Migrations
/
pytorch-image-models
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Update results csvs, run with PyTorch 1.7.1 cuda 10.2, some differences from prev run with older PT ver.

Browse Source
pull/475/head
Ross Wightman 4 years ago
parent 48371a33b1
commit 95feb1da41
8 changed files with 2491 additions and 2211 deletions
Show Stats Download Patch File Download Diff File

587
results/results-imagenet-a-clean.csv
Unescape View File

@ -1,278 +1,313 @@
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,98.540,1.460,99.820,0.180,480.31,800,0.960,bicubic tf_efficientnet_l2_ns,98.530,1.470,99.820,0.180,480.31,800,0.960,bicubic
tf_efficientnet_l2_ns_475,98.490,1.510,99.830,0.170,480.31,475,0.936,bicubic tf_efficientnet_l2_ns_475,98.530,1.470,99.840,0.160,480.31,475,0.936,bicubic
tf_efficientnet_b7_ns,97.880,2.120,99.720,0.280,66.35,600,0.949,bicubic tf_efficientnet_b7_ns,97.920,2.080,99.720,0.280,66.35,600,0.949,bicubic
ig_resnext101_32x48d,97.640,2.360,99.700,0.300,828.41,224,0.875,bilinear dm_nfnet_f6,97.740,2.260,99.580,0.420,438.36,576,0.956,bicubic
tf_efficientnet_b6_ns,97.630,2.370,99.580,0.420,43.04,528,0.942,bicubic tf_efficientnet_b6_ns,97.630,2.370,99.590,0.410,43.04,528,0.942,bicubic
tf_efficientnet_b5_ns,97.490,2.510,99.630,0.370,30.39,456,0.934,bicubic dm_nfnet_f4,97.580,2.420,99.530,0.470,316.07,512,0.951,bicubic
resnetv2_152x4_bitm,97.480,2.520,99.610,0.390,936.53,480,1.000,bilinear dm_nfnet_f5,97.580,2.420,99.550,0.450,377.21,544,0.954,bicubic
ig_resnext101_32x32d,97.360,2.640,99.680,0.320,468.53,224,0.875,bilinear ig_resnext101_32x48d,97.580,2.420,99.690,0.310,828.41,224,0.875,bilinear
tf_efficientnet_b8,97.210,2.790,99.500,0.500,87.41,672,0.954,bicubic tf_efficientnet_b5_ns,97.500,2.500,99.650,0.350,30.39,456,0.934,bicubic
tf_efficientnet_b7_ap,97.200,2.800,99.540,0.460,66.35,600,0.949,bicubic resnetv2_152x4_bitm,97.470,2.530,99.600,0.400,936.53,480,1.000,bilinear
swsl_resnext101_32x8d,97.190,2.810,99.570,0.430,88.79,224,0.875,bilinear dm_nfnet_f3,97.400,2.600,99.590,0.410,254.92,416,0.940,bicubic
vit_base_resnet50_384,97.180,2.820,99.560,0.440,98.95,384,1.000,bicubic ig_resnext101_32x32d,97.320,2.680,99.660,0.340,468.53,224,0.875,bilinear
resnetv2_152x2_bitm,97.130,2.870,99.590,0.410,236.34,480,1.000,bilinear tf_efficientnet_b8,97.230,2.770,99.500,0.500,87.41,672,0.954,bicubic
vit_large_patch16_384,97.120,2.880,99.640,0.360,304.72,384,1.000,bicubic tf_efficientnet_b7_ap,97.210,2.790,99.550,0.450,66.35,600,0.949,bicubic
tf_efficientnet_b8_ap,97.110,2.890,99.660,0.340,87.41,672,0.954,bicubic swsl_resnext101_32x8d,97.200,2.800,99.540,0.460,88.79,224,0.875,bilinear
tf_efficientnet_b6_ap,97.080,2.920,99.620,0.380,43.04,528,0.942,bicubic vit_base_resnet50_384,97.190,2.810,99.560,0.440,98.95,384,1.000,bicubic
resnetv2_101x3_bitm,97.080,2.920,99.510,0.490,387.93,480,1.000,bilinear resnetv2_152x2_bitm,97.160,2.840,99.580,0.420,236.34,480,1.000,bilinear
ecaresnet269d,97.140,2.860,99.460,0.540,102.09,352,1.000,bicubic
vit_large_patch16_384,97.130,2.870,99.640,0.360,304.72,384,1.000,bicubic
tf_efficientnet_b6_ap,97.110,2.890,99.610,0.390,43.04,528,0.942,bicubic
tf_efficientnet_b8_ap,97.100,2.900,99.660,0.340,87.41,672,0.954,bicubic
resnetv2_101x3_bitm,97.040,2.960,99.520,0.480,387.93,480,1.000,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,96.930,3.070,99.580,0.420,19.34,380,0.922,bicubic tf_efficientnet_b4_ns,96.960,3.040,99.600,0.400,19.34,380,0.922,bicubic
ig_resnext101_32x16d,96.830,3.170,99.590,0.410,194.03,224,0.875,bilinear vit_deit_base_distilled_patch16_384,96.960,3.040,99.490,0.510,87.63,384,1.000,bicubic
resnetv2_50x3_bitm,96.780,3.220,99.420,0.580,217.32,480,1.000,bilinear dm_nfnet_f1,96.930,3.070,99.380,0.620,132.63,320,0.910,bicubic
seresnet152d_320,96.770,3.230,99.450,0.550,66.84,320,1.000,bicubic dm_nfnet_f2,96.890,3.110,99.450,0.550,193.78,352,0.920,bicubic
resnet200d_320,96.740,3.260,99.340,0.660,64.69,320,1.000,bicubic ig_resnext101_32x16d,96.820,3.180,99.610,0.390,194.03,224,0.875,bilinear
vit_base_patch16_384,96.710,3.290,99.510,0.490,86.86,384,1.000,bicubic seresnet152d,96.810,3.190,99.450,0.550,66.84,320,1.000,bicubic
tf_efficientnet_b5_ap,96.690,3.310,99.460,0.540,30.39,456,0.934,bicubic resnetv2_50x3_bitm,96.770,3.230,99.430,0.570,217.32,480,1.000,bilinear
tf_efficientnet_b6,96.670,3.330,99.370,0.630,43.04,528,0.942,bicubic vit_base_patch16_384,96.740,3.260,99.480,0.520,86.86,384,1.000,bicubic
resnest200e,96.620,3.380,99.350,0.650,70.20,320,0.909,bicubic resnet200d,96.720,3.280,99.340,0.660,64.69,320,1.000,bicubic
swsl_resnext101_32x16d,96.600,3.400,99.520,0.480,194.03,224,0.875,bilinear tf_efficientnet_b6,96.690,3.310,99.370,0.630,43.04,528,0.942,bicubic
seresnet152d,96.570,3.430,99.400,0.600,66.84,256,0.940,bicubic tf_efficientnet_b5_ap,96.670,3.330,99.470,0.530,30.39,456,0.934,bicubic
resnest269e,96.520,3.480,99.350,0.650,110.93,416,0.928,bicubic swsl_resnext101_32x16d,96.610,3.390,99.520,0.480,194.03,224,0.875,bilinear
swsl_resnext101_32x4d,96.410,3.590,99.470,0.530,44.18,224,0.875,bilinear resnest200e,96.550,3.450,99.320,0.680,70.20,320,0.909,bicubic
tf_efficientnet_b3_ns,96.370,3.630,99.350,0.650,12.23,300,0.904,bicubic resnest269e,96.550,3.450,99.350,0.650,110.93,416,0.928,bicubic
resnet152d_320,96.350,3.650,99.390,0.610,60.21,320,1.000,bicubic swsl_resnext101_32x4d,96.400,3.600,99.450,0.550,44.18,224,0.875,bilinear
tf_efficientnet_b5,96.340,3.660,99.310,0.690,30.39,456,0.934,bicubic tf_efficientnet_b3_ns,96.380,3.620,99.340,0.660,12.23,300,0.904,bicubic
ig_resnext101_32x8d,96.310,3.690,99.430,0.570,88.79,224,0.875,bilinear tf_efficientnet_b5,96.350,3.650,99.320,0.680,30.39,456,0.934,bicubic
resnet101d_320,96.290,3.710,99.230,0.770,44.57,320,1.000,bicubic resnet152d,96.350,3.650,99.370,0.630,60.21,320,1.000,bicubic
resnet200d,96.290,3.710,99.250,0.750,64.69,256,0.940,bicubic resnet101d,96.300,3.700,99.240,0.760,44.57,320,1.000,bicubic
tf_efficientnet_b4_ap,96.170,3.830,99.280,0.720,19.34,380,0.922,bicubic ig_resnext101_32x8d,96.270,3.730,99.410,0.590,88.79,224,0.875,bilinear
resnetv2_101x1_bitm,96.070,3.930,99.300,0.700,44.54,480,1.000,bilinear vit_deit_base_patch16_384,96.170,3.830,99.140,0.860,86.86,384,1.000,bicubic
resnet152d,95.990,4.010,99.260,0.740,60.21,256,0.940,bicubic tf_efficientnet_b4_ap,96.150,3.850,99.250,0.750,19.34,380,0.922,bicubic
tresnet_xl_448,95.970,4.030,99.120,0.880,78.44,448,0.875,bilinear dm_nfnet_f0,96.140,3.860,99.240,0.760,71.49,256,0.900,bicubic
vit_large_patch16_224,95.940,4.060,99.240,0.760,304.33,224,0.900,bicubic vit_deit_base_distilled_patch16_224,96.110,3.890,99.180,0.820,87.34,224,0.900,bicubic
resnet101d,95.930,4.070,99.070,0.930,44.57,256,0.940,bicubic resnetv2_101x1_bitm,96.090,3.910,99.310,0.690,44.54,480,1.000,bilinear
tf_efficientnet_b4,95.890,4.110,99.170,0.830,19.34,380,0.922,bicubic vit_large_patch16_224,95.940,4.060,99.220,0.780,304.33,224,0.900,bicubic
swsl_resnext50_32x4d,95.880,4.120,99.250,0.750,25.03,224,0.875,bilinear tresnet_xl_448,95.930,4.070,99.160,0.840,78.44,448,0.875,bilinear
tresnet_l_448,95.860,4.140,99.120,0.880,55.99,448,0.875,bilinear resnest101e,95.910,4.090,99.180,0.820,48.28,256,0.875,bilinear
resnest101e,95.850,4.150,99.210,0.790,48.28,256,0.875,bilinear swsl_resnext50_32x4d,95.900,4.100,99.250,0.750,25.03,224,0.875,bilinear
ssl_resnext101_32x16d,95.810,4.190,99.180,0.820,194.03,224,0.875,bilinear tf_efficientnet_b4,95.870,4.130,99.140,0.860,19.34,380,0.922,bicubic
vit_base_patch32_384,95.810,4.190,99.150,0.850,88.30,384,1.000,bicubic tresnet_l_448,95.850,4.150,99.140,0.860,55.99,448,0.875,bilinear
tf_efficientnet_b2_ns,95.740,4.260,99.120,0.880,9.11,260,0.890,bicubic vit_base_patch32_384,95.820,4.180,99.150,0.850,88.30,384,1.000,bicubic
efficientnet_b3a,95.720,4.280,99.040,0.960,12.23,320,1.000,bicubic vit_large_patch32_384,95.810,4.190,99.150,0.850,306.63,384,1.000,bicubic
nasnetalarge,95.680,4.320,98.930,1.070,88.75,331,0.911,bicubic tf_efficientnet_b2_ns,95.750,4.250,99.150,0.850,9.11,260,0.890,bicubic
efficientnet_b3,95.580,4.420,99.100,0.900,12.23,300,0.904,bicubic efficientnet_b3a,95.720,4.280,99.050,0.950,12.23,320,1.000,bicubic
ecaresnet101d,95.540,4.460,99.130,0.870,44.57,224,0.875,bicubic pnasnet5large,95.690,4.310,98.900,1.100,86.06,331,0.911,bicubic
ssl_resnext101_32x8d,95.470,4.530,99.110,0.890,88.79,224,0.875,bilinear nasnetalarge,95.690,4.310,98.950,1.050,88.75,331,0.911,bicubic
tresnet_xl,95.440,4.560,99.060,0.940,78.44,224,0.875,bilinear ssl_resnext101_32x16d,95.640,4.360,99.130,0.870,194.03,224,0.875,bilinear
ssl_resnext101_32x4d,95.430,4.570,99.130,0.870,44.18,224,0.875,bilinear swsl_resnet50,95.550,4.450,99.260,0.740,25.56,224,0.875,bilinear
swsl_resnet50,95.410,4.590,99.280,0.720,25.56,224,0.875,bilinear ecaresnet50t,95.520,4.480,99.110,0.890,25.57,320,0.950,bicubic
regnety_032,95.360,4.640,99.100,0.900,19.44,224,0.875,bicubic ssl_resnext101_32x4d,95.510,4.490,99.060,0.940,44.18,224,0.875,bilinear
vit_base_patch16_224,95.340,4.660,99.000,1.000,86.57,224,0.900,bicubic ecaresnet101d,95.490,4.510,99.090,0.910,44.57,224,0.875,bicubic
tf_efficientnet_b3_ap,95.320,4.680,98.900,1.100,12.23,300,0.904,bicubic tresnet_xl,95.470,4.530,99.140,0.860,78.44,224,0.875,bilinear
tresnet_l,95.290,4.710,99.010,0.990,55.99,224,0.875,bilinear ssl_resnext101_32x8d,95.440,4.560,99.140,0.860,88.79,224,0.875,bilinear
tf_efficientnet_b1_ns,95.170,4.830,99.110,0.890,7.79,240,0.882,bicubic vit_deit_base_patch16_224,95.440,4.560,98.820,1.180,86.57,224,0.900,bicubic
ecaresnet101d_pruned,95.070,4.930,98.980,1.020,24.88,224,0.875,bicubic efficientnet_b3,95.420,4.580,99.100,0.900,12.23,300,0.904,bicubic
wide_resnet50_2,95.070,4.930,98.970,1.030,68.88,224,0.875,bicubic vit_base_patch16_224,95.360,4.640,99.000,1.000,86.57,224,0.900,bicubic
legacy_senet154,95.060,4.940,98.830,1.170,115.09,224,0.875,bilinear tf_efficientnet_b3_ap,95.310,4.690,98.940,1.060,12.23,300,0.904,bicubic
gluon_resnet152_v1s,95.050,4.950,98.930,1.070,60.32,224,0.875,bicubic gernet_l,95.190,4.810,98.870,1.130,31.08,256,0.875,bilinear
resnetv2_50x1_bitm,95.040,4.960,99.160,0.840,25.55,480,1.000,bilinear regnety_032,95.180,4.820,99.140,0.860,19.44,224,0.875,bicubic
seresnext50_32x4d,95.040,4.960,98.890,1.110,27.56,224,0.875,bicubic tf_efficientnet_b1_ns,95.180,4.820,99.080,0.920,7.79,240,0.882,bicubic
tf_efficientnet_b3,95.010,4.990,98.910,1.090,12.23,300,0.904,bicubic tresnet_l,95.180,4.820,99.010,0.990,55.99,224,0.875,bilinear
tresnet_m_448,94.990,5.010,98.980,1.020,31.39,448,0.875,bilinear gluon_resnet152_v1s,95.110,4.890,98.930,1.070,60.32,224,0.875,bicubic
resnest50d_4s2x40d,94.950,5.050,99.070,0.930,30.42,224,0.875,bicubic ecaresnet101d_pruned,95.080,4.920,98.960,1.040,24.88,224,0.875,bicubic
gluon_seresnext101_64x4d,94.950,5.050,98.820,1.180,88.23,224,0.875,bicubic seresnext50_32x4d,95.080,4.920,98.910,1.090,27.56,224,0.875,bicubic
gluon_senet154,94.930,5.070,98.770,1.230,115.09,224,0.875,bicubic wide_resnet50_2,95.040,4.960,98.990,1.010,68.88,224,0.875,bicubic
rexnet_200,94.930,5.070,99.000,1.000,16.37,224,0.875,bicubic resnest50d_4s2x40d,95.040,4.960,99.090,0.910,30.42,224,0.875,bicubic
gluon_seresnext101_32x4d,94.920,5.080,98.810,1.190,48.96,224,0.875,bicubic resnetv2_50x1_bitm,95.030,4.970,99.170,0.830,25.55,480,1.000,bilinear
ssl_resnext50_32x4d,94.860,5.140,98.870,1.130,25.03,224,0.875,bilinear tf_efficientnet_b3,95.020,4.980,98.900,1.100,12.23,300,0.904,bicubic
tf_efficientnet_lite4,94.860,5.140,99.020,0.980,13.01,380,0.920,bilinear rexnet_200,95.000,5.000,98.970,1.030,16.37,224,0.875,bicubic
resnest50d,94.820,5.180,98.880,1.120,27.48,224,0.875,bilinear tf_efficientnet_lite4,94.980,5.020,98.990,1.010,13.01,380,0.920,bilinear
ecaresnetlight,94.780,5.220,98.800,1.200,30.16,224,0.875,bicubic tresnet_m_448,94.980,5.020,98.990,1.010,31.39,448,0.875,bilinear
resnest50d_1s4x24d,94.760,5.240,98.980,1.020,25.68,224,0.875,bicubic legacy_senet154,94.970,5.030,98.870,1.130,115.09,224,0.875,bilinear
gluon_resnet152_v1d,94.750,5.250,98.740,1.260,60.21,224,0.875,bicubic gluon_senet154,94.950,5.050,98.740,1.260,115.09,224,0.875,bicubic
efficientnet_b2,94.710,5.290,98.670,1.330,9.11,260,0.875,bicubic gluon_seresnext101_32x4d,94.940,5.060,98.730,1.270,48.96,224,0.875,bicubic
gluon_resnet101_v1s,94.700,5.300,98.820,1.180,44.67,224,0.875,bicubic ssl_resnext50_32x4d,94.930,5.070,98.850,1.150,25.03,224,0.875,bilinear
cspdarknet53,94.670,5.330,98.810,1.190,27.64,256,0.887,bilinear gluon_seresnext101_64x4d,94.880,5.120,98.840,1.160,88.23,224,0.875,bicubic
gluon_resnext101_64x4d,94.640,5.360,98.660,1.340,83.46,224,0.875,bicubic gluon_resnet101_v1s,94.750,5.250,98.890,1.110,44.67,224,0.875,bicubic
efficientnet_b2a,94.630,5.370,98.710,1.290,9.11,288,1.000,bicubic vit_deit_small_distilled_patch16_224,94.720,5.280,99.030,0.970,22.44,224,0.900,bicubic
efficientnet_b3_pruned,94.620,5.380,98.770,1.230,9.86,300,0.904,bicubic ecaresnetlight,94.690,5.310,98.800,1.200,30.16,224,0.875,bicubic
ecaresnet50d,94.620,5.380,98.890,1.110,25.58,224,0.875,bicubic gernet_m,94.670,5.330,98.840,1.160,21.14,224,0.875,bilinear
tf_efficientnet_el,94.610,5.390,98.750,1.250,10.59,300,0.904,bicubic resnest50d,94.670,5.330,98.790,1.210,27.48,224,0.875,bilinear
tresnet_m,94.610,5.390,98.550,1.450,31.39,224,0.875,bilinear gluon_resnet152_v1d,94.660,5.340,98.780,1.220,60.21,224,0.875,bicubic
seresnet50,94.560,5.440,98.750,1.250,28.09,224,0.875,bicubic resnest50d_1s4x24d,94.660,5.340,99.000,1.000,25.68,224,0.875,bicubic
regnety_320,94.550,5.450,98.840,1.160,145.05,224,0.875,bicubic efficientnet_b3_pruned,94.630,5.370,98.770,1.230,9.86,300,0.904,bicubic
gluon_resnext101_32x4d,94.520,5.480,98.630,1.370,44.18,224,0.875,bicubic gluon_resnext101_32x4d,94.630,5.370,98.630,1.370,44.18,224,0.875,bicubic
ssl_resnet50,94.490,5.510,98.920,1.080,25.56,224,0.875,bilinear nf_resnet50,94.620,5.380,98.780,1.220,25.56,288,0.940,bicubic
tf_efficientnet_b2_ap,94.490,5.510,98.620,1.380,9.11,260,0.890,bicubic efficientnet_b2a,94.620,5.380,98.730,1.270,9.11,288,1.000,bicubic
cspresnext50,94.480,5.520,98.680,1.320,20.57,224,0.875,bilinear regnety_320,94.610,5.390,98.840,1.160,145.05,224,0.875,bicubic
regnety_120,94.480,5.520,98.810,1.190,51.82,224,0.875,bicubic ecaresnet50d,94.610,5.390,98.870,1.130,25.58,224,0.875,bicubic
rexnet_150,94.470,5.530,98.790,1.210,9.73,224,0.875,bicubic tresnet_m,94.600,5.400,98.560,1.440,31.39,224,0.875,bilinear
regnetx_320,94.440,5.560,98.730,1.270,107.81,224,0.875,bicubic cspdarknet53,94.590,5.410,98.780,1.220,27.64,256,0.887,bilinear
tf_efficientnet_b2,94.370,5.630,98.610,1.390,9.11,260,0.890,bicubic efficientnet_b2,94.560,5.440,98.720,1.280,9.11,260,0.875,bicubic
legacy_seresnext101_32x4d,94.360,5.640,98.640,1.360,48.96,224,0.875,bilinear gluon_resnext101_64x4d,94.550,5.450,98.640,1.360,83.46,224,0.875,bicubic
gluon_seresnext50_32x4d,94.350,5.650,98.620,1.380,27.56,224,0.875,bicubic repvgg_b3,94.550,5.450,98.750,1.250,123.09,224,0.875,bilinear
regnety_160,94.350,5.650,98.850,1.150,83.59,224,0.875,bicubic seresnet50,94.500,5.500,98.710,1.290,28.09,224,0.875,bicubic
dpn107,94.310,5.690,98.480,1.520,86.92,224,0.875,bicubic repvgg_b3g4,94.490,5.510,98.950,1.050,83.83,224,0.875,bilinear
xception71,94.290,5.710,98.640,1.360,42.34,299,0.903,bicubic inception_resnet_v2,94.490,5.510,98.770,1.230,55.84,299,0.897,bicubic
resnet50d,94.270,5.730,98.720,1.280,25.58,224,0.875,bicubic tf_efficientnet_b2_ap,94.460,5.540,98.640,1.360,9.11,260,0.890,bicubic
gluon_xception65,94.260,5.740,98.570,1.430,39.92,299,0.903,bicubic cspresnext50,94.440,5.560,98.720,1.280,20.57,224,0.875,bilinear
skresnext50_32x4d,94.260,5.740,98.470,1.530,27.48,224,0.875,bicubic legacy_seresnext101_32x4d,94.430,5.570,98.580,1.420,48.96,224,0.875,bilinear
regnetx_120,94.240,5.760,98.670,1.330,46.11,224,0.875,bicubic regnety_120,94.430,5.570,98.870,1.130,51.82,224,0.875,bicubic
dpn92,94.220,5.780,98.730,1.270,37.67,224,0.875,bicubic ssl_resnet50,94.430,5.570,98.870,1.130,25.56,224,0.875,bilinear
ecaresnet50d_pruned,94.210,5.790,98.730,1.270,19.94,224,0.875,bicubic tf_efficientnet_el,94.420,5.580,98.750,1.250,10.59,300,0.904,bicubic
gluon_resnet101_v1d,94.200,5.800,98.560,1.440,44.57,224,0.875,bicubic regnety_160,94.410,5.590,98.880,1.120,83.59,224,0.875,bicubic
mixnet_xl,94.190,5.810,98.340,1.660,11.90,224,0.875,bicubic tf_efficientnet_b2,94.400,5.600,98.610,1.390,9.11,260,0.890,bicubic
resnext50d_32x4d,94.190,5.810,98.580,1.420,25.05,224,0.875,bicubic rexnet_150,94.400,5.600,98.820,1.180,9.73,224,0.875,bicubic
tf_efficientnet_lite3,94.190,5.810,98.640,1.360,8.20,300,0.904,bilinear inception_v4,94.360,5.640,98.560,1.440,42.68,299,0.875,bicubic
regnety_080,94.180,5.820,98.680,1.320,39.18,224,0.875,bicubic vit_deit_small_patch16_224,94.350,5.650,98.670,1.330,22.05,224,0.900,bicubic
gluon_resnet152_v1c,94.160,5.840,98.640,1.360,60.21,224,0.875,bicubic regnetx_320,94.340,5.660,98.810,1.190,107.81,224,0.875,bicubic
regnety_064,94.150,5.850,98.730,1.270,30.58,224,0.875,bicubic resnet50d,94.340,5.660,98.730,1.270,25.58,224,0.875,bicubic
efficientnet_b2_pruned,94.140,5.860,98.520,1.480,8.31,260,0.890,bicubic dpn107,94.330,5.670,98.530,1.470,86.92,224,0.875,bicubic
dpn98,94.130,5.870,98.570,1.430,61.57,224,0.875,bicubic ecaresnet26t,94.320,5.680,98.710,1.290,16.01,320,0.950,bicubic
regnetx_160,94.120,5.880,98.740,1.260,54.28,224,0.875,bicubic gluon_seresnext50_32x4d,94.310,5.690,98.590,1.410,27.56,224,0.875,bicubic
resnext50_32x4d,94.110,5.890,98.350,1.650,25.03,224,0.875,bicubic ecaresnet50d_pruned,94.280,5.720,98.790,1.210,19.94,224,0.875,bicubic
ese_vovnet39b,94.090,5.910,98.660,1.340,24.57,224,0.875,bicubic xception71,94.280,5.720,98.620,1.380,42.34,299,0.903,bicubic
gluon_resnet152_v1b,94.090,5.910,98.450,1.550,60.19,224,0.875,bicubic gluon_resnet101_v1d,94.270,5.730,98.640,1.360,44.57,224,0.875,bicubic
dpn131,94.000,6.000,98.720,1.280,79.25,224,0.875,bicubic gluon_xception65,94.250,5.750,98.590,1.410,39.92,299,0.903,bicubic
hrnet_w64,93.990,6.010,98.610,1.390,128.06,224,0.875,bilinear tf_efficientnet_lite3,94.240,5.760,98.630,1.370,8.20,300,0.904,bilinear
dla102x2,93.950,6.050,98.490,1.510,41.28,224,0.875,bilinear regnety_064,94.230,5.770,98.750,1.250,30.58,224,0.875,bicubic
resnetblur50,93.950,6.050,98.590,1.410,25.56,224,0.875,bicubic regnetx_160,94.220,5.780,98.800,1.200,54.28,224,0.875,bicubic
hrnet_w48,93.940,6.060,98.610,1.390,77.47,224,0.875,bilinear dpn92,94.210,5.790,98.730,1.270,37.67,224,0.875,bicubic
tf_efficientnet_cc_b1_8e,93.910,6.090,98.250,1.750,39.72,240,0.882,bicubic skresnext50_32x4d,94.200,5.800,98.460,1.540,27.48,224,0.875,bicubic
rexnet_130,93.900,6.100,98.400,1.600,7.56,224,0.875,bicubic mixnet_xl,94.190,5.810,98.350,1.650,11.90,224,0.875,bicubic
regnetx_064,93.890,6.110,98.630,1.370,26.21,224,0.875,bicubic gluon_resnet152_v1c,94.180,5.820,98.640,1.360,60.21,224,0.875,bicubic
regnetx_080,93.860,6.140,98.520,1.480,39.57,224,0.875,bicubic regnety_080,94.160,5.840,98.700,1.300,39.18,224,0.875,bicubic
regnety_040,93.860,6.140,98.640,1.360,20.65,224,0.875,bicubic resnext50d_32x4d,94.160,5.840,98.540,1.460,25.05,224,0.875,bicubic
efficientnet_em,93.850,6.150,98.810,1.190,6.90,240,0.882,bicubic ens_adv_inception_resnet_v2,94.160,5.840,98.630,1.370,55.84,299,0.897,bicubic
gluon_resnext50_32x4d,93.820,6.180,98.410,1.590,25.03,224,0.875,bicubic gluon_resnet152_v1b,94.160,5.840,98.520,1.480,60.19,224,0.875,bicubic
resnet50,93.810,6.190,98.380,1.620,25.56,224,0.875,bicubic ese_vovnet39b,94.160,5.840,98.690,1.310,24.57,224,0.875,bicubic
resnext101_32x8d,93.800,6.200,98.580,1.420,88.79,224,0.875,bilinear nf_regnet_b1,94.140,5.860,98.600,1.400,10.22,288,0.900,bicubic
gluon_resnet50_v1d,93.780,6.220,98.400,1.600,25.58,224,0.875,bicubic regnetx_120,94.120,5.880,98.740,1.260,46.11,224,0.875,bicubic
xception65,93.770,6.230,98.360,1.640,39.92,299,0.903,bicubic dpn98,94.100,5.900,98.580,1.420,61.57,224,0.875,bicubic
cspresnet50,93.750,6.250,98.630,1.370,21.62,256,0.887,bilinear efficientnet_b2_pruned,94.090,5.910,98.520,1.480,8.31,260,0.890,bicubic
gluon_resnet101_v1b,93.730,6.270,98.400,1.600,44.55,224,0.875,bicubic hrnet_w64,94.030,5.970,98.490,1.510,128.06,224,0.875,bilinear
res2net101_26w_4s,93.730,6.270,98.320,1.680,45.21,224,0.875,bilinear resnext50_32x4d,94.010,5.990,98.390,1.610,25.03,224,0.875,bicubic
wide_resnet101_2,93.730,6.270,98.540,1.460,126.89,224,0.875,bilinear resnetblur50,93.980,6.020,98.520,1.480,25.56,224,0.875,bicubic
legacy_seresnext50_32x4d,93.720,6.280,98.580,1.420,27.56,224,0.875,bilinear tf_efficientnet_cc_b1_8e,93.960,6.040,98.240,1.760,39.72,240,0.882,bicubic
tf_efficientnet_b1_ap,93.710,6.290,98.360,1.640,7.79,240,0.882,bicubic dla102x2,93.940,6.060,98.560,1.440,41.28,224,0.875,bilinear
dpn68b,93.680,6.320,98.520,1.480,12.61,224,0.875,bicubic regnetx_064,93.940,6.060,98.670,1.330,26.21,224,0.875,bicubic
gluon_resnet101_v1c,93.670,6.330,98.410,1.590,44.57,224,0.875,bicubic regnety_040,93.930,6.070,98.690,1.310,20.65,224,0.875,bicubic
gluon_resnet50_v1s,93.630,6.370,98.470,1.530,25.68,224,0.875,bicubic resnet50,93.930,6.070,98.340,1.660,25.56,224,0.875,bicubic
tf_efficientnet_b0_ns,93.620,6.380,98.640,1.360,5.29,224,0.875,bicubic repvgg_b2g4,93.920,6.080,98.600,1.400,61.76,224,0.875,bilinear
hrnet_w44,93.580,6.420,98.700,1.300,67.06,224,0.875,bilinear regnetx_080,93.900,6.100,98.540,1.460,39.57,224,0.875,bicubic
regnetx_040,93.560,6.440,98.550,1.450,22.12,224,0.875,bicubic efficientnet_em,93.900,6.100,98.820,1.180,6.90,240,0.882,bicubic
res2net50_26w_8s,93.540,6.460,98.270,1.730,48.40,224,0.875,bilinear dpn131,93.880,6.120,98.740,1.260,79.25,224,0.875,bicubic
hrnet_w32,93.520,6.480,98.430,1.570,41.23,224,0.875,bilinear wide_resnet101_2,93.880,6.120,98.570,1.430,126.89,224,0.875,bilinear
tf_efficientnet_b1,93.520,6.480,98.360,1.640,7.79,240,0.882,bicubic resnext101_32x8d,93.860,6.140,98.650,1.350,88.79,224,0.875,bilinear
dla102x,93.520,6.480,98.500,1.500,26.31,224,0.875,bilinear rexnet_130,93.840,6.160,98.400,1.600,7.56,224,0.875,bicubic
tf_efficientnet_em,93.500,6.500,98.440,1.560,6.90,240,0.882,bicubic hrnet_w48,93.830,6.170,98.630,1.370,77.47,224,0.875,bilinear
hrnet_w40,93.490,6.510,98.590,1.410,57.56,224,0.875,bilinear gluon_resnet101_v1c,93.790,6.210,98.400,1.600,44.57,224,0.875,bicubic
xception,93.470,6.530,98.530,1.470,22.86,299,0.897,bicubic gluon_resnet101_v1b,93.760,6.240,98.470,1.530,44.55,224,0.875,bicubic
gluon_inception_v3,93.460,6.540,98.560,1.440,23.83,299,0.875,bicubic xception65,93.760,6.240,98.350,1.650,39.92,299,0.903,bicubic
mixnet_l,93.430,6.570,98.220,1.780,7.33,224,0.875,bicubic cspresnet50,93.750,6.250,98.670,1.330,21.62,256,0.887,bilinear
legacy_seresnet152,93.420,6.580,98.350,1.650,66.82,224,0.875,bilinear legacy_seresnext50_32x4d,93.740,6.260,98.510,1.490,27.56,224,0.875,bilinear
xception41,93.410,6.590,98.420,1.580,26.97,299,0.903,bicubic gluon_resnext50_32x4d,93.720,6.280,98.470,1.530,25.03,224,0.875,bicubic
res2net50_26w_6s,93.400,6.600,98.280,1.720,37.05,224,0.875,bilinear gluon_resnet50_v1d,93.710,6.290,98.390,1.610,25.58,224,0.875,bicubic
resnest26d,93.370,6.630,98.640,1.360,17.07,224,0.875,bilinear gluon_resnet50_v1s,93.700,6.300,98.470,1.530,25.68,224,0.875,bicubic
dla169,93.340,6.660,98.600,1.400,53.39,224,0.875,bilinear tf_efficientnet_b1_ap,93.700,6.300,98.370,1.630,7.79,240,0.882,bicubic
tf_inception_v3,93.330,6.670,98.040,1.960,23.83,299,0.875,bicubic hrnet_w44,93.660,6.340,98.690,1.310,67.06,224,0.875,bilinear
tv_resnet152,93.320,6.680,98.390,1.610,60.19,224,0.875,bilinear res2net50_26w_8s,93.650,6.350,98.270,1.730,48.40,224,0.875,bilinear
tf_mixnet_l,93.300,6.700,98.030,1.970,7.33,224,0.875,bicubic res2net101_26w_4s,93.650,6.350,98.400,1.600,45.21,224,0.875,bilinear
legacy_seresnet101,93.290,6.710,98.500,1.500,49.33,224,0.875,bilinear dpn68b,93.600,6.400,98.510,1.490,12.61,224,0.875,bicubic
selecsls60b,93.290,6.710,98.280,1.720,32.77,224,0.875,bicubic dla102x,93.560,6.440,98.560,1.440,26.31,224,0.875,bilinear
efficientnet_b1,93.270,6.730,98.190,1.810,7.79,240,0.875,bicubic regnetx_040,93.550,6.450,98.460,1.540,22.12,224,0.875,bicubic
hrnet_w30,93.210,6.790,98.410,1.590,37.71,224,0.875,bilinear res2net50_26w_6s,93.530,6.470,98.430,1.570,37.05,224,0.875,bilinear
efficientnet_es,93.200,6.800,98.410,1.590,5.44,224,0.875,bicubic tf_efficientnet_b0_ns,93.520,6.480,98.620,1.380,5.29,224,0.875,bicubic
dla60_res2next,93.180,6.820,98.410,1.590,17.03,224,0.875,bilinear tf_efficientnet_b1,93.490,6.510,98.340,1.660,7.79,240,0.882,bicubic
dla60_res2net,93.150,6.850,98.420,1.580,20.85,224,0.875,bilinear hrnet_w32,93.470,6.530,98.390,1.610,41.23,224,0.875,bilinear
regnetx_032,93.120,6.880,98.390,1.610,15.30,224,0.875,bicubic gluon_inception_v3,93.460,6.540,98.600,1.400,23.83,299,0.875,bicubic
dla60x,93.100,6.900,98.490,1.510,17.35,224,0.875,bilinear xception41,93.460,6.540,98.410,1.590,26.97,299,0.903,bicubic
dla102,93.090,6.910,98.550,1.450,33.27,224,0.875,bilinear hrnet_w40,93.450,6.550,98.570,1.430,57.56,224,0.875,bilinear
seresnext26t_32x4d,93.060,6.940,98.100,1.900,16.82,224,0.875,bicubic repvgg_b2,93.440,6.560,98.700,1.300,89.02,224,0.875,bilinear
selecsls60,93.050,6.950,98.300,1.700,30.67,224,0.875,bicubic resnest26d,93.440,6.560,98.600,1.400,17.07,224,0.875,bilinear
gluon_resnet50_v1c,93.030,6.970,98.370,1.630,25.58,224,0.875,bicubic mixnet_l,93.440,6.560,98.270,1.730,7.33,224,0.875,bicubic
regnety_016,93.030,6.970,98.360,1.640,11.20,224,0.875,bicubic repvgg_b1,93.410,6.590,98.530,1.470,57.42,224,0.875,bilinear
rexnet_100,93.030,6.970,98.190,1.810,4.80,224,0.875,bicubic dla169,93.390,6.610,98.550,1.450,53.39,224,0.875,bilinear
legacy_seresnet50,92.950,7.050,98.190,1.810,28.09,224,0.875,bilinear xception,93.380,6.620,98.520,1.480,22.86,299,0.897,bicubic
adv_inception_v3,92.890,7.110,98.130,1.870,23.83,299,0.875,bicubic tf_mixnet_l,93.360,6.640,98.040,1.960,7.33,224,0.875,bicubic
res2next50,92.830,7.170,98.170,1.830,24.67,224,0.875,bilinear legacy_seresnet152,93.330,6.670,98.380,1.620,66.82,224,0.875,bilinear
tf_efficientnet_cc_b0_8e,92.820,7.180,98.180,1.820,24.01,224,0.875,bicubic tv_resnet152,93.330,6.670,98.370,1.630,60.19,224,0.875,bilinear
seresnext26tn_32x4d,92.810,7.190,98.370,1.630,16.81,224,0.875,bicubic selecsls60b,93.300,6.700,98.310,1.690,32.77,224,0.875,bicubic
tv_resnet101,92.800,7.200,98.230,1.770,44.55,224,0.875,bilinear legacy_seresnet101,93.280,6.720,98.470,1.530,49.33,224,0.875,bilinear
efficientnet_b1_pruned,92.770,7.230,98.040,1.960,6.33,240,0.882,bicubic tf_inception_v3,93.270,6.730,98.050,1.950,23.83,299,0.875,bicubic
vit_small_patch16_224,92.770,7.230,97.930,2.070,48.75,224,0.900,bicubic efficientnet_b1,93.250,6.750,98.170,1.830,7.79,240,0.875,bicubic
tv_resnext50_32x4d,92.760,7.240,98.270,1.730,25.03,224,0.875,bilinear regnety_016,93.250,6.750,98.400,1.600,11.20,224,0.875,bicubic
densenet201,92.750,7.250,98.240,1.760,20.01,224,0.875,bicubic dla60_res2net,93.190,6.810,98.390,1.610,20.85,224,0.875,bilinear
seresnext26d_32x4d,92.730,7.270,98.150,1.850,16.81,224,0.875,bicubic dla60_res2next,93.170,6.830,98.430,1.570,17.03,224,0.875,bilinear
inception_v3,92.720,7.280,97.960,2.040,23.83,299,0.875,bicubic dla60x,93.130,6.870,98.520,1.480,17.35,224,0.875,bilinear
res2net50_14w_8s,92.720,7.280,98.190,1.810,25.06,224,0.875,bilinear hrnet_w30,93.130,6.870,98.400,1.600,37.71,224,0.875,bilinear
resnet34d,92.690,7.310,98.300,1.700,21.82,224,0.875,bicubic dla102,93.090,6.910,98.490,1.510,33.27,224,0.875,bilinear
efficientnet_b0,92.670,7.330,98.080,1.920,5.29,224,0.875,bicubic rexnet_100,93.080,6.920,98.150,1.850,4.80,224,0.875,bicubic
tf_efficientnet_lite2,92.660,7.340,98.230,1.770,6.09,260,0.890,bicubic efficientnet_es,93.070,6.930,98.480,1.520,5.44,224,0.875,bicubic
legacy_seresnext26_32x4d,92.630,7.370,98.120,1.880,16.79,224,0.875,bicubic regnetx_032,93.060,6.940,98.340,1.660,15.30,224,0.875,bicubic
tf_efficientnet_lite1,92.620,7.380,98.080,1.920,5.42,240,0.882,bicubic gluon_resnet50_v1c,93.030,6.970,98.330,1.670,25.58,224,0.875,bicubic
tf_efficientnet_cc_b0_4e,92.610,7.390,98.080,1.920,13.31,224,0.875,bicubic legacy_seresnet50,93.010,6.990,98.180,1.820,28.09,224,0.875,bilinear
res2net50_48w_2s,92.560,7.440,98.070,1.930,25.29,224,0.875,bilinear selecsls60,92.960,7.040,98.220,1.780,30.67,224,0.875,bicubic
tf_efficientnet_es,92.550,7.450,98.290,1.710,5.44,224,0.875,bicubic tf_efficientnet_em,92.940,7.060,98.190,1.810,6.90,240,0.882,bicubic
gluon_resnet50_v1b,92.540,7.460,98.190,1.810,25.56,224,0.875,bicubic adv_inception_v3,92.890,7.110,98.170,1.830,23.83,299,0.875,bicubic
res2net50_26w_4s,92.490,7.510,98.060,1.940,25.70,224,0.875,bilinear res2next50,92.890,7.110,98.190,1.810,24.67,224,0.875,bilinear
densenet161,92.490,7.510,98.290,1.710,28.68,224,0.875,bicubic repvgg_b1g4,92.820,7.180,98.380,1.620,39.97,224,0.875,bilinear
mixnet_m,92.440,7.560,97.870,2.130,5.01,224,0.875,bicubic tf_efficientnet_cc_b0_8e,92.820,7.180,98.260,1.740,24.01,224,0.875,bicubic
mobilenetv2_120d,92.400,7.600,98.050,1.950,5.83,224,0.875,bicubic tv_resnet101,92.810,7.190,98.260,1.740,44.55,224,0.875,bilinear
skresnet34,92.380,7.620,98.140,1.860,22.28,224,0.875,bicubic res2net50_14w_8s,92.800,7.200,98.170,1.830,25.06,224,0.875,bilinear
tf_mixnet_m,92.330,7.670,97.890,2.110,5.01,224,0.875,bicubic resnet34d,92.770,7.230,98.260,1.740,21.82,224,0.875,bicubic
hrnet_w18,92.310,7.690,98.240,1.760,21.30,224,0.875,bilinear tv_resnext50_32x4d,92.770,7.230,98.200,1.800,25.03,224,0.875,bilinear
selecsls42b,92.300,7.700,98.150,1.850,32.46,224,0.875,bicubic efficientnet_b1_pruned,92.760,7.240,98.040,1.960,6.33,240,0.882,bicubic
ese_vovnet19b_dw,92.290,7.710,98.100,1.900,6.54,224,0.875,bicubic vit_small_patch16_224,92.730,7.270,97.920,2.080,48.75,224,0.900,bicubic
tf_efficientnet_b0,92.230,7.770,98.000,2.000,5.29,224,0.875,bicubic inception_v3,92.710,7.290,97.960,2.040,23.83,299,0.875,bicubic
tf_efficientnet_b0_ap,92.220,7.780,98.020,1.980,5.29,224,0.875,bicubic seresnext26t_32x4d,92.700,7.300,98.380,1.620,16.81,224,0.875,bicubic
dla60,92.220,7.780,98.110,1.890,22.04,224,0.875,bilinear tf_efficientnet_lite2,92.690,7.310,98.220,1.780,6.09,260,0.890,bicubic
regnetx_016,92.170,7.830,98.210,1.790,9.19,224,0.875,bicubic densenet161,92.680,7.320,98.350,1.650,28.68,224,0.875,bicubic
resnet26d,92.050,7.950,97.950,2.050,16.01,224,0.875,bicubic seresnext26d_32x4d,92.680,7.320,98.130,1.870,16.81,224,0.875,bicubic
dpn68,92.010,7.990,98.040,1.960,12.61,224,0.875,bicubic densenet201,92.670,7.330,98.260,1.740,20.01,224,0.875,bicubic
densenetblur121d,91.920,8.080,98.090,1.910,8.00,224,0.875,bicubic gluon_resnet50_v1b,92.620,7.380,98.170,1.830,25.56,224,0.875,bicubic
densenet169,91.910,8.090,98.100,1.900,14.15,224,0.875,bicubic tf_efficientnet_lite1,92.600,7.400,98.050,1.950,5.42,240,0.882,bicubic
tv_resnet50,91.880,8.120,98.040,1.960,25.56,224,0.875,bilinear res2net50_48w_2s,92.580,7.420,98.070,1.930,25.29,224,0.875,bilinear
mobilenetv2_140,91.820,8.180,97.860,2.140,6.11,224,0.875,bicubic tf_efficientnet_cc_b0_4e,92.560,7.440,98.140,1.860,13.31,224,0.875,bicubic
mixnet_s,91.820,8.180,97.690,2.310,4.13,224,0.875,bicubic efficientnet_b0,92.550,7.450,98.080,1.920,5.29,224,0.875,bicubic
regnety_008,91.740,8.260,98.180,1.820,6.26,224,0.875,bicubic legacy_seresnext26_32x4d,92.520,7.480,98.150,1.850,16.79,224,0.875,bicubic
resnest14d,91.740,8.260,97.870,2.130,10.61,224,0.875,bilinear res2net50_26w_4s,92.480,7.520,98.140,1.860,25.70,224,0.875,bilinear
densenet121,91.560,8.440,98.020,1.980,7.98,224,0.875,bicubic mobilenetv2_120d,92.470,7.530,98.000,2.000,5.83,224,0.875,bicubic
tf_mixnet_s,91.510,8.490,97.610,2.390,4.13,224,0.875,bicubic mixnet_m,92.450,7.550,97.870,2.130,5.01,224,0.875,bicubic
regnety_006,91.370,8.630,97.710,2.290,6.06,224,0.875,bicubic skresnet34,92.410,7.590,98.220,1.780,22.28,224,0.875,bicubic
mobilenetv3_large_100,91.330,8.670,97.710,2.290,5.48,224,0.875,bicubic tf_mixnet_m,92.380,7.620,97.910,2.090,5.01,224,0.875,bicubic
semnasnet_100,91.290,8.710,97.570,2.430,3.89,224,0.875,bicubic hrnet_w18,92.320,7.680,98.310,1.690,21.30,224,0.875,bilinear
tf_mobilenetv3_large_100,91.230,8.770,97.660,2.340,5.48,224,0.875,bilinear ese_vovnet19b_dw,92.300,7.700,98.080,1.920,6.54,224,0.875,bicubic
mobilenetv3_rw,91.210,8.790,97.660,2.340,5.48,224,0.875,bicubic tf_efficientnet_b0,92.260,7.740,97.900,2.100,5.29,224,0.875,bicubic
hrnet_w18_small_v2,91.190,8.810,97.900,2.100,15.60,224,0.875,bilinear selecsls42b,92.240,7.760,98.200,1.800,32.46,224,0.875,bicubic
efficientnet_lite0,91.170,8.830,97.620,2.380,4.65,224,0.875,bicubic tf_efficientnet_b0_ap,92.180,7.820,98.050,1.950,5.29,224,0.875,bicubic
resnet26,91.120,8.880,97.730,2.270,16.00,224,0.875,bicubic dla60,92.140,7.860,98.060,1.940,22.04,224,0.875,bilinear
resnet34,91.110,8.890,97.620,2.380,21.80,224,0.875,bilinear regnetx_016,92.140,7.860,98.280,1.720,9.19,224,0.875,bicubic
regnetx_008,91.050,8.950,97.710,2.290,7.26,224,0.875,bicubic repvgg_a2,92.120,7.880,98.200,1.800,28.21,224,0.875,bilinear
tf_efficientnet_lite0,91.040,8.960,97.570,2.430,4.65,224,0.875,bicubic densenet169,92.080,7.920,98.170,1.830,14.15,224,0.875,bicubic
gluon_resnet34_v1b,90.990,9.010,97.640,2.360,21.80,224,0.875,bicubic resnet26d,92.080,7.920,98.000,2.000,16.01,224,0.875,bicubic
mobilenetv2_110d,90.970,9.030,97.540,2.460,4.52,224,0.875,bicubic dpn68,92.060,7.940,98.060,1.940,12.61,224,0.875,bicubic
tv_densenet121,90.900,9.100,97.710,2.290,7.98,224,0.875,bicubic tf_efficientnet_es,92.000,8.000,97.890,2.110,5.44,224,0.875,bicubic
legacy_seresnet34,90.890,9.110,97.580,2.420,21.96,224,0.875,bilinear gernet_s,91.960,8.040,98.210,1.790,8.17,224,0.875,bilinear
dla34,90.760,9.240,97.650,2.350,15.74,224,0.875,bilinear tv_resnet50,91.910,8.090,98.060,1.940,25.56,224,0.875,bilinear
fbnetc_100,90.710,9.290,97.210,2.790,5.57,224,0.875,bilinear mobilenetv2_140,91.860,8.140,97.870,2.130,6.11,224,0.875,bicubic
swsl_resnet18,90.680,9.320,97.710,2.290,11.69,224,0.875,bilinear regnety_008,91.860,8.140,98.190,1.810,6.26,224,0.875,bicubic
mnasnet_100,90.510,9.490,97.470,2.530,4.38,224,0.875,bicubic mixnet_s,91.830,8.170,97.690,2.310,4.13,224,0.875,bicubic
regnety_004,90.500,9.500,97.560,2.440,4.34,224,0.875,bicubic densenetblur121d,91.750,8.250,98.100,1.900,8.00,224,0.875,bicubic
spnasnet_100,90.350,9.650,97.190,2.810,4.42,224,0.875,bilinear densenet121,91.700,8.300,98.010,1.990,7.98,224,0.875,bicubic
regnetx_006,90.330,9.670,97.430,2.570,6.20,224,0.875,bicubic resnest14d,91.530,8.470,97.950,2.050,10.61,224,0.875,bilinear
ssl_resnet18,90.230,9.770,97.560,2.440,11.69,224,0.875,bilinear repvgg_b0,91.420,8.580,97.920,2.080,15.82,224,0.875,bilinear
tv_resnet34,89.920,10.080,97.340,2.660,21.80,224,0.875,bilinear tf_mixnet_s,91.420,8.580,97.610,2.390,4.13,224,0.875,bicubic
tf_mobilenetv3_large_075,89.710,10.290,97.220,2.780,3.99,224,0.875,bilinear hrnet_w18_small_v2,91.340,8.660,97.950,2.050,15.60,224,0.875,bilinear
skresnet18,89.660,10.340,97.220,2.780,11.96,224,0.875,bicubic regnety_006,91.280,8.720,97.810,2.190,6.06,224,0.875,bicubic
mobilenetv2_100,89.610,10.390,97.140,2.860,3.50,224,0.875,bicubic semnasnet_100,91.260,8.740,97.560,2.440,3.89,224,0.875,bicubic
resnet18d,89.300,10.700,97.150,2.850,11.71,224,0.875,bicubic mobilenetv3_rw,91.200,8.800,97.650,2.350,5.48,224,0.875,bicubic
hrnet_w18_small,89.040,10.960,97.100,2.900,13.19,224,0.875,bilinear resnet34,91.180,8.820,97.550,2.450,21.80,224,0.875,bilinear
tf_mobilenetv3_large_minimal_100,88.960,11.040,96.870,3.130,3.92,224,0.875,bilinear resnet26,91.180,8.820,97.800,2.200,16.00,224,0.875,bicubic
regnetx_004,88.890,11.110,97.120,2.880,5.16,224,0.875,bicubic regnetx_008,91.180,8.820,97.730,2.270,7.26,224,0.875,bicubic
legacy_seresnet18,88.880,11.120,96.970,3.030,11.78,224,0.875,bicubic mobilenetv3_large_100,91.120,8.880,97.700,2.300,5.48,224,0.875,bicubic
gluon_resnet18_v1b,88.370,11.630,96.690,3.310,11.69,224,0.875,bicubic tf_mobilenetv3_large_100,91.110,8.890,97.670,2.330,5.48,224,0.875,bilinear
resnet18,87.370,12.630,96.260,3.740,11.69,224,0.875,bilinear efficientnet_lite0,91.070,8.930,97.660,2.340,4.65,224,0.875,bicubic
regnety_002,87.360,12.640,96.570,3.430,3.16,224,0.875,bicubic tf_efficientnet_lite0,91.020,8.980,97.420,2.580,4.65,224,0.875,bicubic
dla60x_c,86.280,13.720,96.160,3.840,1.32,224,0.875,bilinear tv_densenet121,90.980,9.020,97.740,2.260,7.98,224,0.875,bicubic
regnetx_002,86.200,13.800,95.970,4.030,2.68,224,0.875,bicubic gluon_resnet34_v1b,90.970,9.030,97.640,2.360,21.80,224,0.875,bicubic
tf_mobilenetv3_small_100,85.180,14.820,95.780,4.220,2.54,224,0.875,bilinear legacy_seresnet34,90.970,9.030,97.610,2.390,21.96,224,0.875,bilinear
dla46x_c,84.250,15.750,95.280,4.720,1.07,224,0.875,bilinear mobilenetv2_110d,90.860,9.140,97.610,2.390,4.52,224,0.875,bicubic
dla46_c,83.640,16.360,94.910,5.090,1.30,224,0.875,bilinear fbnetc_100,90.850,9.150,97.240,2.760,5.57,224,0.875,bilinear
tf_mobilenetv3_small_075,83.490,16.510,94.790,5.210,2.04,224,0.875,bilinear dla34,90.790,9.210,97.590,2.410,15.74,224,0.875,bilinear
tf_mobilenetv3_small_minimal_100,81.380,18.620,93.670,6.330,2.04,224,0.875,bilinear swsl_resnet18,90.770,9.230,97.770,2.230,11.69,224,0.875,bilinear
inception_resnet_v2,10.930,89.070,28.870,71.130,55.85,299,0.897,bicubic vit_deit_tiny_distilled_patch16_224,90.670,9.330,97.560,2.440,5.91,224,0.900,bicubic
pnasnet5large,10.690,89.310,31.050,68.950,86.06,331,0.911,bicubic regnety_004,90.480,9.520,97.510,2.490,4.34,224,0.875,bicubic
ens_adv_inception_resnet_v2,10.650,89.350,30.490,69.510,55.85,299,0.897,bicubic mnasnet_100,90.460,9.540,97.490,2.510,4.38,224,0.875,bicubic
inception_v4,10.570,89.430,28.260,71.740,42.68,299,0.875,bicubic regnetx_006,90.380,9.620,97.320,2.680,6.20,224,0.875,bicubic
spnasnet_100,90.370,9.630,97.160,2.840,4.42,224,0.875,bilinear
ssl_resnet18,90.250,9.750,97.620,2.380,11.69,224,0.875,bilinear
vgg19_bn,90.090,9.910,97.610,2.390,143.68,224,0.875,bilinear
vgg16_bn,90.040,9.960,97.360,2.640,138.37,224,0.875,bilinear
tv_resnet34,89.970,10.030,97.390,2.610,21.80,224,0.875,bilinear
skresnet18,89.760,10.240,97.320,2.680,11.96,224,0.875,bicubic
tf_mobilenetv3_large_075,89.660,10.340,97.280,2.720,3.99,224,0.875,bilinear
vit_deit_tiny_patch16_224,89.650,10.350,97.440,2.560,5.72,224,0.900,bicubic
mobilenetv2_100,89.460,10.540,97.200,2.800,3.50,224,0.875,bicubic
resnet18d,89.150,10.850,97.220,2.780,11.71,224,0.875,bicubic
vgg19,89.120,10.880,96.900,3.100,143.67,224,0.875,bilinear
regnetx_004,89.030,10.970,97.090,2.910,5.16,224,0.875,bicubic
tf_mobilenetv3_large_minimal_100,88.940,11.060,96.810,3.190,3.92,224,0.875,bilinear
legacy_seresnet18,88.910,11.090,96.990,3.010,11.78,224,0.875,bicubic
vgg13_bn,88.840,11.160,96.980,3.020,133.05,224,0.875,bilinear
hrnet_w18_small,88.810,11.190,96.990,3.010,13.19,224,0.875,bilinear
vgg16,88.640,11.360,96.780,3.220,138.36,224,0.875,bilinear
gluon_resnet18_v1b,88.280,11.720,96.640,3.360,11.69,224,0.875,bicubic
vgg11_bn,87.560,12.440,96.800,3.200,132.87,224,0.875,bilinear
regnety_002,87.400,12.600,96.670,3.330,3.16,224,0.875,bicubic
resnet18,87.400,12.600,96.280,3.720,11.69,224,0.875,bilinear
vgg13,87.060,12.940,96.240,3.760,133.05,224,0.875,bilinear
vgg11,86.560,13.440,96.220,3.780,132.86,224,0.875,bilinear
dla60x_c,86.260,13.740,96.100,3.900,1.32,224,0.875,bilinear
regnetx_002,86.150,13.850,96.020,3.980,2.68,224,0.875,bicubic
tf_mobilenetv3_small_100,85.350,14.650,95.640,4.360,2.54,224,0.875,bilinear
dla46x_c,84.430,15.570,95.340,4.660,1.07,224,0.875,bilinear
dla46_c,83.560,16.440,94.890,5.110,1.30,224,0.875,bilinear
tf_mobilenetv3_small_075,83.470,16.530,94.700,5.300,2.04,224,0.875,bilinear
tf_mobilenetv3_small_minimal_100,81.550,18.450,93.710,6.290,2.04,224,0.875,bilinear

