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Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).

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pull/571/head
Ross Wightman 4 years ago
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8 changed files with 2710 additions and 2486 deletions
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results/results-imagenet-a-clean.csv
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model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation
tf_efficientnet_l2_ns,98.530,1.470,99.820,0.180,480.31,800,0.960,bicubic tf_efficientnet_l2_ns,98.550,1.450,99.820,0.180,480.31,800,0.960,bicubic
tf_efficientnet_l2_ns_475,98.530,1.470,99.840,0.160,480.31,475,0.936,bicubic tf_efficientnet_l2_ns_475,98.500,1.500,99.830,0.170,480.31,475,0.936,bicubic
tf_efficientnet_b7_ns,97.920,2.080,99.720,0.280,66.35,600,0.949,bicubic swin_large_patch4_window12_384,98.040,1.960,99.690,0.310,196.74,384,1.000,bicubic
dm_nfnet_f6,97.740,2.260,99.580,0.420,438.36,576,0.956,bicubic tf_efficientnet_b7_ns,97.910,2.090,99.720,0.280,66.35,600,0.949,bicubic
tf_efficientnet_b6_ns,97.630,2.370,99.590,0.410,43.04,528,0.942,bicubic swin_base_patch4_window12_384,97.890,2.110,99.710,0.290,87.90,384,1.000,bicubic
dm_nfnet_f4,97.580,2.420,99.530,0.470,316.07,512,0.951,bicubic dm_nfnet_f6,97.730,2.270,99.580,0.420,438.36,576,0.956,bicubic
dm_nfnet_f5,97.580,2.420,99.550,0.450,377.21,544,0.954,bicubic swin_large_patch4_window7_224,97.650,2.350,99.580,0.420,196.53,224,0.900,bicubic
ig_resnext101_32x48d,97.580,2.420,99.690,0.310,828.41,224,0.875,bilinear tf_efficientnet_b6_ns,97.630,2.370,99.580,0.420,43.04,528,0.942,bicubic
tf_efficientnet_b5_ns,97.500,2.500,99.650,0.350,30.39,456,0.934,bicubic ig_resnext101_32x48d,97.620,2.380,99.700,0.300,828.41,224,0.875,bilinear
resnetv2_152x4_bitm,97.470,2.530,99.600,0.400,936.53,480,1.000,bilinear dm_nfnet_f5,97.600,2.400,99.550,0.450,377.21,544,0.954,bicubic
dm_nfnet_f3,97.400,2.600,99.590,0.410,254.92,416,0.940,bicubic dm_nfnet_f4,97.570,2.430,99.520,0.480,316.07,512,0.951,bicubic
ig_resnext101_32x32d,97.320,2.680,99.660,0.340,468.53,224,0.875,bilinear tf_efficientnet_b5_ns,97.500,2.500,99.630,0.370,30.39,456,0.934,bicubic
tf_efficientnet_b8,97.230,2.770,99.500,0.500,87.41,672,0.954,bicubic resnetv2_152x4_bitm,97.490,2.510,99.600,0.400,936.53,480,1.000,bilinear
tf_efficientnet_b7_ap,97.210,2.790,99.550,0.450,66.35,600,0.949,bicubic dm_nfnet_f3,97.360,2.640,99.580,0.420,254.92,416,0.940,bicubic
swsl_resnext101_32x8d,97.200,2.800,99.540,0.460,88.79,224,0.875,bilinear ig_resnext101_32x32d,97.360,2.640,99.680,0.320,468.53,224,0.875,bilinear
vit_base_resnet50_384,97.190,2.810,99.560,0.440,98.95,384,1.000,bicubic swin_base_patch4_window7_224,97.250,2.750,99.530,0.470,87.77,224,0.900,bicubic
resnetv2_152x2_bitm,97.160,2.840,99.580,0.420,236.34,480,1.000,bilinear swsl_resnext101_32x8d,97.200,2.800,99.570,0.430,88.79,224,0.875,bilinear
ecaresnet269d,97.140,2.860,99.460,0.540,102.09,352,1.000,bicubic tf_efficientnet_b7_ap,97.200,2.800,99.540,0.460,66.35,600,0.949,bicubic
vit_large_patch16_384,97.130,2.870,99.640,0.360,304.72,384,1.000,bicubic tf_efficientnet_b8,97.200,2.800,99.500,0.500,87.41,672,0.954,bicubic
tf_efficientnet_b6_ap,97.110,2.890,99.610,0.390,43.04,528,0.942,bicubic vit_base_r50_s16_384,97.180,2.820,99.560,0.440,98.95,384,1.000,bicubic
tf_efficientnet_b8_ap,97.100,2.900,99.660,0.340,87.41,672,0.954,bicubic resnetv2_152x2_bitm,97.150,2.850,99.590,0.410,236.34,480,1.000,bilinear
resnetv2_101x3_bitm,97.040,2.960,99.520,0.480,387.93,480,1.000,bilinear vit_large_patch16_384,97.110,2.890,99.640,0.360,304.72,384,1.000,bicubic
tf_efficientnet_b8_ap,97.110,2.890,99.660,0.340,87.41,672,0.954,bicubic
tf_efficientnet_b6_ap,97.080,2.920,99.620,0.380,43.04,528,0.942,bicubic
ecaresnet269d,97.080,2.920,99.470,0.530,102.09,352,1.000,bicubic
resnetv2_101x3_bitm,97.050,2.950,99.520,0.480,387.93,480,1.000,bilinear
tf_efficientnet_b7,97.010,2.990,99.520,0.480,66.35,600,0.949,bicubic tf_efficientnet_b7,97.010,2.990,99.520,0.480,66.35,600,0.949,bicubic
tf_efficientnet_b4_ns,96.960,3.040,99.600,0.400,19.34,380,0.922,bicubic dm_nfnet_f2,96.960,3.040,99.450,0.550,193.78,352,0.920,bicubic
vit_deit_base_distilled_patch16_384,96.960,3.040,99.490,0.510,87.63,384,1.000,bicubic vit_deit_base_distilled_patch16_384,96.960,3.040,99.480,0.520,87.63,384,1.000,bicubic
dm_nfnet_f1,96.930,3.070,99.380,0.620,132.63,320,0.910,bicubic tf_efficientnet_b4_ns,96.950,3.050,99.580,0.420,19.34,380,0.922,bicubic
dm_nfnet_f2,96.890,3.110,99.450,0.550,193.78,352,0.920,bicubic dm_nfnet_f1,96.920,3.080,99.390,0.610,132.63,320,0.910,bicubic
ig_resnext101_32x16d,96.820,3.180,99.610,0.390,194.03,224,0.875,bilinear ig_resnext101_32x16d,96.820,3.180,99.590,0.410,194.03,224,0.875,bilinear
seresnet152d,96.810,3.190,99.450,0.550,66.84,320,1.000,bicubic seresnet152d,96.770,3.230,99.450,0.550,66.84,320,1.000,bicubic
resnetv2_50x3_bitm,96.770,3.230,99.430,0.570,217.32,480,1.000,bilinear resnetv2_50x3_bitm,96.770,3.230,99.430,0.570,217.32,480,1.000,bilinear
vit_base_patch16_384,96.740,3.260,99.480,0.520,86.86,384,1.000,bicubic resnet200d,96.720,3.280,99.330,0.670,64.69,320,1.000,bicubic
resnet200d,96.720,3.280,99.340,0.660,64.69,320,1.000,bicubic eca_nfnet_l1,96.700,3.300,99.270,0.730,41.41,320,1.000,bicubic
tf_efficientnet_b6,96.690,3.310,99.370,0.630,43.04,528,0.942,bicubic vit_base_patch16_384,96.700,3.300,99.510,0.490,86.86,384,1.000,bicubic
tf_efficientnet_b5_ap,96.670,3.330,99.470,0.530,30.39,456,0.934,bicubic pit_b_distilled_224,96.680,3.320,99.350,0.650,74.79,224,0.900,bicubic
swsl_resnext101_32x16d,96.610,3.390,99.520,0.480,194.03,224,0.875,bilinear tf_efficientnet_b5_ap,96.680,3.320,99.460,0.540,30.39,456,0.934,bicubic
resnest200e,96.550,3.450,99.320,0.680,70.20,320,0.909,bicubic tf_efficientnet_b6,96.670,3.330,99.370,0.630,43.04,528,0.942,bicubic
resnest269e,96.550,3.450,99.350,0.650,110.93,416,0.928,bicubic resnest200e,96.610,3.390,99.350,0.650,70.20,320,0.909,bicubic
swsl_resnext101_32x4d,96.400,3.600,99.450,0.550,44.18,224,0.875,bilinear swsl_resnext101_32x16d,96.600,3.400,99.520,0.480,194.03,224,0.875,bilinear
tf_efficientnet_b3_ns,96.380,3.620,99.340,0.660,12.23,300,0.904,bicubic resnest269e,96.520,3.480,99.350,0.650,110.93,416,0.928,bicubic
tf_efficientnet_b5,96.350,3.650,99.320,0.680,30.39,456,0.934,bicubic swsl_resnext101_32x4d,96.420,3.580,99.470,0.530,44.18,224,0.875,bilinear
resnet152d,96.350,3.650,99.370,0.630,60.21,320,1.000,bicubic tf_efficientnet_b3_ns,96.390,3.610,99.350,0.650,12.23,300,0.904,bicubic
resnet101d,96.300,3.700,99.240,0.760,44.57,320,1.000,bicubic resnet152d,96.360,3.640,99.390,0.610,60.21,320,1.000,bicubic
ig_resnext101_32x8d,96.270,3.730,99.410,0.590,88.79,224,0.875,bilinear regnety_160,96.350,3.650,99.330,0.670,83.59,288,1.000,bicubic
vit_deit_base_patch16_384,96.170,3.830,99.140,0.860,86.86,384,1.000,bicubic tf_efficientnet_b5,96.350,3.650,99.310,0.690,30.39,456,0.934,bicubic
tf_efficientnet_b4_ap,96.150,3.850,99.250,0.750,19.34,380,0.922,bicubic ig_resnext101_32x8d,96.320,3.680,99.430,0.570,88.79,224,0.875,bilinear
resnet101d,96.290,3.710,99.230,0.770,44.57,320,1.000,bicubic
tf_efficientnet_b4_ap,96.160,3.840,99.280,0.720,19.34,380,0.922,bicubic
vit_deit_base_patch16_384,96.150,3.850,99.140,0.860,86.86,384,1.000,bicubic
dm_nfnet_f0,96.140,3.860,99.240,0.760,71.49,256,0.900,bicubic dm_nfnet_f0,96.140,3.860,99.240,0.760,71.49,256,0.900,bicubic
vit_deit_base_distilled_patch16_224,96.110,3.890,99.180,0.820,87.34,224,0.900,bicubic vit_deit_base_distilled_patch16_224,96.090,3.910,99.190,0.810,87.34,224,0.900,bicubic
resnetv2_101x1_bitm,96.090,3.910,99.310,0.690,44.54,480,1.000,bilinear nfnet_l0,96.090,3.910,99.260,0.740,35.07,288,1.000,bicubic
vit_large_patch16_224,95.940,4.060,99.220,0.780,304.33,224,0.900,bicubic resnetv2_101x1_bitm,96.090,3.910,99.300,0.700,44.54,480,1.000,bilinear
tresnet_xl_448,95.930,4.070,99.160,0.840,78.44,448,0.875,bilinear regnety_032,95.970,4.030,99.190,0.810,19.44,288,1.000,bicubic
resnest101e,95.910,4.090,99.180,0.820,48.28,256,0.875,bilinear tresnet_xl_448,95.970,4.030,99.130,0.870,78.44,448,0.875,bilinear
swsl_resnext50_32x4d,95.900,4.100,99.250,0.750,25.03,224,0.875,bilinear vit_large_patch16_224,95.950,4.050,99.240,0.760,304.33,224,0.900,bicubic
tf_efficientnet_b4,95.870,4.130,99.140,0.860,19.34,380,0.922,bicubic eca_nfnet_l0,95.930,4.070,99.210,0.790,24.14,288,1.000,bicubic
tresnet_l_448,95.850,4.150,99.140,0.860,55.99,448,0.875,bilinear swin_small_patch4_window7_224,95.910,4.090,99.020,0.980,49.61,224,0.900,bicubic
vit_base_patch32_384,95.820,4.180,99.150,0.850,88.30,384,1.000,bicubic tf_efficientnet_b4,95.900,4.100,99.170,0.830,19.34,380,0.922,bicubic
vit_large_patch32_384,95.810,4.190,99.150,0.850,306.63,384,1.000,bicubic swsl_resnext50_32x4d,95.870,4.130,99.250,0.750,25.03,224,0.875,bilinear
tf_efficientnet_b2_ns,95.750,4.250,99.150,0.850,9.11,260,0.890,bicubic tresnet_l_448,95.860,4.140,99.120,0.880,55.99,448,0.875,bilinear
efficientnet_b3a,95.720,4.280,99.050,0.950,12.23,320,1.000,bicubic resnest101e,95.860,4.140,99.210,0.790,48.28,256,0.875,bilinear
pnasnet5large,95.690,4.310,98.900,1.100,86.06,331,0.911,bicubic vit_large_patch32_384,95.830,4.170,99.150,0.850,306.63,384,1.000,bicubic
nasnetalarge,95.690,4.310,98.950,1.050,88.75,331,0.911,bicubic vit_base_patch32_384,95.810,4.190,99.150,0.850,88.30,384,1.000,bicubic
ssl_resnext101_32x16d,95.640,4.360,99.130,0.870,194.03,224,0.875,bilinear ssl_resnext101_32x16d,95.800,4.200,99.180,0.820,194.03,224,0.875,bilinear
swsl_resnet50,95.550,4.450,99.260,0.740,25.56,224,0.875,bilinear tf_efficientnet_b2_ns,95.770,4.230,99.120,0.880,9.11,260,0.890,bicubic
ecaresnet50t,95.520,4.480,99.110,0.890,25.57,320,0.950,bicubic efficientnet_b3a,95.710,4.290,99.040,0.960,12.23,320,1.000,bicubic
ssl_resnext101_32x4d,95.510,4.490,99.060,0.940,44.18,224,0.875,bilinear pnasnet5large,95.710,4.290,98.920,1.080,86.06,331,0.911,bicubic
ecaresnet101d,95.490,4.510,99.090,0.910,44.57,224,0.875,bicubic nasnetalarge,95.680,4.320,98.930,1.070,88.75,331,0.911,bicubic
tresnet_xl,95.470,4.530,99.140,0.860,78.44,224,0.875,bilinear pit_b_224,95.640,4.360,98.660,1.340,73.76,224,0.900,bicubic
ssl_resnext101_32x8d,95.440,4.560,99.140,0.860,88.79,224,0.875,bilinear efficientnet_b3,95.580,4.420,99.100,0.900,12.23,300,0.904,bicubic
vit_deit_base_patch16_224,95.440,4.560,98.820,1.180,86.57,224,0.900,bicubic efficientnet_v2s,95.540,4.460,98.960,1.040,23.94,224,1.000,bicubic
efficientnet_b3,95.420,4.580,99.100,0.900,12.23,300,0.904,bicubic ecaresnet101d,95.530,4.470,99.130,0.870,44.57,224,0.875,bicubic
vit_base_patch16_224,95.360,4.640,99.000,1.000,86.57,224,0.900,bicubic ecaresnet50t,95.510,4.490,99.120,0.880,25.57,320,0.950,bicubic
tf_efficientnet_b3_ap,95.310,4.690,98.940,1.060,12.23,300,0.904,bicubic ssl_resnext101_32x8d,95.470,4.530,99.110,0.890,88.79,224,0.875,bilinear
gernet_l,95.190,4.810,98.870,1.130,31.08,256,0.875,bilinear ssl_resnext101_32x4d,95.440,4.560,99.130,0.870,44.18,224,0.875,bilinear
regnety_032,95.180,4.820,99.140,0.860,19.44,224,0.875,bicubic tresnet_xl,95.440,4.560,99.050,0.950,78.44,224,0.875,bilinear
tf_efficientnet_b1_ns,95.180,4.820,99.080,0.920,7.79,240,0.882,bicubic vit_deit_base_patch16_224,95.440,4.560,98.840,1.160,86.57,224,0.900,bicubic
tresnet_l,95.180,4.820,99.010,0.990,55.99,224,0.875,bilinear swsl_resnet50,95.410,4.590,99.290,0.710,25.56,224,0.875,bilinear
gluon_resnet152_v1s,95.110,4.890,98.930,1.070,60.32,224,0.875,bicubic vit_base_patch16_224,95.330,4.670,99.000,1.000,86.57,224,0.900,bicubic
ecaresnet101d_pruned,95.080,4.920,98.960,1.040,24.88,224,0.875,bicubic tf_efficientnet_b3_ap,95.320,4.680,98.900,1.100,12.23,300,0.904,bicubic
seresnext50_32x4d,95.080,4.920,98.910,1.090,27.56,224,0.875,bicubic tresnet_l,95.290,4.710,99.010,0.990,55.99,224,0.875,bilinear
wide_resnet50_2,95.040,4.960,98.990,1.010,68.88,224,0.875,bicubic pit_s_distilled_224,95.240,4.760,99.050,0.950,24.04,224,0.900,bicubic
resnest50d_4s2x40d,95.040,4.960,99.090,0.910,30.42,224,0.875,bicubic tf_efficientnet_b1_ns,95.170,4.830,99.110,0.890,7.79,240,0.882,bicubic
resnetv2_50x1_bitm,95.030,4.970,99.170,0.830,25.55,480,1.000,bilinear swin_tiny_patch4_window7_224,95.140,4.860,98.850,1.150,28.29,224,0.900,bicubic
tf_efficientnet_b3,95.020,4.980,98.900,1.100,12.23,300,0.904,bicubic efficientnet_el,95.120,4.880,98.990,1.010,10.59,300,0.904,bicubic
rexnet_200,95.000,5.000,98.970,1.030,16.37,224,0.875,bicubic gernet_l,95.090,4.910,98.900,1.100,31.08,256,0.875,bilinear
tf_efficientnet_lite4,94.980,5.020,98.990,1.010,13.01,380,0.920,bilinear ecaresnet101d_pruned,95.080,4.920,98.980,1.020,24.88,224,0.875,bicubic
tresnet_m_448,94.980,5.020,98.990,1.010,31.39,448,0.875,bilinear wide_resnet50_2,95.080,4.920,98.970,1.030,68.88,224,0.875,bicubic
legacy_senet154,94.970,5.030,98.870,1.130,115.09,224,0.875,bilinear legacy_senet154,95.070,4.930,98.830,1.170,115.09,224,0.875,bilinear
gluon_senet154,94.950,5.050,98.740,1.260,115.09,224,0.875,bicubic resnetv2_50x1_bitm,95.050,4.950,99.160,0.840,25.55,480,1.000,bilinear
gluon_seresnext101_32x4d,94.940,5.060,98.730,1.270,48.96,224,0.875,bicubic seresnext50_32x4d,95.040,4.960,98.880,1.120,27.56,224,0.875,bicubic
ssl_resnext50_32x4d,94.930,5.070,98.850,1.150,25.03,224,0.875,bilinear tnt_s_patch16_224,95.040,4.960,98.830,1.170,23.76,224,0.900,bicubic
gluon_seresnext101_64x4d,94.880,5.120,98.840,1.160,88.23,224,0.875,bicubic gluon_resnet152_v1s,95.040,4.960,98.930,1.070,60.32,224,0.875,bicubic
gluon_resnet101_v1s,94.750,5.250,98.890,1.110,44.67,224,0.875,bicubic tf_efficientnet_b3,95.010,4.990,98.910,1.090,12.23,300,0.904,bicubic
vit_deit_small_distilled_patch16_224,94.720,5.280,99.030,0.970,22.44,224,0.900,bicubic tresnet_m_448,94.990,5.010,98.980,1.020,31.39,448,0.875,bilinear
ecaresnetlight,94.690,5.310,98.800,1.200,30.16,224,0.875,bicubic resnest50d_4s2x40d,94.960,5.040,99.070,0.930,30.42,224,0.875,bicubic
gernet_m,94.670,5.330,98.840,1.160,21.14,224,0.875,bilinear rexnet_200,94.940,5.060,99.010,0.990,16.37,224,0.875,bicubic
resnest50d,94.670,5.330,98.790,1.210,27.48,224,0.875,bilinear gluon_seresnext101_64x4d,94.930,5.070,98.830,1.170,88.23,224,0.875,bicubic
gluon_resnet152_v1d,94.660,5.340,98.780,1.220,60.21,224,0.875,bicubic gluon_senet154,94.920,5.080,98.760,1.240,115.09,224,0.875,bicubic
resnest50d_1s4x24d,94.660,5.340,99.000,1.000,25.68,224,0.875,bicubic gluon_seresnext101_32x4d,94.920,5.080,98.810,1.190,48.96,224,0.875,bicubic
efficientnet_b3_pruned,94.630,5.370,98.770,1.230,9.86,300,0.904,bicubic tf_efficientnet_lite4,94.890,5.110,99.020,0.980,13.01,380,0.920,bilinear
gluon_resnext101_32x4d,94.630,5.370,98.630,1.370,44.18,224,0.875,bicubic ssl_resnext50_32x4d,94.870,5.130,98.880,1.120,25.03,224,0.875,bilinear
nf_resnet50,94.620,5.380,98.780,1.220,25.56,288,0.940,bicubic resnest50d,94.830,5.170,98.880,1.120,27.48,224,0.875,bilinear
efficientnet_b2a,94.620,5.380,98.730,1.270,9.11,288,1.000,bicubic ecaresnetlight,94.770,5.230,98.800,1.200,30.16,224,0.875,bicubic
regnety_320,94.610,5.390,98.840,1.160,145.05,224,0.875,bicubic resnest50d_1s4x24d,94.750,5.250,98.980,1.020,25.68,224,0.875,bicubic
ecaresnet50d,94.610,5.390,98.870,1.130,25.58,224,0.875,bicubic gluon_resnet152_v1d,94.740,5.260,98.740,1.260,60.21,224,0.875,bicubic
tresnet_m,94.600,5.400,98.560,1.440,31.39,224,0.875,bilinear gluon_resnet101_v1s,94.720,5.280,98.820,1.180,44.67,224,0.875,bicubic
cspdarknet53,94.590,5.410,98.780,1.220,27.64,256,0.887,bilinear vit_deit_small_distilled_patch16_224,94.710,5.290,99.030,0.970,22.44,224,0.900,bicubic
efficientnet_b2,94.560,5.440,98.720,1.280,9.11,260,0.875,bicubic efficientnet_b2,94.700,5.300,98.670,1.330,9.11,260,0.875,bicubic
gluon_resnext101_64x4d,94.550,5.450,98.640,1.360,83.46,224,0.875,bicubic gluon_resnext101_64x4d,94.670,5.330,98.650,1.350,83.46,224,0.875,bicubic
repvgg_b3,94.550,5.450,98.750,1.250,123.09,224,0.875,bilinear cspdarknet53,94.660,5.340,98.800,1.200,27.64,256,0.887,bilinear
seresnet50,94.500,5.500,98.710,1.290,28.09,224,0.875,bicubic ecaresnet50d,94.630,5.370,98.890,1.110,25.58,224,0.875,bicubic
repvgg_b3g4,94.490,5.510,98.950,1.050,83.83,224,0.875,bilinear efficientnet_b3_pruned,94.630,5.370,98.760,1.240,9.86,300,0.904,bicubic
inception_resnet_v2,94.490,5.510,98.770,1.230,55.84,299,0.897,bicubic tresnet_m,94.620,5.380,98.550,1.450,31.39,224,0.875,bilinear
tf_efficientnet_b2_ap,94.460,5.540,98.640,1.360,9.11,260,0.890,bicubic gernet_m,94.620,5.380,98.860,1.140,21.14,224,0.875,bilinear
cspresnext50,94.440,5.560,98.720,1.280,20.57,224,0.875,bilinear efficientnet_b2a,94.610,5.390,98.710,1.290,9.11,288,1.000,bicubic
legacy_seresnext101_32x4d,94.430,5.570,98.580,1.420,48.96,224,0.875,bilinear nf_resnet50,94.590,5.410,98.810,1.190,25.56,288,0.940,bicubic
regnety_120,94.430,5.570,98.870,1.130,51.82,224,0.875,bicubic pit_s_224,94.590,5.410,98.710,1.290,23.46,224,0.900,bicubic
ssl_resnet50,94.430,5.570,98.870,1.130,25.56,224,0.875,bilinear repvgg_b3,94.570,5.430,98.780,1.220,123.09,224,0.875,bilinear
tf_efficientnet_el,94.420,5.580,98.750,1.250,10.59,300,0.904,bicubic seresnet50,94.550,5.450,98.750,1.250,28.09,224,0.875,bicubic
regnety_160,94.410,5.590,98.880,1.120,83.59,224,0.875,bicubic inception_resnet_v2,94.540,5.460,98.790,1.210,55.84,299,0.897,bicubic
tf_efficientnet_b2,94.400,5.600,98.610,1.390,9.11,260,0.890,bicubic regnety_320,94.540,5.460,98.850,1.150,145.05,224,0.875,bicubic
rexnet_150,94.400,5.600,98.820,1.180,9.73,224,0.875,bicubic gluon_resnext101_32x4d,94.530,5.470,98.630,1.370,44.18,224,0.875,bicubic
inception_v4,94.360,5.640,98.560,1.440,42.68,299,0.875,bicubic repvgg_b3g4,94.520,5.480,98.970,1.030,83.83,224,0.875,bilinear
vit_deit_small_patch16_224,94.350,5.650,98.670,1.330,22.05,224,0.900,bicubic tf_efficientnet_b2_ap,94.490,5.510,98.620,1.380,9.11,260,0.890,bicubic
regnetx_320,94.340,5.660,98.810,1.190,107.81,224,0.875,bicubic cspresnext50,94.480,5.520,98.680,1.320,20.57,224,0.875,bilinear
resnet50d,94.340,5.660,98.730,1.270,25.58,224,0.875,bicubic regnety_120,94.480,5.520,98.810,1.190,51.82,224,0.875,bicubic
dpn107,94.330,5.670,98.530,1.470,86.92,224,0.875,bicubic rexnet_150,94.480,5.520,98.790,1.210,9.73,224,0.875,bicubic
ecaresnet26t,94.320,5.680,98.710,1.290,16.01,320,0.950,bicubic regnetx_320,94.460,5.540,98.740,1.260,107.81,224,0.875,bicubic
gluon_seresnext50_32x4d,94.310,5.690,98.590,1.410,27.56,224,0.875,bicubic ssl_resnet50,94.450,5.550,98.920,1.080,25.56,224,0.875,bilinear
ecaresnet50d_pruned,94.280,5.720,98.790,1.210,19.94,224,0.875,bicubic tf_efficientnet_el,94.410,5.590,98.710,1.290,10.59,300,0.904,bicubic
xception71,94.280,5.720,98.620,1.380,42.34,299,0.903,bicubic efficientnet_el_pruned,94.400,5.600,98.740,1.260,10.59,300,0.904,bicubic
gluon_resnet101_v1d,94.270,5.730,98.640,1.360,44.57,224,0.875,bicubic vit_deit_small_patch16_224,94.400,5.600,98.690,1.310,22.05,224,0.900,bicubic
gluon_xception65,94.250,5.750,98.590,1.410,39.92,299,0.903,bicubic inception_v4,94.380,5.620,98.580,1.420,42.68,299,0.875,bicubic
tf_efficientnet_lite3,94.240,5.760,98.630,1.370,8.20,300,0.904,bilinear legacy_seresnext101_32x4d,94.370,5.630,98.650,1.350,48.96,224,0.875,bilinear
regnety_064,94.230,5.770,98.750,1.250,30.58,224,0.875,bicubic tf_efficientnet_b2,94.360,5.640,98.610,1.390,9.11,260,0.890,bicubic
regnetx_160,94.220,5.780,98.800,1.200,54.28,224,0.875,bicubic gluon_seresnext50_32x4d,94.340,5.660,98.610,1.390,27.56,224,0.875,bicubic
dpn92,94.210,5.790,98.730,1.270,37.67,224,0.875,bicubic dpn107,94.310,5.690,98.480,1.520,86.92,224,0.875,bicubic
skresnext50_32x4d,94.200,5.800,98.460,1.540,27.48,224,0.875,bicubic ecaresnet26t,94.310,5.690,98.720,1.280,16.01,320,0.950,bicubic
mixnet_xl,94.190,5.810,98.350,1.650,11.90,224,0.875,bicubic xception71,94.280,5.720,98.640,1.360,42.34,299,0.903,bicubic
gluon_resnet152_v1c,94.180,5.820,98.640,1.360,60.21,224,0.875,bicubic gluon_xception65,94.260,5.740,98.570,1.430,39.92,299,0.903,bicubic
regnety_080,94.160,5.840,98.700,1.300,39.18,224,0.875,bicubic resnet50d,94.260,5.740,98.720,1.280,25.58,224,0.875,bicubic
resnext50d_32x4d,94.160,5.840,98.540,1.460,25.05,224,0.875,bicubic skresnext50_32x4d,94.260,5.740,98.460,1.540,27.48,224,0.875,bicubic
ens_adv_inception_resnet_v2,94.160,5.840,98.630,1.370,55.84,299,0.897,bicubic regnetx_120,94.240,5.760,98.650,1.350,46.11,224,0.875,bicubic
gluon_resnet152_v1b,94.160,5.840,98.520,1.480,60.19,224,0.875,bicubic dpn92,94.230,5.770,98.730,1.270,37.67,224,0.875,bicubic
ese_vovnet39b,94.160,5.840,98.690,1.310,24.57,224,0.875,bicubic gluon_resnet101_v1d,94.220,5.780,98.550,1.450,44.57,224,0.875,bicubic
nf_regnet_b1,94.140,5.860,98.600,1.400,10.22,288,0.900,bicubic ecaresnet50d_pruned,94.220,5.780,98.730,1.270,19.94,224,0.875,bicubic
regnetx_120,94.120,5.880,98.740,1.260,46.11,224,0.875,bicubic tf_efficientnet_lite3,94.200,5.800,98.640,1.360,8.20,300,0.904,bilinear
dpn98,94.100,5.900,98.580,1.420,61.57,224,0.875,bicubic mixnet_xl,94.190,5.810,98.340,1.660,11.90,224,0.875,bicubic
efficientnet_b2_pruned,94.090,5.910,98.520,1.480,8.31,260,0.890,bicubic resnext50d_32x4d,94.180,5.820,98.570,1.430,25.05,224,0.875,bicubic
hrnet_w64,94.030,5.970,98.490,1.510,128.06,224,0.875,bilinear regnety_080,94.170,5.830,98.680,1.320,39.18,224,0.875,bicubic
resnext50_32x4d,94.010,5.990,98.390,1.610,25.03,224,0.875,bicubic ens_adv_inception_resnet_v2,94.160,5.840,98.600,1.400,55.84,299,0.897,bicubic
resnetblur50,93.980,6.020,98.520,1.480,25.56,224,0.875,bicubic gluon_resnet152_v1c,94.160,5.840,98.640,1.360,60.21,224,0.875,bicubic
tf_efficientnet_cc_b1_8e,93.960,6.040,98.240,1.760,39.72,240,0.882,bicubic regnety_064,94.150,5.850,98.730,1.270,30.58,224,0.875,bicubic
dla102x2,93.940,6.060,98.560,1.440,41.28,224,0.875,bilinear efficientnet_b2_pruned,94.140,5.860,98.530,1.470,8.31,260,0.890,bicubic
regnetx_064,93.940,6.060,98.670,1.330,26.21,224,0.875,bicubic nf_regnet_b1,94.130,5.870,98.630,1.370,10.22,288,0.900,bicubic
regnety_040,93.930,6.070,98.690,1.310,20.65,224,0.875,bicubic dpn98,94.130,5.870,98.570,1.430,61.57,224,0.875,bicubic
resnet50,93.930,6.070,98.340,1.660,25.56,224,0.875,bicubic regnetx_160,94.120,5.880,98.750,1.250,54.28,224,0.875,bicubic
repvgg_b2g4,93.920,6.080,98.600,1.400,61.76,224,0.875,bilinear resnext50_32x4d,94.100,5.900,98.350,1.650,25.03,224,0.875,bicubic
regnetx_080,93.900,6.100,98.540,1.460,39.57,224,0.875,bicubic ese_vovnet39b,94.090,5.910,98.660,1.340,24.57,224,0.875,bicubic
efficientnet_em,93.900,6.100,98.820,1.180,6.90,240,0.882,bicubic gluon_resnet152_v1b,94.080,5.920,98.450,1.550,60.19,224,0.875,bicubic
dpn131,93.880,6.120,98.740,1.260,79.25,224,0.875,bicubic dpn131,94.010,5.990,98.720,1.280,79.25,224,0.875,bicubic
wide_resnet101_2,93.880,6.120,98.570,1.430,126.89,224,0.875,bilinear hrnet_w64,94.010,5.990,98.610,1.390,128.06,224,0.875,bilinear
resnext101_32x8d,93.860,6.140,98.650,1.350,88.79,224,0.875,bilinear resnetblur50,93.960,6.040,98.590,1.410,25.56,224,0.875,bicubic
rexnet_130,93.840,6.160,98.400,1.600,7.56,224,0.875,bicubic dla102x2,93.950,6.050,98.490,1.510,41.28,224,0.875,bilinear
hrnet_w48,93.830,6.170,98.630,1.370,77.47,224,0.875,bilinear hrnet_w48,93.920,6.080,98.610,1.390,77.47,224,0.875,bilinear
gluon_resnet101_v1c,93.790,6.210,98.400,1.600,44.57,224,0.875,bicubic tf_efficientnet_cc_b1_8e,93.900,6.100,98.260,1.740,39.72,240,0.882,bicubic
gluon_resnet101_v1b,93.760,6.240,98.470,1.530,44.55,224,0.875,bicubic rexnet_130,93.900,6.100,98.400,1.600,7.56,224,0.875,bicubic
xception65,93.760,6.240,98.350,1.650,39.92,299,0.903,bicubic regnetx_064,93.890,6.110,98.630,1.370,26.21,224,0.875,bicubic
cspresnet50,93.750,6.250,98.670,1.330,21.62,256,0.887,bilinear regnetx_080,93.870,6.130,98.520,1.480,39.57,224,0.875,bicubic
legacy_seresnext50_32x4d,93.740,6.260,98.510,1.490,27.56,224,0.875,bilinear regnety_040,93.860,6.140,98.650,1.350,20.65,224,0.875,bicubic
gluon_resnext50_32x4d,93.720,6.280,98.470,1.530,25.03,224,0.875,bicubic repvgg_b2g4,93.860,6.140,98.590,1.410,61.76,224,0.875,bilinear
gluon_resnet50_v1d,93.710,6.290,98.390,1.610,25.58,224,0.875,bicubic efficientnet_em,93.840,6.160,98.810,1.190,6.90,240,0.882,bicubic
gluon_resnet50_v1s,93.700,6.300,98.470,1.530,25.68,224,0.875,bicubic resnext101_32x8d,93.830,6.170,98.580,1.420,88.79,224,0.875,bilinear
tf_efficientnet_b1_ap,93.700,6.300,98.370,1.630,7.79,240,0.882,bicubic gluon_resnext50_32x4d,93.810,6.190,98.410,1.590,25.03,224,0.875,bicubic
hrnet_w44,93.660,6.340,98.690,1.310,67.06,224,0.875,bilinear pit_xs_distilled_224,93.810,6.190,98.670,1.330,11.00,224,0.900,bicubic
res2net50_26w_8s,93.650,6.350,98.270,1.730,48.40,224,0.875,bilinear resnet50,93.810,6.190,98.390,1.610,25.56,224,0.875,bicubic
res2net101_26w_4s,93.650,6.350,98.400,1.600,45.21,224,0.875,bilinear gluon_resnet50_v1d,93.770,6.230,98.390,1.610,25.58,224,0.875,bicubic
dpn68b,93.600,6.400,98.510,1.490,12.61,224,0.875,bicubic xception65,93.760,6.240,98.370,1.630,39.92,299,0.903,bicubic
dla102x,93.560,6.440,98.560,1.440,26.31,224,0.875,bilinear res2net101_26w_4s,93.750,6.250,98.310,1.690,45.21,224,0.875,bilinear
regnetx_040,93.550,6.450,98.460,1.540,22.12,224,0.875,bicubic gluon_resnet101_v1b,93.750,6.250,98.380,1.620,44.55,224,0.875,bicubic
res2net50_26w_6s,93.530,6.470,98.430,1.570,37.05,224,0.875,bilinear cspresnet50,93.740,6.260,98.640,1.360,21.62,256,0.887,bilinear
tf_efficientnet_b0_ns,93.520,6.480,98.620,1.380,5.29,224,0.875,bicubic legacy_seresnext50_32x4d,93.730,6.270,98.580,1.420,27.56,224,0.875,bilinear
tf_efficientnet_b1,93.490,6.510,98.340,1.660,7.79,240,0.882,bicubic wide_resnet101_2,93.720,6.280,98.540,1.460,126.89,224,0.875,bilinear
hrnet_w32,93.470,6.530,98.390,1.610,41.23,224,0.875,bilinear dpn68b,93.690,6.310,98.510,1.490,12.61,224,0.875,bicubic
gluon_inception_v3,93.460,6.540,98.600,1.400,23.83,299,0.875,bicubic tf_efficientnet_b1_ap,93.690,6.310,98.360,1.640,7.79,240,0.882,bicubic
xception41,93.460,6.540,98.410,1.590,26.97,299,0.903,bicubic gluon_resnet101_v1c,93.670,6.330,98.420,1.580,44.57,224,0.875,bicubic
hrnet_w40,93.450,6.550,98.570,1.430,57.56,224,0.875,bilinear tf_efficientnet_b0_ns,93.630,6.370,98.640,1.360,5.29,224,0.875,bicubic
repvgg_b2,93.440,6.560,98.700,1.300,89.02,224,0.875,bilinear gluon_resnet50_v1s,93.620,6.380,98.460,1.540,25.68,224,0.875,bicubic
resnest26d,93.440,6.560,98.600,1.400,17.07,224,0.875,bilinear regnetx_040,93.560,6.440,98.540,1.460,22.12,224,0.875,bicubic
mixnet_l,93.440,6.560,98.270,1.730,7.33,224,0.875,bicubic hrnet_w44,93.550,6.450,98.700,1.300,67.06,224,0.875,bilinear
repvgg_b1,93.410,6.590,98.530,1.470,57.42,224,0.875,bilinear res2net50_26w_8s,93.540,6.460,98.260,1.740,48.40,224,0.875,bilinear
dla169,93.390,6.610,98.550,1.450,53.39,224,0.875,bilinear hrnet_w32,93.530,6.470,98.450,1.550,41.23,224,0.875,bilinear
xception,93.380,6.620,98.520,1.480,22.86,299,0.897,bicubic dla102x,93.520,6.480,98.510,1.490,26.31,224,0.875,bilinear
tf_mixnet_l,93.360,6.640,98.040,1.960,7.33,224,0.875,bicubic repvgg_b2,93.500,6.500,98.730,1.270,89.02,224,0.875,bilinear
legacy_seresnet152,93.330,6.670,98.380,1.620,66.82,224,0.875,bilinear tf_efficientnet_b1,93.500,6.500,98.360,1.640,7.79,240,0.882,bicubic
tv_resnet152,93.330,6.670,98.370,1.630,60.19,224,0.875,bilinear hrnet_w40,93.490,6.510,98.580,1.420,57.56,224,0.875,bilinear
selecsls60b,93.300,6.700,98.310,1.690,32.77,224,0.875,bicubic gluon_inception_v3,93.460,6.540,98.570,1.430,23.83,299,0.875,bicubic
legacy_seresnet101,93.280,6.720,98.470,1.530,49.33,224,0.875,bilinear xception,93.460,6.540,98.530,1.470,22.86,299,0.897,bicubic
tf_inception_v3,93.270,6.730,98.050,1.950,23.83,299,0.875,bicubic mixnet_l,93.450,6.550,98.220,1.780,7.33,224,0.875,bicubic
efficientnet_b1,93.250,6.750,98.170,1.830,7.79,240,0.875,bicubic xception41,93.430,6.570,98.430,1.570,26.97,299,0.903,bicubic
regnety_016,93.250,6.750,98.400,1.600,11.20,224,0.875,bicubic res2net50_26w_6s,93.410,6.590,98.280,1.720,37.05,224,0.875,bilinear
dla60_res2net,93.190,6.810,98.390,1.610,20.85,224,0.875,bilinear legacy_seresnet152,93.400,6.600,98.350,1.650,66.82,224,0.875,bilinear
dla60_res2next,93.170,6.830,98.430,1.570,17.03,224,0.875,bilinear dla169,93.340,6.660,98.600,1.400,53.39,224,0.875,bilinear
dla60x,93.130,6.870,98.520,1.480,17.35,224,0.875,bilinear repvgg_b1,93.330,6.670,98.510,1.490,57.42,224,0.875,bilinear
hrnet_w30,93.130,6.870,98.400,1.600,37.71,224,0.875,bilinear resnest26d,93.330,6.670,98.630,1.370,17.07,224,0.875,bilinear
dla102,93.090,6.910,98.490,1.510,33.27,224,0.875,bilinear tf_inception_v3,93.320,6.680,98.030,1.970,23.83,299,0.875,bicubic
rexnet_100,93.080,6.920,98.150,1.850,4.80,224,0.875,bicubic tf_mixnet_l,93.310,6.690,98.030,1.970,7.33,224,0.875,bicubic
efficientnet_es,93.070,6.930,98.480,1.520,5.44,224,0.875,bicubic selecsls60b,93.300,6.700,98.280,1.720,32.77,224,0.875,bicubic
regnetx_032,93.060,6.940,98.340,1.660,15.30,224,0.875,bicubic tv_resnet152,93.300,6.700,98.390,1.610,60.19,224,0.875,bilinear
gluon_resnet50_v1c,93.030,6.970,98.330,1.670,25.58,224,0.875,bicubic legacy_seresnet101,93.280,6.720,98.510,1.490,49.33,224,0.875,bilinear
legacy_seresnet50,93.010,6.990,98.180,1.820,28.09,224,0.875,bilinear efficientnet_b1,93.260,6.740,98.170,1.830,7.79,240,0.875,bicubic
selecsls60,92.960,7.040,98.220,1.780,30.67,224,0.875,bicubic hrnet_w30,93.200,6.800,98.410,1.590,37.71,224,0.875,bilinear
tf_efficientnet_em,92.940,7.060,98.190,1.810,6.90,240,0.882,bicubic dla60_res2net,93.180,6.820,98.420,1.580,20.85,224,0.875,bilinear
adv_inception_v3,92.890,7.110,98.170,1.830,23.83,299,0.875,bicubic dla60_res2next,93.180,6.820,98.410,1.590,17.03,224,0.875,bilinear
res2next50,92.890,7.110,98.190,1.810,24.67,224,0.875,bilinear efficientnet_es,93.140,6.860,98.420,1.580,5.44,224,0.875,bicubic
repvgg_b1g4,92.820,7.180,98.380,1.620,39.97,224,0.875,bilinear dla60x,93.120,6.880,98.510,1.490,17.35,224,0.875,bilinear
tf_efficientnet_cc_b0_8e,92.820,7.180,98.260,1.740,24.01,224,0.875,bicubic regnetx_032,93.120,6.880,98.390,1.610,15.30,224,0.875,bicubic
tv_resnet101,92.810,7.190,98.260,1.740,44.55,224,0.875,bilinear pit_xs_224,93.110,6.890,98.310,1.690,10.62,224,0.900,bicubic
res2net50_14w_8s,92.800,7.200,98.170,1.830,25.06,224,0.875,bilinear dla102,93.060,6.940,98.540,1.460,33.27,224,0.875,bilinear
resnet34d,92.770,7.230,98.260,1.740,21.82,224,0.875,bicubic rexnet_100,93.030,6.970,98.190,1.810,4.80,224,0.875,bicubic
tv_resnext50_32x4d,92.770,7.230,98.200,1.800,25.03,224,0.875,bilinear selecsls60,93.030,6.970,98.300,1.700,30.67,224,0.875,bicubic
efficientnet_b1_pruned,92.760,7.240,98.040,1.960,6.33,240,0.882,bicubic regnety_016,93.030,6.970,98.360,1.640,11.20,224,0.875,bicubic
vit_small_patch16_224,92.730,7.270,97.920,2.080,48.75,224,0.900,bicubic gluon_resnet50_v1c,93.030,6.970,98.390,1.610,25.58,224,0.875,bicubic
inception_v3,92.710,7.290,97.960,2.040,23.83,299,0.875,bicubic repvgg_b1g4,92.980,7.020,98.430,1.570,39.97,224,0.875,bilinear
seresnext26t_32x4d,92.700,7.300,98.380,1.620,16.81,224,0.875,bicubic legacy_seresnet50,92.960,7.040,98.190,1.810,28.09,224,0.875,bilinear
tf_efficientnet_lite2,92.690,7.310,98.220,1.780,6.09,260,0.890,bicubic hardcorenas_f,92.950,7.050,98.160,1.840,8.20,224,0.875,bilinear
densenet161,92.680,7.320,98.350,1.650,28.68,224,0.875,bicubic tf_efficientnet_em,92.930,7.070,98.190,1.810,6.90,240,0.882,bicubic
seresnext26d_32x4d,92.680,7.320,98.130,1.870,16.81,224,0.875,bicubic adv_inception_v3,92.880,7.120,98.140,1.860,23.83,299,0.875,bicubic
densenet201,92.670,7.330,98.260,1.740,20.01,224,0.875,bicubic res2next50,92.840,7.160,98.180,1.820,24.67,224,0.875,bilinear
gluon_resnet50_v1b,92.620,7.380,98.170,1.830,25.56,224,0.875,bicubic tf_efficientnet_cc_b0_8e,92.830,7.170,98.180,1.820,24.01,224,0.875,bicubic
tf_efficientnet_lite1,92.600,7.400,98.050,1.950,5.42,240,0.882,bicubic seresnext26t_32x4d,92.820,7.180,98.370,1.630,16.81,224,0.875,bicubic
res2net50_48w_2s,92.580,7.420,98.070,1.930,25.29,224,0.875,bilinear tv_resnet101,92.810,7.190,98.250,1.750,44.55,224,0.875,bilinear
tf_efficientnet_cc_b0_4e,92.560,7.440,98.140,1.860,13.31,224,0.875,bicubic efficientnet_b1_pruned,92.770,7.230,98.040,1.960,6.33,240,0.882,bicubic
efficientnet_b0,92.550,7.450,98.080,1.920,5.29,224,0.875,bicubic vit_small_patch16_224,92.760,7.240,97.930,2.070,48.75,224,0.900,bicubic
legacy_seresnext26_32x4d,92.520,7.480,98.150,1.850,16.79,224,0.875,bicubic densenet201,92.750,7.250,98.230,1.770,20.01,224,0.875,bicubic
res2net50_26w_4s,92.480,7.520,98.140,1.860,25.70,224,0.875,bilinear res2net50_14w_8s,92.740,7.260,98.180,1.820,25.06,224,0.875,bilinear
mobilenetv2_120d,92.470,7.530,98.000,2.000,5.83,224,0.875,bicubic tv_resnext50_32x4d,92.740,7.260,98.270,1.730,25.03,224,0.875,bilinear
mixnet_m,92.450,7.550,97.870,2.130,5.01,224,0.875,bicubic inception_v3,92.720,7.280,97.970,2.030,23.83,299,0.875,bicubic
skresnet34,92.410,7.590,98.220,1.780,22.28,224,0.875,bicubic seresnext26d_32x4d,92.700,7.300,98.150,1.850,16.81,224,0.875,bicubic
tf_mixnet_m,92.380,7.620,97.910,2.090,5.01,224,0.875,bicubic efficientnet_b0,92.690,7.310,98.070,1.930,5.29,224,0.875,bicubic
hrnet_w18,92.320,7.680,98.310,1.690,21.30,224,0.875,bilinear resnet34d,92.680,7.320,98.310,1.690,21.82,224,0.875,bicubic
ese_vovnet19b_dw,92.300,7.700,98.080,1.920,6.54,224,0.875,bicubic tf_efficientnet_lite2,92.650,7.350,98.230,1.770,6.09,260,0.890,bicubic
tf_efficientnet_b0,92.260,7.740,97.900,2.100,5.29,224,0.875,bicubic legacy_seresnext26_32x4d,92.640,7.360,98.130,1.870,16.79,224,0.875,bicubic
selecsls42b,92.240,7.760,98.200,1.800,32.46,224,0.875,bicubic tf_efficientnet_lite1,92.620,7.380,98.080,1.920,5.42,240,0.882,bicubic
tf_efficientnet_b0_ap,92.180,7.820,98.050,1.950,5.29,224,0.875,bicubic tf_efficientnet_cc_b0_4e,92.590,7.410,98.080,1.920,13.31,224,0.875,bicubic
dla60,92.140,7.860,98.060,1.940,22.04,224,0.875,bilinear hardcorenas_e,92.570,7.430,98.110,1.890,8.07,224,0.875,bilinear
regnetx_016,92.140,7.860,98.280,1.720,9.19,224,0.875,bicubic res2net50_48w_2s,92.550,7.450,98.080,1.920,25.29,224,0.875,bilinear
repvgg_a2,92.120,7.880,98.200,1.800,28.21,224,0.875,bilinear gluon_resnet50_v1b,92.540,7.460,98.170,1.830,25.56,224,0.875,bicubic
densenet169,92.080,7.920,98.170,1.830,14.15,224,0.875,bicubic densenet161,92.500,7.500,98.290,1.710,28.68,224,0.875,bicubic
resnet26d,92.080,7.920,98.000,2.000,16.01,224,0.875,bicubic res2net50_26w_4s,92.500,7.500,98.060,1.940,25.70,224,0.875,bilinear
dpn68,92.060,7.940,98.060,1.940,12.61,224,0.875,bicubic mixnet_m,92.430,7.570,97.870,2.130,5.01,224,0.875,bicubic
tf_efficientnet_es,92.000,8.000,97.890,2.110,5.44,224,0.875,bicubic mobilenetv2_120d,92.400,7.600,98.050,1.950,5.83,224,0.875,bicubic
gernet_s,91.960,8.040,98.210,1.790,8.17,224,0.875,bilinear hardcorenas_d,92.400,7.600,98.070,1.930,7.50,224,0.875,bilinear
tv_resnet50,91.910,8.090,98.060,1.940,25.56,224,0.875,bilinear skresnet34,92.390,7.610,98.150,1.850,22.28,224,0.875,bicubic
mobilenetv2_140,91.860,8.140,97.870,2.130,6.11,224,0.875,bicubic tf_mixnet_m,92.330,7.670,97.890,2.110,5.01,224,0.875,bicubic
regnety_008,91.860,8.140,98.190,1.810,6.26,224,0.875,bicubic hrnet_w18,92.320,7.680,98.240,1.760,21.30,224,0.875,bilinear
ese_vovnet19b_dw,92.290,7.710,98.090,1.910,6.54,224,0.875,bicubic
selecsls42b,92.280,7.720,98.150,1.850,32.46,224,0.875,bicubic
tf_efficientnet_b0,92.250,7.750,98.000,2.000,5.29,224,0.875,bicubic
dla60,92.230,7.770,98.110,1.890,22.04,224,0.875,bilinear
tf_efficientnet_b0_ap,92.200,7.800,98.020,1.980,5.29,224,0.875,bicubic
regnetx_016,92.170,7.830,98.210,1.790,9.19,224,0.875,bicubic
gernet_s,92.140,7.860,98.190,1.810,8.17,224,0.875,bilinear
resnet26d,92.070,7.930,97.960,2.040,16.01,224,0.875,bicubic
hardcorenas_c,92.020,7.980,97.840,2.160,5.52,224,0.875,bilinear
dpn68,92.010,7.990,98.050,1.950,12.61,224,0.875,bicubic
tf_efficientnet_es,91.980,8.020,97.860,2.140,5.44,224,0.875,bicubic
repvgg_a2,91.940,8.060,98.150,1.850,28.21,224,0.875,bilinear
densenet169,91.930,8.070,98.100,1.900,14.15,224,0.875,bicubic
densenetblur121d,91.910,8.090,98.070,1.930,8.00,224,0.875,bicubic
tv_resnet50,91.880,8.120,98.040,1.960,25.56,224,0.875,bilinear
mixnet_s,91.830,8.170,97.690,2.310,4.13,224,0.875,bicubic mixnet_s,91.830,8.170,97.690,2.310,4.13,224,0.875,bicubic
densenetblur121d,91.750,8.250,98.100,1.900,8.00,224,0.875,bicubic mobilenetv2_140,91.830,8.170,97.860,2.140,6.11,224,0.875,bicubic
densenet121,91.700,8.300,98.010,1.990,7.98,224,0.875,bicubic hardcorenas_b,91.770,8.230,97.780,2.220,5.18,224,0.875,bilinear
resnest14d,91.530,8.470,97.950,2.050,10.61,224,0.875,bilinear regnety_008,91.750,8.250,98.180,1.820,6.26,224,0.875,bicubic
repvgg_b0,91.420,8.580,97.920,2.080,15.82,224,0.875,bilinear resnest14d,91.720,8.280,97.870,2.130,10.61,224,0.875,bilinear
tf_mixnet_s,91.420,8.580,97.610,2.390,4.13,224,0.875,bicubic densenet121,91.570,8.430,98.030,1.970,7.98,224,0.875,bicubic
hrnet_w18_small_v2,91.340,8.660,97.950,2.050,15.60,224,0.875,bilinear tf_mixnet_s,91.510,8.490,97.620,2.380,4.13,224,0.875,bicubic
regnety_006,91.280,8.720,97.810,2.190,6.06,224,0.875,bicubic repvgg_b0,91.430,8.570,97.990,2.010,15.82,224,0.875,bilinear
semnasnet_100,91.260,8.740,97.560,2.440,3.89,224,0.875,bicubic regnety_006,91.370,8.630,97.710,2.290,6.06,224,0.875,bicubic
mobilenetv3_rw,91.200,8.800,97.650,2.350,5.48,224,0.875,bicubic hardcorenas_a,91.350,8.650,97.860,2.140,5.26,224,0.875,bilinear
resnet34,91.180,8.820,97.550,2.450,21.80,224,0.875,bilinear mobilenetv3_large_100,91.320,8.680,97.710,2.290,5.48,224,0.875,bicubic
resnet26,91.180,8.820,97.800,2.200,16.00,224,0.875,bicubic semnasnet_100,91.280,8.720,97.560,2.440,3.89,224,0.875,bicubic
regnetx_008,91.180,8.820,97.730,2.270,7.26,224,0.875,bicubic tf_mobilenetv3_large_100,91.240,8.760,97.660,2.340,5.48,224,0.875,bilinear
mobilenetv3_large_100,91.120,8.880,97.700,2.300,5.48,224,0.875,bicubic mobilenetv3_rw,91.210,8.790,97.660,2.340,5.48,224,0.875,bicubic
tf_mobilenetv3_large_100,91.110,8.890,97.670,2.330,5.48,224,0.875,bilinear hrnet_w18_small_v2,91.190,8.810,97.900,2.100,15.60,224,0.875,bilinear
efficientnet_lite0,91.070,8.930,97.660,2.340,4.65,224,0.875,bicubic efficientnet_es_pruned,91.180,8.820,97.750,2.250,5.44,224,0.875,bicubic
tf_efficientnet_lite0,91.020,8.980,97.420,2.580,4.65,224,0.875,bicubic efficientnet_lite0,91.140,8.860,97.630,2.370,4.65,224,0.875,bicubic
tv_densenet121,90.980,9.020,97.740,2.260,7.98,224,0.875,bicubic resnet34,91.130,8.870,97.620,2.380,21.80,224,0.875,bilinear
gluon_resnet34_v1b,90.970,9.030,97.640,2.360,21.80,224,0.875,bicubic resnet26,91.110,8.890,97.740,2.260,16.00,224,0.875,bicubic
legacy_seresnet34,90.970,9.030,97.610,2.390,21.96,224,0.875,bilinear regnetx_008,91.050,8.950,97.710,2.290,7.26,224,0.875,bicubic
mobilenetv2_110d,90.860,9.140,97.610,2.390,4.52,224,0.875,bicubic tf_efficientnet_lite0,91.040,8.960,97.590,2.410,4.65,224,0.875,bicubic
fbnetc_100,90.850,9.150,97.240,2.760,5.57,224,0.875,bilinear gluon_resnet34_v1b,90.960,9.040,97.630,2.370,21.80,224,0.875,bicubic
dla34,90.790,9.210,97.590,2.410,15.74,224,0.875,bilinear mobilenetv2_110d,90.950,9.050,97.550,2.450,4.52,224,0.875,bicubic
swsl_resnet18,90.770,9.230,97.770,2.230,11.69,224,0.875,bilinear pit_ti_distilled_224,90.900,9.100,97.700,2.300,5.10,224,0.900,bicubic
vit_deit_tiny_distilled_patch16_224,90.670,9.330,97.560,2.440,5.91,224,0.900,bicubic legacy_seresnet34,90.890,9.110,97.580,2.420,21.96,224,0.875,bilinear
regnety_004,90.480,9.520,97.510,2.490,4.34,224,0.875,bicubic tv_densenet121,90.890,9.110,97.710,2.290,7.98,224,0.875,bicubic
mnasnet_100,90.460,9.540,97.490,2.510,4.38,224,0.875,bicubic dla34,90.760,9.240,97.660,2.340,15.74,224,0.875,bilinear
regnetx_006,90.380,9.620,97.320,2.680,6.20,224,0.875,bicubic fbnetc_100,90.700,9.300,97.210,2.790,5.57,224,0.875,bilinear
spnasnet_100,90.370,9.630,97.160,2.840,4.42,224,0.875,bilinear vit_deit_tiny_distilled_patch16_224,90.700,9.300,97.570,2.430,5.91,224,0.900,bicubic
ssl_resnet18,90.250,9.750,97.620,2.380,11.69,224,0.875,bilinear swsl_resnet18,90.690,9.310,97.700,2.300,11.69,224,0.875,bilinear
vgg19_bn,90.090,9.910,97.610,2.390,143.68,224,0.875,bilinear mnasnet_100,90.510,9.490,97.470,2.530,4.38,224,0.875,bicubic
vgg16_bn,90.040,9.960,97.360,2.640,138.37,224,0.875,bilinear regnety_004,90.500,9.500,97.540,2.460,4.34,224,0.875,bicubic
tv_resnet34,89.970,10.030,97.390,2.610,21.80,224,0.875,bilinear regnetx_006,90.350,9.650,97.430,2.570,6.20,224,0.875,bicubic
skresnet18,89.760,10.240,97.320,2.680,11.96,224,0.875,bicubic spnasnet_100,90.350,9.650,97.190,2.810,4.42,224,0.875,bilinear
tf_mobilenetv3_large_075,89.660,10.340,97.280,2.720,3.99,224,0.875,bilinear ssl_resnet18,90.220,9.780,97.550,2.450,11.69,224,0.875,bilinear
vit_deit_tiny_patch16_224,89.650,10.350,97.440,2.560,5.72,224,0.900,bicubic vgg16_bn,90.090,9.910,97.370,2.630,138.37,224,0.875,bilinear
mobilenetv2_100,89.460,10.540,97.200,2.800,3.50,224,0.875,bicubic vgg19_bn,90.080,9.920,97.580,2.420,143.68,224,0.875,bilinear
resnet18d,89.150,10.850,97.220,2.780,11.71,224,0.875,bicubic pit_ti_224,89.940,10.060,97.450,2.550,4.85,224,0.900,bicubic
vgg19,89.120,10.880,96.900,3.100,143.67,224,0.875,bilinear tv_resnet34,89.940,10.060,97.340,2.660,21.80,224,0.875,bilinear
regnetx_004,89.030,10.970,97.090,2.910,5.16,224,0.875,bicubic tf_mobilenetv3_large_075,89.680,10.320,97.210,2.790,3.99,224,0.875,bilinear
tf_mobilenetv3_large_minimal_100,88.940,11.060,96.810,3.190,3.92,224,0.875,bilinear vit_deit_tiny_patch16_224,89.670,10.330,97.450,2.550,5.72,224,0.900,bicubic
legacy_seresnet18,88.910,11.090,96.990,3.010,11.78,224,0.875,bicubic skresnet18,89.660,10.340,97.230,2.770,11.96,224,0.875,bicubic
vgg13_bn,88.840,11.160,96.980,3.020,133.05,224,0.875,bilinear mobilenetv2_100,89.600,10.400,97.140,2.860,3.50,224,0.875,bicubic
hrnet_w18_small,88.810,11.190,96.990,3.010,13.19,224,0.875,bilinear resnet18d,89.280,10.720,97.150,2.850,11.71,224,0.875,bicubic
vgg16,88.640,11.360,96.780,3.220,138.36,224,0.875,bilinear hrnet_w18_small,89.050,10.950,97.110,2.890,13.19,224,0.875,bilinear
gluon_resnet18_v1b,88.280,11.720,96.640,3.360,11.69,224,0.875,bicubic vgg19,89.040,10.960,96.870,3.130,143.67,224,0.875,bilinear
vgg11_bn,87.560,12.440,96.800,3.200,132.87,224,0.875,bilinear tf_mobilenetv3_large_minimal_100,88.970,11.030,96.860,3.140,3.92,224,0.875,bilinear
regnety_002,87.400,12.600,96.670,3.330,3.16,224,0.875,bicubic regnetx_004,88.900,11.100,97.120,2.880,5.16,224,0.875,bicubic
resnet18,87.400,12.600,96.280,3.720,11.69,224,0.875,bilinear legacy_seresnet18,88.880,11.120,96.980,3.020,11.78,224,0.875,bicubic
vgg13,87.060,12.940,96.240,3.760,133.05,224,0.875,bilinear vgg13_bn,88.760,11.240,96.970,3.030,133.05,224,0.875,bilinear
vgg11,86.560,13.440,96.220,3.780,132.86,224,0.875,bilinear vgg16,88.550,11.450,96.790,3.210,138.36,224,0.875,bilinear
dla60x_c,86.260,13.740,96.100,3.900,1.32,224,0.875,bilinear gluon_resnet18_v1b,88.400,11.600,96.680,3.320,11.69,224,0.875,bicubic
regnetx_002,86.150,13.850,96.020,3.980,2.68,224,0.875,bicubic vgg11_bn,87.500,12.500,96.820,3.180,132.87,224,0.875,bilinear
tf_mobilenetv3_small_100,85.350,14.650,95.640,4.360,2.54,224,0.875,bilinear resnet18,87.390,12.610,96.290,3.710,11.69,224,0.875,bilinear
dla46x_c,84.430,15.570,95.340,4.660,1.07,224,0.875,bilinear regnety_002,87.380,12.620,96.590,3.410,3.16,224,0.875,bicubic
dla46_c,83.560,16.440,94.890,5.110,1.30,224,0.875,bilinear vgg13,87.050,12.950,96.320,3.680,133.05,224,0.875,bilinear
tf_mobilenetv3_small_075,83.470,16.530,94.700,5.300,2.04,224,0.875,bilinear vgg11,86.550,13.450,96.280,3.720,132.86,224,0.875,bilinear
tf_mobilenetv3_small_minimal_100,81.550,18.450,93.710,6.290,2.04,224,0.875,bilinear dla60x_c,86.290,13.710,96.160,3.840,1.32,224,0.875,bilinear
regnetx_002,86.190,13.810,95.980,4.020,2.68,224,0.875,bicubic
tf_mobilenetv3_small_100,85.190,14.810,95.770,4.230,2.54,224,0.875,bilinear
dla46x_c,84.250,15.750,95.270,4.730,1.07,224,0.875,bilinear
dla46_c,83.650,16.350,94.920,5.080,1.30,224,0.875,bilinear
tf_mobilenetv3_small_075,83.520,16.480,94.790,5.210,2.04,224,0.875,bilinear
tf_mobilenetv3_small_minimal_100,81.380,18.620,93.670,6.330,2.04,224,0.875,bilinear

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
2 tf_efficientnet_l2_ns 98.530 98.550 1.470 1.450 99.820 0.180 480.31 800 0.960 bicubic
3 tf_efficientnet_l2_ns_475 98.530 98.500 1.470 1.500 99.840 99.830 0.160 0.170 480.31 475 0.936 bicubic
4 tf_efficientnet_b7_ns swin_large_patch4_window12_384 97.920 98.040 2.080 1.960 99.720 99.690 0.280 0.310 66.35 196.74 600 384 0.949 1.000 bicubic
5 dm_nfnet_f6 tf_efficientnet_b7_ns 97.740 97.910 2.260 2.090 99.580 99.720 0.420 0.280 438.36 66.35 576 600 0.956 0.949 bicubic
6 tf_efficientnet_b6_ns swin_base_patch4_window12_384 97.630 97.890 2.370 2.110 99.590 99.710 0.410 0.290 43.04 87.90 528 384 0.942 1.000 bicubic
7 dm_nfnet_f4 dm_nfnet_f6 97.580 97.730 2.420 2.270 99.530 99.580 0.470 0.420 316.07 438.36 512 576 0.951 0.956 bicubic
8 dm_nfnet_f5 swin_large_patch4_window7_224 97.580 97.650 2.420 2.350 99.550 99.580 0.450 0.420 377.21 196.53 544 224 0.954 0.900 bicubic
9 ig_resnext101_32x48d tf_efficientnet_b6_ns 97.580 97.630 2.420 2.370 99.690 99.580 0.310 0.420 828.41 43.04 224 528 0.875 0.942 bilinear bicubic
10 tf_efficientnet_b5_ns ig_resnext101_32x48d 97.500 97.620 2.500 2.380 99.650 99.700 0.350 0.300 30.39 828.41 456 224 0.934 0.875 bicubic bilinear
11 resnetv2_152x4_bitm dm_nfnet_f5 97.470 97.600 2.530 2.400 99.600 99.550 0.400 0.450 936.53 377.21 480 544 1.000 0.954 bilinear bicubic
12 dm_nfnet_f3 dm_nfnet_f4 97.400 97.570 2.600 2.430 99.590 99.520 0.410 0.480 254.92 316.07 416 512 0.940 0.951 bicubic
13 ig_resnext101_32x32d tf_efficientnet_b5_ns 97.320 97.500 2.680 2.500 99.660 99.630 0.340 0.370 468.53 30.39 224 456 0.875 0.934 bilinear bicubic
14 tf_efficientnet_b8 resnetv2_152x4_bitm 97.230 97.490 2.770 2.510 99.500 99.600 0.500 0.400 87.41 936.53 672 480 0.954 1.000 bicubic bilinear
15 tf_efficientnet_b7_ap dm_nfnet_f3 97.210 97.360 2.790 2.640 99.550 99.580 0.450 0.420 66.35 254.92 600 416 0.949 0.940 bicubic
16 swsl_resnext101_32x8d ig_resnext101_32x32d 97.200 97.360 2.800 2.640 99.540 99.680 0.460 0.320 88.79 468.53 224 0.875 bilinear
17 vit_base_resnet50_384 swin_base_patch4_window7_224 97.190 97.250 2.810 2.750 99.560 99.530 0.440 0.470 98.95 87.77 384 224 1.000 0.900 bicubic
18 resnetv2_152x2_bitm swsl_resnext101_32x8d 97.160 97.200 2.840 2.800 99.580 99.570 0.420 0.430 236.34 88.79 480 224 1.000 0.875 bilinear
19 ecaresnet269d tf_efficientnet_b7_ap 97.140 97.200 2.860 2.800 99.460 99.540 0.540 0.460 102.09 66.35 352 600 1.000 0.949 bicubic
20 vit_large_patch16_384 tf_efficientnet_b8 97.130 97.200 2.870 2.800 99.640 99.500 0.360 0.500 304.72 87.41 384 672 1.000 0.954 bicubic
21 tf_efficientnet_b6_ap vit_base_r50_s16_384 97.110 97.180 2.890 2.820 99.610 99.560 0.390 0.440 43.04 98.95 528 384 0.942 1.000 bicubic
22 tf_efficientnet_b8_ap resnetv2_152x2_bitm 97.100 97.150 2.900 2.850 99.660 99.590 0.340 0.410 87.41 236.34 672 480 0.954 1.000 bicubic bilinear
23 resnetv2_101x3_bitm vit_large_patch16_384 97.040 97.110 2.960 2.890 99.520 99.640 0.480 0.360 387.93 304.72 480 384 1.000 bilinear bicubic
24 tf_efficientnet_b8_ap 97.110 2.890 99.660 0.340 87.41 672 0.954 bicubic
25 tf_efficientnet_b6_ap 97.080 2.920 99.620 0.380 43.04 528 0.942 bicubic
26 ecaresnet269d 97.080 2.920 99.470 0.530 102.09 352 1.000 bicubic
27 resnetv2_101x3_bitm 97.050 2.950 99.520 0.480 387.93 480 1.000 bilinear
28 tf_efficientnet_b7 97.010 2.990 99.520 0.480 66.35 600 0.949 bicubic
29 tf_efficientnet_b4_ns dm_nfnet_f2 96.960 3.040 99.600 99.450 0.400 0.550 19.34 193.78 380 352 0.922 0.920 bicubic
30 vit_deit_base_distilled_patch16_384 96.960 3.040 99.490 99.480 0.510 0.520 87.63 384 1.000 bicubic
31 dm_nfnet_f1 tf_efficientnet_b4_ns 96.930 96.950 3.070 3.050 99.380 99.580 0.620 0.420 132.63 19.34 320 380 0.910 0.922 bicubic
32 dm_nfnet_f2 dm_nfnet_f1 96.890 96.920 3.110 3.080 99.450 99.390 0.550 0.610 193.78 132.63 352 320 0.920 0.910 bicubic
33 ig_resnext101_32x16d 96.820 3.180 99.610 99.590 0.390 0.410 194.03 224 0.875 bilinear
34 seresnet152d 96.810 96.770 3.190 3.230 99.450 0.550 66.84 320 1.000 bicubic
35 resnetv2_50x3_bitm 96.770 3.230 99.430 0.570 217.32 480 1.000 bilinear
36 vit_base_patch16_384 resnet200d 96.740 96.720 3.260 3.280 99.480 99.330 0.520 0.670 86.86 64.69 384 320 1.000 bicubic
37 resnet200d eca_nfnet_l1 96.720 96.700 3.280 3.300 99.340 99.270 0.660 0.730 64.69 41.41 320 1.000 bicubic
38 tf_efficientnet_b6 vit_base_patch16_384 96.690 96.700 3.310 3.300 99.370 99.510 0.630 0.490 43.04 86.86 528 384 0.942 1.000 bicubic
39 tf_efficientnet_b5_ap pit_b_distilled_224 96.670 96.680 3.330 3.320 99.470 99.350 0.530 0.650 30.39 74.79 456 224 0.934 0.900 bicubic
40 swsl_resnext101_32x16d tf_efficientnet_b5_ap 96.610 96.680 3.390 3.320 99.520 99.460 0.480 0.540 194.03 30.39 224 456 0.875 0.934 bilinear bicubic
41 resnest200e tf_efficientnet_b6 96.550 96.670 3.450 3.330 99.320 99.370 0.680 0.630 70.20 43.04 320 528 0.909 0.942 bicubic
42 resnest269e resnest200e 96.550 96.610 3.450 3.390 99.350 0.650 110.93 70.20 416 320 0.928 0.909 bicubic
43 swsl_resnext101_32x4d swsl_resnext101_32x16d 96.400 96.600 3.600 3.400 99.450 99.520 0.550 0.480 44.18 194.03 224 0.875 bilinear
44 tf_efficientnet_b3_ns resnest269e 96.380 96.520 3.620 3.480 99.340 99.350 0.660 0.650 12.23 110.93 300 416 0.904 0.928 bicubic
45 tf_efficientnet_b5 swsl_resnext101_32x4d 96.350 96.420 3.650 3.580 99.320 99.470 0.680 0.530 30.39 44.18 456 224 0.934 0.875 bicubic bilinear
46 resnet152d tf_efficientnet_b3_ns 96.350 96.390 3.650 3.610 99.370 99.350 0.630 0.650 60.21 12.23 320 300 1.000 0.904 bicubic
47 resnet101d resnet152d 96.300 96.360 3.700 3.640 99.240 99.390 0.760 0.610 44.57 60.21 320 1.000 bicubic
48 ig_resnext101_32x8d regnety_160 96.270 96.350 3.730 3.650 99.410 99.330 0.590 0.670 88.79 83.59 224 288 0.875 1.000 bilinear bicubic
49 vit_deit_base_patch16_384 tf_efficientnet_b5 96.170 96.350 3.830 3.650 99.140 99.310 0.860 0.690 86.86 30.39 384 456 1.000 0.934 bicubic
50 tf_efficientnet_b4_ap ig_resnext101_32x8d 96.150 96.320 3.850 3.680 99.250 99.430 0.750 0.570 19.34 88.79 380 224 0.922 0.875 bicubic bilinear
51 resnet101d 96.290 3.710 99.230 0.770 44.57 320 1.000 bicubic
52 tf_efficientnet_b4_ap 96.160 3.840 99.280 0.720 19.34 380 0.922 bicubic
53 vit_deit_base_patch16_384 96.150 3.850 99.140 0.860 86.86 384 1.000 bicubic
54 dm_nfnet_f0 96.140 3.860 99.240 0.760 71.49 256 0.900 bicubic
55 vit_deit_base_distilled_patch16_224 96.110 96.090 3.890 3.910 99.180 99.190 0.820 0.810 87.34 224 0.900 bicubic
56 resnetv2_101x1_bitm nfnet_l0 96.090 3.910 99.310 99.260 0.690 0.740 44.54 35.07 480 288 1.000 bilinear bicubic
57 vit_large_patch16_224 resnetv2_101x1_bitm 95.940 96.090 4.060 3.910 99.220 99.300 0.780 0.700 304.33 44.54 224 480 0.900 1.000 bicubic bilinear
58 tresnet_xl_448 regnety_032 95.930 95.970 4.070 4.030 99.160 99.190 0.840 0.810 78.44 19.44 448 288 0.875 1.000 bilinear bicubic
59 resnest101e tresnet_xl_448 95.910 95.970 4.090 4.030 99.180 99.130 0.820 0.870 48.28 78.44 256 448 0.875 bilinear
60 swsl_resnext50_32x4d vit_large_patch16_224 95.900 95.950 4.100 4.050 99.250 99.240 0.750 0.760 25.03 304.33 224 0.875 0.900 bilinear bicubic
61 tf_efficientnet_b4 eca_nfnet_l0 95.870 95.930 4.130 4.070 99.140 99.210 0.860 0.790 19.34 24.14 380 288 0.922 1.000 bicubic
62 tresnet_l_448 swin_small_patch4_window7_224 95.850 95.910 4.150 4.090 99.140 99.020 0.860 0.980 55.99 49.61 448 224 0.875 0.900 bilinear bicubic
63 vit_base_patch32_384 tf_efficientnet_b4 95.820 95.900 4.180 4.100 99.150 99.170 0.850 0.830 88.30 19.34 384 380 1.000 0.922 bicubic
64 vit_large_patch32_384 swsl_resnext50_32x4d 95.810 95.870 4.190 4.130 99.150 99.250 0.850 0.750 306.63 25.03 384 224 1.000 0.875 bicubic bilinear
65 tf_efficientnet_b2_ns tresnet_l_448 95.750 95.860 4.250 4.140 99.150 99.120 0.850 0.880 9.11 55.99 260 448 0.890 0.875 bicubic bilinear
66 efficientnet_b3a resnest101e 95.720 95.860 4.280 4.140 99.050 99.210 0.950 0.790 12.23 48.28 320 256 1.000 0.875 bicubic bilinear
67 pnasnet5large vit_large_patch32_384 95.690 95.830 4.310 4.170 98.900 99.150 1.100 0.850 86.06 306.63 331 384 0.911 1.000 bicubic
68 nasnetalarge vit_base_patch32_384 95.690 95.810 4.310 4.190 98.950 99.150 1.050 0.850 88.75 88.30 331 384 0.911 1.000 bicubic
69 ssl_resnext101_32x16d 95.640 95.800 4.360 4.200 99.130 99.180 0.870 0.820 194.03 224 0.875 bilinear
70 swsl_resnet50 tf_efficientnet_b2_ns 95.550 95.770 4.450 4.230 99.260 99.120 0.740 0.880 25.56 9.11 224 260 0.875 0.890 bilinear bicubic
71 ecaresnet50t efficientnet_b3a 95.520 95.710 4.480 4.290 99.110 99.040 0.890 0.960 25.57 12.23 320 0.950 1.000 bicubic
72 ssl_resnext101_32x4d pnasnet5large 95.510 95.710 4.490 4.290 99.060 98.920 0.940 1.080 44.18 86.06 224 331 0.875 0.911 bilinear bicubic
73 ecaresnet101d nasnetalarge 95.490 95.680 4.510 4.320 99.090 98.930 0.910 1.070 44.57 88.75 224 331 0.875 0.911 bicubic
74 tresnet_xl pit_b_224 95.470 95.640 4.530 4.360 99.140 98.660 0.860 1.340 78.44 73.76 224 0.875 0.900 bilinear bicubic
75 ssl_resnext101_32x8d efficientnet_b3 95.440 95.580 4.560 4.420 99.140 99.100 0.860 0.900 88.79 12.23 224 300 0.875 0.904 bilinear bicubic
76 vit_deit_base_patch16_224 efficientnet_v2s 95.440 95.540 4.560 4.460 98.820 98.960 1.180 1.040 86.57 23.94 224 0.900 1.000 bicubic
77 efficientnet_b3 ecaresnet101d 95.420 95.530 4.580 4.470 99.100 99.130 0.900 0.870 12.23 44.57 300 224 0.904 0.875 bicubic
78 vit_base_patch16_224 ecaresnet50t 95.360 95.510 4.640 4.490 99.000 99.120 1.000 0.880 86.57 25.57 224 320 0.900 0.950 bicubic
79 tf_efficientnet_b3_ap ssl_resnext101_32x8d 95.310 95.470 4.690 4.530 98.940 99.110 1.060 0.890 12.23 88.79 300 224 0.904 0.875 bicubic bilinear
80 gernet_l ssl_resnext101_32x4d 95.190 95.440 4.810 4.560 98.870 99.130 1.130 0.870 31.08 44.18 256 224 0.875 bilinear
81 regnety_032 tresnet_xl 95.180 95.440 4.820 4.560 99.140 99.050 0.860 0.950 19.44 78.44 224 0.875 bicubic bilinear
82 tf_efficientnet_b1_ns vit_deit_base_patch16_224 95.180 95.440 4.820 4.560 99.080 98.840 0.920 1.160 7.79 86.57 240 224 0.882 0.900 bicubic
83 tresnet_l swsl_resnet50 95.180 95.410 4.820 4.590 99.010 99.290 0.990 0.710 55.99 25.56 224 0.875 bilinear
84 gluon_resnet152_v1s vit_base_patch16_224 95.110 95.330 4.890 4.670 98.930 99.000 1.070 1.000 60.32 86.57 224 0.875 0.900 bicubic
85 ecaresnet101d_pruned tf_efficientnet_b3_ap 95.080 95.320 4.920 4.680 98.960 98.900 1.040 1.100 24.88 12.23 224 300 0.875 0.904 bicubic
86 seresnext50_32x4d tresnet_l 95.080 95.290 4.920 4.710 98.910 99.010 1.090 0.990 27.56 55.99 224 0.875 bicubic bilinear
87 wide_resnet50_2 pit_s_distilled_224 95.040 95.240 4.960 4.760 98.990 99.050 1.010 0.950 68.88 24.04 224 0.875 0.900 bicubic
88 resnest50d_4s2x40d tf_efficientnet_b1_ns 95.040 95.170 4.960 4.830 99.090 99.110 0.910 0.890 30.42 7.79 224 240 0.875 0.882 bicubic
89 resnetv2_50x1_bitm swin_tiny_patch4_window7_224 95.030 95.140 4.970 4.860 99.170 98.850 0.830 1.150 25.55 28.29 480 224 1.000 0.900 bilinear bicubic
90 tf_efficientnet_b3 efficientnet_el 95.020 95.120 4.980 4.880 98.900 98.990 1.100 1.010 12.23 10.59 300 0.904 bicubic
91 rexnet_200 gernet_l 95.000 95.090 5.000 4.910 98.970 98.900 1.030 1.100 16.37 31.08 224 256 0.875 bicubic bilinear
92 tf_efficientnet_lite4 ecaresnet101d_pruned 94.980 95.080 5.020 4.920 98.990 98.980 1.010 1.020 13.01 24.88 380 224 0.920 0.875 bilinear bicubic
93 tresnet_m_448 wide_resnet50_2 94.980 95.080 5.020 4.920 98.990 98.970 1.010 1.030 31.39 68.88 448 224 0.875 bilinear bicubic
94 legacy_senet154 94.970 95.070 5.030 4.930 98.870 98.830 1.130 1.170 115.09 224 0.875 bilinear
95 gluon_senet154 resnetv2_50x1_bitm 94.950 95.050 5.050 4.950 98.740 99.160 1.260 0.840 115.09 25.55 224 480 0.875 1.000 bicubic bilinear
96 gluon_seresnext101_32x4d seresnext50_32x4d 94.940 95.040 5.060 4.960 98.730 98.880 1.270 1.120 48.96 27.56 224 0.875 bicubic
97 ssl_resnext50_32x4d tnt_s_patch16_224 94.930 95.040 5.070 4.960 98.850 98.830 1.150 1.170 25.03 23.76 224 0.875 0.900 bilinear bicubic
98 gluon_seresnext101_64x4d gluon_resnet152_v1s 94.880 95.040 5.120 4.960 98.840 98.930 1.160 1.070 88.23 60.32 224 0.875 bicubic
99 gluon_resnet101_v1s tf_efficientnet_b3 94.750 95.010 5.250 4.990 98.890 98.910 1.110 1.090 44.67 12.23 224 300 0.875 0.904 bicubic
100 vit_deit_small_distilled_patch16_224 tresnet_m_448 94.720 94.990 5.280 5.010 99.030 98.980 0.970 1.020 22.44 31.39 224 448 0.900 0.875 bicubic bilinear
101 ecaresnetlight resnest50d_4s2x40d 94.690 94.960 5.310 5.040 98.800 99.070 1.200 0.930 30.16 30.42 224 0.875 bicubic
102 gernet_m rexnet_200 94.670 94.940 5.330 5.060 98.840 99.010 1.160 0.990 21.14 16.37 224 0.875 bilinear bicubic
103 resnest50d gluon_seresnext101_64x4d 94.670 94.930 5.330 5.070 98.790 98.830 1.210 1.170 27.48 88.23 224 0.875 bilinear bicubic
104 gluon_resnet152_v1d gluon_senet154 94.660 94.920 5.340 5.080 98.780 98.760 1.220 1.240 60.21 115.09 224 0.875 bicubic
105 resnest50d_1s4x24d gluon_seresnext101_32x4d 94.660 94.920 5.340 5.080 99.000 98.810 1.000 1.190 25.68 48.96 224 0.875 bicubic
106 efficientnet_b3_pruned tf_efficientnet_lite4 94.630 94.890 5.370 5.110 98.770 99.020 1.230 0.980 9.86 13.01 300 380 0.904 0.920 bicubic bilinear
107 gluon_resnext101_32x4d ssl_resnext50_32x4d 94.630 94.870 5.370 5.130 98.630 98.880 1.370 1.120 44.18 25.03 224 0.875 bicubic bilinear
108 nf_resnet50 resnest50d 94.620 94.830 5.380 5.170 98.780 98.880 1.220 1.120 25.56 27.48 288 224 0.940 0.875 bicubic bilinear
109 efficientnet_b2a ecaresnetlight 94.620 94.770 5.380 5.230 98.730 98.800 1.270 1.200 9.11 30.16 288 224 1.000 0.875 bicubic
110 regnety_320 resnest50d_1s4x24d 94.610 94.750 5.390 5.250 98.840 98.980 1.160 1.020 145.05 25.68 224 0.875 bicubic
111 ecaresnet50d gluon_resnet152_v1d 94.610 94.740 5.390 5.260 98.870 98.740 1.130 1.260 25.58 60.21 224 0.875 bicubic
112 tresnet_m gluon_resnet101_v1s 94.600 94.720 5.400 5.280 98.560 98.820 1.440 1.180 31.39 44.67 224 0.875 bilinear bicubic
113 cspdarknet53 vit_deit_small_distilled_patch16_224 94.590 94.710 5.410 5.290 98.780 99.030 1.220 0.970 27.64 22.44 256 224 0.887 0.900 bilinear bicubic
114 efficientnet_b2 94.560 94.700 5.440 5.300 98.720 98.670 1.280 1.330 9.11 260 0.875 bicubic
115 gluon_resnext101_64x4d 94.550 94.670 5.450 5.330 98.640 98.650 1.360 1.350 83.46 224 0.875 bicubic
116 repvgg_b3 cspdarknet53 94.550 94.660 5.450 5.340 98.750 98.800 1.250 1.200 123.09 27.64 224 256 0.875 0.887 bilinear
117 seresnet50 ecaresnet50d 94.500 94.630 5.500 5.370 98.710 98.890 1.290 1.110 28.09 25.58 224 0.875 bicubic
118 repvgg_b3g4 efficientnet_b3_pruned 94.490 94.630 5.510 5.370 98.950 98.760 1.050 1.240 83.83 9.86 224 300 0.875 0.904 bilinear bicubic
119 inception_resnet_v2 tresnet_m 94.490 94.620 5.510 5.380 98.770 98.550 1.230 1.450 55.84 31.39 299 224 0.897 0.875 bicubic bilinear
120 tf_efficientnet_b2_ap gernet_m 94.460 94.620 5.540 5.380 98.640 98.860 1.360 1.140 9.11 21.14 260 224 0.890 0.875 bicubic bilinear
121 cspresnext50 efficientnet_b2a 94.440 94.610 5.560 5.390 98.720 98.710 1.280 1.290 20.57 9.11 224 288 0.875 1.000 bilinear bicubic
122 legacy_seresnext101_32x4d nf_resnet50 94.430 94.590 5.570 5.410 98.580 98.810 1.420 1.190 48.96 25.56 224 288 0.875 0.940 bilinear bicubic
123 regnety_120 pit_s_224 94.430 94.590 5.570 5.410 98.870 98.710 1.130 1.290 51.82 23.46 224 0.875 0.900 bicubic
124 ssl_resnet50 repvgg_b3 94.430 94.570 5.570 5.430 98.870 98.780 1.130 1.220 25.56 123.09 224 0.875 bilinear
125 tf_efficientnet_el seresnet50 94.420 94.550 5.580 5.450 98.750 1.250 10.59 28.09 300 224 0.904 0.875 bicubic
126 regnety_160 inception_resnet_v2 94.410 94.540 5.590 5.460 98.880 98.790 1.120 1.210 83.59 55.84 224 299 0.875 0.897 bicubic
127 tf_efficientnet_b2 regnety_320 94.400 94.540 5.600 5.460 98.610 98.850 1.390 1.150 9.11 145.05 260 224 0.890 0.875 bicubic
128 rexnet_150 gluon_resnext101_32x4d 94.400 94.530 5.600 5.470 98.820 98.630 1.180 1.370 9.73 44.18 224 0.875 bicubic
129 inception_v4 repvgg_b3g4 94.360 94.520 5.640 5.480 98.560 98.970 1.440 1.030 42.68 83.83 299 224 0.875 bicubic bilinear
130 vit_deit_small_patch16_224 tf_efficientnet_b2_ap 94.350 94.490 5.650 5.510 98.670 98.620 1.330 1.380 22.05 9.11 224 260 0.900 0.890 bicubic
131 regnetx_320 cspresnext50 94.340 94.480 5.660 5.520 98.810 98.680 1.190 1.320 107.81 20.57 224 0.875 bicubic bilinear
132 resnet50d regnety_120 94.340 94.480 5.660 5.520 98.730 98.810 1.270 1.190 25.58 51.82 224 0.875 bicubic
133 dpn107 rexnet_150 94.330 94.480 5.670 5.520 98.530 98.790 1.470 1.210 86.92 9.73 224 0.875 bicubic
134 ecaresnet26t regnetx_320 94.320 94.460 5.680 5.540 98.710 98.740 1.290 1.260 16.01 107.81 320 224 0.950 0.875 bicubic
135 gluon_seresnext50_32x4d ssl_resnet50 94.310 94.450 5.690 5.550 98.590 98.920 1.410 1.080 27.56 25.56 224 0.875 bicubic bilinear
136 ecaresnet50d_pruned tf_efficientnet_el 94.280 94.410 5.720 5.590 98.790 98.710 1.210 1.290 19.94 10.59 224 300 0.875 0.904 bicubic
137 xception71 efficientnet_el_pruned 94.280 94.400 5.720 5.600 98.620 98.740 1.380 1.260 42.34 10.59 299 300 0.903 0.904 bicubic
138 gluon_resnet101_v1d vit_deit_small_patch16_224 94.270 94.400 5.730 5.600 98.640 98.690 1.360 1.310 44.57 22.05 224 0.875 0.900 bicubic
139 gluon_xception65 inception_v4 94.250 94.380 5.750 5.620 98.590 98.580 1.410 1.420 39.92 42.68 299 0.903 0.875 bicubic
140 tf_efficientnet_lite3 legacy_seresnext101_32x4d 94.240 94.370 5.760 5.630 98.630 98.650 1.370 1.350 8.20 48.96 300 224 0.904 0.875 bilinear
141 regnety_064 tf_efficientnet_b2 94.230 94.360 5.770 5.640 98.750 98.610 1.250 1.390 30.58 9.11 224 260 0.875 0.890 bicubic
142 regnetx_160 gluon_seresnext50_32x4d 94.220 94.340 5.780 5.660 98.800 98.610 1.200 1.390 54.28 27.56 224 0.875 bicubic
143 dpn92 dpn107 94.210 94.310 5.790 5.690 98.730 98.480 1.270 1.520 37.67 86.92 224 0.875 bicubic
144 skresnext50_32x4d ecaresnet26t 94.200 94.310 5.800 5.690 98.460 98.720 1.540 1.280 27.48 16.01 224 320 0.875 0.950 bicubic
145 mixnet_xl xception71 94.190 94.280 5.810 5.720 98.350 98.640 1.650 1.360 11.90 42.34 224 299 0.875 0.903 bicubic
146 gluon_resnet152_v1c gluon_xception65 94.180 94.260 5.820 5.740 98.640 98.570 1.360 1.430 60.21 39.92 224 299 0.875 0.903 bicubic
147 regnety_080 resnet50d 94.160 94.260 5.840 5.740 98.700 98.720 1.300 1.280 39.18 25.58 224 0.875 bicubic
148 resnext50d_32x4d skresnext50_32x4d 94.160 94.260 5.840 5.740 98.540 98.460 1.460 1.540 25.05 27.48 224 0.875 bicubic
149 ens_adv_inception_resnet_v2 regnetx_120 94.160 94.240 5.840 5.760 98.630 98.650 1.370 1.350 55.84 46.11 299 224 0.897 0.875 bicubic
150 gluon_resnet152_v1b dpn92 94.160 94.230 5.840 5.770 98.520 98.730 1.480 1.270 60.19 37.67 224 0.875 bicubic
151 ese_vovnet39b gluon_resnet101_v1d 94.160 94.220 5.840 5.780 98.690 98.550 1.310 1.450 24.57 44.57 224 0.875 bicubic
152 nf_regnet_b1 ecaresnet50d_pruned 94.140 94.220 5.860 5.780 98.600 98.730 1.400 1.270 10.22 19.94 288 224 0.900 0.875 bicubic
153 regnetx_120 tf_efficientnet_lite3 94.120 94.200 5.880 5.800 98.740 98.640 1.260 1.360 46.11 8.20 224 300 0.875 0.904 bicubic bilinear
154 dpn98 mixnet_xl 94.100 94.190 5.900 5.810 98.580 98.340 1.420 1.660 61.57 11.90 224 0.875 bicubic
155 efficientnet_b2_pruned resnext50d_32x4d 94.090 94.180 5.910 5.820 98.520 98.570 1.480 1.430 8.31 25.05 260 224 0.890 0.875 bicubic
156 hrnet_w64 regnety_080 94.030 94.170 5.970 5.830 98.490 98.680 1.510 1.320 128.06 39.18 224 0.875 bilinear bicubic
157 resnext50_32x4d ens_adv_inception_resnet_v2 94.010 94.160 5.990 5.840 98.390 98.600 1.610 1.400 25.03 55.84 224 299 0.875 0.897 bicubic
158 resnetblur50 gluon_resnet152_v1c 93.980 94.160 6.020 5.840 98.520 98.640 1.480 1.360 25.56 60.21 224 0.875 bicubic
159 tf_efficientnet_cc_b1_8e regnety_064 93.960 94.150 6.040 5.850 98.240 98.730 1.760 1.270 39.72 30.58 240 224 0.882 0.875 bicubic
160 dla102x2 efficientnet_b2_pruned 93.940 94.140 6.060 5.860 98.560 98.530 1.440 1.470 41.28 8.31 224 260 0.875 0.890 bilinear bicubic
161 regnetx_064 nf_regnet_b1 93.940 94.130 6.060 5.870 98.670 98.630 1.330 1.370 26.21 10.22 224 288 0.875 0.900 bicubic
162 regnety_040 dpn98 93.930 94.130 6.070 5.870 98.690 98.570 1.310 1.430 20.65 61.57 224 0.875 bicubic
163 resnet50 regnetx_160 93.930 94.120 6.070 5.880 98.340 98.750 1.660 1.250 25.56 54.28 224 0.875 bicubic
164 repvgg_b2g4 resnext50_32x4d 93.920 94.100 6.080 5.900 98.600 98.350 1.400 1.650 61.76 25.03 224 0.875 bilinear bicubic
165 regnetx_080 ese_vovnet39b 93.900 94.090 6.100 5.910 98.540 98.660 1.460 1.340 39.57 24.57 224 0.875 bicubic
166 efficientnet_em gluon_resnet152_v1b 93.900 94.080 6.100 5.920 98.820 98.450 1.180 1.550 6.90 60.19 240 224 0.882 0.875 bicubic
167 dpn131 93.880 94.010 6.120 5.990 98.740 98.720 1.260 1.280 79.25 224 0.875 bicubic
168 wide_resnet101_2 hrnet_w64 93.880 94.010 6.120 5.990 98.570 98.610 1.430 1.390 126.89 128.06 224 0.875 bilinear
169 resnext101_32x8d resnetblur50 93.860 93.960 6.140 6.040 98.650 98.590 1.350 1.410 88.79 25.56 224 0.875 bilinear bicubic
170 rexnet_130 dla102x2 93.840 93.950 6.160 6.050 98.400 98.490 1.600 1.510 7.56 41.28 224 0.875 bicubic bilinear
171 hrnet_w48 93.830 93.920 6.170 6.080 98.630 98.610 1.370 1.390 77.47 224 0.875 bilinear
172 gluon_resnet101_v1c tf_efficientnet_cc_b1_8e 93.790 93.900 6.210 6.100 98.400 98.260 1.600 1.740 44.57 39.72 224 240 0.875 0.882 bicubic
173 gluon_resnet101_v1b rexnet_130 93.760 93.900 6.240 6.100 98.470 98.400 1.530 1.600 44.55 7.56 224 0.875 bicubic
174 xception65 regnetx_064 93.760 93.890 6.240 6.110 98.350 98.630 1.650 1.370 39.92 26.21 299 224 0.903 0.875 bicubic
175 cspresnet50 regnetx_080 93.750 93.870 6.250 6.130 98.670 98.520 1.330 1.480 21.62 39.57 256 224 0.887 0.875 bilinear bicubic
176 legacy_seresnext50_32x4d regnety_040 93.740 93.860 6.260 6.140 98.510 98.650 1.490 1.350 27.56 20.65 224 0.875 bilinear bicubic
177 gluon_resnext50_32x4d repvgg_b2g4 93.720 93.860 6.280 6.140 98.470 98.590 1.530 1.410 25.03 61.76 224 0.875 bicubic bilinear
178 gluon_resnet50_v1d efficientnet_em 93.710 93.840 6.290 6.160 98.390 98.810 1.610 1.190 25.58 6.90 224 240 0.875 0.882 bicubic
179 gluon_resnet50_v1s resnext101_32x8d 93.700 93.830 6.300 6.170 98.470 98.580 1.530 1.420 25.68 88.79 224 0.875 bicubic bilinear
180 tf_efficientnet_b1_ap gluon_resnext50_32x4d 93.700 93.810 6.300 6.190 98.370 98.410 1.630 1.590 7.79 25.03 240 224 0.882 0.875 bicubic
181 hrnet_w44 pit_xs_distilled_224 93.660 93.810 6.340 6.190 98.690 98.670 1.310 1.330 67.06 11.00 224 0.875 0.900 bilinear bicubic
182 res2net50_26w_8s resnet50 93.650 93.810 6.350 6.190 98.270 98.390 1.730 1.610 48.40 25.56 224 0.875 bilinear bicubic
183 res2net101_26w_4s gluon_resnet50_v1d 93.650 93.770 6.350 6.230 98.400 98.390 1.600 1.610 45.21 25.58 224 0.875 bilinear bicubic
184 dpn68b xception65 93.600 93.760 6.400 6.240 98.510 98.370 1.490 1.630 12.61 39.92 224 299 0.875 0.903 bicubic
185 dla102x res2net101_26w_4s 93.560 93.750 6.440 6.250 98.560 98.310 1.440 1.690 26.31 45.21 224 0.875 bilinear
186 regnetx_040 gluon_resnet101_v1b 93.550 93.750 6.450 6.250 98.460 98.380 1.540 1.620 22.12 44.55 224 0.875 bicubic
187 res2net50_26w_6s cspresnet50 93.530 93.740 6.470 6.260 98.430 98.640 1.570 1.360 37.05 21.62 224 256 0.875 0.887 bilinear
188 tf_efficientnet_b0_ns legacy_seresnext50_32x4d 93.520 93.730 6.480 6.270 98.620 98.580 1.380 1.420 5.29 27.56 224 0.875 bicubic bilinear
189 tf_efficientnet_b1 wide_resnet101_2 93.490 93.720 6.510 6.280 98.340 98.540 1.660 1.460 7.79 126.89 240 224 0.882 0.875 bicubic bilinear
190 hrnet_w32 dpn68b 93.470 93.690 6.530 6.310 98.390 98.510 1.610 1.490 41.23 12.61 224 0.875 bilinear bicubic
191 gluon_inception_v3 tf_efficientnet_b1_ap 93.460 93.690 6.540 6.310 98.600 98.360 1.400 1.640 23.83 7.79 299 240 0.875 0.882 bicubic
192 xception41 gluon_resnet101_v1c 93.460 93.670 6.540 6.330 98.410 98.420 1.590 1.580 26.97 44.57 299 224 0.903 0.875 bicubic
193 hrnet_w40 tf_efficientnet_b0_ns 93.450 93.630 6.550 6.370 98.570 98.640 1.430 1.360 57.56 5.29 224 0.875 bilinear bicubic
194 repvgg_b2 gluon_resnet50_v1s 93.440 93.620 6.560 6.380 98.700 98.460 1.300 1.540 89.02 25.68 224 0.875 bilinear bicubic
195 resnest26d regnetx_040 93.440 93.560 6.560 6.440 98.600 98.540 1.400 1.460 17.07 22.12 224 0.875 bilinear bicubic
196 mixnet_l hrnet_w44 93.440 93.550 6.560 6.450 98.270 98.700 1.730 1.300 7.33 67.06 224 0.875 bicubic bilinear
197 repvgg_b1 res2net50_26w_8s 93.410 93.540 6.590 6.460 98.530 98.260 1.470 1.740 57.42 48.40 224 0.875 bilinear
198 dla169 hrnet_w32 93.390 93.530 6.610 6.470 98.550 98.450 1.450 1.550 53.39 41.23 224 0.875 bilinear
199 xception dla102x 93.380 93.520 6.620 6.480 98.520 98.510 1.480 1.490 22.86 26.31 299 224 0.897 0.875 bicubic bilinear
200 tf_mixnet_l repvgg_b2 93.360 93.500 6.640 6.500 98.040 98.730 1.960 1.270 7.33 89.02 224 0.875 bicubic bilinear
201 legacy_seresnet152 tf_efficientnet_b1 93.330 93.500 6.670 6.500 98.380 98.360 1.620 1.640 66.82 7.79 224 240 0.875 0.882 bilinear bicubic
202 tv_resnet152 hrnet_w40 93.330 93.490 6.670 6.510 98.370 98.580 1.630 1.420 60.19 57.56 224 0.875 bilinear
203 selecsls60b gluon_inception_v3 93.300 93.460 6.700 6.540 98.310 98.570 1.690 1.430 32.77 23.83 224 299 0.875 bicubic
204 legacy_seresnet101 xception 93.280 93.460 6.720 6.540 98.470 98.530 1.530 1.470 49.33 22.86 224 299 0.875 0.897 bilinear bicubic
205 tf_inception_v3 mixnet_l 93.270 93.450 6.730 6.550 98.050 98.220 1.950 1.780 23.83 7.33 299 224 0.875 bicubic
206 efficientnet_b1 xception41 93.250 93.430 6.750 6.570 98.170 98.430 1.830 1.570 7.79 26.97 240 299 0.875 0.903 bicubic
207 regnety_016 res2net50_26w_6s 93.250 93.410 6.750 6.590 98.400 98.280 1.600 1.720 11.20 37.05 224 0.875 bicubic bilinear
208 dla60_res2net legacy_seresnet152 93.190 93.400 6.810 6.600 98.390 98.350 1.610 1.650 20.85 66.82 224 0.875 bilinear
209 dla60_res2next dla169 93.170 93.340 6.830 6.660 98.430 98.600 1.570 1.400 17.03 53.39 224 0.875 bilinear
210 dla60x repvgg_b1 93.130 93.330 6.870 6.670 98.520 98.510 1.480 1.490 17.35 57.42 224 0.875 bilinear
211 hrnet_w30 resnest26d 93.130 93.330 6.870 6.670 98.400 98.630 1.600 1.370 37.71 17.07 224 0.875 bilinear
212 dla102 tf_inception_v3 93.090 93.320 6.910 6.680 98.490 98.030 1.510 1.970 33.27 23.83 224 299 0.875 bilinear bicubic
213 rexnet_100 tf_mixnet_l 93.080 93.310 6.920 6.690 98.150 98.030 1.850 1.970 4.80 7.33 224 0.875 bicubic
214 efficientnet_es selecsls60b 93.070 93.300 6.930 6.700 98.480 98.280 1.520 1.720 5.44 32.77 224 0.875 bicubic
215 regnetx_032 tv_resnet152 93.060 93.300 6.940 6.700 98.340 98.390 1.660 1.610 15.30 60.19 224 0.875 bicubic bilinear
216 gluon_resnet50_v1c legacy_seresnet101 93.030 93.280 6.970 6.720 98.330 98.510 1.670 1.490 25.58 49.33 224 0.875 bicubic bilinear
217 legacy_seresnet50 efficientnet_b1 93.010 93.260 6.990 6.740 98.180 98.170 1.820 1.830 28.09 7.79 224 240 0.875 bilinear bicubic
218 selecsls60 hrnet_w30 92.960 93.200 7.040 6.800 98.220 98.410 1.780 1.590 30.67 37.71 224 0.875 bicubic bilinear
219 tf_efficientnet_em dla60_res2net 92.940 93.180 7.060 6.820 98.190 98.420 1.810 1.580 6.90 20.85 240 224 0.882 0.875 bicubic bilinear
220 adv_inception_v3 dla60_res2next 92.890 93.180 7.110 6.820 98.170 98.410 1.830 1.590 23.83 17.03 299 224 0.875 bicubic bilinear
221 res2next50 efficientnet_es 92.890 93.140 7.110 6.860 98.190 98.420 1.810 1.580 24.67 5.44 224 0.875 bilinear bicubic
222 repvgg_b1g4 dla60x 92.820 93.120 7.180 6.880 98.380 98.510 1.620 1.490 39.97 17.35 224 0.875 bilinear
223 tf_efficientnet_cc_b0_8e regnetx_032 92.820 93.120 7.180 6.880 98.260 98.390 1.740 1.610 24.01 15.30 224 0.875 bicubic
224 tv_resnet101 pit_xs_224 92.810 93.110 7.190 6.890 98.260 98.310 1.740 1.690 44.55 10.62 224 0.875 0.900 bilinear bicubic
225 res2net50_14w_8s dla102 92.800 93.060 7.200 6.940 98.170 98.540 1.830 1.460 25.06 33.27 224 0.875 bilinear
226 resnet34d rexnet_100 92.770 93.030 7.230 6.970 98.260 98.190 1.740 1.810 21.82 4.80 224 0.875 bicubic
227 tv_resnext50_32x4d selecsls60 92.770 93.030 7.230 6.970 98.200 98.300 1.800 1.700 25.03 30.67 224 0.875 bilinear bicubic
228 efficientnet_b1_pruned regnety_016 92.760 93.030 7.240 6.970 98.040 98.360 1.960 1.640 6.33 11.20 240 224 0.882 0.875 bicubic
229 vit_small_patch16_224 gluon_resnet50_v1c 92.730 93.030 7.270 6.970 97.920 98.390 2.080 1.610 48.75 25.58 224 0.900 0.875 bicubic
230 inception_v3 repvgg_b1g4 92.710 92.980 7.290 7.020 97.960 98.430 2.040 1.570 23.83 39.97 299 224 0.875 bicubic bilinear
231 seresnext26t_32x4d legacy_seresnet50 92.700 92.960 7.300 7.040 98.380 98.190 1.620 1.810 16.81 28.09 224 0.875 bicubic bilinear
232 tf_efficientnet_lite2 hardcorenas_f 92.690 92.950 7.310 7.050 98.220 98.160 1.780 1.840 6.09 8.20 260 224 0.890 0.875 bicubic bilinear
233 densenet161 tf_efficientnet_em 92.680 92.930 7.320 7.070 98.350 98.190 1.650 1.810 28.68 6.90 224 240 0.875 0.882 bicubic
234 seresnext26d_32x4d adv_inception_v3 92.680 92.880 7.320 7.120 98.130 98.140 1.870 1.860 16.81 23.83 224 299 0.875 bicubic
235 densenet201 res2next50 92.670 92.840 7.330 7.160 98.260 98.180 1.740 1.820 20.01 24.67 224 0.875 bicubic bilinear
236 gluon_resnet50_v1b tf_efficientnet_cc_b0_8e 92.620 92.830 7.380 7.170 98.170 98.180 1.830 1.820 25.56 24.01 224 0.875 bicubic
237 tf_efficientnet_lite1 seresnext26t_32x4d 92.600 92.820 7.400 7.180 98.050 98.370 1.950 1.630 5.42 16.81 240 224 0.882 0.875 bicubic
238 res2net50_48w_2s tv_resnet101 92.580 92.810 7.420 7.190 98.070 98.250 1.930 1.750 25.29 44.55 224 0.875 bilinear
239 tf_efficientnet_cc_b0_4e efficientnet_b1_pruned 92.560 92.770 7.440 7.230 98.140 98.040 1.860 1.960 13.31 6.33 224 240 0.875 0.882 bicubic
240 efficientnet_b0 vit_small_patch16_224 92.550 92.760 7.450 7.240 98.080 97.930 1.920 2.070 5.29 48.75 224 0.875 0.900 bicubic
241 legacy_seresnext26_32x4d densenet201 92.520 92.750 7.480 7.250 98.150 98.230 1.850 1.770 16.79 20.01 224 0.875 bicubic
242 res2net50_26w_4s res2net50_14w_8s 92.480 92.740 7.520 7.260 98.140 98.180 1.860 1.820 25.70 25.06 224 0.875 bilinear
243 mobilenetv2_120d tv_resnext50_32x4d 92.470 92.740 7.530 7.260 98.000 98.270 2.000 1.730 5.83 25.03 224 0.875 bicubic bilinear
244 mixnet_m inception_v3 92.450 92.720 7.550 7.280 97.870 97.970 2.130 2.030 5.01 23.83 224 299 0.875 bicubic
245 skresnet34 seresnext26d_32x4d 92.410 92.700 7.590 7.300 98.220 98.150 1.780 1.850 22.28 16.81 224 0.875 bicubic
246 tf_mixnet_m efficientnet_b0 92.380 92.690 7.620 7.310 97.910 98.070 2.090 1.930 5.01 5.29 224 0.875 bicubic
247 hrnet_w18 resnet34d 92.320 92.680 7.680 7.320 98.310 1.690 21.30 21.82 224 0.875 bilinear bicubic
248 ese_vovnet19b_dw tf_efficientnet_lite2 92.300 92.650 7.700 7.350 98.080 98.230 1.920 1.770 6.54 6.09 224 260 0.875 0.890 bicubic
249 tf_efficientnet_b0 legacy_seresnext26_32x4d 92.260 92.640 7.740 7.360 97.900 98.130 2.100 1.870 5.29 16.79 224 0.875 bicubic
250 selecsls42b tf_efficientnet_lite1 92.240 92.620 7.760 7.380 98.200 98.080 1.800 1.920 32.46 5.42 224 240 0.875 0.882 bicubic
251 tf_efficientnet_b0_ap tf_efficientnet_cc_b0_4e 92.180 92.590 7.820 7.410 98.050 98.080 1.950 1.920 5.29 13.31 224 0.875 bicubic
252 dla60 hardcorenas_e 92.140 92.570 7.860 7.430 98.060 98.110 1.940 1.890 22.04 8.07 224 0.875 bilinear
253 regnetx_016 res2net50_48w_2s 92.140 92.550 7.860 7.450 98.280 98.080 1.720 1.920 9.19 25.29 224 0.875 bicubic bilinear
254 repvgg_a2 gluon_resnet50_v1b 92.120 92.540 7.880 7.460 98.200 98.170 1.800 1.830 28.21 25.56 224 0.875 bilinear bicubic
255 densenet169 densenet161 92.080 92.500 7.920 7.500 98.170 98.290 1.830 1.710 14.15 28.68 224 0.875 bicubic
256 resnet26d res2net50_26w_4s 92.080 92.500 7.920 7.500 98.000 98.060 2.000 1.940 16.01 25.70 224 0.875 bicubic bilinear
257 dpn68 mixnet_m 92.060 92.430 7.940 7.570 98.060 97.870 1.940 2.130 12.61 5.01 224 0.875 bicubic
258 tf_efficientnet_es mobilenetv2_120d 92.000 92.400 8.000 7.600 97.890 98.050 2.110 1.950 5.44 5.83 224 0.875 bicubic
259 gernet_s hardcorenas_d 91.960 92.400 8.040 7.600 98.210 98.070 1.790 1.930 8.17 7.50 224 0.875 bilinear
260 tv_resnet50 skresnet34 91.910 92.390 8.090 7.610 98.060 98.150 1.940 1.850 25.56 22.28 224 0.875 bilinear bicubic
261 mobilenetv2_140 tf_mixnet_m 91.860 92.330 8.140 7.670 97.870 97.890 2.130 2.110 6.11 5.01 224 0.875 bicubic
262 regnety_008 hrnet_w18 91.860 92.320 8.140 7.680 98.190 98.240 1.810 1.760 6.26 21.30 224 0.875 bicubic bilinear
263 ese_vovnet19b_dw 92.290 7.710 98.090 1.910 6.54 224 0.875 bicubic
264 selecsls42b 92.280 7.720 98.150 1.850 32.46 224 0.875 bicubic
265 tf_efficientnet_b0 92.250 7.750 98.000 2.000 5.29 224 0.875 bicubic
266 dla60 92.230 7.770 98.110 1.890 22.04 224 0.875 bilinear
267 tf_efficientnet_b0_ap 92.200 7.800 98.020 1.980 5.29 224 0.875 bicubic
268 regnetx_016 92.170 7.830 98.210 1.790 9.19 224 0.875 bicubic
269 gernet_s 92.140 7.860 98.190 1.810 8.17 224 0.875 bilinear
270 resnet26d 92.070 7.930 97.960 2.040 16.01 224 0.875 bicubic
271 hardcorenas_c 92.020 7.980 97.840 2.160 5.52 224 0.875 bilinear
272 dpn68 92.010 7.990 98.050 1.950 12.61 224 0.875 bicubic
273 tf_efficientnet_es 91.980 8.020 97.860 2.140 5.44 224 0.875 bicubic
274 repvgg_a2 91.940 8.060 98.150 1.850 28.21 224 0.875 bilinear
275 densenet169 91.930 8.070 98.100 1.900 14.15 224 0.875 bicubic
276 densenetblur121d 91.910 8.090 98.070 1.930 8.00 224 0.875 bicubic
277 tv_resnet50 91.880 8.120 98.040 1.960 25.56 224 0.875 bilinear
278 mixnet_s 91.830 8.170 97.690 2.310 4.13 224 0.875 bicubic
279 densenetblur121d mobilenetv2_140 91.750 91.830 8.250 8.170 98.100 97.860 1.900 2.140 8.00 6.11 224 0.875 bicubic
280 densenet121 hardcorenas_b 91.700 91.770 8.300 8.230 98.010 97.780 1.990 2.220 7.98 5.18 224 0.875 bicubic bilinear
281 resnest14d regnety_008 91.530 91.750 8.470 8.250 97.950 98.180 2.050 1.820 10.61 6.26 224 0.875 bilinear bicubic
282 repvgg_b0 resnest14d 91.420 91.720 8.580 8.280 97.920 97.870 2.080 2.130 15.82 10.61 224 0.875 bilinear
283 tf_mixnet_s densenet121 91.420 91.570 8.580 8.430 97.610 98.030 2.390 1.970 4.13 7.98 224 0.875 bicubic
284 hrnet_w18_small_v2 tf_mixnet_s 91.340 91.510 8.660 8.490 97.950 97.620 2.050 2.380 15.60 4.13 224 0.875 bilinear bicubic
285 regnety_006 repvgg_b0 91.280 91.430 8.720 8.570 97.810 97.990 2.190 2.010 6.06 15.82 224 0.875 bicubic bilinear
286 semnasnet_100 regnety_006 91.260 91.370 8.740 8.630 97.560 97.710 2.440 2.290 3.89 6.06 224 0.875 bicubic
287 mobilenetv3_rw hardcorenas_a 91.200 91.350 8.800 8.650 97.650 97.860 2.350 2.140 5.48 5.26 224 0.875 bicubic bilinear
288 resnet34 mobilenetv3_large_100 91.180 91.320 8.820 8.680 97.550 97.710 2.450 2.290 21.80 5.48 224 0.875 bilinear bicubic
289 resnet26 semnasnet_100 91.180 91.280 8.820 8.720 97.800 97.560 2.200 2.440 16.00 3.89 224 0.875 bicubic
290 regnetx_008 tf_mobilenetv3_large_100 91.180 91.240 8.820 8.760 97.730 97.660 2.270 2.340 7.26 5.48 224 0.875 bicubic bilinear
291 mobilenetv3_large_100 mobilenetv3_rw 91.120 91.210 8.880 8.790 97.700 97.660 2.300 2.340 5.48 224 0.875 bicubic
292 tf_mobilenetv3_large_100 hrnet_w18_small_v2 91.110 91.190 8.890 8.810 97.670 97.900 2.330 2.100 5.48 15.60 224 0.875 bilinear
293 efficientnet_lite0 efficientnet_es_pruned 91.070 91.180 8.930 8.820 97.660 97.750 2.340 2.250 4.65 5.44 224 0.875 bicubic
294 tf_efficientnet_lite0 efficientnet_lite0 91.020 91.140 8.980 8.860 97.420 97.630 2.580 2.370 4.65 224 0.875 bicubic
295 tv_densenet121 resnet34 90.980 91.130 9.020 8.870 97.740 97.620 2.260 2.380 7.98 21.80 224 0.875 bicubic bilinear
296 gluon_resnet34_v1b resnet26 90.970 91.110 9.030 8.890 97.640 97.740 2.360 2.260 21.80 16.00 224 0.875 bicubic
297 legacy_seresnet34 regnetx_008 90.970 91.050 9.030 8.950 97.610 97.710 2.390 2.290 21.96 7.26 224 0.875 bilinear bicubic
298 mobilenetv2_110d tf_efficientnet_lite0 90.860 91.040 9.140 8.960 97.610 97.590 2.390 2.410 4.52 4.65 224 0.875 bicubic
299 fbnetc_100 gluon_resnet34_v1b 90.850 90.960 9.150 9.040 97.240 97.630 2.760 2.370 5.57 21.80 224 0.875 bilinear bicubic
300 dla34 mobilenetv2_110d 90.790 90.950 9.210 9.050 97.590 97.550 2.410 2.450 15.74 4.52 224 0.875 bilinear bicubic
301 swsl_resnet18 pit_ti_distilled_224 90.770 90.900 9.230 9.100 97.770 97.700 2.230 2.300 11.69 5.10 224 0.875 0.900 bilinear bicubic
302 vit_deit_tiny_distilled_patch16_224 legacy_seresnet34 90.670 90.890 9.330 9.110 97.560 97.580 2.440 2.420 5.91 21.96 224 0.900 0.875 bicubic bilinear
303 regnety_004 tv_densenet121 90.480 90.890 9.520 9.110 97.510 97.710 2.490 2.290 4.34 7.98 224 0.875 bicubic
304 mnasnet_100 dla34 90.460 90.760 9.540 9.240 97.490 97.660 2.510 2.340 4.38 15.74 224 0.875 bicubic bilinear
305 regnetx_006 fbnetc_100 90.380 90.700 9.620 9.300 97.320 97.210 2.680 2.790 6.20 5.57 224 0.875 bicubic bilinear
306 spnasnet_100 vit_deit_tiny_distilled_patch16_224 90.370 90.700 9.630 9.300 97.160 97.570 2.840 2.430 4.42 5.91 224 0.875 0.900 bilinear bicubic
307 ssl_resnet18 swsl_resnet18 90.250 90.690 9.750 9.310 97.620 97.700 2.380 2.300 11.69 224 0.875 bilinear
308 vgg19_bn mnasnet_100 90.090 90.510 9.910 9.490 97.610 97.470 2.390 2.530 143.68 4.38 224 0.875 bilinear bicubic
309 vgg16_bn regnety_004 90.040 90.500 9.960 9.500 97.360 97.540 2.640 2.460 138.37 4.34 224 0.875 bilinear bicubic
310 tv_resnet34 regnetx_006 89.970 90.350 10.030 9.650 97.390 97.430 2.610 2.570 21.80 6.20 224 0.875 bilinear bicubic
311 skresnet18 spnasnet_100 89.760 90.350 10.240 9.650 97.320 97.190 2.680 2.810 11.96 4.42 224 0.875 bicubic bilinear
312 tf_mobilenetv3_large_075 ssl_resnet18 89.660 90.220 10.340 9.780 97.280 97.550 2.720 2.450 3.99 11.69 224 0.875 bilinear
313 vit_deit_tiny_patch16_224 vgg16_bn 89.650 90.090 10.350 9.910 97.440 97.370 2.560 2.630 5.72 138.37 224 0.900 0.875 bicubic bilinear
314 mobilenetv2_100 vgg19_bn 89.460 90.080 10.540 9.920 97.200 97.580 2.800 2.420 3.50 143.68 224 0.875 bicubic bilinear
315 resnet18d pit_ti_224 89.150 89.940 10.850 10.060 97.220 97.450 2.780 2.550 11.71 4.85 224 0.875 0.900 bicubic
316 vgg19 tv_resnet34 89.120 89.940 10.880 10.060 96.900 97.340 3.100 2.660 143.67 21.80 224 0.875 bilinear
317 regnetx_004 tf_mobilenetv3_large_075 89.030 89.680 10.970 10.320 97.090 97.210 2.910 2.790 5.16 3.99 224 0.875 bicubic bilinear
318 tf_mobilenetv3_large_minimal_100 vit_deit_tiny_patch16_224 88.940 89.670 11.060 10.330 96.810 97.450 3.190 2.550 3.92 5.72 224 0.875 0.900 bilinear bicubic
319 legacy_seresnet18 skresnet18 88.910 89.660 11.090 10.340 96.990 97.230 3.010 2.770 11.78 11.96 224 0.875 bicubic
320 vgg13_bn mobilenetv2_100 88.840 89.600 11.160 10.400 96.980 97.140 3.020 2.860 133.05 3.50 224 0.875 bilinear bicubic
321 hrnet_w18_small resnet18d 88.810 89.280 11.190 10.720 96.990 97.150 3.010 2.850 13.19 11.71 224 0.875 bilinear bicubic
322 vgg16 hrnet_w18_small 88.640 89.050 11.360 10.950 96.780 97.110 3.220 2.890 138.36 13.19 224 0.875 bilinear
323 gluon_resnet18_v1b vgg19 88.280 89.040 11.720 10.960 96.640 96.870 3.360 3.130 11.69 143.67 224 0.875 bicubic bilinear
324 vgg11_bn tf_mobilenetv3_large_minimal_100 87.560 88.970 12.440 11.030 96.800 96.860 3.200 3.140 132.87 3.92 224 0.875 bilinear
325 regnety_002 regnetx_004 87.400 88.900 12.600 11.100 96.670 97.120 3.330 2.880 3.16 5.16 224 0.875 bicubic
326 resnet18 legacy_seresnet18 87.400 88.880 12.600 11.120 96.280 96.980 3.720 3.020 11.69 11.78 224 0.875 bilinear bicubic
327 vgg13 vgg13_bn 87.060 88.760 12.940 11.240 96.240 96.970 3.760 3.030 133.05 224 0.875 bilinear
328 vgg11 vgg16 86.560 88.550 13.440 11.450 96.220 96.790 3.780 3.210 132.86 138.36 224 0.875 bilinear
329 dla60x_c gluon_resnet18_v1b 86.260 88.400 13.740 11.600 96.100 96.680 3.900 3.320 1.32 11.69 224 0.875 bilinear bicubic
330 regnetx_002 vgg11_bn 86.150 87.500 13.850 12.500 96.020 96.820 3.980 3.180 2.68 132.87 224 0.875 bicubic bilinear
331 tf_mobilenetv3_small_100 resnet18 85.350 87.390 14.650 12.610 95.640 96.290 4.360 3.710 2.54 11.69 224 0.875 bilinear
332 dla46x_c regnety_002 84.430 87.380 15.570 12.620 95.340 96.590 4.660 3.410 1.07 3.16 224 0.875 bilinear bicubic
333 dla46_c vgg13 83.560 87.050 16.440 12.950 94.890 96.320 5.110 3.680 1.30 133.05 224 0.875 bilinear
334 tf_mobilenetv3_small_075 vgg11 83.470 86.550 16.530 13.450 94.700 96.280 5.300 3.720 2.04 132.86 224 0.875 bilinear
335 tf_mobilenetv3_small_minimal_100 dla60x_c 81.550 86.290 18.450 13.710 93.710 96.160 6.290 3.840 2.04 1.32 224 0.875 bilinear
336 regnetx_002 86.190 13.810 95.980 4.020 2.68 224 0.875 bicubic
337 tf_mobilenetv3_small_100 85.190 14.810 95.770 4.230 2.54 224 0.875 bilinear
338 dla46x_c 84.250 15.750 95.270 4.730 1.07 224 0.875 bilinear
339 dla46_c 83.650 16.350 94.920 5.080 1.30 224 0.875 bilinear
340 tf_mobilenetv3_small_075 83.520 16.480 94.790 5.210 2.04 224 0.875 bilinear
341 tf_mobilenetv3_small_minimal_100 81.380 18.620 93.670 6.330 2.04 224 0.875 bilinear