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
2 tf_efficientnet_l2_ns 98.540 98.530 1.460 1.470 99.820 0.180 480.31 800 0.960 bicubic
3 tf_efficientnet_l2_ns_475 98.490 98.530 1.510 1.470 99.830 99.840 0.170 0.160 480.31 475 0.936 bicubic
4 tf_efficientnet_b7_ns 97.880 97.920 2.120 2.080 99.720 0.280 66.35 600 0.949 bicubic
5 ig_resnext101_32x48d dm_nfnet_f6 97.640 97.740 2.360 2.260 99.700 99.580 0.300 0.420 828.41 438.36 224 576 0.875 0.956 bilinear bicubic
6 tf_efficientnet_b6_ns 97.630 2.370 99.580 99.590 0.420 0.410 43.04 528 0.942 bicubic
7 tf_efficientnet_b5_ns dm_nfnet_f4 97.490 97.580 2.510 2.420 99.630 99.530 0.370 0.470 30.39 316.07 456 512 0.934 0.951 bicubic
8 resnetv2_152x4_bitm dm_nfnet_f5 97.480 97.580 2.520 2.420 99.610 99.550 0.390 0.450 936.53 377.21 480 544 1.000 0.954 bilinear bicubic
9 ig_resnext101_32x32d ig_resnext101_32x48d 97.360 97.580 2.640 2.420 99.680 99.690 0.320 0.310 468.53 828.41 224 0.875 bilinear
10 tf_efficientnet_b8 tf_efficientnet_b5_ns 97.210 97.500 2.790 2.500 99.500 99.650 0.500 0.350 87.41 30.39 672 456 0.954 0.934 bicubic
11 tf_efficientnet_b7_ap resnetv2_152x4_bitm 97.200 97.470 2.800 2.530 99.540 99.600 0.460 0.400 66.35 936.53 600 480 0.949 1.000 bicubic bilinear
12 swsl_resnext101_32x8d dm_nfnet_f3 97.190 97.400 2.810 2.600 99.570 99.590 0.430 0.410 88.79 254.92 224 416 0.875 0.940 bilinear bicubic
13 vit_base_resnet50_384 ig_resnext101_32x32d 97.180 97.320 2.820 2.680 99.560 99.660 0.440 0.340 98.95 468.53 384 224 1.000 0.875 bicubic bilinear
14 resnetv2_152x2_bitm tf_efficientnet_b8 97.130 97.230 2.870 2.770 99.590 99.500 0.410 0.500 236.34 87.41 480 672 1.000 0.954 bilinear bicubic
15 vit_large_patch16_384 tf_efficientnet_b7_ap 97.120 97.210 2.880 2.790 99.640 99.550 0.360 0.450 304.72 66.35 384 600 1.000 0.949 bicubic
16 tf_efficientnet_b8_ap swsl_resnext101_32x8d 97.110 97.200 2.890 2.800 99.660 99.540 0.340 0.460 87.41 88.79 672 224 0.954 0.875 bicubic bilinear
17 tf_efficientnet_b6_ap vit_base_resnet50_384 97.080 97.190 2.920 2.810 99.620 99.560 0.380 0.440 43.04 98.95 528 384 0.942 1.000 bicubic
18 resnetv2_101x3_bitm resnetv2_152x2_bitm 97.080 97.160 2.920 2.840 99.510 99.580 0.490 0.420 387.93 236.34 480 1.000 bilinear
19 ecaresnet269d 97.140 2.860 99.460 0.540 102.09 352 1.000 bicubic
20 vit_large_patch16_384 97.130 2.870 99.640 0.360 304.72 384 1.000 bicubic
21 tf_efficientnet_b6_ap 97.110 2.890 99.610 0.390 43.04 528 0.942 bicubic
22 tf_efficientnet_b8_ap 97.100 2.900 99.660 0.340 87.41 672 0.954 bicubic
23 resnetv2_101x3_bitm 97.040 2.960 99.520 0.480 387.93 480 1.000 bilinear
24 tf_efficientnet_b7 97.010 2.990 99.520 0.480 66.35 600 0.949 bicubic
25 tf_efficientnet_b4_ns 96.930 96.960 3.070 3.040 99.580 99.600 0.420 0.400 19.34 380 0.922 bicubic
26 ig_resnext101_32x16d vit_deit_base_distilled_patch16_384 96.830 96.960 3.170 3.040 99.590 99.490 0.410 0.510 194.03 87.63 224 384 0.875 1.000 bilinear bicubic
27 resnetv2_50x3_bitm dm_nfnet_f1 96.780 96.930 3.220 3.070 99.420 99.380 0.580 0.620 217.32 132.63 480 320 1.000 0.910 bilinear bicubic
28 seresnet152d_320 dm_nfnet_f2 96.770 96.890 3.230 3.110 99.450 0.550 66.84 193.78 320 352 1.000 0.920 bicubic
29 resnet200d_320 ig_resnext101_32x16d 96.740 96.820 3.260 3.180 99.340 99.610 0.660 0.390 64.69 194.03 320 224 1.000 0.875 bicubic bilinear
30 vit_base_patch16_384 seresnet152d 96.710 96.810 3.290 3.190 99.510 99.450 0.490 0.550 86.86 66.84 384 320 1.000 bicubic
31 tf_efficientnet_b5_ap resnetv2_50x3_bitm 96.690 96.770 3.310 3.230 99.460 99.430 0.540 0.570 30.39 217.32 456 480 0.934 1.000 bicubic bilinear
32 tf_efficientnet_b6 vit_base_patch16_384 96.670 96.740 3.330 3.260 99.370 99.480 0.630 0.520 43.04 86.86 528 384 0.942 1.000 bicubic
33 resnest200e resnet200d 96.620 96.720 3.380 3.280 99.350 99.340 0.650 0.660 70.20 64.69 320 0.909 1.000 bicubic
34 swsl_resnext101_32x16d tf_efficientnet_b6 96.600 96.690 3.400 3.310 99.520 99.370 0.480 0.630 194.03 43.04 224 528 0.875 0.942 bilinear bicubic
35 seresnet152d tf_efficientnet_b5_ap 96.570 96.670 3.430 3.330 99.400 99.470 0.600 0.530 66.84 30.39 256 456 0.940 0.934 bicubic
36 resnest269e swsl_resnext101_32x16d 96.520 96.610 3.480 3.390 99.350 99.520 0.650 0.480 110.93 194.03 416 224 0.928 0.875 bicubic bilinear
37 swsl_resnext101_32x4d resnest200e 96.410 96.550 3.590 3.450 99.470 99.320 0.530 0.680 44.18 70.20 224 320 0.875 0.909 bilinear bicubic
38 tf_efficientnet_b3_ns resnest269e 96.370 96.550 3.630 3.450 99.350 0.650 12.23 110.93 300 416 0.904 0.928 bicubic
39 resnet152d_320 swsl_resnext101_32x4d 96.350 96.400 3.650 3.600 99.390 99.450 0.610 0.550 60.21 44.18 320 224 1.000 0.875 bicubic bilinear
40 tf_efficientnet_b5 tf_efficientnet_b3_ns 96.340 96.380 3.660 3.620 99.310 99.340 0.690 0.660 30.39 12.23 456 300 0.934 0.904 bicubic
41 ig_resnext101_32x8d tf_efficientnet_b5 96.310 96.350 3.690 3.650 99.430 99.320 0.570 0.680 88.79 30.39 224 456 0.875 0.934 bilinear bicubic
42 resnet101d_320 resnet152d 96.290 96.350 3.710 3.650 99.230 99.370 0.770 0.630 44.57 60.21 320 1.000 bicubic
43 resnet200d resnet101d 96.290 96.300 3.710 3.700 99.250 99.240 0.750 0.760 64.69 44.57 256 320 0.940 1.000 bicubic
44 tf_efficientnet_b4_ap ig_resnext101_32x8d 96.170 96.270 3.830 3.730 99.280 99.410 0.720 0.590 19.34 88.79 380 224 0.922 0.875 bicubic bilinear
45 resnetv2_101x1_bitm vit_deit_base_patch16_384 96.070 96.170 3.930 3.830 99.300 99.140 0.700 0.860 44.54 86.86 480 384 1.000 bilinear bicubic
46 resnet152d tf_efficientnet_b4_ap 95.990 96.150 4.010 3.850 99.260 99.250 0.740 0.750 60.21 19.34 256 380 0.940 0.922 bicubic
47 tresnet_xl_448 dm_nfnet_f0 95.970 96.140 4.030 3.860 99.120 99.240 0.880 0.760 78.44 71.49 448 256 0.875 0.900 bilinear bicubic
48 vit_large_patch16_224 vit_deit_base_distilled_patch16_224 95.940 96.110 4.060 3.890 99.240 99.180 0.760 0.820 304.33 87.34 224 0.900 bicubic
49 resnet101d resnetv2_101x1_bitm 95.930 96.090 4.070 3.910 99.070 99.310 0.930 0.690 44.57 44.54 256 480 0.940 1.000 bicubic bilinear
50 tf_efficientnet_b4 vit_large_patch16_224 95.890 95.940 4.110 4.060 99.170 99.220 0.830 0.780 19.34 304.33 380 224 0.922 0.900 bicubic
51 swsl_resnext50_32x4d tresnet_xl_448 95.880 95.930 4.120 4.070 99.250 99.160 0.750 0.840 25.03 78.44 224 448 0.875 bilinear
52 tresnet_l_448 resnest101e 95.860 95.910 4.140 4.090 99.120 99.180 0.880 0.820 55.99 48.28 448 256 0.875 bilinear
53 resnest101e swsl_resnext50_32x4d 95.850 95.900 4.150 4.100 99.210 99.250 0.790 0.750 48.28 25.03 256 224 0.875 bilinear
54 ssl_resnext101_32x16d tf_efficientnet_b4 95.810 95.870 4.190 4.130 99.180 99.140 0.820 0.860 194.03 19.34 224 380 0.875 0.922 bilinear bicubic
55 vit_base_patch32_384 tresnet_l_448 95.810 95.850 4.190 4.150 99.150 99.140 0.850 0.860 88.30 55.99 384 448 1.000 0.875 bicubic bilinear
56 tf_efficientnet_b2_ns vit_base_patch32_384 95.740 95.820 4.260 4.180 99.120 99.150 0.880 0.850 9.11 88.30 260 384 0.890 1.000 bicubic
57 efficientnet_b3a vit_large_patch32_384 95.720 95.810 4.280 4.190 99.040 99.150 0.960 0.850 12.23 306.63 320 384 1.000 bicubic
58 nasnetalarge tf_efficientnet_b2_ns 95.680 95.750 4.320 4.250 98.930 99.150 1.070 0.850 88.75 9.11 331 260 0.911 0.890 bicubic
59 efficientnet_b3 efficientnet_b3a 95.580 95.720 4.420 4.280 99.100 99.050 0.900 0.950 12.23 300 320 0.904 1.000 bicubic
60 ecaresnet101d pnasnet5large 95.540 95.690 4.460 4.310 99.130 98.900 0.870 1.100 44.57 86.06 224 331 0.875 0.911 bicubic
61 ssl_resnext101_32x8d nasnetalarge 95.470 95.690 4.530 4.310 99.110 98.950 0.890 1.050 88.79 88.75 224 331 0.875 0.911 bilinear bicubic
62 tresnet_xl ssl_resnext101_32x16d 95.440 95.640 4.560 4.360 99.060 99.130 0.940 0.870 78.44 194.03 224 0.875 bilinear
63 ssl_resnext101_32x4d swsl_resnet50 95.430 95.550 4.570 4.450 99.130 99.260 0.870 0.740 44.18 25.56 224 0.875 bilinear
64 swsl_resnet50 ecaresnet50t 95.410 95.520 4.590 4.480 99.280 99.110 0.720 0.890 25.56 25.57 224 320 0.875 0.950 bilinear bicubic
65 regnety_032 ssl_resnext101_32x4d 95.360 95.510 4.640 4.490 99.100 99.060 0.900 0.940 19.44 44.18 224 0.875 bicubic bilinear
66 vit_base_patch16_224 ecaresnet101d 95.340 95.490 4.660 4.510 99.000 99.090 1.000 0.910 86.57 44.57 224 0.900 0.875 bicubic
67 tf_efficientnet_b3_ap tresnet_xl 95.320 95.470 4.680 4.530 98.900 99.140 1.100 0.860 12.23 78.44 300 224 0.904 0.875 bicubic bilinear
68 tresnet_l ssl_resnext101_32x8d 95.290 95.440 4.710 4.560 99.010 99.140 0.990 0.860 55.99 88.79 224 0.875 bilinear
69 tf_efficientnet_b1_ns vit_deit_base_patch16_224 95.170 95.440 4.830 4.560 99.110 98.820 0.890 1.180 7.79 86.57 240 224 0.882 0.900 bicubic
70 ecaresnet101d_pruned efficientnet_b3 95.070 95.420 4.930 4.580 98.980 99.100 1.020 0.900 24.88 12.23 224 300 0.875 0.904 bicubic
71 wide_resnet50_2 vit_base_patch16_224 95.070 95.360 4.930 4.640 98.970 99.000 1.030 1.000 68.88 86.57 224 0.875 0.900 bicubic
72 legacy_senet154 tf_efficientnet_b3_ap 95.060 95.310 4.940 4.690 98.830 98.940 1.170 1.060 115.09 12.23 224 300 0.875 0.904 bilinear bicubic
73 gluon_resnet152_v1s gernet_l 95.050 95.190 4.950 4.810 98.930 98.870 1.070 1.130 60.32 31.08 224 256 0.875 bicubic bilinear
74 resnetv2_50x1_bitm regnety_032 95.040 95.180 4.960 4.820 99.160 99.140 0.840 0.860 25.55 19.44 480 224 1.000 0.875 bilinear bicubic
75 seresnext50_32x4d tf_efficientnet_b1_ns 95.040 95.180 4.960 4.820 98.890 99.080 1.110 0.920 27.56 7.79 224 240 0.875 0.882 bicubic
76 tf_efficientnet_b3 tresnet_l 95.010 95.180 4.990 4.820 98.910 99.010 1.090 0.990 12.23 55.99 300 224 0.904 0.875 bicubic bilinear
77 tresnet_m_448 gluon_resnet152_v1s 94.990 95.110 5.010 4.890 98.980 98.930 1.020 1.070 31.39 60.32 448 224 0.875 bilinear bicubic
78 resnest50d_4s2x40d ecaresnet101d_pruned 94.950 95.080 5.050 4.920 99.070 98.960 0.930 1.040 30.42 24.88 224 0.875 bicubic
79 gluon_seresnext101_64x4d seresnext50_32x4d 94.950 95.080 5.050 4.920 98.820 98.910 1.180 1.090 88.23 27.56 224 0.875 bicubic
80 gluon_senet154 wide_resnet50_2 94.930 95.040 5.070 4.960 98.770 98.990 1.230 1.010 115.09 68.88 224 0.875 bicubic
81 rexnet_200 resnest50d_4s2x40d 94.930 95.040 5.070 4.960 99.000 99.090 1.000 0.910 16.37 30.42 224 0.875 bicubic
82 gluon_seresnext101_32x4d resnetv2_50x1_bitm 94.920 95.030 5.080 4.970 98.810 99.170 1.190 0.830 48.96 25.55 224 480 0.875 1.000 bicubic bilinear
83 ssl_resnext50_32x4d tf_efficientnet_b3 94.860 95.020 5.140 4.980 98.870 98.900 1.130 1.100 25.03 12.23 224 300 0.875 0.904 bilinear bicubic
84 tf_efficientnet_lite4 rexnet_200 94.860 95.000 5.140 5.000 99.020 98.970 0.980 1.030 13.01 16.37 380 224 0.920 0.875 bilinear bicubic
85 resnest50d tf_efficientnet_lite4 94.820 94.980 5.180 5.020 98.880 98.990 1.120 1.010 27.48 13.01 224 380 0.875 0.920 bilinear
86 ecaresnetlight tresnet_m_448 94.780 94.980 5.220 5.020 98.800 98.990 1.200 1.010 30.16 31.39 224 448 0.875 bicubic bilinear
87 resnest50d_1s4x24d legacy_senet154 94.760 94.970 5.240 5.030 98.980 98.870 1.020 1.130 25.68 115.09 224 0.875 bicubic bilinear
88 gluon_resnet152_v1d gluon_senet154 94.750 94.950 5.250 5.050 98.740 1.260 60.21 115.09 224 0.875 bicubic
89 efficientnet_b2 gluon_seresnext101_32x4d 94.710 94.940 5.290 5.060 98.670 98.730 1.330 1.270 9.11 48.96 260 224 0.875 bicubic
90 gluon_resnet101_v1s ssl_resnext50_32x4d 94.700 94.930 5.300 5.070 98.820 98.850 1.180 1.150 44.67 25.03 224 0.875 bicubic bilinear
91 cspdarknet53 gluon_seresnext101_64x4d 94.670 94.880 5.330 5.120 98.810 98.840 1.190 1.160 27.64 88.23 256 224 0.887 0.875 bilinear bicubic
92 gluon_resnext101_64x4d gluon_resnet101_v1s 94.640 94.750 5.360 5.250 98.660 98.890 1.340 1.110 83.46 44.67 224 0.875 bicubic
93 efficientnet_b2a vit_deit_small_distilled_patch16_224 94.630 94.720 5.370 5.280 98.710 99.030 1.290 0.970 9.11 22.44 288 224 1.000 0.900 bicubic
94 efficientnet_b3_pruned ecaresnetlight 94.620 94.690 5.380 5.310 98.770 98.800 1.230 1.200 9.86 30.16 300 224 0.904 0.875 bicubic
95 ecaresnet50d gernet_m 94.620 94.670 5.380 5.330 98.890 98.840 1.110 1.160 25.58 21.14 224 0.875 bicubic bilinear
96 tf_efficientnet_el resnest50d 94.610 94.670 5.390 5.330 98.750 98.790 1.250 1.210 10.59 27.48 300 224 0.904 0.875 bicubic bilinear
97 tresnet_m gluon_resnet152_v1d 94.610 94.660 5.390 5.340 98.550 98.780 1.450 1.220 31.39 60.21 224 0.875 bilinear bicubic
98 seresnet50 resnest50d_1s4x24d 94.560 94.660 5.440 5.340 98.750 99.000 1.250 1.000 28.09 25.68 224 0.875 bicubic
99 regnety_320 efficientnet_b3_pruned 94.550 94.630 5.450 5.370 98.840 98.770 1.160 1.230 145.05 9.86 224 300 0.875 0.904 bicubic
100 gluon_resnext101_32x4d 94.520 94.630 5.480 5.370 98.630 1.370 44.18 224 0.875 bicubic
101 ssl_resnet50 nf_resnet50 94.490 94.620 5.510 5.380 98.920 98.780 1.080 1.220 25.56 224 288 0.875 0.940 bilinear bicubic
102 tf_efficientnet_b2_ap efficientnet_b2a 94.490 94.620 5.510 5.380 98.620 98.730 1.380 1.270 9.11 260 288 0.890 1.000 bicubic
103 cspresnext50 regnety_320 94.480 94.610 5.520 5.390 98.680 98.840 1.320 1.160 20.57 145.05 224 0.875 bilinear bicubic
104 regnety_120 ecaresnet50d 94.480 94.610 5.520 5.390 98.810 98.870 1.190 1.130 51.82 25.58 224 0.875 bicubic
105 rexnet_150 tresnet_m 94.470 94.600 5.530 5.400 98.790 98.560 1.210 1.440 9.73 31.39 224 0.875 bicubic bilinear
106 regnetx_320 cspdarknet53 94.440 94.590 5.560 5.410 98.730 98.780 1.270 1.220 107.81 27.64 224 256 0.875 0.887 bicubic bilinear
107 tf_efficientnet_b2 efficientnet_b2 94.370 94.560 5.630 5.440 98.610 98.720 1.390 1.280 9.11 260 0.890 0.875 bicubic
108 legacy_seresnext101_32x4d gluon_resnext101_64x4d 94.360 94.550 5.640 5.450 98.640 1.360 48.96 83.46 224 0.875 bilinear bicubic
109 gluon_seresnext50_32x4d repvgg_b3 94.350 94.550 5.650 5.450 98.620 98.750 1.380 1.250 27.56 123.09 224 0.875 bicubic bilinear
110 regnety_160 seresnet50 94.350 94.500 5.650 5.500 98.850 98.710 1.150 1.290 83.59 28.09 224 0.875 bicubic
111 dpn107 repvgg_b3g4 94.310 94.490 5.690 5.510 98.480 98.950 1.520 1.050 86.92 83.83 224 0.875 bicubic bilinear
112 xception71 inception_resnet_v2 94.290 94.490 5.710 5.510 98.640 98.770 1.360 1.230 42.34 55.84 299 0.903 0.897 bicubic
113 resnet50d tf_efficientnet_b2_ap 94.270 94.460 5.730 5.540 98.720 98.640 1.280 1.360 25.58 9.11 224 260 0.875 0.890 bicubic
114 gluon_xception65 cspresnext50 94.260 94.440 5.740 5.560 98.570 98.720 1.430 1.280 39.92 20.57 299 224 0.903 0.875 bicubic bilinear
115 skresnext50_32x4d legacy_seresnext101_32x4d 94.260 94.430 5.740 5.570 98.470 98.580 1.530 1.420 27.48 48.96 224 0.875 bicubic bilinear
116 regnetx_120 regnety_120 94.240 94.430 5.760 5.570 98.670 98.870 1.330 1.130 46.11 51.82 224 0.875 bicubic
117 dpn92 ssl_resnet50 94.220 94.430 5.780 5.570 98.730 98.870 1.270 1.130 37.67 25.56 224 0.875 bicubic bilinear
118 ecaresnet50d_pruned tf_efficientnet_el 94.210 94.420 5.790 5.580 98.730 98.750 1.270 1.250 19.94 10.59 224 300 0.875 0.904 bicubic
119 gluon_resnet101_v1d regnety_160 94.200 94.410 5.800 5.590 98.560 98.880 1.440 1.120 44.57 83.59 224 0.875 bicubic
120 mixnet_xl tf_efficientnet_b2 94.190 94.400 5.810 5.600 98.340 98.610 1.660 1.390 11.90 9.11 224 260 0.875 0.890 bicubic
121 resnext50d_32x4d rexnet_150 94.190 94.400 5.810 5.600 98.580 98.820 1.420 1.180 25.05 9.73 224 0.875 bicubic
122 tf_efficientnet_lite3 inception_v4 94.190 94.360 5.810 5.640 98.640 98.560 1.360 1.440 8.20 42.68 300 299 0.904 0.875 bilinear bicubic
123 regnety_080 vit_deit_small_patch16_224 94.180 94.350 5.820 5.650 98.680 98.670 1.320 1.330 39.18 22.05 224 0.875 0.900 bicubic
124 gluon_resnet152_v1c regnetx_320 94.160 94.340 5.840 5.660 98.640 98.810 1.360 1.190 60.21 107.81 224 0.875 bicubic
125 regnety_064 resnet50d 94.150 94.340 5.850 5.660 98.730 1.270 30.58 25.58 224 0.875 bicubic
126 efficientnet_b2_pruned dpn107 94.140 94.330 5.860 5.670 98.520 98.530 1.480 1.470 8.31 86.92 260 224 0.890 0.875 bicubic
127 dpn98 ecaresnet26t 94.130 94.320 5.870 5.680 98.570 98.710 1.430 1.290 61.57 16.01 224 320 0.875 0.950 bicubic
128 regnetx_160 gluon_seresnext50_32x4d 94.120 94.310 5.880 5.690 98.740 98.590 1.260 1.410 54.28 27.56 224 0.875 bicubic
129 resnext50_32x4d ecaresnet50d_pruned 94.110 94.280 5.890 5.720 98.350 98.790 1.650 1.210 25.03 19.94 224 0.875 bicubic
130 ese_vovnet39b xception71 94.090 94.280 5.910 5.720 98.660 98.620 1.340 1.380 24.57 42.34 224 299 0.875 0.903 bicubic
131 gluon_resnet152_v1b gluon_resnet101_v1d 94.090 94.270 5.910 5.730 98.450 98.640 1.550 1.360 60.19 44.57 224 0.875 bicubic
132 dpn131 gluon_xception65 94.000 94.250 6.000 5.750 98.720 98.590 1.280 1.410 79.25 39.92 224 299 0.875 0.903 bicubic
133 hrnet_w64 tf_efficientnet_lite3 93.990 94.240 6.010 5.760 98.610 98.630 1.390 1.370 128.06 8.20 224 300 0.875 0.904 bilinear
134 dla102x2 regnety_064 93.950 94.230 6.050 5.770 98.490 98.750 1.510 1.250 41.28 30.58 224 0.875 bilinear bicubic
135 resnetblur50 regnetx_160 93.950 94.220 6.050 5.780 98.590 98.800 1.410 1.200 25.56 54.28 224 0.875 bicubic
136 hrnet_w48 dpn92 93.940 94.210 6.060 5.790 98.610 98.730 1.390 1.270 77.47 37.67 224 0.875 bilinear bicubic
137 tf_efficientnet_cc_b1_8e skresnext50_32x4d 93.910 94.200 6.090 5.800 98.250 98.460 1.750 1.540 39.72 27.48 240 224 0.882 0.875 bicubic
138 rexnet_130 mixnet_xl 93.900 94.190 6.100 5.810 98.400 98.350 1.600 1.650 7.56 11.90 224 0.875 bicubic
139 regnetx_064 gluon_resnet152_v1c 93.890 94.180 6.110 5.820 98.630 98.640 1.370 1.360 26.21 60.21 224 0.875 bicubic
140 regnetx_080 regnety_080 93.860 94.160 6.140 5.840 98.520 98.700 1.480 1.300 39.57 39.18 224 0.875 bicubic
141 regnety_040 resnext50d_32x4d 93.860 94.160 6.140 5.840 98.640 98.540 1.360 1.460 20.65 25.05 224 0.875 bicubic
142 efficientnet_em ens_adv_inception_resnet_v2 93.850 94.160 6.150 5.840 98.810 98.630 1.190 1.370 6.90 55.84 240 299 0.882 0.897 bicubic
143 gluon_resnext50_32x4d gluon_resnet152_v1b 93.820 94.160 6.180 5.840 98.410 98.520 1.590 1.480 25.03 60.19 224 0.875 bicubic
144 resnet50 ese_vovnet39b 93.810 94.160 6.190 5.840 98.380 98.690 1.620 1.310 25.56 24.57 224 0.875 bicubic
145 resnext101_32x8d nf_regnet_b1 93.800 94.140 6.200 5.860 98.580 98.600 1.420 1.400 88.79 10.22 224 288 0.875 0.900 bilinear bicubic
146 gluon_resnet50_v1d regnetx_120 93.780 94.120 6.220 5.880 98.400 98.740 1.600 1.260 25.58 46.11 224 0.875 bicubic
147 xception65 dpn98 93.770 94.100 6.230 5.900 98.360 98.580 1.640 1.420 39.92 61.57 299 224 0.903 0.875 bicubic
148 cspresnet50 efficientnet_b2_pruned 93.750 94.090 6.250 5.910 98.630 98.520 1.370 1.480 21.62 8.31 256 260 0.887 0.890 bilinear bicubic
149 gluon_resnet101_v1b hrnet_w64 93.730 94.030 6.270 5.970 98.400 98.490 1.600 1.510 44.55 128.06 224 0.875 bicubic bilinear
150 res2net101_26w_4s resnext50_32x4d 93.730 94.010 6.270 5.990 98.320 98.390 1.680 1.610 45.21 25.03 224 0.875 bilinear bicubic
151 wide_resnet101_2 resnetblur50 93.730 93.980 6.270 6.020 98.540 98.520 1.460 1.480 126.89 25.56 224 0.875 bilinear bicubic
152 legacy_seresnext50_32x4d tf_efficientnet_cc_b1_8e 93.720 93.960 6.280 6.040 98.580 98.240 1.420 1.760 27.56 39.72 224 240 0.875 0.882 bilinear bicubic
153 tf_efficientnet_b1_ap dla102x2 93.710 93.940 6.290 6.060 98.360 98.560 1.640 1.440 7.79 41.28 240 224 0.882 0.875 bicubic bilinear
154 dpn68b regnetx_064 93.680 93.940 6.320 6.060 98.520 98.670 1.480 1.330 12.61 26.21 224 0.875 bicubic
155 gluon_resnet101_v1c regnety_040 93.670 93.930 6.330 6.070 98.410 98.690 1.590 1.310 44.57 20.65 224 0.875 bicubic
156 gluon_resnet50_v1s resnet50 93.630 93.930 6.370 6.070 98.470 98.340 1.530 1.660 25.68 25.56 224 0.875 bicubic
157 tf_efficientnet_b0_ns repvgg_b2g4 93.620 93.920 6.380 6.080 98.640 98.600 1.360 1.400 5.29 61.76 224 0.875 bicubic bilinear
158 hrnet_w44 regnetx_080 93.580 93.900 6.420 6.100 98.700 98.540 1.300 1.460 67.06 39.57 224 0.875 bilinear bicubic
159 regnetx_040 efficientnet_em 93.560 93.900 6.440 6.100 98.550 98.820 1.450 1.180 22.12 6.90 224 240 0.875 0.882 bicubic
160 res2net50_26w_8s dpn131 93.540 93.880 6.460 6.120 98.270 98.740 1.730 1.260 48.40 79.25 224 0.875 bilinear bicubic
161 hrnet_w32 wide_resnet101_2 93.520 93.880 6.480 6.120 98.430 98.570 1.570 1.430 41.23 126.89 224 0.875 bilinear
162 tf_efficientnet_b1 resnext101_32x8d 93.520 93.860 6.480 6.140 98.360 98.650 1.640 1.350 7.79 88.79 240 224 0.882 0.875 bicubic bilinear
163 dla102x rexnet_130 93.520 93.840 6.480 6.160 98.500 98.400 1.500 1.600 26.31 7.56 224 0.875 bilinear bicubic
164 tf_efficientnet_em hrnet_w48 93.500 93.830 6.500 6.170 98.440 98.630 1.560 1.370 6.90 77.47 240 224 0.882 0.875 bicubic bilinear
165 hrnet_w40 gluon_resnet101_v1c 93.490 93.790 6.510 6.210 98.590 98.400 1.410 1.600 57.56 44.57 224 0.875 bilinear bicubic
166 xception gluon_resnet101_v1b 93.470 93.760 6.530 6.240 98.530 98.470 1.470 1.530 22.86 44.55 299 224 0.897 0.875 bicubic
167 gluon_inception_v3 xception65 93.460 93.760 6.540 6.240 98.560 98.350 1.440 1.650 23.83 39.92 299 0.875 0.903 bicubic
168 mixnet_l cspresnet50 93.430 93.750 6.570 6.250 98.220 98.670 1.780 1.330 7.33 21.62 224 256 0.875 0.887 bicubic bilinear
169 legacy_seresnet152 legacy_seresnext50_32x4d 93.420 93.740 6.580 6.260 98.350 98.510 1.650 1.490 66.82 27.56 224 0.875 bilinear
170 xception41 gluon_resnext50_32x4d 93.410 93.720 6.590 6.280 98.420 98.470 1.580 1.530 26.97 25.03 299 224 0.903 0.875 bicubic
171 res2net50_26w_6s gluon_resnet50_v1d 93.400 93.710 6.600 6.290 98.280 98.390 1.720 1.610 37.05 25.58 224 0.875 bilinear bicubic
172 resnest26d gluon_resnet50_v1s 93.370 93.700 6.630 6.300 98.640 98.470 1.360 1.530 17.07 25.68 224 0.875 bilinear bicubic
173 dla169 tf_efficientnet_b1_ap 93.340 93.700 6.660 6.300 98.600 98.370 1.400 1.630 53.39 7.79 224 240 0.875 0.882 bilinear bicubic
174 tf_inception_v3 hrnet_w44 93.330 93.660 6.670 6.340 98.040 98.690 1.960 1.310 23.83 67.06 299 224 0.875 bicubic bilinear
175 tv_resnet152 res2net50_26w_8s 93.320 93.650 6.680 6.350 98.390 98.270 1.610 1.730 60.19 48.40 224 0.875 bilinear
176 tf_mixnet_l res2net101_26w_4s 93.300 93.650 6.700 6.350 98.030 98.400 1.970 1.600 7.33 45.21 224 0.875 bicubic bilinear
177 legacy_seresnet101 dpn68b 93.290 93.600 6.710 6.400 98.500 98.510 1.500 1.490 49.33 12.61 224 0.875 bilinear bicubic
178 selecsls60b dla102x 93.290 93.560 6.710 6.440 98.280 98.560 1.720 1.440 32.77 26.31 224 0.875 bicubic bilinear
179 efficientnet_b1 regnetx_040 93.270 93.550 6.730 6.450 98.190 98.460 1.810 1.540 7.79 22.12 240 224 0.875 bicubic
180 hrnet_w30 res2net50_26w_6s 93.210 93.530 6.790 6.470 98.410 98.430 1.590 1.570 37.71 37.05 224 0.875 bilinear
181 efficientnet_es tf_efficientnet_b0_ns 93.200 93.520 6.800 6.480 98.410 98.620 1.590 1.380 5.44 5.29 224 0.875 bicubic
182 dla60_res2next tf_efficientnet_b1 93.180 93.490 6.820 6.510 98.410 98.340 1.590 1.660 17.03 7.79 224 240 0.875 0.882 bilinear bicubic
183 dla60_res2net hrnet_w32 93.150 93.470 6.850 6.530 98.420 98.390 1.580 1.610 20.85 41.23 224 0.875 bilinear
184 regnetx_032 gluon_inception_v3 93.120 93.460 6.880 6.540 98.390 98.600 1.610 1.400 15.30 23.83 224 299 0.875 bicubic
185 dla60x xception41 93.100 93.460 6.900 6.540 98.490 98.410 1.510 1.590 17.35 26.97 224 299 0.875 0.903 bilinear bicubic
186 dla102 hrnet_w40 93.090 93.450 6.910 6.550 98.550 98.570 1.450 1.430 33.27 57.56 224 0.875 bilinear
187 seresnext26t_32x4d repvgg_b2 93.060 93.440 6.940 6.560 98.100 98.700 1.900 1.300 16.82 89.02 224 0.875 bicubic bilinear
188 selecsls60 resnest26d 93.050 93.440 6.950 6.560 98.300 98.600 1.700 1.400 30.67 17.07 224 0.875 bicubic bilinear
189 gluon_resnet50_v1c mixnet_l 93.030 93.440 6.970 6.560 98.370 98.270 1.630 1.730 25.58 7.33 224 0.875 bicubic
190 regnety_016 repvgg_b1 93.030 93.410 6.970 6.590 98.360 98.530 1.640 1.470 11.20 57.42 224 0.875 bicubic bilinear
191 rexnet_100 dla169 93.030 93.390 6.970 6.610 98.190 98.550 1.810 1.450 4.80 53.39 224 0.875 bicubic bilinear
192 legacy_seresnet50 xception 92.950 93.380 7.050 6.620 98.190 98.520 1.810 1.480 28.09 22.86 224 299 0.875 0.897 bilinear bicubic
193 adv_inception_v3 tf_mixnet_l 92.890 93.360 7.110 6.640 98.130 98.040 1.870 1.960 23.83 7.33 299 224 0.875 bicubic
194 res2next50 legacy_seresnet152 92.830 93.330 7.170 6.670 98.170 98.380 1.830 1.620 24.67 66.82 224 0.875 bilinear
195 tf_efficientnet_cc_b0_8e tv_resnet152 92.820 93.330 7.180 6.670 98.180 98.370 1.820 1.630 24.01 60.19 224 0.875 bicubic bilinear
196 seresnext26tn_32x4d selecsls60b 92.810 93.300 7.190 6.700 98.370 98.310 1.630 1.690 16.81 32.77 224 0.875 bicubic
197 tv_resnet101 legacy_seresnet101 92.800 93.280 7.200 6.720 98.230 98.470 1.770 1.530 44.55 49.33 224 0.875 bilinear
198 efficientnet_b1_pruned tf_inception_v3 92.770 93.270 7.230 6.730 98.040 98.050 1.960 1.950 6.33 23.83 240 299 0.882 0.875 bicubic
199 vit_small_patch16_224 efficientnet_b1 92.770 93.250 7.230 6.750 97.930 98.170 2.070 1.830 48.75 7.79 224 240 0.900 0.875 bicubic
200 tv_resnext50_32x4d regnety_016 92.760 93.250 7.240 6.750 98.270 98.400 1.730 1.600 25.03 11.20 224 0.875 bilinear bicubic
201 densenet201 dla60_res2net 92.750 93.190 7.250 6.810 98.240 98.390 1.760 1.610 20.01 20.85 224 0.875 bicubic bilinear
202 seresnext26d_32x4d dla60_res2next 92.730 93.170 7.270 6.830 98.150 98.430 1.850 1.570 16.81 17.03 224 0.875 bicubic bilinear
203 inception_v3 dla60x 92.720 93.130 7.280 6.870 97.960 98.520 2.040 1.480 23.83 17.35 299 224 0.875 bicubic bilinear
204 res2net50_14w_8s hrnet_w30 92.720 93.130 7.280 6.870 98.190 98.400 1.810 1.600 25.06 37.71 224 0.875 bilinear
205 resnet34d dla102 92.690 93.090 7.310 6.910 98.300 98.490 1.700 1.510 21.82 33.27 224 0.875 bicubic bilinear
206 efficientnet_b0 rexnet_100 92.670 93.080 7.330 6.920 98.080 98.150 1.920 1.850 5.29 4.80 224 0.875 bicubic
207 tf_efficientnet_lite2 efficientnet_es 92.660 93.070 7.340 6.930 98.230 98.480 1.770 1.520 6.09 5.44 260 224 0.890 0.875 bicubic
208 legacy_seresnext26_32x4d regnetx_032 92.630 93.060 7.370 6.940 98.120 98.340 1.880 1.660 16.79 15.30 224 0.875 bicubic
209 tf_efficientnet_lite1 gluon_resnet50_v1c 92.620 93.030 7.380 6.970 98.080 98.330 1.920 1.670 5.42 25.58 240 224 0.882 0.875 bicubic
210 tf_efficientnet_cc_b0_4e legacy_seresnet50 92.610 93.010 7.390 6.990 98.080 98.180 1.920 1.820 13.31 28.09 224 0.875 bicubic bilinear
211 res2net50_48w_2s selecsls60 92.560 92.960 7.440 7.040 98.070 98.220 1.930 1.780 25.29 30.67 224 0.875 bilinear bicubic
212 tf_efficientnet_es tf_efficientnet_em 92.550 92.940 7.450 7.060 98.290 98.190 1.710 1.810 5.44 6.90 224 240 0.875 0.882 bicubic
213 gluon_resnet50_v1b adv_inception_v3 92.540 92.890 7.460 7.110 98.190 98.170 1.810 1.830 25.56 23.83 224 299 0.875 bicubic
214 res2net50_26w_4s res2next50 92.490 92.890 7.510 7.110 98.060 98.190 1.940 1.810 25.70 24.67 224 0.875 bilinear
215 densenet161 repvgg_b1g4 92.490 92.820 7.510 7.180 98.290 98.380 1.710 1.620 28.68 39.97 224 0.875 bicubic bilinear
216 mixnet_m tf_efficientnet_cc_b0_8e 92.440 92.820 7.560 7.180 97.870 98.260 2.130 1.740 5.01 24.01 224 0.875 bicubic
217 mobilenetv2_120d tv_resnet101 92.400 92.810 7.600 7.190 98.050 98.260 1.950 1.740 5.83 44.55 224 0.875 bicubic bilinear
218 skresnet34 res2net50_14w_8s 92.380 92.800 7.620 7.200 98.140 98.170 1.860 1.830 22.28 25.06 224 0.875 bicubic bilinear
219 tf_mixnet_m resnet34d 92.330 92.770 7.670 7.230 97.890 98.260 2.110 1.740 5.01 21.82 224 0.875 bicubic
220 hrnet_w18 tv_resnext50_32x4d 92.310 92.770 7.690 7.230 98.240 98.200 1.760 1.800 21.30 25.03 224 0.875 bilinear
221 selecsls42b efficientnet_b1_pruned 92.300 92.760 7.700 7.240 98.150 98.040 1.850 1.960 32.46 6.33 224 240 0.875 0.882 bicubic
222 ese_vovnet19b_dw vit_small_patch16_224 92.290 92.730 7.710 7.270 98.100 97.920 1.900 2.080 6.54 48.75 224 0.875 0.900 bicubic
223 tf_efficientnet_b0 inception_v3 92.230 92.710 7.770 7.290 98.000 97.960 2.000 2.040 5.29 23.83 224 299 0.875 bicubic
224 tf_efficientnet_b0_ap seresnext26t_32x4d 92.220 92.700 7.780 7.300 98.020 98.380 1.980 1.620 5.29 16.81 224 0.875 bicubic
225 dla60 tf_efficientnet_lite2 92.220 92.690 7.780 7.310 98.110 98.220 1.890 1.780 22.04 6.09 224 260 0.875 0.890 bilinear bicubic
226 regnetx_016 densenet161 92.170 92.680 7.830 7.320 98.210 98.350 1.790 1.650 9.19 28.68 224 0.875 bicubic
227 resnet26d seresnext26d_32x4d 92.050 92.680 7.950 7.320 97.950 98.130 2.050 1.870 16.01 16.81 224 0.875 bicubic
228 dpn68 densenet201 92.010 92.670 7.990 7.330 98.040 98.260 1.960 1.740 12.61 20.01 224 0.875 bicubic
229 densenetblur121d gluon_resnet50_v1b 91.920 92.620 8.080 7.380 98.090 98.170 1.910 1.830 8.00 25.56 224 0.875 bicubic
230 densenet169 tf_efficientnet_lite1 91.910 92.600 8.090 7.400 98.100 98.050 1.900 1.950 14.15 5.42 224 240 0.875 0.882 bicubic
231 tv_resnet50 res2net50_48w_2s 91.880 92.580 8.120 7.420 98.040 98.070 1.960 1.930 25.56 25.29 224 0.875 bilinear
232 mobilenetv2_140 tf_efficientnet_cc_b0_4e 91.820 92.560 8.180 7.440 97.860 98.140 2.140 1.860 6.11 13.31 224 0.875 bicubic
233 mixnet_s efficientnet_b0 91.820 92.550 8.180 7.450 97.690 98.080 2.310 1.920 4.13 5.29 224 0.875 bicubic
234 regnety_008 legacy_seresnext26_32x4d 91.740 92.520 8.260 7.480 98.180 98.150 1.820 1.850 6.26 16.79 224 0.875 bicubic
235 resnest14d res2net50_26w_4s 91.740 92.480 8.260 7.520 97.870 98.140 2.130 1.860 10.61 25.70 224 0.875 bilinear
236 densenet121 mobilenetv2_120d 91.560 92.470 8.440 7.530 98.020 98.000 1.980 2.000 7.98 5.83 224 0.875 bicubic
237 tf_mixnet_s mixnet_m 91.510 92.450 8.490 7.550 97.610 97.870 2.390 2.130 4.13 5.01 224 0.875 bicubic
238 regnety_006 skresnet34 91.370 92.410 8.630 7.590 97.710 98.220 2.290 1.780 6.06 22.28 224 0.875 bicubic
239 mobilenetv3_large_100 tf_mixnet_m 91.330 92.380 8.670 7.620 97.710 97.910 2.290 2.090 5.48 5.01 224 0.875 bicubic
240 semnasnet_100 hrnet_w18 91.290 92.320 8.710 7.680 97.570 98.310 2.430 1.690 3.89 21.30 224 0.875 bicubic bilinear
241 tf_mobilenetv3_large_100 ese_vovnet19b_dw 91.230 92.300 8.770 7.700 97.660 98.080 2.340 1.920 5.48 6.54 224 0.875 bilinear bicubic
242 mobilenetv3_rw tf_efficientnet_b0 91.210 92.260 8.790 7.740 97.660 97.900 2.340 2.100 5.48 5.29 224 0.875 bicubic
243 hrnet_w18_small_v2 selecsls42b 91.190 92.240 8.810 7.760 97.900 98.200 2.100 1.800 15.60 32.46 224 0.875 bilinear bicubic
244 efficientnet_lite0 tf_efficientnet_b0_ap 91.170 92.180 8.830 7.820 97.620 98.050 2.380 1.950 4.65 5.29 224 0.875 bicubic
245 resnet26 dla60 91.120 92.140 8.880 7.860 97.730 98.060 2.270 1.940 16.00 22.04 224 0.875 bicubic bilinear
246 resnet34 regnetx_016 91.110 92.140 8.890 7.860 97.620 98.280 2.380 1.720 21.80 9.19 224 0.875 bilinear bicubic
247 regnetx_008 repvgg_a2 91.050 92.120 8.950 7.880 97.710 98.200 2.290 1.800 7.26 28.21 224 0.875 bicubic bilinear
248 tf_efficientnet_lite0 densenet169 91.040 92.080 8.960 7.920 97.570 98.170 2.430 1.830 4.65 14.15 224 0.875 bicubic
249 gluon_resnet34_v1b resnet26d 90.990 92.080 9.010 7.920 97.640 98.000 2.360 2.000 21.80 16.01 224 0.875 bicubic
250 mobilenetv2_110d dpn68 90.970 92.060 9.030 7.940 97.540 98.060 2.460 1.940 4.52 12.61 224 0.875 bicubic
251 tv_densenet121 tf_efficientnet_es 90.900 92.000 9.100 8.000 97.710 97.890 2.290 2.110 7.98 5.44 224 0.875 bicubic
252 legacy_seresnet34 gernet_s 90.890 91.960 9.110 8.040 97.580 98.210 2.420 1.790 21.96 8.17 224 0.875 bilinear
253 dla34 tv_resnet50 90.760 91.910 9.240 8.090 97.650 98.060 2.350 1.940 15.74 25.56 224 0.875 bilinear
254 fbnetc_100 mobilenetv2_140 90.710 91.860 9.290 8.140 97.210 97.870 2.790 2.130 5.57 6.11 224 0.875 bilinear bicubic
255 swsl_resnet18 regnety_008 90.680 91.860 9.320 8.140 97.710 98.190 2.290 1.810 11.69 6.26 224 0.875 bilinear bicubic
256 mnasnet_100 mixnet_s 90.510 91.830 9.490 8.170 97.470 97.690 2.530 2.310 4.38 4.13 224 0.875 bicubic
257 regnety_004 densenetblur121d 90.500 91.750 9.500 8.250 97.560 98.100 2.440 1.900 4.34 8.00 224 0.875 bicubic
258 spnasnet_100 densenet121 90.350 91.700 9.650 8.300 97.190 98.010 2.810 1.990 4.42 7.98 224 0.875 bilinear bicubic
259 regnetx_006 resnest14d 90.330 91.530 9.670 8.470 97.430 97.950 2.570 2.050 6.20 10.61 224 0.875 bicubic bilinear
260 ssl_resnet18 repvgg_b0 90.230 91.420 9.770 8.580 97.560 97.920 2.440 2.080 11.69 15.82 224 0.875 bilinear
261 tv_resnet34 tf_mixnet_s 89.920 91.420 10.080 8.580 97.340 97.610 2.660 2.390 21.80 4.13 224 0.875 bilinear bicubic
262 tf_mobilenetv3_large_075 hrnet_w18_small_v2 89.710 91.340 10.290 8.660 97.220 97.950 2.780 2.050 3.99 15.60 224 0.875 bilinear
263 skresnet18 regnety_006 89.660 91.280 10.340 8.720 97.220 97.810 2.780 2.190 11.96 6.06 224 0.875 bicubic
264 mobilenetv2_100 semnasnet_100 89.610 91.260 10.390 8.740 97.140 97.560 2.860 2.440 3.50 3.89 224 0.875 bicubic
265 resnet18d mobilenetv3_rw 89.300 91.200 10.700 8.800 97.150 97.650 2.850 2.350 11.71 5.48 224 0.875 bicubic
266 hrnet_w18_small resnet34 89.040 91.180 10.960 8.820 97.100 97.550 2.900 2.450 13.19 21.80 224 0.875 bilinear
267 tf_mobilenetv3_large_minimal_100 resnet26 88.960 91.180 11.040 8.820 96.870 97.800 3.130 2.200 3.92 16.00 224 0.875 bilinear bicubic
268 regnetx_004 regnetx_008 88.890 91.180 11.110 8.820 97.120 97.730 2.880 2.270 5.16 7.26 224 0.875 bicubic
269 legacy_seresnet18 mobilenetv3_large_100 88.880 91.120 11.120 8.880 96.970 97.700 3.030 2.300 11.78 5.48 224 0.875 bicubic
270 gluon_resnet18_v1b tf_mobilenetv3_large_100 88.370 91.110 11.630 8.890 96.690 97.670 3.310 2.330 11.69 5.48 224 0.875 bicubic bilinear
271 resnet18 efficientnet_lite0 87.370 91.070 12.630 8.930 96.260 97.660 3.740 2.340 11.69 4.65 224 0.875 bilinear bicubic
272 regnety_002 tf_efficientnet_lite0 87.360 91.020 12.640 8.980 96.570 97.420 3.430 2.580 3.16 4.65 224 0.875 bicubic
273 dla60x_c tv_densenet121 86.280 90.980 13.720 9.020 96.160 97.740 3.840 2.260 1.32 7.98 224 0.875 bilinear bicubic
274 regnetx_002 gluon_resnet34_v1b 86.200 90.970 13.800 9.030 95.970 97.640 4.030 2.360 2.68 21.80 224 0.875 bicubic
275 tf_mobilenetv3_small_100 legacy_seresnet34 85.180 90.970 14.820 9.030 95.780 97.610 4.220 2.390 2.54 21.96 224 0.875 bilinear
276 dla46x_c mobilenetv2_110d 84.250 90.860 15.750 9.140 95.280 97.610 4.720 2.390 1.07 4.52 224 0.875 bilinear bicubic
277 dla46_c fbnetc_100 83.640 90.850 16.360 9.150 94.910 97.240 5.090 2.760 1.30 5.57 224 0.875 bilinear
278 tf_mobilenetv3_small_075 dla34 83.490 90.790 16.510 9.210 94.790 97.590 5.210 2.410 2.04 15.74 224 0.875 bilinear
279 tf_mobilenetv3_small_minimal_100 swsl_resnet18 81.380 90.770 18.620 9.230 93.670 97.770 6.330 2.230 2.04 11.69 224 0.875 bilinear
280 inception_resnet_v2 vit_deit_tiny_distilled_patch16_224 10.930 90.670 89.070 9.330 28.870 97.560 71.130 2.440 55.85 5.91 299 224 0.897 0.900 bicubic
281 pnasnet5large regnety_004 10.690 90.480 89.310 9.520 31.050 97.510 68.950 2.490 86.06 4.34 331 224 0.911 0.875 bicubic
282 ens_adv_inception_resnet_v2 mnasnet_100 10.650 90.460 89.350 9.540 30.490 97.490 69.510 2.510 55.85 4.38 299 224 0.897 0.875 bicubic
283 inception_v4 regnetx_006 10.570 90.380 89.430 9.620 28.260 97.320 71.740 2.680 42.68 6.20 299 224 0.875 bicubic
284 spnasnet_100 90.370 9.630 97.160 2.840 4.42 224 0.875 bilinear
285 ssl_resnet18 90.250 9.750 97.620 2.380 11.69 224 0.875 bilinear
286 vgg19_bn 90.090 9.910 97.610 2.390 143.68 224 0.875 bilinear
287 vgg16_bn 90.040 9.960 97.360 2.640 138.37 224 0.875 bilinear
288 tv_resnet34 89.970 10.030 97.390 2.610 21.80 224 0.875 bilinear
289 skresnet18 89.760 10.240 97.320 2.680 11.96 224 0.875 bicubic
290 tf_mobilenetv3_large_075 89.660 10.340 97.280 2.720 3.99 224 0.875 bilinear
291 vit_deit_tiny_patch16_224 89.650 10.350 97.440 2.560 5.72 224 0.900 bicubic
292 mobilenetv2_100 89.460 10.540 97.200 2.800 3.50 224 0.875 bicubic
293 resnet18d 89.150 10.850 97.220 2.780 11.71 224 0.875 bicubic
294 vgg19 89.120 10.880 96.900 3.100 143.67 224 0.875 bilinear
295 regnetx_004 89.030 10.970 97.090 2.910 5.16 224 0.875 bicubic
296 tf_mobilenetv3_large_minimal_100 88.940 11.060 96.810 3.190 3.92 224 0.875 bilinear
297 legacy_seresnet18 88.910 11.090 96.990 3.010 11.78 224 0.875 bicubic
298 vgg13_bn 88.840 11.160 96.980 3.020 133.05 224 0.875 bilinear
299 hrnet_w18_small 88.810 11.190 96.990 3.010 13.19 224 0.875 bilinear
300 vgg16 88.640 11.360 96.780 3.220 138.36 224 0.875 bilinear
301 gluon_resnet18_v1b 88.280 11.720 96.640 3.360 11.69 224 0.875 bicubic
302 vgg11_bn 87.560 12.440 96.800 3.200 132.87 224 0.875 bilinear
303 regnety_002 87.400 12.600 96.670 3.330 3.16 224 0.875 bicubic
304 resnet18 87.400 12.600 96.280 3.720 11.69 224 0.875 bilinear
305 vgg13 87.060 12.940 96.240 3.760 133.05 224 0.875 bilinear
306 vgg11 86.560 13.440 96.220 3.780 132.86 224 0.875 bilinear
307 dla60x_c 86.260 13.740 96.100 3.900 1.32 224 0.875 bilinear
308 regnetx_002 86.150 13.850 96.020 3.980 2.68 224 0.875 bicubic
309 tf_mobilenetv3_small_100 85.350 14.650 95.640 4.360 2.54 224 0.875 bilinear
310 dla46x_c 84.430 15.570 95.340 4.660 1.07 224 0.875 bilinear
311 dla46_c 83.560 16.440 94.890 5.110 1.30 224 0.875 bilinear
312 tf_mobilenetv3_small_075 83.470 16.530 94.700 5.300 2.04 224 0.875 bilinear
313 tf_mobilenetv3_small_minimal_100 81.550 18.450 93.710 6.290 2.04 224 0.875 bilinear

589
results/results-imagenet-a.csv
Unescape View File

@ -1,278 +1,313 @@
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,84.707,15.293,96.040,3.960,480.31,800,0.960,bicubic,-12.063,-3.410,-2 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_475,83.360,16.640,95.480,4.520,480.31,475,0.936,bicubic,-13.210,-3.920,-2 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_b7_ns,66.880,33.120,88.507,11.493,66.35,600,0.949,bicubic,-31.660,-11.313,-2 tf_efficientnet_b7_ns,67.093,32.907,88.640,11.360,66.35,600,0.949,bicubic,-30.827,-11.080,0
tf_efficientnet_b6_ns,61.640,38.360,84.787,15.213,43.04,528,0.942,bicubic,-36.240,-14.933,-1 tf_efficientnet_b6_ns,62.293,37.707,85.160,14.840,43.04,528,0.942,bicubic,-35.337,-14.430,+1
ig_resnext101_32x48d,61.040,38.960,83.253,16.747,828.41,224,0.875,bilinear,-37.450,-16.577,-3 dm_nfnet_f6,62.253,37.747,84.653,15.347,438.36,576,0.956,bicubic,-35.487,-14.927,-1
tf_efficientnet_b5_ns,59.787,40.213,84.213,15.787,30.39,456,0.934,bicubic,-37.853,-15.487,-2 dm_nfnet_f5,61.653,38.347,84.027,15.973,377.21,544,0.954,bicubic,-35.927,-15.523,+1
resnetv2_152x4_bitm,59.560,40.440,83.147,16.853,936.53,480,1.000,bilinear,-38.070,-16.433,-2 ig_resnext101_32x48d,60.853,39.147,83.240,16.760,828.41,224,0.875,bilinear,-36.727,-16.450,+1
ig_resnext101_32x32d,57.933,42.067,80.760,19.240,468.53,224,0.875,bilinear,-39.557,-18.870,-2 resnetv2_152x4_bitm,60.640,39.360,83.533,16.467,936.53,480,1.000,bilinear,-36.830,-16.067,+2
vit_base_resnet50_384,54.333,45.667,80.827,19.173,98.95,384,1.000,bicubic,-42.867,-18.713,+1 dm_nfnet_f4,60.600,39.400,83.453,16.547,316.07,512,0.951,bicubic,-36.980,-16.077,-3
resnetv2_152x2_bitm,53.773,46.227,81.840,18.160,236.34,480,1.000,bilinear,-43.417,-17.730,+1 tf_efficientnet_b5_ns,60.280,39.720,84.533,15.467,30.39,456,0.934,bicubic,-37.220,-15.117,-1
vit_large_patch16_384,53.053,46.947,79.853,20.147,304.72,384,1.000,bicubic,-44.127,-19.707,+1 dm_nfnet_f3,58.213,41.787,82.373,17.627,254.92,416,0.940,bicubic,-39.187,-17.217,0
ig_resnext101_32x16d,53.040,46.960,76.853,23.147,194.03,224,0.875,bilinear,-43.970,-22.667,+6 ig_resnext101_32x32d,57.960,42.040,80.920,19.080,468.53,224,0.875,bilinear,-39.360,-18.740,0
resnetv2_101x3_bitm,52.307,47.693,80.227,19.773,387.93,480,1.000,bilinear,-44.803,-19.433,+2 resnetv2_152x2_bitm,54.867,45.133,82.800,17.200,236.34,480,1.000,bilinear,-42.293,-16.780,+4
swsl_resnext101_32x8d,51.160,48.840,78.213,21.787,88.79,224,0.875,bilinear,-46.050,-21.287,-5 vit_base_resnet50_384,54.627,45.373,81.307,18.693,98.95,384,1.000,bicubic,-42.563,-18.253,+2
tf_efficientnet_b4_ns,50.907,49.093,79.040,20.960,19.34,380,0.922,bicubic,-46.173,-20.580,+2 resnetv2_101x3_bitm,53.813,46.187,81.107,18.893,387.93,480,1.000,bilinear,-43.227,-18.413,+7
vit_base_patch16_384,50.027,49.973,77.600,22.400,86.86,384,1.000,bicubic,-46.713,-21.740,+6 vit_large_patch16_384,53.760,46.240,80.347,19.653,304.72,384,1.000,bicubic,-43.370,-19.293,+3
tf_efficientnet_b8,47.987,52.013,76.467,23.533,87.41,672,0.954,bicubic,-49.493,-23.143,-10 ig_resnext101_32x16d,53.520,46.480,77.347,22.653,194.03,224,0.875,bilinear,-43.300,-22.263,+11
resnest269e,47.653,52.347,74.013,25.987,110.93,416,0.928,bicubic,-48.867,-25.337,+10 swsl_resnext101_32x8d,51.373,48.627,78.347,21.653,88.79,224,0.875,bilinear,-45.827,-21.193,-3
resnetv2_50x3_bitm,46.533,53.467,76.760,23.240,217.32,480,1.000,bilinear,-50.397,-22.820,0 tf_efficientnet_b4_ns,51.067,48.933,79.360,20.640,19.34,380,0.922,bicubic,-45.893,-20.240,+5
tf_efficientnet_b8_ap,46.453,53.547,76.160,23.840,87.41,672,0.954,bicubic,-50.677,-23.430,-7 dm_nfnet_f2,50.680,49.320,78.000,22.000,193.78,352,0.920,bicubic,-46.210,-21.450,+7
swsl_resnext101_32x16d,46.027,53.973,72.067,27.933,194.03,224,0.875,bilinear,-50.593,-27.283,+5 vit_base_patch16_384,50.533,49.467,78.240,21.760,86.86,384,1.000,bicubic,-46.207,-21.240,+10
tf_efficientnet_b7_ap,45.267,54.733,74.027,25.973,66.35,600,0.949,bicubic,-52.093,-25.653,-14 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
ig_resnext101_32x8d,45.227,54.773,70.853,29.147,88.79,224,0.875,bilinear,-51.083,-28.577,+10 tf_efficientnet_b8,48.853,51.147,77.213,22.787,87.41,672,0.954,bicubic,-48.377,-22.287,-10
resnest200e,43.867,56.133,73.293,26.707,70.20,320,0.909,bicubic,-52.803,-26.077,+1 resnest269e,47.987,52.013,74.480,25.520,110.93,416,0.928,bicubic,-48.563,-24.870,+13
tresnet_xl_448,43.187,56.813,72.133,27.867,78.44,448,0.875,bilinear,-52.783,-26.987,+14 resnetv2_50x3_bitm,47.880,52.120,77.573,22.427,217.32,480,1.000,bilinear,-48.890,-21.857,+5
tf_efficientnet_b7,42.213,57.787,72.547,27.453,66.35,600,0.949,bicubic,-54.867,-26.963,-10 tf_efficientnet_b8_ap,46.880,53.120,76.560,23.440,87.41,672,0.954,bicubic,-50.220,-23.100,-5
swsl_resnext101_32x4d,41.627,58.373,71.880,28.120,44.18,224,0.875,bilinear,-54.783,-27.590,+2 dm_nfnet_f1,46.707,53.293,74.840,25.160,132.63,320,0.910,bicubic,-50.223,-24.540,-1
tf_efficientnet_b6_ap,40.320,59.680,71.387,28.613,43.04,528,0.942,bicubic,-56.800,-28.253,-14 swsl_resnext101_32x16d,46.147,53.853,72.013,27.987,194.03,224,0.875,bilinear,-50.463,-27.507,+7
tresnet_l_448,40.133,59.867,69.707,30.293,55.99,448,0.875,bilinear,-55.727,-29.413,+15 ecaresnet269d,45.920,54.080,75.253,24.747,102.09,352,1.000,bicubic,-51.220,-24.207,-11
resnetv2_101x1_bitm,38.747,61.253,71.000,29.000,44.54,480,1.000,bilinear,-57.323,-28.300,+7 tf_efficientnet_b7_ap,45.347,54.653,74.187,25.813,66.35,600,0.949,bicubic,-51.863,-25.363,-16
resnet200d_320,37.813,62.187,68.200,31.800,64.69,320,1.000,bicubic,-58.967,-31.220,-10 ig_resnext101_32x8d,45.173,54.827,71.240,28.760,88.79,224,0.875,bilinear,-51.097,-28.170,+12
seresnet152d_320,37.453,62.547,69.053,30.947,66.84,320,1.000,bicubic,-59.377,-30.537,+21 resnest200e,44.107,55.893,73.693,26.307,70.20,320,0.909,bicubic,-52.443,-25.627,+4
tf_efficientnet_b3_ns,35.480,64.520,67.720,32.280,12.23,300,0.904,bicubic,-60.890,-31.630,-2 tresnet_xl_448,43.533,56.467,72.427,27.573,78.44,448,0.875,bilinear,-52.397,-26.733,+17
vit_large_patch16_224,35.240,64.760,64.320,35.680,304.33,224,0.900,bicubic,-60.700,-34.920,+7 tf_efficientnet_b7,43.013,56.987,73.200,26.800,66.35,600,0.949,bicubic,-53.997,-26.320,-11
tf_efficientnet_b6,34.947,65.053,67.293,32.707,43.04,528,0.942,bicubic,-61.743,-32.167,-10 swsl_resnext101_32x4d,41.347,58.653,71.480,28.520,44.18,224,0.875,bilinear,-55.053,-27.970,+3
tf_efficientnet_b5_ap,34.333,65.667,67.053,32.947,30.39,456,0.934,bicubic,-62.377,-32.457,-12 tf_efficientnet_b6_ap,40.840,59.160,71.653,28.347,43.04,528,0.942,bicubic,-56.270,-27.957,-16
resnet152d_320,33.720,66.280,65.467,34.533,60.21,320,1.000,bicubic,-62.630,-33.923,-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_m_448,33.627,66.373,64.293,35.707,31.39,448,0.875,bilinear,-61.363,-34.687,+32 tresnet_l_448,40.160,59.840,69.987,30.013,55.99,448,0.875,bilinear,-55.690,-29.153,+16
vit_base_patch32_384,33.160,66.840,64.680,35.320,88.30,384,1.000,bicubic,-62.650,-34.470,+9 resnetv2_101x1_bitm,39.360,60.640,71.480,28.520,44.54,480,1.000,bilinear,-56.730,-27.830,+9
swsl_resnext50_32x4d,33.027,66.973,65.173,34.827,25.03,224,0.875,bilinear,-62.853,-34.077,+4 vit_large_patch32_384,38.867,61.133,68.813,31.187,306.63,384,1.000,bicubic,-56.943,-30.337,+16
ssl_resnext101_32x16d,32.373,67.627,63.693,36.307,194.03,224,0.875,bilinear,-63.437,-35.487,+6 resnet200d,38.267,61.733,68.573,31.427,64.69,320,1.000,bicubic,-58.453,-30.767,-9
seresnet152d,31.600,68.400,63.373,36.627,66.84,256,0.940,bicubic,-65.000,-36.147,+27 seresnet152d,37.587,62.413,69.573,30.427,66.84,320,1.000,bicubic,-59.223,-29.877,-13
resnest101e,31.600,68.400,64.053,35.947,48.28,256,0.875,bilinear,-64.250,-35.157,+4 tf_efficientnet_b3_ns,35.653,64.347,67.853,32.147,12.23,300,0.904,bicubic,-60.727,-31.487,-4
vit_base_patch16_224,31.573,68.427,61.213,38.787,86.57,224,0.900,bicubic,-63.767,-37.787,+16 vit_large_patch16_224,35.600,64.400,64.333,35.667,304.33,224,0.900,bicubic,-60.340,-34.887,+5
tf_efficientnet_b5,31.107,68.893,64.507,35.493,30.39,456,0.934,bicubic,-65.233,-34.803,-11 tf_efficientnet_b6,35.253,64.747,67.773,32.227,43.04,528,0.942,bicubic,-61.437,-31.597,-12
resnet200d,30.053,69.947,61.160,38.840,64.69,256,0.940,bicubic,-66.237,-38.090,-9 tf_efficientnet_b5_ap,34.800,65.200,67.467,32.533,30.39,456,0.934,bicubic,-61.870,-32.003,-12
swsl_resnet50,29.787,70.213,63.800,36.200,25.56,224,0.875,bilinear,-65.623,-35.480,+11 resnet152d,34.320,65.680,65.960,34.040,60.21,320,1.000,bicubic,-62.030,-33.360,-6
ssl_resnext101_32x8d,28.853,71.147,60.627,39.373,88.79,224,0.875,bilinear,-66.617,-38.483,+7 tresnet_m_448,34.000,66.000,64.507,35.493,31.39,448,0.875,bilinear,-60.980,-34.483,+37
resnet101d_320,28.747,71.253,62.013,37.987,44.57,320,1.000,bicubic,-67.543,-37.217,-13 vit_base_patch32_384,33.640,66.360,65.173,34.827,88.30,384,1.000,bicubic,-62.180,-33.977,+6
resnetv2_50x1_bitm,27.453,72.547,63.133,36.867,25.55,480,1.000,bilinear,-67.587,-36.027,+18 swsl_resnext50_32x4d,33.467,66.533,65.227,34.773,25.03,224,0.875,bilinear,-62.433,-34.023,+2
resnet152d,25.947,74.053,58.573,41.427,60.21,256,0.940,bicubic,-70.043,-40.687,-11 ssl_resnext101_32x16d,32.320,67.680,63.720,36.280,194.03,224,0.875,bilinear,-63.320,-35.410,+10
tf_efficientnet_b4,25.867,74.133,59.880,40.120,19.34,380,0.922,bicubic,-70.023,-39.290,-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_b4_ap,25.827,74.173,59.613,40.387,19.34,380,0.922,bicubic,-70.343,-39.667,-15 tf_efficientnet_b5,31.867,68.133,65.293,34.707,30.39,456,0.934,bicubic,-64.483,-34.077,-13
ecaresnet101d,25.773,74.227,58.720,41.280,44.57,224,0.875,bicubic,-69.767,-40.410,0 resnest101e,31.307,68.693,64.453,35.547,48.28,256,0.875,bilinear,-64.603,-34.727,-3
tf_efficientnet_b2_ns,24.120,75.880,57.480,42.520,9.11,260,0.890,bicubic,-71.620,-41.640,-5 dm_nfnet_f0,31.133,68.867,63.373,36.627,71.49,256,0.900,bicubic,-65.007,-35.867,-9
ssl_resnext101_32x4d,23.760,76.240,57.160,42.840,44.18,224,0.875,bilinear,-71.670,-41.970,+1 swsl_resnet50,29.973,70.027,64.120,35.880,25.56,224,0.875,bilinear,-65.577,-35.140,+6
efficientnet_b3,23.587,76.413,56.440,43.560,12.23,300,0.904,bicubic,-71.993,-42.660,-4 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
efficientnet_b3a,23.120,76.880,55.813,44.187,12.23,320,1.000,bicubic,-72.600,-43.227,-7 ssl_resnext101_32x8d,29.240,70.760,61.093,38.907,88.79,224,0.875,bilinear,-66.200,-38.047,+9
nasnetalarge,23.120,76.880,54.560,45.440,88.75,331,0.911,bicubic,-72.560,-44.370,-7 resnet101d,29.053,70.947,62.107,37.893,44.57,320,1.000,bicubic,-67.247,-37.133,-17
resnet101d,22.240,77.760,54.667,45.333,44.57,256,0.940,bicubic,-73.690,-44.403,-17 resnetv2_50x1_bitm,27.440,72.560,63.533,36.467,25.55,480,1.000,bilinear,-67.590,-35.637,+21
regnety_032,21.787,78.213,54.880,45.120,19.44,224,0.875,bicubic,-73.573,-44.220,-2 vit_deit_base_patch16_224,27.333,72.667,58.840,41.160,86.57,224,0.900,bicubic,-68.107,-39.980,+7
resnest50d_4s2x40d,20.080,79.920,52.907,47.093,30.42,224,0.875,bicubic,-74.870,-45.913,+10 tf_efficientnet_b4_ap,26.333,73.667,60.067,39.933,19.34,380,0.922,bicubic,-69.817,-39.183,-17
ssl_resnext50_32x4d,19.680,80.320,53.253,46.747,25.03,224,0.875,bilinear,-75.180,-45.617,+14 tf_efficientnet_b4,26.213,73.787,60.267,39.733,19.34,380,0.922,bicubic,-69.657,-38.873,-10
tresnet_xl,19.320,80.680,52.867,47.133,78.44,224,0.875,bilinear,-76.120,-46.193,-8 ecaresnet50t,26.173,73.827,59.907,40.093,25.57,320,0.950,bicubic,-69.347,-39.203,-1
gluon_senet154,19.067,80.933,47.187,52.813,115.09,224,0.875,bicubic,-75.863,-51.583,+9 ecaresnet101d,26.053,73.947,58.893,41.107,44.57,224,0.875,bicubic,-69.437,-40.197,0
gluon_seresnext101_64x4d,18.960,81.040,48.960,51.040,88.23,224,0.875,bicubic,-75.990,-50.110,+7 tf_efficientnet_b2_ns,24.147,75.853,57.000,43.000,9.11,260,0.890,bicubic,-71.603,-42.150,-9
legacy_senet154,18.920,81.080,47.600,52.400,115.09,224,0.875,bilinear,-76.140,-51.230,-1 ssl_resnext101_32x4d,24.053,75.947,57.387,42.613,44.18,224,0.875,bilinear,-71.457,-41.673,-3
tf_efficientnet_b1_ns,18.907,81.093,51.667,48.333,7.79,240,0.882,bicubic,-76.263,-47.443,-5 pnasnet5large,23.547,76.453,53.427,46.573,86.06,331,0.911,bicubic,-72.143,-45.523,-9
rexnet_200,18.880,81.120,52.587,47.413,16.37,224,0.875,bicubic,-76.050,-46.413,+6 nasnetalarge,23.480,76.520,55.053,44.947,88.75,331,0.911,bicubic,-72.210,-43.847,-9
seresnext50_32x4d,18.227,81.773,50.907,49.093,27.56,224,0.875,bicubic,-76.813,-47.983,-1 efficientnet_b3,23.373,76.627,56.467,43.533,12.23,300,0.904,bicubic,-72.047,-42.633,-1
ecaresnet50d,17.973,82.027,51.480,48.520,25.58,224,0.875,bicubic,-76.647,-47.290,+18 efficientnet_b3a,23.200,76.800,55.960,44.040,12.23,320,1.000,bicubic,-72.520,-43.090,-13
resnest50d_1s4x24d,17.653,82.347,49.613,50.387,25.68,224,0.875,bicubic,-77.107,-49.367,+9 regnety_032,21.747,78.253,55.133,44.867,19.44,224,0.875,bicubic,-73.433,-44.007,+1
tf_efficientnet_lite4,17.627,82.373,50.253,49.747,13.01,380,0.920,bilinear,-77.233,-48.767,+5 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
gluon_seresnext101_32x4d,17.360,82.640,46.480,53.520,48.96,224,0.875,bicubic,-77.560,-52.330,+2 resnest50d_4s2x40d,20.507,79.493,52.800,47.200,30.42,224,0.875,bicubic,-74.533,-46.190,+6
resnest50d,17.280,82.720,50.533,49.467,27.48,224,0.875,bilinear,-77.540,-48.347,+4 ssl_resnext50_32x4d,20.093,79.907,53.573,46.427,25.03,224,0.875,bilinear,-74.837,-45.277,+14
tf_efficientnet_b3_ap,17.000,83.000,49.387,50.613,12.23,300,0.904,bicubic,-78.320,-49.513,-15 tresnet_xl,19.613,80.387,52.813,47.187,78.44,224,0.875,bilinear,-75.857,-46.327,-10
gluon_resnext101_64x4d,16.693,83.307,43.960,56.040,83.46,224,0.875,bicubic,-77.947,-54.700,+9 rexnet_200,19.333,80.667,52.387,47.613,16.37,224,0.875,bicubic,-75.667,-46.583,+6
tf_efficientnet_b3,16.693,83.307,49.107,50.893,12.23,300,0.904,bicubic,-78.317,-49.803,-8 gluon_senet154,19.293,80.707,47.560,52.440,115.09,224,0.875,bicubic,-75.657,-51.180,+9
xception71,16.600,83.400,45.240,54.760,42.34,299,0.903,bicubic,-77.690,-53.400,+27 repvgg_b3,19.093,80.907,49.787,50.213,123.09,224,0.875,bilinear,-75.457,-48.963,+29
gluon_resnet152_v1s,16.467,83.533,44.200,55.800,60.32,224,0.875,bicubic,-78.583,-54.730,-13 legacy_senet154,19.080,80.920,48.280,51.720,115.09,224,0.875,bilinear,-75.890,-50.590,+6
tresnet_l,16.413,83.587,49.573,50.427,55.99,224,0.875,bilinear,-78.877,-49.437,-19 vit_deit_small_patch16_224,18.933,81.067,51.080,48.920,22.05,224,0.900,bicubic,-75.417,-47.590,+41
gluon_xception65,16.213,83.787,45.920,54.080,39.92,299,0.903,bicubic,-78.047,-52.650,+26 gluon_seresnext101_64x4d,18.893,81.107,49.107,50.893,88.23,224,0.875,bicubic,-75.987,-49.733,+8
wide_resnet50_2,16.200,83.800,48.080,51.920,68.88,224,0.875,bicubic,-78.870,-50.890,-18 tf_efficientnet_b1_ns,18.667,81.333,51.613,48.387,7.79,240,0.882,bicubic,-76.513,-47.467,-9
gluon_resnet152_v1d,16.160,83.840,44.107,55.893,60.21,224,0.875,bicubic,-78.590,-54.633,-2 ecaresnet50d,18.653,81.347,51.893,48.107,25.58,224,0.875,bicubic,-75.957,-46.947,+19
xception65,15.893,84.107,43.453,56.547,39.92,299,0.903,bicubic,-77.877,-54.907,+56 seresnext50_32x4d,18.400,81.600,50.987,49.013,27.56,224,0.875,bicubic,-76.680,-47.923,-7
ssl_resnet50,15.813,84.187,49.280,50.720,25.56,224,0.875,bilinear,-78.677,-49.640,+9 tf_efficientnet_lite4,17.973,82.027,51.240,48.760,13.01,380,0.920,bilinear,-77.007,-47.750,-2
ecaresnet101d_pruned,15.480,84.520,47.947,52.053,24.88,224,0.875,bicubic,-79.590,-51.033,-23 resnest50d_1s4x24d,17.640,82.360,49.813,50.187,25.68,224,0.875,bicubic,-77.020,-49.187,+10
regnety_320,15.453,84.547,44.560,55.440,145.05,224,0.875,bicubic,-79.097,-54.280,+5 tf_efficientnet_b3_ap,17.187,82.813,49.867,50.133,12.23,300,0.904,bicubic,-78.123,-49.073,-17
ecaresnetlight,15.173,84.827,45.680,54.320,30.16,224,0.875,bicubic,-79.607,-53.120,-9 resnest50d,17.173,82.827,50.600,49.400,27.48,224,0.875,bilinear,-77.497,-48.190,+6
skresnext50_32x4d,15.120,84.880,44.453,55.547,27.48,224,0.875,bicubic,-79.140,-54.017,+19 gluon_resnext101_64x4d,17.133,82.867,44.400,55.600,83.46,224,0.875,bicubic,-77.417,-54.240,+17
rexnet_150,14.360,85.640,46.587,53.413,9.73,224,0.875,bicubic,-80.110,-52.203,+8 gluon_seresnext101_32x4d,17.133,82.867,46.773,53.227,48.96,224,0.875,bicubic,-77.807,-51.957,-3
efficientnet_b2a,14.307,85.693,45.787,54.213,9.11,288,1.000,bicubic,-80.323,-52.923,-5 inception_v4,17.133,82.867,45.853,54.147,42.68,299,0.875,bicubic,-77.227,-52.707,+29
seresnet50,14.027,85.973,45.347,54.653,28.09,224,0.875,bicubic,-80.533,-53.403,-1 xception71,17.027,82.973,45.427,54.573,42.34,299,0.903,bicubic,-77.253,-53.193,+36
legacy_seresnext101_32x4d,13.893,86.107,42.640,57.360,48.96,224,0.875,bilinear,-80.467,-56.000,+8 tf_efficientnet_b3,16.907,83.093,49.707,50.293,12.23,300,0.904,bicubic,-78.113,-49.193,-12
gluon_resnext101_32x4d,13.680,86.320,41.467,58.533,44.18,224,0.875,bicubic,-80.840,-57.163,-1 inception_resnet_v2,16.720,83.280,44.893,55.107,55.84,299,0.897,bicubic,-77.770,-54.057,+16
gluon_seresnext50_32x4d,13.453,86.547,43.507,56.493,27.56,224,0.875,bicubic,-80.897,-55.113,+7 tresnet_l,16.680,83.320,50.040,49.960,55.99,224,0.875,bilinear,-78.500,-48.970,-21
efficientnet_b2,13.253,86.747,44.493,55.507,9.11,260,0.875,bicubic,-81.457,-54.177,-14 wide_resnet50_2,16.653,83.347,48.787,51.213,68.88,224,0.875,bicubic,-78.387,-50.303,-18
regnetx_320,13.160,86.840,40.253,59.747,107.81,224,0.875,bicubic,-81.280,-58.477,+2 gluon_resnet152_v1d,16.600,83.400,44.520,55.480,60.21,224,0.875,bicubic,-78.060,-54.260,-2
ese_vovnet39b,13.147,86.853,43.680,56.320,24.57,224,0.875,bicubic,-80.943,-54.980,+25 gluon_resnet152_v1s,16.587,83.413,44.693,55.307,60.32,224,0.875,bicubic,-78.523,-54.237,-23
mixnet_xl,13.000,87.000,43.133,56.867,11.90,224,0.875,bicubic,-81.190,-55.207,+14 gernet_l,16.360,83.640,47.333,52.667,31.08,256,0.875,bilinear,-78.830,-51.537,-28
efficientnet_b3_pruned,12.987,87.013,44.813,55.187,9.86,300,0.904,bicubic,-81.633,-54.077,-13 gluon_xception65,16.333,83.667,46.147,53.853,39.92,299,0.903,bicubic,-77.917,-52.443,+30
gluon_resnet101_v1d,12.760,87.240,41.267,58.733,44.57,224,0.875,bicubic,-81.440,-57.293,+11 ens_adv_inception_resnet_v2,16.133,83.867,43.627,56.373,55.84,299,0.897,bicubic,-78.027,-54.893,+39
gluon_inception_v3,12.507,87.493,40.200,59.800,23.83,299,0.875,bicubic,-80.953,-58.360,+58 xception65,16.040,83.960,43.787,56.213,39.92,299,0.903,bicubic,-77.720,-54.563,+63
tresnet_m,12.373,87.627,41.547,58.453,31.39,224,0.875,bilinear,-82.237,-57.003,-13 repvgg_b3g4,15.960,84.040,48.013,51.987,83.83,224,0.875,bilinear,-78.530,-50.757,+6
regnety_120,12.240,87.760,41.893,58.107,51.82,224,0.875,bicubic,-82.240,-56.917,-7 ssl_resnet50,15.867,84.133,49.360,50.640,25.56,224,0.875,bilinear,-78.563,-49.510,+11
regnety_160,12.173,87.827,41.107,58.893,83.59,224,0.875,bicubic,-82.177,-57.743,-2 ecaresnet101d_pruned,15.507,84.493,47.813,52.187,24.88,224,0.875,bicubic,-79.573,-51.147,-29
gluon_resnet101_v1s,12.013,87.987,40.773,59.227,44.67,224,0.875,bicubic,-82.687,-58.047,-23 ecaresnet26t,15.453,84.547,47.853,52.147,16.01,320,0.950,bicubic,-78.867,-50.857,+19
efficientnet_em,11.947,88.053,43.667,56.333,6.90,240,0.882,bicubic,-81.903,-55.143,+28 regnety_320,15.440,84.560,44.800,55.200,145.05,224,0.875,bicubic,-79.170,-54.070,-6
vit_small_patch16_224,11.907,88.093,39.920,60.080,48.75,224,0.900,bicubic,-80.863,-58.010,+84 skresnext50_32x4d,15.107,84.893,44.747,55.253,27.48,224,0.875,bicubic,-79.093,-53.713,+26
hrnet_w64,11.880,88.120,40.560,59.440,128.06,224,0.875,bilinear,-82.110,-58.050,+17 ecaresnetlight,15.107,84.893,45.827,54.173,30.16,224,0.875,bicubic,-79.583,-52.973,-16
cspdarknet53,11.680,88.320,42.893,57.107,27.64,256,0.887,bilinear,-82.990,-55.917,-26 rexnet_150,14.800,85.200,46.693,53.307,9.73,224,0.875,bicubic,-79.600,-51.917,+9
resnet50d,11.640,88.360,42.120,57.880,25.58,224,0.875,bicubic,-82.630,-56.600,-5 efficientnet_b2a,14.400,85.600,46.107,53.893,9.11,288,1.000,bicubic,-80.220,-52.673,-11
xception41,11.560,88.440,38.760,61.240,26.97,299,0.903,bicubic,-81.850,-59.660,+51 seresnet50,14.360,85.640,45.613,54.387,28.09,224,0.875,bicubic,-80.140,-53.097,-4
dla102x2,11.387,88.613,41.267,58.733,41.28,224,0.875,bilinear,-82.563,-57.223,+14 legacy_seresnext101_32x4d,14.307,85.693,43.200,56.800,48.96,224,0.875,bilinear,-80.123,-55.380,0
dpn92,11.280,88.720,39.520,60.480,37.67,224,0.875,bicubic,-82.940,-59.210,-4 gluon_resnext101_32x4d,14.080,85.920,41.893,58.107,44.18,224,0.875,bicubic,-80.550,-56.737,-16
efficientnet_b2_pruned,11.253,88.747,41.773,58.227,8.31,260,0.890,bicubic,-82.887,-56.747,+4 gernet_m,13.827,86.173,46.067,53.933,21.14,224,0.875,bilinear,-80.843,-52.773,-22
regnety_080,11.253,88.747,40.613,59.387,39.18,224,0.875,bicubic,-82.927,-58.067,0 efficientnet_b2,13.627,86.373,44.840,55.160,9.11,260,0.875,bicubic,-80.933,-53.880,-11
tf_efficientnet_b0_ns,11.080,88.920,39.880,60.120,5.29,224,0.875,bicubic,-82.540,-58.760,+33 gluon_seresnext50_32x4d,13.507,86.493,43.773,56.227,27.56,224,0.875,bicubic,-80.803,-54.817,+9
ecaresnet50d_pruned,11.000,89.000,42.000,58.000,19.94,224,0.875,bicubic,-83.210,-56.730,-7 ese_vovnet39b,13.360,86.640,43.760,56.240,24.57,224,0.875,bicubic,-80.800,-54.780,+24
hrnet_w48,10.853,89.147,39.973,60.027,77.47,224,0.875,bilinear,-83.087,-58.637,+10 repvgg_b2g4,13.360,86.640,43.667,56.333,61.76,224,0.875,bilinear,-80.560,-54.933,+36
tf_inception_v3,10.840,89.160,36.680,63.320,23.83,299,0.875,bicubic,-82.490,-61.360,+47 mixnet_xl,13.253,86.747,43.440,56.560,11.90,224,0.875,bicubic,-80.937,-54.910,+16
dpn107,10.827,89.173,38.427,61.573,86.92,224,0.875,bicubic,-83.483,-60.053,-18 efficientnet_b3_pruned,13.213,86.787,45.347,54.653,9.86,300,0.904,bicubic,-81.417,-53.423,-24
adv_inception_v3,10.827,89.173,36.467,63.533,23.83,299,0.875,bicubic,-82.063,-61.663,+65 nf_regnet_b1,13.107,86.893,44.360,55.640,10.22,288,0.900,bicubic,-81.033,-54.240,+21
tf_efficientnet_el,10.800,89.200,41.093,58.907,10.59,300,0.904,bicubic,-83.810,-57.657,-34 gluon_resnet101_v1d,13.093,86.907,41.573,58.427,44.57,224,0.875,bicubic,-81.177,-57.067,+6
gluon_resnet152_v1c,10.760,89.240,36.840,63.160,60.21,224,0.875,bicubic,-83.400,-61.800,-7 regnetx_320,12.907,87.093,40.547,59.453,107.81,224,0.875,bicubic,-81.433,-58.263,-2
resnext50_32x4d,10.627,89.373,40.187,59.813,25.03,224,0.875,bicubic,-83.483,-58.163,-3 gluon_inception_v3,12.627,87.373,40.387,59.613,23.83,299,0.875,bicubic,-80.833,-58.213,+57
dpn131,10.600,89.400,36.973,63.027,79.25,224,0.875,bicubic,-83.400,-61.747,-1 regnety_160,12.600,87.400,41.400,58.600,83.59,224,0.875,bicubic,-81.810,-57.480,-9
resnext50d_32x4d,10.453,89.547,39.373,60.627,25.05,224,0.875,bicubic,-83.737,-59.207,-13 regnety_120,12.440,87.560,42.147,57.853,51.82,224,0.875,bicubic,-81.990,-56.723,-13
tf_efficientnet_b2_ap,10.400,89.600,39.747,60.253,9.11,260,0.890,bicubic,-84.090,-58.873,-33 efficientnet_em,12.387,87.613,43.907,56.093,6.90,240,0.882,bicubic,-81.513,-54.633,+29
rexnet_130,10.347,89.653,41.387,58.613,7.56,224,0.875,bicubic,-83.553,-57.013,+2 nf_resnet50,12.360,87.640,46.747,53.253,25.56,288,0.940,bicubic,-82.260,-51.983,-30
hrnet_w44,10.333,89.667,39.200,60.800,67.06,224,0.875,bilinear,-83.247,-59.500,+21 tresnet_m,12.293,87.707,42.173,57.827,31.39,224,0.875,bilinear,-82.307,-56.387,-27
dpn98,10.107,89.893,36.453,63.547,61.57,224,0.875,bicubic,-84.023,-62.117,-11 vit_small_patch16_224,12.093,87.907,40.213,59.787,48.75,224,0.900,bicubic,-80.637,-57.707,+89
cspresnext50,10.093,89.907,40.253,59.747,20.57,224,0.875,bilinear,-84.387,-58.427,-36 hrnet_w64,11.987,88.013,40.973,59.027,128.06,224,0.875,bilinear,-82.043,-57.517,+15
regnety_064,10.000,90.000,38.920,61.080,30.58,224,0.875,bicubic,-84.150,-59.810,-15 cspdarknet53,11.947,88.053,43.147,56.853,27.64,256,0.887,bilinear,-82.643,-55.633,-29
regnetx_160,9.973,90.027,37.733,62.267,54.28,224,0.875,bicubic,-84.147,-61.007,-13 gluon_resnet101_v1s,11.920,88.080,40.493,59.507,44.67,224,0.875,bicubic,-82.830,-58.397,-44
resnext101_32x8d,9.960,90.040,37.493,62.507,88.79,224,0.875,bilinear,-83.840,-61.087,+3 resnet50d,11.760,88.240,42.560,57.440,25.58,224,0.875,bicubic,-82.580,-56.170,-12
legacy_seresnext50_32x4d,9.880,90.120,38.973,61.027,27.56,224,0.875,bilinear,-83.840,-59.607,+9 xception41,11.653,88.347,39.107,60.893,26.97,299,0.903,bicubic,-81.807,-59.303,+47
xception,9.880,90.120,37.920,62.080,22.86,299,0.897,bicubic,-83.590,-60.610,+22 dla102x2,11.547,88.453,41.080,58.920,41.28,224,0.875,bilinear,-82.393,-57.480,+14
inception_v3,9.827,90.173,35.040,64.960,23.83,299,0.875,bicubic,-82.893,-62.920,+58 regnety_080,11.453,88.547,40.880,59.120,39.18,224,0.875,bicubic,-82.707,-57.750,0
tf_efficientnet_b2,9.653,90.347,38.640,61.360,9.11,260,0.890,bicubic,-84.717,-59.970,-39 efficientnet_b2_pruned,11.360,88.640,41.867,58.133,8.31,260,0.890,bicubic,-82.730,-56.653,+7
tf_efficientnet_cc_b1_8e,9.613,90.387,36.880,63.120,39.72,240,0.882,bicubic,-84.297,-61.370,-10 dpn92,11.253,88.747,40.293,59.707,37.67,224,0.875,bicubic,-82.957,-58.437,-6
dpn68b,9.587,90.413,37.720,62.280,12.61,224,0.875,bicubic,-84.093,-60.800,+6 ecaresnet50d_pruned,11.253,88.747,42.160,57.840,19.94,224,0.875,bicubic,-83.027,-56.630,-14
gluon_resnet152_v1b,9.587,90.413,35.693,64.307,60.19,224,0.875,bicubic,-84.503,-62.757,-18 tf_efficientnet_el,11.200,88.800,42.200,57.800,10.59,300,0.904,bicubic,-83.220,-56.550,-26
tf_efficientnet_lite3,9.480,90.520,38.960,61.040,8.20,300,0.904,bilinear,-84.710,-59.680,-28 adv_inception_v3,11.040,88.960,36.840,63.160,23.83,299,0.875,bicubic,-81.850,-61.330,+68
res2net101_26w_4s,9.413,90.587,34.440,65.560,45.21,224,0.875,bilinear,-84.317,-63.880,-1 dpn107,11.027,88.973,38.667,61.333,86.92,224,0.875,bicubic,-83.303,-59.863,-20
legacy_seresnet152,9.240,90.760,37.120,62.880,66.82,224,0.875,bilinear,-84.180,-61.230,+17 hrnet_w48,11.027,88.973,40.693,59.307,77.47,224,0.875,bilinear,-82.803,-57.937,+17
cspresnet50,9.213,90.787,39.467,60.533,21.62,256,0.887,bilinear,-84.537,-59.163,-5 tf_inception_v3,10.920,89.080,37.027,62.973,23.83,299,0.875,bicubic,-82.350,-61.023,+50
efficientnet_b1,9.213,90.787,37.227,62.773,7.79,240,0.875,bicubic,-84.057,-60.963,+25 tf_efficientnet_b0_ns,10.880,89.120,40.307,59.693,5.29,224,0.875,bicubic,-82.640,-58.313,+32
seresnext26t_32x4d,9.187,90.813,37.187,62.813,16.82,224,0.875,bicubic,-83.873,-60.913,+32 gluon_resnet152_v1c,10.800,89.200,37.067,62.933,60.21,224,0.875,bicubic,-83.380,-61.573,-11
hrnet_w40,9.107,90.893,36.533,63.467,57.56,224,0.875,bilinear,-84.383,-62.057,+9 resnext50_32x4d,10.787,89.213,40.667,59.333,25.03,224,0.875,bicubic,-83.223,-57.723,-1
regnetx_120,9.067,90.933,36.947,63.053,46.11,224,0.875,bicubic,-85.173,-61.723,-41 rexnet_130,10.720,89.280,41.560,58.440,7.56,224,0.875,bicubic,-83.120,-56.840,+11
gluon_resnext50_32x4d,9.027,90.973,36.320,63.680,25.03,224,0.875,bicubic,-84.793,-62.090,-15 dpn131,10.640,89.360,37.440,62.560,79.25,224,0.875,bicubic,-83.240,-61.300,+7
resnest26d,9.013,90.987,37.560,62.440,17.07,224,0.875,bilinear,-84.357,-61.080,+13 hrnet_w44,10.547,89.453,39.467,60.533,67.06,224,0.875,bilinear,-83.113,-59.223,+20
regnety_040,8.853,91.147,37.000,63.000,20.65,224,0.875,bicubic,-85.007,-61.640,-19 tf_efficientnet_b2_ap,10.493,89.507,39.813,60.187,9.11,260,0.890,bicubic,-83.967,-58.827,-42
rexnet_100,8.813,91.187,36.240,63.760,4.80,224,0.875,bicubic,-84.217,-61.950,+30 resnext50d_32x4d,10.480,89.520,39.907,60.093,25.05,224,0.875,bicubic,-83.680,-58.783,-15
seresnext26tn_32x4d,8.800,91.200,36.600,63.400,16.81,224,0.875,bicubic,-84.010,-61.770,+33 legacy_seresnext50_32x4d,10.347,89.653,39.027,60.973,27.56,224,0.875,bilinear,-83.393,-59.483,+12
seresnext26d_32x4d,8.800,91.200,36.427,63.573,16.81,224,0.875,bicubic,-83.930,-61.723,+40 regnety_064,10.227,89.773,39.320,60.680,30.58,224,0.875,bicubic,-84.003,-59.430,-24
mixnet_l,8.747,91.253,36.173,63.827,7.33,224,0.875,bicubic,-84.683,-62.047,+4 dpn98,10.147,89.853,36.587,63.413,61.57,224,0.875,bicubic,-83.953,-61.993,-12
hrnet_w30,8.533,91.467,36.827,63.173,37.71,224,0.875,bilinear,-84.677,-61.583,+15 xception,10.133,89.867,38.013,61.987,22.86,299,0.897,bicubic,-83.247,-60.507,+32
dla169,8.373,91.627,35.907,64.093,53.39,224,0.875,bilinear,-84.967,-62.693,+7 gluon_resnet152_v1b,10.120,89.880,35.853,64.147,60.19,224,0.875,bicubic,-84.040,-62.847,-18
tf_efficientnet_b1_ap,8.333,91.667,35.147,64.853,7.79,240,0.882,bicubic,-85.377,-63.213,-14 resnext101_32x8d,10.027,89.973,37.720,62.280,88.79,224,0.875,bilinear,-83.833,-60.930,0
legacy_seresnet101,8.267,91.733,35.707,64.293,49.33,224,0.875,bilinear,-85.023,-62.793,+9 regnetx_160,9.973,90.027,38.120,61.880,54.28,224,0.875,bicubic,-84.247,-60.680,-28
resnetblur50,8.200,91.800,37.320,62.680,25.56,224,0.875,bicubic,-85.750,-61.270,-34 cspresnext50,9.920,90.080,40.267,59.733,20.57,224,0.875,bilinear,-84.520,-58.453,-50
dla102x,8.173,91.827,36.827,63.173,26.31,224,0.875,bilinear,-85.347,-61.533,-7 inception_v3,9.920,90.080,35.320,64.680,23.83,299,0.875,bicubic,-82.790,-62.640,+58
hrnet_w32,7.933,92.067,37.253,62.747,41.23,224,0.875,bilinear,-85.587,-61.247,-10 dpn68b,9.813,90.187,38.213,61.787,12.61,224,0.875,bicubic,-83.787,-60.297,+11
gluon_resnet50_v1d,7.827,92.173,34.787,65.213,25.58,224,0.875,bicubic,-85.953,-63.613,-26 res2net101_26w_4s,9.707,90.293,35.027,64.973,45.21,224,0.875,bilinear,-83.943,-63.373,+9
gluon_resnet101_v1c,7.800,92.200,32.947,67.053,44.57,224,0.875,bicubic,-85.870,-65.463,-18 tf_efficientnet_b2,9.667,90.333,39.000,61.000,9.11,260,0.890,bicubic,-84.733,-59.820,-48
dla60_res2next,7.747,92.253,34.653,65.347,17.03,224,0.875,bilinear,-85.433,-63.757,+8 tf_efficientnet_cc_b1_8e,9.573,90.427,36.880,63.120,39.72,240,0.882,bicubic,-84.387,-61.360,-17
res2net50_26w_8s,7.747,92.253,33.480,66.520,48.40,224,0.875,bilinear,-85.793,-64.790,-15 legacy_seresnet152,9.507,90.493,37.400,62.600,66.82,224,0.875,bilinear,-83.823,-60.980,+24
densenetblur121d,7.560,92.440,34.560,65.440,8.00,224,0.875,bicubic,-84.360,-63.530,+53 tf_efficientnet_lite3,9.373,90.627,39.267,60.733,8.20,300,0.904,bilinear,-84.867,-59.363,-38
dla60_res2net,7.347,92.653,34.400,65.600,20.85,224,0.875,bilinear,-85.803,-64.020,+6 cspresnet50,9.213,90.787,39.747,60.253,21.62,256,0.887,bilinear,-84.537,-58.923,-4
regnetx_064,7.320,92.680,34.360,65.640,26.21,224,0.875,bicubic,-86.570,-64.270,-39 gluon_resnext50_32x4d,9.173,90.827,36.613,63.387,25.03,224,0.875,bicubic,-84.547,-61.857,-3
wide_resnet101_2,7.307,92.693,33.707,66.293,126.89,224,0.875,bilinear,-86.423,-64.833,-28 seresnext26d_32x4d,9.160,90.840,37.000,63.000,16.81,224,0.875,bicubic,-83.520,-61.130,+53
efficientnet_b1_pruned,7.280,92.720,34.427,65.573,6.33,240,0.882,bicubic,-85.490,-63.613,+18 efficientnet_b1,9.147,90.853,37.360,62.640,7.79,240,0.875,bicubic,-84.103,-60.810,+24
efficientnet_b0,7.213,92.787,33.840,66.160,5.29,224,0.875,bicubic,-85.457,-64.240,+25 hrnet_w40,9.120,90.880,37.147,62.853,57.56,224,0.875,bilinear,-84.330,-61.423,+10
gluon_resnet101_v1b,7.133,92.867,32.707,67.293,44.55,224,0.875,bicubic,-86.597,-65.693,-33 seresnext26t_32x4d,9.040,90.960,36.813,63.187,16.81,224,0.875,bicubic,-83.660,-61.567,+47
tf_efficientnet_cc_b0_8e,7.133,92.867,31.667,68.333,24.01,224,0.875,bicubic,-85.687,-66.513,+12 rexnet_100,9.027,90.973,36.533,63.467,4.80,224,0.875,bicubic,-84.053,-61.617,+28
tf_efficientnet_b1,7.120,92.880,33.107,66.893,7.79,240,0.882,bicubic,-86.400,-65.323,-22 regnetx_120,9.013,90.987,37.173,62.827,46.11,224,0.875,bicubic,-85.107,-61.567,-33
gluon_resnet50_v1s,7.080,92.920,33.213,66.787,25.68,224,0.875,bicubic,-86.550,-65.257,-29 resnest26d,8.880,91.120,37.853,62.147,17.07,224,0.875,bilinear,-84.560,-60.847,+8
tf_mixnet_l,7.067,92.933,31.587,68.413,7.33,224,0.875,bicubic,-86.233,-66.443,-10 regnety_040,8.787,91.213,36.707,63.293,20.65,224,0.875,bicubic,-85.143,-61.983,-26
mixnet_m,6.667,93.333,32.040,67.960,5.01,224,0.875,bicubic,-85.773,-65.830,+29 legacy_seresnet101,8.733,91.267,35.840,64.160,49.33,224,0.875,bilinear,-84.547,-62.630,+15
ese_vovnet19b_dw,6.653,93.347,33.160,66.840,6.54,224,0.875,bicubic,-85.637,-64.940,+34 mixnet_l,8.693,91.307,36.333,63.667,7.33,224,0.875,bicubic,-84.747,-62.267,+6
selecsls60b,6.627,93.373,33.133,66.867,32.77,224,0.875,bicubic,-86.663,-65.147,-11 hrnet_w30,8.587,91.413,37.453,62.547,37.71,224,0.875,bilinear,-84.543,-60.947,+20
efficientnet_es,6.560,93.440,33.693,66.307,5.44,224,0.875,bicubic,-86.640,-64.717,-9 tf_efficientnet_b1_ap,8.520,91.480,35.213,64.787,7.79,240,0.882,bicubic,-85.180,-63.157,-12
res2net50_26w_6s,6.520,93.480,31.493,68.507,37.05,224,0.875,bilinear,-86.880,-66.787,-20 repvgg_b2,8.440,91.560,36.320,63.680,89.02,224,0.875,bilinear,-85.000,-61.950,+1
legacy_seresnext26_32x4d,6.440,93.560,32.893,67.107,16.79,224,0.875,bicubic,-86.190,-65.227,+16 dla169,8.360,91.640,36.040,63.960,53.39,224,0.875,bilinear,-85.030,-62.510,+4
skresnet34,6.387,93.613,31.453,68.547,22.28,224,0.875,bicubic,-85.993,-66.687,+25 resnetblur50,8.200,91.800,36.920,63.080,25.56,224,0.875,bicubic,-85.780,-61.600,-37
regnetx_080,6.373,93.627,32.213,67.787,39.57,224,0.875,bicubic,-87.487,-66.307,-54 dla102x,8.187,91.813,36.907,63.093,26.31,224,0.875,bilinear,-85.373,-61.653,-11
resnet34d,6.347,93.653,31.667,68.333,21.82,224,0.875,bicubic,-86.343,-66.633,+10 hrnet_w32,8.120,91.880,37.507,62.493,41.23,224,0.875,bilinear,-85.350,-60.883,-7
dla60x,6.320,93.680,33.773,66.227,17.35,224,0.875,bilinear,-86.780,-64.717,-11 res2net50_26w_8s,8.053,91.947,34.093,65.907,48.40,224,0.875,bilinear,-85.597,-64.177,-16
swsl_resnet18,6.213,93.787,31.373,68.627,11.69,224,0.875,bilinear,-84.467,-66.337,+58 gluon_resnet101_v1c,8.000,92.000,32.853,67.147,44.57,224,0.875,bicubic,-85.790,-65.547,-27
pnasnet5large,6.200,93.800,19.053,80.947,86.06,331,0.911,bicubic,-4.490,-11.997,+83 gluon_resnet50_v1d,7.947,92.053,35.093,64.907,25.58,224,0.875,bicubic,-85.763,-63.297,-22
legacy_seresnet50,6.040,93.960,32.440,67.560,28.09,224,0.875,bilinear,-86.910,-65.750,-7 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
tf_efficientnet_cc_b0_4e,5.973,94.027,29.520,70.480,13.31,224,0.875,bicubic,-86.637,-68.560,+10 dla60_res2next,7.827,92.173,34.773,65.227,17.03,224,0.875,bilinear,-85.343,-63.657,+7
tv_resnet152,5.973,94.027,31.587,68.413,60.19,224,0.875,bilinear,-87.347,-66.803,-26 densenetblur121d,7.600,92.400,34.173,65.827,8.00,224,0.875,bicubic,-84.150,-63.927,+61
dla102,5.827,94.173,32.440,67.560,33.27,224,0.875,bilinear,-87.263,-66.110,-16 dla60_res2net,7.573,92.427,34.733,65.267,20.85,224,0.875,bilinear,-85.617,-63.657,+4
regnetx_040,5.800,94.200,31.173,68.827,22.12,224,0.875,bicubic,-87.760,-67.377,-44 wide_resnet101_2,7.560,92.440,34.493,65.507,126.89,224,0.875,bilinear,-86.320,-64.077,-37
resnet50,5.800,94.200,29.067,70.933,25.56,224,0.875,bicubic,-88.010,-69.313,-60 efficientnet_b1_pruned,7.480,92.520,34.467,65.533,6.33,240,0.882,bicubic,-85.280,-63.573,+22
selecsls60,5.720,94.280,32.320,67.680,30.67,224,0.875,bicubic,-87.330,-65.980,-17 regnetx_064,7.427,92.573,34.120,65.880,26.21,224,0.875,bicubic,-86.513,-64.550,-46
inception_v4,5.573,94.427,16.173,83.827,42.68,299,0.875,bicubic,-4.997,-12.087,+77 gluon_resnet101_v1b,7.320,92.680,32.627,67.373,44.55,224,0.875,bicubic,-86.440,-65.843,-35
regnety_016,5.573,94.427,30.293,69.707,11.20,224,0.875,bicubic,-87.457,-68.067,-17 vit_deit_tiny_patch16_224,7.240,92.760,30.707,69.293,5.72,224,0.900,bicubic,-82.410,-66.733,+89
res2next50,5.520,94.480,30.587,69.413,24.67,224,0.875,bilinear,-87.310,-67.583,-14 gluon_resnet50_v1s,7.147,92.853,33.267,66.733,25.68,224,0.875,bicubic,-86.553,-65.203,-31
hrnet_w18,5.467,94.533,30.787,69.213,21.30,224,0.875,bilinear,-86.843,-67.453,+11 tf_efficientnet_cc_b0_8e,7.133,92.867,31.800,68.200,24.01,224,0.875,bicubic,-85.687,-66.460,+12
tf_efficientnet_lite2,5.387,94.613,30.893,69.107,6.09,260,0.890,bicubic,-87.273,-67.337,-3 tf_efficientnet_b1,7.093,92.907,33.027,66.973,7.79,240,0.882,bicubic,-86.397,-65.313,-23
inception_resnet_v2,5.360,94.640,16.227,83.773,55.85,299,0.897,bicubic,-5.570,-12.643,+69 efficientnet_b0,7.000,93.000,34.213,65.787,5.29,224,0.875,bicubic,-85.550,-63.867,+27
resnest14d,5.347,94.653,28.587,71.413,10.61,224,0.875,bilinear,-86.393,-69.283,+23 tf_mixnet_l,6.947,93.053,31.800,68.200,7.33,224,0.875,bicubic,-86.413,-66.240,-14
tf_efficientnet_em,5.347,94.653,31.707,68.293,6.90,240,0.882,bicubic,-88.153,-66.733,-49 ese_vovnet19b_dw,6.827,93.173,33.093,66.907,6.54,224,0.875,bicubic,-85.473,-64.987,+33
tf_efficientnet_b0_ap,5.307,94.693,28.720,71.280,5.29,224,0.875,bicubic,-86.913,-69.390,+10 res2net50_26w_6s,6.787,93.213,31.907,68.093,37.05,224,0.875,bilinear,-86.743,-66.523,-29
ens_adv_inception_resnet_v2,5.173,94.827,15.680,84.320,55.85,299,0.897,bicubic,-5.477,-14.810,+67 resnet34d,6.733,93.267,31.760,68.240,21.82,224,0.875,bicubic,-86.037,-66.500,+9
mobilenetv3_large_100,5.120,94.880,28.040,71.960,5.48,224,0.875,bicubic,-86.210,-69.670,+23 selecsls60b,6.693,93.307,33.453,66.547,32.77,224,0.875,bicubic,-86.607,-64.857,-15
densenet121,5.080,94.920,29.627,70.373,7.98,224,0.875,bicubic,-86.480,-68.393,+19 mixnet_m,6.667,93.333,32.200,67.800,5.01,224,0.875,bicubic,-85.783,-65.670,+25
res2net50_26w_4s,5.067,94.933,28.987,71.013,25.70,224,0.875,bilinear,-87.423,-69.303,-4 efficientnet_es,6.627,93.373,34.333,65.667,5.44,224,0.875,bicubic,-86.443,-64.147,-6
tf_efficientnet_b0,5.040,94.960,28.907,71.093,5.29,224,0.875,bicubic,-87.190,-69.093,+4 skresnet34,6.627,93.373,31.560,68.440,22.28,224,0.875,bicubic,-85.783,-66.660,+24
tf_mixnet_m,5.040,94.960,28.080,71.920,5.01,224,0.875,bicubic,-87.290,-69.810,-1 legacy_seresnext26_32x4d,6.600,93.400,33.253,66.747,16.79,224,0.875,bicubic,-85.920,-64.897,+19
res2net50_14w_8s,4.907,95.093,28.320,71.680,25.06,224,0.875,bilinear,-87.813,-69.870,-17 dla60x,6.560,93.440,33.680,66.320,17.35,224,0.875,bilinear,-86.570,-64.840,-13
regnetx_032,4.880,95.120,29.920,70.080,15.30,224,0.875,bicubic,-88.240,-68.470,-38 repvgg_b1,6.547,93.453,33.760,66.240,57.42,224,0.875,bilinear,-86.863,-64.770,-27
mixnet_s,4.827,95.173,28.493,71.507,4.13,224,0.875,bicubic,-86.993,-69.367,+10 regnetx_080,6.347,93.653,32.253,67.747,39.57,224,0.875,bicubic,-87.553,-66.567,-60
mobilenetv3_rw,4.813,95.187,29.520,70.480,5.48,224,0.875,bicubic,-86.397,-68.140,+18 tv_resnet152,6.240,93.760,32.440,67.560,60.19,224,0.875,bilinear,-87.090,-65.930,-24
gluon_resnet50_v1c,4.773,95.227,27.773,72.227,25.58,224,0.875,bicubic,-88.257,-70.597,-36 legacy_seresnet50,6.213,93.787,32.760,67.240,28.09,224,0.875,bilinear,-86.797,-65.420,-10
selecsls42b,4.707,95.293,28.320,71.680,32.46,224,0.875,bicubic,-87.593,-69.830,-5 swsl_resnet18,6.120,93.880,31.680,68.320,11.69,224,0.875,bilinear,-84.650,-66.090,+58
tv_resnext50_32x4d,4.693,95.307,29.813,70.187,25.03,224,0.875,bilinear,-88.067,-68.457,-27 tf_efficientnet_cc_b0_4e,6.027,93.973,29.587,70.413,13.31,224,0.875,bicubic,-86.533,-68.553,+10
densenet161,4.573,95.427,29.520,70.480,28.68,224,0.875,bicubic,-87.917,-68.540,-13 dla102,6.000,94.000,32.867,67.133,33.27,224,0.875,bilinear,-87.090,-65.623,-18
tv_resnet101,4.547,95.453,28.907,71.093,44.55,224,0.875,bilinear,-88.253,-69.323,-32 res2next50,5.907,94.093,30.827,69.173,24.67,224,0.875,bilinear,-86.983,-67.363,-10
tf_efficientnet_lite1,4.467,95.533,28.347,71.653,5.42,240,0.882,bicubic,-88.153,-69.733,-21 resnet50,5.867,94.133,28.893,71.107,25.56,224,0.875,bicubic,-88.063,-69.447,-69
mobilenetv2_120d,4.427,95.573,29.040,70.960,5.83,224,0.875,bicubic,-87.973,-69.010,-14 regnetx_040,5.667,94.333,31.653,68.347,22.12,224,0.875,bicubic,-87.883,-66.807,-47
fbnetc_100,4.080,95.920,25.480,74.520,5.57,224,0.875,bilinear,-86.630,-71.730,+22 selecsls60,5.613,94.387,32.427,67.573,30.67,224,0.875,bicubic,-87.347,-65.793,-16
gluon_resnet50_v1b,4.027,95.973,26.827,73.173,25.56,224,0.875,bicubic,-88.513,-71.363,-20 regnety_016,5.453,94.547,30.507,69.493,11.20,224,0.875,bicubic,-87.797,-67.893,-28
densenet201,3.987,96.013,27.253,72.747,20.01,224,0.875,bicubic,-88.763,-70.987,-33 hrnet_w18,5.440,94.560,31.160,68.840,21.30,224,0.875,bilinear,-86.880,-67.150,+11
dpn68,3.933,96.067,26.013,73.987,12.61,224,0.875,bicubic,-88.077,-72.027,-7 resnest14d,5.400,94.600,28.747,71.253,10.61,224,0.875,bilinear,-86.130,-69.203,+29
resnet26d,3.920,96.080,28.227,71.773,16.01,224,0.875,bicubic,-88.130,-69.723,-9 tf_efficientnet_em,5.400,94.600,31.133,68.867,6.90,240,0.882,bicubic,-87.540,-67.057,-19
tf_mixnet_s,3.920,96.080,25.200,74.800,4.13,224,0.875,bicubic,-87.590,-72.410,0 res2net50_14w_8s,5.347,94.653,28.960,71.040,25.06,224,0.875,bilinear,-87.453,-69.210,-14
semnasnet_100,3.880,96.120,26.840,73.160,3.89,224,0.875,bicubic,-87.410,-70.730,+2 tf_efficientnet_lite2,5.320,94.680,30.893,69.107,6.09,260,0.890,bicubic,-87.370,-67.327,-8
regnety_008,3.707,96.293,26.853,73.147,6.26,224,0.875,bicubic,-88.033,-71.327,-5 repvgg_b1g4,5.253,94.747,30.733,69.267,39.97,224,0.875,bilinear,-87.567,-67.647,-19
ssl_resnet18,3.707,96.293,25.280,74.720,11.69,224,0.875,bilinear,-86.523,-72.280,+20 tf_efficientnet_b0_ap,5.240,94.760,28.947,71.053,5.29,224,0.875,bicubic,-86.940,-69.103,+8
densenet169,3.680,96.320,25.533,74.467,14.15,224,0.875,bicubic,-88.230,-72.567,-11 densenet121,5.240,94.760,29.827,70.173,7.98,224,0.875,bicubic,-86.460,-68.183,+23
mobilenetv2_140,3.667,96.333,26.480,73.520,6.11,224,0.875,bicubic,-88.153,-71.210,-10 tf_mixnet_m,5.133,94.867,28.200,71.800,5.01,224,0.875,bicubic,-87.247,-69.710,+2
tf_mobilenetv3_large_100,3.653,96.347,25.000,75.000,5.48,224,0.875,bilinear,-87.577,-72.660,-2 res2net50_26w_4s,5.107,94.893,29.293,70.707,25.70,224,0.875,bilinear,-87.373,-68.847,-3
dla60,3.573,96.427,27.920,72.080,22.04,224,0.875,bilinear,-88.647,-70.100,-19 gernet_s,5.080,94.920,30.480,69.520,8.17,224,0.875,bilinear,-86.880,-67.730,+13
res2net50_48w_2s,3.573,96.427,26.333,73.667,25.29,224,0.875,bilinear,-88.987,-71.737,-34 regnetx_032,5.053,94.947,30.360,69.640,15.30,224,0.875,bicubic,-88.007,-67.980,-32
spnasnet_100,3.533,96.467,24.213,75.787,4.42,224,0.875,bilinear,-86.817,-72.977,+12 tf_efficientnet_b0,5.000,95.000,28.667,71.333,5.29,224,0.875,bicubic,-87.260,-69.233,+1
regnety_006,3.507,96.493,24.893,75.107,6.06,224,0.875,bicubic,-87.863,-72.817,-9 mobilenetv3_large_100,4.920,95.080,28.427,71.573,5.48,224,0.875,bicubic,-86.200,-69.273,+27
regnetx_016,3.467,96.533,26.387,73.613,9.19,224,0.875,bicubic,-88.703,-71.823,-22 gluon_resnet50_v1c,4.907,95.093,28.120,71.880,25.58,224,0.875,bicubic,-88.123,-70.210,-34
tf_efficientnet_es,3.387,96.613,27.093,72.907,5.44,224,0.875,bicubic,-89.163,-71.197,-37 mobilenetv3_rw,4.853,95.147,30.213,69.787,5.48,224,0.875,bicubic,-86.347,-67.437,+21
legacy_seresnet34,3.293,96.707,23.613,76.387,21.96,224,0.875,bilinear,-87.597,-73.967,+2 mixnet_s,4.840,95.160,28.533,71.467,4.13,224,0.875,bicubic,-86.990,-69.157,+10
efficientnet_lite0,3.280,96.720,25.720,74.280,4.65,224,0.875,bicubic,-87.890,-71.900,-7 densenet161,4.840,95.160,29.613,70.387,28.68,224,0.875,bicubic,-87.840,-68.737,-19
dla34,3.160,96.840,23.573,76.427,15.74,224,0.875,bilinear,-87.600,-74.077,+1 selecsls42b,4.827,95.173,28.893,71.107,32.46,224,0.875,bicubic,-87.413,-69.307,-4
mnasnet_100,3.107,96.893,24.227,75.773,4.38,224,0.875,bicubic,-87.403,-73.243,+3 tv_resnext50_32x4d,4.800,95.200,30.520,69.480,25.03,224,0.875,bilinear,-87.970,-67.680,-28
mobilenetv2_110d,3.107,96.893,24.373,75.627,4.52,224,0.875,bicubic,-87.863,-73.167,-4 tv_resnet101,4.627,95.373,29.293,70.707,44.55,224,0.875,bilinear,-88.183,-68.967,-32
regnety_004,3.067,96.933,22.613,77.387,4.34,224,0.875,bicubic,-87.433,-74.947,+2 tf_efficientnet_lite1,4.547,95.453,28.320,71.680,5.42,240,0.882,bicubic,-88.053,-69.730,-20
tf_efficientnet_lite0,3.067,96.933,22.813,77.187,4.65,224,0.875,bicubic,-87.973,-74.757,-8 mobilenetv2_120d,4.493,95.507,29.867,70.133,5.83,224,0.875,bicubic,-87.977,-68.133,-15
skresnet18,2.987,97.013,22.733,77.267,11.96,224,0.875,bicubic,-86.673,-74.487,+6 resnet26d,4.120,95.880,28.413,71.587,16.01,224,0.875,bicubic,-87.960,-69.587,-3
resnet34,2.907,97.093,23.560,76.440,21.80,224,0.875,bilinear,-88.203,-74.060,-12 semnasnet_100,4.080,95.920,27.227,72.773,3.89,224,0.875,bicubic,-87.180,-70.333,+11
tf_mobilenetv3_large_075,2.853,97.147,21.600,78.400,3.99,224,0.875,bilinear,-86.857,-75.620,+3 densenet201,4.040,95.960,27.640,72.360,20.01,224,0.875,bicubic,-88.630,-70.620,-26
regnetx_008,2.733,97.267,22.347,77.653,7.26,224,0.875,bicubic,-88.317,-75.363,-13 gluon_resnet50_v1b,3.973,96.027,26.920,73.080,25.56,224,0.875,bicubic,-88.647,-71.250,-27
gluon_resnet34_v1b,2.653,97.347,21.547,78.453,21.80,224,0.875,bicubic,-88.337,-76.093,-12 fbnetc_100,3.973,96.027,26.053,73.947,5.57,224,0.875,bilinear,-86.877,-71.187,+22
hrnet_w18_small_v2,2.627,97.373,23.587,76.413,15.60,224,0.875,bilinear,-88.563,-74.313,-19 repvgg_a2,3.920,96.080,26.827,73.173,28.21,224,0.875,bilinear,-88.200,-71.373,-10
resnet18d,2.493,97.507,21.600,78.400,11.71,224,0.875,bicubic,-86.807,-75.550,+2 mobilenetv2_140,3.853,96.147,26.533,73.467,6.11,224,0.875,bicubic,-88.007,-71.337,-4
regnetx_006,2.467,97.533,20.627,79.373,6.20,224,0.875,bicubic,-87.863,-76.803,-5 dpn68,3.840,96.160,25.987,74.013,12.61,224,0.875,bicubic,-88.220,-72.073,-9
tv_densenet121,2.453,97.547,22.547,77.453,7.98,224,0.875,bicubic,-88.447,-75.163,-14 tf_efficientnet_es,3.840,96.160,26.347,73.653,5.44,224,0.875,bicubic,-88.160,-71.543,-9
legacy_seresnet18,2.440,97.560,19.827,80.173,11.78,224,0.875,bicubic,-86.440,-77.143,+3 regnety_008,3.800,96.200,27.427,72.573,6.26,224,0.875,bicubic,-88.060,-70.763,-6
resnet26,2.373,97.627,22.693,77.307,16.00,224,0.875,bicubic,-88.747,-75.037,-22 tf_mixnet_s,3.773,96.227,25.373,74.627,4.13,224,0.875,bicubic,-87.647,-72.237,-1
mobilenetv2_100,2.147,97.853,19.640,80.360,3.50,224,0.875,bicubic,-87.463,-77.500,-4 densenet169,3.760,96.240,25.720,74.280,14.15,224,0.875,bicubic,-88.320,-72.450,-15
regnety_002,2.067,97.933,18.587,81.413,3.16,224,0.875,bicubic,-85.293,-77.983,+3 res2net50_48w_2s,3.680,96.320,26.827,73.173,25.29,224,0.875,bilinear,-88.900,-71.243,-33
tf_mobilenetv3_small_100,2.000,98.000,15.880,84.120,2.54,224,0.875,bilinear,-83.180,-79.900,+5 ssl_resnet18,3.653,96.347,25.307,74.693,11.69,224,0.875,bilinear,-86.597,-72.313,+19
tf_mobilenetv3_small_075,1.973,98.027,14.840,85.160,2.04,224,0.875,bilinear,-81.517,-79.950,+7 dla60,3.653,96.347,27.800,72.200,22.04,224,0.875,bilinear,-88.487,-70.260,-20
regnetx_004,1.960,98.040,19.080,80.920,5.16,224,0.875,bicubic,-86.930,-78.040,-4 regnetx_016,3.640,96.360,26.413,73.587,9.19,224,0.875,bicubic,-88.500,-71.867,-21
tv_resnet34,1.827,98.173,19.813,80.187,21.80,224,0.875,bilinear,-88.093,-77.527,-12 tf_mobilenetv3_large_100,3.587,96.413,24.907,75.093,5.48,224,0.875,bilinear,-87.523,-72.763,+2
dla46x_c,1.693,98.307,16.373,83.627,1.07,224,0.875,bilinear,-82.557,-78.907,+2 spnasnet_100,3.547,96.453,24.533,75.467,4.42,224,0.875,bilinear,-86.823,-72.627,+15
tf_mobilenetv3_large_minimal_100,1.627,98.373,17.200,82.800,3.92,224,0.875,bilinear,-87.333,-79.670,-8 regnety_006,3.533,96.467,25.280,74.720,6.06,224,0.875,bicubic,-87.747,-72.530,-7
dla60x_c,1.587,98.413,17.800,82.200,1.32,224,0.875,bilinear,-84.693,-78.360,-3 legacy_seresnet34,3.253,96.747,23.813,76.187,21.96,224,0.875,bilinear,-87.717,-73.797,+4
gluon_resnet18_v1b,1.547,98.453,16.600,83.400,11.69,224,0.875,bicubic,-86.823,-80.090,-7 dla34,3.227,96.773,23.853,76.147,15.74,224,0.875,bilinear,-87.563,-73.737,+6
hrnet_w18_small,1.507,98.493,18.093,81.907,13.19,224,0.875,bilinear,-87.533,-79.007,-12 efficientnet_lite0,3.200,96.800,25.773,74.227,4.65,224,0.875,bicubic,-87.870,-71.887,-2
dla46_c,1.453,98.547,15.027,84.973,1.30,224,0.875,bilinear,-82.187,-79.883,-2 mnasnet_100,3.120,96.880,24.267,75.733,4.38,224,0.875,bicubic,-87.340,-73.223,+8
regnetx_002,1.267,98.733,14.827,85.173,2.68,224,0.875,bicubic,-84.933,-81.143,-6 mobilenetv2_110d,3.053,96.947,24.507,75.493,4.52,224,0.875,bicubic,-87.807,-73.103,+1
resnet18,1.120,98.880,16.173,83.827,11.69,224,0.875,bilinear,-86.250,-80.087,-10 regnety_004,3.027,96.973,23.080,76.920,4.34,224,0.875,bicubic,-87.453,-74.430,+5
tf_mobilenetv3_small_minimal_100,1.027,98.973,11.400,88.600,2.04,224,0.875,bilinear,-80.353,-82.270,-3 skresnet18,3.013,96.987,23.027,76.973,11.96,224,0.875,bicubic,-86.747,-74.293,+12
tv_resnet50,0.027,99.973,14.320,85.680,25.56,224,0.875,bilinear,-91.853,-83.720,-52 tf_efficientnet_lite0,3.013,96.987,23.013,76.987,4.65,224,0.875,bicubic,-88.007,-74.407,-6
resnet34,2.960,97.040,24.000,76.000,21.80,224,0.875,bilinear,-88.220,-73.730,-13
vgg19_bn,2.947,97.053,23.333,76.667,143.68,224,0.875,bilinear,-87.143,-74.277,+6
vgg16_bn,2.893,97.107,23.840,76.160,138.37,224,0.875,bilinear,-87.147,-73.520,+6
hrnet_w18_small_v2,2.880,97.120,23.680,76.320,15.60,224,0.875,bilinear,-88.460,-74.270,-20
tf_mobilenetv3_large_075,2.880,97.120,21.747,78.253,3.99,224,0.875,bilinear,-86.780,-75.533,+7
resnet18d,2.853,97.147,21.800,78.200,11.71,224,0.875,bicubic,-86.297,-75.420,+9
tv_densenet121,2.667,97.333,22.760,77.240,7.98,224,0.875,bicubic,-88.313,-74.980,-12
gluon_resnet34_v1b,2.560,97.440,21.773,78.227,21.80,224,0.875,bicubic,-88.410,-75.867,-12
repvgg_b0,2.560,97.440,24.120,75.880,15.82,224,0.875,bilinear,-88.860,-73.800,-27
vgg16,2.560,97.440,20.293,79.707,138.36,224,0.875,bilinear,-86.080,-76.487,+12
regnetx_008,2.547,97.453,22.333,77.667,7.26,224,0.875,bicubic,-88.633,-75.217,-21
resnet26,2.480,97.520,23.053,76.947,16.00,224,0.875,bicubic,-88.700,-74.747,-23
legacy_seresnet18,2.440,97.560,19.880,80.120,11.78,224,0.875,bicubic,-86.470,-77.110,+6
regnetx_006,2.307,97.693,20.760,79.240,6.20,224,0.875,bicubic,-88.073,-76.560,-9
mobilenetv2_100,2.240,97.760,19.707,80.293,3.50,224,0.875,bicubic,-87.220,-77.493,-1
vgg13_bn,2.227,97.773,20.480,79.520,133.05,224,0.875,bilinear,-86.613,-76.500,+4
vgg19,2.213,97.787,20.920,79.080,143.67,224,0.875,bilinear,-86.907,-75.980,-1
tf_mobilenetv3_small_100,2.053,97.947,15.840,84.160,2.54,224,0.875,bilinear,-83.297,-79.800,+13
regnety_002,2.040,97.960,18.587,81.413,3.16,224,0.875,bicubic,-85.360,-78.083,+6
regnetx_004,1.960,98.040,18.920,81.080,5.16,224,0.875,bicubic,-87.070,-78.170,-3
tf_mobilenetv3_small_075,1.907,98.093,15.040,84.960,2.04,224,0.875,bilinear,-81.563,-79.660,+13
tv_resnet34,1.853,98.147,20.027,79.973,21.80,224,0.875,bilinear,-88.117,-77.363,-12
dla60x_c,1.800,98.200,17.920,82.080,1.32,224,0.875,bilinear,-84.460,-78.180,+6
vgg11_bn,1.800,98.200,18.427,81.573,132.87,224,0.875,bilinear,-85.760,-78.373,0
vgg13,1.747,98.253,18.120,81.880,133.05,224,0.875,bilinear,-85.313,-78.120,+2
dla46x_c,1.640,98.360,16.360,83.640,1.07,224,0.875,bilinear,-82.790,-78.980,+6
tf_mobilenetv3_large_minimal_100,1.613,98.387,17.213,82.787,3.92,224,0.875,bilinear,-87.327,-79.597,-9
hrnet_w18_small,1.573,98.427,18.133,81.867,13.19,224,0.875,bilinear,-87.237,-78.857,-7
gluon_resnet18_v1b,1.533,98.467,16.773,83.227,11.69,224,0.875,bicubic,-86.747,-79.867,-6
vgg11,1.507,98.493,16.213,83.787,132.86,224,0.875,bilinear,-85.053,-80.007,-2
dla46_c,1.453,98.547,15.280,84.720,1.30,224,0.875,bilinear,-82.107,-79.610,+2
regnetx_002,1.320,98.680,15.267,84.733,2.68,224,0.875,bicubic,-84.830,-80.753,-2
tf_mobilenetv3_small_minimal_100,1.040,98.960,11.640,88.360,2.04,224,0.875,bilinear,-80.510,-82.070,+2
resnet18,1.000,99.000,16.253,83.747,11.69,224,0.875,bilinear,-86.400,-80.027,-8
tv_resnet50,0.040,99.960,14.960,85.040,25.56,224,0.875,bilinear,-91.870,-83.100,-60

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 84.707 84.733 15.293 15.267 96.040 96.107 3.960 3.893 480.31 800 0.960 bicubic -12.063 -13.797 -3.410 -3.713 -2 0
3 tf_efficientnet_l2_ns_475 83.360 83.520 16.640 16.480 95.480 95.453 4.520 4.547 480.31 475 0.936 bicubic -13.210 -15.010 -3.920 -4.387 -2 0
4 tf_efficientnet_b7_ns 66.880 67.093 33.120 32.907 88.507 88.640 11.493 11.360 66.35 600 0.949 bicubic -31.660 -30.827 -11.313 -11.080 -2 0
5 tf_efficientnet_b6_ns 61.640 62.293 38.360 37.707 84.787 85.160 15.213 14.840 43.04 528 0.942 bicubic -36.240 -35.337 -14.933 -14.430 -1 +1
6 ig_resnext101_32x48d dm_nfnet_f6 61.040 62.253 38.960 37.747 83.253 84.653 16.747 15.347 828.41 438.36 224 576 0.875 0.956 bilinear bicubic -37.450 -35.487 -16.577 -14.927 -3 -1
7 tf_efficientnet_b5_ns dm_nfnet_f5 59.787 61.653 40.213 38.347 84.213 84.027 15.787 15.973 30.39 377.21 456 544 0.934 0.954 bicubic -37.853 -35.927 -15.487 -15.523 -2 +1
8 resnetv2_152x4_bitm ig_resnext101_32x48d 59.560 60.853 40.440 39.147 83.147 83.240 16.853 16.760 936.53 828.41 480 224 1.000 0.875 bilinear -38.070 -36.727 -16.433 -16.450 -2 +1
9 ig_resnext101_32x32d resnetv2_152x4_bitm 57.933 60.640 42.067 39.360 80.760 83.533 19.240 16.467 468.53 936.53 224 480 0.875 1.000 bilinear -39.557 -36.830 -18.870 -16.067 -2 +2
10 vit_base_resnet50_384 dm_nfnet_f4 54.333 60.600 45.667 39.400 80.827 83.453 19.173 16.547 98.95 316.07 384 512 1.000 0.951 bicubic -42.867 -36.980 -18.713 -16.077 +1 -3
11 resnetv2_152x2_bitm tf_efficientnet_b5_ns 53.773 60.280 46.227 39.720 81.840 84.533 18.160 15.467 236.34 30.39 480 456 1.000 0.934 bilinear bicubic -43.417 -37.220 -17.730 -15.117 +1 -1
12 vit_large_patch16_384 dm_nfnet_f3 53.053 58.213 46.947 41.787 79.853 82.373 20.147 17.627 304.72 254.92 384 416 1.000 0.940 bicubic -44.127 -39.187 -19.707 -17.217 +1 0
13 ig_resnext101_32x16d ig_resnext101_32x32d 53.040 57.960 46.960 42.040 76.853 80.920 23.147 19.080 194.03 468.53 224 0.875 bilinear -43.970 -39.360 -22.667 -18.740 +6 0
14 resnetv2_101x3_bitm resnetv2_152x2_bitm 52.307 54.867 47.693 45.133 80.227 82.800 19.773 17.200 387.93 236.34 480 1.000 bilinear -44.803 -42.293 -19.433 -16.780 +2 +4
15 swsl_resnext101_32x8d vit_base_resnet50_384 51.160 54.627 48.840 45.373 78.213 81.307 21.787 18.693 88.79 98.95 224 384 0.875 1.000 bilinear bicubic -46.050 -42.563 -21.287 -18.253 -5 +2
16 tf_efficientnet_b4_ns resnetv2_101x3_bitm 50.907 53.813 49.093 46.187 79.040 81.107 20.960 18.893 19.34 387.93 380 480 0.922 1.000 bicubic bilinear -46.173 -43.227 -20.580 -18.413 +2 +7
17 vit_base_patch16_384 vit_large_patch16_384 50.027 53.760 49.973 46.240 77.600 80.347 22.400 19.653 86.86 304.72 384 1.000 bicubic -46.713 -43.370 -21.740 -19.293 +6 +3
18 tf_efficientnet_b8 ig_resnext101_32x16d 47.987 53.520 52.013 46.480 76.467 77.347 23.533 22.653 87.41 194.03 672 224 0.954 0.875 bicubic bilinear -49.493 -43.300 -23.143 -22.263 -10 +11
19 resnest269e swsl_resnext101_32x8d 47.653 51.373 52.347 48.627 74.013 78.347 25.987 21.653 110.93 88.79 416 224 0.928 0.875 bicubic bilinear -48.867 -45.827 -25.337 -21.193 +10 -3
20 resnetv2_50x3_bitm tf_efficientnet_b4_ns 46.533 51.067 53.467 48.933 76.760 79.360 23.240 20.640 217.32 19.34 480 380 1.000 0.922 bilinear bicubic -50.397 -45.893 -22.820 -20.240 0 +5
21 tf_efficientnet_b8_ap dm_nfnet_f2 46.453 50.680 53.547 49.320 76.160 78.000 23.840 22.000 87.41 193.78 672 352 0.954 0.920 bicubic -50.677 -46.210 -23.430 -21.450 -7 +7
22 swsl_resnext101_32x16d vit_base_patch16_384 46.027 50.533 53.973 49.467 72.067 78.240 27.933 21.760 194.03 86.86 224 384 0.875 1.000 bilinear bicubic -50.593 -46.207 -27.283 -21.240 +5 +10
23 tf_efficientnet_b7_ap vit_deit_base_distilled_patch16_384 45.267 49.280 54.733 50.720 74.027 79.240 25.973 20.760 66.35 87.63 600 384 0.949 1.000 bicubic -52.093 -47.680 -25.653 -20.250 -14 +3
24 ig_resnext101_32x8d tf_efficientnet_b8 45.227 48.853 54.773 51.147 70.853 77.213 29.147 22.787 88.79 87.41 224 672 0.875 0.954 bilinear bicubic -51.083 -48.377 -28.577 -22.287 +10 -10
25 resnest200e resnest269e 43.867 47.987 56.133 52.013 73.293 74.480 26.707 25.520 70.20 110.93 320 416 0.909 0.928 bicubic -52.803 -48.563 -26.077 -24.870 +1 +13
26 tresnet_xl_448 resnetv2_50x3_bitm 43.187 47.880 56.813 52.120 72.133 77.573 27.867 22.427 78.44 217.32 448 480 0.875 1.000 bilinear -52.783 -48.890 -26.987 -21.857 +14 +5
27 tf_efficientnet_b7 tf_efficientnet_b8_ap 42.213 46.880 57.787 53.120 72.547 76.560 27.453 23.440 66.35 87.41 600 672 0.949 0.954 bicubic -54.867 -50.220 -26.963 -23.100 -10 -5
28 swsl_resnext101_32x4d dm_nfnet_f1 41.627 46.707 58.373 53.293 71.880 74.840 28.120 25.160 44.18 132.63 224 320 0.875 0.910 bilinear bicubic -54.783 -50.223 -27.590 -24.540 +2 -1
29 tf_efficientnet_b6_ap swsl_resnext101_32x16d 40.320 46.147 59.680 53.853 71.387 72.013 28.613 27.987 43.04 194.03 528 224 0.942 0.875 bicubic bilinear -56.800 -50.463 -28.253 -27.507 -14 +7
30 tresnet_l_448 ecaresnet269d 40.133 45.920 59.867 54.080 69.707 75.253 30.293 24.747 55.99 102.09 448 352 0.875 1.000 bilinear bicubic -55.727 -51.220 -29.413 -24.207 +15 -11
31 resnetv2_101x1_bitm tf_efficientnet_b7_ap 38.747 45.347 61.253 54.653 71.000 74.187 29.000 25.813 44.54 66.35 480 600 1.000 0.949 bilinear bicubic -57.323 -51.863 -28.300 -25.363 +7 -16
32 resnet200d_320 ig_resnext101_32x8d 37.813 45.173 62.187 54.827 68.200 71.240 31.800 28.760 64.69 88.79 320 224 1.000 0.875 bicubic bilinear -58.967 -51.097 -31.220 -28.170 -10 +12
33 seresnet152d_320 resnest200e 37.453 44.107 62.547 55.893 69.053 73.693 30.947 26.307 66.84 70.20 320 1.000 0.909 bicubic -59.377 -52.443 -30.537 -25.627 +21 +4
34 tf_efficientnet_b3_ns tresnet_xl_448 35.480 43.533 64.520 56.467 67.720 72.427 32.280 27.573 12.23 78.44 300 448 0.904 0.875 bicubic bilinear -60.890 -52.397 -31.630 -26.733 -2 +17
35 vit_large_patch16_224 tf_efficientnet_b7 35.240 43.013 64.760 56.987 64.320 73.200 35.680 26.800 304.33 66.35 224 600 0.900 0.949 bicubic -60.700 -53.997 -34.920 -26.320 +7 -11
36 tf_efficientnet_b6 swsl_resnext101_32x4d 34.947 41.347 65.053 58.653 67.293 71.480 32.707 28.520 43.04 44.18 528 224 0.942 0.875 bicubic bilinear -61.743 -55.053 -32.167 -27.970 -10 +3
37 tf_efficientnet_b5_ap tf_efficientnet_b6_ap 34.333 40.840 65.667 59.160 67.053 71.653 32.947 28.347 30.39 43.04 456 528 0.934 0.942 bicubic -62.377 -56.270 -32.457 -27.957 -12 -16
38 resnet152d_320 vit_deit_base_patch16_384 33.720 40.187 66.280 59.813 65.467 70.787 34.533 29.213 60.21 86.86 320 384 1.000 bicubic -62.630 -55.983 -33.923 -28.353 -5 +7
39 tresnet_m_448 tresnet_l_448 33.627 40.160 66.373 59.840 64.293 69.987 35.707 30.013 31.39 55.99 448 0.875 bilinear -61.363 -55.690 -34.687 -29.153 +32 +16
40 vit_base_patch32_384 resnetv2_101x1_bitm 33.160 39.360 66.840 60.640 64.680 71.480 35.320 28.520 88.30 44.54 384 480 1.000 bicubic bilinear -62.650 -56.730 -34.470 -27.830 +9
41 swsl_resnext50_32x4d vit_large_patch32_384 33.027 38.867 66.973 61.133 65.173 68.813 34.827 31.187 25.03 306.63 224 384 0.875 1.000 bilinear bicubic -62.853 -56.943 -34.077 -30.337 +4 +16
42 ssl_resnext101_32x16d resnet200d 32.373 38.267 67.627 61.733 63.693 68.573 36.307 31.427 194.03 64.69 224 320 0.875 1.000 bilinear bicubic -63.437 -58.453 -35.487 -30.767 +6 -9
43 seresnet152d 31.600 37.587 68.400 62.413 63.373 69.573 36.627 30.427 66.84 256 320 0.940 1.000 bicubic -65.000 -59.223 -36.147 -29.877 +27 -13
44 resnest101e tf_efficientnet_b3_ns 31.600 35.653 68.400 64.347 64.053 67.853 35.947 32.147 48.28 12.23 256 300 0.875 0.904 bilinear bicubic -64.250 -60.727 -35.157 -31.487 +4 -4
45 vit_base_patch16_224 vit_large_patch16_224 31.573 35.600 68.427 64.400 61.213 64.333 38.787 35.667 86.57 304.33 224 0.900 bicubic -63.767 -60.340 -37.787 -34.887 +16 +5
46 tf_efficientnet_b5 tf_efficientnet_b6 31.107 35.253 68.893 64.747 64.507 67.773 35.493 32.227 30.39 43.04 456 528 0.934 0.942 bicubic -65.233 -61.437 -34.803 -31.597 -11 -12
47 resnet200d tf_efficientnet_b5_ap 30.053 34.800 69.947 65.200 61.160 67.467 38.840 32.533 64.69 30.39 256 456 0.940 0.934 bicubic -66.237 -61.870 -38.090 -32.003 -9 -12
48 swsl_resnet50 resnet152d 29.787 34.320 70.213 65.680 63.800 65.960 36.200 34.040 25.56 60.21 224 320 0.875 1.000 bilinear bicubic -65.623 -62.030 -35.480 -33.360 +11 -6
49 ssl_resnext101_32x8d tresnet_m_448 28.853 34.000 71.147 66.000 60.627 64.507 39.373 35.493 88.79 31.39 224 448 0.875 bilinear -66.617 -60.980 -38.483 -34.483 +7 +37
50 resnet101d_320 vit_base_patch32_384 28.747 33.640 71.253 66.360 62.013 65.173 37.987 34.827 44.57 88.30 320 384 1.000 bicubic -67.543 -62.180 -37.217 -33.977 -13 +6
51 resnetv2_50x1_bitm swsl_resnext50_32x4d 27.453 33.467 72.547 66.533 63.133 65.227 36.867 34.773 25.55 25.03 480 224 1.000 0.875 bilinear -67.587 -62.433 -36.027 -34.023 +18 +2
52 resnet152d ssl_resnext101_32x16d 25.947 32.320 74.053 67.680 58.573 63.720 41.427 36.280 60.21 194.03 256 224 0.940 0.875 bicubic bilinear -70.043 -63.320 -40.687 -35.410 -11 +10
53 tf_efficientnet_b4 vit_base_patch16_224 25.867 32.187 74.133 67.813 59.880 61.627 40.120 38.373 19.34 86.57 380 224 0.922 0.900 bicubic -70.023 -63.173 -39.290 -37.373 -8 +18
54 tf_efficientnet_b4_ap tf_efficientnet_b5 25.827 31.867 74.173 68.133 59.613 65.293 40.387 34.707 19.34 30.39 380 456 0.922 0.934 bicubic -70.343 -64.483 -39.667 -34.077 -15 -13
55 ecaresnet101d resnest101e 25.773 31.307 74.227 68.693 58.720 64.453 41.280 35.547 44.57 48.28 224 256 0.875 bicubic bilinear -69.767 -64.603 -40.410 -34.727 0 -3
56 tf_efficientnet_b2_ns dm_nfnet_f0 24.120 31.133 75.880 68.867 57.480 63.373 42.520 36.627 9.11 71.49 260 256 0.890 0.900 bicubic -71.620 -65.007 -41.640 -35.867 -5 -9
57 ssl_resnext101_32x4d swsl_resnet50 23.760 29.973 76.240 70.027 57.160 64.120 42.840 35.880 44.18 25.56 224 0.875 bilinear -71.670 -65.577 -41.970 -35.140 +1 +6
58 efficientnet_b3 vit_deit_base_distilled_patch16_224 23.587 29.453 76.413 70.547 56.440 64.307 43.560 35.693 12.23 87.34 300 224 0.904 0.900 bicubic -71.993 -66.657 -42.660 -34.873 -4 -10
59 efficientnet_b3a ssl_resnext101_32x8d 23.120 29.240 76.880 70.760 55.813 61.093 44.187 38.907 12.23 88.79 320 224 1.000 0.875 bicubic bilinear -72.600 -66.200 -43.227 -38.047 -7 +9
60 nasnetalarge resnet101d 23.120 29.053 76.880 70.947 54.560 62.107 45.440 37.893 88.75 44.57 331 320 0.911 1.000 bicubic -72.560 -67.247 -44.370 -37.133 -7 -17
61 resnet101d resnetv2_50x1_bitm 22.240 27.440 77.760 72.560 54.667 63.533 45.333 36.467 44.57 25.55 256 480 0.940 1.000 bicubic bilinear -73.690 -67.590 -44.403 -35.637 -17 +21
62 regnety_032 vit_deit_base_patch16_224 21.787 27.333 78.213 72.667 54.880 58.840 45.120 41.160 19.44 86.57 224 0.875 0.900 bicubic -73.573 -68.107 -44.220 -39.980 -2 +7
63 resnest50d_4s2x40d tf_efficientnet_b4_ap 20.080 26.333 79.920 73.667 52.907 60.067 47.093 39.933 30.42 19.34 224 380 0.875 0.922 bicubic -74.870 -69.817 -45.913 -39.183 +10 -17
64 ssl_resnext50_32x4d tf_efficientnet_b4 19.680 26.213 80.320 73.787 53.253 60.267 46.747 39.733 25.03 19.34 224 380 0.875 0.922 bilinear bicubic -75.180 -69.657 -45.617 -38.873 +14 -10
65 tresnet_xl ecaresnet50t 19.320 26.173 80.680 73.827 52.867 59.907 47.133 40.093 78.44 25.57 224 320 0.875 0.950 bilinear bicubic -76.120 -69.347 -46.193 -39.203 -8 -1
66 gluon_senet154 ecaresnet101d 19.067 26.053 80.933 73.947 47.187 58.893 52.813 41.107 115.09 44.57 224 0.875 bicubic -75.863 -69.437 -51.583 -40.197 +9 0
67 gluon_seresnext101_64x4d tf_efficientnet_b2_ns 18.960 24.147 81.040 75.853 48.960 57.000 51.040 43.000 88.23 9.11 224 260 0.875 0.890 bicubic -75.990 -71.603 -50.110 -42.150 +7 -9
68 legacy_senet154 ssl_resnext101_32x4d 18.920 24.053 81.080 75.947 47.600 57.387 52.400 42.613 115.09 44.18 224 0.875 bilinear -76.140 -71.457 -51.230 -41.673 -1 -3
69 tf_efficientnet_b1_ns pnasnet5large 18.907 23.547 81.093 76.453 51.667 53.427 48.333 46.573 7.79 86.06 240 331 0.882 0.911 bicubic -76.263 -72.143 -47.443 -45.523 -5 -9
70 rexnet_200 nasnetalarge 18.880 23.480 81.120 76.520 52.587 55.053 47.413 44.947 16.37 88.75 224 331 0.875 0.911 bicubic -76.050 -72.210 -46.413 -43.847 +6 -9
71 seresnext50_32x4d efficientnet_b3 18.227 23.373 81.773 76.627 50.907 56.467 49.093 43.533 27.56 12.23 224 300 0.875 0.904 bicubic -76.813 -72.047 -47.983 -42.633 -1
72 ecaresnet50d efficientnet_b3a 17.973 23.200 82.027 76.800 51.480 55.960 48.520 44.040 25.58 12.23 224 320 0.875 1.000 bicubic -76.647 -72.520 -47.290 -43.090 +18 -13
73 resnest50d_1s4x24d regnety_032 17.653 21.747 82.347 78.253 49.613 55.133 50.387 44.867 25.68 19.44 224 0.875 bicubic -77.107 -73.433 -49.367 -44.007 +9 +1
74 tf_efficientnet_lite4 vit_deit_small_distilled_patch16_224 17.627 20.773 82.373 79.227 50.253 55.173 49.747 44.827 13.01 22.44 380 224 0.920 0.900 bilinear bicubic -77.233 -73.947 -48.767 -43.857 +5 +19
75 gluon_seresnext101_32x4d resnest50d_4s2x40d 17.360 20.507 82.640 79.493 46.480 52.800 53.520 47.200 48.96 30.42 224 0.875 bicubic -77.560 -74.533 -52.330 -46.190 +2 +6
76 resnest50d ssl_resnext50_32x4d 17.280 20.093 82.720 79.907 50.533 53.573 49.467 46.427 27.48 25.03 224 0.875 bilinear -77.540 -74.837 -48.347 -45.277 +4 +14
77 tf_efficientnet_b3_ap tresnet_xl 17.000 19.613 83.000 80.387 49.387 52.813 50.613 47.187 12.23 78.44 300 224 0.904 0.875 bicubic bilinear -78.320 -75.857 -49.513 -46.327 -15 -10
78 gluon_resnext101_64x4d rexnet_200 16.693 19.333 83.307 80.667 43.960 52.387 56.040 47.613 83.46 16.37 224 0.875 bicubic -77.947 -75.667 -54.700 -46.583 +9 +6
79 tf_efficientnet_b3 gluon_senet154 16.693 19.293 83.307 80.707 49.107 47.560 50.893 52.440 12.23 115.09 300 224 0.904 0.875 bicubic -78.317 -75.657 -49.803 -51.180 -8 +9
80 xception71 repvgg_b3 16.600 19.093 83.400 80.907 45.240 49.787 54.760 50.213 42.34 123.09 299 224 0.903 0.875 bicubic bilinear -77.690 -75.457 -53.400 -48.963 +27 +29
81 gluon_resnet152_v1s legacy_senet154 16.467 19.080 83.533 80.920 44.200 48.280 55.800 51.720 60.32 115.09 224 0.875 bicubic bilinear -78.583 -75.890 -54.730 -50.590 -13 +6
82 tresnet_l vit_deit_small_patch16_224 16.413 18.933 83.587 81.067 49.573 51.080 50.427 48.920 55.99 22.05 224 0.875 0.900 bilinear bicubic -78.877 -75.417 -49.437 -47.590 -19 +41
83 gluon_xception65 gluon_seresnext101_64x4d 16.213 18.893 83.787 81.107 45.920 49.107 54.080 50.893 39.92 88.23 299 224 0.903 0.875 bicubic -78.047 -75.987 -52.650 -49.733 +26 +8
84 wide_resnet50_2 tf_efficientnet_b1_ns 16.200 18.667 83.800 81.333 48.080 51.613 51.920 48.387 68.88 7.79 224 240 0.875 0.882 bicubic -78.870 -76.513 -50.890 -47.467 -18 -9
85 gluon_resnet152_v1d ecaresnet50d 16.160 18.653 83.840 81.347 44.107 51.893 55.893 48.107 60.21 25.58 224 0.875 bicubic -78.590 -75.957 -54.633 -46.947 -2 +19
86 xception65 seresnext50_32x4d 15.893 18.400 84.107 81.600 43.453 50.987 56.547 49.013 39.92 27.56 299 224 0.903 0.875 bicubic -77.877 -76.680 -54.907 -47.923 +56 -7
87 ssl_resnet50 tf_efficientnet_lite4 15.813 17.973 84.187 82.027 49.280 51.240 50.720 48.760 25.56 13.01 224 380 0.875 0.920 bilinear -78.677 -77.007 -49.640 -47.750 +9 -2
88 ecaresnet101d_pruned resnest50d_1s4x24d 15.480 17.640 84.520 82.360 47.947 49.813 52.053 50.187 24.88 25.68 224 0.875 bicubic -79.590 -77.020 -51.033 -49.187 -23 +10
89 regnety_320 tf_efficientnet_b3_ap 15.453 17.187 84.547 82.813 44.560 49.867 55.440 50.133 145.05 12.23 224 300 0.875 0.904 bicubic -79.097 -78.123 -54.280 -49.073 +5 -17
90 ecaresnetlight resnest50d 15.173 17.173 84.827 82.827 45.680 50.600 54.320 49.400 30.16 27.48 224 0.875 bicubic bilinear -79.607 -77.497 -53.120 -48.190 -9 +6
91 skresnext50_32x4d gluon_resnext101_64x4d 15.120 17.133 84.880 82.867 44.453 44.400 55.547 55.600 27.48 83.46 224 0.875 bicubic -79.140 -77.417 -54.017 -54.240 +19 +17
92 rexnet_150 gluon_seresnext101_32x4d 14.360 17.133 85.640 82.867 46.587 46.773 53.413 53.227 9.73 48.96 224 0.875 bicubic -80.110 -77.807 -52.203 -51.957 +8 -3
93 efficientnet_b2a inception_v4 14.307 17.133 85.693 82.867 45.787 45.853 54.213 54.147 9.11 42.68 288 299 1.000 0.875 bicubic -80.323 -77.227 -52.923 -52.707 -5 +29
94 seresnet50 xception71 14.027 17.027 85.973 82.973 45.347 45.427 54.653 54.573 28.09 42.34 224 299 0.875 0.903 bicubic -80.533 -77.253 -53.403 -53.193 -1 +36
95 legacy_seresnext101_32x4d tf_efficientnet_b3 13.893 16.907 86.107 83.093 42.640 49.707 57.360 50.293 48.96 12.23 224 300 0.875 0.904 bilinear bicubic -80.467 -78.113 -56.000 -49.193 +8 -12
96 gluon_resnext101_32x4d inception_resnet_v2 13.680 16.720 86.320 83.280 41.467 44.893 58.533 55.107 44.18 55.84 224 299 0.875 0.897 bicubic -80.840 -77.770 -57.163 -54.057 -1 +16
97 gluon_seresnext50_32x4d tresnet_l 13.453 16.680 86.547 83.320 43.507 50.040 56.493 49.960 27.56 55.99 224 0.875 bicubic bilinear -80.897 -78.500 -55.113 -48.970 +7 -21
98 efficientnet_b2 wide_resnet50_2 13.253 16.653 86.747 83.347 44.493 48.787 55.507 51.213 9.11 68.88 260 224 0.875 bicubic -81.457 -78.387 -54.177 -50.303 -14 -18
99 regnetx_320 gluon_resnet152_v1d 13.160 16.600 86.840 83.400 40.253 44.520 59.747 55.480 107.81 60.21 224 0.875 bicubic -81.280 -78.060 -58.477 -54.260 +2 -2
100 ese_vovnet39b gluon_resnet152_v1s 13.147 16.587 86.853 83.413 43.680 44.693 56.320 55.307 24.57 60.32 224 0.875 bicubic -80.943 -78.523 -54.980 -54.237 +25 -23
101 mixnet_xl gernet_l 13.000 16.360 87.000 83.640 43.133 47.333 56.867 52.667 11.90 31.08 224 256 0.875 bicubic bilinear -81.190 -78.830 -55.207 -51.537 +14 -28
102 efficientnet_b3_pruned gluon_xception65 12.987 16.333 87.013 83.667 44.813 46.147 55.187 53.853 9.86 39.92 300 299 0.904 0.903 bicubic -81.633 -77.917 -54.077 -52.443 -13 +30
103 gluon_resnet101_v1d ens_adv_inception_resnet_v2 12.760 16.133 87.240 83.867 41.267 43.627 58.733 56.373 44.57 55.84 224 299 0.875 0.897 bicubic -81.440 -78.027 -57.293 -54.893 +11 +39
104 gluon_inception_v3 xception65 12.507 16.040 87.493 83.960 40.200 43.787 59.800 56.213 23.83 39.92 299 0.875 0.903 bicubic -80.953 -77.720 -58.360 -54.563 +58 +63
105 tresnet_m repvgg_b3g4 12.373 15.960 87.627 84.040 41.547 48.013 58.453 51.987 31.39 83.83 224 0.875 bilinear -82.237 -78.530 -57.003 -50.757 -13 +6
106 regnety_120 ssl_resnet50 12.240 15.867 87.760 84.133 41.893 49.360 58.107 50.640 51.82 25.56 224 0.875 bicubic bilinear -82.240 -78.563 -56.917 -49.510 -7 +11
107 regnety_160 ecaresnet101d_pruned 12.173 15.507 87.827 84.493 41.107 47.813 58.893 52.187 83.59 24.88 224 0.875 bicubic -82.177 -79.573 -57.743 -51.147 -2 -29
108 gluon_resnet101_v1s ecaresnet26t 12.013 15.453 87.987 84.547 40.773 47.853 59.227 52.147 44.67 16.01 224 320 0.875 0.950 bicubic -82.687 -78.867 -58.047 -50.857 -23 +19
109 efficientnet_em regnety_320 11.947 15.440 88.053 84.560 43.667 44.800 56.333 55.200 6.90 145.05 240 224 0.882 0.875 bicubic -81.903 -79.170 -55.143 -54.070 +28 -6
110 vit_small_patch16_224 skresnext50_32x4d 11.907 15.107 88.093 84.893 39.920 44.747 60.080 55.253 48.75 27.48 224 0.900 0.875 bicubic -80.863 -79.093 -58.010 -53.713 +84 +26
111 hrnet_w64 ecaresnetlight 11.880 15.107 88.120 84.893 40.560 45.827 59.440 54.173 128.06 30.16 224 0.875 bilinear bicubic -82.110 -79.583 -58.050 -52.973 +17 -16
112 cspdarknet53 rexnet_150 11.680 14.800 88.320 85.200 42.893 46.693 57.107 53.307 27.64 9.73 256 224 0.887 0.875 bilinear bicubic -82.990 -79.600 -55.917 -51.917 -26 +9
113 resnet50d efficientnet_b2a 11.640 14.400 88.360 85.600 42.120 46.107 57.880 53.893 25.58 9.11 224 288 0.875 1.000 bicubic -82.630 -80.220 -56.600 -52.673 -5 -11
114 xception41 seresnet50 11.560 14.360 88.440 85.640 38.760 45.613 61.240 54.387 26.97 28.09 299 224 0.903 0.875 bicubic -81.850 -80.140 -59.660 -53.097 +51 -4
115 dla102x2 legacy_seresnext101_32x4d 11.387 14.307 88.613 85.693 41.267 43.200 58.733 56.800 41.28 48.96 224 0.875 bilinear -82.563 -80.123 -57.223 -55.380 +14 0
116 dpn92 gluon_resnext101_32x4d 11.280 14.080 88.720 85.920 39.520 41.893 60.480 58.107 37.67 44.18 224 0.875 bicubic -82.940 -80.550 -59.210 -56.737 -4 -16
117 efficientnet_b2_pruned gernet_m 11.253 13.827 88.747 86.173 41.773 46.067 58.227 53.933 8.31 21.14 260 224 0.890 0.875 bicubic bilinear -82.887 -80.843 -56.747 -52.773 +4 -22
118 regnety_080 efficientnet_b2 11.253 13.627 88.747 86.373 40.613 44.840 59.387 55.160 39.18 9.11 224 260 0.875 bicubic -82.927 -80.933 -58.067 -53.880 0 -11
119 tf_efficientnet_b0_ns gluon_seresnext50_32x4d 11.080 13.507 88.920 86.493 39.880 43.773 60.120 56.227 5.29 27.56 224 0.875 bicubic -82.540 -80.803 -58.760 -54.817 +33 +9
120 ecaresnet50d_pruned ese_vovnet39b 11.000 13.360 89.000 86.640 42.000 43.760 58.000 56.240 19.94 24.57 224 0.875 bicubic -83.210 -80.800 -56.730 -54.780 -7 +24
121 hrnet_w48 repvgg_b2g4 10.853 13.360 89.147 86.640 39.973 43.667 60.027 56.333 77.47 61.76 224 0.875 bilinear -83.087 -80.560 -58.637 -54.933 +10 +36
122 tf_inception_v3 mixnet_xl 10.840 13.253 89.160 86.747 36.680 43.440 63.320 56.560 23.83 11.90 299 224 0.875 bicubic -82.490 -80.937 -61.360 -54.910 +47 +16
123 dpn107 efficientnet_b3_pruned 10.827 13.213 89.173 86.787 38.427 45.347 61.573 54.653 86.92 9.86 224 300 0.875 0.904 bicubic -83.483 -81.417 -60.053 -53.423 -18 -24
124 adv_inception_v3 nf_regnet_b1 10.827 13.107 89.173 86.893 36.467 44.360 63.533 55.640 23.83 10.22 299 288 0.875 0.900 bicubic -82.063 -81.033 -61.663 -54.240 +65 +21
125 tf_efficientnet_el gluon_resnet101_v1d 10.800 13.093 89.200 86.907 41.093 41.573 58.907 58.427 10.59 44.57 300 224 0.904 0.875 bicubic -83.810 -81.177 -57.657 -57.067 -34 +6
126 gluon_resnet152_v1c regnetx_320 10.760 12.907 89.240 87.093 36.840 40.547 63.160 59.453 60.21 107.81 224 0.875 bicubic -83.400 -81.433 -61.800 -58.263 -7 -2
127 resnext50_32x4d gluon_inception_v3 10.627 12.627 89.373 87.373 40.187 40.387 59.813 59.613 25.03 23.83 224 299 0.875 bicubic -83.483 -80.833 -58.163 -58.213 -3 +57
128 dpn131 regnety_160 10.600 12.600 89.400 87.400 36.973 41.400 63.027 58.600 79.25 83.59 224 0.875 bicubic -83.400 -81.810 -61.747 -57.480 -1 -9
129 resnext50d_32x4d regnety_120 10.453 12.440 89.547 87.560 39.373 42.147 60.627 57.853 25.05 51.82 224 0.875 bicubic -83.737 -81.990 -59.207 -56.723 -13
130 tf_efficientnet_b2_ap efficientnet_em 10.400 12.387 89.600 87.613 39.747 43.907 60.253 56.093 9.11 6.90 260 240 0.890 0.882 bicubic -84.090 -81.513 -58.873 -54.633 -33 +29
131 rexnet_130 nf_resnet50 10.347 12.360 89.653 87.640 41.387 46.747 58.613 53.253 7.56 25.56 224 288 0.875 0.940 bicubic -83.553 -82.260 -57.013 -51.983 +2 -30
132 hrnet_w44 tresnet_m 10.333 12.293 89.667 87.707 39.200 42.173 60.800 57.827 67.06 31.39 224 0.875 bilinear -83.247 -82.307 -59.500 -56.387 +21 -27
133 dpn98 vit_small_patch16_224 10.107 12.093 89.893 87.907 36.453 40.213 63.547 59.787 61.57 48.75 224 0.875 0.900 bicubic -84.023 -80.637 -62.117 -57.707 -11 +89
134 cspresnext50 hrnet_w64 10.093 11.987 89.907 88.013 40.253 40.973 59.747 59.027 20.57 128.06 224 0.875 bilinear -84.387 -82.043 -58.427 -57.517 -36 +15
135 regnety_064 cspdarknet53 10.000 11.947 90.000 88.053 38.920 43.147 61.080 56.853 30.58 27.64 224 256 0.875 0.887 bicubic bilinear -84.150 -82.643 -59.810 -55.633 -15 -29
136 regnetx_160 gluon_resnet101_v1s 9.973 11.920 90.027 88.080 37.733 40.493 62.267 59.507 54.28 44.67 224 0.875 bicubic -84.147 -82.830 -61.007 -58.397 -13 -44
137 resnext101_32x8d resnet50d 9.960 11.760 90.040 88.240 37.493 42.560 62.507 57.440 88.79 25.58 224 0.875 bilinear bicubic -83.840 -82.580 -61.087 -56.170 +3 -12
138 legacy_seresnext50_32x4d xception41 9.880 11.653 90.120 88.347 38.973 39.107 61.027 60.893 27.56 26.97 224 299 0.875 0.903 bilinear bicubic -83.840 -81.807 -59.607 -59.303 +9 +47
139 xception dla102x2 9.880 11.547 90.120 88.453 37.920 41.080 62.080 58.920 22.86 41.28 299 224 0.897 0.875 bicubic bilinear -83.590 -82.393 -60.610 -57.480 +22 +14
140 inception_v3 regnety_080 9.827 11.453 90.173 88.547 35.040 40.880 64.960 59.120 23.83 39.18 299 224 0.875 bicubic -82.893 -82.707 -62.920 -57.750 +58 0
141 tf_efficientnet_b2 efficientnet_b2_pruned 9.653 11.360 90.347 88.640 38.640 41.867 61.360 58.133 9.11 8.31 260 0.890 bicubic -84.717 -82.730 -59.970 -56.653 -39 +7
142 tf_efficientnet_cc_b1_8e dpn92 9.613 11.253 90.387 88.747 36.880 40.293 63.120 59.707 39.72 37.67 240 224 0.882 0.875 bicubic -84.297 -82.957 -61.370 -58.437 -10 -6
143 dpn68b ecaresnet50d_pruned 9.587 11.253 90.413 88.747 37.720 42.160 62.280 57.840 12.61 19.94 224 0.875 bicubic -84.093 -83.027 -60.800 -56.630 +6 -14
144 gluon_resnet152_v1b tf_efficientnet_el 9.587 11.200 90.413 88.800 35.693 42.200 64.307 57.800 60.19 10.59 224 300 0.875 0.904 bicubic -84.503 -83.220 -62.757 -56.550 -18 -26
145 tf_efficientnet_lite3 adv_inception_v3 9.480 11.040 90.520 88.960 38.960 36.840 61.040 63.160 8.20 23.83 300 299 0.904 0.875 bilinear bicubic -84.710 -81.850 -59.680 -61.330 -28 +68
146 res2net101_26w_4s dpn107 9.413 11.027 90.587 88.973 34.440 38.667 65.560 61.333 45.21 86.92 224 0.875 bilinear bicubic -84.317 -83.303 -63.880 -59.863 -1 -20
147 legacy_seresnet152 hrnet_w48 9.240 11.027 90.760 88.973 37.120 40.693 62.880 59.307 66.82 77.47 224 0.875 bilinear -84.180 -82.803 -61.230 -57.937 +17
148 cspresnet50 tf_inception_v3 9.213 10.920 90.787 89.080 39.467 37.027 60.533 62.973 21.62 23.83 256 299 0.887 0.875 bilinear bicubic -84.537 -82.350 -59.163 -61.023 -5 +50
149 efficientnet_b1 tf_efficientnet_b0_ns 9.213 10.880 90.787 89.120 37.227 40.307 62.773 59.693 7.79 5.29 240 224 0.875 bicubic -84.057 -82.640 -60.963 -58.313 +25 +32
150 seresnext26t_32x4d gluon_resnet152_v1c 9.187 10.800 90.813 89.200 37.187 37.067 62.813 62.933 16.82 60.21 224 0.875 bicubic -83.873 -83.380 -60.913 -61.573 +32 -11
151 hrnet_w40 resnext50_32x4d 9.107 10.787 90.893 89.213 36.533 40.667 63.467 59.333 57.56 25.03 224 0.875 bilinear bicubic -84.383 -83.223 -62.057 -57.723 +9 -1
152 regnetx_120 rexnet_130 9.067 10.720 90.933 89.280 36.947 41.560 63.053 58.440 46.11 7.56 224 0.875 bicubic -85.173 -83.120 -61.723 -56.840 -41 +11
153 gluon_resnext50_32x4d dpn131 9.027 10.640 90.973 89.360 36.320 37.440 63.680 62.560 25.03 79.25 224 0.875 bicubic -84.793 -83.240 -62.090 -61.300 -15 +7
154 resnest26d hrnet_w44 9.013 10.547 90.987 89.453 37.560 39.467 62.440 60.533 17.07 67.06 224 0.875 bilinear -84.357 -83.113 -61.080 -59.223 +13 +20
155 regnety_040 tf_efficientnet_b2_ap 8.853 10.493 91.147 89.507 37.000 39.813 63.000 60.187 20.65 9.11 224 260 0.875 0.890 bicubic -85.007 -83.967 -61.640 -58.827 -19 -42
156 rexnet_100 resnext50d_32x4d 8.813 10.480 91.187 89.520 36.240 39.907 63.760 60.093 4.80 25.05 224 0.875 bicubic -84.217 -83.680 -61.950 -58.783 +30 -15
157 seresnext26tn_32x4d legacy_seresnext50_32x4d 8.800 10.347 91.200 89.653 36.600 39.027 63.400 60.973 16.81 27.56 224 0.875 bicubic bilinear -84.010 -83.393 -61.770 -59.483 +33 +12
158 seresnext26d_32x4d regnety_064 8.800 10.227 91.200 89.773 36.427 39.320 63.573 60.680 16.81 30.58 224 0.875 bicubic -83.930 -84.003 -61.723 -59.430 +40 -24
159 mixnet_l dpn98 8.747 10.147 91.253 89.853 36.173 36.587 63.827 63.413 7.33 61.57 224 0.875 bicubic -84.683 -83.953 -62.047 -61.993 +4 -12
160 hrnet_w30 xception 8.533 10.133 91.467 89.867 36.827 38.013 63.173 61.987 37.71 22.86 224 299 0.875 0.897 bilinear bicubic -84.677 -83.247 -61.583 -60.507 +15 +32
161 dla169 gluon_resnet152_v1b 8.373 10.120 91.627 89.880 35.907 35.853 64.093 64.147 53.39 60.19 224 0.875 bilinear bicubic -84.967 -84.040 -62.693 -62.847 +7 -18
162 tf_efficientnet_b1_ap resnext101_32x8d 8.333 10.027 91.667 89.973 35.147 37.720 64.853 62.280 7.79 88.79 240 224 0.882 0.875 bicubic bilinear -85.377 -83.833 -63.213 -60.930 -14 0
163 legacy_seresnet101 regnetx_160 8.267 9.973 91.733 90.027 35.707 38.120 64.293 61.880 49.33 54.28 224 0.875 bilinear bicubic -85.023 -84.247 -62.793 -60.680 +9 -28
164 resnetblur50 cspresnext50 8.200 9.920 91.800 90.080 37.320 40.267 62.680 59.733 25.56 20.57 224 0.875 bicubic bilinear -85.750 -84.520 -61.270 -58.453 -34 -50
165 dla102x inception_v3 8.173 9.920 91.827 90.080 36.827 35.320 63.173 64.680 26.31 23.83 224 299 0.875 bilinear bicubic -85.347 -82.790 -61.533 -62.640 -7 +58
166 hrnet_w32 dpn68b 7.933 9.813 92.067 90.187 37.253 38.213 62.747 61.787 41.23 12.61 224 0.875 bilinear bicubic -85.587 -83.787 -61.247 -60.297 -10 +11
167 gluon_resnet50_v1d res2net101_26w_4s 7.827 9.707 92.173 90.293 34.787 35.027 65.213 64.973 25.58 45.21 224 0.875 bicubic bilinear -85.953 -83.943 -63.613 -63.373 -26 +9
168 gluon_resnet101_v1c tf_efficientnet_b2 7.800 9.667 92.200 90.333 32.947 39.000 67.053 61.000 44.57 9.11 224 260 0.875 0.890 bicubic -85.870 -84.733 -65.463 -59.820 -18 -48
169 dla60_res2next tf_efficientnet_cc_b1_8e 7.747 9.573 92.253 90.427 34.653 36.880 65.347 63.120 17.03 39.72 224 240 0.875 0.882 bilinear bicubic -85.433 -84.387 -63.757 -61.360 +8 -17
170 res2net50_26w_8s legacy_seresnet152 7.747 9.507 92.253 90.493 33.480 37.400 66.520 62.600 48.40 66.82 224 0.875 bilinear -85.793 -83.823 -64.790 -60.980 -15 +24
171 densenetblur121d tf_efficientnet_lite3 7.560 9.373 92.440 90.627 34.560 39.267 65.440 60.733 8.00 8.20 224 300 0.875 0.904 bicubic bilinear -84.360 -84.867 -63.530 -59.363 +53 -38
172 dla60_res2net cspresnet50 7.347 9.213 92.653 90.787 34.400 39.747 65.600 60.253 20.85 21.62 224 256 0.875 0.887 bilinear -85.803 -84.537 -64.020 -58.923 +6 -4
173 regnetx_064 gluon_resnext50_32x4d 7.320 9.173 92.680 90.827 34.360 36.613 65.640 63.387 26.21 25.03 224 0.875 bicubic -86.570 -84.547 -64.270 -61.857 -39 -3
174 wide_resnet101_2 seresnext26d_32x4d 7.307 9.160 92.693 90.840 33.707 37.000 66.293 63.000 126.89 16.81 224 0.875 bilinear bicubic -86.423 -83.520 -64.833 -61.130 -28 +53
175 efficientnet_b1_pruned efficientnet_b1 7.280 9.147 92.720 90.853 34.427 37.360 65.573 62.640 6.33 7.79 240 0.882 0.875 bicubic -85.490 -84.103 -63.613 -60.810 +18 +24
176 efficientnet_b0 hrnet_w40 7.213 9.120 92.787 90.880 33.840 37.147 66.160 62.853 5.29 57.56 224 0.875 bicubic bilinear -85.457 -84.330 -64.240 -61.423 +25 +10
177 gluon_resnet101_v1b seresnext26t_32x4d 7.133 9.040 92.867 90.960 32.707 36.813 67.293 63.187 44.55 16.81 224 0.875 bicubic -86.597 -83.660 -65.693 -61.567 -33 +47
178 tf_efficientnet_cc_b0_8e rexnet_100 7.133 9.027 92.867 90.973 31.667 36.533 68.333 63.467 24.01 4.80 224 0.875 bicubic -85.687 -84.053 -66.513 -61.617 +12 +28
179 tf_efficientnet_b1 regnetx_120 7.120 9.013 92.880 90.987 33.107 37.173 66.893 62.827 7.79 46.11 240 224 0.882 0.875 bicubic -86.400 -85.107 -65.323 -61.567 -22 -33
180 gluon_resnet50_v1s resnest26d 7.080 8.880 92.920 91.120 33.213 37.853 66.787 62.147 25.68 17.07 224 0.875 bicubic bilinear -86.550 -84.560 -65.257 -60.847 -29 +8
181 tf_mixnet_l regnety_040 7.067 8.787 92.933 91.213 31.587 36.707 68.413 63.293 7.33 20.65 224 0.875 bicubic -86.233 -85.143 -66.443 -61.983 -10 -26
182 mixnet_m legacy_seresnet101 6.667 8.733 93.333 91.267 32.040 35.840 67.960 64.160 5.01 49.33 224 0.875 bicubic bilinear -85.773 -84.547 -65.830 -62.630 +29 +15
183 ese_vovnet19b_dw mixnet_l 6.653 8.693 93.347 91.307 33.160 36.333 66.840 63.667 6.54 7.33 224 0.875 bicubic -85.637 -84.747 -64.940 -62.267 +34 +6
184 selecsls60b hrnet_w30 6.627 8.587 93.373 91.413 33.133 37.453 66.867 62.547 32.77 37.71 224 0.875 bicubic bilinear -86.663 -84.543 -65.147 -60.947 -11 +20
185 efficientnet_es tf_efficientnet_b1_ap 6.560 8.520 93.440 91.480 33.693 35.213 66.307 64.787 5.44 7.79 224 240 0.875 0.882 bicubic -86.640 -85.180 -64.717 -63.157 -9 -12
186 res2net50_26w_6s repvgg_b2 6.520 8.440 93.480 91.560 31.493 36.320 68.507 63.680 37.05 89.02 224 0.875 bilinear -86.880 -85.000 -66.787 -61.950 -20 +1
187 legacy_seresnext26_32x4d dla169 6.440 8.360 93.560 91.640 32.893 36.040 67.107 63.960 16.79 53.39 224 0.875 bicubic bilinear -86.190 -85.030 -65.227 -62.510 +16 +4
188 skresnet34 resnetblur50 6.387 8.200 93.613 91.800 31.453 36.920 68.547 63.080 22.28 25.56 224 0.875 bicubic -85.993 -85.780 -66.687 -61.600 +25 -37
189 regnetx_080 dla102x 6.373 8.187 93.627 91.813 32.213 36.907 67.787 63.093 39.57 26.31 224 0.875 bicubic bilinear -87.487 -85.373 -66.307 -61.653 -54 -11
190 resnet34d hrnet_w32 6.347 8.120 93.653 91.880 31.667 37.507 68.333 62.493 21.82 41.23 224 0.875 bicubic bilinear -86.343 -85.350 -66.633 -60.883 +10 -7
191 dla60x res2net50_26w_8s 6.320 8.053 93.680 91.947 33.773 34.093 66.227 65.907 17.35 48.40 224 0.875 bilinear -86.780 -85.597 -64.717 -64.177 -11 -16
192 swsl_resnet18 gluon_resnet101_v1c 6.213 8.000 93.787 92.000 31.373 32.853 68.627 67.147 11.69 44.57 224 0.875 bilinear bicubic -84.467 -85.790 -66.337 -65.547 +58 -27
193 pnasnet5large gluon_resnet50_v1d 6.200 7.947 93.800 92.053 19.053 35.093 80.947 64.907 86.06 25.58 331 224 0.911 0.875 bicubic -4.490 -85.763 -11.997 -63.297 +83 -22
194 legacy_seresnet50 vit_deit_tiny_distilled_patch16_224 6.040 7.853 93.960 92.147 32.440 33.747 67.560 66.253 28.09 5.91 224 0.875 0.900 bilinear bicubic -86.910 -82.817 -65.750 -63.813 -7 +86
195 tf_efficientnet_cc_b0_4e dla60_res2next 5.973 7.827 94.027 92.173 29.520 34.773 70.480 65.227 13.31 17.03 224 0.875 bicubic bilinear -86.637 -85.343 -68.560 -63.657 +10 +7
196 tv_resnet152 densenetblur121d 5.973 7.600 94.027 92.400 31.587 34.173 68.413 65.827 60.19 8.00 224 0.875 bilinear bicubic -87.347 -84.150 -66.803 -63.927 -26 +61
197 dla102 dla60_res2net 5.827 7.573 94.173 92.427 32.440 34.733 67.560 65.267 33.27 20.85 224 0.875 bilinear -87.263 -85.617 -66.110 -63.657 -16 +4
198 regnetx_040 wide_resnet101_2 5.800 7.560 94.200 92.440 31.173 34.493 68.827 65.507 22.12 126.89 224 0.875 bicubic bilinear -87.760 -86.320 -67.377 -64.077 -44 -37
199 resnet50 efficientnet_b1_pruned 5.800 7.480 94.200 92.520 29.067 34.467 70.933 65.533 25.56 6.33 224 240 0.875 0.882 bicubic -88.010 -85.280 -69.313 -63.573 -60 +22
200 selecsls60 regnetx_064 5.720 7.427 94.280 92.573 32.320 34.120 67.680 65.880 30.67 26.21 224 0.875 bicubic -87.330 -86.513 -65.980 -64.550 -17 -46
201 inception_v4 gluon_resnet101_v1b 5.573 7.320 94.427 92.680 16.173 32.627 83.827 67.373 42.68 44.55 299 224 0.875 bicubic -4.997 -86.440 -12.087 -65.843 +77 -35
202 regnety_016 vit_deit_tiny_patch16_224 5.573 7.240 94.427 92.760 30.293 30.707 69.707 69.293 11.20 5.72 224 0.875 0.900 bicubic -87.457 -82.410 -68.067 -66.733 -17 +89
203 res2next50 gluon_resnet50_v1s 5.520 7.147 94.480 92.853 30.587 33.267 69.413 66.733 24.67 25.68 224 0.875 bilinear bicubic -87.310 -86.553 -67.583 -65.203 -14 -31
204 hrnet_w18 tf_efficientnet_cc_b0_8e 5.467 7.133 94.533 92.867 30.787 31.800 69.213 68.200 21.30 24.01 224 0.875 bilinear bicubic -86.843 -85.687 -67.453 -66.460 +11 +12
205 tf_efficientnet_lite2 tf_efficientnet_b1 5.387 7.093 94.613 92.907 30.893 33.027 69.107 66.973 6.09 7.79 260 240 0.890 0.882 bicubic -87.273 -86.397 -67.337 -65.313 -3 -23
206 inception_resnet_v2 efficientnet_b0 5.360 7.000 94.640 93.000 16.227 34.213 83.773 65.787 55.85 5.29 299 224 0.897 0.875 bicubic -5.570 -85.550 -12.643 -63.867 +69 +27
207 resnest14d tf_mixnet_l 5.347 6.947 94.653 93.053 28.587 31.800 71.413 68.200 10.61 7.33 224 0.875 bilinear bicubic -86.393 -86.413 -69.283 -66.240 +23 -14
208 tf_efficientnet_em ese_vovnet19b_dw 5.347 6.827 94.653 93.173 31.707 33.093 68.293 66.907 6.90 6.54 240 224 0.882 0.875 bicubic -88.153 -85.473 -66.733 -64.987 -49 +33
209 tf_efficientnet_b0_ap res2net50_26w_6s 5.307 6.787 94.693 93.213 28.720 31.907 71.280 68.093 5.29 37.05 224 0.875 bicubic bilinear -86.913 -86.743 -69.390 -66.523 +10 -29
210 ens_adv_inception_resnet_v2 resnet34d 5.173 6.733 94.827 93.267 15.680 31.760 84.320 68.240 55.85 21.82 299 224 0.897 0.875 bicubic -5.477 -86.037 -14.810 -66.500 +67 +9
211 mobilenetv3_large_100 selecsls60b 5.120 6.693 94.880 93.307 28.040 33.453 71.960 66.547 5.48 32.77 224 0.875 bicubic -86.210 -86.607 -69.670 -64.857 +23 -15
212 densenet121 mixnet_m 5.080 6.667 94.920 93.333 29.627 32.200 70.373 67.800 7.98 5.01 224 0.875 bicubic -86.480 -85.783 -68.393 -65.670 +19 +25
213 res2net50_26w_4s efficientnet_es 5.067 6.627 94.933 93.373 28.987 34.333 71.013 65.667 25.70 5.44 224 0.875 bilinear bicubic -87.423 -86.443 -69.303 -64.147 -4 -6
214 tf_efficientnet_b0 skresnet34 5.040 6.627 94.960 93.373 28.907 31.560 71.093 68.440 5.29 22.28 224 0.875 bicubic -87.190 -85.783 -69.093 -66.660 +4 +24
215 tf_mixnet_m legacy_seresnext26_32x4d 5.040 6.600 94.960 93.400 28.080 33.253 71.920 66.747 5.01 16.79 224 0.875 bicubic -87.290 -85.920 -69.810 -64.897 -1 +19
216 res2net50_14w_8s dla60x 4.907 6.560 95.093 93.440 28.320 33.680 71.680 66.320 25.06 17.35 224 0.875 bilinear -87.813 -86.570 -69.870 -64.840 -17 -13
217 regnetx_032 repvgg_b1 4.880 6.547 95.120 93.453 29.920 33.760 70.080 66.240 15.30 57.42 224 0.875 bicubic bilinear -88.240 -86.863 -68.470 -64.770 -38 -27
218 mixnet_s regnetx_080 4.827 6.347 95.173 93.653 28.493 32.253 71.507 67.747 4.13 39.57 224 0.875 bicubic -86.993 -87.553 -69.367 -66.567 +10 -60
219 mobilenetv3_rw tv_resnet152 4.813 6.240 95.187 93.760 29.520 32.440 70.480 67.560 5.48 60.19 224 0.875 bicubic bilinear -86.397 -87.090 -68.140 -65.930 +18 -24
220 gluon_resnet50_v1c legacy_seresnet50 4.773 6.213 95.227 93.787 27.773 32.760 72.227 67.240 25.58 28.09 224 0.875 bicubic bilinear -88.257 -86.797 -70.597 -65.420 -36 -10
221 selecsls42b swsl_resnet18 4.707 6.120 95.293 93.880 28.320 31.680 71.680 68.320 32.46 11.69 224 0.875 bicubic bilinear -87.593 -84.650 -69.830 -66.090 -5 +58
222 tv_resnext50_32x4d tf_efficientnet_cc_b0_4e 4.693 6.027 95.307 93.973 29.813 29.587 70.187 70.413 25.03 13.31 224 0.875 bilinear bicubic -88.067 -86.533 -68.457 -68.553 -27 +10
223 densenet161 dla102 4.573 6.000 95.427 94.000 29.520 32.867 70.480 67.133 28.68 33.27 224 0.875 bicubic bilinear -87.917 -87.090 -68.540 -65.623 -13 -18
224 tv_resnet101 res2next50 4.547 5.907 95.453 94.093 28.907 30.827 71.093 69.173 44.55 24.67 224 0.875 bilinear -88.253 -86.983 -69.323 -67.363 -32 -10
225 tf_efficientnet_lite1 resnet50 4.467 5.867 95.533 94.133 28.347 28.893 71.653 71.107 5.42 25.56 240 224 0.882 0.875 bicubic -88.153 -88.063 -69.733 -69.447 -21 -69
226 mobilenetv2_120d regnetx_040 4.427 5.667 95.573 94.333 29.040 31.653 70.960 68.347 5.83 22.12 224 0.875 bicubic -87.973 -87.883 -69.010 -66.807 -14 -47
227 fbnetc_100 selecsls60 4.080 5.613 95.920 94.387 25.480 32.427 74.520 67.573 5.57 30.67 224 0.875 bilinear bicubic -86.630 -87.347 -71.730 -65.793 +22 -16
228 gluon_resnet50_v1b regnety_016 4.027 5.453 95.973 94.547 26.827 30.507 73.173 69.493 25.56 11.20 224 0.875 bicubic -88.513 -87.797 -71.363 -67.893 -20 -28
229 densenet201 hrnet_w18 3.987 5.440 96.013 94.560 27.253 31.160 72.747 68.840 20.01 21.30 224 0.875 bicubic bilinear -88.763 -86.880 -70.987 -67.150 -33 +11
230 dpn68 resnest14d 3.933 5.400 96.067 94.600 26.013 28.747 73.987 71.253 12.61 10.61 224 0.875 bicubic bilinear -88.077 -86.130 -72.027 -69.203 -7 +29
231 resnet26d tf_efficientnet_em 3.920 5.400 96.080 94.600 28.227 31.133 71.773 68.867 16.01 6.90 224 240 0.875 0.882 bicubic -88.130 -87.540 -69.723 -67.057 -9 -19
232 tf_mixnet_s res2net50_14w_8s 3.920 5.347 96.080 94.653 25.200 28.960 74.800 71.040 4.13 25.06 224 0.875 bicubic bilinear -87.590 -87.453 -72.410 -69.210 0 -14
233 semnasnet_100 tf_efficientnet_lite2 3.880 5.320 96.120 94.680 26.840 30.893 73.160 69.107 3.89 6.09 224 260 0.875 0.890 bicubic -87.410 -87.370 -70.730 -67.327 +2 -8
234 regnety_008 repvgg_b1g4 3.707 5.253 96.293 94.747 26.853 30.733 73.147 69.267 6.26 39.97 224 0.875 bicubic bilinear -88.033 -87.567 -71.327 -67.647 -5 -19
235 ssl_resnet18 tf_efficientnet_b0_ap 3.707 5.240 96.293 94.760 25.280 28.947 74.720 71.053 11.69 5.29 224 0.875 bilinear bicubic -86.523 -86.940 -72.280 -69.103 +20 +8
236 densenet169 densenet121 3.680 5.240 96.320 94.760 25.533 29.827 74.467 70.173 14.15 7.98 224 0.875 bicubic -88.230 -86.460 -72.567 -68.183 -11 +23
237 mobilenetv2_140 tf_mixnet_m 3.667 5.133 96.333 94.867 26.480 28.200 73.520 71.800 6.11 5.01 224 0.875 bicubic -88.153 -87.247 -71.210 -69.710 -10 +2
238 tf_mobilenetv3_large_100 res2net50_26w_4s 3.653 5.107 96.347 94.893 25.000 29.293 75.000 70.707 5.48 25.70 224 0.875 bilinear -87.577 -87.373 -72.660 -68.847 -2 -3
239 dla60 gernet_s 3.573 5.080 96.427 94.920 27.920 30.480 72.080 69.520 22.04 8.17 224 0.875 bilinear -88.647 -86.880 -70.100 -67.730 -19 +13
240 res2net50_48w_2s regnetx_032 3.573 5.053 96.427 94.947 26.333 30.360 73.667 69.640 25.29 15.30 224 0.875 bilinear bicubic -88.987 -88.007 -71.737 -67.980 -34 -32
241 spnasnet_100 tf_efficientnet_b0 3.533 5.000 96.467 95.000 24.213 28.667 75.787 71.333 4.42 5.29 224 0.875 bilinear bicubic -86.817 -87.260 -72.977 -69.233 +12 +1
242 regnety_006 mobilenetv3_large_100 3.507 4.920 96.493 95.080 24.893 28.427 75.107 71.573 6.06 5.48 224 0.875 bicubic -87.863 -86.200 -72.817 -69.273 -9 +27
243 regnetx_016 gluon_resnet50_v1c 3.467 4.907 96.533 95.093 26.387 28.120 73.613 71.880 9.19 25.58 224 0.875 bicubic -88.703 -88.123 -71.823 -70.210 -22 -34
244 tf_efficientnet_es mobilenetv3_rw 3.387 4.853 96.613 95.147 27.093 30.213 72.907 69.787 5.44 5.48 224 0.875 bicubic -89.163 -86.347 -71.197 -67.437 -37 +21
245 legacy_seresnet34 mixnet_s 3.293 4.840 96.707 95.160 23.613 28.533 76.387 71.467 21.96 4.13 224 0.875 bilinear bicubic -87.597 -86.990 -73.967 -69.157 +2 +10
246 efficientnet_lite0 densenet161 3.280 4.840 96.720 95.160 25.720 29.613 74.280 70.387 4.65 28.68 224 0.875 bicubic -87.890 -87.840 -71.900 -68.737 -7 -19
247 dla34 selecsls42b 3.160 4.827 96.840 95.173 23.573 28.893 76.427 71.107 15.74 32.46 224 0.875 bilinear bicubic -87.600 -87.413 -74.077 -69.307 +1 -4
248 mnasnet_100 tv_resnext50_32x4d 3.107 4.800 96.893 95.200 24.227 30.520 75.773 69.480 4.38 25.03 224 0.875 bicubic bilinear -87.403 -87.970 -73.243 -67.680 +3 -28
249 mobilenetv2_110d tv_resnet101 3.107 4.627 96.893 95.373 24.373 29.293 75.627 70.707 4.52 44.55 224 0.875 bicubic bilinear -87.863 -88.183 -73.167 -68.967 -4 -32
250 regnety_004 tf_efficientnet_lite1 3.067 4.547 96.933 95.453 22.613 28.320 77.387 71.680 4.34 5.42 224 240 0.875 0.882 bicubic -87.433 -88.053 -74.947 -69.730 +2 -20
251 tf_efficientnet_lite0 mobilenetv2_120d 3.067 4.493 96.933 95.507 22.813 29.867 77.187 70.133 4.65 5.83 224 0.875 bicubic -87.973 -87.977 -74.757 -68.133 -8 -15
252 skresnet18 resnet26d 2.987 4.120 97.013 95.880 22.733 28.413 77.267 71.587 11.96 16.01 224 0.875 bicubic -86.673 -87.960 -74.487 -69.587 +6 -3
253 resnet34 semnasnet_100 2.907 4.080 97.093 95.920 23.560 27.227 76.440 72.773 21.80 3.89 224 0.875 bilinear bicubic -88.203 -87.180 -74.060 -70.333 -12 +11
254 tf_mobilenetv3_large_075 densenet201 2.853 4.040 97.147 95.960 21.600 27.640 78.400 72.360 3.99 20.01 224 0.875 bilinear bicubic -86.857 -88.630 -75.620 -70.620 +3 -26
255 regnetx_008 gluon_resnet50_v1b 2.733 3.973 97.267 96.027 22.347 26.920 77.653 73.080 7.26 25.56 224 0.875 bicubic -88.317 -88.647 -75.363 -71.250 -13 -27
256 gluon_resnet34_v1b fbnetc_100 2.653 3.973 97.347 96.027 21.547 26.053 78.453 73.947 21.80 5.57 224 0.875 bicubic bilinear -88.337 -86.877 -76.093 -71.187 -12 +22
257 hrnet_w18_small_v2 repvgg_a2 2.627 3.920 97.373 96.080 23.587 26.827 76.413 73.173 15.60 28.21 224 0.875 bilinear -88.563 -88.200 -74.313 -71.373 -19 -10
258 resnet18d mobilenetv2_140 2.493 3.853 97.507 96.147 21.600 26.533 78.400 73.467 11.71 6.11 224 0.875 bicubic -86.807 -88.007 -75.550 -71.337 +2 -4
259 regnetx_006 dpn68 2.467 3.840 97.533 96.160 20.627 25.987 79.373 74.013 6.20 12.61 224 0.875 bicubic -87.863 -88.220 -76.803 -72.073 -5 -9
260 tv_densenet121 tf_efficientnet_es 2.453 3.840 97.547 96.160 22.547 26.347 77.453 73.653 7.98 5.44 224 0.875 bicubic -88.447 -88.160 -75.163 -71.543 -14 -9
261 legacy_seresnet18 regnety_008 2.440 3.800 97.560 96.200 19.827 27.427 80.173 72.573 11.78 6.26 224 0.875 bicubic -86.440 -88.060 -77.143 -70.763 +3 -6
262 resnet26 tf_mixnet_s 2.373 3.773 97.627 96.227 22.693 25.373 77.307 74.627 16.00 4.13 224 0.875 bicubic -88.747 -87.647 -75.037 -72.237 -22 -1
263 mobilenetv2_100 densenet169 2.147 3.760 97.853 96.240 19.640 25.720 80.360 74.280 3.50 14.15 224 0.875 bicubic -87.463 -88.320 -77.500 -72.450 -4 -15
264 regnety_002 res2net50_48w_2s 2.067 3.680 97.933 96.320 18.587 26.827 81.413 73.173 3.16 25.29 224 0.875 bicubic bilinear -85.293 -88.900 -77.983 -71.243 +3 -33
265 tf_mobilenetv3_small_100 ssl_resnet18 2.000 3.653 98.000 96.347 15.880 25.307 84.120 74.693 2.54 11.69 224 0.875 bilinear -83.180 -86.597 -79.900 -72.313 +5 +19
266 tf_mobilenetv3_small_075 dla60 1.973 3.653 98.027 96.347 14.840 27.800 85.160 72.200 2.04 22.04 224 0.875 bilinear -81.517 -88.487 -79.950 -70.260 +7 -20
267 regnetx_004 regnetx_016 1.960 3.640 98.040 96.360 19.080 26.413 80.920 73.587 5.16 9.19 224 0.875 bicubic -86.930 -88.500 -78.040 -71.867 -4 -21
268 tv_resnet34 tf_mobilenetv3_large_100 1.827 3.587 98.173 96.413 19.813 24.907 80.187 75.093 21.80 5.48 224 0.875 bilinear -88.093 -87.523 -77.527 -72.763 -12 +2
269 dla46x_c spnasnet_100 1.693 3.547 98.307 96.453 16.373 24.533 83.627 75.467 1.07 4.42 224 0.875 bilinear -82.557 -86.823 -78.907 -72.627 +2 +15
270 tf_mobilenetv3_large_minimal_100 regnety_006 1.627 3.533 98.373 96.467 17.200 25.280 82.800 74.720 3.92 6.06 224 0.875 bilinear bicubic -87.333 -87.747 -79.670 -72.530 -8 -7
271 dla60x_c legacy_seresnet34 1.587 3.253 98.413 96.747 17.800 23.813 82.200 76.187 1.32 21.96 224 0.875 bilinear -84.693 -87.717 -78.360 -73.797 -3 +4
272 gluon_resnet18_v1b dla34 1.547 3.227 98.453 96.773 16.600 23.853 83.400 76.147 11.69 15.74 224 0.875 bicubic bilinear -86.823 -87.563 -80.090 -73.737 -7 +6
273 hrnet_w18_small efficientnet_lite0 1.507 3.200 98.493 96.800 18.093 25.773 81.907 74.227 13.19 4.65 224 0.875 bilinear bicubic -87.533 -87.870 -79.007 -71.887 -12 -2
274 dla46_c mnasnet_100 1.453 3.120 98.547 96.880 15.027 24.267 84.973 75.733 1.30 4.38 224 0.875 bilinear bicubic -82.187 -87.340 -79.883 -73.223 -2 +8
275 regnetx_002 mobilenetv2_110d 1.267 3.053 98.733 96.947 14.827 24.507 85.173 75.493 2.68 4.52 224 0.875 bicubic -84.933 -87.807 -81.143 -73.103 -6 +1
276 resnet18 regnety_004 1.120 3.027 98.880 96.973 16.173 23.080 83.827 76.920 11.69 4.34 224 0.875 bilinear bicubic -86.250 -87.453 -80.087 -74.430 -10 +5
277 tf_mobilenetv3_small_minimal_100 skresnet18 1.027 3.013 98.973 96.987 11.400 23.027 88.600 76.973 2.04 11.96 224 0.875 bilinear bicubic -80.353 -86.747 -82.270 -74.293 -3 +12
278 tv_resnet50 tf_efficientnet_lite0 0.027 3.013 99.973 96.987 14.320 23.013 85.680 76.987 25.56 4.65 224 0.875 bilinear bicubic -91.853 -88.007 -83.720 -74.407 -52 -6
279 resnet34 2.960 97.040 24.000 76.000 21.80 224 0.875 bilinear -88.220 -73.730 -13
280 vgg19_bn 2.947 97.053 23.333 76.667 143.68 224 0.875 bilinear -87.143 -74.277 +6
281 vgg16_bn 2.893 97.107 23.840 76.160 138.37 224 0.875 bilinear -87.147 -73.520 +6
282 hrnet_w18_small_v2 2.880 97.120 23.680 76.320 15.60 224 0.875 bilinear -88.460 -74.270 -20
283 tf_mobilenetv3_large_075 2.880 97.120 21.747 78.253 3.99 224 0.875 bilinear -86.780 -75.533 +7
284 resnet18d 2.853 97.147 21.800 78.200 11.71 224 0.875 bicubic -86.297 -75.420 +9
285 tv_densenet121 2.667 97.333 22.760 77.240 7.98 224 0.875 bicubic -88.313 -74.980 -12
286 gluon_resnet34_v1b 2.560 97.440 21.773 78.227 21.80 224 0.875 bicubic -88.410 -75.867 -12
287 repvgg_b0 2.560 97.440 24.120 75.880 15.82 224 0.875 bilinear -88.860 -73.800 -27
288 vgg16 2.560 97.440 20.293 79.707 138.36 224 0.875 bilinear -86.080 -76.487 +12
289 regnetx_008 2.547 97.453 22.333 77.667 7.26 224 0.875 bicubic -88.633 -75.217 -21
290 resnet26 2.480 97.520 23.053 76.947 16.00 224 0.875 bicubic -88.700 -74.747 -23
291 legacy_seresnet18 2.440 97.560 19.880 80.120 11.78 224 0.875 bicubic -86.470 -77.110 +6
292 regnetx_006 2.307 97.693 20.760 79.240 6.20 224 0.875 bicubic -88.073 -76.560 -9
293 mobilenetv2_100 2.240 97.760 19.707 80.293 3.50 224 0.875 bicubic -87.220 -77.493 -1
294 vgg13_bn 2.227 97.773 20.480 79.520 133.05 224 0.875 bilinear -86.613 -76.500 +4
295 vgg19 2.213 97.787 20.920 79.080 143.67 224 0.875 bilinear -86.907 -75.980 -1
296 tf_mobilenetv3_small_100 2.053 97.947 15.840 84.160 2.54 224 0.875 bilinear -83.297 -79.800 +13
297 regnety_002 2.040 97.960 18.587 81.413 3.16 224 0.875 bicubic -85.360 -78.083 +6
298 regnetx_004 1.960 98.040 18.920 81.080 5.16 224 0.875 bicubic -87.070 -78.170 -3
299 tf_mobilenetv3_small_075 1.907 98.093 15.040 84.960 2.04 224 0.875 bilinear -81.563 -79.660 +13
300 tv_resnet34 1.853 98.147 20.027 79.973 21.80 224 0.875 bilinear -88.117 -77.363 -12
301 dla60x_c 1.800 98.200 17.920 82.080 1.32 224 0.875 bilinear -84.460 -78.180 +6
302 vgg11_bn 1.800 98.200 18.427 81.573 132.87 224 0.875 bilinear -85.760 -78.373 0
303 vgg13 1.747 98.253 18.120 81.880 133.05 224 0.875 bilinear -85.313 -78.120 +2
304 dla46x_c 1.640 98.360 16.360 83.640 1.07 224 0.875 bilinear -82.790 -78.980 +6
305 tf_mobilenetv3_large_minimal_100 1.613 98.387 17.213 82.787 3.92 224 0.875 bilinear -87.327 -79.597 -9
306 hrnet_w18_small 1.573 98.427 18.133 81.867 13.19 224 0.875 bilinear -87.237 -78.857 -7
307 gluon_resnet18_v1b 1.533 98.467 16.773 83.227 11.69 224 0.875 bicubic -86.747 -79.867 -6
308 vgg11 1.507 98.493 16.213 83.787 132.86 224 0.875 bilinear -85.053 -80.007 -2
309 dla46_c 1.453 98.547 15.280 84.720 1.30 224 0.875 bilinear -82.107 -79.610 +2
310 regnetx_002 1.320 98.680 15.267 84.733 2.68 224 0.875 bicubic -84.830 -80.753 -2
311 tf_mobilenetv3_small_minimal_100 1.040 98.960 11.640 88.360 2.04 224 0.875 bilinear -80.510 -82.070 +2
312 resnet18 1.000 99.000 16.253 83.747 11.69 224 0.875 bilinear -86.400 -80.027 -8
313 tv_resnet50 0.040 99.960 14.960 85.040 25.56 224 0.875 bilinear -91.870 -83.100 -60