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model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation,top1_diff,top5_diff,rank_diff model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation,top1_diff,top5_diff,rank_diff
tf_efficientnet_l2_ns,84.733,15.267,96.107,3.893,480.31,800,0.960,bicubic,-13.797,-3.713,0 tf_efficientnet_l2_ns,84.760,15.240,96.147,3.853,480.31,800,0.960,bicubic,-13.790,-3.673,0
tf_efficientnet_l2_ns_475,83.520,16.480,95.453,4.547,480.31,475,0.936,bicubic,-15.010,-4.387,0 tf_efficientnet_l2_ns_475,83.373,16.627,95.453,4.547,480.31,475,0.936,bicubic,-15.127,-4.377,0
tf_efficientnet_b7_ns,67.093,32.907,88.640,11.360,66.35,600,0.949,bicubic,-30.827,-11.080,0 swin_large_patch4_window12_384,69.627,30.373,89.560,10.440,196.74,384,1.000,bicubic,-28.413,-10.130,0
tf_efficientnet_b6_ns,62.293,37.707,85.160,14.840,43.04,528,0.942,bicubic,-35.337,-14.430,+1 tf_efficientnet_b7_ns,67.040,32.960,88.667,11.333,66.35,600,0.949,bicubic,-30.870,-11.053,0
dm_nfnet_f6,62.253,37.747,84.653,15.347,438.36,576,0.956,bicubic,-35.487,-14.927,-1 swin_base_patch4_window12_384,64.480,35.520,87.493,12.507,87.90,384,1.000,bicubic,-33.410,-12.217,0
dm_nfnet_f5,61.653,38.347,84.027,15.973,377.21,544,0.954,bicubic,-35.927,-15.523,+1 tf_efficientnet_b6_ns,62.267,37.733,85.173,14.827,43.04,528,0.942,bicubic,-35.363,-14.407,+2
ig_resnext101_32x48d,60.853,39.147,83.240,16.760,828.41,224,0.875,bilinear,-36.727,-16.450,+1 dm_nfnet_f6,62.253,37.747,84.667,15.333,438.36,576,0.956,bicubic,-35.477,-14.913,-1
resnetv2_152x4_bitm,60.640,39.360,83.533,16.467,936.53,480,1.000,bilinear,-36.830,-16.067,+2 dm_nfnet_f5,61.587,38.413,84.027,15.973,377.21,544,0.954,bicubic,-36.013,-15.523,+2
dm_nfnet_f4,60.600,39.400,83.453,16.547,316.07,512,0.951,bicubic,-36.980,-16.077,-3 ig_resnext101_32x48d,61.013,38.987,83.347,16.653,828.41,224,0.875,bilinear,-36.607,-16.353,0
tf_efficientnet_b5_ns,60.280,39.720,84.533,15.467,30.39,456,0.934,bicubic,-37.220,-15.117,-1 swin_large_patch4_window7_224,60.893,39.107,85.840,14.160,196.53,224,0.900,bicubic,-36.757,-13.740,-3
dm_nfnet_f3,58.213,41.787,82.373,17.627,254.92,416,0.940,bicubic,-39.187,-17.217,0 resnetv2_152x4_bitm,60.733,39.267,83.600,16.400,936.53,480,1.000,bilinear,-36.757,-16.000,+2
ig_resnext101_32x32d,57.960,42.040,80.920,19.080,468.53,224,0.875,bilinear,-39.360,-18.740,0 dm_nfnet_f4,60.720,39.280,83.427,16.573,316.07,512,0.951,bicubic,-36.850,-16.093,-1
resnetv2_152x2_bitm,54.867,45.133,82.800,17.200,236.34,480,1.000,bilinear,-42.293,-16.780,+4 tf_efficientnet_b5_ns,60.320,39.680,84.493,15.507,30.39,456,0.934,bicubic,-37.180,-15.137,-1
vit_base_resnet50_384,54.627,45.373,81.307,18.693,98.95,384,1.000,bicubic,-42.563,-18.253,+2 dm_nfnet_f3,58.373,41.627,82.360,17.640,254.92,416,0.940,bicubic,-38.987,-17.220,0
resnetv2_101x3_bitm,53.813,46.187,81.107,18.893,387.93,480,1.000,bilinear,-43.227,-18.413,+7 ig_resnext101_32x32d,58.093,41.907,80.653,19.347,468.53,224,0.875,bilinear,-39.267,-19.027,0
vit_large_patch16_384,53.760,46.240,80.347,19.653,304.72,384,1.000,bicubic,-43.370,-19.293,+3 resnetv2_152x2_bitm,54.973,45.027,82.813,17.187,236.34,480,1.000,bilinear,-42.177,-16.777,+5
ig_resnext101_32x16d,53.520,46.480,77.347,22.653,194.03,224,0.875,bilinear,-43.300,-22.263,+11 vit_base_r50_s16_384,54.627,45.373,81.213,18.787,98.95,384,1.000,bicubic,-42.553,-18.347,+3
swsl_resnext101_32x8d,51.373,48.627,78.347,21.653,88.79,224,0.875,bilinear,-45.827,-21.193,-3 vit_large_patch16_384,53.867,46.133,80.320,19.680,304.72,384,1.000,bicubic,-43.243,-19.340,+4
tf_efficientnet_b4_ns,51.067,48.933,79.360,20.640,19.34,380,0.922,bicubic,-45.893,-20.240,+5 resnetv2_101x3_bitm,53.813,46.187,81.093,18.907,387.93,480,1.000,bilinear,-43.237,-18.427,+7
dm_nfnet_f2,50.680,49.320,78.000,22.000,193.78,352,0.920,bicubic,-46.210,-21.450,+7 ig_resnext101_32x16d,53.067,46.933,76.907,23.093,194.03,224,0.875,bilinear,-43.753,-22.683,+12
vit_base_patch16_384,50.533,49.467,78.240,21.760,86.86,384,1.000,bicubic,-46.207,-21.240,+10 swin_base_patch4_window7_224,51.453,48.547,79.973,20.027,87.77,224,0.900,bicubic,-45.797,-19.557,-5
vit_deit_base_distilled_patch16_384,49.280,50.720,79.240,20.760,87.63,384,1.000,bicubic,-47.680,-20.250,+3 tf_efficientnet_b4_ns,51.213,48.787,79.187,20.813,19.34,380,0.922,bicubic,-45.737,-20.393,+8
tf_efficientnet_b8,48.853,51.147,77.213,22.787,87.41,672,0.954,bicubic,-48.377,-22.287,-10 swsl_resnext101_32x8d,51.187,48.813,78.240,21.760,88.79,224,0.875,bilinear,-46.013,-21.330,-6
resnest269e,47.987,52.013,74.480,25.520,110.93,416,0.928,bicubic,-48.563,-24.870,+13 dm_nfnet_f2,50.773,49.227,78.013,21.987,193.78,352,0.920,bicubic,-46.187,-21.437,+4
resnetv2_50x3_bitm,47.880,52.120,77.573,22.427,217.32,480,1.000,bilinear,-48.890,-21.857,+5 vit_base_patch16_384,50.613,49.387,78.200,21.800,86.86,384,1.000,bicubic,-46.087,-21.310,+12
tf_efficientnet_b8_ap,46.880,53.120,76.560,23.440,87.41,672,0.954,bicubic,-50.220,-23.100,-5 vit_deit_base_distilled_patch16_384,49.333,50.667,79.253,20.747,87.63,384,1.000,bicubic,-47.627,-20.227,+3
dm_nfnet_f1,46.707,53.293,74.840,25.160,132.63,320,0.910,bicubic,-50.223,-24.540,-1 tf_efficientnet_b8,48.947,51.053,77.240,22.760,87.41,672,0.954,bicubic,-48.253,-22.260,-8
swsl_resnext101_32x16d,46.147,53.853,72.013,27.987,194.03,224,0.875,bilinear,-50.463,-27.507,+7 resnest269e,48.187,51.813,74.333,25.667,110.93,416,0.928,bicubic,-48.333,-25.017,+15
ecaresnet269d,45.920,54.080,75.253,24.747,102.09,352,1.000,bicubic,-51.220,-24.207,-11 resnetv2_50x3_bitm,47.787,52.213,77.627,22.373,217.32,480,1.000,bilinear,-48.983,-21.823,+5
tf_efficientnet_b7_ap,45.347,54.653,74.187,25.813,66.35,600,0.949,bicubic,-51.863,-25.363,-16 tf_efficientnet_b8_ap,46.893,53.107,76.507,23.493,87.41,672,0.954,bicubic,-50.217,-23.133,-7
ig_resnext101_32x8d,45.173,54.827,71.240,28.760,88.79,224,0.875,bilinear,-51.097,-28.170,+12 dm_nfnet_f1,46.600,53.400,74.773,25.227,132.63,320,0.910,bicubic,-50.320,-24.617,0
resnest200e,44.107,55.893,73.693,26.307,70.20,320,0.909,bicubic,-52.443,-25.627,+4 swsl_resnext101_32x16d,46.200,53.800,72.200,27.800,194.03,224,0.875,bilinear,-50.400,-27.320,+10
tresnet_xl_448,43.533,56.467,72.427,27.573,78.44,448,0.875,bilinear,-52.397,-26.733,+17 ecaresnet269d,45.893,54.107,75.133,24.867,102.09,352,1.000,bicubic,-51.187,-24.487,-8
tf_efficientnet_b7,43.013,56.987,73.200,26.800,66.35,600,0.949,bicubic,-53.997,-26.320,-11 tf_efficientnet_b7_ap,45.373,54.627,74.213,25.787,66.35,600,0.949,bicubic,-51.827,-25.327,-16
swsl_resnext101_32x4d,41.347,58.653,71.480,28.520,44.18,224,0.875,bilinear,-55.053,-27.970,+3 ig_resnext101_32x8d,45.320,54.680,70.867,29.133,88.79,224,0.875,bilinear,-51.000,-28.563,+14
tf_efficientnet_b6_ap,40.840,59.160,71.653,28.347,43.04,528,0.942,bicubic,-56.270,-27.957,-16 resnest200e,44.147,55.853,73.467,26.533,70.20,320,0.909,bicubic,-52.463,-25.883,+5
vit_deit_base_patch16_384,40.187,59.813,70.787,29.213,86.86,384,1.000,bicubic,-55.983,-28.353,+7 tresnet_xl_448,43.480,56.520,72.453,27.547,78.44,448,0.875,bilinear,-52.490,-26.677,+21
tresnet_l_448,40.160,59.840,69.987,30.013,55.99,448,0.875,bilinear,-55.690,-29.153,+16 tf_efficientnet_b7,42.960,57.040,73.133,26.867,66.35,600,0.949,bicubic,-54.050,-26.387,-11
resnetv2_101x1_bitm,39.360,60.640,71.480,28.520,44.54,480,1.000,bilinear,-56.730,-27.830,+9 swsl_resnext101_32x4d,41.560,58.440,71.760,28.240,44.18,224,0.875,bilinear,-54.860,-27.710,+5
vit_large_patch32_384,38.867,61.133,68.813,31.187,306.63,384,1.000,bicubic,-56.943,-30.337,+16 tf_efficientnet_b6_ap,40.800,59.200,71.627,28.373,43.04,528,0.942,bicubic,-56.280,-27.843,-16
resnet200d,38.267,61.733,68.573,31.427,64.69,320,1.000,bicubic,-58.453,-30.767,-9 tresnet_l_448,40.200,59.800,69.893,30.107,55.99,448,0.875,bilinear,-55.660,-29.317,+23
seresnet152d,37.587,62.413,69.573,30.427,66.84,320,1.000,bicubic,-59.223,-29.877,-13 vit_deit_base_patch16_384,40.173,59.827,70.760,29.240,86.86,384,1.000,bicubic,-55.977,-28.380,+10
tf_efficientnet_b3_ns,35.653,64.347,67.853,32.147,12.23,300,0.904,bicubic,-60.727,-31.487,-4 resnetv2_101x1_bitm,39.307,60.693,71.493,28.507,44.54,480,1.000,bilinear,-56.783,-27.697,+13
vit_large_patch16_224,35.600,64.400,64.333,35.667,304.33,224,0.900,bicubic,-60.340,-34.887,+5 vit_large_patch32_384,38.933,61.067,68.920,31.080,306.63,384,1.000,bicubic,-56.897,-30.230,+22
tf_efficientnet_b6,35.253,64.747,67.773,32.227,43.04,528,0.942,bicubic,-61.437,-31.597,-12 resnet200d,38.147,61.853,68.613,31.387,64.69,320,1.000,bicubic,-58.573,-30.717,-10
tf_efficientnet_b5_ap,34.800,65.200,67.467,32.533,30.39,456,0.934,bicubic,-61.870,-32.003,-12 eca_nfnet_l1,38.107,61.893,71.293,28.707,41.41,320,1.000,bicubic,-58.593,-27.977,-10
resnet152d,34.320,65.680,65.960,34.040,60.21,320,1.000,bicubic,-62.030,-33.360,-6 seresnet152d,37.640,62.360,69.480,30.520,66.84,320,1.000,bicubic,-59.130,-29.950,-14
tresnet_m_448,34.000,66.000,64.507,35.493,31.39,448,0.875,bilinear,-60.980,-34.483,+37 regnety_160,36.747,63.253,69.107,30.893,83.59,288,1.000,bicubic,-59.603,-30.223,-1
vit_base_patch32_384,33.640,66.360,65.173,34.827,88.30,384,1.000,bicubic,-62.180,-33.977,+6 pit_b_distilled_224,35.627,64.373,69.120,30.880,74.79,224,0.900,bicubic,-61.053,-30.230,-11
swsl_resnext50_32x4d,33.467,66.533,65.227,34.773,25.03,224,0.875,bilinear,-62.433,-34.023,+2 tf_efficientnet_b3_ns,35.520,64.480,67.773,32.227,12.23,300,0.904,bicubic,-60.870,-31.577,-5
ssl_resnext101_32x16d,32.320,67.680,63.720,36.280,194.03,224,0.875,bilinear,-63.320,-35.410,+10 vit_large_patch16_224,35.493,64.507,64.427,35.573,304.33,224,0.900,bicubic,-60.457,-34.813,+8
vit_base_patch16_224,32.187,67.813,61.627,38.373,86.57,224,0.900,bicubic,-63.173,-37.373,+18 tf_efficientnet_b6,35.213,64.787,67.720,32.280,43.04,528,0.942,bicubic,-61.457,-31.650,-12
tf_efficientnet_b5,31.867,68.133,65.293,34.707,30.39,456,0.934,bicubic,-64.483,-34.077,-13 tf_efficientnet_b5_ap,34.787,65.213,67.493,32.507,30.39,456,0.934,bicubic,-61.893,-31.967,-14
resnest101e,31.307,68.693,64.453,35.547,48.28,256,0.875,bilinear,-64.603,-34.727,-3 resnet152d,34.320,65.680,65.907,34.093,60.21,320,1.000,bicubic,-62.040,-33.483,-8
dm_nfnet_f0,31.133,68.867,63.373,36.627,71.49,256,0.900,bicubic,-65.007,-35.867,-9 tresnet_m_448,34.107,65.893,64.493,35.507,31.39,448,0.875,bilinear,-60.883,-34.487,+44
swsl_resnet50,29.973,70.027,64.120,35.880,25.56,224,0.875,bilinear,-65.577,-35.140,+6 vit_base_patch32_384,33.613,66.387,65.240,34.760,88.30,384,1.000,bicubic,-62.197,-33.910,+11
vit_deit_base_distilled_patch16_224,29.453,70.547,64.307,35.693,87.34,224,0.900,bicubic,-66.657,-34.873,-10 pit_b_224,33.173,66.827,62.320,37.680,73.76,224,0.900,bicubic,-62.467,-36.340,+16
ssl_resnext101_32x8d,29.240,70.760,61.093,38.907,88.79,224,0.875,bilinear,-66.200,-38.047,+9 swsl_resnext50_32x4d,33.013,66.987,65.067,34.933,25.03,224,0.875,bilinear,-62.857,-34.183,+5
resnet101d,29.053,70.947,62.107,37.893,44.57,320,1.000,bicubic,-67.247,-37.133,-17 ssl_resnext101_32x16d,32.600,67.400,64.000,36.000,194.03,224,0.875,bilinear,-63.200,-35.180,+9
resnetv2_50x1_bitm,27.440,72.560,63.533,36.467,25.55,480,1.000,bilinear,-67.590,-35.637,+21 swin_small_patch4_window7_224,32.600,67.400,65.440,34.560,49.61,224,0.900,bicubic,-63.310,-33.580,+1
vit_deit_base_patch16_224,27.333,72.667,58.840,41.160,86.57,224,0.900,bicubic,-68.107,-39.980,+7 vit_base_patch16_224,32.053,67.947,61.573,38.427,86.57,224,0.900,bicubic,-63.277,-37.427,+22
tf_efficientnet_b4_ap,26.333,73.667,60.067,39.933,19.34,380,0.922,bicubic,-69.817,-39.183,-17 tf_efficientnet_b5,31.840,68.160,65.293,34.707,30.39,456,0.934,bicubic,-64.510,-34.017,-14
tf_efficientnet_b4,26.213,73.787,60.267,39.733,19.34,380,0.922,bicubic,-69.657,-38.873,-10 resnest101e,31.413,68.587,64.360,35.640,48.28,256,0.875,bilinear,-64.447,-34.760,+2
ecaresnet50t,26.173,73.827,59.907,40.093,25.57,320,0.950,bicubic,-69.347,-39.203,-1 dm_nfnet_f0,31.280,68.720,63.347,36.653,71.49,256,0.900,bicubic,-64.860,-35.893,-11
ecaresnet101d,26.053,73.947,58.893,41.107,44.57,224,0.875,bicubic,-69.437,-40.197,0 swsl_resnet50,29.867,70.133,63.853,36.147,25.56,224,0.875,bilinear,-65.543,-35.437,+17
tf_efficientnet_b2_ns,24.147,75.853,57.000,43.000,9.11,260,0.890,bicubic,-71.603,-42.150,-9 vit_deit_base_distilled_patch16_224,29.600,70.400,64.453,35.547,87.34,224,0.900,bicubic,-66.490,-34.807,-12
ssl_resnext101_32x4d,24.053,75.947,57.387,42.613,44.18,224,0.875,bilinear,-71.457,-41.673,-3 ssl_resnext101_32x8d,29.040,70.960,60.973,39.027,88.79,224,0.875,bilinear,-66.430,-38.137,+11
pnasnet5large,23.547,76.453,53.427,46.573,86.06,331,0.911,bicubic,-72.143,-45.523,-9 resnet101d,28.987,71.013,62.053,37.947,44.57,320,1.000,bicubic,-67.303,-37.177,-18
nasnetalarge,23.480,76.520,55.053,44.947,88.75,331,0.911,bicubic,-72.210,-43.847,-9 vit_deit_base_patch16_224,27.440,72.560,58.893,41.107,86.57,224,0.900,bicubic,-68.000,-39.947,+12
efficientnet_b3,23.373,76.627,56.467,43.533,12.23,300,0.904,bicubic,-72.047,-42.633,-1 resnetv2_50x1_bitm,27.347,72.653,63.547,36.453,25.55,480,1.000,bilinear,-67.703,-35.613,+24
efficientnet_b3a,23.200,76.800,55.960,44.040,12.23,320,1.000,bicubic,-72.520,-43.090,-13 nfnet_l0,26.493,73.507,61.987,38.013,35.07,288,1.000,bicubic,-69.597,-37.313,-16
regnety_032,21.747,78.253,55.133,44.867,19.44,224,0.875,bicubic,-73.433,-44.007,+1 tf_efficientnet_b4,26.293,73.707,60.107,39.893,19.34,380,0.922,bicubic,-69.607,-39.063,-10
vit_deit_small_distilled_patch16_224,20.773,79.227,55.173,44.827,22.44,224,0.900,bicubic,-73.947,-43.857,+19 tf_efficientnet_b4_ap,26.240,73.760,60.227,39.773,19.34,380,0.922,bicubic,-69.920,-39.053,-22
resnest50d_4s2x40d,20.507,79.493,52.800,47.200,30.42,224,0.875,bicubic,-74.533,-46.190,+6 regnety_032,26.213,73.787,60.987,39.013,19.44,288,1.000,bicubic,-69.757,-38.203,-17
ssl_resnext50_32x4d,20.093,79.907,53.573,46.427,25.03,224,0.875,bilinear,-74.837,-45.277,+14 ecaresnet50t,26.133,73.867,60.027,39.973,25.57,320,0.950,bicubic,-69.377,-39.093,+2
tresnet_xl,19.613,80.387,52.813,47.187,78.44,224,0.875,bilinear,-75.857,-46.327,-10 ecaresnet101d,26.027,73.973,58.987,41.013,44.57,224,0.875,bicubic,-69.503,-40.143,0
rexnet_200,19.333,80.667,52.387,47.613,16.37,224,0.875,bicubic,-75.667,-46.583,+6 eca_nfnet_l0,25.013,74.987,60.360,39.640,24.14,288,1.000,bicubic,-70.917,-38.850,-17
gluon_senet154,19.293,80.707,47.560,52.440,115.09,224,0.875,bicubic,-75.657,-51.180,+9 tnt_s_patch16_224,24.733,75.267,58.187,41.813,23.76,224,0.900,bicubic,-70.307,-40.693,+18
repvgg_b3,19.093,80.907,49.787,50.213,123.09,224,0.875,bilinear,-75.457,-48.963,+29 ssl_resnext101_32x4d,24.173,75.827,57.413,42.587,44.18,224,0.875,bilinear,-71.267,-41.717,0
legacy_senet154,19.080,80.920,48.280,51.720,115.09,224,0.875,bilinear,-75.890,-50.590,+6 tf_efficientnet_b2_ns,24.013,75.987,57.293,42.707,9.11,260,0.890,bicubic,-71.757,-41.827,-11
vit_deit_small_patch16_224,18.933,81.067,51.080,48.920,22.05,224,0.900,bicubic,-75.417,-47.590,+41 nasnetalarge,23.493,76.507,55.027,44.973,88.75,331,0.911,bicubic,-72.187,-43.903,-9
gluon_seresnext101_64x4d,18.893,81.107,49.107,50.893,88.23,224,0.875,bicubic,-75.987,-49.733,+8 efficientnet_b3,23.453,76.547,56.587,43.413,12.23,300,0.904,bicubic,-72.127,-42.513,-8
tf_efficientnet_b1_ns,18.667,81.333,51.613,48.387,7.79,240,0.882,bicubic,-76.513,-47.467,-9 pnasnet5large,23.333,76.667,53.640,46.360,86.06,331,0.911,bicubic,-72.377,-45.280,-12
ecaresnet50d,18.653,81.347,51.893,48.107,25.58,224,0.875,bicubic,-75.957,-46.947,+19 efficientnet_b3a,23.213,76.787,55.960,44.040,12.23,320,1.000,bicubic,-72.497,-43.080,-14
seresnext50_32x4d,18.400,81.600,50.987,49.013,27.56,224,0.875,bicubic,-76.680,-47.923,-7 pit_s_distilled_224,22.360,77.640,57.120,42.880,24.04,224,0.900,bicubic,-72.880,-41.930,+1
tf_efficientnet_lite4,17.973,82.027,51.240,48.760,13.01,380,0.920,bilinear,-77.007,-47.750,-2 swin_tiny_patch4_window7_224,21.173,78.827,55.973,44.027,28.29,224,0.900,bicubic,-73.967,-42.877,+2
resnest50d_1s4x24d,17.640,82.360,49.813,50.187,25.68,224,0.875,bicubic,-77.020,-49.187,+10 pit_s_224,21.080,78.920,53.573,46.427,23.46,224,0.900,bicubic,-73.510,-45.137,+35
tf_efficientnet_b3_ap,17.187,82.813,49.867,50.133,12.23,300,0.904,bicubic,-78.123,-49.073,-17 efficientnet_v2s,21.013,78.987,52.840,47.160,23.94,224,1.000,bicubic,-74.527,-46.120,-13
resnest50d,17.173,82.827,50.600,49.400,27.48,224,0.875,bilinear,-77.497,-48.190,+6 vit_deit_small_distilled_patch16_224,20.707,79.293,55.133,44.867,22.44,224,0.900,bicubic,-74.003,-43.897,+23
gluon_resnext101_64x4d,17.133,82.867,44.400,55.600,83.46,224,0.875,bicubic,-77.417,-54.240,+17 resnest50d_4s2x40d,20.387,79.613,52.800,47.200,30.42,224,0.875,bicubic,-74.573,-46.270,+10
gluon_seresnext101_32x4d,17.133,82.867,46.773,53.227,48.96,224,0.875,bicubic,-77.807,-51.957,-3 ssl_resnext50_32x4d,20.000,80.000,53.613,46.387,25.03,224,0.875,bilinear,-74.870,-45.267,+15
inception_v4,17.133,82.867,45.853,54.147,42.68,299,0.875,bicubic,-77.227,-52.707,+29 tresnet_xl,19.640,80.360,53.133,46.867,78.44,224,0.875,bilinear,-75.800,-45.917,-12
xception71,17.027,82.973,45.427,54.573,42.34,299,0.903,bicubic,-77.253,-53.193,+36 gluon_senet154,19.307,80.693,47.533,52.467,115.09,224,0.875,bicubic,-75.613,-51.227,+10
tf_efficientnet_b3,16.907,83.093,49.707,50.293,12.23,300,0.904,bicubic,-78.113,-49.193,-12 rexnet_200,19.227,80.773,52.720,47.280,16.37,224,0.875,bicubic,-75.713,-46.290,+7
inception_resnet_v2,16.720,83.280,44.893,55.107,55.84,299,0.897,bicubic,-77.770,-54.057,+16 repvgg_b3,19.107,80.893,50.253,49.747,123.09,224,0.875,bilinear,-75.463,-48.527,+28
tresnet_l,16.680,83.320,50.040,49.960,55.99,224,0.875,bilinear,-78.500,-48.970,-21 legacy_senet154,19.053,80.947,47.947,52.053,115.09,224,0.875,bilinear,-76.017,-50.883,-3
wide_resnet50_2,16.653,83.347,48.787,51.213,68.88,224,0.875,bicubic,-78.387,-50.303,-18 vit_deit_small_patch16_224,18.907,81.093,51.413,48.587,22.05,224,0.900,bicubic,-75.493,-47.277,+39
gluon_resnet152_v1d,16.600,83.400,44.520,55.480,60.21,224,0.875,bicubic,-78.060,-54.260,-2 gluon_seresnext101_64x4d,18.907,81.093,49.187,50.813,88.23,224,0.875,bicubic,-76.023,-49.643,+5
gluon_resnet152_v1s,16.587,83.413,44.693,55.307,60.32,224,0.875,bicubic,-78.523,-54.237,-23 tf_efficientnet_b1_ns,18.693,81.307,51.667,48.333,7.79,240,0.882,bicubic,-76.477,-47.443,-12
gernet_l,16.360,83.640,47.333,52.667,31.08,256,0.875,bilinear,-78.830,-51.537,-28 seresnext50_32x4d,18.360,81.640,50.973,49.027,27.56,224,0.875,bicubic,-76.680,-47.957,-5
gluon_xception65,16.333,83.667,46.147,53.853,39.92,299,0.903,bicubic,-77.917,-52.443,+30 ecaresnet50d,18.227,81.773,51.880,48.120,25.58,224,0.875,bicubic,-76.403,-47.010,+15
ens_adv_inception_resnet_v2,16.133,83.867,43.627,56.373,55.84,299,0.897,bicubic,-78.027,-54.893,+39 tf_efficientnet_lite4,18.133,81.867,50.707,49.293,13.01,380,0.920,bilinear,-76.757,-48.313,+3
xception65,16.040,83.960,43.787,56.213,39.92,299,0.903,bicubic,-77.720,-54.563,+63 resnest50d_1s4x24d,17.693,82.307,49.800,50.200,25.68,224,0.875,bicubic,-77.057,-49.180,+6
repvgg_b3g4,15.960,84.040,48.013,51.987,83.83,224,0.875,bilinear,-78.530,-50.757,+6 gluon_seresnext101_32x4d,17.373,82.627,46.373,53.627,48.96,224,0.875,bicubic,-77.547,-52.437,0
ssl_resnet50,15.867,84.133,49.360,50.640,25.56,224,0.875,bilinear,-78.563,-49.510,+11 resnest50d,17.373,82.627,50.707,49.293,27.48,224,0.875,bilinear,-77.457,-48.173,+2
ecaresnet101d_pruned,15.507,84.493,47.813,52.187,24.88,224,0.875,bicubic,-79.573,-51.147,-29 efficientnet_el,17.347,82.653,49.987,50.013,10.59,300,0.904,bicubic,-77.773,-49.003,-17
ecaresnet26t,15.453,84.547,47.853,52.147,16.01,320,0.950,bicubic,-78.867,-50.857,+19 inception_v4,17.267,82.733,45.920,54.080,42.68,299,0.875,bicubic,-77.113,-52.660,+31
regnety_320,15.440,84.560,44.800,55.200,145.05,224,0.875,bicubic,-79.170,-54.070,-6 tf_efficientnet_b3_ap,17.187,82.813,49.680,50.320,12.23,300,0.904,bicubic,-78.133,-49.220,-24
skresnext50_32x4d,15.107,84.893,44.747,55.253,27.48,224,0.875,bicubic,-79.093,-53.713,+26 tf_efficientnet_b3,17.000,83.000,49.267,50.733,12.23,300,0.904,bicubic,-78.010,-49.643,-11
ecaresnetlight,15.107,84.893,45.827,54.173,30.16,224,0.875,bicubic,-79.583,-52.973,-16 xception71,17.000,83.000,45.520,54.480,42.34,299,0.903,bicubic,-77.280,-53.120,+34
rexnet_150,14.800,85.200,46.693,53.307,9.73,224,0.875,bicubic,-79.600,-51.917,+9 gluon_resnext101_64x4d,16.853,83.147,44.213,55.787,83.46,224,0.875,bicubic,-77.817,-54.437,+3
efficientnet_b2a,14.400,85.600,46.107,53.893,9.11,288,1.000,bicubic,-80.220,-52.673,-11 tresnet_l,16.600,83.400,49.920,50.080,55.99,224,0.875,bilinear,-78.690,-49.090,-27
seresnet50,14.360,85.640,45.613,54.387,28.09,224,0.875,bicubic,-80.140,-53.097,-4 gluon_resnet152_v1d,16.573,83.427,44.280,55.720,60.21,224,0.875,bicubic,-78.167,-54.460,-3
legacy_seresnext101_32x4d,14.307,85.693,43.200,56.800,48.96,224,0.875,bilinear,-80.123,-55.380,0 gluon_resnet152_v1s,16.573,83.427,44.533,55.467,60.32,224,0.875,bicubic,-78.467,-54.297,-17
gluon_resnext101_32x4d,14.080,85.920,41.893,58.107,44.18,224,0.875,bicubic,-80.550,-56.737,-16 inception_resnet_v2,16.573,83.427,44.960,55.040,55.84,299,0.897,bicubic,-77.967,-53.830,+10
gernet_m,13.827,86.173,46.067,53.933,21.14,224,0.875,bilinear,-80.843,-52.773,-22 gluon_xception65,16.440,83.560,46.027,53.973,39.92,299,0.903,bicubic,-77.820,-52.543,+29
efficientnet_b2,13.627,86.373,44.840,55.160,9.11,260,0.875,bicubic,-80.933,-53.880,-11 gernet_l,16.373,83.627,47.213,52.787,31.08,256,0.875,bilinear,-78.717,-51.687,-27
gluon_seresnext50_32x4d,13.507,86.493,43.773,56.227,27.56,224,0.875,bicubic,-80.803,-54.817,+9 wide_resnet50_2,16.280,83.720,48.347,51.653,68.88,224,0.875,bicubic,-78.800,-50.623,-26
ese_vovnet39b,13.360,86.640,43.760,56.240,24.57,224,0.875,bicubic,-80.800,-54.780,+24 ens_adv_inception_resnet_v2,16.240,83.760,43.640,56.360,55.84,299,0.897,bicubic,-77.920,-54.960,+37
repvgg_b2g4,13.360,86.640,43.667,56.333,61.76,224,0.875,bilinear,-80.560,-54.933,+36 repvgg_b3g4,16.213,83.787,47.653,52.347,83.83,224,0.875,bilinear,-78.307,-51.317,+8
mixnet_xl,13.253,86.747,43.440,56.560,11.90,224,0.875,bicubic,-80.937,-54.910,+16 xception65,16.027,83.973,43.773,56.227,39.92,299,0.903,bicubic,-77.733,-54.597,+62
efficientnet_b3_pruned,13.213,86.787,45.347,54.653,9.86,300,0.904,bicubic,-81.417,-53.423,-24 ssl_resnet50,15.960,84.040,49.467,50.533,25.56,224,0.875,bilinear,-78.490,-49.453,+12
nf_regnet_b1,13.107,86.893,44.360,55.640,10.22,288,0.900,bicubic,-81.033,-54.240,+21 regnety_320,15.627,84.373,44.827,55.173,145.05,224,0.875,bicubic,-78.913,-54.023,+3
gluon_resnet101_v1d,13.093,86.907,41.573,58.427,44.57,224,0.875,bicubic,-81.177,-57.067,+6 ecaresnet101d_pruned,15.600,84.400,48.027,51.973,24.88,224,0.875,bicubic,-79.480,-50.953,-33
regnetx_320,12.907,87.093,40.547,59.453,107.81,224,0.875,bicubic,-81.433,-58.263,-2 ecaresnet26t,15.467,84.533,47.920,52.080,16.01,320,0.950,bicubic,-78.843,-50.800,+18
gluon_inception_v3,12.627,87.373,40.387,59.613,23.83,299,0.875,bicubic,-80.833,-58.213,+57 skresnext50_32x4d,15.373,84.627,44.493,55.507,27.48,224,0.875,bicubic,-78.887,-53.967,+21
regnety_160,12.600,87.400,41.400,58.600,83.59,224,0.875,bicubic,-81.810,-57.480,-9 ecaresnetlight,15.160,84.840,45.827,54.173,30.16,224,0.875,bicubic,-79.610,-52.973,-19
regnety_120,12.440,87.560,42.147,57.853,51.82,224,0.875,bicubic,-81.990,-56.723,-13 rexnet_150,14.720,85.280,46.907,53.093,9.73,224,0.875,bicubic,-79.760,-51.883,+4
efficientnet_em,12.387,87.613,43.907,56.093,6.90,240,0.882,bicubic,-81.513,-54.633,+29 efficientnet_el_pruned,14.480,85.520,46.120,53.880,10.59,300,0.904,bicubic,-79.920,-52.620,+7
nf_resnet50,12.360,87.640,46.747,53.253,25.56,288,0.940,bicubic,-82.260,-51.983,-30 efficientnet_b2a,14.440,85.560,46.080,53.920,9.11,288,1.000,bicubic,-80.170,-52.630,-10
tresnet_m,12.293,87.707,42.173,57.827,31.39,224,0.875,bilinear,-82.307,-56.387,-27 legacy_seresnext101_32x4d,14.147,85.853,42.973,57.027,48.96,224,0.875,bilinear,-80.223,-55.677,+8
vit_small_patch16_224,12.093,87.907,40.213,59.787,48.75,224,0.900,bicubic,-80.637,-57.707,+89 seresnet50,14.147,85.853,45.467,54.533,28.09,224,0.875,bicubic,-80.403,-53.283,-8
hrnet_w64,11.987,88.013,40.973,59.027,128.06,224,0.875,bilinear,-82.043,-57.517,+15 gernet_m,14.013,85.987,46.067,53.933,21.14,224,0.875,bilinear,-80.607,-52.483,-14
cspdarknet53,11.947,88.053,43.147,56.853,27.64,256,0.887,bilinear,-82.643,-55.633,-29 gluon_resnext101_32x4d,13.867,86.133,41.653,58.347,44.18,224,0.875,bicubic,-80.663,-56.977,-7
gluon_resnet101_v1s,11.920,88.080,40.493,59.507,44.67,224,0.875,bicubic,-82.830,-58.397,-44 gluon_seresnext50_32x4d,13.600,86.400,43.760,56.240,27.56,224,0.875,bicubic,-80.740,-54.850,+6
resnet50d,11.760,88.240,42.560,57.440,25.58,224,0.875,bicubic,-82.580,-56.170,-12 repvgg_b2g4,13.440,86.560,43.787,56.213,61.76,224,0.875,bilinear,-80.420,-54.803,+40
xception41,11.653,88.347,39.107,60.893,26.97,299,0.903,bicubic,-81.807,-59.303,+47 ese_vovnet39b,13.320,86.680,43.813,56.187,24.57,224,0.875,bicubic,-80.770,-54.847,+27
dla102x2,11.547,88.453,41.080,58.920,41.28,224,0.875,bilinear,-82.393,-57.480,+14 efficientnet_b2,13.307,86.693,44.440,55.560,9.11,260,0.875,bicubic,-81.393,-54.230,-25
regnety_080,11.453,88.547,40.880,59.120,39.18,224,0.875,bicubic,-82.707,-57.750,0 regnetx_320,13.307,86.693,40.720,59.280,107.81,224,0.875,bicubic,-81.153,-58.020,-6
efficientnet_b2_pruned,11.360,88.640,41.867,58.133,8.31,260,0.890,bicubic,-82.730,-56.653,+7 pit_xs_distilled_224,13.240,86.760,44.573,55.427,11.00,224,0.900,bicubic,-80.570,-54.097,+40
dpn92,11.253,88.747,40.293,59.707,37.67,224,0.875,bicubic,-82.957,-58.437,-6 efficientnet_b3_pruned,13.173,86.827,45.213,54.787,9.86,300,0.904,bicubic,-81.457,-53.547,-24
ecaresnet50d_pruned,11.253,88.747,42.160,57.840,19.94,224,0.875,bicubic,-83.027,-56.630,-14 gluon_resnet101_v1d,13.160,86.840,41.493,58.507,44.57,224,0.875,bicubic,-81.060,-57.237,+8
tf_efficientnet_el,11.200,88.800,42.200,57.800,10.59,300,0.904,bicubic,-83.220,-56.550,-26 mixnet_xl,13.120,86.880,43.253,56.747,11.90,224,0.875,bicubic,-81.070,-55.087,+10
adv_inception_v3,11.040,88.960,36.840,63.160,23.83,299,0.875,bicubic,-81.850,-61.330,+68 nf_regnet_b1,13.027,86.973,44.413,55.587,10.22,288,0.900,bicubic,-81.103,-54.157,+16
dpn107,11.027,88.973,38.667,61.333,86.92,224,0.875,bicubic,-83.303,-59.863,-20 pit_xs_224,12.813,87.187,42.840,57.160,10.62,224,0.900,bicubic,-80.297,-55.470,+78
hrnet_w48,11.027,88.973,40.693,59.307,77.47,224,0.875,bilinear,-82.803,-57.937,+17 gluon_inception_v3,12.640,87.360,40.493,59.507,23.83,299,0.875,bicubic,-80.820,-58.077,+56
tf_inception_v3,10.920,89.080,37.027,62.973,23.83,299,0.875,bicubic,-82.350,-61.023,+50 tresnet_m,12.600,87.400,41.893,58.107,31.39,224,0.875,bilinear,-82.020,-56.967,-29
tf_efficientnet_b0_ns,10.880,89.120,40.307,59.693,5.29,224,0.875,bicubic,-82.640,-58.313,+32 regnety_120,12.427,87.573,42.200,57.800,51.82,224,0.875,bicubic,-82.053,-56.610,-17
gluon_resnet152_v1c,10.800,89.200,37.067,62.933,60.21,224,0.875,bicubic,-83.380,-61.573,-11 efficientnet_em,12.360,87.640,43.880,56.120,6.90,240,0.882,bicubic,-81.480,-54.930,+28
resnext50_32x4d,10.787,89.213,40.667,59.333,25.03,224,0.875,bicubic,-83.223,-57.723,-1 nf_resnet50,12.320,87.680,46.760,53.240,25.56,288,0.940,bicubic,-82.270,-52.050,-29
rexnet_130,10.720,89.280,41.560,58.440,7.56,224,0.875,bicubic,-83.120,-56.840,+11 vit_small_patch16_224,12.147,87.853,40.320,59.680,48.75,224,0.900,bicubic,-80.613,-57.610,+88
dpn131,10.640,89.360,37.440,62.560,79.25,224,0.875,bicubic,-83.240,-61.300,+7 hrnet_w64,12.027,87.973,40.787,59.213,128.06,224,0.875,bilinear,-81.983,-57.823,+15
hrnet_w44,10.547,89.453,39.467,60.533,67.06,224,0.875,bilinear,-83.113,-59.223,+20 cspdarknet53,12.013,87.987,43.253,56.747,27.64,256,0.887,bilinear,-82.647,-55.547,-38
tf_efficientnet_b2_ap,10.493,89.507,39.813,60.187,9.11,260,0.890,bicubic,-83.967,-58.827,-42 gluon_resnet101_v1s,11.880,88.120,40.973,59.027,44.67,224,0.875,bicubic,-82.840,-57.847,-43
resnext50d_32x4d,10.480,89.520,39.907,60.093,25.05,224,0.875,bicubic,-83.680,-58.783,-15 resnet50d,11.693,88.307,42.453,57.547,25.58,224,0.875,bicubic,-82.567,-56.267,-9
legacy_seresnext50_32x4d,10.347,89.653,39.027,60.973,27.56,224,0.875,bilinear,-83.393,-59.483,+12 dpn92,11.627,88.373,40.267,59.733,37.67,224,0.875,bicubic,-82.603,-58.463,-7
regnety_064,10.227,89.773,39.320,60.680,30.58,224,0.875,bicubic,-84.003,-59.430,-24 xception41,11.600,88.400,39.133,60.867,26.97,299,0.903,bicubic,-81.830,-59.297,+48
dpn98,10.147,89.853,36.587,63.413,61.57,224,0.875,bicubic,-83.953,-61.993,-12 dla102x2,11.573,88.427,41.293,58.707,41.28,224,0.875,bilinear,-82.377,-57.197,+11
xception,10.133,89.867,38.013,61.987,22.86,299,0.897,bicubic,-83.247,-60.507,+32 regnety_080,11.413,88.587,40.613,59.387,39.18,224,0.875,bicubic,-82.757,-58.067,-4
gluon_resnet152_v1b,10.120,89.880,35.853,64.147,60.19,224,0.875,bicubic,-84.040,-62.847,-18 efficientnet_b2_pruned,11.360,88.640,42.027,57.973,8.31,260,0.890,bicubic,-82.780,-56.503,-1
resnext101_32x8d,10.027,89.973,37.720,62.280,88.79,224,0.875,bilinear,-83.833,-60.930,0 tf_efficientnet_el,11.333,88.667,42.040,57.960,10.59,300,0.904,bicubic,-83.077,-56.670,-26
regnetx_160,9.973,90.027,38.120,61.880,54.28,224,0.875,bicubic,-84.247,-60.680,-28 gluon_resnet152_v1c,11.093,88.907,37.120,62.880,60.21,224,0.875,bicubic,-83.067,-61.520,-5
cspresnext50,9.920,90.080,40.267,59.733,20.57,224,0.875,bilinear,-84.520,-58.453,-50 dpn107,11.080,88.920,38.693,61.307,86.92,224,0.875,bicubic,-83.230,-59.787,-21
inception_v3,9.920,90.080,35.320,64.680,23.83,299,0.875,bicubic,-82.790,-62.640,+58 hrnet_w48,11.080,88.920,40.320,59.680,77.47,224,0.875,bilinear,-82.840,-58.290,+6
dpn68b,9.813,90.187,38.213,61.787,12.61,224,0.875,bicubic,-83.787,-60.297,+11 ecaresnet50d_pruned,11.027,88.973,41.947,58.053,19.94,224,0.875,bicubic,-83.193,-56.603,-14
res2net101_26w_4s,9.707,90.293,35.027,64.973,45.21,224,0.875,bilinear,-83.943,-63.373,+9 adv_inception_v3,11.013,88.987,36.720,63.280,23.83,299,0.875,bicubic,-81.867,-61.420,+67
tf_efficientnet_b2,9.667,90.333,39.000,61.000,9.11,260,0.890,bicubic,-84.733,-59.820,-48 tf_efficientnet_b0_ns,10.933,89.067,40.067,59.933,5.29,224,0.875,bicubic,-82.697,-58.573,+25
tf_efficientnet_cc_b1_8e,9.573,90.427,36.880,63.120,39.72,240,0.882,bicubic,-84.387,-61.360,-17 tf_inception_v3,10.840,89.160,36.853,63.147,23.83,299,0.875,bicubic,-82.480,-61.177,+43
legacy_seresnet152,9.507,90.493,37.400,62.600,66.82,224,0.875,bilinear,-83.823,-60.980,+24 resnext50_32x4d,10.800,89.200,40.307,59.693,25.03,224,0.875,bicubic,-83.300,-58.043,-6
tf_efficientnet_lite3,9.373,90.627,39.267,60.733,8.20,300,0.904,bilinear,-84.867,-59.363,-38 dpn131,10.787,89.213,37.200,62.800,79.25,224,0.875,bicubic,-83.223,-61.520,-4
cspresnet50,9.213,90.787,39.747,60.253,21.62,256,0.887,bilinear,-84.537,-58.923,-4 tf_efficientnet_b2_ap,10.533,89.467,40.107,59.893,9.11,260,0.890,bicubic,-83.957,-58.513,-42
gluon_resnext50_32x4d,9.173,90.827,36.613,63.387,25.03,224,0.875,bicubic,-84.547,-61.857,-3 resnext50d_32x4d,10.413,89.587,39.733,60.267,25.05,224,0.875,bicubic,-83.767,-58.837,-18
seresnext26d_32x4d,9.160,90.840,37.000,63.000,16.81,224,0.875,bicubic,-83.520,-61.130,+53 rexnet_130,10.400,89.600,41.547,58.453,7.56,224,0.875,bicubic,-83.500,-56.713,-1
efficientnet_b1,9.147,90.853,37.360,62.640,7.79,240,0.875,bicubic,-84.103,-60.810,+24 hrnet_w44,10.320,89.680,39.507,60.493,67.06,224,0.875,bilinear,-83.230,-59.193,+21
hrnet_w40,9.120,90.880,37.147,62.853,57.56,224,0.875,bilinear,-84.330,-61.423,+10 resnext101_32x8d,10.187,89.813,37.827,62.173,88.79,224,0.875,bilinear,-83.643,-60.753,+3
seresnext26t_32x4d,9.040,90.960,36.813,63.187,16.81,224,0.875,bicubic,-83.660,-61.567,+47 regnetx_160,10.147,89.853,38.000,62.000,54.28,224,0.875,bicubic,-83.973,-60.750,-14
rexnet_100,9.027,90.973,36.533,63.467,4.80,224,0.875,bicubic,-84.053,-61.617,+28 dpn98,10.133,89.867,36.587,63.413,61.57,224,0.875,bicubic,-83.997,-62.043,-16
regnetx_120,9.013,90.987,37.173,62.827,46.11,224,0.875,bicubic,-85.107,-61.567,-33 cspresnext50,10.120,89.880,40.373,59.627,20.57,224,0.875,bilinear,-84.360,-58.307,-48
resnest26d,8.880,91.120,37.853,62.147,17.07,224,0.875,bilinear,-84.560,-60.847,+8 legacy_seresnext50_32x4d,10.107,89.893,39.200,60.800,27.56,224,0.875,bilinear,-83.623,-59.380,+8
regnety_040,8.787,91.213,36.707,63.293,20.65,224,0.875,bicubic,-85.143,-61.983,-26 inception_v3,10.027,89.973,35.227,64.773,23.83,299,0.875,bicubic,-82.693,-62.743,+63
legacy_seresnet101,8.733,91.267,35.840,64.160,49.33,224,0.875,bilinear,-84.547,-62.630,+15 xception,9.987,90.013,38.027,61.973,22.86,299,0.897,bicubic,-83.473,-60.503,+22
mixnet_l,8.693,91.307,36.333,63.667,7.33,224,0.875,bicubic,-84.747,-62.267,+6 regnety_064,9.947,90.053,39.067,60.933,30.58,224,0.875,bicubic,-84.203,-59.663,-24
hrnet_w30,8.587,91.413,37.453,62.547,37.71,224,0.875,bilinear,-84.543,-60.947,+20 dpn68b,9.787,90.213,38.053,61.947,12.61,224,0.875,bicubic,-83.903,-60.457,+6
tf_efficientnet_b1_ap,8.520,91.480,35.213,64.787,7.79,240,0.882,bicubic,-85.180,-63.157,-12 gluon_resnet152_v1b,9.747,90.253,36.067,63.933,60.19,224,0.875,bicubic,-84.333,-62.383,-19
repvgg_b2,8.440,91.560,36.320,63.680,89.02,224,0.875,bilinear,-85.000,-61.950,+1 tf_efficientnet_lite3,9.667,90.333,39.000,61.000,8.20,300,0.904,bilinear,-84.533,-59.640,-33
dla169,8.360,91.640,36.040,63.960,53.39,224,0.875,bilinear,-85.030,-62.510,+4 tf_efficientnet_b2,9.653,90.347,38.880,61.120,9.11,260,0.890,bicubic,-84.707,-59.730,-46
resnetblur50,8.200,91.800,36.920,63.080,25.56,224,0.875,bicubic,-85.780,-61.600,-37 tf_efficientnet_cc_b1_8e,9.573,90.427,36.773,63.227,39.72,240,0.882,bicubic,-84.327,-61.627,-16
dla102x,8.187,91.813,36.907,63.093,26.31,224,0.875,bilinear,-85.373,-61.653,-11 res2net101_26w_4s,9.520,90.480,35.027,64.973,45.21,224,0.875,bilinear,-84.230,-63.353,-4
hrnet_w32,8.120,91.880,37.507,62.493,41.23,224,0.875,bilinear,-85.350,-60.883,-7 legacy_seresnet152,9.347,90.653,37.413,62.587,66.82,224,0.875,bilinear,-84.053,-60.937,+18
res2net50_26w_8s,8.053,91.947,34.093,65.907,48.40,224,0.875,bilinear,-85.597,-64.177,-16 cspresnet50,9.253,90.747,39.640,60.360,21.62,256,0.887,bilinear,-84.487,-59.000,-4
gluon_resnet101_v1c,8.000,92.000,32.853,67.147,44.57,224,0.875,bicubic,-85.790,-65.547,-27 hrnet_w40,9.227,90.773,36.893,63.107,57.56,224,0.875,bilinear,-84.263,-61.687,+10
gluon_resnet50_v1d,7.947,92.053,35.093,64.907,25.58,224,0.875,bicubic,-85.763,-63.297,-22 regnetx_120,9.187,90.813,37.200,62.800,46.11,224,0.875,bicubic,-85.053,-61.450,-44
vit_deit_tiny_distilled_patch16_224,7.853,92.147,33.747,66.253,5.91,224,0.900,bicubic,-82.817,-63.813,+86 seresnext26d_32x4d,9.147,90.853,36.840,63.160,16.81,224,0.875,bicubic,-83.553,-61.310,+51
dla60_res2next,7.827,92.173,34.773,65.227,17.03,224,0.875,bilinear,-85.343,-63.657,+7 efficientnet_b1,9.120,90.880,37.360,62.640,7.79,240,0.875,bicubic,-84.140,-60.810,+22
densenetblur121d,7.600,92.400,34.173,65.827,8.00,224,0.875,bicubic,-84.150,-63.927,+61 resnest26d,9.080,90.920,37.853,62.147,17.07,224,0.875,bilinear,-84.250,-60.777,+15
dla60_res2net,7.573,92.427,34.733,65.267,20.85,224,0.875,bilinear,-85.617,-63.657,+4 regnety_040,9.000,91.000,37.053,62.947,20.65,224,0.875,bicubic,-84.860,-61.597,-21
wide_resnet101_2,7.560,92.440,34.493,65.507,126.89,224,0.875,bilinear,-86.320,-64.077,-37 gluon_resnext50_32x4d,8.947,91.053,36.333,63.667,25.03,224,0.875,bicubic,-84.863,-62.077,-18
efficientnet_b1_pruned,7.480,92.520,34.467,65.533,6.33,240,0.882,bicubic,-85.280,-63.573,+22 rexnet_100,8.893,91.107,36.373,63.627,4.80,224,0.875,bicubic,-84.137,-62.017,+27
regnetx_064,7.427,92.573,34.120,65.880,26.21,224,0.875,bicubic,-86.513,-64.550,-46 seresnext26t_32x4d,8.893,91.107,36.907,63.093,16.81,224,0.875,bicubic,-83.927,-61.463,+37
gluon_resnet101_v1b,7.320,92.680,32.627,67.373,44.55,224,0.875,bicubic,-86.440,-65.843,-35 mixnet_l,8.853,91.147,36.187,63.813,7.33,224,0.875,bicubic,-84.597,-62.033,+4
vit_deit_tiny_patch16_224,7.240,92.760,30.707,69.293,5.72,224,0.900,bicubic,-82.410,-66.733,+89 dla169,8.640,91.360,36.040,63.960,53.39,224,0.875,bilinear,-84.700,-62.560,+7
gluon_resnet50_v1s,7.147,92.853,33.267,66.733,25.68,224,0.875,bicubic,-86.553,-65.203,-31 hrnet_w30,8.613,91.387,37.040,62.960,37.71,224,0.875,bilinear,-84.587,-61.370,+15
tf_efficientnet_cc_b0_8e,7.133,92.867,31.800,68.200,24.01,224,0.875,bicubic,-85.687,-66.460,+12 legacy_seresnet101,8.533,91.467,36.013,63.987,49.33,224,0.875,bilinear,-84.747,-62.497,+12
tf_efficientnet_b1,7.093,92.907,33.027,66.973,7.79,240,0.882,bicubic,-86.397,-65.313,-23 tf_efficientnet_b1_ap,8.453,91.547,35.253,64.747,7.79,240,0.882,bicubic,-85.237,-63.107,-14
efficientnet_b0,7.000,93.000,34.213,65.787,5.29,224,0.875,bicubic,-85.550,-63.867,+27 repvgg_b2,8.427,91.573,36.467,63.533,89.02,224,0.875,bilinear,-85.073,-62.263,-6
tf_mixnet_l,6.947,93.053,31.800,68.200,7.33,224,0.875,bicubic,-86.413,-66.240,-14 resnetblur50,8.240,91.760,37.400,62.600,25.56,224,0.875,bicubic,-85.720,-61.190,-38
ese_vovnet19b_dw,6.827,93.173,33.093,66.907,6.54,224,0.875,bicubic,-85.473,-64.987,+33 dla102x,8.200,91.800,37.013,62.987,26.31,224,0.875,bilinear,-85.320,-61.497,-9
res2net50_26w_6s,6.787,93.213,31.907,68.093,37.05,224,0.875,bilinear,-86.743,-66.523,-29 hrnet_w32,8.040,91.960,37.507,62.493,41.23,224,0.875,bilinear,-85.490,-60.943,-11
resnet34d,6.733,93.267,31.760,68.240,21.82,224,0.875,bicubic,-86.037,-66.500,+9 res2net50_26w_8s,8.000,92.000,33.853,66.147,48.40,224,0.875,bilinear,-85.540,-64.407,-13
selecsls60b,6.693,93.307,33.453,66.547,32.77,224,0.875,bicubic,-86.607,-64.857,-15 gluon_resnet101_v1c,7.987,92.013,33.360,66.640,44.57,224,0.875,bicubic,-85.683,-65.060,-19
mixnet_m,6.667,93.333,32.200,67.800,5.01,224,0.875,bicubic,-85.783,-65.670,+25 gluon_resnet50_v1d,7.920,92.080,35.000,65.000,25.58,224,0.875,bicubic,-85.850,-63.390,-29
efficientnet_es,6.627,93.373,34.333,65.667,5.44,224,0.875,bicubic,-86.443,-64.147,-6 dla60_res2next,7.787,92.213,34.987,65.013,17.03,224,0.875,bilinear,-85.393,-63.423,+7
skresnet34,6.627,93.373,31.560,68.440,22.28,224,0.875,bicubic,-85.783,-66.660,+24 densenetblur121d,7.720,92.280,34.733,65.267,8.00,224,0.875,bicubic,-84.190,-63.337,+62
legacy_seresnext26_32x4d,6.600,93.400,33.253,66.747,16.79,224,0.875,bicubic,-85.920,-64.897,+19 vit_deit_tiny_distilled_patch16_224,7.707,92.293,33.560,66.440,5.91,224,0.900,bicubic,-82.993,-64.010,+91
dla60x,6.560,93.440,33.680,66.320,17.35,224,0.875,bilinear,-86.570,-64.840,-13 dla60_res2net,7.560,92.440,34.627,65.373,20.85,224,0.875,bilinear,-85.620,-63.793,+3
repvgg_b1,6.547,93.453,33.760,66.240,57.42,224,0.875,bilinear,-86.863,-64.770,-27 efficientnet_b1_pruned,7.440,92.560,34.533,65.467,6.33,240,0.882,bicubic,-85.330,-63.507,+22
regnetx_080,6.347,93.653,32.253,67.747,39.57,224,0.875,bicubic,-87.553,-66.567,-60 wide_resnet101_2,7.360,92.640,34.147,65.853,126.89,224,0.875,bilinear,-86.360,-64.393,-29
tv_resnet152,6.240,93.760,32.440,67.560,60.19,224,0.875,bilinear,-87.090,-65.930,-24 regnetx_064,7.333,92.667,34.373,65.627,26.21,224,0.875,bicubic,-86.557,-64.257,-45
legacy_seresnet50,6.213,93.787,32.760,67.240,28.09,224,0.875,bilinear,-86.797,-65.420,-10 vit_deit_tiny_patch16_224,7.307,92.693,30.707,69.293,5.72,224,0.900,bicubic,-82.363,-66.743,+98
swsl_resnet18,6.120,93.880,31.680,68.320,11.69,224,0.875,bilinear,-84.650,-66.090,+58 hardcorenas_e,7.240,92.760,33.293,66.707,8.07,224,0.875,bilinear,-85.330,-64.817,+31
tf_efficientnet_cc_b0_4e,6.027,93.973,29.587,70.413,13.31,224,0.875,bicubic,-86.533,-68.553,+10 gluon_resnet101_v1b,7.227,92.773,32.773,67.227,44.55,224,0.875,bicubic,-86.523,-65.537,-36
dla102,6.000,94.000,32.867,67.133,33.27,224,0.875,bilinear,-87.090,-65.623,-18 efficientnet_b0,7.213,92.787,34.013,65.987,5.29,224,0.875,bicubic,-85.477,-64.057,+23
res2next50,5.907,94.093,30.827,69.173,24.67,224,0.875,bilinear,-86.983,-67.363,-10 gluon_resnet50_v1s,7.213,92.787,33.507,66.493,25.68,224,0.875,bicubic,-86.407,-64.953,-30
resnet50,5.867,94.133,28.893,71.107,25.56,224,0.875,bicubic,-88.063,-69.447,-69 tf_mixnet_l,7.147,92.853,31.613,68.387,7.33,224,0.875,bicubic,-86.163,-66.417,-12
regnetx_040,5.667,94.333,31.653,68.347,22.12,224,0.875,bicubic,-87.883,-66.807,-47 tf_efficientnet_b1,7.133,92.867,33.040,66.960,7.79,240,0.882,bicubic,-86.367,-65.320,-25
selecsls60,5.613,94.387,32.427,67.573,30.67,224,0.875,bicubic,-87.347,-65.793,-16 tf_efficientnet_cc_b0_8e,7.120,92.880,31.787,68.213,24.01,224,0.875,bicubic,-85.710,-66.393,+9
regnety_016,5.453,94.547,30.507,69.493,11.20,224,0.875,bicubic,-87.797,-67.893,-28 hardcorenas_f,6.827,93.173,34.093,65.907,8.20,224,0.875,bilinear,-86.123,-64.067,+4
hrnet_w18,5.440,94.560,31.160,68.840,21.30,224,0.875,bilinear,-86.880,-67.150,+11 ese_vovnet19b_dw,6.733,93.267,33.413,66.587,6.54,224,0.875,bicubic,-85.557,-64.677,+34
resnest14d,5.400,94.600,28.747,71.253,10.61,224,0.875,bilinear,-86.130,-69.203,+29 selecsls60b,6.733,93.267,33.267,66.733,32.77,224,0.875,bicubic,-86.567,-65.013,-16
tf_efficientnet_em,5.400,94.600,31.133,68.867,6.90,240,0.882,bicubic,-87.540,-67.057,-19 efficientnet_es,6.707,93.293,33.840,66.160,5.44,224,0.875,bicubic,-86.433,-64.580,-10
res2net50_14w_8s,5.347,94.653,28.960,71.040,25.06,224,0.875,bilinear,-87.453,-69.210,-14 res2net50_26w_6s,6.693,93.307,31.653,68.347,37.05,224,0.875,bilinear,-86.717,-66.627,-25
tf_efficientnet_lite2,5.320,94.680,30.893,69.107,6.09,260,0.890,bicubic,-87.370,-67.327,-8 legacy_seresnext26_32x4d,6.627,93.373,33.253,66.747,16.79,224,0.875,bicubic,-86.013,-64.877,+16
repvgg_b1g4,5.253,94.747,30.733,69.267,39.97,224,0.875,bilinear,-87.567,-67.647,-19 mixnet_m,6.627,93.373,32.053,67.947,5.01,224,0.875,bicubic,-85.803,-65.817,+23
tf_efficientnet_b0_ap,5.240,94.760,28.947,71.053,5.29,224,0.875,bicubic,-86.940,-69.103,+8 pit_ti_distilled_224,6.627,93.373,30.760,69.240,5.10,224,0.900,bicubic,-84.273,-66.940,+66
densenet121,5.240,94.760,29.827,70.173,7.98,224,0.875,bicubic,-86.460,-68.183,+23 skresnet34,6.480,93.520,31.547,68.453,22.28,224,0.875,bicubic,-85.910,-66.603,+24
tf_mixnet_m,5.133,94.867,28.200,71.800,5.01,224,0.875,bicubic,-87.247,-69.710,+2 repvgg_b1,6.467,93.533,33.827,66.173,57.42,224,0.875,bilinear,-86.863,-64.683,-27
res2net50_26w_4s,5.107,94.893,29.293,70.707,25.70,224,0.875,bilinear,-87.373,-68.847,-3 hardcorenas_d,6.440,93.560,32.213,67.787,7.50,224,0.875,bilinear,-85.960,-65.837,+21
gernet_s,5.080,94.920,30.480,69.520,8.17,224,0.875,bilinear,-86.880,-67.730,+13 dla60x,6.427,93.573,34.080,65.920,17.35,224,0.875,bilinear,-86.693,-64.430,-17
regnetx_032,5.053,94.947,30.360,69.640,15.30,224,0.875,bicubic,-88.007,-67.980,-32 resnet34d,6.400,93.600,31.493,68.507,21.82,224,0.875,bicubic,-86.280,-66.817,+7
tf_efficientnet_b0,5.000,95.000,28.667,71.333,5.29,224,0.875,bicubic,-87.260,-69.233,+1 regnetx_080,6.307,93.693,32.320,67.680,39.57,224,0.875,bicubic,-87.563,-66.200,-66
mobilenetv3_large_100,4.920,95.080,28.427,71.573,5.48,224,0.875,bicubic,-86.200,-69.273,+27 swsl_resnet18,6.240,93.760,31.600,68.400,11.69,224,0.875,bilinear,-84.450,-66.100,+65
gluon_resnet50_v1c,4.907,95.093,28.120,71.880,25.58,224,0.875,bicubic,-88.123,-70.210,-34 legacy_seresnet50,6.187,93.813,32.653,67.347,28.09,224,0.875,bilinear,-86.773,-65.537,-12
mobilenetv3_rw,4.853,95.147,30.213,69.787,5.48,224,0.875,bicubic,-86.347,-67.437,+21 pit_ti_224,6.120,93.880,30.227,69.773,4.85,224,0.900,bicubic,-83.820,-67.223,+71
mixnet_s,4.840,95.160,28.533,71.467,4.13,224,0.875,bicubic,-86.990,-69.157,+10 tv_resnet152,6.040,93.960,32.053,67.947,60.19,224,0.875,bilinear,-87.260,-66.337,-30
densenet161,4.840,95.160,29.613,70.387,28.68,224,0.875,bicubic,-87.840,-68.737,-19 tf_efficientnet_cc_b0_4e,5.973,94.027,29.600,70.400,13.31,224,0.875,bicubic,-86.617,-68.480,+4
selecsls42b,4.827,95.173,28.893,71.107,32.46,224,0.875,bicubic,-87.413,-69.307,-4 regnetx_040,5.973,94.027,31.547,68.453,22.12,224,0.875,bicubic,-87.587,-66.993,-51
tv_resnext50_32x4d,4.800,95.200,30.520,69.480,25.03,224,0.875,bilinear,-87.970,-67.680,-28 resnet50,5.933,94.067,29.093,70.907,25.56,224,0.875,bicubic,-87.877,-69.297,-66
tv_resnet101,4.627,95.373,29.293,70.707,44.55,224,0.875,bilinear,-88.183,-68.967,-32 dla102,5.880,94.120,32.707,67.293,33.27,224,0.875,bilinear,-87.180,-65.833,-24
tf_efficientnet_lite1,4.547,95.453,28.320,71.680,5.42,240,0.882,bicubic,-88.053,-69.730,-20 regnety_016,5.680,94.320,30.413,69.587,11.20,224,0.875,bicubic,-87.350,-67.777,-22
mobilenetv2_120d,4.493,95.507,29.867,70.133,5.83,224,0.875,bicubic,-87.977,-68.133,-15 selecsls60,5.653,94.347,32.507,67.493,30.67,224,0.875,bicubic,-87.377,-65.853,-24
resnet26d,4.120,95.880,28.413,71.587,16.01,224,0.875,bicubic,-87.960,-69.587,-3 hardcorenas_c,5.640,94.360,30.400,69.600,5.52,224,0.875,bilinear,-86.380,-67.440,+19
semnasnet_100,4.080,95.920,27.227,72.773,3.89,224,0.875,bicubic,-87.180,-70.333,+11 res2next50,5.627,94.373,30.867,69.133,24.67,224,0.875,bilinear,-87.213,-67.313,-18
densenet201,4.040,95.960,27.640,72.360,20.01,224,0.875,bicubic,-88.630,-70.620,-26 hrnet_w18,5.493,94.507,30.960,69.040,21.30,224,0.875,bilinear,-86.827,-67.280,+8
gluon_resnet50_v1b,3.973,96.027,26.920,73.080,25.56,224,0.875,bicubic,-88.647,-71.250,-27 resnest14d,5.480,94.520,28.547,71.453,10.61,224,0.875,bilinear,-86.240,-69.323,+27
fbnetc_100,3.973,96.027,26.053,73.947,5.57,224,0.875,bilinear,-86.877,-71.187,+22 tf_efficientnet_lite2,5.360,94.640,30.907,69.093,6.09,260,0.890,bicubic,-87.290,-67.323,-8
repvgg_a2,3.920,96.080,26.827,73.173,28.21,224,0.875,bilinear,-88.200,-71.373,-10 tf_efficientnet_em,5.347,94.653,31.107,68.893,6.90,240,0.882,bicubic,-87.583,-67.083,-24
mobilenetv2_140,3.853,96.147,26.533,73.467,6.11,224,0.875,bicubic,-88.007,-71.337,-4 gernet_s,5.307,94.693,30.133,69.867,8.17,224,0.875,bilinear,-86.833,-68.057,+11
dpn68,3.840,96.160,25.987,74.013,12.61,224,0.875,bicubic,-88.220,-72.073,-9 tf_efficientnet_b0_ap,5.307,94.693,28.813,71.187,5.29,224,0.875,bicubic,-86.893,-69.207,+8
tf_efficientnet_es,3.840,96.160,26.347,73.653,5.44,224,0.875,bicubic,-88.160,-71.543,-9 densenet121,5.293,94.707,29.907,70.093,7.98,224,0.875,bicubic,-86.277,-68.123,+23
regnety_008,3.800,96.200,27.427,72.573,6.26,224,0.875,bicubic,-88.060,-70.763,-6 repvgg_b1g4,5.293,94.707,30.813,69.187,39.97,224,0.875,bilinear,-87.687,-67.617,-31
tf_mixnet_s,3.773,96.227,25.373,74.627,4.13,224,0.875,bicubic,-87.647,-72.237,-1 res2net50_26w_4s,5.160,94.840,29.360,70.640,25.70,224,0.875,bilinear,-87.340,-68.700,-6
densenet169,3.760,96.240,25.720,74.280,14.15,224,0.875,bicubic,-88.320,-72.450,-15 tf_mixnet_m,5.080,94.920,28.147,71.853,5.01,224,0.875,bicubic,-87.250,-69.743,-2
res2net50_48w_2s,3.680,96.320,26.827,73.173,25.29,224,0.875,bilinear,-88.900,-71.243,-33 mobilenetv3_large_100,5.067,94.933,28.187,71.813,5.48,224,0.875,bicubic,-86.253,-69.523,+24
ssl_resnet18,3.653,96.347,25.307,74.693,11.69,224,0.875,bilinear,-86.597,-72.313,+19 tf_efficientnet_b0,5.067,94.933,28.800,71.200,5.29,224,0.875,bicubic,-87.183,-69.200,0
dla60,3.653,96.347,27.800,72.200,22.04,224,0.875,bilinear,-88.487,-70.260,-20 res2net50_14w_8s,5.040,94.960,28.773,71.227,25.06,224,0.875,bilinear,-87.700,-69.407,-24
regnetx_016,3.640,96.360,26.413,73.587,9.19,224,0.875,bicubic,-88.500,-71.867,-21 hardcorenas_b,4.947,95.053,28.120,71.880,5.18,224,0.875,bilinear,-86.823,-69.660,+13
tf_mobilenetv3_large_100,3.587,96.413,24.907,75.093,5.48,224,0.875,bilinear,-87.523,-72.763,+2 mobilenetv3_rw,4.907,95.093,29.853,70.147,5.48,224,0.875,bicubic,-86.303,-67.807,+22
spnasnet_100,3.547,96.453,24.533,75.467,4.42,224,0.875,bilinear,-86.823,-72.627,+15 mixnet_s,4.907,95.093,28.573,71.427,4.13,224,0.875,bicubic,-86.923,-69.117,+10
regnety_006,3.533,96.467,25.280,74.720,6.06,224,0.875,bicubic,-87.747,-72.530,-7 gluon_resnet50_v1c,4.893,95.107,28.147,71.853,25.58,224,0.875,bicubic,-88.137,-70.153,-41
legacy_seresnet34,3.253,96.747,23.813,76.187,21.96,224,0.875,bilinear,-87.717,-73.797,+4 hardcorenas_a,4.867,95.133,28.093,71.907,5.26,224,0.875,bilinear,-86.483,-69.767,+16
dla34,3.227,96.773,23.853,76.147,15.74,224,0.875,bilinear,-87.563,-73.737,+6 regnetx_032,4.853,95.147,30.280,69.720,15.30,224,0.875,bicubic,-88.267,-68.110,-49
efficientnet_lite0,3.200,96.800,25.773,74.227,4.65,224,0.875,bicubic,-87.870,-71.887,-2 tv_resnext50_32x4d,4.840,95.160,30.307,69.693,25.03,224,0.875,bilinear,-87.900,-67.963,-30
mnasnet_100,3.120,96.880,24.267,75.733,4.38,224,0.875,bicubic,-87.340,-73.223,+8 tv_resnet101,4.707,95.293,29.333,70.667,44.55,224,0.875,bilinear,-88.103,-68.917,-36
mobilenetv2_110d,3.053,96.947,24.507,75.493,4.52,224,0.875,bicubic,-87.807,-73.103,+1 densenet161,4.693,95.307,29.547,70.453,28.68,224,0.875,bicubic,-87.807,-68.743,-20
regnety_004,3.027,96.973,23.080,76.920,4.34,224,0.875,bicubic,-87.453,-74.430,+5 selecsls42b,4.667,95.333,28.587,71.413,32.46,224,0.875,bicubic,-87.613,-69.563,-12
skresnet18,3.013,96.987,23.027,76.973,11.96,224,0.875,bicubic,-86.747,-74.293,+12 tf_efficientnet_lite1,4.613,95.387,28.387,71.613,5.42,240,0.882,bicubic,-88.007,-69.693,-27
tf_efficientnet_lite0,3.013,96.987,23.013,76.987,4.65,224,0.875,bicubic,-88.007,-74.407,-6 mobilenetv2_120d,4.533,95.467,29.280,70.720,5.83,224,0.875,bicubic,-87.867,-68.790,-20
resnet34,2.960,97.040,24.000,76.000,21.80,224,0.875,bilinear,-88.220,-73.730,-13 efficientnet_es_pruned,4.187,95.813,26.520,73.480,5.44,224,0.875,bicubic,-86.993,-71.230,+14
vgg19_bn,2.947,97.053,23.333,76.667,143.68,224,0.875,bilinear,-87.143,-74.277,+6 fbnetc_100,4.133,95.867,25.933,74.067,5.57,224,0.875,bilinear,-86.567,-71.277,+25
vgg16_bn,2.893,97.107,23.840,76.160,138.37,224,0.875,bilinear,-87.147,-73.520,+6 densenet201,4.120,95.880,27.547,72.453,20.01,224,0.875,bicubic,-88.630,-70.683,-40
hrnet_w18_small_v2,2.880,97.120,23.680,76.320,15.60,224,0.875,bilinear,-88.460,-74.270,-20 gluon_resnet50_v1b,4.120,95.880,26.933,73.067,25.56,224,0.875,bicubic,-88.420,-71.237,-28
tf_mobilenetv3_large_075,2.880,97.120,21.747,78.253,3.99,224,0.875,bilinear,-86.780,-75.533,+7 resnet26d,4.040,95.960,28.520,71.480,16.01,224,0.875,bicubic,-88.030,-69.440,-13
resnet18d,2.853,97.147,21.800,78.200,11.71,224,0.875,bicubic,-86.297,-75.420,+9 semnasnet_100,3.960,96.040,26.947,73.053,3.89,224,0.875,bicubic,-87.320,-70.613,+5
tv_densenet121,2.667,97.333,22.760,77.240,7.98,224,0.875,bicubic,-88.313,-74.980,-12 repvgg_a2,3.947,96.053,27.267,72.733,28.21,224,0.875,bilinear,-87.993,-70.883,-11
gluon_resnet34_v1b,2.560,97.440,21.773,78.227,21.80,224,0.875,bicubic,-88.410,-75.867,-12 tf_mixnet_s,3.880,96.120,25.253,74.747,4.13,224,0.875,bicubic,-87.630,-72.367,-2
repvgg_b0,2.560,97.440,24.120,75.880,15.82,224,0.875,bilinear,-88.860,-73.800,-27 dpn68,3.867,96.133,26.080,73.920,12.61,224,0.875,bicubic,-88.143,-71.970,-15
vgg16,2.560,97.440,20.293,79.707,138.36,224,0.875,bilinear,-86.080,-76.487,+12 tf_efficientnet_es,3.827,96.173,26.107,73.893,5.44,224,0.875,bicubic,-88.153,-71.753,-15
regnetx_008,2.547,97.453,22.333,77.667,7.26,224,0.875,bicubic,-88.633,-75.217,-21 regnety_008,3.813,96.187,27.133,72.867,6.26,224,0.875,bicubic,-87.937,-71.047,-8
resnet26,2.480,97.520,23.053,76.947,16.00,224,0.875,bicubic,-88.700,-74.747,-23 dla60,3.773,96.227,27.933,72.067,22.04,224,0.875,bilinear,-88.457,-70.177,-24
legacy_seresnet18,2.440,97.560,19.880,80.120,11.78,224,0.875,bicubic,-86.470,-77.110,+6 ssl_resnet18,3.747,96.253,25.427,74.573,11.69,224,0.875,bilinear,-86.473,-72.123,+21
regnetx_006,2.307,97.693,20.760,79.240,6.20,224,0.875,bicubic,-88.073,-76.560,-9 mobilenetv2_140,3.720,96.280,26.747,73.253,6.11,224,0.875,bicubic,-88.110,-71.113,-13
mobilenetv2_100,2.240,97.760,19.707,80.293,3.50,224,0.875,bicubic,-87.220,-77.493,-1 densenet169,3.707,96.293,25.613,74.387,14.15,224,0.875,bicubic,-88.223,-72.487,-18
vgg13_bn,2.227,97.773,20.480,79.520,133.05,224,0.875,bilinear,-86.613,-76.500,+4 regnetx_016,3.627,96.373,26.293,73.707,9.19,224,0.875,bicubic,-88.543,-71.917,-26
vgg19,2.213,97.787,20.920,79.080,143.67,224,0.875,bilinear,-86.907,-75.980,-1 res2net50_48w_2s,3.587,96.413,26.613,73.387,25.29,224,0.875,bilinear,-88.963,-71.467,-42
tf_mobilenetv3_small_100,2.053,97.947,15.840,84.160,2.54,224,0.875,bilinear,-83.297,-79.800,+13 spnasnet_100,3.547,96.453,24.293,75.707,4.42,224,0.875,bilinear,-86.803,-72.897,+15
regnety_002,2.040,97.960,18.587,81.413,3.16,224,0.875,bicubic,-85.360,-78.083,+6 tf_mobilenetv3_large_100,3.547,96.453,25.053,74.947,5.48,224,0.875,bilinear,-87.693,-72.607,-7
regnetx_004,1.960,98.040,18.920,81.080,5.16,224,0.875,bicubic,-87.070,-78.170,-3 regnety_006,3.467,96.533,24.893,75.107,6.06,224,0.875,bicubic,-87.903,-72.817,-12
tf_mobilenetv3_small_075,1.907,98.093,15.040,84.960,2.04,224,0.875,bilinear,-81.563,-79.660,+13 legacy_seresnet34,3.333,96.667,23.800,76.200,21.96,224,0.875,bilinear,-87.557,-73.780,+3
tv_resnet34,1.853,98.147,20.027,79.973,21.80,224,0.875,bilinear,-88.117,-77.363,-12 efficientnet_lite0,3.253,96.747,25.867,74.133,4.65,224,0.875,bicubic,-87.887,-71.763,-6
dla60x_c,1.800,98.200,17.920,82.080,1.32,224,0.875,bilinear,-84.460,-78.180,+6 dla34,3.227,96.773,23.573,76.427,15.74,224,0.875,bilinear,-87.533,-74.087,+3
vgg11_bn,1.800,98.200,18.427,81.573,132.87,224,0.875,bilinear,-85.760,-78.373,0 regnety_004,3.200,96.800,22.653,77.347,4.34,224,0.875,bicubic,-87.300,-74.887,+7
vgg13,1.747,98.253,18.120,81.880,133.05,224,0.875,bilinear,-85.313,-78.120,+2 mobilenetv2_110d,3.173,96.827,24.587,75.413,4.52,224,0.875,bicubic,-87.777,-72.963,-3
dla46x_c,1.640,98.360,16.360,83.640,1.07,224,0.875,bilinear,-82.790,-78.980,+6 mnasnet_100,3.120,96.880,24.227,75.773,4.38,224,0.875,bicubic,-87.390,-73.243,+4
tf_mobilenetv3_large_minimal_100,1.613,98.387,17.213,82.787,3.92,224,0.875,bilinear,-87.327,-79.597,-9 tf_efficientnet_lite0,3.080,96.920,22.907,77.093,4.65,224,0.875,bicubic,-87.960,-74.683,-7
hrnet_w18_small,1.573,98.427,18.133,81.867,13.19,224,0.875,bilinear,-87.237,-78.857,-7 skresnet18,3.013,96.987,22.800,77.200,11.96,224,0.875,bicubic,-86.647,-74.430,+13
gluon_resnet18_v1b,1.533,98.467,16.773,83.227,11.69,224,0.875,bicubic,-86.747,-79.867,-6 vgg19_bn,2.947,97.053,23.480,76.520,143.68,224,0.875,bilinear,-87.133,-74.100,+7
vgg11,1.507,98.493,16.213,83.787,132.86,224,0.875,bilinear,-85.053,-80.007,-2 resnet34,2.920,97.080,23.680,76.320,21.80,224,0.875,bilinear,-88.210,-73.940,-13
dla46_c,1.453,98.547,15.280,84.720,1.30,224,0.875,bilinear,-82.107,-79.610,+2 tf_mobilenetv3_large_075,2.867,97.133,21.573,78.427,3.99,224,0.875,bilinear,-86.813,-75.637,+8
regnetx_002,1.320,98.680,15.267,84.733,2.68,224,0.875,bicubic,-84.830,-80.753,-2 hrnet_w18_small_v2,2.720,97.280,23.693,76.307,15.60,224,0.875,bilinear,-88.470,-74.207,-18
tf_mobilenetv3_small_minimal_100,1.040,98.960,11.640,88.360,2.04,224,0.875,bilinear,-80.510,-82.070,+2 gluon_resnet34_v1b,2.667,97.333,21.680,78.320,21.80,224,0.875,bicubic,-88.293,-75.950,-12
resnet18,1.000,99.000,16.253,83.747,11.69,224,0.875,bilinear,-86.400,-80.027,-8 vgg16_bn,2.653,97.347,23.773,76.227,138.37,224,0.875,bilinear,-87.437,-73.597,0
tv_resnet50,0.040,99.960,14.960,85.040,25.56,224,0.875,bilinear,-91.870,-83.100,-60 regnetx_008,2.653,97.347,22.453,77.547,7.26,224,0.875,bicubic,-88.397,-75.257,-15
vgg16,2.640,97.360,20.427,79.573,138.36,224,0.875,bilinear,-85.910,-76.363,+14
resnet18d,2.600,97.400,21.613,78.387,11.71,224,0.875,bicubic,-86.680,-75.537,+6
tv_densenet121,2.560,97.440,22.667,77.333,7.98,224,0.875,bicubic,-88.330,-75.043,-13
repvgg_b0,2.547,97.453,24.013,75.987,15.82,224,0.875,bilinear,-88.883,-73.977,-32
regnetx_006,2.507,97.493,20.653,79.347,6.20,224,0.875,bicubic,-87.843,-76.777,-8
legacy_seresnet18,2.493,97.507,20.080,79.920,11.78,224,0.875,bicubic,-86.387,-76.900,+7
resnet26,2.480,97.520,22.987,77.013,16.00,224,0.875,bicubic,-88.630,-74.753,-24
regnety_002,2.147,97.853,18.880,81.120,3.16,224,0.875,bicubic,-85.233,-77.710,+10
mobilenetv2_100,2.147,97.853,19.907,80.093,3.50,224,0.875,bicubic,-87.453,-77.233,-1
vgg19,2.107,97.893,20.733,79.267,143.67,224,0.875,bilinear,-86.933,-76.137,0
vgg13_bn,2.093,97.907,20.307,79.693,133.05,224,0.875,bilinear,-86.667,-76.663,+3
tf_mobilenetv3_small_100,2.013,97.987,15.867,84.133,2.54,224,0.875,bilinear,-83.177,-79.903,+12
tf_mobilenetv3_small_075,2.000,98.000,14.813,85.187,2.04,224,0.875,bilinear,-81.520,-79.977,+14
regnetx_004,1.960,98.040,19.173,80.827,5.16,224,0.875,bicubic,-86.940,-77.947,-2
tv_resnet34,1.867,98.133,20.000,80.000,21.80,224,0.875,bilinear,-88.073,-77.340,-12
vgg13,1.867,98.133,17.960,82.040,133.05,224,0.875,bilinear,-85.183,-78.360,+4
dla46x_c,1.760,98.240,16.480,83.520,1.07,224,0.875,bilinear,-82.490,-78.790,+8
vgg11_bn,1.720,98.280,18.093,81.907,132.87,224,0.875,bilinear,-85.780,-78.727,-1
tf_mobilenetv3_large_minimal_100,1.627,98.373,17.120,82.880,3.92,224,0.875,bilinear,-87.343,-79.740,-8
dla60x_c,1.613,98.387,18.040,81.960,1.32,224,0.875,bilinear,-84.677,-78.120,+2
vgg11,1.560,98.440,16.227,83.773,132.86,224,0.875,bilinear,-84.990,-80.053,0
gluon_resnet18_v1b,1.547,98.453,16.613,83.387,11.69,224,0.875,bicubic,-86.853,-80.067,-6
hrnet_w18_small,1.533,98.467,18.120,81.880,13.19,224,0.875,bilinear,-87.517,-78.990,-14
dla46_c,1.520,98.480,15.267,84.733,1.30,224,0.875,bilinear,-82.130,-79.653,+2
regnetx_002,1.373,98.627,15.027,84.973,2.68,224,0.875,bicubic,-84.817,-80.953,-2
resnet18,1.160,98.840,16.213,83.787,11.69,224,0.875,bilinear,-86.230,-80.077,-8
tf_mobilenetv3_small_minimal_100,1.013,98.987,11.493,88.507,2.04,224,0.875,bilinear,-80.367,-82.177,+1
tv_resnet50,0.000,100.000,14.453,85.547,25.56,224,0.875,bilinear,-91.880,-83.587,-64

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation top1_diff top5_diff rank_diff
2 tf_efficientnet_l2_ns 84.733 84.760 15.267 15.240 96.107 96.147 3.893 3.853 480.31 800 0.960 bicubic -13.797 -13.790 -3.713 -3.673 0
3 tf_efficientnet_l2_ns_475 83.520 83.373 16.480 16.627 95.453 4.547 480.31 475 0.936 bicubic -15.010 -15.127 -4.387 -4.377 0
4 tf_efficientnet_b7_ns swin_large_patch4_window12_384 67.093 69.627 32.907 30.373 88.640 89.560 11.360 10.440 66.35 196.74 600 384 0.949 1.000 bicubic -30.827 -28.413 -11.080 -10.130 0
5 tf_efficientnet_b6_ns tf_efficientnet_b7_ns 62.293 67.040 37.707 32.960 85.160 88.667 14.840 11.333 43.04 66.35 528 600 0.942 0.949 bicubic -35.337 -30.870 -14.430 -11.053 +1 0
6 dm_nfnet_f6 swin_base_patch4_window12_384 62.253 64.480 37.747 35.520 84.653 87.493 15.347 12.507 438.36 87.90 576 384 0.956 1.000 bicubic -35.487 -33.410 -14.927 -12.217 -1 0
7 dm_nfnet_f5 tf_efficientnet_b6_ns 61.653 62.267 38.347 37.733 84.027 85.173 15.973 14.827 377.21 43.04 544 528 0.954 0.942 bicubic -35.927 -35.363 -15.523 -14.407 +1 +2
8 ig_resnext101_32x48d dm_nfnet_f6 60.853 62.253 39.147 37.747 83.240 84.667 16.760 15.333 828.41 438.36 224 576 0.875 0.956 bilinear bicubic -36.727 -35.477 -16.450 -14.913 +1 -1
9 resnetv2_152x4_bitm dm_nfnet_f5 60.640 61.587 39.360 38.413 83.533 84.027 16.467 15.973 936.53 377.21 480 544 1.000 0.954 bilinear bicubic -36.830 -36.013 -16.067 -15.523 +2
10 dm_nfnet_f4 ig_resnext101_32x48d 60.600 61.013 39.400 38.987 83.453 83.347 16.547 16.653 316.07 828.41 512 224 0.951 0.875 bicubic bilinear -36.980 -36.607 -16.077 -16.353 -3 0
11 tf_efficientnet_b5_ns swin_large_patch4_window7_224 60.280 60.893 39.720 39.107 84.533 85.840 15.467 14.160 30.39 196.53 456 224 0.934 0.900 bicubic -37.220 -36.757 -15.117 -13.740 -1 -3
12 dm_nfnet_f3 resnetv2_152x4_bitm 58.213 60.733 41.787 39.267 82.373 83.600 17.627 16.400 254.92 936.53 416 480 0.940 1.000 bicubic bilinear -39.187 -36.757 -17.217 -16.000 0 +2
13 ig_resnext101_32x32d dm_nfnet_f4 57.960 60.720 42.040 39.280 80.920 83.427 19.080 16.573 468.53 316.07 224 512 0.875 0.951 bilinear bicubic -39.360 -36.850 -18.740 -16.093 0 -1
14 resnetv2_152x2_bitm tf_efficientnet_b5_ns 54.867 60.320 45.133 39.680 82.800 84.493 17.200 15.507 236.34 30.39 480 456 1.000 0.934 bilinear bicubic -42.293 -37.180 -16.780 -15.137 +4 -1
15 vit_base_resnet50_384 dm_nfnet_f3 54.627 58.373 45.373 41.627 81.307 82.360 18.693 17.640 98.95 254.92 384 416 1.000 0.940 bicubic -42.563 -38.987 -18.253 -17.220 +2 0
16 resnetv2_101x3_bitm ig_resnext101_32x32d 53.813 58.093 46.187 41.907 81.107 80.653 18.893 19.347 387.93 468.53 480 224 1.000 0.875 bilinear -43.227 -39.267 -18.413 -19.027 +7 0
17 vit_large_patch16_384 resnetv2_152x2_bitm 53.760 54.973 46.240 45.027 80.347 82.813 19.653 17.187 304.72 236.34 384 480 1.000 bicubic bilinear -43.370 -42.177 -19.293 -16.777 +3 +5
18 ig_resnext101_32x16d vit_base_r50_s16_384 53.520 54.627 46.480 45.373 77.347 81.213 22.653 18.787 194.03 98.95 224 384 0.875 1.000 bilinear bicubic -43.300 -42.553 -22.263 -18.347 +11 +3
19 swsl_resnext101_32x8d vit_large_patch16_384 51.373 53.867 48.627 46.133 78.347 80.320 21.653 19.680 88.79 304.72 224 384 0.875 1.000 bilinear bicubic -45.827 -43.243 -21.193 -19.340 -3 +4
20 tf_efficientnet_b4_ns resnetv2_101x3_bitm 51.067 53.813 48.933 46.187 79.360 81.093 20.640 18.907 19.34 387.93 380 480 0.922 1.000 bicubic bilinear -45.893 -43.237 -20.240 -18.427 +5 +7
21 dm_nfnet_f2 ig_resnext101_32x16d 50.680 53.067 49.320 46.933 78.000 76.907 22.000 23.093 193.78 194.03 352 224 0.920 0.875 bicubic bilinear -46.210 -43.753 -21.450 -22.683 +7 +12
22 vit_base_patch16_384 swin_base_patch4_window7_224 50.533 51.453 49.467 48.547 78.240 79.973 21.760 20.027 86.86 87.77 384 224 1.000 0.900 bicubic -46.207 -45.797 -21.240 -19.557 +10 -5
23 vit_deit_base_distilled_patch16_384 tf_efficientnet_b4_ns 49.280 51.213 50.720 48.787 79.240 79.187 20.760 20.813 87.63 19.34 384 380 1.000 0.922 bicubic -47.680 -45.737 -20.250 -20.393 +3 +8
24 tf_efficientnet_b8 swsl_resnext101_32x8d 48.853 51.187 51.147 48.813 77.213 78.240 22.787 21.760 87.41 88.79 672 224 0.954 0.875 bicubic bilinear -48.377 -46.013 -22.287 -21.330 -10 -6
25 resnest269e dm_nfnet_f2 47.987 50.773 52.013 49.227 74.480 78.013 25.520 21.987 110.93 193.78 416 352 0.928 0.920 bicubic -48.563 -46.187 -24.870 -21.437 +13 +4
26 resnetv2_50x3_bitm vit_base_patch16_384 47.880 50.613 52.120 49.387 77.573 78.200 22.427 21.800 217.32 86.86 480 384 1.000 bilinear bicubic -48.890 -46.087 -21.857 -21.310 +5 +12
27 tf_efficientnet_b8_ap vit_deit_base_distilled_patch16_384 46.880 49.333 53.120 50.667 76.560 79.253 23.440 20.747 87.41 87.63 672 384 0.954 1.000 bicubic -50.220 -47.627 -23.100 -20.227 -5 +3
28 dm_nfnet_f1 tf_efficientnet_b8 46.707 48.947 53.293 51.053 74.840 77.240 25.160 22.760 132.63 87.41 320 672 0.910 0.954 bicubic -50.223 -48.253 -24.540 -22.260 -1 -8
29 swsl_resnext101_32x16d resnest269e 46.147 48.187 53.853 51.813 72.013 74.333 27.987 25.667 194.03 110.93 224 416 0.875 0.928 bilinear bicubic -50.463 -48.333 -27.507 -25.017 +7 +15
30 ecaresnet269d resnetv2_50x3_bitm 45.920 47.787 54.080 52.213 75.253 77.627 24.747 22.373 102.09 217.32 352 480 1.000 bicubic bilinear -51.220 -48.983 -24.207 -21.823 -11 +5
31 tf_efficientnet_b7_ap tf_efficientnet_b8_ap 45.347 46.893 54.653 53.107 74.187 76.507 25.813 23.493 66.35 87.41 600 672 0.949 0.954 bicubic -51.863 -50.217 -25.363 -23.133 -16 -7
32 ig_resnext101_32x8d dm_nfnet_f1 45.173 46.600 54.827 53.400 71.240 74.773 28.760 25.227 88.79 132.63 224 320 0.875 0.910 bilinear bicubic -51.097 -50.320 -28.170 -24.617 +12 0
33 resnest200e swsl_resnext101_32x16d 44.107 46.200 55.893 53.800 73.693 72.200 26.307 27.800 70.20 194.03 320 224 0.909 0.875 bicubic bilinear -52.443 -50.400 -25.627 -27.320 +4 +10
34 tresnet_xl_448 ecaresnet269d 43.533 45.893 56.467 54.107 72.427 75.133 27.573 24.867 78.44 102.09 448 352 0.875 1.000 bilinear bicubic -52.397 -51.187 -26.733 -24.487 +17 -8
35 tf_efficientnet_b7 tf_efficientnet_b7_ap 43.013 45.373 56.987 54.627 73.200 74.213 26.800 25.787 66.35 600 0.949 bicubic -53.997 -51.827 -26.320 -25.327 -11 -16
36 swsl_resnext101_32x4d ig_resnext101_32x8d 41.347 45.320 58.653 54.680 71.480 70.867 28.520 29.133 44.18 88.79 224 0.875 bilinear -55.053 -51.000 -27.970 -28.563 +3 +14
37 tf_efficientnet_b6_ap resnest200e 40.840 44.147 59.160 55.853 71.653 73.467 28.347 26.533 43.04 70.20 528 320 0.942 0.909 bicubic -56.270 -52.463 -27.957 -25.883 -16 +5
38 vit_deit_base_patch16_384 tresnet_xl_448 40.187 43.480 59.813 56.520 70.787 72.453 29.213 27.547 86.86 78.44 384 448 1.000 0.875 bicubic bilinear -55.983 -52.490 -28.353 -26.677 +7 +21
39 tresnet_l_448 tf_efficientnet_b7 40.160 42.960 59.840 57.040 69.987 73.133 30.013 26.867 55.99 66.35 448 600 0.875 0.949 bilinear bicubic -55.690 -54.050 -29.153 -26.387 +16 -11
40 resnetv2_101x1_bitm swsl_resnext101_32x4d 39.360 41.560 60.640 58.440 71.480 71.760 28.520 28.240 44.54 44.18 480 224 1.000 0.875 bilinear -56.730 -54.860 -27.830 -27.710 +9 +5
41 vit_large_patch32_384 tf_efficientnet_b6_ap 38.867 40.800 61.133 59.200 68.813 71.627 31.187 28.373 306.63 43.04 384 528 1.000 0.942 bicubic -56.943 -56.280 -30.337 -27.843 +16 -16
42 resnet200d tresnet_l_448 38.267 40.200 61.733 59.800 68.573 69.893 31.427 30.107 64.69 55.99 320 448 1.000 0.875 bicubic bilinear -58.453 -55.660 -30.767 -29.317 -9 +23
43 seresnet152d vit_deit_base_patch16_384 37.587 40.173 62.413 59.827 69.573 70.760 30.427 29.240 66.84 86.86 320 384 1.000 bicubic -59.223 -55.977 -29.877 -28.380 -13 +10
44 tf_efficientnet_b3_ns resnetv2_101x1_bitm 35.653 39.307 64.347 60.693 67.853 71.493 32.147 28.507 12.23 44.54 300 480 0.904 1.000 bicubic bilinear -60.727 -56.783 -31.487 -27.697 -4 +13
45 vit_large_patch16_224 vit_large_patch32_384 35.600 38.933 64.400 61.067 64.333 68.920 35.667 31.080 304.33 306.63 224 384 0.900 1.000 bicubic -60.340 -56.897 -34.887 -30.230 +5 +22
46 tf_efficientnet_b6 resnet200d 35.253 38.147 64.747 61.853 67.773 68.613 32.227 31.387 43.04 64.69 528 320 0.942 1.000 bicubic -61.437 -58.573 -31.597 -30.717 -12 -10
47 tf_efficientnet_b5_ap eca_nfnet_l1 34.800 38.107 65.200 61.893 67.467 71.293 32.533 28.707 30.39 41.41 456 320 0.934 1.000 bicubic -61.870 -58.593 -32.003 -27.977 -12 -10
48 resnet152d seresnet152d 34.320 37.640 65.680 62.360 65.960 69.480 34.040 30.520 60.21 66.84 320 1.000 bicubic -62.030 -59.130 -33.360 -29.950 -6 -14
49 tresnet_m_448 regnety_160 34.000 36.747 66.000 63.253 64.507 69.107 35.493 30.893 31.39 83.59 448 288 0.875 1.000 bilinear bicubic -60.980 -59.603 -34.483 -30.223 +37 -1
50 vit_base_patch32_384 pit_b_distilled_224 33.640 35.627 66.360 64.373 65.173 69.120 34.827 30.880 88.30 74.79 384 224 1.000 0.900 bicubic -62.180 -61.053 -33.977 -30.230 +6 -11
51 swsl_resnext50_32x4d tf_efficientnet_b3_ns 33.467 35.520 66.533 64.480 65.227 67.773 34.773 32.227 25.03 12.23 224 300 0.875 0.904 bilinear bicubic -62.433 -60.870 -34.023 -31.577 +2 -5
52 ssl_resnext101_32x16d vit_large_patch16_224 32.320 35.493 67.680 64.507 63.720 64.427 36.280 35.573 194.03 304.33 224 0.875 0.900 bilinear bicubic -63.320 -60.457 -35.410 -34.813 +10 +8
53 vit_base_patch16_224 tf_efficientnet_b6 32.187 35.213 67.813 64.787 61.627 67.720 38.373 32.280 86.57 43.04 224 528 0.900 0.942 bicubic -63.173 -61.457 -37.373 -31.650 +18 -12
54 tf_efficientnet_b5 tf_efficientnet_b5_ap 31.867 34.787 68.133 65.213 65.293 67.493 34.707 32.507 30.39 456 0.934 bicubic -64.483 -61.893 -34.077 -31.967 -13 -14
55 resnest101e resnet152d 31.307 34.320 68.693 65.680 64.453 65.907 35.547 34.093 48.28 60.21 256 320 0.875 1.000 bilinear bicubic -64.603 -62.040 -34.727 -33.483 -3 -8
56 dm_nfnet_f0 tresnet_m_448 31.133 34.107 68.867 65.893 63.373 64.493 36.627 35.507 71.49 31.39 256 448 0.900 0.875 bicubic bilinear -65.007 -60.883 -35.867 -34.487 -9 +44
57 swsl_resnet50 vit_base_patch32_384 29.973 33.613 70.027 66.387 64.120 65.240 35.880 34.760 25.56 88.30 224 384 0.875 1.000 bilinear bicubic -65.577 -62.197 -35.140 -33.910 +6 +11
58 vit_deit_base_distilled_patch16_224 pit_b_224 29.453 33.173 70.547 66.827 64.307 62.320 35.693 37.680 87.34 73.76 224 0.900 bicubic -66.657 -62.467 -34.873 -36.340 -10 +16
59 ssl_resnext101_32x8d swsl_resnext50_32x4d 29.240 33.013 70.760 66.987 61.093 65.067 38.907 34.933 88.79 25.03 224 0.875 bilinear -66.200 -62.857 -38.047 -34.183 +9 +5
60 resnet101d ssl_resnext101_32x16d 29.053 32.600 70.947 67.400 62.107 64.000 37.893 36.000 44.57 194.03 320 224 1.000 0.875 bicubic bilinear -67.247 -63.200 -37.133 -35.180 -17 +9
61 resnetv2_50x1_bitm swin_small_patch4_window7_224 27.440 32.600 72.560 67.400 63.533 65.440 36.467 34.560 25.55 49.61 480 224 1.000 0.900 bilinear bicubic -67.590 -63.310 -35.637 -33.580 +21 +1
62 vit_deit_base_patch16_224 vit_base_patch16_224 27.333 32.053 72.667 67.947 58.840 61.573 41.160 38.427 86.57 224 0.900 bicubic -68.107 -63.277 -39.980 -37.427 +7 +22
63 tf_efficientnet_b4_ap tf_efficientnet_b5 26.333 31.840 73.667 68.160 60.067 65.293 39.933 34.707 19.34 30.39 380 456 0.922 0.934 bicubic -69.817 -64.510 -39.183 -34.017 -17 -14
64 tf_efficientnet_b4 resnest101e 26.213 31.413 73.787 68.587 60.267 64.360 39.733 35.640 19.34 48.28 380 256 0.922 0.875 bicubic bilinear -69.657 -64.447 -38.873 -34.760 -10 +2
65 ecaresnet50t dm_nfnet_f0 26.173 31.280 73.827 68.720 59.907 63.347 40.093 36.653 25.57 71.49 320 256 0.950 0.900 bicubic -69.347 -64.860 -39.203 -35.893 -1 -11
66 ecaresnet101d swsl_resnet50 26.053 29.867 73.947 70.133 58.893 63.853 41.107 36.147 44.57 25.56 224 0.875 bicubic bilinear -69.437 -65.543 -40.197 -35.437 0 +17
67 tf_efficientnet_b2_ns vit_deit_base_distilled_patch16_224 24.147 29.600 75.853 70.400 57.000 64.453 43.000 35.547 9.11 87.34 260 224 0.890 0.900 bicubic -71.603 -66.490 -42.150 -34.807 -9 -12
68 ssl_resnext101_32x4d ssl_resnext101_32x8d 24.053 29.040 75.947 70.960 57.387 60.973 42.613 39.027 44.18 88.79 224 0.875 bilinear -71.457 -66.430 -41.673 -38.137 -3 +11
69 pnasnet5large resnet101d 23.547 28.987 76.453 71.013 53.427 62.053 46.573 37.947 86.06 44.57 331 320 0.911 1.000 bicubic -72.143 -67.303 -45.523 -37.177 -9 -18
70 nasnetalarge vit_deit_base_patch16_224 23.480 27.440 76.520 72.560 55.053 58.893 44.947 41.107 88.75 86.57 331 224 0.911 0.900 bicubic -72.210 -68.000 -43.847 -39.947 -9 +12
71 efficientnet_b3 resnetv2_50x1_bitm 23.373 27.347 76.627 72.653 56.467 63.547 43.533 36.453 12.23 25.55 300 480 0.904 1.000 bicubic bilinear -72.047 -67.703 -42.633 -35.613 -1 +24
72 efficientnet_b3a nfnet_l0 23.200 26.493 76.800 73.507 55.960 61.987 44.040 38.013 12.23 35.07 320 288 1.000 bicubic -72.520 -69.597 -43.090 -37.313 -13 -16
73 regnety_032 tf_efficientnet_b4 21.747 26.293 78.253 73.707 55.133 60.107 44.867 39.893 19.44 19.34 224 380 0.875 0.922 bicubic -73.433 -69.607 -44.007 -39.063 +1 -10
74 vit_deit_small_distilled_patch16_224 tf_efficientnet_b4_ap 20.773 26.240 79.227 73.760 55.173 60.227 44.827 39.773 22.44 19.34 224 380 0.900 0.922 bicubic -73.947 -69.920 -43.857 -39.053 +19 -22
75 resnest50d_4s2x40d regnety_032 20.507 26.213 79.493 73.787 52.800 60.987 47.200 39.013 30.42 19.44 224 288 0.875 1.000 bicubic -74.533 -69.757 -46.190 -38.203 +6 -17
76 ssl_resnext50_32x4d ecaresnet50t 20.093 26.133 79.907 73.867 53.573 60.027 46.427 39.973 25.03 25.57 224 320 0.875 0.950 bilinear bicubic -74.837 -69.377 -45.277 -39.093 +14 +2
77 tresnet_xl ecaresnet101d 19.613 26.027 80.387 73.973 52.813 58.987 47.187 41.013 78.44 44.57 224 0.875 bilinear bicubic -75.857 -69.503 -46.327 -40.143 -10 0
78 rexnet_200 eca_nfnet_l0 19.333 25.013 80.667 74.987 52.387 60.360 47.613 39.640 16.37 24.14 224 288 0.875 1.000 bicubic -75.667 -70.917 -46.583 -38.850 +6 -17
79 gluon_senet154 tnt_s_patch16_224 19.293 24.733 80.707 75.267 47.560 58.187 52.440 41.813 115.09 23.76 224 0.875 0.900 bicubic -75.657 -70.307 -51.180 -40.693 +9 +18
80 repvgg_b3 ssl_resnext101_32x4d 19.093 24.173 80.907 75.827 49.787 57.413 50.213 42.587 123.09 44.18 224 0.875 bilinear -75.457 -71.267 -48.963 -41.717 +29 0
81 legacy_senet154 tf_efficientnet_b2_ns 19.080 24.013 80.920 75.987 48.280 57.293 51.720 42.707 115.09 9.11 224 260 0.875 0.890 bilinear bicubic -75.890 -71.757 -50.590 -41.827 +6 -11
82 vit_deit_small_patch16_224 nasnetalarge 18.933 23.493 81.067 76.507 51.080 55.027 48.920 44.973 22.05 88.75 224 331 0.900 0.911 bicubic -75.417 -72.187 -47.590 -43.903 +41 -9
83 gluon_seresnext101_64x4d efficientnet_b3 18.893 23.453 81.107 76.547 49.107 56.587 50.893 43.413 88.23 12.23 224 300 0.875 0.904 bicubic -75.987 -72.127 -49.733 -42.513 +8 -8
84 tf_efficientnet_b1_ns pnasnet5large 18.667 23.333 81.333 76.667 51.613 53.640 48.387 46.360 7.79 86.06 240 331 0.882 0.911 bicubic -76.513 -72.377 -47.467 -45.280 -9 -12
85 ecaresnet50d efficientnet_b3a 18.653 23.213 81.347 76.787 51.893 55.960 48.107 44.040 25.58 12.23 224 320 0.875 1.000 bicubic -75.957 -72.497 -46.947 -43.080 +19 -14
86 seresnext50_32x4d pit_s_distilled_224 18.400 22.360 81.600 77.640 50.987 57.120 49.013 42.880 27.56 24.04 224 0.875 0.900 bicubic -76.680 -72.880 -47.923 -41.930 -7 +1
87 tf_efficientnet_lite4 swin_tiny_patch4_window7_224 17.973 21.173 82.027 78.827 51.240 55.973 48.760 44.027 13.01 28.29 380 224 0.920 0.900 bilinear bicubic -77.007 -73.967 -47.750 -42.877 -2 +2
88 resnest50d_1s4x24d pit_s_224 17.640 21.080 82.360 78.920 49.813 53.573 50.187 46.427 25.68 23.46 224 0.875 0.900 bicubic -77.020 -73.510 -49.187 -45.137 +10 +35
89 tf_efficientnet_b3_ap efficientnet_v2s 17.187 21.013 82.813 78.987 49.867 52.840 50.133 47.160 12.23 23.94 300 224 0.904 1.000 bicubic -78.123 -74.527 -49.073 -46.120 -17 -13
90 resnest50d vit_deit_small_distilled_patch16_224 17.173 20.707 82.827 79.293 50.600 55.133 49.400 44.867 27.48 22.44 224 0.875 0.900 bilinear bicubic -77.497 -74.003 -48.190 -43.897 +6 +23
91 gluon_resnext101_64x4d resnest50d_4s2x40d 17.133 20.387 82.867 79.613 44.400 52.800 55.600 47.200 83.46 30.42 224 0.875 bicubic -77.417 -74.573 -54.240 -46.270 +17 +10
92 gluon_seresnext101_32x4d ssl_resnext50_32x4d 17.133 20.000 82.867 80.000 46.773 53.613 53.227 46.387 48.96 25.03 224 0.875 bicubic bilinear -77.807 -74.870 -51.957 -45.267 -3 +15
93 inception_v4 tresnet_xl 17.133 19.640 82.867 80.360 45.853 53.133 54.147 46.867 42.68 78.44 299 224 0.875 bicubic bilinear -77.227 -75.800 -52.707 -45.917 +29 -12
94 xception71 gluon_senet154 17.027 19.307 82.973 80.693 45.427 47.533 54.573 52.467 42.34 115.09 299 224 0.903 0.875 bicubic -77.253 -75.613 -53.193 -51.227 +36 +10
95 tf_efficientnet_b3 rexnet_200 16.907 19.227 83.093 80.773 49.707 52.720 50.293 47.280 12.23 16.37 300 224 0.904 0.875 bicubic -78.113 -75.713 -49.193 -46.290 -12 +7
96 inception_resnet_v2 repvgg_b3 16.720 19.107 83.280 80.893 44.893 50.253 55.107 49.747 55.84 123.09 299 224 0.897 0.875 bicubic bilinear -77.770 -75.463 -54.057 -48.527 +16 +28
97 tresnet_l legacy_senet154 16.680 19.053 83.320 80.947 50.040 47.947 49.960 52.053 55.99 115.09 224 0.875 bilinear -78.500 -76.017 -48.970 -50.883 -21 -3
98 wide_resnet50_2 vit_deit_small_patch16_224 16.653 18.907 83.347 81.093 48.787 51.413 51.213 48.587 68.88 22.05 224 0.875 0.900 bicubic -78.387 -75.493 -50.303 -47.277 -18 +39
99 gluon_resnet152_v1d gluon_seresnext101_64x4d 16.600 18.907 83.400 81.093 44.520 49.187 55.480 50.813 60.21 88.23 224 0.875 bicubic -78.060 -76.023 -54.260 -49.643 -2 +5
100 gluon_resnet152_v1s tf_efficientnet_b1_ns 16.587 18.693 83.413 81.307 44.693 51.667 55.307 48.333 60.32 7.79 224 240 0.875 0.882 bicubic -78.523 -76.477 -54.237 -47.443 -23 -12
101 gernet_l seresnext50_32x4d 16.360 18.360 83.640 81.640 47.333 50.973 52.667 49.027 31.08 27.56 256 224 0.875 bilinear bicubic -78.830 -76.680 -51.537 -47.957 -28 -5
102 gluon_xception65 ecaresnet50d 16.333 18.227 83.667 81.773 46.147 51.880 53.853 48.120 39.92 25.58 299 224 0.903 0.875 bicubic -77.917 -76.403 -52.443 -47.010 +30 +15
103 ens_adv_inception_resnet_v2 tf_efficientnet_lite4 16.133 18.133 83.867 81.867 43.627 50.707 56.373 49.293 55.84 13.01 299 380 0.897 0.920 bicubic bilinear -78.027 -76.757 -54.893 -48.313 +39 +3
104 xception65 resnest50d_1s4x24d 16.040 17.693 83.960 82.307 43.787 49.800 56.213 50.200 39.92 25.68 299 224 0.903 0.875 bicubic -77.720 -77.057 -54.563 -49.180 +63 +6
105 repvgg_b3g4 gluon_seresnext101_32x4d 15.960 17.373 84.040 82.627 48.013 46.373 51.987 53.627 83.83 48.96 224 0.875 bilinear bicubic -78.530 -77.547 -50.757 -52.437 +6 0
106 ssl_resnet50 resnest50d 15.867 17.373 84.133 82.627 49.360 50.707 50.640 49.293 25.56 27.48 224 0.875 bilinear -78.563 -77.457 -49.510 -48.173 +11 +2
107 ecaresnet101d_pruned efficientnet_el 15.507 17.347 84.493 82.653 47.813 49.987 52.187 50.013 24.88 10.59 224 300 0.875 0.904 bicubic -79.573 -77.773 -51.147 -49.003 -29 -17
108 ecaresnet26t inception_v4 15.453 17.267 84.547 82.733 47.853 45.920 52.147 54.080 16.01 42.68 320 299 0.950 0.875 bicubic -78.867 -77.113 -50.857 -52.660 +19 +31
109 regnety_320 tf_efficientnet_b3_ap 15.440 17.187 84.560 82.813 44.800 49.680 55.200 50.320 145.05 12.23 224 300 0.875 0.904 bicubic -79.170 -78.133 -54.070 -49.220 -6 -24
110 skresnext50_32x4d tf_efficientnet_b3 15.107 17.000 84.893 83.000 44.747 49.267 55.253 50.733 27.48 12.23 224 300 0.875 0.904 bicubic -79.093 -78.010 -53.713 -49.643 +26 -11
111 ecaresnetlight xception71 15.107 17.000 84.893 83.000 45.827 45.520 54.173 54.480 30.16 42.34 224 299 0.875 0.903 bicubic -79.583 -77.280 -52.973 -53.120 -16 +34
112 rexnet_150 gluon_resnext101_64x4d 14.800 16.853 85.200 83.147 46.693 44.213 53.307 55.787 9.73 83.46 224 0.875 bicubic -79.600 -77.817 -51.917 -54.437 +9 +3
113 efficientnet_b2a tresnet_l 14.400 16.600 85.600 83.400 46.107 49.920 53.893 50.080 9.11 55.99 288 224 1.000 0.875 bicubic bilinear -80.220 -78.690 -52.673 -49.090 -11 -27
114 seresnet50 gluon_resnet152_v1d 14.360 16.573 85.640 83.427 45.613 44.280 54.387 55.720 28.09 60.21 224 0.875 bicubic -80.140 -78.167 -53.097 -54.460 -4 -3
115 legacy_seresnext101_32x4d gluon_resnet152_v1s 14.307 16.573 85.693 83.427 43.200 44.533 56.800 55.467 48.96 60.32 224 0.875 bilinear bicubic -80.123 -78.467 -55.380 -54.297 0 -17
116 gluon_resnext101_32x4d inception_resnet_v2 14.080 16.573 85.920 83.427 41.893 44.960 58.107 55.040 44.18 55.84 224 299 0.875 0.897 bicubic -80.550 -77.967 -56.737 -53.830 -16 +10
117 gernet_m gluon_xception65 13.827 16.440 86.173 83.560 46.067 46.027 53.933 53.973 21.14 39.92 224 299 0.875 0.903 bilinear bicubic -80.843 -77.820 -52.773 -52.543 -22 +29
118 efficientnet_b2 gernet_l 13.627 16.373 86.373 83.627 44.840 47.213 55.160 52.787 9.11 31.08 260 256 0.875 bicubic bilinear -80.933 -78.717 -53.880 -51.687 -11 -27
119 gluon_seresnext50_32x4d wide_resnet50_2 13.507 16.280 86.493 83.720 43.773 48.347 56.227 51.653 27.56 68.88 224 0.875 bicubic -80.803 -78.800 -54.817 -50.623 +9 -26
120 ese_vovnet39b ens_adv_inception_resnet_v2 13.360 16.240 86.640 83.760 43.760 43.640 56.240 56.360 24.57 55.84 224 299 0.875 0.897 bicubic -80.800 -77.920 -54.780 -54.960 +24 +37
121 repvgg_b2g4 repvgg_b3g4 13.360 16.213 86.640 83.787 43.667 47.653 56.333 52.347 61.76 83.83 224 0.875 bilinear -80.560 -78.307 -54.933 -51.317 +36 +8
122 mixnet_xl xception65 13.253 16.027 86.747 83.973 43.440 43.773 56.560 56.227 11.90 39.92 224 299 0.875 0.903 bicubic -80.937 -77.733 -54.910 -54.597 +16 +62
123 efficientnet_b3_pruned ssl_resnet50 13.213 15.960 86.787 84.040 45.347 49.467 54.653 50.533 9.86 25.56 300 224 0.904 0.875 bicubic bilinear -81.417 -78.490 -53.423 -49.453 -24 +12
124 nf_regnet_b1 regnety_320 13.107 15.627 86.893 84.373 44.360 44.827 55.640 55.173 10.22 145.05 288 224 0.900 0.875 bicubic -81.033 -78.913 -54.240 -54.023 +21 +3
125 gluon_resnet101_v1d ecaresnet101d_pruned 13.093 15.600 86.907 84.400 41.573 48.027 58.427 51.973 44.57 24.88 224 0.875 bicubic -81.177 -79.480 -57.067 -50.953 +6 -33
126 regnetx_320 ecaresnet26t 12.907 15.467 87.093 84.533 40.547 47.920 59.453 52.080 107.81 16.01 224 320 0.875 0.950 bicubic -81.433 -78.843 -58.263 -50.800 -2 +18
127 gluon_inception_v3 skresnext50_32x4d 12.627 15.373 87.373 84.627 40.387 44.493 59.613 55.507 23.83 27.48 299 224 0.875 bicubic -80.833 -78.887 -58.213 -53.967 +57 +21
128 regnety_160 ecaresnetlight 12.600 15.160 87.400 84.840 41.400 45.827 58.600 54.173 83.59 30.16 224 0.875 bicubic -81.810 -79.610 -57.480 -52.973 -9 -19
129 regnety_120 rexnet_150 12.440 14.720 87.560 85.280 42.147 46.907 57.853 53.093 51.82 9.73 224 0.875 bicubic -81.990 -79.760 -56.723 -51.883 -13 +4
130 efficientnet_em efficientnet_el_pruned 12.387 14.480 87.613 85.520 43.907 46.120 56.093 53.880 6.90 10.59 240 300 0.882 0.904 bicubic -81.513 -79.920 -54.633 -52.620 +29 +7
131 nf_resnet50 efficientnet_b2a 12.360 14.440 87.640 85.560 46.747 46.080 53.253 53.920 25.56 9.11 288 0.940 1.000 bicubic -82.260 -80.170 -51.983 -52.630 -30 -10
132 tresnet_m legacy_seresnext101_32x4d 12.293 14.147 87.707 85.853 42.173 42.973 57.827 57.027 31.39 48.96 224 0.875 bilinear -82.307 -80.223 -56.387 -55.677 -27 +8
133 vit_small_patch16_224 seresnet50 12.093 14.147 87.907 85.853 40.213 45.467 59.787 54.533 48.75 28.09 224 0.900 0.875 bicubic -80.637 -80.403 -57.707 -53.283 +89 -8
134 hrnet_w64 gernet_m 11.987 14.013 88.013 85.987 40.973 46.067 59.027 53.933 128.06 21.14 224 0.875 bilinear -82.043 -80.607 -57.517 -52.483 +15 -14
135 cspdarknet53 gluon_resnext101_32x4d 11.947 13.867 88.053 86.133 43.147 41.653 56.853 58.347 27.64 44.18 256 224 0.887 0.875 bilinear bicubic -82.643 -80.663 -55.633 -56.977 -29 -7
136 gluon_resnet101_v1s gluon_seresnext50_32x4d 11.920 13.600 88.080 86.400 40.493 43.760 59.507 56.240 44.67 27.56 224 0.875 bicubic -82.830 -80.740 -58.397 -54.850 -44 +6
137 resnet50d repvgg_b2g4 11.760 13.440 88.240 86.560 42.560 43.787 57.440 56.213 25.58 61.76 224 0.875 bicubic bilinear -82.580 -80.420 -56.170 -54.803 -12 +40
138 xception41 ese_vovnet39b 11.653 13.320 88.347 86.680 39.107 43.813 60.893 56.187 26.97 24.57 299 224 0.903 0.875 bicubic -81.807 -80.770 -59.303 -54.847 +47 +27
139 dla102x2 efficientnet_b2 11.547 13.307 88.453 86.693 41.080 44.440 58.920 55.560 41.28 9.11 224 260 0.875 bilinear bicubic -82.393 -81.393 -57.480 -54.230 +14 -25
140 regnety_080 regnetx_320 11.453 13.307 88.547 86.693 40.880 40.720 59.120 59.280 39.18 107.81 224 0.875 bicubic -82.707 -81.153 -57.750 -58.020 0 -6
141 efficientnet_b2_pruned pit_xs_distilled_224 11.360 13.240 88.640 86.760 41.867 44.573 58.133 55.427 8.31 11.00 260 224 0.890 0.900 bicubic -82.730 -80.570 -56.653 -54.097 +7 +40
142 dpn92 efficientnet_b3_pruned 11.253 13.173 88.747 86.827 40.293 45.213 59.707 54.787 37.67 9.86 224 300 0.875 0.904 bicubic -82.957 -81.457 -58.437 -53.547 -6 -24
143 ecaresnet50d_pruned gluon_resnet101_v1d 11.253 13.160 88.747 86.840 42.160 41.493 57.840 58.507 19.94 44.57 224 0.875 bicubic -83.027 -81.060 -56.630 -57.237 -14 +8
144 tf_efficientnet_el mixnet_xl 11.200 13.120 88.800 86.880 42.200 43.253 57.800 56.747 10.59 11.90 300 224 0.904 0.875 bicubic -83.220 -81.070 -56.550 -55.087 -26 +10
145 adv_inception_v3 nf_regnet_b1 11.040 13.027 88.960 86.973 36.840 44.413 63.160 55.587 23.83 10.22 299 288 0.875 0.900 bicubic -81.850 -81.103 -61.330 -54.157 +68 +16
146 dpn107 pit_xs_224 11.027 12.813 88.973 87.187 38.667 42.840 61.333 57.160 86.92 10.62 224 0.875 0.900 bicubic -83.303 -80.297 -59.863 -55.470 -20 +78
147 hrnet_w48 gluon_inception_v3 11.027 12.640 88.973 87.360 40.693 40.493 59.307 59.507 77.47 23.83 224 299 0.875 bilinear bicubic -82.803 -80.820 -57.937 -58.077 +17 +56
148 tf_inception_v3 tresnet_m 10.920 12.600 89.080 87.400 37.027 41.893 62.973 58.107 23.83 31.39 299 224 0.875 bicubic bilinear -82.350 -82.020 -61.023 -56.967 +50 -29
149 tf_efficientnet_b0_ns regnety_120 10.880 12.427 89.120 87.573 40.307 42.200 59.693 57.800 5.29 51.82 224 0.875 bicubic -82.640 -82.053 -58.313 -56.610 +32 -17
150 gluon_resnet152_v1c efficientnet_em 10.800 12.360 89.200 87.640 37.067 43.880 62.933 56.120 60.21 6.90 224 240 0.875 0.882 bicubic -83.380 -81.480 -61.573 -54.930 -11 +28
151 resnext50_32x4d nf_resnet50 10.787 12.320 89.213 87.680 40.667 46.760 59.333 53.240 25.03 25.56 224 288 0.875 0.940 bicubic -83.223 -82.270 -57.723 -52.050 -1 -29
152 rexnet_130 vit_small_patch16_224 10.720 12.147 89.280 87.853 41.560 40.320 58.440 59.680 7.56 48.75 224 0.875 0.900 bicubic -83.120 -80.613 -56.840 -57.610 +11 +88
153 dpn131 hrnet_w64 10.640 12.027 89.360 87.973 37.440 40.787 62.560 59.213 79.25 128.06 224 0.875 bicubic bilinear -83.240 -81.983 -61.300 -57.823 +7 +15
154 hrnet_w44 cspdarknet53 10.547 12.013 89.453 87.987 39.467 43.253 60.533 56.747 67.06 27.64 224 256 0.875 0.887 bilinear -83.113 -82.647 -59.223 -55.547 +20 -38
155 tf_efficientnet_b2_ap gluon_resnet101_v1s 10.493 11.880 89.507 88.120 39.813 40.973 60.187 59.027 9.11 44.67 260 224 0.890 0.875 bicubic -83.967 -82.840 -58.827 -57.847 -42 -43
156 resnext50d_32x4d resnet50d 10.480 11.693 89.520 88.307 39.907 42.453 60.093 57.547 25.05 25.58 224 0.875 bicubic -83.680 -82.567 -58.783 -56.267 -15 -9
157 legacy_seresnext50_32x4d dpn92 10.347 11.627 89.653 88.373 39.027 40.267 60.973 59.733 27.56 37.67 224 0.875 bilinear bicubic -83.393 -82.603 -59.483 -58.463 +12 -7
158 regnety_064 xception41 10.227 11.600 89.773 88.400 39.320 39.133 60.680 60.867 30.58 26.97 224 299 0.875 0.903 bicubic -84.003 -81.830 -59.430 -59.297 -24 +48
159 dpn98 dla102x2 10.147 11.573 89.853 88.427 36.587 41.293 63.413 58.707 61.57 41.28 224 0.875 bicubic bilinear -83.953 -82.377 -61.993 -57.197 -12 +11
160 xception regnety_080 10.133 11.413 89.867 88.587 38.013 40.613 61.987 59.387 22.86 39.18 299 224 0.897 0.875 bicubic -83.247 -82.757 -60.507 -58.067 +32 -4
161 gluon_resnet152_v1b efficientnet_b2_pruned 10.120 11.360 89.880 88.640 35.853 42.027 64.147 57.973 60.19 8.31 224 260 0.875 0.890 bicubic -84.040 -82.780 -62.847 -56.503 -18 -1
162 resnext101_32x8d tf_efficientnet_el 10.027 11.333 89.973 88.667 37.720 42.040 62.280 57.960 88.79 10.59 224 300 0.875 0.904 bilinear bicubic -83.833 -83.077 -60.930 -56.670 0 -26
163 regnetx_160 gluon_resnet152_v1c 9.973 11.093 90.027 88.907 38.120 37.120 61.880 62.880 54.28 60.21 224 0.875 bicubic -84.247 -83.067 -60.680 -61.520 -28 -5
164 cspresnext50 dpn107 9.920 11.080 90.080 88.920 40.267 38.693 59.733 61.307 20.57 86.92 224 0.875 bilinear bicubic -84.520 -83.230 -58.453 -59.787 -50 -21
165 inception_v3 hrnet_w48 9.920 11.080 90.080 88.920 35.320 40.320 64.680 59.680 23.83 77.47 299 224 0.875 bicubic bilinear -82.790 -82.840 -62.640 -58.290 +58 +6
166 dpn68b ecaresnet50d_pruned 9.813 11.027 90.187 88.973 38.213 41.947 61.787 58.053 12.61 19.94 224 0.875 bicubic -83.787 -83.193 -60.297 -56.603 +11 -14
167 res2net101_26w_4s adv_inception_v3 9.707 11.013 90.293 88.987 35.027 36.720 64.973 63.280 45.21 23.83 224 299 0.875 bilinear bicubic -83.943 -81.867 -63.373 -61.420 +9 +67
168 tf_efficientnet_b2 tf_efficientnet_b0_ns 9.667 10.933 90.333 89.067 39.000 40.067 61.000 59.933 9.11 5.29 260 224 0.890 0.875 bicubic -84.733 -82.697 -59.820 -58.573 -48 +25
169 tf_efficientnet_cc_b1_8e tf_inception_v3 9.573 10.840 90.427 89.160 36.880 36.853 63.120 63.147 39.72 23.83 240 299 0.882 0.875 bicubic -84.387 -82.480 -61.360 -61.177 -17 +43
170 legacy_seresnet152 resnext50_32x4d 9.507 10.800 90.493 89.200 37.400 40.307 62.600 59.693 66.82 25.03 224 0.875 bilinear bicubic -83.823 -83.300 -60.980 -58.043 +24 -6
171 tf_efficientnet_lite3 dpn131 9.373 10.787 90.627 89.213 39.267 37.200 60.733 62.800 8.20 79.25 300 224 0.904 0.875 bilinear bicubic -84.867 -83.223 -59.363 -61.520 -38 -4
172 cspresnet50 tf_efficientnet_b2_ap 9.213 10.533 90.787 89.467 39.747 40.107 60.253 59.893 21.62 9.11 256 260 0.887 0.890 bilinear bicubic -84.537 -83.957 -58.923 -58.513 -4 -42
173 gluon_resnext50_32x4d resnext50d_32x4d 9.173 10.413 90.827 89.587 36.613 39.733 63.387 60.267 25.03 25.05 224 0.875 bicubic -84.547 -83.767 -61.857 -58.837 -3 -18
174 seresnext26d_32x4d rexnet_130 9.160 10.400 90.840 89.600 37.000 41.547 63.000 58.453 16.81 7.56 224 0.875 bicubic -83.520 -83.500 -61.130 -56.713 +53 -1
175 efficientnet_b1 hrnet_w44 9.147 10.320 90.853 89.680 37.360 39.507 62.640 60.493 7.79 67.06 240 224 0.875 bicubic bilinear -84.103 -83.230 -60.810 -59.193 +24 +21
176 hrnet_w40 resnext101_32x8d 9.120 10.187 90.880 89.813 37.147 37.827 62.853 62.173 57.56 88.79 224 0.875 bilinear -84.330 -83.643 -61.423 -60.753 +10 +3
177 seresnext26t_32x4d regnetx_160 9.040 10.147 90.960 89.853 36.813 38.000 63.187 62.000 16.81 54.28 224 0.875 bicubic -83.660 -83.973 -61.567 -60.750 +47 -14
178 rexnet_100 dpn98 9.027 10.133 90.973 89.867 36.533 36.587 63.467 63.413 4.80 61.57 224 0.875 bicubic -84.053 -83.997 -61.617 -62.043 +28 -16
179 regnetx_120 cspresnext50 9.013 10.120 90.987 89.880 37.173 40.373 62.827 59.627 46.11 20.57 224 0.875 bicubic bilinear -85.107 -84.360 -61.567 -58.307 -33 -48
180 resnest26d legacy_seresnext50_32x4d 8.880 10.107 91.120 89.893 37.853 39.200 62.147 60.800 17.07 27.56 224 0.875 bilinear -84.560 -83.623 -60.847 -59.380 +8
181 regnety_040 inception_v3 8.787 10.027 91.213 89.973 36.707 35.227 63.293 64.773 20.65 23.83 224 299 0.875 bicubic -85.143 -82.693 -61.983 -62.743 -26 +63
182 legacy_seresnet101 xception 8.733 9.987 91.267 90.013 35.840 38.027 64.160 61.973 49.33 22.86 224 299 0.875 0.897 bilinear bicubic -84.547 -83.473 -62.630 -60.503 +15 +22
183 mixnet_l regnety_064 8.693 9.947 91.307 90.053 36.333 39.067 63.667 60.933 7.33 30.58 224 0.875 bicubic -84.747 -84.203 -62.267 -59.663 +6 -24
184 hrnet_w30 dpn68b 8.587 9.787 91.413 90.213 37.453 38.053 62.547 61.947 37.71 12.61 224 0.875 bilinear bicubic -84.543 -83.903 -60.947 -60.457 +20 +6
185 tf_efficientnet_b1_ap gluon_resnet152_v1b 8.520 9.747 91.480 90.253 35.213 36.067 64.787 63.933 7.79 60.19 240 224 0.882 0.875 bicubic -85.180 -84.333 -63.157 -62.383 -12 -19
186 repvgg_b2 tf_efficientnet_lite3 8.440 9.667 91.560 90.333 36.320 39.000 63.680 61.000 89.02 8.20 224 300 0.875 0.904 bilinear -85.000 -84.533 -61.950 -59.640 +1 -33
187 dla169 tf_efficientnet_b2 8.360 9.653 91.640 90.347 36.040 38.880 63.960 61.120 53.39 9.11 224 260 0.875 0.890 bilinear bicubic -85.030 -84.707 -62.510 -59.730 +4 -46
188 resnetblur50 tf_efficientnet_cc_b1_8e 8.200 9.573 91.800 90.427 36.920 36.773 63.080 63.227 25.56 39.72 224 240 0.875 0.882 bicubic -85.780 -84.327 -61.600 -61.627 -37 -16
189 dla102x res2net101_26w_4s 8.187 9.520 91.813 90.480 36.907 35.027 63.093 64.973 26.31 45.21 224 0.875 bilinear -85.373 -84.230 -61.653 -63.353 -11 -4
190 hrnet_w32 legacy_seresnet152 8.120 9.347 91.880 90.653 37.507 37.413 62.493 62.587 41.23 66.82 224 0.875 bilinear -85.350 -84.053 -60.883 -60.937 -7 +18
191 res2net50_26w_8s cspresnet50 8.053 9.253 91.947 90.747 34.093 39.640 65.907 60.360 48.40 21.62 224 256 0.875 0.887 bilinear -85.597 -84.487 -64.177 -59.000 -16 -4
192 gluon_resnet101_v1c hrnet_w40 8.000 9.227 92.000 90.773 32.853 36.893 67.147 63.107 44.57 57.56 224 0.875 bicubic bilinear -85.790 -84.263 -65.547 -61.687 -27 +10
193 gluon_resnet50_v1d regnetx_120 7.947 9.187 92.053 90.813 35.093 37.200 64.907 62.800 25.58 46.11 224 0.875 bicubic -85.763 -85.053 -63.297 -61.450 -22 -44
194 vit_deit_tiny_distilled_patch16_224 seresnext26d_32x4d 7.853 9.147 92.147 90.853 33.747 36.840 66.253 63.160 5.91 16.81 224 0.900 0.875 bicubic -82.817 -83.553 -63.813 -61.310 +86 +51
195 dla60_res2next efficientnet_b1 7.827 9.120 92.173 90.880 34.773 37.360 65.227 62.640 17.03 7.79 224 240 0.875 bilinear bicubic -85.343 -84.140 -63.657 -60.810 +7 +22
196 densenetblur121d resnest26d 7.600 9.080 92.400 90.920 34.173 37.853 65.827 62.147 8.00 17.07 224 0.875 bicubic bilinear -84.150 -84.250 -63.927 -60.777 +61 +15
197 dla60_res2net regnety_040 7.573 9.000 92.427 91.000 34.733 37.053 65.267 62.947 20.85 20.65 224 0.875 bilinear bicubic -85.617 -84.860 -63.657 -61.597 +4 -21
198 wide_resnet101_2 gluon_resnext50_32x4d 7.560 8.947 92.440 91.053 34.493 36.333 65.507 63.667 126.89 25.03 224 0.875 bilinear bicubic -86.320 -84.863 -64.077 -62.077 -37 -18
199 efficientnet_b1_pruned rexnet_100 7.480 8.893 92.520 91.107 34.467 36.373 65.533 63.627 6.33 4.80 240 224 0.882 0.875 bicubic -85.280 -84.137 -63.573 -62.017 +22 +27
200 regnetx_064 seresnext26t_32x4d 7.427 8.893 92.573 91.107 34.120 36.907 65.880 63.093 26.21 16.81 224 0.875 bicubic -86.513 -83.927 -64.550 -61.463 -46 +37
201 gluon_resnet101_v1b mixnet_l 7.320 8.853 92.680 91.147 32.627 36.187 67.373 63.813 44.55 7.33 224 0.875 bicubic -86.440 -84.597 -65.843 -62.033 -35 +4
202 vit_deit_tiny_patch16_224 dla169 7.240 8.640 92.760 91.360 30.707 36.040 69.293 63.960 5.72 53.39 224 0.900 0.875 bicubic bilinear -82.410 -84.700 -66.733 -62.560 +89 +7
203 gluon_resnet50_v1s hrnet_w30 7.147 8.613 92.853 91.387 33.267 37.040 66.733 62.960 25.68 37.71 224 0.875 bicubic bilinear -86.553 -84.587 -65.203 -61.370 -31 +15
204 tf_efficientnet_cc_b0_8e legacy_seresnet101 7.133 8.533 92.867 91.467 31.800 36.013 68.200 63.987 24.01 49.33 224 0.875 bicubic bilinear -85.687 -84.747 -66.460 -62.497 +12
205 tf_efficientnet_b1 tf_efficientnet_b1_ap 7.093 8.453 92.907 91.547 33.027 35.253 66.973 64.747 7.79 240 0.882 bicubic -86.397 -85.237 -65.313 -63.107 -23 -14
206 efficientnet_b0 repvgg_b2 7.000 8.427 93.000 91.573 34.213 36.467 65.787 63.533 5.29 89.02 224 0.875 bicubic bilinear -85.550 -85.073 -63.867 -62.263 +27 -6
207 tf_mixnet_l resnetblur50 6.947 8.240 93.053 91.760 31.800 37.400 68.200 62.600 7.33 25.56 224 0.875 bicubic -86.413 -85.720 -66.240 -61.190 -14 -38
208 ese_vovnet19b_dw dla102x 6.827 8.200 93.173 91.800 33.093 37.013 66.907 62.987 6.54 26.31 224 0.875 bicubic bilinear -85.473 -85.320 -64.987 -61.497 +33 -9
209 res2net50_26w_6s hrnet_w32 6.787 8.040 93.213 91.960 31.907 37.507 68.093 62.493 37.05 41.23 224 0.875 bilinear -86.743 -85.490 -66.523 -60.943 -29 -11
210 resnet34d res2net50_26w_8s 6.733 8.000 93.267 92.000 31.760 33.853 68.240 66.147 21.82 48.40 224 0.875 bicubic bilinear -86.037 -85.540 -66.500 -64.407 +9 -13
211 selecsls60b gluon_resnet101_v1c 6.693 7.987 93.307 92.013 33.453 33.360 66.547 66.640 32.77 44.57 224 0.875 bicubic -86.607 -85.683 -64.857 -65.060 -15 -19
212 mixnet_m gluon_resnet50_v1d 6.667 7.920 93.333 92.080 32.200 35.000 67.800 65.000 5.01 25.58 224 0.875 bicubic -85.783 -85.850 -65.670 -63.390 +25 -29
213 efficientnet_es dla60_res2next 6.627 7.787 93.373 92.213 34.333 34.987 65.667 65.013 5.44 17.03 224 0.875 bicubic bilinear -86.443 -85.393 -64.147 -63.423 -6 +7
214 skresnet34 densenetblur121d 6.627 7.720 93.373 92.280 31.560 34.733 68.440 65.267 22.28 8.00 224 0.875 bicubic -85.783 -84.190 -66.660 -63.337 +24 +62
215 legacy_seresnext26_32x4d vit_deit_tiny_distilled_patch16_224 6.600 7.707 93.400 92.293 33.253 33.560 66.747 66.440 16.79 5.91 224 0.875 0.900 bicubic -85.920 -82.993 -64.897 -64.010 +19 +91
216 dla60x dla60_res2net 6.560 7.560 93.440 92.440 33.680 34.627 66.320 65.373 17.35 20.85 224 0.875 bilinear -86.570 -85.620 -64.840 -63.793 -13 +3
217 repvgg_b1 efficientnet_b1_pruned 6.547 7.440 93.453 92.560 33.760 34.533 66.240 65.467 57.42 6.33 224 240 0.875 0.882 bilinear bicubic -86.863 -85.330 -64.770 -63.507 -27 +22
218 regnetx_080 wide_resnet101_2 6.347 7.360 93.653 92.640 32.253 34.147 67.747 65.853 39.57 126.89 224 0.875 bicubic bilinear -87.553 -86.360 -66.567 -64.393 -60 -29
219 tv_resnet152 regnetx_064 6.240 7.333 93.760 92.667 32.440 34.373 67.560 65.627 60.19 26.21 224 0.875 bilinear bicubic -87.090 -86.557 -65.930 -64.257 -24 -45
220 legacy_seresnet50 vit_deit_tiny_patch16_224 6.213 7.307 93.787 92.693 32.760 30.707 67.240 69.293 28.09 5.72 224 0.875 0.900 bilinear bicubic -86.797 -82.363 -65.420 -66.743 -10 +98
221 swsl_resnet18 hardcorenas_e 6.120 7.240 93.880 92.760 31.680 33.293 68.320 66.707 11.69 8.07 224 0.875 bilinear -84.650 -85.330 -66.090 -64.817 +58 +31
222 tf_efficientnet_cc_b0_4e gluon_resnet101_v1b 6.027 7.227 93.973 92.773 29.587 32.773 70.413 67.227 13.31 44.55 224 0.875 bicubic -86.533 -86.523 -68.553 -65.537 +10 -36
223 dla102 efficientnet_b0 6.000 7.213 94.000 92.787 32.867 34.013 67.133 65.987 33.27 5.29 224 0.875 bilinear bicubic -87.090 -85.477 -65.623 -64.057 -18 +23
224 res2next50 gluon_resnet50_v1s 5.907 7.213 94.093 92.787 30.827 33.507 69.173 66.493 24.67 25.68 224 0.875 bilinear bicubic -86.983 -86.407 -67.363 -64.953 -10 -30
225 resnet50 tf_mixnet_l 5.867 7.147 94.133 92.853 28.893 31.613 71.107 68.387 25.56 7.33 224 0.875 bicubic -88.063 -86.163 -69.447 -66.417 -69 -12
226 regnetx_040 tf_efficientnet_b1 5.667 7.133 94.333 92.867 31.653 33.040 68.347 66.960 22.12 7.79 224 240 0.875 0.882 bicubic -87.883 -86.367 -66.807 -65.320 -47 -25
227 selecsls60 tf_efficientnet_cc_b0_8e 5.613 7.120 94.387 92.880 32.427 31.787 67.573 68.213 30.67 24.01 224 0.875 bicubic -87.347 -85.710 -65.793 -66.393 -16 +9
228 regnety_016 hardcorenas_f 5.453 6.827 94.547 93.173 30.507 34.093 69.493 65.907 11.20 8.20 224 0.875 bicubic bilinear -87.797 -86.123 -67.893 -64.067 -28 +4
229 hrnet_w18 ese_vovnet19b_dw 5.440 6.733 94.560 93.267 31.160 33.413 68.840 66.587 21.30 6.54 224 0.875 bilinear bicubic -86.880 -85.557 -67.150 -64.677 +11 +34
230 resnest14d selecsls60b 5.400 6.733 94.600 93.267 28.747 33.267 71.253 66.733 10.61 32.77 224 0.875 bilinear bicubic -86.130 -86.567 -69.203 -65.013 +29 -16
231 tf_efficientnet_em efficientnet_es 5.400 6.707 94.600 93.293 31.133 33.840 68.867 66.160 6.90 5.44 240 224 0.882 0.875 bicubic -87.540 -86.433 -67.057 -64.580 -19 -10
232 res2net50_14w_8s res2net50_26w_6s 5.347 6.693 94.653 93.307 28.960 31.653 71.040 68.347 25.06 37.05 224 0.875 bilinear -87.453 -86.717 -69.210 -66.627 -14 -25
233 tf_efficientnet_lite2 legacy_seresnext26_32x4d 5.320 6.627 94.680 93.373 30.893 33.253 69.107 66.747 6.09 16.79 260 224 0.890 0.875 bicubic -87.370 -86.013 -67.327 -64.877 -8 +16
234 repvgg_b1g4 mixnet_m 5.253 6.627 94.747 93.373 30.733 32.053 69.267 67.947 39.97 5.01 224 0.875 bilinear bicubic -87.567 -85.803 -67.647 -65.817 -19 +23
235 tf_efficientnet_b0_ap pit_ti_distilled_224 5.240 6.627 94.760 93.373 28.947 30.760 71.053 69.240 5.29 5.10 224 0.875 0.900 bicubic -86.940 -84.273 -69.103 -66.940 +8 +66
236 densenet121 skresnet34 5.240 6.480 94.760 93.520 29.827 31.547 70.173 68.453 7.98 22.28 224 0.875 bicubic -86.460 -85.910 -68.183 -66.603 +23 +24
237 tf_mixnet_m repvgg_b1 5.133 6.467 94.867 93.533 28.200 33.827 71.800 66.173 5.01 57.42 224 0.875 bicubic bilinear -87.247 -86.863 -69.710 -64.683 +2 -27
238 res2net50_26w_4s hardcorenas_d 5.107 6.440 94.893 93.560 29.293 32.213 70.707 67.787 25.70 7.50 224 0.875 bilinear -87.373 -85.960 -68.847 -65.837 -3 +21
239 gernet_s dla60x 5.080 6.427 94.920 93.573 30.480 34.080 69.520 65.920 8.17 17.35 224 0.875 bilinear -86.880 -86.693 -67.730 -64.430 +13 -17
240 regnetx_032 resnet34d 5.053 6.400 94.947 93.600 30.360 31.493 69.640 68.507 15.30 21.82 224 0.875 bicubic -88.007 -86.280 -67.980 -66.817 -32 +7
241 tf_efficientnet_b0 regnetx_080 5.000 6.307 95.000 93.693 28.667 32.320 71.333 67.680 5.29 39.57 224 0.875 bicubic -87.260 -87.563 -69.233 -66.200 +1 -66
242 mobilenetv3_large_100 swsl_resnet18 4.920 6.240 95.080 93.760 28.427 31.600 71.573 68.400 5.48 11.69 224 0.875 bicubic bilinear -86.200 -84.450 -69.273 -66.100 +27 +65
243 gluon_resnet50_v1c legacy_seresnet50 4.907 6.187 95.093 93.813 28.120 32.653 71.880 67.347 25.58 28.09 224 0.875 bicubic bilinear -88.123 -86.773 -70.210 -65.537 -34 -12
244 mobilenetv3_rw pit_ti_224 4.853 6.120 95.147 93.880 30.213 30.227 69.787 69.773 5.48 4.85 224 0.875 0.900 bicubic -86.347 -83.820 -67.437 -67.223 +21 +71
245 mixnet_s tv_resnet152 4.840 6.040 95.160 93.960 28.533 32.053 71.467 67.947 4.13 60.19 224 0.875 bicubic bilinear -86.990 -87.260 -69.157 -66.337 +10 -30
246 densenet161 tf_efficientnet_cc_b0_4e 4.840 5.973 95.160 94.027 29.613 29.600 70.387 70.400 28.68 13.31 224 0.875 bicubic -87.840 -86.617 -68.737 -68.480 -19 +4
247 selecsls42b regnetx_040 4.827 5.973 95.173 94.027 28.893 31.547 71.107 68.453 32.46 22.12 224 0.875 bicubic -87.413 -87.587 -69.307 -66.993 -4 -51
248 tv_resnext50_32x4d resnet50 4.800 5.933 95.200 94.067 30.520 29.093 69.480 70.907 25.03 25.56 224 0.875 bilinear bicubic -87.970 -87.877 -67.680 -69.297 -28 -66
249 tv_resnet101 dla102 4.627 5.880 95.373 94.120 29.293 32.707 70.707 67.293 44.55 33.27 224 0.875 bilinear -88.183 -87.180 -68.967 -65.833 -32 -24
250 tf_efficientnet_lite1 regnety_016 4.547 5.680 95.453 94.320 28.320 30.413 71.680 69.587 5.42 11.20 240 224 0.882 0.875 bicubic -88.053 -87.350 -69.730 -67.777 -20 -22
251 mobilenetv2_120d selecsls60 4.493 5.653 95.507 94.347 29.867 32.507 70.133 67.493 5.83 30.67 224 0.875 bicubic -87.977 -87.377 -68.133 -65.853 -15 -24
252 resnet26d hardcorenas_c 4.120 5.640 95.880 94.360 28.413 30.400 71.587 69.600 16.01 5.52 224 0.875 bicubic bilinear -87.960 -86.380 -69.587 -67.440 -3 +19
253 semnasnet_100 res2next50 4.080 5.627 95.920 94.373 27.227 30.867 72.773 69.133 3.89 24.67 224 0.875 bicubic bilinear -87.180 -87.213 -70.333 -67.313 +11 -18
254 densenet201 hrnet_w18 4.040 5.493 95.960 94.507 27.640 30.960 72.360 69.040 20.01 21.30 224 0.875 bicubic bilinear -88.630 -86.827 -70.620 -67.280 -26 +8
255 gluon_resnet50_v1b resnest14d 3.973 5.480 96.027 94.520 26.920 28.547 73.080 71.453 25.56 10.61 224 0.875 bicubic bilinear -88.647 -86.240 -71.250 -69.323 -27 +27
256 fbnetc_100 tf_efficientnet_lite2 3.973 5.360 96.027 94.640 26.053 30.907 73.947 69.093 5.57 6.09 224 260 0.875 0.890 bilinear bicubic -86.877 -87.290 -71.187 -67.323 +22 -8
257 repvgg_a2 tf_efficientnet_em 3.920 5.347 96.080 94.653 26.827 31.107 73.173 68.893 28.21 6.90 224 240 0.875 0.882 bilinear bicubic -88.200 -87.583 -71.373 -67.083 -10 -24
258 mobilenetv2_140 gernet_s 3.853 5.307 96.147 94.693 26.533 30.133 73.467 69.867 6.11 8.17 224 0.875 bicubic bilinear -88.007 -86.833 -71.337 -68.057 -4 +11
259 dpn68 tf_efficientnet_b0_ap 3.840 5.307 96.160 94.693 25.987 28.813 74.013 71.187 12.61 5.29 224 0.875 bicubic -88.220 -86.893 -72.073 -69.207 -9 +8
260 tf_efficientnet_es densenet121 3.840 5.293 96.160 94.707 26.347 29.907 73.653 70.093 5.44 7.98 224 0.875 bicubic -88.160 -86.277 -71.543 -68.123 -9 +23
261 regnety_008 repvgg_b1g4 3.800 5.293 96.200 94.707 27.427 30.813 72.573 69.187 6.26 39.97 224 0.875 bicubic bilinear -88.060 -87.687 -70.763 -67.617 -6 -31
262 tf_mixnet_s res2net50_26w_4s 3.773 5.160 96.227 94.840 25.373 29.360 74.627 70.640 4.13 25.70 224 0.875 bicubic bilinear -87.647 -87.340 -72.237 -68.700 -1 -6
263 densenet169 tf_mixnet_m 3.760 5.080 96.240 94.920 25.720 28.147 74.280 71.853 14.15 5.01 224 0.875 bicubic -88.320 -87.250 -72.450 -69.743 -15 -2
264 res2net50_48w_2s mobilenetv3_large_100 3.680 5.067 96.320 94.933 26.827 28.187 73.173 71.813 25.29 5.48 224 0.875 bilinear bicubic -88.900 -86.253 -71.243 -69.523 -33 +24
265 ssl_resnet18 tf_efficientnet_b0 3.653 5.067 96.347 94.933 25.307 28.800 74.693 71.200 11.69 5.29 224 0.875 bilinear bicubic -86.597 -87.183 -72.313 -69.200 +19 0
266 dla60 res2net50_14w_8s 3.653 5.040 96.347 94.960 27.800 28.773 72.200 71.227 22.04 25.06 224 0.875 bilinear -88.487 -87.700 -70.260 -69.407 -20 -24
267 regnetx_016 hardcorenas_b 3.640 4.947 96.360 95.053 26.413 28.120 73.587 71.880 9.19 5.18 224 0.875 bicubic bilinear -88.500 -86.823 -71.867 -69.660 -21 +13
268 tf_mobilenetv3_large_100 mobilenetv3_rw 3.587 4.907 96.413 95.093 24.907 29.853 75.093 70.147 5.48 224 0.875 bilinear bicubic -87.523 -86.303 -72.763 -67.807 +2 +22
269 spnasnet_100 mixnet_s 3.547 4.907 96.453 95.093 24.533 28.573 75.467 71.427 4.42 4.13 224 0.875 bilinear bicubic -86.823 -86.923 -72.627 -69.117 +15 +10
270 regnety_006 gluon_resnet50_v1c 3.533 4.893 96.467 95.107 25.280 28.147 74.720 71.853 6.06 25.58 224 0.875 bicubic -87.747 -88.137 -72.530 -70.153 -7 -41
271 legacy_seresnet34 hardcorenas_a 3.253 4.867 96.747 95.133 23.813 28.093 76.187 71.907 21.96 5.26 224 0.875 bilinear -87.717 -86.483 -73.797 -69.767 +4 +16
272 dla34 regnetx_032 3.227 4.853 96.773 95.147 23.853 30.280 76.147 69.720 15.74 15.30 224 0.875 bilinear bicubic -87.563 -88.267 -73.737 -68.110 +6 -49
273 efficientnet_lite0 tv_resnext50_32x4d 3.200 4.840 96.800 95.160 25.773 30.307 74.227 69.693 4.65 25.03 224 0.875 bicubic bilinear -87.870 -87.900 -71.887 -67.963 -2 -30
274 mnasnet_100 tv_resnet101 3.120 4.707 96.880 95.293 24.267 29.333 75.733 70.667 4.38 44.55 224 0.875 bicubic bilinear -87.340 -88.103 -73.223 -68.917 +8 -36
275 mobilenetv2_110d densenet161 3.053 4.693 96.947 95.307 24.507 29.547 75.493 70.453 4.52 28.68 224 0.875 bicubic -87.807 -73.103 -68.743 +1 -20
276 regnety_004 selecsls42b 3.027 4.667 96.973 95.333 23.080 28.587 76.920 71.413 4.34 32.46 224 0.875 bicubic -87.453 -87.613 -74.430 -69.563 +5 -12
277 skresnet18 tf_efficientnet_lite1 3.013 4.613 96.987 95.387 23.027 28.387 76.973 71.613 11.96 5.42 224 240 0.875 0.882 bicubic -86.747 -88.007 -74.293 -69.693 +12 -27
278 tf_efficientnet_lite0 mobilenetv2_120d 3.013 4.533 96.987 95.467 23.013 29.280 76.987 70.720 4.65 5.83 224 0.875 bicubic -88.007 -87.867 -74.407 -68.790 -6 -20
279 resnet34 efficientnet_es_pruned 2.960 4.187 97.040 95.813 24.000 26.520 76.000 73.480 21.80 5.44 224 0.875 bilinear bicubic -88.220 -86.993 -73.730 -71.230 -13 +14
280 vgg19_bn fbnetc_100 2.947 4.133 97.053 95.867 23.333 25.933 76.667 74.067 143.68 5.57 224 0.875 bilinear -87.143 -86.567 -74.277 -71.277 +6 +25
281 vgg16_bn densenet201 2.893 4.120 97.107 95.880 23.840 27.547 76.160 72.453 138.37 20.01 224 0.875 bilinear bicubic -87.147 -88.630 -73.520 -70.683 +6 -40
282 hrnet_w18_small_v2 gluon_resnet50_v1b 2.880 4.120 97.120 95.880 23.680 26.933 76.320 73.067 15.60 25.56 224 0.875 bilinear bicubic -88.460 -88.420 -74.270 -71.237 -20 -28
283 tf_mobilenetv3_large_075 resnet26d 2.880 4.040 97.120 95.960 21.747 28.520 78.253 71.480 3.99 16.01 224 0.875 bilinear bicubic -86.780 -88.030 -75.533 -69.440 +7 -13
284 resnet18d semnasnet_100 2.853 3.960 97.147 96.040 21.800 26.947 78.200 73.053 11.71 3.89 224 0.875 bicubic -86.297 -87.320 -75.420 -70.613 +9 +5
285 tv_densenet121 repvgg_a2 2.667 3.947 97.333 96.053 22.760 27.267 77.240 72.733 7.98 28.21 224 0.875 bicubic bilinear -88.313 -87.993 -74.980 -70.883 -12 -11
286 gluon_resnet34_v1b tf_mixnet_s 2.560 3.880 97.440 96.120 21.773 25.253 78.227 74.747 21.80 4.13 224 0.875 bicubic -88.410 -87.630 -75.867 -72.367 -12 -2
287 repvgg_b0 dpn68 2.560 3.867 97.440 96.133 24.120 26.080 75.880 73.920 15.82 12.61 224 0.875 bilinear bicubic -88.860 -88.143 -73.800 -71.970 -27 -15
288 vgg16 tf_efficientnet_es 2.560 3.827 97.440 96.173 20.293 26.107 79.707 73.893 138.36 5.44 224 0.875 bilinear bicubic -86.080 -88.153 -76.487 -71.753 +12 -15
289 regnetx_008 regnety_008 2.547 3.813 97.453 96.187 22.333 27.133 77.667 72.867 7.26 6.26 224 0.875 bicubic -88.633 -87.937 -75.217 -71.047 -21 -8
290 resnet26 dla60 2.480 3.773 97.520 96.227 23.053 27.933 76.947 72.067 16.00 22.04 224 0.875 bicubic bilinear -88.700 -88.457 -74.747 -70.177 -23 -24
291 legacy_seresnet18 ssl_resnet18 2.440 3.747 97.560 96.253 19.880 25.427 80.120 74.573 11.78 11.69 224 0.875 bicubic bilinear -86.470 -86.473 -77.110 -72.123 +6 +21
292 regnetx_006 mobilenetv2_140 2.307 3.720 97.693 96.280 20.760 26.747 79.240 73.253 6.20 6.11 224 0.875 bicubic -88.073 -88.110 -76.560 -71.113 -9 -13
293 mobilenetv2_100 densenet169 2.240 3.707 97.760 96.293 19.707 25.613 80.293 74.387 3.50 14.15 224 0.875 bicubic -87.220 -88.223 -77.493 -72.487 -1 -18
294 vgg13_bn regnetx_016 2.227 3.627 97.773 96.373 20.480 26.293 79.520 73.707 133.05 9.19 224 0.875 bilinear bicubic -86.613 -88.543 -76.500 -71.917 +4 -26
295 vgg19 res2net50_48w_2s 2.213 3.587 97.787 96.413 20.920 26.613 79.080 73.387 143.67 25.29 224 0.875 bilinear -86.907 -88.963 -75.980 -71.467 -1 -42
296 tf_mobilenetv3_small_100 spnasnet_100 2.053 3.547 97.947 96.453 15.840 24.293 84.160 75.707 2.54 4.42 224 0.875 bilinear -83.297 -86.803 -79.800 -72.897 +13 +15
297 regnety_002 tf_mobilenetv3_large_100 2.040 3.547 97.960 96.453 18.587 25.053 81.413 74.947 3.16 5.48 224 0.875 bicubic bilinear -85.360 -87.693 -78.083 -72.607 +6 -7
298 regnetx_004 regnety_006 1.960 3.467 98.040 96.533 18.920 24.893 81.080 75.107 5.16 6.06 224 0.875 bicubic -87.070 -87.903 -78.170 -72.817 -3 -12
299 tf_mobilenetv3_small_075 legacy_seresnet34 1.907 3.333 98.093 96.667 15.040 23.800 84.960 76.200 2.04 21.96 224 0.875 bilinear -81.563 -87.557 -79.660 -73.780 +13 +3
300 tv_resnet34 efficientnet_lite0 1.853 3.253 98.147 96.747 20.027 25.867 79.973 74.133 21.80 4.65 224 0.875 bilinear bicubic -88.117 -87.887 -77.363 -71.763 -12 -6
301 dla60x_c dla34 1.800 3.227 98.200 96.773 17.920 23.573 82.080 76.427 1.32 15.74 224 0.875 bilinear -84.460 -87.533 -78.180 -74.087 +6 +3
302 vgg11_bn regnety_004 1.800 3.200 98.200 96.800 18.427 22.653 81.573 77.347 132.87 4.34 224 0.875 bilinear bicubic -85.760 -87.300 -78.373 -74.887 0 +7
303 vgg13 mobilenetv2_110d 1.747 3.173 98.253 96.827 18.120 24.587 81.880 75.413 133.05 4.52 224 0.875 bilinear bicubic -85.313 -87.777 -78.120 -72.963 +2 -3
304 dla46x_c mnasnet_100 1.640 3.120 98.360 96.880 16.360 24.227 83.640 75.773 1.07 4.38 224 0.875 bilinear bicubic -82.790 -87.390 -78.980 -73.243 +6 +4
305 tf_mobilenetv3_large_minimal_100 tf_efficientnet_lite0 1.613 3.080 98.387 96.920 17.213 22.907 82.787 77.093 3.92 4.65 224 0.875 bilinear bicubic -87.327 -87.960 -79.597 -74.683 -9 -7
306 hrnet_w18_small skresnet18 1.573 3.013 98.427 96.987 18.133 22.800 81.867 77.200 13.19 11.96 224 0.875 bilinear bicubic -87.237 -86.647 -78.857 -74.430 -7 +13
307 gluon_resnet18_v1b vgg19_bn 1.533 2.947 98.467 97.053 16.773 23.480 83.227 76.520 11.69 143.68 224 0.875 bicubic bilinear -86.747 -87.133 -79.867 -74.100 -6 +7
308 vgg11 resnet34 1.507 2.920 98.493 97.080 16.213 23.680 83.787 76.320 132.86 21.80 224 0.875 bilinear -85.053 -88.210 -80.007 -73.940 -2 -13
309 dla46_c tf_mobilenetv3_large_075 1.453 2.867 98.547 97.133 15.280 21.573 84.720 78.427 1.30 3.99 224 0.875 bilinear -82.107 -86.813 -79.610 -75.637 +2 +8
310 regnetx_002 hrnet_w18_small_v2 1.320 2.720 98.680 97.280 15.267 23.693 84.733 76.307 2.68 15.60 224 0.875 bicubic bilinear -84.830 -88.470 -80.753 -74.207 -2 -18
311 tf_mobilenetv3_small_minimal_100 gluon_resnet34_v1b 1.040 2.667 98.960 97.333 11.640 21.680 88.360 78.320 2.04 21.80 224 0.875 bilinear bicubic -80.510 -88.293 -82.070 -75.950 +2 -12
312 resnet18 vgg16_bn 1.000 2.653 99.000 97.347 16.253 23.773 83.747 76.227 11.69 138.37 224 0.875 bilinear -86.400 -87.437 -80.027 -73.597 -8 0
313 tv_resnet50 regnetx_008 0.040 2.653 99.960 97.347 14.960 22.453 85.040 77.547 25.56 7.26 224 0.875 bilinear bicubic -91.870 -88.397 -83.100 -75.257 -60 -15
314 vgg16 2.640 97.360 20.427 79.573 138.36 224 0.875 bilinear -85.910 -76.363 +14
315 resnet18d 2.600 97.400 21.613 78.387 11.71 224 0.875 bicubic -86.680 -75.537 +6
316 tv_densenet121 2.560 97.440 22.667 77.333 7.98 224 0.875 bicubic -88.330 -75.043 -13
317 repvgg_b0 2.547 97.453 24.013 75.987 15.82 224 0.875 bilinear -88.883 -73.977 -32
318 regnetx_006 2.507 97.493 20.653 79.347 6.20 224 0.875 bicubic -87.843 -76.777 -8
319 legacy_seresnet18 2.493 97.507 20.080 79.920 11.78 224 0.875 bicubic -86.387 -76.900 +7
320 resnet26 2.480 97.520 22.987 77.013 16.00 224 0.875 bicubic -88.630 -74.753 -24
321 regnety_002 2.147 97.853 18.880 81.120 3.16 224 0.875 bicubic -85.233 -77.710 +10
322 mobilenetv2_100 2.147 97.853 19.907 80.093 3.50 224 0.875 bicubic -87.453 -77.233 -1
323 vgg19 2.107 97.893 20.733 79.267 143.67 224 0.875 bilinear -86.933 -76.137 0
324 vgg13_bn 2.093 97.907 20.307 79.693 133.05 224 0.875 bilinear -86.667 -76.663 +3
325 tf_mobilenetv3_small_100 2.013 97.987 15.867 84.133 2.54 224 0.875 bilinear -83.177 -79.903 +12
326 tf_mobilenetv3_small_075 2.000 98.000 14.813 85.187 2.04 224 0.875 bilinear -81.520 -79.977 +14
327 regnetx_004 1.960 98.040 19.173 80.827 5.16 224 0.875 bicubic -86.940 -77.947 -2
328 tv_resnet34 1.867 98.133 20.000 80.000 21.80 224 0.875 bilinear -88.073 -77.340 -12
329 vgg13 1.867 98.133 17.960 82.040 133.05 224 0.875 bilinear -85.183 -78.360 +4
330 dla46x_c 1.760 98.240 16.480 83.520 1.07 224 0.875 bilinear -82.490 -78.790 +8
331 vgg11_bn 1.720 98.280 18.093 81.907 132.87 224 0.875 bilinear -85.780 -78.727 -1
332 tf_mobilenetv3_large_minimal_100 1.627 98.373 17.120 82.880 3.92 224 0.875 bilinear -87.343 -79.740 -8
333 dla60x_c 1.613 98.387 18.040 81.960 1.32 224 0.875 bilinear -84.677 -78.120 +2
334 vgg11 1.560 98.440 16.227 83.773 132.86 224 0.875 bilinear -84.990 -80.053 0
335 gluon_resnet18_v1b 1.547 98.453 16.613 83.387 11.69 224 0.875 bicubic -86.853 -80.067 -6
336 hrnet_w18_small 1.533 98.467 18.120 81.880 13.19 224 0.875 bilinear -87.517 -78.990 -14
337 dla46_c 1.520 98.480 15.267 84.733 1.30 224 0.875 bilinear -82.130 -79.653 +2
338 regnetx_002 1.373 98.627 15.027 84.973 2.68 224 0.875 bicubic -84.817 -80.953 -2
339 resnet18 1.160 98.840 16.213 83.787 11.69 224 0.875 bilinear -86.230 -80.077 -8
340 tf_mobilenetv3_small_minimal_100 1.013 98.987 11.493 88.507 2.04 224 0.875 bilinear -80.367 -82.177 +1
341 tv_resnet50 0.000 100.000 14.453 85.547 25.56 224 0.875 bilinear -91.880 -83.587 -64

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results/results-imagenet-r-clean.csv
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model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation
tf_efficientnet_l2_ns,97.760,2.240,99.880,0.120,480.31,800,0.960,bicubic tf_efficientnet_l2_ns,97.780,2.220,99.890,0.110,480.31,800,0.960,bicubic
tf_efficientnet_l2_ns_475,97.760,2.240,99.820,0.180,480.31,475,0.936,bicubic tf_efficientnet_l2_ns_475,97.750,2.250,99.820,0.180,480.31,475,0.936,bicubic
tf_efficientnet_b7_ns,97.200,2.800,99.700,0.300,66.35,600,0.949,bicubic tf_efficientnet_b7_ns,97.200,2.800,99.700,0.300,66.35,600,0.949,bicubic
tf_efficientnet_b6_ns,97.010,2.990,99.710,0.290,43.04,528,0.942,bicubic swin_large_patch4_window12_384,97.170,2.830,99.680,0.320,196.74,384,1.000,bicubic
ig_resnext101_32x48d,96.980,3.020,99.660,0.340,828.41,224,0.875,bilinear swin_base_patch4_window12_384,97.120,2.880,99.780,0.220,87.90,384,1.000,bicubic
dm_nfnet_f6,96.970,3.030,99.740,0.260,438.36,576,0.956,bicubic tf_efficientnet_b6_ns,97.020,2.980,99.710,0.290,43.04,528,0.942,bicubic
tf_efficientnet_b5_ns,96.880,3.120,99.640,0.360,30.39,456,0.934,bicubic dm_nfnet_f6,96.990,3.010,99.740,0.260,438.36,576,0.956,bicubic
resnetv2_152x4_bitm,96.860,3.140,99.660,0.340,936.53,480,1.000,bilinear ig_resnext101_32x48d,96.970,3.030,99.670,0.330,828.41,224,0.875,bilinear
ig_resnext101_32x32d,96.850,3.150,99.520,0.480,468.53,224,0.875,bilinear swin_large_patch4_window7_224,96.950,3.050,99.660,0.340,196.53,224,0.900,bicubic
dm_nfnet_f4,96.800,3.200,99.640,0.360,316.07,512,0.951,bicubic resnetv2_152x4_bitm,96.880,3.120,99.660,0.340,936.53,480,1.000,bilinear
dm_nfnet_f5,96.720,3.280,99.680,0.320,377.21,544,0.954,bicubic tf_efficientnet_b5_ns,96.870,3.130,99.640,0.360,30.39,456,0.934,bicubic
tf_efficientnet_b8,96.700,3.300,99.520,0.480,87.41,672,0.954,bicubic dm_nfnet_f4,96.820,3.180,99.600,0.400,316.07,512,0.951,bicubic
tf_efficientnet_b4_ns,96.680,3.320,99.680,0.320,19.34,380,0.922,bicubic ig_resnext101_32x32d,96.780,3.220,99.530,0.470,468.53,224,0.875,bilinear
dm_nfnet_f3,96.660,3.340,99.640,0.360,254.92,416,0.940,bicubic dm_nfnet_f5,96.710,3.290,99.680,0.320,377.21,544,0.954,bicubic
tf_efficientnet_b7,96.580,3.420,99.520,0.480,66.35,600,0.949,bicubic tf_efficientnet_b4_ns,96.710,3.290,99.640,0.360,19.34,380,0.922,bicubic
tf_efficientnet_b8_ap,96.560,3.440,99.540,0.460,87.41,672,0.954,bicubic tf_efficientnet_b8,96.700,3.300,99.530,0.470,87.41,672,0.954,bicubic
resnetv2_152x2_bitm,96.510,3.490,99.620,0.380,236.34,480,1.000,bilinear swin_base_patch4_window7_224,96.680,3.320,99.660,0.340,87.77,224,0.900,bicubic
vit_deit_base_distilled_patch16_384,96.490,3.510,99.590,0.410,87.63,384,1.000,bicubic dm_nfnet_f3,96.630,3.370,99.640,0.360,254.92,416,0.940,bicubic
vit_base_resnet50_384,96.460,3.540,99.670,0.330,98.95,384,1.000,bicubic tf_efficientnet_b7,96.580,3.420,99.510,0.490,66.35,600,0.949,bicubic
dm_nfnet_f2,96.460,3.540,99.560,0.440,193.78,352,0.920,bicubic tf_efficientnet_b8_ap,96.550,3.450,99.540,0.460,87.41,672,0.954,bicubic
ecaresnet269d,96.420,3.580,99.640,0.360,102.09,352,1.000,bicubic vit_deit_base_distilled_patch16_384,96.510,3.490,99.590,0.410,87.63,384,1.000,bicubic
ig_resnext101_32x16d,96.380,3.620,99.560,0.440,194.03,224,0.875,bilinear dm_nfnet_f2,96.500,3.500,99.570,0.430,193.78,352,0.920,bicubic
vit_large_patch16_384,96.380,3.620,99.640,0.360,304.72,384,1.000,bicubic resnetv2_152x2_bitm,96.500,3.500,99.620,0.380,236.34,480,1.000,bilinear
ecaresnet269d,96.460,3.540,99.610,0.390,102.09,352,1.000,bicubic
vit_base_r50_s16_384,96.450,3.550,99.660,0.340,98.95,384,1.000,bicubic
ig_resnext101_32x16d,96.440,3.560,99.540,0.460,194.03,224,0.875,bilinear
dm_nfnet_f1,96.370,3.630,99.470,0.530,132.63,320,0.910,bicubic
tf_efficientnet_b6_ap,96.370,3.630,99.550,0.450,43.04,528,0.942,bicubic tf_efficientnet_b6_ap,96.370,3.630,99.550,0.450,43.04,528,0.942,bicubic
resnetv2_101x3_bitm,96.350,3.650,99.600,0.400,387.93,480,1.000,bilinear resnetv2_101x3_bitm,96.360,3.640,99.600,0.400,387.93,480,1.000,bilinear
vit_large_patch16_384,96.360,3.640,99.630,0.370,304.72,384,1.000,bicubic
tf_efficientnet_b7_ap,96.350,3.650,99.590,0.410,66.35,600,0.949,bicubic tf_efficientnet_b7_ap,96.350,3.650,99.590,0.410,66.35,600,0.949,bicubic
dm_nfnet_f1,96.340,3.660,99.460,0.540,132.63,320,0.910,bicubic seresnet152d,96.310,3.690,99.510,0.490,66.84,320,1.000,bicubic
tf_efficientnet_b6,96.320,3.680,99.530,0.470,43.04,528,0.942,bicubic tf_efficientnet_b6,96.290,3.710,99.520,0.480,43.04,528,0.942,bicubic
swsl_resnext101_32x16d,96.290,3.710,99.540,0.460,194.03,224,0.875,bilinear swsl_resnext101_32x16d,96.270,3.730,99.500,0.500,194.03,224,0.875,bilinear
seresnet152d,96.280,3.720,99.510,0.490,66.84,320,1.000,bicubic swsl_resnext101_32x8d,96.240,3.760,99.590,0.410,88.79,224,0.875,bilinear
swsl_resnext101_32x8d,96.270,3.730,99.590,0.410,88.79,224,0.875,bilinear vit_base_patch16_384,96.190,3.810,99.530,0.470,86.86,384,1.000,bicubic
vit_base_patch16_384,96.190,3.810,99.550,0.450,86.86,384,1.000,bicubic resnetv2_50x3_bitm,96.140,3.860,99.620,0.380,217.32,480,1.000,bilinear
resnest269e,96.140,3.860,99.540,0.460,110.93,416,0.928,bicubic resnest269e,96.120,3.880,99.520,0.480,110.93,416,0.928,bicubic
resnet200d,96.130,3.870,99.440,0.560,64.69,320,1.000,bicubic resnet200d,96.110,3.890,99.460,0.540,64.69,320,1.000,bicubic
resnetv2_50x3_bitm,96.130,3.870,99.620,0.380,217.32,480,1.000,bilinear tf_efficientnet_b3_ns,96.100,3.900,99.480,0.520,12.23,300,0.904,bicubic
resnest200e,96.080,3.920,99.450,0.550,70.20,320,0.909,bicubic
tf_efficientnet_b5_ap,96.080,3.920,99.540,0.460,30.39,456,0.934,bicubic tf_efficientnet_b5_ap,96.080,3.920,99.540,0.460,30.39,456,0.934,bicubic
tf_efficientnet_b3_ns,96.040,3.960,99.460,0.540,12.23,300,0.904,bicubic resnest200e,96.070,3.930,99.480,0.520,70.20,320,0.909,bicubic
swsl_resnext101_32x4d,96.030,3.970,99.540,0.460,44.18,224,0.875,bilinear pit_b_distilled_224,96.070,3.930,99.380,0.620,74.79,224,0.900,bicubic
tf_efficientnet_b5,95.970,4.030,99.460,0.540,30.39,456,0.934,bicubic swsl_resnext101_32x4d,96.050,3.950,99.530,0.470,44.18,224,0.875,bilinear
ig_resnext101_32x8d,95.880,4.120,99.350,0.650,88.79,224,0.875,bilinear tf_efficientnet_b5,95.980,4.020,99.450,0.550,30.39,456,0.934,bicubic
resnet152d,95.870,4.130,99.420,0.580,60.21,320,1.000,bicubic eca_nfnet_l1,95.930,4.070,99.500,0.500,41.41,320,1.000,bicubic
resnet101d,95.740,4.260,99.420,0.580,44.57,320,1.000,bicubic ig_resnext101_32x8d,95.930,4.070,99.380,0.620,88.79,224,0.875,bilinear
vit_deit_base_distilled_patch16_224,95.730,4.270,99.290,0.710,87.34,224,0.900,bicubic regnety_160,95.880,4.120,99.560,0.440,83.59,288,1.000,bicubic
dm_nfnet_f0,95.650,4.350,99.300,0.700,71.49,256,0.900,bicubic resnet152d,95.870,4.130,99.430,0.570,60.21,320,1.000,bicubic
swsl_resnext50_32x4d,95.630,4.370,99.450,0.550,25.03,224,0.875,bilinear resnet101d,95.750,4.250,99.440,0.560,44.57,320,1.000,bicubic
vit_deit_base_patch16_384,95.620,4.380,99.240,0.760,86.86,384,1.000,bicubic vit_deit_base_distilled_patch16_224,95.750,4.250,99.280,0.720,87.34,224,0.900,bicubic
tf_efficientnet_b4,95.580,4.420,99.290,0.710,19.34,380,0.922,bicubic swin_small_patch4_window7_224,95.720,4.280,99.290,0.710,49.61,224,0.900,bicubic
resnest101e,95.560,4.440,99.280,0.720,48.28,256,0.875,bilinear vit_deit_base_patch16_384,95.650,4.350,99.240,0.760,86.86,384,1.000,bicubic
tresnet_xl_448,95.520,4.480,99.340,0.660,78.44,448,0.875,bilinear dm_nfnet_f0,95.630,4.370,99.300,0.700,71.49,256,0.900,bicubic
tf_efficientnet_b4_ap,95.520,4.480,99.420,0.580,19.34,380,0.922,bicubic swsl_resnext50_32x4d,95.620,4.380,99.440,0.560,25.03,224,0.875,bilinear
resnetv2_101x1_bitm,95.510,4.490,99.520,0.480,44.54,480,1.000,bilinear tf_efficientnet_b4,95.590,4.410,99.330,0.670,19.34,380,0.922,bicubic
ssl_resnext101_32x16d,95.470,4.530,99.410,0.590,194.03,224,0.875,bilinear resnest101e,95.570,4.430,99.270,0.730,48.28,256,0.875,bilinear
tf_efficientnet_b2_ns,95.460,4.540,99.390,0.610,9.11,260,0.890,bicubic tf_efficientnet_b2_ns,95.520,4.480,99.340,0.660,9.11,260,0.890,bicubic
tresnet_l_448,95.420,4.580,99.300,0.700,55.99,448,0.875,bilinear resnetv2_101x1_bitm,95.510,4.490,99.510,0.490,44.54,480,1.000,bilinear
pnasnet5large,95.370,4.630,99.120,0.880,86.06,331,0.911,bicubic tresnet_xl_448,95.510,4.490,99.340,0.660,78.44,448,0.875,bilinear
nasnetalarge,95.320,4.680,99.140,0.860,88.75,331,0.911,bicubic tf_efficientnet_b4_ap,95.490,4.510,99.390,0.610,19.34,380,0.922,bicubic
swsl_resnet50,95.290,4.710,99.350,0.650,25.56,224,0.875,bilinear eca_nfnet_l0,95.470,4.530,99.380,0.620,24.14,288,1.000,bicubic
vit_base_patch16_224,95.290,4.710,99.230,0.770,86.57,224,0.900,bicubic regnety_032,95.470,4.530,99.320,0.680,19.44,288,1.000,bicubic
ssl_resnext101_32x8d,95.290,4.710,99.310,0.690,88.79,224,0.875,bilinear tresnet_l_448,95.410,4.590,99.300,0.700,55.99,448,0.875,bilinear
vit_large_patch16_224,95.280,4.720,99.310,0.690,304.33,224,0.900,bicubic ssl_resnext101_32x16d,95.410,4.590,99.410,0.590,194.03,224,0.875,bilinear
vit_base_patch32_384,95.270,4.730,99.190,0.810,88.30,384,1.000,bicubic nfnet_l0,95.390,4.610,99.420,0.580,35.07,288,1.000,bicubic
vit_large_patch32_384,95.240,4.760,99.310,0.690,306.63,384,1.000,bicubic pnasnet5large,95.360,4.640,99.130,0.870,86.06,331,0.911,bicubic
ecaresnet101d,95.210,4.790,99.240,0.760,44.57,224,0.875,bicubic ssl_resnext101_32x8d,95.340,4.660,99.320,0.680,88.79,224,0.875,bilinear
efficientnet_b3a,95.170,4.830,99.220,0.780,12.23,320,1.000,bicubic vit_large_patch16_224,95.290,4.710,99.310,0.690,304.33,224,0.900,bicubic
ssl_resnext101_32x4d,95.150,4.850,99.320,0.680,44.18,224,0.875,bilinear vit_base_patch32_384,95.260,4.740,99.180,0.820,88.30,384,1.000,bicubic
regnety_032,95.130,4.870,99.220,0.780,19.44,224,0.875,bicubic vit_large_patch32_384,95.240,4.760,99.320,0.680,306.63,384,1.000,bicubic
ecaresnet50t,95.080,4.920,99.270,0.730,25.57,320,0.950,bicubic vit_base_patch16_224,95.210,4.790,99.230,0.770,86.57,224,0.900,bicubic
tresnet_xl,94.990,5.010,99.220,0.780,78.44,224,0.875,bilinear swsl_resnet50,95.200,4.800,99.390,0.610,25.56,224,0.875,bilinear
vit_deit_base_patch16_224,94.970,5.030,99.000,1.000,86.57,224,0.900,bicubic ecaresnet101d,95.160,4.840,99.230,0.770,44.57,224,0.875,bicubic
gernet_l,94.940,5.060,99.180,0.820,31.08,256,0.875,bilinear ssl_resnext101_32x4d,95.160,4.840,99.300,0.700,44.18,224,0.875,bilinear
tf_efficientnet_b3,94.900,5.100,99.140,0.860,12.23,300,0.904,bicubic nasnetalarge,95.150,4.850,99.130,0.870,88.75,331,0.911,bicubic
efficientnet_b3,94.890,5.110,99.190,0.810,12.23,300,0.904,bicubic efficientnet_b3a,95.140,4.860,99.210,0.790,12.23,320,1.000,bicubic
tf_efficientnet_b3_ap,94.890,5.110,99.130,0.870,12.23,300,0.904,bicubic ecaresnet50t,95.070,4.930,99.290,0.710,25.57,320,0.950,bicubic
tf_efficientnet_lite4,94.880,5.120,99.110,0.890,13.01,380,0.920,bilinear tresnet_xl,95.060,4.940,99.260,0.740,78.44,224,0.875,bilinear
tf_efficientnet_b1_ns,94.850,5.150,99.240,0.760,7.79,240,0.882,bicubic vit_deit_base_patch16_224,95.010,4.990,98.980,1.020,86.57,224,0.900,bicubic
tresnet_l,94.830,5.170,99.060,0.940,55.99,224,0.875,bilinear efficientnet_v2s,94.990,5.010,99.080,0.920,23.94,224,1.000,bicubic
seresnext50_32x4d,94.770,5.230,99.120,0.880,27.56,224,0.875,bicubic efficientnet_b3,94.970,5.030,99.230,0.770,12.23,300,0.904,bicubic
legacy_senet154,94.760,5.240,99.100,0.900,115.09,224,0.875,bilinear tf_efficientnet_b3_ap,94.970,5.030,99.110,0.890,12.23,300,0.904,bicubic
resnest50d_4s2x40d,94.720,5.280,99.130,0.870,30.42,224,0.875,bicubic gernet_l,94.930,5.070,99.200,0.800,31.08,256,0.875,bilinear
ssl_resnext50_32x4d,94.720,5.280,99.190,0.810,25.03,224,0.875,bilinear tf_efficientnet_b3,94.910,5.090,99.110,0.890,12.23,300,0.904,bicubic
wide_resnet50_2,94.690,5.310,99.090,0.910,68.88,224,0.875,bicubic tresnet_l,94.900,5.100,99.030,0.970,55.99,224,0.875,bilinear
tresnet_m_448,94.670,5.330,99.140,0.860,31.39,448,0.875,bilinear tf_efficientnet_lite4,94.870,5.130,99.090,0.910,13.01,380,0.920,bilinear
gluon_resnet152_v1s,94.650,5.350,99.070,0.930,60.32,224,0.875,bicubic tf_efficientnet_b1_ns,94.860,5.140,99.250,0.750,7.79,240,0.882,bicubic
gluon_senet154,94.650,5.350,98.990,1.010,115.09,224,0.875,bicubic seresnext50_32x4d,94.820,5.180,99.130,0.870,27.56,224,0.875,bicubic
repvgg_b3,94.630,5.370,98.990,1.010,123.09,224,0.875,bilinear pit_b_224,94.790,5.210,98.820,1.180,73.76,224,0.900,bicubic
rexnet_200,94.600,5.400,99.060,0.940,16.37,224,0.875,bicubic legacy_senet154,94.730,5.270,99.100,0.900,115.09,224,0.875,bilinear
repvgg_b3g4,94.570,5.430,99.000,1.000,83.83,224,0.875,bilinear pit_s_distilled_224,94.730,5.270,99.190,0.810,24.04,224,0.900,bicubic
vit_deit_small_distilled_patch16_224,94.570,5.430,99.100,0.900,22.44,224,0.900,bicubic gluon_resnet152_v1s,94.720,5.280,99.060,0.940,60.32,224,0.875,bicubic
efficientnet_b3_pruned,94.550,5.450,99.060,0.940,9.86,300,0.904,bicubic gluon_senet154,94.710,5.290,98.970,1.030,115.09,224,0.875,bicubic
gluon_seresnext101_64x4d,94.500,5.500,98.970,1.030,88.23,224,0.875,bicubic resnest50d_4s2x40d,94.710,5.290,99.130,0.870,30.42,224,0.875,bicubic
regnety_320,94.500,5.500,99.150,0.850,145.05,224,0.875,bicubic ssl_resnext50_32x4d,94.700,5.300,99.240,0.760,25.03,224,0.875,bilinear
resnetv2_50x1_bitm,94.500,5.500,99.260,0.740,25.55,480,1.000,bilinear efficientnet_el,94.670,5.330,99.130,0.870,10.59,300,0.904,bicubic
resnest50d,94.490,5.510,99.000,1.000,27.48,224,0.875,bilinear wide_resnet50_2,94.670,5.330,99.050,0.950,68.88,224,0.875,bicubic
gernet_m,94.480,5.520,98.910,1.090,21.14,224,0.875,bilinear tresnet_m_448,94.660,5.340,99.150,0.850,31.39,448,0.875,bilinear
gluon_resnet152_v1d,94.470,5.530,98.990,1.010,60.21,224,0.875,bicubic rexnet_200,94.660,5.340,99.090,0.910,16.37,224,0.875,bicubic
ecaresnet101d_pruned,94.460,5.540,99.130,0.870,24.88,224,0.875,bicubic gluon_seresnext101_64x4d,94.650,5.350,98.980,1.020,88.23,224,0.875,bicubic
tf_efficientnet_el,94.450,5.550,99.100,0.900,10.59,300,0.904,bicubic resnest50d,94.620,5.380,99.030,0.970,27.48,224,0.875,bilinear
nf_resnet50,94.420,5.580,99.100,0.900,25.56,288,0.940,bicubic swin_tiny_patch4_window7_224,94.620,5.380,99.120,0.880,28.29,224,0.900,bicubic
efficientnet_b2a,94.400,5.600,99.050,0.950,9.11,288,1.000,bicubic pit_s_224,94.590,5.410,98.930,1.070,23.46,224,0.900,bicubic
gluon_seresnext101_32x4d,94.400,5.600,99.110,0.890,48.96,224,0.875,bicubic vit_deit_small_distilled_patch16_224,94.590,5.410,99.100,0.900,22.44,224,0.900,bicubic
inception_v4,94.390,5.610,98.830,1.170,42.68,299,0.875,bicubic efficientnet_b3_pruned,94.580,5.420,99.070,0.930,9.86,300,0.904,bicubic
tf_efficientnet_b2_ap,94.360,5.640,98.970,1.030,9.11,260,0.890,bicubic tnt_s_patch16_224,94.580,5.420,99.180,0.820,23.76,224,0.900,bicubic
gluon_resnext101_64x4d,94.350,5.650,98.830,1.170,83.46,224,0.875,bicubic resnetv2_50x1_bitm,94.550,5.450,99.250,0.750,25.55,480,1.000,bilinear
efficientnet_b2,94.340,5.660,99.120,0.880,9.11,260,0.875,bicubic repvgg_b3,94.550,5.450,98.910,1.090,123.09,224,0.875,bilinear
resnest50d_1s4x24d,94.340,5.660,99.060,0.940,25.68,224,0.875,bicubic gernet_m,94.550,5.450,98.930,1.070,21.14,224,0.875,bilinear
gluon_resnet101_v1s,94.290,5.710,99.040,0.960,44.67,224,0.875,bicubic regnety_320,94.520,5.480,99.170,0.830,145.05,224,0.875,bicubic
rexnet_150,94.280,5.720,99.070,0.930,9.73,224,0.875,bicubic repvgg_b3g4,94.490,5.510,99.020,0.980,83.83,224,0.875,bilinear
regnety_160,94.280,5.720,99.020,0.980,83.59,224,0.875,bicubic ecaresnet101d_pruned,94.450,5.550,99.100,0.900,24.88,224,0.875,bicubic
inception_resnet_v2,94.260,5.740,98.830,1.170,55.84,299,0.897,bicubic gluon_seresnext101_32x4d,94.450,5.550,99.090,0.910,48.96,224,0.875,bicubic
mixnet_xl,94.250,5.750,98.840,1.160,11.90,224,0.875,bicubic gluon_resnet152_v1d,94.440,5.560,99.010,0.990,60.21,224,0.875,bicubic
ssl_resnet50,94.250,5.750,99.080,0.920,25.56,224,0.875,bilinear nf_resnet50,94.410,5.590,99.100,0.900,25.56,288,0.940,bicubic
dpn92,94.240,5.760,98.950,1.050,37.67,224,0.875,bicubic resnest50d_1s4x24d,94.390,5.610,99.070,0.930,25.68,224,0.875,bicubic
regnetx_120,94.240,5.760,99.190,0.810,46.11,224,0.875,bicubic inception_v4,94.380,5.620,98.820,1.180,42.68,299,0.875,bicubic
regnetx_320,94.230,5.770,99.060,0.940,107.81,224,0.875,bicubic efficientnet_b2a,94.370,5.630,99.050,0.950,9.11,288,1.000,bicubic
gluon_resnext101_32x4d,94.190,5.810,98.920,1.080,44.18,224,0.875,bicubic tf_efficientnet_el,94.360,5.640,99.100,0.900,10.59,300,0.904,bicubic
tf_efficientnet_b2,94.190,5.810,99.030,0.970,9.11,260,0.890,bicubic gluon_resnext101_64x4d,94.350,5.650,98.880,1.120,83.46,224,0.875,bicubic
tf_efficientnet_lite3,94.140,5.860,98.940,1.060,8.20,300,0.904,bilinear efficientnet_b2,94.340,5.660,99.100,0.900,9.11,260,0.875,bicubic
ecaresnet50d,94.140,5.860,99.030,0.970,25.58,224,0.875,bicubic inception_resnet_v2,94.340,5.660,98.800,1.200,55.84,299,0.897,bicubic
ecaresnetlight,94.120,5.880,98.940,1.060,30.16,224,0.875,bicubic ssl_resnet50,94.310,5.690,99.150,0.850,25.56,224,0.875,bilinear
gluon_resnet101_v1d,94.120,5.880,98.920,1.080,44.57,224,0.875,bicubic regnetx_120,94.270,5.730,99.190,0.810,46.11,224,0.875,bicubic
legacy_seresnext101_32x4d,94.110,5.890,98.950,1.050,48.96,224,0.875,bilinear rexnet_150,94.270,5.730,99.080,0.920,9.73,224,0.875,bicubic
regnety_064,94.110,5.890,99.020,0.980,30.58,224,0.875,bicubic tf_efficientnet_b2_ap,94.270,5.730,98.950,1.050,9.11,260,0.890,bicubic
resnet50d,94.110,5.890,98.960,1.040,25.58,224,0.875,bicubic mixnet_xl,94.230,5.770,98.820,1.180,11.90,224,0.875,bicubic
seresnet50,94.100,5.900,98.980,1.020,28.09,224,0.875,bicubic tf_efficientnet_b2,94.210,5.790,99.030,0.970,9.11,260,0.890,bicubic
cspdarknet53,94.090,5.910,98.970,1.030,27.64,256,0.887,bilinear regnetx_320,94.210,5.790,99.050,0.950,107.81,224,0.875,bicubic
ens_adv_inception_resnet_v2,94.070,5.930,98.790,1.210,55.84,299,0.897,bicubic dpn92,94.190,5.810,98.930,1.070,37.67,224,0.875,bicubic
gluon_seresnext50_32x4d,94.040,5.960,98.900,1.100,27.56,224,0.875,bicubic ecaresnet50d,94.190,5.810,99.020,0.980,25.58,224,0.875,bicubic
dla102x2,94.040,5.960,99.070,0.930,41.28,224,0.875,bilinear gluon_resnet101_v1d,94.170,5.830,98.940,1.060,44.57,224,0.875,bicubic
tresnet_m,94.020,5.980,98.820,1.180,31.39,224,0.875,bilinear gluon_resnet101_v1s,94.170,5.830,99.010,0.990,44.67,224,0.875,bicubic
gluon_xception65,94.010,5.990,99.010,0.990,39.92,299,0.903,bicubic gluon_seresnext50_32x4d,94.170,5.830,98.910,1.090,27.56,224,0.875,bicubic
regnetx_160,94.010,5.990,99.120,0.880,54.28,224,0.875,bicubic ecaresnetlight,94.140,5.860,98.950,1.050,30.16,224,0.875,bicubic
gluon_resnet152_v1b,94.000,6.000,98.770,1.230,60.19,224,0.875,bicubic regnety_064,94.140,5.860,99.030,0.970,30.58,224,0.875,bicubic
dpn107,93.990,6.010,98.870,1.130,86.92,224,0.875,bicubic ens_adv_inception_resnet_v2,94.130,5.870,98.790,1.210,55.84,299,0.897,bicubic
resnext50d_32x4d,93.990,6.010,98.790,1.210,25.05,224,0.875,bicubic legacy_seresnext101_32x4d,94.130,5.870,98.970,1.030,48.96,224,0.875,bilinear
regnety_120,93.960,6.040,99.060,0.940,51.82,224,0.875,bicubic tf_efficientnet_lite3,94.130,5.870,98.960,1.040,8.20,300,0.904,bilinear
hrnet_w64,93.950,6.050,98.960,1.040,128.06,224,0.875,bilinear gluon_resnext101_32x4d,94.120,5.880,98.930,1.070,44.18,224,0.875,bicubic
ese_vovnet39b,93.940,6.060,98.930,1.070,24.57,224,0.875,bicubic efficientnet_el_pruned,94.090,5.910,99.010,0.990,10.59,300,0.904,bicubic
hrnet_w48,93.930,6.070,99.020,0.980,77.47,224,0.875,bilinear cspdarknet53,94.090,5.910,98.980,1.020,27.64,256,0.887,bilinear
ecaresnet26t,93.920,6.080,98.940,1.060,16.01,320,0.950,bicubic seresnet50,94.080,5.920,98.970,1.030,28.09,224,0.875,bicubic
efficientnet_b2_pruned,93.920,6.080,98.910,1.090,8.31,260,0.890,bicubic resnet50d,94.070,5.930,98.920,1.080,25.58,224,0.875,bicubic
regnetx_080,93.910,6.090,98.910,1.090,39.57,224,0.875,bicubic tresnet_m,94.070,5.930,98.830,1.170,31.39,224,0.875,bilinear
dpn98,93.900,6.100,98.930,1.070,61.57,224,0.875,bicubic gluon_resnet152_v1b,94.030,5.970,98.740,1.260,60.19,224,0.875,bicubic
gluon_resnet152_v1c,93.900,6.100,98.850,1.150,60.21,224,0.875,bicubic hrnet_w48,94.030,5.970,99.040,0.960,77.47,224,0.875,bilinear
skresnext50_32x4d,93.900,6.100,98.800,1.200,27.48,224,0.875,bicubic gluon_xception65,94.010,5.990,99.020,0.980,39.92,299,0.903,bicubic
regnety_120,94.010,5.990,99.030,0.970,51.82,224,0.875,bicubic
vit_deit_small_patch16_224,94.000,6.000,98.960,1.040,22.05,224,0.900,bicubic
dla102x2,94.000,6.000,99.030,0.970,41.28,224,0.875,bilinear
dpn107,93.960,6.040,98.840,1.160,86.92,224,0.875,bicubic
skresnext50_32x4d,93.950,6.050,98.820,1.180,27.48,224,0.875,bicubic
dpn98,93.940,6.060,98.920,1.080,61.57,224,0.875,bicubic
ecaresnet26t,93.940,6.060,98.920,1.080,16.01,320,0.950,bicubic
nf_regnet_b1,93.890,6.110,98.750,1.250,10.22,288,0.900,bicubic
regnety_080,93.890,6.110,99.000,1.000,39.18,224,0.875,bicubic
xception71,93.890,6.110,98.950,1.050,42.34,299,0.903,bicubic xception71,93.890,6.110,98.950,1.050,42.34,299,0.903,bicubic
vit_deit_small_patch16_224,93.890,6.110,98.970,1.030,22.05,224,0.900,bicubic gluon_resnet152_v1c,93.880,6.120,98.800,1.200,60.21,224,0.875,bicubic
repvgg_b2g4,93.890,6.110,98.920,1.080,61.76,224,0.875,bilinear regnetx_160,93.880,6.120,99.090,0.910,54.28,224,0.875,bicubic
nf_regnet_b1,93.890,6.110,98.790,1.210,10.22,288,0.900,bicubic cspresnet50,93.860,6.140,98.870,1.130,21.62,256,0.887,bilinear
resnext50_32x4d,93.850,6.150,98.790,1.210,25.03,224,0.875,bicubic ese_vovnet39b,93.850,6.150,98.900,1.100,24.57,224,0.875,bicubic
cspresnet50,93.840,6.160,98.900,1.100,21.62,256,0.887,bilinear resnext50_32x4d,93.840,6.160,98.830,1.170,25.03,224,0.875,bicubic
ecaresnet50d_pruned,93.840,6.160,98.980,1.020,19.94,224,0.875,bicubic hrnet_w64,93.830,6.170,98.930,1.070,128.06,224,0.875,bilinear
wide_resnet101_2,93.840,6.160,98.800,1.200,126.89,224,0.875,bilinear ecaresnet50d_pruned,93.820,6.180,99.000,1.000,19.94,224,0.875,bicubic
cspresnext50,93.820,6.180,98.840,1.160,20.57,224,0.875,bilinear repvgg_b2g4,93.820,6.180,98.930,1.070,61.76,224,0.875,bilinear
resnext101_32x8d,93.820,6.180,98.950,1.050,88.79,224,0.875,bilinear resnext50d_32x4d,93.810,6.190,98.740,1.260,25.05,224,0.875,bicubic
xception65,93.810,6.190,98.850,1.150,39.92,299,0.903,bicubic dla169,93.800,6.200,98.840,1.160,53.39,224,0.875,bilinear
regnety_080,93.800,6.200,99.000,1.000,39.18,224,0.875,bicubic efficientnet_b2_pruned,93.800,6.200,98.910,1.090,8.31,260,0.890,bicubic
dpn131,93.770,6.230,98.800,1.200,79.25,224,0.875,bicubic regnetx_080,93.790,6.210,98.910,1.090,39.57,224,0.875,bicubic
gluon_resnet101_v1c,93.750,6.250,98.800,1.200,44.57,224,0.875,bicubic resnext101_32x8d,93.770,6.230,98.950,1.050,88.79,224,0.875,bilinear
gluon_resnet101_v1b,93.750,6.250,98.720,1.280,44.55,224,0.875,bicubic gluon_resnet101_v1b,93.760,6.240,98.700,1.300,44.55,224,0.875,bicubic
efficientnet_em,93.730,6.270,98.940,1.060,6.90,240,0.882,bicubic xception65,93.760,6.240,98.860,1.140,39.92,299,0.903,bicubic
resnetblur50,93.730,6.270,98.810,1.190,25.56,224,0.875,bicubic cspresnext50,93.760,6.240,98.840,1.160,20.57,224,0.875,bilinear
regnetx_040,93.710,6.290,98.880,1.120,22.12,224,0.875,bicubic dpn131,93.760,6.240,98.800,1.200,79.25,224,0.875,bicubic
efficientnet_em,93.740,6.260,98.930,1.070,6.90,240,0.882,bicubic
tf_efficientnet_b0_ns,93.740,6.260,98.980,1.020,5.29,224,0.875,bicubic
wide_resnet101_2,93.730,6.270,98.810,1.190,126.89,224,0.875,bilinear
hrnet_w40,93.710,6.290,98.800,1.200,57.56,224,0.875,bilinear
resnetblur50,93.710,6.290,98.810,1.190,25.56,224,0.875,bicubic
tf_efficientnet_b1,93.710,6.290,98.800,1.200,7.79,240,0.882,bicubic tf_efficientnet_b1,93.710,6.290,98.800,1.200,7.79,240,0.882,bicubic
gluon_resnext50_32x4d,93.700,6.300,98.700,1.300,25.03,224,0.875,bicubic gluon_resnet101_v1c,93.690,6.310,98.760,1.240,44.57,224,0.875,bicubic
tf_efficientnet_b1_ap,93.680,6.320,98.810,1.190,7.79,240,0.882,bicubic regnetx_040,93.680,6.320,98.940,1.060,22.12,224,0.875,bicubic
xception,93.680,6.320,98.820,1.180,22.86,299,0.897,bicubic rexnet_130,93.670,6.330,98.710,1.290,7.56,224,0.875,bicubic
dla169,93.670,6.330,98.890,1.110,53.39,224,0.875,bilinear gluon_resnext50_32x4d,93.650,6.350,98.690,1.310,25.03,224,0.875,bicubic
hrnet_w44,93.660,6.340,98.930,1.070,67.06,224,0.875,bilinear xception,93.640,6.360,98.770,1.230,22.86,299,0.897,bicubic
regnetx_064,93.640,6.360,99.040,0.960,26.21,224,0.875,bicubic regnetx_064,93.630,6.370,99.050,0.950,26.21,224,0.875,bicubic
rexnet_130,93.620,6.380,98.720,1.280,7.56,224,0.875,bicubic tf_efficientnet_b1_ap,93.630,6.370,98.800,1.200,7.79,240,0.882,bicubic
dpn68b,93.610,6.390,98.770,1.230,12.61,224,0.875,bicubic dpn68b,93.620,6.380,98.700,1.300,12.61,224,0.875,bicubic
regnety_040,93.600,6.400,98.990,1.010,20.65,224,0.875,bicubic hrnet_w44,93.620,6.380,98.960,1.040,67.06,224,0.875,bilinear
repvgg_b2,93.590,6.410,99.090,0.910,89.02,224,0.875,bilinear regnety_040,93.620,6.380,98.950,1.050,20.65,224,0.875,bicubic
res2net50_26w_8s,93.590,6.410,98.710,1.290,48.40,224,0.875,bilinear res2net50_26w_6s,93.590,6.410,98.750,1.250,37.05,224,0.875,bilinear
res2net101_26w_4s,93.590,6.410,98.700,1.300,45.21,224,0.875,bilinear gluon_resnet50_v1s,93.590,6.410,98.840,1.160,25.68,224,0.875,bicubic
tf_efficientnet_b0_ns,93.580,6.420,99.010,0.990,5.29,224,0.875,bicubic repvgg_b2,93.590,6.410,99.070,0.930,89.02,224,0.875,bilinear
gluon_inception_v3,93.580,6.420,98.830,1.170,23.83,299,0.875,bicubic dla60_res2next,93.570,6.430,98.800,1.200,17.03,224,0.875,bilinear
gluon_resnet50_v1s,93.560,6.440,98.820,1.180,25.68,224,0.875,bicubic tf_efficientnet_cc_b1_8e,93.570,6.430,98.690,1.310,39.72,240,0.882,bicubic
legacy_seresnext50_32x4d,93.560,6.440,98.750,1.250,27.56,224,0.875,bilinear gluon_inception_v3,93.540,6.460,98.830,1.170,23.83,299,0.875,bicubic
tf_efficientnet_cc_b1_8e,93.560,6.440,98.680,1.320,39.72,240,0.882,bicubic dla102x,93.530,6.470,98.850,1.150,26.31,224,0.875,bilinear
res2net50_26w_6s,93.550,6.450,98.800,1.200,37.05,224,0.875,bilinear gluon_resnet50_v1d,93.530,6.470,98.710,1.290,25.58,224,0.875,bicubic
dla102x,93.530,6.470,98.860,1.140,26.31,224,0.875,bilinear res2net101_26w_4s,93.520,6.480,98.600,1.400,45.21,224,0.875,bilinear
gluon_resnet50_v1d,93.530,6.470,98.830,1.170,25.58,224,0.875,bicubic selecsls60b,93.500,6.500,98.840,1.160,32.77,224,0.875,bicubic
hrnet_w40,93.520,6.480,98.810,1.190,57.56,224,0.875,bilinear xception41,93.480,6.520,98.750,1.250,26.97,299,0.903,bicubic
xception41,93.510,6.490,98.750,1.250,26.97,299,0.903,bicubic resnet50,93.460,6.540,98.600,1.400,25.56,224,0.875,bicubic
resnet50,93.500,6.500,98.580,1.420,25.56,224,0.875,bicubic res2net50_26w_8s,93.450,6.550,98.700,1.300,48.40,224,0.875,bilinear
selecsls60b,93.450,6.550,98.850,1.150,32.77,224,0.875,bicubic legacy_seresnet152,93.440,6.560,98.850,1.150,66.82,224,0.875,bilinear
dla60_res2net,93.440,6.560,98.870,1.130,20.85,224,0.875,bilinear legacy_seresnext50_32x4d,93.430,6.570,98.800,1.200,27.56,224,0.875,bilinear
repvgg_b1,93.440,6.560,98.740,1.260,57.42,224,0.875,bilinear repvgg_b1,93.410,6.590,98.790,1.210,57.42,224,0.875,bilinear
dla60_res2next,93.370,6.630,98.820,1.180,17.03,224,0.875,bilinear dla60_res2net,93.380,6.620,98.860,1.140,20.85,224,0.875,bilinear
hrnet_w30,93.370,6.630,98.880,1.120,37.71,224,0.875,bilinear hrnet_w30,93.370,6.630,98.830,1.170,37.71,224,0.875,bilinear
regnetx_032,93.350,6.650,98.660,1.340,15.30,224,0.875,bicubic dla102,93.260,6.740,98.780,1.220,33.27,224,0.875,bilinear
legacy_seresnet152,93.330,6.670,98.760,1.240,66.82,224,0.875,bilinear legacy_seresnet101,93.260,6.740,98.740,1.260,49.33,224,0.875,bilinear
dla102,93.270,6.730,98.800,1.200,33.27,224,0.875,bilinear mixnet_l,93.260,6.740,98.700,1.300,7.33,224,0.875,bicubic
legacy_seresnet101,93.250,6.750,98.760,1.240,49.33,224,0.875,bilinear regnetx_032,93.250,6.750,98.730,1.270,15.30,224,0.875,bicubic
tv_resnet152,93.220,6.780,98.790,1.210,60.19,224,0.875,bilinear pit_xs_distilled_224,93.240,6.760,98.820,1.180,11.00,224,0.900,bicubic
res2net50_26w_4s,93.210,6.790,98.630,1.370,25.70,224,0.875,bilinear tv_resnet152,93.240,6.760,98.750,1.250,60.19,224,0.875,bilinear
tf_inception_v3,93.200,6.800,98.510,1.490,23.83,299,0.875,bicubic resnest26d,93.240,6.760,98.850,1.150,17.07,224,0.875,bilinear
res2next50,93.180,6.820,98.670,1.330,24.67,224,0.875,bilinear tf_inception_v3,93.200,6.800,98.480,1.520,23.83,299,0.875,bicubic
tf_efficientnet_em,93.160,6.840,98.670,1.330,6.90,240,0.882,bicubic dla60x,93.190,6.810,98.710,1.290,17.35,224,0.875,bilinear
mixnet_l,93.150,6.850,98.680,1.320,7.33,224,0.875,bicubic res2net50_26w_4s,93.180,6.820,98.670,1.330,25.70,224,0.875,bilinear
resnest26d,93.150,6.850,98.900,1.100,17.07,224,0.875,bilinear tf_efficientnet_em,93.170,6.830,98.670,1.330,6.90,240,0.882,bicubic
efficientnet_b1,93.100,6.900,98.590,1.410,7.79,240,0.875,bicubic res2next50,93.150,6.850,98.660,1.340,24.67,224,0.875,bilinear
dla60x,93.080,6.920,98.710,1.290,17.35,224,0.875,bilinear efficientnet_b1,93.060,6.940,98.540,1.460,7.79,240,0.875,bicubic
regnety_016,93.070,6.930,98.740,1.260,11.20,224,0.875,bicubic tf_mixnet_l,93.040,6.960,98.540,1.460,7.33,224,0.875,bicubic
efficientnet_es,93.010,6.990,98.740,1.260,5.44,224,0.875,bicubic res2net50_14w_8s,93.030,6.970,98.700,1.300,25.06,224,0.875,bilinear
tf_mixnet_l,93.010,6.990,98.540,1.460,7.33,224,0.875,bicubic repvgg_b1g4,93.030,6.970,98.820,1.180,39.97,224,0.875,bilinear
efficientnet_b1_pruned,93.000,7.000,98.520,1.480,6.33,240,0.882,bicubic adv_inception_v3,93.010,6.990,98.490,1.510,23.83,299,0.875,bicubic
hrnet_w32,93.000,7.000,98.860,1.140,41.23,224,0.875,bilinear selecsls60,93.010,6.990,98.830,1.170,30.67,224,0.875,bicubic
densenet161,92.990,7.010,98.780,1.220,28.68,224,0.875,bicubic regnety_016,93.000,7.000,98.680,1.320,11.20,224,0.875,bicubic
gluon_resnet50_v1c,92.990,7.010,98.640,1.360,25.58,224,0.875,bicubic efficientnet_b1_pruned,92.980,7.020,98.530,1.470,6.33,240,0.882,bicubic
res2net50_14w_8s,92.980,7.020,98.620,1.380,25.06,224,0.875,bilinear hardcorenas_f,92.980,7.020,98.620,1.380,8.20,224,0.875,bilinear
selecsls60,92.980,7.020,98.750,1.250,30.67,224,0.875,bicubic hardcorenas_e,92.950,7.050,98.570,1.430,8.07,224,0.875,bilinear
inception_v3,92.970,7.030,98.330,1.670,23.83,299,0.875,bicubic hrnet_w32,92.950,7.050,98.840,1.160,41.23,224,0.875,bilinear
adv_inception_v3,92.960,7.040,98.500,1.500,23.83,299,0.875,bicubic pit_xs_224,92.910,7.090,98.780,1.220,10.62,224,0.900,bicubic
repvgg_b1g4,92.940,7.060,98.800,1.200,39.97,224,0.875,bilinear gluon_resnet50_v1c,92.910,7.090,98.710,1.290,25.58,224,0.875,bicubic
tv_resnet101,92.940,7.060,98.640,1.360,44.55,224,0.875,bilinear efficientnet_es,92.910,7.090,98.690,1.310,5.44,224,0.875,bicubic
tv_resnext50_32x4d,92.940,7.060,98.720,1.280,25.03,224,0.875,bilinear densenet161,92.900,7.100,98.810,1.190,28.68,224,0.875,bicubic
hrnet_w18,92.860,7.140,98.690,1.310,21.30,224,0.875,bilinear inception_v3,92.900,7.100,98.330,1.670,23.83,299,0.875,bicubic
tf_efficientnet_cc_b0_8e,92.850,7.150,98.480,1.520,24.01,224,0.875,bicubic tv_resnext50_32x4d,92.900,7.100,98.720,1.280,25.03,224,0.875,bilinear
legacy_seresnet50,92.820,7.180,98.650,1.350,28.09,224,0.875,bilinear tv_resnet101,92.880,7.120,98.660,1.340,44.55,224,0.875,bilinear
mobilenetv2_120d,92.770,7.230,98.480,1.520,5.83,224,0.875,bicubic tf_efficientnet_cc_b0_8e,92.870,7.130,98.460,1.540,24.01,224,0.875,bicubic
rexnet_100,92.760,7.240,98.630,1.370,4.80,224,0.875,bicubic rexnet_100,92.850,7.150,98.620,1.380,4.80,224,0.875,bicubic
tf_efficientnet_cc_b0_4e,92.740,7.260,98.520,1.480,13.31,224,0.875,bicubic tf_efficientnet_cc_b0_4e,92.840,7.160,98.440,1.560,13.31,224,0.875,bicubic
seresnext26t_32x4d,92.740,7.260,98.550,1.450,16.81,224,0.875,bicubic seresnext26t_32x4d,92.820,7.180,98.560,1.440,16.81,224,0.875,bicubic
gluon_resnet50_v1b,92.730,7.270,98.560,1.440,25.56,224,0.875,bicubic res2net50_48w_2s,92.790,7.210,98.470,1.530,25.29,224,0.875,bilinear
dla60,92.710,7.290,98.650,1.350,22.04,224,0.875,bilinear hrnet_w18,92.760,7.240,98.660,1.340,21.30,224,0.875,bilinear
repvgg_a2,92.700,7.300,98.600,1.400,28.21,224,0.875,bilinear densenet201,92.690,7.310,98.650,1.350,20.01,224,0.875,bicubic
res2net50_48w_2s,92.670,7.330,98.460,1.540,25.29,224,0.875,bilinear repvgg_a2,92.680,7.320,98.520,1.480,28.21,224,0.875,bilinear
densenet201,92.660,7.340,98.680,1.320,20.01,224,0.875,bicubic dla60,92.670,7.330,98.630,1.370,22.04,224,0.875,bilinear
regnetx_016,92.620,7.380,98.530,1.470,9.19,224,0.875,bicubic legacy_seresnet50,92.670,7.330,98.650,1.350,28.09,224,0.875,bilinear
vit_small_patch16_224,92.620,7.380,98.400,1.600,48.75,224,0.900,bicubic resnet34d,92.640,7.360,98.420,1.580,21.82,224,0.875,bicubic
resnet34d,92.610,7.390,98.430,1.570,21.82,224,0.875,bicubic mobilenetv2_120d,92.610,7.390,98.510,1.490,5.83,224,0.875,bicubic
tf_efficientnet_lite2,92.590,7.410,98.570,1.430,6.09,260,0.890,bicubic tf_efficientnet_b0_ap,92.610,7.390,98.370,1.630,5.29,224,0.875,bicubic
tf_efficientnet_b0_ap,92.570,7.430,98.410,1.590,5.29,224,0.875,bicubic hardcorenas_d,92.600,7.400,98.430,1.570,7.50,224,0.875,bilinear
efficientnet_b0,92.550,7.450,98.640,1.360,5.29,224,0.875,bicubic vit_small_patch16_224,92.600,7.400,98.390,1.610,48.75,224,0.900,bicubic
legacy_seresnext26_32x4d,92.530,7.470,98.450,1.550,16.79,224,0.875,bicubic tf_efficientnet_lite2,92.590,7.410,98.550,1.450,6.09,260,0.890,bicubic
gernet_s,92.480,7.520,98.460,1.540,8.17,224,0.875,bilinear legacy_seresnext26_32x4d,92.570,7.430,98.420,1.580,16.79,224,0.875,bicubic
selecsls42b,92.470,7.530,98.510,1.490,32.46,224,0.875,bicubic skresnet34,92.570,7.430,98.520,1.480,22.28,224,0.875,bicubic
seresnext26d_32x4d,92.440,7.560,98.550,1.450,16.81,224,0.875,bicubic gluon_resnet50_v1b,92.560,7.440,98.550,1.450,25.56,224,0.875,bicubic
tf_efficientnet_b0,92.360,7.640,98.470,1.530,5.29,224,0.875,bicubic regnetx_016,92.540,7.460,98.550,1.450,9.19,224,0.875,bicubic
skresnet34,92.340,7.660,98.520,1.480,22.28,224,0.875,bicubic efficientnet_b0,92.480,7.520,98.680,1.320,5.29,224,0.875,bicubic
tf_efficientnet_lite1,92.330,7.670,98.510,1.490,5.42,240,0.882,bicubic selecsls42b,92.480,7.520,98.440,1.560,32.46,224,0.875,bicubic
densenetblur121d,92.310,7.690,98.390,1.610,8.00,224,0.875,bicubic gernet_s,92.440,7.560,98.500,1.500,8.17,224,0.875,bilinear
dpn68,92.290,7.710,98.580,1.420,12.61,224,0.875,bicubic seresnext26d_32x4d,92.440,7.560,98.540,1.460,16.81,224,0.875,bicubic
tf_mixnet_m,92.270,7.730,98.490,1.510,5.01,224,0.875,bicubic densenetblur121d,92.400,7.600,98.410,1.590,8.00,224,0.875,bicubic
mixnet_m,92.210,7.790,98.360,1.640,5.01,224,0.875,bicubic tf_efficientnet_b0,92.400,7.600,98.470,1.530,5.29,224,0.875,bicubic
densenet169,92.200,7.800,98.570,1.430,14.15,224,0.875,bicubic hardcorenas_c,92.330,7.670,98.340,1.660,5.52,224,0.875,bilinear
tv_resnet50,92.180,7.820,98.420,1.580,25.56,224,0.875,bilinear tf_efficientnet_lite1,92.310,7.690,98.490,1.510,5.42,240,0.882,bicubic
mobilenetv2_140,92.110,7.890,98.250,1.750,6.11,224,0.875,bicubic densenet169,92.300,7.700,98.590,1.410,14.15,224,0.875,bicubic
resnet26d,92.100,7.900,98.460,1.540,16.01,224,0.875,bicubic mixnet_m,92.270,7.730,98.350,1.650,5.01,224,0.875,bicubic
ese_vovnet19b_dw,92.090,7.910,98.510,1.490,6.54,224,0.875,bicubic dpn68,92.240,7.760,98.610,1.390,12.61,224,0.875,bicubic
tf_efficientnet_es,92.080,7.920,98.460,1.540,5.44,224,0.875,bicubic resnet26d,92.230,7.770,98.450,1.550,16.01,224,0.875,bicubic
densenet121,91.950,8.050,98.180,1.820,7.98,224,0.875,bicubic tf_mixnet_m,92.200,7.800,98.420,1.580,5.01,224,0.875,bicubic
regnety_008,91.810,8.190,98.410,1.590,6.26,224,0.875,bicubic tv_resnet50,92.140,7.860,98.420,1.580,25.56,224,0.875,bilinear
mixnet_s,91.800,8.200,98.330,1.670,4.13,224,0.875,bicubic tf_efficientnet_es,92.100,7.900,98.440,1.560,5.44,224,0.875,bicubic
tf_mixnet_s,91.660,8.340,98.160,1.840,4.13,224,0.875,bicubic mobilenetv2_140,92.030,7.970,98.250,1.750,6.11,224,0.875,bicubic
semnasnet_100,91.620,8.380,98.310,1.690,3.89,224,0.875,bicubic ese_vovnet19b_dw,92.010,7.990,98.510,1.490,6.54,224,0.875,bicubic
repvgg_b0,91.600,8.400,98.450,1.550,15.82,224,0.875,bilinear hardcorenas_b,91.940,8.060,98.400,1.600,5.18,224,0.875,bilinear
regnety_006,91.570,8.430,98.390,1.610,6.06,224,0.875,bicubic densenet121,91.940,8.060,98.280,1.720,7.98,224,0.875,bicubic
mobilenetv3_rw,91.550,8.450,98.340,1.660,5.48,224,0.875,bicubic regnety_008,91.900,8.100,98.420,1.580,6.26,224,0.875,bicubic
legacy_seresnet34,91.530,8.470,98.320,1.680,21.96,224,0.875,bilinear mixnet_s,91.780,8.220,98.300,1.700,4.13,224,0.875,bicubic
mobilenetv3_large_100,91.490,8.510,98.310,1.690,5.48,224,0.875,bicubic efficientnet_es_pruned,91.700,8.300,98.420,1.580,5.44,224,0.875,bicubic
tv_densenet121,91.430,8.570,98.280,1.720,7.98,224,0.875,bicubic repvgg_b0,91.680,8.320,98.450,1.550,15.82,224,0.875,bilinear
tf_mobilenetv3_large_100,91.410,8.590,98.290,1.710,5.48,224,0.875,bilinear tf_mixnet_s,91.680,8.320,98.240,1.760,4.13,224,0.875,bicubic
resnet26,91.390,8.610,98.360,1.640,16.00,224,0.875,bicubic semnasnet_100,91.660,8.340,98.270,1.730,3.89,224,0.875,bicubic
regnetx_008,91.340,8.660,98.350,1.650,7.26,224,0.875,bicubic hardcorenas_a,91.620,8.380,98.170,1.830,5.26,224,0.875,bilinear
resnet34,91.330,8.670,98.160,1.840,21.80,224,0.875,bilinear regnety_006,91.570,8.430,98.430,1.570,6.06,224,0.875,bicubic
hrnet_w18_small_v2,91.290,8.710,98.400,1.600,15.60,224,0.875,bilinear mobilenetv3_rw,91.550,8.450,98.270,1.730,5.48,224,0.875,bicubic
tf_efficientnet_lite0,91.280,8.720,98.060,1.940,4.65,224,0.875,bicubic mobilenetv3_large_100,91.480,8.520,98.320,1.680,5.48,224,0.875,bicubic
dla34,91.230,8.770,98.140,1.860,15.74,224,0.875,bilinear legacy_seresnet34,91.480,8.520,98.200,1.800,21.96,224,0.875,bilinear
efficientnet_lite0,91.220,8.780,98.190,1.810,4.65,224,0.875,bicubic resnet26,91.440,8.560,98.280,1.720,16.00,224,0.875,bicubic
mnasnet_100,91.210,8.790,98.030,1.970,4.38,224,0.875,bicubic tf_mobilenetv3_large_100,91.420,8.580,98.260,1.740,5.48,224,0.875,bilinear
resnest14d,91.170,8.830,98.300,1.700,10.61,224,0.875,bilinear tv_densenet121,91.400,8.600,98.250,1.750,7.98,224,0.875,bicubic
fbnetc_100,91.140,8.860,97.870,2.130,5.57,224,0.875,bilinear mobilenetv2_110d,91.350,8.650,98.190,1.810,4.52,224,0.875,bicubic
swsl_resnet18,91.130,8.870,98.230,1.770,11.69,224,0.875,bilinear tf_efficientnet_lite0,91.300,8.700,98.090,1.910,4.65,224,0.875,bicubic
vgg19_bn,91.120,8.880,98.160,1.840,143.68,224,0.875,bilinear fbnetc_100,91.270,8.730,97.830,2.170,5.57,224,0.875,bilinear
vit_deit_tiny_distilled_patch16_224,91.120,8.880,98.310,1.690,5.91,224,0.900,bicubic efficientnet_lite0,91.260,8.740,98.250,1.750,4.65,224,0.875,bicubic
mobilenetv2_110d,91.100,8.900,98.140,1.860,4.52,224,0.875,bicubic dla34,91.240,8.760,98.180,1.820,15.74,224,0.875,bilinear
gluon_resnet34_v1b,91.020,8.980,98.140,1.860,21.80,224,0.875,bicubic resnet34,91.200,8.800,98.240,1.760,21.80,224,0.875,bilinear
regnetx_006,90.920,9.080,98.070,1.930,6.20,224,0.875,bicubic mnasnet_100,91.200,8.800,98.050,1.950,4.38,224,0.875,bicubic
ssl_resnet18,90.840,9.160,98.020,1.980,11.69,224,0.875,bilinear regnetx_008,91.180,8.820,98.380,1.620,7.26,224,0.875,bicubic
regnety_004,90.750,9.250,98.070,1.930,4.34,224,0.875,bicubic hrnet_w18_small_v2,91.170,8.830,98.340,1.660,15.60,224,0.875,bilinear
spnasnet_100,90.640,9.360,97.920,2.080,4.42,224,0.875,bilinear resnest14d,91.130,8.870,98.330,1.670,10.61,224,0.875,bilinear
vgg16_bn,90.620,9.380,98.050,1.950,138.37,224,0.875,bilinear gluon_resnet34_v1b,91.100,8.900,98.180,1.820,21.80,224,0.875,bicubic
tv_resnet34,90.390,9.610,97.930,2.070,21.80,224,0.875,bilinear vit_deit_tiny_distilled_patch16_224,91.100,8.900,98.270,1.730,5.91,224,0.900,bicubic
tf_mobilenetv3_large_075,90.360,9.640,97.840,2.160,3.99,224,0.875,bilinear swsl_resnet18,91.090,8.910,98.210,1.790,11.69,224,0.875,bilinear
skresnet18,90.180,9.820,97.860,2.140,11.96,224,0.875,bicubic vgg19_bn,90.990,9.010,98.110,1.890,143.68,224,0.875,bilinear
mobilenetv2_100,89.890,10.110,97.850,2.150,3.50,224,0.875,bicubic pit_ti_distilled_224,90.900,9.100,98.220,1.780,5.10,224,0.900,bicubic
resnet18d,89.860,10.140,97.900,2.100,11.71,224,0.875,bicubic regnety_004,90.780,9.220,98.080,1.920,4.34,224,0.875,bicubic
vgg19,89.690,10.310,97.580,2.420,143.67,224,0.875,bilinear regnetx_006,90.760,9.240,98.100,1.900,6.20,224,0.875,bicubic
hrnet_w18_small,89.640,10.360,97.840,2.160,13.19,224,0.875,bilinear ssl_resnet18,90.700,9.300,98.020,1.980,11.69,224,0.875,bilinear
vit_deit_tiny_patch16_224,89.630,10.370,97.930,2.070,5.72,224,0.900,bicubic spnasnet_100,90.610,9.390,97.950,2.050,4.42,224,0.875,bilinear
regnetx_004,89.610,10.390,97.780,2.220,5.16,224,0.875,bicubic vgg16_bn,90.540,9.460,97.990,2.010,138.37,224,0.875,bilinear
vgg16,89.490,10.510,97.530,2.470,138.36,224,0.875,bilinear pit_ti_224,90.420,9.580,98.010,1.990,4.85,224,0.900,bicubic
legacy_seresnet18,89.290,10.710,97.790,2.210,11.78,224,0.875,bicubic tf_mobilenetv3_large_075,90.320,9.680,97.870,2.130,3.99,224,0.875,bilinear
tf_mobilenetv3_large_minimal_100,89.290,10.710,97.380,2.620,3.92,224,0.875,bilinear tv_resnet34,90.290,9.710,97.980,2.020,21.80,224,0.875,bilinear
vgg13_bn,89.200,10.800,97.640,2.360,133.05,224,0.875,bilinear skresnet18,90.160,9.840,97.780,2.220,11.96,224,0.875,bicubic
gluon_resnet18_v1b,88.770,11.230,97.080,2.920,11.69,224,0.875,bicubic resnet18d,89.990,10.010,97.830,2.170,11.71,224,0.875,bicubic
vgg11_bn,88.310,11.690,97.290,2.710,132.87,224,0.875,bilinear hrnet_w18_small,89.880,10.120,97.900,2.100,13.19,224,0.875,bilinear
regnety_002,88.180,11.820,97.430,2.570,3.16,224,0.875,bicubic mobilenetv2_100,89.830,10.170,97.830,2.170,3.50,224,0.875,bicubic
resnet18,88.050,11.950,97.110,2.890,11.69,224,0.875,bilinear vgg19,89.680,10.320,97.550,2.450,143.67,224,0.875,bilinear
vgg13,87.560,12.440,97.160,2.840,133.05,224,0.875,bilinear vit_deit_tiny_patch16_224,89.620,10.380,97.960,2.040,5.72,224,0.900,bicubic
vgg11,87.370,12.630,97.010,2.990,132.86,224,0.875,bilinear regnetx_004,89.460,10.540,97.770,2.230,5.16,224,0.875,bicubic
regnetx_002,87.210,12.790,96.900,3.100,2.68,224,0.875,bicubic vgg16,89.360,10.640,97.520,2.480,138.36,224,0.875,bilinear
dla60x_c,87.190,12.810,97.090,2.910,1.32,224,0.875,bilinear legacy_seresnet18,89.270,10.730,97.680,2.320,11.78,224,0.875,bicubic
tf_mobilenetv3_small_100,85.870,14.130,96.310,3.690,2.54,224,0.875,bilinear vgg13_bn,89.200,10.800,97.530,2.470,133.05,224,0.875,bilinear
dla46x_c,85.690,14.310,96.460,3.540,1.07,224,0.875,bilinear tf_mobilenetv3_large_minimal_100,89.180,10.820,97.320,2.680,3.92,224,0.875,bilinear
tf_mobilenetv3_small_075,84.770,15.230,95.880,4.120,2.04,224,0.875,bilinear gluon_resnet18_v1b,88.660,11.340,97.100,2.900,11.69,224,0.875,bicubic
dla46_c,84.690,15.310,96.220,3.780,1.30,224,0.875,bilinear vgg11_bn,88.390,11.610,97.270,2.730,132.87,224,0.875,bilinear
tf_mobilenetv3_small_minimal_100,82.770,17.230,95.080,4.920,2.04,224,0.875,bilinear regnety_002,88.200,11.800,97.430,2.570,3.16,224,0.875,bicubic
resnet18,88.150,11.850,97.120,2.880,11.69,224,0.875,bilinear
vgg13,87.570,12.430,97.120,2.880,133.05,224,0.875,bilinear
regnetx_002,87.380,12.620,96.990,3.010,2.68,224,0.875,bicubic
vgg11,87.340,12.660,97.110,2.890,132.86,224,0.875,bilinear
dla60x_c,87.110,12.890,97.140,2.860,1.32,224,0.875,bilinear
tf_mobilenetv3_small_100,85.960,14.040,96.400,3.600,2.54,224,0.875,bilinear
dla46x_c,85.480,14.520,96.440,3.560,1.07,224,0.875,bilinear
dla46_c,84.660,15.340,96.200,3.800,1.30,224,0.875,bilinear
tf_mobilenetv3_small_075,84.530,15.470,95.890,4.110,2.04,224,0.875,bilinear
tf_mobilenetv3_small_minimal_100,82.670,17.330,95.000,5.000,2.04,224,0.875,bilinear

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
2 tf_efficientnet_l2_ns 97.760 97.780 2.240 2.220 99.880 99.890 0.120 0.110 480.31 800 0.960 bicubic
3 tf_efficientnet_l2_ns_475 97.760 97.750 2.240 2.250 99.820 0.180 480.31 475 0.936 bicubic
4 tf_efficientnet_b7_ns 97.200 2.800 99.700 0.300 66.35 600 0.949 bicubic
5 tf_efficientnet_b6_ns swin_large_patch4_window12_384 97.010 97.170 2.990 2.830 99.710 99.680 0.290 0.320 43.04 196.74 528 384 0.942 1.000 bicubic
6 ig_resnext101_32x48d swin_base_patch4_window12_384 96.980 97.120 3.020 2.880 99.660 99.780 0.340 0.220 828.41 87.90 224 384 0.875 1.000 bilinear bicubic
7 dm_nfnet_f6 tf_efficientnet_b6_ns 96.970 97.020 3.030 2.980 99.740 99.710 0.260 0.290 438.36 43.04 576 528 0.956 0.942 bicubic
8 tf_efficientnet_b5_ns dm_nfnet_f6 96.880 96.990 3.120 3.010 99.640 99.740 0.360 0.260 30.39 438.36 456 576 0.934 0.956 bicubic
9 resnetv2_152x4_bitm ig_resnext101_32x48d 96.860 96.970 3.140 3.030 99.660 99.670 0.340 0.330 936.53 828.41 480 224 1.000 0.875 bilinear
10 ig_resnext101_32x32d swin_large_patch4_window7_224 96.850 96.950 3.150 3.050 99.520 99.660 0.480 0.340 468.53 196.53 224 0.875 0.900 bilinear bicubic
11 dm_nfnet_f4 resnetv2_152x4_bitm 96.800 96.880 3.200 3.120 99.640 99.660 0.360 0.340 316.07 936.53 512 480 0.951 1.000 bicubic bilinear
12 dm_nfnet_f5 tf_efficientnet_b5_ns 96.720 96.870 3.280 3.130 99.680 99.640 0.320 0.360 377.21 30.39 544 456 0.954 0.934 bicubic
13 tf_efficientnet_b8 dm_nfnet_f4 96.700 96.820 3.300 3.180 99.520 99.600 0.480 0.400 87.41 316.07 672 512 0.954 0.951 bicubic
14 tf_efficientnet_b4_ns ig_resnext101_32x32d 96.680 96.780 3.320 3.220 99.680 99.530 0.320 0.470 19.34 468.53 380 224 0.922 0.875 bicubic bilinear
15 dm_nfnet_f3 dm_nfnet_f5 96.660 96.710 3.340 3.290 99.640 99.680 0.360 0.320 254.92 377.21 416 544 0.940 0.954 bicubic
16 tf_efficientnet_b7 tf_efficientnet_b4_ns 96.580 96.710 3.420 3.290 99.520 99.640 0.480 0.360 66.35 19.34 600 380 0.949 0.922 bicubic
17 tf_efficientnet_b8_ap tf_efficientnet_b8 96.560 96.700 3.440 3.300 99.540 99.530 0.460 0.470 87.41 672 0.954 bicubic
18 resnetv2_152x2_bitm swin_base_patch4_window7_224 96.510 96.680 3.490 3.320 99.620 99.660 0.380 0.340 236.34 87.77 480 224 1.000 0.900 bilinear bicubic
19 vit_deit_base_distilled_patch16_384 dm_nfnet_f3 96.490 96.630 3.510 3.370 99.590 99.640 0.410 0.360 87.63 254.92 384 416 1.000 0.940 bicubic
20 vit_base_resnet50_384 tf_efficientnet_b7 96.460 96.580 3.540 3.420 99.670 99.510 0.330 0.490 98.95 66.35 384 600 1.000 0.949 bicubic
21 dm_nfnet_f2 tf_efficientnet_b8_ap 96.460 96.550 3.540 3.450 99.560 99.540 0.440 0.460 193.78 87.41 352 672 0.920 0.954 bicubic
22 ecaresnet269d vit_deit_base_distilled_patch16_384 96.420 96.510 3.580 3.490 99.640 99.590 0.360 0.410 102.09 87.63 352 384 1.000 bicubic
23 ig_resnext101_32x16d dm_nfnet_f2 96.380 96.500 3.620 3.500 99.560 99.570 0.440 0.430 194.03 193.78 224 352 0.875 0.920 bilinear bicubic
24 vit_large_patch16_384 resnetv2_152x2_bitm 96.380 96.500 3.620 3.500 99.640 99.620 0.360 0.380 304.72 236.34 384 480 1.000 bicubic bilinear
25 ecaresnet269d 96.460 3.540 99.610 0.390 102.09 352 1.000 bicubic
26 vit_base_r50_s16_384 96.450 3.550 99.660 0.340 98.95 384 1.000 bicubic
27 ig_resnext101_32x16d 96.440 3.560 99.540 0.460 194.03 224 0.875 bilinear
28 dm_nfnet_f1 96.370 3.630 99.470 0.530 132.63 320 0.910 bicubic
29 tf_efficientnet_b6_ap 96.370 3.630 99.550 0.450 43.04 528 0.942 bicubic
30 resnetv2_101x3_bitm 96.350 96.360 3.650 3.640 99.600 0.400 387.93 480 1.000 bilinear
31 vit_large_patch16_384 96.360 3.640 99.630 0.370 304.72 384 1.000 bicubic
32 tf_efficientnet_b7_ap 96.350 3.650 99.590 0.410 66.35 600 0.949 bicubic
33 dm_nfnet_f1 seresnet152d 96.340 96.310 3.660 3.690 99.460 99.510 0.540 0.490 132.63 66.84 320 0.910 1.000 bicubic
34 tf_efficientnet_b6 96.320 96.290 3.680 3.710 99.530 99.520 0.470 0.480 43.04 528 0.942 bicubic
35 swsl_resnext101_32x16d 96.290 96.270 3.710 3.730 99.540 99.500 0.460 0.500 194.03 224 0.875 bilinear
36 seresnet152d swsl_resnext101_32x8d 96.280 96.240 3.720 3.760 99.510 99.590 0.490 0.410 66.84 88.79 320 224 1.000 0.875 bicubic bilinear
37 swsl_resnext101_32x8d vit_base_patch16_384 96.270 96.190 3.730 3.810 99.590 99.530 0.410 0.470 88.79 86.86 224 384 0.875 1.000 bilinear bicubic
38 vit_base_patch16_384 resnetv2_50x3_bitm 96.190 96.140 3.810 3.860 99.550 99.620 0.450 0.380 86.86 217.32 384 480 1.000 bicubic bilinear
39 resnest269e 96.140 96.120 3.860 3.880 99.540 99.520 0.460 0.480 110.93 416 0.928 bicubic
40 resnet200d 96.130 96.110 3.870 3.890 99.440 99.460 0.560 0.540 64.69 320 1.000 bicubic
41 resnetv2_50x3_bitm tf_efficientnet_b3_ns 96.130 96.100 3.870 3.900 99.620 99.480 0.380 0.520 217.32 12.23 480 300 1.000 0.904 bilinear bicubic
resnest200e 96.080 3.920 99.450 0.550 70.20 320 0.909 bicubic
42 tf_efficientnet_b5_ap 96.080 3.920 99.540 0.460 30.39 456 0.934 bicubic
43 tf_efficientnet_b3_ns resnest200e 96.040 96.070 3.960 3.930 99.460 99.480 0.540 0.520 12.23 70.20 300 320 0.904 0.909 bicubic
44 swsl_resnext101_32x4d pit_b_distilled_224 96.030 96.070 3.970 3.930 99.540 99.380 0.460 0.620 44.18 74.79 224 0.875 0.900 bilinear bicubic
45 tf_efficientnet_b5 swsl_resnext101_32x4d 95.970 96.050 4.030 3.950 99.460 99.530 0.540 0.470 30.39 44.18 456 224 0.934 0.875 bicubic bilinear
46 ig_resnext101_32x8d tf_efficientnet_b5 95.880 95.980 4.120 4.020 99.350 99.450 0.650 0.550 88.79 30.39 224 456 0.875 0.934 bilinear bicubic
47 resnet152d eca_nfnet_l1 95.870 95.930 4.130 4.070 99.420 99.500 0.580 0.500 60.21 41.41 320 1.000 bicubic
48 resnet101d ig_resnext101_32x8d 95.740 95.930 4.260 4.070 99.420 99.380 0.580 0.620 44.57 88.79 320 224 1.000 0.875 bicubic bilinear
49 vit_deit_base_distilled_patch16_224 regnety_160 95.730 95.880 4.270 4.120 99.290 99.560 0.710 0.440 87.34 83.59 224 288 0.900 1.000 bicubic
50 dm_nfnet_f0 resnet152d 95.650 95.870 4.350 4.130 99.300 99.430 0.700 0.570 71.49 60.21 256 320 0.900 1.000 bicubic
51 swsl_resnext50_32x4d resnet101d 95.630 95.750 4.370 4.250 99.450 99.440 0.550 0.560 25.03 44.57 224 320 0.875 1.000 bilinear bicubic
52 vit_deit_base_patch16_384 vit_deit_base_distilled_patch16_224 95.620 95.750 4.380 4.250 99.240 99.280 0.760 0.720 86.86 87.34 384 224 1.000 0.900 bicubic
53 tf_efficientnet_b4 swin_small_patch4_window7_224 95.580 95.720 4.420 4.280 99.290 0.710 19.34 49.61 380 224 0.922 0.900 bicubic
54 resnest101e vit_deit_base_patch16_384 95.560 95.650 4.440 4.350 99.280 99.240 0.720 0.760 48.28 86.86 256 384 0.875 1.000 bilinear bicubic
55 tresnet_xl_448 dm_nfnet_f0 95.520 95.630 4.480 4.370 99.340 99.300 0.660 0.700 78.44 71.49 448 256 0.875 0.900 bilinear bicubic
56 tf_efficientnet_b4_ap swsl_resnext50_32x4d 95.520 95.620 4.480 4.380 99.420 99.440 0.580 0.560 19.34 25.03 380 224 0.922 0.875 bicubic bilinear
57 resnetv2_101x1_bitm tf_efficientnet_b4 95.510 95.590 4.490 4.410 99.520 99.330 0.480 0.670 44.54 19.34 480 380 1.000 0.922 bilinear bicubic
58 ssl_resnext101_32x16d resnest101e 95.470 95.570 4.530 4.430 99.410 99.270 0.590 0.730 194.03 48.28 224 256 0.875 bilinear
59 tf_efficientnet_b2_ns 95.460 95.520 4.540 4.480 99.390 99.340 0.610 0.660 9.11 260 0.890 bicubic
60 tresnet_l_448 resnetv2_101x1_bitm 95.420 95.510 4.580 4.490 99.300 99.510 0.700 0.490 55.99 44.54 448 480 0.875 1.000 bilinear
61 pnasnet5large tresnet_xl_448 95.370 95.510 4.630 4.490 99.120 99.340 0.880 0.660 86.06 78.44 331 448 0.911 0.875 bicubic bilinear
62 nasnetalarge tf_efficientnet_b4_ap 95.320 95.490 4.680 4.510 99.140 99.390 0.860 0.610 88.75 19.34 331 380 0.911 0.922 bicubic
63 swsl_resnet50 eca_nfnet_l0 95.290 95.470 4.710 4.530 99.350 99.380 0.650 0.620 25.56 24.14 224 288 0.875 1.000 bilinear bicubic
64 vit_base_patch16_224 regnety_032 95.290 95.470 4.710 4.530 99.230 99.320 0.770 0.680 86.57 19.44 224 288 0.900 1.000 bicubic
65 ssl_resnext101_32x8d tresnet_l_448 95.290 95.410 4.710 4.590 99.310 99.300 0.690 0.700 88.79 55.99 224 448 0.875 bilinear
66 vit_large_patch16_224 ssl_resnext101_32x16d 95.280 95.410 4.720 4.590 99.310 99.410 0.690 0.590 304.33 194.03 224 0.900 0.875 bicubic bilinear
67 vit_base_patch32_384 nfnet_l0 95.270 95.390 4.730 4.610 99.190 99.420 0.810 0.580 88.30 35.07 384 288 1.000 bicubic
68 vit_large_patch32_384 pnasnet5large 95.240 95.360 4.760 4.640 99.310 99.130 0.690 0.870 306.63 86.06 384 331 1.000 0.911 bicubic
69 ecaresnet101d ssl_resnext101_32x8d 95.210 95.340 4.790 4.660 99.240 99.320 0.760 0.680 44.57 88.79 224 0.875 bicubic bilinear
70 efficientnet_b3a vit_large_patch16_224 95.170 95.290 4.830 4.710 99.220 99.310 0.780 0.690 12.23 304.33 320 224 1.000 0.900 bicubic
71 ssl_resnext101_32x4d vit_base_patch32_384 95.150 95.260 4.850 4.740 99.320 99.180 0.680 0.820 44.18 88.30 224 384 0.875 1.000 bilinear bicubic
72 regnety_032 vit_large_patch32_384 95.130 95.240 4.870 4.760 99.220 99.320 0.780 0.680 19.44 306.63 224 384 0.875 1.000 bicubic
73 ecaresnet50t vit_base_patch16_224 95.080 95.210 4.920 4.790 99.270 99.230 0.730 0.770 25.57 86.57 320 224 0.950 0.900 bicubic
74 tresnet_xl swsl_resnet50 94.990 95.200 5.010 4.800 99.220 99.390 0.780 0.610 78.44 25.56 224 0.875 bilinear
75 vit_deit_base_patch16_224 ecaresnet101d 94.970 95.160 5.030 4.840 99.000 99.230 1.000 0.770 86.57 44.57 224 0.900 0.875 bicubic
76 gernet_l ssl_resnext101_32x4d 94.940 95.160 5.060 4.840 99.180 99.300 0.820 0.700 31.08 44.18 256 224 0.875 bilinear
77 tf_efficientnet_b3 nasnetalarge 94.900 95.150 5.100 4.850 99.140 99.130 0.860 0.870 12.23 88.75 300 331 0.904 0.911 bicubic
78 efficientnet_b3 efficientnet_b3a 94.890 95.140 5.110 4.860 99.190 99.210 0.810 0.790 12.23 300 320 0.904 1.000 bicubic
79 tf_efficientnet_b3_ap ecaresnet50t 94.890 95.070 5.110 4.930 99.130 99.290 0.870 0.710 12.23 25.57 300 320 0.904 0.950 bicubic
80 tf_efficientnet_lite4 tresnet_xl 94.880 95.060 5.120 4.940 99.110 99.260 0.890 0.740 13.01 78.44 380 224 0.920 0.875 bilinear
81 tf_efficientnet_b1_ns vit_deit_base_patch16_224 94.850 95.010 5.150 4.990 99.240 98.980 0.760 1.020 7.79 86.57 240 224 0.882 0.900 bicubic
82 tresnet_l efficientnet_v2s 94.830 94.990 5.170 5.010 99.060 99.080 0.940 0.920 55.99 23.94 224 0.875 1.000 bilinear bicubic
83 seresnext50_32x4d efficientnet_b3 94.770 94.970 5.230 5.030 99.120 99.230 0.880 0.770 27.56 12.23 224 300 0.875 0.904 bicubic
84 legacy_senet154 tf_efficientnet_b3_ap 94.760 94.970 5.240 5.030 99.100 99.110 0.900 0.890 115.09 12.23 224 300 0.875 0.904 bilinear bicubic
85 resnest50d_4s2x40d gernet_l 94.720 94.930 5.280 5.070 99.130 99.200 0.870 0.800 30.42 31.08 224 256 0.875 bicubic bilinear
86 ssl_resnext50_32x4d tf_efficientnet_b3 94.720 94.910 5.280 5.090 99.190 99.110 0.810 0.890 25.03 12.23 224 300 0.875 0.904 bilinear bicubic
87 wide_resnet50_2 tresnet_l 94.690 94.900 5.310 5.100 99.090 99.030 0.910 0.970 68.88 55.99 224 0.875 bicubic bilinear
88 tresnet_m_448 tf_efficientnet_lite4 94.670 94.870 5.330 5.130 99.140 99.090 0.860 0.910 31.39 13.01 448 380 0.875 0.920 bilinear
89 gluon_resnet152_v1s tf_efficientnet_b1_ns 94.650 94.860 5.350 5.140 99.070 99.250 0.930 0.750 60.32 7.79 224 240 0.875 0.882 bicubic
90 gluon_senet154 seresnext50_32x4d 94.650 94.820 5.350 5.180 98.990 99.130 1.010 0.870 115.09 27.56 224 0.875 bicubic
91 repvgg_b3 pit_b_224 94.630 94.790 5.370 5.210 98.990 98.820 1.010 1.180 123.09 73.76 224 0.875 0.900 bilinear bicubic
92 rexnet_200 legacy_senet154 94.600 94.730 5.400 5.270 99.060 99.100 0.940 0.900 16.37 115.09 224 0.875 bicubic bilinear
93 repvgg_b3g4 pit_s_distilled_224 94.570 94.730 5.430 5.270 99.000 99.190 1.000 0.810 83.83 24.04 224 0.875 0.900 bilinear bicubic
94 vit_deit_small_distilled_patch16_224 gluon_resnet152_v1s 94.570 94.720 5.430 5.280 99.100 99.060 0.900 0.940 22.44 60.32 224 0.900 0.875 bicubic
95 efficientnet_b3_pruned gluon_senet154 94.550 94.710 5.450 5.290 99.060 98.970 0.940 1.030 9.86 115.09 300 224 0.904 0.875 bicubic
96 gluon_seresnext101_64x4d resnest50d_4s2x40d 94.500 94.710 5.500 5.290 98.970 99.130 1.030 0.870 88.23 30.42 224 0.875 bicubic
97 regnety_320 ssl_resnext50_32x4d 94.500 94.700 5.500 5.300 99.150 99.240 0.850 0.760 145.05 25.03 224 0.875 bicubic bilinear
98 resnetv2_50x1_bitm efficientnet_el 94.500 94.670 5.500 5.330 99.260 99.130 0.740 0.870 25.55 10.59 480 300 1.000 0.904 bilinear bicubic
99 resnest50d wide_resnet50_2 94.490 94.670 5.510 5.330 99.000 99.050 1.000 0.950 27.48 68.88 224 0.875 bilinear bicubic
100 gernet_m tresnet_m_448 94.480 94.660 5.520 5.340 98.910 99.150 1.090 0.850 21.14 31.39 224 448 0.875 bilinear
101 gluon_resnet152_v1d rexnet_200 94.470 94.660 5.530 5.340 98.990 99.090 1.010 0.910 60.21 16.37 224 0.875 bicubic
102 ecaresnet101d_pruned gluon_seresnext101_64x4d 94.460 94.650 5.540 5.350 99.130 98.980 0.870 1.020 24.88 88.23 224 0.875 bicubic
103 tf_efficientnet_el resnest50d 94.450 94.620 5.550 5.380 99.100 99.030 0.900 0.970 10.59 27.48 300 224 0.904 0.875 bicubic bilinear
104 nf_resnet50 swin_tiny_patch4_window7_224 94.420 94.620 5.580 5.380 99.100 99.120 0.900 0.880 25.56 28.29 288 224 0.940 0.900 bicubic
105 efficientnet_b2a pit_s_224 94.400 94.590 5.600 5.410 99.050 98.930 0.950 1.070 9.11 23.46 288 224 1.000 0.900 bicubic
106 gluon_seresnext101_32x4d vit_deit_small_distilled_patch16_224 94.400 94.590 5.600 5.410 99.110 99.100 0.890 0.900 48.96 22.44 224 0.875 0.900 bicubic
107 inception_v4 efficientnet_b3_pruned 94.390 94.580 5.610 5.420 98.830 99.070 1.170 0.930 42.68 9.86 299 300 0.875 0.904 bicubic
108 tf_efficientnet_b2_ap tnt_s_patch16_224 94.360 94.580 5.640 5.420 98.970 99.180 1.030 0.820 9.11 23.76 260 224 0.890 0.900 bicubic
109 gluon_resnext101_64x4d resnetv2_50x1_bitm 94.350 94.550 5.650 5.450 98.830 99.250 1.170 0.750 83.46 25.55 224 480 0.875 1.000 bicubic bilinear
110 efficientnet_b2 repvgg_b3 94.340 94.550 5.660 5.450 99.120 98.910 0.880 1.090 9.11 123.09 260 224 0.875 bicubic bilinear
111 resnest50d_1s4x24d gernet_m 94.340 94.550 5.660 5.450 99.060 98.930 0.940 1.070 25.68 21.14 224 0.875 bicubic bilinear
112 gluon_resnet101_v1s regnety_320 94.290 94.520 5.710 5.480 99.040 99.170 0.960 0.830 44.67 145.05 224 0.875 bicubic
113 rexnet_150 repvgg_b3g4 94.280 94.490 5.720 5.510 99.070 99.020 0.930 0.980 9.73 83.83 224 0.875 bicubic bilinear
114 regnety_160 ecaresnet101d_pruned 94.280 94.450 5.720 5.550 99.020 99.100 0.980 0.900 83.59 24.88 224 0.875 bicubic
115 inception_resnet_v2 gluon_seresnext101_32x4d 94.260 94.450 5.740 5.550 98.830 99.090 1.170 0.910 55.84 48.96 299 224 0.897 0.875 bicubic
116 mixnet_xl gluon_resnet152_v1d 94.250 94.440 5.750 5.560 98.840 99.010 1.160 0.990 11.90 60.21 224 0.875 bicubic
117 ssl_resnet50 nf_resnet50 94.250 94.410 5.750 5.590 99.080 99.100 0.920 0.900 25.56 224 288 0.875 0.940 bilinear bicubic
118 dpn92 resnest50d_1s4x24d 94.240 94.390 5.760 5.610 98.950 99.070 1.050 0.930 37.67 25.68 224 0.875 bicubic
119 regnetx_120 inception_v4 94.240 94.380 5.760 5.620 99.190 98.820 0.810 1.180 46.11 42.68 224 299 0.875 bicubic
120 regnetx_320 efficientnet_b2a 94.230 94.370 5.770 5.630 99.060 99.050 0.940 0.950 107.81 9.11 224 288 0.875 1.000 bicubic
121 gluon_resnext101_32x4d tf_efficientnet_el 94.190 94.360 5.810 5.640 98.920 99.100 1.080 0.900 44.18 10.59 224 300 0.875 0.904 bicubic
122 tf_efficientnet_b2 gluon_resnext101_64x4d 94.190 94.350 5.810 5.650 99.030 98.880 0.970 1.120 9.11 83.46 260 224 0.890 0.875 bicubic
123 tf_efficientnet_lite3 efficientnet_b2 94.140 94.340 5.860 5.660 98.940 99.100 1.060 0.900 8.20 9.11 300 260 0.904 0.875 bilinear bicubic
124 ecaresnet50d inception_resnet_v2 94.140 94.340 5.860 5.660 99.030 98.800 0.970 1.200 25.58 55.84 224 299 0.875 0.897 bicubic
125 ecaresnetlight ssl_resnet50 94.120 94.310 5.880 5.690 98.940 99.150 1.060 0.850 30.16 25.56 224 0.875 bicubic bilinear
126 gluon_resnet101_v1d regnetx_120 94.120 94.270 5.880 5.730 98.920 99.190 1.080 0.810 44.57 46.11 224 0.875 bicubic
127 legacy_seresnext101_32x4d rexnet_150 94.110 94.270 5.890 5.730 98.950 99.080 1.050 0.920 48.96 9.73 224 0.875 bilinear bicubic
128 regnety_064 tf_efficientnet_b2_ap 94.110 94.270 5.890 5.730 99.020 98.950 0.980 1.050 30.58 9.11 224 260 0.875 0.890 bicubic
129 resnet50d mixnet_xl 94.110 94.230 5.890 5.770 98.960 98.820 1.040 1.180 25.58 11.90 224 0.875 bicubic
130 seresnet50 tf_efficientnet_b2 94.100 94.210 5.900 5.790 98.980 99.030 1.020 0.970 28.09 9.11 224 260 0.875 0.890 bicubic
131 cspdarknet53 regnetx_320 94.090 94.210 5.910 5.790 98.970 99.050 1.030 0.950 27.64 107.81 256 224 0.887 0.875 bilinear bicubic
132 ens_adv_inception_resnet_v2 dpn92 94.070 94.190 5.930 5.810 98.790 98.930 1.210 1.070 55.84 37.67 299 224 0.897 0.875 bicubic
133 gluon_seresnext50_32x4d ecaresnet50d 94.040 94.190 5.960 5.810 98.900 99.020 1.100 0.980 27.56 25.58 224 0.875 bicubic
134 dla102x2 gluon_resnet101_v1d 94.040 94.170 5.960 5.830 99.070 98.940 0.930 1.060 41.28 44.57 224 0.875 bilinear bicubic
135 tresnet_m gluon_resnet101_v1s 94.020 94.170 5.980 5.830 98.820 99.010 1.180 0.990 31.39 44.67 224 0.875 bilinear bicubic
136 gluon_xception65 gluon_seresnext50_32x4d 94.010 94.170 5.990 5.830 99.010 98.910 0.990 1.090 39.92 27.56 299 224 0.903 0.875 bicubic
137 regnetx_160 ecaresnetlight 94.010 94.140 5.990 5.860 99.120 98.950 0.880 1.050 54.28 30.16 224 0.875 bicubic
138 gluon_resnet152_v1b regnety_064 94.000 94.140 6.000 5.860 98.770 99.030 1.230 0.970 60.19 30.58 224 0.875 bicubic
139 dpn107 ens_adv_inception_resnet_v2 93.990 94.130 6.010 5.870 98.870 98.790 1.130 1.210 86.92 55.84 224 299 0.875 0.897 bicubic
140 resnext50d_32x4d legacy_seresnext101_32x4d 93.990 94.130 6.010 5.870 98.790 98.970 1.210 1.030 25.05 48.96 224 0.875 bicubic bilinear
141 regnety_120 tf_efficientnet_lite3 93.960 94.130 6.040 5.870 99.060 98.960 0.940 1.040 51.82 8.20 224 300 0.875 0.904 bicubic bilinear
142 hrnet_w64 gluon_resnext101_32x4d 93.950 94.120 6.050 5.880 98.960 98.930 1.040 1.070 128.06 44.18 224 0.875 bilinear bicubic
143 ese_vovnet39b efficientnet_el_pruned 93.940 94.090 6.060 5.910 98.930 99.010 1.070 0.990 24.57 10.59 224 300 0.875 0.904 bicubic
144 hrnet_w48 cspdarknet53 93.930 94.090 6.070 5.910 99.020 98.980 0.980 1.020 77.47 27.64 224 256 0.875 0.887 bilinear
145 ecaresnet26t seresnet50 93.920 94.080 6.080 5.920 98.940 98.970 1.060 1.030 16.01 28.09 320 224 0.950 0.875 bicubic
146 efficientnet_b2_pruned resnet50d 93.920 94.070 6.080 5.930 98.910 98.920 1.090 1.080 8.31 25.58 260 224 0.890 0.875 bicubic
147 regnetx_080 tresnet_m 93.910 94.070 6.090 5.930 98.910 98.830 1.090 1.170 39.57 31.39 224 0.875 bicubic bilinear
148 dpn98 gluon_resnet152_v1b 93.900 94.030 6.100 5.970 98.930 98.740 1.070 1.260 61.57 60.19 224 0.875 bicubic
149 gluon_resnet152_v1c hrnet_w48 93.900 94.030 6.100 5.970 98.850 99.040 1.150 0.960 60.21 77.47 224 0.875 bicubic bilinear
150 skresnext50_32x4d gluon_xception65 93.900 94.010 6.100 5.990 98.800 99.020 1.200 0.980 27.48 39.92 224 299 0.875 0.903 bicubic
151 regnety_120 94.010 5.990 99.030 0.970 51.82 224 0.875 bicubic
152 vit_deit_small_patch16_224 94.000 6.000 98.960 1.040 22.05 224 0.900 bicubic
153 dla102x2 94.000 6.000 99.030 0.970 41.28 224 0.875 bilinear
154 dpn107 93.960 6.040 98.840 1.160 86.92 224 0.875 bicubic
155 skresnext50_32x4d 93.950 6.050 98.820 1.180 27.48 224 0.875 bicubic
156 dpn98 93.940 6.060 98.920 1.080 61.57 224 0.875 bicubic
157 ecaresnet26t 93.940 6.060 98.920 1.080 16.01 320 0.950 bicubic
158 nf_regnet_b1 93.890 6.110 98.750 1.250 10.22 288 0.900 bicubic
159 regnety_080 93.890 6.110 99.000 1.000 39.18 224 0.875 bicubic
160 xception71 93.890 6.110 98.950 1.050 42.34 299 0.903 bicubic
161 vit_deit_small_patch16_224 gluon_resnet152_v1c 93.890 93.880 6.110 6.120 98.970 98.800 1.030 1.200 22.05 60.21 224 0.900 0.875 bicubic
162 repvgg_b2g4 regnetx_160 93.890 93.880 6.110 6.120 98.920 99.090 1.080 0.910 61.76 54.28 224 0.875 bilinear bicubic
163 nf_regnet_b1 cspresnet50 93.890 93.860 6.110 6.140 98.790 98.870 1.210 1.130 10.22 21.62 288 256 0.900 0.887 bicubic bilinear
164 resnext50_32x4d ese_vovnet39b 93.850 6.150 98.790 98.900 1.210 1.100 25.03 24.57 224 0.875 bicubic
165 cspresnet50 resnext50_32x4d 93.840 6.160 98.900 98.830 1.100 1.170 21.62 25.03 256 224 0.887 0.875 bilinear bicubic
166 ecaresnet50d_pruned hrnet_w64 93.840 93.830 6.160 6.170 98.980 98.930 1.020 1.070 19.94 128.06 224 0.875 bicubic bilinear
167 wide_resnet101_2 ecaresnet50d_pruned 93.840 93.820 6.160 6.180 98.800 99.000 1.200 1.000 126.89 19.94 224 0.875 bilinear bicubic
168 cspresnext50 repvgg_b2g4 93.820 6.180 98.840 98.930 1.160 1.070 20.57 61.76 224 0.875 bilinear
169 resnext101_32x8d resnext50d_32x4d 93.820 93.810 6.180 6.190 98.950 98.740 1.050 1.260 88.79 25.05 224 0.875 bilinear bicubic
170 xception65 dla169 93.810 93.800 6.190 6.200 98.850 98.840 1.150 1.160 39.92 53.39 299 224 0.903 0.875 bicubic bilinear
171 regnety_080 efficientnet_b2_pruned 93.800 6.200 99.000 98.910 1.000 1.090 39.18 8.31 224 260 0.875 0.890 bicubic
172 dpn131 regnetx_080 93.770 93.790 6.230 6.210 98.800 98.910 1.200 1.090 79.25 39.57 224 0.875 bicubic
173 gluon_resnet101_v1c resnext101_32x8d 93.750 93.770 6.250 6.230 98.800 98.950 1.200 1.050 44.57 88.79 224 0.875 bicubic bilinear
174 gluon_resnet101_v1b 93.750 93.760 6.250 6.240 98.720 98.700 1.280 1.300 44.55 224 0.875 bicubic
175 efficientnet_em xception65 93.730 93.760 6.270 6.240 98.940 98.860 1.060 1.140 6.90 39.92 240 299 0.882 0.903 bicubic
176 resnetblur50 cspresnext50 93.730 93.760 6.270 6.240 98.810 98.840 1.190 1.160 25.56 20.57 224 0.875 bicubic bilinear
177 regnetx_040 dpn131 93.710 93.760 6.290 6.240 98.880 98.800 1.120 1.200 22.12 79.25 224 0.875 bicubic
178 efficientnet_em 93.740 6.260 98.930 1.070 6.90 240 0.882 bicubic
179 tf_efficientnet_b0_ns 93.740 6.260 98.980 1.020 5.29 224 0.875 bicubic
180 wide_resnet101_2 93.730 6.270 98.810 1.190 126.89 224 0.875 bilinear
181 hrnet_w40 93.710 6.290 98.800 1.200 57.56 224 0.875 bilinear
182 resnetblur50 93.710 6.290 98.810 1.190 25.56 224 0.875 bicubic
183 tf_efficientnet_b1 93.710 6.290 98.800 1.200 7.79 240 0.882 bicubic
184 gluon_resnext50_32x4d gluon_resnet101_v1c 93.700 93.690 6.300 6.310 98.700 98.760 1.300 1.240 25.03 44.57 224 0.875 bicubic
185 tf_efficientnet_b1_ap regnetx_040 93.680 6.320 98.810 98.940 1.190 1.060 7.79 22.12 240 224 0.882 0.875 bicubic
186 xception rexnet_130 93.680 93.670 6.320 6.330 98.820 98.710 1.180 1.290 22.86 7.56 299 224 0.897 0.875 bicubic
187 dla169 gluon_resnext50_32x4d 93.670 93.650 6.330 6.350 98.890 98.690 1.110 1.310 53.39 25.03 224 0.875 bilinear bicubic
188 hrnet_w44 xception 93.660 93.640 6.340 6.360 98.930 98.770 1.070 1.230 67.06 22.86 224 299 0.875 0.897 bilinear bicubic
189 regnetx_064 93.640 93.630 6.360 6.370 99.040 99.050 0.960 0.950 26.21 224 0.875 bicubic
190 rexnet_130 tf_efficientnet_b1_ap 93.620 93.630 6.380 6.370 98.720 98.800 1.280 1.200 7.56 7.79 224 240 0.875 0.882 bicubic
191 dpn68b 93.610 93.620 6.390 6.380 98.770 98.700 1.230 1.300 12.61 224 0.875 bicubic
192 regnety_040 hrnet_w44 93.600 93.620 6.400 6.380 98.990 98.960 1.010 1.040 20.65 67.06 224 0.875 bicubic bilinear
193 repvgg_b2 regnety_040 93.590 93.620 6.410 6.380 99.090 98.950 0.910 1.050 89.02 20.65 224 0.875 bilinear bicubic
194 res2net50_26w_8s res2net50_26w_6s 93.590 6.410 98.710 98.750 1.290 1.250 48.40 37.05 224 0.875 bilinear
195 res2net101_26w_4s gluon_resnet50_v1s 93.590 6.410 98.700 98.840 1.300 1.160 45.21 25.68 224 0.875 bilinear bicubic
196 tf_efficientnet_b0_ns repvgg_b2 93.580 93.590 6.420 6.410 99.010 99.070 0.990 0.930 5.29 89.02 224 0.875 bicubic bilinear
197 gluon_inception_v3 dla60_res2next 93.580 93.570 6.420 6.430 98.830 98.800 1.170 1.200 23.83 17.03 299 224 0.875 bicubic bilinear
198 gluon_resnet50_v1s tf_efficientnet_cc_b1_8e 93.560 93.570 6.440 6.430 98.820 98.690 1.180 1.310 25.68 39.72 224 240 0.875 0.882 bicubic
199 legacy_seresnext50_32x4d gluon_inception_v3 93.560 93.540 6.440 6.460 98.750 98.830 1.250 1.170 27.56 23.83 224 299 0.875 bilinear bicubic
200 tf_efficientnet_cc_b1_8e dla102x 93.560 93.530 6.440 6.470 98.680 98.850 1.320 1.150 39.72 26.31 240 224 0.882 0.875 bicubic bilinear
201 res2net50_26w_6s gluon_resnet50_v1d 93.550 93.530 6.450 6.470 98.800 98.710 1.200 1.290 37.05 25.58 224 0.875 bilinear bicubic
202 dla102x res2net101_26w_4s 93.530 93.520 6.470 6.480 98.860 98.600 1.140 1.400 26.31 45.21 224 0.875 bilinear
203 gluon_resnet50_v1d selecsls60b 93.530 93.500 6.470 6.500 98.830 98.840 1.170 1.160 25.58 32.77 224 0.875 bicubic
204 hrnet_w40 xception41 93.520 93.480 6.480 6.520 98.810 98.750 1.190 1.250 57.56 26.97 224 299 0.875 0.903 bilinear bicubic
205 xception41 resnet50 93.510 93.460 6.490 6.540 98.750 98.600 1.250 1.400 26.97 25.56 299 224 0.903 0.875 bicubic
206 resnet50 res2net50_26w_8s 93.500 93.450 6.500 6.550 98.580 98.700 1.420 1.300 25.56 48.40 224 0.875 bicubic bilinear
207 selecsls60b legacy_seresnet152 93.450 93.440 6.550 6.560 98.850 1.150 32.77 66.82 224 0.875 bicubic bilinear
208 dla60_res2net legacy_seresnext50_32x4d 93.440 93.430 6.560 6.570 98.870 98.800 1.130 1.200 20.85 27.56 224 0.875 bilinear
209 repvgg_b1 93.440 93.410 6.560 6.590 98.740 98.790 1.260 1.210 57.42 224 0.875 bilinear
210 dla60_res2next dla60_res2net 93.370 93.380 6.630 6.620 98.820 98.860 1.180 1.140 17.03 20.85 224 0.875 bilinear
211 hrnet_w30 93.370 6.630 98.880 98.830 1.120 1.170 37.71 224 0.875 bilinear
212 regnetx_032 dla102 93.350 93.260 6.650 6.740 98.660 98.780 1.340 1.220 15.30 33.27 224 0.875 bicubic bilinear
213 legacy_seresnet152 legacy_seresnet101 93.330 93.260 6.670 6.740 98.760 98.740 1.240 1.260 66.82 49.33 224 0.875 bilinear
214 dla102 mixnet_l 93.270 93.260 6.730 6.740 98.800 98.700 1.200 1.300 33.27 7.33 224 0.875 bilinear bicubic
215 legacy_seresnet101 regnetx_032 93.250 6.750 98.760 98.730 1.240 1.270 49.33 15.30 224 0.875 bilinear bicubic
216 tv_resnet152 pit_xs_distilled_224 93.220 93.240 6.780 6.760 98.790 98.820 1.210 1.180 60.19 11.00 224 0.875 0.900 bilinear bicubic
217 res2net50_26w_4s tv_resnet152 93.210 93.240 6.790 6.760 98.630 98.750 1.370 1.250 25.70 60.19 224 0.875 bilinear
218 tf_inception_v3 resnest26d 93.200 93.240 6.800 6.760 98.510 98.850 1.490 1.150 23.83 17.07 299 224 0.875 bicubic bilinear
219 res2next50 tf_inception_v3 93.180 93.200 6.820 6.800 98.670 98.480 1.330 1.520 24.67 23.83 224 299 0.875 bilinear bicubic
220 tf_efficientnet_em dla60x 93.160 93.190 6.840 6.810 98.670 98.710 1.330 1.290 6.90 17.35 240 224 0.882 0.875 bicubic bilinear
221 mixnet_l res2net50_26w_4s 93.150 93.180 6.850 6.820 98.680 98.670 1.320 1.330 7.33 25.70 224 0.875 bicubic bilinear
222 resnest26d tf_efficientnet_em 93.150 93.170 6.850 6.830 98.900 98.670 1.100 1.330 17.07 6.90 224 240 0.875 0.882 bilinear bicubic
223 efficientnet_b1 res2next50 93.100 93.150 6.900 6.850 98.590 98.660 1.410 1.340 7.79 24.67 240 224 0.875 bicubic bilinear
224 dla60x efficientnet_b1 93.080 93.060 6.920 6.940 98.710 98.540 1.290 1.460 17.35 7.79 224 240 0.875 bilinear bicubic
225 regnety_016 tf_mixnet_l 93.070 93.040 6.930 6.960 98.740 98.540 1.260 1.460 11.20 7.33 224 0.875 bicubic
226 efficientnet_es res2net50_14w_8s 93.010 93.030 6.990 6.970 98.740 98.700 1.260 1.300 5.44 25.06 224 0.875 bicubic bilinear
227 tf_mixnet_l repvgg_b1g4 93.010 93.030 6.990 6.970 98.540 98.820 1.460 1.180 7.33 39.97 224 0.875 bicubic bilinear
228 efficientnet_b1_pruned adv_inception_v3 93.000 93.010 7.000 6.990 98.520 98.490 1.480 1.510 6.33 23.83 240 299 0.882 0.875 bicubic
229 hrnet_w32 selecsls60 93.000 93.010 7.000 6.990 98.860 98.830 1.140 1.170 41.23 30.67 224 0.875 bilinear bicubic
230 densenet161 regnety_016 92.990 93.000 7.010 7.000 98.780 98.680 1.220 1.320 28.68 11.20 224 0.875 bicubic
231 gluon_resnet50_v1c efficientnet_b1_pruned 92.990 92.980 7.010 7.020 98.640 98.530 1.360 1.470 25.58 6.33 224 240 0.875 0.882 bicubic
232 res2net50_14w_8s hardcorenas_f 92.980 7.020 98.620 1.380 25.06 8.20 224 0.875 bilinear
233 selecsls60 hardcorenas_e 92.980 92.950 7.020 7.050 98.750 98.570 1.250 1.430 30.67 8.07 224 0.875 bicubic bilinear
234 inception_v3 hrnet_w32 92.970 92.950 7.030 7.050 98.330 98.840 1.670 1.160 23.83 41.23 299 224 0.875 bicubic bilinear
235 adv_inception_v3 pit_xs_224 92.960 92.910 7.040 7.090 98.500 98.780 1.500 1.220 23.83 10.62 299 224 0.875 0.900 bicubic
236 repvgg_b1g4 gluon_resnet50_v1c 92.940 92.910 7.060 7.090 98.800 98.710 1.200 1.290 39.97 25.58 224 0.875 bilinear bicubic
237 tv_resnet101 efficientnet_es 92.940 92.910 7.060 7.090 98.640 98.690 1.360 1.310 44.55 5.44 224 0.875 bilinear bicubic
238 tv_resnext50_32x4d densenet161 92.940 92.900 7.060 7.100 98.720 98.810 1.280 1.190 25.03 28.68 224 0.875 bilinear bicubic
239 hrnet_w18 inception_v3 92.860 92.900 7.140 7.100 98.690 98.330 1.310 1.670 21.30 23.83 224 299 0.875 bilinear bicubic
240 tf_efficientnet_cc_b0_8e tv_resnext50_32x4d 92.850 92.900 7.150 7.100 98.480 98.720 1.520 1.280 24.01 25.03 224 0.875 bicubic bilinear
241 legacy_seresnet50 tv_resnet101 92.820 92.880 7.180 7.120 98.650 98.660 1.350 1.340 28.09 44.55 224 0.875 bilinear
242 mobilenetv2_120d tf_efficientnet_cc_b0_8e 92.770 92.870 7.230 7.130 98.480 98.460 1.520 1.540 5.83 24.01 224 0.875 bicubic
243 rexnet_100 92.760 92.850 7.240 7.150 98.630 98.620 1.370 1.380 4.80 224 0.875 bicubic
244 tf_efficientnet_cc_b0_4e 92.740 92.840 7.260 7.160 98.520 98.440 1.480 1.560 13.31 224 0.875 bicubic
245 seresnext26t_32x4d 92.740 92.820 7.260 7.180 98.550 98.560 1.450 1.440 16.81 224 0.875 bicubic
246 gluon_resnet50_v1b res2net50_48w_2s 92.730 92.790 7.270 7.210 98.560 98.470 1.440 1.530 25.56 25.29 224 0.875 bicubic bilinear
247 dla60 hrnet_w18 92.710 92.760 7.290 7.240 98.650 98.660 1.350 1.340 22.04 21.30 224 0.875 bilinear
248 repvgg_a2 densenet201 92.700 92.690 7.300 7.310 98.600 98.650 1.400 1.350 28.21 20.01 224 0.875 bilinear bicubic
249 res2net50_48w_2s repvgg_a2 92.670 92.680 7.330 7.320 98.460 98.520 1.540 1.480 25.29 28.21 224 0.875 bilinear
250 densenet201 dla60 92.660 92.670 7.340 7.330 98.680 98.630 1.320 1.370 20.01 22.04 224 0.875 bicubic bilinear
251 regnetx_016 legacy_seresnet50 92.620 92.670 7.380 7.330 98.530 98.650 1.470 1.350 9.19 28.09 224 0.875 bicubic bilinear
252 vit_small_patch16_224 resnet34d 92.620 92.640 7.380 7.360 98.400 98.420 1.600 1.580 48.75 21.82 224 0.900 0.875 bicubic
253 resnet34d mobilenetv2_120d 92.610 7.390 98.430 98.510 1.570 1.490 21.82 5.83 224 0.875 bicubic
254 tf_efficientnet_lite2 tf_efficientnet_b0_ap 92.590 92.610 7.410 7.390 98.570 98.370 1.430 1.630 6.09 5.29 260 224 0.890 0.875 bicubic
255 tf_efficientnet_b0_ap hardcorenas_d 92.570 92.600 7.430 7.400 98.410 98.430 1.590 1.570 5.29 7.50 224 0.875 bicubic bilinear
256 efficientnet_b0 vit_small_patch16_224 92.550 92.600 7.450 7.400 98.640 98.390 1.360 1.610 5.29 48.75 224 0.875 0.900 bicubic
257 legacy_seresnext26_32x4d tf_efficientnet_lite2 92.530 92.590 7.470 7.410 98.450 98.550 1.550 1.450 16.79 6.09 224 260 0.875 0.890 bicubic
258 gernet_s legacy_seresnext26_32x4d 92.480 92.570 7.520 7.430 98.460 98.420 1.540 1.580 8.17 16.79 224 0.875 bilinear bicubic
259 selecsls42b skresnet34 92.470 92.570 7.530 7.430 98.510 98.520 1.490 1.480 32.46 22.28 224 0.875 bicubic
260 seresnext26d_32x4d gluon_resnet50_v1b 92.440 92.560 7.560 7.440 98.550 1.450 16.81 25.56 224 0.875 bicubic
261 tf_efficientnet_b0 regnetx_016 92.360 92.540 7.640 7.460 98.470 98.550 1.530 1.450 5.29 9.19 224 0.875 bicubic
262 skresnet34 efficientnet_b0 92.340 92.480 7.660 7.520 98.520 98.680 1.480 1.320 22.28 5.29 224 0.875 bicubic
263 tf_efficientnet_lite1 selecsls42b 92.330 92.480 7.670 7.520 98.510 98.440 1.490 1.560 5.42 32.46 240 224 0.882 0.875 bicubic
264 densenetblur121d gernet_s 92.310 92.440 7.690 7.560 98.390 98.500 1.610 1.500 8.00 8.17 224 0.875 bicubic bilinear
265 dpn68 seresnext26d_32x4d 92.290 92.440 7.710 7.560 98.580 98.540 1.420 1.460 12.61 16.81 224 0.875 bicubic
266 tf_mixnet_m densenetblur121d 92.270 92.400 7.730 7.600 98.490 98.410 1.510 1.590 5.01 8.00 224 0.875 bicubic
267 mixnet_m tf_efficientnet_b0 92.210 92.400 7.790 7.600 98.360 98.470 1.640 1.530 5.01 5.29 224 0.875 bicubic
268 densenet169 hardcorenas_c 92.200 92.330 7.800 7.670 98.570 98.340 1.430 1.660 14.15 5.52 224 0.875 bicubic bilinear
269 tv_resnet50 tf_efficientnet_lite1 92.180 92.310 7.820 7.690 98.420 98.490 1.580 1.510 25.56 5.42 224 240 0.875 0.882 bilinear bicubic
270 mobilenetv2_140 densenet169 92.110 92.300 7.890 7.700 98.250 98.590 1.750 1.410 6.11 14.15 224 0.875 bicubic
271 resnet26d mixnet_m 92.100 92.270 7.900 7.730 98.460 98.350 1.540 1.650 16.01 5.01 224 0.875 bicubic
272 ese_vovnet19b_dw dpn68 92.090 92.240 7.910 7.760 98.510 98.610 1.490 1.390 6.54 12.61 224 0.875 bicubic
273 tf_efficientnet_es resnet26d 92.080 92.230 7.920 7.770 98.460 98.450 1.540 1.550 5.44 16.01 224 0.875 bicubic
274 densenet121 tf_mixnet_m 91.950 92.200 8.050 7.800 98.180 98.420 1.820 1.580 7.98 5.01 224 0.875 bicubic
275 regnety_008 tv_resnet50 91.810 92.140 8.190 7.860 98.410 98.420 1.590 1.580 6.26 25.56 224 0.875 bicubic bilinear
276 mixnet_s tf_efficientnet_es 91.800 92.100 8.200 7.900 98.330 98.440 1.670 1.560 4.13 5.44 224 0.875 bicubic
277 tf_mixnet_s mobilenetv2_140 91.660 92.030 8.340 7.970 98.160 98.250 1.840 1.750 4.13 6.11 224 0.875 bicubic
278 semnasnet_100 ese_vovnet19b_dw 91.620 92.010 8.380 7.990 98.310 98.510 1.690 1.490 3.89 6.54 224 0.875 bicubic
279 repvgg_b0 hardcorenas_b 91.600 91.940 8.400 8.060 98.450 98.400 1.550 1.600 15.82 5.18 224 0.875 bilinear
280 regnety_006 densenet121 91.570 91.940 8.430 8.060 98.390 98.280 1.610 1.720 6.06 7.98 224 0.875 bicubic
281 mobilenetv3_rw regnety_008 91.550 91.900 8.450 8.100 98.340 98.420 1.660 1.580 5.48 6.26 224 0.875 bicubic
282 legacy_seresnet34 mixnet_s 91.530 91.780 8.470 8.220 98.320 98.300 1.680 1.700 21.96 4.13 224 0.875 bilinear bicubic
283 mobilenetv3_large_100 efficientnet_es_pruned 91.490 91.700 8.510 8.300 98.310 98.420 1.690 1.580 5.48 5.44 224 0.875 bicubic
284 tv_densenet121 repvgg_b0 91.430 91.680 8.570 8.320 98.280 98.450 1.720 1.550 7.98 15.82 224 0.875 bicubic bilinear
285 tf_mobilenetv3_large_100 tf_mixnet_s 91.410 91.680 8.590 8.320 98.290 98.240 1.710 1.760 5.48 4.13 224 0.875 bilinear bicubic
286 resnet26 semnasnet_100 91.390 91.660 8.610 8.340 98.360 98.270 1.640 1.730 16.00 3.89 224 0.875 bicubic
287 regnetx_008 hardcorenas_a 91.340 91.620 8.660 8.380 98.350 98.170 1.650 1.830 7.26 5.26 224 0.875 bicubic bilinear
288 resnet34 regnety_006 91.330 91.570 8.670 8.430 98.160 98.430 1.840 1.570 21.80 6.06 224 0.875 bilinear bicubic
289 hrnet_w18_small_v2 mobilenetv3_rw 91.290 91.550 8.710 8.450 98.400 98.270 1.600 1.730 15.60 5.48 224 0.875 bilinear bicubic
290 tf_efficientnet_lite0 mobilenetv3_large_100 91.280 91.480 8.720 8.520 98.060 98.320 1.940 1.680 4.65 5.48 224 0.875 bicubic
291 dla34 legacy_seresnet34 91.230 91.480 8.770 8.520 98.140 98.200 1.860 1.800 15.74 21.96 224 0.875 bilinear
292 efficientnet_lite0 resnet26 91.220 91.440 8.780 8.560 98.190 98.280 1.810 1.720 4.65 16.00 224 0.875 bicubic
293 mnasnet_100 tf_mobilenetv3_large_100 91.210 91.420 8.790 8.580 98.030 98.260 1.970 1.740 4.38 5.48 224 0.875 bicubic bilinear
294 resnest14d tv_densenet121 91.170 91.400 8.830 8.600 98.300 98.250 1.700 1.750 10.61 7.98 224 0.875 bilinear bicubic
295 fbnetc_100 mobilenetv2_110d 91.140 91.350 8.860 8.650 97.870 98.190 2.130 1.810 5.57 4.52 224 0.875 bilinear bicubic
296 swsl_resnet18 tf_efficientnet_lite0 91.130 91.300 8.870 8.700 98.230 98.090 1.770 1.910 11.69 4.65 224 0.875 bilinear bicubic
297 vgg19_bn fbnetc_100 91.120 91.270 8.880 8.730 98.160 97.830 1.840 2.170 143.68 5.57 224 0.875 bilinear
298 vit_deit_tiny_distilled_patch16_224 efficientnet_lite0 91.120 91.260 8.880 8.740 98.310 98.250 1.690 1.750 5.91 4.65 224 0.900 0.875 bicubic
299 mobilenetv2_110d dla34 91.100 91.240 8.900 8.760 98.140 98.180 1.860 1.820 4.52 15.74 224 0.875 bicubic bilinear
300 gluon_resnet34_v1b resnet34 91.020 91.200 8.980 8.800 98.140 98.240 1.860 1.760 21.80 224 0.875 bicubic bilinear
301 regnetx_006 mnasnet_100 90.920 91.200 9.080 8.800 98.070 98.050 1.930 1.950 6.20 4.38 224 0.875 bicubic
302 ssl_resnet18 regnetx_008 90.840 91.180 9.160 8.820 98.020 98.380 1.980 1.620 11.69 7.26 224 0.875 bilinear bicubic
303 regnety_004 hrnet_w18_small_v2 90.750 91.170 9.250 8.830 98.070 98.340 1.930 1.660 4.34 15.60 224 0.875 bicubic bilinear
304 spnasnet_100 resnest14d 90.640 91.130 9.360 8.870 97.920 98.330 2.080 1.670 4.42 10.61 224 0.875 bilinear
305 vgg16_bn gluon_resnet34_v1b 90.620 91.100 9.380 8.900 98.050 98.180 1.950 1.820 138.37 21.80 224 0.875 bilinear bicubic
306 tv_resnet34 vit_deit_tiny_distilled_patch16_224 90.390 91.100 9.610 8.900 97.930 98.270 2.070 1.730 21.80 5.91 224 0.875 0.900 bilinear bicubic
307 tf_mobilenetv3_large_075 swsl_resnet18 90.360 91.090 9.640 8.910 97.840 98.210 2.160 1.790 3.99 11.69 224 0.875 bilinear
308 skresnet18 vgg19_bn 90.180 90.990 9.820 9.010 97.860 98.110 2.140 1.890 11.96 143.68 224 0.875 bicubic bilinear
309 mobilenetv2_100 pit_ti_distilled_224 89.890 90.900 10.110 9.100 97.850 98.220 2.150 1.780 3.50 5.10 224 0.875 0.900 bicubic
310 resnet18d regnety_004 89.860 90.780 10.140 9.220 97.900 98.080 2.100 1.920 11.71 4.34 224 0.875 bicubic
311 vgg19 regnetx_006 89.690 90.760 10.310 9.240 97.580 98.100 2.420 1.900 143.67 6.20 224 0.875 bilinear bicubic
312 hrnet_w18_small ssl_resnet18 89.640 90.700 10.360 9.300 97.840 98.020 2.160 1.980 13.19 11.69 224 0.875 bilinear
313 vit_deit_tiny_patch16_224 spnasnet_100 89.630 90.610 10.370 9.390 97.930 97.950 2.070 2.050 5.72 4.42 224 0.900 0.875 bicubic bilinear
314 regnetx_004 vgg16_bn 89.610 90.540 10.390 9.460 97.780 97.990 2.220 2.010 5.16 138.37 224 0.875 bicubic bilinear
315 vgg16 pit_ti_224 89.490 90.420 10.510 9.580 97.530 98.010 2.470 1.990 138.36 4.85 224 0.875 0.900 bilinear bicubic
316 legacy_seresnet18 tf_mobilenetv3_large_075 89.290 90.320 10.710 9.680 97.790 97.870 2.210 2.130 11.78 3.99 224 0.875 bicubic bilinear
317 tf_mobilenetv3_large_minimal_100 tv_resnet34 89.290 90.290 10.710 9.710 97.380 97.980 2.620 2.020 3.92 21.80 224 0.875 bilinear
318 vgg13_bn skresnet18 89.200 90.160 10.800 9.840 97.640 97.780 2.360 2.220 133.05 11.96 224 0.875 bilinear bicubic
319 gluon_resnet18_v1b resnet18d 88.770 89.990 11.230 10.010 97.080 97.830 2.920 2.170 11.69 11.71 224 0.875 bicubic
320 vgg11_bn hrnet_w18_small 88.310 89.880 11.690 10.120 97.290 97.900 2.710 2.100 132.87 13.19 224 0.875 bilinear
321 regnety_002 mobilenetv2_100 88.180 89.830 11.820 10.170 97.430 97.830 2.570 2.170 3.16 3.50 224 0.875 bicubic
322 resnet18 vgg19 88.050 89.680 11.950 10.320 97.110 97.550 2.890 2.450 11.69 143.67 224 0.875 bilinear
323 vgg13 vit_deit_tiny_patch16_224 87.560 89.620 12.440 10.380 97.160 97.960 2.840 2.040 133.05 5.72 224 0.875 0.900 bilinear bicubic
324 vgg11 regnetx_004 87.370 89.460 12.630 10.540 97.010 97.770 2.990 2.230 132.86 5.16 224 0.875 bilinear bicubic
325 regnetx_002 vgg16 87.210 89.360 12.790 10.640 96.900 97.520 3.100 2.480 2.68 138.36 224 0.875 bicubic bilinear
326 dla60x_c legacy_seresnet18 87.190 89.270 12.810 10.730 97.090 97.680 2.910 2.320 1.32 11.78 224 0.875 bilinear bicubic
327 tf_mobilenetv3_small_100 vgg13_bn 85.870 89.200 14.130 10.800 96.310 97.530 3.690 2.470 2.54 133.05 224 0.875 bilinear
328 dla46x_c tf_mobilenetv3_large_minimal_100 85.690 89.180 14.310 10.820 96.460 97.320 3.540 2.680 1.07 3.92 224 0.875 bilinear
329 tf_mobilenetv3_small_075 gluon_resnet18_v1b 84.770 88.660 15.230 11.340 95.880 97.100 4.120 2.900 2.04 11.69 224 0.875 bilinear bicubic
330 dla46_c vgg11_bn 84.690 88.390 15.310 11.610 96.220 97.270 3.780 2.730 1.30 132.87 224 0.875 bilinear
331 tf_mobilenetv3_small_minimal_100 regnety_002 82.770 88.200 17.230 11.800 95.080 97.430 4.920 2.570 2.04 3.16 224 0.875 bilinear bicubic
332 resnet18 88.150 11.850 97.120 2.880 11.69 224 0.875 bilinear
333 vgg13 87.570 12.430 97.120 2.880 133.05 224 0.875 bilinear
334 regnetx_002 87.380 12.620 96.990 3.010 2.68 224 0.875 bicubic
335 vgg11 87.340 12.660 97.110 2.890 132.86 224 0.875 bilinear
336 dla60x_c 87.110 12.890 97.140 2.860 1.32 224 0.875 bilinear
337 tf_mobilenetv3_small_100 85.960 14.040 96.400 3.600 2.54 224 0.875 bilinear
338 dla46x_c 85.480 14.520 96.440 3.560 1.07 224 0.875 bilinear
339 dla46_c 84.660 15.340 96.200 3.800 1.30 224 0.875 bilinear
340 tf_mobilenetv3_small_075 84.530 15.470 95.890 4.110 2.04 224 0.875 bilinear
341 tf_mobilenetv3_small_minimal_100 82.670 17.330 95.000 5.000 2.04 224 0.875 bilinear