581
results/results-imagenet-r-clean.csv
Unescape View File

@ -1,278 +1,313 @@
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,97.770,2.230,99.890,0.110,480.31,800,0.960,bicubic tf_efficientnet_l2_ns,97.760,2.240,99.880,0.120,480.31,800,0.960,bicubic
tf_efficientnet_l2_ns_475,97.750,2.250,99.820,0.180,480.31,475,0.936,bicubic tf_efficientnet_l2_ns_475,97.760,2.240,99.820,0.180,480.31,475,0.936,bicubic
tf_efficientnet_b7_ns,97.210,2.790,99.700,0.300,66.35,600,0.949,bicubic tf_efficientnet_b7_ns,97.200,2.800,99.700,0.300,66.35,600,0.949,bicubic
tf_efficientnet_b6_ns,97.030,2.970,99.710,0.290,43.04,528,0.942,bicubic tf_efficientnet_b6_ns,97.010,2.990,99.710,0.290,43.04,528,0.942,bicubic
ig_resnext101_32x48d,96.960,3.040,99.670,0.330,828.41,224,0.875,bilinear ig_resnext101_32x48d,96.980,3.020,99.660,0.340,828.41,224,0.875,bilinear
resnetv2_152x4_bitm,96.880,3.120,99.660,0.340,936.53,480,1.000,bilinear dm_nfnet_f6,96.970,3.030,99.740,0.260,438.36,576,0.956,bicubic
tf_efficientnet_b5_ns,96.880,3.120,99.640,0.360,30.39,456,0.934,bicubic tf_efficientnet_b5_ns,96.880,3.120,99.640,0.360,30.39,456,0.934,bicubic
ig_resnext101_32x32d,96.780,3.220,99.530,0.470,468.53,224,0.875,bilinear resnetv2_152x4_bitm,96.860,3.140,99.660,0.340,936.53,480,1.000,bilinear
tf_efficientnet_b4_ns,96.710,3.290,99.640,0.360,19.34,380,0.922,bicubic ig_resnext101_32x32d,96.850,3.150,99.520,0.480,468.53,224,0.875,bilinear
tf_efficientnet_b8,96.700,3.300,99.550,0.450,87.41,672,0.954,bicubic dm_nfnet_f4,96.800,3.200,99.640,0.360,316.07,512,0.951,bicubic
tf_efficientnet_b7,96.580,3.420,99.510,0.490,66.35,600,0.949,bicubic dm_nfnet_f5,96.720,3.280,99.680,0.320,377.21,544,0.954,bicubic
tf_efficientnet_b8_ap,96.560,3.440,99.550,0.450,87.41,672,0.954,bicubic tf_efficientnet_b8,96.700,3.300,99.520,0.480,87.41,672,0.954,bicubic
resnetv2_152x2_bitm,96.490,3.510,99.620,0.380,236.34,480,1.000,bilinear tf_efficientnet_b4_ns,96.680,3.320,99.680,0.320,19.34,380,0.922,bicubic
vit_base_resnet50_384,96.470,3.530,99.660,0.340,98.95,384,1.000,bicubic dm_nfnet_f3,96.660,3.340,99.640,0.360,254.92,416,0.940,bicubic
ig_resnext101_32x16d,96.430,3.570,99.540,0.460,194.03,224,0.875,bilinear tf_efficientnet_b7,96.580,3.420,99.520,0.480,66.35,600,0.949,bicubic
resnetv2_101x3_bitm,96.380,3.620,99.600,0.400,387.93,480,1.000,bilinear tf_efficientnet_b8_ap,96.560,3.440,99.540,0.460,87.41,672,0.954,bicubic
vit_large_patch16_384,96.360,3.640,99.630,0.370,304.72,384,1.000,bicubic resnetv2_152x2_bitm,96.510,3.490,99.620,0.380,236.34,480,1.000,bilinear
tf_efficientnet_b6_ap,96.360,3.640,99.550,0.450,43.04,528,0.942,bicubic vit_deit_base_distilled_patch16_384,96.490,3.510,99.590,0.410,87.63,384,1.000,bicubic
tf_efficientnet_b7_ap,96.350,3.650,99.600,0.400,66.35,600,0.949,bicubic vit_base_resnet50_384,96.460,3.540,99.670,0.330,98.95,384,1.000,bicubic
seresnet152d_320,96.330,3.670,99.510,0.490,66.84,320,1.000,bicubic dm_nfnet_f2,96.460,3.540,99.560,0.440,193.78,352,0.920,bicubic
tf_efficientnet_b6,96.280,3.720,99.520,0.480,43.04,528,0.942,bicubic ecaresnet269d,96.420,3.580,99.640,0.360,102.09,352,1.000,bicubic
swsl_resnext101_32x16d,96.270,3.730,99.500,0.500,194.03,224,0.875,bilinear ig_resnext101_32x16d,96.380,3.620,99.560,0.440,194.03,224,0.875,bilinear
swsl_resnext101_32x8d,96.220,3.780,99.590,0.410,88.79,224,0.875,bilinear vit_large_patch16_384,96.380,3.620,99.640,0.360,304.72,384,1.000,bicubic
resnetv2_50x3_bitm,96.170,3.830,99.620,0.380,217.32,480,1.000,bilinear tf_efficientnet_b6_ap,96.370,3.630,99.550,0.450,43.04,528,0.942,bicubic
vit_base_patch16_384,96.170,3.830,99.520,0.480,86.86,384,1.000,bicubic resnetv2_101x3_bitm,96.350,3.650,99.600,0.400,387.93,480,1.000,bilinear
resnest269e,96.120,3.880,99.520,0.480,110.93,416,0.928,bicubic tf_efficientnet_b7_ap,96.350,3.650,99.590,0.410,66.35,600,0.949,bicubic
resnet200d_320,96.110,3.890,99.460,0.540,64.69,320,1.000,bicubic dm_nfnet_f1,96.340,3.660,99.460,0.540,132.63,320,0.910,bicubic
tf_efficientnet_b3_ns,96.110,3.890,99.470,0.530,12.23,300,0.904,bicubic tf_efficientnet_b6,96.320,3.680,99.530,0.470,43.04,528,0.942,bicubic
resnest200e,96.080,3.920,99.470,0.530,70.20,320,0.909,bicubic swsl_resnext101_32x16d,96.290,3.710,99.540,0.460,194.03,224,0.875,bilinear
seresnet152d,96.280,3.720,99.510,0.490,66.84,320,1.000,bicubic
swsl_resnext101_32x8d,96.270,3.730,99.590,0.410,88.79,224,0.875,bilinear
vit_base_patch16_384,96.190,3.810,99.550,0.450,86.86,384,1.000,bicubic
resnest269e,96.140,3.860,99.540,0.460,110.93,416,0.928,bicubic
resnet200d,96.130,3.870,99.440,0.560,64.69,320,1.000,bicubic
resnetv2_50x3_bitm,96.130,3.870,99.620,0.380,217.32,480,1.000,bilinear
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
swsl_resnext101_32x4d,96.060,3.940,99.540,0.460,44.18,224,0.875,bilinear tf_efficientnet_b3_ns,96.040,3.960,99.460,0.540,12.23,300,0.904,bicubic
tf_efficientnet_b5,95.980,4.020,99.450,0.550,30.39,456,0.934,bicubic swsl_resnext101_32x4d,96.030,3.970,99.540,0.460,44.18,224,0.875,bilinear
ig_resnext101_32x8d,95.940,4.060,99.390,0.610,88.79,224,0.875,bilinear tf_efficientnet_b5,95.970,4.030,99.460,0.540,30.39,456,0.934,bicubic
seresnet152d,95.940,4.060,99.400,0.600,66.84,256,0.940,bicubic ig_resnext101_32x8d,95.880,4.120,99.350,0.650,88.79,224,0.875,bilinear
resnet152d_320,95.850,4.150,99.430,0.570,60.21,320,1.000,bicubic resnet152d,95.870,4.130,99.420,0.580,60.21,320,1.000,bicubic
resnet101d_320,95.750,4.250,99.440,0.560,44.57,320,1.000,bicubic resnet101d,95.740,4.260,99.420,0.580,44.57,320,1.000,bicubic
resnet200d,95.700,4.300,99.340,0.660,64.69,256,0.940,bicubic vit_deit_base_distilled_patch16_224,95.730,4.270,99.290,0.710,87.34,224,0.900,bicubic
swsl_resnext50_32x4d,95.610,4.390,99.440,0.560,25.03,224,0.875,bilinear dm_nfnet_f0,95.650,4.350,99.300,0.700,71.49,256,0.900,bicubic
resnest101e,95.590,4.410,99.270,0.730,48.28,256,0.875,bilinear swsl_resnext50_32x4d,95.630,4.370,99.450,0.550,25.03,224,0.875,bilinear
tf_efficientnet_b4,95.590,4.410,99.320,0.680,19.34,380,0.922,bicubic vit_deit_base_patch16_384,95.620,4.380,99.240,0.760,86.86,384,1.000,bicubic
tf_efficientnet_b2_ns,95.530,4.470,99.340,0.660,9.11,260,0.890,bicubic tf_efficientnet_b4,95.580,4.420,99.290,0.710,19.34,380,0.922,bicubic
resnest101e,95.560,4.440,99.280,0.720,48.28,256,0.875,bilinear
tresnet_xl_448,95.520,4.480,99.340,0.660,78.44,448,0.875,bilinear tresnet_xl_448,95.520,4.480,99.340,0.660,78.44,448,0.875,bilinear
resnetv2_101x1_bitm,95.500,4.500,99.510,0.490,44.54,480,1.000,bilinear tf_efficientnet_b4_ap,95.520,4.480,99.420,0.580,19.34,380,0.922,bicubic
tf_efficientnet_b4_ap,95.500,4.500,99.390,0.610,19.34,380,0.922,bicubic resnetv2_101x1_bitm,95.510,4.490,99.520,0.480,44.54,480,1.000,bilinear
resnet152d,95.470,4.530,99.300,0.700,60.21,256,0.940,bicubic ssl_resnext101_32x16d,95.470,4.530,99.410,0.590,194.03,224,0.875,bilinear
ssl_resnext101_32x16d,95.400,4.600,99.410,0.590,194.03,224,0.875,bilinear tf_efficientnet_b2_ns,95.460,4.540,99.390,0.610,9.11,260,0.890,bicubic
tresnet_l_448,95.400,4.600,99.280,0.720,55.99,448,0.875,bilinear tresnet_l_448,95.420,4.580,99.300,0.700,55.99,448,0.875,bilinear
ssl_resnext101_32x8d,95.330,4.670,99.320,0.680,88.79,224,0.875,bilinear pnasnet5large,95.370,4.630,99.120,0.880,86.06,331,0.911,bicubic
vit_large_patch16_224,95.290,4.710,99.310,0.690,304.33,224,0.900,bicubic nasnetalarge,95.320,4.680,99.140,0.860,88.75,331,0.911,bicubic
resnet101d,95.280,4.720,99.260,0.740,44.57,256,0.940,bicubic swsl_resnet50,95.290,4.710,99.350,0.650,25.56,224,0.875,bilinear
vit_base_patch32_384,95.250,4.750,99.180,0.820,88.30,384,1.000,bicubic vit_base_patch16_224,95.290,4.710,99.230,0.770,86.57,224,0.900,bicubic
vit_base_patch16_224,95.220,4.780,99.240,0.760,86.57,224,0.900,bicubic ssl_resnext101_32x8d,95.290,4.710,99.310,0.690,88.79,224,0.875,bilinear
swsl_resnet50,95.220,4.780,99.400,0.600,25.56,224,0.875,bilinear vit_large_patch16_224,95.280,4.720,99.310,0.690,304.33,224,0.900,bicubic
nasnetalarge,95.170,4.830,99.130,0.870,88.75,331,0.911,bicubic vit_base_patch32_384,95.270,4.730,99.190,0.810,88.30,384,1.000,bicubic
ecaresnet101d,95.160,4.840,99.230,0.770,44.57,224,0.875,bicubic vit_large_patch32_384,95.240,4.760,99.310,0.690,306.63,384,1.000,bicubic
ssl_resnext101_32x4d,95.160,4.840,99.300,0.700,44.18,224,0.875,bilinear ecaresnet101d,95.210,4.790,99.240,0.760,44.57,224,0.875,bicubic
efficientnet_b3a,95.150,4.850,99.210,0.790,12.23,320,1.000,bicubic efficientnet_b3a,95.170,4.830,99.220,0.780,12.23,320,1.000,bicubic
regnety_032,95.070,4.930,99.210,0.790,19.44,224,0.875,bicubic ssl_resnext101_32x4d,95.150,4.850,99.320,0.680,44.18,224,0.875,bilinear
tresnet_xl,95.070,4.930,99.250,0.750,78.44,224,0.875,bilinear regnety_032,95.130,4.870,99.220,0.780,19.44,224,0.875,bicubic
efficientnet_b3,94.970,5.030,99.240,0.760,12.23,300,0.904,bicubic ecaresnet50t,95.080,4.920,99.270,0.730,25.57,320,0.950,bicubic
tf_efficientnet_b3_ap,94.960,5.040,99.110,0.890,12.23,300,0.904,bicubic tresnet_xl,94.990,5.010,99.220,0.780,78.44,224,0.875,bilinear
tf_efficientnet_b3,94.910,5.090,99.100,0.900,12.23,300,0.904,bicubic vit_deit_base_patch16_224,94.970,5.030,99.000,1.000,86.57,224,0.900,bicubic
tresnet_l,94.900,5.100,99.030,0.970,55.99,224,0.875,bilinear gernet_l,94.940,5.060,99.180,0.820,31.08,256,0.875,bilinear
tf_efficientnet_b1_ns,94.880,5.120,99.250,0.750,7.79,240,0.882,bicubic tf_efficientnet_b3,94.900,5.100,99.140,0.860,12.23,300,0.904,bicubic
tf_efficientnet_lite4,94.870,5.130,99.090,0.910,13.01,380,0.920,bilinear efficientnet_b3,94.890,5.110,99.190,0.810,12.23,300,0.904,bicubic
seresnext50_32x4d,94.810,5.190,99.130,0.870,27.56,224,0.875,bicubic tf_efficientnet_b3_ap,94.890,5.110,99.130,0.870,12.23,300,0.904,bicubic
legacy_senet154,94.730,5.270,99.100,0.900,115.09,224,0.875,bilinear tf_efficientnet_lite4,94.880,5.120,99.110,0.890,13.01,380,0.920,bilinear
gluon_senet154,94.710,5.290,98.970,1.030,115.09,224,0.875,bicubic tf_efficientnet_b1_ns,94.850,5.150,99.240,0.760,7.79,240,0.882,bicubic
resnest50d_4s2x40d,94.710,5.290,99.130,0.870,30.42,224,0.875,bicubic tresnet_l,94.830,5.170,99.060,0.940,55.99,224,0.875,bilinear
ssl_resnext50_32x4d,94.700,5.300,99.240,0.760,25.03,224,0.875,bilinear seresnext50_32x4d,94.770,5.230,99.120,0.880,27.56,224,0.875,bicubic
gluon_resnet152_v1s,94.700,5.300,99.050,0.950,60.32,224,0.875,bicubic legacy_senet154,94.760,5.240,99.100,0.900,115.09,224,0.875,bilinear
rexnet_200,94.670,5.330,99.090,0.910,16.37,224,0.875,bicubic resnest50d_4s2x40d,94.720,5.280,99.130,0.870,30.42,224,0.875,bicubic
tresnet_m_448,94.670,5.330,99.170,0.830,31.39,448,0.875,bilinear ssl_resnext50_32x4d,94.720,5.280,99.190,0.810,25.03,224,0.875,bilinear
wide_resnet50_2,94.660,5.340,99.050,0.950,68.88,224,0.875,bicubic wide_resnet50_2,94.690,5.310,99.090,0.910,68.88,224,0.875,bicubic
gluon_seresnext101_64x4d,94.630,5.370,98.970,1.030,88.23,224,0.875,bicubic tresnet_m_448,94.670,5.330,99.140,0.860,31.39,448,0.875,bilinear
resnest50d,94.620,5.380,99.030,0.970,27.48,224,0.875,bilinear gluon_resnet152_v1s,94.650,5.350,99.070,0.930,60.32,224,0.875,bicubic
efficientnet_b3_pruned,94.580,5.420,99.070,0.930,9.86,300,0.904,bicubic gluon_senet154,94.650,5.350,98.990,1.010,115.09,224,0.875,bicubic
resnetv2_50x1_bitm,94.530,5.470,99.240,0.760,25.55,480,1.000,bilinear repvgg_b3,94.630,5.370,98.990,1.010,123.09,224,0.875,bilinear
regnety_320,94.500,5.500,99.170,0.830,145.05,224,0.875,bicubic rexnet_200,94.600,5.400,99.060,0.940,16.37,224,0.875,bicubic
tf_efficientnet_el,94.470,5.530,99.080,0.920,10.59,300,0.904,bicubic repvgg_b3g4,94.570,5.430,99.000,1.000,83.83,224,0.875,bilinear
gluon_resnet152_v1d,94.450,5.550,99.000,1.000,60.21,224,0.875,bicubic vit_deit_small_distilled_patch16_224,94.570,5.430,99.100,0.900,22.44,224,0.900,bicubic
ecaresnet101d_pruned,94.440,5.560,99.100,0.900,24.88,224,0.875,bicubic efficientnet_b3_pruned,94.550,5.450,99.060,0.940,9.86,300,0.904,bicubic
gluon_seresnext101_32x4d,94.430,5.570,99.090,0.910,48.96,224,0.875,bicubic gluon_seresnext101_64x4d,94.500,5.500,98.970,1.030,88.23,224,0.875,bicubic
resnest50d_1s4x24d,94.390,5.610,99.060,0.940,25.68,224,0.875,bicubic regnety_320,94.500,5.500,99.150,0.850,145.05,224,0.875,bicubic
efficientnet_b2a,94.370,5.630,99.050,0.950,9.11,288,1.000,bicubic resnetv2_50x1_bitm,94.500,5.500,99.260,0.740,25.55,480,1.000,bilinear
efficientnet_b2,94.340,5.660,99.100,0.900,9.11,260,0.875,bicubic resnest50d,94.490,5.510,99.000,1.000,27.48,224,0.875,bilinear
gluon_resnext101_64x4d,94.330,5.670,98.880,1.120,83.46,224,0.875,bicubic gernet_m,94.480,5.520,98.910,1.090,21.14,224,0.875,bilinear
ssl_resnet50,94.320,5.680,99.160,0.840,25.56,224,0.875,bilinear gluon_resnet152_v1d,94.470,5.530,98.990,1.010,60.21,224,0.875,bicubic
regnetx_120,94.300,5.700,99.200,0.800,46.11,224,0.875,bicubic ecaresnet101d_pruned,94.460,5.540,99.130,0.870,24.88,224,0.875,bicubic
rexnet_150,94.280,5.720,99.090,0.910,9.73,224,0.875,bicubic tf_efficientnet_el,94.450,5.550,99.100,0.900,10.59,300,0.904,bicubic
tf_efficientnet_b2_ap,94.270,5.730,98.950,1.050,9.11,260,0.890,bicubic nf_resnet50,94.420,5.580,99.100,0.900,25.56,288,0.940,bicubic
mixnet_xl,94.220,5.780,98.820,1.180,11.90,224,0.875,bicubic efficientnet_b2a,94.400,5.600,99.050,0.950,9.11,288,1.000,bicubic
dpn92,94.200,5.800,98.930,1.070,37.67,224,0.875,bicubic gluon_seresnext101_32x4d,94.400,5.600,99.110,0.890,48.96,224,0.875,bicubic
ecaresnet50d,94.200,5.800,99.020,0.980,25.58,224,0.875,bicubic inception_v4,94.390,5.610,98.830,1.170,42.68,299,0.875,bicubic
regnetx_320,94.200,5.800,99.050,0.950,107.81,224,0.875,bicubic tf_efficientnet_b2_ap,94.360,5.640,98.970,1.030,9.11,260,0.890,bicubic
tf_efficientnet_b2,94.200,5.800,99.030,0.970,9.11,260,0.890,bicubic gluon_resnext101_64x4d,94.350,5.650,98.830,1.170,83.46,224,0.875,bicubic
gluon_seresnext50_32x4d,94.180,5.820,98.910,1.090,27.56,224,0.875,bicubic efficientnet_b2,94.340,5.660,99.120,0.880,9.11,260,0.875,bicubic
gluon_resnet101_v1s,94.180,5.820,99.020,0.980,44.67,224,0.875,bicubic resnest50d_1s4x24d,94.340,5.660,99.060,0.940,25.68,224,0.875,bicubic
legacy_seresnext101_32x4d,94.170,5.830,98.970,1.030,48.96,224,0.875,bilinear gluon_resnet101_v1s,94.290,5.710,99.040,0.960,44.67,224,0.875,bicubic
gluon_resnet101_v1d,94.160,5.840,98.950,1.050,44.57,224,0.875,bicubic rexnet_150,94.280,5.720,99.070,0.930,9.73,224,0.875,bicubic
ecaresnetlight,94.140,5.860,98.950,1.050,30.16,224,0.875,bicubic regnety_160,94.280,5.720,99.020,0.980,83.59,224,0.875,bicubic
regnety_064,94.140,5.860,99.030,0.970,30.58,224,0.875,bicubic inception_resnet_v2,94.260,5.740,98.830,1.170,55.84,299,0.897,bicubic
gluon_resnext101_32x4d,94.120,5.880,98.930,1.070,44.18,224,0.875,bicubic mixnet_xl,94.250,5.750,98.840,1.160,11.90,224,0.875,bicubic
tf_efficientnet_lite3,94.120,5.880,98.960,1.040,8.20,300,0.904,bilinear ssl_resnet50,94.250,5.750,99.080,0.920,25.56,224,0.875,bilinear
regnety_160,94.110,5.890,99.010,0.990,83.59,224,0.875,bicubic dpn92,94.240,5.760,98.950,1.050,37.67,224,0.875,bicubic
cspdarknet53,94.100,5.900,98.980,1.020,27.64,256,0.887,bilinear regnetx_120,94.240,5.760,99.190,0.810,46.11,224,0.875,bicubic
seresnet50,94.080,5.920,98.970,1.030,28.09,224,0.875,bicubic regnetx_320,94.230,5.770,99.060,0.940,107.81,224,0.875,bicubic
tresnet_m,94.080,5.920,98.830,1.170,31.39,224,0.875,bilinear gluon_resnext101_32x4d,94.190,5.810,98.920,1.080,44.18,224,0.875,bicubic
resnet50d,94.070,5.930,98.920,1.080,25.58,224,0.875,bicubic tf_efficientnet_b2,94.190,5.810,99.030,0.970,9.11,260,0.890,bicubic
regnety_120,94.060,5.940,99.020,0.980,51.82,224,0.875,bicubic tf_efficientnet_lite3,94.140,5.860,98.940,1.060,8.20,300,0.904,bilinear
gluon_xception65,94.030,5.970,99.030,0.970,39.92,299,0.903,bicubic ecaresnet50d,94.140,5.860,99.030,0.970,25.58,224,0.875,bicubic
hrnet_w48,94.030,5.970,99.030,0.970,77.47,224,0.875,bilinear ecaresnetlight,94.120,5.880,98.940,1.060,30.16,224,0.875,bicubic
gluon_resnet152_v1b,94.020,5.980,98.740,1.260,60.19,224,0.875,bicubic gluon_resnet101_v1d,94.120,5.880,98.920,1.080,44.57,224,0.875,bicubic
dla102x2,94.020,5.980,99.030,0.970,41.28,224,0.875,bilinear legacy_seresnext101_32x4d,94.110,5.890,98.950,1.050,48.96,224,0.875,bilinear
dpn107,93.960,6.040,98.850,1.150,86.92,224,0.875,bicubic regnety_064,94.110,5.890,99.020,0.980,30.58,224,0.875,bicubic
dpn98,93.950,6.050,98.920,1.080,61.57,224,0.875,bicubic resnet50d,94.110,5.890,98.960,1.040,25.58,224,0.875,bicubic
skresnext50_32x4d,93.950,6.050,98.820,1.180,27.48,224,0.875,bicubic seresnet50,94.100,5.900,98.980,1.020,28.09,224,0.875,bicubic
regnety_080,93.900,6.100,98.990,1.010,39.18,224,0.875,bicubic cspdarknet53,94.090,5.910,98.970,1.030,27.64,256,0.887,bilinear
xception71,93.900,6.100,98.950,1.050,42.34,299,0.903,bicubic ens_adv_inception_resnet_v2,94.070,5.930,98.790,1.210,55.84,299,0.897,bicubic
regnetx_160,93.890,6.110,99.080,0.920,54.28,224,0.875,bicubic gluon_seresnext50_32x4d,94.040,5.960,98.900,1.100,27.56,224,0.875,bicubic
gluon_resnet152_v1c,93.870,6.130,98.800,1.200,60.21,224,0.875,bicubic dla102x2,94.040,5.960,99.070,0.930,41.28,224,0.875,bilinear
ese_vovnet39b,93.850,6.150,98.900,1.100,24.57,224,0.875,bicubic tresnet_m,94.020,5.980,98.820,1.180,31.39,224,0.875,bilinear
cspresnet50,93.850,6.150,98.880,1.120,21.62,256,0.887,bilinear gluon_xception65,94.010,5.990,99.010,0.990,39.92,299,0.903,bicubic
hrnet_w64,93.850,6.150,98.920,1.080,128.06,224,0.875,bilinear regnetx_160,94.010,5.990,99.120,0.880,54.28,224,0.875,bicubic
resnext50_32x4d,93.850,6.150,98.830,1.170,25.03,224,0.875,bicubic gluon_resnet152_v1b,94.000,6.000,98.770,1.230,60.19,224,0.875,bicubic
ecaresnet50d_pruned,93.820,6.180,99.000,1.000,19.94,224,0.875,bicubic dpn107,93.990,6.010,98.870,1.130,86.92,224,0.875,bicubic
resnext50d_32x4d,93.800,6.200,98.720,1.280,25.05,224,0.875,bicubic resnext50d_32x4d,93.990,6.010,98.790,1.210,25.05,224,0.875,bicubic
efficientnet_b2_pruned,93.800,6.200,98.910,1.090,8.31,260,0.890,bicubic regnety_120,93.960,6.040,99.060,0.940,51.82,224,0.875,bicubic
regnetx_080,93.790,6.210,98.910,1.090,39.57,224,0.875,bicubic hrnet_w64,93.950,6.050,98.960,1.040,128.06,224,0.875,bilinear
dla169,93.780,6.220,98.840,1.160,53.39,224,0.875,bilinear ese_vovnet39b,93.940,6.060,98.930,1.070,24.57,224,0.875,bicubic
gluon_resnet101_v1b,93.770,6.230,98.710,1.290,44.55,224,0.875,bicubic hrnet_w48,93.930,6.070,99.020,0.980,77.47,224,0.875,bilinear
resnext101_32x8d,93.770,6.230,98.950,1.050,88.79,224,0.875,bilinear ecaresnet26t,93.920,6.080,98.940,1.060,16.01,320,0.950,bicubic
dpn131,93.760,6.240,98.810,1.190,79.25,224,0.875,bicubic efficientnet_b2_pruned,93.920,6.080,98.910,1.090,8.31,260,0.890,bicubic
tf_efficientnet_b0_ns,93.760,6.240,98.980,1.020,5.29,224,0.875,bicubic regnetx_080,93.910,6.090,98.910,1.090,39.57,224,0.875,bicubic
cspresnext50,93.750,6.250,98.840,1.160,20.57,224,0.875,bilinear dpn98,93.900,6.100,98.930,1.070,61.57,224,0.875,bicubic
efficientnet_em,93.750,6.250,98.920,1.080,6.90,240,0.882,bicubic gluon_resnet152_v1c,93.900,6.100,98.850,1.150,60.21,224,0.875,bicubic
xception65,93.750,6.250,98.870,1.130,39.92,299,0.903,bicubic skresnext50_32x4d,93.900,6.100,98.800,1.200,27.48,224,0.875,bicubic
wide_resnet101_2,93.730,6.270,98.810,1.190,126.89,224,0.875,bilinear 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
repvgg_b2g4,93.890,6.110,98.920,1.080,61.76,224,0.875,bilinear
nf_regnet_b1,93.890,6.110,98.790,1.210,10.22,288,0.900,bicubic
resnext50_32x4d,93.850,6.150,98.790,1.210,25.03,224,0.875,bicubic
cspresnet50,93.840,6.160,98.900,1.100,21.62,256,0.887,bilinear
ecaresnet50d_pruned,93.840,6.160,98.980,1.020,19.94,224,0.875,bicubic
wide_resnet101_2,93.840,6.160,98.800,1.200,126.89,224,0.875,bilinear
cspresnext50,93.820,6.180,98.840,1.160,20.57,224,0.875,bilinear
resnext101_32x8d,93.820,6.180,98.950,1.050,88.79,224,0.875,bilinear
xception65,93.810,6.190,98.850,1.150,39.92,299,0.903,bicubic
regnety_080,93.800,6.200,99.000,1.000,39.18,224,0.875,bicubic
dpn131,93.770,6.230,98.800,1.200,79.25,224,0.875,bicubic
gluon_resnet101_v1c,93.750,6.250,98.800,1.200,44.57,224,0.875,bicubic
gluon_resnet101_v1b,93.750,6.250,98.720,1.280,44.55,224,0.875,bicubic
efficientnet_em,93.730,6.270,98.940,1.060,6.90,240,0.882,bicubic
resnetblur50,93.730,6.270,98.810,1.190,25.56,224,0.875,bicubic
regnetx_040,93.710,6.290,98.880,1.120,22.12,224,0.875,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
hrnet_w40,93.710,6.290,98.800,1.200,57.56,224,0.875,bilinear gluon_resnext50_32x4d,93.700,6.300,98.700,1.300,25.03,224,0.875,bicubic
resnetblur50,93.710,6.290,98.800,1.200,25.56,224,0.875,bicubic tf_efficientnet_b1_ap,93.680,6.320,98.810,1.190,7.79,240,0.882,bicubic
rexnet_130,93.680,6.320,98.720,1.280,7.56,224,0.875,bicubic xception,93.680,6.320,98.820,1.180,22.86,299,0.897,bicubic
regnetx_040,93.680,6.320,98.950,1.050,22.12,224,0.875,bicubic dla169,93.670,6.330,98.890,1.110,53.39,224,0.875,bilinear
gluon_resnext50_32x4d,93.670,6.330,98.700,1.300,25.03,224,0.875,bicubic hrnet_w44,93.660,6.340,98.930,1.070,67.06,224,0.875,bilinear
gluon_resnet101_v1c,93.660,6.340,98.760,1.240,44.57,224,0.875,bicubic regnetx_064,93.640,6.360,99.040,0.960,26.21,224,0.875,bicubic
regnetx_064,93.650,6.350,99.050,0.950,26.21,224,0.875,bicubic rexnet_130,93.620,6.380,98.720,1.280,7.56,224,0.875,bicubic
xception,93.650,6.350,98.790,1.210,22.86,299,0.897,bicubic dpn68b,93.610,6.390,98.770,1.230,12.61,224,0.875,bicubic
tf_efficientnet_b1_ap,93.640,6.360,98.780,1.220,7.79,240,0.882,bicubic regnety_040,93.600,6.400,98.990,1.010,20.65,224,0.875,bicubic
hrnet_w44,93.630,6.370,98.950,1.050,67.06,224,0.875,bilinear repvgg_b2,93.590,6.410,99.090,0.910,89.02,224,0.875,bilinear
regnety_040,93.610,6.390,98.960,1.040,20.65,224,0.875,bicubic res2net50_26w_8s,93.590,6.410,98.710,1.290,48.40,224,0.875,bilinear
dpn68b,93.600,6.400,98.710,1.290,12.61,224,0.875,bicubic res2net101_26w_4s,93.590,6.410,98.700,1.300,45.21,224,0.875,bilinear
gluon_inception_v3,93.590,6.410,98.840,1.160,23.83,299,0.875,bicubic tf_efficientnet_b0_ns,93.580,6.420,99.010,0.990,5.29,224,0.875,bicubic
gluon_resnet50_v1s,93.590,6.410,98.830,1.170,25.68,224,0.875,bicubic gluon_inception_v3,93.580,6.420,98.830,1.170,23.83,299,0.875,bicubic
tf_efficientnet_cc_b1_8e,93.580,6.420,98.690,1.310,39.72,240,0.882,bicubic gluon_resnet50_v1s,93.560,6.440,98.820,1.180,25.68,224,0.875,bicubic
res2net50_26w_6s,93.570,6.430,98.750,1.250,37.05,224,0.875,bilinear legacy_seresnext50_32x4d,93.560,6.440,98.750,1.250,27.56,224,0.875,bilinear
dla60_res2next,93.560,6.440,98.800,1.200,17.03,224,0.875,bilinear tf_efficientnet_cc_b1_8e,93.560,6.440,98.680,1.320,39.72,240,0.882,bicubic
gluon_resnet50_v1d,93.550,6.450,98.710,1.290,25.58,224,0.875,bicubic res2net50_26w_6s,93.550,6.450,98.800,1.200,37.05,224,0.875,bilinear
res2net101_26w_4s,93.520,6.480,98.630,1.370,45.21,224,0.875,bilinear dla102x,93.530,6.470,98.860,1.140,26.31,224,0.875,bilinear
dla102x,93.510,6.490,98.850,1.150,26.31,224,0.875,bilinear gluon_resnet50_v1d,93.530,6.470,98.830,1.170,25.58,224,0.875,bicubic
xception41,93.480,6.520,98.760,1.240,26.97,299,0.903,bicubic hrnet_w40,93.520,6.480,98.810,1.190,57.56,224,0.875,bilinear
selecsls60b,93.480,6.520,98.840,1.160,32.77,224,0.875,bicubic xception41,93.510,6.490,98.750,1.250,26.97,299,0.903,bicubic
resnet50,93.480,6.520,98.590,1.410,25.56,224,0.875,bicubic resnet50,93.500,6.500,98.580,1.420,25.56,224,0.875,bicubic
tf_efficientnet_em,93.470,6.530,98.750,1.250,6.90,240,0.882,bicubic selecsls60b,93.450,6.550,98.850,1.150,32.77,224,0.875,bicubic
legacy_seresnet152,93.460,6.540,98.850,1.150,66.82,224,0.875,bilinear dla60_res2net,93.440,6.560,98.870,1.130,20.85,224,0.875,bilinear
res2net50_26w_8s,93.450,6.550,98.710,1.290,48.40,224,0.875,bilinear repvgg_b1,93.440,6.560,98.740,1.260,57.42,224,0.875,bilinear
legacy_seresnext50_32x4d,93.400,6.600,98.800,1.200,27.56,224,0.875,bilinear dla60_res2next,93.370,6.630,98.820,1.180,17.03,224,0.875,bilinear
dla60_res2net,93.390,6.610,98.840,1.160,20.85,224,0.875,bilinear hrnet_w30,93.370,6.630,98.880,1.120,37.71,224,0.875,bilinear
hrnet_w30,93.390,6.610,98.830,1.170,37.71,224,0.875,bilinear regnetx_032,93.350,6.650,98.660,1.340,15.30,224,0.875,bicubic
dla102,93.300,6.700,98.780,1.220,33.27,224,0.875,bilinear legacy_seresnet152,93.330,6.670,98.760,1.240,66.82,224,0.875,bilinear
legacy_seresnet101,93.280,6.720,98.750,1.250,49.33,224,0.875,bilinear dla102,93.270,6.730,98.800,1.200,33.27,224,0.875,bilinear
mixnet_l,93.280,6.720,98.710,1.290,7.33,224,0.875,bicubic legacy_seresnet101,93.250,6.750,98.760,1.240,49.33,224,0.875,bilinear
regnetx_032,93.270,6.730,98.740,1.260,15.30,224,0.875,bicubic tv_resnet152,93.220,6.780,98.790,1.210,60.19,224,0.875,bilinear
resnest26d,93.260,6.740,98.840,1.160,17.07,224,0.875,bilinear res2net50_26w_4s,93.210,6.790,98.630,1.370,25.70,224,0.875,bilinear
tv_resnet152,93.250,6.750,98.750,1.250,60.19,224,0.875,bilinear tf_inception_v3,93.200,6.800,98.510,1.490,23.83,299,0.875,bicubic
tf_inception_v3,93.210,6.790,98.480,1.520,23.83,299,0.875,bicubic res2next50,93.180,6.820,98.670,1.330,24.67,224,0.875,bilinear
dla60x,93.210,6.790,98.720,1.280,17.35,224,0.875,bilinear tf_efficientnet_em,93.160,6.840,98.670,1.330,6.90,240,0.882,bicubic
res2net50_26w_4s,93.180,6.820,98.670,1.330,25.70,224,0.875,bilinear mixnet_l,93.150,6.850,98.680,1.320,7.33,224,0.875,bicubic
res2next50,93.130,6.870,98.660,1.340,24.67,224,0.875,bilinear resnest26d,93.150,6.850,98.900,1.100,17.07,224,0.875,bilinear
efficientnet_b1,93.060,6.940,98.530,1.470,7.79,240,0.875,bicubic efficientnet_b1,93.100,6.900,98.590,1.410,7.79,240,0.875,bicubic
tf_mixnet_l,93.050,6.950,98.540,1.460,7.33,224,0.875,bicubic dla60x,93.080,6.920,98.710,1.290,17.35,224,0.875,bilinear
regnety_016,93.030,6.970,98.690,1.310,11.20,224,0.875,bicubic regnety_016,93.070,6.930,98.740,1.260,11.20,224,0.875,bicubic
res2net50_14w_8s,93.010,6.990,98.700,1.300,25.06,224,0.875,bilinear efficientnet_es,93.010,6.990,98.740,1.260,5.44,224,0.875,bicubic
selecsls60,93.010,6.990,98.830,1.170,30.67,224,0.875,bicubic tf_mixnet_l,93.010,6.990,98.540,1.460,7.33,224,0.875,bicubic
adv_inception_v3,92.990,7.010,98.480,1.520,23.83,299,0.875,bicubic efficientnet_b1_pruned,93.000,7.000,98.520,1.480,6.33,240,0.882,bicubic
seresnext26t_32x4d,92.980,7.020,98.480,1.520,16.82,224,0.875,bicubic hrnet_w32,93.000,7.000,98.860,1.140,41.23,224,0.875,bilinear
efficientnet_b1_pruned,92.970,7.030,98.520,1.480,6.33,240,0.882,bicubic densenet161,92.990,7.010,98.780,1.220,28.68,224,0.875,bicubic
hrnet_w32,92.950,7.050,98.840,1.160,41.23,224,0.875,bilinear gluon_resnet50_v1c,92.990,7.010,98.640,1.360,25.58,224,0.875,bicubic
efficientnet_es,92.930,7.070,98.680,1.320,5.44,224,0.875,bicubic res2net50_14w_8s,92.980,7.020,98.620,1.380,25.06,224,0.875,bilinear
gluon_resnet50_v1c,92.910,7.090,98.710,1.290,25.58,224,0.875,bicubic selecsls60,92.980,7.020,98.750,1.250,30.67,224,0.875,bicubic
tv_resnext50_32x4d,92.910,7.090,98.730,1.270,25.03,224,0.875,bilinear inception_v3,92.970,7.030,98.330,1.670,23.83,299,0.875,bicubic
inception_v3,92.900,7.100,98.320,1.680,23.83,299,0.875,bicubic adv_inception_v3,92.960,7.040,98.500,1.500,23.83,299,0.875,bicubic
tv_resnet101,92.880,7.120,98.660,1.340,44.55,224,0.875,bilinear repvgg_b1g4,92.940,7.060,98.800,1.200,39.97,224,0.875,bilinear
densenet161,92.880,7.120,98.810,1.190,28.68,224,0.875,bicubic tv_resnet101,92.940,7.060,98.640,1.360,44.55,224,0.875,bilinear
tf_efficientnet_cc_b0_8e,92.860,7.140,98.460,1.540,24.01,224,0.875,bicubic tv_resnext50_32x4d,92.940,7.060,98.720,1.280,25.03,224,0.875,bilinear
rexnet_100,92.850,7.150,98.620,1.380,4.80,224,0.875,bicubic hrnet_w18,92.860,7.140,98.690,1.310,21.30,224,0.875,bilinear
tf_efficientnet_cc_b0_4e,92.840,7.160,98.440,1.560,13.31,224,0.875,bicubic tf_efficientnet_cc_b0_8e,92.850,7.150,98.480,1.520,24.01,224,0.875,bicubic
res2net50_48w_2s,92.800,7.200,98.460,1.540,25.29,224,0.875,bilinear legacy_seresnet50,92.820,7.180,98.650,1.350,28.09,224,0.875,bilinear
seresnext26tn_32x4d,92.770,7.230,98.550,1.450,16.81,224,0.875,bicubic mobilenetv2_120d,92.770,7.230,98.480,1.520,5.83,224,0.875,bicubic
hrnet_w18,92.760,7.240,98.650,1.350,21.30,224,0.875,bilinear rexnet_100,92.760,7.240,98.630,1.370,4.80,224,0.875,bicubic
dla60,92.690,7.310,98.630,1.370,22.04,224,0.875,bilinear tf_efficientnet_cc_b0_4e,92.740,7.260,98.520,1.480,13.31,224,0.875,bicubic
densenet201,92.690,7.310,98.660,1.340,20.01,224,0.875,bicubic seresnext26t_32x4d,92.740,7.260,98.550,1.450,16.81,224,0.875,bicubic
legacy_seresnet50,92.670,7.330,98.660,1.340,28.09,224,0.875,bilinear gluon_resnet50_v1b,92.730,7.270,98.560,1.440,25.56,224,0.875,bicubic
resnet34d,92.640,7.360,98.440,1.560,21.82,224,0.875,bicubic dla60,92.710,7.290,98.650,1.350,22.04,224,0.875,bilinear
mobilenetv2_120d,92.610,7.390,98.520,1.480,5.83,224,0.875,bicubic repvgg_a2,92.700,7.300,98.600,1.400,28.21,224,0.875,bilinear
vit_small_patch16_224,92.610,7.390,98.390,1.610,48.75,224,0.900,bicubic res2net50_48w_2s,92.670,7.330,98.460,1.540,25.29,224,0.875,bilinear
tf_efficientnet_b0_ap,92.600,7.400,98.370,1.630,5.29,224,0.875,bicubic densenet201,92.660,7.340,98.680,1.320,20.01,224,0.875,bicubic
legacy_seresnext26_32x4d,92.580,7.420,98.430,1.570,16.79,224,0.875,bicubic regnetx_016,92.620,7.380,98.530,1.470,9.19,224,0.875,bicubic
tf_efficientnet_lite2,92.580,7.420,98.550,1.450,6.09,260,0.890,bicubic vit_small_patch16_224,92.620,7.380,98.400,1.600,48.75,224,0.900,bicubic
skresnet34,92.560,7.440,98.510,1.490,22.28,224,0.875,bicubic resnet34d,92.610,7.390,98.430,1.570,21.82,224,0.875,bicubic
regnetx_016,92.560,7.440,98.550,1.450,9.19,224,0.875,bicubic tf_efficientnet_lite2,92.590,7.410,98.570,1.430,6.09,260,0.890,bicubic
gluon_resnet50_v1b,92.550,7.450,98.550,1.450,25.56,224,0.875,bicubic tf_efficientnet_b0_ap,92.570,7.430,98.410,1.590,5.29,224,0.875,bicubic
tf_efficientnet_es,92.540,7.460,98.510,1.490,5.44,224,0.875,bicubic efficientnet_b0,92.550,7.450,98.640,1.360,5.29,224,0.875,bicubic
selecsls42b,92.480,7.520,98.440,1.560,32.46,224,0.875,bicubic legacy_seresnext26_32x4d,92.530,7.470,98.450,1.550,16.79,224,0.875,bicubic
efficientnet_b0,92.470,7.530,98.680,1.320,5.29,224,0.875,bicubic gernet_s,92.480,7.520,98.460,1.540,8.17,224,0.875,bilinear
seresnext26d_32x4d,92.440,7.560,98.540,1.460,16.81,224,0.875,bicubic selecsls42b,92.470,7.530,98.510,1.490,32.46,224,0.875,bicubic
densenetblur121d,92.400,7.600,98.420,1.580,8.00,224,0.875,bicubic seresnext26d_32x4d,92.440,7.560,98.550,1.450,16.81,224,0.875,bicubic
tf_efficientnet_b0,92.400,7.600,98.470,1.530,5.29,224,0.875,bicubic tf_efficientnet_b0,92.360,7.640,98.470,1.530,5.29,224,0.875,bicubic
tf_efficientnet_lite1,92.320,7.680,98.490,1.510,5.42,240,0.882,bicubic skresnet34,92.340,7.660,98.520,1.480,22.28,224,0.875,bicubic
densenet169,92.300,7.700,98.590,1.410,14.15,224,0.875,bicubic tf_efficientnet_lite1,92.330,7.670,98.510,1.490,5.42,240,0.882,bicubic
mixnet_m,92.260,7.740,98.370,1.630,5.01,224,0.875,bicubic densenetblur121d,92.310,7.690,98.390,1.610,8.00,224,0.875,bicubic
dpn68,92.250,7.750,98.600,1.400,12.61,224,0.875,bicubic dpn68,92.290,7.710,98.580,1.420,12.61,224,0.875,bicubic
resnet26d,92.230,7.770,98.470,1.530,16.01,224,0.875,bicubic tf_mixnet_m,92.270,7.730,98.490,1.510,5.01,224,0.875,bicubic
tf_mixnet_m,92.170,7.830,98.420,1.580,5.01,224,0.875,bicubic mixnet_m,92.210,7.790,98.360,1.640,5.01,224,0.875,bicubic
tv_resnet50,92.130,7.870,98.420,1.580,25.56,224,0.875,bilinear densenet169,92.200,7.800,98.570,1.430,14.15,224,0.875,bicubic
mobilenetv2_140,92.040,7.960,98.250,1.750,6.11,224,0.875,bicubic tv_resnet50,92.180,7.820,98.420,1.580,25.56,224,0.875,bilinear
ese_vovnet19b_dw,92.020,7.980,98.520,1.480,6.54,224,0.875,bicubic mobilenetv2_140,92.110,7.890,98.250,1.750,6.11,224,0.875,bicubic
densenet121,91.940,8.060,98.280,1.720,7.98,224,0.875,bicubic resnet26d,92.100,7.900,98.460,1.540,16.01,224,0.875,bicubic
regnety_008,91.890,8.110,98.420,1.580,6.26,224,0.875,bicubic ese_vovnet19b_dw,92.090,7.910,98.510,1.490,6.54,224,0.875,bicubic
mixnet_s,91.780,8.220,98.300,1.700,4.13,224,0.875,bicubic tf_efficientnet_es,92.080,7.920,98.460,1.540,5.44,224,0.875,bicubic
tf_mixnet_s,91.690,8.310,98.240,1.760,4.13,224,0.875,bicubic densenet121,91.950,8.050,98.180,1.820,7.98,224,0.875,bicubic
semnasnet_100,91.660,8.340,98.260,1.740,3.89,224,0.875,bicubic regnety_008,91.810,8.190,98.410,1.590,6.26,224,0.875,bicubic
regnety_006,91.590,8.410,98.430,1.570,6.06,224,0.875,bicubic mixnet_s,91.800,8.200,98.330,1.670,4.13,224,0.875,bicubic
mobilenetv3_rw,91.560,8.440,98.270,1.730,5.48,224,0.875,bicubic tf_mixnet_s,91.660,8.340,98.160,1.840,4.13,224,0.875,bicubic
mobilenetv3_large_100,91.480,8.520,98.330,1.670,5.48,224,0.875,bicubic semnasnet_100,91.620,8.380,98.310,1.690,3.89,224,0.875,bicubic
legacy_seresnet34,91.470,8.530,98.200,1.800,21.96,224,0.875,bilinear repvgg_b0,91.600,8.400,98.450,1.550,15.82,224,0.875,bilinear
resnet26,91.450,8.550,98.280,1.720,16.00,224,0.875,bicubic regnety_006,91.570,8.430,98.390,1.610,6.06,224,0.875,bicubic
tf_mobilenetv3_large_100,91.410,8.590,98.250,1.750,5.48,224,0.875,bilinear mobilenetv3_rw,91.550,8.450,98.340,1.660,5.48,224,0.875,bicubic
tv_densenet121,91.390,8.610,98.250,1.750,7.98,224,0.875,bicubic legacy_seresnet34,91.530,8.470,98.320,1.680,21.96,224,0.875,bilinear
mobilenetv2_110d,91.330,8.670,98.190,1.810,4.52,224,0.875,bicubic mobilenetv3_large_100,91.490,8.510,98.310,1.690,5.48,224,0.875,bicubic
tf_efficientnet_lite0,91.280,8.720,98.090,1.910,4.65,224,0.875,bicubic tv_densenet121,91.430,8.570,98.280,1.720,7.98,224,0.875,bicubic
dla34,91.260,8.740,98.180,1.820,15.74,224,0.875,bilinear tf_mobilenetv3_large_100,91.410,8.590,98.290,1.710,5.48,224,0.875,bilinear
efficientnet_lite0,91.260,8.740,98.250,1.750,4.65,224,0.875,bicubic resnet26,91.390,8.610,98.360,1.640,16.00,224,0.875,bicubic
fbnetc_100,91.260,8.740,97.820,2.180,5.57,224,0.875,bilinear regnetx_008,91.340,8.660,98.350,1.650,7.26,224,0.875,bicubic
regnetx_008,91.210,8.790,98.370,1.630,7.26,224,0.875,bicubic resnet34,91.330,8.670,98.160,1.840,21.80,224,0.875,bilinear
mnasnet_100,91.200,8.800,98.040,1.960,4.38,224,0.875,bicubic hrnet_w18_small_v2,91.290,8.710,98.400,1.600,15.60,224,0.875,bilinear
resnet34,91.190,8.810,98.230,1.770,21.80,224,0.875,bilinear tf_efficientnet_lite0,91.280,8.720,98.060,1.940,4.65,224,0.875,bicubic
hrnet_w18_small_v2,91.170,8.830,98.360,1.640,15.60,224,0.875,bilinear dla34,91.230,8.770,98.140,1.860,15.74,224,0.875,bilinear
resnest14d,91.140,8.860,98.350,1.650,10.61,224,0.875,bilinear efficientnet_lite0,91.220,8.780,98.190,1.810,4.65,224,0.875,bicubic
gluon_resnet34_v1b,91.090,8.910,98.180,1.820,21.80,224,0.875,bicubic mnasnet_100,91.210,8.790,98.030,1.970,4.38,224,0.875,bicubic
swsl_resnet18,91.090,8.910,98.210,1.790,11.69,224,0.875,bilinear resnest14d,91.170,8.830,98.300,1.700,10.61,224,0.875,bilinear
regnety_004,90.760,9.240,98.080,1.920,4.34,224,0.875,bicubic fbnetc_100,91.140,8.860,97.870,2.130,5.57,224,0.875,bilinear
regnetx_006,90.750,9.250,98.100,1.900,6.20,224,0.875,bicubic swsl_resnet18,91.130,8.870,98.230,1.770,11.69,224,0.875,bilinear
ssl_resnet18,90.700,9.300,98.030,1.970,11.69,224,0.875,bilinear vgg19_bn,91.120,8.880,98.160,1.840,143.68,224,0.875,bilinear
spnasnet_100,90.620,9.380,97.950,2.050,4.42,224,0.875,bilinear vit_deit_tiny_distilled_patch16_224,91.120,8.880,98.310,1.690,5.91,224,0.900,bicubic
tf_mobilenetv3_large_075,90.310,9.690,97.880,2.120,3.99,224,0.875,bilinear mobilenetv2_110d,91.100,8.900,98.140,1.860,4.52,224,0.875,bicubic
tv_resnet34,90.310,9.690,97.970,2.030,21.80,224,0.875,bilinear gluon_resnet34_v1b,91.020,8.980,98.140,1.860,21.80,224,0.875,bicubic
skresnet18,90.160,9.840,97.780,2.220,11.96,224,0.875,bicubic regnetx_006,90.920,9.080,98.070,1.930,6.20,224,0.875,bicubic
resnet18d,90.000,10.000,97.840,2.160,11.71,224,0.875,bicubic ssl_resnet18,90.840,9.160,98.020,1.980,11.69,224,0.875,bilinear
hrnet_w18_small,89.900,10.100,97.900,2.100,13.19,224,0.875,bilinear regnety_004,90.750,9.250,98.070,1.930,4.34,224,0.875,bicubic
mobilenetv2_100,89.840,10.160,97.840,2.160,3.50,224,0.875,bicubic spnasnet_100,90.640,9.360,97.920,2.080,4.42,224,0.875,bilinear
regnetx_004,89.450,10.550,97.780,2.220,5.16,224,0.875,bicubic vgg16_bn,90.620,9.380,98.050,1.950,138.37,224,0.875,bilinear
legacy_seresnet18,89.260,10.740,97.690,2.310,11.78,224,0.875,bicubic tv_resnet34,90.390,9.610,97.930,2.070,21.80,224,0.875,bilinear
tf_mobilenetv3_large_minimal_100,89.160,10.840,97.320,2.680,3.92,224,0.875,bilinear tf_mobilenetv3_large_075,90.360,9.640,97.840,2.160,3.99,224,0.875,bilinear
gluon_resnet18_v1b,88.670,11.330,97.110,2.890,11.69,224,0.875,bicubic skresnet18,90.180,9.820,97.860,2.140,11.96,224,0.875,bicubic
regnety_002,88.220,11.780,97.430,2.570,3.16,224,0.875,bicubic mobilenetv2_100,89.890,10.110,97.850,2.150,3.50,224,0.875,bicubic
resnet18,88.170,11.830,97.120,2.880,11.69,224,0.875,bilinear resnet18d,89.860,10.140,97.900,2.100,11.71,224,0.875,bicubic
regnetx_002,87.370,12.630,96.990,3.010,2.68,224,0.875,bicubic vgg19,89.690,10.310,97.580,2.420,143.67,224,0.875,bilinear
dla60x_c,87.080,12.920,97.140,2.860,1.32,224,0.875,bilinear hrnet_w18_small,89.640,10.360,97.840,2.160,13.19,224,0.875,bilinear
tf_mobilenetv3_small_100,85.980,14.020,96.400,3.600,2.54,224,0.875,bilinear vit_deit_tiny_patch16_224,89.630,10.370,97.930,2.070,5.72,224,0.900,bicubic
dla46x_c,85.470,14.530,96.450,3.550,1.07,224,0.875,bilinear regnetx_004,89.610,10.390,97.780,2.220,5.16,224,0.875,bicubic
dla46_c,84.710,15.290,96.210,3.790,1.30,224,0.875,bilinear vgg16,89.490,10.510,97.530,2.470,138.36,224,0.875,bilinear
tf_mobilenetv3_small_075,84.530,15.470,95.880,4.120,2.04,224,0.875,bilinear legacy_seresnet18,89.290,10.710,97.790,2.210,11.78,224,0.875,bicubic
tf_mobilenetv3_small_minimal_100,82.670,17.330,95.000,5.000,2.04,224,0.875,bilinear tf_mobilenetv3_large_minimal_100,89.290,10.710,97.380,2.620,3.92,224,0.875,bilinear
pnasnet5large,17.870,82.130,42.120,57.880,86.06,331,0.911,bicubic vgg13_bn,89.200,10.800,97.640,2.360,133.05,224,0.875,bilinear
inception_resnet_v2,16.790,83.210,38.850,61.150,55.85,299,0.897,bicubic gluon_resnet18_v1b,88.770,11.230,97.080,2.920,11.69,224,0.875,bicubic
inception_v4,16.540,83.460,37.380,62.620,42.68,299,0.875,bicubic vgg11_bn,88.310,11.690,97.290,2.710,132.87,224,0.875,bilinear
ens_adv_inception_resnet_v2,16.240,83.760,40.390,59.610,55.85,299,0.897,bicubic regnety_002,88.180,11.820,97.430,2.570,3.16,224,0.875,bicubic
resnet18,88.050,11.950,97.110,2.890,11.69,224,0.875,bilinear
vgg13,87.560,12.440,97.160,2.840,133.05,224,0.875,bilinear
vgg11,87.370,12.630,97.010,2.990,132.86,224,0.875,bilinear
regnetx_002,87.210,12.790,96.900,3.100,2.68,224,0.875,bicubic
dla60x_c,87.190,12.810,97.090,2.910,1.32,224,0.875,bilinear
tf_mobilenetv3_small_100,85.870,14.130,96.310,3.690,2.54,224,0.875,bilinear
dla46x_c,85.690,14.310,96.460,3.540,1.07,224,0.875,bilinear
tf_mobilenetv3_small_075,84.770,15.230,95.880,4.120,2.04,224,0.875,bilinear
dla46_c,84.690,15.310,96.220,3.780,1.30,224,0.875,bilinear
tf_mobilenetv3_small_minimal_100,82.770,17.230,95.080,4.920,2.04,224,0.875,bilinear