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results/results-imagenet-r.csv
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model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation,top1_diff,top5_diff,rank_diff model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation,top1_diff,top5_diff,rank_diff
ig_resnext101_32x48d,79.737,20.263,89.450,10.550,828.41,224,0.875,bilinear,-17.243,-10.210,+4 ig_resnext101_32x48d,79.650,20.350,89.393,10.607,828.41,224,0.875,bilinear,-17.320,-10.277,+7
ig_resnext101_32x32d,79.447,20.553,89.283,10.717,468.53,224,0.875,bilinear,-17.403,-10.237,+7 ig_resnext101_32x32d,79.457,20.543,89.183,10.817,468.53,224,0.875,bilinear,-17.323,-10.347,+11
ig_resnext101_32x16d,78.963,21.037,88.437,11.563,194.03,224,0.875,bilinear,-17.417,-11.123,+19 ig_resnext101_32x16d,78.837,21.163,88.480,11.520,194.03,224,0.875,bilinear,-17.603,-11.060,+23
tf_efficientnet_l2_ns_475,76.537,23.463,88.630,11.370,480.31,475,0.936,bicubic,-21.223,-11.190,-2 tf_efficientnet_l2_ns_475,76.480,23.520,88.653,11.347,480.31,475,0.936,bicubic,-21.270,-11.167,-2
swsl_resnext101_32x16d,76.253,23.747,87.780,12.220,194.03,224,0.875,bilinear,-20.037,-11.760,+24 swsl_resnext101_32x16d,76.303,23.697,87.733,12.267,194.03,224,0.875,bilinear,-19.967,-11.767,+29
ig_resnext101_32x8d,75.897,24.103,86.193,13.807,88.79,224,0.875,bilinear,-19.983,-13.157,+35 ig_resnext101_32x8d,75.813,24.187,86.200,13.800,88.79,224,0.875,bilinear,-20.117,-13.180,+41
swsl_resnext101_32x8d,75.463,24.537,86.840,13.160,88.79,224,0.875,bilinear,-20.807,-12.750,+24 swsl_resnext101_32x8d,75.590,24.410,86.937,13.063,88.79,224,0.875,bilinear,-20.650,-12.653,+28
tf_efficientnet_l2_ns,74.603,25.397,87.543,12.457,480.31,800,0.960,bicubic,-23.157,-12.337,-7 tf_efficientnet_l2_ns,74.650,25.350,87.543,12.457,480.31,800,0.960,bicubic,-23.130,-12.347,-7
swsl_resnext101_32x4d,72.683,27.317,85.157,14.843,44.18,224,0.875,bilinear,-23.347,-14.383,+30 swsl_resnext101_32x4d,72.660,27.340,85.157,14.843,44.18,224,0.875,bilinear,-23.390,-14.373,+35
swsl_resnext50_32x4d,69.027,30.973,82.837,17.163,25.03,224,0.875,bilinear,-26.603,-16.613,+36 swsl_resnext50_32x4d,68.977,31.023,82.810,17.190,25.03,224,0.875,bilinear,-26.643,-16.630,+45
swsl_resnet50,68.220,31.780,83.330,16.670,25.56,224,0.875,bilinear,-27.070,-15.980,+47 swsl_resnet50,68.297,31.703,83.313,16.687,25.56,224,0.875,bilinear,-26.903,-16.077,+62
tf_efficientnet_b7_ns,67.513,32.487,81.347,18.653,66.35,600,0.949,bicubic,-29.687,-18.353,-9 tf_efficientnet_b7_ns,67.510,32.490,81.383,18.617,66.35,600,0.949,bicubic,-29.690,-18.317,-9
tf_efficientnet_b6_ns,65.577,34.423,79.537,20.463,43.04,528,0.942,bicubic,-31.433,-20.173,-9 swin_large_patch4_window12_384,66.283,33.717,79.783,20.217,196.74,384,1.000,bicubic,-30.887,-19.897,-9
tf_efficientnet_b5_ns,63.050,36.950,77.837,22.163,30.39,456,0.934,bicubic,-33.830,-21.803,-7 tf_efficientnet_b6_ns,65.587,34.413,79.553,20.447,43.04,528,0.942,bicubic,-31.433,-20.157,-8
tf_efficientnet_b4_ns,61.277,38.723,76.220,23.780,19.34,380,0.922,bicubic,-35.403,-23.460,-2 swin_large_patch4_window7_224,63.870,36.130,78.180,21.820,196.53,224,0.900,bicubic,-33.080,-21.480,-6
tf_efficientnet_b8_ap,57.840,42.160,72.950,27.050,87.41,672,0.954,bicubic,-38.720,-26.590,0 swin_base_patch4_window12_384,63.470,36.530,78.063,21.937,87.90,384,1.000,bicubic,-33.650,-21.717,-11
tf_efficientnet_b3_ns,57.417,42.583,72.407,27.593,12.23,300,0.904,bicubic,-38.623,-27.053,+21 tf_efficientnet_b5_ns,63.047,36.953,77.777,22.223,30.39,456,0.934,bicubic,-33.823,-21.863,-6
vit_large_patch16_384,54.773,45.227,70.040,29.960,304.72,384,1.000,bicubic,-41.607,-29.600,+5 tf_efficientnet_b4_ns,61.230,38.770,76.173,23.827,19.34,380,0.922,bicubic,-35.480,-23.467,-3
vit_base_resnet50_384,54.390,45.610,69.590,30.410,98.95,384,1.000,bicubic,-42.070,-29.970,0 swin_base_patch4_window7_224,59.537,40.463,74.247,25.753,87.77,224,0.900,bicubic,-37.143,-25.413,-2
resnetv2_152x4_bitm,54.227,45.773,70.150,29.850,936.53,480,1.000,bilinear,-42.633,-29.510,-12 tf_efficientnet_b8_ap,57.830,42.170,72.957,27.043,87.41,672,0.954,bicubic,-38.720,-26.583,0
dm_nfnet_f6,54.077,45.923,69.017,30.983,438.36,576,0.956,bicubic,-42.893,-30.723,-15 tf_efficientnet_b3_ns,57.417,42.583,72.387,27.613,12.23,300,0.904,bicubic,-38.683,-27.093,+19
tf_efficientnet_b5_ap,53.897,46.103,69.160,30.840,30.39,456,0.934,bicubic,-42.183,-30.380,+15 vit_large_patch16_384,54.750,45.250,70.007,29.993,304.72,384,1.000,bicubic,-41.610,-29.623,+8
dm_nfnet_f5,53.723,46.277,68.493,31.507,377.21,544,0.954,bicubic,-42.997,-31.187,-12 vit_base_r50_s16_384,54.400,45.600,69.560,30.440,98.95,384,1.000,bicubic,-42.050,-30.100,+2
tf_efficientnet_b6_ap,53.577,46.423,68.533,31.467,43.04,528,0.942,bicubic,-42.793,-31.017,0 resnetv2_152x4_bitm,54.263,45.737,70.137,29.863,936.53,480,1.000,bilinear,-42.617,-29.523,-14
tf_efficientnet_b2_ns,53.573,46.427,70.277,29.723,9.11,260,0.890,bicubic,-41.887,-29.113,+29 dm_nfnet_f6,54.073,45.927,69.110,30.890,438.36,576,0.956,bicubic,-42.917,-30.630,-18
tf_efficientnet_b8,53.413,46.587,69.087,30.913,87.41,672,0.954,bicubic,-43.287,-30.433,-14 tf_efficientnet_b5_ap,53.870,46.130,69.160,30.840,30.39,456,0.934,bicubic,-42.210,-30.380,+15
tf_efficientnet_b7_ap,53.267,46.733,68.873,31.127,66.35,600,0.949,bicubic,-43.083,-30.717,-1 dm_nfnet_f5,53.773,46.227,68.500,31.500,377.21,544,0.954,bicubic,-42.937,-31.180,-13
dm_nfnet_f3,53.240,46.760,68.100,31.900,254.92,416,0.940,bicubic,-43.420,-31.540,-14 tf_efficientnet_b2_ns,53.600,46.400,70.270,29.730,9.11,260,0.890,bicubic,-41.920,-29.070,+30
tf_efficientnet_b4_ap,53.060,46.940,68.157,31.843,19.34,380,0.922,bicubic,-42.460,-31.183,+22 tf_efficientnet_b6_ap,53.560,46.440,68.550,31.450,43.04,528,0.942,bicubic,-42.810,-31.000,-1
tf_efficientnet_b7,52.417,47.583,68.210,31.790,66.35,600,0.949,bicubic,-44.163,-31.310,-15 tf_efficientnet_b8,53.410,46.590,69.090,30.910,87.41,672,0.954,bicubic,-43.290,-30.440,-14
swsl_resnet18,52.407,47.593,70.577,29.423,11.69,224,0.875,bilinear,-38.723,-27.653,+246 tf_efficientnet_b7_ap,53.260,46.740,68.873,31.127,66.35,600,0.949,bicubic,-43.090,-30.717,0
dm_nfnet_f4,52.290,47.710,67.093,32.907,316.07,512,0.951,bicubic,-44.510,-32.547,-22 dm_nfnet_f3,53.190,46.810,68.083,31.917,254.92,416,0.940,bicubic,-43.440,-31.557,-14
vit_deit_base_distilled_patch16_384,52.277,47.723,67.727,32.273,87.63,384,1.000,bicubic,-44.213,-31.863,-15 tf_efficientnet_b4_ap,53.090,46.910,68.210,31.790,19.34,380,0.922,bicubic,-42.400,-31.180,+28
ecaresnet269d,51.687,48.313,66.043,33.957,102.09,352,1.000,bicubic,-44.733,-33.597,-13 tf_efficientnet_b7,52.393,47.607,68.233,31.767,66.35,600,0.949,bicubic,-44.187,-31.277,-15
resnetv2_152x2_bitm,51.063,48.937,68.557,31.443,236.34,480,1.000,bilinear,-45.447,-31.063,-18 swsl_resnet18,52.327,47.673,70.480,29.520,11.69,224,0.875,bilinear,-38.763,-27.730,+271
vit_large_patch16_224,50.967,49.033,66.170,33.830,304.33,224,0.900,bicubic,-44.313,-33.140,+25 dm_nfnet_f4,52.260,47.740,67.120,32.880,316.07,512,0.951,bicubic,-44.560,-32.480,-24
tf_efficientnet_b1_ns,50.917,49.083,67.963,32.037,7.79,240,0.882,bicubic,-43.933,-31.277,+39 vit_deit_base_distilled_patch16_384,52.257,47.743,67.733,32.267,87.63,384,1.000,bicubic,-44.253,-31.857,-16
vit_base_patch16_384,50.907,49.093,65.270,34.730,86.86,384,1.000,bicubic,-45.283,-34.280,-6 ecaresnet269d,51.670,48.330,66.047,33.953,102.09,352,1.000,bicubic,-44.790,-33.563,-14
ssl_resnext101_32x16d,50.327,49.673,65.977,34.023,194.03,224,0.875,bilinear,-45.143,-33.433,+14 pit_b_distilled_224,51.153,48.847,66.770,33.230,74.79,224,0.900,bicubic,-44.917,-32.710,+4
resnest269e,50.323,49.677,64.713,35.287,110.93,416,0.928,bicubic,-45.817,-34.827,-7 resnetv2_152x2_bitm,51.040,48.960,68.527,31.473,236.34,480,1.000,bilinear,-45.460,-31.093,-17
tf_efficientnet_b3_ap,50.050,49.950,65.210,34.790,12.23,300,0.904,bicubic,-44.840,-33.920,+33 tf_efficientnet_b1_ns,50.883,49.117,67.910,32.090,7.79,240,0.882,bicubic,-43.977,-31.340,+47
vit_deit_base_distilled_patch16_224,50.047,49.953,66.233,33.767,87.34,224,0.900,bicubic,-45.683,-33.057,+2 vit_base_patch16_384,50.883,49.117,65.270,34.730,86.86,384,1.000,bicubic,-45.307,-34.260,-6
resnetv2_101x3_bitm,49.827,50.173,66.987,33.013,387.93,480,1.000,bilinear,-46.523,-32.613,-18 vit_large_patch16_224,50.877,49.123,66.227,33.773,304.33,224,0.900,bicubic,-44.413,-33.083,+26
resnest200e,49.777,50.223,64.693,35.307,70.20,320,0.909,bicubic,-46.303,-34.757,-8 ssl_resnext101_32x16d,50.257,49.743,66.033,33.967,194.03,224,0.875,bilinear,-45.153,-33.267,+21
tf_efficientnet_b5,49.493,50.507,65.667,34.333,30.39,456,0.934,bicubic,-46.477,-33.793,-5 resnest269e,50.153,49.847,64.670,35.330,110.93,416,0.928,bicubic,-45.967,-34.850,-7
resnet200d,49.487,50.513,64.347,35.653,64.69,320,1.000,bicubic,-46.643,-35.093,-12 vit_deit_base_distilled_patch16_224,50.063,49.937,66.227,33.773,87.34,224,0.900,bicubic,-45.687,-33.053,+5
resnest101e,49.290,50.710,65.487,34.513,48.28,256,0.875,bilinear,-46.270,-33.793,+2 tf_efficientnet_b3_ap,50.057,49.943,65.210,34.790,12.23,300,0.904,bicubic,-44.913,-33.900,+36
ssl_resnext101_32x8d,49.223,50.777,65.437,34.563,88.79,224,0.875,bilinear,-46.067,-33.793,+12 resnest200e,49.873,50.127,64.743,35.257,70.20,320,0.909,bicubic,-46.197,-34.637,-6
seresnet152d,49.213,50.787,64.167,35.833,66.84,320,1.000,bicubic,-47.067,-35.343,-19 resnetv2_101x3_bitm,49.823,50.177,66.917,33.083,387.93,480,1.000,bilinear,-46.537,-32.683,-20
resnet152d,49.193,50.807,64.413,35.587,60.21,320,1.000,bicubic,-46.677,-35.007,-8 tf_efficientnet_b5,49.510,50.490,65.657,34.343,30.39,456,0.934,bicubic,-46.470,-33.793,-5
repvgg_b3,48.993,51.007,64.860,35.140,123.09,224,0.875,bilinear,-45.637,-34.130,+35 resnet200d,49.470,50.530,64.330,35.670,64.69,320,1.000,bicubic,-46.640,-35.130,-12
dm_nfnet_f2,48.650,51.350,63.580,36.420,193.78,352,0.920,bicubic,-47.810,-36.090,-32 efficientnet_v2s,49.367,50.633,64.203,35.797,23.94,224,1.000,bicubic,-45.623,-34.877,+29
efficientnet_b3a,48.520,51.480,64.237,35.763,12.23,320,1.000,bicubic,-46.650,-34.983,+12 resnest101e,49.367,50.633,65.587,34.413,48.28,256,0.875,bilinear,-46.203,-33.683,+4
ecaresnet101d,48.507,51.493,64.200,35.800,44.57,224,0.875,bicubic,-46.703,-35.040,+10 resnet152d,49.253,50.747,64.413,35.587,60.21,320,1.000,bicubic,-46.617,-35.017,-5
repvgg_b3g4,48.277,51.723,64.747,35.253,83.83,224,0.875,bilinear,-46.293,-34.253,+33 seresnet152d,49.247,50.753,64.170,35.830,66.84,320,1.000,bicubic,-47.063,-35.340,-23
vit_large_patch32_384,48.183,51.817,61.797,38.203,306.63,384,1.000,bicubic,-47.057,-37.513,+7 ssl_resnext101_32x8d,49.067,50.933,65.480,34.520,88.79,224,0.875,bilinear,-46.273,-33.840,+12
efficientnet_b3,48.147,51.853,64.093,35.907,12.23,300,0.904,bicubic,-46.743,-35.097,+16 repvgg_b3,48.917,51.083,64.887,35.113,123.09,224,0.875,bilinear,-45.633,-34.023,+52
repvgg_b2g4,47.783,52.217,64.430,35.570,61.76,224,0.875,bilinear,-46.107,-34.540,+90 dm_nfnet_f2,48.623,51.377,63.537,36.463,193.78,352,0.920,bicubic,-47.877,-36.033,-36
resnest50d_4s2x40d,47.470,52.530,63.897,36.103,30.42,224,0.875,bicubic,-47.250,-35.233,+21 efficientnet_b3a,48.563,51.437,64.250,35.750,12.23,320,1.000,bicubic,-46.577,-34.960,+18
efficientnet_b3_pruned,47.423,52.577,62.810,37.190,9.86,300,0.904,bicubic,-47.127,-36.250,+30 ecaresnet101d,48.527,51.473,64.100,35.900,44.57,224,0.875,bicubic,-46.633,-35.130,+14
tf_efficientnet_b6,47.220,52.780,63.103,36.897,43.04,528,0.942,bicubic,-49.100,-36.427,-33 repvgg_b3g4,48.310,51.690,64.800,35.200,83.83,224,0.875,bilinear,-46.180,-34.220,+51
vit_base_patch16_224,47.220,52.780,61.647,38.353,86.57,224,0.900,bicubic,-48.070,-37.703,-3 vit_large_patch32_384,48.250,51.750,61.830,38.170,306.63,384,1.000,bicubic,-46.990,-37.490,+9
ssl_resnext101_32x4d,47.197,52.803,63.290,36.710,44.18,224,0.875,bilinear,-47.953,-36.030,+3 efficientnet_b3,48.170,51.830,64.133,35.867,12.23,300,0.904,bicubic,-46.800,-35.097,+19
tf_efficientnet_b4,47.043,52.957,62.823,37.177,19.34,380,0.922,bicubic,-48.537,-36.467,-16 repvgg_b2g4,47.787,52.213,64.390,35.610,61.76,224,0.875,bilinear,-46.033,-34.540,+103
resnet101d,46.960,53.040,62.340,37.660,44.57,320,1.000,bicubic,-48.780,-37.080,-22 eca_nfnet_l1,47.663,52.337,62.767,37.233,41.41,320,1.000,bicubic,-48.267,-36.733,-19
resnetv2_50x3_bitm,46.763,53.237,64.883,35.117,217.32,480,1.000,bilinear,-49.367,-34.737,-31 pit_s_distilled_224,47.543,52.457,63.493,36.507,24.04,224,0.900,bicubic,-47.187,-35.697,+26
regnety_032,46.663,53.337,62.357,37.643,19.44,224,0.875,bicubic,-48.467,-36.863,0 resnest50d_4s2x40d,47.483,52.517,63.807,36.193,30.42,224,0.875,bicubic,-47.227,-35.323,+28
dm_nfnet_f1,46.660,53.340,61.560,38.440,132.63,320,0.910,bicubic,-49.680,-37.900,-41 efficientnet_b3_pruned,47.447,52.553,62.793,37.207,9.86,300,0.904,bicubic,-47.133,-36.277,+38
gluon_seresnext101_64x4d,46.617,53.383,61.373,38.627,88.23,224,0.875,bicubic,-47.883,-37.597,+22 vit_base_patch16_224,47.340,52.660,61.607,38.393,86.57,224,0.900,bicubic,-47.870,-37.623,+3
tresnet_xl,46.280,53.720,62.017,37.983,78.44,224,0.875,bilinear,-48.710,-37.203,-1 tf_efficientnet_b6,47.213,52.787,63.110,36.890,43.04,528,0.942,bicubic,-49.077,-36.410,-37
vit_deit_small_distilled_patch16_224,46.153,53.847,62.463,37.537,22.44,224,0.900,bicubic,-48.417,-36.637,+18 ssl_resnext101_32x4d,47.177,52.823,63.367,36.633,44.18,224,0.875,bilinear,-47.983,-35.933,+4
resnest50d_1s4x24d,46.127,53.873,62.353,37.647,25.68,224,0.875,bicubic,-48.213,-36.707,+34 tf_efficientnet_b4,47.083,52.917,62.867,37.133,19.34,380,0.922,bicubic,-48.507,-36.463,-16
gernet_m,46.023,53.977,62.747,37.253,21.14,224,0.875,bilinear,-48.457,-36.163,+22 resnet101d,46.893,53.107,62.317,37.683,44.57,320,1.000,bicubic,-48.857,-37.123,-23
tf_efficientnet_b0_ns,45.993,54.007,63.237,36.763,5.29,224,0.875,bicubic,-47.587,-35.593,+103 resnetv2_50x3_bitm,46.827,53.173,64.873,35.127,217.32,480,1.000,bilinear,-49.313,-34.747,-37
resnest50d,45.817,54.183,62.650,37.350,27.48,224,0.875,bilinear,-48.673,-36.350,+19 dm_nfnet_f1,46.693,53.307,61.560,38.440,132.63,320,0.910,bicubic,-49.677,-37.910,-48
gluon_seresnext101_32x4d,45.533,54.467,61.103,38.897,48.96,224,0.875,bicubic,-48.867,-38.007,+25 gluon_seresnext101_64x4d,46.677,53.323,61.303,38.697,88.23,224,0.875,bicubic,-47.973,-37.677,+25
ssl_resnext50_32x4d,45.493,54.507,62.010,37.990,25.03,224,0.875,bilinear,-49.227,-37.180,+4 tresnet_xl,46.283,53.717,61.943,38.057,78.44,224,0.875,bilinear,-48.777,-37.317,+2
dm_nfnet_f0,45.447,54.553,61.010,38.990,71.49,256,0.900,bicubic,-50.203,-38.290,-33 vit_deit_small_distilled_patch16_224,46.160,53.840,62.417,37.583,22.44,224,0.900,bicubic,-48.430,-36.683,+27
gluon_resnet152_v1d,45.337,54.663,60.080,39.920,60.21,224,0.875,bicubic,-49.133,-38.910,+17 regnety_160,46.153,53.847,61.837,38.163,83.59,288,1.000,bicubic,-49.727,-37.723,-31
nasnetalarge,45.247,54.753,57.967,42.033,88.75,331,0.911,bicubic,-50.073,-41.173,-23 gernet_m,46.150,53.850,62.700,37.300,21.14,224,0.875,bilinear,-48.400,-36.550,+30
tresnet_xl_448,45.223,54.777,61.403,38.597,78.44,448,0.875,bilinear,-50.297,-38.017,-31 resnest50d_1s4x24d,46.083,53.917,62.377,37.623,25.68,224,0.875,bicubic,-48.307,-36.693,+36
tf_efficientnet_b3,45.113,54.887,60.613,39.387,12.23,300,0.904,bicubic,-49.787,-38.527,-10 tf_efficientnet_b0_ns,46.047,53.953,63.253,36.747,5.29,224,0.875,bicubic,-47.693,-35.727,+96
rexnet_200,45.093,54.907,62.343,37.657,16.37,224,0.875,bicubic,-49.507,-36.717,+4 resnest50d,45.937,54.063,62.623,37.377,27.48,224,0.875,bilinear,-48.683,-36.407,+19
ecaresnetlight,44.920,55.080,60.753,39.247,30.16,224,0.875,bicubic,-49.200,-38.187,+36 regnety_032,45.893,54.107,61.537,38.463,19.44,288,1.000,bicubic,-49.577,-37.783,-21
vit_deit_base_patch16_224,44.917,55.083,59.200,40.800,86.57,224,0.900,bicubic,-50.053,-39.800,-15 gluon_seresnext101_32x4d,45.590,54.410,61.143,38.857,48.96,224,0.875,bicubic,-48.860,-37.947,+29
vit_deit_base_patch16_384,44.763,55.237,59.567,40.433,86.86,384,1.000,bicubic,-50.857,-39.673,-39 gluon_resnet152_v1d,45.430,54.570,60.077,39.923,60.21,224,0.875,bicubic,-49.010,-38.933,+29
gernet_l,44.723,55.277,59.047,40.953,31.08,256,0.875,bilinear,-50.217,-40.133,-16 dm_nfnet_f0,45.420,54.580,60.990,39.010,71.49,256,0.900,bicubic,-50.210,-38.310,-33
vit_base_patch32_384,44.690,55.310,58.527,41.473,88.30,384,1.000,bicubic,-50.580,-40.663,-26 ssl_resnext50_32x4d,45.407,54.593,62.047,37.953,25.03,224,0.875,bilinear,-49.293,-37.193,+8
tf_efficientnet_b2_ap,44.683,55.317,60.673,39.327,9.11,260,0.890,bicubic,-49.677,-38.297,+14 nfnet_l0,45.390,54.610,62.057,37.943,35.07,288,1.000,bicubic,-50.000,-37.363,-23
ens_adv_inception_resnet_v2,44.360,55.640,58.077,41.923,55.84,299,0.897,bicubic,-49.710,-40.713,+37 tresnet_xl_448,45.223,54.777,61.437,38.563,78.44,448,0.875,bilinear,-50.287,-37.903,-30
tresnet_l,44.353,55.647,59.907,40.093,55.99,224,0.875,bilinear,-50.477,-39.153,-14 nasnetalarge,45.210,54.790,57.883,42.117,88.75,331,0.911,bicubic,-49.940,-41.247,-15
wide_resnet50_2,44.287,55.713,59.620,40.380,68.88,224,0.875,bicubic,-50.403,-39.470,-10 swin_small_patch4_window7_224,45.163,54.837,60.330,39.670,49.61,224,0.900,bicubic,-50.557,-38.960,-40
gluon_resnext101_32x4d,44.180,55.820,59.077,40.923,44.18,224,0.875,bicubic,-50.010,-39.843,+23 tf_efficientnet_b3,45.107,54.893,60.650,39.350,12.23,300,0.904,bicubic,-49.803,-38.460,-8
cspresnext50,44.147,55.853,60.513,39.487,20.57,224,0.875,bilinear,-49.673,-38.327,+60 rexnet_200,45.047,54.953,62.317,37.683,16.37,224,0.875,bicubic,-49.613,-36.833,+6
seresnext50_32x4d,44.133,55.867,59.403,40.597,27.56,224,0.875,bicubic,-50.637,-39.717,-17 ecaresnetlight,44.890,55.110,60.770,39.230,30.16,224,0.875,bicubic,-49.250,-38.180,+41
gluon_resnet152_v1s,44.103,55.897,58.697,41.303,60.32,224,0.875,bicubic,-50.547,-40.373,-12 vit_deit_base_patch16_224,44.870,55.130,59.177,40.823,86.57,224,0.900,bicubic,-50.140,-39.803,-16
pnasnet5large,44.043,55.957,56.733,43.267,86.06,331,0.911,bicubic,-51.327,-42.387,-41 vit_deit_base_patch16_384,44.777,55.223,59.617,40.383,86.86,384,1.000,bicubic,-50.873,-39.623,-44
ssl_resnet50,44.020,55.980,61.947,38.053,25.56,224,0.875,bilinear,-50.230,-37.133,+14 gernet_l,44.740,55.260,58.943,41.057,31.08,256,0.875,bilinear,-50.190,-40.257,-14
inception_resnet_v2,43.910,56.090,57.870,42.130,55.84,299,0.897,bicubic,-50.350,-40.960,+11 tf_efficientnet_b2_ap,44.700,55.300,60.680,39.320,9.11,260,0.890,bicubic,-49.570,-38.270,+28
ecaresnet50d,43.830,56.170,60.340,39.660,25.58,224,0.875,bicubic,-50.310,-38.600,+19 vit_base_patch32_384,44.693,55.307,58.530,41.470,88.30,384,1.000,bicubic,-50.567,-40.650,-30
ecaresnet101d_pruned,43.810,56.190,59.653,40.347,24.88,224,0.875,bicubic,-50.650,-39.477,-4 ens_adv_inception_resnet_v2,44.393,55.607,58.117,41.883,55.84,299,0.897,bicubic,-49.737,-40.673,+37
gluon_resnext101_64x4d,43.790,56.210,58.703,41.297,83.46,224,0.875,bicubic,-50.560,-40.127,+2 tresnet_l,44.363,55.637,59.953,40.047,55.99,224,0.875,bilinear,-50.537,-39.077,-16
rexnet_150,43.453,56.547,60.953,39.047,9.73,224,0.875,bicubic,-50.827,-38.067,+5 gluon_resnext101_32x4d,44.290,55.710,59.090,40.910,44.18,224,0.875,bicubic,-49.830,-39.840,+38
ecaresnet50t,43.440,56.560,59.350,40.650,25.57,320,0.950,bicubic,-51.640,-39.920,-36 wide_resnet50_2,44.177,55.823,59.727,40.273,68.88,224,0.875,bicubic,-50.493,-39.323,-6
gluon_resnet101_v1d,43.440,56.560,58.540,41.460,44.57,224,0.875,bicubic,-50.680,-40.380,+16 cspresnext50,44.147,55.853,60.533,39.467,20.57,224,0.875,bilinear,-49.613,-38.167,+70
cspdarknet53,43.343,56.657,59.413,40.587,27.64,256,0.887,bilinear,-50.747,-39.557,+20 seresnext50_32x4d,44.127,55.873,59.490,40.510,27.56,224,0.875,bicubic,-50.693,-39.640,-17
gluon_resnet101_v1s,43.260,56.740,58.507,41.493,44.67,224,0.875,bicubic,-51.030,-40.533,0 gluon_resnet152_v1s,44.073,55.927,58.703,41.297,60.32,224,0.875,bicubic,-50.647,-40.357,-14
dpn68b,43.190,56.810,58.633,41.367,12.61,224,0.875,bicubic,-50.420,-40.137,+64 pit_b_224,44.070,55.930,58.017,41.983,73.76,224,0.900,bicubic,-50.720,-40.803,-18
resnetv2_101x1_bitm,43.103,56.897,60.920,39.080,44.54,480,1.000,bilinear,-52.407,-38.600,-57 ssl_resnet50,44.010,55.990,61.887,38.113,25.56,224,0.875,bilinear,-50.300,-37.263,+15
resnest26d,43.097,56.903,60.630,39.370,17.07,224,0.875,bilinear,-50.053,-38.270,+93 inception_resnet_v2,44.003,55.997,57.907,42.093,55.84,299,0.897,bicubic,-50.337,-40.893,+13
dpn131,43.033,56.967,57.493,42.507,79.25,224,0.875,bicubic,-50.737,-41.307,+47 pnasnet5large,43.950,56.050,56.730,43.270,86.06,331,0.911,bicubic,-51.410,-42.400,-44
cspresnet50,43.023,56.977,59.107,40.893,21.62,256,0.887,bilinear,-50.817,-39.793,+39 pit_s_224,43.890,56.110,58.627,41.373,23.46,224,0.900,bicubic,-50.700,-40.303,-8
gluon_resnet152_v1c,42.937,57.063,57.803,42.197,60.21,224,0.875,bicubic,-50.963,-41.047,+31 gluon_resnext101_64x4d,43.877,56.123,58.710,41.290,83.46,224,0.875,bicubic,-50.473,-40.170,+8
tf_efficientnet_lite4,42.900,57.100,57.630,42.370,13.01,380,0.920,bilinear,-51.980,-41.480,-39 tnt_s_patch16_224,43.773,56.227,59.197,40.803,23.76,224,0.900,bicubic,-50.807,-39.983,-7
gluon_resnet152_v1b,42.890,57.110,57.580,42.420,60.19,224,0.875,bicubic,-51.110,-41.190,+18 ecaresnet50d,43.750,56.250,60.387,39.613,25.58,224,0.875,bicubic,-50.440,-38.633,+17
dpn107,42.877,57.123,57.410,42.590,86.92,224,0.875,bicubic,-51.113,-41.460,+18 ecaresnet101d_pruned,43.737,56.263,59.607,40.393,24.88,224,0.875,bicubic,-50.713,-39.493,-3
gluon_xception65,42.837,57.163,58.820,41.180,39.92,299,0.903,bicubic,-51.173,-40.190,+14 rexnet_150,43.690,56.310,60.897,39.103,9.73,224,0.875,bicubic,-50.580,-38.183,+9
tf_efficientnet_b1_ap,42.803,57.197,58.840,41.160,7.79,240,0.882,bicubic,-50.877,-39.970,+48 pit_xs_distilled_224,43.663,56.337,60.703,39.297,11.00,224,0.900,bicubic,-49.577,-38.117,+97
tresnet_l_448,42.780,57.220,58.940,41.060,55.99,448,0.875,bilinear,-52.640,-40.360,-64 gluon_resnet101_v1d,43.440,56.560,58.613,41.387,44.57,224,0.875,bicubic,-50.730,-40.327,+14
resnet50d,42.717,57.283,58.683,41.317,25.58,224,0.875,bicubic,-51.393,-40.277,+4 ecaresnet50t,43.407,56.593,59.300,40.700,25.57,320,0.950,bicubic,-51.663,-39.990,-42
gluon_seresnext50_32x4d,42.680,57.320,58.620,41.380,27.56,224,0.875,bicubic,-51.360,-40.450,+7 gluon_resnet101_v1s,43.363,56.637,58.503,41.497,44.67,224,0.875,bicubic,-50.807,-40.507,+13
tresnet_m,42.663,57.337,58.023,41.977,31.39,224,0.875,bilinear,-51.357,-40.797,+8 cspdarknet53,43.357,56.643,59.430,40.570,27.64,256,0.887,bilinear,-50.733,-39.580,+21
resnext101_32x8d,42.597,57.403,58.153,41.847,88.79,224,0.875,bilinear,-51.223,-40.797,+32 dpn68b,43.287,56.713,58.673,41.327,12.61,224,0.875,bicubic,-50.333,-40.027,+67
seresnet50,42.477,57.523,58.730,41.270,28.09,224,0.875,bicubic,-51.623,-40.250,+1 eca_nfnet_l0,43.230,56.770,59.913,40.087,24.14,288,1.000,bicubic,-52.240,-39.467,-62
nf_resnet50,42.387,57.613,59.490,40.510,25.56,288,0.940,bicubic,-52.033,-39.610,-26 resnest26d,43.140,56.860,60.623,39.377,17.07,224,0.875,bilinear,-50.100,-38.127,+92
dpn98,42.313,57.687,56.830,43.170,61.57,224,0.875,bicubic,-51.587,-42.100,+17 resnetv2_101x1_bitm,43.113,56.887,60.950,39.050,44.54,480,1.000,bilinear,-52.397,-38.560,-67
tf_efficientnet_cc_b1_8e,42.220,57.780,58.433,41.567,39.72,240,0.882,bicubic,-51.340,-40.247,+54 dpn131,43.047,56.953,57.440,42.560,79.25,224,0.875,bicubic,-50.713,-41.420,+49
vit_deit_small_patch16_224,42.200,57.800,57.930,42.070,22.05,224,0.900,bicubic,-51.690,-40.990,+19 cspresnet50,43.030,56.970,59.153,40.847,21.62,256,0.887,bilinear,-50.830,-39.717,+34
legacy_senet154,42.163,57.837,56.650,43.350,115.09,224,0.875,bilinear,-52.597,-42.450,-50 tf_efficientnet_lite4,42.967,57.033,57.620,42.380,13.01,380,0.920,bilinear,-51.903,-41.470,-42
resnet50,42.117,57.883,55.910,44.090,25.56,224,0.875,bicubic,-51.383,-42.670,+57 gluon_resnet152_v1b,42.903,57.097,57.750,42.250,60.19,224,0.875,bicubic,-51.127,-40.990,+17
gluon_resnext50_32x4d,42.113,57.887,57.653,42.347,25.03,224,0.875,bicubic,-51.587,-41.047,+34 dpn107,42.857,57.143,57.367,42.633,86.92,224,0.875,bicubic,-51.103,-41.473,+22
tf_efficientnet_b2,42.090,57.910,58.133,41.867,9.11,260,0.890,bicubic,-52.100,-40.897,-15 tf_efficientnet_b1_ap,42.803,57.197,58.813,41.187,7.79,240,0.882,bicubic,-50.827,-39.987,+57
efficientnet_b2a,41.963,58.037,58.293,41.707,9.11,288,1.000,bicubic,-52.437,-40.757,-33 gluon_resnet152_v1c,42.800,57.200,57.737,42.263,60.21,224,0.875,bicubic,-51.080,-41.063,+27
ecaresnet50d_pruned,41.937,58.063,58.330,41.670,19.94,224,0.875,bicubic,-51.903,-40.650,+18 gluon_xception65,42.793,57.207,58.820,41.180,39.92,299,0.903,bicubic,-51.217,-40.200,+15
gluon_senet154,41.683,58.317,56.383,43.617,115.09,224,0.875,bicubic,-52.967,-42.607,-50 tresnet_l_448,42.753,57.247,58.947,41.053,55.99,448,0.875,bilinear,-52.657,-40.463,-71
dla102x2,41.607,58.393,57.960,42.040,41.28,224,0.875,bilinear,-52.433,-40.940,-7 resnet50d,42.707,57.293,58.697,41.303,25.58,224,0.875,bicubic,-51.363,-40.223,+9
efficientnet_b2,41.590,58.410,58.087,41.913,9.11,260,0.875,bicubic,-52.750,-41.033,-32 tresnet_m,42.687,57.313,58.153,41.847,31.39,224,0.875,bilinear,-51.383,-40.677,+9
inception_v4,41.560,58.440,55.400,44.600,42.68,299,0.875,bicubic,-52.830,-43.430,-36 gluon_seresnext50_32x4d,42.683,57.317,58.710,41.290,27.56,224,0.875,bicubic,-51.487,-40.200,-3
hrnet_w64,41.547,58.453,57.107,42.893,128.06,224,0.875,bilinear,-52.403,-41.853,-2 resnext101_32x8d,42.557,57.443,58.317,41.683,88.79,224,0.875,bilinear,-51.213,-40.633,+33
tf_efficientnet_cc_b0_8e,41.493,58.507,57.223,42.777,24.01,224,0.875,bicubic,-51.357,-41.257,+81 seresnet50,42.510,57.490,58.667,41.333,28.09,224,0.875,bicubic,-51.570,-40.303,+4
efficientnet_em,41.477,58.523,58.883,41.117,6.90,240,0.882,bicubic,-52.253,-40.057,+20 nf_resnet50,42.400,57.600,59.540,40.460,25.56,288,0.940,bicubic,-52.010,-39.560,-25
resnext50_32x4d,41.403,58.597,57.007,42.993,25.03,224,0.875,bicubic,-52.447,-41.783,+8 dpn98,42.280,57.720,56.880,43.120,61.57,224,0.875,bicubic,-51.660,-42.040,+13
xception71,41.303,58.697,55.930,44.070,42.34,299,0.903,bicubic,-52.587,-42.860,+3 vit_deit_small_patch16_224,42.263,57.737,58.020,41.980,22.05,224,0.900,bicubic,-51.737,-41.010,+8
adv_inception_v3,41.263,58.737,56.327,43.673,23.83,299,0.875,bicubic,-51.697,-42.173,+72 tf_efficientnet_cc_b1_8e,42.233,57.767,58.420,41.580,39.72,240,0.882,bicubic,-51.337,-40.270,+53
tv_resnet152,41.263,58.737,57.510,42.490,60.19,224,0.875,bilinear,-51.957,-41.280,+52 legacy_senet154,42.207,57.793,56.597,43.403,115.09,224,0.875,bilinear,-52.523,-42.503,-54
gernet_s,41.210,58.790,58.700,41.300,8.17,224,0.875,bilinear,-51.270,-39.760,+93 tf_efficientnet_b2,42.120,57.880,58.197,41.803,9.11,260,0.890,bicubic,-52.090,-40.853,-17
dpn92,41.207,58.793,56.397,43.603,37.67,224,0.875,bicubic,-53.033,-42.553,-34 gluon_resnext50_32x4d,42.043,57.957,57.667,42.333,25.03,224,0.875,bicubic,-51.607,-41.023,+39
resnetblur50,41.073,58.927,56.980,43.020,25.56,224,0.875,bicubic,-52.657,-41.830,+14 resnet50,42.013,57.987,56.000,44.000,25.56,224,0.875,bicubic,-51.447,-42.600,+56
nf_regnet_b1,40.993,59.007,58.110,41.890,10.22,288,0.900,bicubic,-52.897,-40.840,0 ecaresnet50d_pruned,41.953,58.047,58.217,41.783,19.94,224,0.875,bicubic,-51.867,-40.783,+17
gluon_inception_v3,40.957,59.043,55.663,44.337,23.83,299,0.875,bicubic,-52.623,-43.347,+28 efficientnet_b2a,41.933,58.067,58.300,41.700,9.11,288,1.000,bicubic,-52.437,-40.750,-31
gluon_resnet50_v1d,40.930,59.070,57.180,42.820,25.58,224,0.875,bicubic,-52.600,-41.650,+33 dla102x2,41.647,58.353,57.967,42.033,41.28,224,0.875,bilinear,-52.353,-40.993,+1
resnet34d,40.910,59.090,56.503,43.497,21.82,224,0.875,bicubic,-51.700,-41.927,+82 hrnet_w64,41.637,58.363,57.130,42.870,128.06,224,0.875,bilinear,-52.193,-41.800,+13
ese_vovnet39b,40.863,59.137,56.943,43.057,24.57,224,0.875,bicubic,-53.077,-41.987,-15 efficientnet_b2,41.627,58.373,58.033,41.967,9.11,260,0.875,bicubic,-52.713,-41.067,-31
regnety_320,40.773,59.227,56.200,43.800,145.05,224,0.875,bicubic,-53.727,-42.950,-62 gluon_senet154,41.627,58.373,56.373,43.627,115.09,224,0.875,bicubic,-53.083,-42.597,-60
skresnext50_32x4d,40.707,59.293,56.023,43.977,27.48,224,0.875,bicubic,-53.193,-42.777,-10 inception_v4,41.577,58.423,55.383,44.617,42.68,299,0.875,bicubic,-52.803,-43.437,-37
xception,40.687,59.313,56.333,43.667,22.86,299,0.897,bicubic,-52.993,-42.487,+11 efficientnet_el,41.497,58.503,58.303,41.697,10.59,300,0.904,bicubic,-53.173,-40.827,-59
gluon_resnet101_v1b,40.647,59.353,56.217,43.783,44.55,224,0.875,bicubic,-53.103,-42.583,+3 efficientnet_em,41.493,58.507,58.877,41.123,6.90,240,0.882,bicubic,-52.247,-40.053,+20
repvgg_b1,40.637,59.363,57.880,42.120,57.42,224,0.875,bilinear,-52.803,-40.860,+32 tf_efficientnet_cc_b0_8e,41.487,58.513,57.377,42.623,24.01,224,0.875,bicubic,-51.383,-41.083,+83
hrnet_w40,40.620,59.380,56.637,43.363,57.56,224,0.875,bilinear,-52.900,-42.173,+26 swin_tiny_patch4_window7_224,41.457,58.543,57.303,42.697,28.29,224,0.900,bicubic,-53.163,-41.817,-56
tf_efficientnet_lite3,40.607,59.393,56.537,43.463,8.20,300,0.904,bilinear,-53.533,-42.493,-42 resnext50_32x4d,41.443,58.557,56.997,43.003,25.03,224,0.875,bicubic,-52.397,-41.833,+4
tresnet_m_448,40.517,59.483,56.667,43.333,31.39,448,0.875,bilinear,-54.153,-42.473,-78 tv_resnet152,41.327,58.673,57.520,42.480,60.19,224,0.875,bilinear,-51.913,-41.330,+55
repvgg_b2,40.470,59.530,57.810,42.190,89.02,224,0.875,bilinear,-53.120,-41.280,+12 xception71,41.270,58.730,55.873,44.127,42.34,299,0.903,bicubic,-52.620,-43.077,-3
dla169,40.447,59.553,57.207,42.793,53.39,224,0.875,bilinear,-53.223,-41.683,+5 dpn92,41.267,58.733,56.333,43.667,37.67,224,0.875,bicubic,-52.923,-42.597,-32
regnetx_320,40.440,59.560,55.640,44.360,107.81,224,0.875,bicubic,-53.790,-43.420,-49 adv_inception_v3,41.263,58.737,56.317,43.683,23.83,299,0.875,bicubic,-51.747,-42.173,+63
legacy_seresnext101_32x4d,40.413,59.587,54.847,45.153,48.96,224,0.875,bilinear,-53.697,-44.103,-43 gernet_s,41.247,58.753,58.830,41.170,8.17,224,0.875,bilinear,-51.193,-39.670,+98
tf_efficientnet_b0_ap,40.333,59.667,56.850,43.150,5.29,224,0.875,bicubic,-52.237,-41.560,+70 resnetblur50,41.053,58.947,57.077,42.923,25.56,224,0.875,bicubic,-52.657,-41.733,+15
skresnet34,40.297,59.703,56.840,43.160,22.28,224,0.875,bicubic,-52.043,-41.680,+75 nf_regnet_b1,41.010,58.990,58.117,41.883,10.22,288,0.900,bicubic,-52.880,-40.633,-10
efficientnet_b2_pruned,40.297,59.703,56.500,43.500,8.31,260,0.890,bicubic,-53.623,-42.410,-26 gluon_resnet50_v1d,40.970,59.030,57.137,42.863,25.58,224,0.875,bicubic,-52.560,-41.573,+32
wide_resnet101_2,40.257,59.743,55.690,44.310,126.89,224,0.875,bilinear,-53.583,-43.110,-16 gluon_inception_v3,40.907,59.093,55.617,44.383,23.83,299,0.875,bicubic,-52.633,-43.213,+29
regnetx_160,40.247,59.753,56.033,43.967,54.28,224,0.875,bicubic,-53.763,-43.087,-38 ese_vovnet39b,40.867,59.133,56.950,43.050,24.57,224,0.875,bicubic,-52.983,-41.950,-7
xception65,40.243,59.757,55.243,44.757,39.92,299,0.903,bicubic,-53.567,-43.607,-15 regnety_320,40.813,59.187,56.117,43.883,145.05,224,0.875,bicubic,-53.707,-43.053,-60
hrnet_w48,40.207,59.793,56.510,43.490,77.47,224,0.875,bilinear,-53.723,-42.510,-33 resnet34d,40.810,59.190,56.530,43.470,21.82,224,0.875,bicubic,-51.830,-41.890,+79
densenet201,40.200,59.800,56.693,43.307,20.01,224,0.875,bicubic,-52.460,-41.987,+58 xception,40.763,59.237,56.387,43.613,22.86,299,0.897,bicubic,-52.877,-42.383,+14
vit_small_patch16_224,40.150,59.850,56.563,43.437,48.75,224,0.900,bicubic,-52.470,-41.837,+59 skresnext50_32x4d,40.700,59.300,56.023,43.977,27.48,224,0.875,bicubic,-53.250,-42.797,-20
hrnet_w30,40.147,59.853,57.083,42.917,37.71,224,0.875,bilinear,-53.223,-41.797,+17 gluon_resnet101_v1b,40.683,59.317,56.117,43.883,44.55,224,0.875,bicubic,-53.077,-42.723,-2
resnext50d_32x4d,40.120,59.880,55.503,44.497,25.05,224,0.875,bicubic,-53.870,-43.287,-41 hrnet_w40,40.660,59.340,56.753,43.247,57.56,224,0.875,bilinear,-53.050,-42.047,+4
gluon_resnet101_v1c,40.043,59.957,55.203,44.797,44.57,224,0.875,bicubic,-53.707,-43.517,-18 repvgg_b1,40.593,59.407,57.837,42.163,57.42,224,0.875,bilinear,-52.817,-40.953,+31
tf_efficientnet_b1,39.973,60.027,56.087,43.913,7.79,240,0.882,bicubic,-53.737,-42.713,-14 tf_efficientnet_lite3,40.563,59.437,56.477,43.523,8.20,300,0.904,bilinear,-53.567,-42.483,-38
regnetx_080,39.963,60.037,55.920,44.080,39.57,224,0.875,bicubic,-53.947,-42.990,-37 tresnet_m_448,40.530,59.470,56.700,43.300,31.39,448,0.875,bilinear,-54.130,-42.390,-80
legacy_seresnet152,39.940,60.060,55.787,44.213,66.82,224,0.875,bilinear,-53.390,-42.973,+14 pit_xs_224,40.497,59.503,56.530,43.470,10.62,224,0.900,bicubic,-52.413,-42.160,+54
res2net101_26w_4s,39.757,60.243,54.563,45.437,45.21,224,0.875,bilinear,-53.833,-44.137,-5 dla169,40.493,59.507,57.263,42.737,53.39,224,0.875,bilinear,-53.307,-41.577,-12
hrnet_w44,39.723,60.277,55.357,44.643,67.06,224,0.875,bilinear,-53.937,-43.573,-13 repvgg_b2,40.467,59.533,57.780,42.220,89.02,224,0.875,bilinear,-53.123,-40.970,+13
densenet161,39.697,60.303,56.183,43.817,28.68,224,0.875,bicubic,-53.293,-42.597,+28 regnetx_320,40.443,59.557,55.660,44.340,107.81,224,0.875,bicubic,-53.767,-43.370,-53
mixnet_xl,39.650,60.350,55.873,44.127,11.90,224,0.875,bicubic,-54.600,-42.967,-73 skresnet34,40.397,59.603,56.737,43.263,22.28,224,0.875,bicubic,-52.173,-41.783,+74
res2net50_26w_8s,39.610,60.390,54.533,45.467,48.40,224,0.875,bilinear,-53.980,-44.177,-10 efficientnet_el_pruned,40.390,59.610,56.903,43.097,10.59,300,0.904,bicubic,-53.700,-42.077,-43
xception41,39.583,60.417,54.993,45.007,26.97,299,0.903,bicubic,-53.927,-43.757,0 efficientnet_b2_pruned,40.383,59.617,56.537,43.463,8.31,260,0.890,bicubic,-53.417,-42.373,-16
regnetx_120,39.580,60.420,55.680,44.320,46.11,224,0.875,bicubic,-54.660,-43.510,-73 legacy_seresnext101_32x4d,40.360,59.640,54.817,45.183,48.96,224,0.875,bilinear,-53.770,-44.153,-48
dla102x,39.513,60.487,56.313,43.687,26.31,224,0.875,bilinear,-54.017,-42.547,-5 wide_resnet101_2,40.360,59.640,55.780,44.220,126.89,224,0.875,bilinear,-53.370,-43.030,-9
hrnet_w32,39.503,60.497,56.057,43.943,41.23,224,0.875,bilinear,-53.497,-42.803,+21 tf_efficientnet_b0_ap,40.337,59.663,56.787,43.213,5.29,224,0.875,bicubic,-52.273,-41.583,+64
rexnet_130,39.397,60.603,56.647,43.353,7.56,224,0.875,bicubic,-54.223,-42.073,-19 xception65,40.273,59.727,55.283,44.717,39.92,299,0.903,bicubic,-53.487,-43.517,-16
regnety_120,39.357,60.643,55.270,44.730,51.82,224,0.875,bicubic,-54.603,-43.790,-55 regnetx_160,40.270,59.730,56.050,43.950,54.28,224,0.875,bicubic,-53.610,-43.040,-30
regnety_064,39.317,60.683,55.823,44.177,30.58,224,0.875,bicubic,-54.793,-43.197,-69 densenet201,40.267,59.733,56.710,43.290,20.01,224,0.875,bicubic,-52.423,-41.940,+55
tv_resnet101,39.297,60.703,55.773,44.227,44.55,224,0.875,bilinear,-53.643,-42.867,+25 resnext50d_32x4d,40.170,59.830,55.487,44.513,25.05,224,0.875,bicubic,-53.640,-43.253,-25
densenetblur121d,39.290,60.710,56.577,43.423,8.00,224,0.875,bicubic,-53.020,-41.813,+51 vit_small_patch16_224,40.130,59.870,56.543,43.457,48.75,224,0.900,bicubic,-52.470,-41.847,+61
tf_efficientnet_el,39.287,60.713,55.347,44.653,10.59,300,0.904,bicubic,-55.163,-43.753,-97 hrnet_w48,40.093,59.907,56.640,43.360,77.47,224,0.875,bilinear,-53.937,-42.400,-47
gluon_resnet50_v1s,39.283,60.717,55.003,44.997,25.68,224,0.875,bicubic,-54.277,-43.817,-17 legacy_seresnet152,40.043,59.957,55.820,44.180,66.82,224,0.875,bilinear,-53.397,-43.030,+10
regnety_160,39.270,60.730,55.450,44.550,83.59,224,0.875,bicubic,-55.010,-43.620,-88 hrnet_w30,40.030,59.970,57.093,42.907,37.71,224,0.875,bilinear,-53.340,-41.737,+13
tf_inception_v3,39.247,60.753,54.237,45.763,23.83,299,0.875,bicubic,-53.953,-44.273,+1 regnetx_080,40.000,60.000,55.977,44.023,39.57,224,0.875,bicubic,-53.790,-42.933,-27
densenet169,39.120,60.880,55.850,44.150,14.15,224,0.875,bicubic,-53.080,-42.720,+50 tf_efficientnet_b1,39.977,60.023,56.137,43.863,7.79,240,0.882,bicubic,-53.733,-42.663,-17
efficientnet_b1_pruned,39.027,60.973,55.623,44.377,6.33,240,0.882,bicubic,-53.973,-42.897,+9 gluon_resnet101_v1c,39.953,60.047,55.300,44.700,44.57,224,0.875,bicubic,-53.737,-43.460,-17
legacy_seresnet101,39.017,60.983,55.027,44.973,49.33,224,0.875,bilinear,-54.233,-43.733,-5 res2net101_26w_4s,39.717,60.283,54.550,45.450,45.21,224,0.875,bilinear,-53.803,-44.050,0
repvgg_b1g4,38.997,61.003,56.370,43.630,39.97,224,0.875,bilinear,-53.943,-42.430,+15 regnetx_120,39.687,60.313,55.633,44.367,46.11,224,0.875,bicubic,-54.583,-43.557,-77
dpn68,38.983,61.017,54.897,45.103,12.61,224,0.875,bicubic,-53.307,-43.683,+43 hrnet_w44,39.677,60.323,55.333,44.667,67.06,224,0.875,bilinear,-53.943,-43.627,-12
inception_v3,38.973,61.027,53.840,46.160,23.83,299,0.875,bicubic,-53.997,-44.490,+11 densenet161,39.620,60.380,56.133,43.867,28.68,224,0.875,bicubic,-53.280,-42.677,+33
regnety_080,38.947,61.053,55.203,44.797,39.18,224,0.875,bicubic,-54.853,-43.797,-49 mixnet_xl,39.617,60.383,55.887,44.113,11.90,224,0.875,bicubic,-54.613,-42.933,-77
legacy_seresnext50_32x4d,38.947,61.053,54.637,45.363,27.56,224,0.875,bilinear,-54.613,-44.113,-25 xception41,39.610,60.390,55.037,44.963,26.97,299,0.903,bicubic,-53.870,-43.713,-3
regnety_040,38.857,61.143,55.627,44.373,20.65,224,0.875,bicubic,-54.743,-43.363,-34 res2net50_26w_8s,39.603,60.397,54.550,45.450,48.40,224,0.875,bilinear,-53.847,-44.150,-2
regnetx_032,38.777,61.223,55.257,44.743,15.30,224,0.875,bicubic,-54.573,-43.403,-15 dla102x,39.553,60.447,56.323,43.677,26.31,224,0.875,bilinear,-53.977,-42.527,-9
regnetx_040,38.743,61.257,55.340,44.660,22.12,224,0.875,bicubic,-54.967,-43.540,-46 rexnet_130,39.487,60.513,56.640,43.360,7.56,224,0.875,bicubic,-54.183,-42.070,-24
densenet121,38.730,61.270,56.310,43.690,7.98,224,0.875,bicubic,-53.220,-41.870,+45 hrnet_w32,39.463,60.537,56.123,43.877,41.23,224,0.875,bilinear,-53.487,-42.717,+23
res2net50_14w_8s,38.713,61.287,54.023,45.977,25.06,224,0.875,bilinear,-54.267,-44.597,+2 regnety_064,39.403,60.597,55.773,44.227,30.58,224,0.875,bicubic,-54.737,-43.257,-74
res2net50_26w_6s,38.697,61.303,53.787,46.213,37.05,224,0.875,bilinear,-54.853,-45.013,-30 densenetblur121d,39.380,60.620,56.640,43.360,8.00,224,0.875,bicubic,-53.020,-41.770,+53
dla102,38.677,61.323,55.250,44.750,33.27,224,0.875,bilinear,-54.593,-43.550,-18 regnety_120,39.347,60.653,55.277,44.723,51.82,224,0.875,bicubic,-54.663,-43.753,-63
dla60x,38.663,61.337,55.463,44.537,17.35,224,0.875,bilinear,-54.417,-43.247,-9 tv_resnet101,39.307,60.693,55.803,44.197,44.55,224,0.875,bilinear,-53.573,-42.857,+26
tf_efficientnet_b0,38.653,61.347,55.967,44.033,5.29,224,0.875,bicubic,-53.707,-42.503,+27 tf_efficientnet_el,39.303,60.697,55.387,44.613,10.59,300,0.904,bicubic,-55.057,-43.713,-95
dla60_res2net,38.623,61.377,54.710,45.290,20.85,224,0.875,bilinear,-54.817,-44.160,-27 tf_inception_v3,39.237,60.763,54.300,45.700,23.83,299,0.875,bicubic,-53.963,-44.180,+2
selecsls60b,38.617,61.383,55.373,44.627,32.77,224,0.875,bicubic,-54.833,-43.477,-29 gluon_resnet50_v1s,39.233,60.767,55.010,44.990,25.68,224,0.875,bicubic,-54.357,-44.060,-23
selecsls60,38.607,61.393,55.567,44.433,30.67,224,0.875,bicubic,-54.373,-43.183,-4 densenet169,39.167,60.833,55.843,44.157,14.15,224,0.875,bicubic,-53.133,-42.747,+51
repvgg_a2,38.567,61.433,55.827,44.173,28.21,224,0.875,bilinear,-54.133,-42.773,+10 legacy_seresnet101,39.037,60.963,55.003,44.997,49.33,224,0.875,bilinear,-54.223,-43.737,-7
regnetx_064,38.563,61.437,54.940,45.060,26.21,224,0.875,bicubic,-55.077,-44.100,-50 efficientnet_b1_pruned,39.010,60.990,55.647,44.353,6.33,240,0.882,bicubic,-53.970,-42.883,+10
tf_efficientnet_cc_b0_4e,38.487,61.513,55.157,44.843,13.31,224,0.875,bicubic,-54.253,-43.393,+4 repvgg_b1g4,38.990,61.010,56.350,43.650,39.97,224,0.875,bilinear,-54.040,-42.350,+5
dla60_res2next,38.453,61.547,54.860,45.140,17.03,224,0.875,bilinear,-54.917,-43.960,-31 inception_v3,38.960,61.040,53.853,46.147,23.83,299,0.875,bicubic,-53.940,-44.477,+16
gluon_resnet50_v1b,38.410,61.590,54.833,45.167,25.56,224,0.875,bicubic,-54.320,-43.727,+4 dpn68,38.933,61.067,54.933,45.067,12.61,224,0.875,bicubic,-53.307,-43.677,+48
resnetv2_50x1_bitm,38.330,61.670,56.980,43.020,25.55,480,1.000,bilinear,-56.170,-42.280,-131 regnety_080,38.917,61.083,55.213,44.787,39.18,224,0.875,bicubic,-54.973,-43.787,-66
hrnet_w18,38.267,61.733,55.633,44.367,21.30,224,0.875,bilinear,-54.593,-43.057,-5 legacy_seresnext50_32x4d,38.877,61.123,54.593,45.407,27.56,224,0.875,bilinear,-54.553,-44.207,-18
mixnet_l,38.123,61.877,54.793,45.207,7.33,224,0.875,bicubic,-55.027,-43.887,-24 dla102,38.833,61.167,55.323,44.677,33.27,224,0.875,bilinear,-54.427,-43.457,-15
efficientnet_es,37.850,62.150,54.893,45.107,5.44,224,0.875,bicubic,-55.160,-43.847,-20 regnety_040,38.820,61.180,55.557,44.443,20.65,224,0.875,bicubic,-54.800,-43.393,-35
efficientnet_b1,37.800,62.200,53.637,46.363,7.79,240,0.875,bicubic,-55.300,-44.953,-24 densenet121,38.783,61.217,56.273,43.727,7.98,224,0.875,bicubic,-53.157,-42.127,+51
res2net50_26w_4s,37.780,62.220,53.120,46.880,25.70,224,0.875,bilinear,-55.430,-45.510,-31 res2net50_14w_8s,38.710,61.290,54.077,45.923,25.06,224,0.875,bilinear,-54.320,-44.743,-4
resnest14d,37.763,62.237,56.503,43.497,10.61,224,0.875,bilinear,-53.407,-41.797,+45 regnetx_040,38.703,61.297,55.340,44.660,22.12,224,0.875,bicubic,-54.977,-43.600,-46
gluon_resnet50_v1c,37.717,62.283,54.100,45.900,25.58,224,0.875,bicubic,-55.273,-44.540,-19 res2net50_26w_6s,38.687,61.313,53.743,46.257,37.05,224,0.875,bilinear,-54.903,-45.097,-38
ecaresnet26t,37.663,62.337,54.447,45.553,16.01,320,0.950,bicubic,-56.257,-44.493,-92 regnetx_032,38.680,61.320,55.157,44.843,15.30,224,0.875,bicubic,-54.570,-43.573,-18
tv_resnext50_32x4d,37.623,62.377,54.100,45.900,25.03,224,0.875,bilinear,-55.317,-44.620,-14 selecsls60,38.623,61.377,55.630,44.370,30.67,224,0.875,bicubic,-54.387,-43.200,-5
res2next50,37.523,62.477,52.810,47.190,24.67,224,0.875,bilinear,-55.657,-45.860,-34 dla60x,38.617,61.383,55.383,44.617,17.35,224,0.875,bilinear,-54.573,-43.327,-15
resnet34,37.410,62.590,54.327,45.673,21.80,224,0.875,bilinear,-53.920,-43.833,+34 tf_efficientnet_b0,38.600,61.400,55.957,44.043,5.29,224,0.875,bicubic,-53.800,-42.513,+31
res2net50_48w_2s,37.247,62.753,53.293,46.707,25.29,224,0.875,bilinear,-55.423,-45.167,-6 dla60_res2net,38.590,61.410,54.560,45.440,20.85,224,0.875,bilinear,-54.790,-44.300,-27
regnety_016,37.157,62.843,54.107,45.893,11.20,224,0.875,bicubic,-55.913,-44.633,-31 selecsls60b,38.573,61.427,55.307,44.693,32.77,224,0.875,bicubic,-54.927,-43.533,-35
rexnet_100,37.063,62.937,54.073,45.927,4.80,224,0.875,bicubic,-55.697,-44.557,-14 repvgg_a2,38.563,61.437,55.770,44.230,28.21,224,0.875,bilinear,-54.117,-42.750,+10
tf_mixnet_l,37.040,62.960,52.543,47.457,7.33,224,0.875,bicubic,-55.970,-45.997,-31 hardcorenas_f,38.500,61.500,55.657,44.343,8.20,224,0.875,bilinear,-54.480,-42.963,-8
dla60,37.027,62.973,54.283,45.717,22.04,224,0.875,bilinear,-55.683,-44.367,-12 dla60_res2next,38.450,61.550,54.950,45.050,17.03,224,0.875,bilinear,-55.120,-43.850,-44
mobilenetv2_120d,36.790,63.210,53.987,46.013,5.83,224,0.875,bicubic,-55.980,-44.493,-18 regnetx_064,38.430,61.570,54.990,45.010,26.21,224,0.875,bicubic,-55.200,-44.060,-53
legacy_seresnet50,36.787,63.213,53.363,46.637,28.09,224,0.875,bilinear,-56.033,-45.287,-20 tf_efficientnet_cc_b0_4e,38.413,61.587,55.150,44.850,13.31,224,0.875,bicubic,-54.427,-43.290,+1
tv_densenet121,36.763,63.237,54.057,45.943,7.98,224,0.875,bicubic,-54.667,-44.223,+22 gluon_resnet50_v1b,38.407,61.593,54.833,45.167,25.56,224,0.875,bicubic,-54.153,-43.717,+16
tf_efficientnet_lite1,36.750,63.250,53.487,46.513,5.42,240,0.882,bicubic,-55.580,-45.023,0 resnetv2_50x1_bitm,38.287,61.713,56.967,43.033,25.55,480,1.000,bilinear,-56.263,-41.963,-136
regnetx_016,36.707,63.293,53.350,46.650,9.19,224,0.875,bicubic,-55.913,-45.180,-13 hrnet_w18,38.277,61.723,55.643,44.357,21.30,224,0.875,bilinear,-54.483,-43.017,+1
tf_efficientnet_lite2,36.700,63.300,53.277,46.723,6.09,260,0.890,bicubic,-55.890,-45.293,-11 mixnet_l,38.160,61.840,54.757,45.243,7.33,224,0.875,bicubic,-55.100,-43.943,-33
efficientnet_b0,36.487,63.513,53.487,46.513,5.29,224,0.875,bicubic,-56.063,-45.153,-10 hardcorenas_e,38.137,61.863,55.173,44.827,8.07,224,0.875,bilinear,-54.813,-43.397,-15
tf_efficientnet_em,36.343,63.657,52.767,47.233,6.90,240,0.882,bicubic,-56.817,-45.903,-47 hardcorenas_c,37.883,62.117,55.717,44.283,5.52,224,0.875,bilinear,-54.447,-42.623,+19
skresnet18,36.210,63.790,54.160,45.840,11.96,224,0.875,bicubic,-53.970,-43.700,+40 efficientnet_b1,37.843,62.157,53.640,46.360,7.79,240,0.875,bicubic,-55.217,-44.900,-26
repvgg_b0,36.197,63.803,53.873,46.127,15.82,224,0.875,bilinear,-55.403,-44.577,+10 gluon_resnet50_v1c,37.843,62.157,54.123,45.877,25.58,224,0.875,bicubic,-55.067,-44.587,-15
legacy_seresnet34,36.193,63.807,52.517,47.483,21.96,224,0.875,bilinear,-55.337,-45.803,+12 res2net50_26w_4s,37.827,62.173,53.073,46.927,25.70,224,0.875,bilinear,-55.353,-45.597,-31
tv_resnet50,36.110,63.890,52.737,47.263,25.56,224,0.875,bilinear,-56.070,-45.683,-2 efficientnet_es,37.770,62.230,54.967,45.033,5.44,224,0.875,bicubic,-55.140,-43.813,-16
vit_deit_tiny_distilled_patch16_224,36.027,63.973,54.237,45.763,5.91,224,0.900,bicubic,-55.093,-44.073,+26 resnest14d,37.767,62.233,56.470,43.530,10.61,224,0.875,bilinear,-53.363,-41.860,+50
tv_resnet34,36.023,63.977,53.493,46.507,21.80,224,0.875,bilinear,-54.367,-44.437,+33 tv_resnext50_32x4d,37.750,62.250,54.113,45.887,25.03,224,0.875,bilinear,-55.150,-44.607,-15
mobilenetv2_140,35.997,64.003,53.997,46.003,6.11,224,0.875,bicubic,-56.113,-44.253,-4 ecaresnet26t,37.650,62.350,54.350,45.650,16.01,320,0.950,bicubic,-56.290,-44.570,-99
tf_efficientnet_lite0,35.993,64.007,53.410,46.590,4.65,224,0.875,bicubic,-55.287,-44.650,+15 hardcorenas_d,37.550,62.450,54.723,45.277,7.50,224,0.875,bilinear,-55.050,-43.707,-2
selecsls42b,35.790,64.210,52.427,47.573,32.46,224,0.875,bicubic,-56.680,-46.083,-17 res2next50,37.477,62.523,52.853,47.147,24.67,224,0.875,bilinear,-55.673,-45.807,-35
gluon_resnet34_v1b,35.730,64.270,52.170,47.830,21.80,224,0.875,bicubic,-55.290,-45.970,+23 resnet34,37.443,62.557,54.297,45.703,21.80,224,0.875,bilinear,-53.757,-43.753,+41
efficientnet_lite0,35.643,64.357,53.657,46.343,4.65,224,0.875,bicubic,-55.577,-44.533,+14 pit_ti_distilled_224,37.337,62.663,55.137,44.863,5.10,224,0.900,bicubic,-53.563,-43.083,+49
ssl_resnet18,35.637,64.363,53.873,46.127,11.69,224,0.875,bilinear,-55.203,-44.147,+23 hardcorenas_b,37.243,62.757,55.073,44.927,5.18,224,0.875,bilinear,-54.697,-43.207,+18
mobilenetv3_rw,35.580,64.420,53.667,46.333,5.48,224,0.875,bicubic,-55.970,-44.673,+1 res2net50_48w_2s,37.117,62.883,53.333,46.667,25.29,224,0.875,bilinear,-55.673,-45.137,-16
mixnet_m,35.570,64.430,52.423,47.577,5.01,224,0.875,bicubic,-56.640,-45.937,-14 dla60,37.073,62.927,54.200,45.800,22.04,224,0.875,bilinear,-55.597,-44.430,-13
dla34,35.567,64.433,52.770,47.230,15.74,224,0.875,bilinear,-55.663,-45.370,+9 rexnet_100,37.063,62.937,54.020,45.980,4.80,224,0.875,bicubic,-55.787,-44.600,-21
mobilenetv2_110d,35.337,64.663,52.850,47.150,4.52,224,0.875,bicubic,-55.763,-45.290,+16 regnety_016,37.017,62.983,54.093,45.907,11.20,224,0.875,bicubic,-55.983,-44.587,-35
tf_mixnet_m,35.163,64.837,51.053,48.947,5.01,224,0.875,bicubic,-57.107,-47.437,-19 tf_mixnet_l,36.987,63.013,52.583,47.417,7.33,224,0.875,bicubic,-56.053,-45.957,-41
hrnet_w18_small_v2,35.163,64.837,52.423,47.577,15.60,224,0.875,bilinear,-56.127,-45.977,+5 legacy_seresnet50,36.873,63.127,53.487,46.513,28.09,224,0.875,bilinear,-55.797,-45.163,-16
resnet18d,34.993,65.007,52.877,47.123,11.71,224,0.875,bicubic,-54.867,-45.023,+24 tv_densenet121,36.810,63.190,54.033,45.967,7.98,224,0.875,bicubic,-54.590,-44.217,+26
ese_vovnet19b_dw,34.870,65.130,52.063,47.937,6.54,224,0.875,bicubic,-57.220,-46.447,-15 tf_efficientnet_lite2,36.807,63.193,53.320,46.680,6.09,260,0.890,bicubic,-55.783,-45.230,-12
regnety_008,34.700,65.300,51.767,48.233,6.26,224,0.875,bicubic,-57.110,-46.643,-13 mobilenetv2_120d,36.780,63.220,54.047,45.953,5.83,224,0.875,bicubic,-55.830,-44.463,-17
seresnext26d_32x4d,34.590,65.410,51.547,48.453,16.81,224,0.875,bicubic,-57.850,-47.003,-29 tf_efficientnet_lite1,36.737,63.263,53.590,46.410,5.42,240,0.882,bicubic,-55.573,-44.900,-2
mobilenetv3_large_100,34.573,65.427,52.797,47.203,5.48,224,0.875,bicubic,-56.917,-45.513,-7 regnetx_016,36.683,63.317,53.297,46.703,9.19,224,0.875,bicubic,-55.857,-45.253,-11
seresnext26t_32x4d,34.493,65.507,51.317,48.683,16.81,224,0.875,bicubic,-58.247,-47.203,-46 hardcorenas_a,36.640,63.360,54.910,45.090,5.26,224,0.875,bilinear,-54.980,-43.260,+14
resnet26d,34.313,65.687,51.677,48.323,16.01,224,0.875,bicubic,-57.787,-46.783,-21 efficientnet_b0,36.600,63.400,53.497,46.503,5.29,224,0.875,bicubic,-55.880,-45.183,-12
tf_efficientnet_es,34.247,65.753,51.357,48.643,5.44,224,0.875,bicubic,-57.833,-47.103,-20 tf_efficientnet_em,36.380,63.620,52.840,47.160,6.90,240,0.882,bicubic,-56.790,-45.830,-53
regnety_006,34.243,65.757,51.323,48.677,6.06,224,0.875,bicubic,-57.327,-47.067,-14 skresnet18,36.320,63.680,54.197,45.803,11.96,224,0.875,bicubic,-53.840,-43.583,+42
fbnetc_100,34.220,65.780,51.183,48.817,5.57,224,0.875,bilinear,-56.920,-46.687,0 repvgg_b0,36.287,63.713,54.057,45.943,15.82,224,0.875,bilinear,-55.393,-44.393,+7
tf_mobilenetv3_large_100,33.993,66.007,51.397,48.603,5.48,224,0.875,bilinear,-57.417,-46.893,-11 tv_resnet50,36.177,63.823,52.803,47.197,25.56,224,0.875,bilinear,-55.963,-45.617,-3
regnetx_008,33.750,66.250,50.490,49.510,7.26,224,0.875,bicubic,-57.590,-47.860,-10 legacy_seresnet34,36.143,63.857,52.553,47.447,21.96,224,0.875,bilinear,-55.337,-45.767,+12
mnasnet_100,33.677,66.323,51.113,48.887,4.38,224,0.875,bicubic,-57.533,-46.917,-5 tv_resnet34,36.087,63.913,53.533,46.467,21.80,224,0.875,bilinear,-54.203,-44.447,+37
semnasnet_100,33.567,66.433,50.670,49.330,3.89,224,0.875,bicubic,-58.053,-47.640,-21 vit_deit_tiny_distilled_patch16_224,36.023,63.977,54.240,45.760,5.91,224,0.900,bicubic,-55.077,-44.030,+25
spnasnet_100,33.517,66.483,51.297,48.703,4.42,224,0.875,bilinear,-57.123,-46.623,+4 mobilenetv2_140,36.000,64.000,53.943,46.057,6.11,224,0.875,bicubic,-56.030,-44.307,-5
mixnet_s,33.503,66.497,51.047,48.953,4.13,224,0.875,bicubic,-58.297,-47.283,-25 tf_efficientnet_lite0,35.930,64.070,53.480,46.520,4.65,224,0.875,bicubic,-55.370,-44.610,+13
resnet26,33.477,66.523,50.923,49.077,16.00,224,0.875,bicubic,-57.913,-47.437,-16 selecsls42b,35.813,64.187,52.487,47.513,32.46,224,0.875,bicubic,-56.667,-45.953,-21
vgg19_bn,33.187,66.813,50.840,49.160,143.68,224,0.875,bilinear,-57.933,-47.320,-6 gluon_resnet34_v1b,35.763,64.237,52.187,47.813,21.80,224,0.875,bicubic,-55.337,-45.993,+20
regnetx_006,33.173,66.827,50.267,49.733,6.20,224,0.875,bicubic,-57.747,-47.803,-3 dla34,35.643,64.357,52.783,47.217,15.74,224,0.875,bilinear,-55.597,-45.397,+13
resnet18,33.103,66.897,51.120,48.880,11.69,224,0.875,bilinear,-54.947,-45.990,+17 mixnet_m,35.640,64.360,52.430,47.570,5.01,224,0.875,bicubic,-56.630,-45.920,-16
legacy_seresnext26_32x4d,32.823,67.177,49.200,50.800,16.79,224,0.875,bicubic,-59.707,-49.250,-49 efficientnet_lite0,35.620,64.380,53.657,46.343,4.65,224,0.875,bicubic,-55.640,-44.593,+10
vit_deit_tiny_patch16_224,32.757,67.243,50.273,49.727,5.72,224,0.900,bicubic,-56.873,-47.657,+6 ssl_resnet18,35.597,64.403,53.740,46.260,11.69,224,0.875,bilinear,-55.103,-44.280,+23
hrnet_w18_small,32.677,67.323,50.637,49.363,13.19,224,0.875,bilinear,-56.963,-47.203,+4 mobilenetv3_rw,35.547,64.453,53.713,46.287,5.48,224,0.875,bicubic,-56.003,-44.557,-1
legacy_seresnet18,32.660,67.340,50.277,49.723,11.78,224,0.875,bicubic,-56.630,-47.513,+7 efficientnet_es_pruned,35.390,64.610,52.850,47.150,5.44,224,0.875,bicubic,-56.310,-45.570,-8
gluon_resnet18_v1b,32.477,67.523,49.817,50.183,11.69,224,0.875,bicubic,-56.293,-47.263,+9 mobilenetv2_110d,35.293,64.707,52.830,47.170,4.52,224,0.875,bicubic,-56.057,-45.360,+3
mobilenetv2_100,32.473,67.527,50.823,49.177,3.50,224,0.875,bicubic,-57.417,-47.027,-2 tf_mixnet_m,35.180,64.820,50.987,49.013,5.01,224,0.875,bicubic,-57.020,-47.433,-19
regnetx_004,32.457,67.543,49.383,50.617,5.16,224,0.875,bicubic,-57.153,-48.397,+2 hrnet_w18_small_v2,35.173,64.827,52.440,47.560,15.60,224,0.875,bilinear,-55.997,-45.900,+9
regnety_004,32.370,67.630,49.390,50.610,4.34,224,0.875,bicubic,-58.380,-48.680,-10 resnet18d,35.127,64.873,52.890,47.110,11.71,224,0.875,bicubic,-54.863,-44.940,+24
tf_mixnet_s,32.143,67.857,48.447,51.553,4.13,224,0.875,bicubic,-59.517,-49.713,-37 ese_vovnet19b_dw,34.840,65.160,52.030,47.970,6.54,224,0.875,bicubic,-57.170,-46.480,-18
tf_mobilenetv3_large_075,31.803,68.197,49.040,50.960,3.99,224,0.875,bilinear,-58.557,-48.800,-8 regnety_008,34.807,65.193,51.743,48.257,6.26,224,0.875,bicubic,-57.093,-46.677,-16
tf_mobilenetv3_large_minimal_100,31.653,68.347,49.397,50.603,3.92,224,0.875,bilinear,-57.637,-47.983,+1 pit_ti_224,34.670,65.330,52.170,47.830,4.85,224,0.900,bicubic,-55.750,-45.840,+17
vgg16_bn,30.383,69.617,47.363,52.637,138.37,224,0.875,bilinear,-60.237,-50.687,-12 mobilenetv3_large_100,34.603,65.397,52.860,47.140,5.48,224,0.875,bicubic,-56.877,-45.340,-9
regnety_002,29.733,70.267,46.833,53.167,3.16,224,0.875,bicubic,-58.447,-50.597,+3 seresnext26d_32x4d,34.543,65.457,51.543,48.457,16.81,224,0.875,bicubic,-57.897,-46.997,-35
vgg13_bn,28.860,71.140,46.617,53.383,133.05,224,0.875,bilinear,-60.340,-51.023,-1 seresnext26t_32x4d,34.540,65.460,51.377,48.623,16.81,224,0.875,bicubic,-58.280,-47.183,-56
regnetx_002,28.843,71.157,45.480,54.520,2.68,224,0.875,bicubic,-58.367,-51.420,+5 resnet26d,34.273,65.727,51.687,48.313,16.01,224,0.875,bicubic,-57.957,-46.763,-29
vgg19,28.490,71.510,45.117,54.883,143.67,224,0.875,bilinear,-61.200,-52.463,-10 tf_efficientnet_es,34.263,65.737,51.350,48.650,5.44,224,0.875,bicubic,-57.837,-47.090,-27
vgg11_bn,28.443,71.557,46.400,53.600,132.87,224,0.875,bilinear,-59.867,-50.890,-2 fbnetc_100,34.253,65.747,51.180,48.820,5.57,224,0.875,bilinear,-57.017,-46.650,-7
dla60x_c,28.297,71.703,46.123,53.877,1.32,224,0.875,bilinear,-58.893,-50.967,+3 regnety_006,34.150,65.850,51.277,48.723,6.06,224,0.875,bicubic,-57.420,-47.153,-17
vgg16,27.870,72.130,44.650,55.350,138.36,224,0.875,bilinear,-61.620,-52.880,-9 tf_mobilenetv3_large_100,33.950,66.050,51.490,48.510,5.48,224,0.875,bilinear,-57.470,-46.770,-13
tf_mobilenetv3_small_100,27.293,72.707,44.540,55.460,2.54,224,0.875,bilinear,-58.577,-51.770,+2 regnetx_008,33.770,66.230,50.547,49.453,7.26,224,0.875,bicubic,-57.410,-47.833,-5
vgg11,26.487,73.513,43.400,56.600,132.86,224,0.875,bilinear,-60.883,-53.610,-2 mnasnet_100,33.763,66.237,51.170,48.830,4.38,224,0.875,bicubic,-57.437,-47.070,-7
vgg13,26.307,73.693,43.460,56.540,133.05,224,0.875,bilinear,-61.253,-53.700,-4 semnasnet_100,33.520,66.480,50.787,49.213,3.89,224,0.875,bicubic,-58.140,-47.483,-23
tf_mobilenetv3_small_075,26.217,73.783,43.683,56.317,2.04,224,0.875,bilinear,-58.553,-52.197,+1 resnet26,33.500,66.500,50.927,49.073,16.00,224,0.875,bicubic,-57.940,-47.353,-18
dla46x_c,26.193,73.807,43.830,56.170,1.07,224,0.875,bilinear,-59.497,-52.630,-1 mixnet_s,33.480,66.520,50.997,49.003,4.13,224,0.875,bicubic,-58.300,-47.303,-29
dla46_c,25.437,74.563,43.840,56.160,1.30,224,0.875,bilinear,-59.253,-52.380,0 spnasnet_100,33.477,66.523,51.267,48.733,4.42,224,0.875,bilinear,-57.133,-46.683,+1
tf_mobilenetv3_small_minimal_100,25.123,74.877,42.900,57.100,2.04,224,0.875,bilinear,-57.647,-52.180,0 vgg19_bn,33.230,66.770,50.803,49.197,143.68,224,0.875,bilinear,-57.760,-47.307,-5
regnetx_006,33.157,66.843,50.250,49.750,6.20,224,0.875,bicubic,-57.603,-47.850,-3
resnet18,33.067,66.933,51.170,48.830,11.69,224,0.875,bilinear,-55.083,-45.950,+17
legacy_seresnext26_32x4d,32.757,67.243,49.237,50.763,16.79,224,0.875,bicubic,-59.813,-49.183,-58
hrnet_w18_small,32.667,67.333,50.587,49.413,13.19,224,0.875,bilinear,-57.213,-47.313,+3
vit_deit_tiny_patch16_224,32.667,67.333,50.273,49.727,5.72,224,0.900,bicubic,-56.953,-47.687,+5
legacy_seresnet18,32.600,67.400,50.340,49.660,11.78,224,0.875,bicubic,-56.670,-47.340,+7
mobilenetv2_100,32.523,67.477,50.800,49.200,3.50,224,0.875,bicubic,-57.307,-47.030,+1
regnetx_004,32.517,67.483,49.343,50.657,5.16,224,0.875,bicubic,-56.943,-48.427,+3
gluon_resnet18_v1b,32.407,67.593,49.727,50.273,11.69,224,0.875,bicubic,-56.253,-47.373,+7
regnety_004,32.333,67.667,49.453,50.547,4.34,224,0.875,bicubic,-58.447,-48.627,-13
tf_mixnet_s,32.183,67.817,48.493,51.507,4.13,224,0.875,bicubic,-59.497,-49.747,-39
tf_mobilenetv3_large_075,31.867,68.133,49.110,50.890,3.99,224,0.875,bilinear,-58.453,-48.760,-9
tf_mobilenetv3_large_minimal_100,31.597,68.403,49.337,50.663,3.92,224,0.875,bilinear,-57.583,-47.983,+2
vgg16_bn,30.357,69.643,47.260,52.740,138.37,224,0.875,bilinear,-60.183,-50.730,-13
regnety_002,29.687,70.313,46.787,53.213,3.16,224,0.875,bicubic,-58.513,-50.643,+3
vgg13_bn,28.883,71.117,46.737,53.263,133.05,224,0.875,bilinear,-60.317,-50.793,-2
regnetx_002,28.860,71.140,45.420,54.580,2.68,224,0.875,bicubic,-58.520,-51.570,+4
vgg19,28.580,71.420,45.170,54.830,143.67,224,0.875,bilinear,-61.100,-52.380,-9
dla60x_c,28.447,71.553,46.193,53.807,1.32,224,0.875,bilinear,-58.663,-50.947,+4
vgg11_bn,28.423,71.577,46.453,53.547,132.87,224,0.875,bilinear,-59.967,-50.817,-3
vgg16,27.877,72.123,44.673,55.327,138.36,224,0.875,bilinear,-61.483,-52.847,-9
tf_mobilenetv3_small_100,27.297,72.703,44.420,55.580,2.54,224,0.875,bilinear,-58.663,-51.980,+2
vgg11,26.533,73.467,43.460,56.540,132.86,224,0.875,bilinear,-60.807,-53.650,-1
vgg13,26.267,73.733,43.370,56.630,133.05,224,0.875,bilinear,-61.303,-53.750,-4
dla46x_c,26.217,73.783,43.780,56.220,1.07,224,0.875,bilinear,-59.263,-52.660,0
tf_mobilenetv3_small_075,26.200,73.800,43.637,56.363,2.04,224,0.875,bilinear,-58.330,-52.253,+1
dla46_c,25.490,74.510,43.800,56.200,1.30,224,0.875,bilinear,-59.170,-52.400,-1
tf_mobilenetv3_small_minimal_100,25.087,74.913,42.930,57.070,2.04,224,0.875,bilinear,-57.583,-52.070,0

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation top1_diff top5_diff rank_diff
2 ig_resnext101_32x48d 79.737 79.650 20.263 20.350 89.450 89.393 10.550 10.607 828.41 224 0.875 bilinear -17.243 -17.320 -10.210 -10.277 +4 +7
3 ig_resnext101_32x32d 79.447 79.457 20.553 20.543 89.283 89.183 10.717 10.817 468.53 224 0.875 bilinear -17.403 -17.323 -10.237 -10.347 +7 +11
4 ig_resnext101_32x16d 78.963 78.837 21.037 21.163 88.437 88.480 11.563 11.520 194.03 224 0.875 bilinear -17.417 -17.603 -11.123 -11.060 +19 +23
5 tf_efficientnet_l2_ns_475 76.537 76.480 23.463 23.520 88.630 88.653 11.370 11.347 480.31 475 0.936 bicubic -21.223 -21.270 -11.190 -11.167 -2
6 swsl_resnext101_32x16d 76.253 76.303 23.747 23.697 87.780 87.733 12.220 12.267 194.03 224 0.875 bilinear -20.037 -19.967 -11.760 -11.767 +24 +29
7 ig_resnext101_32x8d 75.897 75.813 24.103 24.187 86.193 86.200 13.807 13.800 88.79 224 0.875 bilinear -19.983 -20.117 -13.157 -13.180 +35 +41
8 swsl_resnext101_32x8d 75.463 75.590 24.537 24.410 86.840 86.937 13.160 13.063 88.79 224 0.875 bilinear -20.807 -20.650 -12.750 -12.653 +24 +28
9 tf_efficientnet_l2_ns 74.603 74.650 25.397 25.350 87.543 12.457 480.31 800 0.960 bicubic -23.157 -23.130 -12.337 -12.347 -7
10 swsl_resnext101_32x4d 72.683 72.660 27.317 27.340 85.157 14.843 44.18 224 0.875 bilinear -23.347 -23.390 -14.383 -14.373 +30 +35
11 swsl_resnext50_32x4d 69.027 68.977 30.973 31.023 82.837 82.810 17.163 17.190 25.03 224 0.875 bilinear -26.603 -26.643 -16.613 -16.630 +36 +45
12 swsl_resnet50 68.220 68.297 31.780 31.703 83.330 83.313 16.670 16.687 25.56 224 0.875 bilinear -27.070 -26.903 -15.980 -16.077 +47 +62
13 tf_efficientnet_b7_ns 67.513 67.510 32.487 32.490 81.347 81.383 18.653 18.617 66.35 600 0.949 bicubic -29.687 -29.690 -18.353 -18.317 -9
14 tf_efficientnet_b6_ns swin_large_patch4_window12_384 65.577 66.283 34.423 33.717 79.537 79.783 20.463 20.217 43.04 196.74 528 384 0.942 1.000 bicubic -31.433 -30.887 -20.173 -19.897 -9
15 tf_efficientnet_b5_ns tf_efficientnet_b6_ns 63.050 65.587 36.950 34.413 77.837 79.553 22.163 20.447 30.39 43.04 456 528 0.934 0.942 bicubic -33.830 -31.433 -21.803 -20.157 -7 -8
16 tf_efficientnet_b4_ns swin_large_patch4_window7_224 61.277 63.870 38.723 36.130 76.220 78.180 23.780 21.820 19.34 196.53 380 224 0.922 0.900 bicubic -35.403 -33.080 -23.460 -21.480 -2 -6
17 tf_efficientnet_b8_ap swin_base_patch4_window12_384 57.840 63.470 42.160 36.530 72.950 78.063 27.050 21.937 87.41 87.90 672 384 0.954 1.000 bicubic -38.720 -33.650 -26.590 -21.717 0 -11
18 tf_efficientnet_b3_ns tf_efficientnet_b5_ns 57.417 63.047 42.583 36.953 72.407 77.777 27.593 22.223 12.23 30.39 300 456 0.904 0.934 bicubic -38.623 -33.823 -27.053 -21.863 +21 -6
19 vit_large_patch16_384 tf_efficientnet_b4_ns 54.773 61.230 45.227 38.770 70.040 76.173 29.960 23.827 304.72 19.34 384 380 1.000 0.922 bicubic -41.607 -35.480 -29.600 -23.467 +5 -3
20 vit_base_resnet50_384 swin_base_patch4_window7_224 54.390 59.537 45.610 40.463 69.590 74.247 30.410 25.753 98.95 87.77 384 224 1.000 0.900 bicubic -42.070 -37.143 -29.970 -25.413 0 -2
21 resnetv2_152x4_bitm tf_efficientnet_b8_ap 54.227 57.830 45.773 42.170 70.150 72.957 29.850 27.043 936.53 87.41 480 672 1.000 0.954 bilinear bicubic -42.633 -38.720 -29.510 -26.583 -12 0
22 dm_nfnet_f6 tf_efficientnet_b3_ns 54.077 57.417 45.923 42.583 69.017 72.387 30.983 27.613 438.36 12.23 576 300 0.956 0.904 bicubic -42.893 -38.683 -30.723 -27.093 -15 +19
23 tf_efficientnet_b5_ap vit_large_patch16_384 53.897 54.750 46.103 45.250 69.160 70.007 30.840 29.993 30.39 304.72 456 384 0.934 1.000 bicubic -42.183 -41.610 -30.380 -29.623 +15 +8
24 dm_nfnet_f5 vit_base_r50_s16_384 53.723 54.400 46.277 45.600 68.493 69.560 31.507 30.440 377.21 98.95 544 384 0.954 1.000 bicubic -42.997 -42.050 -31.187 -30.100 -12 +2
25 tf_efficientnet_b6_ap resnetv2_152x4_bitm 53.577 54.263 46.423 45.737 68.533 70.137 31.467 29.863 43.04 936.53 528 480 0.942 1.000 bicubic bilinear -42.793 -42.617 -31.017 -29.523 0 -14
26 tf_efficientnet_b2_ns dm_nfnet_f6 53.573 54.073 46.427 45.927 70.277 69.110 29.723 30.890 9.11 438.36 260 576 0.890 0.956 bicubic -41.887 -42.917 -29.113 -30.630 +29 -18
27 tf_efficientnet_b8 tf_efficientnet_b5_ap 53.413 53.870 46.587 46.130 69.087 69.160 30.913 30.840 87.41 30.39 672 456 0.954 0.934 bicubic -43.287 -42.210 -30.433 -30.380 -14 +15
28 tf_efficientnet_b7_ap dm_nfnet_f5 53.267 53.773 46.733 46.227 68.873 68.500 31.127 31.500 66.35 377.21 600 544 0.949 0.954 bicubic -43.083 -42.937 -30.717 -31.180 -1 -13
29 dm_nfnet_f3 tf_efficientnet_b2_ns 53.240 53.600 46.760 46.400 68.100 70.270 31.900 29.730 254.92 9.11 416 260 0.940 0.890 bicubic -43.420 -41.920 -31.540 -29.070 -14 +30
30 tf_efficientnet_b4_ap tf_efficientnet_b6_ap 53.060 53.560 46.940 46.440 68.157 68.550 31.843 31.450 19.34 43.04 380 528 0.922 0.942 bicubic -42.460 -42.810 -31.183 -31.000 +22 -1
31 tf_efficientnet_b7 tf_efficientnet_b8 52.417 53.410 47.583 46.590 68.210 69.090 31.790 30.910 66.35 87.41 600 672 0.949 0.954 bicubic -44.163 -43.290 -31.310 -30.440 -15 -14
32 swsl_resnet18 tf_efficientnet_b7_ap 52.407 53.260 47.593 46.740 70.577 68.873 29.423 31.127 11.69 66.35 224 600 0.875 0.949 bilinear bicubic -38.723 -43.090 -27.653 -30.717 +246 0
33 dm_nfnet_f4 dm_nfnet_f3 52.290 53.190 47.710 46.810 67.093 68.083 32.907 31.917 316.07 254.92 512 416 0.951 0.940 bicubic -44.510 -43.440 -32.547 -31.557 -22 -14
34 vit_deit_base_distilled_patch16_384 tf_efficientnet_b4_ap 52.277 53.090 47.723 46.910 67.727 68.210 32.273 31.790 87.63 19.34 384 380 1.000 0.922 bicubic -44.213 -42.400 -31.863 -31.180 -15 +28
35 ecaresnet269d tf_efficientnet_b7 51.687 52.393 48.313 47.607 66.043 68.233 33.957 31.767 102.09 66.35 352 600 1.000 0.949 bicubic -44.733 -44.187 -33.597 -31.277 -13 -15
36 resnetv2_152x2_bitm swsl_resnet18 51.063 52.327 48.937 47.673 68.557 70.480 31.443 29.520 236.34 11.69 480 224 1.000 0.875 bilinear -45.447 -38.763 -31.063 -27.730 -18 +271
37 vit_large_patch16_224 dm_nfnet_f4 50.967 52.260 49.033 47.740 66.170 67.120 33.830 32.880 304.33 316.07 224 512 0.900 0.951 bicubic -44.313 -44.560 -33.140 -32.480 +25 -24
38 tf_efficientnet_b1_ns vit_deit_base_distilled_patch16_384 50.917 52.257 49.083 47.743 67.963 67.733 32.037 32.267 7.79 87.63 240 384 0.882 1.000 bicubic -43.933 -44.253 -31.277 -31.857 +39 -16
39 vit_base_patch16_384 ecaresnet269d 50.907 51.670 49.093 48.330 65.270 66.047 34.730 33.953 86.86 102.09 384 352 1.000 bicubic -45.283 -44.790 -34.280 -33.563 -6 -14
40 ssl_resnext101_32x16d pit_b_distilled_224 50.327 51.153 49.673 48.847 65.977 66.770 34.023 33.230 194.03 74.79 224 0.875 0.900 bilinear bicubic -45.143 -44.917 -33.433 -32.710 +14 +4
41 resnest269e resnetv2_152x2_bitm 50.323 51.040 49.677 48.960 64.713 68.527 35.287 31.473 110.93 236.34 416 480 0.928 1.000 bicubic bilinear -45.817 -45.460 -34.827 -31.093 -7 -17
42 tf_efficientnet_b3_ap tf_efficientnet_b1_ns 50.050 50.883 49.950 49.117 65.210 67.910 34.790 32.090 12.23 7.79 300 240 0.904 0.882 bicubic -44.840 -43.977 -33.920 -31.340 +33 +47
43 vit_deit_base_distilled_patch16_224 vit_base_patch16_384 50.047 50.883 49.953 49.117 66.233 65.270 33.767 34.730 87.34 86.86 224 384 0.900 1.000 bicubic -45.683 -45.307 -33.057 -34.260 +2 -6
44 resnetv2_101x3_bitm vit_large_patch16_224 49.827 50.877 50.173 49.123 66.987 66.227 33.013 33.773 387.93 304.33 480 224 1.000 0.900 bilinear bicubic -46.523 -44.413 -32.613 -33.083 -18 +26
45 resnest200e ssl_resnext101_32x16d 49.777 50.257 50.223 49.743 64.693 66.033 35.307 33.967 70.20 194.03 320 224 0.909 0.875 bicubic bilinear -46.303 -45.153 -34.757 -33.267 -8 +21
46 tf_efficientnet_b5 resnest269e 49.493 50.153 50.507 49.847 65.667 64.670 34.333 35.330 30.39 110.93 456 416 0.934 0.928 bicubic -46.477 -45.967 -33.793 -34.850 -5 -7
47 resnet200d vit_deit_base_distilled_patch16_224 49.487 50.063 50.513 49.937 64.347 66.227 35.653 33.773 64.69 87.34 320 224 1.000 0.900 bicubic -46.643 -45.687 -35.093 -33.053 -12 +5
48 resnest101e tf_efficientnet_b3_ap 49.290 50.057 50.710 49.943 65.487 65.210 34.513 34.790 48.28 12.23 256 300 0.875 0.904 bilinear bicubic -46.270 -44.913 -33.793 -33.900 +2 +36
49 ssl_resnext101_32x8d resnest200e 49.223 49.873 50.777 50.127 65.437 64.743 34.563 35.257 88.79 70.20 224 320 0.875 0.909 bilinear bicubic -46.067 -46.197 -33.793 -34.637 +12 -6
50 seresnet152d resnetv2_101x3_bitm 49.213 49.823 50.787 50.177 64.167 66.917 35.833 33.083 66.84 387.93 320 480 1.000 bicubic bilinear -47.067 -46.537 -35.343 -32.683 -19 -20
51 resnet152d tf_efficientnet_b5 49.193 49.510 50.807 50.490 64.413 65.657 35.587 34.343 60.21 30.39 320 456 1.000 0.934 bicubic -46.677 -46.470 -35.007 -33.793 -8 -5
52 repvgg_b3 resnet200d 48.993 49.470 51.007 50.530 64.860 64.330 35.140 35.670 123.09 64.69 224 320 0.875 1.000 bilinear bicubic -45.637 -46.640 -34.130 -35.130 +35 -12
53 dm_nfnet_f2 efficientnet_v2s 48.650 49.367 51.350 50.633 63.580 64.203 36.420 35.797 193.78 23.94 352 224 0.920 1.000 bicubic -47.810 -45.623 -36.090 -34.877 -32 +29
54 efficientnet_b3a resnest101e 48.520 49.367 51.480 50.633 64.237 65.587 35.763 34.413 12.23 48.28 320 256 1.000 0.875 bicubic bilinear -46.650 -46.203 -34.983 -33.683 +12 +4
55 ecaresnet101d resnet152d 48.507 49.253 51.493 50.747 64.200 64.413 35.800 35.587 44.57 60.21 224 320 0.875 1.000 bicubic -46.703 -46.617 -35.040 -35.017 +10 -5
56 repvgg_b3g4 seresnet152d 48.277 49.247 51.723 50.753 64.747 64.170 35.253 35.830 83.83 66.84 224 320 0.875 1.000 bilinear bicubic -46.293 -47.063 -34.253 -35.340 +33 -23
57 vit_large_patch32_384 ssl_resnext101_32x8d 48.183 49.067 51.817 50.933 61.797 65.480 38.203 34.520 306.63 88.79 384 224 1.000 0.875 bicubic bilinear -47.057 -46.273 -37.513 -33.840 +7 +12
58 efficientnet_b3 repvgg_b3 48.147 48.917 51.853 51.083 64.093 64.887 35.907 35.113 12.23 123.09 300 224 0.904 0.875 bicubic bilinear -46.743 -45.633 -35.097 -34.023 +16 +52
59 repvgg_b2g4 dm_nfnet_f2 47.783 48.623 52.217 51.377 64.430 63.537 35.570 36.463 61.76 193.78 224 352 0.875 0.920 bilinear bicubic -46.107 -47.877 -34.540 -36.033 +90 -36
60 resnest50d_4s2x40d efficientnet_b3a 47.470 48.563 52.530 51.437 63.897 64.250 36.103 35.750 30.42 12.23 224 320 0.875 1.000 bicubic -47.250 -46.577 -35.233 -34.960 +21 +18
61 efficientnet_b3_pruned ecaresnet101d 47.423 48.527 52.577 51.473 62.810 64.100 37.190 35.900 9.86 44.57 300 224 0.904 0.875 bicubic -47.127 -46.633 -36.250 -35.130 +30 +14
62 tf_efficientnet_b6 repvgg_b3g4 47.220 48.310 52.780 51.690 63.103 64.800 36.897 35.200 43.04 83.83 528 224 0.942 0.875 bicubic bilinear -49.100 -46.180 -36.427 -34.220 -33 +51
63 vit_base_patch16_224 vit_large_patch32_384 47.220 48.250 52.780 51.750 61.647 61.830 38.353 38.170 86.57 306.63 224 384 0.900 1.000 bicubic -48.070 -46.990 -37.703 -37.490 -3 +9
64 ssl_resnext101_32x4d efficientnet_b3 47.197 48.170 52.803 51.830 63.290 64.133 36.710 35.867 44.18 12.23 224 300 0.875 0.904 bilinear bicubic -47.953 -46.800 -36.030 -35.097 +3 +19
65 tf_efficientnet_b4 repvgg_b2g4 47.043 47.787 52.957 52.213 62.823 64.390 37.177 35.610 19.34 61.76 380 224 0.922 0.875 bicubic bilinear -48.537 -46.033 -36.467 -34.540 -16 +103
66 resnet101d eca_nfnet_l1 46.960 47.663 53.040 52.337 62.340 62.767 37.660 37.233 44.57 41.41 320 1.000 bicubic -48.780 -48.267 -37.080 -36.733 -22 -19
67 resnetv2_50x3_bitm pit_s_distilled_224 46.763 47.543 53.237 52.457 64.883 63.493 35.117 36.507 217.32 24.04 480 224 1.000 0.900 bilinear bicubic -49.367 -47.187 -34.737 -35.697 -31 +26
68 regnety_032 resnest50d_4s2x40d 46.663 47.483 53.337 52.517 62.357 63.807 37.643 36.193 19.44 30.42 224 0.875 bicubic -48.467 -47.227 -36.863 -35.323 0 +28
69 dm_nfnet_f1 efficientnet_b3_pruned 46.660 47.447 53.340 52.553 61.560 62.793 38.440 37.207 132.63 9.86 320 300 0.910 0.904 bicubic -49.680 -47.133 -37.900 -36.277 -41 +38
70 gluon_seresnext101_64x4d vit_base_patch16_224 46.617 47.340 53.383 52.660 61.373 61.607 38.627 38.393 88.23 86.57 224 0.875 0.900 bicubic -47.883 -47.870 -37.597 -37.623 +22 +3
71 tresnet_xl tf_efficientnet_b6 46.280 47.213 53.720 52.787 62.017 63.110 37.983 36.890 78.44 43.04 224 528 0.875 0.942 bilinear bicubic -48.710 -49.077 -37.203 -36.410 -1 -37
72 vit_deit_small_distilled_patch16_224 ssl_resnext101_32x4d 46.153 47.177 53.847 52.823 62.463 63.367 37.537 36.633 22.44 44.18 224 0.900 0.875 bicubic bilinear -48.417 -47.983 -36.637 -35.933 +18 +4
73 resnest50d_1s4x24d tf_efficientnet_b4 46.127 47.083 53.873 52.917 62.353 62.867 37.647 37.133 25.68 19.34 224 380 0.875 0.922 bicubic -48.213 -48.507 -36.707 -36.463 +34 -16
74 gernet_m resnet101d 46.023 46.893 53.977 53.107 62.747 62.317 37.253 37.683 21.14 44.57 224 320 0.875 1.000 bilinear bicubic -48.457 -48.857 -36.163 -37.123 +22 -23
75 tf_efficientnet_b0_ns resnetv2_50x3_bitm 45.993 46.827 54.007 53.173 63.237 64.873 36.763 35.127 5.29 217.32 224 480 0.875 1.000 bicubic bilinear -47.587 -49.313 -35.593 -34.747 +103 -37
76 resnest50d dm_nfnet_f1 45.817 46.693 54.183 53.307 62.650 61.560 37.350 38.440 27.48 132.63 224 320 0.875 0.910 bilinear bicubic -48.673 -49.677 -36.350 -37.910 +19 -48
77 gluon_seresnext101_32x4d gluon_seresnext101_64x4d 45.533 46.677 54.467 53.323 61.103 61.303 38.897 38.697 48.96 88.23 224 0.875 bicubic -48.867 -47.973 -38.007 -37.677 +25
78 ssl_resnext50_32x4d tresnet_xl 45.493 46.283 54.507 53.717 62.010 61.943 37.990 38.057 25.03 78.44 224 0.875 bilinear -49.227 -48.777 -37.180 -37.317 +4 +2
79 dm_nfnet_f0 vit_deit_small_distilled_patch16_224 45.447 46.160 54.553 53.840 61.010 62.417 38.990 37.583 71.49 22.44 256 224 0.900 bicubic -50.203 -48.430 -38.290 -36.683 -33 +27
80 gluon_resnet152_v1d regnety_160 45.337 46.153 54.663 53.847 60.080 61.837 39.920 38.163 60.21 83.59 224 288 0.875 1.000 bicubic -49.133 -49.727 -38.910 -37.723 +17 -31
81 nasnetalarge gernet_m 45.247 46.150 54.753 53.850 57.967 62.700 42.033 37.300 88.75 21.14 331 224 0.911 0.875 bicubic bilinear -50.073 -48.400 -41.173 -36.550 -23 +30
82 tresnet_xl_448 resnest50d_1s4x24d 45.223 46.083 54.777 53.917 61.403 62.377 38.597 37.623 78.44 25.68 448 224 0.875 bilinear bicubic -50.297 -48.307 -38.017 -36.693 -31 +36
83 tf_efficientnet_b3 tf_efficientnet_b0_ns 45.113 46.047 54.887 53.953 60.613 63.253 39.387 36.747 12.23 5.29 300 224 0.904 0.875 bicubic -49.787 -47.693 -38.527 -35.727 -10 +96
84 rexnet_200 resnest50d 45.093 45.937 54.907 54.063 62.343 62.623 37.657 37.377 16.37 27.48 224 0.875 bicubic bilinear -49.507 -48.683 -36.717 -36.407 +4 +19
85 ecaresnetlight regnety_032 44.920 45.893 55.080 54.107 60.753 61.537 39.247 38.463 30.16 19.44 224 288 0.875 1.000 bicubic -49.200 -49.577 -38.187 -37.783 +36 -21
86 vit_deit_base_patch16_224 gluon_seresnext101_32x4d 44.917 45.590 55.083 54.410 59.200 61.143 40.800 38.857 86.57 48.96 224 0.900 0.875 bicubic -50.053 -48.860 -39.800 -37.947 -15 +29
87 vit_deit_base_patch16_384 gluon_resnet152_v1d 44.763 45.430 55.237 54.570 59.567 60.077 40.433 39.923 86.86 60.21 384 224 1.000 0.875 bicubic -50.857 -49.010 -39.673 -38.933 -39 +29
88 gernet_l dm_nfnet_f0 44.723 45.420 55.277 54.580 59.047 60.990 40.953 39.010 31.08 71.49 256 0.875 0.900 bilinear bicubic -50.217 -50.210 -40.133 -38.310 -16 -33
89 vit_base_patch32_384 ssl_resnext50_32x4d 44.690 45.407 55.310 54.593 58.527 62.047 41.473 37.953 88.30 25.03 384 224 1.000 0.875 bicubic bilinear -50.580 -49.293 -40.663 -37.193 -26 +8
90 tf_efficientnet_b2_ap nfnet_l0 44.683 45.390 55.317 54.610 60.673 62.057 39.327 37.943 9.11 35.07 260 288 0.890 1.000 bicubic -49.677 -50.000 -38.297 -37.363 +14 -23
91 ens_adv_inception_resnet_v2 tresnet_xl_448 44.360 45.223 55.640 54.777 58.077 61.437 41.923 38.563 55.84 78.44 299 448 0.897 0.875 bicubic bilinear -49.710 -50.287 -40.713 -37.903 +37 -30
92 tresnet_l nasnetalarge 44.353 45.210 55.647 54.790 59.907 57.883 40.093 42.117 55.99 88.75 224 331 0.875 0.911 bilinear bicubic -50.477 -49.940 -39.153 -41.247 -14 -15
93 wide_resnet50_2 swin_small_patch4_window7_224 44.287 45.163 55.713 54.837 59.620 60.330 40.380 39.670 68.88 49.61 224 0.875 0.900 bicubic -50.403 -50.557 -39.470 -38.960 -10 -40
94 gluon_resnext101_32x4d tf_efficientnet_b3 44.180 45.107 55.820 54.893 59.077 60.650 40.923 39.350 44.18 12.23 224 300 0.875 0.904 bicubic -50.010 -49.803 -39.843 -38.460 +23 -8
95 cspresnext50 rexnet_200 44.147 45.047 55.853 54.953 60.513 62.317 39.487 37.683 20.57 16.37 224 0.875 bilinear bicubic -49.673 -49.613 -38.327 -36.833 +60 +6
96 seresnext50_32x4d ecaresnetlight 44.133 44.890 55.867 55.110 59.403 60.770 40.597 39.230 27.56 30.16 224 0.875 bicubic -50.637 -49.250 -39.717 -38.180 -17 +41
97 gluon_resnet152_v1s vit_deit_base_patch16_224 44.103 44.870 55.897 55.130 58.697 59.177 41.303 40.823 60.32 86.57 224 0.875 0.900 bicubic -50.547 -50.140 -40.373 -39.803 -12 -16
98 pnasnet5large vit_deit_base_patch16_384 44.043 44.777 55.957 55.223 56.733 59.617 43.267 40.383 86.06 86.86 331 384 0.911 1.000 bicubic -51.327 -50.873 -42.387 -39.623 -41 -44
99 ssl_resnet50 gernet_l 44.020 44.740 55.980 55.260 61.947 58.943 38.053 41.057 25.56 31.08 224 256 0.875 bilinear -50.230 -50.190 -37.133 -40.257 +14 -14
100 inception_resnet_v2 tf_efficientnet_b2_ap 43.910 44.700 56.090 55.300 57.870 60.680 42.130 39.320 55.84 9.11 299 260 0.897 0.890 bicubic -50.350 -49.570 -40.960 -38.270 +11 +28
101 ecaresnet50d vit_base_patch32_384 43.830 44.693 56.170 55.307 60.340 58.530 39.660 41.470 25.58 88.30 224 384 0.875 1.000 bicubic -50.310 -50.567 -38.600 -40.650 +19 -30
102 ecaresnet101d_pruned ens_adv_inception_resnet_v2 43.810 44.393 56.190 55.607 59.653 58.117 40.347 41.883 24.88 55.84 224 299 0.875 0.897 bicubic -50.650 -49.737 -39.477 -40.673 -4 +37
103 gluon_resnext101_64x4d tresnet_l 43.790 44.363 56.210 55.637 58.703 59.953 41.297 40.047 83.46 55.99 224 0.875 bicubic bilinear -50.560 -50.537 -40.127 -39.077 +2 -16
104 rexnet_150 gluon_resnext101_32x4d 43.453 44.290 56.547 55.710 60.953 59.090 39.047 40.910 9.73 44.18 224 0.875 bicubic -50.827 -49.830 -38.067 -39.840 +5 +38
105 ecaresnet50t wide_resnet50_2 43.440 44.177 56.560 55.823 59.350 59.727 40.650 40.273 25.57 68.88 320 224 0.950 0.875 bicubic -51.640 -50.493 -39.920 -39.323 -36 -6
106 gluon_resnet101_v1d cspresnext50 43.440 44.147 56.560 55.853 58.540 60.533 41.460 39.467 44.57 20.57 224 0.875 bicubic bilinear -50.680 -49.613 -40.380 -38.167 +16 +70
107 cspdarknet53 seresnext50_32x4d 43.343 44.127 56.657 55.873 59.413 59.490 40.587 40.510 27.64 27.56 256 224 0.887 0.875 bilinear bicubic -50.747 -50.693 -39.557 -39.640 +20 -17
108 gluon_resnet101_v1s gluon_resnet152_v1s 43.260 44.073 56.740 55.927 58.507 58.703 41.493 41.297 44.67 60.32 224 0.875 bicubic -51.030 -50.647 -40.533 -40.357 0 -14
109 dpn68b pit_b_224 43.190 44.070 56.810 55.930 58.633 58.017 41.367 41.983 12.61 73.76 224 0.875 0.900 bicubic -50.420 -50.720 -40.137 -40.803 +64 -18
110 resnetv2_101x1_bitm ssl_resnet50 43.103 44.010 56.897 55.990 60.920 61.887 39.080 38.113 44.54 25.56 480 224 1.000 0.875 bilinear -52.407 -50.300 -38.600 -37.263 -57 +15
111 resnest26d inception_resnet_v2 43.097 44.003 56.903 55.997 60.630 57.907 39.370 42.093 17.07 55.84 224 299 0.875 0.897 bilinear bicubic -50.053 -50.337 -38.270 -40.893 +93 +13
112 dpn131 pnasnet5large 43.033 43.950 56.967 56.050 57.493 56.730 42.507 43.270 79.25 86.06 224 331 0.875 0.911 bicubic -50.737 -51.410 -41.307 -42.400 +47 -44
113 cspresnet50 pit_s_224 43.023 43.890 56.977 56.110 59.107 58.627 40.893 41.373 21.62 23.46 256 224 0.887 0.900 bilinear bicubic -50.817 -50.700 -39.793 -40.303 +39 -8
114 gluon_resnet152_v1c gluon_resnext101_64x4d 42.937 43.877 57.063 56.123 57.803 58.710 42.197 41.290 60.21 83.46 224 0.875 bicubic -50.963 -50.473 -41.047 -40.170 +31 +8
115 tf_efficientnet_lite4 tnt_s_patch16_224 42.900 43.773 57.100 56.227 57.630 59.197 42.370 40.803 13.01 23.76 380 224 0.920 0.900 bilinear bicubic -51.980 -50.807 -41.480 -39.983 -39 -7
116 gluon_resnet152_v1b ecaresnet50d 42.890 43.750 57.110 56.250 57.580 60.387 42.420 39.613 60.19 25.58 224 0.875 bicubic -51.110 -50.440 -41.190 -38.633 +18 +17
117 dpn107 ecaresnet101d_pruned 42.877 43.737 57.123 56.263 57.410 59.607 42.590 40.393 86.92 24.88 224 0.875 bicubic -51.113 -50.713 -41.460 -39.493 +18 -3
118 gluon_xception65 rexnet_150 42.837 43.690 57.163 56.310 58.820 60.897 41.180 39.103 39.92 9.73 299 224 0.903 0.875 bicubic -51.173 -50.580 -40.190 -38.183 +14 +9
119 tf_efficientnet_b1_ap pit_xs_distilled_224 42.803 43.663 57.197 56.337 58.840 60.703 41.160 39.297 7.79 11.00 240 224 0.882 0.900 bicubic -50.877 -49.577 -39.970 -38.117 +48 +97
120 tresnet_l_448 gluon_resnet101_v1d 42.780 43.440 57.220 56.560 58.940 58.613 41.060 41.387 55.99 44.57 448 224 0.875 bilinear bicubic -52.640 -50.730 -40.360 -40.327 -64 +14
121 resnet50d ecaresnet50t 42.717 43.407 57.283 56.593 58.683 59.300 41.317 40.700 25.58 25.57 224 320 0.875 0.950 bicubic -51.393 -51.663 -40.277 -39.990 +4 -42
122 gluon_seresnext50_32x4d gluon_resnet101_v1s 42.680 43.363 57.320 56.637 58.620 58.503 41.380 41.497 27.56 44.67 224 0.875 bicubic -51.360 -50.807 -40.450 -40.507 +7 +13
123 tresnet_m cspdarknet53 42.663 43.357 57.337 56.643 58.023 59.430 41.977 40.570 31.39 27.64 224 256 0.875 0.887 bilinear -51.357 -50.733 -40.797 -39.580 +8 +21
124 resnext101_32x8d dpn68b 42.597 43.287 57.403 56.713 58.153 58.673 41.847 41.327 88.79 12.61 224 0.875 bilinear bicubic -51.223 -50.333 -40.797 -40.027 +32 +67
125 seresnet50 eca_nfnet_l0 42.477 43.230 57.523 56.770 58.730 59.913 41.270 40.087 28.09 24.14 224 288 0.875 1.000 bicubic -51.623 -52.240 -40.250 -39.467 +1 -62
126 nf_resnet50 resnest26d 42.387 43.140 57.613 56.860 59.490 60.623 40.510 39.377 25.56 17.07 288 224 0.940 0.875 bicubic bilinear -52.033 -50.100 -39.610 -38.127 -26 +92
127 dpn98 resnetv2_101x1_bitm 42.313 43.113 57.687 56.887 56.830 60.950 43.170 39.050 61.57 44.54 224 480 0.875 1.000 bicubic bilinear -51.587 -52.397 -42.100 -38.560 +17 -67
128 tf_efficientnet_cc_b1_8e dpn131 42.220 43.047 57.780 56.953 58.433 57.440 41.567 42.560 39.72 79.25 240 224 0.882 0.875 bicubic -51.340 -50.713 -40.247 -41.420 +54 +49
129 vit_deit_small_patch16_224 cspresnet50 42.200 43.030 57.800 56.970 57.930 59.153 42.070 40.847 22.05 21.62 224 256 0.900 0.887 bicubic bilinear -51.690 -50.830 -40.990 -39.717 +19 +34
130 legacy_senet154 tf_efficientnet_lite4 42.163 42.967 57.837 57.033 56.650 57.620 43.350 42.380 115.09 13.01 224 380 0.875 0.920 bilinear -52.597 -51.903 -42.450 -41.470 -50 -42
131 resnet50 gluon_resnet152_v1b 42.117 42.903 57.883 57.097 55.910 57.750 44.090 42.250 25.56 60.19 224 0.875 bicubic -51.383 -51.127 -42.670 -40.990 +57 +17
132 gluon_resnext50_32x4d dpn107 42.113 42.857 57.887 57.143 57.653 57.367 42.347 42.633 25.03 86.92 224 0.875 bicubic -51.587 -51.103 -41.047 -41.473 +34 +22
133 tf_efficientnet_b2 tf_efficientnet_b1_ap 42.090 42.803 57.910 57.197 58.133 58.813 41.867 41.187 9.11 7.79 260 240 0.890 0.882 bicubic -52.100 -50.827 -40.897 -39.987 -15 +57
134 efficientnet_b2a gluon_resnet152_v1c 41.963 42.800 58.037 57.200 58.293 57.737 41.707 42.263 9.11 60.21 288 224 1.000 0.875 bicubic -52.437 -51.080 -40.757 -41.063 -33 +27
135 ecaresnet50d_pruned gluon_xception65 41.937 42.793 58.063 57.207 58.330 58.820 41.670 41.180 19.94 39.92 224 299 0.875 0.903 bicubic -51.903 -51.217 -40.650 -40.200 +18 +15
136 gluon_senet154 tresnet_l_448 41.683 42.753 58.317 57.247 56.383 58.947 43.617 41.053 115.09 55.99 224 448 0.875 bicubic bilinear -52.967 -52.657 -42.607 -40.463 -50 -71
137 dla102x2 resnet50d 41.607 42.707 58.393 57.293 57.960 58.697 42.040 41.303 41.28 25.58 224 0.875 bilinear bicubic -52.433 -51.363 -40.940 -40.223 -7 +9
138 efficientnet_b2 tresnet_m 41.590 42.687 58.410 57.313 58.087 58.153 41.913 41.847 9.11 31.39 260 224 0.875 bicubic bilinear -52.750 -51.383 -41.033 -40.677 -32 +9
139 inception_v4 gluon_seresnext50_32x4d 41.560 42.683 58.440 57.317 55.400 58.710 44.600 41.290 42.68 27.56 299 224 0.875 bicubic -52.830 -51.487 -43.430 -40.200 -36 -3
140 hrnet_w64 resnext101_32x8d 41.547 42.557 58.453 57.443 57.107 58.317 42.893 41.683 128.06 88.79 224 0.875 bilinear -52.403 -51.213 -41.853 -40.633 -2 +33
141 tf_efficientnet_cc_b0_8e seresnet50 41.493 42.510 58.507 57.490 57.223 58.667 42.777 41.333 24.01 28.09 224 0.875 bicubic -51.357 -51.570 -41.257 -40.303 +81 +4
142 efficientnet_em nf_resnet50 41.477 42.400 58.523 57.600 58.883 59.540 41.117 40.460 6.90 25.56 240 288 0.882 0.940 bicubic -52.253 -52.010 -40.057 -39.560 +20 -25
143 resnext50_32x4d dpn98 41.403 42.280 58.597 57.720 57.007 56.880 42.993 43.120 25.03 61.57 224 0.875 bicubic -52.447 -51.660 -41.783 -42.040 +8 +13
144 xception71 vit_deit_small_patch16_224 41.303 42.263 58.697 57.737 55.930 58.020 44.070 41.980 42.34 22.05 299 224 0.903 0.900 bicubic -52.587 -51.737 -42.860 -41.010 +3 +8
145 adv_inception_v3 tf_efficientnet_cc_b1_8e 41.263 42.233 58.737 57.767 56.327 58.420 43.673 41.580 23.83 39.72 299 240 0.875 0.882 bicubic -51.697 -51.337 -42.173 -40.270 +72 +53
146 tv_resnet152 legacy_senet154 41.263 42.207 58.737 57.793 57.510 56.597 42.490 43.403 60.19 115.09 224 0.875 bilinear -51.957 -52.523 -41.280 -42.503 +52 -54
147 gernet_s tf_efficientnet_b2 41.210 42.120 58.790 57.880 58.700 58.197 41.300 41.803 8.17 9.11 224 260 0.875 0.890 bilinear bicubic -51.270 -52.090 -39.760 -40.853 +93 -17
148 dpn92 gluon_resnext50_32x4d 41.207 42.043 58.793 57.957 56.397 57.667 43.603 42.333 37.67 25.03 224 0.875 bicubic -53.033 -51.607 -42.553 -41.023 -34 +39
149 resnetblur50 resnet50 41.073 42.013 58.927 57.987 56.980 56.000 43.020 44.000 25.56 224 0.875 bicubic -52.657 -51.447 -41.830 -42.600 +14 +56
150 nf_regnet_b1 ecaresnet50d_pruned 40.993 41.953 59.007 58.047 58.110 58.217 41.890 41.783 10.22 19.94 288 224 0.900 0.875 bicubic -52.897 -51.867 -40.840 -40.783 0 +17
151 gluon_inception_v3 efficientnet_b2a 40.957 41.933 59.043 58.067 55.663 58.300 44.337 41.700 23.83 9.11 299 288 0.875 1.000 bicubic -52.623 -52.437 -43.347 -40.750 +28 -31
152 gluon_resnet50_v1d dla102x2 40.930 41.647 59.070 58.353 57.180 57.967 42.820 42.033 25.58 41.28 224 0.875 bicubic bilinear -52.600 -52.353 -41.650 -40.993 +33 +1
153 resnet34d hrnet_w64 40.910 41.637 59.090 58.363 56.503 57.130 43.497 42.870 21.82 128.06 224 0.875 bicubic bilinear -51.700 -52.193 -41.927 -41.800 +82 +13
154 ese_vovnet39b efficientnet_b2 40.863 41.627 59.137 58.373 56.943 58.033 43.057 41.967 24.57 9.11 224 260 0.875 bicubic -53.077 -52.713 -41.987 -41.067 -15 -31
155 regnety_320 gluon_senet154 40.773 41.627 59.227 58.373 56.200 56.373 43.800 43.627 145.05 115.09 224 0.875 bicubic -53.727 -53.083 -42.950 -42.597 -62 -60
156 skresnext50_32x4d inception_v4 40.707 41.577 59.293 58.423 56.023 55.383 43.977 44.617 27.48 42.68 224 299 0.875 bicubic -53.193 -52.803 -42.777 -43.437 -10 -37
157 xception efficientnet_el 40.687 41.497 59.313 58.503 56.333 58.303 43.667 41.697 22.86 10.59 299 300 0.897 0.904 bicubic -52.993 -53.173 -42.487 -40.827 +11 -59
158 gluon_resnet101_v1b efficientnet_em 40.647 41.493 59.353 58.507 56.217 58.877 43.783 41.123 44.55 6.90 224 240 0.875 0.882 bicubic -53.103 -52.247 -42.583 -40.053 +3 +20
159 repvgg_b1 tf_efficientnet_cc_b0_8e 40.637 41.487 59.363 58.513 57.880 57.377 42.120 42.623 57.42 24.01 224 0.875 bilinear bicubic -52.803 -51.383 -40.860 -41.083 +32 +83
160 hrnet_w40 swin_tiny_patch4_window7_224 40.620 41.457 59.380 58.543 56.637 57.303 43.363 42.697 57.56 28.29 224 0.875 0.900 bilinear bicubic -52.900 -53.163 -42.173 -41.817 +26 -56
161 tf_efficientnet_lite3 resnext50_32x4d 40.607 41.443 59.393 58.557 56.537 56.997 43.463 43.003 8.20 25.03 300 224 0.904 0.875 bilinear bicubic -53.533 -52.397 -42.493 -41.833 -42 +4
162 tresnet_m_448 tv_resnet152 40.517 41.327 59.483 58.673 56.667 57.520 43.333 42.480 31.39 60.19 448 224 0.875 bilinear -54.153 -51.913 -42.473 -41.330 -78 +55
163 repvgg_b2 xception71 40.470 41.270 59.530 58.730 57.810 55.873 42.190 44.127 89.02 42.34 224 299 0.875 0.903 bilinear bicubic -53.120 -52.620 -41.280 -43.077 +12 -3
164 dla169 dpn92 40.447 41.267 59.553 58.733 57.207 56.333 42.793 43.667 53.39 37.67 224 0.875 bilinear bicubic -53.223 -52.923 -41.683 -42.597 +5 -32
165 regnetx_320 adv_inception_v3 40.440 41.263 59.560 58.737 55.640 56.317 44.360 43.683 107.81 23.83 224 299 0.875 bicubic -53.790 -51.747 -43.420 -42.173 -49 +63
166 legacy_seresnext101_32x4d gernet_s 40.413 41.247 59.587 58.753 54.847 58.830 45.153 41.170 48.96 8.17 224 0.875 bilinear -53.697 -51.193 -44.103 -39.670 -43 +98
167 tf_efficientnet_b0_ap resnetblur50 40.333 41.053 59.667 58.947 56.850 57.077 43.150 42.923 5.29 25.56 224 0.875 bicubic -52.237 -52.657 -41.560 -41.733 +70 +15
168 skresnet34 nf_regnet_b1 40.297 41.010 59.703 58.990 56.840 58.117 43.160 41.883 22.28 10.22 224 288 0.875 0.900 bicubic -52.043 -52.880 -41.680 -40.633 +75 -10
169 efficientnet_b2_pruned gluon_resnet50_v1d 40.297 40.970 59.703 59.030 56.500 57.137 43.500 42.863 8.31 25.58 260 224 0.890 0.875 bicubic -53.623 -52.560 -42.410 -41.573 -26 +32
170 wide_resnet101_2 gluon_inception_v3 40.257 40.907 59.743 59.093 55.690 55.617 44.310 44.383 126.89 23.83 224 299 0.875 bilinear bicubic -53.583 -52.633 -43.110 -43.213 -16 +29
171 regnetx_160 ese_vovnet39b 40.247 40.867 59.753 59.133 56.033 56.950 43.967 43.050 54.28 24.57 224 0.875 bicubic -53.763 -52.983 -43.087 -41.950 -38 -7
172 xception65 regnety_320 40.243 40.813 59.757 59.187 55.243 56.117 44.757 43.883 39.92 145.05 299 224 0.903 0.875 bicubic -53.567 -53.707 -43.607 -43.053 -15 -60
173 hrnet_w48 resnet34d 40.207 40.810 59.793 59.190 56.510 56.530 43.490 43.470 77.47 21.82 224 0.875 bilinear bicubic -53.723 -51.830 -42.510 -41.890 -33 +79
174 densenet201 xception 40.200 40.763 59.800 59.237 56.693 56.387 43.307 43.613 20.01 22.86 224 299 0.875 0.897 bicubic -52.460 -52.877 -41.987 -42.383 +58 +14
175 vit_small_patch16_224 skresnext50_32x4d 40.150 40.700 59.850 59.300 56.563 56.023 43.437 43.977 48.75 27.48 224 0.900 0.875 bicubic -52.470 -53.250 -41.837 -42.797 +59 -20
176 hrnet_w30 gluon_resnet101_v1b 40.147 40.683 59.853 59.317 57.083 56.117 42.917 43.883 37.71 44.55 224 0.875 bilinear bicubic -53.223 -53.077 -41.797 -42.723 +17 -2
177 resnext50d_32x4d hrnet_w40 40.120 40.660 59.880 59.340 55.503 56.753 44.497 43.247 25.05 57.56 224 0.875 bicubic bilinear -53.870 -53.050 -43.287 -42.047 -41 +4
178 gluon_resnet101_v1c repvgg_b1 40.043 40.593 59.957 59.407 55.203 57.837 44.797 42.163 44.57 57.42 224 0.875 bicubic bilinear -53.707 -52.817 -43.517 -40.953 -18 +31
179 tf_efficientnet_b1 tf_efficientnet_lite3 39.973 40.563 60.027 59.437 56.087 56.477 43.913 43.523 7.79 8.20 240 300 0.882 0.904 bicubic bilinear -53.737 -53.567 -42.713 -42.483 -14 -38
180 regnetx_080 tresnet_m_448 39.963 40.530 60.037 59.470 55.920 56.700 44.080 43.300 39.57 31.39 224 448 0.875 bicubic bilinear -53.947 -54.130 -42.990 -42.390 -37 -80
181 legacy_seresnet152 pit_xs_224 39.940 40.497 60.060 59.503 55.787 56.530 44.213 43.470 66.82 10.62 224 0.875 0.900 bilinear bicubic -53.390 -52.413 -42.973 -42.160 +14 +54
182 res2net101_26w_4s dla169 39.757 40.493 60.243 59.507 54.563 57.263 45.437 42.737 45.21 53.39 224 0.875 bilinear -53.833 -53.307 -44.137 -41.577 -5 -12
183 hrnet_w44 repvgg_b2 39.723 40.467 60.277 59.533 55.357 57.780 44.643 42.220 67.06 89.02 224 0.875 bilinear -53.937 -53.123 -43.573 -40.970 -13 +13
184 densenet161 regnetx_320 39.697 40.443 60.303 59.557 56.183 55.660 43.817 44.340 28.68 107.81 224 0.875 bicubic -53.293 -53.767 -42.597 -43.370 +28 -53
185 mixnet_xl skresnet34 39.650 40.397 60.350 59.603 55.873 56.737 44.127 43.263 11.90 22.28 224 0.875 bicubic -54.600 -52.173 -42.967 -41.783 -73 +74
186 res2net50_26w_8s efficientnet_el_pruned 39.610 40.390 60.390 59.610 54.533 56.903 45.467 43.097 48.40 10.59 224 300 0.875 0.904 bilinear bicubic -53.980 -53.700 -44.177 -42.077 -10 -43
187 xception41 efficientnet_b2_pruned 39.583 40.383 60.417 59.617 54.993 56.537 45.007 43.463 26.97 8.31 299 260 0.903 0.890 bicubic -53.927 -53.417 -43.757 -42.373 0 -16
188 regnetx_120 legacy_seresnext101_32x4d 39.580 40.360 60.420 59.640 55.680 54.817 44.320 45.183 46.11 48.96 224 0.875 bicubic bilinear -54.660 -53.770 -43.510 -44.153 -73 -48
189 dla102x wide_resnet101_2 39.513 40.360 60.487 59.640 56.313 55.780 43.687 44.220 26.31 126.89 224 0.875 bilinear -54.017 -53.370 -42.547 -43.030 -5 -9
190 hrnet_w32 tf_efficientnet_b0_ap 39.503 40.337 60.497 59.663 56.057 56.787 43.943 43.213 41.23 5.29 224 0.875 bilinear bicubic -53.497 -52.273 -42.803 -41.583 +21 +64
191 rexnet_130 xception65 39.397 40.273 60.603 59.727 56.647 55.283 43.353 44.717 7.56 39.92 224 299 0.875 0.903 bicubic -54.223 -53.487 -42.073 -43.517 -19 -16
192 regnety_120 regnetx_160 39.357 40.270 60.643 59.730 55.270 56.050 44.730 43.950 51.82 54.28 224 0.875 bicubic -54.603 -53.610 -43.790 -43.040 -55 -30
193 regnety_064 densenet201 39.317 40.267 60.683 59.733 55.823 56.710 44.177 43.290 30.58 20.01 224 0.875 bicubic -54.793 -52.423 -43.197 -41.940 -69 +55
194 tv_resnet101 resnext50d_32x4d 39.297 40.170 60.703 59.830 55.773 55.487 44.227 44.513 44.55 25.05 224 0.875 bilinear bicubic -53.643 -53.640 -42.867 -43.253 +25 -25
195 densenetblur121d vit_small_patch16_224 39.290 40.130 60.710 59.870 56.577 56.543 43.423 43.457 8.00 48.75 224 0.875 0.900 bicubic -53.020 -52.470 -41.813 -41.847 +51 +61
196 tf_efficientnet_el hrnet_w48 39.287 40.093 60.713 59.907 55.347 56.640 44.653 43.360 10.59 77.47 300 224 0.904 0.875 bicubic bilinear -55.163 -53.937 -43.753 -42.400 -97 -47
197 gluon_resnet50_v1s legacy_seresnet152 39.283 40.043 60.717 59.957 55.003 55.820 44.997 44.180 25.68 66.82 224 0.875 bicubic bilinear -54.277 -53.397 -43.817 -43.030 -17 +10
198 regnety_160 hrnet_w30 39.270 40.030 60.730 59.970 55.450 57.093 44.550 42.907 83.59 37.71 224 0.875 bicubic bilinear -55.010 -53.340 -43.620 -41.737 -88 +13
199 tf_inception_v3 regnetx_080 39.247 40.000 60.753 60.000 54.237 55.977 45.763 44.023 23.83 39.57 299 224 0.875 bicubic -53.953 -53.790 -44.273 -42.933 +1 -27
200 densenet169 tf_efficientnet_b1 39.120 39.977 60.880 60.023 55.850 56.137 44.150 43.863 14.15 7.79 224 240 0.875 0.882 bicubic -53.080 -53.733 -42.720 -42.663 +50 -17
201 efficientnet_b1_pruned gluon_resnet101_v1c 39.027 39.953 60.973 60.047 55.623 55.300 44.377 44.700 6.33 44.57 240 224 0.882 0.875 bicubic -53.973 -53.737 -42.897 -43.460 +9 -17
202 legacy_seresnet101 res2net101_26w_4s 39.017 39.717 60.983 60.283 55.027 54.550 44.973 45.450 49.33 45.21 224 0.875 bilinear -54.233 -53.803 -43.733 -44.050 -5 0
203 repvgg_b1g4 regnetx_120 38.997 39.687 61.003 60.313 56.370 55.633 43.630 44.367 39.97 46.11 224 0.875 bilinear bicubic -53.943 -54.583 -42.430 -43.557 +15 -77
204 dpn68 hrnet_w44 38.983 39.677 61.017 60.323 54.897 55.333 45.103 44.667 12.61 67.06 224 0.875 bicubic bilinear -53.307 -53.943 -43.683 -43.627 +43 -12
205 inception_v3 densenet161 38.973 39.620 61.027 60.380 53.840 56.133 46.160 43.867 23.83 28.68 299 224 0.875 bicubic -53.997 -53.280 -44.490 -42.677 +11 +33
206 regnety_080 mixnet_xl 38.947 39.617 61.053 60.383 55.203 55.887 44.797 44.113 39.18 11.90 224 0.875 bicubic -54.853 -54.613 -43.797 -42.933 -49 -77
207 legacy_seresnext50_32x4d xception41 38.947 39.610 61.053 60.390 54.637 55.037 45.363 44.963 27.56 26.97 224 299 0.875 0.903 bilinear bicubic -54.613 -53.870 -44.113 -43.713 -25 -3
208 regnety_040 res2net50_26w_8s 38.857 39.603 61.143 60.397 55.627 54.550 44.373 45.450 20.65 48.40 224 0.875 bicubic bilinear -54.743 -53.847 -43.363 -44.150 -34 -2
209 regnetx_032 dla102x 38.777 39.553 61.223 60.447 55.257 56.323 44.743 43.677 15.30 26.31 224 0.875 bicubic bilinear -54.573 -53.977 -43.403 -42.527 -15 -9
210 regnetx_040 rexnet_130 38.743 39.487 61.257 60.513 55.340 56.640 44.660 43.360 22.12 7.56 224 0.875 bicubic -54.967 -54.183 -43.540 -42.070 -46 -24
211 densenet121 hrnet_w32 38.730 39.463 61.270 60.537 56.310 56.123 43.690 43.877 7.98 41.23 224 0.875 bicubic bilinear -53.220 -53.487 -41.870 -42.717 +45 +23
212 res2net50_14w_8s regnety_064 38.713 39.403 61.287 60.597 54.023 55.773 45.977 44.227 25.06 30.58 224 0.875 bilinear bicubic -54.267 -54.737 -44.597 -43.257 +2 -74
213 res2net50_26w_6s densenetblur121d 38.697 39.380 61.303 60.620 53.787 56.640 46.213 43.360 37.05 8.00 224 0.875 bilinear bicubic -54.853 -53.020 -45.013 -41.770 -30 +53
214 dla102 regnety_120 38.677 39.347 61.323 60.653 55.250 55.277 44.750 44.723 33.27 51.82 224 0.875 bilinear bicubic -54.593 -54.663 -43.550 -43.753 -18 -63
215 dla60x tv_resnet101 38.663 39.307 61.337 60.693 55.463 55.803 44.537 44.197 17.35 44.55 224 0.875 bilinear -54.417 -53.573 -43.247 -42.857 -9 +26
216 tf_efficientnet_b0 tf_efficientnet_el 38.653 39.303 61.347 60.697 55.967 55.387 44.033 44.613 5.29 10.59 224 300 0.875 0.904 bicubic -53.707 -55.057 -42.503 -43.713 +27 -95
217 dla60_res2net tf_inception_v3 38.623 39.237 61.377 60.763 54.710 54.300 45.290 45.700 20.85 23.83 224 299 0.875 bilinear bicubic -54.817 -53.963 -44.160 -44.180 -27 +2
218 selecsls60b gluon_resnet50_v1s 38.617 39.233 61.383 60.767 55.373 55.010 44.627 44.990 32.77 25.68 224 0.875 bicubic -54.833 -54.357 -43.477 -44.060 -29 -23
219 selecsls60 densenet169 38.607 39.167 61.393 60.833 55.567 55.843 44.433 44.157 30.67 14.15 224 0.875 bicubic -54.373 -53.133 -43.183 -42.747 -4 +51
220 repvgg_a2 legacy_seresnet101 38.567 39.037 61.433 60.963 55.827 55.003 44.173 44.997 28.21 49.33 224 0.875 bilinear -54.133 -54.223 -42.773 -43.737 +10 -7
221 regnetx_064 efficientnet_b1_pruned 38.563 39.010 61.437 60.990 54.940 55.647 45.060 44.353 26.21 6.33 224 240 0.875 0.882 bicubic -55.077 -53.970 -44.100 -42.883 -50 +10
222 tf_efficientnet_cc_b0_4e repvgg_b1g4 38.487 38.990 61.513 61.010 55.157 56.350 44.843 43.650 13.31 39.97 224 0.875 bicubic bilinear -54.253 -54.040 -43.393 -42.350 +4 +5
223 dla60_res2next inception_v3 38.453 38.960 61.547 61.040 54.860 53.853 45.140 46.147 17.03 23.83 224 299 0.875 bilinear bicubic -54.917 -53.940 -43.960 -44.477 -31 +16
224 gluon_resnet50_v1b dpn68 38.410 38.933 61.590 61.067 54.833 54.933 45.167 45.067 25.56 12.61 224 0.875 bicubic -54.320 -53.307 -43.727 -43.677 +4 +48
225 resnetv2_50x1_bitm regnety_080 38.330 38.917 61.670 61.083 56.980 55.213 43.020 44.787 25.55 39.18 480 224 1.000 0.875 bilinear bicubic -56.170 -54.973 -42.280 -43.787 -131 -66
226 hrnet_w18 legacy_seresnext50_32x4d 38.267 38.877 61.733 61.123 55.633 54.593 44.367 45.407 21.30 27.56 224 0.875 bilinear -54.593 -54.553 -43.057 -44.207 -5 -18
227 mixnet_l dla102 38.123 38.833 61.877 61.167 54.793 55.323 45.207 44.677 7.33 33.27 224 0.875 bicubic bilinear -55.027 -54.427 -43.887 -43.457 -24 -15
228 efficientnet_es regnety_040 37.850 38.820 62.150 61.180 54.893 55.557 45.107 44.443 5.44 20.65 224 0.875 bicubic -55.160 -54.800 -43.847 -43.393 -20 -35
229 efficientnet_b1 densenet121 37.800 38.783 62.200 61.217 53.637 56.273 46.363 43.727 7.79 7.98 240 224 0.875 bicubic -55.300 -53.157 -44.953 -42.127 -24 +51
230 res2net50_26w_4s res2net50_14w_8s 37.780 38.710 62.220 61.290 53.120 54.077 46.880 45.923 25.70 25.06 224 0.875 bilinear -55.430 -54.320 -45.510 -44.743 -31 -4
231 resnest14d regnetx_040 37.763 38.703 62.237 61.297 56.503 55.340 43.497 44.660 10.61 22.12 224 0.875 bilinear bicubic -53.407 -54.977 -41.797 -43.600 +45 -46
232 gluon_resnet50_v1c res2net50_26w_6s 37.717 38.687 62.283 61.313 54.100 53.743 45.900 46.257 25.58 37.05 224 0.875 bicubic bilinear -55.273 -54.903 -44.540 -45.097 -19 -38
233 ecaresnet26t regnetx_032 37.663 38.680 62.337 61.320 54.447 55.157 45.553 44.843 16.01 15.30 320 224 0.950 0.875 bicubic -56.257 -54.570 -44.493 -43.573 -92 -18
234 tv_resnext50_32x4d selecsls60 37.623 38.623 62.377 61.377 54.100 55.630 45.900 44.370 25.03 30.67 224 0.875 bilinear bicubic -55.317 -54.387 -44.620 -43.200 -14 -5
235 res2next50 dla60x 37.523 38.617 62.477 61.383 52.810 55.383 47.190 44.617 24.67 17.35 224 0.875 bilinear -55.657 -54.573 -45.860 -43.327 -34 -15
236 resnet34 tf_efficientnet_b0 37.410 38.600 62.590 61.400 54.327 55.957 45.673 44.043 21.80 5.29 224 0.875 bilinear bicubic -53.920 -53.800 -43.833 -42.513 +34 +31
237 res2net50_48w_2s dla60_res2net 37.247 38.590 62.753 61.410 53.293 54.560 46.707 45.440 25.29 20.85 224 0.875 bilinear -55.423 -54.790 -45.167 -44.300 -6 -27
238 regnety_016 selecsls60b 37.157 38.573 62.843 61.427 54.107 55.307 45.893 44.693 11.20 32.77 224 0.875 bicubic -55.913 -54.927 -44.633 -43.533 -31 -35
239 rexnet_100 repvgg_a2 37.063 38.563 62.937 61.437 54.073 55.770 45.927 44.230 4.80 28.21 224 0.875 bicubic bilinear -55.697 -54.117 -44.557 -42.750 -14 +10
240 tf_mixnet_l hardcorenas_f 37.040 38.500 62.960 61.500 52.543 55.657 47.457 44.343 7.33 8.20 224 0.875 bicubic bilinear -55.970 -54.480 -45.997 -42.963 -31 -8
241 dla60 dla60_res2next 37.027 38.450 62.973 61.550 54.283 54.950 45.717 45.050 22.04 17.03 224 0.875 bilinear -55.683 -55.120 -44.367 -43.850 -12 -44
242 mobilenetv2_120d regnetx_064 36.790 38.430 63.210 61.570 53.987 54.990 46.013 45.010 5.83 26.21 224 0.875 bicubic -55.980 -55.200 -44.493 -44.060 -18 -53
243 legacy_seresnet50 tf_efficientnet_cc_b0_4e 36.787 38.413 63.213 61.587 53.363 55.150 46.637 44.850 28.09 13.31 224 0.875 bilinear bicubic -56.033 -54.427 -45.287 -43.290 -20 +1
244 tv_densenet121 gluon_resnet50_v1b 36.763 38.407 63.237 61.593 54.057 54.833 45.943 45.167 7.98 25.56 224 0.875 bicubic -54.667 -54.153 -44.223 -43.717 +22 +16
245 tf_efficientnet_lite1 resnetv2_50x1_bitm 36.750 38.287 63.250 61.713 53.487 56.967 46.513 43.033 5.42 25.55 240 480 0.882 1.000 bicubic bilinear -55.580 -56.263 -45.023 -41.963 0 -136
246 regnetx_016 hrnet_w18 36.707 38.277 63.293 61.723 53.350 55.643 46.650 44.357 9.19 21.30 224 0.875 bicubic bilinear -55.913 -54.483 -45.180 -43.017 -13 +1
247 tf_efficientnet_lite2 mixnet_l 36.700 38.160 63.300 61.840 53.277 54.757 46.723 45.243 6.09 7.33 260 224 0.890 0.875 bicubic -55.890 -55.100 -45.293 -43.943 -11 -33
248 efficientnet_b0 hardcorenas_e 36.487 38.137 63.513 61.863 53.487 55.173 46.513 44.827 5.29 8.07 224 0.875 bicubic bilinear -56.063 -54.813 -45.153 -43.397 -10 -15
249 tf_efficientnet_em hardcorenas_c 36.343 37.883 63.657 62.117 52.767 55.717 47.233 44.283 6.90 5.52 240 224 0.882 0.875 bicubic bilinear -56.817 -54.447 -45.903 -42.623 -47 +19
250 skresnet18 efficientnet_b1 36.210 37.843 63.790 62.157 54.160 53.640 45.840 46.360 11.96 7.79 224 240 0.875 bicubic -53.970 -55.217 -43.700 -44.900 +40 -26
251 repvgg_b0 gluon_resnet50_v1c 36.197 37.843 63.803 62.157 53.873 54.123 46.127 45.877 15.82 25.58 224 0.875 bilinear bicubic -55.403 -55.067 -44.577 -44.587 +10 -15
252 legacy_seresnet34 res2net50_26w_4s 36.193 37.827 63.807 62.173 52.517 53.073 47.483 46.927 21.96 25.70 224 0.875 bilinear -55.337 -55.353 -45.803 -45.597 +12 -31
253 tv_resnet50 efficientnet_es 36.110 37.770 63.890 62.230 52.737 54.967 47.263 45.033 25.56 5.44 224 0.875 bilinear bicubic -56.070 -55.140 -45.683 -43.813 -2 -16
254 vit_deit_tiny_distilled_patch16_224 resnest14d 36.027 37.767 63.973 62.233 54.237 56.470 45.763 43.530 5.91 10.61 224 0.900 0.875 bicubic bilinear -55.093 -53.363 -44.073 -41.860 +26 +50
255 tv_resnet34 tv_resnext50_32x4d 36.023 37.750 63.977 62.250 53.493 54.113 46.507 45.887 21.80 25.03 224 0.875 bilinear -54.367 -55.150 -44.437 -44.607 +33 -15
256 mobilenetv2_140 ecaresnet26t 35.997 37.650 64.003 62.350 53.997 54.350 46.003 45.650 6.11 16.01 224 320 0.875 0.950 bicubic -56.113 -56.290 -44.253 -44.570 -4 -99
257 tf_efficientnet_lite0 hardcorenas_d 35.993 37.550 64.007 62.450 53.410 54.723 46.590 45.277 4.65 7.50 224 0.875 bicubic bilinear -55.287 -55.050 -44.650 -43.707 +15 -2
258 selecsls42b res2next50 35.790 37.477 64.210 62.523 52.427 52.853 47.573 47.147 32.46 24.67 224 0.875 bicubic bilinear -56.680 -55.673 -46.083 -45.807 -17 -35
259 gluon_resnet34_v1b resnet34 35.730 37.443 64.270 62.557 52.170 54.297 47.830 45.703 21.80 224 0.875 bicubic bilinear -55.290 -53.757 -45.970 -43.753 +23 +41
260 efficientnet_lite0 pit_ti_distilled_224 35.643 37.337 64.357 62.663 53.657 55.137 46.343 44.863 4.65 5.10 224 0.875 0.900 bicubic -55.577 -53.563 -44.533 -43.083 +14 +49
261 ssl_resnet18 hardcorenas_b 35.637 37.243 64.363 62.757 53.873 55.073 46.127 44.927 11.69 5.18 224 0.875 bilinear -55.203 -54.697 -44.147 -43.207 +23 +18
262 mobilenetv3_rw res2net50_48w_2s 35.580 37.117 64.420 62.883 53.667 53.333 46.333 46.667 5.48 25.29 224 0.875 bicubic bilinear -55.970 -55.673 -44.673 -45.137 +1 -16
263 mixnet_m dla60 35.570 37.073 64.430 62.927 52.423 54.200 47.577 45.800 5.01 22.04 224 0.875 bicubic bilinear -56.640 -55.597 -45.937 -44.430 -14 -13
264 dla34 rexnet_100 35.567 37.063 64.433 62.937 52.770 54.020 47.230 45.980 15.74 4.80 224 0.875 bilinear bicubic -55.663 -55.787 -45.370 -44.600 +9 -21
265 mobilenetv2_110d regnety_016 35.337 37.017 64.663 62.983 52.850 54.093 47.150 45.907 4.52 11.20 224 0.875 bicubic -55.763 -55.983 -45.290 -44.587 +16 -35
266 tf_mixnet_m tf_mixnet_l 35.163 36.987 64.837 63.013 51.053 52.583 48.947 47.417 5.01 7.33 224 0.875 bicubic -57.107 -56.053 -47.437 -45.957 -19 -41
267 hrnet_w18_small_v2 legacy_seresnet50 35.163 36.873 64.837 63.127 52.423 53.487 47.577 46.513 15.60 28.09 224 0.875 bilinear -56.127 -55.797 -45.977 -45.163 +5 -16
268 resnet18d tv_densenet121 34.993 36.810 65.007 63.190 52.877 54.033 47.123 45.967 11.71 7.98 224 0.875 bicubic -54.867 -54.590 -45.023 -44.217 +24 +26
269 ese_vovnet19b_dw tf_efficientnet_lite2 34.870 36.807 65.130 63.193 52.063 53.320 47.937 46.680 6.54 6.09 224 260 0.875 0.890 bicubic -57.220 -55.783 -46.447 -45.230 -15 -12
270 regnety_008 mobilenetv2_120d 34.700 36.780 65.300 63.220 51.767 54.047 48.233 45.953 6.26 5.83 224 0.875 bicubic -57.110 -55.830 -46.643 -44.463 -13 -17
271 seresnext26d_32x4d tf_efficientnet_lite1 34.590 36.737 65.410 63.263 51.547 53.590 48.453 46.410 16.81 5.42 224 240 0.875 0.882 bicubic -57.850 -55.573 -47.003 -44.900 -29 -2
272 mobilenetv3_large_100 regnetx_016 34.573 36.683 65.427 63.317 52.797 53.297 47.203 46.703 5.48 9.19 224 0.875 bicubic -56.917 -55.857 -45.513 -45.253 -7 -11
273 seresnext26t_32x4d hardcorenas_a 34.493 36.640 65.507 63.360 51.317 54.910 48.683 45.090 16.81 5.26 224 0.875 bicubic bilinear -58.247 -54.980 -47.203 -43.260 -46 +14
274 resnet26d efficientnet_b0 34.313 36.600 65.687 63.400 51.677 53.497 48.323 46.503 16.01 5.29 224 0.875 bicubic -57.787 -55.880 -46.783 -45.183 -21 -12
275 tf_efficientnet_es tf_efficientnet_em 34.247 36.380 65.753 63.620 51.357 52.840 48.643 47.160 5.44 6.90 224 240 0.875 0.882 bicubic -57.833 -56.790 -47.103 -45.830 -20 -53
276 regnety_006 skresnet18 34.243 36.320 65.757 63.680 51.323 54.197 48.677 45.803 6.06 11.96 224 0.875 bicubic -57.327 -53.840 -47.067 -43.583 -14 +42
277 fbnetc_100 repvgg_b0 34.220 36.287 65.780 63.713 51.183 54.057 48.817 45.943 5.57 15.82 224 0.875 bilinear -56.920 -55.393 -46.687 -44.393 0 +7
278 tf_mobilenetv3_large_100 tv_resnet50 33.993 36.177 66.007 63.823 51.397 52.803 48.603 47.197 5.48 25.56 224 0.875 bilinear -57.417 -55.963 -46.893 -45.617 -11 -3
279 regnetx_008 legacy_seresnet34 33.750 36.143 66.250 63.857 50.490 52.553 49.510 47.447 7.26 21.96 224 0.875 bicubic bilinear -57.590 -55.337 -47.860 -45.767 -10 +12
280 mnasnet_100 tv_resnet34 33.677 36.087 66.323 63.913 51.113 53.533 48.887 46.467 4.38 21.80 224 0.875 bicubic bilinear -57.533 -54.203 -46.917 -44.447 -5 +37
281 semnasnet_100 vit_deit_tiny_distilled_patch16_224 33.567 36.023 66.433 63.977 50.670 54.240 49.330 45.760 3.89 5.91 224 0.875 0.900 bicubic -58.053 -55.077 -47.640 -44.030 -21 +25
282 spnasnet_100 mobilenetv2_140 33.517 36.000 66.483 64.000 51.297 53.943 48.703 46.057 4.42 6.11 224 0.875 bilinear bicubic -57.123 -56.030 -46.623 -44.307 +4 -5
283 mixnet_s tf_efficientnet_lite0 33.503 35.930 66.497 64.070 51.047 53.480 48.953 46.520 4.13 4.65 224 0.875 bicubic -58.297 -55.370 -47.283 -44.610 -25 +13
284 resnet26 selecsls42b 33.477 35.813 66.523 64.187 50.923 52.487 49.077 47.513 16.00 32.46 224 0.875 bicubic -57.913 -56.667 -47.437 -45.953 -16 -21
285 vgg19_bn gluon_resnet34_v1b 33.187 35.763 66.813 64.237 50.840 52.187 49.160 47.813 143.68 21.80 224 0.875 bilinear bicubic -57.933 -55.337 -47.320 -45.993 -6 +20
286 regnetx_006 dla34 33.173 35.643 66.827 64.357 50.267 52.783 49.733 47.217 6.20 15.74 224 0.875 bicubic bilinear -57.747 -55.597 -47.803 -45.397 -3 +13
287 resnet18 mixnet_m 33.103 35.640 66.897 64.360 51.120 52.430 48.880 47.570 11.69 5.01 224 0.875 bilinear bicubic -54.947 -56.630 -45.990 -45.920 +17 -16
288 legacy_seresnext26_32x4d efficientnet_lite0 32.823 35.620 67.177 64.380 49.200 53.657 50.800 46.343 16.79 4.65 224 0.875 bicubic -59.707 -55.640 -49.250 -44.593 -49 +10
289 vit_deit_tiny_patch16_224 ssl_resnet18 32.757 35.597 67.243 64.403 50.273 53.740 49.727 46.260 5.72 11.69 224 0.900 0.875 bicubic bilinear -56.873 -55.103 -47.657 -44.280 +6 +23
290 hrnet_w18_small mobilenetv3_rw 32.677 35.547 67.323 64.453 50.637 53.713 49.363 46.287 13.19 5.48 224 0.875 bilinear bicubic -56.963 -56.003 -47.203 -44.557 +4 -1
291 legacy_seresnet18 efficientnet_es_pruned 32.660 35.390 67.340 64.610 50.277 52.850 49.723 47.150 11.78 5.44 224 0.875 bicubic -56.630 -56.310 -47.513 -45.570 +7 -8
292 gluon_resnet18_v1b mobilenetv2_110d 32.477 35.293 67.523 64.707 49.817 52.830 50.183 47.170 11.69 4.52 224 0.875 bicubic -56.293 -56.057 -47.263 -45.360 +9 +3
293 mobilenetv2_100 tf_mixnet_m 32.473 35.180 67.527 64.820 50.823 50.987 49.177 49.013 3.50 5.01 224 0.875 bicubic -57.417 -57.020 -47.027 -47.433 -2 -19
294 regnetx_004 hrnet_w18_small_v2 32.457 35.173 67.543 64.827 49.383 52.440 50.617 47.560 5.16 15.60 224 0.875 bicubic bilinear -57.153 -55.997 -48.397 -45.900 +2 +9
295 regnety_004 resnet18d 32.370 35.127 67.630 64.873 49.390 52.890 50.610 47.110 4.34 11.71 224 0.875 bicubic -58.380 -54.863 -48.680 -44.940 -10 +24
296 tf_mixnet_s ese_vovnet19b_dw 32.143 34.840 67.857 65.160 48.447 52.030 51.553 47.970 4.13 6.54 224 0.875 bicubic -59.517 -57.170 -49.713 -46.480 -37 -18
297 tf_mobilenetv3_large_075 regnety_008 31.803 34.807 68.197 65.193 49.040 51.743 50.960 48.257 3.99 6.26 224 0.875 bilinear bicubic -58.557 -57.093 -48.800 -46.677 -8 -16
298 tf_mobilenetv3_large_minimal_100 pit_ti_224 31.653 34.670 68.347 65.330 49.397 52.170 50.603 47.830 3.92 4.85 224 0.875 0.900 bilinear bicubic -57.637 -55.750 -47.983 -45.840 +1 +17
299 vgg16_bn mobilenetv3_large_100 30.383 34.603 69.617 65.397 47.363 52.860 52.637 47.140 138.37 5.48 224 0.875 bilinear bicubic -60.237 -56.877 -50.687 -45.340 -12 -9
300 regnety_002 seresnext26d_32x4d 29.733 34.543 70.267 65.457 46.833 51.543 53.167 48.457 3.16 16.81 224 0.875 bicubic -58.447 -57.897 -50.597 -46.997 +3 -35
301 vgg13_bn seresnext26t_32x4d 28.860 34.540 71.140 65.460 46.617 51.377 53.383 48.623 133.05 16.81 224 0.875 bilinear bicubic -60.340 -58.280 -51.023 -47.183 -1 -56
302 regnetx_002 resnet26d 28.843 34.273 71.157 65.727 45.480 51.687 54.520 48.313 2.68 16.01 224 0.875 bicubic -58.367 -57.957 -51.420 -46.763 +5 -29
303 vgg19 tf_efficientnet_es 28.490 34.263 71.510 65.737 45.117 51.350 54.883 48.650 143.67 5.44 224 0.875 bilinear bicubic -61.200 -57.837 -52.463 -47.090 -10 -27
304 vgg11_bn fbnetc_100 28.443 34.253 71.557 65.747 46.400 51.180 53.600 48.820 132.87 5.57 224 0.875 bilinear -59.867 -57.017 -50.890 -46.650 -2 -7
305 dla60x_c regnety_006 28.297 34.150 71.703 65.850 46.123 51.277 53.877 48.723 1.32 6.06 224 0.875 bilinear bicubic -58.893 -57.420 -50.967 -47.153 +3 -17
306 vgg16 tf_mobilenetv3_large_100 27.870 33.950 72.130 66.050 44.650 51.490 55.350 48.510 138.36 5.48 224 0.875 bilinear -61.620 -57.470 -52.880 -46.770 -9 -13
307 tf_mobilenetv3_small_100 regnetx_008 27.293 33.770 72.707 66.230 44.540 50.547 55.460 49.453 2.54 7.26 224 0.875 bilinear bicubic -58.577 -57.410 -51.770 -47.833 +2 -5
308 vgg11 mnasnet_100 26.487 33.763 73.513 66.237 43.400 51.170 56.600 48.830 132.86 4.38 224 0.875 bilinear bicubic -60.883 -57.437 -53.610 -47.070 -2 -7
309 vgg13 semnasnet_100 26.307 33.520 73.693 66.480 43.460 50.787 56.540 49.213 133.05 3.89 224 0.875 bilinear bicubic -61.253 -58.140 -53.700 -47.483 -4 -23
310 tf_mobilenetv3_small_075 resnet26 26.217 33.500 73.783 66.500 43.683 50.927 56.317 49.073 2.04 16.00 224 0.875 bilinear bicubic -58.553 -57.940 -52.197 -47.353 +1 -18
311 dla46x_c mixnet_s 26.193 33.480 73.807 66.520 43.830 50.997 56.170 49.003 1.07 4.13 224 0.875 bilinear bicubic -59.497 -58.300 -52.630 -47.303 -1 -29
312 dla46_c spnasnet_100 25.437 33.477 74.563 66.523 43.840 51.267 56.160 48.733 1.30 4.42 224 0.875 bilinear -59.253 -57.133 -52.380 -46.683 0 +1
313 tf_mobilenetv3_small_minimal_100 vgg19_bn 25.123 33.230 74.877 66.770 42.900 50.803 57.100 49.197 2.04 143.68 224 0.875 bilinear -57.647 -57.760 -52.180 -47.307 0 -5
314 regnetx_006 33.157 66.843 50.250 49.750 6.20 224 0.875 bicubic -57.603 -47.850 -3
315 resnet18 33.067 66.933 51.170 48.830 11.69 224 0.875 bilinear -55.083 -45.950 +17
316 legacy_seresnext26_32x4d 32.757 67.243 49.237 50.763 16.79 224 0.875 bicubic -59.813 -49.183 -58
317 hrnet_w18_small 32.667 67.333 50.587 49.413 13.19 224 0.875 bilinear -57.213 -47.313 +3
318 vit_deit_tiny_patch16_224 32.667 67.333 50.273 49.727 5.72 224 0.900 bicubic -56.953 -47.687 +5
319 legacy_seresnet18 32.600 67.400 50.340 49.660 11.78 224 0.875 bicubic -56.670 -47.340 +7
320 mobilenetv2_100 32.523 67.477 50.800 49.200 3.50 224 0.875 bicubic -57.307 -47.030 +1
321 regnetx_004 32.517 67.483 49.343 50.657 5.16 224 0.875 bicubic -56.943 -48.427 +3
322 gluon_resnet18_v1b 32.407 67.593 49.727 50.273 11.69 224 0.875 bicubic -56.253 -47.373 +7
323 regnety_004 32.333 67.667 49.453 50.547 4.34 224 0.875 bicubic -58.447 -48.627 -13
324 tf_mixnet_s 32.183 67.817 48.493 51.507 4.13 224 0.875 bicubic -59.497 -49.747 -39
325 tf_mobilenetv3_large_075 31.867 68.133 49.110 50.890 3.99 224 0.875 bilinear -58.453 -48.760 -9
326 tf_mobilenetv3_large_minimal_100 31.597 68.403 49.337 50.663 3.92 224 0.875 bilinear -57.583 -47.983 +2
327 vgg16_bn 30.357 69.643 47.260 52.740 138.37 224 0.875 bilinear -60.183 -50.730 -13
328 regnety_002 29.687 70.313 46.787 53.213 3.16 224 0.875 bicubic -58.513 -50.643 +3
329 vgg13_bn 28.883 71.117 46.737 53.263 133.05 224 0.875 bilinear -60.317 -50.793 -2
330 regnetx_002 28.860 71.140 45.420 54.580 2.68 224 0.875 bicubic -58.520 -51.570 +4
331 vgg19 28.580 71.420 45.170 54.830 143.67 224 0.875 bilinear -61.100 -52.380 -9
332 dla60x_c 28.447 71.553 46.193 53.807 1.32 224 0.875 bilinear -58.663 -50.947 +4
333 vgg11_bn 28.423 71.577 46.453 53.547 132.87 224 0.875 bilinear -59.967 -50.817 -3
334 vgg16 27.877 72.123 44.673 55.327 138.36 224 0.875 bilinear -61.483 -52.847 -9
335 tf_mobilenetv3_small_100 27.297 72.703 44.420 55.580 2.54 224 0.875 bilinear -58.663 -51.980 +2
336 vgg11 26.533 73.467 43.460 56.540 132.86 224 0.875 bilinear -60.807 -53.650 -1
337 vgg13 26.267 73.733 43.370 56.630 133.05 224 0.875 bilinear -61.303 -53.750 -4
338 dla46x_c 26.217 73.783 43.780 56.220 1.07 224 0.875 bilinear -59.263 -52.660 0
339 tf_mobilenetv3_small_075 26.200 73.800 43.637 56.363 2.04 224 0.875 bilinear -58.330 -52.253 +1
340 dla46_c 25.490 74.510 43.800 56.200 1.30 224 0.875 bilinear -59.170 -52.400 -1
341 tf_mobilenetv3_small_minimal_100 25.087 74.913 42.930 57.070 2.04 224 0.875 bilinear -57.583 -52.070 0

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results/results-imagenet-real.csv
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model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation,top1_diff,top5_diff,rank_diff model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation,top1_diff,top5_diff,rank_diff
tf_efficientnet_l2_ns,90.555,9.445,98.770,1.230,480.31,800,0.960,bicubic,+2.219,+0.106,0 tf_efficientnet_l2_ns,90.563,9.437,98.779,1.221,480.31,800,0.960,bicubic,+2.211,+0.129,0
tf_efficientnet_l2_ns_475,90.505,9.495,98.715,1.285,480.31,475,0.936,bicubic,+2.275,+0.169,0 tf_efficientnet_l2_ns_475,90.537,9.463,98.710,1.290,480.31,475,0.936,bicubic,+2.303,+0.164,0
tf_efficientnet_b7_ns,90.102,9.898,98.608,1.392,66.35,600,0.949,bicubic,+3.272,+0.516,0 tf_efficientnet_b7_ns,90.100,9.900,98.614,1.386,66.35,600,0.949,bicubic,+3.260,+0.520,+1
dm_nfnet_f6,89.891,10.110,98.529,1.471,438.36,576,0.956,bicubic,+3.585,+0.787,+1 swin_large_patch4_window12_384,90.027,9.973,98.657,1.343,196.74,384,1.000,bicubic,+2.879,+0.423,-1
tf_efficientnet_b6_ns,89.792,10.208,98.503,1.497,43.04,528,0.942,bicubic,+3.330,+0.625,-1 swin_base_patch4_window12_384,89.995,10.005,98.695,1.304,87.90,384,1.000,bicubic,+3.563,+0.637,+1
tf_efficientnet_b5_ns,89.668,10.332,98.488,1.512,30.39,456,0.934,bicubic,+3.596,+0.740,0 dm_nfnet_f6,89.901,10.099,98.529,1.471,438.36,576,0.956,bicubic,+3.605,+0.785,+2
tf_efficientnet_b8_ap,89.585,10.415,98.320,1.680,87.41,672,0.954,bicubic,+4.201,+1.022,+6 swin_large_patch4_window7_224,89.796,10.204,98.640,1.360,196.53,224,0.900,bicubic,+3.477,+0.744,0
vit_deit_base_distilled_patch16_384,89.431,10.569,98.450,1.550,87.63,384,1.000,bicubic,+4.009,+1.116,+3 tf_efficientnet_b6_ns,89.782,10.218,98.510,1.490,43.04,528,0.942,bicubic,+3.330,+0.628,-3
tf_efficientnet_b7_ap,89.425,10.575,98.343,1.657,66.35,600,0.949,bicubic,+4.301,+1.087,+8 tf_efficientnet_b5_ns,89.651,10.349,98.482,1.518,30.39,456,0.934,bicubic,+3.563,+0.730,0
dm_nfnet_f3,89.387,10.613,98.328,1.672,254.92,416,0.940,bicubic,+3.805,+0.938,-1 tf_efficientnet_b8_ap,89.581,10.419,98.305,1.695,87.41,672,0.954,bicubic,+4.211,+1.011,+6
dm_nfnet_f4,89.359,10.641,98.232,1.768,316.07,512,0.951,bicubic,+3.633,+0.714,-4 tf_efficientnet_b7_ap,89.429,10.571,98.347,1.653,66.35,600,0.949,bicubic,+4.309,+1.096,+9
tf_efficientnet_b8,89.352,10.648,98.307,1.693,87.41,672,0.954,bicubic,+3.968,+0.907,0 vit_deit_base_distilled_patch16_384,89.429,10.571,98.441,1.559,87.63,384,1.000,bicubic,+4.007,+1.109,+2
tf_efficientnet_b6_ap,89.342,10.658,98.283,1.717,43.04,528,0.942,bicubic,+4.552,+1.147,+10 dm_nfnet_f3,89.393,10.607,98.315,1.685,254.92,416,0.940,bicubic,+3.833,+0.909,-1
tf_efficientnet_b4_ns,89.333,10.667,98.350,1.650,19.34,380,0.922,bicubic,+4.139,+0.850,0 tf_efficientnet_b8,89.355,10.645,98.303,1.697,87.41,672,0.954,bicubic,+3.985,+0.913,+1
dm_nfnet_f5,89.188,10.812,98.241,1.759,377.21,544,0.954,bicubic,+3.468,+0.805,-7 tf_efficientnet_b6_ap,89.342,10.658,98.281,1.719,43.04,528,0.942,bicubic,+4.554,+1.143,+12
ig_resnext101_32x48d,89.160,10.840,98.108,1.892,828.41,224,0.875,bilinear,+3.658,+0.560,-6 tf_efficientnet_b4_ns,89.305,10.694,98.347,1.653,19.34,380,0.922,bicubic,+4.143,+0.877,+2
ig_resnext101_32x32d,89.143,10.857,98.187,1.813,468.53,224,0.875,bilinear,+3.997,+0.731,-1 dm_nfnet_f4,89.299,10.701,98.224,1.776,316.07,512,0.951,bicubic,+3.641,+0.714,-6
tf_efficientnet_b7,89.083,10.917,98.185,1.815,66.35,600,0.949,bicubic,+4.147,+0.977,+2 dm_nfnet_f5,89.184,10.816,98.232,1.768,377.21,544,0.954,bicubic,+3.470,+0.790,-8
ecaresnet269d,89.056,10.944,98.241,1.759,102.09,352,1.000,bicubic,+4.130,+1.005,+2 swin_base_patch4_window7_224,89.145,10.855,98.429,1.571,87.77,224,0.900,bicubic,+3.893,+0.867,-2
tf_efficientnet_b5_ap,88.940,11.060,98.160,1.840,30.39,456,0.934,bicubic,+4.680,+1.186,+10 ig_resnext101_32x48d,89.120,10.880,98.130,1.870,828.41,224,0.875,bilinear,+3.692,+0.558,-7
dm_nfnet_f2,88.874,11.126,98.100,1.900,193.78,352,0.920,bicubic,+3.906,+0.976,-2 ig_resnext101_32x32d,89.111,10.889,98.181,1.819,468.53,224,0.875,bilinear,+4.017,+0.743,0
dm_nfnet_f1,88.864,11.136,98.104,1.896,132.63,320,0.910,bicubic,+4.270,+1.024,+2 tf_efficientnet_b7,89.086,10.914,98.183,1.817,66.35,600,0.949,bicubic,+4.150,+0.979,+3
ig_resnext101_32x16d,88.851,11.149,98.064,1.937,194.03,224,0.875,bilinear,+4.683,+0.868,+9 ecaresnet269d,89.069,10.931,98.234,1.766,102.09,352,1.000,bicubic,+4.093,+1.008,0
vit_base_resnet50_384,88.817,11.184,98.234,1.766,98.95,384,1.000,bicubic,+3.823,+0.940,-6 tf_efficientnet_b5_ap,88.938,11.062,98.164,1.836,30.39,456,0.934,bicubic,+4.686,+1.190,+10
swsl_resnext101_32x8d,88.802,11.198,98.125,1.875,88.79,224,0.875,bilinear,+4.470,+0.971,+4 dm_nfnet_f2,88.889,11.111,98.117,1.883,193.78,352,0.920,bicubic,+3.899,+0.973,-3
seresnet152d,88.799,11.200,98.170,1.830,66.84,320,1.000,bicubic,+4.450,+1.128,+2 dm_nfnet_f1,88.853,11.147,98.093,1.907,132.63,320,0.910,bicubic,+4.249,+1.025,+2
tf_efficientnet_b6,88.755,11.245,98.076,1.924,43.04,528,0.942,bicubic,+4.633,+1.186,+6 ig_resnext101_32x16d,88.834,11.166,98.049,1.951,194.03,224,0.875,bilinear,+4.664,+0.853,+9
resnetv2_152x2_bitm,88.678,11.322,98.341,1.659,236.34,480,1.000,bilinear,+4.250,+0.889,-2 vit_base_r50_s16_384,88.808,11.192,98.232,1.768,98.95,384,1.000,bicubic,+3.836,+0.944,-4
resnetv2_152x4_bitm,88.582,11.418,98.192,1.808,936.53,480,1.000,bilinear,+3.666,+0.748,-7 seresnet152d,88.795,11.205,98.172,1.828,66.84,320,1.000,bicubic,+4.433,+1.132,+3
resnet200d,88.573,11.427,97.976,2.024,64.69,320,1.000,bicubic,+4.573,+1.152,+5 swsl_resnext101_32x8d,88.770,11.230,98.147,1.853,88.79,224,0.875,bilinear,+4.486,+0.971,+3
resnest269e,88.528,11.472,98.021,1.979,110.93,416,0.928,bicubic,+4.010,+1.019,-6 tf_efficientnet_b6,88.761,11.239,98.064,1.937,43.04,528,0.942,bicubic,+4.651,+1.178,+7
resnetv2_101x3_bitm,88.479,11.521,98.149,1.851,387.93,480,1.000,bilinear,+4.087,+0.791,-5 resnetv2_152x2_bitm,88.699,11.301,98.337,1.663,236.34,480,1.000,bilinear,+4.259,+0.891,-2
tf_efficientnet_b3_ns,88.439,11.561,98.066,1.934,12.23,300,0.904,bicubic,+4.427,+1.156,+1 regnety_160,88.697,11.303,98.068,1.932,83.59,288,1.000,bicubic,+5.011,+1.292,+12
resnest200e,88.428,11.572,98.023,1.977,70.20,320,0.909,bicubic,+4.588,+1.165,+2 pit_b_distilled_224,88.676,11.324,98.093,1.907,74.79,224,0.900,bicubic,+4.532,+1.237,+3
vit_large_patch16_384,88.428,11.572,98.211,1.789,304.72,384,1.000,bicubic,+3.258,+0.867,-20 eca_nfnet_l1,88.575,11.425,98.130,1.870,41.41,320,1.000,bicubic,+4.567,+1.102,+5
vit_base_patch16_384,88.383,11.617,98.160,1.840,86.86,384,1.000,bicubic,+4.171,+0.944,-5 resnetv2_152x4_bitm,88.565,11.435,98.185,1.815,936.53,480,1.000,bilinear,+3.633,+0.749,-10
resnet152d,88.358,11.643,97.923,2.077,60.21,320,1.000,bicubic,+4.694,+1.197,+2 resnet200d,88.543,11.457,97.959,2.041,64.69,320,1.000,bicubic,+4.581,+1.135,+4
resnetv2_50x3_bitm,88.340,11.660,98.117,1.883,217.32,480,1.000,bilinear,+4.540,+1.007,0 resnest269e,88.522,11.478,98.027,1.973,110.93,416,0.928,bicubic,+4.004,+1.041,-9
tf_efficientnet_b4_ap,88.319,11.681,97.908,2.092,19.34,380,0.922,bicubic,+5.095,+1.542,+5 resnetv2_101x3_bitm,88.492,11.508,98.162,1.838,387.93,480,1.000,bilinear,+4.098,+0.800,-8
tf_efficientnet_b5,88.306,11.694,97.908,2.092,30.39,456,0.934,bicubic,+4.486,+1.148,-3 resnest200e,88.432,11.568,98.042,1.958,70.20,320,0.909,bicubic,+4.600,+1.148,+2
vit_deit_base_distilled_patch16_224,88.210,11.790,97.916,2.084,87.34,224,0.900,bicubic,+4.838,+1.412,0 tf_efficientnet_b3_ns,88.426,11.574,98.029,1.971,12.23,300,0.904,bicubic,+4.378,+1.119,-2
ig_resnext101_32x8d,88.106,11.894,97.848,2.152,88.79,224,0.875,bilinear,+5.446,+1.164,+10 vit_large_patch16_384,88.407,11.593,98.187,1.813,304.72,384,1.000,bicubic,+3.249,+0.831,-23
dm_nfnet_f0,88.103,11.897,97.831,2.169,71.49,256,0.900,bicubic,+4.733,+1.273,-1 vit_base_patch16_384,88.389,11.611,98.155,1.845,86.86,384,1.000,bicubic,+4.180,+0.937,-8
swsl_resnext101_32x4d,88.054,11.946,97.920,2.080,44.18,224,0.875,bilinear,+4.802,+1.152,-1 resnet152d,88.355,11.645,97.935,2.065,60.21,320,1.000,bicubic,+4.675,+1.197,+2
tf_efficientnet_b4,87.950,12.050,97.722,2.278,19.34,380,0.922,bicubic,+4.976,+1.430,+4 resnetv2_50x3_bitm,88.349,11.651,98.108,1.892,217.32,480,1.000,bilinear,+4.565,+1.002,-1
resnet101d,87.922,12.078,97.893,2.107,44.57,320,1.000,bicubic,+4.922,+1.433,+2 tf_efficientnet_b4_ap,88.349,11.651,97.893,2.107,19.34,380,0.922,bicubic,+5.101,+1.501,+4
vit_deit_base_patch16_384,87.860,12.140,97.498,2.502,86.86,384,1.000,bicubic,+4.768,+1.146,-2 tf_efficientnet_b5,88.321,11.679,97.912,2.088,30.39,456,0.934,bicubic,+4.509,+1.164,-4
tresnet_xl_448,87.796,12.204,97.463,2.537,78.44,448,0.875,bilinear,+4.754,+1.281,-1 vit_deit_base_distilled_patch16_224,88.214,11.786,97.914,2.086,87.34,224,0.900,bicubic,+4.826,+1.426,-1
swsl_resnext101_32x16d,87.683,12.317,97.861,2.139,194.03,224,0.875,bilinear,+4.219,+0.995,-9 ig_resnext101_32x8d,88.146,11.854,97.856,2.144,88.79,224,0.875,bilinear,+5.458,+1.220,+13
resnetv2_101x1_bitm,87.647,12.354,97.950,2.050,44.54,480,1.000,bilinear,+5.439,+1.490,+8 dm_nfnet_f0,88.112,11.888,97.837,2.163,71.49,256,0.900,bicubic,+4.770,+1.277,-1
pnasnet5large,87.615,12.386,97.502,2.498,86.06,331,0.911,bicubic,+4.829,+1.426,0 swsl_resnext101_32x4d,88.099,11.901,97.967,2.033,44.18,224,0.875,bilinear,+4.869,+1.207,0
ecaresnet50t,87.578,12.422,97.666,2.334,25.57,320,0.950,bicubic,+5.230,+1.522,+3 tf_efficientnet_b4,87.963,12.037,97.739,2.261,19.34,380,0.922,bicubic,+4.941,+1.439,+5
swsl_resnext50_32x4d,87.563,12.437,97.615,2.385,25.03,224,0.875,bilinear,+5.377,+1.351,+6 nfnet_l0,87.948,12.052,97.850,2.150,35.07,288,1.000,bicubic,+5.188,+1.352,+7
tf_efficientnet_b2_ns,87.535,12.464,97.639,2.361,9.11,260,0.890,bicubic,+5.169,+1.379,0 eca_nfnet_l0,87.943,12.057,97.861,2.139,24.14,288,1.000,bicubic,+5.355,+1.387,+10
efficientnet_b3a,87.431,12.569,97.681,2.319,12.23,320,1.000,bicubic,+5.199,+1.555,+2 resnet101d,87.941,12.059,97.908,2.092,44.57,320,1.000,bicubic,+4.919,+1.462,+1
tresnet_l_448,87.403,12.597,97.481,2.519,55.99,448,0.875,bilinear,+5.113,+1.503,0 regnety_032,87.937,12.063,97.891,2.109,19.44,288,1.000,bicubic,+5.213,+1.467,+5
nasnetalarge,87.350,12.650,97.436,2.564,88.75,331,0.911,bicubic,+4.710,+1.384,-4 vit_deit_base_patch16_384,87.845,12.155,97.510,2.490,86.86,384,1.000,bicubic,+4.739,+1.138,-4
efficientnet_b3,87.290,12.710,97.590,2.410,12.23,300,0.904,bicubic,+5.258,+1.553,+4 tresnet_xl_448,87.796,12.204,97.459,2.541,78.44,448,0.875,bilinear,+4.746,+1.285,-3
tresnet_xl,87.266,12.733,97.412,2.588,78.44,224,0.875,bilinear,+5.100,+1.478,+1 swin_small_patch4_window7_224,87.664,12.336,97.566,2.434,49.61,224,0.900,bicubic,+4.452,+1.244,-7
resnest101e,87.264,12.736,97.540,2.460,48.28,256,0.875,bilinear,+4.440,+1.230,-10 resnetv2_101x1_bitm,87.638,12.362,97.955,2.045,44.54,480,1.000,bilinear,+5.426,+1.483,+10
regnety_032,87.249,12.751,97.540,2.460,19.44,224,0.875,bicubic,+5.233,+1.608,+2 pnasnet5large,87.636,12.364,97.485,2.515,86.06,331,0.911,bicubic,+4.854,+1.445,-2
tf_efficientnet_b3_ap,87.177,12.823,97.410,2.590,12.23,300,0.904,bicubic,+5.375,+1.810,+4 swsl_resnext101_32x16d,87.615,12.386,97.820,2.180,194.03,224,0.875,bilinear,+4.269,+0.974,-14
ecaresnet101d,87.175,12.825,97.590,2.410,44.57,224,0.875,bicubic,+5.057,+1.549,-2 swsl_resnext50_32x4d,87.600,12.400,97.651,2.349,25.03,224,0.875,bilinear,+5.418,+1.421,+8
vit_base_patch32_384,87.012,12.988,97.660,2.340,88.30,384,1.000,bicubic,+5.348,+1.532,+6 tf_efficientnet_b2_ns,87.557,12.443,97.628,2.372,9.11,260,0.890,bicubic,+5.177,+1.380,+2
vit_deit_small_distilled_patch16_224,87.004,12.996,97.325,2.675,22.44,224,0.900,bicubic,+5.754,+1.929,+16 ecaresnet50t,87.538,12.462,97.643,2.357,25.57,320,0.950,bicubic,+5.192,+1.505,+2
vit_large_patch16_224,86.993,13.007,97.679,2.321,304.33,224,0.900,bicubic,+3.933,+1.255,-20 efficientnet_b3a,87.435,12.565,97.681,2.319,12.23,320,1.000,bicubic,+5.193,+1.567,+3
rexnet_200,86.861,13.139,97.244,2.756,16.37,224,0.875,bicubic,+5.173,+1.554,+2 tresnet_l_448,87.377,12.623,97.485,2.515,55.99,448,0.875,bilinear,+5.109,+1.509,+1
tf_efficientnet_lite4,86.852,13.148,97.244,2.756,13.01,380,0.920,bilinear,+5.336,+1.620,+5 nasnetalarge,87.350,12.650,97.417,2.583,88.75,331,0.911,bicubic,+4.730,+1.371,-5
vit_deit_base_patch16_224,86.835,13.165,97.054,2.946,86.57,224,0.900,bicubic,+4.841,+1.316,-5 efficientnet_b3,87.313,12.687,97.602,2.398,12.23,300,0.904,bicubic,+5.237,+1.582,+4
swsl_resnet50,86.825,13.175,97.528,2.472,25.56,224,0.875,bilinear,+5.701,+1.540,+14 ecaresnet101d,87.288,12.712,97.562,2.438,44.57,224,0.875,bicubic,+5.116,+1.516,+2
tf_efficientnet_b3,86.818,13.182,97.305,2.695,12.23,300,0.904,bicubic,+5.192,+1.599,0 efficientnet_v2s,87.286,12.714,97.470,2.530,23.94,224,1.000,bicubic,+5.216,+1.516,+3
tresnet_m_448,86.807,13.193,97.199,2.801,31.39,448,0.875,bilinear,+5.115,+1.639,-4 resnest101e,87.284,12.716,97.560,2.440,48.28,256,0.875,bilinear,+4.394,+1.240,-14
ssl_resnext101_32x8d,86.803,13.197,97.427,2.573,88.79,224,0.875,bilinear,+5.203,+1.405,-1 pit_s_distilled_224,87.277,12.723,97.500,2.500,24.04,224,0.900,bicubic,+5.281,+1.702,+4
vit_base_patch16_224,86.790,13.210,97.423,2.577,86.57,224,0.900,bicubic,+5.010,+1.311,-7 tresnet_xl,87.224,12.776,97.400,2.600,78.44,224,0.875,bilinear,+5.170,+1.463,+1
ssl_resnext101_32x16d,86.775,13.225,97.538,2.462,194.03,224,0.875,bilinear,+4.929,+1.406,-10 tf_efficientnet_b3_ap,87.192,12.808,97.380,2.620,12.23,300,0.904,bicubic,+5.370,+1.756,+4
tresnet_l,86.763,13.237,97.229,2.771,55.99,224,0.875,bilinear,+5.273,+1.645,-1 vit_base_patch32_384,87.019,12.981,97.654,2.346,88.30,384,1.000,bicubic,+5.367,+1.526,+6
seresnext50_32x4d,86.699,13.301,97.246,2.754,27.56,224,0.875,bicubic,+5.429,+1.590,+3 vit_large_patch16_224,87.006,12.994,97.690,2.310,304.33,224,0.900,bicubic,+3.944,+1.252,-23
tf_efficientnet_b1_ns,86.666,13.334,97.361,2.639,7.79,240,0.882,bicubic,+5.269,+1.631,-2 vit_deit_small_distilled_patch16_224,86.993,13.007,97.316,2.684,22.44,224,0.900,bicubic,+5.793,+1.938,+20
repvgg_b3,86.628,13.372,97.135,2.865,123.09,224,0.875,bilinear,+6.188,+1.941,+25 tnt_s_patch16_224,86.903,13.097,97.368,2.632,23.76,224,0.900,bicubic,+5.385,+1.620,+8
resnest50d_4s2x40d,86.615,13.385,97.288,2.712,30.42,224,0.875,bicubic,+5.467,+1.736,+3 ssl_resnext101_32x16d,86.856,13.143,97.517,2.483,194.03,224,0.875,bilinear,+5.013,+1.421,-2
gernet_l,86.611,13.389,97.162,2.837,31.08,256,0.875,bilinear,+5.267,+1.622,-4 rexnet_200,86.846,13.154,97.276,2.724,16.37,224,0.875,bicubic,+5.214,+1.608,+3
nf_resnet50,86.594,13.406,97.291,2.709,25.56,288,0.940,bicubic,+5.928,+1.933,+14 tf_efficientnet_b3,86.835,13.165,97.297,2.703,12.23,300,0.904,bicubic,+5.199,+1.579,+1
efficientnet_b3_pruned,86.592,13.408,97.177,2.823,9.86,300,0.904,bicubic,+5.772,+1.953,+9 vit_deit_base_patch16_224,86.829,13.171,97.049,2.951,86.57,224,0.900,bicubic,+4.831,+1.315,-7
ssl_resnext101_32x4d,86.562,13.438,97.447,2.554,44.18,224,0.875,bilinear,+5.538,+1.698,+1 tresnet_m_448,86.820,13.180,97.212,2.788,31.39,448,0.875,bilinear,+5.106,+1.640,-3
wide_resnet50_2,86.521,13.479,97.216,2.784,68.88,224,0.875,bicubic,+5.215,+1.628,-6 swsl_resnet50,86.807,13.193,97.498,2.502,25.56,224,0.875,bilinear,+5.641,+1.526,+13
resnest50d_1s4x24d,86.491,13.509,97.109,2.891,25.68,224,0.875,bicubic,+5.553,+1.791,+2 ssl_resnext101_32x8d,86.807,13.193,97.466,2.534,88.79,224,0.875,bilinear,+5.191,+1.428,0
gluon_resnet152_v1s,86.464,13.536,97.120,2.880,60.32,224,0.875,bicubic,+5.444,+1.694,-1 tf_efficientnet_lite4,86.803,13.197,97.263,2.737,13.01,380,0.920,bilinear,+5.267,+1.595,-1
ecaresnet50d,86.438,13.562,97.214,2.786,25.58,224,0.875,bicubic,+5.824,+1.900,+10 vit_base_patch16_224,86.778,13.223,97.438,2.562,86.57,224,0.900,bicubic,+4.992,+1.316,-8
repvgg_b3g4,86.412,13.588,97.062,2.938,83.83,224,0.875,bilinear,+6.174,+1.994,+29 tresnet_l,86.767,13.233,97.271,2.729,55.99,224,0.875,bilinear,+5.277,+1.647,0
gernet_m,86.355,13.645,97.141,2.859,21.14,224,0.875,bilinear,+5.625,+1.929,+4 seresnext50_32x4d,86.699,13.301,97.214,2.786,27.56,224,0.875,bicubic,+5.433,+1.594,+6
legacy_senet154,86.336,13.664,96.970,3.030,115.09,224,0.875,bilinear,+5.014,+1.516,-13 pit_b_224,86.686,13.314,96.898,3.102,73.76,224,0.900,bicubic,+4.240,+1.188,-26
efficientnet_b2a,86.291,13.709,96.975,3.025,9.11,288,1.000,bicubic,+5.683,+1.677,+7 tf_efficientnet_b1_ns,86.669,13.331,97.378,2.622,7.79,240,0.882,bicubic,+5.281,+1.640,-1
ecaresnet101d_pruned,86.287,13.713,97.248,2.752,24.88,224,0.875,bicubic,+5.401,+1.676,-4 swin_tiny_patch4_window7_224,86.664,13.336,97.197,2.803,28.29,224,0.900,bicubic,+5.286,+1.657,-1
gluon_senet154,86.278,13.722,96.960,3.040,115.09,224,0.875,bicubic,+5.062,+1.640,-12 gernet_l,86.654,13.346,97.186,2.814,31.08,256,0.875,bilinear,+5.300,+1.650,-1
resnest50d,86.276,13.724,97.056,2.944,27.48,224,0.875,bilinear,+5.306,+1.706,-8 wide_resnet50_2,86.647,13.353,97.214,2.786,68.88,224,0.875,bicubic,+5.191,+1.682,-5
cspdarknet53,86.180,13.820,96.990,3.010,27.64,256,0.887,bilinear,+6.130,+1.914,+28 efficientnet_el,86.635,13.366,97.175,2.825,10.59,300,0.904,bicubic,+5.319,+1.649,-2
resnetv2_50x1_bitm,86.160,13.839,97.551,2.449,25.55,480,1.000,bilinear,+6.008,+1.907,+26 nf_resnet50,86.617,13.383,97.282,2.718,25.56,288,0.940,bicubic,+5.923,+1.926,+16
inception_v4,86.150,13.850,96.941,3.059,42.68,299,0.875,bicubic,+5.996,+1.978,+23 resnest50d_4s2x40d,86.592,13.408,97.269,2.731,30.42,224,0.875,bicubic,+5.484,+1.711,+2
rexnet_150,86.133,13.867,97.049,2.951,9.73,224,0.875,bicubic,+5.783,+1.847,+10 efficientnet_b3_pruned,86.581,13.419,97.190,2.810,9.86,300,0.904,bicubic,+5.723,+1.948,+9
inception_resnet_v2,86.129,13.871,97.030,2.970,55.84,299,0.897,bicubic,+5.681,+1.738,+3 repvgg_b3,86.566,13.434,97.139,2.861,123.09,224,0.875,bilinear,+6.074,+1.879,+18
tresnet_m,86.126,13.874,96.639,3.361,31.39,224,0.875,bilinear,+5.406,+1.783,-6 ssl_resnext101_32x4d,86.479,13.521,97.468,2.532,44.18,224,0.875,bilinear,+5.555,+1.740,+4
ssl_resnext50_32x4d,86.103,13.897,97.190,2.810,25.03,224,0.875,bilinear,+5.771,+1.808,+8 ecaresnet50d,86.470,13.530,97.186,2.814,25.58,224,0.875,bicubic,+5.878,+1.866,+14
tf_efficientnet_el,86.092,13.908,96.977,3.023,10.59,300,0.904,bicubic,+5.800,+1.857,+12 gluon_resnet152_v1s,86.468,13.532,97.109,2.891,60.32,224,0.875,bicubic,+5.452,+1.697,-1
gluon_resnet101_v1s,86.067,13.933,97.101,2.899,44.67,224,0.875,bicubic,+5.771,+1.925,+9 resnest50d_1s4x24d,86.447,13.553,97.148,2.852,25.68,224,0.875,bicubic,+5.459,+1.826,-1
gluon_seresnext101_32x4d,86.056,13.944,96.966,3.034,48.96,224,0.875,bicubic,+5.178,+1.692,-15 repvgg_b3g4,86.363,13.637,97.054,2.946,83.83,224,0.875,bilinear,+6.151,+1.944,+31
ecaresnetlight,86.049,13.950,97.086,2.914,30.16,224,0.875,bicubic,+5.590,+1.884,-4 legacy_senet154,86.342,13.658,96.928,3.072,115.09,224,0.875,bilinear,+5.032,+1.432,-11
ecaresnet26t,86.030,13.970,97.039,2.961,16.01,320,0.950,bicubic,+6.146,+1.967,+23 gernet_m,86.319,13.681,97.096,2.904,21.14,224,0.875,bilinear,+5.587,+1.912,+5
efficientnet_b2,86.024,13.976,96.872,3.128,9.11,260,0.875,bicubic,+5.710,+1.760,+3 pit_s_224,86.316,13.684,97.045,2.955,23.46,224,0.900,bicubic,+5.222,+1.713,-7
gluon_seresnext101_64x4d,85.983,14.017,96.981,3.019,88.23,224,0.875,bicubic,+5.131,+1.645,-18 efficientnet_b2a,86.304,13.696,96.990,3.010,9.11,288,1.000,bicubic,+5.692,+1.672,+5
resnet50d,85.962,14.038,96.970,3.030,25.58,224,0.875,bicubic,+5.470,+1.842,-10 gluon_senet154,86.278,13.722,96.949,3.051,115.09,224,0.875,bicubic,+5.044,+1.601,-13
tf_efficientnet_b2_ap,85.936,14.064,96.778,3.222,9.11,260,0.890,bicubic,+5.696,+1.794,+6 resnest50d,86.240,13.761,97.073,2.927,27.48,224,0.875,bilinear,+5.266,+1.695,-7
seresnet50,85.902,14.098,96.985,3.015,28.09,224,0.875,bicubic,+5.610,+1.937,+2 ecaresnet101d_pruned,86.210,13.790,97.335,2.665,24.88,224,0.875,bicubic,+5.394,+1.707,-3
gluon_resnet152_v1d,85.898,14.102,96.849,3.151,60.21,224,0.875,bicubic,+5.418,+1.587,-12 tresnet_m,86.199,13.801,96.667,3.333,31.39,224,0.875,bilinear,+5.397,+1.807,-2
vit_large_patch32_384,85.896,14.104,97.391,2.609,306.63,384,1.000,bicubic,+4.390,+1.283,-40 efficientnet_el_pruned,86.192,13.807,97.026,2.974,10.59,300,0.904,bicubic,+5.892,+1.808,+16
tf_efficientnet_b2,85.872,14.128,96.891,3.109,9.11,260,0.890,bicubic,+5.848,+1.947,+11 cspdarknet53,86.182,13.818,97.013,2.987,27.64,256,0.887,bilinear,+6.124,+1.929,+27
repvgg_b2g4,85.859,14.140,96.817,3.183,61.76,224,0.875,bilinear,+6.456,+2.111,+37 inception_v4,86.169,13.831,96.919,3.081,42.68,299,0.875,bicubic,+6.001,+1.951,+22
mixnet_xl,85.806,14.194,96.674,3.326,11.90,224,0.875,bicubic,+5.382,+1.786,-11 rexnet_150,86.154,13.846,97.058,2.942,9.73,224,0.875,bicubic,+5.844,+1.892,+10
ens_adv_inception_resnet_v2,85.787,14.213,96.770,3.230,55.84,299,0.897,bicubic,+5.857,+1.820,+11 resnetv2_50x1_bitm,86.154,13.846,97.560,2.440,25.55,480,1.000,bilinear,+5.982,+1.934,+20
resnet50,85.783,14.217,96.740,3.260,25.56,224,0.875,bicubic,+6.779,+2.348,+55 inception_resnet_v2,86.133,13.867,97.043,2.957,55.84,299,0.897,bicubic,+5.675,+1.737,+3
tf_efficientnet_lite3,85.763,14.237,96.864,3.136,8.20,300,0.904,bilinear,+6.005,+2.000,+18 ssl_resnext50_32x4d,86.086,13.914,97.212,2.788,25.03,224,0.875,bilinear,+5.768,+1.806,+7
cspresnext50,85.738,14.262,96.827,3.173,20.57,224,0.875,bilinear,+5.732,+1.895,+6 tf_efficientnet_el,86.084,13.916,96.964,3.036,10.59,300,0.904,bicubic,+5.834,+1.836,+12
gluon_resnext101_64x4d,85.721,14.279,96.674,3.326,83.46,224,0.875,bicubic,+5.085,+1.684,-25 efficientnet_b2,86.056,13.944,96.917,3.083,9.11,260,0.875,bicubic,+5.664,+1.841,+2
legacy_seresnext101_32x4d,85.721,14.279,96.736,3.264,48.96,224,0.875,bilinear,+5.439,+1.712,-7 gluon_resnet101_v1s,86.054,13.946,97.022,2.978,44.67,224,0.875,bicubic,+5.752,+1.862,+6
regnety_320,85.721,14.279,96.757,3.243,145.05,224,0.875,bicubic,+4.939,+1.495,-31 ecaresnetlight,86.052,13.948,97.069,2.931,30.16,224,0.875,bicubic,+5.590,+1.819,-3
cspresnet50,85.716,14.284,96.793,3.207,21.62,256,0.887,bilinear,+6.134,+2.081,+22 gluon_seresnext101_32x4d,86.032,13.968,96.977,3.023,48.96,224,0.875,bicubic,+5.128,+1.683,-19
efficientnet_em,85.701,14.299,96.951,3.049,6.90,240,0.882,bicubic,+6.471,+2.159,+36 resnet50d,86.009,13.991,96.979,3.021,25.58,224,0.875,bicubic,+5.479,+1.819,-9
vit_deit_small_patch16_224,85.699,14.301,96.925,3.075,22.05,224,0.900,bicubic,+5.831,+1.883,+5 ecaresnet26t,85.983,14.017,97.041,2.959,16.01,320,0.950,bicubic,+6.129,+1.957,+26
gluon_resnet101_v1d,85.686,14.313,96.689,3.312,44.57,224,0.875,bicubic,+5.256,+1.675,-23 tf_efficientnet_b2_ap,85.975,14.025,96.810,3.190,9.11,260,0.890,bicubic,+5.675,+1.782,+3
xception71,85.667,14.333,96.791,3.209,42.34,299,0.903,bicubic,+5.821,+1.855,+6 gluon_seresnext101_64x4d,85.960,14.040,96.979,3.021,88.23,224,0.875,bicubic,+5.066,+1.671,-22
gluon_resnext101_32x4d,85.661,14.339,96.629,3.371,44.18,224,0.875,bicubic,+5.443,+1.721,-11 gluon_resnet152_v1d,85.917,14.083,96.812,3.188,60.21,224,0.875,bicubic,+5.443,+1.606,-10
ese_vovnet39b,85.650,14.350,96.862,3.139,24.57,224,0.875,bicubic,+6.444,+2.134,+34 vit_large_patch32_384,85.909,14.091,97.368,2.632,306.63,384,1.000,bicubic,+4.403,+1.276,-43
dpn107,85.640,14.360,96.710,3.290,86.92,224,0.875,bicubic,+5.460,+1.804,-12 tf_efficientnet_b2,85.902,14.098,96.862,3.139,9.11,260,0.890,bicubic,+5.816,+1.954,+9
ecaresnet50d_pruned,85.603,14.397,96.943,3.057,19.94,224,0.875,bicubic,+5.927,+2.021,+11 seresnet50,85.857,14.143,97.004,2.995,28.09,224,0.875,bicubic,+5.583,+1.934,-1
resnext50d_32x4d,85.588,14.412,96.744,3.256,25.05,224,0.875,bicubic,+5.900,+1.900,+9 repvgg_b2g4,85.855,14.145,96.812,3.188,61.76,224,0.875,bilinear,+6.489,+2.124,+36
efficientnet_b2_pruned,85.576,14.425,96.770,3.230,8.31,260,0.890,bicubic,+5.744,+1.964,+2 gluon_resnet101_v1d,85.849,14.151,96.663,3.337,44.57,224,0.875,bicubic,+5.435,+1.649,-12
regnety_120,85.571,14.429,96.761,3.239,51.82,224,0.875,bicubic,+5.197,+1.653,-28 resnet50,85.804,14.196,96.712,3.288,25.56,224,0.875,bicubic,+6.766,+2.322,+56
regnetx_320,85.556,14.444,96.676,3.324,107.81,224,0.875,bicubic,+5.242,+1.608,-25 mixnet_xl,85.798,14.202,96.712,3.288,11.90,224,0.875,bicubic,+5.322,+1.776,-18
regnety_160,85.535,14.465,96.680,3.320,83.59,224,0.875,bicubic,+5.121,+1.700,-31 ens_adv_inception_resnet_v2,85.781,14.220,96.759,3.241,55.84,299,0.897,bicubic,+5.799,+1.823,+7
gluon_resnet152_v1c,85.524,14.476,96.650,3.350,60.21,224,0.875,bicubic,+5.674,+1.760,-5 tf_efficientnet_lite3,85.755,14.245,96.887,3.113,8.20,300,0.904,bilinear,+5.935,+1.973,+16
rexnet_130,85.524,14.476,96.663,3.337,7.56,224,0.875,bicubic,+6.008,+2.003,+10 ese_vovnet39b,85.751,14.249,96.891,3.109,24.57,224,0.875,bicubic,+6.431,+2.179,+32
gluon_resnet152_v1b,85.520,14.480,96.554,3.446,60.19,224,0.875,bicubic,+5.886,+1.796,+4 gluon_resnext101_32x4d,85.746,14.254,96.635,3.365,44.18,224,0.875,bicubic,+5.412,+1.709,-15
nf_regnet_b1,85.488,14.512,96.799,3.200,10.22,288,0.900,bicubic,+6.164,+2.027,+13 legacy_seresnext101_32x4d,85.746,14.254,96.757,3.243,48.96,224,0.875,bilinear,+5.518,+1.739,-7
dpn92,85.471,14.529,96.629,3.371,37.67,224,0.875,bicubic,+5.437,+1.811,-18 cspresnext50,85.740,14.260,96.840,3.160,20.57,224,0.875,bilinear,+5.700,+1.896,0
dpn131,85.441,14.559,96.590,3.410,79.25,224,0.875,bicubic,+5.575,+1.864,-11 regnety_320,85.727,14.273,96.725,3.275,145.05,224,0.875,bicubic,+4.915,+1.481,-34
regnetx_160,85.426,14.574,96.665,3.335,54.28,224,0.875,bicubic,+5.542,+1.839,-14 cspresnet50,85.721,14.279,96.795,3.205,21.62,256,0.887,bilinear,+6.147,+2.083,+19
dla102x2,85.383,14.617,96.599,3.401,41.28,224,0.875,bilinear,+5.955,+1.971,+6 xception71,85.697,14.303,96.776,3.224,42.34,299,0.903,bicubic,+5.823,+1.854,+4
xception65,85.353,14.646,96.629,3.371,39.92,299,0.903,bicubic,+5.761,+1.971,-1 gluon_resnext101_64x4d,85.693,14.307,96.644,3.356,83.46,224,0.875,bicubic,+5.089,+1.656,-32
gluon_seresnext50_32x4d,85.317,14.683,96.723,3.277,27.56,224,0.875,bicubic,+5.369,+1.887,-20 efficientnet_em,85.684,14.316,96.938,3.062,6.90,240,0.882,bicubic,+6.432,+2.144,+33
dpn98,85.315,14.685,96.501,3.499,61.57,224,0.875,bicubic,+5.627,+1.857,-7 vit_deit_small_patch16_224,85.678,14.322,96.906,3.094,22.05,224,0.900,bicubic,+5.822,+1.854,+3
regnety_080,85.315,14.685,96.663,3.337,39.18,224,0.875,bicubic,+5.475,+1.815,-14 pit_xs_distilled_224,85.657,14.343,96.667,3.333,11.00,224,0.900,bicubic,+6.351,+2.303,+27
skresnext50_32x4d,85.311,14.689,96.362,3.638,27.48,224,0.875,bicubic,+5.157,+1.660,-29 efficientnet_b2_pruned,85.642,14.358,96.746,3.254,8.31,260,0.890,bicubic,+5.726,+1.890,-4
regnety_064,85.291,14.709,96.650,3.350,30.58,224,0.875,bicubic,+5.555,+1.892,-12 dpn107,85.640,14.360,96.729,3.271,86.92,224,0.875,bicubic,+5.484,+2.087,-12
dpn68b,85.262,14.738,96.449,3.551,12.61,224,0.875,bicubic,+6.122,+2.025,+14 ecaresnet50d_pruned,85.580,14.420,96.936,3.064,19.94,224,0.875,bicubic,+5.864,+2.056,+5
resnetblur50,85.247,14.753,96.565,3.435,25.56,224,0.875,bicubic,+5.985,+1.943,+5 gluon_resnet152_v1c,85.580,14.420,96.646,3.354,60.21,224,0.875,bicubic,+5.670,+1.806,-6
gluon_resnet101_v1c,85.230,14.770,96.481,3.519,44.57,224,0.875,bicubic,+5.680,+1.839,-6 resnext50d_32x4d,85.569,14.431,96.748,3.252,25.05,224,0.875,bicubic,+5.893,+1.882,+6
gluon_inception_v3,85.228,14.773,96.533,3.467,23.83,299,0.875,bicubic,+6.398,+2.135,+25 regnety_120,85.543,14.457,96.785,3.215,51.82,224,0.875,bicubic,+5.177,+1.659,-31
resnext101_32x8d,85.223,14.777,96.492,3.508,88.79,224,0.875,bilinear,+6.013,+1.936,+7 regnetx_320,85.524,14.476,96.669,3.331,107.81,224,0.875,bicubic,+5.278,+1.643,-23
resnext50_32x4d,85.200,14.800,96.505,3.495,25.03,224,0.875,bicubic,+5.478,+1.899,-17 nf_regnet_b1,85.499,14.501,96.799,3.200,10.22,288,0.900,bicubic,+6.193,+2.051,+18
hrnet_w64,85.191,14.809,96.721,3.280,128.06,224,0.875,bilinear,+5.703,+2.082,-8 dpn92,85.494,14.506,96.635,3.365,37.67,224,0.875,bicubic,+5.486,+1.797,-15
gluon_xception65,85.170,14.830,96.595,3.405,39.92,299,0.903,bicubic,+5.414,+1.743,-21 gluon_resnet152_v1b,85.475,14.525,96.550,3.450,60.19,224,0.875,bicubic,+5.789,+1.814,0
ssl_resnet50,85.161,14.839,96.868,3.132,25.56,224,0.875,bilinear,+5.921,+1.954,-1 rexnet_130,85.473,14.527,96.684,3.316,7.56,224,0.875,bicubic,+5.973,+2.002,+6
gluon_resnet101_v1b,85.155,14.845,96.379,3.621,44.55,224,0.875,bicubic,+5.795,+1.871,-8 dpn131,85.398,14.602,96.639,3.361,79.25,224,0.875,bicubic,+5.576,+1.929,-8
hrnet_w48,85.153,14.847,96.477,3.523,77.47,224,0.875,bilinear,+5.917,+1.955,-2 regnetx_160,85.390,14.610,96.637,3.363,54.28,224,0.875,bicubic,+5.534,+1.807,-12
xception,85.146,14.854,96.496,3.504,22.86,299,0.897,bicubic,+6.118,+2.126,+9 dla102x2,85.366,14.634,96.629,3.371,41.28,224,0.875,bilinear,+5.918,+1.989,+5
tf_efficientnet_b1_ap,85.140,14.860,96.411,3.589,7.79,240,0.882,bicubic,+5.850,+2.085,-8 gluon_seresnext50_32x4d,85.336,14.664,96.667,3.333,27.56,224,0.875,bicubic,+5.418,+1.845,-19
regnetx_120,85.104,14.896,96.473,3.527,46.11,224,0.875,bicubic,+5.530,+1.781,-18 xception65,85.315,14.685,96.637,3.363,39.92,299,0.903,bicubic,+5.763,+1.983,-1
res2net101_26w_4s,85.095,14.905,96.326,3.674,45.21,224,0.875,bilinear,+5.975,+1.894,+2 skresnext50_32x4d,85.313,14.687,96.390,3.610,27.48,224,0.875,bicubic,+5.157,+1.480,-28
tf_efficientnet_cc_b1_8e,85.065,14.935,96.417,3.583,39.72,240,0.882,bicubic,+5.777,+2.059,-10 dpn98,85.311,14.689,96.469,3.531,61.57,224,0.875,bicubic,+5.669,+1.871,-6
gluon_resnext50_32x4d,85.050,14.950,96.462,3.538,25.03,224,0.875,bicubic,+5.730,+1.962,-13 gluon_resnet101_v1c,85.304,14.696,96.405,3.595,44.57,224,0.875,bicubic,+5.770,+1.827,-3
res2net50_26w_8s,85.010,14.990,96.471,3.529,48.40,224,0.875,bilinear,+5.880,+2.067,-2 dpn68b,85.291,14.709,96.464,3.536,12.61,224,0.875,bicubic,+6.076,+2.050,+14
hrnet_w44,84.988,15.012,96.479,3.521,67.06,224,0.875,bilinear,+6.102,+2.069,+7 resnetblur50,85.283,14.717,96.531,3.470,25.56,224,0.875,bicubic,+5.997,+1.892,+7
tf_efficientnet_b0_ns,84.980,15.020,96.535,3.465,5.29,224,0.875,bicubic,+6.380,+2.147,+16 regnety_064,85.283,14.717,96.639,3.361,30.58,224,0.875,bicubic,+5.561,+1.871,-14
dla169,84.961,15.039,96.494,3.506,53.39,224,0.875,bilinear,+6.229,+2.160,+11 regnety_080,85.245,14.755,96.633,3.367,39.18,224,0.875,bicubic,+5.369,+1.803,-24
regnety_040,84.952,15.048,96.633,3.367,20.65,224,0.875,bicubic,+5.736,+1.971,-11 resnext50_32x4d,85.221,14.779,96.526,3.474,25.03,224,0.875,bicubic,+5.453,+1.928,-18
tf_efficientnet_b1,84.948,15.052,96.351,3.649,7.79,240,0.882,bicubic,+6.116,+2.145,+5 resnext101_32x8d,85.187,14.813,96.445,3.555,88.79,224,0.875,bilinear,+5.879,+1.927,-2
resnest26d,84.939,15.061,96.588,3.412,17.07,224,0.875,bilinear,+6.499,+2.292,+19 gluon_inception_v3,85.183,14.817,96.526,3.474,23.83,299,0.875,bicubic,+6.377,+2.156,+22
legacy_seresnext50_32x4d,84.937,15.063,96.484,3.517,27.56,224,0.875,bilinear,+5.829,+2.006,-7 hrnet_w48,85.151,14.849,96.492,3.508,77.47,224,0.875,bilinear,+5.851,+1.980,+1
gluon_resnet50_v1s,84.903,15.097,96.486,3.514,25.68,224,0.875,bicubic,+6.115,+2.246,+5 gluon_xception65,85.148,14.851,96.597,3.403,39.92,299,0.903,bicubic,+5.433,+1.737,-19
dla60_res2net,84.865,15.136,96.430,3.570,20.85,224,0.875,bilinear,+6.343,+2.178,+11 gluon_resnet101_v1b,85.142,14.858,96.366,3.634,44.55,224,0.875,bicubic,+5.836,+1.842,-4
dla102x,84.845,15.155,96.539,3.461,26.31,224,0.875,bilinear,+6.317,+2.333,+9 regnetx_120,85.131,14.869,96.477,3.523,46.11,224,0.875,bicubic,+5.535,+1.739,-17
mixnet_l,84.832,15.168,96.306,3.694,7.33,224,0.875,bicubic,+5.900,+2.122,-6 xception,85.129,14.871,96.471,3.529,22.86,299,0.897,bicubic,+6.077,+2.079,+10
gluon_resnet50_v1d,84.824,15.176,96.439,3.561,25.58,224,0.875,bicubic,+5.752,+1.961,-10 tf_efficientnet_b1_ap,85.127,14.873,96.405,3.595,7.79,240,0.882,bicubic,+5.847,+2.099,-2
regnetx_080,84.822,15.178,96.473,3.527,39.57,224,0.875,bicubic,+5.648,+1.917,-17 hrnet_w64,85.119,14.881,96.744,3.256,128.06,224,0.875,bilinear,+5.645,+2.092,-15
regnetx_064,84.813,15.187,96.526,3.474,26.21,224,0.875,bicubic,+5.735,+2.066,-13 ssl_resnet50,85.097,14.903,96.866,3.134,25.56,224,0.875,bilinear,+5.875,+2.034,-2
xception41,84.805,15.195,96.415,3.585,26.97,299,0.903,bicubic,+6.309,+2.159,+7 res2net101_26w_4s,85.093,14.907,96.381,3.619,45.21,224,0.875,bilinear,+5.895,+1.949,+1
repvgg_b2,84.777,15.223,96.411,3.589,89.02,224,0.875,bilinear,+5.895,+2.065,-7 tf_efficientnet_cc_b1_8e,85.063,14.937,96.422,3.578,39.72,240,0.882,bicubic,+5.755,+2.052,-12
tv_resnet152,84.775,15.225,96.174,3.826,60.19,224,0.875,bilinear,+6.525,+2.192,+13 res2net50_26w_8s,85.029,14.971,96.419,3.580,48.40,224,0.875,bilinear,+5.831,+2.052,-2
dla60_res2next,84.766,15.234,96.426,3.574,17.03,224,0.875,bilinear,+6.444,+2.236,+10 resnest26d,85.008,14.992,96.637,3.363,17.07,224,0.875,bilinear,+6.530,+2.339,+22
hrnet_w40,84.764,15.236,96.552,3.448,57.56,224,0.875,bilinear,+5.858,+2.118,-12 gluon_resnext50_32x4d,84.995,15.005,96.426,3.574,25.03,224,0.875,bicubic,+5.641,+2.000,-18
res2net50_26w_6s,84.758,15.242,96.330,3.670,37.05,224,0.875,bilinear,+6.154,+2.166,-3 tf_efficientnet_b0_ns,84.984,15.016,96.503,3.497,5.29,224,0.875,bicubic,+6.326,+2.127,+15
selecsls60b,84.698,15.302,96.345,3.655,32.77,224,0.875,bicubic,+6.202,+2.153,0 regnety_040,84.948,15.052,96.612,3.388,20.65,224,0.875,bicubic,+5.728,+1.956,-8
legacy_seresnet152,84.681,15.319,96.377,3.623,66.82,224,0.875,bilinear,+6.037,+1.987,-7 dla169,84.920,15.080,96.535,3.465,53.39,224,0.875,bilinear,+6.232,+2.199,+11
tf_mixnet_l,84.649,15.351,96.217,3.783,7.33,224,0.875,bicubic,+5.847,+2.163,-11 tf_efficientnet_b1,84.918,15.082,96.364,3.636,7.79,240,0.882,bicubic,+6.092,+2.166,+4
regnetx_040,84.634,15.366,96.432,3.568,22.12,224,0.875,bicubic,+6.140,+2.162,-1 legacy_seresnext50_32x4d,84.901,15.099,96.434,3.566,27.56,224,0.875,bilinear,+5.823,+1.998,-6
wide_resnet101_2,84.604,15.396,96.373,3.627,126.89,224,0.875,bilinear,+5.694,+2.029,-19 hrnet_w44,84.884,15.116,96.434,3.566,67.06,224,0.875,bilinear,+5.988,+2.066,0
hrnet_w32,84.596,15.405,96.434,3.566,41.23,224,0.875,bilinear,+6.171,+2.232,0 gluon_resnet50_v1s,84.862,15.138,96.443,3.557,25.68,224,0.875,bicubic,+6.152,+2.205,+5
efficientnet_es,84.576,15.424,96.298,3.702,5.44,224,0.875,bicubic,+6.544,+2.398,+11 regnetx_080,84.862,15.138,96.434,3.566,39.57,224,0.875,bicubic,+5.668,+1.874,-10
efficientnet_b1,84.546,15.454,96.148,3.852,7.79,240,0.875,bicubic,+5.942,+2.054,-12 gluon_resnet50_v1d,84.832,15.168,96.398,3.602,25.58,224,0.875,bicubic,+5.758,+1.928,-9
dla60x,84.544,15.456,96.244,3.756,17.35,224,0.875,bilinear,+6.318,+2.256,+2 dla60_res2next,84.830,15.170,96.411,3.589,17.03,224,0.875,bilinear,+6.390,+2.259,+14
hrnet_w30,84.531,15.469,96.432,3.568,37.71,224,0.875,bilinear,+6.397,+2.240,+4 mixnet_l,84.822,15.178,96.328,3.672,7.33,224,0.875,bicubic,+5.846,+2.146,-7
legacy_seresnet101,84.521,15.479,96.330,3.670,49.33,224,0.875,bilinear,+6.101,+2.156,-4 tv_resnet152,84.815,15.185,96.225,3.775,60.19,224,0.875,bilinear,+6.503,+2.187,+16
repvgg_b1,84.467,15.533,96.296,3.704,57.42,224,0.875,bilinear,+6.025,+2.138,-8 dla60_res2net,84.813,15.187,96.481,3.519,20.85,224,0.875,bilinear,+6.349,+2.275,+9
tf_efficientnet_em,84.467,15.533,96.185,3.815,6.90,240,0.882,bicubic,+6.307,+2.139,-1 dla102x,84.813,15.187,96.552,3.448,26.31,224,0.875,bilinear,+6.303,+2.324,+5
efficientnet_b1_pruned,84.420,15.580,96.123,3.877,6.33,240,0.882,bicubic,+6.146,+2.315,-5 xception41,84.792,15.208,96.413,3.587,26.97,299,0.903,bicubic,+6.276,+2.135,+2
res2net50_26w_4s,84.369,15.631,96.097,3.903,25.70,224,0.875,bilinear,+6.403,+2.267,+4 pit_xs_224,84.792,15.208,96.492,3.508,10.62,224,0.900,bicubic,+6.610,+2.324,+18
res2net50_14w_8s,84.322,15.678,96.080,3.920,25.06,224,0.875,bilinear,+6.204,+2.244,-1 regnetx_064,84.781,15.219,96.490,3.510,26.21,224,0.875,bicubic,+5.709,+2.032,-16
regnetx_032,84.314,15.686,96.249,3.751,15.30,224,0.875,bicubic,+6.166,+2.183,-4 hrnet_w40,84.743,15.257,96.554,3.446,57.56,224,0.875,bilinear,+5.823,+2.084,-13
dla102,84.271,15.729,96.165,3.835,33.27,224,0.875,bilinear,+6.217,+2.247,-1 res2net50_26w_6s,84.726,15.274,96.281,3.719,37.05,224,0.875,bilinear,+6.156,+2.157,-2
rexnet_100,84.192,15.808,96.212,3.788,4.80,224,0.875,bicubic,+6.306,+2.354,+4 repvgg_b2,84.724,15.276,96.469,3.531,89.02,224,0.875,bilinear,+5.932,+2.055,-10
res2next50,84.160,15.840,96.031,3.969,24.67,224,0.875,bilinear,+6.080,+2.079,-4 legacy_seresnet152,84.704,15.296,96.417,3.583,66.82,224,0.875,bilinear,+6.044,+2.047,-6
res2net50_48w_2s,84.154,15.846,95.978,4.022,25.29,224,0.875,bilinear,+6.636,+2.396,+13 selecsls60b,84.657,15.343,96.300,3.700,32.77,224,0.875,bicubic,+6.245,+2.126,+3
gluon_resnet50_v1c,84.132,15.868,96.198,3.803,25.58,224,0.875,bicubic,+6.206,+2.192,-2 hrnet_w32,84.651,15.349,96.407,3.593,41.23,224,0.875,bilinear,+6.201,+2.221,0
selecsls60,84.128,15.872,96.106,3.894,30.67,224,0.875,bicubic,+6.214,+2.284,-1 regnetx_040,84.600,15.400,96.383,3.617,22.12,224,0.875,bicubic,+6.118,+2.139,-4
resnet34d,84.107,15.893,95.980,4.020,21.82,224,0.875,bicubic,+7.011,+2.556,+22 efficientnet_es,84.591,15.409,96.311,3.689,5.44,224,0.875,bicubic,+6.525,+2.385,+13
tf_inception_v3,84.077,15.923,95.922,4.078,23.83,299,0.875,bicubic,+6.273,+2.198,+1 hrnet_w30,84.572,15.428,96.388,3.612,37.71,224,0.875,bilinear,+6.366,+2.166,+6
gluon_resnet50_v1b,84.047,15.953,95.995,4.005,25.56,224,0.875,bicubic,+6.383,+2.321,+2 tf_mixnet_l,84.564,15.437,96.244,3.756,7.33,224,0.875,bicubic,+5.790,+2.246,-16
tf_efficientnet_lite2,84.045,15.955,96.118,3.881,6.09,260,0.890,bicubic,+6.605,+2.356,+9 wide_resnet101_2,84.557,15.443,96.349,3.651,126.89,224,0.875,bilinear,+5.701,+2.067,-21
efficientnet_b0,84.019,15.981,95.909,4.091,5.29,224,0.875,bicubic,+6.409,+2.345,+3 efficientnet_b1,84.531,15.469,96.153,3.847,7.79,240,0.875,bicubic,+5.834,+2.009,-16
tv_resnext50_32x4d,84.019,15.981,95.982,4.018,25.03,224,0.875,bilinear,+6.391,+2.302,0 dla60x,84.523,15.477,96.285,3.715,17.35,224,0.875,bilinear,+6.277,+2.267,-1
tf_efficientnet_cc_b0_8e,83.957,16.043,96.025,3.975,24.01,224,0.875,bicubic,+6.031,+2.427,-9 legacy_seresnet101,84.504,15.496,96.330,3.670,49.33,224,0.875,bilinear,+6.122,+2.066,-5
mobilenetv2_120d,83.908,16.092,95.913,4.087,5.83,224,0.875,bicubic,+6.580,+2.436,+8 tf_efficientnet_em,84.450,15.550,96.180,3.820,6.90,240,0.882,bicubic,+6.320,+2.136,+4
densenet161,83.891,16.109,95.995,4.005,28.68,224,0.875,bicubic,+6.553,+2.307,+6 repvgg_b1,84.416,15.584,96.221,3.779,57.42,224,0.875,bilinear,+6.050,+2.123,-6
adv_inception_v3,83.880,16.120,95.926,4.074,23.83,299,0.875,bicubic,+6.318,+2.240,-1 efficientnet_b1_pruned,84.393,15.607,96.140,3.860,6.33,240,0.882,bicubic,+6.157,+2.306,-3
regnety_016,83.863,16.137,96.033,3.967,11.20,224,0.875,bicubic,+6.059,+2.383,-7 res2net50_26w_4s,84.365,15.635,96.082,3.918,25.70,224,0.875,bilinear,+6.401,+2.228,+8
tv_resnet101,83.861,16.139,95.860,4.140,44.55,224,0.875,bilinear,+6.547,+2.304,+6 hardcorenas_f,84.326,15.674,96.025,3.975,8.20,224,0.875,bilinear,+6.222,+2.222,+1
seresnext26t_32x4d,83.825,16.175,95.922,4.078,16.81,224,0.875,bicubic,+5.995,+2.194,-11 res2net50_14w_8s,84.309,15.691,96.072,3.929,25.06,224,0.875,bilinear,+6.159,+2.224,-2
seresnext26d_32x4d,83.742,16.259,95.867,4.133,16.81,224,0.875,bicubic,+6.224,+2.261,-2 selecsls60,84.288,15.712,96.095,3.905,30.67,224,0.875,bicubic,+6.306,+2.267,+4
vit_small_patch16_224,83.735,16.265,95.762,4.238,48.75,224,0.900,bicubic,+5.863,+2.370,-14 regnetx_032,84.237,15.763,96.247,3.753,15.30,224,0.875,bicubic,+6.065,+2.159,-5
inception_v3,83.705,16.295,95.884,4.116,23.83,299,0.875,bicubic,+6.295,+2.410,-2 res2next50,84.226,15.774,95.997,4.003,24.67,224,0.875,bilinear,+5.980,+2.105,-10
dla60,83.697,16.303,95.967,4.033,22.04,224,0.875,bilinear,+6.773,+2.677,+9 gluon_resnet50_v1c,84.207,15.793,96.161,3.839,25.58,224,0.875,bicubic,+6.195,+2.173,-1
repvgg_b1g4,83.697,16.303,96.029,3.971,39.97,224,0.875,bilinear,+6.157,+2.235,-8 dla102,84.190,15.810,96.206,3.794,33.27,224,0.875,bilinear,+6.158,+2.260,-3
tf_efficientnet_b0_ap,83.645,16.355,95.762,4.238,5.29,224,0.875,bicubic,+6.573,+2.500,+5 rexnet_100,84.162,15.838,96.255,3.745,4.80,224,0.875,bicubic,+6.304,+2.617,+4
skresnet34,83.639,16.361,95.903,4.097,22.28,224,0.875,bicubic,+6.729,+2.631,+8 tf_inception_v3,84.132,15.868,95.920,4.080,23.83,299,0.875,bicubic,+6.274,+2.504,+4
densenet201,83.615,16.384,95.835,4.165,20.01,224,0.875,bicubic,+6.296,+2.353,-4 res2net50_48w_2s,84.126,15.874,95.965,4.035,25.29,224,0.875,bilinear,+6.604,+2.411,+12
tf_efficientnet_cc_b0_4e,83.609,16.391,95.775,4.225,13.31,224,0.875,bicubic,+6.313,+2.415,-3 resnet34d,84.098,15.902,95.978,4.022,21.82,224,0.875,bicubic,+6.982,+2.596,+22
hrnet_w18,83.584,16.416,95.926,4.074,21.30,224,0.875,bilinear,+6.752,+2.522,+7 tf_efficientnet_lite2,84.094,15.906,96.069,3.931,6.09,260,0.890,bicubic,+6.626,+2.315,+11
legacy_seresnet50,83.579,16.421,96.093,3.907,28.09,224,0.875,bilinear,+5.967,+2.297,-17 efficientnet_b0,84.038,15.962,95.956,4.044,5.29,224,0.875,bicubic,+6.340,+2.424,+2
legacy_seresnext26_32x4d,83.509,16.491,95.745,4.255,16.79,224,0.875,bicubic,+6.393,+2.387,-4 hardcorenas_e,83.968,16.032,95.898,4.101,8.07,224,0.875,bilinear,+6.174,+2.204,0
tf_efficientnet_b0,83.500,16.500,95.709,4.292,5.29,224,0.875,bicubic,+6.670,+2.436,+5 tf_efficientnet_cc_b0_8e,83.966,16.034,96.065,3.935,24.01,224,0.875,bicubic,+6.058,+2.411,-6
gernet_s,83.492,16.508,95.787,4.213,8.17,224,0.875,bilinear,+6.618,+2.659,+2 tv_resnext50_32x4d,83.959,16.041,95.960,4.040,25.03,224,0.875,bilinear,+6.339,+2.264,+1
selecsls42b,83.492,16.508,95.779,4.221,32.46,224,0.875,bicubic,+6.396,+2.387,-6 regnety_016,83.955,16.045,96.005,3.995,11.20,224,0.875,bicubic,+6.093,+2.285,-7
mixnet_m,83.485,16.515,95.696,4.304,5.01,224,0.875,bicubic,+6.309,+2.270,-9 gluon_resnet50_v1b,83.940,16.060,96.012,3.988,25.56,224,0.875,bicubic,+6.360,+2.296,+3
densenetblur121d,83.394,16.607,95.798,4.202,8.00,224,0.875,bicubic,+6.919,+2.702,+8 densenet161,83.906,16.094,96.010,3.990,28.68,224,0.875,bicubic,+6.548,+2.372,+8
tf_efficientnet_lite1,83.347,16.654,95.664,4.336,5.42,240,0.882,bicubic,+6.719,+2.416,+2 adv_inception_v3,83.902,16.098,95.935,4.065,23.83,299,0.875,bicubic,+6.320,+2.199,0
ese_vovnet19b_dw,83.246,16.754,95.790,4.210,6.54,224,0.875,bicubic,+6.474,+2.514,0 mobilenetv2_120d,83.893,16.107,95.909,4.091,5.83,224,0.875,bicubic,+6.609,+2.417,+9
regnetx_016,83.206,16.794,95.745,4.255,9.19,224,0.875,bicubic,+6.292,+2.373,-6 seresnext26t_32x4d,83.878,16.122,95.931,4.069,16.81,224,0.875,bicubic,+5.892,+2.185,-16
mobilenetv2_140,83.191,16.809,95.638,4.362,6.11,224,0.875,bicubic,+6.653,+2.694,+2 tv_resnet101,83.848,16.152,95.892,4.108,44.55,224,0.875,bilinear,+6.474,+2.352,+3
dpn68,83.189,16.811,95.632,4.368,12.61,224,0.875,bicubic,+6.811,+2.654,+4 inception_v3,83.761,16.239,95.879,4.121,23.83,299,0.875,bicubic,+6.323,+2.403,0
tf_mixnet_m,83.189,16.811,95.491,4.509,5.01,224,0.875,bicubic,+6.225,+2.279,-11 hardcorenas_d,83.759,16.241,95.734,4.266,7.50,224,0.875,bilinear,+6.327,+2.250,0
tf_efficientnet_es,83.178,16.822,95.595,4.405,5.44,224,0.875,bicubic,+6.616,+2.411,-2 seresnext26d_32x4d,83.754,16.246,95.849,4.151,16.81,224,0.875,bicubic,+6.152,+2.241,-8
repvgg_a2,83.097,16.903,95.583,4.417,28.21,224,0.875,bilinear,+6.609,+2.561,-1 vit_small_patch16_224,83.735,16.265,95.758,4.242,48.75,224,0.900,bicubic,+5.877,+1.888,-16
resnet26d,82.977,17.023,95.647,4.353,16.01,224,0.875,bicubic,+6.377,+2.459,-5 dla60,83.729,16.271,95.933,4.067,22.04,224,0.875,bilinear,+6.697,+2.615,+9
tv_resnet50,82.945,17.055,95.523,4.477,25.56,224,0.875,bilinear,+6.933,+2.589,+2 repvgg_b1g4,83.699,16.301,96.020,3.980,39.97,224,0.875,bilinear,+6.105,+2.194,-10
densenet121,82.866,17.134,95.521,4.479,7.98,224,0.875,bicubic,+7.336,+2.905,+7 legacy_seresnet50,83.662,16.337,95.973,4.027,28.09,224,0.875,bilinear,+6.032,+2.225,-14
densenet169,82.719,17.281,95.568,4.432,14.15,224,0.875,bicubic,+6.769,+2.574,+1 tf_efficientnet_b0_ap,83.650,16.350,95.779,4.221,5.29,224,0.875,bicubic,+6.564,+2.523,+4
mixnet_s,82.561,17.439,95.365,4.635,4.13,224,0.875,bicubic,+6.499,+2.539,-2 skresnet34,83.641,16.359,95.933,4.067,22.28,224,0.875,bicubic,+6.729,+2.611,+9
regnety_008,82.548,17.452,95.501,4.499,6.26,224,0.875,bicubic,+6.224,+2.401,-4 tf_efficientnet_cc_b0_4e,83.639,16.361,95.740,4.260,13.31,224,0.875,bicubic,+6.333,+2.406,-5
efficientnet_lite0,82.367,17.634,95.294,4.706,4.65,224,0.875,bicubic,+6.922,+2.750,+5 densenet201,83.556,16.444,95.811,4.189,20.01,224,0.875,bicubic,+6.270,+2.333,-5
resnest14d,82.345,17.655,95.309,4.691,10.61,224,0.875,bilinear,+6.757,+2.821,0 gernet_s,83.522,16.478,95.794,4.206,8.17,224,0.875,bilinear,+6.606,+2.662,+5
mobilenetv3_rw,82.296,17.704,95.222,4.778,5.48,224,0.875,bicubic,+6.754,+2.546,0 legacy_seresnext26_32x4d,83.517,16.483,95.719,4.281,16.79,224,0.875,bicubic,+6.413,+2.403,-2
semnasnet_100,82.234,17.766,95.243,4.757,3.89,224,0.875,bicubic,+6.808,+2.695,+3 mixnet_m,83.515,16.485,95.689,4.311,5.01,224,0.875,bicubic,+6.255,+2.265,-6
mobilenetv3_large_100,82.151,17.849,95.160,4.840,5.48,224,0.875,bicubic,+6.441,+2.664,-5 tf_efficientnet_b0,83.515,16.485,95.719,4.281,5.29,224,0.875,bicubic,+6.667,+2.491,+4
resnet34,82.119,17.881,95.115,4.885,21.80,224,0.875,bilinear,+7.023,+2.869,+6 hrnet_w18,83.500,16.500,95.907,4.093,21.30,224,0.875,bilinear,+6.742,+2.463,+5
mobilenetv2_110d,82.080,17.920,95.068,4.932,4.52,224,0.875,bicubic,+7.032,+2.936,+7 densenetblur121d,83.472,16.527,95.822,4.178,8.00,224,0.875,bicubic,+6.885,+2.630,+8
resnet26,82.055,17.945,95.277,4.723,16.00,224,0.875,bicubic,+6.661,+2.693,0 selecsls42b,83.457,16.543,95.745,4.255,32.46,224,0.875,bicubic,+6.283,+2.355,-9
tf_mixnet_s,82.023,17.977,95.145,4.855,4.13,224,0.875,bicubic,+6.365,+2.527,-8 tf_efficientnet_lite1,83.344,16.656,95.642,4.358,5.42,240,0.882,bicubic,+6.702,+2.416,+4
repvgg_b0,82.012,17.988,95.128,4.872,15.82,224,0.875,bilinear,+6.798,+2.674,-1 hardcorenas_c,83.342,16.658,95.706,4.294,5.52,224,0.875,bilinear,+6.288,+2.548,-7
vit_deit_tiny_distilled_patch16_224,81.993,18.007,95.141,4.859,5.91,224,0.900,bicubic,+7.499,+3.257,+11 regnetx_016,83.195,16.805,95.740,4.260,9.19,224,0.875,bicubic,+6.245,+2.320,-6
hrnet_w18_small_v2,81.989,18.011,95.158,4.842,15.60,224,0.875,bilinear,+6.825,+2.728,-1 mobilenetv2_140,83.182,16.818,95.689,4.311,6.11,224,0.875,bicubic,+6.666,+2.693,+5
tf_efficientnet_lite0,81.884,18.116,95.126,4.874,4.65,224,0.875,bicubic,+7.016,+2.996,+4 dpn68,83.178,16.822,95.597,4.402,12.61,224,0.875,bicubic,+6.860,+2.620,+6
tf_mobilenetv3_large_100,81.848,18.152,95.057,4.943,5.48,224,0.875,bilinear,+6.328,+2.507,-9 tf_efficientnet_es,83.178,16.822,95.585,4.415,5.44,224,0.875,bicubic,+6.584,+2.383,0
tv_densenet121,81.758,18.242,94.993,5.007,7.98,224,0.875,bicubic,+7.012,+2.863,+3 tf_mixnet_m,83.176,16.824,95.461,4.539,5.01,224,0.875,bicubic,+6.234,+2.309,-9
dla34,81.668,18.332,94.908,5.092,15.74,224,0.875,bilinear,+7.032,+2.786,+4 ese_vovnet19b_dw,83.109,16.890,95.779,4.221,6.54,224,0.875,bicubic,+6.311,+2.511,-6
regnety_006,81.641,18.359,95.119,4.881,6.06,224,0.875,bicubic,+6.435,+2.559,-7 resnet26d,83.050,16.950,95.604,4.396,16.01,224,0.875,bicubic,+6.354,+2.454,-5
legacy_seresnet34,81.626,18.374,94.938,5.062,21.96,224,0.875,bilinear,+6.714,+2.774,-2 repvgg_a2,83.001,16.999,95.589,4.411,28.21,224,0.875,bilinear,+6.541,+2.585,0
fbnetc_100,81.544,18.456,94.953,5.047,5.57,224,0.875,bilinear,+6.463,+2.599,-6 tv_resnet50,82.958,17.042,95.467,4.533,25.56,224,0.875,bilinear,+6.820,+2.603,+2
mnasnet_100,81.453,18.547,94.946,5.054,4.38,224,0.875,bicubic,+6.761,+2.806,-1 hardcorenas_b,82.873,17.128,95.392,4.607,5.18,224,0.875,bilinear,+6.335,+2.638,-4
gluon_resnet34_v1b,81.433,18.567,94.799,5.201,21.80,224,0.875,bicubic,+6.938,+2.791,0 densenet121,82.823,17.177,95.585,4.415,7.98,224,0.875,bicubic,+7.245,+2.933,+7
vgg19_bn,81.429,18.571,94.782,5.218,143.68,224,0.875,bilinear,+7.213,+2.934,+1 densenet169,82.683,17.317,95.600,4.400,14.15,224,0.875,bicubic,+6.776,+2.574,+2
regnetx_008,81.425,18.575,95.032,4.968,7.26,224,0.875,bicubic,+6.399,+2.700,-8 mixnet_s,82.525,17.476,95.356,4.644,4.13,224,0.875,bicubic,+6.532,+2.560,-1
spnasnet_100,80.893,19.107,94.570,5.429,4.42,224,0.875,bilinear,+6.773,+2.688,0 regnety_008,82.493,17.508,95.487,4.513,6.26,224,0.875,bicubic,+6.177,+2.421,-4
vgg16_bn,80.722,19.277,94.607,5.393,138.37,224,0.875,bilinear,+7.246,+3.071,+2 efficientnet_lite0,82.382,17.619,95.279,4.721,4.65,224,0.875,bicubic,+6.898,+2.769,+6
regnetx_006,80.659,19.341,94.579,5.421,6.20,224,0.875,bicubic,+6.697,+2.895,-1 resnest14d,82.352,17.648,95.339,4.661,10.61,224,0.875,bilinear,+6.848,+2.821,+4
swsl_resnet18,80.586,19.414,94.831,5.169,11.69,224,0.875,bilinear,+7.268,+3.079,+2 hardcorenas_a,82.313,17.687,95.294,4.706,5.26,224,0.875,bilinear,+6.397,+2.780,-4
regnety_004,80.573,19.427,94.697,5.303,4.34,224,0.875,bicubic,+6.631,+2.942,-2 efficientnet_es_pruned,82.296,17.704,95.303,4.697,5.44,224,0.875,bicubic,+7.296,+2.855,+13
skresnet18,80.573,19.427,94.342,5.658,11.96,224,0.875,bicubic,+7.573,+3.186,+2 mobilenetv3_rw,82.275,17.725,95.234,4.766,5.48,224,0.875,bicubic,+6.641,+2.526,-2
resnet18d,80.426,19.574,94.306,5.694,11.71,224,0.875,bicubic,+8.046,+3.596,+5 semnasnet_100,82.251,17.749,95.230,4.770,3.89,224,0.875,bicubic,+6.803,+2.626,+2
tv_resnet34,80.345,19.655,94.445,5.555,21.80,224,0.875,bilinear,+7.079,+3.015,-1 mobilenetv3_large_100,82.177,17.823,95.196,4.804,5.48,224,0.875,bicubic,+6.410,+2.654,-6
mobilenetv2_100,80.266,19.734,94.246,5.754,3.50,224,0.875,bicubic,+7.310,+3.204,0 resnet34,82.138,17.862,95.130,4.870,21.80,224,0.875,bilinear,+7.028,+2.846,+6
vit_deit_tiny_patch16_224,80.065,19.935,94.445,5.555,5.72,224,0.900,bicubic,+7.869,+3.353,+6 mobilenetv2_110d,82.070,17.930,95.076,4.923,4.52,224,0.875,bicubic,+7.034,+2.890,+7
tf_mobilenetv3_large_075,80.044,19.956,94.227,5.773,3.99,224,0.875,bilinear,+6.672,+2.823,-6 tf_mixnet_s,82.038,17.962,95.121,4.879,4.13,224,0.875,bicubic,+6.388,+2.493,-8
ssl_resnet18,80.037,19.963,94.588,5.412,11.69,224,0.875,bilinear,+7.545,+3.146,-1 repvgg_b0,82.001,17.999,95.100,4.900,15.82,224,0.875,bilinear,+6.849,+2.682,0
hrnet_w18_small,79.550,20.450,93.902,6.098,13.19,224,0.875,bilinear,+7.274,+3.316,+1 vit_deit_tiny_distilled_patch16_224,81.997,18.003,95.141,4.859,5.91,224,0.900,bicubic,+7.487,+3.251,+13
regnetx_004,79.508,20.492,93.939,6.061,5.16,224,0.875,bicubic,+6.972,+3.097,-4 pit_ti_distilled_224,81.967,18.033,95.145,4.855,5.10,224,0.900,bicubic,+7.437,+3.049,+11
vgg19,79.501,20.499,93.906,6.093,143.67,224,0.875,bilinear,+7.141,+3.056,-2 hrnet_w18_small_v2,81.961,18.039,95.164,4.836,15.60,224,0.875,bilinear,+6.847,+2.748,-1
legacy_seresnet18,79.160,20.840,93.781,6.219,11.78,224,0.875,bicubic,+7.408,+3.473,+1 tf_efficientnet_lite0,81.952,18.048,95.168,4.832,4.65,224,0.875,bicubic,+7.122,+2.992,+3
tf_mobilenetv3_large_minimal_100,79.123,20.877,93.723,6.277,3.92,224,0.875,bilinear,+6.895,+3.041,-2 resnet26,81.944,18.056,95.241,4.759,16.00,224,0.875,bicubic,+6.652,+2.671,-7
vgg16,79.031,20.968,93.635,6.365,138.36,224,0.875,bilinear,+7.403,+3.267,0 tf_mobilenetv3_large_100,81.848,18.152,95.070,4.930,5.48,224,0.875,bilinear,+6.330,+2.464,-12
vgg13_bn,79.017,20.983,93.616,6.384,133.05,224,0.875,bilinear,+7.399,+3.256,0 tv_densenet121,81.726,18.274,95.034,4.966,7.98,224,0.875,bicubic,+6.988,+2.884,+2
gluon_resnet18_v1b,78.479,21.521,93.155,6.845,11.69,224,0.875,bicubic,+7.557,+3.385,0 regnety_006,81.700,18.300,95.115,4.885,6.06,224,0.875,bicubic,+6.454,+2.583,-9
vgg11_bn,77.998,22.002,93.144,6.856,132.87,224,0.875,bilinear,+7.590,+3.420,0 dla34,81.658,18.342,94.878,5.122,15.74,224,0.875,bilinear,+7.028,+2.800,+2
regnety_002,77.441,22.559,92.933,7.067,3.16,224,0.875,bicubic,+7.115,+3.377,0 fbnetc_100,81.559,18.441,94.970,5.030,5.57,224,0.875,bilinear,+6.436,+2.584,-9
vgg13,77.215,22.785,92.709,7.291,133.05,224,0.875,bilinear,+7.231,+3.403,0 legacy_seresnet34,81.534,18.466,94.899,5.101,21.96,224,0.875,bilinear,+6.726,+2.775,-3
resnet18,77.104,22.896,92.664,7.336,11.69,224,0.875,bilinear,+7.460,+3.682,0 gluon_resnet34_v1b,81.500,18.500,94.810,5.190,21.80,224,0.875,bicubic,+6.912,+2.820,0
vgg11,76.305,23.695,92.181,7.819,132.86,224,0.875,bilinear,+7.433,+3.523,0 regnetx_008,81.485,18.515,95.059,4.941,7.26,224,0.875,bicubic,+6.447,+2.724,-9
regnetx_002,76.196,23.804,92.183,7.816,2.68,224,0.875,bicubic,+7.366,+3.673,0 mnasnet_100,81.459,18.541,94.899,5.101,4.38,224,0.875,bicubic,+6.801,+2.785,-4
dla60x_c,75.743,24.256,92.100,7.900,1.32,224,0.875,bilinear,+7.791,+3.662,0 vgg19_bn,81.446,18.554,94.763,5.237,143.68,224,0.875,bilinear,+7.232,+2.921,0
tf_mobilenetv3_small_100,74.668,25.332,91.268,8.732,2.54,224,0.875,bilinear,+6.791,+3.586,0 spnasnet_100,80.878,19.122,94.526,5.474,4.42,224,0.875,bilinear,+6.794,+2.708,0
dla46x_c,73.609,26.392,91.114,8.886,1.07,224,0.875,bilinear,+7.678,+4.110,0 regnety_004,80.659,19.341,94.686,5.314,4.34,224,0.875,bicubic,+6.624,+2.934,0
tf_mobilenetv3_small_075,72.838,27.162,90.106,9.894,2.04,224,0.875,bilinear,+7.106,+3.938,0 skresnet18,80.637,19.363,94.378,5.622,11.96,224,0.875,bicubic,+7.599,+3.210,+5
dla46_c,72.624,27.376,90.552,9.448,1.30,224,0.875,bilinear,+7.694,+4.244,0 regnetx_006,80.629,19.371,94.524,5.476,6.20,224,0.875,bicubic,+6.777,+2.852,-1
tf_mobilenetv3_small_minimal_100,69.934,30.066,88.571,11.429,2.04,224,0.875,bilinear,+7.190,+4.191,0 pit_ti_224,80.605,19.395,94.618,5.383,4.85,224,0.900,bicubic,+7.693,+3.216,+5
swsl_resnet18,80.575,19.425,94.743,5.256,11.69,224,0.875,bilinear,+7.299,+3.010,+1
vgg16_bn,80.556,19.444,94.592,5.408,138.37,224,0.875,bilinear,+7.206,+3.086,-2
tv_resnet34,80.389,19.611,94.436,5.564,21.80,224,0.875,bilinear,+7.077,+3.010,-2
resnet18d,80.387,19.613,94.252,5.748,11.71,224,0.875,bicubic,+8.127,+3.556,+6
mobilenetv2_100,80.257,19.743,94.195,5.805,3.50,224,0.875,bicubic,+7.287,+3.179,-1
ssl_resnet18,80.101,19.899,94.590,5.410,11.69,224,0.875,bilinear,+7.491,+3.174,0
tf_mobilenetv3_large_075,80.093,19.907,94.184,5.816,3.99,224,0.875,bilinear,+6.655,+2.834,-8
vit_deit_tiny_patch16_224,80.018,19.982,94.449,5.551,5.72,224,0.900,bicubic,+7.850,+3.331,+4
hrnet_w18_small,79.555,20.445,93.898,6.102,13.19,224,0.875,bilinear,+7.211,+3.220,0
vgg19,79.480,20.520,93.870,6.130,143.67,224,0.875,bilinear,+7.112,+2.998,-2
regnetx_004,79.435,20.565,93.853,6.147,5.16,224,0.875,bicubic,+7.039,+3.023,-4
tf_mobilenetv3_large_minimal_100,79.222,20.778,93.706,6.294,3.92,224,0.875,bilinear,+6.974,+3.076,-1
legacy_seresnet18,79.153,20.847,93.783,6.217,11.78,224,0.875,bicubic,+7.411,+3.449,0
vgg16,79.038,20.962,93.646,6.354,138.36,224,0.875,bilinear,+7.444,+3.264,+1
vgg13_bn,79.006,20.994,93.655,6.345,133.05,224,0.875,bilinear,+7.412,+3.279,-1
gluon_resnet18_v1b,78.372,21.628,93.138,6.862,11.69,224,0.875,bicubic,+7.536,+3.376,0
vgg11_bn,77.926,22.074,93.230,6.770,132.87,224,0.875,bilinear,+7.566,+3.428,0
regnety_002,77.405,22.595,92.914,7.086,3.16,224,0.875,bicubic,+7.153,+3.374,0
resnet18,77.276,22.724,92.756,7.244,11.69,224,0.875,bilinear,+7.528,+3.678,+1
vgg13,77.230,22.770,92.689,7.311,133.05,224,0.875,bilinear,+7.303,+3.444,-1
vgg11,76.384,23.616,92.154,7.846,132.86,224,0.875,bilinear,+7.360,+3.526,0
regnetx_002,76.124,23.876,92.211,7.789,2.68,224,0.875,bicubic,+7.362,+3.655,0
dla60x_c,75.637,24.363,92.177,7.823,1.32,224,0.875,bilinear,+7.745,+3.751,+1
tf_mobilenetv3_small_100,74.717,25.283,91.257,8.743,2.54,224,0.875,bilinear,+6.795,+3.593,-1
dla46x_c,73.647,26.353,91.095,8.905,1.07,224,0.875,bilinear,+7.677,+4.115,0
tf_mobilenetv3_small_075,72.812,27.188,90.036,9.964,2.04,224,0.875,bilinear,+7.096,+3.906,0
dla46_c,72.603,27.397,90.499,9.501,1.30,224,0.875,bilinear,+7.737,+4.207,0
tf_mobilenetv3_small_minimal_100,70.111,29.889,88.505,11.495,2.04,224,0.875,bilinear,+7.205,+4.275,0

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation top1_diff top5_diff rank_diff
2 tf_efficientnet_l2_ns 90.555 90.563 9.445 9.437 98.770 98.779 1.230 1.221 480.31 800 0.960 bicubic +2.219 +2.211 +0.106 +0.129 0
3 tf_efficientnet_l2_ns_475 90.505 90.537 9.495 9.463 98.715 98.710 1.285 1.290 480.31 475 0.936 bicubic +2.275 +2.303 +0.169 +0.164 0
4 tf_efficientnet_b7_ns 90.102 90.100 9.898 9.900 98.608 98.614 1.392 1.386 66.35 600 0.949 bicubic +3.272 +3.260 +0.516 +0.520 0 +1
5 dm_nfnet_f6 swin_large_patch4_window12_384 89.891 90.027 10.110 9.973 98.529 98.657 1.471 1.343 438.36 196.74 576 384 0.956 1.000 bicubic +3.585 +2.879 +0.787 +0.423 +1 -1
6 tf_efficientnet_b6_ns swin_base_patch4_window12_384 89.792 89.995 10.208 10.005 98.503 98.695 1.497 1.304 43.04 87.90 528 384 0.942 1.000 bicubic +3.330 +3.563 +0.625 +0.637 -1 +1
7 tf_efficientnet_b5_ns dm_nfnet_f6 89.668 89.901 10.332 10.099 98.488 98.529 1.512 1.471 30.39 438.36 456 576 0.934 0.956 bicubic +3.596 +3.605 +0.740 +0.785 0 +2
8 tf_efficientnet_b8_ap swin_large_patch4_window7_224 89.585 89.796 10.415 10.204 98.320 98.640 1.680 1.360 87.41 196.53 672 224 0.954 0.900 bicubic +4.201 +3.477 +1.022 +0.744 +6 0
9 vit_deit_base_distilled_patch16_384 tf_efficientnet_b6_ns 89.431 89.782 10.569 10.218 98.450 98.510 1.550 1.490 87.63 43.04 384 528 1.000 0.942 bicubic +4.009 +3.330 +1.116 +0.628 +3 -3
10 tf_efficientnet_b7_ap tf_efficientnet_b5_ns 89.425 89.651 10.575 10.349 98.343 98.482 1.657 1.518 66.35 30.39 600 456 0.949 0.934 bicubic +4.301 +3.563 +1.087 +0.730 +8 0
11 dm_nfnet_f3 tf_efficientnet_b8_ap 89.387 89.581 10.613 10.419 98.328 98.305 1.672 1.695 254.92 87.41 416 672 0.940 0.954 bicubic +3.805 +4.211 +0.938 +1.011 -1 +6
12 dm_nfnet_f4 tf_efficientnet_b7_ap 89.359 89.429 10.641 10.571 98.232 98.347 1.768 1.653 316.07 66.35 512 600 0.951 0.949 bicubic +3.633 +4.309 +0.714 +1.096 -4 +9
13 tf_efficientnet_b8 vit_deit_base_distilled_patch16_384 89.352 89.429 10.648 10.571 98.307 98.441 1.693 1.559 87.41 87.63 672 384 0.954 1.000 bicubic +3.968 +4.007 +0.907 +1.109 0 +2
14 tf_efficientnet_b6_ap dm_nfnet_f3 89.342 89.393 10.658 10.607 98.283 98.315 1.717 1.685 43.04 254.92 528 416 0.942 0.940 bicubic +4.552 +3.833 +1.147 +0.909 +10 -1
15 tf_efficientnet_b4_ns tf_efficientnet_b8 89.333 89.355 10.667 10.645 98.350 98.303 1.650 1.697 19.34 87.41 380 672 0.922 0.954 bicubic +4.139 +3.985 +0.850 +0.913 0 +1
16 dm_nfnet_f5 tf_efficientnet_b6_ap 89.188 89.342 10.812 10.658 98.241 98.281 1.759 1.719 377.21 43.04 544 528 0.954 0.942 bicubic +3.468 +4.554 +0.805 +1.143 -7 +12
17 ig_resnext101_32x48d tf_efficientnet_b4_ns 89.160 89.305 10.840 10.694 98.108 98.347 1.892 1.653 828.41 19.34 224 380 0.875 0.922 bilinear bicubic +3.658 +4.143 +0.560 +0.877 -6 +2
18 ig_resnext101_32x32d dm_nfnet_f4 89.143 89.299 10.857 10.701 98.187 98.224 1.813 1.776 468.53 316.07 224 512 0.875 0.951 bilinear bicubic +3.997 +3.641 +0.731 +0.714 -1 -6
19 tf_efficientnet_b7 dm_nfnet_f5 89.083 89.184 10.917 10.816 98.185 98.232 1.815 1.768 66.35 377.21 600 544 0.949 0.954 bicubic +4.147 +3.470 +0.977 +0.790 +2 -8
20 ecaresnet269d swin_base_patch4_window7_224 89.056 89.145 10.944 10.855 98.241 98.429 1.759 1.571 102.09 87.77 352 224 1.000 0.900 bicubic +4.130 +3.893 +1.005 +0.867 +2 -2
21 tf_efficientnet_b5_ap ig_resnext101_32x48d 88.940 89.120 11.060 10.880 98.160 98.130 1.840 1.870 30.39 828.41 456 224 0.934 0.875 bicubic bilinear +4.680 +3.692 +1.186 +0.558 +10 -7
22 dm_nfnet_f2 ig_resnext101_32x32d 88.874 89.111 11.126 10.889 98.100 98.181 1.900 1.819 193.78 468.53 352 224 0.920 0.875 bicubic bilinear +3.906 +4.017 +0.976 +0.743 -2 0
23 dm_nfnet_f1 tf_efficientnet_b7 88.864 89.086 11.136 10.914 98.104 98.183 1.896 1.817 132.63 66.35 320 600 0.910 0.949 bicubic +4.270 +4.150 +1.024 +0.979 +2 +3
24 ig_resnext101_32x16d ecaresnet269d 88.851 89.069 11.149 10.931 98.064 98.234 1.937 1.766 194.03 102.09 224 352 0.875 1.000 bilinear bicubic +4.683 +4.093 +0.868 +1.008 +9 0
25 vit_base_resnet50_384 tf_efficientnet_b5_ap 88.817 88.938 11.184 11.062 98.234 98.164 1.766 1.836 98.95 30.39 384 456 1.000 0.934 bicubic +3.823 +4.686 +0.940 +1.190 -6 +10
26 swsl_resnext101_32x8d dm_nfnet_f2 88.802 88.889 11.198 11.111 98.125 98.117 1.875 1.883 88.79 193.78 224 352 0.875 0.920 bilinear bicubic +4.470 +3.899 +0.971 +0.973 +4 -3
27 seresnet152d dm_nfnet_f1 88.799 88.853 11.200 11.147 98.170 98.093 1.830 1.907 66.84 132.63 320 1.000 0.910 bicubic +4.450 +4.249 +1.128 +1.025 +2
28 tf_efficientnet_b6 ig_resnext101_32x16d 88.755 88.834 11.245 11.166 98.076 98.049 1.924 1.951 43.04 194.03 528 224 0.942 0.875 bicubic bilinear +4.633 +4.664 +1.186 +0.853 +6 +9
29 resnetv2_152x2_bitm vit_base_r50_s16_384 88.678 88.808 11.322 11.192 98.341 98.232 1.659 1.768 236.34 98.95 480 384 1.000 bilinear bicubic +4.250 +3.836 +0.889 +0.944 -2 -4
30 resnetv2_152x4_bitm seresnet152d 88.582 88.795 11.418 11.205 98.192 98.172 1.808 1.828 936.53 66.84 480 320 1.000 bilinear bicubic +3.666 +4.433 +0.748 +1.132 -7 +3
31 resnet200d swsl_resnext101_32x8d 88.573 88.770 11.427 11.230 97.976 98.147 2.024 1.853 64.69 88.79 320 224 1.000 0.875 bicubic bilinear +4.573 +4.486 +1.152 +0.971 +5 +3
32 resnest269e tf_efficientnet_b6 88.528 88.761 11.472 11.239 98.021 98.064 1.979 1.937 110.93 43.04 416 528 0.928 0.942 bicubic +4.010 +4.651 +1.019 +1.178 -6 +7
33 resnetv2_101x3_bitm resnetv2_152x2_bitm 88.479 88.699 11.521 11.301 98.149 98.337 1.851 1.663 387.93 236.34 480 1.000 bilinear +4.087 +4.259 +0.791 +0.891 -5 -2
34 tf_efficientnet_b3_ns regnety_160 88.439 88.697 11.561 11.303 98.066 98.068 1.934 1.932 12.23 83.59 300 288 0.904 1.000 bicubic +4.427 +5.011 +1.156 +1.292 +1 +12
35 resnest200e pit_b_distilled_224 88.428 88.676 11.572 11.324 98.023 98.093 1.977 1.907 70.20 74.79 320 224 0.909 0.900 bicubic +4.588 +4.532 +1.165 +1.237 +2 +3
36 vit_large_patch16_384 eca_nfnet_l1 88.428 88.575 11.572 11.425 98.211 98.130 1.789 1.870 304.72 41.41 384 320 1.000 bicubic +3.258 +4.567 +0.867 +1.102 -20 +5
37 vit_base_patch16_384 resnetv2_152x4_bitm 88.383 88.565 11.617 11.435 98.160 98.185 1.840 1.815 86.86 936.53 384 480 1.000 bicubic bilinear +4.171 +3.633 +0.944 +0.749 -5 -10
38 resnet152d resnet200d 88.358 88.543 11.643 11.457 97.923 97.959 2.077 2.041 60.21 64.69 320 1.000 bicubic +4.694 +4.581 +1.197 +1.135 +2 +4
39 resnetv2_50x3_bitm resnest269e 88.340 88.522 11.660 11.478 98.117 98.027 1.883 1.973 217.32 110.93 480 416 1.000 0.928 bilinear bicubic +4.540 +4.004 +1.007 +1.041 0 -9
40 tf_efficientnet_b4_ap resnetv2_101x3_bitm 88.319 88.492 11.681 11.508 97.908 98.162 2.092 1.838 19.34 387.93 380 480 0.922 1.000 bicubic bilinear +5.095 +4.098 +1.542 +0.800 +5 -8
41 tf_efficientnet_b5 resnest200e 88.306 88.432 11.694 11.568 97.908 98.042 2.092 1.958 30.39 70.20 456 320 0.934 0.909 bicubic +4.486 +4.600 +1.148 -3 +2
42 vit_deit_base_distilled_patch16_224 tf_efficientnet_b3_ns 88.210 88.426 11.790 11.574 97.916 98.029 2.084 1.971 87.34 12.23 224 300 0.900 0.904 bicubic +4.838 +4.378 +1.412 +1.119 0 -2
43 ig_resnext101_32x8d vit_large_patch16_384 88.106 88.407 11.894 11.593 97.848 98.187 2.152 1.813 88.79 304.72 224 384 0.875 1.000 bilinear bicubic +5.446 +3.249 +1.164 +0.831 +10 -23
44 dm_nfnet_f0 vit_base_patch16_384 88.103 88.389 11.897 11.611 97.831 98.155 2.169 1.845 71.49 86.86 256 384 0.900 1.000 bicubic +4.733 +4.180 +1.273 +0.937 -1 -8
45 swsl_resnext101_32x4d resnet152d 88.054 88.355 11.946 11.645 97.920 97.935 2.080 2.065 44.18 60.21 224 320 0.875 1.000 bilinear bicubic +4.802 +4.675 +1.152 +1.197 -1 +2
46 tf_efficientnet_b4 resnetv2_50x3_bitm 87.950 88.349 12.050 11.651 97.722 98.108 2.278 1.892 19.34 217.32 380 480 0.922 1.000 bicubic bilinear +4.976 +4.565 +1.430 +1.002 +4 -1
47 resnet101d tf_efficientnet_b4_ap 87.922 88.349 12.078 11.651 97.893 2.107 44.57 19.34 320 380 1.000 0.922 bicubic +4.922 +5.101 +1.433 +1.501 +2 +4
48 vit_deit_base_patch16_384 tf_efficientnet_b5 87.860 88.321 12.140 11.679 97.498 97.912 2.502 2.088 86.86 30.39 384 456 1.000 0.934 bicubic +4.768 +4.509 +1.146 +1.164 -2 -4
49 tresnet_xl_448 vit_deit_base_distilled_patch16_224 87.796 88.214 12.204 11.786 97.463 97.914 2.537 2.086 78.44 87.34 448 224 0.875 0.900 bilinear bicubic +4.754 +4.826 +1.281 +1.426 -1
50 swsl_resnext101_32x16d ig_resnext101_32x8d 87.683 88.146 12.317 11.854 97.861 97.856 2.139 2.144 194.03 88.79 224 0.875 bilinear +4.219 +5.458 +0.995 +1.220 -9 +13
51 resnetv2_101x1_bitm dm_nfnet_f0 87.647 88.112 12.354 11.888 97.950 97.837 2.050 2.163 44.54 71.49 480 256 1.000 0.900 bilinear bicubic +5.439 +4.770 +1.490 +1.277 +8 -1
52 pnasnet5large swsl_resnext101_32x4d 87.615 88.099 12.386 11.901 97.502 97.967 2.498 2.033 86.06 44.18 331 224 0.911 0.875 bicubic bilinear +4.829 +4.869 +1.426 +1.207 0
53 ecaresnet50t tf_efficientnet_b4 87.578 87.963 12.422 12.037 97.666 97.739 2.334 2.261 25.57 19.34 320 380 0.950 0.922 bicubic +5.230 +4.941 +1.522 +1.439 +3 +5
54 swsl_resnext50_32x4d nfnet_l0 87.563 87.948 12.437 12.052 97.615 97.850 2.385 2.150 25.03 35.07 224 288 0.875 1.000 bilinear bicubic +5.377 +5.188 +1.351 +1.352 +6 +7
55 tf_efficientnet_b2_ns eca_nfnet_l0 87.535 87.943 12.464 12.057 97.639 97.861 2.361 2.139 9.11 24.14 260 288 0.890 1.000 bicubic +5.169 +5.355 +1.379 +1.387 0 +10
56 efficientnet_b3a resnet101d 87.431 87.941 12.569 12.059 97.681 97.908 2.319 2.092 12.23 44.57 320 1.000 bicubic +5.199 +4.919 +1.555 +1.462 +2 +1
57 tresnet_l_448 regnety_032 87.403 87.937 12.597 12.063 97.481 97.891 2.519 2.109 55.99 19.44 448 288 0.875 1.000 bilinear bicubic +5.113 +5.213 +1.503 +1.467 0 +5
58 nasnetalarge vit_deit_base_patch16_384 87.350 87.845 12.650 12.155 97.436 97.510 2.564 2.490 88.75 86.86 331 384 0.911 1.000 bicubic +4.710 +4.739 +1.384 +1.138 -4
59 efficientnet_b3 tresnet_xl_448 87.290 87.796 12.710 12.204 97.590 97.459 2.410 2.541 12.23 78.44 300 448 0.904 0.875 bicubic bilinear +5.258 +4.746 +1.553 +1.285 +4 -3
60 tresnet_xl swin_small_patch4_window7_224 87.266 87.664 12.733 12.336 97.412 97.566 2.588 2.434 78.44 49.61 224 0.875 0.900 bilinear bicubic +5.100 +4.452 +1.478 +1.244 +1 -7
61 resnest101e resnetv2_101x1_bitm 87.264 87.638 12.736 12.362 97.540 97.955 2.460 2.045 48.28 44.54 256 480 0.875 1.000 bilinear +4.440 +5.426 +1.230 +1.483 -10 +10
62 regnety_032 pnasnet5large 87.249 87.636 12.751 12.364 97.540 97.485 2.460 2.515 19.44 86.06 224 331 0.875 0.911 bicubic +5.233 +4.854 +1.608 +1.445 +2 -2
63 tf_efficientnet_b3_ap swsl_resnext101_32x16d 87.177 87.615 12.823 12.386 97.410 97.820 2.590 2.180 12.23 194.03 300 224 0.904 0.875 bicubic bilinear +5.375 +4.269 +1.810 +0.974 +4 -14
64 ecaresnet101d swsl_resnext50_32x4d 87.175 87.600 12.825 12.400 97.590 97.651 2.410 2.349 44.57 25.03 224 0.875 bicubic bilinear +5.057 +5.418 +1.549 +1.421 -2 +8
65 vit_base_patch32_384 tf_efficientnet_b2_ns 87.012 87.557 12.988 12.443 97.660 97.628 2.340 2.372 88.30 9.11 384 260 1.000 0.890 bicubic +5.348 +5.177 +1.532 +1.380 +6 +2
66 vit_deit_small_distilled_patch16_224 ecaresnet50t 87.004 87.538 12.996 12.462 97.325 97.643 2.675 2.357 22.44 25.57 224 320 0.900 0.950 bicubic +5.754 +5.192 +1.929 +1.505 +16 +2
67 vit_large_patch16_224 efficientnet_b3a 86.993 87.435 13.007 12.565 97.679 97.681 2.321 2.319 304.33 12.23 224 320 0.900 1.000 bicubic +3.933 +5.193 +1.255 +1.567 -20 +3
68 rexnet_200 tresnet_l_448 86.861 87.377 13.139 12.623 97.244 97.485 2.756 2.515 16.37 55.99 224 448 0.875 bicubic bilinear +5.173 +5.109 +1.554 +1.509 +2 +1
69 tf_efficientnet_lite4 nasnetalarge 86.852 87.350 13.148 12.650 97.244 97.417 2.756 2.583 13.01 88.75 380 331 0.920 0.911 bilinear bicubic +5.336 +4.730 +1.620 +1.371 +5 -5
70 vit_deit_base_patch16_224 efficientnet_b3 86.835 87.313 13.165 12.687 97.054 97.602 2.946 2.398 86.57 12.23 224 300 0.900 0.904 bicubic +4.841 +5.237 +1.316 +1.582 -5 +4
71 swsl_resnet50 ecaresnet101d 86.825 87.288 13.175 12.712 97.528 97.562 2.472 2.438 25.56 44.57 224 0.875 bilinear bicubic +5.701 +5.116 +1.540 +1.516 +14 +2
72 tf_efficientnet_b3 efficientnet_v2s 86.818 87.286 13.182 12.714 97.305 97.470 2.695 2.530 12.23 23.94 300 224 0.904 1.000 bicubic +5.192 +5.216 +1.599 +1.516 0 +3
73 tresnet_m_448 resnest101e 86.807 87.284 13.193 12.716 97.199 97.560 2.801 2.440 31.39 48.28 448 256 0.875 bilinear +5.115 +4.394 +1.639 +1.240 -4 -14
74 ssl_resnext101_32x8d pit_s_distilled_224 86.803 87.277 13.197 12.723 97.427 97.500 2.573 2.500 88.79 24.04 224 0.875 0.900 bilinear bicubic +5.203 +5.281 +1.405 +1.702 -1 +4
75 vit_base_patch16_224 tresnet_xl 86.790 87.224 13.210 12.776 97.423 97.400 2.577 2.600 86.57 78.44 224 0.900 0.875 bicubic bilinear +5.010 +5.170 +1.311 +1.463 -7 +1
76 ssl_resnext101_32x16d tf_efficientnet_b3_ap 86.775 87.192 13.225 12.808 97.538 97.380 2.462 2.620 194.03 12.23 224 300 0.875 0.904 bilinear bicubic +4.929 +5.370 +1.406 +1.756 -10 +4
77 tresnet_l vit_base_patch32_384 86.763 87.019 13.237 12.981 97.229 97.654 2.771 2.346 55.99 88.30 224 384 0.875 1.000 bilinear bicubic +5.273 +5.367 +1.645 +1.526 -1 +6
78 seresnext50_32x4d vit_large_patch16_224 86.699 87.006 13.301 12.994 97.246 97.690 2.754 2.310 27.56 304.33 224 0.875 0.900 bicubic +5.429 +3.944 +1.590 +1.252 +3 -23
79 tf_efficientnet_b1_ns vit_deit_small_distilled_patch16_224 86.666 86.993 13.334 13.007 97.361 97.316 2.639 2.684 7.79 22.44 240 224 0.882 0.900 bicubic +5.269 +5.793 +1.631 +1.938 -2 +20
80 repvgg_b3 tnt_s_patch16_224 86.628 86.903 13.372 13.097 97.135 97.368 2.865 2.632 123.09 23.76 224 0.875 0.900 bilinear bicubic +6.188 +5.385 +1.941 +1.620 +25 +8
81 resnest50d_4s2x40d ssl_resnext101_32x16d 86.615 86.856 13.385 13.143 97.288 97.517 2.712 2.483 30.42 194.03 224 0.875 bicubic bilinear +5.467 +5.013 +1.736 +1.421 +3 -2
82 gernet_l rexnet_200 86.611 86.846 13.389 13.154 97.162 97.276 2.837 2.724 31.08 16.37 256 224 0.875 bilinear bicubic +5.267 +5.214 +1.622 +1.608 -4 +3
83 nf_resnet50 tf_efficientnet_b3 86.594 86.835 13.406 13.165 97.291 97.297 2.709 2.703 25.56 12.23 288 300 0.940 0.904 bicubic +5.928 +5.199 +1.933 +1.579 +14 +1
84 efficientnet_b3_pruned vit_deit_base_patch16_224 86.592 86.829 13.408 13.171 97.177 97.049 2.823 2.951 9.86 86.57 300 224 0.904 0.900 bicubic +5.772 +4.831 +1.953 +1.315 +9 -7
85 ssl_resnext101_32x4d tresnet_m_448 86.562 86.820 13.438 13.180 97.447 97.212 2.554 2.788 44.18 31.39 224 448 0.875 bilinear +5.538 +5.106 +1.698 +1.640 +1 -3
86 wide_resnet50_2 swsl_resnet50 86.521 86.807 13.479 13.193 97.216 97.498 2.784 2.502 68.88 25.56 224 0.875 bicubic bilinear +5.215 +5.641 +1.628 +1.526 -6 +13
87 resnest50d_1s4x24d ssl_resnext101_32x8d 86.491 86.807 13.509 13.193 97.109 97.466 2.891 2.534 25.68 88.79 224 0.875 bicubic bilinear +5.553 +5.191 +1.791 +1.428 +2 0
88 gluon_resnet152_v1s tf_efficientnet_lite4 86.464 86.803 13.536 13.197 97.120 97.263 2.880 2.737 60.32 13.01 224 380 0.875 0.920 bicubic bilinear +5.444 +5.267 +1.694 +1.595 -1
89 ecaresnet50d vit_base_patch16_224 86.438 86.778 13.562 13.223 97.214 97.438 2.786 2.562 25.58 86.57 224 0.875 0.900 bicubic +5.824 +4.992 +1.900 +1.316 +10 -8
90 repvgg_b3g4 tresnet_l 86.412 86.767 13.588 13.233 97.062 97.271 2.938 2.729 83.83 55.99 224 0.875 bilinear +6.174 +5.277 +1.994 +1.647 +29 0
91 gernet_m seresnext50_32x4d 86.355 86.699 13.645 13.301 97.141 97.214 2.859 2.786 21.14 27.56 224 0.875 bilinear bicubic +5.625 +5.433 +1.929 +1.594 +4 +6
92 legacy_senet154 pit_b_224 86.336 86.686 13.664 13.314 96.970 96.898 3.030 3.102 115.09 73.76 224 0.875 0.900 bilinear bicubic +5.014 +4.240 +1.516 +1.188 -13 -26
93 efficientnet_b2a tf_efficientnet_b1_ns 86.291 86.669 13.709 13.331 96.975 97.378 3.025 2.622 9.11 7.79 288 240 1.000 0.882 bicubic +5.683 +5.281 +1.677 +1.640 +7 -1
94 ecaresnet101d_pruned swin_tiny_patch4_window7_224 86.287 86.664 13.713 13.336 97.248 97.197 2.752 2.803 24.88 28.29 224 0.875 0.900 bicubic +5.401 +5.286 +1.676 +1.657 -4 -1
95 gluon_senet154 gernet_l 86.278 86.654 13.722 13.346 96.960 97.186 3.040 2.814 115.09 31.08 224 256 0.875 bicubic bilinear +5.062 +5.300 +1.640 +1.650 -12 -1
96 resnest50d wide_resnet50_2 86.276 86.647 13.724 13.353 97.056 97.214 2.944 2.786 27.48 68.88 224 0.875 bilinear bicubic +5.306 +5.191 +1.706 +1.682 -8 -5
97 cspdarknet53 efficientnet_el 86.180 86.635 13.820 13.366 96.990 97.175 3.010 2.825 27.64 10.59 256 300 0.887 0.904 bilinear bicubic +6.130 +5.319 +1.914 +1.649 +28 -2
98 resnetv2_50x1_bitm nf_resnet50 86.160 86.617 13.839 13.383 97.551 97.282 2.449 2.718 25.55 25.56 480 288 1.000 0.940 bilinear bicubic +6.008 +5.923 +1.907 +1.926 +26 +16
99 inception_v4 resnest50d_4s2x40d 86.150 86.592 13.850 13.408 96.941 97.269 3.059 2.731 42.68 30.42 299 224 0.875 bicubic +5.996 +5.484 +1.978 +1.711 +23 +2
100 rexnet_150 efficientnet_b3_pruned 86.133 86.581 13.867 13.419 97.049 97.190 2.951 2.810 9.73 9.86 224 300 0.875 0.904 bicubic +5.783 +5.723 +1.847 +1.948 +10 +9
101 inception_resnet_v2 repvgg_b3 86.129 86.566 13.871 13.434 97.030 97.139 2.970 2.861 55.84 123.09 299 224 0.897 0.875 bicubic bilinear +5.681 +6.074 +1.738 +1.879 +3 +18
102 tresnet_m ssl_resnext101_32x4d 86.126 86.479 13.874 13.521 96.639 97.468 3.361 2.532 31.39 44.18 224 0.875 bilinear +5.406 +5.555 +1.783 +1.740 -6 +4
103 ssl_resnext50_32x4d ecaresnet50d 86.103 86.470 13.897 13.530 97.190 97.186 2.810 2.814 25.03 25.58 224 0.875 bilinear bicubic +5.771 +5.878 +1.808 +1.866 +8 +14
104 tf_efficientnet_el gluon_resnet152_v1s 86.092 86.468 13.908 13.532 96.977 97.109 3.023 2.891 10.59 60.32 300 224 0.904 0.875 bicubic +5.800 +5.452 +1.857 +1.697 +12 -1
105 gluon_resnet101_v1s resnest50d_1s4x24d 86.067 86.447 13.933 13.553 97.101 97.148 2.899 2.852 44.67 25.68 224 0.875 bicubic +5.771 +5.459 +1.925 +1.826 +9 -1
106 gluon_seresnext101_32x4d repvgg_b3g4 86.056 86.363 13.944 13.637 96.966 97.054 3.034 2.946 48.96 83.83 224 0.875 bicubic bilinear +5.178 +6.151 +1.692 +1.944 -15 +31
107 ecaresnetlight legacy_senet154 86.049 86.342 13.950 13.658 97.086 96.928 2.914 3.072 30.16 115.09 224 0.875 bicubic bilinear +5.590 +5.032 +1.884 +1.432 -4 -11
108 ecaresnet26t gernet_m 86.030 86.319 13.970 13.681 97.039 97.096 2.961 2.904 16.01 21.14 320 224 0.950 0.875 bicubic bilinear +6.146 +5.587 +1.967 +1.912 +23 +5
109 efficientnet_b2 pit_s_224 86.024 86.316 13.976 13.684 96.872 97.045 3.128 2.955 9.11 23.46 260 224 0.875 0.900 bicubic +5.710 +5.222 +1.760 +1.713 +3 -7
110 gluon_seresnext101_64x4d efficientnet_b2a 85.983 86.304 14.017 13.696 96.981 96.990 3.019 3.010 88.23 9.11 224 288 0.875 1.000 bicubic +5.131 +5.692 +1.645 +1.672 -18 +5
111 resnet50d gluon_senet154 85.962 86.278 14.038 13.722 96.970 96.949 3.030 3.051 25.58 115.09 224 0.875 bicubic +5.470 +5.044 +1.842 +1.601 -10 -13
112 tf_efficientnet_b2_ap resnest50d 85.936 86.240 14.064 13.761 96.778 97.073 3.222 2.927 9.11 27.48 260 224 0.890 0.875 bicubic bilinear +5.696 +5.266 +1.794 +1.695 +6 -7
113 seresnet50 ecaresnet101d_pruned 85.902 86.210 14.098 13.790 96.985 97.335 3.015 2.665 28.09 24.88 224 0.875 bicubic +5.610 +5.394 +1.937 +1.707 +2 -3
114 gluon_resnet152_v1d tresnet_m 85.898 86.199 14.102 13.801 96.849 96.667 3.151 3.333 60.21 31.39 224 0.875 bicubic bilinear +5.418 +5.397 +1.587 +1.807 -12 -2
115 vit_large_patch32_384 efficientnet_el_pruned 85.896 86.192 14.104 13.807 97.391 97.026 2.609 2.974 306.63 10.59 384 300 1.000 0.904 bicubic +4.390 +5.892 +1.283 +1.808 -40 +16
116 tf_efficientnet_b2 cspdarknet53 85.872 86.182 14.128 13.818 96.891 97.013 3.109 2.987 9.11 27.64 260 256 0.890 0.887 bicubic bilinear +5.848 +6.124 +1.947 +1.929 +11 +27
117 repvgg_b2g4 inception_v4 85.859 86.169 14.140 13.831 96.817 96.919 3.183 3.081 61.76 42.68 224 299 0.875 bilinear bicubic +6.456 +6.001 +2.111 +1.951 +37 +22
118 mixnet_xl rexnet_150 85.806 86.154 14.194 13.846 96.674 97.058 3.326 2.942 11.90 9.73 224 0.875 bicubic +5.382 +5.844 +1.786 +1.892 -11 +10
119 ens_adv_inception_resnet_v2 resnetv2_50x1_bitm 85.787 86.154 14.213 13.846 96.770 97.560 3.230 2.440 55.84 25.55 299 480 0.897 1.000 bicubic bilinear +5.857 +5.982 +1.820 +1.934 +11 +20
120 resnet50 inception_resnet_v2 85.783 86.133 14.217 13.867 96.740 97.043 3.260 2.957 25.56 55.84 224 299 0.875 0.897 bicubic +6.779 +5.675 +2.348 +1.737 +55 +3
121 tf_efficientnet_lite3 ssl_resnext50_32x4d 85.763 86.086 14.237 13.914 96.864 97.212 3.136 2.788 8.20 25.03 300 224 0.904 0.875 bilinear +6.005 +5.768 +2.000 +1.806 +18 +7
122 cspresnext50 tf_efficientnet_el 85.738 86.084 14.262 13.916 96.827 96.964 3.173 3.036 20.57 10.59 224 300 0.875 0.904 bilinear bicubic +5.732 +5.834 +1.895 +1.836 +6 +12
123 gluon_resnext101_64x4d efficientnet_b2 85.721 86.056 14.279 13.944 96.674 96.917 3.326 3.083 83.46 9.11 224 260 0.875 bicubic +5.085 +5.664 +1.684 +1.841 -25 +2
124 legacy_seresnext101_32x4d gluon_resnet101_v1s 85.721 86.054 14.279 13.946 96.736 97.022 3.264 2.978 48.96 44.67 224 0.875 bilinear bicubic +5.439 +5.752 +1.712 +1.862 -7 +6
125 regnety_320 ecaresnetlight 85.721 86.052 14.279 13.948 96.757 97.069 3.243 2.931 145.05 30.16 224 0.875 bicubic +4.939 +5.590 +1.495 +1.819 -31 -3
126 cspresnet50 gluon_seresnext101_32x4d 85.716 86.032 14.284 13.968 96.793 96.977 3.207 3.023 21.62 48.96 256 224 0.887 0.875 bilinear bicubic +6.134 +5.128 +2.081 +1.683 +22 -19
127 efficientnet_em resnet50d 85.701 86.009 14.299 13.991 96.951 96.979 3.049 3.021 6.90 25.58 240 224 0.882 0.875 bicubic +6.471 +5.479 +2.159 +1.819 +36 -9
128 vit_deit_small_patch16_224 ecaresnet26t 85.699 85.983 14.301 14.017 96.925 97.041 3.075 2.959 22.05 16.01 224 320 0.900 0.950 bicubic +5.831 +6.129 +1.883 +1.957 +5 +26
129 gluon_resnet101_v1d tf_efficientnet_b2_ap 85.686 85.975 14.313 14.025 96.689 96.810 3.312 3.190 44.57 9.11 224 260 0.875 0.890 bicubic +5.256 +5.675 +1.675 +1.782 -23 +3
130 xception71 gluon_seresnext101_64x4d 85.667 85.960 14.333 14.040 96.791 96.979 3.209 3.021 42.34 88.23 299 224 0.903 0.875 bicubic +5.821 +5.066 +1.855 +1.671 +6 -22
131 gluon_resnext101_32x4d gluon_resnet152_v1d 85.661 85.917 14.339 14.083 96.629 96.812 3.371 3.188 44.18 60.21 224 0.875 bicubic +5.443 +1.721 +1.606 -11 -10
132 ese_vovnet39b vit_large_patch32_384 85.650 85.909 14.350 14.091 96.862 97.368 3.139 2.632 24.57 306.63 224 384 0.875 1.000 bicubic +6.444 +4.403 +2.134 +1.276 +34 -43
133 dpn107 tf_efficientnet_b2 85.640 85.902 14.360 14.098 96.710 96.862 3.290 3.139 86.92 9.11 224 260 0.875 0.890 bicubic +5.460 +5.816 +1.804 +1.954 -12 +9
134 ecaresnet50d_pruned seresnet50 85.603 85.857 14.397 14.143 96.943 97.004 3.057 2.995 19.94 28.09 224 0.875 bicubic +5.927 +5.583 +2.021 +1.934 +11 -1
135 resnext50d_32x4d repvgg_b2g4 85.588 85.855 14.412 14.145 96.744 96.812 3.256 3.188 25.05 61.76 224 0.875 bicubic bilinear +5.900 +6.489 +1.900 +2.124 +9 +36
136 efficientnet_b2_pruned gluon_resnet101_v1d 85.576 85.849 14.425 14.151 96.770 96.663 3.230 3.337 8.31 44.57 260 224 0.890 0.875 bicubic +5.744 +5.435 +1.964 +1.649 +2 -12
137 regnety_120 resnet50 85.571 85.804 14.429 14.196 96.761 96.712 3.239 3.288 51.82 25.56 224 0.875 bicubic +5.197 +6.766 +1.653 +2.322 -28 +56
138 regnetx_320 mixnet_xl 85.556 85.798 14.444 14.202 96.676 96.712 3.324 3.288 107.81 11.90 224 0.875 bicubic +5.242 +5.322 +1.608 +1.776 -25 -18
139 regnety_160 ens_adv_inception_resnet_v2 85.535 85.781 14.465 14.220 96.680 96.759 3.320 3.241 83.59 55.84 224 299 0.875 0.897 bicubic +5.121 +5.799 +1.700 +1.823 -31 +7
140 gluon_resnet152_v1c tf_efficientnet_lite3 85.524 85.755 14.476 14.245 96.650 96.887 3.350 3.113 60.21 8.20 224 300 0.875 0.904 bicubic bilinear +5.674 +5.935 +1.760 +1.973 -5 +16
141 rexnet_130 ese_vovnet39b 85.524 85.751 14.476 14.249 96.663 96.891 3.337 3.109 7.56 24.57 224 0.875 bicubic +6.008 +6.431 +2.003 +2.179 +10 +32
142 gluon_resnet152_v1b gluon_resnext101_32x4d 85.520 85.746 14.480 14.254 96.554 96.635 3.446 3.365 60.19 44.18 224 0.875 bicubic +5.886 +5.412 +1.796 +1.709 +4 -15
143 nf_regnet_b1 legacy_seresnext101_32x4d 85.488 85.746 14.512 14.254 96.799 96.757 3.200 3.243 10.22 48.96 288 224 0.900 0.875 bicubic bilinear +6.164 +5.518 +2.027 +1.739 +13 -7
144 dpn92 cspresnext50 85.471 85.740 14.529 14.260 96.629 96.840 3.371 3.160 37.67 20.57 224 0.875 bicubic bilinear +5.437 +5.700 +1.811 +1.896 -18 0
145 dpn131 regnety_320 85.441 85.727 14.559 14.273 96.590 96.725 3.410 3.275 79.25 145.05 224 0.875 bicubic +5.575 +4.915 +1.864 +1.481 -11 -34
146 regnetx_160 cspresnet50 85.426 85.721 14.574 14.279 96.665 96.795 3.335 3.205 54.28 21.62 224 256 0.875 0.887 bicubic bilinear +5.542 +6.147 +1.839 +2.083 -14 +19
147 dla102x2 xception71 85.383 85.697 14.617 14.303 96.599 96.776 3.401 3.224 41.28 42.34 224 299 0.875 0.903 bilinear bicubic +5.955 +5.823 +1.971 +1.854 +6 +4
148 xception65 gluon_resnext101_64x4d 85.353 85.693 14.646 14.307 96.629 96.644 3.371 3.356 39.92 83.46 299 224 0.903 0.875 bicubic +5.761 +5.089 +1.971 +1.656 -1 -32
149 gluon_seresnext50_32x4d efficientnet_em 85.317 85.684 14.683 14.316 96.723 96.938 3.277 3.062 27.56 6.90 224 240 0.875 0.882 bicubic +5.369 +6.432 +1.887 +2.144 -20 +33
150 dpn98 vit_deit_small_patch16_224 85.315 85.678 14.685 14.322 96.501 96.906 3.499 3.094 61.57 22.05 224 0.875 0.900 bicubic +5.627 +5.822 +1.857 +1.854 -7 +3
151 regnety_080 pit_xs_distilled_224 85.315 85.657 14.685 14.343 96.663 96.667 3.337 3.333 39.18 11.00 224 0.875 0.900 bicubic +5.475 +6.351 +1.815 +2.303 -14 +27
152 skresnext50_32x4d efficientnet_b2_pruned 85.311 85.642 14.689 14.358 96.362 96.746 3.638 3.254 27.48 8.31 224 260 0.875 0.890 bicubic +5.157 +5.726 +1.660 +1.890 -29 -4
153 regnety_064 dpn107 85.291 85.640 14.709 14.360 96.650 96.729 3.350 3.271 30.58 86.92 224 0.875 bicubic +5.555 +5.484 +1.892 +2.087 -12
154 dpn68b ecaresnet50d_pruned 85.262 85.580 14.738 14.420 96.449 96.936 3.551 3.064 12.61 19.94 224 0.875 bicubic +6.122 +5.864 +2.025 +2.056 +14 +5
155 resnetblur50 gluon_resnet152_v1c 85.247 85.580 14.753 14.420 96.565 96.646 3.435 3.354 25.56 60.21 224 0.875 bicubic +5.985 +5.670 +1.943 +1.806 +5 -6
156 gluon_resnet101_v1c resnext50d_32x4d 85.230 85.569 14.770 14.431 96.481 96.748 3.519 3.252 44.57 25.05 224 0.875 bicubic +5.680 +5.893 +1.839 +1.882 -6 +6
157 gluon_inception_v3 regnety_120 85.228 85.543 14.773 14.457 96.533 96.785 3.467 3.215 23.83 51.82 299 224 0.875 bicubic +6.398 +5.177 +2.135 +1.659 +25 -31
158 resnext101_32x8d regnetx_320 85.223 85.524 14.777 14.476 96.492 96.669 3.508 3.331 88.79 107.81 224 0.875 bilinear bicubic +6.013 +5.278 +1.936 +1.643 +7 -23
159 resnext50_32x4d nf_regnet_b1 85.200 85.499 14.800 14.501 96.505 96.799 3.495 3.200 25.03 10.22 224 288 0.875 0.900 bicubic +5.478 +6.193 +1.899 +2.051 -17 +18
160 hrnet_w64 dpn92 85.191 85.494 14.809 14.506 96.721 96.635 3.280 3.365 128.06 37.67 224 0.875 bilinear bicubic +5.703 +5.486 +2.082 +1.797 -8 -15
161 gluon_xception65 gluon_resnet152_v1b 85.170 85.475 14.830 14.525 96.595 96.550 3.405 3.450 39.92 60.19 299 224 0.903 0.875 bicubic +5.414 +5.789 +1.743 +1.814 -21 0
162 ssl_resnet50 rexnet_130 85.161 85.473 14.839 14.527 96.868 96.684 3.132 3.316 25.56 7.56 224 0.875 bilinear bicubic +5.921 +5.973 +1.954 +2.002 -1 +6
163 gluon_resnet101_v1b dpn131 85.155 85.398 14.845 14.602 96.379 96.639 3.621 3.361 44.55 79.25 224 0.875 bicubic +5.795 +5.576 +1.871 +1.929 -8
164 hrnet_w48 regnetx_160 85.153 85.390 14.847 14.610 96.477 96.637 3.523 3.363 77.47 54.28 224 0.875 bilinear bicubic +5.917 +5.534 +1.955 +1.807 -2 -12
165 xception dla102x2 85.146 85.366 14.854 14.634 96.496 96.629 3.504 3.371 22.86 41.28 299 224 0.897 0.875 bicubic bilinear +6.118 +5.918 +2.126 +1.989 +9 +5
166 tf_efficientnet_b1_ap gluon_seresnext50_32x4d 85.140 85.336 14.860 14.664 96.411 96.667 3.589 3.333 7.79 27.56 240 224 0.882 0.875 bicubic +5.850 +5.418 +2.085 +1.845 -8 -19
167 regnetx_120 xception65 85.104 85.315 14.896 14.685 96.473 96.637 3.527 3.363 46.11 39.92 224 299 0.875 0.903 bicubic +5.530 +5.763 +1.781 +1.983 -18 -1
168 res2net101_26w_4s skresnext50_32x4d 85.095 85.313 14.905 14.687 96.326 96.390 3.674 3.610 45.21 27.48 224 0.875 bilinear bicubic +5.975 +5.157 +1.894 +1.480 +2 -28
169 tf_efficientnet_cc_b1_8e dpn98 85.065 85.311 14.935 14.689 96.417 96.469 3.583 3.531 39.72 61.57 240 224 0.882 0.875 bicubic +5.777 +5.669 +2.059 +1.871 -10 -6
170 gluon_resnext50_32x4d gluon_resnet101_v1c 85.050 85.304 14.950 14.696 96.462 96.405 3.538 3.595 25.03 44.57 224 0.875 bicubic +5.730 +5.770 +1.962 +1.827 -13 -3
171 res2net50_26w_8s dpn68b 85.010 85.291 14.990 14.709 96.471 96.464 3.529 3.536 48.40 12.61 224 0.875 bilinear bicubic +5.880 +6.076 +2.067 +2.050 -2 +14
172 hrnet_w44 resnetblur50 84.988 85.283 15.012 14.717 96.479 96.531 3.521 3.470 67.06 25.56 224 0.875 bilinear bicubic +6.102 +5.997 +2.069 +1.892 +7
173 tf_efficientnet_b0_ns regnety_064 84.980 85.283 15.020 14.717 96.535 96.639 3.465 3.361 5.29 30.58 224 0.875 bicubic +6.380 +5.561 +2.147 +1.871 +16 -14
174 dla169 regnety_080 84.961 85.245 15.039 14.755 96.494 96.633 3.506 3.367 53.39 39.18 224 0.875 bilinear bicubic +6.229 +5.369 +2.160 +1.803 +11 -24
175 regnety_040 resnext50_32x4d 84.952 85.221 15.048 14.779 96.633 96.526 3.367 3.474 20.65 25.03 224 0.875 bicubic +5.736 +5.453 +1.971 +1.928 -11 -18
176 tf_efficientnet_b1 resnext101_32x8d 84.948 85.187 15.052 14.813 96.351 96.445 3.649 3.555 7.79 88.79 240 224 0.882 0.875 bicubic bilinear +6.116 +5.879 +2.145 +1.927 +5 -2
177 resnest26d gluon_inception_v3 84.939 85.183 15.061 14.817 96.588 96.526 3.412 3.474 17.07 23.83 224 299 0.875 bilinear bicubic +6.499 +6.377 +2.292 +2.156 +19 +22
178 legacy_seresnext50_32x4d hrnet_w48 84.937 85.151 15.063 14.849 96.484 96.492 3.517 3.508 27.56 77.47 224 0.875 bilinear +5.829 +5.851 +2.006 +1.980 -7 +1
179 gluon_resnet50_v1s gluon_xception65 84.903 85.148 15.097 14.851 96.486 96.597 3.514 3.403 25.68 39.92 224 299 0.875 0.903 bicubic +6.115 +5.433 +2.246 +1.737 +5 -19
180 dla60_res2net gluon_resnet101_v1b 84.865 85.142 15.136 14.858 96.430 96.366 3.570 3.634 20.85 44.55 224 0.875 bilinear bicubic +6.343 +5.836 +2.178 +1.842 +11 -4
181 dla102x regnetx_120 84.845 85.131 15.155 14.869 96.539 96.477 3.461 3.523 26.31 46.11 224 0.875 bilinear bicubic +6.317 +5.535 +2.333 +1.739 +9 -17
182 mixnet_l xception 84.832 85.129 15.168 14.871 96.306 96.471 3.694 3.529 7.33 22.86 224 299 0.875 0.897 bicubic +5.900 +6.077 +2.122 +2.079 -6 +10
183 gluon_resnet50_v1d tf_efficientnet_b1_ap 84.824 85.127 15.176 14.873 96.439 96.405 3.561 3.595 25.58 7.79 224 240 0.875 0.882 bicubic +5.752 +5.847 +1.961 +2.099 -10 -2
184 regnetx_080 hrnet_w64 84.822 85.119 15.178 14.881 96.473 96.744 3.527 3.256 39.57 128.06 224 0.875 bicubic bilinear +5.648 +5.645 +1.917 +2.092 -17 -15
185 regnetx_064 ssl_resnet50 84.813 85.097 15.187 14.903 96.526 96.866 3.474 3.134 26.21 25.56 224 0.875 bicubic bilinear +5.735 +5.875 +2.066 +2.034 -13 -2
186 xception41 res2net101_26w_4s 84.805 85.093 15.195 14.907 96.415 96.381 3.585 3.619 26.97 45.21 299 224 0.903 0.875 bicubic bilinear +6.309 +5.895 +2.159 +1.949 +7 +1
187 repvgg_b2 tf_efficientnet_cc_b1_8e 84.777 85.063 15.223 14.937 96.411 96.422 3.589 3.578 89.02 39.72 224 240 0.875 0.882 bilinear bicubic +5.895 +5.755 +2.065 +2.052 -7 -12
188 tv_resnet152 res2net50_26w_8s 84.775 85.029 15.225 14.971 96.174 96.419 3.826 3.580 60.19 48.40 224 0.875 bilinear +6.525 +5.831 +2.192 +2.052 +13 -2
189 dla60_res2next resnest26d 84.766 85.008 15.234 14.992 96.426 96.637 3.574 3.363 17.03 17.07 224 0.875 bilinear +6.444 +6.530 +2.236 +2.339 +10 +22
190 hrnet_w40 gluon_resnext50_32x4d 84.764 84.995 15.236 15.005 96.552 96.426 3.448 3.574 57.56 25.03 224 0.875 bilinear bicubic +5.858 +5.641 +2.118 +2.000 -12 -18
191 res2net50_26w_6s tf_efficientnet_b0_ns 84.758 84.984 15.242 15.016 96.330 96.503 3.670 3.497 37.05 5.29 224 0.875 bilinear bicubic +6.154 +6.326 +2.166 +2.127 -3 +15
192 selecsls60b regnety_040 84.698 84.948 15.302 15.052 96.345 96.612 3.655 3.388 32.77 20.65 224 0.875 bicubic +6.202 +5.728 +2.153 +1.956 0 -8
193 legacy_seresnet152 dla169 84.681 84.920 15.319 15.080 96.377 96.535 3.623 3.465 66.82 53.39 224 0.875 bilinear +6.037 +6.232 +1.987 +2.199 -7 +11
194 tf_mixnet_l tf_efficientnet_b1 84.649 84.918 15.351 15.082 96.217 96.364 3.783 3.636 7.33 7.79 224 240 0.875 0.882 bicubic +5.847 +6.092 +2.163 +2.166 -11 +4
195 regnetx_040 legacy_seresnext50_32x4d 84.634 84.901 15.366 15.099 96.432 96.434 3.568 3.566 22.12 27.56 224 0.875 bicubic bilinear +6.140 +5.823 +2.162 +1.998 -1 -6
196 wide_resnet101_2 hrnet_w44 84.604 84.884 15.396 15.116 96.373 96.434 3.627 3.566 126.89 67.06 224 0.875 bilinear +5.694 +5.988 +2.029 +2.066 -19 0
197 hrnet_w32 gluon_resnet50_v1s 84.596 84.862 15.405 15.138 96.434 96.443 3.566 3.557 41.23 25.68 224 0.875 bilinear bicubic +6.171 +6.152 +2.232 +2.205 0 +5
198 efficientnet_es regnetx_080 84.576 84.862 15.424 15.138 96.298 96.434 3.702 3.566 5.44 39.57 224 0.875 bicubic +6.544 +5.668 +2.398 +1.874 +11 -10
199 efficientnet_b1 gluon_resnet50_v1d 84.546 84.832 15.454 15.168 96.148 96.398 3.852 3.602 7.79 25.58 240 224 0.875 bicubic +5.942 +5.758 +2.054 +1.928 -12 -9
200 dla60x dla60_res2next 84.544 84.830 15.456 15.170 96.244 96.411 3.756 3.589 17.35 17.03 224 0.875 bilinear +6.318 +6.390 +2.256 +2.259 +2 +14
201 hrnet_w30 mixnet_l 84.531 84.822 15.469 15.178 96.432 96.328 3.568 3.672 37.71 7.33 224 0.875 bilinear bicubic +6.397 +5.846 +2.240 +2.146 +4 -7
202 legacy_seresnet101 tv_resnet152 84.521 84.815 15.479 15.185 96.330 96.225 3.670 3.775 49.33 60.19 224 0.875 bilinear +6.101 +6.503 +2.156 +2.187 -4 +16
203 repvgg_b1 dla60_res2net 84.467 84.813 15.533 15.187 96.296 96.481 3.704 3.519 57.42 20.85 224 0.875 bilinear +6.025 +6.349 +2.138 +2.275 -8 +9
204 tf_efficientnet_em dla102x 84.467 84.813 15.533 15.187 96.185 96.552 3.815 3.448 6.90 26.31 240 224 0.882 0.875 bicubic bilinear +6.307 +6.303 +2.139 +2.324 -1 +5
205 efficientnet_b1_pruned xception41 84.420 84.792 15.580 15.208 96.123 96.413 3.877 3.587 6.33 26.97 240 299 0.882 0.903 bicubic +6.146 +6.276 +2.315 +2.135 -5 +2
206 res2net50_26w_4s pit_xs_224 84.369 84.792 15.631 15.208 96.097 96.492 3.903 3.508 25.70 10.62 224 0.875 0.900 bilinear bicubic +6.403 +6.610 +2.267 +2.324 +4 +18
207 res2net50_14w_8s regnetx_064 84.322 84.781 15.678 15.219 96.080 96.490 3.920 3.510 25.06 26.21 224 0.875 bilinear bicubic +6.204 +5.709 +2.244 +2.032 -1 -16
208 regnetx_032 hrnet_w40 84.314 84.743 15.686 15.257 96.249 96.554 3.751 3.446 15.30 57.56 224 0.875 bicubic bilinear +6.166 +5.823 +2.183 +2.084 -4 -13
209 dla102 res2net50_26w_6s 84.271 84.726 15.729 15.274 96.165 96.281 3.835 3.719 33.27 37.05 224 0.875 bilinear +6.217 +6.156 +2.247 +2.157 -1 -2
210 rexnet_100 repvgg_b2 84.192 84.724 15.808 15.276 96.212 96.469 3.788 3.531 4.80 89.02 224 0.875 bicubic bilinear +6.306 +5.932 +2.354 +2.055 +4 -10
211 res2next50 legacy_seresnet152 84.160 84.704 15.840 15.296 96.031 96.417 3.969 3.583 24.67 66.82 224 0.875 bilinear +6.080 +6.044 +2.079 +2.047 -4 -6
212 res2net50_48w_2s selecsls60b 84.154 84.657 15.846 15.343 95.978 96.300 4.022 3.700 25.29 32.77 224 0.875 bilinear bicubic +6.636 +6.245 +2.396 +2.126 +13 +3
213 gluon_resnet50_v1c hrnet_w32 84.132 84.651 15.868 15.349 96.198 96.407 3.803 3.593 25.58 41.23 224 0.875 bicubic bilinear +6.206 +6.201 +2.192 +2.221 -2 0
214 selecsls60 regnetx_040 84.128 84.600 15.872 15.400 96.106 96.383 3.894 3.617 30.67 22.12 224 0.875 bicubic +6.214 +6.118 +2.284 +2.139 -1 -4
215 resnet34d efficientnet_es 84.107 84.591 15.893 15.409 95.980 96.311 4.020 3.689 21.82 5.44 224 0.875 bicubic +7.011 +6.525 +2.556 +2.385 +22 +13
216 tf_inception_v3 hrnet_w30 84.077 84.572 15.923 15.428 95.922 96.388 4.078 3.612 23.83 37.71 299 224 0.875 bicubic bilinear +6.273 +6.366 +2.198 +2.166 +1 +6
217 gluon_resnet50_v1b tf_mixnet_l 84.047 84.564 15.953 15.437 95.995 96.244 4.005 3.756 25.56 7.33 224 0.875 bicubic +6.383 +5.790 +2.321 +2.246 +2 -16
218 tf_efficientnet_lite2 wide_resnet101_2 84.045 84.557 15.955 15.443 96.118 96.349 3.881 3.651 6.09 126.89 260 224 0.890 0.875 bicubic bilinear +6.605 +5.701 +2.356 +2.067 +9 -21
219 efficientnet_b0 efficientnet_b1 84.019 84.531 15.981 15.469 95.909 96.153 4.091 3.847 5.29 7.79 224 240 0.875 bicubic +6.409 +5.834 +2.345 +2.009 +3 -16
220 tv_resnext50_32x4d dla60x 84.019 84.523 15.981 15.477 95.982 96.285 4.018 3.715 25.03 17.35 224 0.875 bilinear +6.391 +6.277 +2.302 +2.267 0 -1
221 tf_efficientnet_cc_b0_8e legacy_seresnet101 83.957 84.504 16.043 15.496 96.025 96.330 3.975 3.670 24.01 49.33 224 0.875 bicubic bilinear +6.031 +6.122 +2.427 +2.066 -9 -5
222 mobilenetv2_120d tf_efficientnet_em 83.908 84.450 16.092 15.550 95.913 96.180 4.087 3.820 5.83 6.90 224 240 0.875 0.882 bicubic +6.580 +6.320 +2.436 +2.136 +8 +4
223 densenet161 repvgg_b1 83.891 84.416 16.109 15.584 95.995 96.221 4.005 3.779 28.68 57.42 224 0.875 bicubic bilinear +6.553 +6.050 +2.307 +2.123 +6 -6
224 adv_inception_v3 efficientnet_b1_pruned 83.880 84.393 16.120 15.607 95.926 96.140 4.074 3.860 23.83 6.33 299 240 0.875 0.882 bicubic +6.318 +6.157 +2.240 +2.306 -1 -3
225 regnety_016 res2net50_26w_4s 83.863 84.365 16.137 15.635 96.033 96.082 3.967 3.918 11.20 25.70 224 0.875 bicubic bilinear +6.059 +6.401 +2.383 +2.228 -7 +8
226 tv_resnet101 hardcorenas_f 83.861 84.326 16.139 15.674 95.860 96.025 4.140 3.975 44.55 8.20 224 0.875 bilinear +6.547 +6.222 +2.304 +2.222 +6 +1
227 seresnext26t_32x4d res2net50_14w_8s 83.825 84.309 16.175 15.691 95.922 96.072 4.078 3.929 16.81 25.06 224 0.875 bicubic bilinear +5.995 +6.159 +2.194 +2.224 -11 -2
228 seresnext26d_32x4d selecsls60 83.742 84.288 16.259 15.712 95.867 96.095 4.133 3.905 16.81 30.67 224 0.875 bicubic +6.224 +6.306 +2.261 +2.267 -2 +4
229 vit_small_patch16_224 regnetx_032 83.735 84.237 16.265 15.763 95.762 96.247 4.238 3.753 48.75 15.30 224 0.900 0.875 bicubic +5.863 +6.065 +2.370 +2.159 -14 -5
230 inception_v3 res2next50 83.705 84.226 16.295 15.774 95.884 95.997 4.116 4.003 23.83 24.67 299 224 0.875 bicubic bilinear +6.295 +5.980 +2.410 +2.105 -2 -10
231 dla60 gluon_resnet50_v1c 83.697 84.207 16.303 15.793 95.967 96.161 4.033 3.839 22.04 25.58 224 0.875 bilinear bicubic +6.773 +6.195 +2.677 +2.173 +9 -1
232 repvgg_b1g4 dla102 83.697 84.190 16.303 15.810 96.029 96.206 3.971 3.794 39.97 33.27 224 0.875 bilinear +6.157 +6.158 +2.235 +2.260 -8 -3
233 tf_efficientnet_b0_ap rexnet_100 83.645 84.162 16.355 15.838 95.762 96.255 4.238 3.745 5.29 4.80 224 0.875 bicubic +6.573 +6.304 +2.500 +2.617 +5 +4
234 skresnet34 tf_inception_v3 83.639 84.132 16.361 15.868 95.903 95.920 4.097 4.080 22.28 23.83 224 299 0.875 bicubic +6.729 +6.274 +2.631 +2.504 +8 +4
235 densenet201 res2net50_48w_2s 83.615 84.126 16.384 15.874 95.835 95.965 4.165 4.035 20.01 25.29 224 0.875 bicubic bilinear +6.296 +6.604 +2.353 +2.411 -4 +12
236 tf_efficientnet_cc_b0_4e resnet34d 83.609 84.098 16.391 15.902 95.775 95.978 4.225 4.022 13.31 21.82 224 0.875 bicubic +6.313 +6.982 +2.415 +2.596 -3 +22
237 hrnet_w18 tf_efficientnet_lite2 83.584 84.094 16.416 15.906 95.926 96.069 4.074 3.931 21.30 6.09 224 260 0.875 0.890 bilinear bicubic +6.752 +6.626 +2.522 +2.315 +7 +11
238 legacy_seresnet50 efficientnet_b0 83.579 84.038 16.421 15.962 96.093 95.956 3.907 4.044 28.09 5.29 224 0.875 bilinear bicubic +5.967 +6.340 +2.297 +2.424 -17 +2
239 legacy_seresnext26_32x4d hardcorenas_e 83.509 83.968 16.491 16.032 95.745 95.898 4.255 4.101 16.79 8.07 224 0.875 bicubic bilinear +6.393 +6.174 +2.387 +2.204 -4 0
240 tf_efficientnet_b0 tf_efficientnet_cc_b0_8e 83.500 83.966 16.500 16.034 95.709 96.065 4.292 3.935 5.29 24.01 224 0.875 bicubic +6.670 +6.058 +2.436 +2.411 +5 -6
241 gernet_s tv_resnext50_32x4d 83.492 83.959 16.508 16.041 95.787 95.960 4.213 4.040 8.17 25.03 224 0.875 bilinear +6.618 +6.339 +2.659 +2.264 +2 +1
242 selecsls42b regnety_016 83.492 83.955 16.508 16.045 95.779 96.005 4.221 3.995 32.46 11.20 224 0.875 bicubic +6.396 +6.093 +2.387 +2.285 -6 -7
243 mixnet_m gluon_resnet50_v1b 83.485 83.940 16.515 16.060 95.696 96.012 4.304 3.988 5.01 25.56 224 0.875 bicubic +6.309 +6.360 +2.270 +2.296 -9 +3
244 densenetblur121d densenet161 83.394 83.906 16.607 16.094 95.798 96.010 4.202 3.990 8.00 28.68 224 0.875 bicubic +6.919 +6.548 +2.702 +2.372 +8
245 tf_efficientnet_lite1 adv_inception_v3 83.347 83.902 16.654 16.098 95.664 95.935 4.336 4.065 5.42 23.83 240 299 0.882 0.875 bicubic +6.719 +6.320 +2.416 +2.199 +2 0
246 ese_vovnet19b_dw mobilenetv2_120d 83.246 83.893 16.754 16.107 95.790 95.909 4.210 4.091 6.54 5.83 224 0.875 bicubic +6.474 +6.609 +2.514 +2.417 0 +9
247 regnetx_016 seresnext26t_32x4d 83.206 83.878 16.794 16.122 95.745 95.931 4.255 4.069 9.19 16.81 224 0.875 bicubic +6.292 +5.892 +2.373 +2.185 -6 -16
248 mobilenetv2_140 tv_resnet101 83.191 83.848 16.809 16.152 95.638 95.892 4.362 4.108 6.11 44.55 224 0.875 bicubic bilinear +6.653 +6.474 +2.694 +2.352 +2 +3
249 dpn68 inception_v3 83.189 83.761 16.811 16.239 95.632 95.879 4.368 4.121 12.61 23.83 224 299 0.875 bicubic +6.811 +6.323 +2.654 +2.403 +4 0
250 tf_mixnet_m hardcorenas_d 83.189 83.759 16.811 16.241 95.491 95.734 4.509 4.266 5.01 7.50 224 0.875 bicubic bilinear +6.225 +6.327 +2.279 +2.250 -11 0
251 tf_efficientnet_es seresnext26d_32x4d 83.178 83.754 16.822 16.246 95.595 95.849 4.405 4.151 5.44 16.81 224 0.875 bicubic +6.616 +6.152 +2.411 +2.241 -2 -8
252 repvgg_a2 vit_small_patch16_224 83.097 83.735 16.903 16.265 95.583 95.758 4.417 4.242 28.21 48.75 224 0.875 0.900 bilinear bicubic +6.609 +5.877 +2.561 +1.888 -1 -16
253 resnet26d dla60 82.977 83.729 17.023 16.271 95.647 95.933 4.353 4.067 16.01 22.04 224 0.875 bicubic bilinear +6.377 +6.697 +2.459 +2.615 -5 +9
254 tv_resnet50 repvgg_b1g4 82.945 83.699 17.055 16.301 95.523 96.020 4.477 3.980 25.56 39.97 224 0.875 bilinear +6.933 +6.105 +2.589 +2.194 +2 -10
255 densenet121 legacy_seresnet50 82.866 83.662 17.134 16.337 95.521 95.973 4.479 4.027 7.98 28.09 224 0.875 bicubic bilinear +7.336 +6.032 +2.905 +2.225 +7 -14
256 densenet169 tf_efficientnet_b0_ap 82.719 83.650 17.281 16.350 95.568 95.779 4.432 4.221 14.15 5.29 224 0.875 bicubic +6.769 +6.564 +2.574 +2.523 +1 +4
257 mixnet_s skresnet34 82.561 83.641 17.439 16.359 95.365 95.933 4.635 4.067 4.13 22.28 224 0.875 bicubic +6.499 +6.729 +2.539 +2.611 -2 +9
258 regnety_008 tf_efficientnet_cc_b0_4e 82.548 83.639 17.452 16.361 95.501 95.740 4.499 4.260 6.26 13.31 224 0.875 bicubic +6.224 +6.333 +2.401 +2.406 -4 -5
259 efficientnet_lite0 densenet201 82.367 83.556 17.634 16.444 95.294 95.811 4.706 4.189 4.65 20.01 224 0.875 bicubic +6.922 +6.270 +2.750 +2.333 +5 -5
260 resnest14d gernet_s 82.345 83.522 17.655 16.478 95.309 95.794 4.691 4.206 10.61 8.17 224 0.875 bilinear +6.757 +6.606 +2.821 +2.662 0 +5
261 mobilenetv3_rw legacy_seresnext26_32x4d 82.296 83.517 17.704 16.483 95.222 95.719 4.778 4.281 5.48 16.79 224 0.875 bicubic +6.754 +6.413 +2.546 +2.403 0 -2
262 semnasnet_100 mixnet_m 82.234 83.515 17.766 16.485 95.243 95.689 4.757 4.311 3.89 5.01 224 0.875 bicubic +6.808 +6.255 +2.695 +2.265 +3 -6
263 mobilenetv3_large_100 tf_efficientnet_b0 82.151 83.515 17.849 16.485 95.160 95.719 4.840 4.281 5.48 5.29 224 0.875 bicubic +6.441 +6.667 +2.664 +2.491 -5 +4
264 resnet34 hrnet_w18 82.119 83.500 17.881 16.500 95.115 95.907 4.885 4.093 21.80 21.30 224 0.875 bilinear +7.023 +6.742 +2.869 +2.463 +6 +5
265 mobilenetv2_110d densenetblur121d 82.080 83.472 17.920 16.527 95.068 95.822 4.932 4.178 4.52 8.00 224 0.875 bicubic +7.032 +6.885 +2.936 +2.630 +7 +8
266 resnet26 selecsls42b 82.055 83.457 17.945 16.543 95.277 95.745 4.723 4.255 16.00 32.46 224 0.875 bicubic +6.661 +6.283 +2.693 +2.355 0 -9
267 tf_mixnet_s tf_efficientnet_lite1 82.023 83.344 17.977 16.656 95.145 95.642 4.855 4.358 4.13 5.42 224 240 0.875 0.882 bicubic +6.365 +6.702 +2.527 +2.416 -8 +4
268 repvgg_b0 hardcorenas_c 82.012 83.342 17.988 16.658 95.128 95.706 4.872 4.294 15.82 5.52 224 0.875 bilinear +6.798 +6.288 +2.674 +2.548 -1 -7
269 vit_deit_tiny_distilled_patch16_224 regnetx_016 81.993 83.195 18.007 16.805 95.141 95.740 4.859 4.260 5.91 9.19 224 0.900 0.875 bicubic +7.499 +6.245 +3.257 +2.320 +11 -6
270 hrnet_w18_small_v2 mobilenetv2_140 81.989 83.182 18.011 16.818 95.158 95.689 4.842 4.311 15.60 6.11 224 0.875 bilinear bicubic +6.825 +6.666 +2.728 +2.693 -1 +5
271 tf_efficientnet_lite0 dpn68 81.884 83.178 18.116 16.822 95.126 95.597 4.874 4.402 4.65 12.61 224 0.875 bicubic +7.016 +6.860 +2.996 +2.620 +4 +6
272 tf_mobilenetv3_large_100 tf_efficientnet_es 81.848 83.178 18.152 16.822 95.057 95.585 4.943 4.415 5.48 5.44 224 0.875 bilinear bicubic +6.328 +6.584 +2.507 +2.383 -9 0
273 tv_densenet121 tf_mixnet_m 81.758 83.176 18.242 16.824 94.993 95.461 5.007 4.539 7.98 5.01 224 0.875 bicubic +7.012 +6.234 +2.863 +2.309 +3 -9
274 dla34 ese_vovnet19b_dw 81.668 83.109 18.332 16.890 94.908 95.779 5.092 4.221 15.74 6.54 224 0.875 bilinear bicubic +7.032 +6.311 +2.786 +2.511 +4 -6
275 regnety_006 resnet26d 81.641 83.050 18.359 16.950 95.119 95.604 4.881 4.396 6.06 16.01 224 0.875 bicubic +6.435 +6.354 +2.559 +2.454 -7 -5
276 legacy_seresnet34 repvgg_a2 81.626 83.001 18.374 16.999 94.938 95.589 5.062 4.411 21.96 28.21 224 0.875 bilinear +6.714 +6.541 +2.774 +2.585 -2 0
277 fbnetc_100 tv_resnet50 81.544 82.958 18.456 17.042 94.953 95.467 5.047 4.533 5.57 25.56 224 0.875 bilinear +6.463 +6.820 +2.599 +2.603 -6 +2
278 mnasnet_100 hardcorenas_b 81.453 82.873 18.547 17.128 94.946 95.392 5.054 4.607 4.38 5.18 224 0.875 bicubic bilinear +6.761 +6.335 +2.806 +2.638 -1 -4
279 gluon_resnet34_v1b densenet121 81.433 82.823 18.567 17.177 94.799 95.585 5.201 4.415 21.80 7.98 224 0.875 bicubic +6.938 +7.245 +2.791 +2.933 0 +7
280 vgg19_bn densenet169 81.429 82.683 18.571 17.317 94.782 95.600 5.218 4.400 143.68 14.15 224 0.875 bilinear bicubic +7.213 +6.776 +2.934 +2.574 +1 +2
281 regnetx_008 mixnet_s 81.425 82.525 18.575 17.476 95.032 95.356 4.968 4.644 7.26 4.13 224 0.875 bicubic +6.399 +6.532 +2.700 +2.560 -8 -1
282 spnasnet_100 regnety_008 80.893 82.493 19.107 17.508 94.570 95.487 5.429 4.513 4.42 6.26 224 0.875 bilinear bicubic +6.773 +6.177 +2.688 +2.421 0 -4
283 vgg16_bn efficientnet_lite0 80.722 82.382 19.277 17.619 94.607 95.279 5.393 4.721 138.37 4.65 224 0.875 bilinear bicubic +7.246 +6.898 +3.071 +2.769 +2 +6
284 regnetx_006 resnest14d 80.659 82.352 19.341 17.648 94.579 95.339 5.421 4.661 6.20 10.61 224 0.875 bicubic bilinear +6.697 +6.848 +2.895 +2.821 -1 +4
285 swsl_resnet18 hardcorenas_a 80.586 82.313 19.414 17.687 94.831 95.294 5.169 4.706 11.69 5.26 224 0.875 bilinear +7.268 +6.397 +3.079 +2.780 +2 -4
286 regnety_004 efficientnet_es_pruned 80.573 82.296 19.427 17.704 94.697 95.303 5.303 4.697 4.34 5.44 224 0.875 bicubic +6.631 +7.296 +2.942 +2.855 -2 +13
287 skresnet18 mobilenetv3_rw 80.573 82.275 19.427 17.725 94.342 95.234 5.658 4.766 11.96 5.48 224 0.875 bicubic +7.573 +6.641 +3.186 +2.526 +2 -2
288 resnet18d semnasnet_100 80.426 82.251 19.574 17.749 94.306 95.230 5.694 4.770 11.71 3.89 224 0.875 bicubic +8.046 +6.803 +3.596 +2.626 +5 +2
289 tv_resnet34 mobilenetv3_large_100 80.345 82.177 19.655 17.823 94.445 95.196 5.555 4.804 21.80 5.48 224 0.875 bilinear bicubic +7.079 +6.410 +3.015 +2.654 -1 -6
290 mobilenetv2_100 resnet34 80.266 82.138 19.734 17.862 94.246 95.130 5.754 4.870 3.50 21.80 224 0.875 bicubic bilinear +7.310 +7.028 +3.204 +2.846 0 +6
291 vit_deit_tiny_patch16_224 mobilenetv2_110d 80.065 82.070 19.935 17.930 94.445 95.076 5.555 4.923 5.72 4.52 224 0.900 0.875 bicubic +7.869 +7.034 +3.353 +2.890 +6 +7
292 tf_mobilenetv3_large_075 tf_mixnet_s 80.044 82.038 19.956 17.962 94.227 95.121 5.773 4.879 3.99 4.13 224 0.875 bilinear bicubic +6.672 +6.388 +2.823 +2.493 -6 -8
293 ssl_resnet18 repvgg_b0 80.037 82.001 19.963 17.999 94.588 95.100 5.412 4.900 11.69 15.82 224 0.875 bilinear +7.545 +6.849 +3.146 +2.682 -1 0
294 hrnet_w18_small vit_deit_tiny_distilled_patch16_224 79.550 81.997 20.450 18.003 93.902 95.141 6.098 4.859 13.19 5.91 224 0.875 0.900 bilinear bicubic +7.274 +7.487 +3.316 +3.251 +1 +13
295 regnetx_004 pit_ti_distilled_224 79.508 81.967 20.492 18.033 93.939 95.145 6.061 4.855 5.16 5.10 224 0.875 0.900 bicubic +6.972 +7.437 +3.097 +3.049 -4 +11
296 vgg19 hrnet_w18_small_v2 79.501 81.961 20.499 18.039 93.906 95.164 6.093 4.836 143.67 15.60 224 0.875 bilinear +7.141 +6.847 +3.056 +2.748 -2 -1
297 legacy_seresnet18 tf_efficientnet_lite0 79.160 81.952 20.840 18.048 93.781 95.168 6.219 4.832 11.78 4.65 224 0.875 bicubic +7.408 +7.122 +3.473 +2.992 +1 +3
298 tf_mobilenetv3_large_minimal_100 resnet26 79.123 81.944 20.877 18.056 93.723 95.241 6.277 4.759 3.92 16.00 224 0.875 bilinear bicubic +6.895 +6.652 +3.041 +2.671 -2 -7
299 vgg16 tf_mobilenetv3_large_100 79.031 81.848 20.968 18.152 93.635 95.070 6.365 4.930 138.36 5.48 224 0.875 bilinear +7.403 +6.330 +3.267 +2.464 0 -12
300 vgg13_bn tv_densenet121 79.017 81.726 20.983 18.274 93.616 95.034 6.384 4.966 133.05 7.98 224 0.875 bilinear bicubic +7.399 +6.988 +3.256 +2.884 0 +2
301 gluon_resnet18_v1b regnety_006 78.479 81.700 21.521 18.300 93.155 95.115 6.845 4.885 11.69 6.06 224 0.875 bicubic +7.557 +6.454 +3.385 +2.583 0 -9
302 vgg11_bn dla34 77.998 81.658 22.002 18.342 93.144 94.878 6.856 5.122 132.87 15.74 224 0.875 bilinear +7.590 +7.028 +3.420 +2.800 0 +2
303 regnety_002 fbnetc_100 77.441 81.559 22.559 18.441 92.933 94.970 7.067 5.030 3.16 5.57 224 0.875 bicubic bilinear +7.115 +6.436 +3.377 +2.584 0 -9
304 vgg13 legacy_seresnet34 77.215 81.534 22.785 18.466 92.709 94.899 7.291 5.101 133.05 21.96 224 0.875 bilinear +7.231 +6.726 +3.403 +2.775 0 -3
305 resnet18 gluon_resnet34_v1b 77.104 81.500 22.896 18.500 92.664 94.810 7.336 5.190 11.69 21.80 224 0.875 bilinear bicubic +7.460 +6.912 +3.682 +2.820 0
306 vgg11 regnetx_008 76.305 81.485 23.695 18.515 92.181 95.059 7.819 4.941 132.86 7.26 224 0.875 bilinear bicubic +7.433 +6.447 +3.523 +2.724 0 -9
307 regnetx_002 mnasnet_100 76.196 81.459 23.804 18.541 92.183 94.899 7.816 5.101 2.68 4.38 224 0.875 bicubic +7.366 +6.801 +3.673 +2.785 0 -4
308 dla60x_c vgg19_bn 75.743 81.446 24.256 18.554 92.100 94.763 7.900 5.237 1.32 143.68 224 0.875 bilinear +7.791 +7.232 +3.662 +2.921 0
309 tf_mobilenetv3_small_100 spnasnet_100 74.668 80.878 25.332 19.122 91.268 94.526 8.732 5.474 2.54 4.42 224 0.875 bilinear +6.791 +6.794 +3.586 +2.708 0
310 dla46x_c regnety_004 73.609 80.659 26.392 19.341 91.114 94.686 8.886 5.314 1.07 4.34 224 0.875 bilinear bicubic +7.678 +6.624 +4.110 +2.934 0
311 tf_mobilenetv3_small_075 skresnet18 72.838 80.637 27.162 19.363 90.106 94.378 9.894 5.622 2.04 11.96 224 0.875 bilinear bicubic +7.106 +7.599 +3.938 +3.210 0 +5
312 dla46_c regnetx_006 72.624 80.629 27.376 19.371 90.552 94.524 9.448 5.476 1.30 6.20 224 0.875 bilinear bicubic +7.694 +6.777 +4.244 +2.852 0 -1
313 tf_mobilenetv3_small_minimal_100 pit_ti_224 69.934 80.605 30.066 19.395 88.571 94.618 11.429 5.383 2.04 4.85 224 0.875 0.900 bilinear bicubic +7.190 +7.693 +4.191 +3.216 0 +5
314 swsl_resnet18 80.575 19.425 94.743 5.256 11.69 224 0.875 bilinear +7.299 +3.010 +1
315 vgg16_bn 80.556 19.444 94.592 5.408 138.37 224 0.875 bilinear +7.206 +3.086 -2
316 tv_resnet34 80.389 19.611 94.436 5.564 21.80 224 0.875 bilinear +7.077 +3.010 -2
317 resnet18d 80.387 19.613 94.252 5.748 11.71 224 0.875 bicubic +8.127 +3.556 +6
318 mobilenetv2_100 80.257 19.743 94.195 5.805 3.50 224 0.875 bicubic +7.287 +3.179 -1
319 ssl_resnet18 80.101 19.899 94.590 5.410 11.69 224 0.875 bilinear +7.491 +3.174 0
320 tf_mobilenetv3_large_075 80.093 19.907 94.184 5.816 3.99 224 0.875 bilinear +6.655 +2.834 -8
321 vit_deit_tiny_patch16_224 80.018 19.982 94.449 5.551 5.72 224 0.900 bicubic +7.850 +3.331 +4
322 hrnet_w18_small 79.555 20.445 93.898 6.102 13.19 224 0.875 bilinear +7.211 +3.220 0
323 vgg19 79.480 20.520 93.870 6.130 143.67 224 0.875 bilinear +7.112 +2.998 -2
324 regnetx_004 79.435 20.565 93.853 6.147 5.16 224 0.875 bicubic +7.039 +3.023 -4
325 tf_mobilenetv3_large_minimal_100 79.222 20.778 93.706 6.294 3.92 224 0.875 bilinear +6.974 +3.076 -1
326 legacy_seresnet18 79.153 20.847 93.783 6.217 11.78 224 0.875 bicubic +7.411 +3.449 0
327 vgg16 79.038 20.962 93.646 6.354 138.36 224 0.875 bilinear +7.444 +3.264 +1
328 vgg13_bn 79.006 20.994 93.655 6.345 133.05 224 0.875 bilinear +7.412 +3.279 -1
329 gluon_resnet18_v1b 78.372 21.628 93.138 6.862 11.69 224 0.875 bicubic +7.536 +3.376 0
330 vgg11_bn 77.926 22.074 93.230 6.770 132.87 224 0.875 bilinear +7.566 +3.428 0
331 regnety_002 77.405 22.595 92.914 7.086 3.16 224 0.875 bicubic +7.153 +3.374 0
332 resnet18 77.276 22.724 92.756 7.244 11.69 224 0.875 bilinear +7.528 +3.678 +1
333 vgg13 77.230 22.770 92.689 7.311 133.05 224 0.875 bilinear +7.303 +3.444 -1
334 vgg11 76.384 23.616 92.154 7.846 132.86 224 0.875 bilinear +7.360 +3.526 0
335 regnetx_002 76.124 23.876 92.211 7.789 2.68 224 0.875 bicubic +7.362 +3.655 0
336 dla60x_c 75.637 24.363 92.177 7.823 1.32 224 0.875 bilinear +7.745 +3.751 +1
337 tf_mobilenetv3_small_100 74.717 25.283 91.257 8.743 2.54 224 0.875 bilinear +6.795 +3.593 -1
338 dla46x_c 73.647 26.353 91.095 8.905 1.07 224 0.875 bilinear +7.677 +4.115 0
339 tf_mobilenetv3_small_075 72.812 27.188 90.036 9.964 2.04 224 0.875 bilinear +7.096 +3.906 0
340 dla46_c 72.603 27.397 90.499 9.501 1.30 224 0.875 bilinear +7.737 +4.207 0
341 tf_mobilenetv3_small_minimal_100 70.111 29.889 88.505 11.495 2.04 224 0.875 bilinear +7.205 +4.275 0