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
2 tf_efficientnet_l2_ns 97.770 97.760 2.230 2.240 99.890 99.880 0.110 0.120 480.31 800 0.960 bicubic
3 tf_efficientnet_l2_ns_475 97.750 97.760 2.250 2.240 99.820 0.180 480.31 475 0.936 bicubic
4 tf_efficientnet_b7_ns 97.210 97.200 2.790 2.800 99.700 0.300 66.35 600 0.949 bicubic
5 tf_efficientnet_b6_ns 97.030 97.010 2.970 2.990 99.710 0.290 43.04 528 0.942 bicubic
6 ig_resnext101_32x48d 96.960 96.980 3.040 3.020 99.670 99.660 0.330 0.340 828.41 224 0.875 bilinear
7 resnetv2_152x4_bitm dm_nfnet_f6 96.880 96.970 3.120 3.030 99.660 99.740 0.340 0.260 936.53 438.36 480 576 1.000 0.956 bilinear bicubic
8 tf_efficientnet_b5_ns 96.880 3.120 99.640 0.360 30.39 456 0.934 bicubic
9 ig_resnext101_32x32d resnetv2_152x4_bitm 96.780 96.860 3.220 3.140 99.530 99.660 0.470 0.340 468.53 936.53 224 480 0.875 1.000 bilinear
10 tf_efficientnet_b4_ns ig_resnext101_32x32d 96.710 96.850 3.290 3.150 99.640 99.520 0.360 0.480 19.34 468.53 380 224 0.922 0.875 bicubic bilinear
11 tf_efficientnet_b8 dm_nfnet_f4 96.700 96.800 3.300 3.200 99.550 99.640 0.450 0.360 87.41 316.07 672 512 0.954 0.951 bicubic
12 tf_efficientnet_b7 dm_nfnet_f5 96.580 96.720 3.420 3.280 99.510 99.680 0.490 0.320 66.35 377.21 600 544 0.949 0.954 bicubic
13 tf_efficientnet_b8_ap tf_efficientnet_b8 96.560 96.700 3.440 3.300 99.550 99.520 0.450 0.480 87.41 672 0.954 bicubic
14 resnetv2_152x2_bitm tf_efficientnet_b4_ns 96.490 96.680 3.510 3.320 99.620 99.680 0.380 0.320 236.34 19.34 480 380 1.000 0.922 bilinear bicubic
15 vit_base_resnet50_384 dm_nfnet_f3 96.470 96.660 3.530 3.340 99.660 99.640 0.340 0.360 98.95 254.92 384 416 1.000 0.940 bicubic
16 ig_resnext101_32x16d tf_efficientnet_b7 96.430 96.580 3.570 3.420 99.540 99.520 0.460 0.480 194.03 66.35 224 600 0.875 0.949 bilinear bicubic
17 resnetv2_101x3_bitm tf_efficientnet_b8_ap 96.380 96.560 3.620 3.440 99.600 99.540 0.400 0.460 387.93 87.41 480 672 1.000 0.954 bilinear bicubic
18 vit_large_patch16_384 resnetv2_152x2_bitm 96.360 96.510 3.640 3.490 99.630 99.620 0.370 0.380 304.72 236.34 384 480 1.000 bicubic bilinear
19 tf_efficientnet_b6_ap vit_deit_base_distilled_patch16_384 96.360 96.490 3.640 3.510 99.550 99.590 0.450 0.410 43.04 87.63 528 384 0.942 1.000 bicubic
20 tf_efficientnet_b7_ap vit_base_resnet50_384 96.350 96.460 3.650 3.540 99.600 99.670 0.400 0.330 66.35 98.95 600 384 0.949 1.000 bicubic
21 seresnet152d_320 dm_nfnet_f2 96.330 96.460 3.670 3.540 99.510 99.560 0.490 0.440 66.84 193.78 320 352 1.000 0.920 bicubic
22 tf_efficientnet_b6 ecaresnet269d 96.280 96.420 3.720 3.580 99.520 99.640 0.480 0.360 43.04 102.09 528 352 0.942 1.000 bicubic
23 swsl_resnext101_32x16d ig_resnext101_32x16d 96.270 96.380 3.730 3.620 99.500 99.560 0.500 0.440 194.03 224 0.875 bilinear
24 swsl_resnext101_32x8d vit_large_patch16_384 96.220 96.380 3.780 3.620 99.590 99.640 0.410 0.360 88.79 304.72 224 384 0.875 1.000 bilinear bicubic
25 resnetv2_50x3_bitm tf_efficientnet_b6_ap 96.170 96.370 3.830 3.630 99.620 99.550 0.380 0.450 217.32 43.04 480 528 1.000 0.942 bilinear bicubic
26 vit_base_patch16_384 resnetv2_101x3_bitm 96.170 96.350 3.830 3.650 99.520 99.600 0.480 0.400 86.86 387.93 384 480 1.000 bicubic bilinear
27 resnest269e tf_efficientnet_b7_ap 96.120 96.350 3.880 3.650 99.520 99.590 0.480 0.410 110.93 66.35 416 600 0.928 0.949 bicubic
28 resnet200d_320 dm_nfnet_f1 96.110 96.340 3.890 3.660 99.460 0.540 64.69 132.63 320 1.000 0.910 bicubic
29 tf_efficientnet_b3_ns tf_efficientnet_b6 96.110 96.320 3.890 3.680 99.470 99.530 0.530 0.470 12.23 43.04 300 528 0.904 0.942 bicubic
30 resnest200e swsl_resnext101_32x16d 96.080 96.290 3.920 3.710 99.470 99.540 0.530 0.460 70.20 194.03 320 224 0.909 0.875 bicubic bilinear
31 seresnet152d 96.280 3.720 99.510 0.490 66.84 320 1.000 bicubic
32 swsl_resnext101_32x8d 96.270 3.730 99.590 0.410 88.79 224 0.875 bilinear
33 vit_base_patch16_384 96.190 3.810 99.550 0.450 86.86 384 1.000 bicubic
34 resnest269e 96.140 3.860 99.540 0.460 110.93 416 0.928 bicubic
35 resnet200d 96.130 3.870 99.440 0.560 64.69 320 1.000 bicubic
36 resnetv2_50x3_bitm 96.130 3.870 99.620 0.380 217.32 480 1.000 bilinear
37 resnest200e 96.080 3.920 99.450 0.550 70.20 320 0.909 bicubic
38 tf_efficientnet_b5_ap 96.080 3.920 99.540 0.460 30.39 456 0.934 bicubic
39 swsl_resnext101_32x4d tf_efficientnet_b3_ns 96.060 96.040 3.940 3.960 99.540 99.460 0.460 0.540 44.18 12.23 224 300 0.875 0.904 bilinear bicubic
40 tf_efficientnet_b5 swsl_resnext101_32x4d 95.980 96.030 4.020 3.970 99.450 99.540 0.550 0.460 30.39 44.18 456 224 0.934 0.875 bicubic bilinear
41 ig_resnext101_32x8d tf_efficientnet_b5 95.940 95.970 4.060 4.030 99.390 99.460 0.610 0.540 88.79 30.39 224 456 0.875 0.934 bilinear bicubic
42 seresnet152d ig_resnext101_32x8d 95.940 95.880 4.060 4.120 99.400 99.350 0.600 0.650 66.84 88.79 256 224 0.940 0.875 bicubic bilinear
43 resnet152d_320 resnet152d 95.850 95.870 4.150 4.130 99.430 99.420 0.570 0.580 60.21 320 1.000 bicubic
44 resnet101d_320 resnet101d 95.750 95.740 4.250 4.260 99.440 99.420 0.560 0.580 44.57 320 1.000 bicubic
45 resnet200d vit_deit_base_distilled_patch16_224 95.700 95.730 4.300 4.270 99.340 99.290 0.660 0.710 64.69 87.34 256 224 0.940 0.900 bicubic
46 swsl_resnext50_32x4d dm_nfnet_f0 95.610 95.650 4.390 4.350 99.440 99.300 0.560 0.700 25.03 71.49 224 256 0.875 0.900 bilinear bicubic
47 resnest101e swsl_resnext50_32x4d 95.590 95.630 4.410 4.370 99.270 99.450 0.730 0.550 48.28 25.03 256 224 0.875 bilinear
48 tf_efficientnet_b4 vit_deit_base_patch16_384 95.590 95.620 4.410 4.380 99.320 99.240 0.680 0.760 19.34 86.86 380 384 0.922 1.000 bicubic
49 tf_efficientnet_b2_ns tf_efficientnet_b4 95.530 95.580 4.470 4.420 99.340 99.290 0.660 0.710 9.11 19.34 260 380 0.890 0.922 bicubic
50 resnest101e 95.560 4.440 99.280 0.720 48.28 256 0.875 bilinear
51 tresnet_xl_448 95.520 4.480 99.340 0.660 78.44 448 0.875 bilinear
52 resnetv2_101x1_bitm tf_efficientnet_b4_ap 95.500 95.520 4.500 4.480 99.510 99.420 0.490 0.580 44.54 19.34 480 380 1.000 0.922 bilinear bicubic
53 tf_efficientnet_b4_ap resnetv2_101x1_bitm 95.500 95.510 4.500 4.490 99.390 99.520 0.610 0.480 19.34 44.54 380 480 0.922 1.000 bicubic bilinear
54 resnet152d ssl_resnext101_32x16d 95.470 4.530 99.300 99.410 0.700 0.590 60.21 194.03 256 224 0.940 0.875 bicubic bilinear
55 ssl_resnext101_32x16d tf_efficientnet_b2_ns 95.400 95.460 4.600 4.540 99.410 99.390 0.590 0.610 194.03 9.11 224 260 0.875 0.890 bilinear bicubic
56 tresnet_l_448 95.400 95.420 4.600 4.580 99.280 99.300 0.720 0.700 55.99 448 0.875 bilinear
57 ssl_resnext101_32x8d pnasnet5large 95.330 95.370 4.670 4.630 99.320 99.120 0.680 0.880 88.79 86.06 224 331 0.875 0.911 bilinear bicubic
58 vit_large_patch16_224 nasnetalarge 95.290 95.320 4.710 4.680 99.310 99.140 0.690 0.860 304.33 88.75 224 331 0.900 0.911 bicubic
59 resnet101d swsl_resnet50 95.280 95.290 4.720 4.710 99.260 99.350 0.740 0.650 44.57 25.56 256 224 0.940 0.875 bicubic bilinear
60 vit_base_patch32_384 vit_base_patch16_224 95.250 95.290 4.750 4.710 99.180 99.230 0.820 0.770 88.30 86.57 384 224 1.000 0.900 bicubic
61 vit_base_patch16_224 ssl_resnext101_32x8d 95.220 95.290 4.780 4.710 99.240 99.310 0.760 0.690 86.57 88.79 224 0.900 0.875 bicubic bilinear
62 swsl_resnet50 vit_large_patch16_224 95.220 95.280 4.780 4.720 99.400 99.310 0.600 0.690 25.56 304.33 224 0.875 0.900 bilinear bicubic
63 nasnetalarge vit_base_patch32_384 95.170 95.270 4.830 4.730 99.130 99.190 0.870 0.810 88.75 88.30 331 384 0.911 1.000 bicubic
64 ecaresnet101d vit_large_patch32_384 95.160 95.240 4.840 4.760 99.230 99.310 0.770 0.690 44.57 306.63 224 384 0.875 1.000 bicubic
65 ssl_resnext101_32x4d ecaresnet101d 95.160 95.210 4.840 4.790 99.300 99.240 0.700 0.760 44.18 44.57 224 0.875 bilinear bicubic
66 efficientnet_b3a 95.150 95.170 4.850 4.830 99.210 99.220 0.790 0.780 12.23 320 1.000 bicubic
67 regnety_032 ssl_resnext101_32x4d 95.070 95.150 4.930 4.850 99.210 99.320 0.790 0.680 19.44 44.18 224 0.875 bicubic bilinear
68 tresnet_xl regnety_032 95.070 95.130 4.930 4.870 99.250 99.220 0.750 0.780 78.44 19.44 224 0.875 bilinear bicubic
69 efficientnet_b3 ecaresnet50t 94.970 95.080 5.030 4.920 99.240 99.270 0.760 0.730 12.23 25.57 300 320 0.904 0.950 bicubic
70 tf_efficientnet_b3_ap tresnet_xl 94.960 94.990 5.040 5.010 99.110 99.220 0.890 0.780 12.23 78.44 300 224 0.904 0.875 bicubic bilinear
71 tf_efficientnet_b3 vit_deit_base_patch16_224 94.910 94.970 5.090 5.030 99.100 99.000 0.900 1.000 12.23 86.57 300 224 0.904 0.900 bicubic
72 tresnet_l gernet_l 94.900 94.940 5.100 5.060 99.030 99.180 0.970 0.820 55.99 31.08 224 256 0.875 bilinear
73 tf_efficientnet_b1_ns tf_efficientnet_b3 94.880 94.900 5.120 5.100 99.250 99.140 0.750 0.860 7.79 12.23 240 300 0.882 0.904 bicubic
74 tf_efficientnet_lite4 efficientnet_b3 94.870 94.890 5.130 5.110 99.090 99.190 0.910 0.810 13.01 12.23 380 300 0.920 0.904 bilinear bicubic
75 seresnext50_32x4d tf_efficientnet_b3_ap 94.810 94.890 5.190 5.110 99.130 0.870 27.56 12.23 224 300 0.875 0.904 bicubic
76 legacy_senet154 tf_efficientnet_lite4 94.730 94.880 5.270 5.120 99.100 99.110 0.900 0.890 115.09 13.01 224 380 0.875 0.920 bilinear
77 gluon_senet154 tf_efficientnet_b1_ns 94.710 94.850 5.290 5.150 98.970 99.240 1.030 0.760 115.09 7.79 224 240 0.875 0.882 bicubic
78 resnest50d_4s2x40d tresnet_l 94.710 94.830 5.290 5.170 99.130 99.060 0.870 0.940 30.42 55.99 224 0.875 bicubic bilinear
79 ssl_resnext50_32x4d seresnext50_32x4d 94.700 94.770 5.300 5.230 99.240 99.120 0.760 0.880 25.03 27.56 224 0.875 bilinear bicubic
80 gluon_resnet152_v1s legacy_senet154 94.700 94.760 5.300 5.240 99.050 99.100 0.950 0.900 60.32 115.09 224 0.875 bicubic bilinear
81 rexnet_200 resnest50d_4s2x40d 94.670 94.720 5.330 5.280 99.090 99.130 0.910 0.870 16.37 30.42 224 0.875 bicubic
82 tresnet_m_448 ssl_resnext50_32x4d 94.670 94.720 5.330 5.280 99.170 99.190 0.830 0.810 31.39 25.03 448 224 0.875 bilinear
83 wide_resnet50_2 94.660 94.690 5.340 5.310 99.050 99.090 0.950 0.910 68.88 224 0.875 bicubic
84 gluon_seresnext101_64x4d tresnet_m_448 94.630 94.670 5.370 5.330 98.970 99.140 1.030 0.860 88.23 31.39 224 448 0.875 bicubic bilinear
85 resnest50d gluon_resnet152_v1s 94.620 94.650 5.380 5.350 99.030 99.070 0.970 0.930 27.48 60.32 224 0.875 bilinear bicubic
86 efficientnet_b3_pruned gluon_senet154 94.580 94.650 5.420 5.350 99.070 98.990 0.930 1.010 9.86 115.09 300 224 0.904 0.875 bicubic
87 resnetv2_50x1_bitm repvgg_b3 94.530 94.630 5.470 5.370 99.240 98.990 0.760 1.010 25.55 123.09 480 224 1.000 0.875 bilinear
88 regnety_320 rexnet_200 94.500 94.600 5.500 5.400 99.170 99.060 0.830 0.940 145.05 16.37 224 0.875 bicubic
89 tf_efficientnet_el repvgg_b3g4 94.470 94.570 5.530 5.430 99.080 99.000 0.920 1.000 10.59 83.83 300 224 0.904 0.875 bicubic bilinear
90 gluon_resnet152_v1d vit_deit_small_distilled_patch16_224 94.450 94.570 5.550 5.430 99.000 99.100 1.000 0.900 60.21 22.44 224 0.875 0.900 bicubic
91 ecaresnet101d_pruned efficientnet_b3_pruned 94.440 94.550 5.560 5.450 99.100 99.060 0.900 0.940 24.88 9.86 224 300 0.875 0.904 bicubic
92 gluon_seresnext101_32x4d gluon_seresnext101_64x4d 94.430 94.500 5.570 5.500 99.090 98.970 0.910 1.030 48.96 88.23 224 0.875 bicubic
93 resnest50d_1s4x24d regnety_320 94.390 94.500 5.610 5.500 99.060 99.150 0.940 0.850 25.68 145.05 224 0.875 bicubic
94 efficientnet_b2a resnetv2_50x1_bitm 94.370 94.500 5.630 5.500 99.050 99.260 0.950 0.740 9.11 25.55 288 480 1.000 bicubic bilinear
95 efficientnet_b2 resnest50d 94.340 94.490 5.660 5.510 99.100 99.000 0.900 1.000 9.11 27.48 260 224 0.875 bicubic bilinear
96 gluon_resnext101_64x4d gernet_m 94.330 94.480 5.670 5.520 98.880 98.910 1.120 1.090 83.46 21.14 224 0.875 bicubic bilinear
97 ssl_resnet50 gluon_resnet152_v1d 94.320 94.470 5.680 5.530 99.160 98.990 0.840 1.010 25.56 60.21 224 0.875 bilinear bicubic
98 regnetx_120 ecaresnet101d_pruned 94.300 94.460 5.700 5.540 99.200 99.130 0.800 0.870 46.11 24.88 224 0.875 bicubic
99 rexnet_150 tf_efficientnet_el 94.280 94.450 5.720 5.550 99.090 99.100 0.910 0.900 9.73 10.59 224 300 0.875 0.904 bicubic
100 tf_efficientnet_b2_ap nf_resnet50 94.270 94.420 5.730 5.580 98.950 99.100 1.050 0.900 9.11 25.56 260 288 0.890 0.940 bicubic
101 mixnet_xl efficientnet_b2a 94.220 94.400 5.780 5.600 98.820 99.050 1.180 0.950 11.90 9.11 224 288 0.875 1.000 bicubic
102 dpn92 gluon_seresnext101_32x4d 94.200 94.400 5.800 5.600 98.930 99.110 1.070 0.890 37.67 48.96 224 0.875 bicubic
103 ecaresnet50d inception_v4 94.200 94.390 5.800 5.610 99.020 98.830 0.980 1.170 25.58 42.68 224 299 0.875 bicubic
104 regnetx_320 tf_efficientnet_b2_ap 94.200 94.360 5.800 5.640 99.050 98.970 0.950 1.030 107.81 9.11 224 260 0.875 0.890 bicubic
105 tf_efficientnet_b2 gluon_resnext101_64x4d 94.200 94.350 5.800 5.650 99.030 98.830 0.970 1.170 9.11 83.46 260 224 0.890 0.875 bicubic
106 gluon_seresnext50_32x4d efficientnet_b2 94.180 94.340 5.820 5.660 98.910 99.120 1.090 0.880 27.56 9.11 224 260 0.875 bicubic
107 gluon_resnet101_v1s resnest50d_1s4x24d 94.180 94.340 5.820 5.660 99.020 99.060 0.980 0.940 44.67 25.68 224 0.875 bicubic
108 legacy_seresnext101_32x4d gluon_resnet101_v1s 94.170 94.290 5.830 5.710 98.970 99.040 1.030 0.960 48.96 44.67 224 0.875 bilinear bicubic
109 gluon_resnet101_v1d rexnet_150 94.160 94.280 5.840 5.720 98.950 99.070 1.050 0.930 44.57 9.73 224 0.875 bicubic
110 ecaresnetlight regnety_160 94.140 94.280 5.860 5.720 98.950 99.020 1.050 0.980 30.16 83.59 224 0.875 bicubic
111 regnety_064 inception_resnet_v2 94.140 94.260 5.860 5.740 99.030 98.830 0.970 1.170 30.58 55.84 224 299 0.875 0.897 bicubic
112 gluon_resnext101_32x4d mixnet_xl 94.120 94.250 5.880 5.750 98.930 98.840 1.070 1.160 44.18 11.90 224 0.875 bicubic
113 tf_efficientnet_lite3 ssl_resnet50 94.120 94.250 5.880 5.750 98.960 99.080 1.040 0.920 8.20 25.56 300 224 0.904 0.875 bilinear
114 regnety_160 dpn92 94.110 94.240 5.890 5.760 99.010 98.950 0.990 1.050 83.59 37.67 224 0.875 bicubic
115 cspdarknet53 regnetx_120 94.100 94.240 5.900 5.760 98.980 99.190 1.020 0.810 27.64 46.11 256 224 0.887 0.875 bilinear bicubic
116 seresnet50 regnetx_320 94.080 94.230 5.920 5.770 98.970 99.060 1.030 0.940 28.09 107.81 224 0.875 bicubic
117 tresnet_m gluon_resnext101_32x4d 94.080 94.190 5.920 5.810 98.830 98.920 1.170 1.080 31.39 44.18 224 0.875 bilinear bicubic
118 resnet50d tf_efficientnet_b2 94.070 94.190 5.930 5.810 98.920 99.030 1.080 0.970 25.58 9.11 224 260 0.875 0.890 bicubic
119 regnety_120 tf_efficientnet_lite3 94.060 94.140 5.940 5.860 99.020 98.940 0.980 1.060 51.82 8.20 224 300 0.875 0.904 bicubic bilinear
120 gluon_xception65 ecaresnet50d 94.030 94.140 5.970 5.860 99.030 0.970 39.92 25.58 299 224 0.903 0.875 bicubic
121 hrnet_w48 ecaresnetlight 94.030 94.120 5.970 5.880 99.030 98.940 0.970 1.060 77.47 30.16 224 0.875 bilinear bicubic
122 gluon_resnet152_v1b gluon_resnet101_v1d 94.020 94.120 5.980 5.880 98.740 98.920 1.260 1.080 60.19 44.57 224 0.875 bicubic
123 dla102x2 legacy_seresnext101_32x4d 94.020 94.110 5.980 5.890 99.030 98.950 0.970 1.050 41.28 48.96 224 0.875 bilinear
124 dpn107 regnety_064 93.960 94.110 6.040 5.890 98.850 99.020 1.150 0.980 86.92 30.58 224 0.875 bicubic
125 dpn98 resnet50d 93.950 94.110 6.050 5.890 98.920 98.960 1.080 1.040 61.57 25.58 224 0.875 bicubic
126 skresnext50_32x4d seresnet50 93.950 94.100 6.050 5.900 98.820 98.980 1.180 1.020 27.48 28.09 224 0.875 bicubic
127 regnety_080 cspdarknet53 93.900 94.090 6.100 5.910 98.990 98.970 1.010 1.030 39.18 27.64 224 256 0.875 0.887 bicubic bilinear
128 xception71 ens_adv_inception_resnet_v2 93.900 94.070 6.100 5.930 98.950 98.790 1.050 1.210 42.34 55.84 299 0.903 0.897 bicubic
129 regnetx_160 gluon_seresnext50_32x4d 93.890 94.040 6.110 5.960 99.080 98.900 0.920 1.100 54.28 27.56 224 0.875 bicubic
130 gluon_resnet152_v1c dla102x2 93.870 94.040 6.130 5.960 98.800 99.070 1.200 0.930 60.21 41.28 224 0.875 bicubic bilinear
131 ese_vovnet39b tresnet_m 93.850 94.020 6.150 5.980 98.900 98.820 1.100 1.180 24.57 31.39 224 0.875 bicubic bilinear
132 cspresnet50 gluon_xception65 93.850 94.010 6.150 5.990 98.880 99.010 1.120 0.990 21.62 39.92 256 299 0.887 0.903 bilinear bicubic
133 hrnet_w64 regnetx_160 93.850 94.010 6.150 5.990 98.920 99.120 1.080 0.880 128.06 54.28 224 0.875 bilinear bicubic
134 resnext50_32x4d gluon_resnet152_v1b 93.850 94.000 6.150 6.000 98.830 98.770 1.170 1.230 25.03 60.19 224 0.875 bicubic
135 ecaresnet50d_pruned dpn107 93.820 93.990 6.180 6.010 99.000 98.870 1.000 1.130 19.94 86.92 224 0.875 bicubic
136 resnext50d_32x4d 93.800 93.990 6.200 6.010 98.720 98.790 1.280 1.210 25.05 224 0.875 bicubic
137 efficientnet_b2_pruned regnety_120 93.800 93.960 6.200 6.040 98.910 99.060 1.090 0.940 8.31 51.82 260 224 0.890 0.875 bicubic
138 regnetx_080 hrnet_w64 93.790 93.950 6.210 6.050 98.910 98.960 1.090 1.040 39.57 128.06 224 0.875 bicubic bilinear
139 dla169 ese_vovnet39b 93.780 93.940 6.220 6.060 98.840 98.930 1.160 1.070 53.39 24.57 224 0.875 bilinear bicubic
140 gluon_resnet101_v1b hrnet_w48 93.770 93.930 6.230 6.070 98.710 99.020 1.290 0.980 44.55 77.47 224 0.875 bicubic bilinear
141 resnext101_32x8d ecaresnet26t 93.770 93.920 6.230 6.080 98.950 98.940 1.050 1.060 88.79 16.01 224 320 0.875 0.950 bilinear bicubic
142 dpn131 efficientnet_b2_pruned 93.760 93.920 6.240 6.080 98.810 98.910 1.190 1.090 79.25 8.31 224 260 0.875 0.890 bicubic
143 tf_efficientnet_b0_ns regnetx_080 93.760 93.910 6.240 6.090 98.980 98.910 1.020 1.090 5.29 39.57 224 0.875 bicubic
144 cspresnext50 dpn98 93.750 93.900 6.250 6.100 98.840 98.930 1.160 1.070 20.57 61.57 224 0.875 bilinear bicubic
145 efficientnet_em gluon_resnet152_v1c 93.750 93.900 6.250 6.100 98.920 98.850 1.080 1.150 6.90 60.21 240 224 0.882 0.875 bicubic
146 xception65 skresnext50_32x4d 93.750 93.900 6.250 6.100 98.870 98.800 1.130 1.200 39.92 27.48 299 224 0.903 0.875 bicubic
147 wide_resnet101_2 xception71 93.730 93.890 6.270 6.110 98.810 98.950 1.190 1.050 126.89 42.34 224 299 0.875 0.903 bilinear bicubic
148 vit_deit_small_patch16_224 93.890 6.110 98.970 1.030 22.05 224 0.900 bicubic
149 repvgg_b2g4 93.890 6.110 98.920 1.080 61.76 224 0.875 bilinear
150 nf_regnet_b1 93.890 6.110 98.790 1.210 10.22 288 0.900 bicubic
151 resnext50_32x4d 93.850 6.150 98.790 1.210 25.03 224 0.875 bicubic
152 cspresnet50 93.840 6.160 98.900 1.100 21.62 256 0.887 bilinear
153 ecaresnet50d_pruned 93.840 6.160 98.980 1.020 19.94 224 0.875 bicubic
154 wide_resnet101_2 93.840 6.160 98.800 1.200 126.89 224 0.875 bilinear
155 cspresnext50 93.820 6.180 98.840 1.160 20.57 224 0.875 bilinear
156 resnext101_32x8d 93.820 6.180 98.950 1.050 88.79 224 0.875 bilinear
157 xception65 93.810 6.190 98.850 1.150 39.92 299 0.903 bicubic
158 regnety_080 93.800 6.200 99.000 1.000 39.18 224 0.875 bicubic
159 dpn131 93.770 6.230 98.800 1.200 79.25 224 0.875 bicubic
160 gluon_resnet101_v1c 93.750 6.250 98.800 1.200 44.57 224 0.875 bicubic
161 gluon_resnet101_v1b 93.750 6.250 98.720 1.280 44.55 224 0.875 bicubic
162 efficientnet_em 93.730 6.270 98.940 1.060 6.90 240 0.882 bicubic
163 resnetblur50 93.730 6.270 98.810 1.190 25.56 224 0.875 bicubic
164 regnetx_040 93.710 6.290 98.880 1.120 22.12 224 0.875 bicubic
165 tf_efficientnet_b1 93.710 6.290 98.800 1.200 7.79 240 0.882 bicubic
166 hrnet_w40 gluon_resnext50_32x4d 93.710 93.700 6.290 6.300 98.800 98.700 1.200 1.300 57.56 25.03 224 0.875 bilinear bicubic
167 resnetblur50 tf_efficientnet_b1_ap 93.710 93.680 6.290 6.320 98.800 98.810 1.200 1.190 25.56 7.79 224 240 0.875 0.882 bicubic
168 rexnet_130 xception 93.680 6.320 98.720 98.820 1.280 1.180 7.56 22.86 224 299 0.875 0.897 bicubic
169 regnetx_040 dla169 93.680 93.670 6.320 6.330 98.950 98.890 1.050 1.110 22.12 53.39 224 0.875 bicubic bilinear
170 gluon_resnext50_32x4d hrnet_w44 93.670 93.660 6.330 6.340 98.700 98.930 1.300 1.070 25.03 67.06 224 0.875 bicubic bilinear
171 gluon_resnet101_v1c regnetx_064 93.660 93.640 6.340 6.360 98.760 99.040 1.240 0.960 44.57 26.21 224 0.875 bicubic
172 regnetx_064 rexnet_130 93.650 93.620 6.350 6.380 99.050 98.720 0.950 1.280 26.21 7.56 224 0.875 bicubic
173 xception dpn68b 93.650 93.610 6.350 6.390 98.790 98.770 1.210 1.230 22.86 12.61 299 224 0.897 0.875 bicubic
174 tf_efficientnet_b1_ap regnety_040 93.640 93.600 6.360 6.400 98.780 98.990 1.220 1.010 7.79 20.65 240 224 0.882 0.875 bicubic
175 hrnet_w44 repvgg_b2 93.630 93.590 6.370 6.410 98.950 99.090 1.050 0.910 67.06 89.02 224 0.875 bilinear
176 regnety_040 res2net50_26w_8s 93.610 93.590 6.390 6.410 98.960 98.710 1.040 1.290 20.65 48.40 224 0.875 bicubic bilinear
177 dpn68b res2net101_26w_4s 93.600 93.590 6.400 6.410 98.710 98.700 1.290 1.300 12.61 45.21 224 0.875 bicubic bilinear
178 gluon_inception_v3 tf_efficientnet_b0_ns 93.590 93.580 6.410 6.420 98.840 99.010 1.160 0.990 23.83 5.29 299 224 0.875 bicubic
179 gluon_resnet50_v1s gluon_inception_v3 93.590 93.580 6.410 6.420 98.830 1.170 25.68 23.83 224 299 0.875 bicubic
180 tf_efficientnet_cc_b1_8e gluon_resnet50_v1s 93.580 93.560 6.420 6.440 98.690 98.820 1.310 1.180 39.72 25.68 240 224 0.882 0.875 bicubic
181 res2net50_26w_6s legacy_seresnext50_32x4d 93.570 93.560 6.430 6.440 98.750 1.250 37.05 27.56 224 0.875 bilinear
182 dla60_res2next tf_efficientnet_cc_b1_8e 93.560 6.440 98.800 98.680 1.200 1.320 17.03 39.72 224 240 0.875 0.882 bilinear bicubic
183 gluon_resnet50_v1d res2net50_26w_6s 93.550 6.450 98.710 98.800 1.290 1.200 25.58 37.05 224 0.875 bicubic bilinear
184 res2net101_26w_4s dla102x 93.520 93.530 6.480 6.470 98.630 98.860 1.370 1.140 45.21 26.31 224 0.875 bilinear
185 dla102x gluon_resnet50_v1d 93.510 93.530 6.490 6.470 98.850 98.830 1.150 1.170 26.31 25.58 224 0.875 bilinear bicubic
186 xception41 hrnet_w40 93.480 93.520 6.520 6.480 98.760 98.810 1.240 1.190 26.97 57.56 299 224 0.903 0.875 bicubic bilinear
187 selecsls60b xception41 93.480 93.510 6.520 6.490 98.840 98.750 1.160 1.250 32.77 26.97 224 299 0.875 0.903 bicubic
188 resnet50 93.480 93.500 6.520 6.500 98.590 98.580 1.410 1.420 25.56 224 0.875 bicubic
189 tf_efficientnet_em selecsls60b 93.470 93.450 6.530 6.550 98.750 98.850 1.250 1.150 6.90 32.77 240 224 0.882 0.875 bicubic
190 legacy_seresnet152 dla60_res2net 93.460 93.440 6.540 6.560 98.850 98.870 1.150 1.130 66.82 20.85 224 0.875 bilinear
191 res2net50_26w_8s repvgg_b1 93.450 93.440 6.550 6.560 98.710 98.740 1.290 1.260 48.40 57.42 224 0.875 bilinear
192 legacy_seresnext50_32x4d dla60_res2next 93.400 93.370 6.600 6.630 98.800 98.820 1.200 1.180 27.56 17.03 224 0.875 bilinear
193 dla60_res2net hrnet_w30 93.390 93.370 6.610 6.630 98.840 98.880 1.160 1.120 20.85 37.71 224 0.875 bilinear
194 hrnet_w30 regnetx_032 93.390 93.350 6.610 6.650 98.830 98.660 1.170 1.340 37.71 15.30 224 0.875 bilinear bicubic
195 dla102 legacy_seresnet152 93.300 93.330 6.700 6.670 98.780 98.760 1.220 1.240 33.27 66.82 224 0.875 bilinear
196 legacy_seresnet101 dla102 93.280 93.270 6.720 6.730 98.750 98.800 1.250 1.200 49.33 33.27 224 0.875 bilinear
197 mixnet_l legacy_seresnet101 93.280 93.250 6.720 6.750 98.710 98.760 1.290 1.240 7.33 49.33 224 0.875 bicubic bilinear
198 regnetx_032 tv_resnet152 93.270 93.220 6.730 6.780 98.740 98.790 1.260 1.210 15.30 60.19 224 0.875 bicubic bilinear
199 resnest26d res2net50_26w_4s 93.260 93.210 6.740 6.790 98.840 98.630 1.160 1.370 17.07 25.70 224 0.875 bilinear
200 tv_resnet152 tf_inception_v3 93.250 93.200 6.750 6.800 98.750 98.510 1.250 1.490 60.19 23.83 224 299 0.875 bilinear bicubic
201 tf_inception_v3 res2next50 93.210 93.180 6.790 6.820 98.480 98.670 1.520 1.330 23.83 24.67 299 224 0.875 bicubic bilinear
202 dla60x tf_efficientnet_em 93.210 93.160 6.790 6.840 98.720 98.670 1.280 1.330 17.35 6.90 224 240 0.875 0.882 bilinear bicubic
203 res2net50_26w_4s mixnet_l 93.180 93.150 6.820 6.850 98.670 98.680 1.330 1.320 25.70 7.33 224 0.875 bilinear bicubic
204 res2next50 resnest26d 93.130 93.150 6.870 6.850 98.660 98.900 1.340 1.100 24.67 17.07 224 0.875 bilinear
205 efficientnet_b1 93.060 93.100 6.940 6.900 98.530 98.590 1.470 1.410 7.79 240 0.875 bicubic
206 tf_mixnet_l dla60x 93.050 93.080 6.950 6.920 98.540 98.710 1.460 1.290 7.33 17.35 224 0.875 bicubic bilinear
207 regnety_016 93.030 93.070 6.970 6.930 98.690 98.740 1.310 1.260 11.20 224 0.875 bicubic
208 res2net50_14w_8s efficientnet_es 93.010 6.990 98.700 98.740 1.300 1.260 25.06 5.44 224 0.875 bilinear bicubic
209 selecsls60 tf_mixnet_l 93.010 6.990 98.830 98.540 1.170 1.460 30.67 7.33 224 0.875 bicubic
210 adv_inception_v3 efficientnet_b1_pruned 92.990 93.000 7.010 7.000 98.480 98.520 1.520 1.480 23.83 6.33 299 240 0.875 0.882 bicubic
211 seresnext26t_32x4d hrnet_w32 92.980 93.000 7.020 7.000 98.480 98.860 1.520 1.140 16.82 41.23 224 0.875 bicubic bilinear
212 efficientnet_b1_pruned densenet161 92.970 92.990 7.030 7.010 98.520 98.780 1.480 1.220 6.33 28.68 240 224 0.882 0.875 bicubic
213 hrnet_w32 gluon_resnet50_v1c 92.950 92.990 7.050 7.010 98.840 98.640 1.160 1.360 41.23 25.58 224 0.875 bilinear bicubic
214 efficientnet_es res2net50_14w_8s 92.930 92.980 7.070 7.020 98.680 98.620 1.320 1.380 5.44 25.06 224 0.875 bicubic bilinear
215 gluon_resnet50_v1c selecsls60 92.910 92.980 7.090 7.020 98.710 98.750 1.290 1.250 25.58 30.67 224 0.875 bicubic
216 tv_resnext50_32x4d inception_v3 92.910 92.970 7.090 7.030 98.730 98.330 1.270 1.670 25.03 23.83 224 299 0.875 bilinear bicubic
217 inception_v3 adv_inception_v3 92.900 92.960 7.100 7.040 98.320 98.500 1.680 1.500 23.83 299 0.875 bicubic
218 tv_resnet101 repvgg_b1g4 92.880 92.940 7.120 7.060 98.660 98.800 1.340 1.200 44.55 39.97 224 0.875 bilinear
219 densenet161 tv_resnet101 92.880 92.940 7.120 7.060 98.810 98.640 1.190 1.360 28.68 44.55 224 0.875 bicubic bilinear
220 tf_efficientnet_cc_b0_8e tv_resnext50_32x4d 92.860 92.940 7.140 7.060 98.460 98.720 1.540 1.280 24.01 25.03 224 0.875 bicubic bilinear
221 rexnet_100 hrnet_w18 92.850 92.860 7.150 7.140 98.620 98.690 1.380 1.310 4.80 21.30 224 0.875 bicubic bilinear
222 tf_efficientnet_cc_b0_4e tf_efficientnet_cc_b0_8e 92.840 92.850 7.160 7.150 98.440 98.480 1.560 1.520 13.31 24.01 224 0.875 bicubic
223 res2net50_48w_2s legacy_seresnet50 92.800 92.820 7.200 7.180 98.460 98.650 1.540 1.350 25.29 28.09 224 0.875 bilinear
224 seresnext26tn_32x4d mobilenetv2_120d 92.770 7.230 98.550 98.480 1.450 1.520 16.81 5.83 224 0.875 bicubic
225 hrnet_w18 rexnet_100 92.760 7.240 98.650 98.630 1.350 1.370 21.30 4.80 224 0.875 bilinear bicubic
226 dla60 tf_efficientnet_cc_b0_4e 92.690 92.740 7.310 7.260 98.630 98.520 1.370 1.480 22.04 13.31 224 0.875 bilinear bicubic
227 densenet201 seresnext26t_32x4d 92.690 92.740 7.310 7.260 98.660 98.550 1.340 1.450 20.01 16.81 224 0.875 bicubic
228 legacy_seresnet50 gluon_resnet50_v1b 92.670 92.730 7.330 7.270 98.660 98.560 1.340 1.440 28.09 25.56 224 0.875 bilinear bicubic
229 resnet34d dla60 92.640 92.710 7.360 7.290 98.440 98.650 1.560 1.350 21.82 22.04 224 0.875 bicubic bilinear
230 mobilenetv2_120d repvgg_a2 92.610 92.700 7.390 7.300 98.520 98.600 1.480 1.400 5.83 28.21 224 0.875 bicubic bilinear
231 vit_small_patch16_224 res2net50_48w_2s 92.610 92.670 7.390 7.330 98.390 98.460 1.610 1.540 48.75 25.29 224 0.900 0.875 bicubic bilinear
232 tf_efficientnet_b0_ap densenet201 92.600 92.660 7.400 7.340 98.370 98.680 1.630 1.320 5.29 20.01 224 0.875 bicubic
233 legacy_seresnext26_32x4d regnetx_016 92.580 92.620 7.420 7.380 98.430 98.530 1.570 1.470 16.79 9.19 224 0.875 bicubic
234 tf_efficientnet_lite2 vit_small_patch16_224 92.580 92.620 7.420 7.380 98.550 98.400 1.450 1.600 6.09 48.75 260 224 0.890 0.900 bicubic
235 skresnet34 resnet34d 92.560 92.610 7.440 7.390 98.510 98.430 1.490 1.570 22.28 21.82 224 0.875 bicubic
236 regnetx_016 tf_efficientnet_lite2 92.560 92.590 7.440 7.410 98.550 98.570 1.450 1.430 9.19 6.09 224 260 0.875 0.890 bicubic
237 gluon_resnet50_v1b tf_efficientnet_b0_ap 92.550 92.570 7.450 7.430 98.550 98.410 1.450 1.590 25.56 5.29 224 0.875 bicubic
238 tf_efficientnet_es efficientnet_b0 92.540 92.550 7.460 7.450 98.510 98.640 1.490 1.360 5.44 5.29 224 0.875 bicubic
239 selecsls42b legacy_seresnext26_32x4d 92.480 92.530 7.520 7.470 98.440 98.450 1.560 1.550 32.46 16.79 224 0.875 bicubic
240 efficientnet_b0 gernet_s 92.470 92.480 7.530 7.520 98.680 98.460 1.320 1.540 5.29 8.17 224 0.875 bicubic bilinear
241 seresnext26d_32x4d selecsls42b 92.440 92.470 7.560 7.530 98.540 98.510 1.460 1.490 16.81 32.46 224 0.875 bicubic
242 densenetblur121d seresnext26d_32x4d 92.400 92.440 7.600 7.560 98.420 98.550 1.580 1.450 8.00 16.81 224 0.875 bicubic
243 tf_efficientnet_b0 92.400 92.360 7.600 7.640 98.470 1.530 5.29 224 0.875 bicubic
244 tf_efficientnet_lite1 skresnet34 92.320 92.340 7.680 7.660 98.490 98.520 1.510 1.480 5.42 22.28 240 224 0.882 0.875 bicubic
245 densenet169 tf_efficientnet_lite1 92.300 92.330 7.700 7.670 98.590 98.510 1.410 1.490 14.15 5.42 224 240 0.875 0.882 bicubic
246 mixnet_m densenetblur121d 92.260 92.310 7.740 7.690 98.370 98.390 1.630 1.610 5.01 8.00 224 0.875 bicubic
247 dpn68 92.250 92.290 7.750 7.710 98.600 98.580 1.400 1.420 12.61 224 0.875 bicubic
248 resnet26d tf_mixnet_m 92.230 92.270 7.770 7.730 98.470 98.490 1.530 1.510 16.01 5.01 224 0.875 bicubic
249 tf_mixnet_m mixnet_m 92.170 92.210 7.830 7.790 98.420 98.360 1.580 1.640 5.01 224 0.875 bicubic
250 tv_resnet50 densenet169 92.130 92.200 7.870 7.800 98.420 98.570 1.580 1.430 25.56 14.15 224 0.875 bilinear bicubic
251 mobilenetv2_140 tv_resnet50 92.040 92.180 7.960 7.820 98.250 98.420 1.750 1.580 6.11 25.56 224 0.875 bicubic bilinear
252 ese_vovnet19b_dw mobilenetv2_140 92.020 92.110 7.980 7.890 98.520 98.250 1.480 1.750 6.54 6.11 224 0.875 bicubic
253 densenet121 resnet26d 91.940 92.100 8.060 7.900 98.280 98.460 1.720 1.540 7.98 16.01 224 0.875 bicubic
254 regnety_008 ese_vovnet19b_dw 91.890 92.090 8.110 7.910 98.420 98.510 1.580 1.490 6.26 6.54 224 0.875 bicubic
255 mixnet_s tf_efficientnet_es 91.780 92.080 8.220 7.920 98.300 98.460 1.700 1.540 4.13 5.44 224 0.875 bicubic
256 tf_mixnet_s densenet121 91.690 91.950 8.310 8.050 98.240 98.180 1.760 1.820 4.13 7.98 224 0.875 bicubic
257 semnasnet_100 regnety_008 91.660 91.810 8.340 8.190 98.260 98.410 1.740 1.590 3.89 6.26 224 0.875 bicubic
258 regnety_006 mixnet_s 91.590 91.800 8.410 8.200 98.430 98.330 1.570 1.670 6.06 4.13 224 0.875 bicubic
259 mobilenetv3_rw tf_mixnet_s 91.560 91.660 8.440 8.340 98.270 98.160 1.730 1.840 5.48 4.13 224 0.875 bicubic
260 mobilenetv3_large_100 semnasnet_100 91.480 91.620 8.520 8.380 98.330 98.310 1.670 1.690 5.48 3.89 224 0.875 bicubic
261 legacy_seresnet34 repvgg_b0 91.470 91.600 8.530 8.400 98.200 98.450 1.800 1.550 21.96 15.82 224 0.875 bilinear
262 resnet26 regnety_006 91.450 91.570 8.550 8.430 98.280 98.390 1.720 1.610 16.00 6.06 224 0.875 bicubic
263 tf_mobilenetv3_large_100 mobilenetv3_rw 91.410 91.550 8.590 8.450 98.250 98.340 1.750 1.660 5.48 224 0.875 bilinear bicubic
264 tv_densenet121 legacy_seresnet34 91.390 91.530 8.610 8.470 98.250 98.320 1.750 1.680 7.98 21.96 224 0.875 bicubic bilinear
265 mobilenetv2_110d mobilenetv3_large_100 91.330 91.490 8.670 8.510 98.190 98.310 1.810 1.690 4.52 5.48 224 0.875 bicubic
266 tf_efficientnet_lite0 tv_densenet121 91.280 91.430 8.720 8.570 98.090 98.280 1.910 1.720 4.65 7.98 224 0.875 bicubic
267 dla34 tf_mobilenetv3_large_100 91.260 91.410 8.740 8.590 98.180 98.290 1.820 1.710 15.74 5.48 224 0.875 bilinear
268 efficientnet_lite0 resnet26 91.260 91.390 8.740 8.610 98.250 98.360 1.750 1.640 4.65 16.00 224 0.875 bicubic
269 fbnetc_100 regnetx_008 91.260 91.340 8.740 8.660 97.820 98.350 2.180 1.650 5.57 7.26 224 0.875 bilinear bicubic
270 regnetx_008 resnet34 91.210 91.330 8.790 8.670 98.370 98.160 1.630 1.840 7.26 21.80 224 0.875 bicubic bilinear
271 mnasnet_100 hrnet_w18_small_v2 91.200 91.290 8.800 8.710 98.040 98.400 1.960 1.600 4.38 15.60 224 0.875 bicubic bilinear
272 resnet34 tf_efficientnet_lite0 91.190 91.280 8.810 8.720 98.230 98.060 1.770 1.940 21.80 4.65 224 0.875 bilinear bicubic
273 hrnet_w18_small_v2 dla34 91.170 91.230 8.830 8.770 98.360 98.140 1.640 1.860 15.60 15.74 224 0.875 bilinear
274 resnest14d efficientnet_lite0 91.140 91.220 8.860 8.780 98.350 98.190 1.650 1.810 10.61 4.65 224 0.875 bilinear bicubic
275 gluon_resnet34_v1b mnasnet_100 91.090 91.210 8.910 8.790 98.180 98.030 1.820 1.970 21.80 4.38 224 0.875 bicubic
276 swsl_resnet18 resnest14d 91.090 91.170 8.910 8.830 98.210 98.300 1.790 1.700 11.69 10.61 224 0.875 bilinear
277 regnety_004 fbnetc_100 90.760 91.140 9.240 8.860 98.080 97.870 1.920 2.130 4.34 5.57 224 0.875 bicubic bilinear
278 regnetx_006 swsl_resnet18 90.750 91.130 9.250 8.870 98.100 98.230 1.900 1.770 6.20 11.69 224 0.875 bicubic bilinear
279 ssl_resnet18 vgg19_bn 90.700 91.120 9.300 8.880 98.030 98.160 1.970 1.840 11.69 143.68 224 0.875 bilinear
280 spnasnet_100 vit_deit_tiny_distilled_patch16_224 90.620 91.120 9.380 8.880 97.950 98.310 2.050 1.690 4.42 5.91 224 0.875 0.900 bilinear bicubic
281 tf_mobilenetv3_large_075 mobilenetv2_110d 90.310 91.100 9.690 8.900 97.880 98.140 2.120 1.860 3.99 4.52 224 0.875 bilinear bicubic
282 tv_resnet34 gluon_resnet34_v1b 90.310 91.020 9.690 8.980 97.970 98.140 2.030 1.860 21.80 224 0.875 bilinear bicubic
283 skresnet18 regnetx_006 90.160 90.920 9.840 9.080 97.780 98.070 2.220 1.930 11.96 6.20 224 0.875 bicubic
284 resnet18d ssl_resnet18 90.000 90.840 10.000 9.160 97.840 98.020 2.160 1.980 11.71 11.69 224 0.875 bicubic bilinear
285 hrnet_w18_small regnety_004 89.900 90.750 10.100 9.250 97.900 98.070 2.100 1.930 13.19 4.34 224 0.875 bilinear bicubic
286 mobilenetv2_100 spnasnet_100 89.840 90.640 10.160 9.360 97.840 97.920 2.160 2.080 3.50 4.42 224 0.875 bicubic bilinear
287 regnetx_004 vgg16_bn 89.450 90.620 10.550 9.380 97.780 98.050 2.220 1.950 5.16 138.37 224 0.875 bicubic bilinear
288 legacy_seresnet18 tv_resnet34 89.260 90.390 10.740 9.610 97.690 97.930 2.310 2.070 11.78 21.80 224 0.875 bicubic bilinear
289 tf_mobilenetv3_large_minimal_100 tf_mobilenetv3_large_075 89.160 90.360 10.840 9.640 97.320 97.840 2.680 2.160 3.92 3.99 224 0.875 bilinear
290 gluon_resnet18_v1b skresnet18 88.670 90.180 11.330 9.820 97.110 97.860 2.890 2.140 11.69 11.96 224 0.875 bicubic
291 regnety_002 mobilenetv2_100 88.220 89.890 11.780 10.110 97.430 97.850 2.570 2.150 3.16 3.50 224 0.875 bicubic
292 resnet18 resnet18d 88.170 89.860 11.830 10.140 97.120 97.900 2.880 2.100 11.69 11.71 224 0.875 bilinear bicubic
293 regnetx_002 vgg19 87.370 89.690 12.630 10.310 96.990 97.580 3.010 2.420 2.68 143.67 224 0.875 bicubic bilinear
294 dla60x_c hrnet_w18_small 87.080 89.640 12.920 10.360 97.140 97.840 2.860 2.160 1.32 13.19 224 0.875 bilinear
295 tf_mobilenetv3_small_100 vit_deit_tiny_patch16_224 85.980 89.630 14.020 10.370 96.400 97.930 3.600 2.070 2.54 5.72 224 0.875 0.900 bilinear bicubic
296 dla46x_c regnetx_004 85.470 89.610 14.530 10.390 96.450 97.780 3.550 2.220 1.07 5.16 224 0.875 bilinear bicubic
297 dla46_c vgg16 84.710 89.490 15.290 10.510 96.210 97.530 3.790 2.470 1.30 138.36 224 0.875 bilinear
298 tf_mobilenetv3_small_075 legacy_seresnet18 84.530 89.290 15.470 10.710 95.880 97.790 4.120 2.210 2.04 11.78 224 0.875 bilinear bicubic
299 tf_mobilenetv3_small_minimal_100 tf_mobilenetv3_large_minimal_100 82.670 89.290 17.330 10.710 95.000 97.380 5.000 2.620 2.04 3.92 224 0.875 bilinear
300 pnasnet5large vgg13_bn 17.870 89.200 82.130 10.800 42.120 97.640 57.880 2.360 86.06 133.05 331 224 0.911 0.875 bicubic bilinear
301 inception_resnet_v2 gluon_resnet18_v1b 16.790 88.770 83.210 11.230 38.850 97.080 61.150 2.920 55.85 11.69 299 224 0.897 0.875 bicubic
302 inception_v4 vgg11_bn 16.540 88.310 83.460 11.690 37.380 97.290 62.620 2.710 42.68 132.87 299 224 0.875 bicubic bilinear
303 ens_adv_inception_resnet_v2 regnety_002 16.240 88.180 83.760 11.820 40.390 97.430 59.610 2.570 55.85 3.16 299 224 0.897 0.875 bicubic
304 resnet18 88.050 11.950 97.110 2.890 11.69 224 0.875 bilinear
305 vgg13 87.560 12.440 97.160 2.840 133.05 224 0.875 bilinear
306 vgg11 87.370 12.630 97.010 2.990 132.86 224 0.875 bilinear
307 regnetx_002 87.210 12.790 96.900 3.100 2.68 224 0.875 bicubic
308 dla60x_c 87.190 12.810 97.090 2.910 1.32 224 0.875 bilinear
309 tf_mobilenetv3_small_100 85.870 14.130 96.310 3.690 2.54 224 0.875 bilinear
310 dla46x_c 85.690 14.310 96.460 3.540 1.07 224 0.875 bilinear
311 tf_mobilenetv3_small_075 84.770 15.230 95.880 4.120 2.04 224 0.875 bilinear
312 dla46_c 84.690 15.310 96.220 3.780 1.30 224 0.875 bilinear
313 tf_mobilenetv3_small_minimal_100 82.770 17.230 95.080 4.920 2.04 224 0.875 bilinear