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model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation
tf_efficientnet_l2_ns,88.336,11.664,98.664,1.336,480.31,800,0.960,bicubic tf_efficientnet_l2_ns,88.352,11.648,98.650,1.350,480.31,800,0.960,bicubic
tf_efficientnet_l2_ns_475,88.230,11.770,98.546,1.454,480.31,475,0.936,bicubic tf_efficientnet_l2_ns_475,88.234,11.766,98.546,1.454,480.31,475,0.936,bicubic
tf_efficientnet_b7_ns,86.830,13.170,98.092,1.908,66.35,600,0.949,bicubic swin_large_patch4_window12_384,87.148,12.852,98.234,1.766,196.74,384,1.000,bicubic
tf_efficientnet_b6_ns,86.462,13.538,97.878,2.122,43.04,528,0.942,bicubic tf_efficientnet_b7_ns,86.840,13.160,98.094,1.906,66.35,600,0.949,bicubic
dm_nfnet_f6,86.306,13.694,97.742,2.258,438.36,576,0.956,bicubic tf_efficientnet_b6_ns,86.452,13.548,97.882,2.118,43.04,528,0.942,bicubic
tf_efficientnet_b5_ns,86.072,13.928,97.748,2.252,30.39,456,0.934,bicubic swin_base_patch4_window12_384,86.432,13.568,98.058,1.942,87.90,384,1.000,bicubic
dm_nfnet_f4,85.726,14.274,97.518,2.482,316.07,512,0.951,bicubic swin_large_patch4_window7_224,86.320,13.680,97.896,2.104,196.53,224,0.900,bicubic
dm_nfnet_f5,85.720,14.280,97.436,2.564,377.21,544,0.954,bicubic dm_nfnet_f6,86.296,13.704,97.744,2.256,438.36,576,0.956,bicubic
dm_nfnet_f3,85.582,14.418,97.390,2.610,254.92,416,0.940,bicubic tf_efficientnet_b5_ns,86.088,13.912,97.752,2.248,30.39,456,0.934,bicubic
ig_resnext101_32x48d,85.502,14.498,97.548,2.452,828.41,224,0.875,bilinear dm_nfnet_f5,85.714,14.286,97.442,2.558,377.21,544,0.954,bicubic
vit_deit_base_distilled_patch16_384,85.422,14.578,97.334,2.666,87.63,384,1.000,bicubic dm_nfnet_f4,85.658,14.342,97.510,2.490,316.07,512,0.951,bicubic
tf_efficientnet_b8,85.384,14.616,97.400,2.600,87.41,672,0.954,bicubic dm_nfnet_f3,85.560,14.440,97.406,2.594,254.92,416,0.940,bicubic
tf_efficientnet_b8_ap,85.384,14.616,97.298,2.702,87.41,672,0.954,bicubic ig_resnext101_32x48d,85.428,14.572,97.572,2.428,828.41,224,0.875,bilinear
tf_efficientnet_b4_ns,85.194,14.806,97.500,2.500,19.34,380,0.922,bicubic vit_deit_base_distilled_patch16_384,85.422,14.578,97.332,2.668,87.63,384,1.000,bicubic
vit_large_patch16_384,85.170,14.830,97.344,2.656,304.72,384,1.000,bicubic tf_efficientnet_b8,85.370,14.630,97.390,2.610,87.41,672,0.954,bicubic
ig_resnext101_32x32d,85.146,14.854,97.456,2.544,468.53,224,0.875,bilinear tf_efficientnet_b8_ap,85.370,14.630,97.294,2.706,87.41,672,0.954,bicubic
tf_efficientnet_b7_ap,85.124,14.876,97.256,2.744,66.35,600,0.949,bicubic swin_base_patch4_window7_224,85.252,14.748,97.562,2.438,87.77,224,0.900,bicubic
vit_base_resnet50_384,84.994,15.006,97.294,2.706,98.95,384,1.000,bicubic tf_efficientnet_b4_ns,85.162,14.838,97.470,2.530,19.34,380,0.922,bicubic
dm_nfnet_f2,84.968,15.032,97.124,2.876,193.78,352,0.920,bicubic vit_large_patch16_384,85.158,14.842,97.356,2.644,304.72,384,1.000,bicubic
tf_efficientnet_b7,84.936,15.064,97.208,2.792,66.35,600,0.949,bicubic tf_efficientnet_b7_ap,85.120,14.880,97.252,2.748,66.35,600,0.949,bicubic
ecaresnet269d,84.926,15.074,97.236,2.764,102.09,352,1.000,bicubic ig_resnext101_32x32d,85.094,14.906,97.438,2.562,468.53,224,0.875,bilinear
resnetv2_152x4_bitm,84.916,15.084,97.444,2.556,936.53,480,1.000,bilinear dm_nfnet_f2,84.990,15.010,97.144,2.856,193.78,352,0.920,bicubic
tf_efficientnet_b6_ap,84.790,15.210,97.136,2.864,43.04,528,0.942,bicubic ecaresnet269d,84.976,15.024,97.226,2.774,102.09,352,1.000,bicubic
dm_nfnet_f1,84.594,15.406,97.080,2.920,132.63,320,0.910,bicubic vit_base_r50_s16_384,84.972,15.028,97.288,2.712,98.95,384,1.000,bicubic
resnest269e,84.518,15.482,97.002,2.998,110.93,416,0.928,bicubic tf_efficientnet_b7,84.936,15.064,97.204,2.796,66.35,600,0.949,bicubic
resnetv2_152x2_bitm,84.428,15.572,97.452,2.548,236.34,480,1.000,bilinear resnetv2_152x4_bitm,84.932,15.068,97.436,2.564,936.53,480,1.000,bilinear
resnetv2_101x3_bitm,84.392,15.608,97.358,2.642,387.93,480,1.000,bilinear tf_efficientnet_b6_ap,84.788,15.212,97.138,2.862,43.04,528,0.942,bicubic
seresnet152d,84.350,15.650,97.042,2.958,66.84,320,1.000,bicubic dm_nfnet_f1,84.604,15.396,97.068,2.932,132.63,320,0.910,bicubic
swsl_resnext101_32x8d,84.332,15.668,97.154,2.846,88.79,224,0.875,bilinear resnest269e,84.518,15.482,96.986,3.014,110.93,416,0.928,bicubic
tf_efficientnet_b5_ap,84.260,15.740,96.974,3.026,30.39,456,0.934,bicubic resnetv2_152x2_bitm,84.440,15.560,97.446,2.554,236.34,480,1.000,bilinear
vit_base_patch16_384,84.212,15.788,97.216,2.784,86.86,384,1.000,bicubic resnetv2_101x3_bitm,84.394,15.606,97.362,2.638,387.93,480,1.000,bilinear
ig_resnext101_32x16d,84.168,15.832,97.196,2.804,194.03,224,0.875,bilinear seresnet152d,84.362,15.638,97.040,2.960,66.84,320,1.000,bicubic
tf_efficientnet_b6,84.122,15.878,96.890,3.110,43.04,528,0.942,bicubic swsl_resnext101_32x8d,84.284,15.716,97.176,2.824,88.79,224,0.875,bilinear
tf_efficientnet_b3_ns,84.012,15.988,96.910,3.090,12.23,300,0.904,bicubic tf_efficientnet_b5_ap,84.252,15.748,96.974,3.026,30.39,456,0.934,bicubic
resnet200d,84.000,16.000,96.824,3.176,64.69,320,1.000,bicubic vit_base_patch16_384,84.210,15.790,97.218,2.782,86.86,384,1.000,bicubic
resnest200e,83.840,16.160,96.858,3.142,70.20,320,0.909,bicubic ig_resnext101_32x16d,84.170,15.830,97.196,2.804,194.03,224,0.875,bilinear
tf_efficientnet_b5,83.820,16.180,96.760,3.240,30.39,456,0.934,bicubic pit_b_distilled_224,84.144,15.856,96.856,3.144,74.79,224,0.900,bicubic
resnetv2_50x3_bitm,83.800,16.200,97.110,2.890,217.32,480,1.000,bilinear tf_efficientnet_b6,84.110,15.890,96.886,3.114,43.04,528,0.942,bicubic
resnet152d,83.664,16.336,96.726,3.274,60.21,320,1.000,bicubic tf_efficientnet_b3_ns,84.048,15.952,96.910,3.090,12.23,300,0.904,bicubic
swsl_resnext101_32x16d,83.464,16.536,96.866,3.134,194.03,224,0.875,bilinear eca_nfnet_l1,84.008,15.992,97.028,2.972,41.41,320,1.000,bicubic
vit_deit_base_distilled_patch16_224,83.372,16.628,96.504,3.496,87.34,224,0.900,bicubic resnet200d,83.962,16.038,96.824,3.176,64.69,320,1.000,bicubic
dm_nfnet_f0,83.370,16.630,96.558,3.442,71.49,256,0.900,bicubic resnest200e,83.832,16.168,96.894,3.106,70.20,320,0.909,bicubic
swsl_resnext101_32x4d,83.252,16.748,96.768,3.232,44.18,224,0.875,bilinear tf_efficientnet_b5,83.812,16.188,96.748,3.252,30.39,456,0.934,bicubic
tf_efficientnet_b4_ap,83.224,16.776,96.366,3.634,19.34,380,0.922,bicubic resnetv2_50x3_bitm,83.784,16.216,97.106,2.894,217.32,480,1.000,bilinear
vit_deit_base_patch16_384,83.092,16.908,96.352,3.648,86.86,384,1.000,bicubic regnety_160,83.686,16.314,96.776,3.224,83.59,288,1.000,bicubic
vit_large_patch16_224,83.060,16.940,96.424,3.576,304.33,224,0.900,bicubic resnet152d,83.680,16.320,96.738,3.262,60.21,320,1.000,bicubic
tresnet_xl_448,83.042,16.958,96.182,3.818,78.44,448,0.875,bilinear vit_deit_base_distilled_patch16_224,83.388,16.612,96.488,3.512,87.34,224,0.900,bicubic
resnet101d,83.000,17.000,96.460,3.540,44.57,320,1.000,bicubic swsl_resnext101_32x16d,83.346,16.654,96.846,3.154,194.03,224,0.875,bilinear
tf_efficientnet_b4,82.974,17.026,96.292,3.708,19.34,380,0.922,bicubic dm_nfnet_f0,83.342,16.658,96.560,3.440,71.49,256,0.900,bicubic
resnest101e,82.824,17.176,96.310,3.690,48.28,256,0.875,bilinear tf_efficientnet_b4_ap,83.248,16.752,96.392,3.608,19.34,380,0.922,bicubic
pnasnet5large,82.786,17.214,96.076,3.924,86.06,331,0.911,bicubic swsl_resnext101_32x4d,83.230,16.770,96.760,3.240,44.18,224,0.875,bilinear
ig_resnext101_32x8d,82.660,17.340,96.684,3.316,88.79,224,0.875,bilinear swin_small_patch4_window7_224,83.212,16.788,96.322,3.678,49.61,224,0.900,bicubic
nasnetalarge,82.640,17.360,96.052,3.948,88.75,331,0.911,bicubic vit_deit_base_patch16_384,83.106,16.894,96.372,3.628,86.86,384,1.000,bicubic
tf_efficientnet_b2_ns,82.366,17.634,96.260,3.740,9.11,260,0.890,bicubic vit_large_patch16_224,83.062,16.938,96.438,3.562,304.33,224,0.900,bicubic
ecaresnet50t,82.348,17.652,96.144,3.856,25.57,320,0.950,bicubic tresnet_xl_448,83.050,16.950,96.174,3.826,78.44,448,0.875,bilinear
tresnet_l_448,82.290,17.710,95.978,4.022,55.99,448,0.875,bilinear resnet101d,83.022,16.978,96.446,3.554,44.57,320,1.000,bicubic
efficientnet_b3a,82.232,17.768,96.126,3.874,12.23,320,1.000,bicubic tf_efficientnet_b4,83.022,16.978,96.300,3.700,19.34,380,0.922,bicubic
resnetv2_101x1_bitm,82.208,17.792,96.460,3.540,44.54,480,1.000,bilinear resnest101e,82.890,17.110,96.320,3.680,48.28,256,0.875,bilinear
swsl_resnext50_32x4d,82.186,17.814,96.264,3.736,25.03,224,0.875,bilinear pnasnet5large,82.782,17.218,96.040,3.960,86.06,331,0.911,bicubic
tresnet_xl,82.166,17.834,95.934,4.066,78.44,224,0.875,bilinear nfnet_l0,82.760,17.240,96.498,3.502,35.07,288,1.000,bicubic
ecaresnet101d,82.118,17.882,96.040,3.960,44.57,224,0.875,bicubic regnety_032,82.724,17.276,96.424,3.576,19.44,288,1.000,bicubic
efficientnet_b3,82.032,17.968,96.036,3.964,12.23,300,0.904,bicubic ig_resnext101_32x8d,82.688,17.312,96.636,3.364,88.79,224,0.875,bilinear
regnety_032,82.016,17.984,95.932,4.068,19.44,224,0.875,bicubic nasnetalarge,82.620,17.380,96.046,3.954,88.75,331,0.911,bicubic
vit_deit_base_patch16_224,81.994,18.006,95.738,4.262,86.57,224,0.900,bicubic eca_nfnet_l0,82.588,17.412,96.474,3.526,24.14,288,1.000,bicubic
ssl_resnext101_32x16d,81.846,18.154,96.132,3.868,194.03,224,0.875,bilinear pit_b_224,82.446,17.554,95.710,4.290,73.76,224,0.900,bicubic
tf_efficientnet_b3_ap,81.802,18.198,95.600,4.400,12.23,300,0.904,bicubic tf_efficientnet_b2_ns,82.380,17.620,96.248,3.752,9.11,260,0.890,bicubic
vit_base_patch16_224,81.780,18.220,96.112,3.888,86.57,224,0.900,bicubic ecaresnet50t,82.346,17.654,96.138,3.862,25.57,320,0.950,bicubic
tresnet_m_448,81.692,18.308,95.560,4.440,31.39,448,0.875,bilinear tresnet_l_448,82.268,17.732,95.976,4.024,55.99,448,0.875,bilinear
rexnet_200,81.688,18.312,95.690,4.310,16.37,224,0.875,bicubic efficientnet_b3a,82.242,17.758,96.114,3.886,12.23,320,1.000,bicubic
vit_base_patch32_384,81.664,18.336,96.128,3.872,88.30,384,1.000,bicubic resnetv2_101x1_bitm,82.212,17.788,96.472,3.528,44.54,480,1.000,bilinear
tf_efficientnet_b3,81.626,18.374,95.706,4.294,12.23,300,0.904,bicubic swsl_resnext50_32x4d,82.182,17.818,96.230,3.770,25.03,224,0.875,bilinear
ssl_resnext101_32x8d,81.600,18.400,96.022,3.978,88.79,224,0.875,bilinear ecaresnet101d,82.172,17.828,96.046,3.954,44.57,224,0.875,bicubic
tf_efficientnet_lite4,81.516,18.484,95.624,4.376,13.01,380,0.920,bilinear efficientnet_b3,82.076,17.924,96.020,3.980,12.23,300,0.904,bicubic
vit_large_patch32_384,81.506,18.494,96.108,3.892,306.63,384,1.000,bicubic efficientnet_v2s,82.070,17.930,95.954,4.046,23.94,224,1.000,bicubic
tresnet_l,81.490,18.510,95.584,4.416,55.99,224,0.875,bilinear tresnet_xl,82.054,17.946,95.936,4.064,78.44,224,0.875,bilinear
tf_efficientnet_b1_ns,81.398,18.602,95.730,4.270,7.79,240,0.882,bicubic vit_deit_base_patch16_224,81.998,18.002,95.734,4.266,86.57,224,0.900,bicubic
gernet_l,81.344,18.656,95.540,4.460,31.08,256,0.875,bilinear pit_s_distilled_224,81.996,18.004,95.798,4.202,24.04,224,0.900,bicubic
legacy_senet154,81.322,18.678,95.454,4.546,115.09,224,0.875,bilinear ssl_resnext101_32x16d,81.844,18.156,96.096,3.904,194.03,224,0.875,bilinear
wide_resnet50_2,81.306,18.694,95.588,4.412,68.88,224,0.875,bicubic tf_efficientnet_b3_ap,81.822,18.178,95.624,4.376,12.23,300,0.904,bicubic
seresnext50_32x4d,81.270,18.730,95.656,4.344,27.56,224,0.875,bicubic vit_base_patch16_224,81.786,18.214,96.122,3.878,86.57,224,0.900,bicubic
vit_deit_small_distilled_patch16_224,81.250,18.750,95.396,4.604,22.44,224,0.900,bicubic tresnet_m_448,81.714,18.286,95.572,4.428,31.39,448,0.875,bilinear
gluon_senet154,81.216,18.784,95.320,4.680,115.09,224,0.875,bicubic vit_base_patch32_384,81.652,18.348,96.128,3.872,88.30,384,1.000,bicubic
resnest50d_4s2x40d,81.148,18.852,95.552,4.448,30.42,224,0.875,bicubic tf_efficientnet_b3,81.636,18.364,95.718,4.282,12.23,300,0.904,bicubic
swsl_resnet50,81.124,18.876,95.988,4.012,25.56,224,0.875,bilinear rexnet_200,81.632,18.368,95.668,4.332,16.37,224,0.875,bicubic
ssl_resnext101_32x4d,81.024,18.976,95.748,4.252,44.18,224,0.875,bilinear ssl_resnext101_32x8d,81.616,18.384,96.038,3.962,88.79,224,0.875,bilinear
gluon_resnet152_v1s,81.020,18.980,95.426,4.574,60.32,224,0.875,bicubic tf_efficientnet_lite4,81.536,18.464,95.668,4.332,13.01,380,0.920,bilinear
resnest50d,80.970,19.030,95.350,4.650,27.48,224,0.875,bilinear tnt_s_patch16_224,81.518,18.482,95.748,4.252,23.76,224,0.900,bicubic
resnest50d_1s4x24d,80.938,19.062,95.318,4.682,25.68,224,0.875,bicubic vit_large_patch32_384,81.506,18.494,96.092,3.908,306.63,384,1.000,bicubic
ecaresnet101d_pruned,80.886,19.114,95.572,4.428,24.88,224,0.875,bicubic tresnet_l,81.490,18.510,95.624,4.376,55.99,224,0.875,bilinear
gluon_seresnext101_32x4d,80.878,19.122,95.274,4.726,48.96,224,0.875,bicubic wide_resnet50_2,81.456,18.544,95.532,4.468,68.88,224,0.875,bicubic
gluon_seresnext101_64x4d,80.852,19.148,95.336,4.664,88.23,224,0.875,bicubic tf_efficientnet_b1_ns,81.388,18.612,95.738,4.262,7.79,240,0.882,bicubic
efficientnet_b3_pruned,80.820,19.180,95.224,4.776,9.86,300,0.904,bicubic swin_tiny_patch4_window7_224,81.378,18.622,95.540,4.460,28.29,224,0.900,bicubic
regnety_320,80.782,19.218,95.262,4.738,145.05,224,0.875,bicubic gernet_l,81.354,18.646,95.536,4.464,31.08,256,0.875,bilinear
gernet_m,80.730,19.270,95.212,4.788,21.14,224,0.875,bilinear efficientnet_el,81.316,18.684,95.526,4.474,10.59,300,0.904,bicubic
tresnet_m,80.720,19.280,94.856,5.144,31.39,224,0.875,bilinear legacy_senet154,81.310,18.690,95.496,4.504,115.09,224,0.875,bilinear
nf_resnet50,80.666,19.334,95.358,4.642,25.56,288,0.940,bicubic seresnext50_32x4d,81.266,18.734,95.620,4.380,27.56,224,0.875,bicubic
gluon_resnext101_64x4d,80.636,19.364,94.990,5.010,83.46,224,0.875,bicubic gluon_senet154,81.234,18.766,95.348,4.652,115.09,224,0.875,bicubic
ecaresnet50d,80.614,19.386,95.314,4.686,25.58,224,0.875,bicubic vit_deit_small_distilled_patch16_224,81.200,18.800,95.378,4.622,22.44,224,0.900,bicubic
efficientnet_b2a,80.608,19.392,95.298,4.702,9.11,288,1.000,bicubic swsl_resnet50,81.166,18.834,95.972,4.028,25.56,224,0.875,bilinear
resnet50d,80.492,19.508,95.128,4.872,25.58,224,0.875,bicubic resnest50d_4s2x40d,81.108,18.892,95.558,4.442,30.42,224,0.875,bicubic
gluon_resnet152_v1d,80.480,19.520,95.262,4.738,60.21,224,0.875,bicubic pit_s_224,81.094,18.906,95.332,4.668,23.46,224,0.900,bicubic
ecaresnetlight,80.460,19.540,95.202,4.798,30.16,224,0.875,bicubic gluon_resnet152_v1s,81.016,18.984,95.412,4.588,60.32,224,0.875,bicubic
inception_resnet_v2,80.448,19.552,95.292,4.708,55.84,299,0.897,bicubic resnest50d_1s4x24d,80.988,19.012,95.322,4.678,25.68,224,0.875,bicubic
repvgg_b3,80.440,19.560,95.194,4.806,123.09,224,0.875,bilinear resnest50d,80.974,19.026,95.378,4.622,27.48,224,0.875,bilinear
gluon_resnet101_v1d,80.430,19.570,95.014,4.986,44.57,224,0.875,bicubic ssl_resnext101_32x4d,80.924,19.076,95.728,4.272,44.18,224,0.875,bilinear
mixnet_xl,80.424,19.576,94.888,5.112,11.90,224,0.875,bicubic gluon_seresnext101_32x4d,80.904,19.096,95.294,4.706,48.96,224,0.875,bicubic
regnety_160,80.414,19.586,94.980,5.020,83.59,224,0.875,bicubic gluon_seresnext101_64x4d,80.894,19.106,95.308,4.692,88.23,224,0.875,bicubic
regnety_120,80.374,19.626,95.108,4.892,51.82,224,0.875,bicubic efficientnet_b3_pruned,80.858,19.142,95.242,4.758,9.86,300,0.904,bicubic
rexnet_150,80.350,19.650,95.202,4.798,9.73,224,0.875,bicubic ecaresnet101d_pruned,80.816,19.184,95.628,4.372,24.88,224,0.875,bicubic
ssl_resnext50_32x4d,80.332,19.668,95.382,4.618,25.03,224,0.875,bilinear regnety_320,80.812,19.188,95.244,4.756,145.05,224,0.875,bicubic
efficientnet_b2,80.314,19.686,95.112,4.888,9.11,260,0.875,bicubic tresnet_m,80.802,19.198,94.860,5.140,31.39,224,0.875,bilinear
regnetx_320,80.314,19.686,95.068,4.932,107.81,224,0.875,bicubic gernet_m,80.732,19.268,95.184,4.816,21.14,224,0.875,bilinear
gluon_resnet101_v1s,80.296,19.704,95.176,4.824,44.67,224,0.875,bicubic nf_resnet50,80.694,19.306,95.356,4.644,25.56,288,0.940,bicubic
seresnet50,80.292,19.708,95.048,4.952,28.09,224,0.875,bicubic efficientnet_b2a,80.612,19.388,95.318,4.682,9.11,288,1.000,bicubic
tf_efficientnet_el,80.292,19.708,95.120,4.880,10.59,300,0.904,bicubic gluon_resnext101_64x4d,80.604,19.396,94.988,5.012,83.46,224,0.875,bicubic
legacy_seresnext101_32x4d,80.282,19.718,95.024,4.976,48.96,224,0.875,bilinear ecaresnet50d,80.592,19.408,95.320,4.680,25.58,224,0.875,bicubic
tf_efficientnet_b2_ap,80.240,19.760,94.984,5.016,9.11,260,0.890,bicubic resnet50d,80.530,19.470,95.160,4.840,25.58,224,0.875,bicubic
repvgg_b3g4,80.238,19.762,95.068,4.932,83.83,224,0.875,bilinear repvgg_b3,80.492,19.508,95.260,4.740,123.09,224,0.875,bilinear
gluon_resnext101_32x4d,80.218,19.782,94.908,5.092,44.18,224,0.875,bicubic mixnet_xl,80.476,19.524,94.936,5.064,11.90,224,0.875,bicubic
dpn107,80.180,19.820,94.906,5.094,86.92,224,0.875,bicubic gluon_resnet152_v1d,80.474,19.526,95.206,4.794,60.21,224,0.875,bicubic
inception_v4,80.154,19.846,94.962,5.038,42.68,299,0.875,bicubic ecaresnetlight,80.462,19.538,95.250,4.750,30.16,224,0.875,bicubic
skresnext50_32x4d,80.154,19.846,94.702,5.298,27.48,224,0.875,bicubic inception_resnet_v2,80.458,19.542,95.306,4.694,55.84,299,0.897,bicubic
resnetv2_50x1_bitm,80.152,19.848,95.644,4.356,25.55,480,1.000,bilinear gluon_resnet101_v1d,80.414,19.586,95.014,4.986,44.57,224,0.875,bicubic
cspdarknet53,80.050,19.950,95.076,4.924,27.64,256,0.887,bilinear efficientnet_b2,80.392,19.608,95.076,4.924,9.11,260,0.875,bicubic
dpn92,80.034,19.966,94.818,5.182,37.67,224,0.875,bicubic regnety_120,80.366,19.634,95.126,4.874,51.82,224,0.875,bicubic
tf_efficientnet_b2,80.024,19.976,94.944,5.056,9.11,260,0.890,bicubic gluon_resnext101_32x4d,80.334,19.666,94.926,5.074,44.18,224,0.875,bicubic
cspresnext50,80.006,19.994,94.932,5.068,20.57,224,0.875,bilinear ssl_resnext50_32x4d,80.318,19.682,95.406,4.594,25.03,224,0.875,bilinear
gluon_seresnext50_32x4d,79.948,20.052,94.836,5.164,27.56,224,0.875,bicubic rexnet_150,80.310,19.690,95.166,4.834,9.73,224,0.875,bicubic
ens_adv_inception_resnet_v2,79.930,20.070,94.950,5.050,55.84,299,0.897,bicubic gluon_resnet101_v1s,80.302,19.698,95.160,4.840,44.67,224,0.875,bicubic
ecaresnet26t,79.884,20.116,95.072,4.928,16.01,320,0.950,bicubic efficientnet_el_pruned,80.300,19.700,95.218,4.782,10.59,300,0.904,bicubic
regnetx_160,79.884,20.116,94.826,5.174,54.28,224,0.875,bicubic tf_efficientnet_b2_ap,80.300,19.700,95.028,4.972,9.11,260,0.890,bicubic
vit_deit_small_patch16_224,79.868,20.132,95.042,4.958,22.05,224,0.900,bicubic seresnet50,80.274,19.726,95.070,4.930,28.09,224,0.875,bicubic
dpn131,79.866,20.134,94.726,5.274,79.25,224,0.875,bicubic tf_efficientnet_el,80.250,19.750,95.128,4.872,10.59,300,0.904,bicubic
gluon_resnet152_v1c,79.850,20.150,94.890,5.110,60.21,224,0.875,bicubic regnetx_320,80.246,19.754,95.026,4.974,107.81,224,0.875,bicubic
xception71,79.846,20.154,94.936,5.064,42.34,299,0.903,bicubic legacy_seresnext101_32x4d,80.228,19.772,95.018,4.982,48.96,224,0.875,bilinear
regnety_080,79.840,20.160,94.848,5.152,39.18,224,0.875,bicubic repvgg_b3g4,80.212,19.788,95.110,4.890,83.83,224,0.875,bilinear
efficientnet_b2_pruned,79.832,20.168,94.806,5.194,8.31,260,0.890,bicubic resnetv2_50x1_bitm,80.172,19.828,95.626,4.374,25.55,480,1.000,bilinear
tf_efficientnet_lite3,79.758,20.242,94.864,5.136,8.20,300,0.904,bilinear inception_v4,80.168,19.832,94.968,5.032,42.68,299,0.875,bicubic
gluon_xception65,79.756,20.244,94.852,5.148,39.92,299,0.903,bicubic skresnext50_32x4d,80.156,19.844,94.642,5.358,27.48,224,0.875,bicubic
regnety_064,79.736,20.264,94.758,5.242,30.58,224,0.875,bicubic dpn107,80.156,19.844,94.910,5.090,86.92,224,0.875,bicubic
resnext50_32x4d,79.722,20.278,94.606,5.394,25.03,224,0.875,bicubic tf_efficientnet_b2,80.086,19.914,94.908,5.092,9.11,260,0.890,bicubic
dpn98,79.688,20.312,94.644,5.356,61.57,224,0.875,bicubic cspdarknet53,80.058,19.942,95.084,4.916,27.64,256,0.887,bilinear
resnext50d_32x4d,79.688,20.312,94.844,5.156,25.05,224,0.875,bicubic cspresnext50,80.040,19.960,94.944,5.056,20.57,224,0.875,bilinear
ecaresnet50d_pruned,79.676,20.324,94.922,5.078,19.94,224,0.875,bicubic dpn92,80.008,19.992,94.838,5.162,37.67,224,0.875,bicubic
gluon_resnet152_v1b,79.634,20.366,94.758,5.242,60.19,224,0.875,bicubic ens_adv_inception_resnet_v2,79.982,20.018,94.936,5.064,55.84,299,0.897,bicubic
xception65,79.592,20.408,94.658,5.342,39.92,299,0.903,bicubic gluon_seresnext50_32x4d,79.918,20.082,94.822,5.178,27.56,224,0.875,bicubic
cspresnet50,79.582,20.418,94.712,5.288,21.62,256,0.887,bilinear efficientnet_b2_pruned,79.916,20.084,94.856,5.144,8.31,260,0.890,bicubic
regnetx_120,79.574,20.426,94.692,5.308,46.11,224,0.875,bicubic gluon_resnet152_v1c,79.910,20.090,94.840,5.160,60.21,224,0.875,bicubic
gluon_resnet101_v1c,79.550,20.450,94.642,5.358,44.57,224,0.875,bicubic regnety_080,79.876,20.124,94.830,5.170,39.18,224,0.875,bicubic
rexnet_130,79.516,20.484,94.660,5.340,7.56,224,0.875,bicubic xception71,79.874,20.126,94.922,5.078,42.34,299,0.903,bicubic
hrnet_w64,79.488,20.512,94.638,5.362,128.06,224,0.875,bilinear regnetx_160,79.856,20.144,94.830,5.170,54.28,224,0.875,bicubic
dla102x2,79.428,20.572,94.628,5.372,41.28,224,0.875,bilinear vit_deit_small_patch16_224,79.856,20.144,95.052,4.948,22.05,224,0.900,bicubic
repvgg_b2g4,79.404,20.596,94.706,5.294,61.76,224,0.875,bilinear ecaresnet26t,79.854,20.146,95.084,4.916,16.01,320,0.950,bicubic
gluon_resnet101_v1b,79.360,20.640,94.508,5.492,44.55,224,0.875,bicubic dpn131,79.822,20.178,94.710,5.290,79.25,224,0.875,bicubic
nf_regnet_b1,79.324,20.676,94.772,5.228,10.22,288,0.900,bicubic tf_efficientnet_lite3,79.820,20.180,94.914,5.086,8.20,300,0.904,bilinear
gluon_resnext50_32x4d,79.320,20.680,94.500,5.500,25.03,224,0.875,bicubic resnext50_32x4d,79.768,20.232,94.598,5.402,25.03,224,0.875,bicubic
tf_efficientnet_b1_ap,79.290,20.710,94.326,5.674,7.79,240,0.882,bicubic regnety_064,79.722,20.278,94.768,5.232,30.58,224,0.875,bicubic
tf_efficientnet_cc_b1_8e,79.288,20.712,94.358,5.642,39.72,240,0.882,bicubic ecaresnet50d_pruned,79.716,20.284,94.880,5.120,19.94,224,0.875,bicubic
resnetblur50,79.262,20.738,94.622,5.378,25.56,224,0.875,bicubic gluon_xception65,79.716,20.284,94.860,5.140,39.92,299,0.903,bicubic
ssl_resnet50,79.240,20.760,94.914,5.086,25.56,224,0.875,bilinear gluon_resnet152_v1b,79.686,20.314,94.736,5.264,60.19,224,0.875,bicubic
hrnet_w48,79.236,20.764,94.522,5.478,77.47,224,0.875,bilinear resnext50d_32x4d,79.676,20.324,94.866,5.134,25.05,224,0.875,bicubic
efficientnet_em,79.230,20.770,94.792,5.208,6.90,240,0.882,bicubic dpn98,79.642,20.358,94.598,5.402,61.57,224,0.875,bicubic
regnety_040,79.216,20.784,94.662,5.338,20.65,224,0.875,bicubic regnetx_120,79.596,20.404,94.738,5.262,46.11,224,0.875,bicubic
resnext101_32x8d,79.210,20.790,94.556,5.444,88.79,224,0.875,bilinear cspresnet50,79.574,20.426,94.712,5.288,21.62,256,0.887,bilinear
ese_vovnet39b,79.206,20.794,94.728,5.272,24.57,224,0.875,bicubic xception65,79.552,20.448,94.654,5.346,39.92,299,0.903,bicubic
regnetx_080,79.174,20.826,94.556,5.444,39.57,224,0.875,bicubic gluon_resnet101_v1c,79.534,20.466,94.578,5.422,44.57,224,0.875,bicubic
dpn68b,79.140,20.860,94.424,5.576,12.61,224,0.875,bicubic rexnet_130,79.500,20.500,94.682,5.318,7.56,224,0.875,bicubic
res2net50_26w_8s,79.130,20.870,94.404,5.596,48.40,224,0.875,bilinear hrnet_w64,79.474,20.526,94.652,5.348,128.06,224,0.875,bilinear
res2net101_26w_4s,79.120,20.880,94.432,5.568,45.21,224,0.875,bilinear dla102x2,79.448,20.552,94.640,5.360,41.28,224,0.875,bilinear
legacy_seresnext50_32x4d,79.108,20.892,94.478,5.522,27.56,224,0.875,bilinear repvgg_b2g4,79.366,20.634,94.688,5.312,61.76,224,0.875,bilinear
regnetx_064,79.078,20.922,94.460,5.540,26.21,224,0.875,bicubic gluon_resnext50_32x4d,79.354,20.646,94.426,5.574,25.03,224,0.875,bicubic
gluon_resnet50_v1d,79.072,20.928,94.478,5.522,25.58,224,0.875,bicubic ese_vovnet39b,79.320,20.680,94.712,5.288,24.57,224,0.875,bicubic
xception,79.028,20.972,94.370,5.630,22.86,299,0.897,bicubic resnext101_32x8d,79.308,20.692,94.518,5.482,88.79,224,0.875,bilinear
resnet50,79.004,20.996,94.392,5.608,25.56,224,0.875,bicubic tf_efficientnet_cc_b1_8e,79.308,20.692,94.370,5.630,39.72,240,0.882,bicubic
mixnet_l,78.932,21.068,94.184,5.816,7.33,224,0.875,bicubic gluon_resnet101_v1b,79.306,20.694,94.524,5.476,44.55,224,0.875,bicubic
wide_resnet101_2,78.910,21.090,94.344,5.656,126.89,224,0.875,bilinear nf_regnet_b1,79.306,20.694,94.748,5.252,10.22,288,0.900,bicubic
hrnet_w40,78.906,21.094,94.434,5.566,57.56,224,0.875,bilinear pit_xs_distilled_224,79.306,20.694,94.364,5.636,11.00,224,0.900,bicubic
hrnet_w44,78.886,21.114,94.410,5.590,67.06,224,0.875,bilinear hrnet_w48,79.300,20.700,94.512,5.488,77.47,224,0.875,bilinear
repvgg_b2,78.882,21.118,94.346,5.654,89.02,224,0.875,bilinear resnetblur50,79.286,20.714,94.638,5.362,25.56,224,0.875,bicubic
tf_efficientnet_b1,78.832,21.168,94.206,5.794,7.79,240,0.882,bicubic tf_efficientnet_b1_ap,79.280,20.720,94.306,5.694,7.79,240,0.882,bicubic
gluon_inception_v3,78.830,21.170,94.398,5.602,23.83,299,0.875,bicubic efficientnet_em,79.252,20.748,94.794,5.206,6.90,240,0.882,bicubic
tf_mixnet_l,78.802,21.198,94.054,5.946,7.33,224,0.875,bicubic ssl_resnet50,79.222,20.778,94.832,5.168,25.56,224,0.875,bilinear
gluon_resnet50_v1s,78.788,21.212,94.240,5.760,25.68,224,0.875,bicubic regnety_040,79.220,20.780,94.656,5.344,20.65,224,0.875,bicubic
dla169,78.732,21.268,94.334,5.666,53.39,224,0.875,bilinear dpn68b,79.216,20.784,94.414,5.586,12.61,224,0.875,bicubic
legacy_seresnet152,78.644,21.356,94.390,5.610,66.82,224,0.875,bilinear res2net50_26w_8s,79.198,20.802,94.368,5.632,48.40,224,0.875,bilinear
efficientnet_b1,78.604,21.396,94.094,5.906,7.79,240,0.875,bicubic res2net101_26w_4s,79.198,20.802,94.432,5.568,45.21,224,0.875,bilinear
res2net50_26w_6s,78.604,21.396,94.164,5.836,37.05,224,0.875,bilinear regnetx_080,79.194,20.806,94.560,5.440,39.57,224,0.875,bicubic
tf_efficientnet_b0_ns,78.600,21.400,94.388,5.612,5.29,224,0.875,bicubic legacy_seresnext50_32x4d,79.078,20.922,94.436,5.564,27.56,224,0.875,bilinear
dla102x,78.528,21.472,94.206,5.794,26.31,224,0.875,bilinear gluon_resnet50_v1d,79.074,20.926,94.470,5.530,25.58,224,0.875,bicubic
dla60_res2net,78.522,21.478,94.252,5.748,20.85,224,0.875,bilinear regnetx_064,79.072,20.928,94.458,5.542,26.21,224,0.875,bicubic
selecsls60b,78.496,21.504,94.192,5.808,32.77,224,0.875,bicubic xception,79.052,20.948,94.392,5.608,22.86,299,0.897,bicubic
xception41,78.496,21.504,94.256,5.744,26.97,299,0.903,bicubic resnet50,79.038,20.962,94.390,5.610,25.56,224,0.875,bicubic
regnetx_040,78.494,21.506,94.270,5.730,22.12,224,0.875,bicubic mixnet_l,78.976,21.024,94.182,5.818,7.33,224,0.875,bicubic
repvgg_b1,78.442,21.558,94.158,5.842,57.42,224,0.875,bilinear hrnet_w40,78.920,21.080,94.470,5.530,57.56,224,0.875,bilinear
resnest26d,78.440,21.560,94.296,5.704,17.07,224,0.875,bilinear hrnet_w44,78.896,21.104,94.368,5.632,67.06,224,0.875,bilinear
hrnet_w32,78.424,21.576,94.202,5.798,41.23,224,0.875,bilinear wide_resnet101_2,78.856,21.144,94.282,5.718,126.89,224,0.875,bilinear
legacy_seresnet101,78.420,21.580,94.174,5.826,49.33,224,0.875,bilinear tf_efficientnet_b1,78.826,21.174,94.198,5.802,7.79,240,0.882,bicubic
dla60_res2next,78.322,21.678,94.190,5.810,17.03,224,0.875,bilinear gluon_inception_v3,78.806,21.194,94.370,5.630,23.83,299,0.875,bicubic
efficientnet_b1_pruned,78.274,21.726,93.808,6.192,6.33,240,0.882,bicubic repvgg_b2,78.792,21.208,94.414,5.586,89.02,224,0.875,bilinear
tv_resnet152,78.250,21.750,93.982,6.018,60.19,224,0.875,bilinear tf_mixnet_l,78.774,21.226,93.998,6.002,7.33,224,0.875,bicubic
dla60x,78.226,21.774,93.988,6.012,17.35,224,0.875,bilinear gluon_resnet50_v1s,78.710,21.290,94.238,5.762,25.68,224,0.875,bicubic
tf_efficientnet_em,78.160,21.840,94.046,5.954,6.90,240,0.882,bicubic efficientnet_b1,78.698,21.302,94.144,5.856,7.79,240,0.875,bicubic
regnetx_032,78.148,21.852,94.066,5.934,15.30,224,0.875,bicubic dla169,78.688,21.312,94.336,5.664,53.39,224,0.875,bilinear
hrnet_w30,78.134,21.866,94.192,5.808,37.71,224,0.875,bilinear legacy_seresnet152,78.660,21.340,94.370,5.630,66.82,224,0.875,bilinear
res2net50_14w_8s,78.118,21.882,93.836,6.164,25.06,224,0.875,bilinear tf_efficientnet_b0_ns,78.658,21.342,94.376,5.624,5.29,224,0.875,bicubic
res2next50,78.080,21.920,93.952,6.048,24.67,224,0.875,bilinear res2net50_26w_6s,78.570,21.430,94.124,5.876,37.05,224,0.875,bilinear
dla102,78.054,21.946,93.918,6.082,33.27,224,0.875,bilinear xception41,78.516,21.484,94.278,5.722,26.97,299,0.903,bicubic
efficientnet_es,78.032,21.968,93.900,6.100,5.44,224,0.875,bicubic dla102x,78.510,21.490,94.228,5.772,26.31,224,0.875,bilinear
res2net50_26w_4s,77.966,22.034,93.830,6.170,25.70,224,0.875,bilinear regnetx_040,78.482,21.518,94.244,5.756,22.12,224,0.875,bicubic
gluon_resnet50_v1c,77.926,22.074,94.006,5.994,25.58,224,0.875,bicubic resnest26d,78.478,21.522,94.298,5.702,17.07,224,0.875,bilinear
tf_efficientnet_cc_b0_8e,77.926,22.074,93.598,6.402,24.01,224,0.875,bicubic dla60_res2net,78.464,21.536,94.206,5.794,20.85,224,0.875,bilinear
selecsls60,77.914,22.086,93.822,6.178,30.67,224,0.875,bicubic hrnet_w32,78.450,21.550,94.186,5.814,41.23,224,0.875,bilinear
rexnet_100,77.886,22.114,93.858,6.142,4.80,224,0.875,bicubic dla60_res2next,78.440,21.560,94.152,5.848,17.03,224,0.875,bilinear
vit_small_patch16_224,77.872,22.128,93.392,6.608,48.75,224,0.900,bicubic selecsls60b,78.412,21.588,94.174,5.826,32.77,224,0.875,bicubic
seresnext26t_32x4d,77.830,22.170,93.728,6.272,16.81,224,0.875,bicubic legacy_seresnet101,78.382,21.618,94.264,5.736,49.33,224,0.875,bilinear
tf_inception_v3,77.804,22.196,93.650,6.350,23.83,299,0.875,bicubic repvgg_b1,78.366,21.634,94.098,5.902,57.42,224,0.875,bilinear
regnety_016,77.804,22.196,93.724,6.276,11.20,224,0.875,bicubic tv_resnet152,78.312,21.688,94.038,5.962,60.19,224,0.875,bilinear
gluon_resnet50_v1b,77.664,22.336,93.674,6.326,25.56,224,0.875,bicubic dla60x,78.246,21.754,94.018,5.982,17.35,224,0.875,bilinear
tv_resnext50_32x4d,77.628,22.372,93.680,6.320,25.03,224,0.875,bilinear res2next50,78.246,21.754,93.892,6.108,24.67,224,0.875,bilinear
legacy_seresnet50,77.612,22.388,93.796,6.204,28.09,224,0.875,bilinear efficientnet_b1_pruned,78.236,21.764,93.834,6.166,6.33,240,0.882,bicubic
efficientnet_b0,77.610,22.390,93.564,6.436,5.29,224,0.875,bicubic hrnet_w30,78.206,21.794,94.222,5.778,37.71,224,0.875,bilinear
adv_inception_v3,77.562,22.438,93.686,6.314,23.83,299,0.875,bicubic pit_xs_224,78.182,21.818,94.168,5.832,10.62,224,0.900,bicubic
repvgg_b1g4,77.540,22.460,93.794,6.206,39.97,224,0.875,bilinear regnetx_032,78.172,21.828,94.088,5.912,15.30,224,0.875,bicubic
res2net50_48w_2s,77.518,22.482,93.582,6.418,25.29,224,0.875,bilinear res2net50_14w_8s,78.150,21.850,93.848,6.152,25.06,224,0.875,bilinear
seresnext26d_32x4d,77.518,22.482,93.606,6.394,16.81,224,0.875,bicubic tf_efficientnet_em,78.130,21.870,94.044,5.956,6.90,240,0.882,bicubic
tf_efficientnet_lite2,77.440,22.560,93.762,6.238,6.09,260,0.890,bicubic hardcorenas_f,78.104,21.896,93.802,6.198,8.20,224,0.875,bilinear
inception_v3,77.410,22.590,93.474,6.526,23.83,299,0.875,bicubic efficientnet_es,78.066,21.934,93.926,6.074,5.44,224,0.875,bicubic
densenet161,77.338,22.662,93.688,6.312,28.68,224,0.875,bicubic dla102,78.032,21.968,93.946,6.054,33.27,224,0.875,bilinear
mobilenetv2_120d,77.328,22.672,93.478,6.522,5.83,224,0.875,bicubic gluon_resnet50_v1c,78.012,21.988,93.988,6.012,25.58,224,0.875,bicubic
densenet201,77.320,22.680,93.482,6.518,20.01,224,0.875,bicubic seresnext26t_32x4d,77.986,22.014,93.746,6.254,16.81,224,0.875,bicubic
tv_resnet101,77.314,22.686,93.556,6.444,44.55,224,0.875,bilinear selecsls60,77.982,22.018,93.828,6.172,30.67,224,0.875,bicubic
tf_efficientnet_cc_b0_4e,77.296,22.704,93.360,6.640,13.31,224,0.875,bicubic res2net50_26w_4s,77.964,22.036,93.854,6.146,25.70,224,0.875,bilinear
mixnet_m,77.176,22.824,93.426,6.574,5.01,224,0.875,bicubic tf_efficientnet_cc_b0_8e,77.908,22.092,93.654,6.346,24.01,224,0.875,bicubic
legacy_seresnext26_32x4d,77.116,22.884,93.358,6.642,16.79,224,0.875,bicubic regnety_016,77.862,22.138,93.720,6.280,11.20,224,0.875,bicubic
selecsls42b,77.096,22.904,93.424,6.576,32.46,224,0.875,bicubic vit_small_patch16_224,77.858,22.142,93.416,6.584,48.75,224,0.900,bicubic
resnet34d,77.096,22.904,93.392,6.608,21.82,224,0.875,bicubic rexnet_100,77.858,22.142,93.870,6.130,4.80,224,0.875,bicubic
tf_efficientnet_b0_ap,77.072,22.928,93.262,6.738,5.29,224,0.875,bicubic tf_inception_v3,77.858,22.142,93.638,6.362,23.83,299,0.875,bicubic
tf_mixnet_m,76.964,23.036,93.212,6.788,5.01,224,0.875,bicubic hardcorenas_e,77.794,22.206,93.694,6.306,8.07,224,0.875,bilinear
dla60,76.924,23.076,93.290,6.710,22.04,224,0.875,bilinear efficientnet_b0,77.698,22.302,93.532,6.468,5.29,224,0.875,bicubic
regnetx_016,76.914,23.086,93.372,6.628,9.19,224,0.875,bicubic legacy_seresnet50,77.630,22.370,93.748,6.252,28.09,224,0.875,bilinear
skresnet34,76.910,23.090,93.272,6.728,22.28,224,0.875,bicubic tv_resnext50_32x4d,77.620,22.380,93.696,6.304,25.03,224,0.875,bilinear
gernet_s,76.874,23.126,93.128,6.872,8.17,224,0.875,bilinear seresnext26d_32x4d,77.602,22.398,93.608,6.392,16.81,224,0.875,bicubic
hrnet_w18,76.832,23.168,93.404,6.596,21.30,224,0.875,bilinear repvgg_b1g4,77.594,22.406,93.826,6.174,39.97,224,0.875,bilinear
tf_efficientnet_b0,76.830,23.170,93.272,6.728,5.29,224,0.875,bicubic adv_inception_v3,77.582,22.418,93.736,6.264,23.83,299,0.875,bicubic
ese_vovnet19b_dw,76.772,23.228,93.276,6.724,6.54,224,0.875,bicubic gluon_resnet50_v1b,77.580,22.420,93.716,6.284,25.56,224,0.875,bicubic
tf_efficientnet_lite1,76.628,23.372,93.248,6.752,5.42,240,0.882,bicubic res2net50_48w_2s,77.522,22.478,93.554,6.446,25.29,224,0.875,bilinear
resnet26d,76.600,23.400,93.188,6.812,16.01,224,0.875,bicubic tf_efficientnet_lite2,77.468,22.532,93.754,6.246,6.09,260,0.890,bicubic
tf_efficientnet_es,76.562,23.438,93.184,6.816,5.44,224,0.875,bicubic inception_v3,77.438,22.562,93.476,6.524,23.83,299,0.875,bicubic
mobilenetv2_140,76.538,23.462,92.944,7.056,6.11,224,0.875,bicubic hardcorenas_d,77.432,22.568,93.484,6.516,7.50,224,0.875,bilinear
repvgg_a2,76.488,23.512,93.022,6.978,28.21,224,0.875,bilinear tv_resnet101,77.374,22.626,93.540,6.460,44.55,224,0.875,bilinear
densenetblur121d,76.474,23.526,93.096,6.904,8.00,224,0.875,bicubic densenet161,77.358,22.642,93.638,6.362,28.68,224,0.875,bicubic
dpn68,76.378,23.622,92.978,7.022,12.61,224,0.875,bicubic tf_efficientnet_cc_b0_4e,77.306,22.694,93.334,6.666,13.31,224,0.875,bicubic
regnety_008,76.324,23.676,93.100,6.900,6.26,224,0.875,bicubic densenet201,77.286,22.714,93.478,6.522,20.01,224,0.875,bicubic
mixnet_s,76.062,23.938,92.826,7.174,4.13,224,0.875,bicubic mobilenetv2_120d,77.284,22.716,93.492,6.508,5.83,224,0.875,bicubic
tv_resnet50,76.012,23.988,92.934,7.066,25.56,224,0.875,bilinear mixnet_m,77.260,22.740,93.424,6.576,5.01,224,0.875,bicubic
densenet169,75.950,24.050,92.994,7.006,14.15,224,0.875,bicubic selecsls42b,77.174,22.826,93.390,6.610,32.46,224,0.875,bicubic
mobilenetv3_large_100,75.710,24.290,92.496,7.504,5.48,224,0.875,bicubic resnet34d,77.116,22.884,93.382,6.618,21.82,224,0.875,bicubic
tf_mixnet_s,75.658,24.342,92.618,7.382,4.13,224,0.875,bicubic legacy_seresnext26_32x4d,77.104,22.896,93.316,6.684,16.79,224,0.875,bicubic
resnest14d,75.588,24.412,92.488,7.512,10.61,224,0.875,bilinear tf_efficientnet_b0_ap,77.086,22.914,93.256,6.744,5.29,224,0.875,bicubic
mobilenetv3_rw,75.542,24.458,92.676,7.324,5.48,224,0.875,bicubic hardcorenas_c,77.054,22.946,93.158,6.842,5.52,224,0.875,bilinear
densenet121,75.530,24.470,92.616,7.384,7.98,224,0.875,bicubic dla60,77.032,22.968,93.318,6.682,22.04,224,0.875,bilinear
tf_mobilenetv3_large_100,75.520,24.480,92.550,7.450,5.48,224,0.875,bilinear regnetx_016,76.950,23.050,93.420,6.580,9.19,224,0.875,bicubic
efficientnet_lite0,75.444,24.556,92.544,7.456,4.65,224,0.875,bicubic tf_mixnet_m,76.942,23.058,93.152,6.848,5.01,224,0.875,bicubic
semnasnet_100,75.426,24.574,92.548,7.452,3.89,224,0.875,bicubic gernet_s,76.916,23.084,93.132,6.868,8.17,224,0.875,bilinear
resnet26,75.394,24.606,92.584,7.416,16.00,224,0.875,bicubic skresnet34,76.912,23.088,93.322,6.678,22.28,224,0.875,bicubic
repvgg_b0,75.214,24.786,92.454,7.546,15.82,224,0.875,bilinear tf_efficientnet_b0,76.848,23.152,93.228,6.772,5.29,224,0.875,bicubic
regnety_006,75.206,24.794,92.560,7.440,6.06,224,0.875,bicubic ese_vovnet19b_dw,76.798,23.202,93.268,6.732,6.54,224,0.875,bicubic
hrnet_w18_small_v2,75.164,24.836,92.430,7.570,15.60,224,0.875,bilinear hrnet_w18,76.758,23.242,93.444,6.556,21.30,224,0.875,bilinear
resnet34,75.096,24.904,92.246,7.754,21.80,224,0.875,bilinear resnet26d,76.696,23.304,93.150,6.850,16.01,224,0.875,bicubic
fbnetc_100,75.082,24.918,92.354,7.646,5.57,224,0.875,bilinear tf_efficientnet_lite1,76.642,23.358,93.226,6.774,5.42,240,0.882,bicubic
mobilenetv2_110d,75.048,24.952,92.132,7.868,4.52,224,0.875,bicubic tf_efficientnet_es,76.594,23.406,93.202,6.798,5.44,224,0.875,bicubic
regnetx_008,75.026,24.974,92.332,7.668,7.26,224,0.875,bicubic densenetblur121d,76.588,23.412,93.192,6.808,8.00,224,0.875,bicubic
legacy_seresnet34,74.912,25.088,92.164,7.836,21.96,224,0.875,bilinear hardcorenas_b,76.538,23.462,92.754,7.246,5.18,224,0.875,bilinear
tf_efficientnet_lite0,74.868,25.132,92.130,7.870,4.65,224,0.875,bicubic mobilenetv2_140,76.516,23.484,92.996,7.004,6.11,224,0.875,bicubic
tv_densenet121,74.746,25.254,92.130,7.870,7.98,224,0.875,bicubic repvgg_a2,76.460,23.540,93.004,6.996,28.21,224,0.875,bilinear
mnasnet_100,74.692,25.308,92.140,7.860,4.38,224,0.875,bicubic dpn68,76.318,23.682,92.978,7.022,12.61,224,0.875,bicubic
dla34,74.636,25.364,92.122,7.878,15.74,224,0.875,bilinear regnety_008,76.316,23.684,93.066,6.934,6.26,224,0.875,bicubic
gluon_resnet34_v1b,74.496,25.504,92.008,7.992,21.80,224,0.875,bicubic tv_resnet50,76.138,23.862,92.864,7.136,25.56,224,0.875,bilinear
vit_deit_tiny_distilled_patch16_224,74.494,25.506,91.884,8.116,5.91,224,0.900,bicubic mixnet_s,75.992,24.008,92.796,7.204,4.13,224,0.875,bicubic
vgg19_bn,74.216,25.784,91.848,8.152,143.68,224,0.875,bilinear hardcorenas_a,75.916,24.084,92.514,7.486,5.26,224,0.875,bilinear
spnasnet_100,74.120,25.880,91.882,8.118,4.42,224,0.875,bilinear densenet169,75.906,24.094,93.026,6.974,14.15,224,0.875,bicubic
regnetx_006,73.962,26.038,91.684,8.316,6.20,224,0.875,bicubic mobilenetv3_large_100,75.766,24.234,92.542,7.458,5.48,224,0.875,bicubic
regnety_004,73.942,26.058,91.754,8.246,4.34,224,0.875,bicubic tf_mixnet_s,75.650,24.350,92.628,7.372,4.13,224,0.875,bicubic
vgg16_bn,73.476,26.524,91.536,8.464,138.37,224,0.875,bilinear mobilenetv3_rw,75.634,24.366,92.708,7.292,5.48,224,0.875,bicubic
tf_mobilenetv3_large_075,73.372,26.628,91.404,8.596,3.99,224,0.875,bilinear densenet121,75.578,24.422,92.652,7.348,7.98,224,0.875,bicubic
swsl_resnet18,73.318,26.682,91.752,8.248,11.69,224,0.875,bilinear tf_mobilenetv3_large_100,75.518,24.482,92.606,7.394,5.48,224,0.875,bilinear
tv_resnet34,73.266,26.734,91.430,8.570,21.80,224,0.875,bilinear resnest14d,75.504,24.496,92.518,7.482,10.61,224,0.875,bilinear
skresnet18,73.000,27.000,91.156,8.844,11.96,224,0.875,bicubic efficientnet_lite0,75.484,24.516,92.510,7.490,4.65,224,0.875,bicubic
mobilenetv2_100,72.956,27.044,91.042,8.958,3.50,224,0.875,bicubic semnasnet_100,75.448,24.552,92.604,7.396,3.89,224,0.875,bicubic
regnetx_004,72.536,27.464,90.842,9.158,5.16,224,0.875,bicubic resnet26,75.292,24.708,92.570,7.430,16.00,224,0.875,bicubic
ssl_resnet18,72.492,27.508,91.442,8.558,11.69,224,0.875,bilinear regnety_006,75.246,24.754,92.532,7.468,6.06,224,0.875,bicubic
resnet18d,72.380,27.620,90.710,9.290,11.71,224,0.875,bicubic repvgg_b0,75.152,24.848,92.418,7.582,15.82,224,0.875,bilinear
vgg19,72.360,27.640,90.850,9.150,143.67,224,0.875,bilinear fbnetc_100,75.124,24.876,92.386,7.614,5.57,224,0.875,bilinear
hrnet_w18_small,72.276,27.724,90.586,9.414,13.19,224,0.875,bilinear hrnet_w18_small_v2,75.114,24.886,92.416,7.584,15.60,224,0.875,bilinear
tf_mobilenetv3_large_minimal_100,72.228,27.772,90.682,9.318,3.92,224,0.875,bilinear resnet34,75.110,24.890,92.284,7.716,21.80,224,0.875,bilinear
vit_deit_tiny_patch16_224,72.196,27.804,91.092,8.908,5.72,224,0.900,bicubic regnetx_008,75.038,24.962,92.336,7.664,7.26,224,0.875,bicubic
legacy_seresnet18,71.752,28.248,90.308,9.692,11.78,224,0.875,bicubic mobilenetv2_110d,75.036,24.964,92.186,7.814,4.52,224,0.875,bicubic
vgg16,71.628,28.372,90.368,9.632,138.36,224,0.875,bilinear efficientnet_es_pruned,75.000,25.000,92.448,7.552,5.44,224,0.875,bicubic
vgg13_bn,71.618,28.382,90.360,9.640,133.05,224,0.875,bilinear tf_efficientnet_lite0,74.830,25.170,92.176,7.824,4.65,224,0.875,bicubic
gluon_resnet18_v1b,70.922,29.078,89.770,10.230,11.69,224,0.875,bicubic legacy_seresnet34,74.808,25.192,92.124,7.876,21.96,224,0.875,bilinear
vgg11_bn,70.408,29.592,89.724,10.276,132.87,224,0.875,bilinear tv_densenet121,74.738,25.262,92.150,7.850,7.98,224,0.875,bicubic
regnety_002,70.326,29.674,89.556,10.444,3.16,224,0.875,bicubic mnasnet_100,74.658,25.342,92.114,7.886,4.38,224,0.875,bicubic
vgg13,69.984,30.016,89.306,10.694,133.05,224,0.875,bilinear dla34,74.630,25.370,92.078,7.922,15.74,224,0.875,bilinear
resnet18,69.644,30.356,88.982,11.018,11.69,224,0.875,bilinear gluon_resnet34_v1b,74.588,25.412,91.990,8.010,21.80,224,0.875,bicubic
vgg11,68.872,31.128,88.658,11.342,132.86,224,0.875,bilinear pit_ti_distilled_224,74.530,25.470,92.096,7.904,5.10,224,0.900,bicubic
regnetx_002,68.830,31.170,88.510,11.490,2.68,224,0.875,bicubic vit_deit_tiny_distilled_patch16_224,74.510,25.490,91.890,8.110,5.91,224,0.900,bicubic
dla60x_c,67.952,32.048,88.438,11.562,1.32,224,0.875,bilinear vgg19_bn,74.214,25.786,91.842,8.158,143.68,224,0.875,bilinear
tf_mobilenetv3_small_100,67.876,32.124,87.682,12.318,2.54,224,0.875,bilinear spnasnet_100,74.084,25.916,91.818,8.182,4.42,224,0.875,bilinear
dla46x_c,65.930,34.070,87.004,12.996,1.07,224,0.875,bilinear regnety_004,74.034,25.966,91.752,8.248,4.34,224,0.875,bicubic
tf_mobilenetv3_small_075,65.732,34.268,86.168,13.832,2.04,224,0.875,bilinear regnetx_006,73.852,26.148,91.672,8.328,6.20,224,0.875,bicubic
dla46_c,64.930,35.070,86.308,13.692,1.30,224,0.875,bilinear tf_mobilenetv3_large_075,73.438,26.562,91.350,8.650,3.99,224,0.875,bilinear
tf_mobilenetv3_small_minimal_100,62.744,37.256,84.380,15.620,2.04,224,0.875,bilinear vgg16_bn,73.350,26.650,91.506,8.494,138.37,224,0.875,bilinear
tv_resnet34,73.312,26.688,91.426,8.574,21.80,224,0.875,bilinear
swsl_resnet18,73.276,26.724,91.734,8.266,11.69,224,0.875,bilinear
skresnet18,73.038,26.962,91.168,8.832,11.96,224,0.875,bicubic
mobilenetv2_100,72.970,27.030,91.016,8.984,3.50,224,0.875,bicubic
pit_ti_224,72.912,27.088,91.402,8.598,4.85,224,0.900,bicubic
ssl_resnet18,72.610,27.390,91.416,8.584,11.69,224,0.875,bilinear
regnetx_004,72.396,27.604,90.830,9.170,5.16,224,0.875,bicubic
vgg19,72.368,27.632,90.872,9.128,143.67,224,0.875,bilinear
hrnet_w18_small,72.344,27.656,90.678,9.322,13.19,224,0.875,bilinear
resnet18d,72.260,27.740,90.696,9.304,11.71,224,0.875,bicubic
tf_mobilenetv3_large_minimal_100,72.248,27.752,90.630,9.370,3.92,224,0.875,bilinear
vit_deit_tiny_patch16_224,72.168,27.832,91.118,8.882,5.72,224,0.900,bicubic
legacy_seresnet18,71.742,28.258,90.334,9.666,11.78,224,0.875,bicubic
vgg13_bn,71.594,28.406,90.376,9.624,133.05,224,0.875,bilinear
vgg16,71.594,28.406,90.382,9.618,138.36,224,0.875,bilinear
gluon_resnet18_v1b,70.836,29.164,89.762,10.238,11.69,224,0.875,bicubic
vgg11_bn,70.360,29.640,89.802,10.198,132.87,224,0.875,bilinear
regnety_002,70.252,29.748,89.540,10.460,3.16,224,0.875,bicubic
vgg13,69.926,30.074,89.246,10.754,133.05,224,0.875,bilinear
resnet18,69.748,30.252,89.078,10.922,11.69,224,0.875,bilinear
vgg11,69.024,30.976,88.628,11.372,132.86,224,0.875,bilinear
regnetx_002,68.762,31.238,88.556,11.444,2.68,224,0.875,bicubic
tf_mobilenetv3_small_100,67.922,32.078,87.664,12.336,2.54,224,0.875,bilinear
dla60x_c,67.892,32.108,88.426,11.574,1.32,224,0.875,bilinear
dla46x_c,65.970,34.030,86.980,13.020,1.07,224,0.875,bilinear
tf_mobilenetv3_small_075,65.716,34.284,86.130,13.870,2.04,224,0.875,bilinear
dla46_c,64.866,35.134,86.292,13.708,1.30,224,0.875,bilinear
tf_mobilenetv3_small_minimal_100,62.906,37.094,84.230,15.770,2.04,224,0.875,bilinear

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
2 tf_efficientnet_l2_ns 88.336 88.352 11.664 11.648 98.664 98.650 1.336 1.350 480.31 800 0.960 bicubic
3 tf_efficientnet_l2_ns_475 88.230 88.234 11.770 11.766 98.546 1.454 480.31 475 0.936 bicubic
4 tf_efficientnet_b7_ns swin_large_patch4_window12_384 86.830 87.148 13.170 12.852 98.092 98.234 1.908 1.766 66.35 196.74 600 384 0.949 1.000 bicubic
5 tf_efficientnet_b6_ns tf_efficientnet_b7_ns 86.462 86.840 13.538 13.160 97.878 98.094 2.122 1.906 43.04 66.35 528 600 0.942 0.949 bicubic
6 dm_nfnet_f6 tf_efficientnet_b6_ns 86.306 86.452 13.694 13.548 97.742 97.882 2.258 2.118 438.36 43.04 576 528 0.956 0.942 bicubic
7 tf_efficientnet_b5_ns swin_base_patch4_window12_384 86.072 86.432 13.928 13.568 97.748 98.058 2.252 1.942 30.39 87.90 456 384 0.934 1.000 bicubic
8 dm_nfnet_f4 swin_large_patch4_window7_224 85.726 86.320 14.274 13.680 97.518 97.896 2.482 2.104 316.07 196.53 512 224 0.951 0.900 bicubic
9 dm_nfnet_f5 dm_nfnet_f6 85.720 86.296 14.280 13.704 97.436 97.744 2.564 2.256 377.21 438.36 544 576 0.954 0.956 bicubic
10 dm_nfnet_f3 tf_efficientnet_b5_ns 85.582 86.088 14.418 13.912 97.390 97.752 2.610 2.248 254.92 30.39 416 456 0.940 0.934 bicubic
11 ig_resnext101_32x48d dm_nfnet_f5 85.502 85.714 14.498 14.286 97.548 97.442 2.452 2.558 828.41 377.21 224 544 0.875 0.954 bilinear bicubic
12 vit_deit_base_distilled_patch16_384 dm_nfnet_f4 85.422 85.658 14.578 14.342 97.334 97.510 2.666 2.490 87.63 316.07 384 512 1.000 0.951 bicubic
13 tf_efficientnet_b8 dm_nfnet_f3 85.384 85.560 14.616 14.440 97.400 97.406 2.600 2.594 87.41 254.92 672 416 0.954 0.940 bicubic
14 tf_efficientnet_b8_ap ig_resnext101_32x48d 85.384 85.428 14.616 14.572 97.298 97.572 2.702 2.428 87.41 828.41 672 224 0.954 0.875 bicubic bilinear
15 tf_efficientnet_b4_ns vit_deit_base_distilled_patch16_384 85.194 85.422 14.806 14.578 97.500 97.332 2.500 2.668 19.34 87.63 380 384 0.922 1.000 bicubic
16 vit_large_patch16_384 tf_efficientnet_b8 85.170 85.370 14.830 14.630 97.344 97.390 2.656 2.610 304.72 87.41 384 672 1.000 0.954 bicubic
17 ig_resnext101_32x32d tf_efficientnet_b8_ap 85.146 85.370 14.854 14.630 97.456 97.294 2.544 2.706 468.53 87.41 224 672 0.875 0.954 bilinear bicubic
18 tf_efficientnet_b7_ap swin_base_patch4_window7_224 85.124 85.252 14.876 14.748 97.256 97.562 2.744 2.438 66.35 87.77 600 224 0.949 0.900 bicubic
19 vit_base_resnet50_384 tf_efficientnet_b4_ns 84.994 85.162 15.006 14.838 97.294 97.470 2.706 2.530 98.95 19.34 384 380 1.000 0.922 bicubic
20 dm_nfnet_f2 vit_large_patch16_384 84.968 85.158 15.032 14.842 97.124 97.356 2.876 2.644 193.78 304.72 352 384 0.920 1.000 bicubic
21 tf_efficientnet_b7 tf_efficientnet_b7_ap 84.936 85.120 15.064 14.880 97.208 97.252 2.792 2.748 66.35 600 0.949 bicubic
22 ecaresnet269d ig_resnext101_32x32d 84.926 85.094 15.074 14.906 97.236 97.438 2.764 2.562 102.09 468.53 352 224 1.000 0.875 bicubic bilinear
23 resnetv2_152x4_bitm dm_nfnet_f2 84.916 84.990 15.084 15.010 97.444 97.144 2.556 2.856 936.53 193.78 480 352 1.000 0.920 bilinear bicubic
24 tf_efficientnet_b6_ap ecaresnet269d 84.790 84.976 15.210 15.024 97.136 97.226 2.864 2.774 43.04 102.09 528 352 0.942 1.000 bicubic
25 dm_nfnet_f1 vit_base_r50_s16_384 84.594 84.972 15.406 15.028 97.080 97.288 2.920 2.712 132.63 98.95 320 384 0.910 1.000 bicubic
26 resnest269e tf_efficientnet_b7 84.518 84.936 15.482 15.064 97.002 97.204 2.998 2.796 110.93 66.35 416 600 0.928 0.949 bicubic
27 resnetv2_152x2_bitm resnetv2_152x4_bitm 84.428 84.932 15.572 15.068 97.452 97.436 2.548 2.564 236.34 936.53 480 1.000 bilinear
28 resnetv2_101x3_bitm tf_efficientnet_b6_ap 84.392 84.788 15.608 15.212 97.358 97.138 2.642 2.862 387.93 43.04 480 528 1.000 0.942 bilinear bicubic
29 seresnet152d dm_nfnet_f1 84.350 84.604 15.650 15.396 97.042 97.068 2.958 2.932 66.84 132.63 320 1.000 0.910 bicubic
30 swsl_resnext101_32x8d resnest269e 84.332 84.518 15.668 15.482 97.154 96.986 2.846 3.014 88.79 110.93 224 416 0.875 0.928 bilinear bicubic
31 tf_efficientnet_b5_ap resnetv2_152x2_bitm 84.260 84.440 15.740 15.560 96.974 97.446 3.026 2.554 30.39 236.34 456 480 0.934 1.000 bicubic bilinear
32 vit_base_patch16_384 resnetv2_101x3_bitm 84.212 84.394 15.788 15.606 97.216 97.362 2.784 2.638 86.86 387.93 384 480 1.000 bicubic bilinear
33 ig_resnext101_32x16d seresnet152d 84.168 84.362 15.832 15.638 97.196 97.040 2.804 2.960 194.03 66.84 224 320 0.875 1.000 bilinear bicubic
34 tf_efficientnet_b6 swsl_resnext101_32x8d 84.122 84.284 15.878 15.716 96.890 97.176 3.110 2.824 43.04 88.79 528 224 0.942 0.875 bicubic bilinear
35 tf_efficientnet_b3_ns tf_efficientnet_b5_ap 84.012 84.252 15.988 15.748 96.910 96.974 3.090 3.026 12.23 30.39 300 456 0.904 0.934 bicubic
36 resnet200d vit_base_patch16_384 84.000 84.210 16.000 15.790 96.824 97.218 3.176 2.782 64.69 86.86 320 384 1.000 bicubic
37 resnest200e ig_resnext101_32x16d 83.840 84.170 16.160 15.830 96.858 97.196 3.142 2.804 70.20 194.03 320 224 0.909 0.875 bicubic bilinear
38 tf_efficientnet_b5 pit_b_distilled_224 83.820 84.144 16.180 15.856 96.760 96.856 3.240 3.144 30.39 74.79 456 224 0.934 0.900 bicubic
39 resnetv2_50x3_bitm tf_efficientnet_b6 83.800 84.110 16.200 15.890 97.110 96.886 2.890 3.114 217.32 43.04 480 528 1.000 0.942 bilinear bicubic
40 resnet152d tf_efficientnet_b3_ns 83.664 84.048 16.336 15.952 96.726 96.910 3.274 3.090 60.21 12.23 320 300 1.000 0.904 bicubic
41 swsl_resnext101_32x16d eca_nfnet_l1 83.464 84.008 16.536 15.992 96.866 97.028 3.134 2.972 194.03 41.41 224 320 0.875 1.000 bilinear bicubic
42 vit_deit_base_distilled_patch16_224 resnet200d 83.372 83.962 16.628 16.038 96.504 96.824 3.496 3.176 87.34 64.69 224 320 0.900 1.000 bicubic
43 dm_nfnet_f0 resnest200e 83.370 83.832 16.630 16.168 96.558 96.894 3.442 3.106 71.49 70.20 256 320 0.900 0.909 bicubic
44 swsl_resnext101_32x4d tf_efficientnet_b5 83.252 83.812 16.748 16.188 96.768 96.748 3.232 3.252 44.18 30.39 224 456 0.875 0.934 bilinear bicubic
45 tf_efficientnet_b4_ap resnetv2_50x3_bitm 83.224 83.784 16.776 16.216 96.366 97.106 3.634 2.894 19.34 217.32 380 480 0.922 1.000 bicubic bilinear
46 vit_deit_base_patch16_384 regnety_160 83.092 83.686 16.908 16.314 96.352 96.776 3.648 3.224 86.86 83.59 384 288 1.000 bicubic
47 vit_large_patch16_224 resnet152d 83.060 83.680 16.940 16.320 96.424 96.738 3.576 3.262 304.33 60.21 224 320 0.900 1.000 bicubic
48 tresnet_xl_448 vit_deit_base_distilled_patch16_224 83.042 83.388 16.958 16.612 96.182 96.488 3.818 3.512 78.44 87.34 448 224 0.875 0.900 bilinear bicubic
49 resnet101d swsl_resnext101_32x16d 83.000 83.346 17.000 16.654 96.460 96.846 3.540 3.154 44.57 194.03 320 224 1.000 0.875 bicubic bilinear
50 tf_efficientnet_b4 dm_nfnet_f0 82.974 83.342 17.026 16.658 96.292 96.560 3.708 3.440 19.34 71.49 380 256 0.922 0.900 bicubic
51 resnest101e tf_efficientnet_b4_ap 82.824 83.248 17.176 16.752 96.310 96.392 3.690 3.608 48.28 19.34 256 380 0.875 0.922 bilinear bicubic
52 pnasnet5large swsl_resnext101_32x4d 82.786 83.230 17.214 16.770 96.076 96.760 3.924 3.240 86.06 44.18 331 224 0.911 0.875 bicubic bilinear
53 ig_resnext101_32x8d swin_small_patch4_window7_224 82.660 83.212 17.340 16.788 96.684 96.322 3.316 3.678 88.79 49.61 224 0.875 0.900 bilinear bicubic
54 nasnetalarge vit_deit_base_patch16_384 82.640 83.106 17.360 16.894 96.052 96.372 3.948 3.628 88.75 86.86 331 384 0.911 1.000 bicubic
55 tf_efficientnet_b2_ns vit_large_patch16_224 82.366 83.062 17.634 16.938 96.260 96.438 3.740 3.562 9.11 304.33 260 224 0.890 0.900 bicubic
56 ecaresnet50t tresnet_xl_448 82.348 83.050 17.652 16.950 96.144 96.174 3.856 3.826 25.57 78.44 320 448 0.950 0.875 bicubic bilinear
57 tresnet_l_448 resnet101d 82.290 83.022 17.710 16.978 95.978 96.446 4.022 3.554 55.99 44.57 448 320 0.875 1.000 bilinear bicubic
58 efficientnet_b3a tf_efficientnet_b4 82.232 83.022 17.768 16.978 96.126 96.300 3.874 3.700 12.23 19.34 320 380 1.000 0.922 bicubic
59 resnetv2_101x1_bitm resnest101e 82.208 82.890 17.792 17.110 96.460 96.320 3.540 3.680 44.54 48.28 480 256 1.000 0.875 bilinear
60 swsl_resnext50_32x4d pnasnet5large 82.186 82.782 17.814 17.218 96.264 96.040 3.736 3.960 25.03 86.06 224 331 0.875 0.911 bilinear bicubic
61 tresnet_xl nfnet_l0 82.166 82.760 17.834 17.240 95.934 96.498 4.066 3.502 78.44 35.07 224 288 0.875 1.000 bilinear bicubic
62 ecaresnet101d regnety_032 82.118 82.724 17.882 17.276 96.040 96.424 3.960 3.576 44.57 19.44 224 288 0.875 1.000 bicubic
63 efficientnet_b3 ig_resnext101_32x8d 82.032 82.688 17.968 17.312 96.036 96.636 3.964 3.364 12.23 88.79 300 224 0.904 0.875 bicubic bilinear
64 regnety_032 nasnetalarge 82.016 82.620 17.984 17.380 95.932 96.046 4.068 3.954 19.44 88.75 224 331 0.875 0.911 bicubic
65 vit_deit_base_patch16_224 eca_nfnet_l0 81.994 82.588 18.006 17.412 95.738 96.474 4.262 3.526 86.57 24.14 224 288 0.900 1.000 bicubic
66 ssl_resnext101_32x16d pit_b_224 81.846 82.446 18.154 17.554 96.132 95.710 3.868 4.290 194.03 73.76 224 0.875 0.900 bilinear bicubic
67 tf_efficientnet_b3_ap tf_efficientnet_b2_ns 81.802 82.380 18.198 17.620 95.600 96.248 4.400 3.752 12.23 9.11 300 260 0.904 0.890 bicubic
68 vit_base_patch16_224 ecaresnet50t 81.780 82.346 18.220 17.654 96.112 96.138 3.888 3.862 86.57 25.57 224 320 0.900 0.950 bicubic
69 tresnet_m_448 tresnet_l_448 81.692 82.268 18.308 17.732 95.560 95.976 4.440 4.024 31.39 55.99 448 0.875 bilinear
70 rexnet_200 efficientnet_b3a 81.688 82.242 18.312 17.758 95.690 96.114 4.310 3.886 16.37 12.23 224 320 0.875 1.000 bicubic
71 vit_base_patch32_384 resnetv2_101x1_bitm 81.664 82.212 18.336 17.788 96.128 96.472 3.872 3.528 88.30 44.54 384 480 1.000 bicubic bilinear
72 tf_efficientnet_b3 swsl_resnext50_32x4d 81.626 82.182 18.374 17.818 95.706 96.230 4.294 3.770 12.23 25.03 300 224 0.904 0.875 bicubic bilinear
73 ssl_resnext101_32x8d ecaresnet101d 81.600 82.172 18.400 17.828 96.022 96.046 3.978 3.954 88.79 44.57 224 0.875 bilinear bicubic
74 tf_efficientnet_lite4 efficientnet_b3 81.516 82.076 18.484 17.924 95.624 96.020 4.376 3.980 13.01 12.23 380 300 0.920 0.904 bilinear bicubic
75 vit_large_patch32_384 efficientnet_v2s 81.506 82.070 18.494 17.930 96.108 95.954 3.892 4.046 306.63 23.94 384 224 1.000 bicubic
76 tresnet_l tresnet_xl 81.490 82.054 18.510 17.946 95.584 95.936 4.416 4.064 55.99 78.44 224 0.875 bilinear
77 tf_efficientnet_b1_ns vit_deit_base_patch16_224 81.398 81.998 18.602 18.002 95.730 95.734 4.270 4.266 7.79 86.57 240 224 0.882 0.900 bicubic
78 gernet_l pit_s_distilled_224 81.344 81.996 18.656 18.004 95.540 95.798 4.460 4.202 31.08 24.04 256 224 0.875 0.900 bilinear bicubic
79 legacy_senet154 ssl_resnext101_32x16d 81.322 81.844 18.678 18.156 95.454 96.096 4.546 3.904 115.09 194.03 224 0.875 bilinear
80 wide_resnet50_2 tf_efficientnet_b3_ap 81.306 81.822 18.694 18.178 95.588 95.624 4.412 4.376 68.88 12.23 224 300 0.875 0.904 bicubic
81 seresnext50_32x4d vit_base_patch16_224 81.270 81.786 18.730 18.214 95.656 96.122 4.344 3.878 27.56 86.57 224 0.875 0.900 bicubic
82 vit_deit_small_distilled_patch16_224 tresnet_m_448 81.250 81.714 18.750 18.286 95.396 95.572 4.604 4.428 22.44 31.39 224 448 0.900 0.875 bicubic bilinear
83 gluon_senet154 vit_base_patch32_384 81.216 81.652 18.784 18.348 95.320 96.128 4.680 3.872 115.09 88.30 224 384 0.875 1.000 bicubic
84 resnest50d_4s2x40d tf_efficientnet_b3 81.148 81.636 18.852 18.364 95.552 95.718 4.448 4.282 30.42 12.23 224 300 0.875 0.904 bicubic
85 swsl_resnet50 rexnet_200 81.124 81.632 18.876 18.368 95.988 95.668 4.012 4.332 25.56 16.37 224 0.875 bilinear bicubic
86 ssl_resnext101_32x4d ssl_resnext101_32x8d 81.024 81.616 18.976 18.384 95.748 96.038 4.252 3.962 44.18 88.79 224 0.875 bilinear
87 gluon_resnet152_v1s tf_efficientnet_lite4 81.020 81.536 18.980 18.464 95.426 95.668 4.574 4.332 60.32 13.01 224 380 0.875 0.920 bicubic bilinear
88 resnest50d tnt_s_patch16_224 80.970 81.518 19.030 18.482 95.350 95.748 4.650 4.252 27.48 23.76 224 0.875 0.900 bilinear bicubic
89 resnest50d_1s4x24d vit_large_patch32_384 80.938 81.506 19.062 18.494 95.318 96.092 4.682 3.908 25.68 306.63 224 384 0.875 1.000 bicubic
90 ecaresnet101d_pruned tresnet_l 80.886 81.490 19.114 18.510 95.572 95.624 4.428 4.376 24.88 55.99 224 0.875 bicubic bilinear
91 gluon_seresnext101_32x4d wide_resnet50_2 80.878 81.456 19.122 18.544 95.274 95.532 4.726 4.468 48.96 68.88 224 0.875 bicubic
92 gluon_seresnext101_64x4d tf_efficientnet_b1_ns 80.852 81.388 19.148 18.612 95.336 95.738 4.664 4.262 88.23 7.79 224 240 0.875 0.882 bicubic
93 efficientnet_b3_pruned swin_tiny_patch4_window7_224 80.820 81.378 19.180 18.622 95.224 95.540 4.776 4.460 9.86 28.29 300 224 0.904 0.900 bicubic
94 regnety_320 gernet_l 80.782 81.354 19.218 18.646 95.262 95.536 4.738 4.464 145.05 31.08 224 256 0.875 bicubic bilinear
95 gernet_m efficientnet_el 80.730 81.316 19.270 18.684 95.212 95.526 4.788 4.474 21.14 10.59 224 300 0.875 0.904 bilinear bicubic
96 tresnet_m legacy_senet154 80.720 81.310 19.280 18.690 94.856 95.496 5.144 4.504 31.39 115.09 224 0.875 bilinear
97 nf_resnet50 seresnext50_32x4d 80.666 81.266 19.334 18.734 95.358 95.620 4.642 4.380 25.56 27.56 288 224 0.940 0.875 bicubic
98 gluon_resnext101_64x4d gluon_senet154 80.636 81.234 19.364 18.766 94.990 95.348 5.010 4.652 83.46 115.09 224 0.875 bicubic
99 ecaresnet50d vit_deit_small_distilled_patch16_224 80.614 81.200 19.386 18.800 95.314 95.378 4.686 4.622 25.58 22.44 224 0.875 0.900 bicubic
100 efficientnet_b2a swsl_resnet50 80.608 81.166 19.392 18.834 95.298 95.972 4.702 4.028 9.11 25.56 288 224 1.000 0.875 bicubic bilinear
101 resnet50d resnest50d_4s2x40d 80.492 81.108 19.508 18.892 95.128 95.558 4.872 4.442 25.58 30.42 224 0.875 bicubic
102 gluon_resnet152_v1d pit_s_224 80.480 81.094 19.520 18.906 95.262 95.332 4.738 4.668 60.21 23.46 224 0.875 0.900 bicubic
103 ecaresnetlight gluon_resnet152_v1s 80.460 81.016 19.540 18.984 95.202 95.412 4.798 4.588 30.16 60.32 224 0.875 bicubic
104 inception_resnet_v2 resnest50d_1s4x24d 80.448 80.988 19.552 19.012 95.292 95.322 4.708 4.678 55.84 25.68 299 224 0.897 0.875 bicubic
105 repvgg_b3 resnest50d 80.440 80.974 19.560 19.026 95.194 95.378 4.806 4.622 123.09 27.48 224 0.875 bilinear
106 gluon_resnet101_v1d ssl_resnext101_32x4d 80.430 80.924 19.570 19.076 95.014 95.728 4.986 4.272 44.57 44.18 224 0.875 bicubic bilinear
107 mixnet_xl gluon_seresnext101_32x4d 80.424 80.904 19.576 19.096 94.888 95.294 5.112 4.706 11.90 48.96 224 0.875 bicubic
108 regnety_160 gluon_seresnext101_64x4d 80.414 80.894 19.586 19.106 94.980 95.308 5.020 4.692 83.59 88.23 224 0.875 bicubic
109 regnety_120 efficientnet_b3_pruned 80.374 80.858 19.626 19.142 95.108 95.242 4.892 4.758 51.82 9.86 224 300 0.875 0.904 bicubic
110 rexnet_150 ecaresnet101d_pruned 80.350 80.816 19.650 19.184 95.202 95.628 4.798 4.372 9.73 24.88 224 0.875 bicubic
111 ssl_resnext50_32x4d regnety_320 80.332 80.812 19.668 19.188 95.382 95.244 4.618 4.756 25.03 145.05 224 0.875 bilinear bicubic
112 efficientnet_b2 tresnet_m 80.314 80.802 19.686 19.198 95.112 94.860 4.888 5.140 9.11 31.39 260 224 0.875 bicubic bilinear
113 regnetx_320 gernet_m 80.314 80.732 19.686 19.268 95.068 95.184 4.932 4.816 107.81 21.14 224 0.875 bicubic bilinear
114 gluon_resnet101_v1s nf_resnet50 80.296 80.694 19.704 19.306 95.176 95.356 4.824 4.644 44.67 25.56 224 288 0.875 0.940 bicubic
115 seresnet50 efficientnet_b2a 80.292 80.612 19.708 19.388 95.048 95.318 4.952 4.682 28.09 9.11 224 288 0.875 1.000 bicubic
116 tf_efficientnet_el gluon_resnext101_64x4d 80.292 80.604 19.708 19.396 95.120 94.988 4.880 5.012 10.59 83.46 300 224 0.904 0.875 bicubic
117 legacy_seresnext101_32x4d ecaresnet50d 80.282 80.592 19.718 19.408 95.024 95.320 4.976 4.680 48.96 25.58 224 0.875 bilinear bicubic
118 tf_efficientnet_b2_ap resnet50d 80.240 80.530 19.760 19.470 94.984 95.160 5.016 4.840 9.11 25.58 260 224 0.890 0.875 bicubic
119 repvgg_b3g4 repvgg_b3 80.238 80.492 19.762 19.508 95.068 95.260 4.932 4.740 83.83 123.09 224 0.875 bilinear
120 gluon_resnext101_32x4d mixnet_xl 80.218 80.476 19.782 19.524 94.908 94.936 5.092 5.064 44.18 11.90 224 0.875 bicubic
121 dpn107 gluon_resnet152_v1d 80.180 80.474 19.820 19.526 94.906 95.206 5.094 4.794 86.92 60.21 224 0.875 bicubic
122 inception_v4 ecaresnetlight 80.154 80.462 19.846 19.538 94.962 95.250 5.038 4.750 42.68 30.16 299 224 0.875 bicubic
123 skresnext50_32x4d inception_resnet_v2 80.154 80.458 19.846 19.542 94.702 95.306 5.298 4.694 27.48 55.84 224 299 0.875 0.897 bicubic
124 resnetv2_50x1_bitm gluon_resnet101_v1d 80.152 80.414 19.848 19.586 95.644 95.014 4.356 4.986 25.55 44.57 480 224 1.000 0.875 bilinear bicubic
125 cspdarknet53 efficientnet_b2 80.050 80.392 19.950 19.608 95.076 4.924 27.64 9.11 256 260 0.887 0.875 bilinear bicubic
126 dpn92 regnety_120 80.034 80.366 19.966 19.634 94.818 95.126 5.182 4.874 37.67 51.82 224 0.875 bicubic
127 tf_efficientnet_b2 gluon_resnext101_32x4d 80.024 80.334 19.976 19.666 94.944 94.926 5.056 5.074 9.11 44.18 260 224 0.890 0.875 bicubic
128 cspresnext50 ssl_resnext50_32x4d 80.006 80.318 19.994 19.682 94.932 95.406 5.068 4.594 20.57 25.03 224 0.875 bilinear
129 gluon_seresnext50_32x4d rexnet_150 79.948 80.310 20.052 19.690 94.836 95.166 5.164 4.834 27.56 9.73 224 0.875 bicubic
130 ens_adv_inception_resnet_v2 gluon_resnet101_v1s 79.930 80.302 20.070 19.698 94.950 95.160 5.050 4.840 55.84 44.67 299 224 0.897 0.875 bicubic
131 ecaresnet26t efficientnet_el_pruned 79.884 80.300 20.116 19.700 95.072 95.218 4.928 4.782 16.01 10.59 320 300 0.950 0.904 bicubic
132 regnetx_160 tf_efficientnet_b2_ap 79.884 80.300 20.116 19.700 94.826 95.028 5.174 4.972 54.28 9.11 224 260 0.875 0.890 bicubic
133 vit_deit_small_patch16_224 seresnet50 79.868 80.274 20.132 19.726 95.042 95.070 4.958 4.930 22.05 28.09 224 0.900 0.875 bicubic
134 dpn131 tf_efficientnet_el 79.866 80.250 20.134 19.750 94.726 95.128 5.274 4.872 79.25 10.59 224 300 0.875 0.904 bicubic
135 gluon_resnet152_v1c regnetx_320 79.850 80.246 20.150 19.754 94.890 95.026 5.110 4.974 60.21 107.81 224 0.875 bicubic
136 xception71 legacy_seresnext101_32x4d 79.846 80.228 20.154 19.772 94.936 95.018 5.064 4.982 42.34 48.96 299 224 0.903 0.875 bicubic bilinear
137 regnety_080 repvgg_b3g4 79.840 80.212 20.160 19.788 94.848 95.110 5.152 4.890 39.18 83.83 224 0.875 bicubic bilinear
138 efficientnet_b2_pruned resnetv2_50x1_bitm 79.832 80.172 20.168 19.828 94.806 95.626 5.194 4.374 8.31 25.55 260 480 0.890 1.000 bicubic bilinear
139 tf_efficientnet_lite3 inception_v4 79.758 80.168 20.242 19.832 94.864 94.968 5.136 5.032 8.20 42.68 300 299 0.904 0.875 bilinear bicubic
140 gluon_xception65 skresnext50_32x4d 79.756 80.156 20.244 19.844 94.852 94.642 5.148 5.358 39.92 27.48 299 224 0.903 0.875 bicubic
141 regnety_064 dpn107 79.736 80.156 20.264 19.844 94.758 94.910 5.242 5.090 30.58 86.92 224 0.875 bicubic
142 resnext50_32x4d tf_efficientnet_b2 79.722 80.086 20.278 19.914 94.606 94.908 5.394 5.092 25.03 9.11 224 260 0.875 0.890 bicubic
143 dpn98 cspdarknet53 79.688 80.058 20.312 19.942 94.644 95.084 5.356 4.916 61.57 27.64 224 256 0.875 0.887 bicubic bilinear
144 resnext50d_32x4d cspresnext50 79.688 80.040 20.312 19.960 94.844 94.944 5.156 5.056 25.05 20.57 224 0.875 bicubic bilinear
145 ecaresnet50d_pruned dpn92 79.676 80.008 20.324 19.992 94.922 94.838 5.078 5.162 19.94 37.67 224 0.875 bicubic
146 gluon_resnet152_v1b ens_adv_inception_resnet_v2 79.634 79.982 20.366 20.018 94.758 94.936 5.242 5.064 60.19 55.84 224 299 0.875 0.897 bicubic
147 xception65 gluon_seresnext50_32x4d 79.592 79.918 20.408 20.082 94.658 94.822 5.342 5.178 39.92 27.56 299 224 0.903 0.875 bicubic
148 cspresnet50 efficientnet_b2_pruned 79.582 79.916 20.418 20.084 94.712 94.856 5.288 5.144 21.62 8.31 256 260 0.887 0.890 bilinear bicubic
149 regnetx_120 gluon_resnet152_v1c 79.574 79.910 20.426 20.090 94.692 94.840 5.308 5.160 46.11 60.21 224 0.875 bicubic
150 gluon_resnet101_v1c regnety_080 79.550 79.876 20.450 20.124 94.642 94.830 5.358 5.170 44.57 39.18 224 0.875 bicubic
151 rexnet_130 xception71 79.516 79.874 20.484 20.126 94.660 94.922 5.340 5.078 7.56 42.34 224 299 0.875 0.903 bicubic
152 hrnet_w64 regnetx_160 79.488 79.856 20.512 20.144 94.638 94.830 5.362 5.170 128.06 54.28 224 0.875 bilinear bicubic
153 dla102x2 vit_deit_small_patch16_224 79.428 79.856 20.572 20.144 94.628 95.052 5.372 4.948 41.28 22.05 224 0.875 0.900 bilinear bicubic
154 repvgg_b2g4 ecaresnet26t 79.404 79.854 20.596 20.146 94.706 95.084 5.294 4.916 61.76 16.01 224 320 0.875 0.950 bilinear bicubic
155 gluon_resnet101_v1b dpn131 79.360 79.822 20.640 20.178 94.508 94.710 5.492 5.290 44.55 79.25 224 0.875 bicubic
156 nf_regnet_b1 tf_efficientnet_lite3 79.324 79.820 20.676 20.180 94.772 94.914 5.228 5.086 10.22 8.20 288 300 0.900 0.904 bicubic bilinear
157 gluon_resnext50_32x4d resnext50_32x4d 79.320 79.768 20.680 20.232 94.500 94.598 5.500 5.402 25.03 224 0.875 bicubic
158 tf_efficientnet_b1_ap regnety_064 79.290 79.722 20.710 20.278 94.326 94.768 5.674 5.232 7.79 30.58 240 224 0.882 0.875 bicubic
159 tf_efficientnet_cc_b1_8e ecaresnet50d_pruned 79.288 79.716 20.712 20.284 94.358 94.880 5.642 5.120 39.72 19.94 240 224 0.882 0.875 bicubic
160 resnetblur50 gluon_xception65 79.262 79.716 20.738 20.284 94.622 94.860 5.378 5.140 25.56 39.92 224 299 0.875 0.903 bicubic
161 ssl_resnet50 gluon_resnet152_v1b 79.240 79.686 20.760 20.314 94.914 94.736 5.086 5.264 25.56 60.19 224 0.875 bilinear bicubic
162 hrnet_w48 resnext50d_32x4d 79.236 79.676 20.764 20.324 94.522 94.866 5.478 5.134 77.47 25.05 224 0.875 bilinear bicubic
163 efficientnet_em dpn98 79.230 79.642 20.770 20.358 94.792 94.598 5.208 5.402 6.90 61.57 240 224 0.882 0.875 bicubic
164 regnety_040 regnetx_120 79.216 79.596 20.784 20.404 94.662 94.738 5.338 5.262 20.65 46.11 224 0.875 bicubic
165 resnext101_32x8d cspresnet50 79.210 79.574 20.790 20.426 94.556 94.712 5.444 5.288 88.79 21.62 224 256 0.875 0.887 bilinear
166 ese_vovnet39b xception65 79.206 79.552 20.794 20.448 94.728 94.654 5.272 5.346 24.57 39.92 224 299 0.875 0.903 bicubic
167 regnetx_080 gluon_resnet101_v1c 79.174 79.534 20.826 20.466 94.556 94.578 5.444 5.422 39.57 44.57 224 0.875 bicubic
168 dpn68b rexnet_130 79.140 79.500 20.860 20.500 94.424 94.682 5.576 5.318 12.61 7.56 224 0.875 bicubic
169 res2net50_26w_8s hrnet_w64 79.130 79.474 20.870 20.526 94.404 94.652 5.596 5.348 48.40 128.06 224 0.875 bilinear
170 res2net101_26w_4s dla102x2 79.120 79.448 20.880 20.552 94.432 94.640 5.568 5.360 45.21 41.28 224 0.875 bilinear
171 legacy_seresnext50_32x4d repvgg_b2g4 79.108 79.366 20.892 20.634 94.478 94.688 5.522 5.312 27.56 61.76 224 0.875 bilinear
172 regnetx_064 gluon_resnext50_32x4d 79.078 79.354 20.922 20.646 94.460 94.426 5.540 5.574 26.21 25.03 224 0.875 bicubic
173 gluon_resnet50_v1d ese_vovnet39b 79.072 79.320 20.928 20.680 94.478 94.712 5.522 5.288 25.58 24.57 224 0.875 bicubic
174 xception resnext101_32x8d 79.028 79.308 20.972 20.692 94.370 94.518 5.630 5.482 22.86 88.79 299 224 0.897 0.875 bicubic bilinear
175 resnet50 tf_efficientnet_cc_b1_8e 79.004 79.308 20.996 20.692 94.392 94.370 5.608 5.630 25.56 39.72 224 240 0.875 0.882 bicubic
176 mixnet_l gluon_resnet101_v1b 78.932 79.306 21.068 20.694 94.184 94.524 5.816 5.476 7.33 44.55 224 0.875 bicubic
177 wide_resnet101_2 nf_regnet_b1 78.910 79.306 21.090 20.694 94.344 94.748 5.656 5.252 126.89 10.22 224 288 0.875 0.900 bilinear bicubic
178 hrnet_w40 pit_xs_distilled_224 78.906 79.306 21.094 20.694 94.434 94.364 5.566 5.636 57.56 11.00 224 0.875 0.900 bilinear bicubic
179 hrnet_w44 hrnet_w48 78.886 79.300 21.114 20.700 94.410 94.512 5.590 5.488 67.06 77.47 224 0.875 bilinear
180 repvgg_b2 resnetblur50 78.882 79.286 21.118 20.714 94.346 94.638 5.654 5.362 89.02 25.56 224 0.875 bilinear bicubic
181 tf_efficientnet_b1 tf_efficientnet_b1_ap 78.832 79.280 21.168 20.720 94.206 94.306 5.794 5.694 7.79 240 0.882 bicubic
182 gluon_inception_v3 efficientnet_em 78.830 79.252 21.170 20.748 94.398 94.794 5.602 5.206 23.83 6.90 299 240 0.875 0.882 bicubic
183 tf_mixnet_l ssl_resnet50 78.802 79.222 21.198 20.778 94.054 94.832 5.946 5.168 7.33 25.56 224 0.875 bicubic bilinear
184 gluon_resnet50_v1s regnety_040 78.788 79.220 21.212 20.780 94.240 94.656 5.760 5.344 25.68 20.65 224 0.875 bicubic
185 dla169 dpn68b 78.732 79.216 21.268 20.784 94.334 94.414 5.666 5.586 53.39 12.61 224 0.875 bilinear bicubic
186 legacy_seresnet152 res2net50_26w_8s 78.644 79.198 21.356 20.802 94.390 94.368 5.610 5.632 66.82 48.40 224 0.875 bilinear
187 efficientnet_b1 res2net101_26w_4s 78.604 79.198 21.396 20.802 94.094 94.432 5.906 5.568 7.79 45.21 240 224 0.875 bicubic bilinear
188 res2net50_26w_6s regnetx_080 78.604 79.194 21.396 20.806 94.164 94.560 5.836 5.440 37.05 39.57 224 0.875 bilinear bicubic
189 tf_efficientnet_b0_ns legacy_seresnext50_32x4d 78.600 79.078 21.400 20.922 94.388 94.436 5.612 5.564 5.29 27.56 224 0.875 bicubic bilinear
190 dla102x gluon_resnet50_v1d 78.528 79.074 21.472 20.926 94.206 94.470 5.794 5.530 26.31 25.58 224 0.875 bilinear bicubic
191 dla60_res2net regnetx_064 78.522 79.072 21.478 20.928 94.252 94.458 5.748 5.542 20.85 26.21 224 0.875 bilinear bicubic
192 selecsls60b xception 78.496 79.052 21.504 20.948 94.192 94.392 5.808 5.608 32.77 22.86 224 299 0.875 0.897 bicubic
193 xception41 resnet50 78.496 79.038 21.504 20.962 94.256 94.390 5.744 5.610 26.97 25.56 299 224 0.903 0.875 bicubic
194 regnetx_040 mixnet_l 78.494 78.976 21.506 21.024 94.270 94.182 5.730 5.818 22.12 7.33 224 0.875 bicubic
195 repvgg_b1 hrnet_w40 78.442 78.920 21.558 21.080 94.158 94.470 5.842 5.530 57.42 57.56 224 0.875 bilinear
196 resnest26d hrnet_w44 78.440 78.896 21.560 21.104 94.296 94.368 5.704 5.632 17.07 67.06 224 0.875 bilinear
197 hrnet_w32 wide_resnet101_2 78.424 78.856 21.576 21.144 94.202 94.282 5.798 5.718 41.23 126.89 224 0.875 bilinear
198 legacy_seresnet101 tf_efficientnet_b1 78.420 78.826 21.580 21.174 94.174 94.198 5.826 5.802 49.33 7.79 224 240 0.875 0.882 bilinear bicubic
199 dla60_res2next gluon_inception_v3 78.322 78.806 21.678 21.194 94.190 94.370 5.810 5.630 17.03 23.83 224 299 0.875 bilinear bicubic
200 efficientnet_b1_pruned repvgg_b2 78.274 78.792 21.726 21.208 93.808 94.414 6.192 5.586 6.33 89.02 240 224 0.882 0.875 bicubic bilinear
201 tv_resnet152 tf_mixnet_l 78.250 78.774 21.750 21.226 93.982 93.998 6.018 6.002 60.19 7.33 224 0.875 bilinear bicubic
202 dla60x gluon_resnet50_v1s 78.226 78.710 21.774 21.290 93.988 94.238 6.012 5.762 17.35 25.68 224 0.875 bilinear bicubic
203 tf_efficientnet_em efficientnet_b1 78.160 78.698 21.840 21.302 94.046 94.144 5.954 5.856 6.90 7.79 240 0.882 0.875 bicubic
204 regnetx_032 dla169 78.148 78.688 21.852 21.312 94.066 94.336 5.934 5.664 15.30 53.39 224 0.875 bicubic bilinear
205 hrnet_w30 legacy_seresnet152 78.134 78.660 21.866 21.340 94.192 94.370 5.808 5.630 37.71 66.82 224 0.875 bilinear
206 res2net50_14w_8s tf_efficientnet_b0_ns 78.118 78.658 21.882 21.342 93.836 94.376 6.164 5.624 25.06 5.29 224 0.875 bilinear bicubic
207 res2next50 res2net50_26w_6s 78.080 78.570 21.920 21.430 93.952 94.124 6.048 5.876 24.67 37.05 224 0.875 bilinear
208 dla102 xception41 78.054 78.516 21.946 21.484 93.918 94.278 6.082 5.722 33.27 26.97 224 299 0.875 0.903 bilinear bicubic
209 efficientnet_es dla102x 78.032 78.510 21.968 21.490 93.900 94.228 6.100 5.772 5.44 26.31 224 0.875 bicubic bilinear
210 res2net50_26w_4s regnetx_040 77.966 78.482 22.034 21.518 93.830 94.244 6.170 5.756 25.70 22.12 224 0.875 bilinear bicubic
211 gluon_resnet50_v1c resnest26d 77.926 78.478 22.074 21.522 94.006 94.298 5.994 5.702 25.58 17.07 224 0.875 bicubic bilinear
212 tf_efficientnet_cc_b0_8e dla60_res2net 77.926 78.464 22.074 21.536 93.598 94.206 6.402 5.794 24.01 20.85 224 0.875 bicubic bilinear
213 selecsls60 hrnet_w32 77.914 78.450 22.086 21.550 93.822 94.186 6.178 5.814 30.67 41.23 224 0.875 bicubic bilinear
214 rexnet_100 dla60_res2next 77.886 78.440 22.114 21.560 93.858 94.152 6.142 5.848 4.80 17.03 224 0.875 bicubic bilinear
215 vit_small_patch16_224 selecsls60b 77.872 78.412 22.128 21.588 93.392 94.174 6.608 5.826 48.75 32.77 224 0.900 0.875 bicubic
216 seresnext26t_32x4d legacy_seresnet101 77.830 78.382 22.170 21.618 93.728 94.264 6.272 5.736 16.81 49.33 224 0.875 bicubic bilinear
217 tf_inception_v3 repvgg_b1 77.804 78.366 22.196 21.634 93.650 94.098 6.350 5.902 23.83 57.42 299 224 0.875 bicubic bilinear
218 regnety_016 tv_resnet152 77.804 78.312 22.196 21.688 93.724 94.038 6.276 5.962 11.20 60.19 224 0.875 bicubic bilinear
219 gluon_resnet50_v1b dla60x 77.664 78.246 22.336 21.754 93.674 94.018 6.326 5.982 25.56 17.35 224 0.875 bicubic bilinear
220 tv_resnext50_32x4d res2next50 77.628 78.246 22.372 21.754 93.680 93.892 6.320 6.108 25.03 24.67 224 0.875 bilinear
221 legacy_seresnet50 efficientnet_b1_pruned 77.612 78.236 22.388 21.764 93.796 93.834 6.204 6.166 28.09 6.33 224 240 0.875 0.882 bilinear bicubic
222 efficientnet_b0 hrnet_w30 77.610 78.206 22.390 21.794 93.564 94.222 6.436 5.778 5.29 37.71 224 0.875 bicubic bilinear
223 adv_inception_v3 pit_xs_224 77.562 78.182 22.438 21.818 93.686 94.168 6.314 5.832 23.83 10.62 299 224 0.875 0.900 bicubic
224 repvgg_b1g4 regnetx_032 77.540 78.172 22.460 21.828 93.794 94.088 6.206 5.912 39.97 15.30 224 0.875 bilinear bicubic
225 res2net50_48w_2s res2net50_14w_8s 77.518 78.150 22.482 21.850 93.582 93.848 6.418 6.152 25.29 25.06 224 0.875 bilinear
226 seresnext26d_32x4d tf_efficientnet_em 77.518 78.130 22.482 21.870 93.606 94.044 6.394 5.956 16.81 6.90 224 240 0.875 0.882 bicubic
227 tf_efficientnet_lite2 hardcorenas_f 77.440 78.104 22.560 21.896 93.762 93.802 6.238 6.198 6.09 8.20 260 224 0.890 0.875 bicubic bilinear
228 inception_v3 efficientnet_es 77.410 78.066 22.590 21.934 93.474 93.926 6.526 6.074 23.83 5.44 299 224 0.875 bicubic
229 densenet161 dla102 77.338 78.032 22.662 21.968 93.688 93.946 6.312 6.054 28.68 33.27 224 0.875 bicubic bilinear
230 mobilenetv2_120d gluon_resnet50_v1c 77.328 78.012 22.672 21.988 93.478 93.988 6.522 6.012 5.83 25.58 224 0.875 bicubic
231 densenet201 seresnext26t_32x4d 77.320 77.986 22.680 22.014 93.482 93.746 6.518 6.254 20.01 16.81 224 0.875 bicubic
232 tv_resnet101 selecsls60 77.314 77.982 22.686 22.018 93.556 93.828 6.444 6.172 44.55 30.67 224 0.875 bilinear bicubic
233 tf_efficientnet_cc_b0_4e res2net50_26w_4s 77.296 77.964 22.704 22.036 93.360 93.854 6.640 6.146 13.31 25.70 224 0.875 bicubic bilinear
234 mixnet_m tf_efficientnet_cc_b0_8e 77.176 77.908 22.824 22.092 93.426 93.654 6.574 6.346 5.01 24.01 224 0.875 bicubic
235 legacy_seresnext26_32x4d regnety_016 77.116 77.862 22.884 22.138 93.358 93.720 6.642 6.280 16.79 11.20 224 0.875 bicubic
236 selecsls42b vit_small_patch16_224 77.096 77.858 22.904 22.142 93.424 93.416 6.576 6.584 32.46 48.75 224 0.875 0.900 bicubic
237 resnet34d rexnet_100 77.096 77.858 22.904 22.142 93.392 93.870 6.608 6.130 21.82 4.80 224 0.875 bicubic
238 tf_efficientnet_b0_ap tf_inception_v3 77.072 77.858 22.928 22.142 93.262 93.638 6.738 6.362 5.29 23.83 224 299 0.875 bicubic
239 tf_mixnet_m hardcorenas_e 76.964 77.794 23.036 22.206 93.212 93.694 6.788 6.306 5.01 8.07 224 0.875 bicubic bilinear
240 dla60 efficientnet_b0 76.924 77.698 23.076 22.302 93.290 93.532 6.710 6.468 22.04 5.29 224 0.875 bilinear bicubic
241 regnetx_016 legacy_seresnet50 76.914 77.630 23.086 22.370 93.372 93.748 6.628 6.252 9.19 28.09 224 0.875 bicubic bilinear
242 skresnet34 tv_resnext50_32x4d 76.910 77.620 23.090 22.380 93.272 93.696 6.728 6.304 22.28 25.03 224 0.875 bicubic bilinear
243 gernet_s seresnext26d_32x4d 76.874 77.602 23.126 22.398 93.128 93.608 6.872 6.392 8.17 16.81 224 0.875 bilinear bicubic
244 hrnet_w18 repvgg_b1g4 76.832 77.594 23.168 22.406 93.404 93.826 6.596 6.174 21.30 39.97 224 0.875 bilinear
245 tf_efficientnet_b0 adv_inception_v3 76.830 77.582 23.170 22.418 93.272 93.736 6.728 6.264 5.29 23.83 224 299 0.875 bicubic
246 ese_vovnet19b_dw gluon_resnet50_v1b 76.772 77.580 23.228 22.420 93.276 93.716 6.724 6.284 6.54 25.56 224 0.875 bicubic
247 tf_efficientnet_lite1 res2net50_48w_2s 76.628 77.522 23.372 22.478 93.248 93.554 6.752 6.446 5.42 25.29 240 224 0.882 0.875 bicubic bilinear
248 resnet26d tf_efficientnet_lite2 76.600 77.468 23.400 22.532 93.188 93.754 6.812 6.246 16.01 6.09 224 260 0.875 0.890 bicubic
249 tf_efficientnet_es inception_v3 76.562 77.438 23.438 22.562 93.184 93.476 6.816 6.524 5.44 23.83 224 299 0.875 bicubic
250 mobilenetv2_140 hardcorenas_d 76.538 77.432 23.462 22.568 92.944 93.484 7.056 6.516 6.11 7.50 224 0.875 bicubic bilinear
251 repvgg_a2 tv_resnet101 76.488 77.374 23.512 22.626 93.022 93.540 6.978 6.460 28.21 44.55 224 0.875 bilinear
252 densenetblur121d densenet161 76.474 77.358 23.526 22.642 93.096 93.638 6.904 6.362 8.00 28.68 224 0.875 bicubic
253 dpn68 tf_efficientnet_cc_b0_4e 76.378 77.306 23.622 22.694 92.978 93.334 7.022 6.666 12.61 13.31 224 0.875 bicubic
254 regnety_008 densenet201 76.324 77.286 23.676 22.714 93.100 93.478 6.900 6.522 6.26 20.01 224 0.875 bicubic
255 mixnet_s mobilenetv2_120d 76.062 77.284 23.938 22.716 92.826 93.492 7.174 6.508 4.13 5.83 224 0.875 bicubic
256 tv_resnet50 mixnet_m 76.012 77.260 23.988 22.740 92.934 93.424 7.066 6.576 25.56 5.01 224 0.875 bilinear bicubic
257 densenet169 selecsls42b 75.950 77.174 24.050 22.826 92.994 93.390 7.006 6.610 14.15 32.46 224 0.875 bicubic
258 mobilenetv3_large_100 resnet34d 75.710 77.116 24.290 22.884 92.496 93.382 7.504 6.618 5.48 21.82 224 0.875 bicubic
259 tf_mixnet_s legacy_seresnext26_32x4d 75.658 77.104 24.342 22.896 92.618 93.316 7.382 6.684 4.13 16.79 224 0.875 bicubic
260 resnest14d tf_efficientnet_b0_ap 75.588 77.086 24.412 22.914 92.488 93.256 7.512 6.744 10.61 5.29 224 0.875 bilinear bicubic
261 mobilenetv3_rw hardcorenas_c 75.542 77.054 24.458 22.946 92.676 93.158 7.324 6.842 5.48 5.52 224 0.875 bicubic bilinear
262 densenet121 dla60 75.530 77.032 24.470 22.968 92.616 93.318 7.384 6.682 7.98 22.04 224 0.875 bicubic bilinear
263 tf_mobilenetv3_large_100 regnetx_016 75.520 76.950 24.480 23.050 92.550 93.420 7.450 6.580 5.48 9.19 224 0.875 bilinear bicubic
264 efficientnet_lite0 tf_mixnet_m 75.444 76.942 24.556 23.058 92.544 93.152 7.456 6.848 4.65 5.01 224 0.875 bicubic
265 semnasnet_100 gernet_s 75.426 76.916 24.574 23.084 92.548 93.132 7.452 6.868 3.89 8.17 224 0.875 bicubic bilinear
266 resnet26 skresnet34 75.394 76.912 24.606 23.088 92.584 93.322 7.416 6.678 16.00 22.28 224 0.875 bicubic
267 repvgg_b0 tf_efficientnet_b0 75.214 76.848 24.786 23.152 92.454 93.228 7.546 6.772 15.82 5.29 224 0.875 bilinear bicubic
268 regnety_006 ese_vovnet19b_dw 75.206 76.798 24.794 23.202 92.560 93.268 7.440 6.732 6.06 6.54 224 0.875 bicubic
269 hrnet_w18_small_v2 hrnet_w18 75.164 76.758 24.836 23.242 92.430 93.444 7.570 6.556 15.60 21.30 224 0.875 bilinear
270 resnet34 resnet26d 75.096 76.696 24.904 23.304 92.246 93.150 7.754 6.850 21.80 16.01 224 0.875 bilinear bicubic
271 fbnetc_100 tf_efficientnet_lite1 75.082 76.642 24.918 23.358 92.354 93.226 7.646 6.774 5.57 5.42 224 240 0.875 0.882 bilinear bicubic
272 mobilenetv2_110d tf_efficientnet_es 75.048 76.594 24.952 23.406 92.132 93.202 7.868 6.798 4.52 5.44 224 0.875 bicubic
273 regnetx_008 densenetblur121d 75.026 76.588 24.974 23.412 92.332 93.192 7.668 6.808 7.26 8.00 224 0.875 bicubic
274 legacy_seresnet34 hardcorenas_b 74.912 76.538 25.088 23.462 92.164 92.754 7.836 7.246 21.96 5.18 224 0.875 bilinear
275 tf_efficientnet_lite0 mobilenetv2_140 74.868 76.516 25.132 23.484 92.130 92.996 7.870 7.004 4.65 6.11 224 0.875 bicubic
276 tv_densenet121 repvgg_a2 74.746 76.460 25.254 23.540 92.130 93.004 7.870 6.996 7.98 28.21 224 0.875 bicubic bilinear
277 mnasnet_100 dpn68 74.692 76.318 25.308 23.682 92.140 92.978 7.860 7.022 4.38 12.61 224 0.875 bicubic
278 dla34 regnety_008 74.636 76.316 25.364 23.684 92.122 93.066 7.878 6.934 15.74 6.26 224 0.875 bilinear bicubic
279 gluon_resnet34_v1b tv_resnet50 74.496 76.138 25.504 23.862 92.008 92.864 7.992 7.136 21.80 25.56 224 0.875 bicubic bilinear
280 vit_deit_tiny_distilled_patch16_224 mixnet_s 74.494 75.992 25.506 24.008 91.884 92.796 8.116 7.204 5.91 4.13 224 0.900 0.875 bicubic
281 vgg19_bn hardcorenas_a 74.216 75.916 25.784 24.084 91.848 92.514 8.152 7.486 143.68 5.26 224 0.875 bilinear
282 spnasnet_100 densenet169 74.120 75.906 25.880 24.094 91.882 93.026 8.118 6.974 4.42 14.15 224 0.875 bilinear bicubic
283 regnetx_006 mobilenetv3_large_100 73.962 75.766 26.038 24.234 91.684 92.542 8.316 7.458 6.20 5.48 224 0.875 bicubic
284 regnety_004 tf_mixnet_s 73.942 75.650 26.058 24.350 91.754 92.628 8.246 7.372 4.34 4.13 224 0.875 bicubic
285 vgg16_bn mobilenetv3_rw 73.476 75.634 26.524 24.366 91.536 92.708 8.464 7.292 138.37 5.48 224 0.875 bilinear bicubic
286 tf_mobilenetv3_large_075 densenet121 73.372 75.578 26.628 24.422 91.404 92.652 8.596 7.348 3.99 7.98 224 0.875 bilinear bicubic
287 swsl_resnet18 tf_mobilenetv3_large_100 73.318 75.518 26.682 24.482 91.752 92.606 8.248 7.394 11.69 5.48 224 0.875 bilinear
288 tv_resnet34 resnest14d 73.266 75.504 26.734 24.496 91.430 92.518 8.570 7.482 21.80 10.61 224 0.875 bilinear
289 skresnet18 efficientnet_lite0 73.000 75.484 27.000 24.516 91.156 92.510 8.844 7.490 11.96 4.65 224 0.875 bicubic
290 mobilenetv2_100 semnasnet_100 72.956 75.448 27.044 24.552 91.042 92.604 8.958 7.396 3.50 3.89 224 0.875 bicubic
291 regnetx_004 resnet26 72.536 75.292 27.464 24.708 90.842 92.570 9.158 7.430 5.16 16.00 224 0.875 bicubic
292 ssl_resnet18 regnety_006 72.492 75.246 27.508 24.754 91.442 92.532 8.558 7.468 11.69 6.06 224 0.875 bilinear bicubic
293 resnet18d repvgg_b0 72.380 75.152 27.620 24.848 90.710 92.418 9.290 7.582 11.71 15.82 224 0.875 bicubic bilinear
294 vgg19 fbnetc_100 72.360 75.124 27.640 24.876 90.850 92.386 9.150 7.614 143.67 5.57 224 0.875 bilinear
295 hrnet_w18_small hrnet_w18_small_v2 72.276 75.114 27.724 24.886 90.586 92.416 9.414 7.584 13.19 15.60 224 0.875 bilinear
296 tf_mobilenetv3_large_minimal_100 resnet34 72.228 75.110 27.772 24.890 90.682 92.284 9.318 7.716 3.92 21.80 224 0.875 bilinear
297 vit_deit_tiny_patch16_224 regnetx_008 72.196 75.038 27.804 24.962 91.092 92.336 8.908 7.664 5.72 7.26 224 0.900 0.875 bicubic
298 legacy_seresnet18 mobilenetv2_110d 71.752 75.036 28.248 24.964 90.308 92.186 9.692 7.814 11.78 4.52 224 0.875 bicubic
299 vgg16 efficientnet_es_pruned 71.628 75.000 28.372 25.000 90.368 92.448 9.632 7.552 138.36 5.44 224 0.875 bilinear bicubic
300 vgg13_bn tf_efficientnet_lite0 71.618 74.830 28.382 25.170 90.360 92.176 9.640 7.824 133.05 4.65 224 0.875 bilinear bicubic
301 gluon_resnet18_v1b legacy_seresnet34 70.922 74.808 29.078 25.192 89.770 92.124 10.230 7.876 11.69 21.96 224 0.875 bicubic bilinear
302 vgg11_bn tv_densenet121 70.408 74.738 29.592 25.262 89.724 92.150 10.276 7.850 132.87 7.98 224 0.875 bilinear bicubic
303 regnety_002 mnasnet_100 70.326 74.658 29.674 25.342 89.556 92.114 10.444 7.886 3.16 4.38 224 0.875 bicubic
304 vgg13 dla34 69.984 74.630 30.016 25.370 89.306 92.078 10.694 7.922 133.05 15.74 224 0.875 bilinear
305 resnet18 gluon_resnet34_v1b 69.644 74.588 30.356 25.412 88.982 91.990 11.018 8.010 11.69 21.80 224 0.875 bilinear bicubic
306 vgg11 pit_ti_distilled_224 68.872 74.530 31.128 25.470 88.658 92.096 11.342 7.904 132.86 5.10 224 0.875 0.900 bilinear bicubic
307 regnetx_002 vit_deit_tiny_distilled_patch16_224 68.830 74.510 31.170 25.490 88.510 91.890 11.490 8.110 2.68 5.91 224 0.875 0.900 bicubic
308 dla60x_c vgg19_bn 67.952 74.214 32.048 25.786 88.438 91.842 11.562 8.158 1.32 143.68 224 0.875 bilinear
309 tf_mobilenetv3_small_100 spnasnet_100 67.876 74.084 32.124 25.916 87.682 91.818 12.318 8.182 2.54 4.42 224 0.875 bilinear
310 dla46x_c regnety_004 65.930 74.034 34.070 25.966 87.004 91.752 12.996 8.248 1.07 4.34 224 0.875 bilinear bicubic
311 tf_mobilenetv3_small_075 regnetx_006 65.732 73.852 34.268 26.148 86.168 91.672 13.832 8.328 2.04 6.20 224 0.875 bilinear bicubic
312 dla46_c tf_mobilenetv3_large_075 64.930 73.438 35.070 26.562 86.308 91.350 13.692 8.650 1.30 3.99 224 0.875 bilinear
313 tf_mobilenetv3_small_minimal_100 vgg16_bn 62.744 73.350 37.256 26.650 84.380 91.506 15.620 8.494 2.04 138.37 224 0.875 bilinear
314 tv_resnet34 73.312 26.688 91.426 8.574 21.80 224 0.875 bilinear
315 swsl_resnet18 73.276 26.724 91.734 8.266 11.69 224 0.875 bilinear
316 skresnet18 73.038 26.962 91.168 8.832 11.96 224 0.875 bicubic
317 mobilenetv2_100 72.970 27.030 91.016 8.984 3.50 224 0.875 bicubic
318 pit_ti_224 72.912 27.088 91.402 8.598 4.85 224 0.900 bicubic
319 ssl_resnet18 72.610 27.390 91.416 8.584 11.69 224 0.875 bilinear
320 regnetx_004 72.396 27.604 90.830 9.170 5.16 224 0.875 bicubic
321 vgg19 72.368 27.632 90.872 9.128 143.67 224 0.875 bilinear
322 hrnet_w18_small 72.344 27.656 90.678 9.322 13.19 224 0.875 bilinear
323 resnet18d 72.260 27.740 90.696 9.304 11.71 224 0.875 bicubic
324 tf_mobilenetv3_large_minimal_100 72.248 27.752 90.630 9.370 3.92 224 0.875 bilinear
325 vit_deit_tiny_patch16_224 72.168 27.832 91.118 8.882 5.72 224 0.900 bicubic
326 legacy_seresnet18 71.742 28.258 90.334 9.666 11.78 224 0.875 bicubic
327 vgg13_bn 71.594 28.406 90.376 9.624 133.05 224 0.875 bilinear
328 vgg16 71.594 28.406 90.382 9.618 138.36 224 0.875 bilinear
329 gluon_resnet18_v1b 70.836 29.164 89.762 10.238 11.69 224 0.875 bicubic
330 vgg11_bn 70.360 29.640 89.802 10.198 132.87 224 0.875 bilinear
331 regnety_002 70.252 29.748 89.540 10.460 3.16 224 0.875 bicubic
332 vgg13 69.926 30.074 89.246 10.754 133.05 224 0.875 bilinear
333 resnet18 69.748 30.252 89.078 10.922 11.69 224 0.875 bilinear
334 vgg11 69.024 30.976 88.628 11.372 132.86 224 0.875 bilinear
335 regnetx_002 68.762 31.238 88.556 11.444 2.68 224 0.875 bicubic
336 tf_mobilenetv3_small_100 67.922 32.078 87.664 12.336 2.54 224 0.875 bilinear
337 dla60x_c 67.892 32.108 88.426 11.574 1.32 224 0.875 bilinear
338 dla46x_c 65.970 34.030 86.980 13.020 1.07 224 0.875 bilinear
339 tf_mobilenetv3_small_075 65.716 34.284 86.130 13.870 2.04 224 0.875 bilinear
340 dla46_c 64.866 35.134 86.292 13.708 1.30 224 0.875 bilinear
341 tf_mobilenetv3_small_minimal_100 62.906 37.094 84.230 15.770 2.04 224 0.875 bilinear

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results/results-imagenetv2-matched-frequency.csv
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model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation,top1_diff,top5_diff,rank_diff model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation,top1_diff,top5_diff,rank_diff
tf_efficientnet_l2_ns_475,80.540,19.460,95.620,4.380,480.31,475,0.936,bicubic,-7.690,-2.926,+1 tf_efficientnet_l2_ns_475,80.460,19.540,95.730,4.270,480.31,475,0.936,bicubic,-7.774,-2.816,+1
tf_efficientnet_l2_ns,80.110,19.890,95.840,4.160,480.31,800,0.960,bicubic,-8.226,-2.824,-1 tf_efficientnet_l2_ns,80.250,19.750,95.840,4.160,480.31,800,0.960,bicubic,-8.102,-2.810,-1
tf_efficientnet_b7_ns,77.830,22.170,94.320,5.680,66.35,600,0.949,bicubic,-9.000,-3.772,0 tf_efficientnet_b7_ns,78.510,21.490,94.380,5.620,66.35,600,0.949,bicubic,-8.330,-3.714,+1
tf_efficientnet_b6_ns,77.030,22.970,93.790,6.210,43.04,528,0.942,bicubic,-9.432,-4.088,0 tf_efficientnet_b6_ns,77.280,22.720,93.890,6.110,43.04,528,0.942,bicubic,-9.172,-3.992,+1
ig_resnext101_32x32d,76.800,23.200,93.230,6.770,468.53,224,0.875,bilinear,-8.346,-4.226,+11 swin_large_patch4_window12_384,77.040,22.960,93.750,6.250,196.74,384,1.000,bicubic,-10.108,-4.484,-2
tf_efficientnet_b5_ns,76.730,23.270,93.480,6.520,30.39,456,0.934,bicubic,-9.342,-4.268,0 ig_resnext101_32x48d,76.870,23.130,93.310,6.690,828.41,224,0.875,bilinear,-8.558,-4.262,+7
ig_resnext101_32x48d,76.650,23.350,93.420,6.580,828.41,224,0.875,bilinear,-8.852,-4.128,+3 ig_resnext101_32x32d,76.840,23.160,93.200,6.800,468.53,224,0.875,bilinear,-8.254,-4.238,+14
tf_efficientnet_b7_ap,75.970,24.030,92.900,7.100,66.35,600,0.949,bicubic,-9.154,-4.356,+9 tf_efficientnet_b5_ns,76.810,23.190,93.580,6.420,30.39,456,0.934,bicubic,-9.278,-4.172,+1
tf_efficientnet_b8_ap,75.950,24.050,92.670,7.330,87.41,672,0.954,bicubic,-9.434,-4.628,+4 swin_base_patch4_window12_384,76.280,23.720,93.320,6.680,87.90,384,1.000,bicubic,-10.152,-4.738,-3
dm_nfnet_f6,75.770,24.230,92.970,7.030,438.36,576,0.956,bicubic,-10.536,-4.772,-5 swin_large_patch4_window7_224,76.270,23.730,93.420,6.580,196.53,224,0.900,bicubic,-10.050,-4.476,-3
ig_resnext101_32x16d,75.690,24.310,92.910,7.090,194.03,224,0.875,bilinear,-8.478,-4.286,+21 dm_nfnet_f6,76.180,23.820,93.220,6.780,438.36,576,0.956,bicubic,-10.116,-4.524,-3
tf_efficientnet_b4_ns,75.490,24.510,92.940,7.060,19.34,380,0.922,bicubic,-9.704,-4.560,+2 tf_efficientnet_b7_ap,76.090,23.910,92.970,7.030,66.35,600,0.949,bicubic,-9.030,-4.282,+8
swsl_resnext101_32x8d,75.460,24.540,92.720,7.280,88.79,224,0.875,bilinear,-8.872,-4.434,+16 tf_efficientnet_b8_ap,76.090,23.910,92.730,7.270,87.41,672,0.954,bicubic,-9.280,-4.564,+3
vit_base_resnet50_384,75.430,24.570,92.700,7.300,98.95,384,1.000,bicubic,-9.564,-4.594,+4 dm_nfnet_f4,75.750,24.250,92.790,7.210,316.07,512,0.951,bicubic,-9.908,-4.720,-3
vit_deit_base_distilled_patch16_384,75.410,24.590,92.530,7.470,87.63,384,1.000,bicubic,-10.012,-4.804,-4 ig_resnext101_32x16d,75.720,24.280,92.910,7.090,194.03,224,0.875,bilinear,-8.450,-4.286,+21
tf_efficientnet_b6_ap,75.370,24.630,92.290,7.710,43.04,528,0.942,bicubic,-9.420,-4.846,+7 tf_efficientnet_b4_ns,75.670,24.330,93.050,6.950,19.34,380,0.922,bicubic,-9.492,-4.420,+2
dm_nfnet_f4,75.230,24.770,92.640,7.360,316.07,512,0.951,bicubic,-10.496,-4.878,-10 vit_base_r50_s16_384,75.590,24.410,92.790,7.210,98.95,384,1.000,bicubic,-9.382,-4.498,+7
dm_nfnet_f3,75.160,24.840,92.710,7.290,254.92,416,0.940,bicubic,-10.422,-4.680,-9 vit_deit_base_distilled_patch16_384,75.550,24.450,92.500,7.500,87.63,384,1.000,bicubic,-9.872,-4.832,-4
ecaresnet269d,74.850,25.150,92.760,7.240,102.09,352,1.000,bicubic,-10.076,-4.476,+2 swsl_resnext101_32x8d,75.430,24.570,92.760,7.240,88.79,224,0.875,bilinear,-8.854,-4.416,+14
vit_large_patch16_384,74.800,25.200,92.610,7.390,304.72,384,1.000,bicubic,-10.370,-4.734,-5 dm_nfnet_f3,75.410,24.590,92.830,7.170,254.92,416,0.940,bicubic,-10.150,-4.576,-8
dm_nfnet_f5,74.630,25.370,92.370,7.630,377.21,544,0.954,bicubic,-11.090,-5.066,-13 tf_efficientnet_b6_ap,75.380,24.620,92.440,7.560,43.04,528,0.942,bicubic,-9.408,-4.698,+6
tf_efficientnet_b8,74.530,25.470,92.200,7.800,87.41,672,0.954,bicubic,-10.854,-5.200,-10 vit_large_patch16_384,75.150,24.850,92.660,7.340,304.72,384,1.000,bicubic,-10.008,-4.696,-3
tf_efficientnet_b7,74.430,25.570,92.130,7.870,66.35,600,0.949,bicubic,-10.506,-5.078,-3 ecaresnet269d,75.120,24.880,92.840,7.160,102.09,352,1.000,bicubic,-9.856,-4.386,0
dm_nfnet_f1,74.380,25.620,92.320,7.680,132.63,320,0.910,bicubic,-10.214,-4.760,0 tf_efficientnet_b8,74.940,25.060,92.310,7.690,87.41,672,0.954,bicubic,-10.430,-5.080,-9
tf_efficientnet_b5_ap,74.380,25.620,91.940,8.060,30.39,456,0.934,bicubic,-9.880,-5.034,+5 dm_nfnet_f5,74.790,25.210,92.460,7.540,377.21,544,0.954,bicubic,-10.924,-4.982,-15
dm_nfnet_f2,74.340,25.660,92.060,7.940,193.78,352,0.920,bicubic,-10.628,-5.064,-7 tf_efficientnet_b7,74.720,25.280,92.220,7.780,66.35,600,0.949,bicubic,-10.216,-4.984,-1
resnest200e,74.260,25.740,91.860,8.140,70.20,320,0.909,bicubic,-9.580,-4.998,+9 tf_efficientnet_b5_ap,74.600,25.400,91.990,8.010,30.39,456,0.934,bicubic,-9.652,-4.984,+7
seresnet152d,74.190,25.810,91.960,8.040,66.84,320,1.000,bicubic,-10.160,-5.082,0 swin_base_patch4_window7_224,74.570,25.430,92.560,7.440,87.77,224,0.900,bicubic,-10.682,-5.002,-11
swsl_resnext101_32x4d,74.060,25.940,92.010,7.990,44.18,224,0.875,bilinear,-9.192,-4.758,+14 seresnet152d,74.510,25.490,92.080,7.920,66.84,320,1.000,bicubic,-9.852,-4.960,+3
resnest269e,73.990,26.010,91.980,8.020,110.93,416,0.928,bicubic,-10.528,-5.022,-5 resnest200e,74.480,25.520,91.860,8.140,70.20,320,0.909,bicubic,-9.352,-5.034,+12
tf_efficientnet_b6,73.950,26.050,91.730,8.270,43.04,528,0.942,bicubic,-10.172,-5.160,+2 dm_nfnet_f2,74.450,25.550,92.230,7.770,193.78,352,0.920,bicubic,-10.540,-4.914,-9
tf_efficientnet_b3_ns,73.760,26.240,91.810,8.190,12.23,300,0.904,bicubic,-10.252,-5.100,+2 dm_nfnet_f1,74.400,25.600,92.350,7.650,132.63,320,0.910,bicubic,-10.204,-4.718,-4
ig_resnext101_32x8d,73.720,26.280,92.100,7.900,88.79,224,0.875,bilinear,-8.940,-4.584,+19 resnest269e,74.170,25.830,91.950,8.050,110.93,416,0.928,bicubic,-10.348,-5.036,-4
swsl_resnext101_32x16d,73.700,26.300,92.120,7.880,194.03,224,0.875,bilinear,-9.764,-4.746,+6 pit_b_distilled_224,74.160,25.840,91.680,8.320,74.79,224,0.900,bicubic,-9.984,-5.176,+3
vit_base_patch16_384,73.620,26.380,92.100,7.900,86.86,384,1.000,bicubic,-10.592,-5.116,-4 swsl_resnext101_32x4d,74.140,25.860,91.990,8.010,44.18,224,0.875,bilinear,-9.090,-4.770,+16
resnet200d,73.450,26.550,91.490,8.510,64.69,320,1.000,bicubic,-10.550,-5.334,-1 vit_base_patch16_384,74.130,25.870,92.360,7.640,86.86,384,1.000,bicubic,-10.080,-4.858,-1
tf_efficientnet_b5,73.250,26.750,91.350,8.650,30.39,456,0.934,bicubic,-10.570,-5.410,0 eca_nfnet_l1,74.060,25.940,92.120,7.880,41.41,320,1.000,bicubic,-9.948,-4.908,+3
resnet152d,73.240,26.760,91.190,8.810,60.21,320,1.000,bicubic,-10.424,-5.536,+1 swsl_resnext101_32x16d,74.020,25.980,92.160,7.840,194.03,224,0.875,bilinear,-9.326,-4.686,+10
resnetv2_152x4_bitm,73.160,26.840,91.810,8.190,936.53,480,1.000,bilinear,-11.756,-5.634,-17 resnetv2_152x4_bitm,74.000,26.000,92.340,7.660,936.53,480,1.000,bilinear,-10.932,-5.096,-13
vit_deit_base_distilled_patch16_224,73.020,26.980,90.930,9.070,87.34,224,0.900,bicubic,-10.352,-5.574,+1 tf_efficientnet_b6,73.900,26.100,91.750,8.250,43.04,528,0.942,bicubic,-10.210,-5.136,-2
resnetv2_152x2_bitm,72.840,27.160,92.040,7.960,236.34,480,1.000,bilinear,-11.588,-5.412,-15 tf_efficientnet_b3_ns,73.890,26.110,91.870,8.130,12.23,300,0.904,bicubic,-10.158,-5.040,-2
tf_efficientnet_b4_ap,72.770,27.230,91.000,9.000,19.34,380,0.922,bicubic,-10.454,-5.366,+2 resnet200d,73.680,26.320,91.570,8.430,64.69,320,1.000,bicubic,-10.282,-5.254,-1
dm_nfnet_f0,72.590,27.410,91.010,8.990,71.49,256,0.900,bicubic,-10.780,-5.548,-1 ig_resnext101_32x8d,73.650,26.350,92.190,7.810,88.79,224,0.875,bilinear,-9.038,-4.446,+19
pnasnet5large,72.550,27.450,90.510,9.490,86.06,331,0.911,bicubic,-10.236,-5.566,+7 resnetv2_152x2_bitm,73.630,26.370,92.590,7.410,236.34,480,1.000,bilinear,-10.810,-4.856,-14
nasnetalarge,72.470,27.530,90.500,9.500,88.75,331,0.911,bicubic,-10.170,-5.552,+8 tf_efficientnet_b5,73.550,26.450,91.460,8.540,30.39,456,0.934,bicubic,-10.262,-5.288,-2
resnetv2_101x3_bitm,72.460,27.540,91.820,8.180,387.93,480,1.000,bilinear,-11.932,-5.538,-19 resnetv2_101x3_bitm,73.530,26.470,92.570,7.430,387.93,480,1.000,bilinear,-10.864,-4.792,-15
vit_deit_base_patch16_384,72.430,27.570,90.200,9.800,86.86,384,1.000,bicubic,-10.662,-6.152,-2 resnet152d,73.520,26.480,91.230,8.770,60.21,320,1.000,bicubic,-10.160,-5.508,-1
swsl_resnext50_32x4d,72.370,27.630,90.980,9.020,25.03,224,0.875,bilinear,-9.816,-5.284,+11 regnety_160,73.360,26.640,91.690,8.310,83.59,288,1.000,bicubic,-10.326,-5.086,-3
tf_efficientnet_b2_ns,72.370,27.630,90.970,9.030,9.11,260,0.890,bicubic,-9.996,-5.290,+5 vit_deit_base_distilled_patch16_224,73.240,26.760,91.000,9.000,87.34,224,0.900,bicubic,-10.148,-5.488,-2
resnet101d,72.360,27.640,90.560,9.440,44.57,320,1.000,bicubic,-10.640,-5.900,-2 tf_efficientnet_b4_ap,72.890,27.110,90.980,9.020,19.34,380,0.922,bicubic,-10.358,-5.412,0
resnest101e,72.350,27.650,90.690,9.310,48.28,256,0.875,bilinear,-10.474,-5.620,-1 dm_nfnet_f0,72.790,27.210,91.040,8.960,71.49,256,0.900,bicubic,-10.552,-5.520,-2
tresnet_xl_448,72.160,27.840,90.110,9.890,78.44,448,0.875,bilinear,-10.882,-6.072,-5 regnety_032,72.770,27.230,90.950,9.050,19.44,288,1.000,bicubic,-9.954,-5.474,+9
tf_efficientnet_b4,72.150,27.850,90.510,9.490,19.34,380,0.922,bicubic,-10.824,-5.782,-4 pnasnet5large,72.610,27.390,90.510,9.490,86.06,331,0.911,bicubic,-10.172,-5.530,+5
vit_large_patch16_224,71.780,28.220,90.840,9.160,304.33,224,0.900,bicubic,-11.280,-5.584,-8 nfnet_l0,72.610,27.390,91.010,8.990,35.07,288,1.000,bicubic,-10.150,-5.488,+7
swsl_resnet50,71.610,28.390,90.590,9.410,25.56,224,0.875,bilinear,-9.514,-5.398,+29 resnest101e,72.570,27.430,90.820,9.180,48.28,256,0.875,bilinear,-10.320,-5.500,+3
efficientnet_b3,71.540,28.460,90.110,9.890,12.23,300,0.904,bicubic,-10.492,-5.926,+6 swsl_resnext50_32x4d,72.560,27.440,90.870,9.130,25.03,224,0.875,bilinear,-9.622,-5.360,+15
efficientnet_b3a,71.520,28.480,89.990,10.010,12.23,320,1.000,bicubic,-10.712,-6.136,0 tresnet_xl_448,72.550,27.450,90.310,9.690,78.44,448,0.875,bilinear,-10.500,-5.864,-2
tresnet_l_448,71.470,28.530,89.940,10.060,55.99,448,0.875,bilinear,-10.820,-6.038,-2 vit_deit_base_patch16_384,72.530,27.470,90.250,9.750,86.86,384,1.000,bicubic,-10.576,-6.122,-5
resnetv2_50x3_bitm,71.460,28.540,91.380,8.620,217.32,480,1.000,bilinear,-12.340,-5.730,-21 resnet101d,72.410,27.590,90.650,9.350,44.57,320,1.000,bicubic,-10.612,-5.796,-3
ssl_resnext101_32x8d,71.410,28.590,90.400,9.600,88.79,224,0.875,bilinear,-10.190,-5.622,+12 tf_efficientnet_b4,72.290,27.710,90.590,9.410,19.34,380,0.922,bicubic,-10.732,-5.710,-3
tresnet_xl,71.370,28.630,89.490,10.510,78.44,224,0.875,bilinear,-10.796,-6.444,-1 tf_efficientnet_b2_ns,72.280,27.720,91.090,8.910,9.11,260,0.890,bicubic,-10.100,-5.158,+5
ecaresnet50t,71.200,28.800,90.390,9.610,25.57,320,0.950,bicubic,-11.148,-5.754,-7 vit_large_patch16_224,72.250,27.750,90.990,9.010,304.33,224,0.900,bicubic,-10.812,-5.448,-8
ecaresnet101d,71.160,28.840,90.230,9.770,44.57,224,0.875,bicubic,-10.958,-5.810,-2 nasnetalarge,72.230,27.770,90.470,9.530,88.75,331,0.911,bicubic,-10.390,-5.576,0
regnety_032,71.110,28.890,90.310,9.690,19.44,224,0.875,bicubic,-10.906,-5.622,-1 resnetv2_50x3_bitm,72.180,27.820,91.790,8.210,217.32,480,1.000,bilinear,-11.604,-5.316,-20
ssl_resnext101_32x16d,71.110,28.890,90.420,9.580,194.03,224,0.875,bilinear,-10.736,-5.712,0 eca_nfnet_l0,71.850,28.150,91.130,8.870,24.14,288,1.000,bicubic,-10.738,-5.344,-1
vit_base_patch32_384,71.090,28.910,90.460,9.540,88.30,384,1.000,bicubic,-10.574,-5.668,+4 swin_small_patch4_window7_224,71.740,28.260,90.240,9.760,49.61,224,0.900,bicubic,-11.472,-6.082,-14
vit_deit_base_patch16_224,71.030,28.970,89.180,10.820,86.57,224,0.900,bicubic,-10.964,-6.558,-3 pit_b_224,71.700,28.300,89.250,10.750,73.76,224,0.900,bicubic,-10.746,-6.460,-2
vit_base_patch16_224,70.990,29.010,90.410,9.590,86.57,224,0.900,bicubic,-10.790,-5.702,-1 swsl_resnet50,71.700,28.300,90.500,9.500,25.56,224,0.875,bilinear,-9.466,-5.472,+31
tf_efficientnet_b3_ap,70.930,29.070,89.220,10.780,12.23,300,0.904,bicubic,-10.872,-6.380,-3 tresnet_xl,71.660,28.340,89.630,10.370,78.44,224,0.875,bilinear,-10.394,-6.306,+6
vit_large_patch32_384,70.820,29.180,90.460,9.540,306.63,384,1.000,bicubic,-10.686,-5.648,+4 efficientnet_v2s,71.610,28.390,90.200,9.800,23.94,224,1.000,bicubic,-10.460,-5.754,+4
rexnet_200,70.770,29.230,89.690,10.310,16.37,224,0.875,bicubic,-10.918,-6.000,-2 tresnet_l_448,71.600,28.400,90.050,9.950,55.99,448,0.875,bilinear,-10.668,-5.926,-3
tresnet_m_448,70.740,29.260,88.670,11.330,31.39,448,0.875,bilinear,-10.952,-6.890,-4 ssl_resnext101_32x8d,71.500,28.500,90.460,9.540,88.79,224,0.875,bilinear,-10.116,-5.578,+13
tf_efficientnet_b1_ns,70.700,29.300,89.880,10.120,7.79,240,0.882,bicubic,-10.698,-5.850,+3 ecaresnet101d,71.490,28.510,90.330,9.670,44.57,224,0.875,bicubic,-10.682,-5.716,-1
resnest50d_4s2x40d,70.670,29.330,89.430,10.570,30.42,224,0.875,bicubic,-10.478,-6.122,+9 efficientnet_b3a,71.480,28.520,90.060,9.940,12.23,320,1.000,bicubic,-10.762,-6.054,-5
wide_resnet50_2,70.670,29.330,89.160,10.840,68.88,224,0.875,bicubic,-10.636,-6.428,+4 efficientnet_b3,71.460,28.540,90.090,9.910,12.23,300,0.904,bicubic,-10.616,-5.930,-2
tresnet_l,70.600,29.400,89.610,10.390,55.99,224,0.875,bilinear,-10.890,-5.974,-1 ssl_resnext101_32x16d,71.410,28.590,90.560,9.440,194.03,224,0.875,bilinear,-10.434,-5.536,+2
legacy_senet154,70.500,29.500,88.910,11.090,115.09,224,0.875,bilinear,-10.822,-6.544,+1 pit_s_distilled_224,71.380,28.620,89.780,10.220,24.04,224,0.900,bicubic,-10.616,-6.018,0
vit_deit_small_distilled_patch16_224,70.480,29.520,89.460,10.540,22.44,224,0.900,bicubic,-10.770,-5.936,+3 vit_base_patch16_224,71.330,28.670,90.460,9.540,86.57,224,0.900,bicubic,-10.456,-5.662,+2
tf_efficientnet_b3,70.440,29.560,89.280,10.720,12.23,300,0.904,bicubic,-11.186,-6.426,-8 ecaresnet50t,71.280,28.720,90.420,9.580,25.57,320,0.950,bicubic,-11.066,-5.718,-12
gluon_seresnext101_64x4d,70.420,29.580,89.350,10.650,88.23,224,0.875,bicubic,-10.432,-5.986,+11 vit_base_patch32_384,71.180,28.820,90.630,9.370,88.30,384,1.000,bicubic,-10.472,-5.498,+2
ssl_resnext101_32x4d,70.370,29.630,89.910,10.090,44.18,224,0.875,bilinear,-10.654,-5.838,+4 vit_deit_base_patch16_224,71.170,28.830,89.200,10.800,86.57,224,0.900,bicubic,-10.828,-6.534,-5
gluon_senet154,70.360,29.640,88.890,11.110,115.09,224,0.875,bicubic,-10.856,-6.430,0 tresnet_m_448,70.990,29.010,88.680,11.320,31.39,448,0.875,bilinear,-10.724,-6.892,-1
resnest50d_1s4x24d,70.360,29.640,89.210,10.790,25.68,224,0.875,bicubic,-10.578,-6.108,+5 resnest50d_4s2x40d,70.950,29.050,89.710,10.290,30.42,224,0.875,bicubic,-10.158,-5.848,+17
gernet_l,70.350,29.650,89.060,10.940,31.08,256,0.875,bilinear,-10.994,-6.480,-7 wide_resnet50_2,70.950,29.050,89.230,10.770,68.88,224,0.875,bicubic,-10.506,-6.302,+6
resnetv2_101x1_bitm,70.340,29.660,90.640,9.360,44.54,480,1.000,bilinear,-11.868,-5.820,-27 tnt_s_patch16_224,70.930,29.070,89.600,10.400,23.76,224,0.900,bicubic,-10.588,-6.148,+2
resnest50d,70.300,29.700,88.670,11.330,27.48,224,0.875,bilinear,-10.670,-6.680,+1 tf_efficientnet_b3_ap,70.920,29.080,89.430,10.570,12.23,300,0.904,bicubic,-10.902,-6.194,-7
seresnext50_32x4d,70.200,29.800,89.130,10.870,27.56,224,0.875,bicubic,-11.070,-6.526,-7 tf_efficientnet_b1_ns,70.870,29.130,90.120,9.880,7.79,240,0.882,bicubic,-10.518,-5.618,+4
gluon_resnet152_v1s,70.180,29.820,88.820,11.180,60.32,224,0.875,bicubic,-10.840,-6.606,-2 vit_large_patch32_384,70.860,29.140,90.570,9.430,306.63,384,1.000,bicubic,-10.646,-5.522,0
tf_efficientnet_lite4,70.170,29.830,89.180,10.820,13.01,380,0.920,bilinear,-11.346,-6.444,-16 rexnet_200,70.840,29.160,89.700,10.300,16.37,224,0.875,bicubic,-10.792,-5.968,-5
repvgg_b3,69.980,30.020,88.730,11.270,123.09,224,0.875,bilinear,-10.460,-6.464,+14 tresnet_l,70.840,29.160,89.630,10.370,55.99,224,0.875,bilinear,-10.650,-5.994,-1
inception_resnet_v2,69.920,30.080,88.680,11.320,55.84,299,0.897,bicubic,-10.528,-6.612,+12 resnetv2_101x1_bitm,70.710,29.290,90.800,9.200,44.54,480,1.000,bilinear,-11.502,-5.672,-21
regnety_320,69.910,30.090,88.780,11.220,145.05,224,0.875,bicubic,-10.872,-6.482,+1 tf_efficientnet_b3,70.640,29.360,89.440,10.560,12.23,300,0.904,bicubic,-10.996,-6.278,-9
ecaresnet101d_pruned,69.810,30.190,89.420,10.580,24.88,224,0.875,bicubic,-11.076,-6.152,-4 gluon_senet154,70.600,29.400,88.920,11.080,115.09,224,0.875,bicubic,-10.634,-6.428,+4
gluon_seresnext101_32x4d,69.810,30.190,88.930,11.070,48.96,224,0.875,bicubic,-11.068,-6.344,-4 ssl_resnext101_32x4d,70.530,29.470,89.760,10.240,44.18,224,0.875,bilinear,-10.394,-5.968,+11
gernet_m,69.650,30.350,88.450,11.550,21.14,224,0.875,bilinear,-11.080,-6.762,-1 vit_deit_small_distilled_patch16_224,70.520,29.480,89.470,10.530,22.44,224,0.900,bicubic,-10.680,-5.908,+3
ecaresnet50d,69.600,30.400,89.240,10.760,25.58,224,0.875,bicubic,-11.014,-6.074,+2 legacy_senet154,70.500,29.500,89.010,10.990,115.09,224,0.875,bilinear,-10.810,-6.486,-1
ssl_resnext50_32x4d,69.580,30.420,89.480,10.520,25.03,224,0.875,bilinear,-10.752,-5.902,+13 tf_efficientnet_lite4,70.430,29.570,89.110,10.890,13.01,380,0.920,bilinear,-11.106,-6.558,-12
tresnet_m,69.570,30.430,87.900,12.100,31.39,224,0.875,bilinear,-11.150,-6.956,-4 gluon_seresnext101_64x4d,70.430,29.570,89.350,10.650,88.23,224,0.875,bicubic,-10.464,-5.958,+10
repvgg_b3g4,69.570,30.430,88.570,11.430,83.83,224,0.875,bilinear,-10.668,-6.498,+20 resnest50d,70.410,29.590,88.760,11.240,27.48,224,0.875,bilinear,-10.564,-6.618,+5
gluon_resnet152_v1d,69.550,30.450,88.410,11.590,60.21,224,0.875,bicubic,-10.930,-6.852,+1 resnest50d_1s4x24d,70.400,29.600,89.220,10.780,25.68,224,0.875,bicubic,-10.588,-6.102,+3
gluon_resnext101_64x4d,69.500,30.500,88.190,11.810,83.46,224,0.875,bicubic,-11.136,-6.800,-4 seresnext50_32x4d,70.400,29.600,89.110,10.890,27.56,224,0.875,bicubic,-10.866,-6.510,-5
efficientnet_b3_pruned,69.450,30.550,88.740,11.260,9.86,300,0.904,bicubic,-11.370,-6.484,-10 gernet_l,70.350,29.650,88.980,11.020,31.08,256,0.875,bilinear,-11.004,-6.556,-9
efficientnet_b2a,69.420,30.580,88.630,11.370,9.11,288,1.000,bicubic,-11.188,-6.668,-4 gluon_resnet152_v1s,70.290,29.710,88.850,11.150,60.32,224,0.875,bicubic,-10.726,-6.562,-1
regnetx_320,69.400,30.600,88.150,11.850,107.81,224,0.875,bicubic,-10.914,-6.918,+8 repvgg_b3,70.250,29.750,88.730,11.270,123.09,224,0.875,bilinear,-10.242,-6.530,+14
ens_adv_inception_resnet_v2,69.380,30.620,88.330,11.670,55.84,299,0.897,bicubic,-10.550,-6.620,+24 ecaresnet101d_pruned,70.130,29.870,89.590,10.410,24.88,224,0.875,bicubic,-10.686,-6.038,+4
ecaresnetlight,69.350,30.650,89.020,10.980,30.16,224,0.875,bicubic,-11.110,-6.182,-4 efficientnet_el,70.120,29.880,89.290,10.710,10.59,300,0.904,bicubic,-11.196,-6.236,-12
inception_v4,69.350,30.650,88.760,11.240,42.68,299,0.875,bicubic,-10.804,-6.202,+14 inception_resnet_v2,70.120,29.880,88.700,11.300,55.84,299,0.897,bicubic,-10.338,-6.606,+15
nf_resnet50,69.350,30.650,88.710,11.290,25.56,288,0.940,bicubic,-11.316,-6.648,-12 gluon_seresnext101_32x4d,70.010,29.990,88.900,11.100,48.96,224,0.875,bicubic,-10.894,-6.394,-2
xception71,69.310,30.690,88.130,11.870,42.34,299,0.903,bicubic,-10.536,-6.806,+26 regnety_320,70.000,30.000,88.890,11.110,145.05,224,0.875,bicubic,-10.812,-6.354,+1
rexnet_150,69.140,30.860,88.910,11.090,9.73,224,0.875,bicubic,-11.210,-6.292,-1 gluon_resnet152_v1d,69.960,30.040,88.490,11.510,60.21,224,0.875,bicubic,-10.514,-6.716,+10
mixnet_xl,69.090,30.910,88.330,11.670,11.90,224,0.875,bicubic,-11.334,-6.558,-5 pit_s_224,69.890,30.110,88.930,11.070,23.46,224,0.900,bicubic,-11.204,-6.402,-10
resnet50d,69.060,30.940,88.260,11.740,25.58,224,0.875,bicubic,-11.432,-6.868,-12 ecaresnet50d,69.840,30.160,89.400,10.600,25.58,224,0.875,bicubic,-10.752,-5.920,+4
regnety_120,69.040,30.960,88.210,11.790,51.82,224,0.875,bicubic,-11.334,-6.898,-5 ssl_resnext50_32x4d,69.710,30.290,89.440,10.560,25.03,224,0.875,bilinear,-10.608,-5.966,+14
legacy_seresnext101_32x4d,69.020,30.980,88.150,11.850,48.96,224,0.875,bilinear,-11.262,-6.874,+2 gluon_resnext101_64x4d,69.680,30.320,88.270,11.730,83.46,224,0.875,bicubic,-10.924,-6.718,+1
seresnet50,69.020,30.980,88.470,11.530,28.09,224,0.875,bicubic,-11.272,-6.578,-1 tresnet_m,69.660,30.340,87.990,12.010,31.39,224,0.875,bilinear,-11.142,-6.870,-4
gluon_resnext101_32x4d,68.980,31.020,88.340,11.660,44.18,224,0.875,bicubic,-11.238,-6.568,+3 efficientnet_b3_pruned,69.580,30.420,88.980,11.020,9.86,300,0.904,bicubic,-11.278,-6.262,-8
efficientnet_b2,68.880,31.120,88.640,11.360,9.11,260,0.875,bicubic,-11.434,-6.472,-6 nf_resnet50,69.580,30.420,88.730,11.270,25.56,288,0.940,bicubic,-11.114,-6.626,-4
gluon_resnet152_v1c,68.870,31.130,87.890,12.110,60.21,224,0.875,bicubic,-10.980,-7.000,+16 gernet_m,69.530,30.470,88.690,11.310,21.14,224,0.875,bilinear,-11.202,-6.494,-6
gluon_xception65,68.810,31.190,88.000,12.000,39.92,299,0.903,bicubic,-10.946,-6.852,+20 repvgg_b3g4,69.520,30.480,88.450,11.550,83.83,224,0.875,bilinear,-10.692,-6.660,+15
tf_efficientnet_b2_ap,68.800,31.200,88.260,11.740,9.11,260,0.890,bicubic,-11.440,-6.724,-3 efficientnet_el_pruned,69.520,30.480,88.930,11.070,10.59,300,0.904,bicubic,-10.780,-6.288,+11
repvgg_b2g4,68.780,31.220,88.220,11.780,61.76,224,0.875,bilinear,-10.624,-6.486,+32 ens_adv_inception_resnet_v2,69.520,30.480,88.510,11.490,55.84,299,0.897,bicubic,-10.462,-6.426,+25
cspresnext50,68.770,31.230,88.030,11.970,20.57,224,0.875,bilinear,-11.236,-6.902,+5 efficientnet_b2a,69.500,30.500,88.680,11.320,9.11,288,1.000,bicubic,-11.112,-6.638,-8
cspdarknet53,68.760,31.240,88.440,11.560,27.64,256,0.887,bilinear,-11.290,-6.636,+1 rexnet_150,69.470,30.530,88.980,11.020,9.73,224,0.875,bicubic,-10.840,-6.186,+5
resnext50d_32x4d,68.760,31.240,88.250,11.750,25.05,224,0.875,bicubic,-10.928,-6.594,+19 swin_tiny_patch4_window7_224,69.450,30.550,89.020,10.980,28.29,224,0.900,bicubic,-11.928,-6.520,-32
hrnet_w64,68.750,31.250,88.080,11.920,128.06,224,0.875,bilinear,-10.738,-6.558,+26 regnetx_320,69.440,30.560,88.270,11.730,107.81,224,0.875,bicubic,-10.806,-6.756,+9
xception65,68.690,31.310,88.230,11.770,39.92,299,0.903,bicubic,-10.902,-6.428,+20 inception_v4,69.360,30.640,88.780,11.220,42.68,299,0.875,bicubic,-10.808,-6.188,+12
gluon_resnet152_v1b,68.670,31.330,87.630,12.370,60.19,224,0.875,bicubic,-10.964,-7.128,+18 legacy_seresnext101_32x4d,69.360,30.640,88.070,11.930,48.96,224,0.875,bilinear,-10.868,-6.948,+8
regnety_160,68.650,31.350,88.260,11.740,83.59,224,0.875,bicubic,-11.764,-6.720,-21 ecaresnetlight,69.340,30.660,89.220,10.780,30.16,224,0.875,bicubic,-11.122,-6.030,-7
gluon_resnet101_v1s,68.630,31.370,87.790,12.210,44.67,224,0.875,bicubic,-11.666,-7.386,-16 resnet50d,69.330,30.670,88.220,11.780,25.58,224,0.875,bicubic,-11.200,-6.940,-12
gluon_seresnext50_32x4d,68.600,31.400,88.070,11.930,27.56,224,0.875,bicubic,-11.348,-6.766,-2 xception71,69.320,30.680,88.260,11.740,42.34,299,0.903,bicubic,-10.554,-6.662,+20
gluon_resnet101_v1d,68.590,31.410,88.000,12.000,44.57,224,0.875,bicubic,-11.840,-7.014,-26 gluon_xception65,69.160,30.840,88.090,11.910,39.92,299,0.903,bicubic,-10.556,-6.770,+28
regnety_064,68.500,31.500,87.930,12.070,30.58,224,0.875,bicubic,-11.236,-6.828,+8 gluon_resnet152_v1c,69.140,30.860,87.870,12.130,60.21,224,0.875,bicubic,-10.770,-6.970,+16
regnety_080,68.500,31.500,87.990,12.010,39.18,224,0.875,bicubic,-11.340,-6.858,+3 mixnet_xl,69.100,30.900,88.310,11.690,11.90,224,0.875,bicubic,-11.376,-6.626,-14
vit_deit_small_patch16_224,68.480,31.520,88.220,11.780,22.05,224,0.900,bicubic,-11.388,-6.822,-2 gluon_resnet101_v1d,69.010,30.990,88.100,11.900,44.57,224,0.875,bicubic,-11.404,-6.914,-11
dpn131,68.460,31.540,87.320,12.680,79.25,224,0.875,bicubic,-11.406,-7.406,-2 repvgg_b2g4,69.000,31.000,88.360,11.640,61.76,224,0.875,bilinear,-10.366,-6.328,+35
resnext50_32x4d,68.450,31.550,87.590,12.410,25.03,224,0.875,bicubic,-11.272,-7.016,+5 seresnet50,68.980,31.020,88.710,11.290,28.09,224,0.875,bicubic,-11.294,-6.360,-4
dpn107,68.430,31.570,88.070,11.930,86.92,224,0.875,bicubic,-11.750,-6.836,-17 xception65,68.980,31.020,88.480,11.520,39.92,299,0.903,bicubic,-10.572,-6.174,+28
regnetx_160,68.410,31.590,88.280,11.720,54.28,224,0.875,bicubic,-11.474,-6.546,-8 efficientnet_b2,68.970,31.030,88.630,11.370,9.11,260,0.875,bicubic,-11.422,-6.446,-14
cspresnet50,68.410,31.590,88.060,11.940,21.62,256,0.887,bilinear,-11.172,-6.652,+9 gluon_resnext101_32x4d,68.960,31.040,88.360,11.640,44.18,224,0.875,bicubic,-11.374,-6.566,-13
skresnext50_32x4d,68.400,31.600,87.640,12.360,27.48,224,0.875,bicubic,-11.754,-7.062,-18 tf_efficientnet_b2_ap,68.920,31.080,88.350,11.650,9.11,260,0.890,bicubic,-11.380,-6.678,-9
dla102x2,68.380,31.620,87.840,12.160,41.28,224,0.875,bilinear,-11.048,-6.788,+11 cspdarknet53,68.890,31.110,88.600,11.400,27.64,256,0.887,bilinear,-11.168,-6.484,+1
tf_efficientnet_b2,68.360,31.640,88.000,12.000,9.11,260,0.890,bicubic,-11.664,-6.944,-16 regnety_120,68.850,31.150,88.330,11.670,51.82,224,0.875,bicubic,-11.516,-6.796,-17
ecaresnet50d_pruned,68.350,31.650,88.290,11.710,19.94,224,0.875,bicubic,-11.326,-6.632,+1 gluon_resnet152_v1b,68.820,31.180,87.710,12.290,60.19,224,0.875,bicubic,-10.866,-7.026,+17
efficientnet_b2_pruned,68.350,31.650,88.130,11.870,8.31,260,0.890,bicubic,-11.482,-6.676,-7 dpn131,68.770,31.230,87.470,12.530,79.25,224,0.875,bicubic,-11.052,-7.240,+10
dpn98,68.310,31.690,87.590,12.410,61.57,224,0.875,bicubic,-11.378,-7.054,-3 cspresnext50,68.760,31.240,87.950,12.050,20.57,224,0.875,bilinear,-11.280,-6.994,-2
ecaresnet26t,68.290,31.710,88.590,11.410,16.01,320,0.950,bicubic,-11.594,-6.482,-16 tf_efficientnet_b2,68.750,31.250,87.990,12.010,9.11,260,0.890,bicubic,-11.336,-6.918,-5
ese_vovnet39b,68.260,31.740,88.230,11.770,24.57,224,0.875,bicubic,-10.946,-6.498,+18 resnext50d_32x4d,68.740,31.260,88.300,11.700,25.05,224,0.875,bicubic,-10.936,-6.566,+14
regnetx_120,68.160,31.840,87.520,12.480,46.11,224,0.875,bicubic,-11.414,-7.172,0 vit_deit_small_patch16_224,68.720,31.280,88.200,11.800,22.05,224,0.900,bicubic,-11.136,-6.852,+4
rexnet_130,68.150,31.850,88.090,11.910,7.56,224,0.875,bicubic,-11.366,-6.570,+1 gluon_resnet101_v1s,68.710,31.290,87.910,12.090,44.67,224,0.875,bicubic,-11.592,-7.250,-20
ssl_resnet50,68.150,31.850,88.640,11.360,25.56,224,0.875,bilinear,-11.090,-6.274,+10 regnety_080,68.700,31.300,87.970,12.030,39.18,224,0.875,bicubic,-11.176,-6.860,-1
tf_efficientnet_el,68.140,31.860,88.010,11.990,10.59,300,0.904,bicubic,-12.152,-7.110,-36 dpn107,68.690,31.310,88.130,11.870,86.92,224,0.875,bicubic,-11.466,-6.512,-11
gluon_resnext50_32x4d,68.090,31.910,87.380,12.620,25.03,224,0.875,bicubic,-11.230,-7.120,+4 gluon_seresnext50_32x4d,68.670,31.330,88.310,11.690,27.56,224,0.875,bicubic,-11.248,-6.512,-6
tf_efficientnet_lite3,68.080,31.920,87.790,12.210,8.20,300,0.904,bilinear,-11.678,-7.074,-15 hrnet_w64,68.640,31.360,88.050,11.950,128.06,224,0.875,bilinear,-10.834,-6.602,+15
gluon_resnet50_v1d,68.070,31.930,86.900,13.100,25.58,224,0.875,bicubic,-11.002,-7.578,+18 resnext50_32x4d,68.640,31.360,87.570,12.430,25.03,224,0.875,bicubic,-11.128,-7.028,+2
regnetx_080,68.040,31.960,87.120,12.880,39.57,224,0.875,bicubic,-11.134,-7.436,+11 dpn98,68.590,31.410,87.680,12.320,61.57,224,0.875,bicubic,-11.052,-6.918,+7
nf_regnet_b1,67.870,32.130,88.070,11.930,10.22,288,0.900,bicubic,-11.454,-6.702,-1 regnetx_160,68.530,31.470,88.450,11.550,54.28,224,0.875,bicubic,-11.326,-6.380,-5
legacy_seresnext50_32x4d,67.840,32.160,87.570,12.430,27.56,224,0.875,bilinear,-11.268,-6.908,+12 cspresnet50,68.460,31.540,88.010,11.990,21.62,256,0.887,bilinear,-11.114,-6.702,+7
hrnet_w48,67.840,32.160,87.470,12.530,77.47,224,0.875,bilinear,-11.396,-7.052,+4 rexnet_130,68.450,31.550,88.040,11.960,7.56,224,0.875,bicubic,-11.050,-6.642,+9
resnext101_32x8d,67.790,32.210,87.410,12.590,88.79,224,0.875,bilinear,-11.420,-7.146,+5 regnety_064,68.420,31.580,88.080,11.920,30.58,224,0.875,bicubic,-11.302,-6.688,-3
efficientnet_em,67.660,32.340,88.040,11.960,6.90,240,0.882,bicubic,-11.570,-6.752,+2 tf_efficientnet_el,68.420,31.580,88.210,11.790,10.59,300,0.904,bicubic,-11.830,-6.918,-28
regnetx_064,67.660,32.340,87.290,12.710,26.21,224,0.875,bicubic,-11.418,-7.170,+10 ecaresnet50d_pruned,68.420,31.580,88.370,11.630,19.94,224,0.875,bicubic,-11.296,-6.510,-1
tf_efficientnet_b0_ns,67.640,32.360,87.950,12.050,5.29,224,0.875,bicubic,-10.960,-6.438,+26 ssl_resnet50,68.410,31.590,88.560,11.440,25.56,224,0.875,bilinear,-10.812,-6.272,+20
legacy_seresnet152,67.630,32.370,87.420,12.580,66.82,224,0.875,bilinear,-11.014,-6.970,+22 skresnext50_32x4d,68.350,31.650,87.570,12.430,27.48,224,0.875,bicubic,-11.806,-7.340,-24
regnety_040,67.610,32.390,87.480,12.520,20.65,224,0.875,bicubic,-11.606,-7.182,-1 dla102x2,68.330,31.670,87.890,12.110,41.28,224,0.875,bilinear,-11.118,-6.750,+5
res2net50_26w_8s,67.600,32.400,87.150,12.850,48.40,224,0.875,bilinear,-11.530,-7.254,+3 efficientnet_b2_pruned,68.320,31.680,88.100,11.900,8.31,260,0.890,bicubic,-11.596,-6.756,-18
dla169,67.560,32.440,87.570,12.430,53.39,224,0.875,bilinear,-11.172,-6.764,+18 gluon_resnext50_32x4d,68.310,31.690,87.300,12.700,25.03,224,0.875,bicubic,-11.044,-7.126,+5
resnetblur50,67.550,32.450,87.440,12.560,25.56,224,0.875,bicubic,-11.712,-7.182,-9 ecaresnet26t,68.230,31.770,88.790,11.210,16.01,320,0.950,bicubic,-11.624,-6.294,-14
hrnet_w44,67.550,32.450,87.570,12.430,67.06,224,0.875,bilinear,-11.336,-6.840,+11 tf_efficientnet_lite3,68.230,31.770,87.740,12.260,8.20,300,0.904,bilinear,-11.590,-7.174,-13
dpn68b,67.540,32.460,87.430,12.570,12.61,224,0.875,bicubic,-11.600,-6.994,-2 ese_vovnet39b,68.210,31.790,88.250,11.750,24.57,224,0.875,bicubic,-11.110,-6.462,+3
gluon_inception_v3,67.540,32.460,87.150,12.850,23.83,299,0.875,bicubic,-11.290,-7.248,+11 regnetx_120,68.150,31.850,87.660,12.340,46.11,224,0.875,bicubic,-11.446,-7.078,-7
resnetv2_50x1_bitm,67.500,32.500,89.040,10.960,25.55,480,1.000,bilinear,-12.652,-6.604,-48 pit_xs_distilled_224,68.020,31.980,87.720,12.280,11.00,224,0.900,bicubic,-11.286,-6.644,+6
resnet50,67.460,32.540,87.510,12.490,25.56,224,0.875,bicubic,-11.544,-6.882,+2 dpn92,67.990,32.010,87.580,12.420,37.67,224,0.875,bicubic,-12.018,-7.258,-28
xception,67.440,32.560,87.560,12.440,22.86,299,0.897,bicubic,-11.588,-6.810,0 nf_regnet_b1,67.980,32.020,88.180,11.820,10.22,288,0.900,bicubic,-11.326,-6.568,+3
tf_efficientnet_b1_ap,67.430,32.570,87.520,12.480,7.79,240,0.882,bicubic,-11.860,-6.806,-17 gluon_resnet50_v1d,67.940,32.060,87.130,12.870,25.58,224,0.875,bicubic,-11.134,-7.340,+15
tf_efficientnet_cc_b1_8e,67.410,32.590,87.270,12.730,39.72,240,0.882,bicubic,-11.878,-7.088,-17 regnetx_080,67.880,32.120,86.990,13.010,39.57,224,0.875,bicubic,-11.314,-7.570,+12
gluon_resnet101_v1c,67.400,32.600,87.120,12.880,44.57,224,0.875,bicubic,-12.150,-7.522,-27 resnext101_32x8d,67.860,32.140,87.490,12.510,88.79,224,0.875,bilinear,-11.448,-7.028,-3
dpn92,67.390,32.610,87.300,12.700,37.67,224,0.875,bicubic,-12.644,-7.518,-52 efficientnet_em,67.840,32.160,88.120,11.880,6.90,240,0.882,bicubic,-11.412,-6.674,+4
gluon_resnet101_v1b,67.380,32.620,86.960,13.040,44.55,224,0.875,bicubic,-11.980,-7.548,-24 legacy_seresnext50_32x4d,67.840,32.160,87.620,12.380,27.56,224,0.875,bilinear,-11.238,-6.816,+10
hrnet_w40,67.340,32.660,87.230,12.770,57.56,224,0.875,bilinear,-11.566,-7.204,-2 hrnet_w48,67.770,32.230,87.420,12.580,77.47,224,0.875,bilinear,-11.530,-7.092,-1
xception41,67.340,32.660,87.190,12.810,26.97,299,0.903,bicubic,-11.156,-7.066,+12 hrnet_w44,67.740,32.260,87.560,12.440,67.06,224,0.875,bilinear,-11.156,-6.808,+15
res2net101_26w_4s,67.330,32.670,87.240,12.760,45.21,224,0.875,bilinear,-11.790,-7.192,-12 tf_efficientnet_b0_ns,67.710,32.290,88.070,11.930,5.29,224,0.875,bicubic,-10.948,-6.306,+24
efficientnet_b1,67.280,32.720,87.040,12.960,7.79,240,0.875,bicubic,-11.324,-7.054,+4 regnetx_064,67.680,32.320,87.520,12.480,26.21,224,0.875,bicubic,-11.392,-6.938,+8
regnetx_032,67.090,32.910,87.050,12.950,15.30,224,0.875,bicubic,-11.058,-7.016,+20 xception,67.650,32.350,87.570,12.430,22.86,299,0.897,bicubic,-11.402,-6.822,+8
dla60_res2net,67.080,32.920,87.020,12.980,20.85,224,0.875,bilinear,-11.442,-7.232,+6 dpn68b,67.630,32.370,87.660,12.340,12.61,224,0.875,bicubic,-11.586,-6.754,0
dla102x,67.080,32.920,86.730,13.270,26.31,224,0.875,bilinear,-11.448,-7.476,+4 dla169,67.610,32.390,87.590,12.410,53.39,224,0.875,bilinear,-11.078,-6.746,+18
resnest26d,67.080,32.920,87.100,12.900,17.07,224,0.875,bilinear,-11.360,-7.196,+9 gluon_inception_v3,67.590,32.410,87.470,12.530,23.83,299,0.875,bicubic,-11.216,-6.900,+12
tv_resnet152,67.050,32.950,87.430,12.570,60.19,224,0.875,bilinear,-11.200,-6.552,+13 gluon_resnet101_v1c,67.580,32.420,87.180,12.820,44.57,224,0.875,bicubic,-11.954,-7.398,-21
dla60x,67.040,32.960,87.200,12.800,17.35,224,0.875,bilinear,-11.186,-6.788,+13 regnety_040,67.580,32.420,87.510,12.490,20.65,224,0.875,bicubic,-11.640,-7.146,-5
legacy_seresnet101,67.040,32.960,87.120,12.880,49.33,224,0.875,bilinear,-11.380,-7.054,+8 res2net50_26w_8s,67.570,32.430,87.280,12.720,48.40,224,0.875,bilinear,-11.628,-7.088,-4
mixnet_l,66.980,33.020,86.880,13.120,7.33,224,0.875,bicubic,-11.952,-7.304,-15 hrnet_w40,67.560,32.440,87.140,12.860,57.56,224,0.875,bilinear,-11.360,-7.330,+4
gluon_resnet50_v1s,66.950,33.050,86.710,13.290,25.68,224,0.875,bicubic,-11.838,-7.530,-8 resnetv2_50x1_bitm,67.520,32.480,89.250,10.750,25.55,480,1.000,bilinear,-12.652,-6.376,-55
repvgg_b2,66.910,33.090,87.160,12.840,89.02,224,0.875,bilinear,-11.972,-7.186,-13 tf_efficientnet_b1_ap,67.520,32.480,87.760,12.240,7.79,240,0.882,bicubic,-11.760,-6.546,-13
hrnet_w30,66.870,33.130,86.780,13.220,37.71,224,0.875,bilinear,-11.264,-7.412,+11 legacy_seresnet152,67.520,32.480,87.390,12.610,66.82,224,0.875,bilinear,-11.140,-6.980,+13
res2net50_26w_6s,66.860,33.140,86.830,13.170,37.05,224,0.875,bilinear,-11.744,-7.334,-7 gluon_resnet101_v1b,67.460,32.540,87.240,12.760,44.55,224,0.875,bicubic,-11.846,-7.284,-19
tf_efficientnet_b1,66.860,33.140,86.940,13.060,7.79,240,0.882,bicubic,-11.972,-7.266,-15 tf_efficientnet_cc_b1_8e,67.450,32.550,87.310,12.690,39.72,240,0.882,bicubic,-11.858,-7.060,-21
repvgg_b1,66.750,33.250,86.560,13.440,57.42,224,0.875,bilinear,-11.692,-7.598,-3 res2net101_26w_4s,67.440,32.560,87.010,12.990,45.21,224,0.875,bilinear,-11.758,-7.422,-10
efficientnet_es,66.750,33.250,86.640,13.360,5.44,224,0.875,bicubic,-11.282,-7.260,+12 resnet50,67.440,32.560,87.420,12.580,25.56,224,0.875,bicubic,-11.598,-6.970,-5
dla60_res2next,66.740,33.260,87.030,12.970,17.03,224,0.875,bilinear,-11.582,-7.160,0 resnetblur50,67.430,32.570,87.440,12.560,25.56,224,0.875,bicubic,-11.856,-7.198,-19
gluon_resnet50_v1c,66.680,33.320,86.120,13.880,25.58,224,0.875,bicubic,-11.246,-7.886,+11 regnetx_032,67.290,32.710,87.000,13.000,15.30,224,0.875,bicubic,-10.882,-7.088,+24
hrnet_w32,66.680,33.320,87.370,12.630,41.23,224,0.875,bilinear,-11.744,-6.832,-4 xception41,67.250,32.750,87.200,12.800,26.97,299,0.903,bicubic,-11.266,-7.078,+7
wide_resnet101_2,66.660,33.340,87.060,12.940,126.89,224,0.875,bilinear,-12.250,-7.284,-25 resnest26d,67.200,32.800,87.170,12.830,17.07,224,0.875,bilinear,-11.278,-7.128,+9
regnetx_040,66.620,33.380,86.550,13.450,22.12,224,0.875,bicubic,-11.874,-7.720,-9 efficientnet_b1,67.170,32.830,87.150,12.850,7.79,240,0.875,bicubic,-11.528,-6.994,0
tf_mixnet_l,66.550,33.450,86.530,13.470,7.33,224,0.875,bicubic,-12.252,-7.524,-21 repvgg_b2,67.160,32.840,87.330,12.670,89.02,224,0.875,bilinear,-11.632,-7.084,-5
dla102,66.530,33.470,86.920,13.080,33.27,224,0.875,bilinear,-11.524,-6.998,+3 legacy_seresnet101,67.160,32.840,87.060,12.940,49.33,224,0.875,bilinear,-11.222,-7.204,+12
selecsls60,66.530,33.470,86.400,13.600,30.67,224,0.875,bicubic,-11.384,-7.422,+7 dla60x,67.100,32.900,87.190,12.810,17.35,224,0.875,bilinear,-11.146,-6.828,+13
selecsls60b,66.440,33.560,86.500,13.500,32.77,224,0.875,bicubic,-12.056,-7.692,-15 gluon_resnet50_v1s,67.060,32.940,86.860,13.140,25.68,224,0.875,bicubic,-11.650,-7.378,-5
adv_inception_v3,66.420,33.580,86.370,13.630,23.83,299,0.875,bicubic,-11.142,-7.316,+15 tv_resnet152,67.050,32.950,87.550,12.450,60.19,224,0.875,bilinear,-11.262,-6.488,+10
tf_inception_v3,66.380,33.620,86.540,13.460,23.83,299,0.875,bicubic,-11.424,-7.184,+8 dla60_res2net,67.020,32.980,87.160,12.840,20.85,224,0.875,bilinear,-11.444,-7.046,+3
efficientnet_b0,66.150,33.850,86.160,13.840,5.29,224,0.875,bicubic,-11.460,-7.404,+12 dla102x,67.010,32.990,86.770,13.230,26.31,224,0.875,bilinear,-11.500,-7.458,-1
legacy_seresnet50,66.140,33.860,86.220,13.780,28.09,224,0.875,bilinear,-11.472,-7.576,+10 mixnet_l,66.940,33.060,86.910,13.090,7.33,224,0.875,bicubic,-12.036,-7.272,-17
tf_efficientnet_cc_b0_8e,66.130,33.870,86.070,13.930,24.01,224,0.875,bicubic,-11.796,-7.528,0 pit_xs_224,66.920,33.080,87.280,12.720,10.62,224,0.900,bicubic,-11.262,-6.888,+11
regnety_016,66.070,33.930,86.320,13.680,11.20,224,0.875,bicubic,-11.734,-7.330,+5 res2net50_26w_6s,66.910,33.090,86.860,13.140,37.05,224,0.875,bilinear,-11.660,-7.264,-6
gluon_resnet50_v1b,66.010,33.990,86.370,13.630,25.56,224,0.875,bicubic,-11.654,-7.304,+5 repvgg_b1,66.900,33.100,86.780,13.220,57.42,224,0.875,bilinear,-11.466,-7.318,+3
tf_efficientnet_em,65.960,34.040,86.240,13.760,6.90,240,0.882,bicubic,-12.200,-7.806,-12 tf_efficientnet_b1,66.880,33.120,87.010,12.990,7.79,240,0.882,bicubic,-11.946,-7.188,-18
inception_v3,65.940,34.060,86.140,13.860,23.83,299,0.875,bicubic,-11.470,-7.334,+12 efficientnet_es,66.880,33.120,86.730,13.270,5.44,224,0.875,bicubic,-11.186,-7.196,+13
efficientnet_b1_pruned,65.930,34.070,86.510,13.490,6.33,240,0.882,bicubic,-12.344,-7.298,-17 regnetx_040,66.840,33.160,86.730,13.270,22.12,224,0.875,bicubic,-11.642,-7.514,-7
res2net50_26w_4s,65.910,34.090,86.570,13.430,25.70,224,0.875,bilinear,-12.056,-7.260,-8 hrnet_w30,66.780,33.220,86.800,13.200,37.71,224,0.875,bilinear,-11.426,-7.422,+4
res2net50_14w_8s,65.890,34.110,86.180,13.820,25.06,224,0.875,bilinear,-12.228,-7.656,-13 tf_mixnet_l,66.780,33.220,86.470,13.530,7.33,224,0.875,bicubic,-11.994,-7.528,-18
rexnet_100,65.880,34.120,86.530,13.470,4.80,224,0.875,bicubic,-12.006,-7.328,-6 selecsls60b,66.760,33.240,86.530,13.470,32.77,224,0.875,bicubic,-11.652,-7.644,-5
skresnet34,65.860,34.140,85.860,14.140,22.28,224,0.875,bicubic,-11.050,-7.412,+21 hrnet_w32,66.750,33.250,87.300,12.700,41.23,224,0.875,bilinear,-11.700,-6.886,-8
seresnext26t_32x4d,65.790,34.210,85.730,14.270,16.81,224,0.875,bicubic,-12.040,-7.998,-6 wide_resnet101_2,66.730,33.270,87.030,12.970,126.89,224,0.875,bilinear,-12.126,-7.252,-25
res2next50,65.780,34.220,85.730,14.270,24.67,224,0.875,bilinear,-12.300,-8.222,-16 adv_inception_v3,66.650,33.350,86.540,13.460,23.83,299,0.875,bicubic,-10.932,-7.196,+22
tv_resnext50_32x4d,65.780,34.220,85.940,14.060,25.03,224,0.875,bilinear,-11.848,-7.740,-4 dla60_res2next,66.640,33.360,87.030,12.970,17.03,224,0.875,bilinear,-11.800,-7.122,-10
resnet34d,65.720,34.280,86.520,13.480,21.82,224,0.875,bicubic,-11.376,-6.904,+12 gluon_resnet50_v1c,66.560,33.440,86.180,13.820,25.58,224,0.875,bicubic,-11.452,-7.808,+5
vit_small_patch16_224,65.690,34.310,86.070,13.930,48.75,224,0.900,bicubic,-12.182,-7.322,-11 dla102,66.540,33.460,86.910,13.090,33.27,224,0.875,bilinear,-11.492,-7.036,+3
tv_resnet101,65.680,34.320,86.120,13.880,44.55,224,0.875,bilinear,-11.634,-7.436,+5 tf_inception_v3,66.410,33.590,86.660,13.340,23.83,299,0.875,bicubic,-11.448,-6.756,+11
densenet161,65.660,34.340,86.480,13.520,28.68,224,0.875,bicubic,-11.678,-7.208,+1 hardcorenas_f,66.370,33.630,86.200,13.800,8.20,224,0.875,bilinear,-11.734,-7.602,-1
repvgg_b1g4,65.560,34.440,86.020,13.980,39.97,224,0.875,bilinear,-11.980,-7.774,-5 efficientnet_b0,66.290,33.710,85.960,14.040,5.29,224,0.875,bicubic,-11.408,-7.572,+11
tf_efficientnet_lite2,65.410,34.590,85.950,14.050,6.09,260,0.890,bicubic,-12.030,-7.812,-3 legacy_seresnet50,66.250,33.750,86.330,13.670,28.09,224,0.875,bilinear,-11.380,-7.418,+11
selecsls42b,65.390,34.610,85.830,14.170,32.46,224,0.875,bicubic,-11.706,-7.562,+5 selecsls60,66.210,33.790,86.340,13.660,30.67,224,0.875,bicubic,-11.772,-7.488,+1
seresnext26d_32x4d,65.370,34.630,85.930,14.070,16.81,224,0.875,bicubic,-12.148,-7.676,-6 tf_efficientnet_em,66.180,33.820,86.360,13.640,6.90,240,0.882,bicubic,-11.950,-7.684,-6
densenet201,65.360,34.640,85.620,14.380,20.01,224,0.875,bicubic,-11.960,-7.862,-2 tv_resnext50_32x4d,66.180,33.820,86.040,13.960,25.03,224,0.875,bilinear,-11.440,-7.656,+9
densenetblur121d,65.250,34.750,85.820,14.180,8.00,224,0.875,bicubic,-11.224,-7.276,+18 tf_efficientnet_cc_b0_8e,66.170,33.830,86.240,13.760,24.01,224,0.875,bicubic,-11.738,-7.414,0
res2net50_48w_2s,65.250,34.750,85.900,14.100,25.29,224,0.875,bilinear,-12.268,-7.682,-10 inception_v3,66.160,33.840,86.320,13.680,23.83,299,0.875,bicubic,-11.278,-7.156,+14
gernet_s,65.200,34.800,85.430,14.570,8.17,224,0.875,bilinear,-11.674,-7.698,+7 res2net50_26w_4s,66.140,33.860,86.600,13.400,25.70,224,0.875,bilinear,-11.824,-7.254,-3
dla60,65.180,34.820,85.580,14.420,22.04,224,0.875,bilinear,-11.744,-7.710,+3 efficientnet_b1_pruned,66.090,33.910,86.570,13.430,6.33,240,0.882,bicubic,-12.146,-7.264,-16
ese_vovnet19b_dw,65.120,34.880,85.150,14.850,6.54,224,0.875,bicubic,-11.652,-8.126,+8 gluon_resnet50_v1b,66.070,33.930,86.260,13.740,25.56,224,0.875,bicubic,-11.510,-7.456,+8
tf_efficientnet_b0_ap,65.090,34.910,85.470,14.530,5.29,224,0.875,bicubic,-11.982,-7.792,-1 rexnet_100,66.070,33.930,86.490,13.510,4.80,224,0.875,bicubic,-11.788,-7.148,-2
mobilenetv2_120d,64.970,35.030,85.820,14.180,5.83,224,0.875,bicubic,-12.358,-7.658,-10 regnety_016,66.060,33.940,86.380,13.620,11.20,224,0.875,bicubic,-11.802,-7.340,-5
hrnet_w18,64.920,35.080,85.710,14.290,21.30,224,0.875,bilinear,-11.912,-7.694,+3 res2net50_14w_8s,66.020,33.980,86.250,13.750,25.06,224,0.875,bilinear,-12.130,-7.598,-16
tf_efficientnet_cc_b0_4e,64.910,35.090,85.040,14.960,13.31,224,0.875,bicubic,-12.386,-8.320,-9 seresnext26t_32x4d,65.880,34.120,85.680,14.320,16.81,224,0.875,bicubic,-12.106,-8.066,-11
legacy_seresnext26_32x4d,64.770,35.230,85.560,14.440,16.79,224,0.875,bicubic,-12.346,-7.798,-8 repvgg_b1g4,65.850,34.150,86.120,13.880,39.97,224,0.875,bilinear,-11.744,-7.706,+1
mixnet_m,64.700,35.300,85.460,14.540,5.01,224,0.875,bicubic,-12.476,-7.966,-10 res2next50,65.850,34.150,85.840,14.160,24.67,224,0.875,bilinear,-12.396,-8.052,-24
resnet26d,64.660,35.340,85.140,14.860,16.01,224,0.875,bicubic,-11.940,-8.048,+3 densenet161,65.840,34.160,86.450,13.550,28.68,224,0.875,bicubic,-11.518,-7.188,+7
tf_mixnet_m,64.510,35.490,85.030,14.970,5.01,224,0.875,bicubic,-12.454,-8.182,-7 hardcorenas_e,65.840,34.160,85.980,14.020,8.07,224,0.875,bilinear,-11.954,-7.714,-7
tf_efficientnet_lite1,64.490,35.510,85.610,14.390,5.42,240,0.882,bicubic,-12.138,-7.638,0 resnet34d,65.780,34.220,86.710,13.290,21.82,224,0.875,bicubic,-11.336,-6.672,+11
densenet169,64.350,35.650,85.160,14.840,14.15,224,0.875,bicubic,-11.600,-7.834,+9 skresnet34,65.750,34.250,85.960,14.040,22.28,224,0.875,bicubic,-11.162,-7.362,+18
regnetx_016,64.330,35.670,85.480,14.520,9.19,224,0.875,bicubic,-12.584,-7.892,-8 vit_small_patch16_224,65.740,34.260,86.120,13.880,48.75,224,0.900,bicubic,-12.118,-7.750,-13
repvgg_a2,64.260,35.740,85.240,14.760,28.21,224,0.875,bilinear,-12.228,-7.782,+1 tv_resnet101,65.690,34.310,85.980,14.020,44.55,224,0.875,bilinear,-11.684,-7.560,+1
tf_efficientnet_b0,64.200,35.800,85.200,14.800,5.29,224,0.875,bicubic,-12.630,-8.072,-6 hardcorenas_d,65.630,34.370,85.460,14.540,7.50,224,0.875,bilinear,-11.802,-8.024,-1
dpn68,63.870,36.130,85.080,14.920,12.61,224,0.875,bicubic,-12.508,-7.898,+1 selecsls42b,65.610,34.390,85.810,14.190,32.46,224,0.875,bicubic,-11.564,-7.580,+5
mobilenetv2_140,63.850,36.150,84.840,15.160,6.11,224,0.875,bicubic,-12.688,-8.104,-3 tf_efficientnet_b0_ap,65.490,34.510,85.580,14.420,5.29,224,0.875,bicubic,-11.596,-7.676,+7
tf_efficientnet_es,63.830,36.170,84.600,15.400,5.44,224,0.875,bicubic,-12.732,-8.584,-5 seresnext26d_32x4d,65.410,34.590,85.970,14.030,16.81,224,0.875,bicubic,-12.192,-7.638,-11
regnety_008,63.780,36.220,85.320,14.680,6.26,224,0.875,bicubic,-12.544,-7.780,-1 tf_efficientnet_lite2,65.380,34.620,85.990,14.010,6.09,260,0.890,bicubic,-12.088,-7.764,-7
mixnet_s,63.690,36.310,84.640,15.360,4.13,224,0.875,bicubic,-12.372,-8.186,-1 res2net50_48w_2s,65.350,34.650,85.960,14.040,25.29,224,0.875,bilinear,-12.172,-7.594,-9
densenet121,63.600,36.400,84.570,15.430,7.98,224,0.875,bicubic,-11.930,-8.046,+5 densenet201,65.290,34.710,85.690,14.310,20.01,224,0.875,bicubic,-11.996,-7.788,-3
resnet26,63.470,36.530,84.280,15.720,16.00,224,0.875,bicubic,-11.924,-8.304,+8 densenetblur121d,65.280,34.720,85.710,14.290,8.00,224,0.875,bicubic,-11.308,-7.482,+15
tf_mixnet_s,63.450,36.550,84.240,15.760,4.13,224,0.875,bicubic,-12.208,-8.378,0 dla60,65.200,34.800,85.760,14.240,22.04,224,0.875,bilinear,-11.832,-7.558,+3
mobilenetv3_large_100,63.320,36.680,84.090,15.910,5.48,224,0.875,bicubic,-12.390,-8.406,-2 ese_vovnet19b_dw,65.190,34.810,85.470,14.530,6.54,224,0.875,bicubic,-11.608,-7.798,+8
resnest14d,63.290,36.710,84.110,15.890,10.61,224,0.875,bilinear,-12.298,-8.378,-1 tf_efficientnet_cc_b0_4e,65.150,34.850,85.160,14.840,13.31,224,0.875,bicubic,-12.156,-8.174,-8
tv_resnet50,63.280,36.720,84.660,15.340,25.56,224,0.875,bilinear,-12.732,-8.274,-6 gernet_s,65.120,34.880,85.510,14.490,8.17,224,0.875,bilinear,-11.796,-7.622,+3
mobilenetv3_rw,63.090,36.910,84.400,15.600,5.48,224,0.875,bicubic,-12.452,-8.276,-2 legacy_seresnext26_32x4d,65.050,34.950,85.660,14.340,16.79,224,0.875,bicubic,-12.054,-7.656,-4
efficientnet_lite0,63.060,36.940,84.450,15.550,4.65,224,0.875,bicubic,-12.384,-8.094,0 mobilenetv2_120d,65.030,34.970,85.960,14.040,5.83,224,0.875,bicubic,-12.254,-7.532,-9
regnety_006,63.060,36.940,84.100,15.900,6.06,224,0.875,bicubic,-12.146,-8.460,+3 hrnet_w18,64.920,35.080,85.740,14.260,21.30,224,0.875,bilinear,-11.838,-7.704,+4
semnasnet_100,63.060,36.940,84.300,15.700,3.89,224,0.875,bicubic,-12.366,-8.248,-1 hardcorenas_c,64.860,35.140,85.250,14.750,5.52,224,0.875,bilinear,-12.194,-7.908,-5
resnet34,62.890,37.110,84.110,15.890,21.80,224,0.875,bilinear,-12.206,-8.136,+3 densenet169,64.760,35.240,85.240,14.760,14.15,224,0.875,bicubic,-11.146,-7.786,+15
legacy_seresnet34,62.800,37.200,84.120,15.880,21.96,224,0.875,bilinear,-12.112,-8.044,+6 mixnet_m,64.700,35.300,85.450,14.550,5.01,224,0.875,bicubic,-12.560,-7.974,-12
hrnet_w18_small_v2,62.770,37.230,83.950,16.050,15.60,224,0.875,bilinear,-12.394,-8.480,0 resnet26d,64.680,35.320,85.120,14.880,16.01,224,0.875,bicubic,-12.016,-8.030,+1
vit_deit_tiny_distilled_patch16_224,62.770,37.230,83.830,16.170,5.91,224,0.900,bicubic,-11.724,-8.054,+10 repvgg_a2,64.450,35.550,85.130,14.870,28.21,224,0.875,bilinear,-12.010,-7.874,+6
regnetx_008,62.760,37.240,83.970,16.030,7.26,224,0.875,bicubic,-12.266,-8.362,+2 hardcorenas_b,64.420,35.580,84.870,15.130,5.18,224,0.875,bilinear,-12.118,-7.884,+3
repvgg_b0,62.670,37.330,83.880,16.120,15.82,224,0.875,bilinear,-12.544,-8.574,-5 regnetx_016,64.380,35.620,85.470,14.530,9.19,224,0.875,bicubic,-12.570,-7.950,-9
mobilenetv2_110d,62.650,37.350,84.500,15.500,4.52,224,0.875,bicubic,-12.398,-7.632,-1 tf_efficientnet_lite1,64.380,35.620,85.470,14.530,5.42,240,0.882,bicubic,-12.262,-7.756,-2
tv_densenet121,62.610,37.390,83.880,16.120,7.98,224,0.875,bicubic,-12.136,-8.250,+2 tf_efficientnet_b0,64.310,35.690,85.280,14.720,5.29,224,0.875,bicubic,-12.538,-7.948,-7
dla34,62.580,37.420,83.880,16.120,15.74,224,0.875,bilinear,-12.056,-8.242,+3 tf_mixnet_m,64.270,35.730,85.090,14.910,5.01,224,0.875,bicubic,-12.672,-8.062,-11
swsl_resnet18,62.560,37.440,84.420,15.580,11.69,224,0.875,bilinear,-10.758,-7.332,+11 dpn68,64.230,35.770,85.180,14.820,12.61,224,0.875,bicubic,-12.088,-7.798,+1
gluon_resnet34_v1b,62.460,37.540,83.880,16.120,21.80,224,0.875,bicubic,-12.036,-8.128,+2 tf_efficientnet_es,64.230,35.770,84.740,15.260,5.44,224,0.875,bicubic,-12.364,-8.462,-5
tf_mobilenetv3_large_100,62.400,37.600,83.900,16.100,5.48,224,0.875,bilinear,-13.120,-8.650,-15 regnety_008,64.160,35.840,85.270,14.730,6.26,224,0.875,bicubic,-12.156,-7.796,0
tf_efficientnet_lite0,62.330,37.670,84.100,15.900,4.65,224,0.875,bicubic,-12.538,-8.030,-4 mobilenetv2_140,64.060,35.940,85.040,14.960,6.11,224,0.875,bicubic,-12.456,-7.956,-4
fbnetc_100,62.160,37.840,83.400,16.600,5.57,224,0.875,bilinear,-12.922,-8.954,-9 densenet121,63.750,36.250,84.590,15.410,7.98,224,0.875,bicubic,-11.828,-8.062,+6
regnety_004,62.070,37.930,83.490,16.510,4.34,224,0.875,bicubic,-11.872,-8.264,+3 hardcorenas_a,63.710,36.290,84.400,15.600,5.26,224,0.875,bilinear,-12.206,-8.114,0
vgg19_bn,61.870,38.130,83.400,16.600,143.68,224,0.875,bilinear,-12.346,-8.448,-1 resnest14d,63.590,36.410,84.250,15.750,10.61,224,0.875,bilinear,-11.914,-8.268,+6
mnasnet_100,61.790,38.210,83.780,16.220,4.38,224,0.875,bicubic,-12.902,-8.360,-6 tf_mixnet_s,63.560,36.440,84.270,15.730,4.13,224,0.875,bicubic,-12.090,-8.358,+1
ssl_resnet18,61.400,38.600,83.310,16.690,11.69,224,0.875,bilinear,-11.092,-8.132,+8 resnet26,63.470,36.530,84.260,15.740,16.00,224,0.875,bicubic,-11.822,-8.310,+7
regnetx_006,61.280,38.720,83.120,16.880,6.20,224,0.875,bicubic,-12.682,-8.564,-2 mixnet_s,63.390,36.610,84.740,15.260,4.13,224,0.875,bicubic,-12.602,-8.056,-5
spnasnet_100,61.200,38.800,82.740,17.260,4.42,224,0.875,bilinear,-12.920,-9.142,-4 mobilenetv3_large_100,63.360,36.640,84.090,15.910,5.48,224,0.875,bicubic,-12.406,-8.452,-3
tv_resnet34,61.010,38.990,82.640,17.360,21.80,224,0.875,bilinear,-12.256,-8.790,+1 efficientnet_es_pruned,63.330,36.670,84.950,15.050,5.44,224,0.875,bicubic,-11.670,-7.498,+12
skresnet18,60.850,39.150,82.840,17.160,11.96,224,0.875,bicubic,-12.150,-8.316,+1 tv_resnet50,63.330,36.670,84.640,15.360,25.56,224,0.875,bilinear,-12.808,-8.224,-9
vgg16_bn,60.690,39.310,83.060,16.940,138.37,224,0.875,bilinear,-12.786,-8.476,-4 efficientnet_lite0,63.240,36.760,84.440,15.560,4.65,224,0.875,bicubic,-12.244,-8.070,0
tf_mobilenetv3_large_075,60.370,39.630,81.710,18.290,3.99,224,0.875,bilinear,-13.002,-9.694,-4 mobilenetv3_rw,63.220,36.780,84.510,15.490,5.48,224,0.875,bicubic,-12.414,-8.198,-5
mobilenetv2_100,60.160,39.840,82.140,17.860,3.50,224,0.875,bicubic,-12.796,-8.902,-1 pit_ti_distilled_224,63.150,36.850,83.960,16.040,5.10,224,0.900,bicubic,-11.380,-8.136,+15
resnet18d,59.830,40.170,82.380,17.620,11.71,224,0.875,bicubic,-12.550,-8.330,+1 semnasnet_100,63.150,36.850,84.520,15.480,3.89,224,0.875,bicubic,-12.298,-8.084,-2
legacy_seresnet18,59.700,40.300,81.630,18.370,11.78,224,0.875,bicubic,-12.052,-8.678,+5 regnety_006,63.110,36.890,84.250,15.750,6.06,224,0.875,bicubic,-12.136,-8.282,-1
vit_deit_tiny_patch16_224,59.700,40.300,82.730,17.270,5.72,224,0.900,bicubic,-12.496,-8.362,+3 tv_densenet121,62.940,37.060,84.250,15.750,7.98,224,0.875,bicubic,-11.798,-7.900,+8
vgg19,59.570,40.430,81.360,18.640,143.67,224,0.875,bilinear,-12.790,-9.490,-1 resnet34,62.870,37.130,84.140,15.860,21.80,224,0.875,bilinear,-12.240,-8.144,+1
regnetx_004,59.540,40.460,81.730,18.270,5.16,224,0.875,bicubic,-12.996,-9.112,-5 legacy_seresnet34,62.850,37.150,84.210,15.790,21.96,224,0.875,bilinear,-11.958,-7.914,+5
vgg13_bn,59.080,40.920,81.080,18.920,133.05,224,0.875,bilinear,-12.538,-9.280,+3 mobilenetv2_110d,62.830,37.170,84.500,15.500,4.52,224,0.875,bicubic,-12.206,-7.686,+1
hrnet_w18_small,58.980,41.020,81.260,18.740,13.19,224,0.875,bilinear,-13.296,-9.326,-3 vit_deit_tiny_distilled_patch16_224,62.810,37.190,83.930,16.070,5.91,224,0.900,bicubic,-11.700,-7.960,+9
tf_mobilenetv3_large_minimal_100,58.980,41.020,80.980,19.020,3.92,224,0.875,bilinear,-13.248,-9.702,-3 hrnet_w18_small_v2,62.800,37.200,83.980,16.020,15.60,224,0.875,bilinear,-12.314,-8.436,-4
vgg16,58.550,41.450,81.580,18.420,138.36,224,0.875,bilinear,-13.078,-8.788,-1 swsl_resnet18,62.760,37.240,84.300,15.700,11.69,224,0.875,bilinear,-10.516,-7.434,+15
gluon_resnet18_v1b,58.210,41.790,81.080,18.920,11.69,224,0.875,bicubic,-12.712,-8.690,0 repvgg_b0,62.720,37.280,83.860,16.140,15.82,224,0.875,bilinear,-12.432,-8.558,-8
resnet18,57.100,42.900,80.100,19.900,11.69,224,0.875,bilinear,-12.544,-8.882,+3 gluon_resnet34_v1b,62.570,37.430,83.990,16.010,21.80,224,0.875,bicubic,-12.018,-8.000,+3
vgg13,57.100,42.900,79.600,20.400,133.05,224,0.875,bilinear,-12.884,-9.706,+1 tf_efficientnet_lite0,62.550,37.450,84.220,15.780,4.65,224,0.875,bicubic,-12.280,-7.956,-3
vgg11_bn,57.050,42.950,79.830,20.170,132.87,224,0.875,bilinear,-13.358,-9.894,-2 regnetx_008,62.490,37.510,84.020,15.980,7.26,224,0.875,bicubic,-12.548,-8.316,-7
regnety_002,56.910,43.090,79.870,20.130,3.16,224,0.875,bicubic,-13.416,-9.686,-2 dla34,62.480,37.520,83.910,16.090,15.74,224,0.875,bilinear,-12.150,-8.168,-1
dla60x_c,56.170,43.830,78.880,21.120,1.32,224,0.875,bilinear,-11.782,-9.558,+2 tf_mobilenetv3_large_100,62.460,37.540,83.970,16.030,5.48,224,0.875,bilinear,-13.058,-8.636,-19
regnetx_002,55.900,44.100,79.140,20.860,2.68,224,0.875,bicubic,-12.930,-9.370,0 fbnetc_100,62.440,37.560,83.380,16.620,5.57,224,0.875,bilinear,-12.684,-9.006,-13
vgg11,55.800,44.200,78.650,21.350,132.86,224,0.875,bilinear,-13.072,-10.008,-2 mnasnet_100,61.900,38.100,83.710,16.290,4.38,224,0.875,bicubic,-12.758,-8.404,-5
tf_mobilenetv3_small_100,54.360,45.640,77.000,23.000,2.54,224,0.875,bilinear,-13.516,-10.682,0 regnety_004,61.870,38.130,83.430,16.570,4.34,224,0.875,bicubic,-12.164,-8.322,+1
dla46x_c,53.030,46.970,76.730,23.270,1.07,224,0.875,bilinear,-12.900,-10.274,0 vgg19_bn,61.860,38.140,83.450,16.550,143.68,224,0.875,bilinear,-12.354,-8.392,-2
tf_mobilenetv3_small_075,52.220,47.780,75.460,24.540,2.04,224,0.875,bilinear,-13.512,-10.708,0 ssl_resnet18,61.480,38.520,83.300,16.700,11.69,224,0.875,bilinear,-11.130,-8.116,+8
dla46_c,51.980,48.020,75.560,24.440,1.30,224,0.875,bilinear,-12.950,-10.748,0 regnetx_006,61.350,38.650,83.450,16.550,6.20,224,0.875,bicubic,-12.502,-8.222,-1
tf_mobilenetv3_small_minimal_100,49.370,50.630,72.840,27.160,2.04,224,0.875,bilinear,-13.374,-11.540,0 spnasnet_100,61.220,38.780,82.790,17.210,4.42,224,0.875,bilinear,-12.864,-9.028,-4
tv_resnet34,61.190,38.810,82.710,17.290,21.80,224,0.875,bilinear,-12.122,-8.716,0
pit_ti_224,60.980,39.020,83.860,16.140,4.85,224,0.900,bicubic,-11.932,-7.542,+3
skresnet18,60.860,39.140,82.880,17.120,11.96,224,0.875,bicubic,-12.178,-8.288,0
vgg16_bn,60.760,39.240,82.950,17.050,138.37,224,0.875,bilinear,-12.590,-8.556,-4
tf_mobilenetv3_large_075,60.400,39.600,81.950,18.050,3.99,224,0.875,bilinear,-13.038,-9.400,-6
mobilenetv2_100,60.190,39.810,82.240,17.760,3.50,224,0.875,bicubic,-12.780,-8.776,-2
resnet18d,60.160,39.840,82.300,17.700,11.71,224,0.875,bicubic,-12.100,-8.396,+3
vit_deit_tiny_patch16_224,59.830,40.170,82.670,17.330,5.72,224,0.900,bicubic,-12.338,-8.448,+4
legacy_seresnet18,59.800,40.200,81.690,18.310,11.78,224,0.875,bicubic,-11.942,-8.644,+4
vgg19,59.710,40.290,81.450,18.550,143.67,224,0.875,bilinear,-12.658,-9.422,-2
regnetx_004,59.410,40.590,81.690,18.310,5.16,224,0.875,bicubic,-12.986,-9.140,-4
tf_mobilenetv3_large_minimal_100,59.070,40.930,81.150,18.850,3.92,224,0.875,bilinear,-13.178,-9.480,-1
vgg13_bn,59.000,41.000,81.070,18.930,133.05,224,0.875,bilinear,-12.594,-9.306,+1
hrnet_w18_small,58.950,41.050,81.340,18.660,13.19,224,0.875,bilinear,-13.394,-9.338,-5
vgg16,58.830,41.170,81.660,18.340,138.36,224,0.875,bilinear,-12.764,-8.722,0
gluon_resnet18_v1b,58.340,41.660,80.970,19.030,11.69,224,0.875,bicubic,-12.496,-8.792,0
vgg11_bn,57.410,42.590,80.020,19.980,132.87,224,0.875,bilinear,-12.950,-9.782,0
resnet18,57.170,42.830,80.200,19.800,11.69,224,0.875,bilinear,-12.578,-8.878,+2
vgg13,57.150,42.850,79.540,20.460,133.05,224,0.875,bilinear,-12.776,-9.706,0
regnety_002,57.000,43.000,79.840,20.160,3.16,224,0.875,bicubic,-13.252,-9.700,-2
regnetx_002,56.050,43.950,79.210,20.790,2.68,224,0.875,bicubic,-12.712,-9.346,+1
dla60x_c,56.000,44.000,78.930,21.070,1.32,224,0.875,bilinear,-11.892,-9.496,+2
vgg11,55.800,44.200,78.830,21.170,132.86,224,0.875,bilinear,-13.224,-9.798,-2
tf_mobilenetv3_small_100,54.530,45.470,77.060,22.940,2.54,224,0.875,bilinear,-13.392,-10.604,-1
dla46x_c,53.050,46.950,76.870,23.130,1.07,224,0.875,bilinear,-12.920,-10.110,0
tf_mobilenetv3_small_075,52.160,47.840,75.470,24.530,2.04,224,0.875,bilinear,-13.556,-10.660,0
dla46_c,52.130,47.870,75.690,24.310,1.30,224,0.875,bilinear,-12.736,-10.602,0
tf_mobilenetv3_small_minimal_100,49.500,50.500,73.050,26.950,2.04,224,0.875,bilinear,-13.406,-11.180,0

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation top1_diff top5_diff rank_diff
2 tf_efficientnet_l2_ns_475 80.540 80.460 19.460 19.540 95.620 95.730 4.380 4.270 480.31 475 0.936 bicubic -7.690 -7.774 -2.926 -2.816 +1
3 tf_efficientnet_l2_ns 80.110 80.250 19.890 19.750 95.840 4.160 480.31 800 0.960 bicubic -8.226 -8.102 -2.824 -2.810 -1
4 tf_efficientnet_b7_ns 77.830 78.510 22.170 21.490 94.320 94.380 5.680 5.620 66.35 600 0.949 bicubic -9.000 -8.330 -3.772 -3.714 0 +1
5 tf_efficientnet_b6_ns 77.030 77.280 22.970 22.720 93.790 93.890 6.210 6.110 43.04 528 0.942 bicubic -9.432 -9.172 -4.088 -3.992 0 +1
6 ig_resnext101_32x32d swin_large_patch4_window12_384 76.800 77.040 23.200 22.960 93.230 93.750 6.770 6.250 468.53 196.74 224 384 0.875 1.000 bilinear bicubic -8.346 -10.108 -4.226 -4.484 +11 -2
7 tf_efficientnet_b5_ns ig_resnext101_32x48d 76.730 76.870 23.270 23.130 93.480 93.310 6.520 6.690 30.39 828.41 456 224 0.934 0.875 bicubic bilinear -9.342 -8.558 -4.268 -4.262 0 +7
8 ig_resnext101_32x48d ig_resnext101_32x32d 76.650 76.840 23.350 23.160 93.420 93.200 6.580 6.800 828.41 468.53 224 0.875 bilinear -8.852 -8.254 -4.128 -4.238 +3 +14
9 tf_efficientnet_b7_ap tf_efficientnet_b5_ns 75.970 76.810 24.030 23.190 92.900 93.580 7.100 6.420 66.35 30.39 600 456 0.949 0.934 bicubic -9.154 -9.278 -4.356 -4.172 +9 +1
10 tf_efficientnet_b8_ap swin_base_patch4_window12_384 75.950 76.280 24.050 23.720 92.670 93.320 7.330 6.680 87.41 87.90 672 384 0.954 1.000 bicubic -9.434 -10.152 -4.628 -4.738 +4 -3
11 dm_nfnet_f6 swin_large_patch4_window7_224 75.770 76.270 24.230 23.730 92.970 93.420 7.030 6.580 438.36 196.53 576 224 0.956 0.900 bicubic -10.536 -10.050 -4.772 -4.476 -5 -3
12 ig_resnext101_32x16d dm_nfnet_f6 75.690 76.180 24.310 23.820 92.910 93.220 7.090 6.780 194.03 438.36 224 576 0.875 0.956 bilinear bicubic -8.478 -10.116 -4.286 -4.524 +21 -3
13 tf_efficientnet_b4_ns tf_efficientnet_b7_ap 75.490 76.090 24.510 23.910 92.940 92.970 7.060 7.030 19.34 66.35 380 600 0.922 0.949 bicubic -9.704 -9.030 -4.560 -4.282 +2 +8
14 swsl_resnext101_32x8d tf_efficientnet_b8_ap 75.460 76.090 24.540 23.910 92.720 92.730 7.280 7.270 88.79 87.41 224 672 0.875 0.954 bilinear bicubic -8.872 -9.280 -4.434 -4.564 +16 +3
15 vit_base_resnet50_384 dm_nfnet_f4 75.430 75.750 24.570 24.250 92.700 92.790 7.300 7.210 98.95 316.07 384 512 1.000 0.951 bicubic -9.564 -9.908 -4.594 -4.720 +4 -3
16 vit_deit_base_distilled_patch16_384 ig_resnext101_32x16d 75.410 75.720 24.590 24.280 92.530 92.910 7.470 7.090 87.63 194.03 384 224 1.000 0.875 bicubic bilinear -10.012 -8.450 -4.804 -4.286 -4 +21
17 tf_efficientnet_b6_ap tf_efficientnet_b4_ns 75.370 75.670 24.630 24.330 92.290 93.050 7.710 6.950 43.04 19.34 528 380 0.942 0.922 bicubic -9.420 -9.492 -4.846 -4.420 +7 +2
18 dm_nfnet_f4 vit_base_r50_s16_384 75.230 75.590 24.770 24.410 92.640 92.790 7.360 7.210 316.07 98.95 512 384 0.951 1.000 bicubic -10.496 -9.382 -4.878 -4.498 -10 +7
19 dm_nfnet_f3 vit_deit_base_distilled_patch16_384 75.160 75.550 24.840 24.450 92.710 92.500 7.290 7.500 254.92 87.63 416 384 0.940 1.000 bicubic -10.422 -9.872 -4.680 -4.832 -9 -4
20 ecaresnet269d swsl_resnext101_32x8d 74.850 75.430 25.150 24.570 92.760 7.240 102.09 88.79 352 224 1.000 0.875 bicubic bilinear -10.076 -8.854 -4.476 -4.416 +2 +14
21 vit_large_patch16_384 dm_nfnet_f3 74.800 75.410 25.200 24.590 92.610 92.830 7.390 7.170 304.72 254.92 384 416 1.000 0.940 bicubic -10.370 -10.150 -4.734 -4.576 -5 -8
22 dm_nfnet_f5 tf_efficientnet_b6_ap 74.630 75.380 25.370 24.620 92.370 92.440 7.630 7.560 377.21 43.04 544 528 0.954 0.942 bicubic -11.090 -9.408 -5.066 -4.698 -13 +6
23 tf_efficientnet_b8 vit_large_patch16_384 74.530 75.150 25.470 24.850 92.200 92.660 7.800 7.340 87.41 304.72 672 384 0.954 1.000 bicubic -10.854 -10.008 -5.200 -4.696 -10 -3
24 tf_efficientnet_b7 ecaresnet269d 74.430 75.120 25.570 24.880 92.130 92.840 7.870 7.160 66.35 102.09 600 352 0.949 1.000 bicubic -10.506 -9.856 -5.078 -4.386 -3 0
25 dm_nfnet_f1 tf_efficientnet_b8 74.380 74.940 25.620 25.060 92.320 92.310 7.680 7.690 132.63 87.41 320 672 0.910 0.954 bicubic -10.214 -10.430 -4.760 -5.080 0 -9
26 tf_efficientnet_b5_ap dm_nfnet_f5 74.380 74.790 25.620 25.210 91.940 92.460 8.060 7.540 30.39 377.21 456 544 0.934 0.954 bicubic -9.880 -10.924 -5.034 -4.982 +5 -15
27 dm_nfnet_f2 tf_efficientnet_b7 74.340 74.720 25.660 25.280 92.060 92.220 7.940 7.780 193.78 66.35 352 600 0.920 0.949 bicubic -10.628 -10.216 -5.064 -4.984 -7 -1
28 resnest200e tf_efficientnet_b5_ap 74.260 74.600 25.740 25.400 91.860 91.990 8.140 8.010 70.20 30.39 320 456 0.909 0.934 bicubic -9.580 -9.652 -4.998 -4.984 +9 +7
29 seresnet152d swin_base_patch4_window7_224 74.190 74.570 25.810 25.430 91.960 92.560 8.040 7.440 66.84 87.77 320 224 1.000 0.900 bicubic -10.160 -10.682 -5.082 -5.002 0 -11
30 swsl_resnext101_32x4d seresnet152d 74.060 74.510 25.940 25.490 92.010 92.080 7.990 7.920 44.18 66.84 224 320 0.875 1.000 bilinear bicubic -9.192 -9.852 -4.758 -4.960 +14 +3
31 resnest269e resnest200e 73.990 74.480 26.010 25.520 91.980 91.860 8.020 8.140 110.93 70.20 416 320 0.928 0.909 bicubic -10.528 -9.352 -5.022 -5.034 -5 +12
32 tf_efficientnet_b6 dm_nfnet_f2 73.950 74.450 26.050 25.550 91.730 92.230 8.270 7.770 43.04 193.78 528 352 0.942 0.920 bicubic -10.172 -10.540 -5.160 -4.914 +2 -9
33 tf_efficientnet_b3_ns dm_nfnet_f1 73.760 74.400 26.240 25.600 91.810 92.350 8.190 7.650 12.23 132.63 300 320 0.904 0.910 bicubic -10.252 -10.204 -5.100 -4.718 +2 -4
34 ig_resnext101_32x8d resnest269e 73.720 74.170 26.280 25.830 92.100 91.950 7.900 8.050 88.79 110.93 224 416 0.875 0.928 bilinear bicubic -8.940 -10.348 -4.584 -5.036 +19 -4
35 swsl_resnext101_32x16d pit_b_distilled_224 73.700 74.160 26.300 25.840 92.120 91.680 7.880 8.320 194.03 74.79 224 0.875 0.900 bilinear bicubic -9.764 -9.984 -4.746 -5.176 +6 +3
36 vit_base_patch16_384 swsl_resnext101_32x4d 73.620 74.140 26.380 25.860 92.100 91.990 7.900 8.010 86.86 44.18 384 224 1.000 0.875 bicubic bilinear -10.592 -9.090 -5.116 -4.770 -4 +16
37 resnet200d vit_base_patch16_384 73.450 74.130 26.550 25.870 91.490 92.360 8.510 7.640 64.69 86.86 320 384 1.000 bicubic -10.550 -10.080 -5.334 -4.858 -1
38 tf_efficientnet_b5 eca_nfnet_l1 73.250 74.060 26.750 25.940 91.350 92.120 8.650 7.880 30.39 41.41 456 320 0.934 1.000 bicubic -10.570 -9.948 -5.410 -4.908 0 +3
39 resnet152d swsl_resnext101_32x16d 73.240 74.020 26.760 25.980 91.190 92.160 8.810 7.840 60.21 194.03 320 224 1.000 0.875 bicubic bilinear -10.424 -9.326 -5.536 -4.686 +1 +10
40 resnetv2_152x4_bitm 73.160 74.000 26.840 26.000 91.810 92.340 8.190 7.660 936.53 480 1.000 bilinear -11.756 -10.932 -5.634 -5.096 -17 -13
41 vit_deit_base_distilled_patch16_224 tf_efficientnet_b6 73.020 73.900 26.980 26.100 90.930 91.750 9.070 8.250 87.34 43.04 224 528 0.900 0.942 bicubic -10.352 -10.210 -5.574 -5.136 +1 -2
42 resnetv2_152x2_bitm tf_efficientnet_b3_ns 72.840 73.890 27.160 26.110 92.040 91.870 7.960 8.130 236.34 12.23 480 300 1.000 0.904 bilinear bicubic -11.588 -10.158 -5.412 -5.040 -15 -2
43 tf_efficientnet_b4_ap resnet200d 72.770 73.680 27.230 26.320 91.000 91.570 9.000 8.430 19.34 64.69 380 320 0.922 1.000 bicubic -10.454 -10.282 -5.366 -5.254 +2 -1
44 dm_nfnet_f0 ig_resnext101_32x8d 72.590 73.650 27.410 26.350 91.010 92.190 8.990 7.810 71.49 88.79 256 224 0.900 0.875 bicubic bilinear -10.780 -9.038 -5.548 -4.446 -1 +19
45 pnasnet5large resnetv2_152x2_bitm 72.550 73.630 27.450 26.370 90.510 92.590 9.490 7.410 86.06 236.34 331 480 0.911 1.000 bicubic bilinear -10.236 -10.810 -5.566 -4.856 +7 -14
46 nasnetalarge tf_efficientnet_b5 72.470 73.550 27.530 26.450 90.500 91.460 9.500 8.540 88.75 30.39 331 456 0.911 0.934 bicubic -10.170 -10.262 -5.552 -5.288 +8 -2
47 resnetv2_101x3_bitm 72.460 73.530 27.540 26.470 91.820 92.570 8.180 7.430 387.93 480 1.000 bilinear -11.932 -10.864 -5.538 -4.792 -19 -15
48 vit_deit_base_patch16_384 resnet152d 72.430 73.520 27.570 26.480 90.200 91.230 9.800 8.770 86.86 60.21 384 320 1.000 bicubic -10.662 -10.160 -6.152 -5.508 -2 -1
49 swsl_resnext50_32x4d regnety_160 72.370 73.360 27.630 26.640 90.980 91.690 9.020 8.310 25.03 83.59 224 288 0.875 1.000 bilinear bicubic -9.816 -10.326 -5.284 -5.086 +11 -3
50 tf_efficientnet_b2_ns vit_deit_base_distilled_patch16_224 72.370 73.240 27.630 26.760 90.970 91.000 9.030 9.000 9.11 87.34 260 224 0.890 0.900 bicubic -9.996 -10.148 -5.290 -5.488 +5 -2
51 resnet101d tf_efficientnet_b4_ap 72.360 72.890 27.640 27.110 90.560 90.980 9.440 9.020 44.57 19.34 320 380 1.000 0.922 bicubic -10.640 -10.358 -5.900 -5.412 -2 0
52 resnest101e dm_nfnet_f0 72.350 72.790 27.650 27.210 90.690 91.040 9.310 8.960 48.28 71.49 256 0.875 0.900 bilinear bicubic -10.474 -10.552 -5.620 -5.520 -1 -2
53 tresnet_xl_448 regnety_032 72.160 72.770 27.840 27.230 90.110 90.950 9.890 9.050 78.44 19.44 448 288 0.875 1.000 bilinear bicubic -10.882 -9.954 -6.072 -5.474 -5 +9
54 tf_efficientnet_b4 pnasnet5large 72.150 72.610 27.850 27.390 90.510 9.490 19.34 86.06 380 331 0.922 0.911 bicubic -10.824 -10.172 -5.782 -5.530 -4 +5
55 vit_large_patch16_224 nfnet_l0 71.780 72.610 28.220 27.390 90.840 91.010 9.160 8.990 304.33 35.07 224 288 0.900 1.000 bicubic -11.280 -10.150 -5.584 -5.488 -8 +7
56 swsl_resnet50 resnest101e 71.610 72.570 28.390 27.430 90.590 90.820 9.410 9.180 25.56 48.28 224 256 0.875 bilinear -9.514 -10.320 -5.398 -5.500 +29 +3
57 efficientnet_b3 swsl_resnext50_32x4d 71.540 72.560 28.460 27.440 90.110 90.870 9.890 9.130 12.23 25.03 300 224 0.904 0.875 bicubic bilinear -10.492 -9.622 -5.926 -5.360 +6 +15
58 efficientnet_b3a tresnet_xl_448 71.520 72.550 28.480 27.450 89.990 90.310 10.010 9.690 12.23 78.44 320 448 1.000 0.875 bicubic bilinear -10.712 -10.500 -6.136 -5.864 0 -2
59 tresnet_l_448 vit_deit_base_patch16_384 71.470 72.530 28.530 27.470 89.940 90.250 10.060 9.750 55.99 86.86 448 384 0.875 1.000 bilinear bicubic -10.820 -10.576 -6.038 -6.122 -2 -5
60 resnetv2_50x3_bitm resnet101d 71.460 72.410 28.540 27.590 91.380 90.650 8.620 9.350 217.32 44.57 480 320 1.000 bilinear bicubic -12.340 -10.612 -5.730 -5.796 -21 -3
61 ssl_resnext101_32x8d tf_efficientnet_b4 71.410 72.290 28.590 27.710 90.400 90.590 9.600 9.410 88.79 19.34 224 380 0.875 0.922 bilinear bicubic -10.190 -10.732 -5.622 -5.710 +12 -3
62 tresnet_xl tf_efficientnet_b2_ns 71.370 72.280 28.630 27.720 89.490 91.090 10.510 8.910 78.44 9.11 224 260 0.875 0.890 bilinear bicubic -10.796 -10.100 -6.444 -5.158 -1 +5
63 ecaresnet50t vit_large_patch16_224 71.200 72.250 28.800 27.750 90.390 90.990 9.610 9.010 25.57 304.33 320 224 0.950 0.900 bicubic -11.148 -10.812 -5.754 -5.448 -7 -8
64 ecaresnet101d nasnetalarge 71.160 72.230 28.840 27.770 90.230 90.470 9.770 9.530 44.57 88.75 224 331 0.875 0.911 bicubic -10.958 -10.390 -5.810 -5.576 -2 0
65 regnety_032 resnetv2_50x3_bitm 71.110 72.180 28.890 27.820 90.310 91.790 9.690 8.210 19.44 217.32 224 480 0.875 1.000 bicubic bilinear -10.906 -11.604 -5.622 -5.316 -1 -20
66 ssl_resnext101_32x16d eca_nfnet_l0 71.110 71.850 28.890 28.150 90.420 91.130 9.580 8.870 194.03 24.14 224 288 0.875 1.000 bilinear bicubic -10.736 -10.738 -5.712 -5.344 0 -1
67 vit_base_patch32_384 swin_small_patch4_window7_224 71.090 71.740 28.910 28.260 90.460 90.240 9.540 9.760 88.30 49.61 384 224 1.000 0.900 bicubic -10.574 -11.472 -5.668 -6.082 +4 -14
68 vit_deit_base_patch16_224 pit_b_224 71.030 71.700 28.970 28.300 89.180 89.250 10.820 10.750 86.57 73.76 224 0.900 bicubic -10.964 -10.746 -6.558 -6.460 -3 -2
69 vit_base_patch16_224 swsl_resnet50 70.990 71.700 29.010 28.300 90.410 90.500 9.590 9.500 86.57 25.56 224 0.900 0.875 bicubic bilinear -10.790 -9.466 -5.702 -5.472 -1 +31
70 tf_efficientnet_b3_ap tresnet_xl 70.930 71.660 29.070 28.340 89.220 89.630 10.780 10.370 12.23 78.44 300 224 0.904 0.875 bicubic bilinear -10.872 -10.394 -6.380 -6.306 -3 +6
71 vit_large_patch32_384 efficientnet_v2s 70.820 71.610 29.180 28.390 90.460 90.200 9.540 9.800 306.63 23.94 384 224 1.000 bicubic -10.686 -10.460 -5.648 -5.754 +4
72 rexnet_200 tresnet_l_448 70.770 71.600 29.230 28.400 89.690 90.050 10.310 9.950 16.37 55.99 224 448 0.875 bicubic bilinear -10.918 -10.668 -6.000 -5.926 -2 -3
73 tresnet_m_448 ssl_resnext101_32x8d 70.740 71.500 29.260 28.500 88.670 90.460 11.330 9.540 31.39 88.79 448 224 0.875 bilinear -10.952 -10.116 -6.890 -5.578 -4 +13
74 tf_efficientnet_b1_ns ecaresnet101d 70.700 71.490 29.300 28.510 89.880 90.330 10.120 9.670 7.79 44.57 240 224 0.882 0.875 bicubic -10.698 -10.682 -5.850 -5.716 +3 -1
75 resnest50d_4s2x40d efficientnet_b3a 70.670 71.480 29.330 28.520 89.430 90.060 10.570 9.940 30.42 12.23 224 320 0.875 1.000 bicubic -10.478 -10.762 -6.122 -6.054 +9 -5
76 wide_resnet50_2 efficientnet_b3 70.670 71.460 29.330 28.540 89.160 90.090 10.840 9.910 68.88 12.23 224 300 0.875 0.904 bicubic -10.636 -10.616 -6.428 -5.930 +4 -2
77 tresnet_l ssl_resnext101_32x16d 70.600 71.410 29.400 28.590 89.610 90.560 10.390 9.440 55.99 194.03 224 0.875 bilinear -10.890 -10.434 -5.974 -5.536 -1 +2
78 legacy_senet154 pit_s_distilled_224 70.500 71.380 29.500 28.620 88.910 89.780 11.090 10.220 115.09 24.04 224 0.875 0.900 bilinear bicubic -10.822 -10.616 -6.544 -6.018 +1 0
79 vit_deit_small_distilled_patch16_224 vit_base_patch16_224 70.480 71.330 29.520 28.670 89.460 90.460 10.540 9.540 22.44 86.57 224 0.900 bicubic -10.770 -10.456 -5.936 -5.662 +3 +2
80 tf_efficientnet_b3 ecaresnet50t 70.440 71.280 29.560 28.720 89.280 90.420 10.720 9.580 12.23 25.57 300 320 0.904 0.950 bicubic -11.186 -11.066 -6.426 -5.718 -8 -12
81 gluon_seresnext101_64x4d vit_base_patch32_384 70.420 71.180 29.580 28.820 89.350 90.630 10.650 9.370 88.23 88.30 224 384 0.875 1.000 bicubic -10.432 -10.472 -5.986 -5.498 +11 +2
82 ssl_resnext101_32x4d vit_deit_base_patch16_224 70.370 71.170 29.630 28.830 89.910 89.200 10.090 10.800 44.18 86.57 224 0.875 0.900 bilinear bicubic -10.654 -10.828 -5.838 -6.534 +4 -5
83 gluon_senet154 tresnet_m_448 70.360 70.990 29.640 29.010 88.890 88.680 11.110 11.320 115.09 31.39 224 448 0.875 bicubic bilinear -10.856 -10.724 -6.430 -6.892 0 -1
84 resnest50d_1s4x24d resnest50d_4s2x40d 70.360 70.950 29.640 29.050 89.210 89.710 10.790 10.290 25.68 30.42 224 0.875 bicubic -10.578 -10.158 -6.108 -5.848 +5 +17
85 gernet_l wide_resnet50_2 70.350 70.950 29.650 29.050 89.060 89.230 10.940 10.770 31.08 68.88 256 224 0.875 bilinear bicubic -10.994 -10.506 -6.480 -6.302 -7 +6
86 resnetv2_101x1_bitm tnt_s_patch16_224 70.340 70.930 29.660 29.070 90.640 89.600 9.360 10.400 44.54 23.76 480 224 1.000 0.900 bilinear bicubic -11.868 -10.588 -5.820 -6.148 -27 +2
87 resnest50d tf_efficientnet_b3_ap 70.300 70.920 29.700 29.080 88.670 89.430 11.330 10.570 27.48 12.23 224 300 0.875 0.904 bilinear bicubic -10.670 -10.902 -6.680 -6.194 +1 -7
88 seresnext50_32x4d tf_efficientnet_b1_ns 70.200 70.870 29.800 29.130 89.130 90.120 10.870 9.880 27.56 7.79 224 240 0.875 0.882 bicubic -11.070 -10.518 -6.526 -5.618 -7 +4
89 gluon_resnet152_v1s vit_large_patch32_384 70.180 70.860 29.820 29.140 88.820 90.570 11.180 9.430 60.32 306.63 224 384 0.875 1.000 bicubic -10.840 -10.646 -6.606 -5.522 -2 0
90 tf_efficientnet_lite4 rexnet_200 70.170 70.840 29.830 29.160 89.180 89.700 10.820 10.300 13.01 16.37 380 224 0.920 0.875 bilinear bicubic -11.346 -10.792 -6.444 -5.968 -16 -5
91 repvgg_b3 tresnet_l 69.980 70.840 30.020 29.160 88.730 89.630 11.270 10.370 123.09 55.99 224 0.875 bilinear -10.460 -10.650 -6.464 -5.994 +14 -1
92 inception_resnet_v2 resnetv2_101x1_bitm 69.920 70.710 30.080 29.290 88.680 90.800 11.320 9.200 55.84 44.54 299 480 0.897 1.000 bicubic bilinear -10.528 -11.502 -6.612 -5.672 +12 -21
93 regnety_320 tf_efficientnet_b3 69.910 70.640 30.090 29.360 88.780 89.440 11.220 10.560 145.05 12.23 224 300 0.875 0.904 bicubic -10.872 -10.996 -6.482 -6.278 +1 -9
94 ecaresnet101d_pruned gluon_senet154 69.810 70.600 30.190 29.400 89.420 88.920 10.580 11.080 24.88 115.09 224 0.875 bicubic -11.076 -10.634 -6.152 -6.428 -4 +4
95 gluon_seresnext101_32x4d ssl_resnext101_32x4d 69.810 70.530 30.190 29.470 88.930 89.760 11.070 10.240 48.96 44.18 224 0.875 bicubic bilinear -11.068 -10.394 -6.344 -5.968 -4 +11
96 gernet_m vit_deit_small_distilled_patch16_224 69.650 70.520 30.350 29.480 88.450 89.470 11.550 10.530 21.14 22.44 224 0.875 0.900 bilinear bicubic -11.080 -10.680 -6.762 -5.908 -1 +3
97 ecaresnet50d legacy_senet154 69.600 70.500 30.400 29.500 89.240 89.010 10.760 10.990 25.58 115.09 224 0.875 bicubic bilinear -11.014 -10.810 -6.074 -6.486 +2 -1
98 ssl_resnext50_32x4d tf_efficientnet_lite4 69.580 70.430 30.420 29.570 89.480 89.110 10.520 10.890 25.03 13.01 224 380 0.875 0.920 bilinear -10.752 -11.106 -5.902 -6.558 +13 -12
99 tresnet_m gluon_seresnext101_64x4d 69.570 70.430 30.430 29.570 87.900 89.350 12.100 10.650 31.39 88.23 224 0.875 bilinear bicubic -11.150 -10.464 -6.956 -5.958 -4 +10
100 repvgg_b3g4 resnest50d 69.570 70.410 30.430 29.590 88.570 88.760 11.430 11.240 83.83 27.48 224 0.875 bilinear -10.668 -10.564 -6.498 -6.618 +20 +5
101 gluon_resnet152_v1d resnest50d_1s4x24d 69.550 70.400 30.450 29.600 88.410 89.220 11.590 10.780 60.21 25.68 224 0.875 bicubic -10.930 -10.588 -6.852 -6.102 +1 +3
102 gluon_resnext101_64x4d seresnext50_32x4d 69.500 70.400 30.500 29.600 88.190 89.110 11.810 10.890 83.46 27.56 224 0.875 bicubic -11.136 -10.866 -6.800 -6.510 -4 -5
103 efficientnet_b3_pruned gernet_l 69.450 70.350 30.550 29.650 88.740 88.980 11.260 11.020 9.86 31.08 300 256 0.904 0.875 bicubic bilinear -11.370 -11.004 -6.484 -6.556 -10 -9
104 efficientnet_b2a gluon_resnet152_v1s 69.420 70.290 30.580 29.710 88.630 88.850 11.370 11.150 9.11 60.32 288 224 1.000 0.875 bicubic -11.188 -10.726 -6.668 -6.562 -4 -1
105 regnetx_320 repvgg_b3 69.400 70.250 30.600 29.750 88.150 88.730 11.850 11.270 107.81 123.09 224 0.875 bicubic bilinear -10.914 -10.242 -6.918 -6.530 +8 +14
106 ens_adv_inception_resnet_v2 ecaresnet101d_pruned 69.380 70.130 30.620 29.870 88.330 89.590 11.670 10.410 55.84 24.88 299 224 0.897 0.875 bicubic -10.550 -10.686 -6.620 -6.038 +24 +4
107 ecaresnetlight efficientnet_el 69.350 70.120 30.650 29.880 89.020 89.290 10.980 10.710 30.16 10.59 224 300 0.875 0.904 bicubic -11.110 -11.196 -6.182 -6.236 -4 -12
108 inception_v4 inception_resnet_v2 69.350 70.120 30.650 29.880 88.760 88.700 11.240 11.300 42.68 55.84 299 0.875 0.897 bicubic -10.804 -10.338 -6.202 -6.606 +14 +15
109 nf_resnet50 gluon_seresnext101_32x4d 69.350 70.010 30.650 29.990 88.710 88.900 11.290 11.100 25.56 48.96 288 224 0.940 0.875 bicubic -11.316 -10.894 -6.648 -6.394 -12 -2
110 xception71 regnety_320 69.310 70.000 30.690 30.000 88.130 88.890 11.870 11.110 42.34 145.05 299 224 0.903 0.875 bicubic -10.536 -10.812 -6.806 -6.354 +26 +1
111 rexnet_150 gluon_resnet152_v1d 69.140 69.960 30.860 30.040 88.910 88.490 11.090 11.510 9.73 60.21 224 0.875 bicubic -11.210 -10.514 -6.292 -6.716 -1 +10
112 mixnet_xl pit_s_224 69.090 69.890 30.910 30.110 88.330 88.930 11.670 11.070 11.90 23.46 224 0.875 0.900 bicubic -11.334 -11.204 -6.558 -6.402 -5 -10
113 resnet50d ecaresnet50d 69.060 69.840 30.940 30.160 88.260 89.400 11.740 10.600 25.58 224 0.875 bicubic -11.432 -10.752 -6.868 -5.920 -12 +4
114 regnety_120 ssl_resnext50_32x4d 69.040 69.710 30.960 30.290 88.210 89.440 11.790 10.560 51.82 25.03 224 0.875 bicubic bilinear -11.334 -10.608 -6.898 -5.966 -5 +14
115 legacy_seresnext101_32x4d gluon_resnext101_64x4d 69.020 69.680 30.980 30.320 88.150 88.270 11.850 11.730 48.96 83.46 224 0.875 bilinear bicubic -11.262 -10.924 -6.874 -6.718 +2 +1
116 seresnet50 tresnet_m 69.020 69.660 30.980 30.340 88.470 87.990 11.530 12.010 28.09 31.39 224 0.875 bicubic bilinear -11.272 -11.142 -6.578 -6.870 -1 -4
117 gluon_resnext101_32x4d efficientnet_b3_pruned 68.980 69.580 31.020 30.420 88.340 88.980 11.660 11.020 44.18 9.86 224 300 0.875 0.904 bicubic -11.238 -11.278 -6.568 -6.262 +3 -8
118 efficientnet_b2 nf_resnet50 68.880 69.580 31.120 30.420 88.640 88.730 11.360 11.270 9.11 25.56 260 288 0.875 0.940 bicubic -11.434 -11.114 -6.472 -6.626 -6 -4
119 gluon_resnet152_v1c gernet_m 68.870 69.530 31.130 30.470 87.890 88.690 12.110 11.310 60.21 21.14 224 0.875 bicubic bilinear -10.980 -11.202 -7.000 -6.494 +16 -6
120 gluon_xception65 repvgg_b3g4 68.810 69.520 31.190 30.480 88.000 88.450 12.000 11.550 39.92 83.83 299 224 0.903 0.875 bicubic bilinear -10.946 -10.692 -6.852 -6.660 +20 +15
121 tf_efficientnet_b2_ap efficientnet_el_pruned 68.800 69.520 31.200 30.480 88.260 88.930 11.740 11.070 9.11 10.59 260 300 0.890 0.904 bicubic -11.440 -10.780 -6.724 -6.288 -3 +11
122 repvgg_b2g4 ens_adv_inception_resnet_v2 68.780 69.520 31.220 30.480 88.220 88.510 11.780 11.490 61.76 55.84 224 299 0.875 0.897 bilinear bicubic -10.624 -10.462 -6.486 -6.426 +32 +25
123 cspresnext50 efficientnet_b2a 68.770 69.500 31.230 30.500 88.030 88.680 11.970 11.320 20.57 9.11 224 288 0.875 1.000 bilinear bicubic -11.236 -11.112 -6.902 -6.638 +5 -8
124 cspdarknet53 rexnet_150 68.760 69.470 31.240 30.530 88.440 88.980 11.560 11.020 27.64 9.73 256 224 0.887 0.875 bilinear bicubic -11.290 -10.840 -6.636 -6.186 +1 +5
125 resnext50d_32x4d swin_tiny_patch4_window7_224 68.760 69.450 31.240 30.550 88.250 89.020 11.750 10.980 25.05 28.29 224 0.875 0.900 bicubic -10.928 -11.928 -6.594 -6.520 +19 -32
126 hrnet_w64 regnetx_320 68.750 69.440 31.250 30.560 88.080 88.270 11.920 11.730 128.06 107.81 224 0.875 bilinear bicubic -10.738 -10.806 -6.558 -6.756 +26 +9
127 xception65 inception_v4 68.690 69.360 31.310 30.640 88.230 88.780 11.770 11.220 39.92 42.68 299 0.903 0.875 bicubic -10.902 -10.808 -6.428 -6.188 +20 +12
128 gluon_resnet152_v1b legacy_seresnext101_32x4d 68.670 69.360 31.330 30.640 87.630 88.070 12.370 11.930 60.19 48.96 224 0.875 bicubic bilinear -10.964 -10.868 -7.128 -6.948 +18 +8
129 regnety_160 ecaresnetlight 68.650 69.340 31.350 30.660 88.260 89.220 11.740 10.780 83.59 30.16 224 0.875 bicubic -11.764 -11.122 -6.720 -6.030 -21 -7
130 gluon_resnet101_v1s resnet50d 68.630 69.330 31.370 30.670 87.790 88.220 12.210 11.780 44.67 25.58 224 0.875 bicubic -11.666 -11.200 -7.386 -6.940 -16 -12
131 gluon_seresnext50_32x4d xception71 68.600 69.320 31.400 30.680 88.070 88.260 11.930 11.740 27.56 42.34 224 299 0.875 0.903 bicubic -11.348 -10.554 -6.766 -6.662 -2 +20
132 gluon_resnet101_v1d gluon_xception65 68.590 69.160 31.410 30.840 88.000 88.090 12.000 11.910 44.57 39.92 224 299 0.875 0.903 bicubic -11.840 -10.556 -7.014 -6.770 -26 +28
133 regnety_064 gluon_resnet152_v1c 68.500 69.140 31.500 30.860 87.930 87.870 12.070 12.130 30.58 60.21 224 0.875 bicubic -11.236 -10.770 -6.828 -6.970 +8 +16
134 regnety_080 mixnet_xl 68.500 69.100 31.500 30.900 87.990 88.310 12.010 11.690 39.18 11.90 224 0.875 bicubic -11.340 -11.376 -6.858 -6.626 +3 -14
135 vit_deit_small_patch16_224 gluon_resnet101_v1d 68.480 69.010 31.520 30.990 88.220 88.100 11.780 11.900 22.05 44.57 224 0.900 0.875 bicubic -11.388 -11.404 -6.822 -6.914 -2 -11
136 dpn131 repvgg_b2g4 68.460 69.000 31.540 31.000 87.320 88.360 12.680 11.640 79.25 61.76 224 0.875 bicubic bilinear -11.406 -10.366 -7.406 -6.328 -2 +35
137 resnext50_32x4d seresnet50 68.450 68.980 31.550 31.020 87.590 88.710 12.410 11.290 25.03 28.09 224 0.875 bicubic -11.272 -11.294 -7.016 -6.360 +5 -4
138 dpn107 xception65 68.430 68.980 31.570 31.020 88.070 88.480 11.930 11.520 86.92 39.92 224 299 0.875 0.903 bicubic -11.750 -10.572 -6.836 -6.174 -17 +28
139 regnetx_160 efficientnet_b2 68.410 68.970 31.590 31.030 88.280 88.630 11.720 11.370 54.28 9.11 224 260 0.875 bicubic -11.474 -11.422 -6.546 -6.446 -8 -14
140 cspresnet50 gluon_resnext101_32x4d 68.410 68.960 31.590 31.040 88.060 88.360 11.940 11.640 21.62 44.18 256 224 0.887 0.875 bilinear bicubic -11.172 -11.374 -6.652 -6.566 +9 -13
141 skresnext50_32x4d tf_efficientnet_b2_ap 68.400 68.920 31.600 31.080 87.640 88.350 12.360 11.650 27.48 9.11 224 260 0.875 0.890 bicubic -11.754 -11.380 -7.062 -6.678 -18 -9
142 dla102x2 cspdarknet53 68.380 68.890 31.620 31.110 87.840 88.600 12.160 11.400 41.28 27.64 224 256 0.875 0.887 bilinear -11.048 -11.168 -6.788 -6.484 +11 +1
143 tf_efficientnet_b2 regnety_120 68.360 68.850 31.640 31.150 88.000 88.330 12.000 11.670 9.11 51.82 260 224 0.890 0.875 bicubic -11.664 -11.516 -6.944 -6.796 -16 -17
144 ecaresnet50d_pruned gluon_resnet152_v1b 68.350 68.820 31.650 31.180 88.290 87.710 11.710 12.290 19.94 60.19 224 0.875 bicubic -11.326 -10.866 -6.632 -7.026 +1 +17
145 efficientnet_b2_pruned dpn131 68.350 68.770 31.650 31.230 88.130 87.470 11.870 12.530 8.31 79.25 260 224 0.890 0.875 bicubic -11.482 -11.052 -6.676 -7.240 -7 +10
146 dpn98 cspresnext50 68.310 68.760 31.690 31.240 87.590 87.950 12.410 12.050 61.57 20.57 224 0.875 bicubic bilinear -11.378 -11.280 -7.054 -6.994 -3 -2
147 ecaresnet26t tf_efficientnet_b2 68.290 68.750 31.710 31.250 88.590 87.990 11.410 12.010 16.01 9.11 320 260 0.950 0.890 bicubic -11.594 -11.336 -6.482 -6.918 -16 -5
148 ese_vovnet39b resnext50d_32x4d 68.260 68.740 31.740 31.260 88.230 88.300 11.770 11.700 24.57 25.05 224 0.875 bicubic -10.946 -10.936 -6.498 -6.566 +18 +14
149 regnetx_120 vit_deit_small_patch16_224 68.160 68.720 31.840 31.280 87.520 88.200 12.480 11.800 46.11 22.05 224 0.875 0.900 bicubic -11.414 -11.136 -7.172 -6.852 0 +4
150 rexnet_130 gluon_resnet101_v1s 68.150 68.710 31.850 31.290 88.090 87.910 11.910 12.090 7.56 44.67 224 0.875 bicubic -11.366 -11.592 -6.570 -7.250 +1 -20
151 ssl_resnet50 regnety_080 68.150 68.700 31.850 31.300 88.640 87.970 11.360 12.030 25.56 39.18 224 0.875 bilinear bicubic -11.090 -11.176 -6.274 -6.860 +10 -1
152 tf_efficientnet_el dpn107 68.140 68.690 31.860 31.310 88.010 88.130 11.990 11.870 10.59 86.92 300 224 0.904 0.875 bicubic -12.152 -11.466 -7.110 -6.512 -36 -11
153 gluon_resnext50_32x4d gluon_seresnext50_32x4d 68.090 68.670 31.910 31.330 87.380 88.310 12.620 11.690 25.03 27.56 224 0.875 bicubic -11.230 -11.248 -7.120 -6.512 +4 -6
154 tf_efficientnet_lite3 hrnet_w64 68.080 68.640 31.920 31.360 87.790 88.050 12.210 11.950 8.20 128.06 300 224 0.904 0.875 bilinear -11.678 -10.834 -7.074 -6.602 -15 +15
155 gluon_resnet50_v1d resnext50_32x4d 68.070 68.640 31.930 31.360 86.900 87.570 13.100 12.430 25.58 25.03 224 0.875 bicubic -11.002 -11.128 -7.578 -7.028 +18 +2
156 regnetx_080 dpn98 68.040 68.590 31.960 31.410 87.120 87.680 12.880 12.320 39.57 61.57 224 0.875 bicubic -11.134 -11.052 -7.436 -6.918 +11 +7
157 nf_regnet_b1 regnetx_160 67.870 68.530 32.130 31.470 88.070 88.450 11.930 11.550 10.22 54.28 288 224 0.900 0.875 bicubic -11.454 -11.326 -6.702 -6.380 -1 -5
158 legacy_seresnext50_32x4d cspresnet50 67.840 68.460 32.160 31.540 87.570 88.010 12.430 11.990 27.56 21.62 224 256 0.875 0.887 bilinear -11.268 -11.114 -6.908 -6.702 +12 +7
159 hrnet_w48 rexnet_130 67.840 68.450 32.160 31.550 87.470 88.040 12.530 11.960 77.47 7.56 224 0.875 bilinear bicubic -11.396 -11.050 -7.052 -6.642 +4 +9
160 resnext101_32x8d regnety_064 67.790 68.420 32.210 31.580 87.410 88.080 12.590 11.920 88.79 30.58 224 0.875 bilinear bicubic -11.420 -11.302 -7.146 -6.688 +5 -3
161 efficientnet_em tf_efficientnet_el 67.660 68.420 32.340 31.580 88.040 88.210 11.960 11.790 6.90 10.59 240 300 0.882 0.904 bicubic -11.570 -11.830 -6.752 -6.918 +2 -28
162 regnetx_064 ecaresnet50d_pruned 67.660 68.420 32.340 31.580 87.290 88.370 12.710 11.630 26.21 19.94 224 0.875 bicubic -11.418 -11.296 -7.170 -6.510 +10 -1
163 tf_efficientnet_b0_ns ssl_resnet50 67.640 68.410 32.360 31.590 87.950 88.560 12.050 11.440 5.29 25.56 224 0.875 bicubic bilinear -10.960 -10.812 -6.438 -6.272 +26 +20
164 legacy_seresnet152 skresnext50_32x4d 67.630 68.350 32.370 31.650 87.420 87.570 12.580 12.430 66.82 27.48 224 0.875 bilinear bicubic -11.014 -11.806 -6.970 -7.340 +22 -24
165 regnety_040 dla102x2 67.610 68.330 32.390 31.670 87.480 87.890 12.520 12.110 20.65 41.28 224 0.875 bicubic bilinear -11.606 -11.118 -7.182 -6.750 -1 +5
166 res2net50_26w_8s efficientnet_b2_pruned 67.600 68.320 32.400 31.680 87.150 88.100 12.850 11.900 48.40 8.31 224 260 0.875 0.890 bilinear bicubic -11.530 -11.596 -7.254 -6.756 +3 -18
167 dla169 gluon_resnext50_32x4d 67.560 68.310 32.440 31.690 87.570 87.300 12.430 12.700 53.39 25.03 224 0.875 bilinear bicubic -11.172 -11.044 -6.764 -7.126 +18 +5
168 resnetblur50 ecaresnet26t 67.550 68.230 32.450 31.770 87.440 88.790 12.560 11.210 25.56 16.01 224 320 0.875 0.950 bicubic -11.712 -11.624 -7.182 -6.294 -9 -14
169 hrnet_w44 tf_efficientnet_lite3 67.550 68.230 32.450 31.770 87.570 87.740 12.430 12.260 67.06 8.20 224 300 0.875 0.904 bilinear -11.336 -11.590 -6.840 -7.174 +11 -13
170 dpn68b ese_vovnet39b 67.540 68.210 32.460 31.790 87.430 88.250 12.570 11.750 12.61 24.57 224 0.875 bicubic -11.600 -11.110 -6.994 -6.462 -2 +3
171 gluon_inception_v3 regnetx_120 67.540 68.150 32.460 31.850 87.150 87.660 12.850 12.340 23.83 46.11 299 224 0.875 bicubic -11.290 -11.446 -7.248 -7.078 +11 -7
172 resnetv2_50x1_bitm pit_xs_distilled_224 67.500 68.020 32.500 31.980 89.040 87.720 10.960 12.280 25.55 11.00 480 224 1.000 0.900 bilinear bicubic -12.652 -11.286 -6.604 -6.644 -48 +6
173 resnet50 dpn92 67.460 67.990 32.540 32.010 87.510 87.580 12.490 12.420 25.56 37.67 224 0.875 bicubic -11.544 -12.018 -6.882 -7.258 +2 -28
174 xception nf_regnet_b1 67.440 67.980 32.560 32.020 87.560 88.180 12.440 11.820 22.86 10.22 299 288 0.897 0.900 bicubic -11.588 -11.326 -6.810 -6.568 0 +3
175 tf_efficientnet_b1_ap gluon_resnet50_v1d 67.430 67.940 32.570 32.060 87.520 87.130 12.480 12.870 7.79 25.58 240 224 0.882 0.875 bicubic -11.860 -11.134 -6.806 -7.340 -17 +15
176 tf_efficientnet_cc_b1_8e regnetx_080 67.410 67.880 32.590 32.120 87.270 86.990 12.730 13.010 39.72 39.57 240 224 0.882 0.875 bicubic -11.878 -11.314 -7.088 -7.570 -17 +12
177 gluon_resnet101_v1c resnext101_32x8d 67.400 67.860 32.600 32.140 87.120 87.490 12.880 12.510 44.57 88.79 224 0.875 bicubic bilinear -12.150 -11.448 -7.522 -7.028 -27 -3
178 dpn92 efficientnet_em 67.390 67.840 32.610 32.160 87.300 88.120 12.700 11.880 37.67 6.90 224 240 0.875 0.882 bicubic -12.644 -11.412 -7.518 -6.674 -52 +4
179 gluon_resnet101_v1b legacy_seresnext50_32x4d 67.380 67.840 32.620 32.160 86.960 87.620 13.040 12.380 44.55 27.56 224 0.875 bicubic bilinear -11.980 -11.238 -7.548 -6.816 -24 +10
180 hrnet_w40 hrnet_w48 67.340 67.770 32.660 32.230 87.230 87.420 12.770 12.580 57.56 77.47 224 0.875 bilinear -11.566 -11.530 -7.204 -7.092 -2 -1
181 xception41 hrnet_w44 67.340 67.740 32.660 32.260 87.190 87.560 12.810 12.440 26.97 67.06 299 224 0.903 0.875 bicubic bilinear -11.156 -7.066 -6.808 +12 +15
182 res2net101_26w_4s tf_efficientnet_b0_ns 67.330 67.710 32.670 32.290 87.240 88.070 12.760 11.930 45.21 5.29 224 0.875 bilinear bicubic -11.790 -10.948 -7.192 -6.306 -12 +24
183 efficientnet_b1 regnetx_064 67.280 67.680 32.720 32.320 87.040 87.520 12.960 12.480 7.79 26.21 240 224 0.875 bicubic -11.324 -11.392 -7.054 -6.938 +4 +8
184 regnetx_032 xception 67.090 67.650 32.910 32.350 87.050 87.570 12.950 12.430 15.30 22.86 224 299 0.875 0.897 bicubic -11.058 -11.402 -7.016 -6.822 +20 +8
185 dla60_res2net dpn68b 67.080 67.630 32.920 32.370 87.020 87.660 12.980 12.340 20.85 12.61 224 0.875 bilinear bicubic -11.442 -11.586 -7.232 -6.754 +6 0
186 dla102x dla169 67.080 67.610 32.920 32.390 86.730 87.590 13.270 12.410 26.31 53.39 224 0.875 bilinear -11.448 -11.078 -7.476 -6.746 +4 +18
187 resnest26d gluon_inception_v3 67.080 67.590 32.920 32.410 87.100 87.470 12.900 12.530 17.07 23.83 224 299 0.875 bilinear bicubic -11.360 -11.216 -7.196 -6.900 +9 +12
188 tv_resnet152 gluon_resnet101_v1c 67.050 67.580 32.950 32.420 87.430 87.180 12.570 12.820 60.19 44.57 224 0.875 bilinear bicubic -11.200 -11.954 -6.552 -7.398 +13 -21
189 dla60x regnety_040 67.040 67.580 32.960 32.420 87.200 87.510 12.800 12.490 17.35 20.65 224 0.875 bilinear bicubic -11.186 -11.640 -6.788 -7.146 +13 -5
190 legacy_seresnet101 res2net50_26w_8s 67.040 67.570 32.960 32.430 87.120 87.280 12.880 12.720 49.33 48.40 224 0.875 bilinear -11.380 -11.628 -7.054 -7.088 +8 -4
191 mixnet_l hrnet_w40 66.980 67.560 33.020 32.440 86.880 87.140 13.120 12.860 7.33 57.56 224 0.875 bicubic bilinear -11.952 -11.360 -7.304 -7.330 -15 +4
192 gluon_resnet50_v1s resnetv2_50x1_bitm 66.950 67.520 33.050 32.480 86.710 89.250 13.290 10.750 25.68 25.55 224 480 0.875 1.000 bicubic bilinear -11.838 -12.652 -7.530 -6.376 -8 -55
193 repvgg_b2 tf_efficientnet_b1_ap 66.910 67.520 33.090 32.480 87.160 87.760 12.840 12.240 89.02 7.79 224 240 0.875 0.882 bilinear bicubic -11.972 -11.760 -7.186 -6.546 -13
194 hrnet_w30 legacy_seresnet152 66.870 67.520 33.130 32.480 86.780 87.390 13.220 12.610 37.71 66.82 224 0.875 bilinear -11.264 -11.140 -7.412 -6.980 +11 +13
195 res2net50_26w_6s gluon_resnet101_v1b 66.860 67.460 33.140 32.540 86.830 87.240 13.170 12.760 37.05 44.55 224 0.875 bilinear bicubic -11.744 -11.846 -7.334 -7.284 -7 -19
196 tf_efficientnet_b1 tf_efficientnet_cc_b1_8e 66.860 67.450 33.140 32.550 86.940 87.310 13.060 12.690 7.79 39.72 240 0.882 bicubic -11.972 -11.858 -7.266 -7.060 -15 -21
197 repvgg_b1 res2net101_26w_4s 66.750 67.440 33.250 32.560 86.560 87.010 13.440 12.990 57.42 45.21 224 0.875 bilinear -11.692 -11.758 -7.598 -7.422 -3 -10
198 efficientnet_es resnet50 66.750 67.440 33.250 32.560 86.640 87.420 13.360 12.580 5.44 25.56 224 0.875 bicubic -11.282 -11.598 -7.260 -6.970 +12 -5
199 dla60_res2next resnetblur50 66.740 67.430 33.260 32.570 87.030 87.440 12.970 12.560 17.03 25.56 224 0.875 bilinear bicubic -11.582 -11.856 -7.160 -7.198 0 -19
200 gluon_resnet50_v1c regnetx_032 66.680 67.290 33.320 32.710 86.120 87.000 13.880 13.000 25.58 15.30 224 0.875 bicubic -11.246 -10.882 -7.886 -7.088 +11 +24
201 hrnet_w32 xception41 66.680 67.250 33.320 32.750 87.370 87.200 12.630 12.800 41.23 26.97 224 299 0.875 0.903 bilinear bicubic -11.744 -11.266 -6.832 -7.078 -4 +7
202 wide_resnet101_2 resnest26d 66.660 67.200 33.340 32.800 87.060 87.170 12.940 12.830 126.89 17.07 224 0.875 bilinear -12.250 -11.278 -7.284 -7.128 -25 +9
203 regnetx_040 efficientnet_b1 66.620 67.170 33.380 32.830 86.550 87.150 13.450 12.850 22.12 7.79 224 240 0.875 bicubic -11.874 -11.528 -7.720 -6.994 -9 0
204 tf_mixnet_l repvgg_b2 66.550 67.160 33.450 32.840 86.530 87.330 13.470 12.670 7.33 89.02 224 0.875 bicubic bilinear -12.252 -11.632 -7.524 -7.084 -21 -5
205 dla102 legacy_seresnet101 66.530 67.160 33.470 32.840 86.920 87.060 13.080 12.940 33.27 49.33 224 0.875 bilinear -11.524 -11.222 -6.998 -7.204 +3 +12
206 selecsls60 dla60x 66.530 67.100 33.470 32.900 86.400 87.190 13.600 12.810 30.67 17.35 224 0.875 bicubic bilinear -11.384 -11.146 -7.422 -6.828 +7 +13
207 selecsls60b gluon_resnet50_v1s 66.440 67.060 33.560 32.940 86.500 86.860 13.500 13.140 32.77 25.68 224 0.875 bicubic -12.056 -11.650 -7.692 -7.378 -15 -5
208 adv_inception_v3 tv_resnet152 66.420 67.050 33.580 32.950 86.370 87.550 13.630 12.450 23.83 60.19 299 224 0.875 bicubic bilinear -11.142 -11.262 -7.316 -6.488 +15 +10
209 tf_inception_v3 dla60_res2net 66.380 67.020 33.620 32.980 86.540 87.160 13.460 12.840 23.83 20.85 299 224 0.875 bicubic bilinear -11.424 -11.444 -7.184 -7.046 +8 +3
210 efficientnet_b0 dla102x 66.150 67.010 33.850 32.990 86.160 86.770 13.840 13.230 5.29 26.31 224 0.875 bicubic bilinear -11.460 -11.500 -7.404 -7.458 +12 -1
211 legacy_seresnet50 mixnet_l 66.140 66.940 33.860 33.060 86.220 86.910 13.780 13.090 28.09 7.33 224 0.875 bilinear bicubic -11.472 -12.036 -7.576 -7.272 +10 -17
212 tf_efficientnet_cc_b0_8e pit_xs_224 66.130 66.920 33.870 33.080 86.070 87.280 13.930 12.720 24.01 10.62 224 0.875 0.900 bicubic -11.796 -11.262 -7.528 -6.888 0 +11
213 regnety_016 res2net50_26w_6s 66.070 66.910 33.930 33.090 86.320 86.860 13.680 13.140 11.20 37.05 224 0.875 bicubic bilinear -11.734 -11.660 -7.330 -7.264 +5 -6
214 gluon_resnet50_v1b repvgg_b1 66.010 66.900 33.990 33.100 86.370 86.780 13.630 13.220 25.56 57.42 224 0.875 bicubic bilinear -11.654 -11.466 -7.304 -7.318 +5 +3
215 tf_efficientnet_em tf_efficientnet_b1 65.960 66.880 34.040 33.120 86.240 87.010 13.760 12.990 6.90 7.79 240 0.882 bicubic -12.200 -11.946 -7.806 -7.188 -12 -18
216 inception_v3 efficientnet_es 65.940 66.880 34.060 33.120 86.140 86.730 13.860 13.270 23.83 5.44 299 224 0.875 bicubic -11.470 -11.186 -7.334 -7.196 +12 +13
217 efficientnet_b1_pruned regnetx_040 65.930 66.840 34.070 33.160 86.510 86.730 13.490 13.270 6.33 22.12 240 224 0.882 0.875 bicubic -12.344 -11.642 -7.298 -7.514 -17 -7
218 res2net50_26w_4s hrnet_w30 65.910 66.780 34.090 33.220 86.570 86.800 13.430 13.200 25.70 37.71 224 0.875 bilinear -12.056 -11.426 -7.260 -7.422 -8 +4
219 res2net50_14w_8s tf_mixnet_l 65.890 66.780 34.110 33.220 86.180 86.470 13.820 13.530 25.06 7.33 224 0.875 bilinear bicubic -12.228 -11.994 -7.656 -7.528 -13 -18
220 rexnet_100 selecsls60b 65.880 66.760 34.120 33.240 86.530 13.470 4.80 32.77 224 0.875 bicubic -12.006 -11.652 -7.328 -7.644 -6 -5
221 skresnet34 hrnet_w32 65.860 66.750 34.140 33.250 85.860 87.300 14.140 12.700 22.28 41.23 224 0.875 bicubic bilinear -11.050 -11.700 -7.412 -6.886 +21 -8
222 seresnext26t_32x4d wide_resnet101_2 65.790 66.730 34.210 33.270 85.730 87.030 14.270 12.970 16.81 126.89 224 0.875 bicubic bilinear -12.040 -12.126 -7.998 -7.252 -6 -25
223 res2next50 adv_inception_v3 65.780 66.650 34.220 33.350 85.730 86.540 14.270 13.460 24.67 23.83 224 299 0.875 bilinear bicubic -12.300 -10.932 -8.222 -7.196 -16 +22
224 tv_resnext50_32x4d dla60_res2next 65.780 66.640 34.220 33.360 85.940 87.030 14.060 12.970 25.03 17.03 224 0.875 bilinear -11.848 -11.800 -7.740 -7.122 -4 -10
225 resnet34d gluon_resnet50_v1c 65.720 66.560 34.280 33.440 86.520 86.180 13.480 13.820 21.82 25.58 224 0.875 bicubic -11.376 -11.452 -6.904 -7.808 +12 +5
226 vit_small_patch16_224 dla102 65.690 66.540 34.310 33.460 86.070 86.910 13.930 13.090 48.75 33.27 224 0.900 0.875 bicubic bilinear -12.182 -11.492 -7.322 -7.036 -11 +3
227 tv_resnet101 tf_inception_v3 65.680 66.410 34.320 33.590 86.120 86.660 13.880 13.340 44.55 23.83 224 299 0.875 bilinear bicubic -11.634 -11.448 -7.436 -6.756 +5 +11
228 densenet161 hardcorenas_f 65.660 66.370 34.340 33.630 86.480 86.200 13.520 13.800 28.68 8.20 224 0.875 bicubic bilinear -11.678 -11.734 -7.208 -7.602 +1 -1
229 repvgg_b1g4 efficientnet_b0 65.560 66.290 34.440 33.710 86.020 85.960 13.980 14.040 39.97 5.29 224 0.875 bilinear bicubic -11.980 -11.408 -7.774 -7.572 -5 +11
230 tf_efficientnet_lite2 legacy_seresnet50 65.410 66.250 34.590 33.750 85.950 86.330 14.050 13.670 6.09 28.09 260 224 0.890 0.875 bicubic bilinear -12.030 -11.380 -7.812 -7.418 -3 +11
231 selecsls42b selecsls60 65.390 66.210 34.610 33.790 85.830 86.340 14.170 13.660 32.46 30.67 224 0.875 bicubic -11.706 -11.772 -7.562 -7.488 +5 +1
232 seresnext26d_32x4d tf_efficientnet_em 65.370 66.180 34.630 33.820 85.930 86.360 14.070 13.640 16.81 6.90 224 240 0.875 0.882 bicubic -12.148 -11.950 -7.676 -7.684 -6
233 densenet201 tv_resnext50_32x4d 65.360 66.180 34.640 33.820 85.620 86.040 14.380 13.960 20.01 25.03 224 0.875 bicubic bilinear -11.960 -11.440 -7.862 -7.656 -2 +9
234 densenetblur121d tf_efficientnet_cc_b0_8e 65.250 66.170 34.750 33.830 85.820 86.240 14.180 13.760 8.00 24.01 224 0.875 bicubic -11.224 -11.738 -7.276 -7.414 +18 0
235 res2net50_48w_2s inception_v3 65.250 66.160 34.750 33.840 85.900 86.320 14.100 13.680 25.29 23.83 224 299 0.875 bilinear bicubic -12.268 -11.278 -7.682 -7.156 -10 +14
236 gernet_s res2net50_26w_4s 65.200 66.140 34.800 33.860 85.430 86.600 14.570 13.400 8.17 25.70 224 0.875 bilinear -11.674 -11.824 -7.698 -7.254 +7 -3
237 dla60 efficientnet_b1_pruned 65.180 66.090 34.820 33.910 85.580 86.570 14.420 13.430 22.04 6.33 224 240 0.875 0.882 bilinear bicubic -11.744 -12.146 -7.710 -7.264 +3 -16
238 ese_vovnet19b_dw gluon_resnet50_v1b 65.120 66.070 34.880 33.930 85.150 86.260 14.850 13.740 6.54 25.56 224 0.875 bicubic -11.652 -11.510 -8.126 -7.456 +8
239 tf_efficientnet_b0_ap rexnet_100 65.090 66.070 34.910 33.930 85.470 86.490 14.530 13.510 5.29 4.80 224 0.875 bicubic -11.982 -11.788 -7.792 -7.148 -1 -2
240 mobilenetv2_120d regnety_016 64.970 66.060 35.030 33.940 85.820 86.380 14.180 13.620 5.83 11.20 224 0.875 bicubic -12.358 -11.802 -7.658 -7.340 -10 -5
241 hrnet_w18 res2net50_14w_8s 64.920 66.020 35.080 33.980 85.710 86.250 14.290 13.750 21.30 25.06 224 0.875 bilinear -11.912 -12.130 -7.694 -7.598 +3 -16
242 tf_efficientnet_cc_b0_4e seresnext26t_32x4d 64.910 65.880 35.090 34.120 85.040 85.680 14.960 14.320 13.31 16.81 224 0.875 bicubic -12.386 -12.106 -8.320 -8.066 -9 -11
243 legacy_seresnext26_32x4d repvgg_b1g4 64.770 65.850 35.230 34.150 85.560 86.120 14.440 13.880 16.79 39.97 224 0.875 bicubic bilinear -12.346 -11.744 -7.798 -7.706 -8 +1
244 mixnet_m res2next50 64.700 65.850 35.300 34.150 85.460 85.840 14.540 14.160 5.01 24.67 224 0.875 bicubic bilinear -12.476 -12.396 -7.966 -8.052 -10 -24
245 resnet26d densenet161 64.660 65.840 35.340 34.160 85.140 86.450 14.860 13.550 16.01 28.68 224 0.875 bicubic -11.940 -11.518 -8.048 -7.188 +3 +7
246 tf_mixnet_m hardcorenas_e 64.510 65.840 35.490 34.160 85.030 85.980 14.970 14.020 5.01 8.07 224 0.875 bicubic bilinear -12.454 -11.954 -8.182 -7.714 -7
247 tf_efficientnet_lite1 resnet34d 64.490 65.780 35.510 34.220 85.610 86.710 14.390 13.290 5.42 21.82 240 224 0.882 0.875 bicubic -12.138 -11.336 -7.638 -6.672 0 +11
248 densenet169 skresnet34 64.350 65.750 35.650 34.250 85.160 85.960 14.840 14.040 14.15 22.28 224 0.875 bicubic -11.600 -11.162 -7.834 -7.362 +9 +18
249 regnetx_016 vit_small_patch16_224 64.330 65.740 35.670 34.260 85.480 86.120 14.520 13.880 9.19 48.75 224 0.875 0.900 bicubic -12.584 -12.118 -7.892 -7.750 -8 -13
250 repvgg_a2 tv_resnet101 64.260 65.690 35.740 34.310 85.240 85.980 14.760 14.020 28.21 44.55 224 0.875 bilinear -12.228 -11.684 -7.782 -7.560 +1
251 tf_efficientnet_b0 hardcorenas_d 64.200 65.630 35.800 34.370 85.200 85.460 14.800 14.540 5.29 7.50 224 0.875 bicubic bilinear -12.630 -11.802 -8.072 -8.024 -6 -1
252 dpn68 selecsls42b 63.870 65.610 36.130 34.390 85.080 85.810 14.920 14.190 12.61 32.46 224 0.875 bicubic -12.508 -11.564 -7.898 -7.580 +1 +5
253 mobilenetv2_140 tf_efficientnet_b0_ap 63.850 65.490 36.150 34.510 84.840 85.580 15.160 14.420 6.11 5.29 224 0.875 bicubic -12.688 -11.596 -8.104 -7.676 -3 +7
254 tf_efficientnet_es seresnext26d_32x4d 63.830 65.410 36.170 34.590 84.600 85.970 15.400 14.030 5.44 16.81 224 0.875 bicubic -12.732 -12.192 -8.584 -7.638 -5 -11
255 regnety_008 tf_efficientnet_lite2 63.780 65.380 36.220 34.620 85.320 85.990 14.680 14.010 6.26 6.09 224 260 0.875 0.890 bicubic -12.544 -12.088 -7.780 -7.764 -1 -7
256 mixnet_s res2net50_48w_2s 63.690 65.350 36.310 34.650 84.640 85.960 15.360 14.040 4.13 25.29 224 0.875 bicubic bilinear -12.372 -12.172 -8.186 -7.594 -1 -9
257 densenet121 densenet201 63.600 65.290 36.400 34.710 84.570 85.690 15.430 14.310 7.98 20.01 224 0.875 bicubic -11.930 -11.996 -8.046 -7.788 +5 -3
258 resnet26 densenetblur121d 63.470 65.280 36.530 34.720 84.280 85.710 15.720 14.290 16.00 8.00 224 0.875 bicubic -11.924 -11.308 -8.304 -7.482 +8 +15
259 tf_mixnet_s dla60 63.450 65.200 36.550 34.800 84.240 85.760 15.760 14.240 4.13 22.04 224 0.875 bicubic bilinear -12.208 -11.832 -8.378 -7.558 0 +3
260 mobilenetv3_large_100 ese_vovnet19b_dw 63.320 65.190 36.680 34.810 84.090 85.470 15.910 14.530 5.48 6.54 224 0.875 bicubic -12.390 -11.608 -8.406 -7.798 -2 +8
261 resnest14d tf_efficientnet_cc_b0_4e 63.290 65.150 36.710 34.850 84.110 85.160 15.890 14.840 10.61 13.31 224 0.875 bilinear bicubic -12.298 -12.156 -8.378 -8.174 -1 -8
262 tv_resnet50 gernet_s 63.280 65.120 36.720 34.880 84.660 85.510 15.340 14.490 25.56 8.17 224 0.875 bilinear -12.732 -11.796 -8.274 -7.622 -6 +3
263 mobilenetv3_rw legacy_seresnext26_32x4d 63.090 65.050 36.910 34.950 84.400 85.660 15.600 14.340 5.48 16.79 224 0.875 bicubic -12.452 -12.054 -8.276 -7.656 -2 -4
264 efficientnet_lite0 mobilenetv2_120d 63.060 65.030 36.940 34.970 84.450 85.960 15.550 14.040 4.65 5.83 224 0.875 bicubic -12.384 -12.254 -8.094 -7.532 0 -9
265 regnety_006 hrnet_w18 63.060 64.920 36.940 35.080 84.100 85.740 15.900 14.260 6.06 21.30 224 0.875 bicubic bilinear -12.146 -11.838 -8.460 -7.704 +3 +4
266 semnasnet_100 hardcorenas_c 63.060 64.860 36.940 35.140 84.300 85.250 15.700 14.750 3.89 5.52 224 0.875 bicubic bilinear -12.366 -12.194 -8.248 -7.908 -1 -5
267 resnet34 densenet169 62.890 64.760 37.110 35.240 84.110 85.240 15.890 14.760 21.80 14.15 224 0.875 bilinear bicubic -12.206 -11.146 -8.136 -7.786 +3 +15
268 legacy_seresnet34 mixnet_m 62.800 64.700 37.200 35.300 84.120 85.450 15.880 14.550 21.96 5.01 224 0.875 bilinear bicubic -12.112 -12.560 -8.044 -7.974 +6 -12
269 hrnet_w18_small_v2 resnet26d 62.770 64.680 37.230 35.320 83.950 85.120 16.050 14.880 15.60 16.01 224 0.875 bilinear bicubic -12.394 -12.016 -8.480 -8.030 0 +1
270 vit_deit_tiny_distilled_patch16_224 repvgg_a2 62.770 64.450 37.230 35.550 83.830 85.130 16.170 14.870 5.91 28.21 224 0.900 0.875 bicubic bilinear -11.724 -12.010 -8.054 -7.874 +10 +6
271 regnetx_008 hardcorenas_b 62.760 64.420 37.240 35.580 83.970 84.870 16.030 15.130 7.26 5.18 224 0.875 bicubic bilinear -12.266 -12.118 -8.362 -7.884 +2 +3
272 repvgg_b0 regnetx_016 62.670 64.380 37.330 35.620 83.880 85.470 16.120 14.530 15.82 9.19 224 0.875 bilinear bicubic -12.544 -12.570 -8.574 -7.950 -5 -9
273 mobilenetv2_110d tf_efficientnet_lite1 62.650 64.380 37.350 35.620 84.500 85.470 15.500 14.530 4.52 5.42 224 240 0.875 0.882 bicubic -12.398 -12.262 -7.632 -7.756 -1 -2
274 tv_densenet121 tf_efficientnet_b0 62.610 64.310 37.390 35.690 83.880 85.280 16.120 14.720 7.98 5.29 224 0.875 bicubic -12.136 -12.538 -8.250 -7.948 +2 -7
275 dla34 tf_mixnet_m 62.580 64.270 37.420 35.730 83.880 85.090 16.120 14.910 15.74 5.01 224 0.875 bilinear bicubic -12.056 -12.672 -8.242 -8.062 +3 -11
276 swsl_resnet18 dpn68 62.560 64.230 37.440 35.770 84.420 85.180 15.580 14.820 11.69 12.61 224 0.875 bilinear bicubic -10.758 -12.088 -7.332 -7.798 +11 +1
277 gluon_resnet34_v1b tf_efficientnet_es 62.460 64.230 37.540 35.770 83.880 84.740 16.120 15.260 21.80 5.44 224 0.875 bicubic -12.036 -12.364 -8.128 -8.462 +2 -5
278 tf_mobilenetv3_large_100 regnety_008 62.400 64.160 37.600 35.840 83.900 85.270 16.100 14.730 5.48 6.26 224 0.875 bilinear bicubic -13.120 -12.156 -8.650 -7.796 -15 0
279 tf_efficientnet_lite0 mobilenetv2_140 62.330 64.060 37.670 35.940 84.100 85.040 15.900 14.960 4.65 6.11 224 0.875 bicubic -12.538 -12.456 -8.030 -7.956 -4
280 fbnetc_100 densenet121 62.160 63.750 37.840 36.250 83.400 84.590 16.600 15.410 5.57 7.98 224 0.875 bilinear bicubic -12.922 -11.828 -8.954 -8.062 -9 +6
281 regnety_004 hardcorenas_a 62.070 63.710 37.930 36.290 83.490 84.400 16.510 15.600 4.34 5.26 224 0.875 bicubic bilinear -11.872 -12.206 -8.264 -8.114 +3 0
282 vgg19_bn resnest14d 61.870 63.590 38.130 36.410 83.400 84.250 16.600 15.750 143.68 10.61 224 0.875 bilinear -12.346 -11.914 -8.448 -8.268 -1 +6
283 mnasnet_100 tf_mixnet_s 61.790 63.560 38.210 36.440 83.780 84.270 16.220 15.730 4.38 4.13 224 0.875 bicubic -12.902 -12.090 -8.360 -8.358 -6 +1
284 ssl_resnet18 resnet26 61.400 63.470 38.600 36.530 83.310 84.260 16.690 15.740 11.69 16.00 224 0.875 bilinear bicubic -11.092 -11.822 -8.132 -8.310 +8 +7
285 regnetx_006 mixnet_s 61.280 63.390 38.720 36.610 83.120 84.740 16.880 15.260 6.20 4.13 224 0.875 bicubic -12.682 -12.602 -8.564 -8.056 -2 -5
286 spnasnet_100 mobilenetv3_large_100 61.200 63.360 38.800 36.640 82.740 84.090 17.260 15.910 4.42 5.48 224 0.875 bilinear bicubic -12.920 -12.406 -9.142 -8.452 -4 -3
287 tv_resnet34 efficientnet_es_pruned 61.010 63.330 38.990 36.670 82.640 84.950 17.360 15.050 21.80 5.44 224 0.875 bilinear bicubic -12.256 -11.670 -8.790 -7.498 +1 +12
288 skresnet18 tv_resnet50 60.850 63.330 39.150 36.670 82.840 84.640 17.160 15.360 11.96 25.56 224 0.875 bicubic bilinear -12.150 -12.808 -8.316 -8.224 +1 -9
289 vgg16_bn efficientnet_lite0 60.690 63.240 39.310 36.760 83.060 84.440 16.940 15.560 138.37 4.65 224 0.875 bilinear bicubic -12.786 -12.244 -8.476 -8.070 -4 0
290 tf_mobilenetv3_large_075 mobilenetv3_rw 60.370 63.220 39.630 36.780 81.710 84.510 18.290 15.490 3.99 5.48 224 0.875 bilinear bicubic -13.002 -12.414 -9.694 -8.198 -4 -5
291 mobilenetv2_100 pit_ti_distilled_224 60.160 63.150 39.840 36.850 82.140 83.960 17.860 16.040 3.50 5.10 224 0.875 0.900 bicubic -12.796 -11.380 -8.902 -8.136 -1 +15
292 resnet18d semnasnet_100 59.830 63.150 40.170 36.850 82.380 84.520 17.620 15.480 11.71 3.89 224 0.875 bicubic -12.550 -12.298 -8.330 -8.084 +1 -2
293 legacy_seresnet18 regnety_006 59.700 63.110 40.300 36.890 81.630 84.250 18.370 15.750 11.78 6.06 224 0.875 bicubic -12.052 -12.136 -8.678 -8.282 +5 -1
294 vit_deit_tiny_patch16_224 tv_densenet121 59.700 62.940 40.300 37.060 82.730 84.250 17.270 15.750 5.72 7.98 224 0.900 0.875 bicubic -12.496 -11.798 -8.362 -7.900 +3 +8
295 vgg19 resnet34 59.570 62.870 40.430 37.130 81.360 84.140 18.640 15.860 143.67 21.80 224 0.875 bilinear -12.790 -12.240 -9.490 -8.144 -1 +1
296 regnetx_004 legacy_seresnet34 59.540 62.850 40.460 37.150 81.730 84.210 18.270 15.790 5.16 21.96 224 0.875 bicubic bilinear -12.996 -11.958 -9.112 -7.914 -5 +5
297 vgg13_bn mobilenetv2_110d 59.080 62.830 40.920 37.170 81.080 84.500 18.920 15.500 133.05 4.52 224 0.875 bilinear bicubic -12.538 -12.206 -9.280 -7.686 +3 +1
298 hrnet_w18_small vit_deit_tiny_distilled_patch16_224 58.980 62.810 41.020 37.190 81.260 83.930 18.740 16.070 13.19 5.91 224 0.875 0.900 bilinear bicubic -13.296 -11.700 -9.326 -7.960 -3 +9
299 tf_mobilenetv3_large_minimal_100 hrnet_w18_small_v2 58.980 62.800 41.020 37.200 80.980 83.980 19.020 16.020 3.92 15.60 224 0.875 bilinear -13.248 -12.314 -9.702 -8.436 -3 -4
300 vgg16 swsl_resnet18 58.550 62.760 41.450 37.240 81.580 84.300 18.420 15.700 138.36 11.69 224 0.875 bilinear -13.078 -10.516 -8.788 -7.434 -1 +15
301 gluon_resnet18_v1b repvgg_b0 58.210 62.720 41.790 37.280 81.080 83.860 18.920 16.140 11.69 15.82 224 0.875 bicubic bilinear -12.712 -12.432 -8.690 -8.558 0 -8
302 resnet18 gluon_resnet34_v1b 57.100 62.570 42.900 37.430 80.100 83.990 19.900 16.010 11.69 21.80 224 0.875 bilinear bicubic -12.544 -12.018 -8.882 -8.000 +3
303 vgg13 tf_efficientnet_lite0 57.100 62.550 42.900 37.450 79.600 84.220 20.400 15.780 133.05 4.65 224 0.875 bilinear bicubic -12.884 -12.280 -9.706 -7.956 +1 -3
304 vgg11_bn regnetx_008 57.050 62.490 42.950 37.510 79.830 84.020 20.170 15.980 132.87 7.26 224 0.875 bilinear bicubic -13.358 -12.548 -9.894 -8.316 -2 -7
305 regnety_002 dla34 56.910 62.480 43.090 37.520 79.870 83.910 20.130 16.090 3.16 15.74 224 0.875 bicubic bilinear -13.416 -12.150 -9.686 -8.168 -2 -1
306 dla60x_c tf_mobilenetv3_large_100 56.170 62.460 43.830 37.540 78.880 83.970 21.120 16.030 1.32 5.48 224 0.875 bilinear -11.782 -13.058 -9.558 -8.636 +2 -19
307 regnetx_002 fbnetc_100 55.900 62.440 44.100 37.560 79.140 83.380 20.860 16.620 2.68 5.57 224 0.875 bicubic bilinear -12.930 -12.684 -9.370 -9.006 0 -13
308 vgg11 mnasnet_100 55.800 61.900 44.200 38.100 78.650 83.710 21.350 16.290 132.86 4.38 224 0.875 bilinear bicubic -13.072 -12.758 -10.008 -8.404 -2 -5
309 tf_mobilenetv3_small_100 regnety_004 54.360 61.870 45.640 38.130 77.000 83.430 23.000 16.570 2.54 4.34 224 0.875 bilinear bicubic -13.516 -12.164 -10.682 -8.322 0 +1
310 dla46x_c vgg19_bn 53.030 61.860 46.970 38.140 76.730 83.450 23.270 16.550 1.07 143.68 224 0.875 bilinear -12.900 -12.354 -10.274 -8.392 0 -2
311 tf_mobilenetv3_small_075 ssl_resnet18 52.220 61.480 47.780 38.520 75.460 83.300 24.540 16.700 2.04 11.69 224 0.875 bilinear -13.512 -11.130 -10.708 -8.116 0 +8
312 dla46_c regnetx_006 51.980 61.350 48.020 38.650 75.560 83.450 24.440 16.550 1.30 6.20 224 0.875 bilinear bicubic -12.950 -12.502 -10.748 -8.222 0 -1
313 tf_mobilenetv3_small_minimal_100 spnasnet_100 49.370 61.220 50.630 38.780 72.840 82.790 27.160 17.210 2.04 4.42 224 0.875 bilinear -13.374 -12.864 -11.540 -9.028 0 -4
314 tv_resnet34 61.190 38.810 82.710 17.290 21.80 224 0.875 bilinear -12.122 -8.716 0
315 pit_ti_224 60.980 39.020 83.860 16.140 4.85 224 0.900 bicubic -11.932 -7.542 +3
316 skresnet18 60.860 39.140 82.880 17.120 11.96 224 0.875 bicubic -12.178 -8.288 0
317 vgg16_bn 60.760 39.240 82.950 17.050 138.37 224 0.875 bilinear -12.590 -8.556 -4
318 tf_mobilenetv3_large_075 60.400 39.600 81.950 18.050 3.99 224 0.875 bilinear -13.038 -9.400 -6
319 mobilenetv2_100 60.190 39.810 82.240 17.760 3.50 224 0.875 bicubic -12.780 -8.776 -2
320 resnet18d 60.160 39.840 82.300 17.700 11.71 224 0.875 bicubic -12.100 -8.396 +3
321 vit_deit_tiny_patch16_224 59.830 40.170 82.670 17.330 5.72 224 0.900 bicubic -12.338 -8.448 +4
322 legacy_seresnet18 59.800 40.200 81.690 18.310 11.78 224 0.875 bicubic -11.942 -8.644 +4
323 vgg19 59.710 40.290 81.450 18.550 143.67 224 0.875 bilinear -12.658 -9.422 -2
324 regnetx_004 59.410 40.590 81.690 18.310 5.16 224 0.875 bicubic -12.986 -9.140 -4
325 tf_mobilenetv3_large_minimal_100 59.070 40.930 81.150 18.850 3.92 224 0.875 bilinear -13.178 -9.480 -1
326 vgg13_bn 59.000 41.000 81.070 18.930 133.05 224 0.875 bilinear -12.594 -9.306 +1
327 hrnet_w18_small 58.950 41.050 81.340 18.660 13.19 224 0.875 bilinear -13.394 -9.338 -5
328 vgg16 58.830 41.170 81.660 18.340 138.36 224 0.875 bilinear -12.764 -8.722 0
329 gluon_resnet18_v1b 58.340 41.660 80.970 19.030 11.69 224 0.875 bicubic -12.496 -8.792 0
330 vgg11_bn 57.410 42.590 80.020 19.980 132.87 224 0.875 bilinear -12.950 -9.782 0
331 resnet18 57.170 42.830 80.200 19.800 11.69 224 0.875 bilinear -12.578 -8.878 +2
332 vgg13 57.150 42.850 79.540 20.460 133.05 224 0.875 bilinear -12.776 -9.706 0
333 regnety_002 57.000 43.000 79.840 20.160 3.16 224 0.875 bicubic -13.252 -9.700 -2
334 regnetx_002 56.050 43.950 79.210 20.790 2.68 224 0.875 bicubic -12.712 -9.346 +1
335 dla60x_c 56.000 44.000 78.930 21.070 1.32 224 0.875 bilinear -11.892 -9.496 +2
336 vgg11 55.800 44.200 78.830 21.170 132.86 224 0.875 bilinear -13.224 -9.798 -2
337 tf_mobilenetv3_small_100 54.530 45.470 77.060 22.940 2.54 224 0.875 bilinear -13.392 -10.604 -1
338 dla46x_c 53.050 46.950 76.870 23.130 1.07 224 0.875 bilinear -12.920 -10.110 0
339 tf_mobilenetv3_small_075 52.160 47.840 75.470 24.530 2.04 224 0.875 bilinear -13.556 -10.660 0
340 dla46_c 52.130 47.870 75.690 24.310 1.30 224 0.875 bilinear -12.736 -10.602 0
341 tf_mobilenetv3_small_minimal_100 49.500 50.500 73.050 26.950 2.04 224 0.875 bilinear -13.406 -11.180 0