589
results/results-imagenet-r.csv
Unescape View File

@ -1,278 +1,313 @@
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,79.730,20.270,89.517,10.483,828.41,224,0.875,bilinear,-17.480,-10.183,+2 ig_resnext101_32x48d,79.737,20.263,89.450,10.550,828.41,224,0.875,bilinear,-17.243,-10.210,+4
ig_resnext101_32x32d,79.520,20.480,89.227,10.773,468.53,224,0.875,bilinear,-17.360,-10.433,+4 ig_resnext101_32x32d,79.447,20.553,89.283,10.717,468.53,224,0.875,bilinear,-17.403,-10.237,+7
ig_resnext101_32x16d,78.830,21.170,88.463,11.537,194.03,224,0.875,bilinear,-17.660,-11.157,+10 ig_resnext101_32x16d,78.963,21.037,88.437,11.563,194.03,224,0.875,bilinear,-17.417,-11.123,+19
tf_efficientnet_l2_ns_475,76.367,23.633,88.540,11.460,480.31,475,0.936,bicubic,-19.573,-10.860,-4 tf_efficientnet_l2_ns_475,76.537,23.463,88.630,11.370,480.31,475,0.936,bicubic,-21.223,-11.190,-2
swsl_resnext101_32x16d,76.220,23.780,87.747,12.253,194.03,224,0.875,bilinear,-20.060,-11.773,+15 swsl_resnext101_32x16d,76.253,23.747,87.780,12.220,194.03,224,0.875,bilinear,-20.037,-11.760,+24
ig_resnext101_32x8d,75.897,24.103,86.253,13.747,88.79,224,0.875,bilinear,-20.083,-13.197,+25 ig_resnext101_32x8d,75.897,24.103,86.193,13.807,88.79,224,0.875,bilinear,-19.983,-13.157,+35
swsl_resnext101_32x8d,75.590,24.410,87.043,12.957,88.79,224,0.875,bilinear,-20.680,-12.457,+14 swsl_resnext101_32x8d,75.463,24.537,86.840,13.160,88.79,224,0.875,bilinear,-20.807,-12.750,+24
tf_efficientnet_l2_ns,74.623,25.377,87.497,12.503,480.31,800,0.960,bicubic,-21.707,-12.013,-9 tf_efficientnet_l2_ns,74.603,25.397,87.543,12.457,480.31,800,0.960,bicubic,-23.157,-12.337,-7
swsl_resnext101_32x4d,72.700,27.300,85.193,14.807,44.18,224,0.875,bilinear,-23.380,-14.347,+20 swsl_resnext101_32x4d,72.683,27.317,85.157,14.843,44.18,224,0.875,bilinear,-23.347,-14.383,+30
swsl_resnext50_32x4d,69.103,30.897,82.880,17.120,25.03,224,0.875,bilinear,-26.507,-16.560,+26 swsl_resnext50_32x4d,69.027,30.973,82.837,17.163,25.03,224,0.875,bilinear,-26.603,-16.613,+36
swsl_resnet50,68.357,31.643,83.383,16.617,25.56,224,0.875,bilinear,-26.863,-15.857,+40 swsl_resnet50,68.220,31.780,83.330,16.670,25.56,224,0.875,bilinear,-27.070,-15.980,+47
tf_efficientnet_b7_ns,67.040,32.960,81.090,18.910,66.35,600,0.949,bicubic,-30.730,-18.800,-11 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_b6_ns,65.460,34.540,79.447,20.553,43.04,528,0.942,bicubic,-32.290,-20.373,-11 tf_efficientnet_b6_ns,65.577,34.423,79.537,20.463,43.04,528,0.942,bicubic,-31.433,-20.173,-9
tf_efficientnet_b5_ns,62.890,37.110,77.720,22.280,30.39,456,0.934,bicubic,-34.070,-21.950,-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_b4_ns,61.087,38.913,76.060,23.940,19.34,380,0.922,bicubic,-35.793,-23.580,-8 tf_efficientnet_b4_ns,61.277,38.723,76.220,23.780,19.34,380,0.922,bicubic,-35.403,-23.460,-2
tf_efficientnet_b8_ap,57.870,42.130,72.940,27.060,87.41,672,0.954,bicubic,-38.830,-26.610,-6 tf_efficientnet_b8_ap,57.840,42.160,72.950,27.050,87.41,672,0.954,bicubic,-38.720,-26.590,0
tf_efficientnet_b3_ns,57.323,42.677,72.387,27.613,12.23,300,0.904,bicubic,-38.787,-27.073,+9 tf_efficientnet_b3_ns,57.417,42.583,72.407,27.593,12.23,300,0.904,bicubic,-38.623,-27.053,+21
vit_large_patch16_384,54.803,45.197,70.107,29.893,304.72,384,1.000,bicubic,-41.627,-29.433,-3 vit_large_patch16_384,54.773,45.227,70.040,29.960,304.72,384,1.000,bicubic,-41.607,-29.600,+5
vit_base_resnet50_384,54.333,45.667,69.503,30.497,98.95,384,1.000,bicubic,-42.227,-30.047,-7 vit_base_resnet50_384,54.390,45.610,69.590,30.410,98.95,384,1.000,bicubic,-42.070,-29.970,0
resnetv2_152x4_bitm,54.170,45.830,70.257,29.743,936.53,480,1.000,bilinear,-42.860,-29.453,-16 resnetv2_152x4_bitm,54.227,45.773,70.150,29.850,936.53,480,1.000,bilinear,-42.633,-29.510,-12
tf_efficientnet_b5_ap,53.920,46.080,69.190,30.810,30.39,456,0.934,bicubic,-42.160,-30.280,+7 dm_nfnet_f6,54.077,45.923,69.017,30.983,438.36,576,0.956,bicubic,-42.893,-30.723,-15
tf_efficientnet_b6_ap,53.563,46.437,68.580,31.420,43.04,528,0.942,bicubic,-42.817,-31.020,-6 tf_efficientnet_b5_ap,53.897,46.103,69.160,30.840,30.39,456,0.934,bicubic,-42.183,-30.380,+15
tf_efficientnet_b2_ns,53.507,46.493,70.393,29.607,9.11,260,0.890,bicubic,-42.023,-28.947,+16 dm_nfnet_f5,53.723,46.277,68.493,31.507,377.21,544,0.954,bicubic,-42.997,-31.187,-12
tf_efficientnet_b7_ap,53.320,46.680,68.900,31.100,66.35,600,0.949,bicubic,-43.040,-30.650,-7 tf_efficientnet_b6_ap,53.577,46.423,68.533,31.467,43.04,528,0.942,bicubic,-42.793,-31.017,0
tf_efficientnet_b8,53.203,46.797,68.957,31.043,87.41,672,0.954,bicubic,-43.577,-30.573,-17 tf_efficientnet_b2_ns,53.573,46.427,70.277,29.723,9.11,260,0.890,bicubic,-41.887,-29.113,+29
tf_efficientnet_b4_ap,53.073,46.927,68.230,31.770,19.34,380,0.922,bicubic,-42.427,-31.160,+16 tf_efficientnet_b8,53.413,46.587,69.087,30.913,87.41,672,0.954,bicubic,-43.287,-30.433,-14
tf_efficientnet_b7,52.303,47.697,68.227,31.773,66.35,600,0.949,bicubic,-44.407,-31.413,-18 tf_efficientnet_b7_ap,53.267,46.733,68.873,31.127,66.35,600,0.949,bicubic,-43.083,-30.717,-1
swsl_resnet18,52.243,47.757,70.503,29.497,11.69,224,0.875,bilinear,-38.847,-27.707,+220 dm_nfnet_f3,53.240,46.760,68.100,31.900,254.92,416,0.940,bicubic,-43.420,-31.540,-14
vit_base_patch16_384,51.037,48.963,65.390,34.610,86.86,384,1.000,bicubic,-45.133,-34.230,-6 tf_efficientnet_b4_ap,53.060,46.940,68.157,31.843,19.34,380,0.922,bicubic,-42.460,-31.183,+22
resnetv2_152x2_bitm,50.950,49.050,68.580,31.420,236.34,480,1.000,bilinear,-45.630,-30.930,-19 tf_efficientnet_b7,52.417,47.583,68.210,31.790,66.35,600,0.949,bicubic,-44.163,-31.310,-15
vit_large_patch16_224,50.937,49.063,66.340,33.660,304.33,224,0.900,bicubic,-44.353,-32.970,+16 swsl_resnet18,52.407,47.593,70.577,29.423,11.69,224,0.875,bilinear,-38.723,-27.653,+246
tf_efficientnet_b1_ns,50.770,49.230,67.960,32.040,7.79,240,0.882,bicubic,-44.110,-31.290,+30 dm_nfnet_f4,52.290,47.710,67.093,32.907,316.07,512,0.951,bicubic,-44.510,-32.547,-22
ssl_resnext101_32x16d,50.227,49.773,66.093,33.907,194.03,224,0.875,bilinear,-45.173,-33.317,+11 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
seresnet152d,50.183,49.817,65.123,34.877,66.84,256,0.940,bicubic,-45.757,-34.267,+33 ecaresnet269d,51.687,48.313,66.043,33.957,102.09,352,1.000,bicubic,-44.733,-33.597,-13
resnest269e,50.133,49.867,64.713,35.287,110.93,416,0.928,bicubic,-46.037,-34.807,-10 resnetv2_152x2_bitm,51.063,48.937,68.557,31.443,236.34,480,1.000,bilinear,-45.447,-31.063,-18
tf_efficientnet_b3_ap,50.093,49.907,65.277,34.723,12.23,300,0.904,bicubic,-44.867,-33.833,+24 vit_large_patch16_224,50.967,49.033,66.170,33.830,304.33,224,0.900,bicubic,-44.313,-33.140,+25
resnet200d,49.850,50.150,64.730,35.270,64.69,256,0.940,bicubic,-45.850,-34.610,-1 tf_efficientnet_b1_ns,50.917,49.083,67.963,32.037,7.79,240,0.882,bicubic,-43.933,-31.277,+39
resnest200e,49.807,50.193,64.780,35.220,70.20,320,0.909,bicubic,-46.303,-34.690,-10 vit_base_patch16_384,50.907,49.093,65.270,34.730,86.86,384,1.000,bicubic,-45.283,-34.280,-6
resnetv2_101x3_bitm,49.683,50.317,67.137,32.863,387.93,480,1.000,bilinear,-46.787,-32.523,-24 ssl_resnext101_32x16d,50.327,49.673,65.977,34.023,194.03,224,0.875,bilinear,-45.143,-33.433,+14
resnet152d,49.637,50.363,64.740,35.260,60.21,256,0.940,bicubic,-45.833,-34.560,+4 resnest269e,50.323,49.677,64.713,35.287,110.93,416,0.928,bicubic,-45.817,-34.827,-7
tf_efficientnet_b5,49.497,50.503,65.597,34.403,30.39,456,0.934,bicubic,-46.563,-33.943,-10 tf_efficientnet_b3_ap,50.050,49.950,65.210,34.790,12.23,300,0.904,bicubic,-44.840,-33.920,+33
resnet200d_320,49.437,50.563,64.300,35.700,64.69,320,1.000,bicubic,-46.683,-35.220,-16 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
resnest101e,49.380,50.620,65.527,34.473,48.28,256,0.875,bilinear,-46.210,-33.743,-5 resnetv2_101x3_bitm,49.827,50.173,66.987,33.013,387.93,480,1.000,bilinear,-46.523,-32.613,-18
resnet152d_320,49.267,50.733,64.427,35.573,60.21,320,1.000,bicubic,-46.583,-35.003,-10 resnest200e,49.777,50.223,64.693,35.307,70.20,320,0.909,bicubic,-46.303,-34.757,-8
seresnet152d_320,49.220,50.780,64.273,35.727,66.84,320,1.000,bicubic,-47.140,-35.357,+18 tf_efficientnet_b5,49.493,50.507,65.667,34.333,30.39,456,0.934,bicubic,-46.477,-33.793,-5
ssl_resnext101_32x8d,49.140,50.860,65.507,34.493,88.79,224,0.875,bilinear,-46.190,-33.813,+2 resnet200d,49.487,50.513,64.347,35.653,64.69,320,1.000,bicubic,-46.643,-35.093,-12
efficientnet_b3a,48.573,51.427,64.343,35.657,12.23,320,1.000,bicubic,-46.577,-34.867,+10 resnest101e,49.290,50.710,65.487,34.513,48.28,256,0.875,bilinear,-46.270,-33.793,+2
ecaresnet101d,48.473,51.527,64.087,35.913,44.57,224,0.875,bicubic,-46.687,-35.143,+7 ssl_resnext101_32x8d,49.223,50.777,65.437,34.563,88.79,224,0.875,bilinear,-46.067,-33.793,+12
efficientnet_b3,48.227,51.773,64.183,35.817,12.23,300,0.904,bicubic,-46.743,-35.057,+11 seresnet152d,49.213,50.787,64.167,35.833,66.84,320,1.000,bicubic,-47.067,-35.343,-19
resnest50d_4s2x40d,47.500,52.500,63.867,36.133,30.42,224,0.875,bicubic,-47.210,-35.263,+19 resnet152d,49.193,50.807,64.413,35.587,60.21,320,1.000,bicubic,-46.677,-35.007,-8
efficientnet_b3_pruned,47.463,52.537,62.850,37.150,9.86,300,0.904,bicubic,-47.117,-36.220,+26 repvgg_b3,48.993,51.007,64.860,35.140,123.09,224,0.875,bilinear,-45.637,-34.130,+35
vit_base_patch16_224,47.413,52.587,61.683,38.317,86.57,224,0.900,bicubic,-47.807,-37.717,0 dm_nfnet_f2,48.650,51.350,63.580,36.420,193.78,352,0.920,bicubic,-47.810,-36.090,-32
resnet101d,47.227,52.773,62.793,37.207,44.57,256,0.940,bicubic,-48.053,-36.467,-3 efficientnet_b3a,48.520,51.480,64.237,35.763,12.23,320,1.000,bicubic,-46.650,-34.983,+12
ssl_resnext101_32x4d,47.177,52.823,63.397,36.603,44.18,224,0.875,bilinear,-47.983,-35.903,+2 ecaresnet101d,48.507,51.493,64.200,35.800,44.57,224,0.875,bicubic,-46.703,-35.040,+10
tf_efficientnet_b6,47.153,52.847,63.057,36.943,43.04,528,0.942,bicubic,-49.197,-36.543,-34 repvgg_b3g4,48.277,51.723,64.747,35.253,83.83,224,0.875,bilinear,-46.293,-34.253,+33
tf_efficientnet_b4,47.040,52.960,62.903,37.097,19.34,380,0.922,bicubic,-48.550,-36.417,-16 vit_large_patch32_384,48.183,51.817,61.797,38.203,306.63,384,1.000,bicubic,-47.057,-37.513,+7
resnet101d_320,46.907,53.093,62.360,37.640,44.57,320,1.000,bicubic,-48.843,-37.080,-21 efficientnet_b3,48.147,51.853,64.093,35.907,12.23,300,0.904,bicubic,-46.743,-35.097,+16
resnetv2_50x3_bitm,46.857,53.143,64.907,35.093,217.32,480,1.000,bilinear,-49.363,-34.683,-34 repvgg_b2g4,47.783,52.217,64.430,35.570,61.76,224,0.875,bilinear,-46.107,-34.540,+90
gluon_seresnext101_64x4d,46.690,53.310,61.357,38.643,88.23,224,0.875,bicubic,-47.940,-37.613,+16 resnest50d_4s2x40d,47.470,52.530,63.897,36.103,30.42,224,0.875,bicubic,-47.250,-35.233,+21
regnety_032,46.643,53.357,62.210,37.790,19.44,224,0.875,bicubic,-48.427,-37.000,-2 efficientnet_b3_pruned,47.423,52.577,62.810,37.190,9.86,300,0.904,bicubic,-47.127,-36.250,+30
tresnet_xl,46.280,53.720,61.903,38.097,78.44,224,0.875,bilinear,-48.790,-37.347,-2 tf_efficientnet_b6,47.220,52.780,63.103,36.897,43.04,528,0.942,bicubic,-49.100,-36.427,-33
resnest50d_1s4x24d,46.130,53.870,62.480,37.520,25.68,224,0.875,bicubic,-48.260,-36.580,+22 vit_base_patch16_224,47.220,52.780,61.647,38.353,86.57,224,0.900,bicubic,-48.070,-37.703,-3
tf_efficientnet_b0_ns,46.047,53.953,63.280,36.720,5.29,224,0.875,bicubic,-47.713,-35.700,+71 ssl_resnext101_32x4d,47.197,52.803,63.290,36.710,44.18,224,0.875,bilinear,-47.953,-36.030,+3
resnest50d,45.883,54.117,62.673,37.327,27.48,224,0.875,bilinear,-48.737,-36.357,+12 tf_efficientnet_b4,47.043,52.957,62.823,37.177,19.34,380,0.922,bicubic,-48.537,-36.467,-16
gluon_seresnext101_32x4d,45.517,54.483,61.150,38.850,48.96,224,0.875,bicubic,-48.913,-37.940,+18 resnet101d,46.960,53.040,62.340,37.660,44.57,320,1.000,bicubic,-48.780,-37.080,-22
gluon_resnet152_v1d,45.423,54.577,60.097,39.903,60.21,224,0.875,bicubic,-49.027,-38.903,+15 resnetv2_50x3_bitm,46.763,53.237,64.883,35.117,217.32,480,1.000,bilinear,-49.367,-34.737,-31
ssl_resnext50_32x4d,45.370,54.630,61.983,38.017,25.03,224,0.875,bilinear,-49.330,-37.067,+3 regnety_032,46.663,53.337,62.357,37.643,19.44,224,0.875,bicubic,-48.467,-36.863,0
nasnetalarge,45.200,54.800,57.960,42.040,88.75,331,0.911,bicubic,-49.970,-41.170,-14 dm_nfnet_f1,46.660,53.340,61.560,38.440,132.63,320,0.910,bicubic,-49.680,-37.900,-41
tresnet_xl_448,45.157,54.843,61.440,38.560,78.44,448,0.875,bilinear,-50.363,-37.900,-27 gluon_seresnext101_64x4d,46.617,53.383,61.373,38.627,88.23,224,0.875,bicubic,-47.883,-37.597,+22
tf_efficientnet_b3,45.103,54.897,60.680,39.320,12.23,300,0.904,bicubic,-49.807,-38.420,-8 tresnet_xl,46.280,53.720,62.017,37.983,78.44,224,0.875,bilinear,-48.710,-37.203,-1
rexnet_200,45.070,54.930,62.223,37.777,16.37,224,0.875,bicubic,-49.600,-36.867,+1 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
ecaresnetlight,44.910,55.090,60.770,39.230,30.16,224,0.875,bicubic,-49.230,-38.180,+29 resnest50d_1s4x24d,46.127,53.873,62.353,37.647,25.68,224,0.875,bicubic,-48.213,-36.707,+34
vit_base_patch32_384,44.793,55.207,58.577,41.423,88.30,384,1.000,bicubic,-50.457,-40.603,-22 gernet_m,46.023,53.977,62.747,37.253,21.14,224,0.875,bilinear,-48.457,-36.163,+22
tf_efficientnet_b2_ap,44.740,55.260,60.700,39.300,9.11,260,0.890,bicubic,-49.530,-38.250,+17 tf_efficientnet_b0_ns,45.993,54.007,63.237,36.763,5.29,224,0.875,bicubic,-47.587,-35.593,+103
tresnet_l,44.357,55.643,59.953,40.047,55.99,224,0.875,bilinear,-50.543,-39.077,-12 resnest50d,45.817,54.183,62.650,37.350,27.48,224,0.875,bilinear,-48.673,-36.350,+19
gluon_resnext101_32x4d,44.330,55.670,59.097,40.903,44.18,224,0.875,bicubic,-49.790,-39.833,+27 gluon_seresnext101_32x4d,45.533,54.467,61.103,38.897,48.96,224,0.875,bicubic,-48.867,-38.007,+25
cspresnext50,44.167,55.833,60.447,39.553,20.57,224,0.875,bilinear,-49.583,-38.393,+58 ssl_resnext50_32x4d,45.493,54.507,62.010,37.990,25.03,224,0.875,bilinear,-49.227,-37.180,+4
wide_resnet50_2,44.167,55.833,59.680,40.320,68.88,224,0.875,bicubic,-50.493,-39.370,-4 dm_nfnet_f0,45.447,54.553,61.010,38.990,71.49,256,0.900,bicubic,-50.203,-38.290,-33
gluon_resnet152_v1s,44.083,55.917,58.740,41.260,60.32,224,0.875,bicubic,-50.617,-40.500,-8 gluon_resnet152_v1d,45.337,54.663,60.080,39.920,60.21,224,0.875,bicubic,-49.133,-38.910,+17
seresnext50_32x4d,44.077,55.923,59.427,40.573,27.56,224,0.875,bicubic,-50.733,-39.703,-14 nasnetalarge,45.247,54.753,57.967,42.033,88.75,331,0.911,bicubic,-50.073,-41.173,-23
gluon_resnext101_64x4d,43.893,56.107,58.713,41.287,83.46,224,0.875,bicubic,-50.437,-40.167,+6 tresnet_xl_448,45.223,54.777,61.403,38.597,78.44,448,0.875,bilinear,-50.297,-38.017,-31
ssl_resnet50,43.887,56.113,61.933,38.067,25.56,224,0.875,bilinear,-50.433,-37.227,+6 tf_efficientnet_b3,45.113,54.887,60.613,39.387,12.23,300,0.904,bicubic,-49.787,-38.527,-10
ecaresnet101d_pruned,43.787,56.213,59.650,40.350,24.88,224,0.875,bicubic,-50.653,-39.450,-1 rexnet_200,45.093,54.907,62.343,37.657,16.37,224,0.875,bicubic,-49.507,-36.717,+4
ecaresnet50d,43.700,56.300,60.380,39.620,25.58,224,0.875,bicubic,-50.500,-38.640,+10 ecaresnetlight,44.920,55.080,60.753,39.247,30.16,224,0.875,bicubic,-49.200,-38.187,+36
rexnet_150,43.580,56.420,60.840,39.160,9.73,224,0.875,bicubic,-50.700,-38.250,+5 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_resnet101_v1d,43.420,56.580,58.560,41.440,44.57,224,0.875,bicubic,-50.740,-40.390,+14 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_resnet101_v1s,43.407,56.593,58.700,41.300,44.67,224,0.875,bicubic,-50.773,-40.210,+11 gernet_l,44.723,55.277,59.047,40.953,31.08,256,0.875,bilinear,-50.217,-40.133,-16
cspdarknet53,43.340,56.660,59.483,40.517,27.64,256,0.887,bilinear,-50.760,-39.497,+18 vit_base_patch32_384,44.690,55.310,58.527,41.473,88.30,384,1.000,bicubic,-50.580,-40.663,-26
dpn68b,43.263,56.737,58.607,41.393,12.61,224,0.875,bicubic,-50.337,-40.103,+62 tf_efficientnet_b2_ap,44.683,55.317,60.673,39.327,9.11,260,0.890,bicubic,-49.677,-38.297,+14
cspresnet50,43.130,56.870,59.213,40.787,21.62,256,0.887,bilinear,-50.720,-39.687,+33 ens_adv_inception_resnet_v2,44.360,55.640,58.077,41.923,55.84,299,0.897,bicubic,-49.710,-40.713,+37
resnest26d,43.110,56.890,60.590,39.410,17.07,224,0.875,bilinear,-50.150,-38.250,+82 tresnet_l,44.353,55.647,59.907,40.093,55.99,224,0.875,bilinear,-50.477,-39.153,-14
resnetv2_101x1_bitm,43.043,56.957,60.910,39.090,44.54,480,1.000,bilinear,-52.457,-38.600,-49 wide_resnet50_2,44.287,55.713,59.620,40.380,68.88,224,0.875,bicubic,-50.403,-39.470,-10
dpn131,43.020,56.980,57.430,42.570,79.25,224,0.875,bicubic,-50.740,-41.380,+40 gluon_resnext101_32x4d,44.180,55.820,59.077,40.923,44.18,224,0.875,bicubic,-50.010,-39.843,+23
gluon_resnet152_v1b,42.980,57.020,57.730,42.270,60.19,224,0.875,bicubic,-51.040,-41.300,+19 cspresnext50,44.147,55.853,60.513,39.487,20.57,224,0.875,bilinear,-49.673,-38.327,+60
dpn107,42.890,57.110,57.527,42.473,86.92,224,0.875,bicubic,-51.070,-41.323,+20 seresnext50_32x4d,44.133,55.867,59.403,40.597,27.56,224,0.875,bicubic,-50.637,-39.717,-17
tf_efficientnet_lite4,42.850,57.150,57.710,42.290,13.01,380,0.920,bilinear,-52.020,-41.380,-31 gluon_resnet152_v1s,44.103,55.897,58.697,41.303,60.32,224,0.875,bicubic,-50.547,-40.373,-12
gluon_resnet152_v1c,42.840,57.160,57.797,42.203,60.21,224,0.875,bicubic,-51.030,-41.003,+24 pnasnet5large,44.043,55.957,56.733,43.267,86.06,331,0.911,bicubic,-51.327,-42.387,-41
tf_efficientnet_b1_ap,42.827,57.173,58.850,41.150,7.79,240,0.882,bicubic,-50.813,-39.930,+50 ssl_resnet50,44.020,55.980,61.947,38.053,25.56,224,0.875,bilinear,-50.230,-37.133,+14
tresnet_l_448,42.787,57.213,58.940,41.060,55.99,448,0.875,bilinear,-52.613,-40.340,-52 inception_resnet_v2,43.910,56.090,57.870,42.130,55.84,299,0.897,bicubic,-50.350,-40.960,+11
gluon_xception65,42.730,57.270,58.870,41.130,39.92,299,0.903,bicubic,-51.300,-40.160,+11 ecaresnet50d,43.830,56.170,60.340,39.660,25.58,224,0.875,bicubic,-50.310,-38.600,+19
resnet50d,42.700,57.300,58.770,41.230,25.58,224,0.875,bicubic,-51.370,-40.150,+8 ecaresnet101d_pruned,43.810,56.190,59.653,40.347,24.88,224,0.875,bicubic,-50.650,-39.477,-4
tresnet_m,42.690,57.310,58.213,41.787,31.39,224,0.875,bilinear,-51.390,-40.617,+6 gluon_resnext101_64x4d,43.790,56.210,58.703,41.297,83.46,224,0.875,bicubic,-50.560,-40.127,+2
gluon_seresnext50_32x4d,42.687,57.313,58.717,41.283,27.56,224,0.875,bicubic,-51.493,-40.303,-6 rexnet_150,43.453,56.547,60.953,39.047,9.73,224,0.875,bicubic,-50.827,-38.067,+5
resnext101_32x8d,42.573,57.427,58.357,41.643,88.79,224,0.875,bilinear,-51.197,-40.593,+28 ecaresnet50t,43.440,56.560,59.350,40.650,25.57,320,0.950,bicubic,-51.640,-39.920,-36
seresnet50,42.493,57.507,58.770,41.230,28.09,224,0.875,bicubic,-51.587,-40.200,+2 gluon_resnet101_v1d,43.440,56.560,58.540,41.460,44.57,224,0.875,bicubic,-50.680,-40.380,+16
legacy_senet154,42.290,57.710,56.563,43.437,115.09,224,0.875,bilinear,-52.440,-42.537,-39 cspdarknet53,43.343,56.657,59.413,40.587,27.64,256,0.887,bilinear,-50.747,-39.557,+20
dpn98,42.277,57.723,56.933,43.067,61.57,224,0.875,bicubic,-51.673,-41.987,+9 gluon_resnet101_v1s,43.260,56.740,58.507,41.493,44.67,224,0.875,bicubic,-51.030,-40.533,0
tf_efficientnet_cc_b1_8e,42.277,57.723,58.523,41.477,39.72,240,0.882,bicubic,-51.303,-40.167,+46 dpn68b,43.190,56.810,58.633,41.367,12.61,224,0.875,bicubic,-50.420,-40.137,+64
tf_efficientnet_b2,42.197,57.803,58.207,41.793,9.11,260,0.890,bicubic,-52.003,-40.823,-13 resnetv2_101x1_bitm,43.103,56.897,60.920,39.080,44.54,480,1.000,bilinear,-52.407,-38.600,-57
gluon_resnext50_32x4d,42.107,57.893,57.683,42.317,25.03,224,0.875,bicubic,-51.563,-41.017,+34 resnest26d,43.097,56.903,60.630,39.370,17.07,224,0.875,bilinear,-50.053,-38.270,+93
resnet50,42.043,57.957,56.093,43.907,25.56,224,0.875,bicubic,-51.437,-42.667,+51 dpn131,43.033,56.967,57.493,42.507,79.25,224,0.875,bicubic,-50.737,-41.307,+47
ecaresnet50d_pruned,42.000,58.000,58.330,41.670,19.94,224,0.875,bicubic,-51.820,-40.670,+14 cspresnet50,43.023,56.977,59.107,40.893,21.62,256,0.887,bilinear,-50.817,-39.793,+39
efficientnet_b2a,41.940,58.060,58.303,41.697,9.11,288,1.000,bicubic,-52.430,-40.747,-28 gluon_resnet152_v1c,42.937,57.063,57.803,42.197,60.21,224,0.875,bicubic,-50.963,-41.047,+31
gluon_senet154,41.700,58.300,56.477,43.523,115.09,224,0.875,bicubic,-53.010,-42.493,-46 tf_efficientnet_lite4,42.900,57.100,57.630,42.370,13.01,380,0.920,bilinear,-51.980,-41.480,-39
dla102x2,41.670,58.330,58.033,41.967,41.28,224,0.875,bilinear,-52.350,-40.707,-1 gluon_resnet152_v1b,42.890,57.110,57.580,42.420,60.19,224,0.875,bicubic,-51.110,-41.190,+18
efficientnet_b2,41.660,58.340,58.057,41.943,9.11,260,0.875,bicubic,-52.680,-41.043,-30 dpn107,42.877,57.123,57.410,42.590,86.92,224,0.875,bicubic,-51.113,-41.460,+18
hrnet_w64,41.623,58.377,57.177,42.823,128.06,224,0.875,bilinear,-52.227,-41.743,+7 gluon_xception65,42.837,57.163,58.820,41.180,39.92,299,0.903,bicubic,-51.173,-40.190,+14
tf_efficientnet_cc_b0_8e,41.533,58.467,57.393,42.607,24.01,224,0.875,bicubic,-51.327,-41.067,+76 tf_efficientnet_b1_ap,42.803,57.197,58.840,41.160,7.79,240,0.882,bicubic,-50.877,-39.970,+48
efficientnet_em,41.477,58.523,58.877,41.123,6.90,240,0.882,bicubic,-52.273,-40.043,+17 tresnet_l_448,42.780,57.220,58.940,41.060,55.99,448,0.875,bilinear,-52.640,-40.360,-64
resnext50_32x4d,41.367,58.633,56.950,43.050,25.03,224,0.875,bicubic,-52.483,-41.880,+5 resnet50d,42.717,57.283,58.683,41.317,25.58,224,0.875,bicubic,-51.393,-40.277,+4
tv_resnet152,41.317,58.683,57.587,42.413,60.19,224,0.875,bilinear,-51.933,-41.163,+53 gluon_seresnext50_32x4d,42.680,57.320,58.620,41.380,27.56,224,0.875,bicubic,-51.360,-40.450,+7
xception71,41.297,58.703,55.940,44.060,42.34,299,0.903,bicubic,-52.603,-43.010,-3 tresnet_m,42.663,57.337,58.023,41.977,31.39,224,0.875,bilinear,-51.357,-40.797,+8
dpn92,41.257,58.743,56.327,43.673,37.67,224,0.875,bicubic,-52.943,-42.603,-30 resnext101_32x8d,42.597,57.403,58.153,41.847,88.79,224,0.875,bilinear,-51.223,-40.797,+32
adv_inception_v3,41.220,58.780,56.360,43.640,23.83,299,0.875,bicubic,-51.770,-42.120,+60 seresnet50,42.477,57.523,58.730,41.270,28.09,224,0.875,bicubic,-51.623,-40.250,+1
resnetblur50,41.077,58.923,57.080,42.920,25.56,224,0.875,bicubic,-52.633,-41.720,+16 nf_resnet50,42.387,57.613,59.490,40.510,25.56,288,0.940,bicubic,-52.033,-39.610,-26
gluon_resnet50_v1d,41.010,58.990,57.147,42.853,25.58,224,0.875,bicubic,-52.540,-41.563,+31 dpn98,42.313,57.687,56.830,43.170,61.57,224,0.875,bicubic,-51.587,-42.100,+17
ese_vovnet39b,40.887,59.113,57.020,42.980,24.57,224,0.875,bicubic,-52.963,-41.860,-5 tf_efficientnet_cc_b1_8e,42.220,57.780,58.433,41.567,39.72,240,0.882,bicubic,-51.340,-40.247,+54
gluon_inception_v3,40.880,59.120,55.670,44.330,23.83,299,0.875,bicubic,-52.710,-43.170,+24 vit_deit_small_patch16_224,42.200,57.800,57.930,42.070,22.05,224,0.900,bicubic,-51.690,-40.990,+19
resnet34d,40.853,59.147,56.523,43.477,21.82,224,0.875,bicubic,-51.787,-41.917,+74 legacy_senet154,42.163,57.837,56.650,43.350,115.09,224,0.875,bilinear,-52.597,-42.450,-50
regnety_320,40.837,59.163,56.180,43.820,145.05,224,0.875,bicubic,-53.663,-42.990,-51 resnet50,42.117,57.883,55.910,44.090,25.56,224,0.875,bicubic,-51.383,-42.670,+57
xception,40.793,59.207,56.510,43.490,22.86,299,0.897,bicubic,-52.857,-42.280,+16 gluon_resnext50_32x4d,42.113,57.887,57.653,42.347,25.03,224,0.875,bicubic,-51.587,-41.047,+34
gluon_resnet101_v1b,40.707,59.293,56.180,43.820,44.55,224,0.875,bicubic,-53.063,-42.530,-1 tf_efficientnet_b2,42.090,57.910,58.133,41.867,9.11,260,0.890,bicubic,-52.100,-40.897,-15
skresnext50_32x4d,40.700,59.300,56.013,43.987,27.48,224,0.875,bicubic,-53.250,-42.807,-16 efficientnet_b2a,41.963,58.037,58.293,41.707,9.11,288,1.000,bicubic,-52.437,-40.757,-33
hrnet_w40,40.663,59.337,56.863,43.137,57.56,224,0.875,bilinear,-53.047,-41.937,+6 ecaresnet50d_pruned,41.937,58.063,58.330,41.670,19.94,224,0.875,bicubic,-51.903,-40.650,+18
tf_efficientnet_lite3,40.613,59.387,56.567,43.433,8.20,300,0.904,bilinear,-53.507,-42.393,-31 gluon_senet154,41.683,58.317,56.383,43.617,115.09,224,0.875,bicubic,-52.967,-42.607,-50
regnetx_320,40.533,59.467,55.663,44.337,107.81,224,0.875,bicubic,-53.667,-43.387,-41 dla102x2,41.607,58.393,57.960,42.040,41.28,224,0.875,bilinear,-52.433,-40.940,-7
dla169,40.513,59.487,57.317,42.683,53.39,224,0.875,bilinear,-53.267,-41.523,-7 efficientnet_b2,41.590,58.410,58.087,41.913,9.11,260,0.875,bicubic,-52.750,-41.033,-32
tresnet_m_448,40.510,59.490,56.667,43.333,31.39,448,0.875,bilinear,-54.160,-42.503,-65 inception_v4,41.560,58.440,55.400,44.600,42.68,299,0.875,bicubic,-52.830,-43.430,-36
wide_resnet101_2,40.467,59.533,55.873,44.127,126.89,224,0.875,bilinear,-53.263,-42.937,-1 hrnet_w64,41.547,58.453,57.107,42.893,128.06,224,0.875,bilinear,-52.403,-41.853,-2
efficientnet_b2_pruned,40.460,59.540,56.607,43.393,8.31,260,0.890,bicubic,-53.340,-42.113,-12 tf_efficientnet_cc_b0_8e,41.493,58.507,57.223,42.777,24.01,224,0.875,bicubic,-51.357,-41.257,+81
skresnet34,40.377,59.623,56.797,43.203,22.28,224,0.875,bicubic,-52.183,-41.753,+68 efficientnet_em,41.477,58.523,58.883,41.117,6.90,240,0.882,bicubic,-52.253,-40.057,+20
tf_efficientnet_b0_ap,40.363,59.637,56.830,43.170,5.29,224,0.875,bicubic,-52.237,-41.540,+64 resnext50_32x4d,41.403,58.597,57.007,42.993,25.03,224,0.875,bicubic,-52.447,-41.783,+8
regnetx_160,40.350,59.650,56.090,43.910,54.28,224,0.875,bicubic,-53.540,-42.990,-23 xception71,41.303,58.697,55.930,44.070,42.34,299,0.903,bicubic,-52.587,-42.860,+3
legacy_seresnext101_32x4d,40.323,59.677,54.843,45.157,48.96,224,0.875,bilinear,-53.847,-44.127,-45 adv_inception_v3,41.263,58.737,56.327,43.673,23.83,299,0.875,bicubic,-51.697,-42.173,+72
xception65,40.317,59.683,55.270,44.730,39.92,299,0.903,bicubic,-53.433,-43.600,-8 tv_resnet152,41.263,58.737,57.510,42.490,60.19,224,0.875,bilinear,-51.957,-41.280,+52
densenet201,40.300,59.700,56.763,43.237,20.01,224,0.875,bicubic,-52.390,-41.867,+55 gernet_s,41.210,58.790,58.700,41.300,8.17,224,0.875,bilinear,-51.270,-39.760,+93
hrnet_w48,40.157,59.843,56.597,43.403,77.47,224,0.875,bilinear,-53.873,-42.433,-35 dpn92,41.207,58.793,56.397,43.603,37.67,224,0.875,bicubic,-53.033,-42.553,-34
resnext50d_32x4d,40.153,59.847,55.587,44.413,25.05,224,0.875,bicubic,-53.647,-43.323,-21 resnetblur50,41.073,58.927,56.980,43.020,25.56,224,0.875,bicubic,-52.657,-41.830,+14
legacy_seresnet152,40.060,59.940,55.887,44.113,66.82,224,0.875,bilinear,-53.400,-42.963,+15 nf_regnet_b1,40.993,59.007,58.110,41.890,10.22,288,0.900,bicubic,-52.897,-40.840,0
tf_efficientnet_b1,40.043,59.957,56.213,43.787,7.79,240,0.882,bicubic,-53.667,-42.587,-11 gluon_inception_v3,40.957,59.043,55.663,44.337,23.83,299,0.875,bicubic,-52.623,-43.347,+28
vit_small_patch16_224,40.043,59.957,56.507,43.493,48.75,224,0.900,bicubic,-52.567,-41.883,+54 gluon_resnet50_v1d,40.930,59.070,57.180,42.820,25.58,224,0.875,bicubic,-52.600,-41.650,+33
hrnet_w30,40.010,59.990,57.107,42.893,37.71,224,0.875,bilinear,-53.380,-41.723,+16 resnet34d,40.910,59.090,56.503,43.497,21.82,224,0.875,bicubic,-51.700,-41.927,+82
regnetx_080,39.977,60.023,56.063,43.937,39.57,224,0.875,bicubic,-53.813,-42.847,-24 ese_vovnet39b,40.863,59.137,56.943,43.057,24.57,224,0.875,bicubic,-53.077,-41.987,-15
gluon_resnet101_v1c,39.957,60.043,55.253,44.747,44.57,224,0.875,bicubic,-53.703,-43.507,-9 regnety_320,40.773,59.227,56.200,43.800,145.05,224,0.875,bicubic,-53.727,-42.950,-62
res2net101_26w_4s,39.720,60.280,54.610,45.390,45.21,224,0.875,bilinear,-53.800,-44.020,+3 skresnext50_32x4d,40.707,59.293,56.023,43.977,27.48,224,0.875,bicubic,-53.193,-42.777,-10
regnetx_120,39.710,60.290,55.687,44.313,46.11,224,0.875,bicubic,-54.590,-43.513,-67 xception,40.687,59.313,56.333,43.667,22.86,299,0.897,bicubic,-52.993,-42.487,+11
res2net50_26w_8s,39.680,60.320,54.543,45.457,48.40,224,0.875,bilinear,-53.770,-44.167,+8 gluon_resnet101_v1b,40.647,59.353,56.217,43.783,44.55,224,0.875,bicubic,-53.103,-42.583,+3
hrnet_w44,39.667,60.333,55.317,44.683,67.06,224,0.875,bilinear,-53.963,-43.633,-9 repvgg_b1,40.637,59.363,57.880,42.120,57.42,224,0.875,bilinear,-52.803,-40.860,+32
xception41,39.657,60.343,54.983,45.017,26.97,299,0.903,bicubic,-53.823,-43.607,+1 hrnet_w40,40.620,59.380,56.637,43.363,57.56,224,0.875,bilinear,-52.900,-42.173,+26
tf_efficientnet_el,39.603,60.397,55.337,44.663,10.59,300,0.904,bicubic,-54.867,-43.743,-80 tf_efficientnet_lite3,40.607,59.393,56.537,43.463,8.20,300,0.904,bilinear,-53.533,-42.493,-42
dla102x,39.590,60.410,56.343,43.657,26.31,224,0.875,bilinear,-53.920,-42.507,-2 tresnet_m_448,40.517,59.483,56.667,43.333,31.39,448,0.875,bilinear,-54.153,-42.473,-78
densenet161,39.587,60.413,56.180,43.820,28.68,224,0.875,bicubic,-53.293,-42.480,+31 repvgg_b2,40.470,59.530,57.810,42.190,89.02,224,0.875,bilinear,-53.120,-41.280,+12
mixnet_xl,39.550,60.450,55.837,44.163,11.90,224,0.875,bicubic,-54.670,-42.983,-71 dla169,40.447,59.553,57.207,42.793,53.39,224,0.875,bilinear,-53.223,-41.683,+5
hrnet_w32,39.523,60.477,56.263,43.737,41.23,224,0.875,bilinear,-53.427,-42.577,+23 regnetx_320,40.440,59.560,55.640,44.360,107.81,224,0.875,bicubic,-53.790,-43.420,-49
rexnet_130,39.477,60.523,56.640,43.360,7.56,224,0.875,bicubic,-54.203,-42.310,-23 legacy_seresnext101_32x4d,40.413,59.587,54.847,45.153,48.96,224,0.875,bilinear,-53.697,-44.103,-43
regnety_064,39.397,60.603,55.807,44.193,30.58,224,0.875,bicubic,-54.743,-43.223,-64 tf_efficientnet_b0_ap,40.333,59.667,56.850,43.150,5.29,224,0.875,bicubic,-52.237,-41.560,+70
regnety_120,39.367,60.633,55.343,44.657,51.82,224,0.875,bicubic,-54.693,-43.677,-57 skresnet34,40.297,59.703,56.840,43.160,22.28,224,0.875,bicubic,-52.043,-41.680,+75
tf_inception_v3,39.350,60.650,54.373,45.627,23.83,299,0.875,bicubic,-53.860,-44.347,+7 efficientnet_b2_pruned,40.297,59.703,56.500,43.500,8.31,260,0.890,bicubic,-53.623,-42.410,-26
densenetblur121d,39.317,60.683,56.643,43.357,8.00,224,0.875,bicubic,-53.083,-41.777,+47 wide_resnet101_2,40.257,59.743,55.690,44.310,126.89,224,0.875,bilinear,-53.583,-43.110,-16
tv_resnet101,39.300,60.700,55.850,44.150,44.55,224,0.875,bilinear,-53.580,-42.960,+22 regnetx_160,40.247,59.753,56.033,43.967,54.28,224,0.875,bicubic,-53.763,-43.087,-38
gluon_resnet50_v1s,39.290,60.710,55.103,44.897,25.68,224,0.875,bicubic,-54.300,-43.727,-18 xception65,40.243,59.757,55.243,44.757,39.92,299,0.903,bicubic,-53.567,-43.607,-15
regnety_160,39.273,60.727,55.387,44.613,83.59,224,0.875,bicubic,-54.837,-43.623,-67 hrnet_w48,40.207,59.793,56.510,43.490,77.47,224,0.875,bilinear,-53.723,-42.510,-33
densenet169,39.177,60.823,55.850,44.150,14.15,224,0.875,bicubic,-53.123,-42.740,+46 densenet201,40.200,59.800,56.693,43.307,20.01,224,0.875,bicubic,-52.460,-41.987,+58
legacy_seresnet101,39.127,60.873,55.103,44.897,49.33,224,0.875,bilinear,-54.153,-43.647,-4 vit_small_patch16_224,40.150,59.850,56.563,43.437,48.75,224,0.900,bicubic,-52.470,-41.837,+59
regnety_080,38.977,61.023,55.187,44.813,39.18,224,0.875,bicubic,-54.923,-43.803,-57 hrnet_w30,40.147,59.853,57.083,42.917,37.71,224,0.875,bilinear,-53.223,-41.797,+17
dpn68,38.973,61.027,54.977,45.023,12.61,224,0.875,bicubic,-53.277,-43.623,+45 resnext50d_32x4d,40.120,59.880,55.503,44.497,25.05,224,0.875,bicubic,-53.870,-43.287,-41
efficientnet_b1_pruned,38.967,61.033,55.620,44.380,6.33,240,0.882,bicubic,-54.003,-42.900,+9 gluon_resnet101_v1c,40.043,59.957,55.203,44.797,44.57,224,0.875,bicubic,-53.707,-43.517,-18
inception_v3,38.960,61.040,53.850,46.150,23.83,299,0.875,bicubic,-53.940,-44.470,+13 tf_efficientnet_b1,39.973,60.027,56.087,43.913,7.79,240,0.882,bicubic,-53.737,-42.713,-14
legacy_seresnext50_32x4d,38.890,61.110,54.650,45.350,27.56,224,0.875,bilinear,-54.510,-44.150,-13 regnetx_080,39.963,60.037,55.920,44.080,39.57,224,0.875,bicubic,-53.947,-42.990,-37
dla102,38.887,61.113,55.337,44.663,33.27,224,0.875,bilinear,-54.413,-43.443,-11 legacy_seresnet152,39.940,60.060,55.787,44.213,66.82,224,0.875,bilinear,-53.390,-42.973,+14
regnety_040,38.830,61.170,55.600,44.400,20.65,224,0.875,bicubic,-54.780,-43.360,-31 res2net101_26w_4s,39.757,60.243,54.563,45.437,45.21,224,0.875,bilinear,-53.833,-44.137,-5
regnetx_040,38.807,61.193,55.490,44.510,22.12,224,0.875,bicubic,-54.873,-43.230,-39 hrnet_w44,39.723,60.277,55.357,44.643,67.06,224,0.875,bilinear,-53.937,-43.573,-13
regnetx_032,38.763,61.237,55.147,44.853,15.30,224,0.875,bicubic,-54.507,-43.593,-11 densenet161,39.697,60.303,56.183,43.817,28.68,224,0.875,bicubic,-53.293,-42.597,+28
densenet121,38.753,61.247,56.247,43.753,7.98,224,0.875,bicubic,-53.187,-42.033,+43 mixnet_xl,39.650,60.350,55.873,44.127,11.90,224,0.875,bicubic,-54.600,-42.967,-73
res2net50_14w_8s,38.720,61.280,54.203,45.797,25.06,224,0.875,bilinear,-54.290,-44.497,-3 res2net50_26w_8s,39.610,60.390,54.533,45.467,48.40,224,0.875,bilinear,-53.980,-44.177,-10
dla60_res2net,38.687,61.313,54.620,45.380,20.85,224,0.875,bilinear,-54.703,-44.220,-19 xception41,39.583,60.417,54.993,45.007,26.97,299,0.903,bicubic,-53.927,-43.757,0
res2net50_26w_6s,38.653,61.347,53.810,46.190,37.05,224,0.875,bilinear,-54.917,-44.940,-32 regnetx_120,39.580,60.420,55.680,44.320,46.11,224,0.875,bicubic,-54.660,-43.510,-73
selecsls60,38.627,61.373,55.697,44.303,30.67,224,0.875,bicubic,-54.383,-43.133,-5 dla102x,39.513,60.487,56.313,43.687,26.31,224,0.875,bilinear,-54.017,-42.547,-5
dla60x,38.610,61.390,55.490,44.510,17.35,224,0.875,bilinear,-54.600,-42.990,-13 hrnet_w32,39.503,60.497,56.057,43.943,41.23,224,0.875,bilinear,-53.497,-42.803,+21
selecsls60b,38.583,61.417,55.333,44.667,32.77,224,0.875,bicubic,-54.897,-43.507,-29 rexnet_130,39.397,60.603,56.647,43.353,7.56,224,0.875,bicubic,-54.223,-42.073,-19
tf_efficientnet_b0,38.540,61.460,56.077,43.923,5.29,224,0.875,bicubic,-53.860,-42.393,+26 regnety_120,39.357,60.643,55.270,44.730,51.82,224,0.875,bicubic,-54.603,-43.790,-55
dla60_res2next,38.530,61.470,55.007,44.993,17.03,224,0.875,bilinear,-55.030,-43.793,-36 regnety_064,39.317,60.683,55.823,44.177,30.58,224,0.875,bicubic,-54.793,-43.197,-69
regnetx_064,38.507,61.493,55.030,44.970,26.21,224,0.875,bicubic,-55.143,-44.020,-47 tv_resnet101,39.297,60.703,55.773,44.227,44.55,224,0.875,bilinear,-53.643,-42.867,+25
gluon_resnet50_v1b,38.457,61.543,54.907,45.093,25.56,224,0.875,bicubic,-54.093,-43.643,+17 densenetblur121d,39.290,60.710,56.577,43.423,8.00,224,0.875,bicubic,-53.020,-41.813,+51
tf_efficientnet_cc_b0_4e,38.423,61.577,55.203,44.797,13.31,224,0.875,bicubic,-54.417,-43.237,+1 tf_efficientnet_el,39.287,60.713,55.347,44.653,10.59,300,0.904,bicubic,-55.163,-43.753,-97
hrnet_w18,38.387,61.613,55.757,44.243,21.30,224,0.875,bilinear,-54.373,-42.893,+3 gluon_resnet50_v1s,39.283,60.717,55.003,44.997,25.68,224,0.875,bicubic,-54.277,-43.817,-17
resnetv2_50x1_bitm,38.300,61.700,57.023,42.977,25.55,480,1.000,bilinear,-56.230,-42.217,-119 regnety_160,39.270,60.730,55.450,44.550,83.59,224,0.875,bicubic,-55.010,-43.620,-88
mixnet_l,38.230,61.770,54.847,45.153,7.33,224,0.875,bicubic,-55.050,-43.863,-27 tf_inception_v3,39.247,60.753,54.237,45.763,23.83,299,0.875,bicubic,-53.953,-44.273,+1
gluon_resnet50_v1c,37.867,62.133,54.150,45.850,25.58,224,0.875,bicubic,-55.043,-44.560,-10 densenet169,39.120,60.880,55.850,44.150,14.15,224,0.875,bicubic,-53.080,-42.720,+50
efficientnet_b1,37.857,62.143,53.743,46.257,7.79,240,0.875,bicubic,-55.203,-44.787,-21 efficientnet_b1_pruned,39.027,60.973,55.623,44.377,6.33,240,0.882,bicubic,-53.973,-42.897,+9
efficientnet_es,37.837,62.163,54.980,45.020,5.44,224,0.875,bicubic,-55.093,-43.700,-13 legacy_seresnet101,39.017,60.983,55.027,44.973,49.33,224,0.875,bilinear,-54.233,-43.733,-5
res2net50_26w_4s,37.823,62.177,53.097,46.903,25.70,224,0.875,bilinear,-55.357,-45.573,-25 repvgg_b1g4,38.997,61.003,56.370,43.630,39.97,224,0.875,bilinear,-53.943,-42.430,+15
resnest14d,37.790,62.210,56.580,43.420,10.61,224,0.875,bilinear,-53.350,-41.770,+45 dpn68,38.983,61.017,54.897,45.103,12.61,224,0.875,bicubic,-53.307,-43.683,+43
tv_resnext50_32x4d,37.790,62.210,54.153,45.847,25.03,224,0.875,bilinear,-55.120,-44.577,-14 inception_v3,38.973,61.027,53.840,46.160,23.83,299,0.875,bicubic,-53.997,-44.490,+11
res2next50,37.537,62.463,52.863,47.137,24.67,224,0.875,bilinear,-55.593,-45.797,-27 regnety_080,38.947,61.053,55.203,44.797,39.18,224,0.875,bicubic,-54.853,-43.797,-49
resnet34,37.490,62.510,54.327,45.673,21.80,224,0.875,bilinear,-53.700,-43.903,+40 legacy_seresnext50_32x4d,38.947,61.053,54.637,45.363,27.56,224,0.875,bilinear,-54.613,-44.113,-25
tf_efficientnet_em,37.313,62.687,54.230,45.770,6.90,240,0.882,bicubic,-56.157,-44.520,-44 regnety_040,38.857,61.143,55.627,44.373,20.65,224,0.875,bicubic,-54.743,-43.363,-34
regnety_016,37.147,62.853,54.150,45.850,11.20,224,0.875,bicubic,-55.883,-44.540,-27 regnetx_032,38.777,61.223,55.257,44.743,15.30,224,0.875,bicubic,-54.573,-43.403,-15
res2net50_48w_2s,37.137,62.863,53.410,46.590,25.29,224,0.875,bilinear,-55.663,-45.050,-12 regnetx_040,38.743,61.257,55.340,44.660,22.12,224,0.875,bicubic,-54.967,-43.540,-46
dla60,37.117,62.883,54.293,45.707,22.04,224,0.875,bilinear,-55.573,-44.367,-10 densenet121,38.730,61.270,56.310,43.690,7.98,224,0.875,bicubic,-53.220,-41.870,+45
rexnet_100,37.063,62.937,54.070,45.930,4.80,224,0.875,bicubic,-55.787,-44.550,-16 res2net50_14w_8s,38.713,61.287,54.023,45.977,25.06,224,0.875,bilinear,-54.267,-44.597,+2
tf_mixnet_l,37.047,62.953,52.710,47.290,7.33,224,0.875,bicubic,-56.003,-45.830,-32 res2net50_26w_6s,38.697,61.303,53.787,46.213,37.05,224,0.875,bilinear,-54.853,-45.013,-30
legacy_seresnet50,36.933,63.067,53.520,46.480,28.09,224,0.875,bilinear,-55.737,-45.140,-11 dla102,38.677,61.323,55.250,44.750,33.27,224,0.875,bilinear,-54.593,-43.550,-18
tf_efficientnet_lite2,36.887,63.113,53.360,46.640,6.09,260,0.890,bicubic,-55.693,-45.190,-6 dla60x,38.663,61.337,55.463,44.537,17.35,224,0.875,bilinear,-54.417,-43.247,-9
regnetx_016,36.767,63.233,53.287,46.713,9.19,224,0.875,bicubic,-55.793,-45.223,-5 tf_efficientnet_b0,38.653,61.347,55.967,44.033,5.29,224,0.875,bicubic,-53.707,-42.503,+27
tv_densenet121,36.753,63.247,54.003,45.997,7.98,224,0.875,bicubic,-54.637,-44.247,+22 dla60_res2net,38.623,61.377,54.710,45.290,20.85,224,0.875,bilinear,-54.817,-44.160,-27
mobilenetv2_120d,36.710,63.290,53.953,46.047,5.83,224,0.875,bicubic,-55.900,-44.567,-13 selecsls60b,38.617,61.383,55.373,44.627,32.77,224,0.875,bicubic,-54.833,-43.477,-29
tf_efficientnet_lite1,36.667,63.333,53.687,46.313,5.42,240,0.882,bicubic,-55.653,-44.803,0 selecsls60,38.607,61.393,55.567,44.433,30.67,224,0.875,bicubic,-54.373,-43.183,-4
efficientnet_b0,36.613,63.387,53.493,46.507,5.29,224,0.875,bicubic,-55.857,-45.187,-5 repvgg_a2,38.567,61.433,55.827,44.173,28.21,224,0.875,bilinear,-54.133,-42.773,+10
skresnet18,36.343,63.657,54.257,45.743,11.96,224,0.875,bicubic,-53.817,-43.523,+37 regnetx_064,38.563,61.437,54.940,45.060,26.21,224,0.875,bicubic,-55.077,-44.100,-50
legacy_seresnet34,36.150,63.850,52.543,47.457,21.96,224,0.875,bilinear,-55.320,-45.657,+14 tf_efficientnet_cc_b0_4e,38.487,61.513,55.157,44.843,13.31,224,0.875,bicubic,-54.253,-43.393,+4
tv_resnet50,36.143,63.857,52.873,47.127,25.56,224,0.875,bilinear,-55.987,-45.547,+2 dla60_res2next,38.453,61.547,54.860,45.140,17.03,224,0.875,bilinear,-54.917,-43.960,-31
tv_resnet34,36.060,63.940,53.527,46.473,21.80,224,0.875,bilinear,-54.250,-44.443,+33 gluon_resnet50_v1b,38.410,61.590,54.833,45.167,25.56,224,0.875,bicubic,-54.320,-43.727,+4
tf_efficientnet_lite0,36.020,63.980,53.530,46.470,4.65,224,0.875,bicubic,-55.260,-44.560,+16 resnetv2_50x1_bitm,38.330,61.670,56.980,43.020,25.55,480,1.000,bilinear,-56.170,-42.280,-131
mobilenetv2_140,35.980,64.020,53.927,46.073,6.11,224,0.875,bicubic,-56.060,-44.323,0 hrnet_w18,38.267,61.733,55.633,44.367,21.30,224,0.875,bilinear,-54.593,-43.057,-5
selecsls42b,35.830,64.170,52.550,47.450,32.46,224,0.875,bicubic,-56.650,-45.890,-13 mixnet_l,38.123,61.877,54.793,45.207,7.33,224,0.875,bicubic,-55.027,-43.887,-24
gluon_resnet34_v1b,35.747,64.253,52.290,47.710,21.80,224,0.875,bicubic,-55.343,-45.890,+22 efficientnet_es,37.850,62.150,54.893,45.107,5.44,224,0.875,bicubic,-55.160,-43.847,-20
mixnet_m,35.680,64.320,52.443,47.557,5.01,224,0.875,bicubic,-56.580,-45.927,-8 efficientnet_b1,37.800,62.200,53.637,46.363,7.79,240,0.875,bicubic,-55.300,-44.953,-24
dla34,35.647,64.353,52.813,47.187,15.74,224,0.875,bilinear,-55.613,-45.367,+12 res2net50_26w_4s,37.780,62.220,53.120,46.880,25.70,224,0.875,bilinear,-55.430,-45.510,-31
efficientnet_lite0,35.643,64.357,53.697,46.303,4.65,224,0.875,bicubic,-55.617,-44.553,+12 resnest14d,37.763,62.237,56.503,43.497,10.61,224,0.875,bilinear,-53.407,-41.797,+45
ssl_resnet18,35.637,64.363,53.817,46.183,11.69,224,0.875,bilinear,-55.063,-44.213,+22 gluon_resnet50_v1c,37.717,62.283,54.100,45.900,25.58,224,0.875,bicubic,-55.273,-44.540,-19
mobilenetv3_rw,35.617,64.383,53.740,46.260,5.48,224,0.875,bicubic,-55.943,-44.530,+1 ecaresnet26t,37.663,62.337,54.447,45.553,16.01,320,0.950,bicubic,-56.257,-44.493,-92
tf_efficientnet_es,35.593,64.407,52.930,47.070,5.44,224,0.875,bicubic,-56.947,-45.580,-21 tv_resnext50_32x4d,37.623,62.377,54.100,45.900,25.03,224,0.875,bilinear,-55.317,-44.620,-14
mobilenetv2_110d,35.287,64.713,52.820,47.180,4.52,224,0.875,bicubic,-56.043,-45.370,+5 res2next50,37.523,62.477,52.810,47.190,24.67,224,0.875,bilinear,-55.657,-45.860,-34
hrnet_w18_small_v2,35.217,64.783,52.527,47.473,15.60,224,0.875,bilinear,-55.953,-45.833,+12 resnet34,37.410,62.590,54.327,45.673,21.80,224,0.875,bilinear,-53.920,-43.833,+34
tf_mixnet_m,35.210,64.790,50.977,49.023,5.01,224,0.875,bicubic,-56.960,-47.443,-13 res2net50_48w_2s,37.247,62.753,53.293,46.707,25.29,224,0.875,bilinear,-55.423,-45.167,-6
resnet18d,35.120,64.880,52.880,47.120,11.71,224,0.875,bicubic,-54.880,-44.960,+21 regnety_016,37.157,62.843,54.107,45.893,11.20,224,0.875,bicubic,-55.913,-44.633,-31
regnety_008,34.883,65.117,51.857,48.143,6.26,224,0.875,bicubic,-57.007,-46.563,-10 rexnet_100,37.063,62.937,54.073,45.927,4.80,224,0.875,bicubic,-55.697,-44.557,-14
ese_vovnet19b_dw,34.837,65.163,51.990,48.010,6.54,224,0.875,bicubic,-57.183,-46.530,-13 tf_mixnet_l,37.040,62.960,52.543,47.457,7.33,224,0.875,bicubic,-55.970,-45.997,-31
mobilenetv3_large_100,34.577,65.423,52.913,47.087,5.48,224,0.875,bicubic,-56.903,-45.417,-6 dla60,37.027,62.973,54.283,45.717,22.04,224,0.875,bilinear,-55.683,-44.367,-12
seresnext26tn_32x4d,34.567,65.433,51.470,48.530,16.81,224,0.875,bicubic,-58.203,-47.080,-43 mobilenetv2_120d,36.790,63.210,53.987,46.013,5.83,224,0.875,bicubic,-55.980,-44.493,-18
seresnext26d_32x4d,34.513,65.487,51.563,48.437,16.81,224,0.875,bicubic,-57.927,-46.977,-27 legacy_seresnet50,36.787,63.213,53.363,46.637,28.09,224,0.875,bilinear,-56.033,-45.287,-20
resnet26d,34.330,65.670,51.843,48.157,16.01,224,0.875,bicubic,-57.900,-46.627,-21 tv_densenet121,36.763,63.237,54.057,45.943,7.98,224,0.875,bicubic,-54.667,-44.223,+22
fbnetc_100,34.323,65.677,51.240,48.760,5.57,224,0.875,bilinear,-56.937,-46.580,-1 tf_efficientnet_lite1,36.750,63.250,53.487,46.513,5.42,240,0.882,bicubic,-55.580,-45.023,0
regnety_006,34.233,65.767,51.300,48.700,6.06,224,0.875,bicubic,-57.357,-47.130,-13 regnetx_016,36.707,63.293,53.350,46.650,9.19,224,0.875,bicubic,-55.913,-45.180,-13
seresnext26t_32x4d,34.197,65.803,51.420,48.580,16.82,224,0.875,bicubic,-58.783,-47.060,-61 tf_efficientnet_lite2,36.700,63.300,53.277,46.723,6.09,260,0.890,bicubic,-55.890,-45.293,-11
tf_mobilenetv3_large_100,33.990,66.010,51.530,48.470,5.48,224,0.875,bilinear,-57.420,-46.720,-10 efficientnet_b0,36.487,63.513,53.487,46.513,5.29,224,0.875,bicubic,-56.063,-45.153,-10
mnasnet_100,33.850,66.150,51.247,48.753,4.38,224,0.875,bicubic,-57.350,-46.793,-3 tf_efficientnet_em,36.343,63.657,52.767,47.233,6.90,240,0.882,bicubic,-56.817,-45.903,-47
regnetx_008,33.720,66.280,50.587,49.413,7.26,224,0.875,bicubic,-57.490,-47.783,-5 skresnet18,36.210,63.790,54.160,45.840,11.96,224,0.875,bicubic,-53.970,-43.700,+40
resnet26,33.583,66.417,51.017,48.983,16.00,224,0.875,bicubic,-57.867,-47.263,-14 repvgg_b0,36.197,63.803,53.873,46.127,15.82,224,0.875,bilinear,-55.403,-44.577,+10
mixnet_s,33.577,66.423,51.033,48.967,4.13,224,0.875,bicubic,-58.203,-47.267,-22 legacy_seresnet34,36.193,63.807,52.517,47.483,21.96,224,0.875,bilinear,-55.337,-45.803,+12
semnasnet_100,33.553,66.447,50.843,49.157,3.89,224,0.875,bicubic,-58.107,-47.417,-21 tv_resnet50,36.110,63.890,52.737,47.263,25.56,224,0.875,bilinear,-56.070,-45.683,-2
spnasnet_100,33.507,66.493,51.310,48.690,4.42,224,0.875,bilinear,-57.113,-46.640,+1 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
regnetx_006,33.213,66.787,50.297,49.703,6.20,224,0.875,bicubic,-57.537,-47.803,-2 tv_resnet34,36.023,63.977,53.493,46.507,21.80,224,0.875,bilinear,-54.367,-44.437,+33
resnet18,33.043,66.957,51.133,48.867,11.69,224,0.875,bilinear,-55.127,-45.987,+11 mobilenetv2_140,35.997,64.003,53.997,46.003,6.11,224,0.875,bicubic,-56.113,-44.253,-4
legacy_seresnext26_32x4d,32.747,67.253,49.207,50.793,16.79,224,0.875,bicubic,-59.833,-49.223,-49 tf_efficientnet_lite0,35.993,64.007,53.410,46.590,4.65,224,0.875,bicubic,-55.287,-44.650,+15
hrnet_w18_small,32.723,67.277,50.677,49.323,13.19,224,0.875,bilinear,-57.177,-47.223,+2 selecsls42b,35.790,64.210,52.427,47.573,32.46,224,0.875,bicubic,-56.680,-46.083,-17
legacy_seresnet18,32.633,67.367,50.360,49.640,11.78,224,0.875,bicubic,-56.627,-47.330,+4 gluon_resnet34_v1b,35.730,64.270,52.170,47.830,21.80,224,0.875,bicubic,-55.290,-45.970,+23
mobilenetv2_100,32.580,67.420,50.860,49.140,3.50,224,0.875,bicubic,-57.260,-46.980,+1 efficientnet_lite0,35.643,64.357,53.657,46.343,4.65,224,0.875,bicubic,-55.577,-44.533,+14
regnetx_004,32.567,67.433,49.407,50.593,5.16,224,0.875,bicubic,-56.883,-48.373,+1 ssl_resnet18,35.637,64.363,53.873,46.127,11.69,224,0.875,bilinear,-55.203,-44.147,+23
regnety_004,32.403,67.597,49.503,50.497,4.34,224,0.875,bicubic,-58.357,-48.577,-10 mobilenetv3_rw,35.580,64.420,53.667,46.333,5.48,224,0.875,bicubic,-55.970,-44.673,+1
gluon_resnet18_v1b,32.397,67.603,49.707,50.293,11.69,224,0.875,bicubic,-56.273,-47.403,+2 mixnet_m,35.570,64.430,52.423,47.577,5.01,224,0.875,bicubic,-56.640,-45.937,-14
tf_mixnet_s,32.230,67.770,48.607,51.393,4.13,224,0.875,bicubic,-59.460,-49.633,-33 dla34,35.567,64.433,52.770,47.230,15.74,224,0.875,bilinear,-55.663,-45.370,+9
tf_mobilenetv3_large_075,31.947,68.053,49.137,50.863,3.99,224,0.875,bilinear,-58.363,-48.743,-9 mobilenetv2_110d,35.337,64.663,52.850,47.150,4.52,224,0.875,bicubic,-55.763,-45.290,+16
tf_mobilenetv3_large_minimal_100,31.613,68.387,49.407,50.593,3.92,224,0.875,bilinear,-57.547,-47.913,-2 tf_mixnet_m,35.163,64.837,51.053,48.947,5.01,224,0.875,bicubic,-57.107,-47.437,-19
regnety_002,29.690,70.310,46.883,53.117,3.16,224,0.875,bicubic,-58.530,-50.547,-1 hrnet_w18_small_v2,35.163,64.837,52.423,47.577,15.60,224,0.875,bilinear,-56.127,-45.977,+5
regnetx_002,28.883,71.117,45.583,54.417,2.68,224,0.875,bicubic,-58.487,-51.407,0 resnet18d,34.993,65.007,52.877,47.123,11.71,224,0.875,bicubic,-54.867,-45.023,+24
dla60x_c,28.527,71.473,46.257,53.743,1.32,224,0.875,bilinear,-58.553,-50.883,0 ese_vovnet19b_dw,34.870,65.130,52.063,47.937,6.54,224,0.875,bicubic,-57.220,-46.447,-15
tf_mobilenetv3_small_100,27.347,72.653,44.490,55.510,2.54,224,0.875,bilinear,-58.633,-51.910,0 regnety_008,34.700,65.300,51.767,48.233,6.26,224,0.875,bicubic,-57.110,-46.643,-13
dla46x_c,26.277,73.723,43.903,56.097,1.07,224,0.875,bilinear,-59.193,-52.547,0 seresnext26d_32x4d,34.590,65.410,51.547,48.453,16.81,224,0.875,bicubic,-57.850,-47.003,-29
tf_mobilenetv3_small_075,26.273,73.727,43.713,56.287,2.04,224,0.875,bilinear,-58.257,-52.167,+1 mobilenetv3_large_100,34.573,65.427,52.797,47.203,5.48,224,0.875,bicubic,-56.917,-45.513,-7
dla46_c,25.490,74.510,43.953,56.047,1.30,224,0.875,bilinear,-59.220,-52.257,-1 seresnext26t_32x4d,34.493,65.507,51.317,48.683,16.81,224,0.875,bicubic,-58.247,-47.203,-46
tf_mobilenetv3_small_minimal_100,25.110,74.890,42.987,57.013,2.04,224,0.875,bilinear,-57.560,-52.013,0 resnet26d,34.313,65.687,51.677,48.323,16.01,224,0.875,bicubic,-57.787,-46.783,-21
pnasnet5large,6.983,93.017,19.613,80.387,86.06,331,0.911,bicubic,-10.887,-22.507,0 tf_efficientnet_es,34.247,65.753,51.357,48.643,5.44,224,0.875,bicubic,-57.833,-47.103,-20
ens_adv_inception_resnet_v2,6.550,93.450,18.623,81.377,55.85,299,0.897,bicubic,-9.690,-21.767,+2 regnety_006,34.243,65.757,51.323,48.677,6.06,224,0.875,bicubic,-57.327,-47.067,-14
inception_resnet_v2,6.313,93.687,18.147,81.853,55.85,299,0.897,bicubic,-10.477,-20.703,-1 fbnetc_100,34.220,65.780,51.183,48.817,5.57,224,0.875,bilinear,-56.920,-46.687,0
inception_v4,5.923,94.077,16.657,83.343,42.68,299,0.875,bicubic,-10.617,-20.723,-1 tf_mobilenetv3_large_100,33.993,66.007,51.397,48.603,5.48,224,0.875,bilinear,-57.417,-46.893,-11
regnetx_008,33.750,66.250,50.490,49.510,7.26,224,0.875,bicubic,-57.590,-47.860,-10
mnasnet_100,33.677,66.323,51.113,48.887,4.38,224,0.875,bicubic,-57.533,-46.917,-5
semnasnet_100,33.567,66.433,50.670,49.330,3.89,224,0.875,bicubic,-58.053,-47.640,-21
spnasnet_100,33.517,66.483,51.297,48.703,4.42,224,0.875,bilinear,-57.123,-46.623,+4
mixnet_s,33.503,66.497,51.047,48.953,4.13,224,0.875,bicubic,-58.297,-47.283,-25
resnet26,33.477,66.523,50.923,49.077,16.00,224,0.875,bicubic,-57.913,-47.437,-16
vgg19_bn,33.187,66.813,50.840,49.160,143.68,224,0.875,bilinear,-57.933,-47.320,-6
regnetx_006,33.173,66.827,50.267,49.733,6.20,224,0.875,bicubic,-57.747,-47.803,-3
resnet18,33.103,66.897,51.120,48.880,11.69,224,0.875,bilinear,-54.947,-45.990,+17
legacy_seresnext26_32x4d,32.823,67.177,49.200,50.800,16.79,224,0.875,bicubic,-59.707,-49.250,-49
vit_deit_tiny_patch16_224,32.757,67.243,50.273,49.727,5.72,224,0.900,bicubic,-56.873,-47.657,+6
hrnet_w18_small,32.677,67.323,50.637,49.363,13.19,224,0.875,bilinear,-56.963,-47.203,+4
legacy_seresnet18,32.660,67.340,50.277,49.723,11.78,224,0.875,bicubic,-56.630,-47.513,+7
gluon_resnet18_v1b,32.477,67.523,49.817,50.183,11.69,224,0.875,bicubic,-56.293,-47.263,+9
mobilenetv2_100,32.473,67.527,50.823,49.177,3.50,224,0.875,bicubic,-57.417,-47.027,-2
regnetx_004,32.457,67.543,49.383,50.617,5.16,224,0.875,bicubic,-57.153,-48.397,+2
regnety_004,32.370,67.630,49.390,50.610,4.34,224,0.875,bicubic,-58.380,-48.680,-10
tf_mixnet_s,32.143,67.857,48.447,51.553,4.13,224,0.875,bicubic,-59.517,-49.713,-37
tf_mobilenetv3_large_075,31.803,68.197,49.040,50.960,3.99,224,0.875,bilinear,-58.557,-48.800,-8
tf_mobilenetv3_large_minimal_100,31.653,68.347,49.397,50.603,3.92,224,0.875,bilinear,-57.637,-47.983,+1
vgg16_bn,30.383,69.617,47.363,52.637,138.37,224,0.875,bilinear,-60.237,-50.687,-12
regnety_002,29.733,70.267,46.833,53.167,3.16,224,0.875,bicubic,-58.447,-50.597,+3
vgg13_bn,28.860,71.140,46.617,53.383,133.05,224,0.875,bilinear,-60.340,-51.023,-1
regnetx_002,28.843,71.157,45.480,54.520,2.68,224,0.875,bicubic,-58.367,-51.420,+5
vgg19,28.490,71.510,45.117,54.883,143.67,224,0.875,bilinear,-61.200,-52.463,-10
vgg11_bn,28.443,71.557,46.400,53.600,132.87,224,0.875,bilinear,-59.867,-50.890,-2
dla60x_c,28.297,71.703,46.123,53.877,1.32,224,0.875,bilinear,-58.893,-50.967,+3
vgg16,27.870,72.130,44.650,55.350,138.36,224,0.875,bilinear,-61.620,-52.880,-9
tf_mobilenetv3_small_100,27.293,72.707,44.540,55.460,2.54,224,0.875,bilinear,-58.577,-51.770,+2
vgg11,26.487,73.513,43.400,56.600,132.86,224,0.875,bilinear,-60.883,-53.610,-2
vgg13,26.307,73.693,43.460,56.540,133.05,224,0.875,bilinear,-61.253,-53.700,-4
tf_mobilenetv3_small_075,26.217,73.783,43.683,56.317,2.04,224,0.875,bilinear,-58.553,-52.197,+1
dla46x_c,26.193,73.807,43.830,56.170,1.07,224,0.875,bilinear,-59.497,-52.630,-1
dla46_c,25.437,74.563,43.840,56.160,1.30,224,0.875,bilinear,-59.253,-52.380,0
tf_mobilenetv3_small_minimal_100,25.123,74.877,42.900,57.100,2.04,224,0.875,bilinear,-57.647,-52.180,0

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 79.730 79.737 20.270 20.263 89.517 89.450 10.483 10.550 828.41 224 0.875 bilinear -17.480 -17.243 -10.183 -10.210 +2 +4
3 ig_resnext101_32x32d 79.520 79.447 20.480 20.553 89.227 89.283 10.773 10.717 468.53 224 0.875 bilinear -17.360 -17.403 -10.433 -10.237 +4 +7
4 ig_resnext101_32x16d 78.830 78.963 21.170 21.037 88.463 88.437 11.537 11.563 194.03 224 0.875 bilinear -17.660 -17.417 -11.157 -11.123 +10 +19
5 tf_efficientnet_l2_ns_475 76.367 76.537 23.633 23.463 88.540 88.630 11.460 11.370 480.31 475 0.936 bicubic -19.573 -21.223 -10.860 -11.190 -4 -2
6 swsl_resnext101_32x16d 76.220 76.253 23.780 23.747 87.747 87.780 12.253 12.220 194.03 224 0.875 bilinear -20.060 -20.037 -11.773 -11.760 +15 +24
7 ig_resnext101_32x8d 75.897 24.103 86.253 86.193 13.747 13.807 88.79 224 0.875 bilinear -20.083 -19.983 -13.197 -13.157 +25 +35
8 swsl_resnext101_32x8d 75.590 75.463 24.410 24.537 87.043 86.840 12.957 13.160 88.79 224 0.875 bilinear -20.680 -20.807 -12.457 -12.750 +14 +24
9 tf_efficientnet_l2_ns 74.623 74.603 25.377 25.397 87.497 87.543 12.503 12.457 480.31 800 0.960 bicubic -21.707 -23.157 -12.013 -12.337 -9 -7
10 swsl_resnext101_32x4d 72.700 72.683 27.300 27.317 85.193 85.157 14.807 14.843 44.18 224 0.875 bilinear -23.380 -23.347 -14.347 -14.383 +20 +30
11 swsl_resnext50_32x4d 69.103 69.027 30.897 30.973 82.880 82.837 17.120 17.163 25.03 224 0.875 bilinear -26.507 -26.603 -16.560 -16.613 +26 +36
12 swsl_resnet50 68.357 68.220 31.643 31.780 83.383 83.330 16.617 16.670 25.56 224 0.875 bilinear -26.863 -27.070 -15.857 -15.980 +40 +47
13 tf_efficientnet_b7_ns 67.040 67.513 32.960 32.487 81.090 81.347 18.910 18.653 66.35 600 0.949 bicubic -30.730 -29.687 -18.800 -18.353 -11 -9
14 tf_efficientnet_b6_ns 65.460 65.577 34.540 34.423 79.447 79.537 20.553 20.463 43.04 528 0.942 bicubic -32.290 -31.433 -20.373 -20.173 -11 -9
15 tf_efficientnet_b5_ns 62.890 63.050 37.110 36.950 77.720 77.837 22.280 22.163 30.39 456 0.934 bicubic -34.070 -33.830 -21.950 -21.803 -9 -7
16 tf_efficientnet_b4_ns 61.087 61.277 38.913 38.723 76.060 76.220 23.940 23.780 19.34 380 0.922 bicubic -35.793 -35.403 -23.580 -23.460 -8 -2
17 tf_efficientnet_b8_ap 57.870 57.840 42.130 42.160 72.940 72.950 27.060 27.050 87.41 672 0.954 bicubic -38.830 -38.720 -26.610 -26.590 -6 0
18 tf_efficientnet_b3_ns 57.323 57.417 42.677 42.583 72.387 72.407 27.613 27.593 12.23 300 0.904 bicubic -38.787 -38.623 -27.073 -27.053 +9 +21
19 vit_large_patch16_384 54.803 54.773 45.197 45.227 70.107 70.040 29.893 29.960 304.72 384 1.000 bicubic -41.627 -41.607 -29.433 -29.600 -3 +5
20 vit_base_resnet50_384 54.333 54.390 45.667 45.610 69.503 69.590 30.497 30.410 98.95 384 1.000 bicubic -42.227 -42.070 -30.047 -29.970 -7 0
21 resnetv2_152x4_bitm 54.170 54.227 45.830 45.773 70.257 70.150 29.743 29.850 936.53 480 1.000 bilinear -42.860 -42.633 -29.453 -29.510 -16 -12
22 tf_efficientnet_b5_ap dm_nfnet_f6 53.920 54.077 46.080 45.923 69.190 69.017 30.810 30.983 30.39 438.36 456 576 0.934 0.956 bicubic -42.160 -42.893 -30.280 -30.723 +7 -15
23 tf_efficientnet_b6_ap tf_efficientnet_b5_ap 53.563 53.897 46.437 46.103 68.580 69.160 31.420 30.840 43.04 30.39 528 456 0.942 0.934 bicubic -42.817 -42.183 -31.020 -30.380 -6 +15
24 tf_efficientnet_b2_ns dm_nfnet_f5 53.507 53.723 46.493 46.277 70.393 68.493 29.607 31.507 9.11 377.21 260 544 0.890 0.954 bicubic -42.023 -42.997 -28.947 -31.187 +16 -12
25 tf_efficientnet_b7_ap tf_efficientnet_b6_ap 53.320 53.577 46.680 46.423 68.900 68.533 31.100 31.467 66.35 43.04 600 528 0.949 0.942 bicubic -43.040 -42.793 -30.650 -31.017 -7 0
26 tf_efficientnet_b8 tf_efficientnet_b2_ns 53.203 53.573 46.797 46.427 68.957 70.277 31.043 29.723 87.41 9.11 672 260 0.954 0.890 bicubic -43.577 -41.887 -30.573 -29.113 -17 +29
27 tf_efficientnet_b4_ap tf_efficientnet_b8 53.073 53.413 46.927 46.587 68.230 69.087 31.770 30.913 19.34 87.41 380 672 0.922 0.954 bicubic -42.427 -43.287 -31.160 -30.433 +16 -14
28 tf_efficientnet_b7 tf_efficientnet_b7_ap 52.303 53.267 47.697 46.733 68.227 68.873 31.773 31.127 66.35 600 0.949 bicubic -44.407 -43.083 -31.413 -30.717 -18 -1
29 swsl_resnet18 dm_nfnet_f3 52.243 53.240 47.757 46.760 70.503 68.100 29.497 31.900 11.69 254.92 224 416 0.875 0.940 bilinear bicubic -38.847 -43.420 -27.707 -31.540 +220 -14
30 vit_base_patch16_384 tf_efficientnet_b4_ap 51.037 53.060 48.963 46.940 65.390 68.157 34.610 31.843 86.86 19.34 384 380 1.000 0.922 bicubic -45.133 -42.460 -34.230 -31.183 -6 +22
31 resnetv2_152x2_bitm tf_efficientnet_b7 50.950 52.417 49.050 47.583 68.580 68.210 31.420 31.790 236.34 66.35 480 600 1.000 0.949 bilinear bicubic -45.630 -44.163 -30.930 -31.310 -19 -15
32 vit_large_patch16_224 swsl_resnet18 50.937 52.407 49.063 47.593 66.340 70.577 33.660 29.423 304.33 11.69 224 0.900 0.875 bicubic bilinear -44.353 -38.723 -32.970 -27.653 +16 +246
33 tf_efficientnet_b1_ns dm_nfnet_f4 50.770 52.290 49.230 47.710 67.960 67.093 32.040 32.907 7.79 316.07 240 512 0.882 0.951 bicubic -44.110 -44.510 -31.290 -32.547 +30 -22
34 ssl_resnext101_32x16d vit_deit_base_distilled_patch16_384 50.227 52.277 49.773 47.723 66.093 67.727 33.907 32.273 194.03 87.63 224 384 0.875 1.000 bilinear bicubic -45.173 -44.213 -33.317 -31.863 +11 -15
35 seresnet152d ecaresnet269d 50.183 51.687 49.817 48.313 65.123 66.043 34.877 33.957 66.84 102.09 256 352 0.940 1.000 bicubic -45.757 -44.733 -34.267 -33.597 +33 -13
36 resnest269e resnetv2_152x2_bitm 50.133 51.063 49.867 48.937 64.713 68.557 35.287 31.443 110.93 236.34 416 480 0.928 1.000 bicubic bilinear -46.037 -45.447 -34.807 -31.063 -10 -18
37 tf_efficientnet_b3_ap vit_large_patch16_224 50.093 50.967 49.907 49.033 65.277 66.170 34.723 33.830 12.23 304.33 300 224 0.904 0.900 bicubic -44.867 -44.313 -33.833 -33.140 +24 +25
38 resnet200d tf_efficientnet_b1_ns 49.850 50.917 50.150 49.083 64.730 67.963 35.270 32.037 64.69 7.79 256 240 0.940 0.882 bicubic -45.850 -43.933 -34.610 -31.277 -1 +39
39 resnest200e vit_base_patch16_384 49.807 50.907 50.193 49.093 64.780 65.270 35.220 34.730 70.20 86.86 320 384 0.909 1.000 bicubic -46.303 -45.283 -34.690 -34.280 -10 -6
40 resnetv2_101x3_bitm ssl_resnext101_32x16d 49.683 50.327 50.317 49.673 67.137 65.977 32.863 34.023 387.93 194.03 480 224 1.000 0.875 bilinear -46.787 -45.143 -32.523 -33.433 -24 +14
41 resnet152d resnest269e 49.637 50.323 50.363 49.677 64.740 64.713 35.260 35.287 60.21 110.93 256 416 0.940 0.928 bicubic -45.833 -45.817 -34.560 -34.827 +4 -7
42 tf_efficientnet_b5 tf_efficientnet_b3_ap 49.497 50.050 50.503 49.950 65.597 65.210 34.403 34.790 30.39 12.23 456 300 0.934 0.904 bicubic -46.563 -44.840 -33.943 -33.920 -10 +33
43 resnet200d_320 vit_deit_base_distilled_patch16_224 49.437 50.047 50.563 49.953 64.300 66.233 35.700 33.767 64.69 87.34 320 224 1.000 0.900 bicubic -46.683 -45.683 -35.220 -33.057 -16 +2
44 resnest101e resnetv2_101x3_bitm 49.380 49.827 50.620 50.173 65.527 66.987 34.473 33.013 48.28 387.93 256 480 0.875 1.000 bilinear -46.210 -46.523 -33.743 -32.613 -5 -18
45 resnet152d_320 resnest200e 49.267 49.777 50.733 50.223 64.427 64.693 35.573 35.307 60.21 70.20 320 1.000 0.909 bicubic -46.583 -46.303 -35.003 -34.757 -10 -8
46 seresnet152d_320 tf_efficientnet_b5 49.220 49.493 50.780 50.507 64.273 65.667 35.727 34.333 66.84 30.39 320 456 1.000 0.934 bicubic -47.140 -46.477 -35.357 -33.793 +18 -5
47 ssl_resnext101_32x8d resnet200d 49.140 49.487 50.860 50.513 65.507 64.347 34.493 35.653 88.79 64.69 224 320 0.875 1.000 bilinear bicubic -46.190 -46.643 -33.813 -35.093 +2 -12
48 efficientnet_b3a resnest101e 48.573 49.290 51.427 50.710 64.343 65.487 35.657 34.513 12.23 48.28 320 256 1.000 0.875 bicubic bilinear -46.577 -46.270 -34.867 -33.793 +10 +2
49 ecaresnet101d ssl_resnext101_32x8d 48.473 49.223 51.527 50.777 64.087 65.437 35.913 34.563 44.57 88.79 224 0.875 bicubic bilinear -46.687 -46.067 -35.143 -33.793 +7 +12
50 efficientnet_b3 seresnet152d 48.227 49.213 51.773 50.787 64.183 64.167 35.817 35.833 12.23 66.84 300 320 0.904 1.000 bicubic -46.743 -47.067 -35.057 -35.343 +11 -19
51 resnest50d_4s2x40d resnet152d 47.500 49.193 52.500 50.807 63.867 64.413 36.133 35.587 30.42 60.21 224 320 0.875 1.000 bicubic -47.210 -46.677 -35.263 -35.007 +19 -8
52 efficientnet_b3_pruned repvgg_b3 47.463 48.993 52.537 51.007 62.850 64.860 37.150 35.140 9.86 123.09 300 224 0.904 0.875 bicubic bilinear -47.117 -45.637 -36.220 -34.130 +26 +35
53 vit_base_patch16_224 dm_nfnet_f2 47.413 48.650 52.587 51.350 61.683 63.580 38.317 36.420 86.57 193.78 224 352 0.900 0.920 bicubic -47.807 -47.810 -37.717 -36.090 0 -32
54 resnet101d efficientnet_b3a 47.227 48.520 52.773 51.480 62.793 64.237 37.207 35.763 44.57 12.23 256 320 0.940 1.000 bicubic -48.053 -46.650 -36.467 -34.983 -3 +12
55 ssl_resnext101_32x4d ecaresnet101d 47.177 48.507 52.823 51.493 63.397 64.200 36.603 35.800 44.18 44.57 224 0.875 bilinear bicubic -47.983 -46.703 -35.903 -35.040 +2 +10
56 tf_efficientnet_b6 repvgg_b3g4 47.153 48.277 52.847 51.723 63.057 64.747 36.943 35.253 43.04 83.83 528 224 0.942 0.875 bicubic bilinear -49.197 -46.293 -36.543 -34.253 -34 +33
57 tf_efficientnet_b4 vit_large_patch32_384 47.040 48.183 52.960 51.817 62.903 61.797 37.097 38.203 19.34 306.63 380 384 0.922 1.000 bicubic -48.550 -47.057 -36.417 -37.513 -16 +7
58 resnet101d_320 efficientnet_b3 46.907 48.147 53.093 51.853 62.360 64.093 37.640 35.907 44.57 12.23 320 300 1.000 0.904 bicubic -48.843 -46.743 -37.080 -35.097 -21 +16
59 resnetv2_50x3_bitm repvgg_b2g4 46.857 47.783 53.143 52.217 64.907 64.430 35.093 35.570 217.32 61.76 480 224 1.000 0.875 bilinear -49.363 -46.107 -34.683 -34.540 -34 +90
60 gluon_seresnext101_64x4d resnest50d_4s2x40d 46.690 47.470 53.310 52.530 61.357 63.897 38.643 36.103 88.23 30.42 224 0.875 bicubic -47.940 -47.250 -37.613 -35.233 +16 +21
61 regnety_032 efficientnet_b3_pruned 46.643 47.423 53.357 52.577 62.210 62.810 37.790 37.190 19.44 9.86 224 300 0.875 0.904 bicubic -48.427 -47.127 -37.000 -36.250 -2 +30
62 tresnet_xl tf_efficientnet_b6 46.280 47.220 53.720 52.780 61.903 63.103 38.097 36.897 78.44 43.04 224 528 0.875 0.942 bilinear bicubic -48.790 -49.100 -37.347 -36.427 -2 -33
63 resnest50d_1s4x24d vit_base_patch16_224 46.130 47.220 53.870 52.780 62.480 61.647 37.520 38.353 25.68 86.57 224 0.875 0.900 bicubic -48.260 -48.070 -36.580 -37.703 +22 -3
64 tf_efficientnet_b0_ns ssl_resnext101_32x4d 46.047 47.197 53.953 52.803 63.280 63.290 36.720 36.710 5.29 44.18 224 0.875 bicubic bilinear -47.713 -47.953 -35.700 -36.030 +71 +3
65 resnest50d tf_efficientnet_b4 45.883 47.043 54.117 52.957 62.673 62.823 37.327 37.177 27.48 19.34 224 380 0.875 0.922 bilinear bicubic -48.737 -48.537 -36.357 -36.467 +12 -16
66 gluon_seresnext101_32x4d resnet101d 45.517 46.960 54.483 53.040 61.150 62.340 38.850 37.660 48.96 44.57 224 320 0.875 1.000 bicubic -48.913 -48.780 -37.940 -37.080 +18 -22
67 gluon_resnet152_v1d resnetv2_50x3_bitm 45.423 46.763 54.577 53.237 60.097 64.883 39.903 35.117 60.21 217.32 224 480 0.875 1.000 bicubic bilinear -49.027 -49.367 -38.903 -34.737 +15 -31
68 ssl_resnext50_32x4d regnety_032 45.370 46.663 54.630 53.337 61.983 62.357 38.017 37.643 25.03 19.44 224 0.875 bilinear bicubic -49.330 -48.467 -37.067 -36.863 +3 0
69 nasnetalarge dm_nfnet_f1 45.200 46.660 54.800 53.340 57.960 61.560 42.040 38.440 88.75 132.63 331 320 0.911 0.910 bicubic -49.970 -49.680 -41.170 -37.900 -14 -41
70 tresnet_xl_448 gluon_seresnext101_64x4d 45.157 46.617 54.843 53.383 61.440 61.373 38.560 38.627 78.44 88.23 448 224 0.875 bilinear bicubic -50.363 -47.883 -37.900 -37.597 -27 +22
71 tf_efficientnet_b3 tresnet_xl 45.103 46.280 54.897 53.720 60.680 62.017 39.320 37.983 12.23 78.44 300 224 0.904 0.875 bicubic bilinear -49.807 -48.710 -38.420 -37.203 -8 -1
72 rexnet_200 vit_deit_small_distilled_patch16_224 45.070 46.153 54.930 53.847 62.223 62.463 37.777 37.537 16.37 22.44 224 0.875 0.900 bicubic -49.600 -48.417 -36.867 -36.637 +1 +18
73 ecaresnetlight resnest50d_1s4x24d 44.910 46.127 55.090 53.873 60.770 62.353 39.230 37.647 30.16 25.68 224 0.875 bicubic -49.230 -48.213 -38.180 -36.707 +29 +34
74 vit_base_patch32_384 gernet_m 44.793 46.023 55.207 53.977 58.577 62.747 41.423 37.253 88.30 21.14 384 224 1.000 0.875 bicubic bilinear -50.457 -48.457 -40.603 -36.163 -22 +22
75 tf_efficientnet_b2_ap tf_efficientnet_b0_ns 44.740 45.993 55.260 54.007 60.700 63.237 39.300 36.763 9.11 5.29 260 224 0.890 0.875 bicubic -49.530 -47.587 -38.250 -35.593 +17 +103
76 tresnet_l resnest50d 44.357 45.817 55.643 54.183 59.953 62.650 40.047 37.350 55.99 27.48 224 0.875 bilinear -50.543 -48.673 -39.077 -36.350 -12 +19
77 gluon_resnext101_32x4d gluon_seresnext101_32x4d 44.330 45.533 55.670 54.467 59.097 61.103 40.903 38.897 44.18 48.96 224 0.875 bicubic -49.790 -48.867 -39.833 -38.007 +27 +25
78 cspresnext50 ssl_resnext50_32x4d 44.167 45.493 55.833 54.507 60.447 62.010 39.553 37.990 20.57 25.03 224 0.875 bilinear -49.583 -49.227 -38.393 -37.180 +58 +4
79 wide_resnet50_2 dm_nfnet_f0 44.167 45.447 55.833 54.553 59.680 61.010 40.320 38.990 68.88 71.49 224 256 0.875 0.900 bicubic -50.493 -50.203 -39.370 -38.290 -4 -33
80 gluon_resnet152_v1s gluon_resnet152_v1d 44.083 45.337 55.917 54.663 58.740 60.080 41.260 39.920 60.32 60.21 224 0.875 bicubic -50.617 -49.133 -40.500 -38.910 -8 +17
81 seresnext50_32x4d nasnetalarge 44.077 45.247 55.923 54.753 59.427 57.967 40.573 42.033 27.56 88.75 224 331 0.875 0.911 bicubic -50.733 -50.073 -39.703 -41.173 -14 -23
82 gluon_resnext101_64x4d tresnet_xl_448 43.893 45.223 56.107 54.777 58.713 61.403 41.287 38.597 83.46 78.44 224 448 0.875 bicubic bilinear -50.437 -50.297 -40.167 -38.017 +6 -31
83 ssl_resnet50 tf_efficientnet_b3 43.887 45.113 56.113 54.887 61.933 60.613 38.067 39.387 25.56 12.23 224 300 0.875 0.904 bilinear bicubic -50.433 -49.787 -37.227 -38.527 +6 -10
84 ecaresnet101d_pruned rexnet_200 43.787 45.093 56.213 54.907 59.650 62.343 40.350 37.657 24.88 16.37 224 0.875 bicubic -50.653 -49.507 -39.450 -36.717 -1 +4
85 ecaresnet50d ecaresnetlight 43.700 44.920 56.300 55.080 60.380 60.753 39.620 39.247 25.58 30.16 224 0.875 bicubic -50.500 -49.200 -38.640 -38.187 +10 +36
86 rexnet_150 vit_deit_base_patch16_224 43.580 44.917 56.420 55.083 60.840 59.200 39.160 40.800 9.73 86.57 224 0.875 0.900 bicubic -50.700 -50.053 -38.250 -39.800 +5 -15
87 gluon_resnet101_v1d vit_deit_base_patch16_384 43.420 44.763 56.580 55.237 58.560 59.567 41.440 40.433 44.57 86.86 224 384 0.875 1.000 bicubic -50.740 -50.857 -40.390 -39.673 +14 -39
88 gluon_resnet101_v1s gernet_l 43.407 44.723 56.593 55.277 58.700 59.047 41.300 40.953 44.67 31.08 224 256 0.875 bicubic bilinear -50.773 -50.217 -40.210 -40.133 +11 -16
89 cspdarknet53 vit_base_patch32_384 43.340 44.690 56.660 55.310 59.483 58.527 40.517 41.473 27.64 88.30 256 384 0.887 1.000 bilinear bicubic -50.760 -50.580 -39.497 -40.663 +18 -26
90 dpn68b tf_efficientnet_b2_ap 43.263 44.683 56.737 55.317 58.607 60.673 41.393 39.327 12.61 9.11 224 260 0.875 0.890 bicubic -50.337 -49.677 -40.103 -38.297 +62 +14
91 cspresnet50 ens_adv_inception_resnet_v2 43.130 44.360 56.870 55.640 59.213 58.077 40.787 41.923 21.62 55.84 256 299 0.887 0.897 bilinear bicubic -50.720 -49.710 -39.687 -40.713 +33 +37
92 resnest26d tresnet_l 43.110 44.353 56.890 55.647 60.590 59.907 39.410 40.093 17.07 55.99 224 0.875 bilinear -50.150 -50.477 -38.250 -39.153 +82 -14
93 resnetv2_101x1_bitm wide_resnet50_2 43.043 44.287 56.957 55.713 60.910 59.620 39.090 40.380 44.54 68.88 480 224 1.000 0.875 bilinear bicubic -52.457 -50.403 -38.600 -39.470 -49 -10
94 dpn131 gluon_resnext101_32x4d 43.020 44.180 56.980 55.820 57.430 59.077 42.570 40.923 79.25 44.18 224 0.875 bicubic -50.740 -50.010 -41.380 -39.843 +40 +23
95 gluon_resnet152_v1b cspresnext50 42.980 44.147 57.020 55.853 57.730 60.513 42.270 39.487 60.19 20.57 224 0.875 bicubic bilinear -51.040 -49.673 -41.300 -38.327 +19 +60
96 dpn107 seresnext50_32x4d 42.890 44.133 57.110 55.867 57.527 59.403 42.473 40.597 86.92 27.56 224 0.875 bicubic -51.070 -50.637 -41.323 -39.717 +20 -17
97 tf_efficientnet_lite4 gluon_resnet152_v1s 42.850 44.103 57.150 55.897 57.710 58.697 42.290 41.303 13.01 60.32 380 224 0.920 0.875 bilinear bicubic -52.020 -50.547 -41.380 -40.373 -31 -12
98 gluon_resnet152_v1c pnasnet5large 42.840 44.043 57.160 55.957 57.797 56.733 42.203 43.267 60.21 86.06 224 331 0.875 0.911 bicubic -51.030 -51.327 -41.003 -42.387 +24 -41
99 tf_efficientnet_b1_ap ssl_resnet50 42.827 44.020 57.173 55.980 58.850 61.947 41.150 38.053 7.79 25.56 240 224 0.882 0.875 bicubic bilinear -50.813 -50.230 -39.930 -37.133 +50 +14
100 tresnet_l_448 inception_resnet_v2 42.787 43.910 57.213 56.090 58.940 57.870 41.060 42.130 55.99 55.84 448 299 0.875 0.897 bilinear bicubic -52.613 -50.350 -40.340 -40.960 -52 +11
101 gluon_xception65 ecaresnet50d 42.730 43.830 57.270 56.170 58.870 60.340 41.130 39.660 39.92 25.58 299 224 0.903 0.875 bicubic -51.300 -50.310 -40.160 -38.600 +11 +19
102 resnet50d ecaresnet101d_pruned 42.700 43.810 57.300 56.190 58.770 59.653 41.230 40.347 25.58 24.88 224 0.875 bicubic -51.370 -50.650 -40.150 -39.477 +8 -4
103 tresnet_m gluon_resnext101_64x4d 42.690 43.790 57.310 56.210 58.213 58.703 41.787 41.297 31.39 83.46 224 0.875 bilinear bicubic -51.390 -50.560 -40.617 -40.127 +6 +2
104 gluon_seresnext50_32x4d rexnet_150 42.687 43.453 57.313 56.547 58.717 60.953 41.283 39.047 27.56 9.73 224 0.875 bicubic -51.493 -50.827 -40.303 -38.067 -6 +5
105 resnext101_32x8d ecaresnet50t 42.573 43.440 57.427 56.560 58.357 59.350 41.643 40.650 88.79 25.57 224 320 0.875 0.950 bilinear bicubic -51.197 -51.640 -40.593 -39.920 +28 -36
106 seresnet50 gluon_resnet101_v1d 42.493 43.440 57.507 56.560 58.770 58.540 41.230 41.460 28.09 44.57 224 0.875 bicubic -51.587 -50.680 -40.200 -40.380 +2 +16
107 legacy_senet154 cspdarknet53 42.290 43.343 57.710 56.657 56.563 59.413 43.437 40.587 115.09 27.64 224 256 0.875 0.887 bilinear -52.440 -50.747 -42.537 -39.557 -39 +20
108 dpn98 gluon_resnet101_v1s 42.277 43.260 57.723 56.740 56.933 58.507 43.067 41.493 61.57 44.67 224 0.875 bicubic -51.673 -51.030 -41.987 -40.533 +9 0
109 tf_efficientnet_cc_b1_8e dpn68b 42.277 43.190 57.723 56.810 58.523 58.633 41.477 41.367 39.72 12.61 240 224 0.882 0.875 bicubic -51.303 -50.420 -40.167 -40.137 +46 +64
110 tf_efficientnet_b2 resnetv2_101x1_bitm 42.197 43.103 57.803 56.897 58.207 60.920 41.793 39.080 9.11 44.54 260 480 0.890 1.000 bicubic bilinear -52.003 -52.407 -40.823 -38.600 -13 -57
111 gluon_resnext50_32x4d resnest26d 42.107 43.097 57.893 56.903 57.683 60.630 42.317 39.370 25.03 17.07 224 0.875 bicubic bilinear -51.563 -50.053 -41.017 -38.270 +34 +93
112 resnet50 dpn131 42.043 43.033 57.957 56.967 56.093 57.493 43.907 42.507 25.56 79.25 224 0.875 bicubic -51.437 -50.737 -42.667 -41.307 +51 +47
113 ecaresnet50d_pruned cspresnet50 42.000 43.023 58.000 56.977 58.330 59.107 41.670 40.893 19.94 21.62 224 256 0.875 0.887 bicubic bilinear -51.820 -50.817 -40.670 -39.793 +14 +39
114 efficientnet_b2a gluon_resnet152_v1c 41.940 42.937 58.060 57.063 58.303 57.803 41.697 42.197 9.11 60.21 288 224 1.000 0.875 bicubic -52.430 -50.963 -40.747 -41.047 -28 +31
115 gluon_senet154 tf_efficientnet_lite4 41.700 42.900 58.300 57.100 56.477 57.630 43.523 42.370 115.09 13.01 224 380 0.875 0.920 bicubic bilinear -53.010 -51.980 -42.493 -41.480 -46 -39
116 dla102x2 gluon_resnet152_v1b 41.670 42.890 58.330 57.110 58.033 57.580 41.967 42.420 41.28 60.19 224 0.875 bilinear bicubic -52.350 -51.110 -40.707 -41.190 -1 +18
117 efficientnet_b2 dpn107 41.660 42.877 58.340 57.123 58.057 57.410 41.943 42.590 9.11 86.92 260 224 0.875 bicubic -52.680 -51.113 -41.043 -41.460 -30 +18
118 hrnet_w64 gluon_xception65 41.623 42.837 58.377 57.163 57.177 58.820 42.823 41.180 128.06 39.92 224 299 0.875 0.903 bilinear bicubic -52.227 -51.173 -41.743 -40.190 +7 +14
119 tf_efficientnet_cc_b0_8e tf_efficientnet_b1_ap 41.533 42.803 58.467 57.197 57.393 58.840 42.607 41.160 24.01 7.79 224 240 0.875 0.882 bicubic -51.327 -50.877 -41.067 -39.970 +76 +48
120 efficientnet_em tresnet_l_448 41.477 42.780 58.523 57.220 58.877 58.940 41.123 41.060 6.90 55.99 240 448 0.882 0.875 bicubic bilinear -52.273 -52.640 -40.043 -40.360 +17 -64
121 resnext50_32x4d resnet50d 41.367 42.717 58.633 57.283 56.950 58.683 43.050 41.317 25.03 25.58 224 0.875 bicubic -52.483 -51.393 -41.880 -40.277 +5 +4
122 tv_resnet152 gluon_seresnext50_32x4d 41.317 42.680 58.683 57.320 57.587 58.620 42.413 41.380 60.19 27.56 224 0.875 bilinear bicubic -51.933 -51.360 -41.163 -40.450 +53 +7
123 xception71 tresnet_m 41.297 42.663 58.703 57.337 55.940 58.023 44.060 41.977 42.34 31.39 299 224 0.903 0.875 bicubic bilinear -52.603 -51.357 -43.010 -40.797 -3 +8
124 dpn92 resnext101_32x8d 41.257 42.597 58.743 57.403 56.327 58.153 43.673 41.847 37.67 88.79 224 0.875 bicubic bilinear -52.943 -51.223 -42.603 -40.797 -30 +32
125 adv_inception_v3 seresnet50 41.220 42.477 58.780 57.523 56.360 58.730 43.640 41.270 23.83 28.09 299 224 0.875 bicubic -51.770 -51.623 -42.120 -40.250 +60 +1
126 resnetblur50 nf_resnet50 41.077 42.387 58.923 57.613 57.080 59.490 42.920 40.510 25.56 224 288 0.875 0.940 bicubic -52.633 -52.033 -41.720 -39.610 +16 -26
127 gluon_resnet50_v1d dpn98 41.010 42.313 58.990 57.687 57.147 56.830 42.853 43.170 25.58 61.57 224 0.875 bicubic -52.540 -51.587 -41.563 -42.100 +31 +17
128 ese_vovnet39b tf_efficientnet_cc_b1_8e 40.887 42.220 59.113 57.780 57.020 58.433 42.980 41.567 24.57 39.72 224 240 0.875 0.882 bicubic -52.963 -51.340 -41.860 -40.247 -5 +54
129 gluon_inception_v3 vit_deit_small_patch16_224 40.880 42.200 59.120 57.800 55.670 57.930 44.330 42.070 23.83 22.05 299 224 0.875 0.900 bicubic -52.710 -51.690 -43.170 -40.990 +24 +19
130 resnet34d legacy_senet154 40.853 42.163 59.147 57.837 56.523 56.650 43.477 43.350 21.82 115.09 224 0.875 bicubic bilinear -51.787 -52.597 -41.917 -42.450 +74 -50
131 regnety_320 resnet50 40.837 42.117 59.163 57.883 56.180 55.910 43.820 44.090 145.05 25.56 224 0.875 bicubic -53.663 -51.383 -42.990 -42.670 -51 +57
132 xception gluon_resnext50_32x4d 40.793 42.113 59.207 57.887 56.510 57.653 43.490 42.347 22.86 25.03 299 224 0.897 0.875 bicubic -52.857 -51.587 -42.280 -41.047 +16 +34
133 gluon_resnet101_v1b tf_efficientnet_b2 40.707 42.090 59.293 57.910 56.180 58.133 43.820 41.867 44.55 9.11 224 260 0.875 0.890 bicubic -53.063 -52.100 -42.530 -40.897 -1 -15
134 skresnext50_32x4d efficientnet_b2a 40.700 41.963 59.300 58.037 56.013 58.293 43.987 41.707 27.48 9.11 224 288 0.875 1.000 bicubic -53.250 -52.437 -42.807 -40.757 -16 -33
135 hrnet_w40 ecaresnet50d_pruned 40.663 41.937 59.337 58.063 56.863 58.330 43.137 41.670 57.56 19.94 224 0.875 bilinear bicubic -53.047 -51.903 -41.937 -40.650 +6 +18
136 tf_efficientnet_lite3 gluon_senet154 40.613 41.683 59.387 58.317 56.567 56.383 43.433 43.617 8.20 115.09 300 224 0.904 0.875 bilinear bicubic -53.507 -52.967 -42.393 -42.607 -31 -50
137 regnetx_320 dla102x2 40.533 41.607 59.467 58.393 55.663 57.960 44.337 42.040 107.81 41.28 224 0.875 bicubic bilinear -53.667 -52.433 -43.387 -40.940 -41 -7
138 dla169 efficientnet_b2 40.513 41.590 59.487 58.410 57.317 58.087 42.683 41.913 53.39 9.11 224 260 0.875 bilinear bicubic -53.267 -52.750 -41.523 -41.033 -7 -32
139 tresnet_m_448 inception_v4 40.510 41.560 59.490 58.440 56.667 55.400 43.333 44.600 31.39 42.68 448 299 0.875 bilinear bicubic -54.160 -52.830 -42.503 -43.430 -65 -36
140 wide_resnet101_2 hrnet_w64 40.467 41.547 59.533 58.453 55.873 57.107 44.127 42.893 126.89 128.06 224 0.875 bilinear -53.263 -52.403 -42.937 -41.853 -1 -2
141 efficientnet_b2_pruned tf_efficientnet_cc_b0_8e 40.460 41.493 59.540 58.507 56.607 57.223 43.393 42.777 8.31 24.01 260 224 0.890 0.875 bicubic -53.340 -51.357 -42.113 -41.257 -12 +81
142 skresnet34 efficientnet_em 40.377 41.477 59.623 58.523 56.797 58.883 43.203 41.117 22.28 6.90 224 240 0.875 0.882 bicubic -52.183 -52.253 -41.753 -40.057 +68 +20
143 tf_efficientnet_b0_ap resnext50_32x4d 40.363 41.403 59.637 58.597 56.830 57.007 43.170 42.993 5.29 25.03 224 0.875 bicubic -52.237 -52.447 -41.540 -41.783 +64 +8
144 regnetx_160 xception71 40.350 41.303 59.650 58.697 56.090 55.930 43.910 44.070 54.28 42.34 224 299 0.875 0.903 bicubic -53.540 -52.587 -42.990 -42.860 -23 +3
145 legacy_seresnext101_32x4d adv_inception_v3 40.323 41.263 59.677 58.737 54.843 56.327 45.157 43.673 48.96 23.83 224 299 0.875 bilinear bicubic -53.847 -51.697 -44.127 -42.173 -45 +72
146 xception65 tv_resnet152 40.317 41.263 59.683 58.737 55.270 57.510 44.730 42.490 39.92 60.19 299 224 0.903 0.875 bicubic bilinear -53.433 -51.957 -43.600 -41.280 -8 +52
147 densenet201 gernet_s 40.300 41.210 59.700 58.790 56.763 58.700 43.237 41.300 20.01 8.17 224 0.875 bicubic bilinear -52.390 -51.270 -41.867 -39.760 +55 +93
148 hrnet_w48 dpn92 40.157 41.207 59.843 58.793 56.597 56.397 43.403 43.603 77.47 37.67 224 0.875 bilinear bicubic -53.873 -53.033 -42.433 -42.553 -35 -34
149 resnext50d_32x4d resnetblur50 40.153 41.073 59.847 58.927 55.587 56.980 44.413 43.020 25.05 25.56 224 0.875 bicubic -53.647 -52.657 -43.323 -41.830 -21 +14
150 legacy_seresnet152 nf_regnet_b1 40.060 40.993 59.940 59.007 55.887 58.110 44.113 41.890 66.82 10.22 224 288 0.875 0.900 bilinear bicubic -53.400 -52.897 -42.963 -40.840 +15 0
151 tf_efficientnet_b1 gluon_inception_v3 40.043 40.957 59.957 59.043 56.213 55.663 43.787 44.337 7.79 23.83 240 299 0.882 0.875 bicubic -53.667 -52.623 -42.587 -43.347 -11 +28
152 vit_small_patch16_224 gluon_resnet50_v1d 40.043 40.930 59.957 59.070 56.507 57.180 43.493 42.820 48.75 25.58 224 0.900 0.875 bicubic -52.567 -52.600 -41.883 -41.650 +54 +33
153 hrnet_w30 resnet34d 40.010 40.910 59.990 59.090 57.107 56.503 42.893 43.497 37.71 21.82 224 0.875 bilinear bicubic -53.380 -51.700 -41.723 -41.927 +16 +82
154 regnetx_080 ese_vovnet39b 39.977 40.863 60.023 59.137 56.063 56.943 43.937 43.057 39.57 24.57 224 0.875 bicubic -53.813 -53.077 -42.847 -41.987 -24 -15
155 gluon_resnet101_v1c regnety_320 39.957 40.773 60.043 59.227 55.253 56.200 44.747 43.800 44.57 145.05 224 0.875 bicubic -53.703 -53.727 -43.507 -42.950 -9 -62
156 res2net101_26w_4s skresnext50_32x4d 39.720 40.707 60.280 59.293 54.610 56.023 45.390 43.977 45.21 27.48 224 0.875 bilinear bicubic -53.800 -53.193 -44.020 -42.777 +3 -10
157 regnetx_120 xception 39.710 40.687 60.290 59.313 55.687 56.333 44.313 43.667 46.11 22.86 224 299 0.875 0.897 bicubic -54.590 -52.993 -43.513 -42.487 -67 +11
158 res2net50_26w_8s gluon_resnet101_v1b 39.680 40.647 60.320 59.353 54.543 56.217 45.457 43.783 48.40 44.55 224 0.875 bilinear bicubic -53.770 -53.103 -44.167 -42.583 +8 +3
159 hrnet_w44 repvgg_b1 39.667 40.637 60.333 59.363 55.317 57.880 44.683 42.120 67.06 57.42 224 0.875 bilinear -53.963 -52.803 -43.633 -40.860 -9 +32
160 xception41 hrnet_w40 39.657 40.620 60.343 59.380 54.983 56.637 45.017 43.363 26.97 57.56 299 224 0.903 0.875 bicubic bilinear -53.823 -52.900 -43.607 -42.173 +1 +26
161 tf_efficientnet_el tf_efficientnet_lite3 39.603 40.607 60.397 59.393 55.337 56.537 44.663 43.463 10.59 8.20 300 0.904 bicubic bilinear -54.867 -53.533 -43.743 -42.493 -80 -42
162 dla102x tresnet_m_448 39.590 40.517 60.410 59.483 56.343 56.667 43.657 43.333 26.31 31.39 224 448 0.875 bilinear -53.920 -54.153 -42.507 -42.473 -2 -78
163 densenet161 repvgg_b2 39.587 40.470 60.413 59.530 56.180 57.810 43.820 42.190 28.68 89.02 224 0.875 bicubic bilinear -53.293 -53.120 -42.480 -41.280 +31 +12
164 mixnet_xl dla169 39.550 40.447 60.450 59.553 55.837 57.207 44.163 42.793 11.90 53.39 224 0.875 bicubic bilinear -54.670 -53.223 -42.983 -41.683 -71 +5
165 hrnet_w32 regnetx_320 39.523 40.440 60.477 59.560 56.263 55.640 43.737 44.360 41.23 107.81 224 0.875 bilinear bicubic -53.427 -53.790 -42.577 -43.420 +23 -49
166 rexnet_130 legacy_seresnext101_32x4d 39.477 40.413 60.523 59.587 56.640 54.847 43.360 45.153 7.56 48.96 224 0.875 bicubic bilinear -54.203 -53.697 -42.310 -44.103 -23 -43
167 regnety_064 tf_efficientnet_b0_ap 39.397 40.333 60.603 59.667 55.807 56.850 44.193 43.150 30.58 5.29 224 0.875 bicubic -54.743 -52.237 -43.223 -41.560 -64 +70
168 regnety_120 skresnet34 39.367 40.297 60.633 59.703 55.343 56.840 44.657 43.160 51.82 22.28 224 0.875 bicubic -54.693 -52.043 -43.677 -41.680 -57 +75
169 tf_inception_v3 efficientnet_b2_pruned 39.350 40.297 60.650 59.703 54.373 56.500 45.627 43.500 23.83 8.31 299 260 0.875 0.890 bicubic -53.860 -53.623 -44.347 -42.410 +7 -26
170 densenetblur121d wide_resnet101_2 39.317 40.257 60.683 59.743 56.643 55.690 43.357 44.310 8.00 126.89 224 0.875 bicubic bilinear -53.083 -53.583 -41.777 -43.110 +47 -16
171 tv_resnet101 regnetx_160 39.300 40.247 60.700 59.753 55.850 56.033 44.150 43.967 44.55 54.28 224 0.875 bilinear bicubic -53.580 -53.763 -42.960 -43.087 +22 -38
172 gluon_resnet50_v1s xception65 39.290 40.243 60.710 59.757 55.103 55.243 44.897 44.757 25.68 39.92 224 299 0.875 0.903 bicubic -54.300 -53.567 -43.727 -43.607 -18 -15
173 regnety_160 hrnet_w48 39.273 40.207 60.727 59.793 55.387 56.510 44.613 43.490 83.59 77.47 224 0.875 bicubic bilinear -54.837 -53.723 -43.623 -42.510 -67 -33
174 densenet169 densenet201 39.177 40.200 60.823 59.800 55.850 56.693 44.150 43.307 14.15 20.01 224 0.875 bicubic -53.123 -52.460 -42.740 -41.987 +46 +58
175 legacy_seresnet101 vit_small_patch16_224 39.127 40.150 60.873 59.850 55.103 56.563 44.897 43.437 49.33 48.75 224 0.875 0.900 bilinear bicubic -54.153 -52.470 -43.647 -41.837 -4 +59
176 regnety_080 hrnet_w30 38.977 40.147 61.023 59.853 55.187 57.083 44.813 42.917 39.18 37.71 224 0.875 bicubic bilinear -54.923 -53.223 -43.803 -41.797 -57 +17
177 dpn68 resnext50d_32x4d 38.973 40.120 61.027 59.880 54.977 55.503 45.023 44.497 12.61 25.05 224 0.875 bicubic -53.277 -53.870 -43.623 -43.287 +45 -41
178 efficientnet_b1_pruned gluon_resnet101_v1c 38.967 40.043 61.033 59.957 55.620 55.203 44.380 44.797 6.33 44.57 240 224 0.882 0.875 bicubic -54.003 -53.707 -42.900 -43.517 +9 -18
179 inception_v3 tf_efficientnet_b1 38.960 39.973 61.040 60.027 53.850 56.087 46.150 43.913 23.83 7.79 299 240 0.875 0.882 bicubic -53.940 -53.737 -44.470 -42.713 +13 -14
180 legacy_seresnext50_32x4d regnetx_080 38.890 39.963 61.110 60.037 54.650 55.920 45.350 44.080 27.56 39.57 224 0.875 bilinear bicubic -54.510 -53.947 -44.150 -42.990 -13 -37
181 dla102 legacy_seresnet152 38.887 39.940 61.113 60.060 55.337 55.787 44.663 44.213 33.27 66.82 224 0.875 bilinear -54.413 -53.390 -43.443 -42.973 -11 +14
182 regnety_040 res2net101_26w_4s 38.830 39.757 61.170 60.243 55.600 54.563 44.400 45.437 20.65 45.21 224 0.875 bicubic bilinear -54.780 -53.833 -43.360 -44.137 -31 -5
183 regnetx_040 hrnet_w44 38.807 39.723 61.193 60.277 55.490 55.357 44.510 44.643 22.12 67.06 224 0.875 bicubic bilinear -54.873 -53.937 -43.230 -43.573 -39 -13
184 regnetx_032 densenet161 38.763 39.697 61.237 60.303 55.147 56.183 44.853 43.817 15.30 28.68 224 0.875 bicubic -54.507 -53.293 -43.593 -42.597 -11 +28
185 densenet121 mixnet_xl 38.753 39.650 61.247 60.350 56.247 55.873 43.753 44.127 7.98 11.90 224 0.875 bicubic -53.187 -54.600 -42.033 -42.967 +43 -73
186 res2net50_14w_8s res2net50_26w_8s 38.720 39.610 61.280 60.390 54.203 54.533 45.797 45.467 25.06 48.40 224 0.875 bilinear -54.290 -53.980 -44.497 -44.177 -3 -10
187 dla60_res2net xception41 38.687 39.583 61.313 60.417 54.620 54.993 45.380 45.007 20.85 26.97 224 299 0.875 0.903 bilinear bicubic -54.703 -53.927 -44.220 -43.757 -19 0
188 res2net50_26w_6s regnetx_120 38.653 39.580 61.347 60.420 53.810 55.680 46.190 44.320 37.05 46.11 224 0.875 bilinear bicubic -54.917 -54.660 -44.940 -43.510 -32 -73
189 selecsls60 dla102x 38.627 39.513 61.373 60.487 55.697 56.313 44.303 43.687 30.67 26.31 224 0.875 bicubic bilinear -54.383 -54.017 -43.133 -42.547 -5
190 dla60x hrnet_w32 38.610 39.503 61.390 60.497 55.490 56.057 44.510 43.943 17.35 41.23 224 0.875 bilinear -54.600 -53.497 -42.990 -42.803 -13 +21
191 selecsls60b rexnet_130 38.583 39.397 61.417 60.603 55.333 56.647 44.667 43.353 32.77 7.56 224 0.875 bicubic -54.897 -54.223 -43.507 -42.073 -29 -19
192 tf_efficientnet_b0 regnety_120 38.540 39.357 61.460 60.643 56.077 55.270 43.923 44.730 5.29 51.82 224 0.875 bicubic -53.860 -54.603 -42.393 -43.790 +26 -55
193 dla60_res2next regnety_064 38.530 39.317 61.470 60.683 55.007 55.823 44.993 44.177 17.03 30.58 224 0.875 bilinear bicubic -55.030 -54.793 -43.793 -43.197 -36 -69
194 regnetx_064 tv_resnet101 38.507 39.297 61.493 60.703 55.030 55.773 44.970 44.227 26.21 44.55 224 0.875 bicubic bilinear -55.143 -53.643 -44.020 -42.867 -47 +25
195 gluon_resnet50_v1b densenetblur121d 38.457 39.290 61.543 60.710 54.907 56.577 45.093 43.423 25.56 8.00 224 0.875 bicubic -54.093 -53.020 -43.643 -41.813 +17 +51
196 tf_efficientnet_cc_b0_4e tf_efficientnet_el 38.423 39.287 61.577 60.713 55.203 55.347 44.797 44.653 13.31 10.59 224 300 0.875 0.904 bicubic -54.417 -55.163 -43.237 -43.753 +1 -97
197 hrnet_w18 gluon_resnet50_v1s 38.387 39.283 61.613 60.717 55.757 55.003 44.243 44.997 21.30 25.68 224 0.875 bilinear bicubic -54.373 -54.277 -42.893 -43.817 +3 -17
198 resnetv2_50x1_bitm regnety_160 38.300 39.270 61.700 60.730 57.023 55.450 42.977 44.550 25.55 83.59 480 224 1.000 0.875 bilinear bicubic -56.230 -55.010 -42.217 -43.620 -119 -88
199 mixnet_l tf_inception_v3 38.230 39.247 61.770 60.753 54.847 54.237 45.153 45.763 7.33 23.83 224 299 0.875 bicubic -55.050 -53.953 -43.863 -44.273 -27 +1
200 gluon_resnet50_v1c densenet169 37.867 39.120 62.133 60.880 54.150 55.850 45.850 44.150 25.58 14.15 224 0.875 bicubic -55.043 -53.080 -44.560 -42.720 -10 +50
201 efficientnet_b1 efficientnet_b1_pruned 37.857 39.027 62.143 60.973 53.743 55.623 46.257 44.377 7.79 6.33 240 0.875 0.882 bicubic -55.203 -53.973 -44.787 -42.897 -21 +9
202 efficientnet_es legacy_seresnet101 37.837 39.017 62.163 60.983 54.980 55.027 45.020 44.973 5.44 49.33 224 0.875 bicubic bilinear -55.093 -54.233 -43.700 -43.733 -13 -5
203 res2net50_26w_4s repvgg_b1g4 37.823 38.997 62.177 61.003 53.097 56.370 46.903 43.630 25.70 39.97 224 0.875 bilinear -55.357 -53.943 -45.573 -42.430 -25 +15
204 resnest14d dpn68 37.790 38.983 62.210 61.017 56.580 54.897 43.420 45.103 10.61 12.61 224 0.875 bilinear bicubic -53.350 -53.307 -41.770 -43.683 +45 +43
205 tv_resnext50_32x4d inception_v3 37.790 38.973 62.210 61.027 54.153 53.840 45.847 46.160 25.03 23.83 224 299 0.875 bilinear bicubic -55.120 -53.997 -44.577 -44.490 -14 +11
206 res2next50 regnety_080 37.537 38.947 62.463 61.053 52.863 55.203 47.137 44.797 24.67 39.18 224 0.875 bilinear bicubic -55.593 -54.853 -45.797 -43.797 -27 -49
207 resnet34 legacy_seresnext50_32x4d 37.490 38.947 62.510 61.053 54.327 54.637 45.673 45.363 21.80 27.56 224 0.875 bilinear -53.700 -54.613 -43.903 -44.113 +40 -25
208 tf_efficientnet_em regnety_040 37.313 38.857 62.687 61.143 54.230 55.627 45.770 44.373 6.90 20.65 240 224 0.882 0.875 bicubic -56.157 -54.743 -44.520 -43.363 -44 -34
209 regnety_016 regnetx_032 37.147 38.777 62.853 61.223 54.150 55.257 45.850 44.743 11.20 15.30 224 0.875 bicubic -55.883 -54.573 -44.540 -43.403 -27 -15
210 res2net50_48w_2s regnetx_040 37.137 38.743 62.863 61.257 53.410 55.340 46.590 44.660 25.29 22.12 224 0.875 bilinear bicubic -55.663 -54.967 -45.050 -43.540 -12 -46
211 dla60 densenet121 37.117 38.730 62.883 61.270 54.293 56.310 45.707 43.690 22.04 7.98 224 0.875 bilinear bicubic -55.573 -53.220 -44.367 -41.870 -10 +45
212 rexnet_100 res2net50_14w_8s 37.063 38.713 62.937 61.287 54.070 54.023 45.930 45.977 4.80 25.06 224 0.875 bicubic bilinear -55.787 -54.267 -44.550 -44.597 -16 +2
213 tf_mixnet_l res2net50_26w_6s 37.047 38.697 62.953 61.303 52.710 53.787 47.290 46.213 7.33 37.05 224 0.875 bicubic bilinear -56.003 -54.853 -45.830 -45.013 -32 -30
214 legacy_seresnet50 dla102 36.933 38.677 63.067 61.323 53.520 55.250 46.480 44.750 28.09 33.27 224 0.875 bilinear -55.737 -54.593 -45.140 -43.550 -11 -18
215 tf_efficientnet_lite2 dla60x 36.887 38.663 63.113 61.337 53.360 55.463 46.640 44.537 6.09 17.35 260 224 0.890 0.875 bicubic bilinear -55.693 -54.417 -45.190 -43.247 -6 -9
216 regnetx_016 tf_efficientnet_b0 36.767 38.653 63.233 61.347 53.287 55.967 46.713 44.033 9.19 5.29 224 0.875 bicubic -55.793 -53.707 -45.223 -42.503 -5 +27
217 tv_densenet121 dla60_res2net 36.753 38.623 63.247 61.377 54.003 54.710 45.997 45.290 7.98 20.85 224 0.875 bicubic bilinear -54.637 -54.817 -44.247 -44.160 +22 -27
218 mobilenetv2_120d selecsls60b 36.710 38.617 63.290 61.383 53.953 55.373 46.047 44.627 5.83 32.77 224 0.875 bicubic -55.900 -54.833 -44.567 -43.477 -13 -29
219 tf_efficientnet_lite1 selecsls60 36.667 38.607 63.333 61.393 53.687 55.567 46.313 44.433 5.42 30.67 240 224 0.882 0.875 bicubic -55.653 -54.373 -44.803 -43.183 0 -4
220 efficientnet_b0 repvgg_a2 36.613 38.567 63.387 61.433 53.493 55.827 46.507 44.173 5.29 28.21 224 0.875 bicubic bilinear -55.857 -54.133 -45.187 -42.773 -5 +10
221 skresnet18 regnetx_064 36.343 38.563 63.657 61.437 54.257 54.940 45.743 45.060 11.96 26.21 224 0.875 bicubic -53.817 -55.077 -43.523 -44.100 +37 -50
222 legacy_seresnet34 tf_efficientnet_cc_b0_4e 36.150 38.487 63.850 61.513 52.543 55.157 47.457 44.843 21.96 13.31 224 0.875 bilinear bicubic -55.320 -54.253 -45.657 -43.393 +14 +4
223 tv_resnet50 dla60_res2next 36.143 38.453 63.857 61.547 52.873 54.860 47.127 45.140 25.56 17.03 224 0.875 bilinear -55.987 -54.917 -45.547 -43.960 +2 -31
224 tv_resnet34 gluon_resnet50_v1b 36.060 38.410 63.940 61.590 53.527 54.833 46.473 45.167 21.80 25.56 224 0.875 bilinear bicubic -54.250 -54.320 -44.443 -43.727 +33 +4
225 tf_efficientnet_lite0 resnetv2_50x1_bitm 36.020 38.330 63.980 61.670 53.530 56.980 46.470 43.020 4.65 25.55 224 480 0.875 1.000 bicubic bilinear -55.260 -56.170 -44.560 -42.280 +16 -131
226 mobilenetv2_140 hrnet_w18 35.980 38.267 64.020 61.733 53.927 55.633 46.073 44.367 6.11 21.30 224 0.875 bicubic bilinear -56.060 -54.593 -44.323 -43.057 0 -5
227 selecsls42b mixnet_l 35.830 38.123 64.170 61.877 52.550 54.793 47.450 45.207 32.46 7.33 224 0.875 bicubic -56.650 -55.027 -45.890 -43.887 -13 -24
228 gluon_resnet34_v1b efficientnet_es 35.747 37.850 64.253 62.150 52.290 54.893 47.710 45.107 21.80 5.44 224 0.875 bicubic -55.343 -55.160 -45.890 -43.847 +22 -20
229 mixnet_m efficientnet_b1 35.680 37.800 64.320 62.200 52.443 53.637 47.557 46.363 5.01 7.79 224 240 0.875 bicubic -56.580 -55.300 -45.927 -44.953 -8 -24
230 dla34 res2net50_26w_4s 35.647 37.780 64.353 62.220 52.813 53.120 47.187 46.880 15.74 25.70 224 0.875 bilinear -55.613 -55.430 -45.367 -45.510 +12 -31
231 efficientnet_lite0 resnest14d 35.643 37.763 64.357 62.237 53.697 56.503 46.303 43.497 4.65 10.61 224 0.875 bicubic bilinear -55.617 -53.407 -44.553 -41.797 +12 +45
232 ssl_resnet18 gluon_resnet50_v1c 35.637 37.717 64.363 62.283 53.817 54.100 46.183 45.900 11.69 25.58 224 0.875 bilinear bicubic -55.063 -55.273 -44.213 -44.540 +22 -19
233 mobilenetv3_rw ecaresnet26t 35.617 37.663 64.383 62.337 53.740 54.447 46.260 45.553 5.48 16.01 224 320 0.875 0.950 bicubic -55.943 -56.257 -44.530 -44.493 +1 -92
234 tf_efficientnet_es tv_resnext50_32x4d 35.593 37.623 64.407 62.377 52.930 54.100 47.070 45.900 5.44 25.03 224 0.875 bicubic bilinear -56.947 -55.317 -45.580 -44.620 -21 -14
235 mobilenetv2_110d res2next50 35.287 37.523 64.713 62.477 52.820 52.810 47.180 47.190 4.52 24.67 224 0.875 bicubic bilinear -56.043 -55.657 -45.370 -45.860 +5 -34
236 hrnet_w18_small_v2 resnet34 35.217 37.410 64.783 62.590 52.527 54.327 47.473 45.673 15.60 21.80 224 0.875 bilinear -55.953 -53.920 -45.833 -43.833 +12 +34
237 tf_mixnet_m res2net50_48w_2s 35.210 37.247 64.790 62.753 50.977 53.293 49.023 46.707 5.01 25.29 224 0.875 bicubic bilinear -56.960 -55.423 -47.443 -45.167 -13 -6
238 resnet18d regnety_016 35.120 37.157 64.880 62.843 52.880 54.107 47.120 45.893 11.71 11.20 224 0.875 bicubic -54.880 -55.913 -44.960 -44.633 +21 -31
239 regnety_008 rexnet_100 34.883 37.063 65.117 62.937 51.857 54.073 48.143 45.927 6.26 4.80 224 0.875 bicubic -57.007 -55.697 -46.563 -44.557 -10 -14
240 ese_vovnet19b_dw tf_mixnet_l 34.837 37.040 65.163 62.960 51.990 52.543 48.010 47.457 6.54 7.33 224 0.875 bicubic -57.183 -55.970 -46.530 -45.997 -13 -31
241 mobilenetv3_large_100 dla60 34.577 37.027 65.423 62.973 52.913 54.283 47.087 45.717 5.48 22.04 224 0.875 bicubic bilinear -56.903 -55.683 -45.417 -44.367 -6 -12
242 seresnext26tn_32x4d mobilenetv2_120d 34.567 36.790 65.433 63.210 51.470 53.987 48.530 46.013 16.81 5.83 224 0.875 bicubic -58.203 -55.980 -47.080 -44.493 -43 -18
243 seresnext26d_32x4d legacy_seresnet50 34.513 36.787 65.487 63.213 51.563 53.363 48.437 46.637 16.81 28.09 224 0.875 bicubic bilinear -57.927 -56.033 -46.977 -45.287 -27 -20
244 resnet26d tv_densenet121 34.330 36.763 65.670 63.237 51.843 54.057 48.157 45.943 16.01 7.98 224 0.875 bicubic -57.900 -54.667 -46.627 -44.223 -21 +22
245 fbnetc_100 tf_efficientnet_lite1 34.323 36.750 65.677 63.250 51.240 53.487 48.760 46.513 5.57 5.42 224 240 0.875 0.882 bilinear bicubic -56.937 -55.580 -46.580 -45.023 -1 0
246 regnety_006 regnetx_016 34.233 36.707 65.767 63.293 51.300 53.350 48.700 46.650 6.06 9.19 224 0.875 bicubic -57.357 -55.913 -47.130 -45.180 -13
247 seresnext26t_32x4d tf_efficientnet_lite2 34.197 36.700 65.803 63.300 51.420 53.277 48.580 46.723 16.82 6.09 224 260 0.875 0.890 bicubic -58.783 -55.890 -47.060 -45.293 -61 -11
248 tf_mobilenetv3_large_100 efficientnet_b0 33.990 36.487 66.010 63.513 51.530 53.487 48.470 46.513 5.48 5.29 224 0.875 bilinear bicubic -57.420 -56.063 -46.720 -45.153 -10
249 mnasnet_100 tf_efficientnet_em 33.850 36.343 66.150 63.657 51.247 52.767 48.753 47.233 4.38 6.90 224 240 0.875 0.882 bicubic -57.350 -56.817 -46.793 -45.903 -3 -47
250 regnetx_008 skresnet18 33.720 36.210 66.280 63.790 50.587 54.160 49.413 45.840 7.26 11.96 224 0.875 bicubic -57.490 -53.970 -47.783 -43.700 -5 +40
251 resnet26 repvgg_b0 33.583 36.197 66.417 63.803 51.017 53.873 48.983 46.127 16.00 15.82 224 0.875 bicubic bilinear -57.867 -55.403 -47.263 -44.577 -14 +10
252 mixnet_s legacy_seresnet34 33.577 36.193 66.423 63.807 51.033 52.517 48.967 47.483 4.13 21.96 224 0.875 bicubic bilinear -58.203 -55.337 -47.267 -45.803 -22 +12
253 semnasnet_100 tv_resnet50 33.553 36.110 66.447 63.890 50.843 52.737 49.157 47.263 3.89 25.56 224 0.875 bicubic bilinear -58.107 -56.070 -47.417 -45.683 -21 -2
254 spnasnet_100 vit_deit_tiny_distilled_patch16_224 33.507 36.027 66.493 63.973 51.310 54.237 48.690 45.763 4.42 5.91 224 0.875 0.900 bilinear bicubic -57.113 -55.093 -46.640 -44.073 +1 +26
255 regnetx_006 tv_resnet34 33.213 36.023 66.787 63.977 50.297 53.493 49.703 46.507 6.20 21.80 224 0.875 bicubic bilinear -57.537 -54.367 -47.803 -44.437 -2 +33
256 resnet18 mobilenetv2_140 33.043 35.997 66.957 64.003 51.133 53.997 48.867 46.003 11.69 6.11 224 0.875 bilinear bicubic -55.127 -56.113 -45.987 -44.253 +11 -4
257 legacy_seresnext26_32x4d tf_efficientnet_lite0 32.747 35.993 67.253 64.007 49.207 53.410 50.793 46.590 16.79 4.65 224 0.875 bicubic -59.833 -55.287 -49.223 -44.650 -49 +15
258 hrnet_w18_small selecsls42b 32.723 35.790 67.277 64.210 50.677 52.427 49.323 47.573 13.19 32.46 224 0.875 bilinear bicubic -57.177 -56.680 -47.223 -46.083 +2 -17
259 legacy_seresnet18 gluon_resnet34_v1b 32.633 35.730 67.367 64.270 50.360 52.170 49.640 47.830 11.78 21.80 224 0.875 bicubic -56.627 -55.290 -47.330 -45.970 +4 +23
260 mobilenetv2_100 efficientnet_lite0 32.580 35.643 67.420 64.357 50.860 53.657 49.140 46.343 3.50 4.65 224 0.875 bicubic -57.260 -55.577 -46.980 -44.533 +1 +14
261 regnetx_004 ssl_resnet18 32.567 35.637 67.433 64.363 49.407 53.873 50.593 46.127 5.16 11.69 224 0.875 bicubic bilinear -56.883 -55.203 -48.373 -44.147 +1 +23
262 regnety_004 mobilenetv3_rw 32.403 35.580 67.597 64.420 49.503 53.667 50.497 46.333 4.34 5.48 224 0.875 bicubic -58.357 -55.970 -48.577 -44.673 -10 +1
263 gluon_resnet18_v1b mixnet_m 32.397 35.570 67.603 64.430 49.707 52.423 50.293 47.577 11.69 5.01 224 0.875 bicubic -56.273 -56.640 -47.403 -45.937 +2 -14
264 tf_mixnet_s dla34 32.230 35.567 67.770 64.433 48.607 52.770 51.393 47.230 4.13 15.74 224 0.875 bicubic bilinear -59.460 -55.663 -49.633 -45.370 -33 +9
265 tf_mobilenetv3_large_075 mobilenetv2_110d 31.947 35.337 68.053 64.663 49.137 52.850 50.863 47.150 3.99 4.52 224 0.875 bilinear bicubic -58.363 -55.763 -48.743 -45.290 -9 +16
266 tf_mobilenetv3_large_minimal_100 tf_mixnet_m 31.613 35.163 68.387 64.837 49.407 51.053 50.593 48.947 3.92 5.01 224 0.875 bilinear bicubic -57.547 -57.107 -47.913 -47.437 -2 -19
267 regnety_002 hrnet_w18_small_v2 29.690 35.163 70.310 64.837 46.883 52.423 53.117 47.577 3.16 15.60 224 0.875 bicubic bilinear -58.530 -56.127 -50.547 -45.977 -1 +5
268 regnetx_002 resnet18d 28.883 34.993 71.117 65.007 45.583 52.877 54.417 47.123 2.68 11.71 224 0.875 bicubic -58.487 -54.867 -51.407 -45.023 0 +24
269 dla60x_c ese_vovnet19b_dw 28.527 34.870 71.473 65.130 46.257 52.063 53.743 47.937 1.32 6.54 224 0.875 bilinear bicubic -58.553 -57.220 -50.883 -46.447 0 -15
270 tf_mobilenetv3_small_100 regnety_008 27.347 34.700 72.653 65.300 44.490 51.767 55.510 48.233 2.54 6.26 224 0.875 bilinear bicubic -58.633 -57.110 -51.910 -46.643 0 -13
271 dla46x_c seresnext26d_32x4d 26.277 34.590 73.723 65.410 43.903 51.547 56.097 48.453 1.07 16.81 224 0.875 bilinear bicubic -59.193 -57.850 -52.547 -47.003 0 -29
272 tf_mobilenetv3_small_075 mobilenetv3_large_100 26.273 34.573 73.727 65.427 43.713 52.797 56.287 47.203 2.04 5.48 224 0.875 bilinear bicubic -58.257 -56.917 -52.167 -45.513 +1 -7
273 dla46_c seresnext26t_32x4d 25.490 34.493 74.510 65.507 43.953 51.317 56.047 48.683 1.30 16.81 224 0.875 bilinear bicubic -59.220 -58.247 -52.257 -47.203 -1 -46
274 tf_mobilenetv3_small_minimal_100 resnet26d 25.110 34.313 74.890 65.687 42.987 51.677 57.013 48.323 2.04 16.01 224 0.875 bilinear bicubic -57.560 -57.787 -52.013 -46.783 0 -21
275 pnasnet5large tf_efficientnet_es 6.983 34.247 93.017 65.753 19.613 51.357 80.387 48.643 86.06 5.44 331 224 0.911 0.875 bicubic -10.887 -57.833 -22.507 -47.103 0 -20
276 ens_adv_inception_resnet_v2 regnety_006 6.550 34.243 93.450 65.757 18.623 51.323 81.377 48.677 55.85 6.06 299 224 0.897 0.875 bicubic -9.690 -57.327 -21.767 -47.067 +2 -14
277 inception_resnet_v2 fbnetc_100 6.313 34.220 93.687 65.780 18.147 51.183 81.853 48.817 55.85 5.57 299 224 0.897 0.875 bicubic bilinear -10.477 -56.920 -20.703 -46.687 -1 0
278 inception_v4 tf_mobilenetv3_large_100 5.923 33.993 94.077 66.007 16.657 51.397 83.343 48.603 42.68 5.48 299 224 0.875 bicubic bilinear -10.617 -57.417 -20.723 -46.893 -1 -11
279 regnetx_008 33.750 66.250 50.490 49.510 7.26 224 0.875 bicubic -57.590 -47.860 -10
280 mnasnet_100 33.677 66.323 51.113 48.887 4.38 224 0.875 bicubic -57.533 -46.917 -5
281 semnasnet_100 33.567 66.433 50.670 49.330 3.89 224 0.875 bicubic -58.053 -47.640 -21
282 spnasnet_100 33.517 66.483 51.297 48.703 4.42 224 0.875 bilinear -57.123 -46.623 +4
283 mixnet_s 33.503 66.497 51.047 48.953 4.13 224 0.875 bicubic -58.297 -47.283 -25
284 resnet26 33.477 66.523 50.923 49.077 16.00 224 0.875 bicubic -57.913 -47.437 -16
285 vgg19_bn 33.187 66.813 50.840 49.160 143.68 224 0.875 bilinear -57.933 -47.320 -6
286 regnetx_006 33.173 66.827 50.267 49.733 6.20 224 0.875 bicubic -57.747 -47.803 -3
287 resnet18 33.103 66.897 51.120 48.880 11.69 224 0.875 bilinear -54.947 -45.990 +17
288 legacy_seresnext26_32x4d 32.823 67.177 49.200 50.800 16.79 224 0.875 bicubic -59.707 -49.250 -49
289 vit_deit_tiny_patch16_224 32.757 67.243 50.273 49.727 5.72 224 0.900 bicubic -56.873 -47.657 +6
290 hrnet_w18_small 32.677 67.323 50.637 49.363 13.19 224 0.875 bilinear -56.963 -47.203 +4
291 legacy_seresnet18 32.660 67.340 50.277 49.723 11.78 224 0.875 bicubic -56.630 -47.513 +7
292 gluon_resnet18_v1b 32.477 67.523 49.817 50.183 11.69 224 0.875 bicubic -56.293 -47.263 +9
293 mobilenetv2_100 32.473 67.527 50.823 49.177 3.50 224 0.875 bicubic -57.417 -47.027 -2
294 regnetx_004 32.457 67.543 49.383 50.617 5.16 224 0.875 bicubic -57.153 -48.397 +2
295 regnety_004 32.370 67.630 49.390 50.610 4.34 224 0.875 bicubic -58.380 -48.680 -10
296 tf_mixnet_s 32.143 67.857 48.447 51.553 4.13 224 0.875 bicubic -59.517 -49.713 -37
297 tf_mobilenetv3_large_075 31.803 68.197 49.040 50.960 3.99 224 0.875 bilinear -58.557 -48.800 -8
298 tf_mobilenetv3_large_minimal_100 31.653 68.347 49.397 50.603 3.92 224 0.875 bilinear -57.637 -47.983 +1
299 vgg16_bn 30.383 69.617 47.363 52.637 138.37 224 0.875 bilinear -60.237 -50.687 -12
300 regnety_002 29.733 70.267 46.833 53.167 3.16 224 0.875 bicubic -58.447 -50.597 +3
301 vgg13_bn 28.860 71.140 46.617 53.383 133.05 224 0.875 bilinear -60.340 -51.023 -1
302 regnetx_002 28.843 71.157 45.480 54.520 2.68 224 0.875 bicubic -58.367 -51.420 +5
303 vgg19 28.490 71.510 45.117 54.883 143.67 224 0.875 bilinear -61.200 -52.463 -10
304 vgg11_bn 28.443 71.557 46.400 53.600 132.87 224 0.875 bilinear -59.867 -50.890 -2
305 dla60x_c 28.297 71.703 46.123 53.877 1.32 224 0.875 bilinear -58.893 -50.967 +3
306 vgg16 27.870 72.130 44.650 55.350 138.36 224 0.875 bilinear -61.620 -52.880 -9
307 tf_mobilenetv3_small_100 27.293 72.707 44.540 55.460 2.54 224 0.875 bilinear -58.577 -51.770 +2
308 vgg11 26.487 73.513 43.400 56.600 132.86 224 0.875 bilinear -60.883 -53.610 -2
309 vgg13 26.307 73.693 43.460 56.540 133.05 224 0.875 bilinear -61.253 -53.700 -4
310 tf_mobilenetv3_small_075 26.217 73.783 43.683 56.317 2.04 224 0.875 bilinear -58.553 -52.197 +1
311 dla46x_c 26.193 73.807 43.830 56.170 1.07 224 0.875 bilinear -59.497 -52.630 -1
312 dla46_c 25.437 74.563 43.840 56.160 1.30 224 0.875 bilinear -59.253 -52.380 0
313 tf_mobilenetv3_small_minimal_100 25.123 74.877 42.900 57.100 2.04 224 0.875 bilinear -57.647 -52.180 0

589
results/results-imagenet-real.csv
Unescape View File

@ -1,278 +1,313 @@
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,90.572,9.428,98.779,1.221,480.31,800,0.960,bicubic,+6.208,+1.739,-2 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_475,90.525,9.475,98.706,1.294,480.31,475,0.936,bicubic,+6.785,+1.936,-2 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_b7_ns,90.134,9.866,98.617,1.383,66.35,600,0.949,bicubic,+1.784,-0.040,-2 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_b6_ns,89.767,10.233,98.503,1.497,43.04,528,0.942,bicubic,+1.527,-0.047,-2 dm_nfnet_f6,89.891,10.110,98.529,1.471,438.36,576,0.956,bicubic,+3.585,+0.787,+1
tf_efficientnet_b5_ns,89.658,10.342,98.488,1.512,30.39,456,0.934,bicubic,+2.830,+0.404,-2 tf_efficientnet_b6_ns,89.792,10.208,98.503,1.497,43.04,528,0.942,bicubic,+3.330,+0.625,-1
tf_efficientnet_b8_ap,89.589,10.411,98.300,1.700,87.41,672,0.954,bicubic,+3.511,+0.548,-1 tf_efficientnet_b5_ns,89.668,10.332,98.488,1.512,30.39,456,0.934,bicubic,+3.596,+0.740,0
tf_efficientnet_b7_ap,89.419,10.581,98.343,1.657,66.35,600,0.949,bicubic,+4.253,+0.981,+2 tf_efficientnet_b8_ap,89.585,10.415,98.320,1.680,87.41,672,0.954,bicubic,+4.201,+1.022,+6
tf_efficientnet_b8,89.340,10.660,98.305,1.695,87.41,672,0.954,bicubic,+3.916,+0.727,-2 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_ap,89.338,10.662,98.281,1.719,43.04,528,0.942,bicubic,+4.390,+0.831,+5 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_b4_ns,89.325,10.675,98.352,1.648,19.34,380,0.922,bicubic,+3.975,+0.962,-2 dm_nfnet_f3,89.387,10.613,98.328,1.672,254.92,416,0.940,bicubic,+3.805,+0.938,-1
ig_resnext101_32x32d,89.115,10.885,98.181,1.819,468.53,224,0.875,bilinear,+3.965,+0.711,-1 dm_nfnet_f4,89.359,10.641,98.232,1.768,316.07,512,0.951,bicubic,+3.633,+0.714,-4
ig_resnext101_32x48d,89.111,10.889,98.125,1.875,828.41,224,0.875,bilinear,+2.663,+0.245,-8 tf_efficientnet_b8,89.352,10.648,98.307,1.693,87.41,672,0.954,bicubic,+3.968,+0.907,0
tf_efficientnet_b7,89.088,10.912,98.179,1.821,66.35,600,0.949,bicubic,+4.102,+0.883,0 tf_efficientnet_b6_ap,89.342,10.658,98.283,1.717,43.04,528,0.942,bicubic,+4.552,+1.147,+10
tf_efficientnet_b5_ap,88.934,11.066,98.168,1.832,30.39,456,0.934,bicubic,+4.664,+0.998,+6 tf_efficientnet_b4_ns,89.333,10.667,98.350,1.650,19.34,380,0.922,bicubic,+4.139,+0.850,0
ig_resnext101_32x16d,88.817,11.184,98.049,1.951,194.03,224,0.875,bilinear,+4.614,+0.831,+7 dm_nfnet_f5,89.188,10.812,98.241,1.759,377.21,544,0.954,bicubic,+3.468,+0.805,-7
vit_base_resnet50_384,88.804,11.196,98.241,1.759,98.95,384,1.000,bicubic,+3.684,+0.991,-5 ig_resnext101_32x48d,89.160,10.840,98.108,1.892,828.41,224,0.875,bilinear,+3.658,+0.560,-6
seresnet152d_320,88.797,11.203,98.172,1.828,66.84,320,1.000,bicubic,+4.393,+0.738,+19 ig_resnext101_32x32d,89.143,10.857,98.187,1.813,468.53,224,0.875,bilinear,+3.997,+0.731,-1
tf_efficientnet_b6,88.759,11.241,98.066,1.934,43.04,528,0.942,bicubic,+4.595,+0.872,+6 tf_efficientnet_b7,89.083,10.917,98.185,1.815,66.35,600,0.949,bicubic,+4.147,+0.977,+2
swsl_resnext101_32x8d,88.748,11.252,98.138,1.862,88.79,224,0.875,bilinear,+4.366,+0.772,+1 ecaresnet269d,89.056,10.944,98.241,1.759,102.09,352,1.000,bicubic,+4.130,+1.005,+2
resnetv2_152x2_bitm,88.656,11.344,98.320,1.680,236.34,480,1.000,bilinear,+3.870,+1.182,-3 tf_efficientnet_b5_ap,88.940,11.060,98.160,1.840,30.39,456,0.934,bicubic,+4.680,+1.186,+10
resnetv2_152x4_bitm,88.556,11.444,98.185,1.815,936.53,480,1.000,bilinear,+3.466,+0.745,-8 dm_nfnet_f2,88.874,11.126,98.100,1.900,193.78,352,0.920,bicubic,+3.906,+0.976,-2
resnet200d_320,88.528,11.472,97.957,2.043,64.69,320,1.000,bicubic,+4.484,+1.047,+4 dm_nfnet_f1,88.864,11.136,98.104,1.896,132.63,320,0.910,bicubic,+4.270,+1.024,+2
resnest269e,88.526,11.474,98.021,1.979,110.93,416,0.928,bicubic,+3.592,+0.817,-7 ig_resnext101_32x16d,88.851,11.149,98.064,1.937,194.03,224,0.875,bilinear,+4.683,+0.868,+9
resnetv2_101x3_bitm,88.443,11.557,98.164,1.836,387.93,480,1.000,bilinear,+3.917,+1.178,-6 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_b3_ns,88.439,11.561,98.031,1.968,12.23,300,0.904,bicubic,+4.325,+1.144,0 swsl_resnext101_32x8d,88.802,11.198,98.125,1.875,88.79,224,0.875,bilinear,+4.470,+0.971,+4
resnest200e,88.421,11.579,98.049,1.951,70.20,320,0.909,bicubic,+4.454,+1.231,+1 seresnet152d,88.799,11.200,98.170,1.830,66.84,320,1.000,bicubic,+4.450,+1.128,+2
vit_large_patch16_384,88.407,11.593,98.187,1.813,304.72,384,1.000,bicubic,+3.033,+0.889,-19 tf_efficientnet_b6,88.755,11.245,98.076,1.924,43.04,528,0.942,bicubic,+4.633,+1.186,+6
vit_base_patch16_384,88.385,11.615,98.149,1.851,86.86,384,1.000,bicubic,+4.131,+1.175,-6 resnetv2_152x2_bitm,88.678,11.322,98.341,1.659,236.34,480,1.000,bilinear,+4.250,+0.889,-2
seresnet152d,88.379,11.621,98.036,1.964,66.84,256,0.940,bicubic,+4.627,+0.916,+29 resnetv2_152x4_bitm,88.582,11.418,98.192,1.808,936.53,480,1.000,bilinear,+3.666,+0.748,-7
tf_efficientnet_b4_ap,88.349,11.651,97.891,2.109,19.34,380,0.922,bicubic,+5.093,+1.497,+4 resnet200d,88.573,11.427,97.976,2.024,64.69,320,1.000,bicubic,+4.573,+1.152,+5
resnet152d_320,88.347,11.653,97.929,2.071,60.21,320,1.000,bicubic,+4.681,+1.195,+1 resnest269e,88.528,11.472,98.021,1.979,110.93,416,0.928,bicubic,+4.010,+1.019,-6
tf_efficientnet_b5,88.313,11.687,97.914,2.086,30.39,456,0.934,bicubic,+4.461,+1.024,-3 resnetv2_101x3_bitm,88.479,11.521,98.149,1.851,387.93,480,1.000,bilinear,+4.087,+0.791,-5
resnetv2_50x3_bitm,88.308,11.692,98.113,1.887,217.32,480,1.000,bilinear,+4.500,+1.367,-3 tf_efficientnet_b3_ns,88.439,11.561,98.066,1.934,12.23,300,0.904,bicubic,+4.427,+1.156,+1
ig_resnext101_32x8d,88.150,11.850,97.861,2.139,88.79,224,0.875,bilinear,+5.454,+1.217,+9 resnest200e,88.428,11.572,98.023,1.977,70.20,320,0.909,bicubic,+4.588,+1.165,+2
swsl_resnext101_32x4d,88.086,11.914,97.974,2.026,44.18,224,0.875,bilinear,+4.864,+1.206,+1 vit_large_patch16_384,88.428,11.572,98.211,1.789,304.72,384,1.000,bicubic,+3.258,+0.867,-20
resnet152d,87.986,12.014,97.709,2.291,60.21,256,0.940,bicubic,+4.852,+1.359,+1 vit_base_patch16_384,88.383,11.617,98.160,1.840,86.86,384,1.000,bicubic,+4.171,+0.944,-5
tf_efficientnet_b4,87.960,12.040,97.737,2.263,19.34,380,0.922,bicubic,+4.934,+1.439,+3 resnet152d,88.358,11.643,97.923,2.077,60.21,320,1.000,bicubic,+4.694,+1.197,+2
resnet101d_320,87.948,12.052,97.903,2.097,44.57,320,1.000,bicubic,+4.924,+1.447,+3 resnetv2_50x3_bitm,88.340,11.660,98.117,1.883,217.32,480,1.000,bilinear,+4.540,+1.007,0
resnet200d,87.943,12.057,97.773,2.227,64.69,256,0.940,bicubic,+4.701,+1.285,-4 tf_efficientnet_b4_ap,88.319,11.681,97.908,2.092,19.34,380,0.922,bicubic,+5.095,+1.542,+5
tresnet_xl_448,87.794,12.206,97.468,2.532,78.44,448,0.875,bilinear,+4.738,+1.282,-1 tf_efficientnet_b5,88.306,11.694,97.908,2.092,30.39,456,0.934,bicubic,+4.486,+1.148,-3
resnetv2_101x1_bitm,87.634,12.366,97.953,2.047,44.54,480,1.000,bilinear,+5.420,+1.480,+8 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
swsl_resnext101_32x16d,87.602,12.398,97.820,2.180,194.03,224,0.875,bilinear,+4.258,+0.980,-9 ig_resnext101_32x8d,88.106,11.894,97.848,2.152,88.79,224,0.875,bilinear,+5.446,+1.164,+10
swsl_resnext50_32x4d,87.597,12.403,97.651,2.349,25.03,224,0.875,bilinear,+5.425,+1.419,+8 dm_nfnet_f0,88.103,11.897,97.831,2.169,71.49,256,0.900,bicubic,+4.733,+1.273,-1
tf_efficientnet_b2_ns,87.561,12.439,97.626,2.374,9.11,260,0.890,bicubic,+5.169,+1.388,+1 swsl_resnext101_32x4d,88.054,11.946,97.920,2.080,44.18,224,0.875,bilinear,+4.802,+1.152,-1
efficientnet_b3a,87.452,12.548,97.679,2.321,12.23,320,1.000,bicubic,+5.198,+1.565,+3 tf_efficientnet_b4,87.950,12.050,97.722,2.278,19.34,380,0.922,bicubic,+4.976,+1.430,+4
resnet101d,87.386,12.614,97.572,2.428,44.57,256,0.940,bicubic,+5.076,+1.508,0 resnet101d,87.922,12.078,97.893,2.107,44.57,320,1.000,bicubic,+4.922,+1.433,+2
tresnet_l_448,87.373,12.627,97.485,2.515,55.99,448,0.875,bilinear,+5.113,+1.507,0 vit_deit_base_patch16_384,87.860,12.140,97.498,2.502,86.86,384,1.000,bicubic,+4.768,+1.146,-2
nasnetalarge,87.350,12.650,97.412,2.588,88.75,331,0.911,bicubic,+4.724,+1.362,-4 tresnet_xl_448,87.796,12.204,97.463,2.537,78.44,448,0.875,bilinear,+4.754,+1.281,-1
efficientnet_b3,87.328,12.672,97.605,2.396,12.23,300,0.904,bicubic,+5.246,+1.578,+3 swsl_resnext101_32x16d,87.683,12.317,97.861,2.139,194.03,224,0.875,bilinear,+4.219,+0.995,-9
ecaresnet101d,87.286,12.714,97.562,2.438,44.57,224,0.875,bicubic,+5.110,+1.506,0 resnetv2_101x1_bitm,87.647,12.354,97.950,2.050,44.54,480,1.000,bilinear,+5.439,+1.490,+8
resnest101e,87.262,12.738,97.558,2.442,48.28,256,0.875,bilinear,+4.384,+1.244,-9 pnasnet5large,87.615,12.386,97.502,2.498,86.06,331,0.911,bicubic,+4.829,+1.426,0
regnety_032,87.254,12.746,97.521,2.479,19.44,224,0.875,bicubic,+5.246,+1.609,+2 ecaresnet50t,87.578,12.422,97.666,2.334,25.57,320,0.950,bicubic,+5.230,+1.522,+3
tresnet_xl,87.224,12.776,97.400,2.600,78.44,224,0.875,bilinear,+5.170,+1.468,0 swsl_resnext50_32x4d,87.563,12.437,97.615,2.385,25.03,224,0.875,bilinear,+5.377,+1.351,+6
tf_efficientnet_b3_ap,87.196,12.804,97.382,2.618,12.23,300,0.904,bicubic,+5.374,+1.762,+2 tf_efficientnet_b2_ns,87.535,12.464,97.639,2.361,9.11,260,0.890,bicubic,+5.169,+1.379,0
vit_base_patch32_384,87.014,12.986,97.656,2.344,88.30,384,1.000,bicubic,+5.358,+1.526,+4 efficientnet_b3a,87.431,12.569,97.681,2.319,12.23,320,1.000,bicubic,+5.199,+1.555,+2
vit_large_patch16_224,86.993,13.007,97.692,2.308,304.33,224,0.900,bicubic,+3.933,+1.248,-18 tresnet_l_448,87.403,12.597,97.481,2.519,55.99,448,0.875,bilinear,+5.113,+1.503,0
rexnet_200,86.854,13.146,97.282,2.718,16.37,224,0.875,bicubic,+5.228,+1.610,+4 nasnetalarge,87.350,12.650,97.436,2.564,88.75,331,0.911,bicubic,+4.710,+1.384,-4
ssl_resnext101_32x16d,86.844,13.156,97.519,2.481,194.03,224,0.875,bilinear,+5.006,+1.427,-3 efficientnet_b3,87.290,12.710,97.590,2.410,12.23,300,0.904,bicubic,+5.258,+1.553,+4
tf_efficientnet_b3,86.842,13.158,97.293,2.707,12.23,300,0.904,bicubic,+5.196,+1.571,+1 tresnet_xl,87.266,12.733,97.412,2.588,78.44,224,0.875,bilinear,+5.100,+1.478,+1
tresnet_m_448,86.816,13.184,97.205,2.795,31.39,448,0.875,bilinear,+5.098,+1.639,-2 resnest101e,87.264,12.736,97.540,2.460,48.28,256,0.875,bilinear,+4.440,+1.230,-10
ssl_resnext101_32x8d,86.803,13.197,97.466,2.534,88.79,224,0.875,bilinear,+5.197,+1.422,+1 regnety_032,87.249,12.751,97.540,2.460,19.44,224,0.875,bicubic,+5.233,+1.608,+2
tf_efficientnet_lite4,86.801,13.199,97.254,2.746,13.01,380,0.920,bilinear,+5.265,+1.594,+1 tf_efficientnet_b3_ap,87.177,12.823,97.410,2.590,12.23,300,0.904,bicubic,+5.375,+1.810,+4
swsl_resnet50,86.790,13.210,97.493,2.507,25.56,224,0.875,bilinear,+5.654,+1.519,+7 ecaresnet101d,87.175,12.825,97.590,2.410,44.57,224,0.875,bicubic,+5.057,+1.549,-2
vit_base_patch16_224,86.758,13.242,97.440,2.560,86.57,224,0.900,bicubic,+4.974,+1.314,-7 vit_base_patch32_384,87.012,12.988,97.660,2.340,88.30,384,1.000,bicubic,+5.348,+1.532,+6
tresnet_l,86.754,13.246,97.271,2.729,55.99,224,0.875,bilinear,+5.268,+1.651,-1 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
seresnext50_32x4d,86.709,13.291,97.203,2.797,27.56,224,0.875,bicubic,+5.435,+1.585,+2 vit_large_patch16_224,86.993,13.007,97.679,2.321,304.33,224,0.900,bicubic,+3.933,+1.255,-20
tf_efficientnet_b1_ns,86.684,13.316,97.380,2.620,7.79,240,0.882,bicubic,+5.298,+1.640,-1 rexnet_200,86.861,13.139,97.244,2.756,16.37,224,0.875,bicubic,+5.173,+1.554,+2
wide_resnet50_2,86.649,13.351,97.212,2.788,68.88,224,0.875,bicubic,+5.197,+1.690,-3 tf_efficientnet_lite4,86.852,13.148,97.244,2.756,13.01,380,0.920,bilinear,+5.336,+1.620,+5
resnest50d_4s2x40d,86.585,13.415,97.269,2.731,30.42,224,0.875,bicubic,+5.471,+1.715,+1 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_pruned,86.585,13.415,97.186,2.814,9.86,300,0.904,bicubic,+5.727,+1.946,+9 swsl_resnet50,86.825,13.175,97.528,2.472,25.56,224,0.875,bilinear,+5.701,+1.540,+14
ecaresnet50d,86.477,13.524,97.186,2.814,25.58,224,0.875,bicubic,+5.863,+1.878,+12 tf_efficientnet_b3,86.818,13.182,97.305,2.695,12.23,300,0.904,bicubic,+5.192,+1.599,0
ssl_resnext101_32x4d,86.474,13.526,97.468,2.532,44.18,224,0.875,bilinear,+5.560,+1.734,+3 tresnet_m_448,86.807,13.193,97.199,2.801,31.39,448,0.875,bilinear,+5.115,+1.639,-4
gluon_resnet152_v1s,86.449,13.551,97.120,2.880,60.32,224,0.875,bicubic,+5.431,+1.700,-1 ssl_resnext101_32x8d,86.803,13.197,97.427,2.573,88.79,224,0.875,bilinear,+5.203,+1.405,-1
resnest50d_1s4x24d,86.442,13.558,97.150,2.850,25.68,224,0.875,bicubic,+5.438,+1.824,-1 vit_base_patch16_224,86.790,13.210,97.423,2.577,86.57,224,0.900,bicubic,+5.010,+1.311,-7
legacy_senet154,86.338,13.662,96.928,3.072,115.09,224,0.875,bilinear,+5.012,+1.420,-8 ssl_resnext101_32x16d,86.775,13.225,97.538,2.462,194.03,224,0.875,bilinear,+4.929,+1.406,-10
efficientnet_b2a,86.310,13.690,96.990,3.010,9.11,288,1.000,bicubic,+5.696,+1.672,+8 tresnet_l,86.763,13.237,97.229,2.771,55.99,224,0.875,bilinear,+5.273,+1.645,-1
gluon_senet154,86.280,13.720,96.938,3.062,115.09,224,0.875,bicubic,+5.052,+1.586,-8 seresnext50_32x4d,86.699,13.301,97.246,2.754,27.56,224,0.875,bicubic,+5.429,+1.590,+3
resnest50d,86.229,13.771,97.069,2.931,27.48,224,0.875,bilinear,+5.271,+1.691,-4 tf_efficientnet_b1_ns,86.666,13.334,97.361,2.639,7.79,240,0.882,bicubic,+5.269,+1.631,-2
tresnet_m,86.190,13.810,96.667,3.333,31.39,224,0.875,bilinear,+5.386,+1.809,+1 repvgg_b3,86.628,13.372,97.135,2.865,123.09,224,0.875,bilinear,+6.188,+1.941,+25
ecaresnet101d_pruned,86.182,13.818,97.342,2.658,24.88,224,0.875,bicubic,+5.366,+1.704,-1 resnest50d_4s2x40d,86.615,13.385,97.288,2.712,30.42,224,0.875,bicubic,+5.467,+1.736,+3
rexnet_150,86.163,13.837,97.066,2.934,9.73,224,0.875,bicubic,+5.853,+1.904,+13 gernet_l,86.611,13.389,97.162,2.837,31.08,256,0.875,bilinear,+5.267,+1.622,-4
resnetv2_50x1_bitm,86.154,13.846,97.558,2.442,25.55,480,1.000,bilinear,+5.962,+1.928,+20 nf_resnet50,86.594,13.406,97.291,2.709,25.56,288,0.940,bicubic,+5.928,+1.933,+14
tf_efficientnet_el,86.152,13.848,96.985,3.015,10.59,300,0.904,bicubic,+5.704,+1.815,+6 efficientnet_b3_pruned,86.592,13.408,97.177,2.823,9.86,300,0.904,bicubic,+5.772,+1.953,+9
cspdarknet53,86.150,13.850,97.013,2.987,27.64,256,0.887,bilinear,+6.102,+1.921,+22 ssl_resnext101_32x4d,86.562,13.438,97.447,2.554,44.18,224,0.875,bilinear,+5.538,+1.698,+1
ssl_resnext50_32x4d,86.082,13.918,97.212,2.788,25.03,224,0.875,bilinear,+5.780,+1.800,+10 wide_resnet50_2,86.521,13.479,97.216,2.784,68.88,224,0.875,bicubic,+5.215,+1.628,-6
ecaresnetlight,86.043,13.957,97.073,2.927,30.16,224,0.875,bicubic,+5.585,+1.823,+2 resnest50d_1s4x24d,86.491,13.509,97.109,2.891,25.68,224,0.875,bicubic,+5.553,+1.791,+2
efficientnet_b2,86.041,13.959,96.923,3.077,9.11,260,0.875,bicubic,+5.663,+1.845,+4 gluon_resnet152_v1s,86.464,13.536,97.120,2.880,60.32,224,0.875,bicubic,+5.444,+1.694,-1
gluon_resnet101_v1s,86.037,13.963,97.024,2.976,44.67,224,0.875,bicubic,+5.751,+1.864,+9 ecaresnet50d,86.438,13.562,97.214,2.786,25.58,224,0.875,bicubic,+5.824,+1.900,+10
gluon_seresnext101_32x4d,86.009,13.991,96.979,3.021,48.96,224,0.875,bicubic,+5.137,+1.687,-12 repvgg_b3g4,86.412,13.588,97.062,2.938,83.83,224,0.875,bilinear,+6.174,+1.994,+29
resnet50d,86.002,13.998,96.981,3.019,25.58,224,0.875,bicubic,+5.454,+1.823,-5 gernet_m,86.355,13.645,97.141,2.859,21.14,224,0.875,bilinear,+5.625,+1.929,+4
tf_efficientnet_b2_ap,85.975,14.025,96.808,3.192,9.11,260,0.890,bicubic,+5.673,+1.776,+5 legacy_senet154,86.336,13.664,96.970,3.030,115.09,224,0.875,bilinear,+5.014,+1.516,-13
gluon_seresnext101_64x4d,85.949,14.051,96.990,3.010,88.23,224,0.875,bicubic,+5.065,+1.676,-16 efficientnet_b2a,86.291,13.709,96.975,3.025,9.11,288,1.000,bicubic,+5.683,+1.677,+7
gluon_resnet152_v1d,85.906,14.094,96.806,3.194,60.21,224,0.875,bicubic,+5.428,+1.606,-7 ecaresnet101d_pruned,86.287,13.713,97.248,2.752,24.88,224,0.875,bicubic,+5.401,+1.676,-4
tf_efficientnet_b2,85.885,14.115,96.855,3.145,9.11,260,0.890,bicubic,+5.813,+1.951,+11 gluon_senet154,86.278,13.722,96.960,3.040,115.09,224,0.875,bicubic,+5.062,+1.640,-12
seresnet50,85.836,14.164,96.998,3.002,28.09,224,0.875,bicubic,+5.578,+1.932,+4 resnest50d,86.276,13.724,97.056,2.944,27.48,224,0.875,bilinear,+5.306,+1.706,-8
gluon_resnet101_v1d,85.832,14.168,96.663,3.337,44.57,224,0.875,bicubic,+5.430,+1.643,-6 cspdarknet53,86.180,13.820,96.990,3.010,27.64,256,0.887,bilinear,+6.130,+1.914,+28
resnet50,85.810,14.190,96.714,3.286,25.56,224,0.875,bicubic,+6.774,+2.322,+53 resnetv2_50x1_bitm,86.160,13.839,97.551,2.449,25.55,480,1.000,bilinear,+6.008,+1.907,+26
mixnet_xl,85.795,14.205,96.718,3.282,11.90,224,0.875,bicubic,+5.321,+1.784,-11 inception_v4,86.150,13.850,96.941,3.059,42.68,299,0.875,bicubic,+5.996,+1.978,+23
tf_efficientnet_lite3,85.766,14.235,96.891,3.109,8.20,300,0.904,bilinear,+5.939,+1.983,+17 rexnet_150,86.133,13.867,97.049,2.951,9.73,224,0.875,bicubic,+5.783,+1.847,+10
cspresnext50,85.757,14.243,96.840,3.160,20.57,224,0.875,bilinear,+5.711,+1.896,+7 inception_resnet_v2,86.129,13.871,97.030,2.970,55.84,299,0.897,bicubic,+5.681,+1.738,+3
ese_vovnet39b,85.748,14.252,96.900,3.100,24.57,224,0.875,bicubic,+6.436,+2.178,+33 tresnet_m,86.126,13.874,96.639,3.361,31.39,224,0.875,bilinear,+5.406,+1.783,-6
gluon_resnext101_32x4d,85.746,14.254,96.616,3.384,44.18,224,0.875,bicubic,+5.412,+1.708,-9 ssl_resnext50_32x4d,86.103,13.897,97.190,2.810,25.03,224,0.875,bilinear,+5.771,+1.808,+8
legacy_seresnext101_32x4d,85.738,14.262,96.765,3.235,48.96,224,0.875,bilinear,+5.510,+1.745,-2 tf_efficientnet_el,86.092,13.908,96.977,3.023,10.59,300,0.904,bicubic,+5.800,+1.857,+12
regnety_320,85.727,14.273,96.725,3.275,145.05,224,0.875,bicubic,+4.929,+1.479,-23 gluon_resnet101_v1s,86.067,13.933,97.101,2.899,44.67,224,0.875,bicubic,+5.771,+1.925,+9
cspresnet50,85.723,14.277,96.795,3.205,21.62,256,0.887,bilinear,+6.149,+2.087,+20 gluon_seresnext101_32x4d,86.056,13.944,96.966,3.034,48.96,224,0.875,bicubic,+5.178,+1.692,-15
gluon_resnext101_64x4d,85.701,14.299,96.641,3.358,83.46,224,0.875,bicubic,+5.072,+1.644,-24 ecaresnetlight,86.049,13.950,97.086,2.914,30.16,224,0.875,bicubic,+5.590,+1.884,-4
xception71,85.695,14.305,96.774,3.226,42.34,299,0.903,bicubic,+5.811,+1.842,+5 ecaresnet26t,86.030,13.970,97.039,2.961,16.01,320,0.950,bicubic,+6.146,+1.967,+23
efficientnet_em,85.693,14.307,96.941,3.059,6.90,240,0.882,bicubic,+6.429,+2.150,+31 efficientnet_b2,86.024,13.976,96.872,3.128,9.11,260,0.875,bicubic,+5.710,+1.760,+3
dpn107,85.640,14.360,96.729,3.271,86.92,224,0.875,bicubic,+5.484,+1.819,-6 gluon_seresnext101_64x4d,85.983,14.017,96.981,3.019,88.23,224,0.875,bicubic,+5.131,+1.645,-18
efficientnet_b2_pruned,85.637,14.363,96.746,3.254,8.31,260,0.890,bicubic,+5.731,+1.890,+1 resnet50d,85.962,14.038,96.970,3.030,25.58,224,0.875,bicubic,+5.470,+1.842,-10
ecaresnet50d_pruned,85.578,14.422,96.934,3.066,19.94,224,0.875,bicubic,+5.866,+2.058,+8 tf_efficientnet_b2_ap,85.936,14.064,96.778,3.222,9.11,260,0.890,bicubic,+5.696,+1.794,+6
gluon_resnet152_v1c,85.578,14.422,96.650,3.350,60.21,224,0.875,bicubic,+5.664,+1.802,-2 seresnet50,85.902,14.098,96.985,3.015,28.09,224,0.875,bicubic,+5.610,+1.937,+2
resnext50d_32x4d,85.565,14.435,96.746,3.254,25.05,224,0.875,bicubic,+5.897,+1.880,+9 gluon_resnet152_v1d,85.898,14.102,96.849,3.151,60.21,224,0.875,bicubic,+5.418,+1.587,-12
regnety_120,85.535,14.465,96.774,3.226,51.82,224,0.875,bicubic,+5.157,+1.652,-22 vit_large_patch32_384,85.896,14.104,97.391,2.609,306.63,384,1.000,bicubic,+4.390,+1.283,-40
regnetx_320,85.524,14.476,96.667,3.333,107.81,224,0.875,bicubic,+5.270,+1.637,-15 tf_efficientnet_b2,85.872,14.128,96.891,3.109,9.11,260,0.890,bicubic,+5.848,+1.947,+11
regnety_160,85.494,14.506,96.618,3.382,83.59,224,0.875,bicubic,+5.218,+1.650,-18 repvgg_b2g4,85.859,14.140,96.817,3.183,61.76,224,0.875,bilinear,+6.456,+2.111,+37
dpn92,85.482,14.518,96.635,3.365,37.67,224,0.875,bicubic,+5.492,+1.791,-9 mixnet_xl,85.806,14.194,96.674,3.326,11.90,224,0.875,bicubic,+5.382,+1.786,-11
gluon_resnet152_v1b,85.467,14.533,96.556,3.444,60.19,224,0.875,bicubic,+5.775,+1.822,+3 ens_adv_inception_resnet_v2,85.787,14.213,96.770,3.230,55.84,299,0.897,bicubic,+5.857,+1.820,+11
rexnet_130,85.467,14.533,96.684,3.316,7.56,224,0.875,bicubic,+5.973,+2.010,+9 resnet50,85.783,14.217,96.740,3.260,25.56,224,0.875,bicubic,+6.779,+2.348,+55
dpn131,85.403,14.597,96.646,3.354,79.25,224,0.875,bicubic,+5.577,+1.934,-5 tf_efficientnet_lite3,85.763,14.237,96.864,3.136,8.20,300,0.904,bilinear,+6.005,+2.000,+18
dla102x2,85.377,14.623,96.637,3.363,41.28,224,0.875,bilinear,+5.935,+1.991,+9 cspresnext50,85.738,14.262,96.827,3.173,20.57,224,0.875,bilinear,+5.732,+1.895,+6
regnetx_160,85.373,14.627,96.633,3.367,54.28,224,0.875,bicubic,+5.535,+1.809,-8 gluon_resnext101_64x4d,85.721,14.279,96.674,3.326,83.46,224,0.875,bicubic,+5.085,+1.684,-25
gluon_seresnext50_32x4d,85.341,14.659,96.671,3.329,27.56,224,0.875,bicubic,+5.417,+1.849,-14 legacy_seresnext101_32x4d,85.721,14.279,96.736,3.264,48.96,224,0.875,bilinear,+5.439,+1.712,-7
gluon_resnet101_v1c,85.317,14.683,96.413,3.587,44.57,224,0.875,bicubic,+5.785,+1.825,+3 regnety_320,85.721,14.279,96.757,3.243,145.05,224,0.875,bicubic,+4.939,+1.495,-31
xception65,85.315,14.685,96.633,3.367,39.92,299,0.903,bicubic,+5.765,+1.975,+1 cspresnet50,85.716,14.284,96.793,3.207,21.62,256,0.887,bilinear,+6.134,+2.081,+22
dpn98,85.311,14.689,96.466,3.534,61.57,224,0.875,bicubic,+5.661,+1.860,-3 efficientnet_em,85.701,14.299,96.951,3.049,6.90,240,0.882,bicubic,+6.471,+2.159,+36
skresnext50_32x4d,85.311,14.689,96.392,3.608,27.48,224,0.875,bicubic,+5.165,+1.752,-23 vit_deit_small_patch16_224,85.699,14.301,96.925,3.075,22.05,224,0.900,bicubic,+5.831,+1.883,+5
regnety_064,85.289,14.711,96.633,3.367,30.58,224,0.875,bicubic,+5.557,+1.869,-10 gluon_resnet101_v1d,85.686,14.313,96.689,3.312,44.57,224,0.875,bicubic,+5.256,+1.675,-23
dpn68b,85.285,14.715,96.471,3.529,12.61,224,0.875,bicubic,+6.073,+2.049,+13 xception71,85.667,14.333,96.791,3.209,42.34,299,0.903,bicubic,+5.821,+1.855,+6
resnetblur50,85.270,14.730,96.522,3.478,25.56,224,0.875,bicubic,+5.984,+1.882,+7 gluon_resnext101_32x4d,85.661,14.339,96.629,3.371,44.18,224,0.875,bicubic,+5.443,+1.721,-11
resnext50_32x4d,85.232,14.768,96.528,3.472,25.03,224,0.875,bicubic,+5.442,+1.922,-14 ese_vovnet39b,85.650,14.350,96.862,3.139,24.57,224,0.875,bicubic,+6.444,+2.134,+34
regnety_080,85.230,14.770,96.633,3.367,39.18,224,0.875,bicubic,+5.360,+1.803,-19 dpn107,85.640,14.360,96.710,3.290,86.92,224,0.875,bicubic,+5.460,+1.804,-12
gluon_inception_v3,85.185,14.815,96.528,3.472,23.83,299,0.875,bicubic,+6.385,+2.148,+23 ecaresnet50d_pruned,85.603,14.397,96.943,3.057,19.94,224,0.875,bicubic,+5.927,+2.021,+11
resnext101_32x8d,85.178,14.822,96.449,3.551,88.79,224,0.875,bilinear,+5.874,+1.923,+2 resnext50d_32x4d,85.588,14.412,96.744,3.256,25.05,224,0.875,bicubic,+5.900,+1.900,+9
hrnet_w48,85.153,14.847,96.490,3.510,77.47,224,0.875,bilinear,+5.837,+1.976,-2 efficientnet_b2_pruned,85.576,14.425,96.770,3.230,8.31,260,0.890,bicubic,+5.744,+1.964,+2
xception,85.146,14.854,96.477,3.523,22.86,299,0.897,bicubic,+6.100,+2.081,+13 regnety_120,85.571,14.429,96.761,3.239,51.82,224,0.875,bicubic,+5.197,+1.653,-28
regnetx_120,85.140,14.860,96.473,3.527,46.11,224,0.875,bicubic,+5.530,+1.741,-13 regnetx_320,85.556,14.444,96.676,3.324,107.81,224,0.875,bicubic,+5.242,+1.608,-25
tf_efficientnet_b1_ap,85.127,14.873,96.407,3.593,7.79,240,0.882,bicubic,+5.851,+2.105,0 regnety_160,85.535,14.465,96.680,3.320,83.59,224,0.875,bicubic,+5.121,+1.700,-31
gluon_resnet101_v1b,85.125,14.875,96.368,3.632,44.55,224,0.875,bicubic,+5.821,+1.838,-4 gluon_resnet152_v1c,85.524,14.476,96.650,3.350,60.21,224,0.875,bicubic,+5.674,+1.760,-5
hrnet_w64,85.123,14.877,96.746,3.254,128.06,224,0.875,bilinear,+5.661,+2.092,-11 rexnet_130,85.524,14.476,96.663,3.337,7.56,224,0.875,bicubic,+6.008,+2.003,+10
gluon_xception65,85.121,14.879,96.599,3.401,39.92,299,0.903,bicubic,+5.419,+1.731,-21 gluon_resnet152_v1b,85.520,14.480,96.554,3.446,60.19,224,0.875,bicubic,+5.886,+1.796,+4
ssl_resnet50,85.110,14.890,96.864,3.136,25.56,224,0.875,bilinear,+5.874,+2.034,-2 nf_regnet_b1,85.488,14.512,96.799,3.200,10.22,288,0.900,bicubic,+6.164,+2.027,+13
res2net101_26w_4s,85.089,14.911,96.383,3.617,45.21,224,0.875,bilinear,+5.895,+1.949,+1 dpn92,85.471,14.529,96.629,3.371,37.67,224,0.875,bicubic,+5.437,+1.811,-18
tf_efficientnet_cc_b1_8e,85.072,14.928,96.426,3.574,39.72,240,0.882,bicubic,+5.746,+2.054,-12 dpn131,85.441,14.559,96.590,3.410,79.25,224,0.875,bicubic,+5.575,+1.864,-11
res2net50_26w_8s,85.008,14.992,96.405,3.595,48.40,224,0.875,bilinear,+5.816,+2.037,0 regnetx_160,85.426,14.574,96.665,3.335,54.28,224,0.875,bicubic,+5.542,+1.839,-14
tf_efficientnet_b0_ns,85.001,14.999,96.499,3.502,5.29,224,0.875,bicubic,+6.341,+2.126,+17 dla102x2,85.383,14.617,96.599,3.401,41.28,224,0.875,bilinear,+5.955,+1.971,+6
resnest26d,84.997,15.003,96.631,3.369,17.07,224,0.875,bilinear,+6.517,+2.331,+21 xception65,85.353,14.646,96.629,3.371,39.92,299,0.903,bicubic,+5.761,+1.971,-1
gluon_resnext50_32x4d,84.993,15.007,96.426,3.574,25.03,224,0.875,bicubic,+5.639,+2.002,-17 gluon_seresnext50_32x4d,85.317,14.683,96.723,3.277,27.56,224,0.875,bicubic,+5.369,+1.887,-20
regnety_040,84.954,15.046,96.601,3.399,20.65,224,0.875,bicubic,+5.722,+1.957,-8 dpn98,85.315,14.685,96.501,3.499,61.57,224,0.875,bicubic,+5.627,+1.857,-7
tf_efficientnet_em,84.926,15.074,96.424,3.576,6.90,240,0.882,bicubic,+6.214,+2.096,+8 regnety_080,85.315,14.685,96.663,3.337,39.18,224,0.875,bicubic,+5.475,+1.815,-14
tf_efficientnet_b1,84.916,15.084,96.362,3.638,7.79,240,0.882,bicubic,+6.072,+2.166,+4 skresnext50_32x4d,85.311,14.689,96.362,3.638,27.48,224,0.875,bicubic,+5.157,+1.660,-29
legacy_seresnext50_32x4d,84.914,15.086,96.441,3.559,27.56,224,0.875,bilinear,+5.830,+2.007,-6 regnety_064,85.291,14.709,96.650,3.350,30.58,224,0.875,bicubic,+5.555,+1.892,-12
dla169,84.909,15.091,96.524,3.476,53.39,224,0.875,bilinear,+6.215,+2.194,+8 dpn68b,85.262,14.738,96.449,3.551,12.61,224,0.875,bicubic,+6.122,+2.025,+14
hrnet_w44,84.888,15.112,96.434,3.566,67.06,224,0.875,bilinear,+5.998,+2.060,-1 resnetblur50,85.247,14.753,96.565,3.435,25.56,224,0.875,bicubic,+5.985,+1.943,+5
regnetx_080,84.871,15.129,96.430,3.570,39.57,224,0.875,bicubic,+5.659,+1.876,-12 gluon_resnet101_v1c,85.230,14.770,96.481,3.519,44.57,224,0.875,bicubic,+5.680,+1.839,-6
gluon_resnet50_v1s,84.856,15.144,96.447,3.553,25.68,224,0.875,bicubic,+6.156,+2.201,+4 gluon_inception_v3,85.228,14.773,96.533,3.467,23.83,299,0.875,bicubic,+6.398,+2.135,+25
mixnet_l,84.824,15.176,96.328,3.672,7.33,224,0.875,bicubic,+5.844,+2.146,-7 resnext101_32x8d,85.223,14.777,96.492,3.508,88.79,224,0.875,bilinear,+6.013,+1.936,+7
dla60_res2next,84.824,15.176,96.411,3.589,17.03,224,0.875,bilinear,+6.380,+2.253,+14 resnext50_32x4d,85.200,14.800,96.505,3.495,25.03,224,0.875,bicubic,+5.478,+1.899,-17
tv_resnet152,84.822,15.178,96.225,3.775,60.19,224,0.875,bilinear,+6.502,+2.173,+15 hrnet_w64,85.191,14.809,96.721,3.280,128.06,224,0.875,bilinear,+5.703,+2.082,-8
dla60_res2net,84.820,15.180,96.477,3.523,20.85,224,0.875,bilinear,+6.360,+2.271,+9 gluon_xception65,85.170,14.830,96.595,3.405,39.92,299,0.903,bicubic,+5.414,+1.743,-21
dla102x,84.815,15.185,96.552,3.448,26.31,224,0.875,bilinear,+6.305,+2.322,+5 ssl_resnet50,85.161,14.839,96.868,3.132,25.56,224,0.875,bilinear,+5.921,+1.954,-1
gluon_resnet50_v1d,84.813,15.187,96.394,3.606,25.58,224,0.875,bicubic,+5.749,+1.924,-14 gluon_resnet101_v1b,85.155,14.845,96.379,3.621,44.55,224,0.875,bicubic,+5.795,+1.871,-8
xception41,84.809,15.191,96.411,3.589,26.97,299,0.903,bicubic,+6.273,+2.127,+2 hrnet_w48,85.153,14.847,96.477,3.523,77.47,224,0.875,bilinear,+5.917,+1.955,-2
regnetx_064,84.779,15.221,96.492,3.508,26.21,224,0.875,bicubic,+5.715,+2.032,-17 xception,85.146,14.854,96.496,3.504,22.86,299,0.897,bicubic,+6.118,+2.126,+9
hrnet_w40,84.749,15.251,96.558,3.442,57.56,224,0.875,bilinear,+5.817,+2.080,-13 tf_efficientnet_b1_ap,85.140,14.860,96.411,3.589,7.79,240,0.882,bicubic,+5.850,+2.085,-8
res2net50_26w_6s,84.724,15.276,96.276,3.724,37.05,224,0.875,bilinear,+6.158,+2.156,-2 regnetx_120,85.104,14.896,96.473,3.527,46.11,224,0.875,bicubic,+5.530,+1.781,-18
legacy_seresnet152,84.698,15.302,96.422,3.578,66.82,224,0.875,bilinear,+6.032,+2.046,-5 res2net101_26w_4s,85.095,14.905,96.326,3.674,45.21,224,0.875,bilinear,+5.975,+1.894,+2
selecsls60b,84.657,15.343,96.302,3.698,32.77,224,0.875,bicubic,+6.247,+2.124,+4 tf_efficientnet_cc_b1_8e,85.065,14.935,96.417,3.583,39.72,240,0.882,bicubic,+5.777,+2.059,-10
hrnet_w32,84.655,15.345,96.409,3.591,41.23,224,0.875,bilinear,+6.209,+2.219,+1 gluon_resnext50_32x4d,85.050,14.950,96.462,3.538,25.03,224,0.875,bicubic,+5.730,+1.962,-13
regnetx_040,84.602,15.398,96.390,3.610,22.12,224,0.875,bicubic,+6.118,+2.138,-3 res2net50_26w_8s,85.010,14.990,96.471,3.529,48.40,224,0.875,bilinear,+5.880,+2.067,-2
efficientnet_es,84.598,15.402,96.313,3.687,5.44,224,0.875,bicubic,+6.510,+2.381,+10 hrnet_w44,84.988,15.012,96.479,3.521,67.06,224,0.875,bilinear,+6.102,+2.069,+7
hrnet_w30,84.585,15.415,96.396,3.604,37.71,224,0.875,bilinear,+6.379,+2.172,+6 tf_efficientnet_b0_ns,84.980,15.020,96.535,3.465,5.29,224,0.875,bicubic,+6.380,+2.147,+16
tf_mixnet_l,84.559,15.441,96.247,3.753,7.33,224,0.875,bicubic,+5.783,+2.245,-16 dla169,84.961,15.039,96.494,3.506,53.39,224,0.875,bilinear,+6.229,+2.160,+11
wide_resnet101_2,84.555,15.445,96.349,3.651,126.89,224,0.875,bilinear,+5.701,+2.067,-20 regnety_040,84.952,15.048,96.633,3.367,20.65,224,0.875,bicubic,+5.736,+1.971,-11
efficientnet_b1,84.536,15.464,96.161,3.839,7.79,240,0.875,bicubic,+5.830,+2.007,-16 tf_efficientnet_b1,84.948,15.052,96.351,3.649,7.79,240,0.882,bicubic,+6.116,+2.145,+5
dla60x,84.527,15.473,96.291,3.709,17.35,224,0.875,bilinear,+6.277,+2.267,-1 resnest26d,84.939,15.061,96.588,3.412,17.07,224,0.875,bilinear,+6.499,+2.292,+19
legacy_seresnet101,84.504,15.496,96.338,3.662,49.33,224,0.875,bilinear,+6.124,+2.076,-4 legacy_seresnext50_32x4d,84.937,15.063,96.484,3.517,27.56,224,0.875,bilinear,+5.829,+2.006,-7
efficientnet_b1_pruned,84.401,15.599,96.142,3.858,6.33,240,0.882,bicubic,+6.153,+2.306,-2 gluon_resnet50_v1s,84.903,15.097,96.486,3.514,25.68,224,0.875,bicubic,+6.115,+2.246,+5
res2net50_26w_4s,84.378,15.622,96.082,3.918,25.70,224,0.875,bilinear,+6.386,+2.230,+5 dla60_res2net,84.865,15.136,96.430,3.570,20.85,224,0.875,bilinear,+6.343,+2.178,+11
res2net50_14w_8s,84.307,15.693,96.076,3.924,25.06,224,0.875,bilinear,+6.169,+2.220,0 dla102x,84.845,15.155,96.539,3.461,26.31,224,0.875,bilinear,+6.317,+2.333,+9
selecsls60,84.284,15.716,96.089,3.911,30.67,224,0.875,bicubic,+6.294,+2.261,+4 mixnet_l,84.832,15.168,96.306,3.694,7.33,224,0.875,bicubic,+5.900,+2.122,-6
regnetx_032,84.228,15.772,96.253,3.747,15.30,224,0.875,bicubic,+6.080,+2.165,-3 gluon_resnet50_v1d,84.824,15.176,96.439,3.561,25.58,224,0.875,bicubic,+5.752,+1.961,-10
res2next50,84.222,15.778,96.001,3.999,24.67,224,0.875,bilinear,+5.986,+2.095,-6 regnetx_080,84.822,15.178,96.473,3.527,39.57,224,0.875,bicubic,+5.648,+1.917,-17
gluon_resnet50_v1c,84.205,15.795,96.168,3.832,25.58,224,0.875,bicubic,+6.197,+2.180,-1 regnetx_064,84.813,15.187,96.526,3.474,26.21,224,0.875,bicubic,+5.735,+2.066,-13
dla102,84.196,15.804,96.223,3.777,33.27,224,0.875,bilinear,+6.166,+2.271,-3 xception41,84.805,15.195,96.415,3.585,26.97,299,0.903,bicubic,+6.309,+2.159,+7
rexnet_100,84.173,15.827,96.257,3.743,4.80,224,0.875,bicubic,+6.311,+2.379,+5 repvgg_b2,84.777,15.223,96.411,3.589,89.02,224,0.875,bilinear,+5.895,+2.065,-7
tf_inception_v3,84.134,15.866,95.918,4.082,23.83,299,0.875,bicubic,+6.268,+2.272,+3 tv_resnet152,84.775,15.225,96.174,3.826,60.19,224,0.875,bilinear,+6.525,+2.192,+13
res2net50_48w_2s,84.119,15.881,95.965,4.035,25.29,224,0.875,bilinear,+6.585,+2.405,+11 dla60_res2next,84.766,15.234,96.426,3.574,17.03,224,0.875,bilinear,+6.444,+2.236,+10
resnet34d,84.104,15.896,95.975,4.025,21.82,224,0.875,bicubic,+6.990,+2.593,+21 hrnet_w40,84.764,15.236,96.552,3.448,57.56,224,0.875,bilinear,+5.858,+2.118,-12
tf_efficientnet_lite2,84.096,15.904,96.063,3.937,6.09,260,0.890,bicubic,+6.614,+2.315,+10 res2net50_26w_6s,84.758,15.242,96.330,3.670,37.05,224,0.875,bilinear,+6.154,+2.166,-3
efficientnet_b0,84.043,15.957,95.960,4.040,5.29,224,0.875,bicubic,+6.337,+2.438,+2 selecsls60b,84.698,15.302,96.345,3.655,32.77,224,0.875,bicubic,+6.202,+2.153,0
seresnext26t_32x4d,83.985,16.015,95.867,4.133,16.82,224,0.875,bicubic,+5.997,+2.134,-6 legacy_seresnet152,84.681,15.319,96.377,3.623,66.82,224,0.875,bilinear,+6.037,+1.987,-7
tf_efficientnet_cc_b0_8e,83.970,16.030,96.067,3.933,24.01,224,0.875,bicubic,+6.062,+2.415,-5 tf_mixnet_l,84.649,15.351,96.217,3.783,7.33,224,0.875,bicubic,+5.847,+2.163,-11
regnety_016,83.955,16.045,96.001,3.999,11.20,224,0.875,bicubic,+6.087,+2.275,-5 regnetx_040,84.634,15.366,96.432,3.568,22.12,224,0.875,bicubic,+6.140,+2.162,-1
tv_resnext50_32x4d,83.955,16.045,95.943,4.057,25.03,224,0.875,bilinear,+6.341,+2.259,0 wide_resnet101_2,84.604,15.396,96.373,3.627,126.89,224,0.875,bilinear,+5.694,+2.029,-19
gluon_resnet50_v1b,83.942,16.058,96.016,3.984,25.56,224,0.875,bicubic,+6.364,+2.298,+2 hrnet_w32,84.596,15.405,96.434,3.566,41.23,224,0.875,bilinear,+6.171,+2.232,0
densenet161,83.902,16.098,96.010,3.990,28.68,224,0.875,bicubic,+6.542,+2.376,+6 efficientnet_es,84.576,15.424,96.298,3.702,5.44,224,0.875,bicubic,+6.544,+2.398,+11
seresnext26tn_32x4d,83.887,16.113,95.939,4.061,16.81,224,0.875,bicubic,+5.901,+2.195,-11 efficientnet_b1,84.546,15.454,96.148,3.852,7.79,240,0.875,bicubic,+5.942,+2.054,-12
adv_inception_v3,83.882,16.118,95.941,4.059,23.83,299,0.875,bicubic,+6.300,+2.201,-2 dla60x,84.544,15.456,96.244,3.756,17.35,224,0.875,bilinear,+6.318,+2.256,+2
mobilenetv2_120d,83.882,16.118,95.911,4.089,5.83,224,0.875,bicubic,+6.604,+2.401,+7 hrnet_w30,84.531,15.469,96.432,3.568,37.71,224,0.875,bilinear,+6.397,+2.240,+4
tv_resnet101,83.853,16.148,95.888,4.112,44.55,224,0.875,bilinear,+6.487,+2.332,+1 legacy_seresnet101,84.521,15.479,96.330,3.670,49.33,224,0.875,bilinear,+6.101,+2.156,-4
inception_v3,83.771,16.229,95.898,4.101,23.83,299,0.875,bicubic,+6.307,+2.422,-1 repvgg_b1,84.467,15.533,96.296,3.704,57.42,224,0.875,bilinear,+6.025,+2.138,-8
dla60,83.735,16.265,95.931,4.069,22.04,224,0.875,bilinear,+6.699,+2.607,+10 tf_efficientnet_em,84.467,15.533,96.185,3.815,6.90,240,0.882,bicubic,+6.307,+2.139,-1
vit_small_patch16_224,83.731,16.269,95.753,4.247,48.75,224,0.900,bicubic,+5.877,+2.329,-12 efficientnet_b1_pruned,84.420,15.580,96.123,3.877,6.33,240,0.882,bicubic,+6.146,+2.315,-5
seresnext26d_32x4d,83.727,16.273,95.845,4.155,16.81,224,0.875,bicubic,+6.141,+2.237,-9 res2net50_26w_4s,84.369,15.631,96.097,3.903,25.70,224,0.875,bilinear,+6.403,+2.267,+4
legacy_seresnet50,83.665,16.335,95.975,4.025,28.09,224,0.875,bilinear,+6.029,+2.231,-12 res2net50_14w_8s,84.322,15.678,96.080,3.920,25.06,224,0.875,bilinear,+6.204,+2.244,-1
tf_efficientnet_b0_ap,83.665,16.335,95.783,4.217,5.29,224,0.875,bicubic,+6.563,+2.519,+5 regnetx_032,84.314,15.686,96.249,3.751,15.30,224,0.875,bicubic,+6.166,+2.183,-4
skresnet34,83.652,16.348,95.924,4.076,22.28,224,0.875,bicubic,+6.722,+2.602,+8 dla102,84.271,15.729,96.165,3.835,33.27,224,0.875,bilinear,+6.217,+2.247,-1
tf_efficientnet_es,83.643,16.357,95.941,4.059,5.44,224,0.875,bicubic,+6.359,+2.337,-3 rexnet_100,84.192,15.808,96.212,3.788,4.80,224,0.875,bicubic,+6.306,+2.354,+4
tf_efficientnet_cc_b0_4e,83.641,16.359,95.730,4.270,13.31,224,0.875,bicubic,+6.321,+2.408,-6 res2next50,84.160,15.840,96.031,3.969,24.67,224,0.875,bilinear,+6.080,+2.079,-4
densenet201,83.549,16.451,95.807,4.193,20.01,224,0.875,bicubic,+6.259,+2.327,-6 res2net50_48w_2s,84.154,15.846,95.978,4.022,25.29,224,0.875,bilinear,+6.636,+2.396,+13
legacy_seresnext26_32x4d,83.522,16.478,95.719,4.281,16.79,224,0.875,bicubic,+6.416,+2.411,-1 gluon_resnet50_v1c,84.132,15.868,96.198,3.803,25.58,224,0.875,bicubic,+6.206,+2.192,-2
tf_efficientnet_b0,83.517,16.483,95.719,4.281,5.29,224,0.875,bicubic,+6.669,+2.487,+4 selecsls60,84.128,15.872,96.106,3.894,30.67,224,0.875,bicubic,+6.214,+2.284,-1
mixnet_m,83.513,16.487,95.691,4.309,5.01,224,0.875,bicubic,+6.239,+2.269,-6 resnet34d,84.107,15.893,95.980,4.020,21.82,224,0.875,bicubic,+7.011,+2.556,+22
hrnet_w18,83.507,16.493,95.903,4.097,21.30,224,0.875,bilinear,+6.743,+2.461,+4 tf_inception_v3,84.077,15.923,95.922,4.078,23.83,299,0.875,bicubic,+6.273,+2.198,+1
densenetblur121d,83.483,16.517,95.822,4.178,8.00,224,0.875,bicubic,+6.897,+2.626,+6 gluon_resnet50_v1b,84.047,15.953,95.995,4.005,25.56,224,0.875,bicubic,+6.383,+2.321,+2
selecsls42b,83.462,16.538,95.747,4.253,32.46,224,0.875,bicubic,+6.278,+2.359,-8 tf_efficientnet_lite2,84.045,15.955,96.118,3.881,6.09,260,0.890,bicubic,+6.605,+2.356,+9
tf_efficientnet_lite1,83.361,16.639,95.642,4.358,5.42,240,0.882,bicubic,+6.695,+2.404,+3 efficientnet_b0,84.019,15.981,95.909,4.091,5.29,224,0.875,bicubic,+6.409,+2.345,+3
regnetx_016,83.184,16.816,95.743,4.257,9.19,224,0.875,bicubic,+6.238,+2.317,-4 tv_resnext50_32x4d,84.019,15.981,95.982,4.018,25.03,224,0.875,bilinear,+6.391,+2.302,0
dpn68,83.174,16.826,95.589,4.411,12.61,224,0.875,bicubic,+6.862,+2.621,+5 tf_efficientnet_cc_b0_8e,83.957,16.043,96.025,3.975,24.01,224,0.875,bicubic,+6.031,+2.427,-9
tf_mixnet_m,83.174,16.826,95.467,4.533,5.01,224,0.875,bicubic,+6.218,+2.303,-7 mobilenetv2_120d,83.908,16.092,95.913,4.087,5.83,224,0.875,bicubic,+6.580,+2.436,+8
mobilenetv2_140,83.171,16.829,95.689,4.311,6.11,224,0.875,bicubic,+6.659,+2.691,+1 densenet161,83.891,16.109,95.995,4.005,28.68,224,0.875,bicubic,+6.553,+2.307,+6
ese_vovnet19b_dw,83.109,16.890,95.787,4.213,6.54,224,0.875,bicubic,+6.291,+2.510,-5 adv_inception_v3,83.880,16.120,95.926,4.074,23.83,299,0.875,bicubic,+6.318,+2.240,-1
resnet26d,83.037,16.963,95.595,4.405,16.01,224,0.875,bicubic,+6.349,+2.449,-4 regnety_016,83.863,16.137,96.033,3.967,11.20,224,0.875,bicubic,+6.059,+2.383,-7
tv_resnet50,82.962,17.038,95.472,4.529,25.56,224,0.875,bilinear,+6.804,+2.594,+1 tv_resnet101,83.861,16.139,95.860,4.140,44.55,224,0.875,bilinear,+6.547,+2.304,+6
densenet121,82.811,17.189,95.587,4.413,7.98,224,0.875,bicubic,+7.247,+2.939,+6 seresnext26t_32x4d,83.825,16.175,95.922,4.078,16.81,224,0.875,bicubic,+5.995,+2.194,-11
densenet169,82.661,17.339,95.595,4.405,14.15,224,0.875,bicubic,+6.763,+2.573,+1 seresnext26d_32x4d,83.742,16.259,95.867,4.133,16.81,224,0.875,bicubic,+6.224,+2.261,-2
mixnet_s,82.529,17.471,95.352,4.648,4.13,224,0.875,bicubic,+6.535,+2.562,-1 vit_small_patch16_224,83.735,16.265,95.762,4.238,48.75,224,0.900,bicubic,+5.863,+2.370,-14
regnety_008,82.478,17.523,95.476,4.524,6.26,224,0.875,bicubic,+6.158,+2.408,-5 inception_v3,83.705,16.295,95.884,4.116,23.83,299,0.875,bicubic,+6.295,+2.410,-2
efficientnet_lite0,82.388,17.612,95.279,4.721,4.65,224,0.875,bicubic,+6.886,+2.765,+5 dla60,83.697,16.303,95.967,4.033,22.04,224,0.875,bilinear,+6.773,+2.677,+9
resnest14d,82.364,17.636,95.324,4.676,10.61,224,0.875,bilinear,+6.850,+2.806,+2 repvgg_b1g4,83.697,16.303,96.029,3.971,39.97,224,0.875,bilinear,+6.157,+2.235,-8
mobilenetv3_rw,82.270,17.730,95.241,4.759,5.48,224,0.875,bicubic,+6.650,+2.529,-1 tf_efficientnet_b0_ap,83.645,16.355,95.762,4.238,5.29,224,0.875,bicubic,+6.573,+2.500,+5
semnasnet_100,82.253,17.747,95.234,4.766,3.89,224,0.875,bicubic,+6.801,+2.624,+3 skresnet34,83.639,16.361,95.903,4.097,22.28,224,0.875,bicubic,+6.729,+2.631,+8
mobilenetv3_large_100,82.172,17.828,95.194,4.806,5.48,224,0.875,bicubic,+6.398,+2.656,-5 densenet201,83.615,16.384,95.835,4.165,20.01,224,0.875,bicubic,+6.296,+2.353,-4
resnet34,82.125,17.875,95.134,4.866,21.80,224,0.875,bilinear,+7.019,+2.858,+6 tf_efficientnet_cc_b0_4e,83.609,16.391,95.775,4.225,13.31,224,0.875,bicubic,+6.313,+2.415,-3
mobilenetv2_110d,82.074,17.926,95.076,4.923,4.52,224,0.875,bicubic,+7.026,+2.886,+7 hrnet_w18,83.584,16.416,95.926,4.074,21.30,224,0.875,bilinear,+6.752,+2.522,+7
tf_mixnet_s,82.040,17.960,95.128,4.872,4.13,224,0.875,bicubic,+6.358,+2.490,-7 legacy_seresnet50,83.579,16.421,96.093,3.907,28.09,224,0.875,bilinear,+5.967,+2.297,-17
hrnet_w18_small_v2,81.959,18.041,95.166,4.834,15.60,224,0.875,bilinear,+6.851,+2.754,+2 legacy_seresnext26_32x4d,83.509,16.491,95.745,4.255,16.79,224,0.875,bicubic,+6.393,+2.387,-4
tf_efficientnet_lite0,81.950,18.050,95.164,4.836,4.65,224,0.875,bicubic,+7.118,+2.990,+5 tf_efficientnet_b0,83.500,16.500,95.709,4.292,5.29,224,0.875,bicubic,+6.670,+2.436,+5
resnet26,81.933,18.067,95.237,4.763,16.00,224,0.875,bicubic,+6.643,+2.671,-3 gernet_s,83.492,16.508,95.787,4.213,8.17,224,0.875,bilinear,+6.618,+2.659,+2
tf_mobilenetv3_large_100,81.841,18.159,95.076,4.923,5.48,224,0.875,bilinear,+6.331,+2.466,-7 selecsls42b,83.492,16.508,95.779,4.221,32.46,224,0.875,bicubic,+6.396,+2.387,-6
tv_densenet121,81.724,18.276,95.034,4.966,7.98,224,0.875,bicubic,+6.982,+2.880,+4 mixnet_m,83.485,16.515,95.696,4.304,5.01,224,0.875,bicubic,+6.309,+2.270,-9
regnety_006,81.705,18.295,95.109,4.891,6.06,224,0.875,bicubic,+6.437,+2.579,-5 densenetblur121d,83.394,16.607,95.798,4.202,8.00,224,0.875,bicubic,+6.919,+2.702,+8
dla34,81.658,18.342,94.872,5.128,15.74,224,0.875,bilinear,+7.034,+2.810,+4 tf_efficientnet_lite1,83.347,16.654,95.664,4.336,5.42,240,0.882,bicubic,+6.719,+2.416,+2
fbnetc_100,81.553,18.447,94.953,5.047,5.57,224,0.875,bilinear,+6.437,+2.579,-6 ese_vovnet19b_dw,83.246,16.754,95.790,4.210,6.54,224,0.875,bicubic,+6.474,+2.514,0
legacy_seresnet34,81.527,18.473,94.899,5.101,21.96,224,0.875,bilinear,+6.737,+2.773,-1 regnetx_016,83.206,16.794,95.745,4.255,9.19,224,0.875,bicubic,+6.292,+2.373,-6
regnetx_008,81.510,18.490,95.057,4.943,7.26,224,0.875,bicubic,+6.458,+2.715,-5 mobilenetv2_140,83.191,16.809,95.638,4.362,6.11,224,0.875,bicubic,+6.653,+2.694,+2
gluon_resnet34_v1b,81.487,18.513,94.812,5.188,21.80,224,0.875,bicubic,+6.899,+2.816,+1 dpn68,83.189,16.811,95.632,4.368,12.61,224,0.875,bicubic,+6.811,+2.654,+4
mnasnet_100,81.478,18.522,94.895,5.105,4.38,224,0.875,bicubic,+6.808,+2.793,-2 tf_mixnet_m,83.189,16.811,95.491,4.509,5.01,224,0.875,bicubic,+6.225,+2.279,-11
spnasnet_100,80.872,19.128,94.511,5.489,4.42,224,0.875,bilinear,+6.792,+2.691,0 tf_efficientnet_es,83.178,16.822,95.595,4.405,5.44,224,0.875,bicubic,+6.616,+2.411,-2
regnety_004,80.654,19.346,94.697,5.303,4.34,224,0.875,bicubic,+6.636,+2.933,0 repvgg_a2,83.097,16.903,95.583,4.417,28.21,224,0.875,bilinear,+6.609,+2.561,-1
skresnet18,80.629,19.371,94.385,5.615,11.96,224,0.875,bicubic,+7.603,+3.213,+4 resnet26d,82.977,17.023,95.647,4.353,16.01,224,0.875,bicubic,+6.377,+2.459,-5
regnetx_006,80.612,19.389,94.524,5.476,6.20,224,0.875,bicubic,+6.768,+2.846,-1 tv_resnet50,82.945,17.055,95.523,4.477,25.56,224,0.875,bilinear,+6.933,+2.589,+2
swsl_resnet18,80.571,19.429,94.750,5.250,11.69,224,0.875,bilinear,+7.291,+2.992,+1 densenet121,82.866,17.134,95.521,4.479,7.98,224,0.875,bicubic,+7.336,+2.905,+7
resnet18d,80.387,19.613,94.252,5.748,11.71,224,0.875,bicubic,+8.113,+3.564,+6 densenet169,82.719,17.281,95.568,4.432,14.15,224,0.875,bicubic,+6.769,+2.574,+1
tv_resnet34,80.374,19.625,94.432,5.568,21.80,224,0.875,bilinear,+7.070,+3.008,-2 mixnet_s,82.561,17.439,95.365,4.635,4.13,224,0.875,bicubic,+6.499,+2.539,-2
mobilenetv2_100,80.268,19.732,94.197,5.803,3.50,224,0.875,bicubic,+7.318,+3.195,0 regnety_008,82.548,17.452,95.501,4.499,6.26,224,0.875,bicubic,+6.224,+2.401,-4
ssl_resnet18,80.112,19.888,94.594,5.406,11.69,224,0.875,bilinear,+7.496,+3.178,0 efficientnet_lite0,82.367,17.634,95.294,4.706,4.65,224,0.875,bicubic,+6.922,+2.750,+5
tf_mobilenetv3_large_075,80.088,19.912,94.188,5.812,3.99,224,0.875,bilinear,+6.640,+2.846,-6 resnest14d,82.345,17.655,95.309,4.691,10.61,224,0.875,bilinear,+6.757,+2.821,0
hrnet_w18_small,79.537,20.462,93.909,6.091,13.19,224,0.875,bilinear,+7.201,+3.225,0 mobilenetv3_rw,82.296,17.704,95.222,4.778,5.48,224,0.875,bicubic,+6.754,+2.546,0
regnetx_004,79.439,20.561,93.843,6.157,5.16,224,0.875,bicubic,+7.045,+3.025,-2 semnasnet_100,82.234,17.766,95.243,4.757,3.89,224,0.875,bicubic,+6.808,+2.695,+3
tf_mobilenetv3_large_minimal_100,79.226,20.774,93.712,6.288,3.92,224,0.875,bilinear,+6.982,+3.076,0 mobilenetv3_large_100,82.151,17.849,95.160,4.840,5.48,224,0.875,bicubic,+6.441,+2.664,-5
legacy_seresnet18,79.145,20.855,93.778,6.222,11.78,224,0.875,bicubic,+7.409,+3.436,0 resnet34,82.119,17.881,95.115,4.885,21.80,224,0.875,bilinear,+7.023,+2.869,+6
gluon_resnet18_v1b,78.378,21.622,93.134,6.866,11.69,224,0.875,bicubic,+7.540,+3.376,0 mobilenetv2_110d,82.080,17.920,95.068,4.932,4.52,224,0.875,bicubic,+7.032,+2.936,+7
regnety_002,77.409,22.591,92.916,7.084,3.16,224,0.875,bicubic,+7.131,+3.370,0 resnet26,82.055,17.945,95.277,4.723,16.00,224,0.875,bicubic,+6.661,+2.693,0
resnet18,77.274,22.726,92.760,7.240,11.69,224,0.875,bilinear,+7.532,+3.674,0 tf_mixnet_s,82.023,17.977,95.145,4.855,4.13,224,0.875,bicubic,+6.365,+2.527,-8
regnetx_002,76.106,23.893,92.207,7.793,2.68,224,0.875,bicubic,+7.353,+3.647,0 repvgg_b0,82.012,17.988,95.128,4.872,15.82,224,0.875,bilinear,+6.798,+2.674,-1
dla60x_c,75.658,24.342,92.166,7.834,1.32,224,0.875,bilinear,+7.746,+3.748,+1 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
tf_mobilenetv3_small_100,74.734,25.266,91.274,8.726,2.54,224,0.875,bilinear,+6.812,+3.598,-1 hrnet_w18_small_v2,81.989,18.011,95.158,4.842,15.60,224,0.875,bilinear,+6.825,+2.728,-1
dla46x_c,73.647,26.353,91.112,8.888,1.07,224,0.875,bilinear,+7.671,+4.124,0 tf_efficientnet_lite0,81.884,18.116,95.126,4.874,4.65,224,0.875,bicubic,+7.016,+2.996,+4
tf_mobilenetv3_small_075,72.821,27.179,90.031,9.969,2.04,224,0.875,bilinear,+7.097,+3.897,0 tf_mobilenetv3_large_100,81.848,18.152,95.057,4.943,5.48,224,0.875,bilinear,+6.328,+2.507,-9
dla46_c,72.601,27.399,90.495,9.505,1.30,224,0.875,bilinear,+7.731,+4.201,0 tv_densenet121,81.758,18.242,94.993,5.007,7.98,224,0.875,bicubic,+7.012,+2.863,+3
tf_mobilenetv3_small_minimal_100,70.109,29.891,88.516,11.485,2.04,224,0.875,bilinear,+7.199,+4.272,0 dla34,81.668,18.332,94.908,5.092,15.74,224,0.875,bilinear,+7.032,+2.786,+4
inception_v4,1.507,98.493,19.038,80.962,42.68,299,0.875,bicubic,+0.499,+2.184,0 regnety_006,81.641,18.359,95.119,4.881,6.06,224,0.875,bicubic,+6.435,+2.559,-7
pnasnet5large,1.478,98.522,20.749,79.251,86.06,331,0.911,bicubic,+0.493,+2.173,+1 legacy_seresnet34,81.626,18.374,94.938,5.062,21.96,224,0.875,bilinear,+6.714,+2.774,-2
ens_adv_inception_resnet_v2,1.428,98.572,19.416,80.584,55.85,299,0.897,bicubic,+0.430,+2.092,-1 fbnetc_100,81.544,18.456,94.953,5.047,5.57,224,0.875,bilinear,+6.463,+2.599,-6
inception_resnet_v2,1.415,98.585,19.444,80.556,55.85,299,0.897,bicubic,+0.466,+2.150,0 mnasnet_100,81.453,18.547,94.946,5.054,4.38,224,0.875,bicubic,+6.761,+2.806,-1
gluon_resnet34_v1b,81.433,18.567,94.799,5.201,21.80,224,0.875,bicubic,+6.938,+2.791,0
vgg19_bn,81.429,18.571,94.782,5.218,143.68,224,0.875,bilinear,+7.213,+2.934,+1
regnetx_008,81.425,18.575,95.032,4.968,7.26,224,0.875,bicubic,+6.399,+2.700,-8
spnasnet_100,80.893,19.107,94.570,5.429,4.42,224,0.875,bilinear,+6.773,+2.688,0
vgg16_bn,80.722,19.277,94.607,5.393,138.37,224,0.875,bilinear,+7.246,+3.071,+2
regnetx_006,80.659,19.341,94.579,5.421,6.20,224,0.875,bicubic,+6.697,+2.895,-1
swsl_resnet18,80.586,19.414,94.831,5.169,11.69,224,0.875,bilinear,+7.268,+3.079,+2
regnety_004,80.573,19.427,94.697,5.303,4.34,224,0.875,bicubic,+6.631,+2.942,-2
skresnet18,80.573,19.427,94.342,5.658,11.96,224,0.875,bicubic,+7.573,+3.186,+2
resnet18d,80.426,19.574,94.306,5.694,11.71,224,0.875,bicubic,+8.046,+3.596,+5
tv_resnet34,80.345,19.655,94.445,5.555,21.80,224,0.875,bilinear,+7.079,+3.015,-1
mobilenetv2_100,80.266,19.734,94.246,5.754,3.50,224,0.875,bicubic,+7.310,+3.204,0
vit_deit_tiny_patch16_224,80.065,19.935,94.445,5.555,5.72,224,0.900,bicubic,+7.869,+3.353,+6
tf_mobilenetv3_large_075,80.044,19.956,94.227,5.773,3.99,224,0.875,bilinear,+6.672,+2.823,-6
ssl_resnet18,80.037,19.963,94.588,5.412,11.69,224,0.875,bilinear,+7.545,+3.146,-1
hrnet_w18_small,79.550,20.450,93.902,6.098,13.19,224,0.875,bilinear,+7.274,+3.316,+1
regnetx_004,79.508,20.492,93.939,6.061,5.16,224,0.875,bicubic,+6.972,+3.097,-4
vgg19,79.501,20.499,93.906,6.093,143.67,224,0.875,bilinear,+7.141,+3.056,-2
legacy_seresnet18,79.160,20.840,93.781,6.219,11.78,224,0.875,bicubic,+7.408,+3.473,+1
tf_mobilenetv3_large_minimal_100,79.123,20.877,93.723,6.277,3.92,224,0.875,bilinear,+6.895,+3.041,-2
vgg16,79.031,20.968,93.635,6.365,138.36,224,0.875,bilinear,+7.403,+3.267,0
vgg13_bn,79.017,20.983,93.616,6.384,133.05,224,0.875,bilinear,+7.399,+3.256,0
gluon_resnet18_v1b,78.479,21.521,93.155,6.845,11.69,224,0.875,bicubic,+7.557,+3.385,0
vgg11_bn,77.998,22.002,93.144,6.856,132.87,224,0.875,bilinear,+7.590,+3.420,0
regnety_002,77.441,22.559,92.933,7.067,3.16,224,0.875,bicubic,+7.115,+3.377,0
vgg13,77.215,22.785,92.709,7.291,133.05,224,0.875,bilinear,+7.231,+3.403,0
resnet18,77.104,22.896,92.664,7.336,11.69,224,0.875,bilinear,+7.460,+3.682,0
vgg11,76.305,23.695,92.181,7.819,132.86,224,0.875,bilinear,+7.433,+3.523,0
regnetx_002,76.196,23.804,92.183,7.816,2.68,224,0.875,bicubic,+7.366,+3.673,0
dla60x_c,75.743,24.256,92.100,7.900,1.32,224,0.875,bilinear,+7.791,+3.662,0
tf_mobilenetv3_small_100,74.668,25.332,91.268,8.732,2.54,224,0.875,bilinear,+6.791,+3.586,0
dla46x_c,73.609,26.392,91.114,8.886,1.07,224,0.875,bilinear,+7.678,+4.110,0
tf_mobilenetv3_small_075,72.838,27.162,90.106,9.894,2.04,224,0.875,bilinear,+7.106,+3.938,0
dla46_c,72.624,27.376,90.552,9.448,1.30,224,0.875,bilinear,+7.694,+4.244,0
tf_mobilenetv3_small_minimal_100,69.934,30.066,88.571,11.429,2.04,224,0.875,bilinear,+7.190,+4.191,0