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model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation,top1_diff,top5_diff,rank_diff model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation,top1_diff,top5_diff,rank_diff
ig_resnext101_32x48d,58.850,41.150,81.080,18.920,828.41,224,0.875,bilinear,-26.652,-16.468,+9 ig_resnext101_32x48d,58.810,41.190,81.076,18.924,828.41,224,0.875,bilinear,-26.618,-16.496,+12
ig_resnext101_32x32d,58.429,41.571,80.371,19.629,468.53,224,0.875,bilinear,-26.717,-17.085,+14 ig_resnext101_32x32d,58.386,41.614,80.381,19.619,468.53,224,0.875,bilinear,-26.708,-17.057,+19
ig_resnext101_32x16d,57.663,42.337,79.882,20.118,194.03,224,0.875,bilinear,-26.505,-17.314,+29 ig_resnext101_32x16d,57.690,42.310,79.905,20.095,194.03,224,0.875,bilinear,-26.480,-17.291,+33
swsl_resnext101_32x16d,57.466,42.534,80.406,19.594,194.03,224,0.875,bilinear,-25.998,-16.460,+36 swsl_resnext101_32x16d,57.458,42.542,80.385,19.615,194.03,224,0.875,bilinear,-25.888,-16.461,+44
swsl_resnext101_32x8d,56.460,43.540,78.936,21.064,88.79,224,0.875,bilinear,-27.872,-18.218,+24 swsl_resnext101_32x8d,56.438,43.562,78.944,21.056,88.79,224,0.875,bilinear,-27.846,-18.232,+28
ig_resnext101_32x8d,54.918,45.082,77.531,22.468,88.79,224,0.875,bilinear,-27.742,-19.153,+46 ig_resnext101_32x8d,54.918,45.082,77.534,22.466,88.79,224,0.875,bilinear,-27.770,-19.102,+56
swsl_resnext101_32x4d,53.601,46.399,76.315,23.685,44.18,224,0.875,bilinear,-29.651,-20.453,+36 swsl_resnext101_32x4d,53.603,46.397,76.347,23.653,44.18,224,0.875,bilinear,-29.627,-20.413,+44
tf_efficientnet_l2_ns_475,51.485,48.515,73.918,26.082,480.31,475,0.936,bicubic,-36.745,-24.628,-6 tf_efficientnet_l2_ns_475,51.494,48.506,73.928,26.072,480.31,475,0.936,bicubic,-36.740,-24.618,-6
swsl_resnext50_32x4d,50.396,49.604,73.356,26.644,25.03,224,0.875,bilinear,-31.790,-22.908,+50 swsl_resnext50_32x4d,50.437,49.563,73.368,26.633,25.03,224,0.875,bilinear,-31.745,-22.862,+62
swsl_resnet50,49.547,50.453,72.352,27.648,25.56,224,0.875,bilinear,-31.577,-23.636,+74 swin_large_patch4_window12_384,50.404,49.596,72.564,27.436,196.74,384,1.000,bicubic,-36.744,-25.670,-7
tf_efficientnet_b7_ns,47.784,52.216,69.644,30.356,66.35,600,0.949,bicubic,-39.046,-28.448,-8 swsl_resnet50,49.541,50.459,72.334,27.666,25.56,224,0.875,bilinear,-31.625,-23.638,+88
tf_efficientnet_b6_ns,47.773,52.227,69.966,30.034,43.04,528,0.942,bicubic,-38.689,-27.912,-8 swin_large_patch4_window7_224,48.991,51.009,71.391,28.609,196.53,224,0.900,bicubic,-37.329,-26.505,-5
tf_efficientnet_l2_ns,47.598,52.402,69.978,30.022,480.31,800,0.960,bicubic,-40.738,-28.686,-12 swin_base_patch4_window12_384,48.553,51.447,71.813,28.187,87.90,384,1.000,bicubic,-37.879,-26.245,-7
tf_efficientnet_b8_ap,45.778,54.222,67.893,32.107,87.41,672,0.954,bicubic,-39.606,-29.405,-1 tf_efficientnet_b7_ns,47.800,52.200,69.640,30.360,66.35,600,0.949,bicubic,-39.040,-28.454,-10
tf_efficientnet_b5_ns,45.595,54.405,67.852,32.148,30.39,456,0.934,bicubic,-40.477,-29.896,-9 tf_efficientnet_b6_ns,47.761,52.239,69.968,30.032,43.04,528,0.942,bicubic,-38.691,-27.914,-10
vit_base_resnet50_384,43.524,56.476,66.792,33.208,98.95,384,1.000,bicubic,-41.470,-30.502,+2 tf_efficientnet_l2_ns,47.570,52.430,70.019,29.981,480.31,800,0.960,bicubic,-40.782,-28.631,-15
tf_efficientnet_b4_ns,43.438,56.562,65.550,34.450,19.34,380,0.922,bicubic,-41.756,-31.950,-3 tf_efficientnet_b8_ap,45.774,54.226,67.911,32.089,87.41,672,0.954,bicubic,-39.596,-29.383,-1
vit_large_patch16_384,43.253,56.747,66.453,33.547,304.72,384,1.000,bicubic,-41.917,-30.891,-3 tf_efficientnet_b5_ns,45.615,54.385,67.842,32.158,30.39,456,0.934,bicubic,-40.473,-29.910,-9
tf_efficientnet_b8,42.492,57.508,64.876,35.123,87.41,672,0.954,bicubic,-42.892,-32.524,-7 swin_base_patch4_window7_224,45.560,54.440,68.512,31.488,87.77,224,0.900,bicubic,-39.692,-29.050,-2
dm_nfnet_f6,41.600,58.400,63.181,36.819,438.36,576,0.956,bicubic,-44.706,-34.561,-15 vit_base_r50_s16_384,43.512,56.488,66.781,33.219,98.95,384,1.000,bicubic,-41.460,-30.507,+4
tf_efficientnet_b7_ap,41.451,58.549,62.894,37.106,66.35,600,0.949,bicubic,-43.673,-34.362,-4 tf_efficientnet_b4_ns,43.450,56.550,65.519,34.481,19.34,380,0.922,bicubic,-41.713,-31.951,-3
tf_efficientnet_b7,41.449,58.551,63.037,36.963,66.35,600,0.949,bicubic,-43.487,-34.171,-2 vit_large_patch16_384,43.300,56.700,66.454,33.546,304.72,384,1.000,bicubic,-41.858,-30.902,-3
tf_efficientnet_b5_ap,41.384,58.616,62.051,37.949,30.39,456,0.934,bicubic,-42.876,-34.923,+7 tf_efficientnet_b8,42.508,57.492,64.857,35.143,87.41,672,0.954,bicubic,-42.862,-32.533,-8
resnetv2_152x4_bitm,41.247,58.753,64.248,35.752,936.53,480,1.000,bilinear,-43.669,-33.196,-2 dm_nfnet_f6,41.593,58.407,63.192,36.808,438.36,576,0.956,bicubic,-44.704,-34.552,-16
tf_efficientnet_b6_ap,41.097,58.903,62.363,37.637,43.04,528,0.942,bicubic,-43.693,-34.773,-2 tf_efficientnet_b7,41.431,58.569,63.017,36.983,66.35,600,0.949,bicubic,-43.505,-34.186,0
dm_nfnet_f5,41.009,58.991,61.927,38.073,377.21,544,0.954,bicubic,-44.711,-35.509,-18 tf_efficientnet_b7_ap,41.429,58.571,62.874,37.126,66.35,600,0.949,bicubic,-43.691,-34.378,-6
dm_nfnet_f3,40.875,59.125,62.008,37.992,254.92,416,0.940,bicubic,-44.707,-35.383,-18 tf_efficientnet_b5_ap,41.418,58.582,62.084,37.916,30.39,456,0.934,bicubic,-42.834,-34.890,+7
vit_large_patch16_224,40.681,59.319,63.546,36.454,304.33,224,0.900,bicubic,-42.379,-32.878,+18 resnetv2_152x4_bitm,41.241,58.759,64.238,35.762,936.53,480,1.000,bilinear,-43.691,-33.198,-2
tf_efficientnet_b4_ap,40.533,59.467,61.673,38.327,19.34,380,0.922,bicubic,-42.691,-34.693,+15 tf_efficientnet_b6_ap,41.099,58.901,62.355,37.645,43.04,528,0.942,bicubic,-43.689,-34.783,-2
tf_efficientnet_b3_ns,39.675,60.325,61.473,38.527,12.23,300,0.904,bicubic,-44.337,-35.437,+4 dm_nfnet_f5,41.003,58.997,61.911,38.089,377.21,544,0.954,bicubic,-44.711,-35.531,-20
ecaresnet269d,39.594,60.406,60.308,39.692,102.09,352,1.000,bicubic,-45.332,-36.928,-10 dm_nfnet_f3,40.920,59.080,61.949,38.051,254.92,416,0.940,bicubic,-44.640,-35.457,-19
dm_nfnet_f4,39.439,60.561,60.410,39.590,316.07,512,0.951,bicubic,-46.287,-37.108,-25 vit_large_patch16_224,40.732,59.268,63.593,36.407,304.33,224,0.900,bicubic,-42.330,-32.845,+22
tf_efficientnet_b5,38.346,61.654,59.934,40.066,30.39,456,0.934,bicubic,-45.474,-36.826,+4 tf_efficientnet_b4_ap,40.484,59.516,61.723,38.277,19.34,380,0.922,bicubic,-42.764,-34.669,+17
vit_deit_base_distilled_patch16_384,38.244,61.756,57.853,42.147,87.63,384,1.000,bicubic,-47.178,-39.481,-23 ecaresnet269d,39.594,60.406,60.343,39.657,102.09,352,1.000,bicubic,-45.382,-36.883,-11
vit_base_patch16_384,38.142,61.858,60.439,39.561,86.86,384,1.000,bicubic,-46.070,-36.777,-4 tf_efficientnet_b3_ns,39.584,60.416,61.453,38.547,12.23,300,0.904,bicubic,-44.464,-35.457,+4
resnet152d,37.859,62.141,58.388,41.612,60.21,320,1.000,bicubic,-45.805,-38.338,+3 dm_nfnet_f4,39.474,60.526,60.420,39.580,316.07,512,0.951,bicubic,-46.184,-37.090,-25
resnet200d,37.478,62.522,58.284,41.716,64.69,320,1.000,bicubic,-46.522,-38.540,-2 tf_efficientnet_b5,38.356,61.644,59.913,40.087,30.39,456,0.934,bicubic,-45.456,-36.835,+6
resnest269e,37.293,62.707,57.443,42.557,110.93,416,0.928,bicubic,-47.225,-39.559,-13 vit_deit_base_distilled_patch16_384,38.260,61.740,57.783,42.217,87.63,384,1.000,bicubic,-47.162,-39.549,-24
tf_efficientnet_b3_ap,37.126,62.874,57.297,42.703,12.23,300,0.904,bicubic,-44.676,-38.303,+27 vit_base_patch16_384,38.099,61.901,60.428,39.572,86.86,384,1.000,bicubic,-46.111,-36.790,-4
resnetv2_152x2_bitm,36.837,63.163,59.866,40.134,236.34,480,1.000,bilinear,-47.591,-37.586,-14 resnet152d,37.857,62.143,58.356,41.644,60.21,320,1.000,bicubic,-45.823,-38.382,+6
seresnet152d,36.768,63.232,56.672,43.328,66.84,320,1.000,bicubic,-47.582,-40.370,-13 pit_b_distilled_224,37.590,62.410,57.238,42.762,74.79,224,0.900,bicubic,-46.554,-39.618,-4
efficientnet_b3a,36.432,63.568,56.788,43.212,12.23,320,1.000,bicubic,-45.800,-39.338,+15 resnet200d,37.505,62.495,58.297,41.703,64.69,320,1.000,bicubic,-46.457,-38.526,-1
vit_deit_base_distilled_patch16_224,36.373,63.627,56.588,43.412,87.34,224,0.900,bicubic,-46.999,-39.916,-2 resnest269e,37.315,62.685,57.468,42.532,110.93,416,0.928,bicubic,-47.203,-39.518,-14
dm_nfnet_f2,36.269,63.731,55.882,44.118,193.78,352,0.920,bicubic,-48.699,-41.242,-25 efficientnet_v2s,37.130,62.870,56.486,43.514,23.94,224,1.000,bicubic,-44.940,-39.468,+30
tf_efficientnet_b2_ns,36.218,63.782,57.517,42.483,9.11,260,0.890,bicubic,-46.148,-38.743,+9 tf_efficientnet_b3_ap,37.055,62.945,57.240,42.760,12.23,300,0.904,bicubic,-44.767,-38.384,+34
efficientnet_b3,36.039,63.961,56.350,43.650,12.23,300,0.904,bicubic,-45.993,-39.686,+16 resnetv2_152x2_bitm,36.847,63.153,59.899,40.101,236.34,480,1.000,bilinear,-47.593,-37.547,-16
ecaresnet101d,36.010,63.990,56.132,43.868,44.57,224,0.875,bicubic,-46.108,-39.908,+14 seresnet152d,36.790,63.210,56.718,43.282,66.84,320,1.000,bicubic,-47.572,-40.322,-15
resnest200e,35.888,64.112,55.880,44.120,70.20,320,0.909,bicubic,-47.952,-40.978,-12 efficientnet_b3a,36.420,63.580,56.845,43.155,12.23,320,1.000,bicubic,-45.822,-39.269,+21
swsl_resnet18,35.809,64.191,58.380,41.620,11.69,224,0.875,bilinear,-37.509,-33.372,+237 vit_deit_base_distilled_patch16_224,36.397,63.603,56.617,43.383,87.34,224,0.900,bicubic,-46.991,-39.871,-2
vit_base_patch16_224,35.691,64.309,57.390,42.610,86.57,224,0.900,bicubic,-46.089,-38.722,+17 dm_nfnet_f2,36.257,63.743,55.847,44.153,193.78,352,0.920,bicubic,-48.733,-41.297,-28
resnest101e,35.369,64.631,55.835,44.165,48.28,256,0.875,bilinear,-47.455,-40.475,-1 tf_efficientnet_b2_ns,36.183,63.817,57.551,42.449,9.11,260,0.890,bicubic,-46.197,-38.697,+15
resnetv2_101x3_bitm,35.230,64.770,57.863,42.137,387.93,480,1.000,bilinear,-49.162,-39.495,-25 efficientnet_b3,36.037,63.963,56.370,43.630,12.23,300,0.904,bicubic,-46.039,-39.650,+21
dm_nfnet_f1,35.198,64.802,54.375,45.625,132.63,320,0.910,bicubic,-49.396,-42.705,-29 ecaresnet101d,36.004,63.996,56.165,43.835,44.57,224,0.875,bicubic,-46.168,-39.881,+19
repvgg_b3g4,35.043,64.957,54.774,45.226,83.83,224,0.875,bilinear,-45.195,-40.294,+64 resnest200e,35.931,64.069,55.849,44.151,70.20,320,0.909,bicubic,-47.901,-41.045,-12
repvgg_b3,34.980,65.020,54.576,45.424,123.09,224,0.875,bilinear,-45.460,-40.618,+49 swsl_resnet18,35.858,64.142,58.455,41.545,11.69,224,0.875,bilinear,-37.418,-33.279,+259
resnet101d,34.878,65.122,54.210,45.790,44.57,320,1.000,bicubic,-48.122,-42.250,-8 eca_nfnet_l1,35.856,64.144,55.955,44.045,41.41,320,1.000,bicubic,-48.151,-41.073,-16
vit_large_patch32_384,34.660,65.340,55.674,44.326,306.63,384,1.000,bicubic,-46.846,-40.434,+17 vit_base_patch16_224,35.768,64.232,57.390,42.610,86.57,224,0.900,bicubic,-46.018,-38.732,+23
dm_nfnet_f0,34.652,65.348,54.747,45.253,71.49,256,0.900,bicubic,-48.718,-41.811,-16 resnest101e,35.373,64.627,55.780,44.220,48.28,256,0.875,bilinear,-47.517,-40.540,0
ssl_resnext101_32x16d,34.628,65.372,55.955,44.045,194.03,224,0.875,bilinear,-47.218,-40.177,+6 resnetv2_101x3_bitm,35.261,64.739,57.851,42.149,387.93,480,1.000,bilinear,-49.133,-39.511,-28
repvgg_b2g4,34.618,65.382,54.786,45.214,61.76,224,0.875,bilinear,-44.785,-39.920,+93 dm_nfnet_f1,35.192,64.808,54.413,45.587,132.63,320,0.910,bicubic,-49.412,-42.655,-32
regnety_032,34.447,65.552,54.304,45.696,19.44,224,0.875,bicubic,-47.569,-41.628,+2 repvgg_b3,35.043,64.957,54.542,45.458,123.09,224,0.875,bilinear,-45.449,-40.718,+57
resnest50d_4s2x40d,34.381,65.619,54.737,45.263,30.42,224,0.875,bicubic,-46.767,-40.815,+21 repvgg_b3g4,35.043,64.957,54.772,45.228,83.83,224,0.875,bilinear,-45.169,-40.338,+74
tf_efficientnet_b1_ns,34.131,65.869,55.472,44.528,7.79,240,0.882,bicubic,-47.267,-40.258,+13 resnet101d,34.872,65.128,54.202,45.798,44.57,320,1.000,bicubic,-48.150,-42.244,-7
tf_efficientnet_b4,34.088,65.912,54.269,45.731,19.34,380,0.922,bicubic,-48.886,-42.023,-15 vit_large_patch32_384,34.673,65.326,55.729,44.271,306.63,384,1.000,bicubic,-46.833,-40.363,+24
efficientnet_b3_pruned,34.033,65.967,54.051,45.949,9.86,300,0.904,bicubic,-46.787,-41.173,+27 dm_nfnet_f0,34.642,65.358,54.762,45.238,71.49,256,0.900,bicubic,-48.700,-41.798,-16
tf_efficientnet_b6,33.976,66.024,54.534,45.466,43.04,528,0.942,bicubic,-50.146,-42.356,-33 ssl_resnext101_32x16d,34.605,65.395,55.931,44.069,194.03,224,0.875,bilinear,-47.239,-40.165,+12
ssl_resnext101_32x8d,33.968,66.032,55.560,44.440,88.79,224,0.875,bilinear,-47.632,-40.462,+5 repvgg_b2g4,34.587,65.413,54.782,45.218,61.76,224,0.875,bilinear,-44.779,-39.906,+103
gernet_l,33.329,66.671,51.840,48.160,31.08,256,0.875,bilinear,-48.015,-43.700,+9 resnest50d_4s2x40d,34.355,65.645,54.725,45.275,30.42,224,0.875,bicubic,-46.753,-40.833,+32
tresnet_xl,33.257,66.743,52.288,47.712,78.44,224,0.875,bilinear,-48.909,-43.646,-9 tf_efficientnet_b1_ns,34.157,65.843,55.489,44.511,7.79,240,0.882,bicubic,-47.231,-40.249,+22
resnest50d_1s4x24d,33.178,66.822,52.815,47.185,25.68,224,0.875,bicubic,-47.760,-42.503,+18 tf_efficientnet_b4,34.064,65.936,54.198,45.802,19.34,380,0.922,bicubic,-48.958,-42.102,-13
rexnet_200,32.978,67.022,52.886,47.114,16.37,224,0.875,bicubic,-48.710,-42.804,-2 nfnet_l0,34.029,65.971,54.418,45.582,35.07,288,1.000,bicubic,-48.731,-42.080,-11
resnest50d,32.948,67.052,52.581,47.419,27.48,224,0.875,bilinear,-48.022,-42.769,+15 ssl_resnext101_32x8d,34.017,65.983,55.601,44.399,88.79,224,0.875,bilinear,-47.599,-40.437,+13
tf_efficientnet_b3,32.870,67.130,52.917,47.083,12.23,300,0.904,bicubic,-48.756,-42.789,-2 tf_efficientnet_b6,33.998,66.002,54.544,45.456,43.04,528,0.942,bicubic,-50.112,-42.342,-35
pnasnet5large,32.848,67.152,50.457,49.543,86.06,331,0.911,bicubic,-49.938,-45.619,-23 efficientnet_b3_pruned,33.996,66.004,54.108,45.892,9.86,300,0.904,bicubic,-46.862,-41.134,+34
nasnetalarge,32.764,67.237,50.091,49.909,88.75,331,0.911,bicubic,-49.877,-45.961,-22 regnety_160,33.976,66.024,53.546,46.454,83.59,288,1.000,bicubic,-49.710,-43.230,-30
inception_resnet_v2,32.750,67.250,50.645,49.355,55.84,299,0.897,bicubic,-47.698,-44.647,+27 pit_s_distilled_224,33.939,66.061,53.265,46.735,24.04,224,0.900,bicubic,-48.057,-42.533,+1
gernet_m,32.695,67.305,51.927,48.073,21.14,224,0.875,bilinear,-48.035,-43.285,+17 regnety_032,33.412,66.588,52.754,47.246,19.44,288,1.000,bicubic,-49.312,-43.670,-16
gluon_resnet152_v1d,32.657,67.343,51.025,48.975,60.21,224,0.875,bicubic,-47.823,-44.237,+23 gernet_l,33.357,66.643,51.901,48.099,31.08,256,0.875,bilinear,-47.997,-43.635,+15
tf_efficientnet_b2_ap,32.655,67.345,52.219,47.781,9.11,260,0.890,bicubic,-47.585,-42.764,+38 tresnet_xl,33.257,66.743,52.294,47.706,78.44,224,0.875,bilinear,-48.797,-43.642,-4
tresnet_l,32.581,67.419,51.151,48.849,55.99,224,0.875,bilinear,-48.909,-44.434,-5 resnest50d_1s4x24d,33.147,66.853,52.839,47.161,25.68,224,0.875,bicubic,-47.841,-42.483,+23
vit_base_patch32_384,32.547,67.453,52.438,47.562,88.30,384,1.000,bicubic,-49.117,-43.690,-11 rexnet_200,32.987,67.013,52.939,47.061,16.37,224,0.875,bicubic,-48.645,-42.729,+3
wide_resnet50_2,32.431,67.569,51.534,48.466,68.88,224,0.875,bicubic,-48.875,-44.054,-3 resnest50d,32.972,67.028,52.713,47.287,27.48,224,0.875,bilinear,-48.002,-42.665,+22
ens_adv_inception_resnet_v2,32.408,67.592,50.435,49.565,55.84,299,0.897,bicubic,-47.522,-44.515,+46 tf_efficientnet_b3,32.860,67.140,52.950,47.050,12.23,300,0.904,bicubic,-48.776,-42.768,0
resnetv2_50x3_bitm,32.384,67.616,54.271,45.729,217.32,480,1.000,bilinear,-51.416,-42.839,-46 pnasnet5large,32.848,67.152,50.500,49.500,86.06,331,0.911,bicubic,-49.934,-45.540,-25
vit_deit_base_patch16_224,32.355,67.645,50.986,49.014,86.57,224,0.900,bicubic,-49.639,-44.752,-21 nasnetalarge,32.775,67.225,50.141,49.859,88.75,331,0.911,bicubic,-49.845,-45.906,-22
gluon_resnet152_v1s,32.309,67.691,50.547,49.453,60.32,224,0.875,bicubic,-48.710,-44.879,0 gernet_m,32.740,67.260,51.913,48.087,21.14,224,0.875,bilinear,-47.992,-43.271,+26
vit_deit_small_distilled_patch16_224,32.292,67.708,52.119,47.881,22.44,224,0.900,bicubic,-48.958,-43.277,-6 inception_resnet_v2,32.738,67.262,50.648,49.352,55.84,299,0.897,bicubic,-47.720,-44.658,+35
gluon_seresnext101_64x4d,32.239,67.761,50.359,49.641,88.23,224,0.875,bicubic,-48.613,-44.977,+3 gluon_resnet152_v1d,32.734,67.266,51.088,48.912,60.21,224,0.875,bicubic,-47.740,-44.118,+32
gluon_seresnext101_32x4d,32.062,67.938,51.288,48.712,48.96,224,0.875,bicubic,-48.816,-43.986,+1 pit_b_224,32.718,67.282,49.852,50.148,73.76,224,0.900,bicubic,-49.728,-45.858,-24
vit_deit_base_patch16_384,32.021,67.979,50.573,49.427,86.86,384,1.000,bicubic,-51.071,-45.779,-45 tf_efficientnet_b2_ap,32.681,67.319,52.239,47.761,9.11,260,0.890,bicubic,-47.619,-42.789,+41
seresnext50_32x4d,31.991,68.009,51.192,48.808,27.56,224,0.875,bicubic,-49.279,-44.464,-11 tresnet_l,32.559,67.441,51.139,48.861,55.99,224,0.875,bilinear,-48.931,-44.485,-2
cspresnext50,31.838,68.162,51.599,48.401,20.57,224,0.875,bilinear,-48.168,-43.333,+35 vit_base_patch32_384,32.461,67.539,52.444,47.556,88.30,384,1.000,bicubic,-49.191,-43.684,-10
resnet50,31.518,68.482,50.184,49.816,25.56,224,0.875,bicubic,-47.486,-44.208,+81 wide_resnet50_2,32.439,67.561,51.459,48.541,68.88,224,0.875,bicubic,-49.017,-44.073,-3
ssl_resnext101_32x4d,31.353,68.647,52.070,47.930,44.18,224,0.875,bilinear,-49.671,-43.678,-9 resnetv2_50x3_bitm,32.410,67.590,54.314,45.686,217.32,480,1.000,bilinear,-51.374,-42.792,-50
rexnet_150,31.327,68.673,51.223,48.777,9.73,224,0.875,bicubic,-49.023,-43.979,+14 ens_adv_inception_resnet_v2,32.370,67.629,50.427,49.573,55.84,299,0.897,bicubic,-47.611,-44.509,+50
cspresnet50,31.299,68.701,51.198,48.802,21.62,256,0.887,bilinear,-48.282,-43.514,+51 vit_deit_base_patch16_224,32.363,67.637,51.011,48.989,86.57,224,0.900,bicubic,-49.635,-44.723,-20
inception_v4,31.294,68.706,49.244,50.756,42.68,299,0.875,bicubic,-48.860,-45.718,+24 swin_small_patch4_window7_224,32.341,67.659,50.905,49.095,49.61,224,0.900,bicubic,-50.871,-45.417,-45
ecaresnetlight,31.123,68.877,50.221,49.779,30.16,224,0.875,bicubic,-49.337,-44.981,+4 gluon_resnet152_v1s,32.331,67.669,50.526,49.474,60.32,224,0.875,bicubic,-48.685,-44.886,+4
ecaresnet50d,31.097,68.903,50.811,49.189,25.58,224,0.875,bicubic,-49.517,-44.503,-1 vit_deit_small_distilled_patch16_224,32.284,67.716,52.102,47.898,22.44,224,0.900,bicubic,-48.916,-43.276,-1
resnet50d,31.072,68.928,49.820,50.180,25.58,224,0.875,bicubic,-49.421,-45.308,0 gluon_seresnext101_64x4d,32.205,67.795,50.319,49.681,88.23,224,0.875,bicubic,-48.689,-44.989,+7
ecaresnet50t,31.064,68.936,50.681,49.319,25.57,320,0.950,bicubic,-51.284,-45.463,-46 gluon_seresnext101_32x4d,32.107,67.893,51.237,48.763,48.96,224,0.875,bicubic,-48.797,-44.057,+5
gluon_resnet101_v1s,31.056,68.944,49.789,50.211,44.67,224,0.875,bicubic,-49.240,-45.387,+11 vit_deit_base_patch16_384,31.989,68.011,50.547,49.453,86.86,384,1.000,bicubic,-51.117,-45.825,-49
tf_efficientnet_cc_b0_8e,31.052,68.948,50.795,49.205,24.01,224,0.875,bicubic,-46.874,-42.803,+108 seresnext50_32x4d,31.985,68.015,51.231,48.769,27.56,224,0.875,bicubic,-49.281,-44.389,-7
cspdarknet53,31.020,68.980,50.423,49.577,27.64,256,0.887,bilinear,-49.029,-44.652,+20 cspresnext50,31.822,68.178,51.602,48.398,20.57,224,0.875,bilinear,-48.218,-43.342,+39
gluon_resnet152_v1c,31.020,68.980,48.934,51.066,60.21,224,0.875,bicubic,-48.829,-45.956,+29 eca_nfnet_l0,31.657,68.343,51.654,48.346,24.14,288,1.000,bicubic,-50.931,-44.820,-41
tresnet_m,30.942,69.058,48.682,51.318,31.39,224,0.875,bilinear,-49.778,-46.174,-11 tnt_s_patch16_224,31.643,68.357,51.143,48.857,23.76,224,0.900,bicubic,-49.875,-44.605,-19
gluon_resnext101_64x4d,30.916,69.084,48.529,51.471,83.46,224,0.875,bicubic,-49.720,-46.461,-10 resnet50,31.547,68.453,50.170,49.830,25.56,224,0.875,bicubic,-47.491,-44.220,+85
tf_efficientnet_cc_b1_8e,30.895,69.105,50.060,49.940,39.72,240,0.882,bicubic,-48.393,-44.298,+50 ssl_resnext101_32x4d,31.423,68.577,52.121,47.879,44.18,224,0.875,bilinear,-49.501,-43.607,-3
ecaresnet101d_pruned,30.871,69.129,49.968,50.032,24.88,224,0.875,bicubic,-50.015,-45.604,-20 inception_v4,31.378,68.622,49.244,50.756,42.68,299,0.875,bicubic,-48.790,-45.724,+29
gluon_resnext101_32x4d,30.859,69.141,48.584,51.416,44.18,224,0.875,bicubic,-49.359,-46.324,+9 rexnet_150,31.366,68.634,51.288,48.712,9.73,224,0.875,bicubic,-48.944,-43.878,+18
nf_resnet50,30.761,69.239,50.040,49.960,25.56,288,0.940,bicubic,-49.905,-45.318,-15 pit_s_224,31.333,68.667,49.661,50.339,23.46,224,0.900,bicubic,-49.761,-45.671,-10
tf_efficientnet_lite4,30.735,69.264,50.262,49.738,13.01,380,0.920,bilinear,-50.781,-45.362,-39 cspresnet50,31.270,68.730,51.223,48.777,21.62,256,0.887,bilinear,-48.304,-43.489,+52
dpn107,30.627,69.373,48.842,51.158,86.92,224,0.875,bicubic,-49.553,-46.064,+7 ecaresnetlight,31.121,68.879,50.243,49.757,30.16,224,0.875,bicubic,-49.341,-45.007,+8
ese_vovnet39b,30.625,69.374,49.924,50.076,24.57,224,0.875,bicubic,-48.581,-44.804,+51 gluon_resnet101_v1s,31.115,68.885,49.793,50.207,44.67,224,0.875,bicubic,-49.187,-45.367,+15
gluon_resnet152_v1b,30.612,69.388,48.535,51.465,60.19,224,0.875,bicubic,-49.022,-46.223,+30 tf_efficientnet_cc_b0_8e,31.087,68.913,50.761,49.239,24.01,224,0.875,bicubic,-46.821,-42.892,+118
tresnet_xl_448,30.602,69.398,49.087,50.913,78.44,448,0.875,bilinear,-52.440,-47.095,-69 ecaresnet50d,31.058,68.942,50.848,49.152,25.58,224,0.875,bicubic,-49.534,-44.472,0
ssl_resnext50_32x4d,30.600,69.400,50.642,49.358,25.03,224,0.875,bilinear,-49.732,-44.740,-7 ecaresnet50t,31.058,68.942,50.577,49.423,25.57,320,0.950,bicubic,-51.288,-45.561,-50
gluon_resnet101_v1d,30.561,69.439,47.985,52.015,44.57,224,0.875,bicubic,-49.869,-47.029,-13 resnet50d,31.020,68.980,49.808,50.192,25.58,224,0.875,bicubic,-49.510,-45.352,-1
dpn68b,30.527,69.473,49.170,50.830,12.61,224,0.875,bicubic,-48.613,-45.254,+48 cspdarknet53,31.018,68.981,50.390,49.610,27.64,256,0.887,bilinear,-49.040,-44.694,+23
resnest26d,30.514,69.487,50.640,49.360,17.07,224,0.875,bilinear,-47.926,-43.656,+75 tresnet_m,30.997,69.003,48.682,51.318,31.39,224,0.875,bilinear,-49.805,-46.178,-9
efficientnet_b2a,30.409,69.591,49.712,50.288,9.11,288,1.000,bicubic,-50.199,-45.586,-22 gluon_resnet152_v1c,30.991,69.009,48.924,51.076,60.21,224,0.875,bicubic,-48.919,-45.916,+27
tf_efficientnet_b1_ap,30.390,69.610,49.545,50.455,7.79,240,0.882,bicubic,-48.900,-44.781,+35 gluon_resnext101_64x4d,30.987,69.013,48.549,51.451,83.46,224,0.875,bicubic,-49.617,-46.439,-7
seresnet50,30.087,69.913,49.297,50.703,28.09,224,0.875,bicubic,-50.205,-45.751,-9 tf_efficientnet_cc_b1_8e,30.899,69.101,50.080,49.920,39.72,240,0.882,bicubic,-48.409,-44.290,+51
legacy_senet154,30.048,69.952,48.006,51.994,115.09,224,0.875,bilinear,-51.274,-47.448,-46 ecaresnet101d_pruned,30.897,69.103,50.013,49.987,24.88,224,0.875,bicubic,-49.919,-45.615,-15
dpn98,30.040,69.960,48.185,51.815,61.57,224,0.875,bicubic,-49.648,-46.459,+17 gluon_resnext101_32x4d,30.877,69.123,48.537,51.463,44.18,224,0.875,bicubic,-49.457,-46.389,+1
tf_efficientnet_b2,30.001,69.999,49.559,50.441,9.11,260,0.890,bicubic,-50.023,-45.385,0 tf_efficientnet_lite4,30.830,69.170,50.386,49.614,13.01,380,0.920,bilinear,-50.706,-45.282,-40
dpn131,29.999,70.001,48.118,51.882,79.25,224,0.875,bicubic,-49.867,-46.608,+6 nf_resnet50,30.775,69.225,50.074,49.926,25.56,288,0.940,bicubic,-49.919,-45.282,-14
dpn92,29.912,70.088,49.064,50.936,37.67,224,0.875,bicubic,-50.122,-45.754,-3 dpn107,30.678,69.322,48.810,51.190,86.92,224,0.875,bicubic,-49.478,-45.832,+12
gluon_senet154,29.843,70.157,47.851,52.149,115.09,224,0.875,bicubic,-51.373,-47.469,-47 ese_vovnet39b,30.657,69.343,49.875,50.125,24.57,224,0.875,bicubic,-48.663,-44.837,+43
gluon_xception65,29.834,70.166,47.755,52.245,39.92,299,0.903,bicubic,-49.922,-47.097,+9 gluon_resnet152_v1b,30.623,69.376,48.521,51.479,60.19,224,0.875,bicubic,-49.063,-46.215,+30
xception,29.814,70.186,48.678,51.322,22.86,299,0.897,bicubic,-49.214,-45.692,+42 tresnet_xl_448,30.614,69.386,49.069,50.931,78.44,448,0.875,bilinear,-52.436,-47.105,-76
adv_inception_v3,29.804,70.196,47.881,52.119,23.83,299,0.875,bicubic,-47.758,-45.805,+90 ssl_resnext50_32x4d,30.594,69.406,50.657,49.343,25.03,224,0.875,bilinear,-49.724,-44.749,-5
resnetblur50,29.657,70.343,48.201,51.799,25.56,224,0.875,bicubic,-49.605,-46.421,+26 gluon_resnet101_v1d,30.523,69.477,47.950,52.050,44.57,224,0.875,bicubic,-49.891,-47.064,-10
efficientnet_b2,29.641,70.359,48.751,51.249,9.11,260,0.875,bicubic,-50.673,-46.361,-23 dpn68b,30.517,69.483,49.162,50.838,12.61,224,0.875,bicubic,-48.699,-45.252,+50
vit_deit_small_patch16_224,29.468,70.532,48.262,51.738,22.05,224,0.900,bicubic,-50.400,-46.780,-3 resnest26d,30.490,69.510,50.677,49.323,17.07,224,0.875,bilinear,-47.988,-43.621,+75
efficientnet_em,29.460,70.540,48.916,51.084,6.90,240,0.882,bicubic,-49.770,-45.876,+26 efficientnet_b2a,30.435,69.565,49.698,50.302,9.11,288,1.000,bicubic,-50.177,-45.620,-22
nf_regnet_b1,29.445,70.555,49.439,50.561,10.22,288,0.900,bicubic,-49.879,-45.333,+18 tf_efficientnet_b1_ap,30.421,69.579,49.553,50.447,7.79,240,0.882,bicubic,-48.859,-44.753,+43
ssl_resnet50,29.439,70.561,49.852,50.148,25.56,224,0.875,bilinear,-49.801,-45.062,+21 pit_xs_distilled_224,30.278,69.722,49.836,50.164,11.00,224,0.900,bicubic,-49.028,-44.528,+39
resnext101_32x8d,29.439,70.561,48.500,51.500,88.79,224,0.875,bilinear,-49.771,-46.056,+26 seresnet50,30.077,69.923,49.292,50.708,28.09,224,0.875,bicubic,-50.197,-45.778,-7
resnext50_32x4d,29.352,70.648,47.331,52.669,25.03,224,0.875,bicubic,-50.370,-47.275,+1 dpn98,30.067,69.933,48.244,51.756,61.57,224,0.875,bicubic,-49.575,-46.354,+22
resnet34d,29.331,70.669,48.395,51.605,21.82,224,0.875,bicubic,-47.766,-45.029,+95 tf_efficientnet_b2,30.026,69.974,49.581,50.419,9.11,260,0.890,bicubic,-50.060,-45.328,0
ecaresnet50d_pruned,29.201,70.799,48.517,51.483,19.94,224,0.875,bicubic,-50.475,-46.405,+2 dpn131,30.024,69.976,48.146,51.854,79.25,224,0.875,bicubic,-49.798,-46.564,+12
tresnet_l_448,29.140,70.860,47.252,52.748,55.99,448,0.875,bilinear,-53.150,-48.726,-87 efficientnet_el,30.018,69.982,48.834,51.166,10.59,300,0.904,bicubic,-51.298,-46.692,-49
gluon_inception_v3,29.108,70.891,46.941,53.059,23.83,299,0.875,bicubic,-49.721,-47.457,+37 legacy_senet154,30.001,69.999,48.034,51.966,115.09,224,0.875,bilinear,-51.309,-47.462,-49
hrnet_w64,28.985,71.015,47.128,52.872,128.06,224,0.875,bilinear,-50.503,-47.510,+6 dpn92,29.953,70.047,49.162,50.838,37.67,224,0.875,bicubic,-50.055,-45.676,-1
xception71,28.979,71.021,47.433,52.567,42.34,299,0.903,bicubic,-50.867,-47.503,-11 gluon_senet154,29.877,70.123,47.894,52.106,115.09,224,0.875,bicubic,-51.357,-47.454,-49
tf_efficientnet_b0_ns,28.932,71.068,49.038,50.962,5.29,224,0.875,bicubic,-49.668,-45.350,+41 xception,29.865,70.135,48.686,51.314,22.86,299,0.897,bicubic,-49.187,-45.706,+44
resnetv2_101x1_bitm,28.881,71.120,49.571,50.429,44.54,480,1.000,bilinear,-53.328,-46.889,-90 adv_inception_v3,29.816,70.184,47.847,52.153,23.83,299,0.875,bicubic,-47.766,-45.889,+96
tf_efficientnet_b1,28.867,71.133,47.495,52.505,7.79,240,0.882,bicubic,-49.965,-46.711,+31 gluon_xception65,29.784,70.216,47.755,52.245,39.92,299,0.903,bicubic,-49.932,-47.105,+10
xception65,28.857,71.143,47.187,52.813,39.92,299,0.903,bicubic,-50.735,-47.471,-4 resnetblur50,29.625,70.375,48.248,51.752,25.56,224,0.875,bicubic,-49.661,-46.390,+29
gluon_resnet101_v1b,28.839,71.161,46.395,53.605,44.55,224,0.875,bicubic,-50.521,-48.113,+3 efficientnet_b2,29.615,70.385,48.777,51.223,9.11,260,0.875,bicubic,-50.777,-46.299,-27
skresnext50_32x4d,28.806,71.194,46.486,53.514,27.48,224,0.875,bicubic,-51.348,-48.216,-30 efficientnet_em,29.486,70.514,48.946,51.054,6.90,240,0.882,bicubic,-49.766,-45.848,+29
skresnet34,28.662,71.338,47.965,52.035,22.28,224,0.875,bicubic,-48.248,-45.307,+88 resnext101_32x8d,29.439,70.561,48.486,51.514,88.79,224,0.875,bilinear,-49.869,-46.032,+20
tf_efficientnet_lite3,28.649,71.351,47.309,52.691,8.20,300,0.904,bilinear,-51.109,-47.555,-16 ssl_resnet50,29.423,70.577,49.781,50.219,25.56,224,0.875,bilinear,-49.799,-45.051,+28
hrnet_w40,28.615,71.385,47.429,52.571,57.56,224,0.875,bilinear,-50.291,-47.005,+22 vit_deit_small_patch16_224,29.421,70.579,48.256,51.744,22.05,224,0.900,bicubic,-50.435,-46.796,-3
gluon_seresnext50_32x4d,28.576,71.424,46.348,53.652,27.56,224,0.875,bicubic,-51.372,-48.488,-28 nf_regnet_b1,29.397,70.603,49.445,50.555,10.22,288,0.900,bicubic,-49.909,-45.303,+20
tv_resnet152,28.570,71.430,47.110,52.890,60.19,224,0.875,bilinear,-49.680,-46.872,+43 swin_tiny_patch4_window7_224,29.334,70.666,47.602,52.398,28.29,224,0.900,bicubic,-52.044,-47.938,-65
repvgg_b2,28.399,71.601,47.036,52.964,89.02,224,0.875,bilinear,-50.483,-47.310,+21 resnext50_32x4d,29.331,70.669,47.397,52.603,25.03,224,0.875,bicubic,-50.438,-47.201,-2
tf_efficientnet_b0_ap,28.391,71.609,47.578,52.422,5.29,224,0.875,bicubic,-48.681,-45.684,+78 resnet34d,29.328,70.671,48.409,51.591,21.82,224,0.875,bicubic,-47.788,-44.973,+98
gluon_resnext50_32x4d,28.381,71.619,45.285,54.715,25.03,224,0.875,bicubic,-50.939,-49.215,-4 ecaresnet50d_pruned,29.215,70.785,48.453,51.547,19.94,224,0.875,bicubic,-50.501,-46.427,-2
hrnet_w48,28.360,71.640,47.490,52.510,77.47,224,0.875,bilinear,-50.876,-47.032,0 tresnet_l_448,29.165,70.835,47.232,52.768,55.99,448,0.875,bilinear,-53.103,-48.744,-93
dla102x2,28.334,71.666,46.802,53.198,41.28,224,0.875,bilinear,-51.094,-47.826,-10 gluon_inception_v3,29.122,70.878,46.957,53.043,23.83,299,0.875,bicubic,-49.684,-47.413,+36
efficientnet_b2_pruned,28.322,71.678,46.994,53.006,8.31,260,0.890,bicubic,-51.510,-47.812,-26 xception71,29.047,70.953,47.405,52.595,42.34,299,0.903,bicubic,-50.826,-47.517,-13
dla169,28.309,71.691,47.331,52.669,53.39,224,0.875,bilinear,-50.423,-47.004,+20 hrnet_w64,28.989,71.011,47.142,52.858,128.06,224,0.875,bilinear,-50.485,-47.510,+4
tf_efficientnet_cc_b0_4e,28.295,71.705,47.350,52.650,13.31,224,0.875,bicubic,-49.001,-46.010,+67 resnetv2_101x1_bitm,28.910,71.090,49.502,50.498,44.54,480,1.000,bilinear,-53.302,-46.970,-95
mixnet_xl,28.264,71.737,46.737,53.263,11.90,224,0.875,bicubic,-52.161,-48.151,-60 tf_efficientnet_b0_ns,28.902,71.098,49.011,50.989,5.29,224,0.875,bicubic,-49.756,-45.365,+39
gluon_resnet50_v1d,28.203,71.797,45.896,54.104,25.58,224,0.875,bicubic,-50.869,-48.582,+5 xception65,28.896,71.104,47.167,52.833,39.92,299,0.903,bicubic,-50.656,-47.487,-2
densenet161,28.138,71.862,46.623,53.377,28.68,224,0.875,bicubic,-49.200,-47.065,+60 tf_efficientnet_b1,28.886,71.114,47.503,52.497,7.79,240,0.882,bicubic,-49.940,-46.695,+29
wide_resnet101_2,28.100,71.900,46.497,53.503,126.89,224,0.875,bilinear,-50.810,-47.847,+7 gluon_resnet101_v1b,28.878,71.121,46.389,53.611,44.55,224,0.875,bicubic,-50.427,-48.135,+6
gluon_resnet101_v1c,28.093,71.907,45.943,54.057,44.57,224,0.875,bicubic,-51.457,-48.699,-21 skresnext50_32x4d,28.818,71.182,46.497,53.503,27.48,224,0.875,bicubic,-51.338,-48.413,-31
regnetx_320,28.079,71.921,45.165,54.835,107.81,224,0.875,bicubic,-52.235,-49.903,-59 tf_efficientnet_lite3,28.660,71.340,47.354,52.646,8.20,300,0.904,bilinear,-51.160,-47.560,-16
regnety_320,28.041,71.959,45.456,54.544,145.05,224,0.875,bicubic,-52.741,-49.806,-79 gluon_seresnext50_32x4d,28.651,71.349,46.436,53.564,27.56,224,0.875,bicubic,-51.267,-48.386,-26
gernet_s,28.018,71.982,46.654,53.346,8.17,224,0.875,bilinear,-48.856,-46.474,+69 skresnet34,28.645,71.355,47.953,52.047,22.28,224,0.875,bicubic,-48.267,-45.369,+92
xception41,27.894,72.106,45.977,54.023,26.97,299,0.903,bicubic,-50.602,-48.279,+18 hrnet_w40,28.641,71.359,47.454,52.546,57.56,224,0.875,bilinear,-50.279,-47.016,+20
regnetx_160,27.859,72.141,45.605,54.395,54.28,224,0.875,bicubic,-52.025,-49.221,-44 tv_resnet152,28.533,71.467,47.118,52.882,60.19,224,0.875,bilinear,-49.779,-46.920,+42
tf_inception_v3,27.764,72.236,45.786,54.214,23.83,299,0.875,bicubic,-50.040,-47.938,+40 repvgg_b2,28.427,71.573,47.038,52.962,89.02,224,0.875,bilinear,-50.365,-47.376,+23
res2net101_26w_4s,27.741,72.259,45.169,54.831,45.21,224,0.875,bilinear,-51.379,-49.263,-8 hrnet_w48,28.413,71.587,47.586,52.414,77.47,224,0.875,bilinear,-50.887,-46.926,+1
repvgg_b1,27.650,72.350,46.501,53.499,57.42,224,0.875,bilinear,-50.792,-47.657,+16 gluon_resnext50_32x4d,28.375,71.624,45.328,54.672,25.03,224,0.875,bicubic,-50.978,-49.098,-7
regnety_160,27.621,72.379,45.525,54.475,83.59,224,0.875,bicubic,-52.793,-49.455,-72 efficientnet_b2_pruned,28.362,71.638,47.051,52.949,8.31,260,0.890,bicubic,-51.554,-47.805,-32
hrnet_w44,27.603,72.397,45.839,54.161,67.06,224,0.875,bilinear,-51.283,-48.571,-2 tf_efficientnet_b0_ap,28.346,71.654,47.531,52.469,5.29,224,0.875,bicubic,-48.740,-45.725,+79
inception_v3,27.584,72.416,45.269,54.731,23.83,299,0.875,bicubic,-49.826,-48.205,+46 tf_efficientnet_cc_b0_4e,28.315,71.685,47.364,52.636,13.31,224,0.875,bicubic,-48.991,-45.970,+71
hrnet_w30,27.460,72.540,46.544,53.456,37.71,224,0.875,bilinear,-50.674,-47.648,+22 dla169,28.313,71.687,47.391,52.609,53.39,224,0.875,bilinear,-50.375,-46.945,+20
regnetx_080,27.377,72.623,44.959,55.041,39.57,224,0.875,bicubic,-51.797,-49.597,-17 dla102x2,28.313,71.687,46.761,53.239,41.28,224,0.875,bilinear,-51.135,-47.879,-13
hrnet_w32,27.367,72.633,45.975,54.025,41.23,224,0.875,bilinear,-51.057,-48.227,+12 mixnet_xl,28.287,71.713,46.702,53.298,11.90,224,0.875,bicubic,-52.189,-48.234,-65
gluon_resnet50_v1s,27.350,72.650,45.253,54.747,25.68,224,0.875,bicubic,-51.438,-48.987,-2 gluon_resnet50_v1d,28.246,71.754,45.878,54.122,25.58,224,0.875,bicubic,-50.828,-48.592,+4
densenetblur121d,27.289,72.711,46.387,53.613,8.00,224,0.875,bicubic,-49.185,-46.709,+65 wide_resnet101_2,28.108,71.892,46.401,53.599,126.89,224,0.875,bilinear,-50.748,-47.881,+10
regnety_064,27.269,72.731,44.855,55.145,30.58,224,0.875,bicubic,-52.467,-49.903,-47 gluon_resnet101_v1c,28.104,71.896,45.961,54.039,44.57,224,0.875,bicubic,-51.430,-48.617,-21
densenet201,27.259,72.741,46.230,53.770,20.01,224,0.875,bicubic,-50.061,-47.252,+42 regnetx_320,28.093,71.907,45.126,54.874,107.81,224,0.875,bicubic,-52.153,-49.900,-54
efficientnet_b1_pruned,27.157,72.843,45.823,54.177,6.33,240,0.882,bicubic,-51.117,-47.985,+10 densenet161,28.081,71.919,46.641,53.359,28.68,224,0.875,bicubic,-49.277,-46.997,+62
rexnet_130,27.092,72.908,45.900,54.100,7.56,224,0.875,bicubic,-52.424,-48.760,-40 regnety_320,28.059,71.941,45.444,54.556,145.05,224,0.875,bicubic,-52.753,-49.800,-80
vit_small_patch16_224,27.077,72.923,45.642,54.358,48.75,224,0.900,bicubic,-50.795,-47.749,+23 gernet_s,28.022,71.978,46.723,53.277,8.17,224,0.875,bilinear,-48.894,-46.409,+73
res2net50_26w_8s,27.061,72.939,44.469,55.531,48.40,224,0.875,bilinear,-52.069,-49.935,-24 efficientnet_el_pruned,28.016,71.984,46.790,53.210,10.59,300,0.904,bicubic,-52.284,-48.428,-62
tv_resnet101,27.000,73.000,45.177,54.823,44.55,224,0.875,bilinear,-50.314,-48.379,+38 xception41,27.888,72.112,45.890,54.110,26.97,299,0.903,bicubic,-50.628,-48.388,+14
dla102x,26.992,73.008,45.497,54.503,26.31,224,0.875,bilinear,-51.536,-48.709,-5 regnetx_160,27.817,72.183,45.617,54.383,54.28,224,0.875,bicubic,-52.039,-49.213,-43
resnext50d_32x4d,26.858,73.141,44.432,55.568,25.05,224,0.875,bicubic,-52.830,-50.412,-52 tf_inception_v3,27.780,72.220,45.721,54.279,23.83,299,0.875,bicubic,-50.078,-47.695,+42
densenet169,26.843,73.157,45.299,54.701,14.15,224,0.875,bicubic,-49.107,-47.695,+60 res2net101_26w_4s,27.768,72.232,45.179,54.821,45.21,224,0.875,bilinear,-51.430,-49.253,-10
legacy_seresnext101_32x4d,26.835,73.165,43.450,56.550,48.96,224,0.875,bilinear,-53.447,-51.575,-81 repvgg_b1,27.656,72.344,46.531,53.469,57.42,224,0.875,bilinear,-50.710,-47.567,+19
regnetx_064,26.835,73.165,44.921,55.079,26.21,224,0.875,bicubic,-52.243,-49.539,-27 hrnet_w44,27.621,72.379,45.837,54.163,67.06,224,0.875,bilinear,-51.275,-48.531,-3
regnetx_120,26.803,73.197,44.693,55.307,46.11,224,0.875,bicubic,-52.771,-49.999,-51 inception_v3,27.556,72.444,45.263,54.737,23.83,299,0.875,bicubic,-49.882,-48.213,+49
rexnet_100,26.778,73.222,45.363,54.637,4.80,224,0.875,bicubic,-51.108,-48.495,+13 pit_xs_224,27.491,72.509,45.900,54.100,10.62,224,0.900,bicubic,-50.691,-48.268,+22
regnety_120,26.758,73.242,44.475,55.525,51.82,224,0.875,bicubic,-53.616,-50.633,-93 regnetx_080,27.405,72.595,45.002,54.998,39.57,224,0.875,bicubic,-51.789,-49.558,-14
regnetx_032,26.688,73.312,45.234,54.766,15.30,224,0.875,bicubic,-51.460,-48.832,+1 hrnet_w30,27.381,72.619,46.554,53.446,37.71,224,0.875,bilinear,-50.825,-47.668,+19
legacy_seresnet152,26.656,73.344,44.025,55.975,66.82,224,0.875,bilinear,-51.988,-50.365,-18 hrnet_w32,27.369,72.631,45.994,54.006,41.23,224,0.875,bilinear,-51.081,-48.192,+9
dla60x,26.648,73.352,45.049,54.951,17.35,224,0.875,bilinear,-51.578,-48.939,-3 gluon_resnet50_v1s,27.326,72.674,45.222,54.778,25.68,224,0.875,bicubic,-51.384,-49.016,-3
densenet121,26.623,73.377,45.833,54.167,7.98,224,0.875,bicubic,-48.907,-46.783,+56 densenet201,27.265,72.735,46.222,53.778,20.01,224,0.875,bicubic,-50.021,-47.256,+48
res2net50_26w_6s,26.603,73.397,43.939,56.061,37.05,224,0.875,bilinear,-52.001,-50.225,-19 densenetblur121d,27.228,72.772,46.299,53.701,8.00,224,0.875,bicubic,-49.360,-46.893,+66
efficientnet_es,26.591,73.409,45.104,54.896,5.44,224,0.875,bicubic,-51.441,-48.796,+1 regnety_064,27.220,72.780,44.847,55.153,30.58,224,0.875,bicubic,-52.502,-49.921,-50
regnety_080,26.570,73.430,44.371,55.629,39.18,224,0.875,bicubic,-53.270,-50.477,-72 efficientnet_b1_pruned,27.181,72.819,45.872,54.128,6.33,240,0.882,bicubic,-51.055,-47.962,+12
repvgg_b1g4,26.544,73.456,45.090,54.910,39.97,224,0.875,bilinear,-50.996,-48.704,+14 rexnet_130,27.094,72.906,45.933,54.067,7.56,224,0.875,bicubic,-52.406,-48.749,-42
tf_efficientnet_b0,26.491,73.509,45.666,54.334,5.29,224,0.875,bicubic,-50.339,-47.606,+34 vit_small_patch16_224,27.086,72.914,45.701,54.299,48.75,224,0.900,bicubic,-50.772,-48.169,+25
res2net50_14w_8s,26.467,73.533,44.357,55.643,25.06,224,0.875,bilinear,-51.651,-49.479,-6 res2net50_26w_8s,27.078,72.921,44.428,55.572,48.40,224,0.875,bilinear,-52.119,-49.940,-26
gluon_resnet50_v1b,26.375,73.625,44.045,55.955,25.56,224,0.875,bicubic,-51.289,-49.629,+6 dla102x,27.061,72.939,45.475,54.525,26.31,224,0.875,bilinear,-51.449,-48.753,-4
tf_efficientnet_el,26.340,73.660,44.188,55.812,10.59,300,0.904,bicubic,-53.952,-50.932,-98 tv_resnet101,26.963,73.037,45.234,54.766,44.55,224,0.875,bilinear,-50.411,-48.306,+37
regnetx_040,26.232,73.768,44.404,55.596,22.12,224,0.875,bicubic,-52.262,-49.865,-21 resnext50d_32x4d,26.876,73.124,44.436,55.564,25.05,224,0.875,bicubic,-52.800,-50.430,-53
dpn68,26.122,73.878,44.226,55.774,12.61,224,0.875,bicubic,-50.256,-48.752,+37 regnetx_120,26.868,73.132,44.682,55.318,46.11,224,0.875,bicubic,-52.728,-50.056,-52
hrnet_w18,25.917,74.083,44.843,55.157,21.30,224,0.875,bilinear,-50.915,-48.561,+27 rexnet_100,26.831,73.169,45.369,54.631,4.80,224,0.875,bicubic,-51.027,-48.269,+20
regnety_040,25.915,74.085,43.860,56.140,20.65,224,0.875,bicubic,-53.301,-50.802,-54 densenet169,26.829,73.171,45.373,54.627,14.15,224,0.875,bicubic,-49.077,-47.653,+64
tresnet_m_448,25.856,74.144,42.883,57.117,31.39,448,0.875,bilinear,-55.836,-52.677,-150 legacy_seresnext101_32x4d,26.811,73.189,43.497,56.503,48.96,224,0.875,bilinear,-53.417,-51.521,-83
res2net50_26w_4s,25.839,74.161,43.141,56.859,25.70,224,0.875,bilinear,-52.127,-50.689,-10 regnety_120,26.788,73.212,44.454,55.546,51.82,224,0.875,bicubic,-53.578,-50.672,-94
resnet34,25.835,74.165,43.939,56.061,21.80,224,0.875,bilinear,-49.261,-48.307,+49 regnetx_064,26.784,73.216,44.927,55.073,26.21,224,0.875,bicubic,-52.288,-49.531,-30
gluon_resnet50_v1c,25.801,74.199,43.031,56.969,25.58,224,0.875,bicubic,-52.125,-50.975,-11 regnetx_032,26.703,73.297,45.236,54.764,15.30,224,0.875,bicubic,-51.469,-48.852,+2
selecsls60,25.793,74.207,44.011,55.989,30.67,224,0.875,bicubic,-52.121,-49.811,-10 legacy_seresnet152,26.676,73.324,43.947,56.053,66.82,224,0.875,bilinear,-51.984,-50.423,-18
dla60_res2net,25.650,74.350,43.611,56.389,20.85,224,0.875,bilinear,-52.872,-50.641,-33 densenet121,26.664,73.336,45.900,54.100,7.98,224,0.875,bicubic,-48.914,-46.752,+62
dla60_res2next,25.648,74.352,43.617,56.383,17.03,224,0.875,bilinear,-52.674,-50.573,-26 efficientnet_es,26.621,73.379,45.112,54.888,5.44,224,0.875,bicubic,-51.445,-48.814,+3
mixnet_l,25.558,74.442,43.508,56.492,7.33,224,0.875,bicubic,-53.374,-50.676,-50 res2net50_26w_6s,26.595,73.405,43.990,56.010,37.05,224,0.875,bilinear,-51.975,-50.134,-19
ecaresnet26t,25.556,74.444,43.595,56.405,16.01,320,0.950,bicubic,-54.328,-51.477,-96 repvgg_b1g4,26.579,73.421,45.084,54.916,39.97,224,0.875,bilinear,-51.015,-48.742,+17
tf_efficientnet_lite1,25.522,74.478,43.538,56.462,5.42,240,0.882,bicubic,-51.106,-49.710,+19 dla60x,26.552,73.448,45.023,54.977,17.35,224,0.875,bilinear,-51.694,-48.995,-9
efficientnet_b1,25.497,74.503,43.267,56.733,7.79,240,0.875,bicubic,-53.107,-50.827,-42 regnety_080,26.524,73.476,44.359,55.641,39.18,224,0.875,bicubic,-53.352,-50.471,-79
repvgg_a2,25.467,74.533,44.010,55.990,28.21,224,0.875,bilinear,-51.021,-49.013,+21 tf_efficientnet_b0,26.485,73.515,45.646,54.354,5.29,224,0.875,bicubic,-50.363,-47.582,+37
tv_resnext50_32x4d,25.465,74.535,42.768,57.232,25.03,224,0.875,bilinear,-52.163,-50.912,-11 res2net50_14w_8s,26.483,73.517,44.371,55.629,25.06,224,0.875,bilinear,-51.667,-49.477,-6
res2next50,25.428,74.572,42.502,57.498,24.67,224,0.875,bilinear,-52.652,-51.450,-25 gluon_resnet50_v1b,26.436,73.564,44.035,55.965,25.56,224,0.875,bicubic,-51.144,-49.681,+14
tf_mixnet_l,25.412,74.588,42.571,57.429,7.33,224,0.875,bicubic,-53.390,-51.483,-50 tf_efficientnet_el,26.357,73.643,44.175,55.825,10.59,300,0.904,bicubic,-53.893,-50.953,-99
dla102,25.322,74.678,43.898,56.102,33.27,224,0.875,bilinear,-52.732,-50.021,-26 regnetx_040,26.243,73.757,44.438,55.562,22.12,224,0.875,bicubic,-52.239,-49.806,-24
legacy_seresnet101,25.306,74.694,42.874,57.126,49.33,224,0.875,bilinear,-53.114,-51.300,-37 dpn68,26.129,73.871,44.228,55.772,12.61,224,0.875,bicubic,-50.189,-48.750,+42
selecsls60b,25.302,74.698,43.485,56.515,32.77,224,0.875,bicubic,-53.194,-50.707,-44 hrnet_w18,25.986,74.014,44.813,55.187,21.30,224,0.875,bilinear,-50.772,-48.631,+33
legacy_seresnext50_32x4d,25.292,74.708,41.923,58.077,27.56,224,0.875,bilinear,-53.816,-52.555,-66 hardcorenas_f,25.951,74.049,44.220,55.780,8.20,224,0.875,bilinear,-52.153,-49.582,-10
resnest14d,25.282,74.718,44.011,55.989,10.61,224,0.875,bilinear,-50.305,-48.477,+22 regnety_040,25.923,74.077,43.848,56.152,20.65,224,0.875,bicubic,-53.297,-50.808,-54
res2net50_48w_2s,25.066,74.934,42.157,57.843,25.29,224,0.875,bilinear,-52.452,-51.425,-14 resnet34,25.888,74.112,43.982,56.018,21.80,224,0.875,bilinear,-49.222,-48.302,+57
efficientnet_b0,24.976,75.024,42.762,57.238,5.29,224,0.875,bicubic,-52.634,-50.802,-18 res2net50_26w_4s,25.866,74.134,43.155,56.845,25.70,224,0.875,bilinear,-52.098,-50.699,-7
gluon_resnet34_v1b,24.976,75.024,42.235,57.765,21.80,224,0.875,bicubic,-49.520,-49.773,+38 tresnet_m_448,25.852,74.148,42.874,57.126,31.39,448,0.875,bilinear,-55.862,-52.698,-159
mobilenetv2_120d,24.876,75.124,43.082,56.918,5.83,224,0.875,bicubic,-52.452,-50.396,-12 hardcorenas_c,25.815,74.185,44.772,55.228,5.52,224,0.875,bilinear,-51.239,-48.386,+19
dla60,24.868,75.132,43.281,56.719,22.04,224,0.875,bilinear,-52.056,-50.010,-3 gluon_resnet50_v1c,25.784,74.216,43.031,56.969,25.58,224,0.875,bicubic,-52.228,-50.957,-13
regnety_016,24.842,75.158,42.650,57.350,11.20,224,0.875,bicubic,-52.962,-51.000,-26 selecsls60,25.729,74.272,44.065,55.935,30.67,224,0.875,bicubic,-52.254,-49.764,-12
tf_efficientnet_lite2,24.510,75.490,42.316,57.684,6.09,260,0.890,bicubic,-52.930,-51.446,-18 hardcorenas_e,25.662,74.338,43.412,56.588,8.07,224,0.875,bilinear,-52.132,-50.282,-6
skresnet18,24.471,75.529,42.605,57.395,11.96,224,0.875,bicubic,-48.529,-48.552,+43 dla60_res2net,25.652,74.348,43.599,56.401,20.85,224,0.875,bilinear,-52.812,-50.607,-34
regnetx_016,24.436,75.564,42.434,57.566,9.19,224,0.875,bicubic,-52.478,-50.938,-6 dla60_res2next,25.640,74.360,43.670,56.330,17.03,224,0.875,bilinear,-52.800,-50.482,-33
tf_efficientnet_lite0,24.326,75.674,42.477,57.523,4.65,224,0.875,bicubic,-50.542,-49.653,+27 ecaresnet26t,25.538,74.462,43.660,56.340,16.01,320,0.950,bicubic,-54.316,-51.424,-94
resnetv2_50x1_bitm,24.206,75.794,43.469,56.531,25.55,480,1.000,bilinear,-55.946,-52.175,-125 mixnet_l,25.512,74.488,43.455,56.545,7.33,224,0.875,bicubic,-53.464,-50.727,-55
tv_resnet50,24.157,75.844,41.331,58.669,25.56,224,0.875,bilinear,-51.855,-51.603,+6 tf_efficientnet_lite1,25.499,74.501,43.585,56.415,5.42,240,0.882,bicubic,-51.143,-49.641,+21
legacy_seresnet34,24.058,75.942,41.889,58.111,21.96,224,0.875,bilinear,-50.854,-50.275,+23 efficientnet_b1,25.469,74.531,43.284,56.716,7.79,240,0.875,bicubic,-53.229,-50.860,-48
resnet18d,23.964,76.036,42.329,57.671,11.71,224,0.875,bicubic,-48.416,-48.381,+41 tv_resnext50_32x4d,25.455,74.545,42.787,57.213,25.03,224,0.875,bilinear,-52.165,-50.909,-10
efficientnet_lite0,23.836,76.164,42.094,57.906,4.65,224,0.875,bicubic,-51.608,-50.450,+11 repvgg_a2,25.436,74.564,43.939,56.061,28.21,224,0.875,bilinear,-51.024,-49.065,+23
tv_densenet121,23.832,76.168,41.915,58.085,7.98,224,0.875,bicubic,-50.914,-50.215,+22 tf_mixnet_l,25.422,74.578,42.534,57.466,7.33,224,0.875,bicubic,-53.352,-51.464,-53
mobilenetv2_140,23.709,76.291,41.473,58.527,6.11,224,0.875,bicubic,-52.829,-51.471,-5 hardcorenas_b,25.402,74.598,44.190,55.810,5.18,224,0.875,bilinear,-51.136,-48.564,+19
mixnet_m,23.703,76.297,41.190,58.810,5.01,224,0.875,bicubic,-53.473,-52.236,-22 res2next50,25.389,74.611,42.508,57.492,24.67,224,0.875,bilinear,-52.857,-51.384,-36
dla34,23.661,76.339,41.522,58.478,15.74,224,0.875,bilinear,-50.975,-50.600,+21 legacy_seresnet101,25.334,74.666,42.825,57.175,49.33,224,0.875,bilinear,-53.048,-51.439,-41
legacy_seresnet50,23.644,76.356,40.048,59.952,28.09,224,0.875,bilinear,-53.968,-53.748,-37 selecsls60b,25.332,74.668,43.559,56.441,32.77,224,0.875,bicubic,-53.080,-50.615,-43
ese_vovnet19b_dw,23.496,76.504,41.262,58.738,6.54,224,0.875,bicubic,-53.276,-52.014,-13 dla102,25.316,74.684,43.827,56.173,33.27,224,0.875,bilinear,-52.716,-50.119,-30
tf_mixnet_m,23.477,76.523,40.956,59.044,5.01,224,0.875,bicubic,-53.487,-52.256,-21 hardcorenas_d,25.300,74.700,43.121,56.879,7.50,224,0.875,bilinear,-52.132,-50.363,-10
tv_resnet34,23.467,76.533,41.420,58.580,21.80,224,0.875,bilinear,-49.799,-50.010,+27 resnest14d,25.284,74.716,44.114,55.886,10.61,224,0.875,bilinear,-50.220,-48.404,+27
selecsls42b,23.341,76.659,40.675,59.325,32.46,224,0.875,bicubic,-53.755,-52.717,-26 legacy_seresnext50_32x4d,25.210,74.790,41.936,58.064,27.56,224,0.875,bilinear,-53.868,-52.500,-73
tf_efficientnet_em,23.314,76.686,40.425,59.575,6.90,240,0.882,bicubic,-54.846,-53.621,-60 res2net50_48w_2s,25.027,74.973,42.208,57.792,25.29,224,0.875,bilinear,-52.495,-51.346,-16
repvgg_b0,23.302,76.698,41.146,58.854,15.82,224,0.875,bilinear,-51.912,-51.308,+3 efficientnet_b0,25.015,74.985,42.787,57.213,5.29,224,0.875,bicubic,-52.683,-50.745,-24
mobilenetv2_110d,23.095,76.905,40.748,59.252,4.52,224,0.875,bicubic,-51.953,-51.385,+7 gluon_resnet34_v1b,24.939,75.061,42.243,57.757,21.80,224,0.875,bicubic,-49.649,-49.747,+40
vit_deit_tiny_distilled_patch16_224,22.728,77.272,40.793,59.207,5.91,224,0.900,bicubic,-51.766,-51.091,+14 mobilenetv2_120d,24.937,75.063,43.058,56.942,5.83,224,0.875,bicubic,-52.347,-50.434,-11
mobilenetv3_large_100,22.697,77.303,40.793,59.207,5.48,224,0.875,bicubic,-53.013,-51.703,-9 dla60,24.933,75.067,43.296,56.704,22.04,224,0.875,bilinear,-52.099,-50.022,-5
mobilenetv3_rw,22.640,77.361,40.352,59.648,5.48,224,0.875,bicubic,-52.903,-52.324,-7 regnety_016,24.811,75.189,42.616,57.384,11.20,224,0.875,bicubic,-53.051,-51.104,-33
tf_mobilenetv3_large_100,22.565,77.435,39.702,60.298,5.48,224,0.875,bilinear,-52.955,-52.848,-6 tf_efficientnet_lite2,24.530,75.470,42.280,57.720,6.09,260,0.890,bicubic,-52.938,-51.474,-21
tf_efficientnet_es,22.392,77.608,39.071,60.929,5.44,224,0.875,bicubic,-54.170,-54.113,-21 skresnet18,24.483,75.517,42.536,57.464,11.96,224,0.875,bicubic,-48.555,-48.632,+46
hrnet_w18_small_v2,22.347,77.653,39.851,60.149,15.60,224,0.875,bilinear,-52.817,-52.579,-2 regnetx_016,24.473,75.527,42.514,57.486,9.19,224,0.875,bicubic,-52.477,-50.906,-8
regnety_008,22.066,77.934,38.873,61.127,6.26,224,0.875,bicubic,-54.258,-54.227,-18 pit_ti_distilled_224,24.406,75.594,42.730,57.270,5.10,224,0.900,bicubic,-50.124,-49.366,+34
seresnext26t_32x4d,22.011,77.989,38.484,61.516,16.81,224,0.875,bicubic,-55.819,-55.244,-57 tf_efficientnet_lite0,24.373,75.627,42.487,57.513,4.65,224,0.875,bicubic,-50.457,-49.689,+27
regnety_006,21.956,78.044,38.849,61.151,6.06,224,0.875,bicubic,-53.250,-53.711,-6 hardcorenas_a,24.369,75.631,43.284,56.716,5.26,224,0.875,bilinear,-51.547,-49.230,+7
regnetx_008,21.930,78.070,38.987,61.013,7.26,224,0.875,bicubic,-53.096,-53.345,-2 resnetv2_50x1_bitm,24.233,75.767,43.477,56.523,25.55,480,1.000,bilinear,-55.939,-52.149,-137
resnet26d,21.916,78.084,38.564,61.436,16.01,224,0.875,bicubic,-54.684,-54.624,-28 tv_resnet50,24.070,75.930,41.313,58.687,25.56,224,0.875,bilinear,-52.068,-51.551,+3
semnasnet_100,21.897,78.103,38.645,61.355,3.89,224,0.875,bicubic,-53.529,-53.903,-12 legacy_seresnet34,24.027,75.973,41.909,58.091,21.96,224,0.875,bilinear,-50.781,-50.215,+24
regnetx_006,21.700,78.300,38.938,61.062,6.20,224,0.875,bicubic,-52.262,-52.746,+5 resnet18d,23.929,76.071,42.300,57.700,11.71,224,0.875,bicubic,-48.331,-48.396,+45
vgg19_bn,21.602,78.398,39.274,60.726,143.68,224,0.875,bilinear,-52.614,-52.574,+2 efficientnet_lite0,23.909,76.091,42.088,57.912,4.65,224,0.875,bicubic,-51.575,-50.422,+10
gluon_resnet18_v1b,21.506,78.494,38.843,61.157,11.69,224,0.875,bicubic,-49.416,-50.927,+21 tv_densenet121,23.844,76.156,41.925,58.075,7.98,224,0.875,bicubic,-50.894,-50.225,+22
fbnetc_100,21.498,78.502,38.122,61.878,5.57,224,0.875,bilinear,-53.584,-54.232,-10 efficientnet_es_pruned,23.828,76.172,41.995,58.005,5.44,224,0.875,bicubic,-51.172,-50.453,+18
mnasnet_100,21.396,78.604,37.654,62.346,4.38,224,0.875,bicubic,-53.296,-54.486,-5 mobilenetv2_140,23.712,76.288,41.477,58.523,6.11,224,0.875,bicubic,-52.804,-51.519,-7
seresnext26d_32x4d,21.317,78.683,37.281,62.719,16.81,224,0.875,bicubic,-56.201,-56.325,-57 mixnet_m,23.710,76.290,41.141,58.859,5.01,224,0.875,bicubic,-53.550,-52.284,-27
resnet26,21.295,78.705,38.040,61.960,16.00,224,0.875,bicubic,-54.099,-54.544,-18 dla34,23.669,76.331,41.551,58.449,15.74,224,0.875,bilinear,-50.961,-50.527,+20
mixnet_s,21.282,78.718,38.173,61.827,4.13,224,0.875,bicubic,-54.780,-54.653,-30 legacy_seresnet50,23.651,76.349,40.091,59.909,28.09,224,0.875,bilinear,-53.978,-53.657,-44
ssl_resnet18,21.274,78.726,39.038,60.962,11.69,224,0.875,bilinear,-51.218,-52.404,+6 ese_vovnet19b_dw,23.535,76.465,41.288,58.712,6.54,224,0.875,bicubic,-53.263,-51.980,-18
legacy_seresnext26_32x4d,21.095,78.905,37.609,62.391,16.79,224,0.875,bicubic,-56.021,-55.749,-52 tf_mixnet_m,23.484,76.516,40.989,59.011,5.01,224,0.875,bicubic,-53.458,-52.163,-23
regnetx_004,20.914,79.086,37.576,62.424,5.16,224,0.875,bicubic,-51.622,-53.266,+3 tv_resnet34,23.473,76.527,41.367,58.633,21.80,224,0.875,bilinear,-49.839,-50.059,+26
spnasnet_100,20.822,79.178,37.853,62.147,4.42,224,0.875,bilinear,-53.298,-54.029,-7 tf_efficientnet_em,23.359,76.641,40.404,59.596,6.90,240,0.882,bicubic,-54.771,-53.640,-63
legacy_seresnet18,20.767,79.233,37.611,62.389,11.78,224,0.875,bicubic,-50.985,-52.697,+8 selecsls42b,23.357,76.643,40.677,59.323,32.46,224,0.875,bicubic,-53.817,-52.713,-33
mobilenetv2_100,20.724,79.276,37.759,62.241,3.50,224,0.875,bicubic,-52.233,-53.283,-1 repvgg_b0,23.316,76.684,41.182,58.818,15.82,224,0.875,bilinear,-51.837,-51.236,+2
tf_mixnet_s,20.490,79.510,36.611,63.389,4.13,224,0.875,bicubic,-55.168,-56.007,-33 mobilenetv2_110d,23.066,76.934,40.716,59.284,4.52,224,0.875,bicubic,-51.970,-51.470,+6
regnety_004,20.427,79.573,37.016,62.984,4.34,224,0.875,bicubic,-53.515,-54.738,-9 vit_deit_tiny_distilled_patch16_224,22.718,77.282,40.771,59.229,5.91,224,0.900,bicubic,-51.792,-51.119,+14
tf_mobilenetv3_large_075,20.393,79.607,36.812,63.188,3.99,224,0.875,bilinear,-52.979,-54.592,-8 mobilenetv3_large_100,22.655,77.345,40.781,59.219,5.48,224,0.875,bicubic,-53.111,-51.761,-11
hrnet_w18_small,20.340,79.660,37.067,62.933,13.19,224,0.875,bilinear,-51.936,-53.519,0 mobilenetv3_rw,22.630,77.370,40.374,59.626,5.48,224,0.875,bicubic,-53.004,-52.334,-10
resnet18,20.213,79.787,37.269,62.731,11.69,224,0.875,bilinear,-49.431,-51.713,+9 tf_mobilenetv3_large_100,22.569,77.431,39.767,60.233,5.48,224,0.875,bilinear,-52.949,-52.839,-9
vit_deit_tiny_patch16_224,20.183,79.817,37.544,62.456,5.72,224,0.900,bicubic,-52.013,-53.547,0 tf_efficientnet_es,22.413,77.587,39.095,60.905,5.44,224,0.875,bicubic,-54.180,-54.107,-25
tf_mobilenetv3_large_minimal_100,20.101,79.899,36.910,63.090,3.92,224,0.875,bilinear,-52.127,-53.772,-2 hrnet_w18_small_v2,22.337,77.663,39.861,60.139,15.60,224,0.875,bilinear,-52.777,-52.555,-3
vgg16_bn,19.902,80.098,36.265,63.735,138.37,224,0.875,bilinear,-53.574,-55.271,-14 regnety_008,22.119,77.881,38.900,61.100,6.26,224,0.875,bicubic,-54.197,-54.166,-21
vgg19,17.876,82.124,33.064,66.936,143.67,224,0.875,bilinear,-54.484,-57.786,-6 seresnext26t_32x4d,21.991,78.009,38.482,61.518,16.81,224,0.875,bicubic,-55.995,-55.264,-69
vgg13_bn,17.819,82.181,34.078,65.922,133.05,224,0.875,bilinear,-53.799,-56.282,-1 regnety_006,21.971,78.029,38.955,61.045,6.06,224,0.875,bicubic,-53.275,-53.577,-9
vgg16,17.509,82.491,32.724,67.276,138.36,224,0.875,bilinear,-54.119,-57.644,-3 regnetx_008,21.940,78.060,38.928,61.072,7.26,224,0.875,bicubic,-53.098,-53.408,-5
regnety_002,17.446,82.554,32.370,67.629,3.16,224,0.875,bicubic,-52.880,-57.185,0 resnet26d,21.907,78.094,38.619,61.381,16.01,224,0.875,bicubic,-54.789,-54.531,-33
vgg11_bn,17.328,82.672,32.966,67.034,132.87,224,0.875,bilinear,-53.080,-56.758,-2 semnasnet_100,21.903,78.097,38.600,61.400,3.89,224,0.875,bicubic,-53.545,-54.004,-14
regnetx_002,16.949,83.051,32.272,67.728,2.68,224,0.875,bicubic,-51.881,-56.238,+2 pit_ti_224,21.875,78.125,39.541,60.459,4.85,224,0.900,bicubic,-51.037,-51.861,+13
dla60x_c,16.359,83.641,31.753,68.247,1.32,224,0.875,bilinear,-51.593,-56.685,+2 regnetx_006,21.738,78.263,38.904,61.096,6.20,224,0.875,bicubic,-52.115,-52.768,+5
tf_mobilenetv3_small_100,16.271,83.729,31.276,68.724,2.54,224,0.875,bilinear,-51.605,-56.406,+2 vgg19_bn,21.628,78.373,39.283,60.717,143.68,224,0.875,bilinear,-52.587,-52.559,+1
vgg13,16.116,83.885,31.032,68.968,133.05,224,0.875,bilinear,-53.868,-58.274,-4 gluon_resnet18_v1b,21.549,78.451,38.869,61.131,11.69,224,0.875,bicubic,-49.287,-50.893,+21
vgg11,15.738,84.262,30.482,69.518,132.86,224,0.875,bilinear,-53.134,-58.176,-3 fbnetc_100,21.484,78.516,38.161,61.839,5.57,224,0.875,bilinear,-53.640,-54.224,-15
tf_mobilenetv3_small_075,14.917,85.083,29.549,70.451,2.04,224,0.875,bilinear,-50.815,-56.619,+1 mnasnet_100,21.350,78.650,37.719,62.281,4.38,224,0.875,bicubic,-53.308,-54.395,-7
dla46_c,14.681,85.319,29.417,70.583,1.30,224,0.875,bilinear,-50.249,-56.891,+1 resnet26,21.295,78.705,38.018,61.982,16.00,224,0.875,bicubic,-53.997,-54.552,-20
dla46x_c,14.433,85.567,29.250,70.750,1.07,224,0.875,bilinear,-51.497,-57.754,-2 ssl_resnet18,21.278,78.722,39.113,60.887,11.69,224,0.875,bilinear,-51.332,-52.303,+7
tf_mobilenetv3_small_minimal_100,13.956,86.044,28.043,71.957,2.04,224,0.875,bilinear,-48.788,-56.337,0 mixnet_s,21.254,78.746,38.187,61.813,4.13,224,0.875,bicubic,-54.738,-54.609,-33
seresnext26d_32x4d,21.252,78.748,37.311,62.689,16.81,224,0.875,bicubic,-56.350,-56.297,-71
legacy_seresnext26_32x4d,21.093,78.907,37.633,62.367,16.79,224,0.875,bicubic,-56.011,-55.683,-56
regnetx_004,20.898,79.102,37.566,62.434,5.16,224,0.875,bicubic,-51.498,-53.264,+4
spnasnet_100,20.863,79.137,37.896,62.104,4.42,224,0.875,bilinear,-53.221,-53.922,-8
legacy_seresnet18,20.837,79.162,37.619,62.381,11.78,224,0.875,bicubic,-50.905,-52.715,+8
mobilenetv2_100,20.773,79.227,37.759,62.241,3.50,224,0.875,bicubic,-52.197,-53.257,-2
tf_mixnet_s,20.470,79.530,36.607,63.393,4.13,224,0.875,bicubic,-55.180,-56.021,-36
regnety_004,20.415,79.585,37.002,62.998,4.34,224,0.875,bicubic,-53.619,-54.750,-11
hrnet_w18_small,20.368,79.632,37.093,62.907,13.19,224,0.875,bilinear,-51.976,-53.585,0
tf_mobilenetv3_large_075,20.366,79.634,36.764,63.236,3.99,224,0.875,bilinear,-53.072,-54.586,-11
resnet18,20.228,79.772,37.261,62.739,11.69,224,0.875,bilinear,-49.520,-51.817,+9
vit_deit_tiny_patch16_224,20.162,79.838,37.546,62.454,5.72,224,0.900,bicubic,-52.007,-53.572,0
tf_mobilenetv3_large_minimal_100,20.122,79.878,36.908,63.092,3.92,224,0.875,bilinear,-52.126,-53.722,-2
vgg16_bn,19.959,80.041,36.301,63.699,138.37,224,0.875,bilinear,-53.391,-55.205,-14
vgg19,17.929,82.071,33.054,66.946,143.67,224,0.875,bilinear,-54.439,-57.818,-7
vgg13_bn,17.802,82.198,34.039,65.961,133.05,224,0.875,bilinear,-53.792,-56.337,-2
vgg16,17.540,82.460,32.773,67.227,138.36,224,0.875,bilinear,-54.054,-57.609,-2
regnety_002,17.450,82.550,32.431,67.569,3.16,224,0.875,bicubic,-52.802,-57.109,0
vgg11_bn,17.403,82.597,33.011,66.989,132.87,224,0.875,bilinear,-52.957,-56.791,-2
regnetx_002,16.962,83.038,32.225,67.775,2.68,224,0.875,bicubic,-51.800,-56.331,+2
dla60x_c,16.310,83.690,31.761,68.239,1.32,224,0.875,bilinear,-51.582,-56.665,+3
tf_mobilenetv3_small_100,16.227,83.772,31.223,68.777,2.54,224,0.875,bilinear,-51.694,-56.441,+1
vgg13,16.100,83.900,30.985,69.015,133.05,224,0.875,bilinear,-53.826,-58.261,-4
vgg11,15.728,84.272,30.453,69.547,132.86,224,0.875,bilinear,-53.296,-58.175,-3
tf_mobilenetv3_small_075,14.944,85.056,29.572,70.428,2.04,224,0.875,bilinear,-50.772,-56.558,+1
dla46_c,14.657,85.343,29.380,70.620,1.30,224,0.875,bilinear,-50.209,-56.912,+1
dla46x_c,14.382,85.618,29.191,70.809,1.07,224,0.875,bilinear,-51.588,-57.789,-2
tf_mobilenetv3_small_minimal_100,13.964,86.036,27.988,72.012,2.04,224,0.875,bilinear,-48.942,-56.242,0

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation top1_diff top5_diff rank_diff
2 ig_resnext101_32x48d 58.850 58.810 41.150 41.190 81.080 81.076 18.920 18.924 828.41 224 0.875 bilinear -26.652 -26.618 -16.468 -16.496 +9 +12
3 ig_resnext101_32x32d 58.429 58.386 41.571 41.614 80.371 80.381 19.629 19.619 468.53 224 0.875 bilinear -26.717 -26.708 -17.085 -17.057 +14 +19
4 ig_resnext101_32x16d 57.663 57.690 42.337 42.310 79.882 79.905 20.118 20.095 194.03 224 0.875 bilinear -26.505 -26.480 -17.314 -17.291 +29 +33
5 swsl_resnext101_32x16d 57.466 57.458 42.534 42.542 80.406 80.385 19.594 19.615 194.03 224 0.875 bilinear -25.998 -25.888 -16.460 -16.461 +36 +44
6 swsl_resnext101_32x8d 56.460 56.438 43.540 43.562 78.936 78.944 21.064 21.056 88.79 224 0.875 bilinear -27.872 -27.846 -18.218 -18.232 +24 +28
7 ig_resnext101_32x8d 54.918 45.082 77.531 77.534 22.468 22.466 88.79 224 0.875 bilinear -27.742 -27.770 -19.153 -19.102 +46 +56
8 swsl_resnext101_32x4d 53.601 53.603 46.399 46.397 76.315 76.347 23.685 23.653 44.18 224 0.875 bilinear -29.651 -29.627 -20.453 -20.413 +36 +44
9 tf_efficientnet_l2_ns_475 51.485 51.494 48.515 48.506 73.918 73.928 26.082 26.072 480.31 475 0.936 bicubic -36.745 -36.740 -24.628 -24.618 -6
10 swsl_resnext50_32x4d 50.396 50.437 49.604 49.563 73.356 73.368 26.644 26.633 25.03 224 0.875 bilinear -31.790 -31.745 -22.908 -22.862 +50 +62
11 swsl_resnet50 swin_large_patch4_window12_384 49.547 50.404 50.453 49.596 72.352 72.564 27.648 27.436 25.56 196.74 224 384 0.875 1.000 bilinear bicubic -31.577 -36.744 -23.636 -25.670 +74 -7
12 tf_efficientnet_b7_ns swsl_resnet50 47.784 49.541 52.216 50.459 69.644 72.334 30.356 27.666 66.35 25.56 600 224 0.949 0.875 bicubic bilinear -39.046 -31.625 -28.448 -23.638 -8 +88
13 tf_efficientnet_b6_ns swin_large_patch4_window7_224 47.773 48.991 52.227 51.009 69.966 71.391 30.034 28.609 43.04 196.53 528 224 0.942 0.900 bicubic -38.689 -37.329 -27.912 -26.505 -8 -5
14 tf_efficientnet_l2_ns swin_base_patch4_window12_384 47.598 48.553 52.402 51.447 69.978 71.813 30.022 28.187 480.31 87.90 800 384 0.960 1.000 bicubic -40.738 -37.879 -28.686 -26.245 -12 -7
15 tf_efficientnet_b8_ap tf_efficientnet_b7_ns 45.778 47.800 54.222 52.200 67.893 69.640 32.107 30.360 87.41 66.35 672 600 0.954 0.949 bicubic -39.606 -39.040 -29.405 -28.454 -1 -10
16 tf_efficientnet_b5_ns tf_efficientnet_b6_ns 45.595 47.761 54.405 52.239 67.852 69.968 32.148 30.032 30.39 43.04 456 528 0.934 0.942 bicubic -40.477 -38.691 -29.896 -27.914 -9 -10
17 vit_base_resnet50_384 tf_efficientnet_l2_ns 43.524 47.570 56.476 52.430 66.792 70.019 33.208 29.981 98.95 480.31 384 800 1.000 0.960 bicubic -41.470 -40.782 -30.502 -28.631 +2 -15
18 tf_efficientnet_b4_ns tf_efficientnet_b8_ap 43.438 45.774 56.562 54.226 65.550 67.911 34.450 32.089 19.34 87.41 380 672 0.922 0.954 bicubic -41.756 -39.596 -31.950 -29.383 -3 -1
19 vit_large_patch16_384 tf_efficientnet_b5_ns 43.253 45.615 56.747 54.385 66.453 67.842 33.547 32.158 304.72 30.39 384 456 1.000 0.934 bicubic -41.917 -40.473 -30.891 -29.910 -3 -9
20 tf_efficientnet_b8 swin_base_patch4_window7_224 42.492 45.560 57.508 54.440 64.876 68.512 35.123 31.488 87.41 87.77 672 224 0.954 0.900 bicubic -42.892 -39.692 -32.524 -29.050 -7 -2
21 dm_nfnet_f6 vit_base_r50_s16_384 41.600 43.512 58.400 56.488 63.181 66.781 36.819 33.219 438.36 98.95 576 384 0.956 1.000 bicubic -44.706 -41.460 -34.561 -30.507 -15 +4
22 tf_efficientnet_b7_ap tf_efficientnet_b4_ns 41.451 43.450 58.549 56.550 62.894 65.519 37.106 34.481 66.35 19.34 600 380 0.949 0.922 bicubic -43.673 -41.713 -34.362 -31.951 -4 -3
23 tf_efficientnet_b7 vit_large_patch16_384 41.449 43.300 58.551 56.700 63.037 66.454 36.963 33.546 66.35 304.72 600 384 0.949 1.000 bicubic -43.487 -41.858 -34.171 -30.902 -2 -3
24 tf_efficientnet_b5_ap tf_efficientnet_b8 41.384 42.508 58.616 57.492 62.051 64.857 37.949 35.143 30.39 87.41 456 672 0.934 0.954 bicubic -42.876 -42.862 -34.923 -32.533 +7 -8
25 resnetv2_152x4_bitm dm_nfnet_f6 41.247 41.593 58.753 58.407 64.248 63.192 35.752 36.808 936.53 438.36 480 576 1.000 0.956 bilinear bicubic -43.669 -44.704 -33.196 -34.552 -2 -16
26 tf_efficientnet_b6_ap tf_efficientnet_b7 41.097 41.431 58.903 58.569 62.363 63.017 37.637 36.983 43.04 66.35 528 600 0.942 0.949 bicubic -43.693 -43.505 -34.773 -34.186 -2 0
27 dm_nfnet_f5 tf_efficientnet_b7_ap 41.009 41.429 58.991 58.571 61.927 62.874 38.073 37.126 377.21 66.35 544 600 0.954 0.949 bicubic -44.711 -43.691 -35.509 -34.378 -18 -6
28 dm_nfnet_f3 tf_efficientnet_b5_ap 40.875 41.418 59.125 58.582 62.008 62.084 37.992 37.916 254.92 30.39 416 456 0.940 0.934 bicubic -44.707 -42.834 -35.383 -34.890 -18 +7
29 vit_large_patch16_224 resnetv2_152x4_bitm 40.681 41.241 59.319 58.759 63.546 64.238 36.454 35.762 304.33 936.53 224 480 0.900 1.000 bicubic bilinear -42.379 -43.691 -32.878 -33.198 +18 -2
30 tf_efficientnet_b4_ap tf_efficientnet_b6_ap 40.533 41.099 59.467 58.901 61.673 62.355 38.327 37.645 19.34 43.04 380 528 0.922 0.942 bicubic -42.691 -43.689 -34.693 -34.783 +15 -2
31 tf_efficientnet_b3_ns dm_nfnet_f5 39.675 41.003 60.325 58.997 61.473 61.911 38.527 38.089 12.23 377.21 300 544 0.904 0.954 bicubic -44.337 -44.711 -35.437 -35.531 +4 -20
32 ecaresnet269d dm_nfnet_f3 39.594 40.920 60.406 59.080 60.308 61.949 39.692 38.051 102.09 254.92 352 416 1.000 0.940 bicubic -45.332 -44.640 -36.928 -35.457 -10 -19
33 dm_nfnet_f4 vit_large_patch16_224 39.439 40.732 60.561 59.268 60.410 63.593 39.590 36.407 316.07 304.33 512 224 0.951 0.900 bicubic -46.287 -42.330 -37.108 -32.845 -25 +22
34 tf_efficientnet_b5 tf_efficientnet_b4_ap 38.346 40.484 61.654 59.516 59.934 61.723 40.066 38.277 30.39 19.34 456 380 0.934 0.922 bicubic -45.474 -42.764 -36.826 -34.669 +4 +17
35 vit_deit_base_distilled_patch16_384 ecaresnet269d 38.244 39.594 61.756 60.406 57.853 60.343 42.147 39.657 87.63 102.09 384 352 1.000 bicubic -47.178 -45.382 -39.481 -36.883 -23 -11
36 vit_base_patch16_384 tf_efficientnet_b3_ns 38.142 39.584 61.858 60.416 60.439 61.453 39.561 38.547 86.86 12.23 384 300 1.000 0.904 bicubic -46.070 -44.464 -36.777 -35.457 -4 +4
37 resnet152d dm_nfnet_f4 37.859 39.474 62.141 60.526 58.388 60.420 41.612 39.580 60.21 316.07 320 512 1.000 0.951 bicubic -45.805 -46.184 -38.338 -37.090 +3 -25
38 resnet200d tf_efficientnet_b5 37.478 38.356 62.522 61.644 58.284 59.913 41.716 40.087 64.69 30.39 320 456 1.000 0.934 bicubic -46.522 -45.456 -38.540 -36.835 -2 +6
39 resnest269e vit_deit_base_distilled_patch16_384 37.293 38.260 62.707 61.740 57.443 57.783 42.557 42.217 110.93 87.63 416 384 0.928 1.000 bicubic -47.225 -47.162 -39.559 -39.549 -13 -24
40 tf_efficientnet_b3_ap vit_base_patch16_384 37.126 38.099 62.874 61.901 57.297 60.428 42.703 39.572 12.23 86.86 300 384 0.904 1.000 bicubic -44.676 -46.111 -38.303 -36.790 +27 -4
41 resnetv2_152x2_bitm resnet152d 36.837 37.857 63.163 62.143 59.866 58.356 40.134 41.644 236.34 60.21 480 320 1.000 bilinear bicubic -47.591 -45.823 -37.586 -38.382 -14 +6
42 seresnet152d pit_b_distilled_224 36.768 37.590 63.232 62.410 56.672 57.238 43.328 42.762 66.84 74.79 320 224 1.000 0.900 bicubic -47.582 -46.554 -40.370 -39.618 -13 -4
43 efficientnet_b3a resnet200d 36.432 37.505 63.568 62.495 56.788 58.297 43.212 41.703 12.23 64.69 320 1.000 bicubic -45.800 -46.457 -39.338 -38.526 +15 -1
44 vit_deit_base_distilled_patch16_224 resnest269e 36.373 37.315 63.627 62.685 56.588 57.468 43.412 42.532 87.34 110.93 224 416 0.900 0.928 bicubic -46.999 -47.203 -39.916 -39.518 -2 -14
45 dm_nfnet_f2 efficientnet_v2s 36.269 37.130 63.731 62.870 55.882 56.486 44.118 43.514 193.78 23.94 352 224 0.920 1.000 bicubic -48.699 -44.940 -41.242 -39.468 -25 +30
46 tf_efficientnet_b2_ns tf_efficientnet_b3_ap 36.218 37.055 63.782 62.945 57.517 57.240 42.483 42.760 9.11 12.23 260 300 0.890 0.904 bicubic -46.148 -44.767 -38.743 -38.384 +9 +34
47 efficientnet_b3 resnetv2_152x2_bitm 36.039 36.847 63.961 63.153 56.350 59.899 43.650 40.101 12.23 236.34 300 480 0.904 1.000 bicubic bilinear -45.993 -47.593 -39.686 -37.547 +16 -16
48 ecaresnet101d seresnet152d 36.010 36.790 63.990 63.210 56.132 56.718 43.868 43.282 44.57 66.84 224 320 0.875 1.000 bicubic -46.108 -47.572 -39.908 -40.322 +14 -15
49 resnest200e efficientnet_b3a 35.888 36.420 64.112 63.580 55.880 56.845 44.120 43.155 70.20 12.23 320 0.909 1.000 bicubic -47.952 -45.822 -40.978 -39.269 -12 +21
50 swsl_resnet18 vit_deit_base_distilled_patch16_224 35.809 36.397 64.191 63.603 58.380 56.617 41.620 43.383 11.69 87.34 224 0.875 0.900 bilinear bicubic -37.509 -46.991 -33.372 -39.871 +237 -2
51 vit_base_patch16_224 dm_nfnet_f2 35.691 36.257 64.309 63.743 57.390 55.847 42.610 44.153 86.57 193.78 224 352 0.900 0.920 bicubic -46.089 -48.733 -38.722 -41.297 +17 -28
52 resnest101e tf_efficientnet_b2_ns 35.369 36.183 64.631 63.817 55.835 57.551 44.165 42.449 48.28 9.11 256 260 0.875 0.890 bilinear bicubic -47.455 -46.197 -40.475 -38.697 -1 +15
53 resnetv2_101x3_bitm efficientnet_b3 35.230 36.037 64.770 63.963 57.863 56.370 42.137 43.630 387.93 12.23 480 300 1.000 0.904 bilinear bicubic -49.162 -46.039 -39.495 -39.650 -25 +21
54 dm_nfnet_f1 ecaresnet101d 35.198 36.004 64.802 63.996 54.375 56.165 45.625 43.835 132.63 44.57 320 224 0.910 0.875 bicubic -49.396 -46.168 -42.705 -39.881 -29 +19
55 repvgg_b3g4 resnest200e 35.043 35.931 64.957 64.069 54.774 55.849 45.226 44.151 83.83 70.20 224 320 0.875 0.909 bilinear bicubic -45.195 -47.901 -40.294 -41.045 +64 -12
56 repvgg_b3 swsl_resnet18 34.980 35.858 65.020 64.142 54.576 58.455 45.424 41.545 123.09 11.69 224 0.875 bilinear -45.460 -37.418 -40.618 -33.279 +49 +259
57 resnet101d eca_nfnet_l1 34.878 35.856 65.122 64.144 54.210 55.955 45.790 44.045 44.57 41.41 320 1.000 bicubic -48.122 -48.151 -42.250 -41.073 -8 -16
58 vit_large_patch32_384 vit_base_patch16_224 34.660 35.768 65.340 64.232 55.674 57.390 44.326 42.610 306.63 86.57 384 224 1.000 0.900 bicubic -46.846 -46.018 -40.434 -38.732 +17 +23
59 dm_nfnet_f0 resnest101e 34.652 35.373 65.348 64.627 54.747 55.780 45.253 44.220 71.49 48.28 256 0.900 0.875 bicubic bilinear -48.718 -47.517 -41.811 -40.540 -16 0
60 ssl_resnext101_32x16d resnetv2_101x3_bitm 34.628 35.261 65.372 64.739 55.955 57.851 44.045 42.149 194.03 387.93 224 480 0.875 1.000 bilinear -47.218 -49.133 -40.177 -39.511 +6 -28
61 repvgg_b2g4 dm_nfnet_f1 34.618 35.192 65.382 64.808 54.786 54.413 45.214 45.587 61.76 132.63 224 320 0.875 0.910 bilinear bicubic -44.785 -49.412 -39.920 -42.655 +93 -32
62 regnety_032 repvgg_b3 34.447 35.043 65.552 64.957 54.304 54.542 45.696 45.458 19.44 123.09 224 0.875 bicubic bilinear -47.569 -45.449 -41.628 -40.718 +2 +57
63 resnest50d_4s2x40d repvgg_b3g4 34.381 35.043 65.619 64.957 54.737 54.772 45.263 45.228 30.42 83.83 224 0.875 bicubic bilinear -46.767 -45.169 -40.815 -40.338 +21 +74
64 tf_efficientnet_b1_ns resnet101d 34.131 34.872 65.869 65.128 55.472 54.202 44.528 45.798 7.79 44.57 240 320 0.882 1.000 bicubic -47.267 -48.150 -40.258 -42.244 +13 -7
65 tf_efficientnet_b4 vit_large_patch32_384 34.088 34.673 65.912 65.326 54.269 55.729 45.731 44.271 19.34 306.63 380 384 0.922 1.000 bicubic -48.886 -46.833 -42.023 -40.363 -15 +24
66 efficientnet_b3_pruned dm_nfnet_f0 34.033 34.642 65.967 65.358 54.051 54.762 45.949 45.238 9.86 71.49 300 256 0.904 0.900 bicubic -46.787 -48.700 -41.173 -41.798 +27 -16
67 tf_efficientnet_b6 ssl_resnext101_32x16d 33.976 34.605 66.024 65.395 54.534 55.931 45.466 44.069 43.04 194.03 528 224 0.942 0.875 bicubic bilinear -50.146 -47.239 -42.356 -40.165 -33 +12
68 ssl_resnext101_32x8d repvgg_b2g4 33.968 34.587 66.032 65.413 55.560 54.782 44.440 45.218 88.79 61.76 224 0.875 bilinear -47.632 -44.779 -40.462 -39.906 +5 +103
69 gernet_l resnest50d_4s2x40d 33.329 34.355 66.671 65.645 51.840 54.725 48.160 45.275 31.08 30.42 256 224 0.875 bilinear bicubic -48.015 -46.753 -43.700 -40.833 +9 +32
70 tresnet_xl tf_efficientnet_b1_ns 33.257 34.157 66.743 65.843 52.288 55.489 47.712 44.511 78.44 7.79 224 240 0.875 0.882 bilinear bicubic -48.909 -47.231 -43.646 -40.249 -9 +22
71 resnest50d_1s4x24d tf_efficientnet_b4 33.178 34.064 66.822 65.936 52.815 54.198 47.185 45.802 25.68 19.34 224 380 0.875 0.922 bicubic -47.760 -48.958 -42.503 -42.102 +18 -13
72 rexnet_200 nfnet_l0 32.978 34.029 67.022 65.971 52.886 54.418 47.114 45.582 16.37 35.07 224 288 0.875 1.000 bicubic -48.710 -48.731 -42.804 -42.080 -2 -11
73 resnest50d ssl_resnext101_32x8d 32.948 34.017 67.052 65.983 52.581 55.601 47.419 44.399 27.48 88.79 224 0.875 bilinear -48.022 -47.599 -42.769 -40.437 +15 +13
74 tf_efficientnet_b3 tf_efficientnet_b6 32.870 33.998 67.130 66.002 52.917 54.544 47.083 45.456 12.23 43.04 300 528 0.904 0.942 bicubic -48.756 -50.112 -42.789 -42.342 -2 -35
75 pnasnet5large efficientnet_b3_pruned 32.848 33.996 67.152 66.004 50.457 54.108 49.543 45.892 86.06 9.86 331 300 0.911 0.904 bicubic -49.938 -46.862 -45.619 -41.134 -23 +34
76 nasnetalarge regnety_160 32.764 33.976 67.237 66.024 50.091 53.546 49.909 46.454 88.75 83.59 331 288 0.911 1.000 bicubic -49.877 -49.710 -45.961 -43.230 -22 -30
77 inception_resnet_v2 pit_s_distilled_224 32.750 33.939 67.250 66.061 50.645 53.265 49.355 46.735 55.84 24.04 299 224 0.897 0.900 bicubic -47.698 -48.057 -44.647 -42.533 +27 +1
78 gernet_m regnety_032 32.695 33.412 67.305 66.588 51.927 52.754 48.073 47.246 21.14 19.44 224 288 0.875 1.000 bilinear bicubic -48.035 -49.312 -43.285 -43.670 +17 -16
79 gluon_resnet152_v1d gernet_l 32.657 33.357 67.343 66.643 51.025 51.901 48.975 48.099 60.21 31.08 224 256 0.875 bicubic bilinear -47.823 -47.997 -44.237 -43.635 +23 +15
80 tf_efficientnet_b2_ap tresnet_xl 32.655 33.257 67.345 66.743 52.219 52.294 47.781 47.706 9.11 78.44 260 224 0.890 0.875 bicubic bilinear -47.585 -48.797 -42.764 -43.642 +38 -4
81 tresnet_l resnest50d_1s4x24d 32.581 33.147 67.419 66.853 51.151 52.839 48.849 47.161 55.99 25.68 224 0.875 bilinear bicubic -48.909 -47.841 -44.434 -42.483 -5 +23
82 vit_base_patch32_384 rexnet_200 32.547 32.987 67.453 67.013 52.438 52.939 47.562 47.061 88.30 16.37 384 224 1.000 0.875 bicubic -49.117 -48.645 -43.690 -42.729 -11 +3
83 wide_resnet50_2 resnest50d 32.431 32.972 67.569 67.028 51.534 52.713 48.466 47.287 68.88 27.48 224 0.875 bicubic bilinear -48.875 -48.002 -44.054 -42.665 -3 +22
84 ens_adv_inception_resnet_v2 tf_efficientnet_b3 32.408 32.860 67.592 67.140 50.435 52.950 49.565 47.050 55.84 12.23 299 300 0.897 0.904 bicubic -47.522 -48.776 -44.515 -42.768 +46 0
85 resnetv2_50x3_bitm pnasnet5large 32.384 32.848 67.616 67.152 54.271 50.500 45.729 49.500 217.32 86.06 480 331 1.000 0.911 bilinear bicubic -51.416 -49.934 -42.839 -45.540 -46 -25
86 vit_deit_base_patch16_224 nasnetalarge 32.355 32.775 67.645 67.225 50.986 50.141 49.014 49.859 86.57 88.75 224 331 0.900 0.911 bicubic -49.639 -49.845 -44.752 -45.906 -21 -22
87 gluon_resnet152_v1s gernet_m 32.309 32.740 67.691 67.260 50.547 51.913 49.453 48.087 60.32 21.14 224 0.875 bicubic bilinear -48.710 -47.992 -44.879 -43.271 0 +26
88 vit_deit_small_distilled_patch16_224 inception_resnet_v2 32.292 32.738 67.708 67.262 52.119 50.648 47.881 49.352 22.44 55.84 224 299 0.900 0.897 bicubic -48.958 -47.720 -43.277 -44.658 -6 +35
89 gluon_seresnext101_64x4d gluon_resnet152_v1d 32.239 32.734 67.761 67.266 50.359 51.088 49.641 48.912 88.23 60.21 224 0.875 bicubic -48.613 -47.740 -44.977 -44.118 +3 +32
90 gluon_seresnext101_32x4d pit_b_224 32.062 32.718 67.938 67.282 51.288 49.852 48.712 50.148 48.96 73.76 224 0.875 0.900 bicubic -48.816 -49.728 -43.986 -45.858 +1 -24
91 vit_deit_base_patch16_384 tf_efficientnet_b2_ap 32.021 32.681 67.979 67.319 50.573 52.239 49.427 47.761 86.86 9.11 384 260 1.000 0.890 bicubic -51.071 -47.619 -45.779 -42.789 -45 +41
92 seresnext50_32x4d tresnet_l 31.991 32.559 68.009 67.441 51.192 51.139 48.808 48.861 27.56 55.99 224 0.875 bicubic bilinear -49.279 -48.931 -44.464 -44.485 -11 -2
93 cspresnext50 vit_base_patch32_384 31.838 32.461 68.162 67.539 51.599 52.444 48.401 47.556 20.57 88.30 224 384 0.875 1.000 bilinear bicubic -48.168 -49.191 -43.333 -43.684 +35 -10
94 resnet50 wide_resnet50_2 31.518 32.439 68.482 67.561 50.184 51.459 49.816 48.541 25.56 68.88 224 0.875 bicubic -47.486 -49.017 -44.208 -44.073 +81 -3
95 ssl_resnext101_32x4d resnetv2_50x3_bitm 31.353 32.410 68.647 67.590 52.070 54.314 47.930 45.686 44.18 217.32 224 480 0.875 1.000 bilinear -49.671 -51.374 -43.678 -42.792 -9 -50
96 rexnet_150 ens_adv_inception_resnet_v2 31.327 32.370 68.673 67.629 51.223 50.427 48.777 49.573 9.73 55.84 224 299 0.875 0.897 bicubic -49.023 -47.611 -43.979 -44.509 +14 +50
97 cspresnet50 vit_deit_base_patch16_224 31.299 32.363 68.701 67.637 51.198 51.011 48.802 48.989 21.62 86.57 256 224 0.887 0.900 bilinear bicubic -48.282 -49.635 -43.514 -44.723 +51 -20
98 inception_v4 swin_small_patch4_window7_224 31.294 32.341 68.706 67.659 49.244 50.905 50.756 49.095 42.68 49.61 299 224 0.875 0.900 bicubic -48.860 -50.871 -45.718 -45.417 +24 -45
99 ecaresnetlight gluon_resnet152_v1s 31.123 32.331 68.877 67.669 50.221 50.526 49.779 49.474 30.16 60.32 224 0.875 bicubic -49.337 -48.685 -44.981 -44.886 +4
100 ecaresnet50d vit_deit_small_distilled_patch16_224 31.097 32.284 68.903 67.716 50.811 52.102 49.189 47.898 25.58 22.44 224 0.875 0.900 bicubic -49.517 -48.916 -44.503 -43.276 -1
101 resnet50d gluon_seresnext101_64x4d 31.072 32.205 68.928 67.795 49.820 50.319 50.180 49.681 25.58 88.23 224 0.875 bicubic -49.421 -48.689 -45.308 -44.989 0 +7
102 ecaresnet50t gluon_seresnext101_32x4d 31.064 32.107 68.936 67.893 50.681 51.237 49.319 48.763 25.57 48.96 320 224 0.950 0.875 bicubic -51.284 -48.797 -45.463 -44.057 -46 +5
103 gluon_resnet101_v1s vit_deit_base_patch16_384 31.056 31.989 68.944 68.011 49.789 50.547 50.211 49.453 44.67 86.86 224 384 0.875 1.000 bicubic -49.240 -51.117 -45.387 -45.825 +11 -49
104 tf_efficientnet_cc_b0_8e seresnext50_32x4d 31.052 31.985 68.948 68.015 50.795 51.231 49.205 48.769 24.01 27.56 224 0.875 bicubic -46.874 -49.281 -42.803 -44.389 +108 -7
105 cspdarknet53 cspresnext50 31.020 31.822 68.980 68.178 50.423 51.602 49.577 48.398 27.64 20.57 256 224 0.887 0.875 bilinear -49.029 -48.218 -44.652 -43.342 +20 +39
106 gluon_resnet152_v1c eca_nfnet_l0 31.020 31.657 68.980 68.343 48.934 51.654 51.066 48.346 60.21 24.14 224 288 0.875 1.000 bicubic -48.829 -50.931 -45.956 -44.820 +29 -41
107 tresnet_m tnt_s_patch16_224 30.942 31.643 69.058 68.357 48.682 51.143 51.318 48.857 31.39 23.76 224 0.875 0.900 bilinear bicubic -49.778 -49.875 -46.174 -44.605 -11 -19
108 gluon_resnext101_64x4d resnet50 30.916 31.547 69.084 68.453 48.529 50.170 51.471 49.830 83.46 25.56 224 0.875 bicubic -49.720 -47.491 -46.461 -44.220 -10 +85
109 tf_efficientnet_cc_b1_8e ssl_resnext101_32x4d 30.895 31.423 69.105 68.577 50.060 52.121 49.940 47.879 39.72 44.18 240 224 0.882 0.875 bicubic bilinear -48.393 -49.501 -44.298 -43.607 +50 -3
110 ecaresnet101d_pruned inception_v4 30.871 31.378 69.129 68.622 49.968 49.244 50.032 50.756 24.88 42.68 224 299 0.875 bicubic -50.015 -48.790 -45.604 -45.724 -20 +29
111 gluon_resnext101_32x4d rexnet_150 30.859 31.366 69.141 68.634 48.584 51.288 51.416 48.712 44.18 9.73 224 0.875 bicubic -49.359 -48.944 -46.324 -43.878 +9 +18
112 nf_resnet50 pit_s_224 30.761 31.333 69.239 68.667 50.040 49.661 49.960 50.339 25.56 23.46 288 224 0.940 0.900 bicubic -49.905 -49.761 -45.318 -45.671 -15 -10
113 tf_efficientnet_lite4 cspresnet50 30.735 31.270 69.264 68.730 50.262 51.223 49.738 48.777 13.01 21.62 380 256 0.920 0.887 bilinear -50.781 -48.304 -45.362 -43.489 -39 +52
114 dpn107 ecaresnetlight 30.627 31.121 69.373 68.879 48.842 50.243 51.158 49.757 86.92 30.16 224 0.875 bicubic -49.553 -49.341 -46.064 -45.007 +7 +8
115 ese_vovnet39b gluon_resnet101_v1s 30.625 31.115 69.374 68.885 49.924 49.793 50.076 50.207 24.57 44.67 224 0.875 bicubic -48.581 -49.187 -44.804 -45.367 +51 +15
116 gluon_resnet152_v1b tf_efficientnet_cc_b0_8e 30.612 31.087 69.388 68.913 48.535 50.761 51.465 49.239 60.19 24.01 224 0.875 bicubic -49.022 -46.821 -46.223 -42.892 +30 +118
117 tresnet_xl_448 ecaresnet50d 30.602 31.058 69.398 68.942 49.087 50.848 50.913 49.152 78.44 25.58 448 224 0.875 bilinear bicubic -52.440 -49.534 -47.095 -44.472 -69 0
118 ssl_resnext50_32x4d ecaresnet50t 30.600 31.058 69.400 68.942 50.642 50.577 49.358 49.423 25.03 25.57 224 320 0.875 0.950 bilinear bicubic -49.732 -51.288 -44.740 -45.561 -7 -50
119 gluon_resnet101_v1d resnet50d 30.561 31.020 69.439 68.980 47.985 49.808 52.015 50.192 44.57 25.58 224 0.875 bicubic -49.869 -49.510 -47.029 -45.352 -13 -1
120 dpn68b cspdarknet53 30.527 31.018 69.473 68.981 49.170 50.390 50.830 49.610 12.61 27.64 224 256 0.875 0.887 bicubic bilinear -48.613 -49.040 -45.254 -44.694 +48 +23
121 resnest26d tresnet_m 30.514 30.997 69.487 69.003 50.640 48.682 49.360 51.318 17.07 31.39 224 0.875 bilinear -47.926 -49.805 -43.656 -46.178 +75 -9
122 efficientnet_b2a gluon_resnet152_v1c 30.409 30.991 69.591 69.009 49.712 48.924 50.288 51.076 9.11 60.21 288 224 1.000 0.875 bicubic -50.199 -48.919 -45.586 -45.916 -22 +27
123 tf_efficientnet_b1_ap gluon_resnext101_64x4d 30.390 30.987 69.610 69.013 49.545 48.549 50.455 51.451 7.79 83.46 240 224 0.882 0.875 bicubic -48.900 -49.617 -44.781 -46.439 +35 -7
124 seresnet50 tf_efficientnet_cc_b1_8e 30.087 30.899 69.913 69.101 49.297 50.080 50.703 49.920 28.09 39.72 224 240 0.875 0.882 bicubic -50.205 -48.409 -45.751 -44.290 -9 +51
125 legacy_senet154 ecaresnet101d_pruned 30.048 30.897 69.952 69.103 48.006 50.013 51.994 49.987 115.09 24.88 224 0.875 bilinear bicubic -51.274 -49.919 -47.448 -45.615 -46 -15
126 dpn98 gluon_resnext101_32x4d 30.040 30.877 69.960 69.123 48.185 48.537 51.815 51.463 61.57 44.18 224 0.875 bicubic -49.648 -49.457 -46.459 -46.389 +17 +1
127 tf_efficientnet_b2 tf_efficientnet_lite4 30.001 30.830 69.999 69.170 49.559 50.386 50.441 49.614 9.11 13.01 260 380 0.890 0.920 bicubic bilinear -50.023 -50.706 -45.385 -45.282 0 -40
128 dpn131 nf_resnet50 29.999 30.775 70.001 69.225 48.118 50.074 51.882 49.926 79.25 25.56 224 288 0.875 0.940 bicubic -49.867 -49.919 -46.608 -45.282 +6 -14
129 dpn92 dpn107 29.912 30.678 70.088 69.322 49.064 48.810 50.936 51.190 37.67 86.92 224 0.875 bicubic -50.122 -49.478 -45.754 -45.832 -3 +12
130 gluon_senet154 ese_vovnet39b 29.843 30.657 70.157 69.343 47.851 49.875 52.149 50.125 115.09 24.57 224 0.875 bicubic -51.373 -48.663 -47.469 -44.837 -47 +43
131 gluon_xception65 gluon_resnet152_v1b 29.834 30.623 70.166 69.376 47.755 48.521 52.245 51.479 39.92 60.19 299 224 0.903 0.875 bicubic -49.922 -49.063 -47.097 -46.215 +9 +30
132 xception tresnet_xl_448 29.814 30.614 70.186 69.386 48.678 49.069 51.322 50.931 22.86 78.44 299 448 0.897 0.875 bicubic bilinear -49.214 -52.436 -45.692 -47.105 +42 -76
133 adv_inception_v3 ssl_resnext50_32x4d 29.804 30.594 70.196 69.406 47.881 50.657 52.119 49.343 23.83 25.03 299 224 0.875 bicubic bilinear -47.758 -49.724 -45.805 -44.749 +90 -5
134 resnetblur50 gluon_resnet101_v1d 29.657 30.523 70.343 69.477 48.201 47.950 51.799 52.050 25.56 44.57 224 0.875 bicubic -49.605 -49.891 -46.421 -47.064 +26 -10
135 efficientnet_b2 dpn68b 29.641 30.517 70.359 69.483 48.751 49.162 51.249 50.838 9.11 12.61 260 224 0.875 bicubic -50.673 -48.699 -46.361 -45.252 -23 +50
136 vit_deit_small_patch16_224 resnest26d 29.468 30.490 70.532 69.510 48.262 50.677 51.738 49.323 22.05 17.07 224 0.900 0.875 bicubic bilinear -50.400 -47.988 -46.780 -43.621 -3 +75
137 efficientnet_em efficientnet_b2a 29.460 30.435 70.540 69.565 48.916 49.698 51.084 50.302 6.90 9.11 240 288 0.882 1.000 bicubic -49.770 -50.177 -45.876 -45.620 +26 -22
138 nf_regnet_b1 tf_efficientnet_b1_ap 29.445 30.421 70.555 69.579 49.439 49.553 50.561 50.447 10.22 7.79 288 240 0.900 0.882 bicubic -49.879 -48.859 -45.333 -44.753 +18 +43
139 ssl_resnet50 pit_xs_distilled_224 29.439 30.278 70.561 69.722 49.852 49.836 50.148 50.164 25.56 11.00 224 0.875 0.900 bilinear bicubic -49.801 -49.028 -45.062 -44.528 +21 +39
140 resnext101_32x8d seresnet50 29.439 30.077 70.561 69.923 48.500 49.292 51.500 50.708 88.79 28.09 224 0.875 bilinear bicubic -49.771 -50.197 -46.056 -45.778 +26 -7
141 resnext50_32x4d dpn98 29.352 30.067 70.648 69.933 47.331 48.244 52.669 51.756 25.03 61.57 224 0.875 bicubic -50.370 -49.575 -47.275 -46.354 +1 +22
142 resnet34d tf_efficientnet_b2 29.331 30.026 70.669 69.974 48.395 49.581 51.605 50.419 21.82 9.11 224 260 0.875 0.890 bicubic -47.766 -50.060 -45.029 -45.328 +95 0
143 ecaresnet50d_pruned dpn131 29.201 30.024 70.799 69.976 48.517 48.146 51.483 51.854 19.94 79.25 224 0.875 bicubic -50.475 -49.798 -46.405 -46.564 +2 +12
144 tresnet_l_448 efficientnet_el 29.140 30.018 70.860 69.982 47.252 48.834 52.748 51.166 55.99 10.59 448 300 0.875 0.904 bilinear bicubic -53.150 -51.298 -48.726 -46.692 -87 -49
145 gluon_inception_v3 legacy_senet154 29.108 30.001 70.891 69.999 46.941 48.034 53.059 51.966 23.83 115.09 299 224 0.875 bicubic bilinear -49.721 -51.309 -47.457 -47.462 +37 -49
146 hrnet_w64 dpn92 28.985 29.953 71.015 70.047 47.128 49.162 52.872 50.838 128.06 37.67 224 0.875 bilinear bicubic -50.503 -50.055 -47.510 -45.676 +6 -1
147 xception71 gluon_senet154 28.979 29.877 71.021 70.123 47.433 47.894 52.567 52.106 42.34 115.09 299 224 0.903 0.875 bicubic -50.867 -51.357 -47.503 -47.454 -11 -49
148 tf_efficientnet_b0_ns xception 28.932 29.865 71.068 70.135 49.038 48.686 50.962 51.314 5.29 22.86 224 299 0.875 0.897 bicubic -49.668 -49.187 -45.350 -45.706 +41 +44
149 resnetv2_101x1_bitm adv_inception_v3 28.881 29.816 71.120 70.184 49.571 47.847 50.429 52.153 44.54 23.83 480 299 1.000 0.875 bilinear bicubic -53.328 -47.766 -46.889 -45.889 -90 +96
150 tf_efficientnet_b1 gluon_xception65 28.867 29.784 71.133 70.216 47.495 47.755 52.505 52.245 7.79 39.92 240 299 0.882 0.903 bicubic -49.965 -49.932 -46.711 -47.105 +31 +10
151 xception65 resnetblur50 28.857 29.625 71.143 70.375 47.187 48.248 52.813 51.752 39.92 25.56 299 224 0.903 0.875 bicubic -50.735 -49.661 -47.471 -46.390 -4 +29
152 gluon_resnet101_v1b efficientnet_b2 28.839 29.615 71.161 70.385 46.395 48.777 53.605 51.223 44.55 9.11 224 260 0.875 bicubic -50.521 -50.777 -48.113 -46.299 +3 -27
153 skresnext50_32x4d efficientnet_em 28.806 29.486 71.194 70.514 46.486 48.946 53.514 51.054 27.48 6.90 224 240 0.875 0.882 bicubic -51.348 -49.766 -48.216 -45.848 -30 +29
154 skresnet34 resnext101_32x8d 28.662 29.439 71.338 70.561 47.965 48.486 52.035 51.514 22.28 88.79 224 0.875 bicubic bilinear -48.248 -49.869 -45.307 -46.032 +88 +20
155 tf_efficientnet_lite3 ssl_resnet50 28.649 29.423 71.351 70.577 47.309 49.781 52.691 50.219 8.20 25.56 300 224 0.904 0.875 bilinear -51.109 -49.799 -47.555 -45.051 -16 +28
156 hrnet_w40 vit_deit_small_patch16_224 28.615 29.421 71.385 70.579 47.429 48.256 52.571 51.744 57.56 22.05 224 0.875 0.900 bilinear bicubic -50.291 -50.435 -47.005 -46.796 +22 -3
157 gluon_seresnext50_32x4d nf_regnet_b1 28.576 29.397 71.424 70.603 46.348 49.445 53.652 50.555 27.56 10.22 224 288 0.875 0.900 bicubic -51.372 -49.909 -48.488 -45.303 -28 +20
158 tv_resnet152 swin_tiny_patch4_window7_224 28.570 29.334 71.430 70.666 47.110 47.602 52.890 52.398 60.19 28.29 224 0.875 0.900 bilinear bicubic -49.680 -52.044 -46.872 -47.938 +43 -65
159 repvgg_b2 resnext50_32x4d 28.399 29.331 71.601 70.669 47.036 47.397 52.964 52.603 89.02 25.03 224 0.875 bilinear bicubic -50.483 -50.438 -47.310 -47.201 +21 -2
160 tf_efficientnet_b0_ap resnet34d 28.391 29.328 71.609 70.671 47.578 48.409 52.422 51.591 5.29 21.82 224 0.875 bicubic -48.681 -47.788 -45.684 -44.973 +78 +98
161 gluon_resnext50_32x4d ecaresnet50d_pruned 28.381 29.215 71.619 70.785 45.285 48.453 54.715 51.547 25.03 19.94 224 0.875 bicubic -50.939 -50.501 -49.215 -46.427 -4 -2
162 hrnet_w48 tresnet_l_448 28.360 29.165 71.640 70.835 47.490 47.232 52.510 52.768 77.47 55.99 224 448 0.875 bilinear -50.876 -53.103 -47.032 -48.744 0 -93
163 dla102x2 gluon_inception_v3 28.334 29.122 71.666 70.878 46.802 46.957 53.198 53.043 41.28 23.83 224 299 0.875 bilinear bicubic -51.094 -49.684 -47.826 -47.413 -10 +36
164 efficientnet_b2_pruned xception71 28.322 29.047 71.678 70.953 46.994 47.405 53.006 52.595 8.31 42.34 260 299 0.890 0.903 bicubic -51.510 -50.826 -47.812 -47.517 -26 -13
165 dla169 hrnet_w64 28.309 28.989 71.691 71.011 47.331 47.142 52.669 52.858 53.39 128.06 224 0.875 bilinear -50.423 -50.485 -47.004 -47.510 +20 +4
166 tf_efficientnet_cc_b0_4e resnetv2_101x1_bitm 28.295 28.910 71.705 71.090 47.350 49.502 52.650 50.498 13.31 44.54 224 480 0.875 1.000 bicubic bilinear -49.001 -53.302 -46.010 -46.970 +67 -95
167 mixnet_xl tf_efficientnet_b0_ns 28.264 28.902 71.737 71.098 46.737 49.011 53.263 50.989 11.90 5.29 224 0.875 bicubic -52.161 -49.756 -48.151 -45.365 -60 +39
168 gluon_resnet50_v1d xception65 28.203 28.896 71.797 71.104 45.896 47.167 54.104 52.833 25.58 39.92 224 299 0.875 0.903 bicubic -50.869 -50.656 -48.582 -47.487 +5 -2
169 densenet161 tf_efficientnet_b1 28.138 28.886 71.862 71.114 46.623 47.503 53.377 52.497 28.68 7.79 224 240 0.875 0.882 bicubic -49.200 -49.940 -47.065 -46.695 +60 +29
170 wide_resnet101_2 gluon_resnet101_v1b 28.100 28.878 71.900 71.121 46.497 46.389 53.503 53.611 126.89 44.55 224 0.875 bilinear bicubic -50.810 -50.427 -47.847 -48.135 +7 +6
171 gluon_resnet101_v1c skresnext50_32x4d 28.093 28.818 71.907 71.182 45.943 46.497 54.057 53.503 44.57 27.48 224 0.875 bicubic -51.457 -51.338 -48.699 -48.413 -21 -31
172 regnetx_320 tf_efficientnet_lite3 28.079 28.660 71.921 71.340 45.165 47.354 54.835 52.646 107.81 8.20 224 300 0.875 0.904 bicubic bilinear -52.235 -51.160 -49.903 -47.560 -59 -16
173 regnety_320 gluon_seresnext50_32x4d 28.041 28.651 71.959 71.349 45.456 46.436 54.544 53.564 145.05 27.56 224 0.875 bicubic -52.741 -51.267 -49.806 -48.386 -79 -26
174 gernet_s skresnet34 28.018 28.645 71.982 71.355 46.654 47.953 53.346 52.047 8.17 22.28 224 0.875 bilinear bicubic -48.856 -48.267 -46.474 -45.369 +69 +92
175 xception41 hrnet_w40 27.894 28.641 72.106 71.359 45.977 47.454 54.023 52.546 26.97 57.56 299 224 0.903 0.875 bicubic bilinear -50.602 -50.279 -48.279 -47.016 +18 +20
176 regnetx_160 tv_resnet152 27.859 28.533 72.141 71.467 45.605 47.118 54.395 52.882 54.28 60.19 224 0.875 bicubic bilinear -52.025 -49.779 -49.221 -46.920 -44 +42
177 tf_inception_v3 repvgg_b2 27.764 28.427 72.236 71.573 45.786 47.038 54.214 52.962 23.83 89.02 299 224 0.875 bicubic bilinear -50.040 -50.365 -47.938 -47.376 +40 +23
178 res2net101_26w_4s hrnet_w48 27.741 28.413 72.259 71.587 45.169 47.586 54.831 52.414 45.21 77.47 224 0.875 bilinear -51.379 -50.887 -49.263 -46.926 -8 +1
179 repvgg_b1 gluon_resnext50_32x4d 27.650 28.375 72.350 71.624 46.501 45.328 53.499 54.672 57.42 25.03 224 0.875 bilinear bicubic -50.792 -50.978 -47.657 -49.098 +16 -7
180 regnety_160 efficientnet_b2_pruned 27.621 28.362 72.379 71.638 45.525 47.051 54.475 52.949 83.59 8.31 224 260 0.875 0.890 bicubic -52.793 -51.554 -49.455 -47.805 -72 -32
181 hrnet_w44 tf_efficientnet_b0_ap 27.603 28.346 72.397 71.654 45.839 47.531 54.161 52.469 67.06 5.29 224 0.875 bilinear bicubic -51.283 -48.740 -48.571 -45.725 -2 +79
182 inception_v3 tf_efficientnet_cc_b0_4e 27.584 28.315 72.416 71.685 45.269 47.364 54.731 52.636 23.83 13.31 299 224 0.875 bicubic -49.826 -48.991 -48.205 -45.970 +46 +71
183 hrnet_w30 dla169 27.460 28.313 72.540 71.687 46.544 47.391 53.456 52.609 37.71 53.39 224 0.875 bilinear -50.674 -50.375 -47.648 -46.945 +22 +20
184 regnetx_080 dla102x2 27.377 28.313 72.623 71.687 44.959 46.761 55.041 53.239 39.57 41.28 224 0.875 bicubic bilinear -51.797 -51.135 -49.597 -47.879 -17 -13
185 hrnet_w32 mixnet_xl 27.367 28.287 72.633 71.713 45.975 46.702 54.025 53.298 41.23 11.90 224 0.875 bilinear bicubic -51.057 -52.189 -48.227 -48.234 +12 -65
186 gluon_resnet50_v1s gluon_resnet50_v1d 27.350 28.246 72.650 71.754 45.253 45.878 54.747 54.122 25.68 25.58 224 0.875 bicubic -51.438 -50.828 -48.987 -48.592 -2 +4
187 densenetblur121d wide_resnet101_2 27.289 28.108 72.711 71.892 46.387 46.401 53.613 53.599 8.00 126.89 224 0.875 bicubic bilinear -49.185 -50.748 -46.709 -47.881 +65 +10
188 regnety_064 gluon_resnet101_v1c 27.269 28.104 72.731 71.896 44.855 45.961 55.145 54.039 30.58 44.57 224 0.875 bicubic -52.467 -51.430 -49.903 -48.617 -47 -21
189 densenet201 regnetx_320 27.259 28.093 72.741 71.907 46.230 45.126 53.770 54.874 20.01 107.81 224 0.875 bicubic -50.061 -52.153 -47.252 -49.900 +42 -54
190 efficientnet_b1_pruned densenet161 27.157 28.081 72.843 71.919 45.823 46.641 54.177 53.359 6.33 28.68 240 224 0.882 0.875 bicubic -51.117 -49.277 -47.985 -46.997 +10 +62
191 rexnet_130 regnety_320 27.092 28.059 72.908 71.941 45.900 45.444 54.100 54.556 7.56 145.05 224 0.875 bicubic -52.424 -52.753 -48.760 -49.800 -40 -80
192 vit_small_patch16_224 gernet_s 27.077 28.022 72.923 71.978 45.642 46.723 54.358 53.277 48.75 8.17 224 0.900 0.875 bicubic bilinear -50.795 -48.894 -47.749 -46.409 +23 +73
193 res2net50_26w_8s efficientnet_el_pruned 27.061 28.016 72.939 71.984 44.469 46.790 55.531 53.210 48.40 10.59 224 300 0.875 0.904 bilinear bicubic -52.069 -52.284 -49.935 -48.428 -24 -62
194 tv_resnet101 xception41 27.000 27.888 73.000 72.112 45.177 45.890 54.823 54.110 44.55 26.97 224 299 0.875 0.903 bilinear bicubic -50.314 -50.628 -48.379 -48.388 +38 +14
195 dla102x regnetx_160 26.992 27.817 73.008 72.183 45.497 45.617 54.503 54.383 26.31 54.28 224 0.875 bilinear bicubic -51.536 -52.039 -48.709 -49.213 -5 -43
196 resnext50d_32x4d tf_inception_v3 26.858 27.780 73.141 72.220 44.432 45.721 55.568 54.279 25.05 23.83 224 299 0.875 bicubic -52.830 -50.078 -50.412 -47.695 -52 +42
197 densenet169 res2net101_26w_4s 26.843 27.768 73.157 72.232 45.299 45.179 54.701 54.821 14.15 45.21 224 0.875 bicubic bilinear -49.107 -51.430 -47.695 -49.253 +60 -10
198 legacy_seresnext101_32x4d repvgg_b1 26.835 27.656 73.165 72.344 43.450 46.531 56.550 53.469 48.96 57.42 224 0.875 bilinear -53.447 -50.710 -51.575 -47.567 -81 +19
199 regnetx_064 hrnet_w44 26.835 27.621 73.165 72.379 44.921 45.837 55.079 54.163 26.21 67.06 224 0.875 bicubic bilinear -52.243 -51.275 -49.539 -48.531 -27 -3
200 regnetx_120 inception_v3 26.803 27.556 73.197 72.444 44.693 45.263 55.307 54.737 46.11 23.83 224 299 0.875 bicubic -52.771 -49.882 -49.999 -48.213 -51 +49
201 rexnet_100 pit_xs_224 26.778 27.491 73.222 72.509 45.363 45.900 54.637 54.100 4.80 10.62 224 0.875 0.900 bicubic -51.108 -50.691 -48.495 -48.268 +13 +22
202 regnety_120 regnetx_080 26.758 27.405 73.242 72.595 44.475 45.002 55.525 54.998 51.82 39.57 224 0.875 bicubic -53.616 -51.789 -50.633 -49.558 -93 -14
203 regnetx_032 hrnet_w30 26.688 27.381 73.312 72.619 45.234 46.554 54.766 53.446 15.30 37.71 224 0.875 bicubic bilinear -51.460 -50.825 -48.832 -47.668 +1 +19
204 legacy_seresnet152 hrnet_w32 26.656 27.369 73.344 72.631 44.025 45.994 55.975 54.006 66.82 41.23 224 0.875 bilinear -51.988 -51.081 -50.365 -48.192 -18 +9
205 dla60x gluon_resnet50_v1s 26.648 27.326 73.352 72.674 45.049 45.222 54.951 54.778 17.35 25.68 224 0.875 bilinear bicubic -51.578 -51.384 -48.939 -49.016 -3
206 densenet121 densenet201 26.623 27.265 73.377 72.735 45.833 46.222 54.167 53.778 7.98 20.01 224 0.875 bicubic -48.907 -50.021 -46.783 -47.256 +56 +48
207 res2net50_26w_6s densenetblur121d 26.603 27.228 73.397 72.772 43.939 46.299 56.061 53.701 37.05 8.00 224 0.875 bilinear bicubic -52.001 -49.360 -50.225 -46.893 -19 +66
208 efficientnet_es regnety_064 26.591 27.220 73.409 72.780 45.104 44.847 54.896 55.153 5.44 30.58 224 0.875 bicubic -51.441 -52.502 -48.796 -49.921 +1 -50
209 regnety_080 efficientnet_b1_pruned 26.570 27.181 73.430 72.819 44.371 45.872 55.629 54.128 39.18 6.33 224 240 0.875 0.882 bicubic -53.270 -51.055 -50.477 -47.962 -72 +12
210 repvgg_b1g4 rexnet_130 26.544 27.094 73.456 72.906 45.090 45.933 54.910 54.067 39.97 7.56 224 0.875 bilinear bicubic -50.996 -52.406 -48.704 -48.749 +14 -42
211 tf_efficientnet_b0 vit_small_patch16_224 26.491 27.086 73.509 72.914 45.666 45.701 54.334 54.299 5.29 48.75 224 0.875 0.900 bicubic -50.339 -50.772 -47.606 -48.169 +34 +25
212 res2net50_14w_8s res2net50_26w_8s 26.467 27.078 73.533 72.921 44.357 44.428 55.643 55.572 25.06 48.40 224 0.875 bilinear -51.651 -52.119 -49.479 -49.940 -6 -26
213 gluon_resnet50_v1b dla102x 26.375 27.061 73.625 72.939 44.045 45.475 55.955 54.525 25.56 26.31 224 0.875 bicubic bilinear -51.289 -51.449 -49.629 -48.753 +6 -4
214 tf_efficientnet_el tv_resnet101 26.340 26.963 73.660 73.037 44.188 45.234 55.812 54.766 10.59 44.55 300 224 0.904 0.875 bicubic bilinear -53.952 -50.411 -50.932 -48.306 -98 +37
215 regnetx_040 resnext50d_32x4d 26.232 26.876 73.768 73.124 44.404 44.436 55.596 55.564 22.12 25.05 224 0.875 bicubic -52.262 -52.800 -49.865 -50.430 -21 -53
216 dpn68 regnetx_120 26.122 26.868 73.878 73.132 44.226 44.682 55.774 55.318 12.61 46.11 224 0.875 bicubic -50.256 -52.728 -48.752 -50.056 +37 -52
217 hrnet_w18 rexnet_100 25.917 26.831 74.083 73.169 44.843 45.369 55.157 54.631 21.30 4.80 224 0.875 bilinear bicubic -50.915 -51.027 -48.561 -48.269 +27 +20
218 regnety_040 densenet169 25.915 26.829 74.085 73.171 43.860 45.373 56.140 54.627 20.65 14.15 224 0.875 bicubic -53.301 -49.077 -50.802 -47.653 -54 +64
219 tresnet_m_448 legacy_seresnext101_32x4d 25.856 26.811 74.144 73.189 42.883 43.497 57.117 56.503 31.39 48.96 448 224 0.875 bilinear -55.836 -53.417 -52.677 -51.521 -150 -83
220 res2net50_26w_4s regnety_120 25.839 26.788 74.161 73.212 43.141 44.454 56.859 55.546 25.70 51.82 224 0.875 bilinear bicubic -52.127 -53.578 -50.689 -50.672 -10 -94
221 resnet34 regnetx_064 25.835 26.784 74.165 73.216 43.939 44.927 56.061 55.073 21.80 26.21 224 0.875 bilinear bicubic -49.261 -52.288 -48.307 -49.531 +49 -30
222 gluon_resnet50_v1c regnetx_032 25.801 26.703 74.199 73.297 43.031 45.236 56.969 54.764 25.58 15.30 224 0.875 bicubic -52.125 -51.469 -50.975 -48.852 -11 +2
223 selecsls60 legacy_seresnet152 25.793 26.676 74.207 73.324 44.011 43.947 55.989 56.053 30.67 66.82 224 0.875 bicubic bilinear -52.121 -51.984 -49.811 -50.423 -10 -18
224 dla60_res2net densenet121 25.650 26.664 74.350 73.336 43.611 45.900 56.389 54.100 20.85 7.98 224 0.875 bilinear bicubic -52.872 -48.914 -50.641 -46.752 -33 +62
225 dla60_res2next efficientnet_es 25.648 26.621 74.352 73.379 43.617 45.112 56.383 54.888 17.03 5.44 224 0.875 bilinear bicubic -52.674 -51.445 -50.573 -48.814 -26 +3
226 mixnet_l res2net50_26w_6s 25.558 26.595 74.442 73.405 43.508 43.990 56.492 56.010 7.33 37.05 224 0.875 bicubic bilinear -53.374 -51.975 -50.676 -50.134 -50 -19
227 ecaresnet26t repvgg_b1g4 25.556 26.579 74.444 73.421 43.595 45.084 56.405 54.916 16.01 39.97 320 224 0.950 0.875 bicubic bilinear -54.328 -51.015 -51.477 -48.742 -96 +17
228 tf_efficientnet_lite1 dla60x 25.522 26.552 74.478 73.448 43.538 45.023 56.462 54.977 5.42 17.35 240 224 0.882 0.875 bicubic bilinear -51.106 -51.694 -49.710 -48.995 +19 -9
229 efficientnet_b1 regnety_080 25.497 26.524 74.503 73.476 43.267 44.359 56.733 55.641 7.79 39.18 240 224 0.875 bicubic -53.107 -53.352 -50.827 -50.471 -42 -79
230 repvgg_a2 tf_efficientnet_b0 25.467 26.485 74.533 73.515 44.010 45.646 55.990 54.354 28.21 5.29 224 0.875 bilinear bicubic -51.021 -50.363 -49.013 -47.582 +21 +37
231 tv_resnext50_32x4d res2net50_14w_8s 25.465 26.483 74.535 73.517 42.768 44.371 57.232 55.629 25.03 25.06 224 0.875 bilinear -52.163 -51.667 -50.912 -49.477 -11 -6
232 res2next50 gluon_resnet50_v1b 25.428 26.436 74.572 73.564 42.502 44.035 57.498 55.965 24.67 25.56 224 0.875 bilinear bicubic -52.652 -51.144 -51.450 -49.681 -25 +14
233 tf_mixnet_l tf_efficientnet_el 25.412 26.357 74.588 73.643 42.571 44.175 57.429 55.825 7.33 10.59 224 300 0.875 0.904 bicubic -53.390 -53.893 -51.483 -50.953 -50 -99
234 dla102 regnetx_040 25.322 26.243 74.678 73.757 43.898 44.438 56.102 55.562 33.27 22.12 224 0.875 bilinear bicubic -52.732 -52.239 -50.021 -49.806 -26 -24
235 legacy_seresnet101 dpn68 25.306 26.129 74.694 73.871 42.874 44.228 57.126 55.772 49.33 12.61 224 0.875 bilinear bicubic -53.114 -50.189 -51.300 -48.750 -37 +42
236 selecsls60b hrnet_w18 25.302 25.986 74.698 74.014 43.485 44.813 56.515 55.187 32.77 21.30 224 0.875 bicubic bilinear -53.194 -50.772 -50.707 -48.631 -44 +33
237 legacy_seresnext50_32x4d hardcorenas_f 25.292 25.951 74.708 74.049 41.923 44.220 58.077 55.780 27.56 8.20 224 0.875 bilinear -53.816 -52.153 -52.555 -49.582 -66 -10
238 resnest14d regnety_040 25.282 25.923 74.718 74.077 44.011 43.848 55.989 56.152 10.61 20.65 224 0.875 bilinear bicubic -50.305 -53.297 -48.477 -50.808 +22 -54
239 res2net50_48w_2s resnet34 25.066 25.888 74.934 74.112 42.157 43.982 57.843 56.018 25.29 21.80 224 0.875 bilinear -52.452 -49.222 -51.425 -48.302 -14 +57
240 efficientnet_b0 res2net50_26w_4s 24.976 25.866 75.024 74.134 42.762 43.155 57.238 56.845 5.29 25.70 224 0.875 bicubic bilinear -52.634 -52.098 -50.802 -50.699 -18 -7
241 gluon_resnet34_v1b tresnet_m_448 24.976 25.852 75.024 74.148 42.235 42.874 57.765 57.126 21.80 31.39 224 448 0.875 bicubic bilinear -49.520 -55.862 -49.773 -52.698 +38 -159
242 mobilenetv2_120d hardcorenas_c 24.876 25.815 75.124 74.185 43.082 44.772 56.918 55.228 5.83 5.52 224 0.875 bicubic bilinear -52.452 -51.239 -50.396 -48.386 -12 +19
243 dla60 gluon_resnet50_v1c 24.868 25.784 75.132 74.216 43.281 43.031 56.719 56.969 22.04 25.58 224 0.875 bilinear bicubic -52.056 -52.228 -50.010 -50.957 -3 -13
244 regnety_016 selecsls60 24.842 25.729 75.158 74.272 42.650 44.065 57.350 55.935 11.20 30.67 224 0.875 bicubic -52.962 -52.254 -51.000 -49.764 -26 -12
245 tf_efficientnet_lite2 hardcorenas_e 24.510 25.662 75.490 74.338 42.316 43.412 57.684 56.588 6.09 8.07 260 224 0.890 0.875 bicubic bilinear -52.930 -52.132 -51.446 -50.282 -18 -6
246 skresnet18 dla60_res2net 24.471 25.652 75.529 74.348 42.605 43.599 57.395 56.401 11.96 20.85 224 0.875 bicubic bilinear -48.529 -52.812 -48.552 -50.607 +43 -34
247 regnetx_016 dla60_res2next 24.436 25.640 75.564 74.360 42.434 43.670 57.566 56.330 9.19 17.03 224 0.875 bicubic bilinear -52.478 -52.800 -50.938 -50.482 -6 -33
248 tf_efficientnet_lite0 ecaresnet26t 24.326 25.538 75.674 74.462 42.477 43.660 57.523 56.340 4.65 16.01 224 320 0.875 0.950 bicubic -50.542 -54.316 -49.653 -51.424 +27 -94
249 resnetv2_50x1_bitm mixnet_l 24.206 25.512 75.794 74.488 43.469 43.455 56.531 56.545 25.55 7.33 480 224 1.000 0.875 bilinear bicubic -55.946 -53.464 -52.175 -50.727 -125 -55
250 tv_resnet50 tf_efficientnet_lite1 24.157 25.499 75.844 74.501 41.331 43.585 58.669 56.415 25.56 5.42 224 240 0.875 0.882 bilinear bicubic -51.855 -51.143 -51.603 -49.641 +6 +21
251 legacy_seresnet34 efficientnet_b1 24.058 25.469 75.942 74.531 41.889 43.284 58.111 56.716 21.96 7.79 224 240 0.875 bilinear bicubic -50.854 -53.229 -50.275 -50.860 +23 -48
252 resnet18d tv_resnext50_32x4d 23.964 25.455 76.036 74.545 42.329 42.787 57.671 57.213 11.71 25.03 224 0.875 bicubic bilinear -48.416 -52.165 -48.381 -50.909 +41 -10
253 efficientnet_lite0 repvgg_a2 23.836 25.436 76.164 74.564 42.094 43.939 57.906 56.061 4.65 28.21 224 0.875 bicubic bilinear -51.608 -51.024 -50.450 -49.065 +11 +23
254 tv_densenet121 tf_mixnet_l 23.832 25.422 76.168 74.578 41.915 42.534 58.085 57.466 7.98 7.33 224 0.875 bicubic -50.914 -53.352 -50.215 -51.464 +22 -53
255 mobilenetv2_140 hardcorenas_b 23.709 25.402 76.291 74.598 41.473 44.190 58.527 55.810 6.11 5.18 224 0.875 bicubic bilinear -52.829 -51.136 -51.471 -48.564 -5 +19
256 mixnet_m res2next50 23.703 25.389 76.297 74.611 41.190 42.508 58.810 57.492 5.01 24.67 224 0.875 bicubic bilinear -53.473 -52.857 -52.236 -51.384 -22 -36
257 dla34 legacy_seresnet101 23.661 25.334 76.339 74.666 41.522 42.825 58.478 57.175 15.74 49.33 224 0.875 bilinear -50.975 -53.048 -50.600 -51.439 +21 -41
258 legacy_seresnet50 selecsls60b 23.644 25.332 76.356 74.668 40.048 43.559 59.952 56.441 28.09 32.77 224 0.875 bilinear bicubic -53.968 -53.080 -53.748 -50.615 -37 -43
259 ese_vovnet19b_dw dla102 23.496 25.316 76.504 74.684 41.262 43.827 58.738 56.173 6.54 33.27 224 0.875 bicubic bilinear -53.276 -52.716 -52.014 -50.119 -13 -30
260 tf_mixnet_m hardcorenas_d 23.477 25.300 76.523 74.700 40.956 43.121 59.044 56.879 5.01 7.50 224 0.875 bicubic bilinear -53.487 -52.132 -52.256 -50.363 -21 -10
261 tv_resnet34 resnest14d 23.467 25.284 76.533 74.716 41.420 44.114 58.580 55.886 21.80 10.61 224 0.875 bilinear -49.799 -50.220 -50.010 -48.404 +27
262 selecsls42b legacy_seresnext50_32x4d 23.341 25.210 76.659 74.790 40.675 41.936 59.325 58.064 32.46 27.56 224 0.875 bicubic bilinear -53.755 -53.868 -52.717 -52.500 -26 -73
263 tf_efficientnet_em res2net50_48w_2s 23.314 25.027 76.686 74.973 40.425 42.208 59.575 57.792 6.90 25.29 240 224 0.882 0.875 bicubic bilinear -54.846 -52.495 -53.621 -51.346 -60 -16
264 repvgg_b0 efficientnet_b0 23.302 25.015 76.698 74.985 41.146 42.787 58.854 57.213 15.82 5.29 224 0.875 bilinear bicubic -51.912 -52.683 -51.308 -50.745 +3 -24
265 mobilenetv2_110d gluon_resnet34_v1b 23.095 24.939 76.905 75.061 40.748 42.243 59.252 57.757 4.52 21.80 224 0.875 bicubic -51.953 -49.649 -51.385 -49.747 +7 +40
266 vit_deit_tiny_distilled_patch16_224 mobilenetv2_120d 22.728 24.937 77.272 75.063 40.793 43.058 59.207 56.942 5.91 5.83 224 0.900 0.875 bicubic -51.766 -52.347 -51.091 -50.434 +14 -11
267 mobilenetv3_large_100 dla60 22.697 24.933 77.303 75.067 40.793 43.296 59.207 56.704 5.48 22.04 224 0.875 bicubic bilinear -53.013 -52.099 -51.703 -50.022 -9 -5
268 mobilenetv3_rw regnety_016 22.640 24.811 77.361 75.189 40.352 42.616 59.648 57.384 5.48 11.20 224 0.875 bicubic -52.903 -53.051 -52.324 -51.104 -7 -33
269 tf_mobilenetv3_large_100 tf_efficientnet_lite2 22.565 24.530 77.435 75.470 39.702 42.280 60.298 57.720 5.48 6.09 224 260 0.875 0.890 bilinear bicubic -52.955 -52.938 -52.848 -51.474 -6 -21
270 tf_efficientnet_es skresnet18 22.392 24.483 77.608 75.517 39.071 42.536 60.929 57.464 5.44 11.96 224 0.875 bicubic -54.170 -48.555 -54.113 -48.632 -21 +46
271 hrnet_w18_small_v2 regnetx_016 22.347 24.473 77.653 75.527 39.851 42.514 60.149 57.486 15.60 9.19 224 0.875 bilinear bicubic -52.817 -52.477 -52.579 -50.906 -2 -8
272 regnety_008 pit_ti_distilled_224 22.066 24.406 77.934 75.594 38.873 42.730 61.127 57.270 6.26 5.10 224 0.875 0.900 bicubic -54.258 -50.124 -54.227 -49.366 -18 +34
273 seresnext26t_32x4d tf_efficientnet_lite0 22.011 24.373 77.989 75.627 38.484 42.487 61.516 57.513 16.81 4.65 224 0.875 bicubic -55.819 -50.457 -55.244 -49.689 -57 +27
274 regnety_006 hardcorenas_a 21.956 24.369 78.044 75.631 38.849 43.284 61.151 56.716 6.06 5.26 224 0.875 bicubic bilinear -53.250 -51.547 -53.711 -49.230 -6 +7
275 regnetx_008 resnetv2_50x1_bitm 21.930 24.233 78.070 75.767 38.987 43.477 61.013 56.523 7.26 25.55 224 480 0.875 1.000 bicubic bilinear -53.096 -55.939 -53.345 -52.149 -2 -137
276 resnet26d tv_resnet50 21.916 24.070 78.084 75.930 38.564 41.313 61.436 58.687 16.01 25.56 224 0.875 bicubic bilinear -54.684 -52.068 -54.624 -51.551 -28 +3
277 semnasnet_100 legacy_seresnet34 21.897 24.027 78.103 75.973 38.645 41.909 61.355 58.091 3.89 21.96 224 0.875 bicubic bilinear -53.529 -50.781 -53.903 -50.215 -12 +24
278 regnetx_006 resnet18d 21.700 23.929 78.300 76.071 38.938 42.300 61.062 57.700 6.20 11.71 224 0.875 bicubic -52.262 -48.331 -52.746 -48.396 +5 +45
279 vgg19_bn efficientnet_lite0 21.602 23.909 78.398 76.091 39.274 42.088 60.726 57.912 143.68 4.65 224 0.875 bilinear bicubic -52.614 -51.575 -52.574 -50.422 +2 +10
280 gluon_resnet18_v1b tv_densenet121 21.506 23.844 78.494 76.156 38.843 41.925 61.157 58.075 11.69 7.98 224 0.875 bicubic -49.416 -50.894 -50.927 -50.225 +21 +22
281 fbnetc_100 efficientnet_es_pruned 21.498 23.828 78.502 76.172 38.122 41.995 61.878 58.005 5.57 5.44 224 0.875 bilinear bicubic -53.584 -51.172 -54.232 -50.453 -10 +18
282 mnasnet_100 mobilenetv2_140 21.396 23.712 78.604 76.288 37.654 41.477 62.346 58.523 4.38 6.11 224 0.875 bicubic -53.296 -52.804 -54.486 -51.519 -5 -7
283 seresnext26d_32x4d mixnet_m 21.317 23.710 78.683 76.290 37.281 41.141 62.719 58.859 16.81 5.01 224 0.875 bicubic -56.201 -53.550 -56.325 -52.284 -57 -27
284 resnet26 dla34 21.295 23.669 78.705 76.331 38.040 41.551 61.960 58.449 16.00 15.74 224 0.875 bicubic bilinear -54.099 -50.961 -54.544 -50.527 -18 +20
285 mixnet_s legacy_seresnet50 21.282 23.651 78.718 76.349 38.173 40.091 61.827 59.909 4.13 28.09 224 0.875 bicubic bilinear -54.780 -53.978 -54.653 -53.657 -30 -44
286 ssl_resnet18 ese_vovnet19b_dw 21.274 23.535 78.726 76.465 39.038 41.288 60.962 58.712 11.69 6.54 224 0.875 bilinear bicubic -51.218 -53.263 -52.404 -51.980 +6 -18
287 legacy_seresnext26_32x4d tf_mixnet_m 21.095 23.484 78.905 76.516 37.609 40.989 62.391 59.011 16.79 5.01 224 0.875 bicubic -56.021 -53.458 -55.749 -52.163 -52 -23
288 regnetx_004 tv_resnet34 20.914 23.473 79.086 76.527 37.576 41.367 62.424 58.633 5.16 21.80 224 0.875 bicubic bilinear -51.622 -49.839 -53.266 -50.059 +3 +26
289 spnasnet_100 tf_efficientnet_em 20.822 23.359 79.178 76.641 37.853 40.404 62.147 59.596 4.42 6.90 224 240 0.875 0.882 bilinear bicubic -53.298 -54.771 -54.029 -53.640 -7 -63
290 legacy_seresnet18 selecsls42b 20.767 23.357 79.233 76.643 37.611 40.677 62.389 59.323 11.78 32.46 224 0.875 bicubic -50.985 -53.817 -52.697 -52.713 +8 -33
291 mobilenetv2_100 repvgg_b0 20.724 23.316 79.276 76.684 37.759 41.182 62.241 58.818 3.50 15.82 224 0.875 bicubic bilinear -52.233 -51.837 -53.283 -51.236 -1 +2
292 tf_mixnet_s mobilenetv2_110d 20.490 23.066 79.510 76.934 36.611 40.716 63.389 59.284 4.13 4.52 224 0.875 bicubic -55.168 -51.970 -56.007 -51.470 -33 +6
293 regnety_004 vit_deit_tiny_distilled_patch16_224 20.427 22.718 79.573 77.282 37.016 40.771 62.984 59.229 4.34 5.91 224 0.875 0.900 bicubic -53.515 -51.792 -54.738 -51.119 -9 +14
294 tf_mobilenetv3_large_075 mobilenetv3_large_100 20.393 22.655 79.607 77.345 36.812 40.781 63.188 59.219 3.99 5.48 224 0.875 bilinear bicubic -52.979 -53.111 -54.592 -51.761 -8 -11
295 hrnet_w18_small mobilenetv3_rw 20.340 22.630 79.660 77.370 37.067 40.374 62.933 59.626 13.19 5.48 224 0.875 bilinear bicubic -51.936 -53.004 -53.519 -52.334 0 -10
296 resnet18 tf_mobilenetv3_large_100 20.213 22.569 79.787 77.431 37.269 39.767 62.731 60.233 11.69 5.48 224 0.875 bilinear -49.431 -52.949 -51.713 -52.839 +9 -9
297 vit_deit_tiny_patch16_224 tf_efficientnet_es 20.183 22.413 79.817 77.587 37.544 39.095 62.456 60.905 5.72 5.44 224 0.900 0.875 bicubic -52.013 -54.180 -53.547 -54.107 0 -25
298 tf_mobilenetv3_large_minimal_100 hrnet_w18_small_v2 20.101 22.337 79.899 77.663 36.910 39.861 63.090 60.139 3.92 15.60 224 0.875 bilinear -52.127 -52.777 -53.772 -52.555 -2 -3
299 vgg16_bn regnety_008 19.902 22.119 80.098 77.881 36.265 38.900 63.735 61.100 138.37 6.26 224 0.875 bilinear bicubic -53.574 -54.197 -55.271 -54.166 -14 -21
300 vgg19 seresnext26t_32x4d 17.876 21.991 82.124 78.009 33.064 38.482 66.936 61.518 143.67 16.81 224 0.875 bilinear bicubic -54.484 -55.995 -57.786 -55.264 -6 -69
301 vgg13_bn regnety_006 17.819 21.971 82.181 78.029 34.078 38.955 65.922 61.045 133.05 6.06 224 0.875 bilinear bicubic -53.799 -53.275 -56.282 -53.577 -1 -9
302 vgg16 regnetx_008 17.509 21.940 82.491 78.060 32.724 38.928 67.276 61.072 138.36 7.26 224 0.875 bilinear bicubic -54.119 -53.098 -57.644 -53.408 -3 -5
303 regnety_002 resnet26d 17.446 21.907 82.554 78.094 32.370 38.619 67.629 61.381 3.16 16.01 224 0.875 bicubic -52.880 -54.789 -57.185 -54.531 0 -33
304 vgg11_bn semnasnet_100 17.328 21.903 82.672 78.097 32.966 38.600 67.034 61.400 132.87 3.89 224 0.875 bilinear bicubic -53.080 -53.545 -56.758 -54.004 -2 -14
305 regnetx_002 pit_ti_224 16.949 21.875 83.051 78.125 32.272 39.541 67.728 60.459 2.68 4.85 224 0.875 0.900 bicubic -51.881 -51.037 -56.238 -51.861 +2 +13
306 dla60x_c regnetx_006 16.359 21.738 83.641 78.263 31.753 38.904 68.247 61.096 1.32 6.20 224 0.875 bilinear bicubic -51.593 -52.115 -56.685 -52.768 +2 +5
307 tf_mobilenetv3_small_100 vgg19_bn 16.271 21.628 83.729 78.373 31.276 39.283 68.724 60.717 2.54 143.68 224 0.875 bilinear -51.605 -52.587 -56.406 -52.559 +2 +1
308 vgg13 gluon_resnet18_v1b 16.116 21.549 83.885 78.451 31.032 38.869 68.968 61.131 133.05 11.69 224 0.875 bilinear bicubic -53.868 -49.287 -58.274 -50.893 -4 +21
309 vgg11 fbnetc_100 15.738 21.484 84.262 78.516 30.482 38.161 69.518 61.839 132.86 5.57 224 0.875 bilinear -53.134 -53.640 -58.176 -54.224 -3 -15
310 tf_mobilenetv3_small_075 mnasnet_100 14.917 21.350 85.083 78.650 29.549 37.719 70.451 62.281 2.04 4.38 224 0.875 bilinear bicubic -50.815 -53.308 -56.619 -54.395 +1 -7
311 dla46_c resnet26 14.681 21.295 85.319 78.705 29.417 38.018 70.583 61.982 1.30 16.00 224 0.875 bilinear bicubic -50.249 -53.997 -56.891 -54.552 +1 -20
312 dla46x_c ssl_resnet18 14.433 21.278 85.567 78.722 29.250 39.113 70.750 60.887 1.07 11.69 224 0.875 bilinear -51.497 -51.332 -57.754 -52.303 -2 +7
313 tf_mobilenetv3_small_minimal_100 mixnet_s 13.956 21.254 86.044 78.746 28.043 38.187 71.957 61.813 2.04 4.13 224 0.875 bilinear bicubic -48.788 -54.738 -56.337 -54.609 0 -33
314 seresnext26d_32x4d 21.252 78.748 37.311 62.689 16.81 224 0.875 bicubic -56.350 -56.297 -71
315 legacy_seresnext26_32x4d 21.093 78.907 37.633 62.367 16.79 224 0.875 bicubic -56.011 -55.683 -56
316 regnetx_004 20.898 79.102 37.566 62.434 5.16 224 0.875 bicubic -51.498 -53.264 +4
317 spnasnet_100 20.863 79.137 37.896 62.104 4.42 224 0.875 bilinear -53.221 -53.922 -8
318 legacy_seresnet18 20.837 79.162 37.619 62.381 11.78 224 0.875 bicubic -50.905 -52.715 +8
319 mobilenetv2_100 20.773 79.227 37.759 62.241 3.50 224 0.875 bicubic -52.197 -53.257 -2
320 tf_mixnet_s 20.470 79.530 36.607 63.393 4.13 224 0.875 bicubic -55.180 -56.021 -36
321 regnety_004 20.415 79.585 37.002 62.998 4.34 224 0.875 bicubic -53.619 -54.750 -11
322 hrnet_w18_small 20.368 79.632 37.093 62.907 13.19 224 0.875 bilinear -51.976 -53.585 0
323 tf_mobilenetv3_large_075 20.366 79.634 36.764 63.236 3.99 224 0.875 bilinear -53.072 -54.586 -11
324 resnet18 20.228 79.772 37.261 62.739 11.69 224 0.875 bilinear -49.520 -51.817 +9
325 vit_deit_tiny_patch16_224 20.162 79.838 37.546 62.454 5.72 224 0.900 bicubic -52.007 -53.572 0
326 tf_mobilenetv3_large_minimal_100 20.122 79.878 36.908 63.092 3.92 224 0.875 bilinear -52.126 -53.722 -2
327 vgg16_bn 19.959 80.041 36.301 63.699 138.37 224 0.875 bilinear -53.391 -55.205 -14
328 vgg19 17.929 82.071 33.054 66.946 143.67 224 0.875 bilinear -54.439 -57.818 -7
329 vgg13_bn 17.802 82.198 34.039 65.961 133.05 224 0.875 bilinear -53.792 -56.337 -2
330 vgg16 17.540 82.460 32.773 67.227 138.36 224 0.875 bilinear -54.054 -57.609 -2
331 regnety_002 17.450 82.550 32.431 67.569 3.16 224 0.875 bicubic -52.802 -57.109 0
332 vgg11_bn 17.403 82.597 33.011 66.989 132.87 224 0.875 bilinear -52.957 -56.791 -2
333 regnetx_002 16.962 83.038 32.225 67.775 2.68 224 0.875 bicubic -51.800 -56.331 +2
334 dla60x_c 16.310 83.690 31.761 68.239 1.32 224 0.875 bilinear -51.582 -56.665 +3
335 tf_mobilenetv3_small_100 16.227 83.772 31.223 68.777 2.54 224 0.875 bilinear -51.694 -56.441 +1
336 vgg13 16.100 83.900 30.985 69.015 133.05 224 0.875 bilinear -53.826 -58.261 -4
337 vgg11 15.728 84.272 30.453 69.547 132.86 224 0.875 bilinear -53.296 -58.175 -3
338 tf_mobilenetv3_small_075 14.944 85.056 29.572 70.428 2.04 224 0.875 bilinear -50.772 -56.558 +1
339 dla46_c 14.657 85.343 29.380 70.620 1.30 224 0.875 bilinear -50.209 -56.912 +1
340 dla46x_c 14.382 85.618 29.191 70.809 1.07 224 0.875 bilinear -51.588 -57.789 -2
341 tf_mobilenetv3_small_minimal_100 13.964 86.036 27.988 72.012 2.04 224 0.875 bilinear -48.942 -56.242 0
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