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 90.572 90.555 9.428 9.445 98.779 98.770 1.221 1.230 480.31 800 0.960 bicubic +6.208 +2.219 +1.739 +0.106 -2 0
3 tf_efficientnet_l2_ns_475 90.525 90.505 9.475 9.495 98.706 98.715 1.294 1.285 480.31 475 0.936 bicubic +6.785 +2.275 +1.936 +0.169 -2 0
4 tf_efficientnet_b7_ns 90.134 90.102 9.866 9.898 98.617 98.608 1.383 1.392 66.35 600 0.949 bicubic +1.784 +3.272 -0.040 +0.516 -2 0
5 tf_efficientnet_b6_ns dm_nfnet_f6 89.767 89.891 10.233 10.110 98.503 98.529 1.497 1.471 43.04 438.36 528 576 0.942 0.956 bicubic +1.527 +3.585 -0.047 +0.787 -2 +1
6 tf_efficientnet_b5_ns tf_efficientnet_b6_ns 89.658 89.792 10.342 10.208 98.488 98.503 1.512 1.497 30.39 43.04 456 528 0.934 0.942 bicubic +2.830 +3.330 +0.404 +0.625 -2 -1
7 tf_efficientnet_b8_ap tf_efficientnet_b5_ns 89.589 89.668 10.411 10.332 98.300 98.488 1.700 1.512 87.41 30.39 672 456 0.954 0.934 bicubic +3.511 +3.596 +0.548 +0.740 -1 0
8 tf_efficientnet_b7_ap tf_efficientnet_b8_ap 89.419 89.585 10.581 10.415 98.343 98.320 1.657 1.680 66.35 87.41 600 672 0.949 0.954 bicubic +4.253 +4.201 +0.981 +1.022 +2 +6
9 tf_efficientnet_b8 vit_deit_base_distilled_patch16_384 89.340 89.431 10.660 10.569 98.305 98.450 1.695 1.550 87.41 87.63 672 384 0.954 1.000 bicubic +3.916 +4.009 +0.727 +1.116 -2 +3
10 tf_efficientnet_b6_ap tf_efficientnet_b7_ap 89.338 89.425 10.662 10.575 98.281 98.343 1.719 1.657 43.04 66.35 528 600 0.942 0.949 bicubic +4.390 +4.301 +0.831 +1.087 +5 +8
11 tf_efficientnet_b4_ns dm_nfnet_f3 89.325 89.387 10.675 10.613 98.352 98.328 1.648 1.672 19.34 254.92 380 416 0.922 0.940 bicubic +3.975 +3.805 +0.962 +0.938 -2 -1
12 ig_resnext101_32x32d dm_nfnet_f4 89.115 89.359 10.885 10.641 98.181 98.232 1.819 1.768 468.53 316.07 224 512 0.875 0.951 bilinear bicubic +3.965 +3.633 +0.711 +0.714 -1 -4
13 ig_resnext101_32x48d tf_efficientnet_b8 89.111 89.352 10.889 10.648 98.125 98.307 1.875 1.693 828.41 87.41 224 672 0.875 0.954 bilinear bicubic +2.663 +3.968 +0.245 +0.907 -8 0
14 tf_efficientnet_b7 tf_efficientnet_b6_ap 89.088 89.342 10.912 10.658 98.179 98.283 1.821 1.717 66.35 43.04 600 528 0.949 0.942 bicubic +4.102 +4.552 +0.883 +1.147 0 +10
15 tf_efficientnet_b5_ap tf_efficientnet_b4_ns 88.934 89.333 11.066 10.667 98.168 98.350 1.832 1.650 30.39 19.34 456 380 0.934 0.922 bicubic +4.664 +4.139 +0.998 +0.850 +6 0
16 ig_resnext101_32x16d dm_nfnet_f5 88.817 89.188 11.184 10.812 98.049 98.241 1.951 1.759 194.03 377.21 224 544 0.875 0.954 bilinear bicubic +4.614 +3.468 +0.831 +0.805 +7 -7
17 vit_base_resnet50_384 ig_resnext101_32x48d 88.804 89.160 11.196 10.840 98.241 98.108 1.759 1.892 98.95 828.41 384 224 1.000 0.875 bicubic bilinear +3.684 +3.658 +0.991 +0.560 -5 -6
18 seresnet152d_320 ig_resnext101_32x32d 88.797 89.143 11.203 10.857 98.172 98.187 1.828 1.813 66.84 468.53 320 224 1.000 0.875 bicubic bilinear +4.393 +3.997 +0.738 +0.731 +19 -1
19 tf_efficientnet_b6 tf_efficientnet_b7 88.759 89.083 11.241 10.917 98.066 98.185 1.934 1.815 43.04 66.35 528 600 0.942 0.949 bicubic +4.595 +4.147 +0.872 +0.977 +6 +2
20 swsl_resnext101_32x8d ecaresnet269d 88.748 89.056 11.252 10.944 98.138 98.241 1.862 1.759 88.79 102.09 224 352 0.875 1.000 bilinear bicubic +4.366 +4.130 +0.772 +1.005 +1 +2
21 resnetv2_152x2_bitm tf_efficientnet_b5_ap 88.656 88.940 11.344 11.060 98.320 98.160 1.680 1.840 236.34 30.39 480 456 1.000 0.934 bilinear bicubic +3.870 +4.680 +1.182 +1.186 -3 +10
22 resnetv2_152x4_bitm dm_nfnet_f2 88.556 88.874 11.444 11.126 98.185 98.100 1.815 1.900 936.53 193.78 480 352 1.000 0.920 bilinear bicubic +3.466 +3.906 +0.745 +0.976 -8 -2
23 resnet200d_320 dm_nfnet_f1 88.528 88.864 11.472 11.136 97.957 98.104 2.043 1.896 64.69 132.63 320 1.000 0.910 bicubic +4.484 +4.270 +1.047 +1.024 +4 +2
24 resnest269e ig_resnext101_32x16d 88.526 88.851 11.474 11.149 98.021 98.064 1.979 1.937 110.93 194.03 416 224 0.928 0.875 bicubic bilinear +3.592 +4.683 +0.817 +0.868 -7 +9
25 resnetv2_101x3_bitm vit_base_resnet50_384 88.443 88.817 11.557 11.184 98.164 98.234 1.836 1.766 387.93 98.95 480 384 1.000 bilinear bicubic +3.917 +3.823 +1.178 +0.940 -6
26 tf_efficientnet_b3_ns swsl_resnext101_32x8d 88.439 88.802 11.561 11.198 98.031 98.125 1.968 1.875 12.23 88.79 300 224 0.904 0.875 bicubic bilinear +4.325 +4.470 +1.144 +0.971 0 +4
27 resnest200e seresnet152d 88.421 88.799 11.579 11.200 98.049 98.170 1.951 1.830 70.20 66.84 320 0.909 1.000 bicubic +4.454 +4.450 +1.231 +1.128 +1 +2
28 vit_large_patch16_384 tf_efficientnet_b6 88.407 88.755 11.593 11.245 98.187 98.076 1.813 1.924 304.72 43.04 384 528 1.000 0.942 bicubic +3.033 +4.633 +0.889 +1.186 -19 +6
29 vit_base_patch16_384 resnetv2_152x2_bitm 88.385 88.678 11.615 11.322 98.149 98.341 1.851 1.659 86.86 236.34 384 480 1.000 bicubic bilinear +4.131 +4.250 +1.175 +0.889 -6 -2
30 seresnet152d resnetv2_152x4_bitm 88.379 88.582 11.621 11.418 98.036 98.192 1.964 1.808 66.84 936.53 256 480 0.940 1.000 bicubic bilinear +4.627 +3.666 +0.916 +0.748 +29 -7
31 tf_efficientnet_b4_ap resnet200d 88.349 88.573 11.651 11.427 97.891 97.976 2.109 2.024 19.34 64.69 380 320 0.922 1.000 bicubic +5.093 +4.573 +1.497 +1.152 +4 +5
32 resnet152d_320 resnest269e 88.347 88.528 11.653 11.472 97.929 98.021 2.071 1.979 60.21 110.93 320 416 1.000 0.928 bicubic +4.681 +4.010 +1.195 +1.019 +1 -6
33 tf_efficientnet_b5 resnetv2_101x3_bitm 88.313 88.479 11.687 11.521 97.914 98.149 2.086 1.851 30.39 387.93 456 480 0.934 1.000 bicubic bilinear +4.461 +4.087 +1.024 +0.791 -3 -5
34 resnetv2_50x3_bitm tf_efficientnet_b3_ns 88.308 88.439 11.692 11.561 98.113 98.066 1.887 1.934 217.32 12.23 480 300 1.000 0.904 bilinear bicubic +4.500 +4.427 +1.367 +1.156 -3 +1
35 ig_resnext101_32x8d resnest200e 88.150 88.428 11.850 11.572 97.861 98.023 2.139 1.977 88.79 70.20 224 320 0.875 0.909 bilinear bicubic +5.454 +4.588 +1.217 +1.165 +9 +2
36 swsl_resnext101_32x4d vit_large_patch16_384 88.086 88.428 11.914 11.572 97.974 98.211 2.026 1.789 44.18 304.72 224 384 0.875 1.000 bilinear bicubic +4.864 +3.258 +1.206 +0.867 +1 -20
37 resnet152d vit_base_patch16_384 87.986 88.383 12.014 11.617 97.709 98.160 2.291 1.840 60.21 86.86 256 384 0.940 1.000 bicubic +4.852 +4.171 +1.359 +0.944 +1 -5
38 tf_efficientnet_b4 resnet152d 87.960 88.358 12.040 11.643 97.737 97.923 2.263 2.077 19.34 60.21 380 320 0.922 1.000 bicubic +4.934 +4.694 +1.439 +1.197 +3 +2
39 resnet101d_320 resnetv2_50x3_bitm 87.948 88.340 12.052 11.660 97.903 98.117 2.097 1.883 44.57 217.32 320 480 1.000 bicubic bilinear +4.924 +4.540 +1.447 +1.007 +3 0
40 resnet200d tf_efficientnet_b4_ap 87.943 88.319 12.057 11.681 97.773 97.908 2.227 2.092 64.69 19.34 256 380 0.940 0.922 bicubic +4.701 +5.095 +1.285 +1.542 -4 +5
41 tresnet_xl_448 tf_efficientnet_b5 87.794 88.306 12.206 11.694 97.468 97.908 2.532 2.092 78.44 30.39 448 456 0.875 0.934 bilinear bicubic +4.738 +4.486 +1.282 +1.148 -1 -3
42 resnetv2_101x1_bitm vit_deit_base_distilled_patch16_224 87.634 88.210 12.366 11.790 97.953 97.916 2.047 2.084 44.54 87.34 480 224 1.000 0.900 bilinear bicubic +5.420 +4.838 +1.480 +1.412 +8 0
43 swsl_resnext101_32x16d ig_resnext101_32x8d 87.602 88.106 12.398 11.894 97.820 97.848 2.180 2.152 194.03 88.79 224 0.875 bilinear +4.258 +5.446 +0.980 +1.164 -9 +10
44 swsl_resnext50_32x4d dm_nfnet_f0 87.597 88.103 12.403 11.897 97.651 97.831 2.349 2.169 25.03 71.49 224 256 0.875 0.900 bilinear bicubic +5.425 +4.733 +1.419 +1.273 +8 -1
45 tf_efficientnet_b2_ns swsl_resnext101_32x4d 87.561 88.054 12.439 11.946 97.626 97.920 2.374 2.080 9.11 44.18 260 224 0.890 0.875 bicubic bilinear +5.169 +4.802 +1.388 +1.152 +1 -1
46 efficientnet_b3a tf_efficientnet_b4 87.452 87.950 12.548 12.050 97.679 97.722 2.321 2.278 12.23 19.34 320 380 1.000 0.922 bicubic +5.198 +4.976 +1.565 +1.430 +3 +4
47 resnet101d 87.386 87.922 12.614 12.078 97.572 97.893 2.428 2.107 44.57 256 320 0.940 1.000 bicubic +5.076 +4.922 +1.508 +1.433 0 +2
48 tresnet_l_448 vit_deit_base_patch16_384 87.373 87.860 12.627 12.140 97.485 97.498 2.515 2.502 55.99 86.86 448 384 0.875 1.000 bilinear bicubic +5.113 +4.768 +1.507 +1.146 0 -2
49 nasnetalarge tresnet_xl_448 87.350 87.796 12.650 12.204 97.412 97.463 2.588 2.537 88.75 78.44 331 448 0.911 0.875 bicubic bilinear +4.724 +4.754 +1.362 +1.281 -4 -1
50 efficientnet_b3 swsl_resnext101_32x16d 87.328 87.683 12.672 12.317 97.605 97.861 2.396 2.139 12.23 194.03 300 224 0.904 0.875 bicubic bilinear +5.246 +4.219 +1.578 +0.995 +3 -9
51 ecaresnet101d resnetv2_101x1_bitm 87.286 87.647 12.714 12.354 97.562 97.950 2.438 2.050 44.57 44.54 224 480 0.875 1.000 bicubic bilinear +5.110 +5.439 +1.506 +1.490 0 +8
52 resnest101e pnasnet5large 87.262 87.615 12.738 12.386 97.558 97.502 2.442 2.498 48.28 86.06 256 331 0.875 0.911 bilinear bicubic +4.384 +4.829 +1.244 +1.426 -9 0
53 regnety_032 ecaresnet50t 87.254 87.578 12.746 12.422 97.521 97.666 2.479 2.334 19.44 25.57 224 320 0.875 0.950 bicubic +5.246 +5.230 +1.609 +1.522 +2 +3
54 tresnet_xl swsl_resnext50_32x4d 87.224 87.563 12.776 12.437 97.400 97.615 2.600 2.385 78.44 25.03 224 0.875 bilinear +5.170 +5.377 +1.468 +1.351 0 +6
55 tf_efficientnet_b3_ap tf_efficientnet_b2_ns 87.196 87.535 12.804 12.464 97.382 97.639 2.618 2.361 12.23 9.11 300 260 0.904 0.890 bicubic +5.374 +5.169 +1.762 +1.379 +2 0
56 vit_base_patch32_384 efficientnet_b3a 87.014 87.431 12.986 12.569 97.656 97.681 2.344 2.319 88.30 12.23 384 320 1.000 bicubic +5.358 +5.199 +1.526 +1.555 +4 +2
57 vit_large_patch16_224 tresnet_l_448 86.993 87.403 13.007 12.597 97.692 97.481 2.308 2.519 304.33 55.99 224 448 0.900 0.875 bicubic bilinear +3.933 +5.113 +1.248 +1.503 -18 0
58 rexnet_200 nasnetalarge 86.854 87.350 13.146 12.650 97.282 97.436 2.718 2.564 16.37 88.75 224 331 0.875 0.911 bicubic +5.228 +4.710 +1.610 +1.384 +4 -4
59 ssl_resnext101_32x16d efficientnet_b3 86.844 87.290 13.156 12.710 97.519 97.590 2.481 2.410 194.03 12.23 224 300 0.875 0.904 bilinear bicubic +5.006 +5.258 +1.427 +1.553 -3 +4
60 tf_efficientnet_b3 tresnet_xl 86.842 87.266 13.158 12.733 97.293 97.412 2.707 2.588 12.23 78.44 300 224 0.904 0.875 bicubic bilinear +5.196 +5.100 +1.571 +1.478 +1
61 tresnet_m_448 resnest101e 86.816 87.264 13.184 12.736 97.205 97.540 2.795 2.460 31.39 48.28 448 256 0.875 bilinear +5.098 +4.440 +1.639 +1.230 -2 -10
62 ssl_resnext101_32x8d regnety_032 86.803 87.249 13.197 12.751 97.466 97.540 2.534 2.460 88.79 19.44 224 0.875 bilinear bicubic +5.197 +5.233 +1.422 +1.608 +1 +2
63 tf_efficientnet_lite4 tf_efficientnet_b3_ap 86.801 87.177 13.199 12.823 97.254 97.410 2.746 2.590 13.01 12.23 380 300 0.920 0.904 bilinear bicubic +5.265 +5.375 +1.594 +1.810 +1 +4
64 swsl_resnet50 ecaresnet101d 86.790 87.175 13.210 12.825 97.493 97.590 2.507 2.410 25.56 44.57 224 0.875 bilinear bicubic +5.654 +5.057 +1.519 +1.549 +7 -2
65 vit_base_patch16_224 vit_base_patch32_384 86.758 87.012 13.242 12.988 97.440 97.660 2.560 2.340 86.57 88.30 224 384 0.900 1.000 bicubic +4.974 +5.348 +1.314 +1.532 -7 +6
66 tresnet_l vit_deit_small_distilled_patch16_224 86.754 87.004 13.246 12.996 97.271 97.325 2.729 2.675 55.99 22.44 224 0.875 0.900 bilinear bicubic +5.268 +5.754 +1.651 +1.929 -1 +16
67 seresnext50_32x4d vit_large_patch16_224 86.709 86.993 13.291 13.007 97.203 97.679 2.797 2.321 27.56 304.33 224 0.875 0.900 bicubic +5.435 +3.933 +1.585 +1.255 +2 -20
68 tf_efficientnet_b1_ns rexnet_200 86.684 86.861 13.316 13.139 97.380 97.244 2.620 2.756 7.79 16.37 240 224 0.882 0.875 bicubic +5.298 +5.173 +1.640 +1.554 -1 +2
69 wide_resnet50_2 tf_efficientnet_lite4 86.649 86.852 13.351 13.148 97.212 97.244 2.788 2.756 68.88 13.01 224 380 0.875 0.920 bicubic bilinear +5.197 +5.336 +1.690 +1.620 -3 +5
70 resnest50d_4s2x40d vit_deit_base_patch16_224 86.585 86.835 13.415 13.165 97.269 97.054 2.731 2.946 30.42 86.57 224 0.875 0.900 bicubic +5.471 +4.841 +1.715 +1.316 +1 -5
71 efficientnet_b3_pruned swsl_resnet50 86.585 86.825 13.415 13.175 97.186 97.528 2.814 2.472 9.86 25.56 300 224 0.904 0.875 bicubic bilinear +5.727 +5.701 +1.946 +1.540 +9 +14
72 ecaresnet50d tf_efficientnet_b3 86.477 86.818 13.524 13.182 97.186 97.305 2.814 2.695 25.58 12.23 224 300 0.875 0.904 bicubic +5.863 +5.192 +1.878 +1.599 +12 0
73 ssl_resnext101_32x4d tresnet_m_448 86.474 86.807 13.526 13.193 97.468 97.199 2.532 2.801 44.18 31.39 224 448 0.875 bilinear +5.560 +5.115 +1.734 +1.639 +3 -4
74 gluon_resnet152_v1s ssl_resnext101_32x8d 86.449 86.803 13.551 13.197 97.120 97.427 2.880 2.573 60.32 88.79 224 0.875 bicubic bilinear +5.431 +5.203 +1.700 +1.405 -1
75 resnest50d_1s4x24d vit_base_patch16_224 86.442 86.790 13.558 13.210 97.150 97.423 2.850 2.577 25.68 86.57 224 0.875 0.900 bicubic +5.438 +5.010 +1.824 +1.311 -1 -7
76 legacy_senet154 ssl_resnext101_32x16d 86.338 86.775 13.662 13.225 96.928 97.538 3.072 2.462 115.09 194.03 224 0.875 bilinear +5.012 +4.929 +1.420 +1.406 -8 -10
77 efficientnet_b2a tresnet_l 86.310 86.763 13.690 13.237 96.990 97.229 3.010 2.771 9.11 55.99 288 224 1.000 0.875 bicubic bilinear +5.696 +5.273 +1.672 +1.645 +8 -1
78 gluon_senet154 seresnext50_32x4d 86.280 86.699 13.720 13.301 96.938 97.246 3.062 2.754 115.09 27.56 224 0.875 bicubic +5.052 +5.429 +1.586 +1.590 -8 +3
79 resnest50d tf_efficientnet_b1_ns 86.229 86.666 13.771 13.334 97.069 97.361 2.931 2.639 27.48 7.79 224 240 0.875 0.882 bilinear bicubic +5.271 +5.269 +1.691 +1.631 -4 -2
80 tresnet_m repvgg_b3 86.190 86.628 13.810 13.372 96.667 97.135 3.333 2.865 31.39 123.09 224 0.875 bilinear +5.386 +6.188 +1.809 +1.941 +1 +25
81 ecaresnet101d_pruned resnest50d_4s2x40d 86.182 86.615 13.818 13.385 97.342 97.288 2.658 2.712 24.88 30.42 224 0.875 bicubic +5.366 +5.467 +1.704 +1.736 -1 +3
82 rexnet_150 gernet_l 86.163 86.611 13.837 13.389 97.066 97.162 2.934 2.837 9.73 31.08 224 256 0.875 bicubic bilinear +5.853 +5.267 +1.904 +1.622 +13 -4
83 resnetv2_50x1_bitm nf_resnet50 86.154 86.594 13.846 13.406 97.558 97.291 2.442 2.709 25.55 25.56 480 288 1.000 0.940 bilinear bicubic +5.962 +5.928 +1.928 +1.933 +20 +14
84 tf_efficientnet_el efficientnet_b3_pruned 86.152 86.592 13.848 13.408 96.985 97.177 3.015 2.823 10.59 9.86 300 0.904 bicubic +5.704 +5.772 +1.815 +1.953 +6 +9
85 cspdarknet53 ssl_resnext101_32x4d 86.150 86.562 13.850 13.438 97.013 97.447 2.987 2.554 27.64 44.18 256 224 0.887 0.875 bilinear +6.102 +5.538 +1.921 +1.698 +22 +1
86 ssl_resnext50_32x4d wide_resnet50_2 86.082 86.521 13.918 13.479 97.212 97.216 2.788 2.784 25.03 68.88 224 0.875 bilinear bicubic +5.780 +5.215 +1.800 +1.628 +10 -6
87 ecaresnetlight resnest50d_1s4x24d 86.043 86.491 13.957 13.509 97.073 97.109 2.927 2.891 30.16 25.68 224 0.875 bicubic +5.585 +5.553 +1.823 +1.791 +2
88 efficientnet_b2 gluon_resnet152_v1s 86.041 86.464 13.959 13.536 96.923 97.120 3.077 2.880 9.11 60.32 260 224 0.875 bicubic +5.663 +5.444 +1.845 +1.694 +4 -1
89 gluon_resnet101_v1s ecaresnet50d 86.037 86.438 13.963 13.562 97.024 97.214 2.976 2.786 44.67 25.58 224 0.875 bicubic +5.751 +5.824 +1.864 +1.900 +9 +10
90 gluon_seresnext101_32x4d repvgg_b3g4 86.009 86.412 13.991 13.588 96.979 97.062 3.021 2.938 48.96 83.83 224 0.875 bicubic bilinear +5.137 +6.174 +1.687 +1.994 -12 +29
91 resnet50d gernet_m 86.002 86.355 13.998 13.645 96.981 97.141 3.019 2.859 25.58 21.14 224 0.875 bicubic bilinear +5.454 +5.625 +1.823 +1.929 -5 +4
92 tf_efficientnet_b2_ap legacy_senet154 85.975 86.336 14.025 13.664 96.808 96.970 3.192 3.030 9.11 115.09 260 224 0.890 0.875 bicubic bilinear +5.673 +5.014 +1.776 +1.516 +5 -13
93 gluon_seresnext101_64x4d efficientnet_b2a 85.949 86.291 14.051 13.709 96.990 96.975 3.010 3.025 88.23 9.11 224 288 0.875 1.000 bicubic +5.065 +5.683 +1.676 +1.677 -16 +7
94 gluon_resnet152_v1d ecaresnet101d_pruned 85.906 86.287 14.094 13.713 96.806 97.248 3.194 2.752 60.21 24.88 224 0.875 bicubic +5.428 +5.401 +1.606 +1.676 -7 -4
95 tf_efficientnet_b2 gluon_senet154 85.885 86.278 14.115 13.722 96.855 96.960 3.145 3.040 9.11 115.09 260 224 0.890 0.875 bicubic +5.813 +5.062 +1.951 +1.640 +11 -12
96 seresnet50 resnest50d 85.836 86.276 14.164 13.724 96.998 97.056 3.002 2.944 28.09 27.48 224 0.875 bicubic bilinear +5.578 +5.306 +1.932 +1.706 +4 -8
97 gluon_resnet101_v1d cspdarknet53 85.832 86.180 14.168 13.820 96.663 96.990 3.337 3.010 44.57 27.64 224 256 0.875 0.887 bicubic bilinear +5.430 +6.130 +1.643 +1.914 -6 +28
98 resnet50 resnetv2_50x1_bitm 85.810 86.160 14.190 13.839 96.714 97.551 3.286 2.449 25.56 25.55 224 480 0.875 1.000 bicubic bilinear +6.774 +6.008 +2.322 +1.907 +53 +26
99 mixnet_xl inception_v4 85.795 86.150 14.205 13.850 96.718 96.941 3.282 3.059 11.90 42.68 224 299 0.875 bicubic +5.321 +5.996 +1.784 +1.978 -11 +23
100 tf_efficientnet_lite3 rexnet_150 85.766 86.133 14.235 13.867 96.891 97.049 3.109 2.951 8.20 9.73 300 224 0.904 0.875 bilinear bicubic +5.939 +5.783 +1.983 +1.847 +17 +10
101 cspresnext50 inception_resnet_v2 85.757 86.129 14.243 13.871 96.840 97.030 3.160 2.970 20.57 55.84 224 299 0.875 0.897 bilinear bicubic +5.711 +5.681 +1.896 +1.738 +7 +3
102 ese_vovnet39b tresnet_m 85.748 86.126 14.252 13.874 96.900 96.639 3.100 3.361 24.57 31.39 224 0.875 bicubic bilinear +6.436 +5.406 +2.178 +1.783 +33 -6
103 gluon_resnext101_32x4d ssl_resnext50_32x4d 85.746 86.103 14.254 13.897 96.616 97.190 3.384 2.810 44.18 25.03 224 0.875 bicubic bilinear +5.412 +5.771 +1.708 +1.808 -9 +8
104 legacy_seresnext101_32x4d tf_efficientnet_el 85.738 86.092 14.262 13.908 96.765 96.977 3.235 3.023 48.96 10.59 224 300 0.875 0.904 bilinear bicubic +5.510 +5.800 +1.745 +1.857 -2 +12
105 regnety_320 gluon_resnet101_v1s 85.727 86.067 14.273 13.933 96.725 97.101 3.275 2.899 145.05 44.67 224 0.875 bicubic +4.929 +5.771 +1.479 +1.925 -23 +9
106 cspresnet50 gluon_seresnext101_32x4d 85.723 86.056 14.277 13.944 96.795 96.966 3.205 3.034 21.62 48.96 256 224 0.887 0.875 bilinear bicubic +6.149 +5.178 +2.087 +1.692 +20 -15
107 gluon_resnext101_64x4d ecaresnetlight 85.701 86.049 14.299 13.950 96.641 97.086 3.358 2.914 83.46 30.16 224 0.875 bicubic +5.072 +5.590 +1.644 +1.884 -24 -4
108 xception71 ecaresnet26t 85.695 86.030 14.305 13.970 96.774 97.039 3.226 2.961 42.34 16.01 299 320 0.903 0.950 bicubic +5.811 +6.146 +1.842 +1.967 +5 +23
109 efficientnet_em efficientnet_b2 85.693 86.024 14.307 13.976 96.941 96.872 3.059 3.128 6.90 9.11 240 260 0.882 0.875 bicubic +6.429 +5.710 +2.150 +1.760 +31 +3
110 dpn107 gluon_seresnext101_64x4d 85.640 85.983 14.360 14.017 96.729 96.981 3.271 3.019 86.92 88.23 224 0.875 bicubic +5.484 +5.131 +1.819 +1.645 -6 -18
111 efficientnet_b2_pruned resnet50d 85.637 85.962 14.363 14.038 96.746 96.970 3.254 3.030 8.31 25.58 260 224 0.890 0.875 bicubic +5.731 +5.470 +1.890 +1.842 +1 -10
112 ecaresnet50d_pruned tf_efficientnet_b2_ap 85.578 85.936 14.422 14.064 96.934 96.778 3.066 3.222 19.94 9.11 224 260 0.875 0.890 bicubic +5.866 +5.696 +2.058 +1.794 +8 +6
113 gluon_resnet152_v1c seresnet50 85.578 85.902 14.422 14.098 96.650 96.985 3.350 3.015 60.21 28.09 224 0.875 bicubic +5.664 +5.610 +1.802 +1.937 -2 +2
114 resnext50d_32x4d gluon_resnet152_v1d 85.565 85.898 14.435 14.102 96.746 96.849 3.254 3.151 25.05 60.21 224 0.875 bicubic +5.897 +5.418 +1.880 +1.587 +9 -12
115 regnety_120 vit_large_patch32_384 85.535 85.896 14.465 14.104 96.774 97.391 3.226 2.609 51.82 306.63 224 384 0.875 1.000 bicubic +5.157 +4.390 +1.652 +1.283 -22 -40
116 regnetx_320 tf_efficientnet_b2 85.524 85.872 14.476 14.128 96.667 96.891 3.333 3.109 107.81 9.11 224 260 0.875 0.890 bicubic +5.270 +5.848 +1.637 +1.947 -15 +11
117 regnety_160 repvgg_b2g4 85.494 85.859 14.506 14.140 96.618 96.817 3.382 3.183 83.59 61.76 224 0.875 bicubic bilinear +5.218 +6.456 +1.650 +2.111 -18 +37
118 dpn92 mixnet_xl 85.482 85.806 14.518 14.194 96.635 96.674 3.365 3.326 37.67 11.90 224 0.875 bicubic +5.492 +5.382 +1.791 +1.786 -9 -11
119 gluon_resnet152_v1b ens_adv_inception_resnet_v2 85.467 85.787 14.533 14.213 96.556 96.770 3.444 3.230 60.19 55.84 224 299 0.875 0.897 bicubic +5.775 +5.857 +1.822 +1.820 +3 +11
120 rexnet_130 resnet50 85.467 85.783 14.533 14.217 96.684 96.740 3.316 3.260 7.56 25.56 224 0.875 bicubic +5.973 +6.779 +2.010 +2.348 +9 +55
121 dpn131 tf_efficientnet_lite3 85.403 85.763 14.597 14.237 96.646 96.864 3.354 3.136 79.25 8.20 224 300 0.875 0.904 bicubic bilinear +5.577 +6.005 +1.934 +2.000 -5 +18
122 dla102x2 cspresnext50 85.377 85.738 14.623 14.262 96.637 96.827 3.363 3.173 41.28 20.57 224 0.875 bilinear +5.935 +5.732 +1.991 +1.895 +9 +6
123 regnetx_160 gluon_resnext101_64x4d 85.373 85.721 14.627 14.279 96.633 96.674 3.367 3.326 54.28 83.46 224 0.875 bicubic +5.535 +5.085 +1.809 +1.684 -8 -25
124 gluon_seresnext50_32x4d legacy_seresnext101_32x4d 85.341 85.721 14.659 14.279 96.671 96.736 3.329 3.264 27.56 48.96 224 0.875 bicubic bilinear +5.417 +5.439 +1.849 +1.712 -14 -7
125 gluon_resnet101_v1c regnety_320 85.317 85.721 14.683 14.279 96.413 96.757 3.587 3.243 44.57 145.05 224 0.875 bicubic +5.785 +4.939 +1.825 +1.495 +3 -31
126 xception65 cspresnet50 85.315 85.716 14.685 14.284 96.633 96.793 3.367 3.207 39.92 21.62 299 256 0.903 0.887 bicubic bilinear +5.765 +6.134 +1.975 +2.081 +1 +22
127 dpn98 efficientnet_em 85.311 85.701 14.689 14.299 96.466 96.951 3.534 3.049 61.57 6.90 224 240 0.875 0.882 bicubic +5.661 +6.471 +1.860 +2.159 -3 +36
128 skresnext50_32x4d vit_deit_small_patch16_224 85.311 85.699 14.689 14.301 96.392 96.925 3.608 3.075 27.48 22.05 224 0.875 0.900 bicubic +5.165 +5.831 +1.752 +1.883 -23 +5
129 regnety_064 gluon_resnet101_v1d 85.289 85.686 14.711 14.313 96.633 96.689 3.367 3.312 30.58 44.57 224 0.875 bicubic +5.557 +5.256 +1.869 +1.675 -10 -23
130 dpn68b xception71 85.285 85.667 14.715 14.333 96.471 96.791 3.529 3.209 12.61 42.34 224 299 0.875 0.903 bicubic +6.073 +5.821 +2.049 +1.855 +13 +6
131 resnetblur50 gluon_resnext101_32x4d 85.270 85.661 14.730 14.339 96.522 96.629 3.478 3.371 25.56 44.18 224 0.875 bicubic +5.984 +5.443 +1.882 +1.721 +7 -11
132 resnext50_32x4d ese_vovnet39b 85.232 85.650 14.768 14.350 96.528 96.862 3.472 3.139 25.03 24.57 224 0.875 bicubic +5.442 +6.444 +1.922 +2.134 -14 +34
133 regnety_080 dpn107 85.230 85.640 14.770 14.360 96.633 96.710 3.367 3.290 39.18 86.92 224 0.875 bicubic +5.360 +5.460 +1.803 +1.804 -19 -12
134 gluon_inception_v3 ecaresnet50d_pruned 85.185 85.603 14.815 14.397 96.528 96.943 3.472 3.057 23.83 19.94 299 224 0.875 bicubic +6.385 +5.927 +2.148 +2.021 +23 +11
135 resnext101_32x8d resnext50d_32x4d 85.178 85.588 14.822 14.412 96.449 96.744 3.551 3.256 88.79 25.05 224 0.875 bilinear bicubic +5.874 +5.900 +1.923 +1.900 +2 +9
136 hrnet_w48 efficientnet_b2_pruned 85.153 85.576 14.847 14.425 96.490 96.770 3.510 3.230 77.47 8.31 224 260 0.875 0.890 bilinear bicubic +5.837 +5.744 +1.976 +1.964 -2 +2
137 xception regnety_120 85.146 85.571 14.854 14.429 96.477 96.761 3.523 3.239 22.86 51.82 299 224 0.897 0.875 bicubic +6.100 +5.197 +2.081 +1.653 +13 -28
138 regnetx_120 regnetx_320 85.140 85.556 14.860 14.444 96.473 96.676 3.527 3.324 46.11 107.81 224 0.875 bicubic +5.530 +5.242 +1.741 +1.608 -13 -25
139 tf_efficientnet_b1_ap regnety_160 85.127 85.535 14.873 14.465 96.407 96.680 3.593 3.320 7.79 83.59 240 224 0.882 0.875 bicubic +5.851 +5.121 +2.105 +1.700 0 -31
140 gluon_resnet101_v1b gluon_resnet152_v1c 85.125 85.524 14.875 14.476 96.368 96.650 3.632 3.350 44.55 60.21 224 0.875 bicubic +5.821 +5.674 +1.838 +1.760 -4 -5
141 hrnet_w64 rexnet_130 85.123 85.524 14.877 14.476 96.746 96.663 3.254 3.337 128.06 7.56 224 0.875 bilinear bicubic +5.661 +6.008 +2.092 +2.003 -11 +10
142 gluon_xception65 gluon_resnet152_v1b 85.121 85.520 14.879 14.480 96.599 96.554 3.401 3.446 39.92 60.19 299 224 0.903 0.875 bicubic +5.419 +5.886 +1.731 +1.796 -21 +4
143 ssl_resnet50 nf_regnet_b1 85.110 85.488 14.890 14.512 96.864 96.799 3.136 3.200 25.56 10.22 224 288 0.875 0.900 bilinear bicubic +5.874 +6.164 +2.034 +2.027 -2 +13
144 res2net101_26w_4s dpn92 85.089 85.471 14.911 14.529 96.383 96.629 3.617 3.371 45.21 37.67 224 0.875 bilinear bicubic +5.895 +5.437 +1.949 +1.811 +1 -18
145 tf_efficientnet_cc_b1_8e dpn131 85.072 85.441 14.928 14.559 96.426 96.590 3.574 3.410 39.72 79.25 240 224 0.882 0.875 bicubic +5.746 +5.575 +2.054 +1.864 -12 -11
146 res2net50_26w_8s regnetx_160 85.008 85.426 14.992 14.574 96.405 96.665 3.595 3.335 48.40 54.28 224 0.875 bilinear bicubic +5.816 +5.542 +2.037 +1.839 0 -14
147 tf_efficientnet_b0_ns dla102x2 85.001 85.383 14.999 14.617 96.499 96.599 3.502 3.401 5.29 41.28 224 0.875 bicubic bilinear +6.341 +5.955 +2.126 +1.971 +17 +6
148 resnest26d xception65 84.997 85.353 15.003 14.646 96.631 96.629 3.369 3.371 17.07 39.92 224 299 0.875 0.903 bilinear bicubic +6.517 +5.761 +2.331 +1.971 +21 -1
149 gluon_resnext50_32x4d gluon_seresnext50_32x4d 84.993 85.317 15.007 14.683 96.426 96.723 3.574 3.277 25.03 27.56 224 0.875 bicubic +5.639 +5.369 +2.002 +1.887 -17 -20
150 regnety_040 dpn98 84.954 85.315 15.046 14.685 96.601 96.501 3.399 3.499 20.65 61.57 224 0.875 bicubic +5.722 +5.627 +1.957 +1.857 -8 -7
151 tf_efficientnet_em regnety_080 84.926 85.315 15.074 14.685 96.424 96.663 3.576 3.337 6.90 39.18 240 224 0.882 0.875 bicubic +6.214 +5.475 +2.096 +1.815 +8 -14
152 tf_efficientnet_b1 skresnext50_32x4d 84.916 85.311 15.084 14.689 96.362 3.638 7.79 27.48 240 224 0.882 0.875 bicubic +6.072 +5.157 +2.166 +1.660 +4 -29
153 legacy_seresnext50_32x4d regnety_064 84.914 85.291 15.086 14.709 96.441 96.650 3.559 3.350 27.56 30.58 224 0.875 bilinear bicubic +5.830 +5.555 +2.007 +1.892 -6 -12
154 dla169 dpn68b 84.909 85.262 15.091 14.738 96.524 96.449 3.476 3.551 53.39 12.61 224 0.875 bilinear bicubic +6.215 +6.122 +2.194 +2.025 +8 +14
155 hrnet_w44 resnetblur50 84.888 85.247 15.112 14.753 96.434 96.565 3.566 3.435 67.06 25.56 224 0.875 bilinear bicubic +5.998 +5.985 +2.060 +1.943 -1 +5
156 regnetx_080 gluon_resnet101_v1c 84.871 85.230 15.129 14.770 96.430 96.481 3.570 3.519 39.57 44.57 224 0.875 bicubic +5.659 +5.680 +1.876 +1.839 -12 -6
157 gluon_resnet50_v1s gluon_inception_v3 84.856 85.228 15.144 14.773 96.447 96.533 3.553 3.467 25.68 23.83 224 299 0.875 bicubic +6.156 +6.398 +2.201 +2.135 +4 +25
158 mixnet_l resnext101_32x8d 84.824 85.223 15.176 14.777 96.328 96.492 3.672 3.508 7.33 88.79 224 0.875 bicubic bilinear +5.844 +6.013 +2.146 +1.936 -7 +7
159 dla60_res2next resnext50_32x4d 84.824 85.200 15.176 14.800 96.411 96.505 3.589 3.495 17.03 25.03 224 0.875 bilinear bicubic +6.380 +5.478 +2.253 +1.899 +14 -17
160 tv_resnet152 hrnet_w64 84.822 85.191 15.178 14.809 96.225 96.721 3.775 3.280 60.19 128.06 224 0.875 bilinear +6.502 +5.703 +2.173 +2.082 +15 -8
161 dla60_res2net gluon_xception65 84.820 85.170 15.180 14.830 96.477 96.595 3.523 3.405 20.85 39.92 224 299 0.875 0.903 bilinear bicubic +6.360 +5.414 +2.271 +1.743 +9 -21
162 dla102x ssl_resnet50 84.815 85.161 15.185 14.839 96.552 96.868 3.448 3.132 26.31 25.56 224 0.875 bilinear +6.305 +5.921 +2.322 +1.954 +5 -1
163 gluon_resnet50_v1d gluon_resnet101_v1b 84.813 85.155 15.187 14.845 96.394 96.379 3.606 3.621 25.58 44.55 224 0.875 bicubic +5.749 +5.795 +1.924 +1.871 -14 -8
164 xception41 hrnet_w48 84.809 85.153 15.191 14.847 96.411 96.477 3.589 3.523 26.97 77.47 299 224 0.903 0.875 bicubic bilinear +6.273 +5.917 +2.127 +1.955 +2 -2
165 regnetx_064 xception 84.779 85.146 15.221 14.854 96.492 96.496 3.508 3.504 26.21 22.86 224 299 0.875 0.897 bicubic +5.715 +6.118 +2.032 +2.126 -17 +9
166 hrnet_w40 tf_efficientnet_b1_ap 84.749 85.140 15.251 14.860 96.558 96.411 3.442 3.589 57.56 7.79 224 240 0.875 0.882 bilinear bicubic +5.817 +5.850 +2.080 +2.085 -13 -8
167 res2net50_26w_6s regnetx_120 84.724 85.104 15.276 14.896 96.276 96.473 3.724 3.527 37.05 46.11 224 0.875 bilinear bicubic +6.158 +5.530 +2.156 +1.781 -2 -18
168 legacy_seresnet152 res2net101_26w_4s 84.698 85.095 15.302 14.905 96.422 96.326 3.578 3.674 66.82 45.21 224 0.875 bilinear +6.032 +5.975 +2.046 +1.894 -5 +2
169 selecsls60b tf_efficientnet_cc_b1_8e 84.657 85.065 15.343 14.935 96.302 96.417 3.698 3.583 32.77 39.72 224 240 0.875 0.882 bicubic +6.247 +5.777 +2.124 +2.059 +4 -10
170 hrnet_w32 gluon_resnext50_32x4d 84.655 85.050 15.345 14.950 96.409 96.462 3.591 3.538 41.23 25.03 224 0.875 bilinear bicubic +6.209 +5.730 +2.219 +1.962 +1 -13
171 regnetx_040 res2net50_26w_8s 84.602 85.010 15.398 14.990 96.390 96.471 3.610 3.529 22.12 48.40 224 0.875 bicubic bilinear +6.118 +5.880 +2.138 +2.067 -3 -2
172 efficientnet_es hrnet_w44 84.598 84.988 15.402 15.012 96.313 96.479 3.687 3.521 5.44 67.06 224 0.875 bicubic bilinear +6.510 +6.102 +2.381 +2.069 +10 +7
173 hrnet_w30 tf_efficientnet_b0_ns 84.585 84.980 15.415 15.020 96.396 96.535 3.604 3.465 37.71 5.29 224 0.875 bilinear bicubic +6.379 +6.380 +2.172 +2.147 +6 +16
174 tf_mixnet_l dla169 84.559 84.961 15.441 15.039 96.247 96.494 3.753 3.506 7.33 53.39 224 0.875 bicubic bilinear +5.783 +6.229 +2.245 +2.160 -16 +11
175 wide_resnet101_2 regnety_040 84.555 84.952 15.445 15.048 96.349 96.633 3.651 3.367 126.89 20.65 224 0.875 bilinear bicubic +5.701 +5.736 +2.067 +1.971 -20 -11
176 efficientnet_b1 tf_efficientnet_b1 84.536 84.948 15.464 15.052 96.161 96.351 3.839 3.649 7.79 240 0.875 0.882 bicubic +5.830 +6.116 +2.007 +2.145 -16 +5
177 dla60x resnest26d 84.527 84.939 15.473 15.061 96.291 96.588 3.709 3.412 17.35 17.07 224 0.875 bilinear +6.277 +6.499 +2.267 +2.292 -1 +19
178 legacy_seresnet101 legacy_seresnext50_32x4d 84.504 84.937 15.496 15.063 96.338 96.484 3.662 3.517 49.33 27.56 224 0.875 bilinear +6.124 +5.829 +2.076 +2.006 -4 -7
179 efficientnet_b1_pruned gluon_resnet50_v1s 84.401 84.903 15.599 15.097 96.142 96.486 3.858 3.514 6.33 25.68 240 224 0.882 0.875 bicubic +6.153 +6.115 +2.306 +2.246 -2 +5
180 res2net50_26w_4s dla60_res2net 84.378 84.865 15.622 15.136 96.082 96.430 3.918 3.570 25.70 20.85 224 0.875 bilinear +6.386 +6.343 +2.230 +2.178 +5 +11
181 res2net50_14w_8s dla102x 84.307 84.845 15.693 15.155 96.076 96.539 3.924 3.461 25.06 26.31 224 0.875 bilinear +6.169 +6.317 +2.220 +2.333 0 +9
182 selecsls60 mixnet_l 84.284 84.832 15.716 15.168 96.089 96.306 3.911 3.694 30.67 7.33 224 0.875 bicubic +6.294 +5.900 +2.261 +2.122 +4 -6
183 regnetx_032 gluon_resnet50_v1d 84.228 84.824 15.772 15.176 96.253 96.439 3.747 3.561 15.30 25.58 224 0.875 bicubic +6.080 +5.752 +2.165 +1.961 -3 -10
184 res2next50 regnetx_080 84.222 84.822 15.778 15.178 96.001 96.473 3.999 3.527 24.67 39.57 224 0.875 bilinear bicubic +5.986 +5.648 +2.095 +1.917 -6 -17
185 gluon_resnet50_v1c regnetx_064 84.205 84.813 15.795 15.187 96.168 96.526 3.832 3.474 25.58 26.21 224 0.875 bicubic +6.197 +5.735 +2.180 +2.066 -1 -13
186 dla102 xception41 84.196 84.805 15.804 15.195 96.223 96.415 3.777 3.585 33.27 26.97 224 299 0.875 0.903 bilinear bicubic +6.166 +6.309 +2.271 +2.159 -3 +7
187 rexnet_100 repvgg_b2 84.173 84.777 15.827 15.223 96.257 96.411 3.743 3.589 4.80 89.02 224 0.875 bicubic bilinear +6.311 +5.895 +2.379 +2.065 +5 -7
188 tf_inception_v3 tv_resnet152 84.134 84.775 15.866 15.225 95.918 96.174 4.082 3.826 23.83 60.19 299 224 0.875 bicubic bilinear +6.268 +6.525 +2.272 +2.192 +3 +13
189 res2net50_48w_2s dla60_res2next 84.119 84.766 15.881 15.234 95.965 96.426 4.035 3.574 25.29 17.03 224 0.875 bilinear +6.585 +6.444 +2.405 +2.236 +11 +10
190 resnet34d hrnet_w40 84.104 84.764 15.896 15.236 95.975 96.552 4.025 3.448 21.82 57.56 224 0.875 bicubic bilinear +6.990 +5.858 +2.593 +2.118 +21 -12
191 tf_efficientnet_lite2 res2net50_26w_6s 84.096 84.758 15.904 15.242 96.063 96.330 3.937 3.670 6.09 37.05 260 224 0.890 0.875 bicubic bilinear +6.614 +6.154 +2.315 +2.166 +10 -3
192 efficientnet_b0 selecsls60b 84.043 84.698 15.957 15.302 95.960 96.345 4.040 3.655 5.29 32.77 224 0.875 bicubic +6.337 +6.202 +2.438 +2.153 +2 0
193 seresnext26t_32x4d legacy_seresnet152 83.985 84.681 16.015 15.319 95.867 96.377 4.133 3.623 16.82 66.82 224 0.875 bicubic bilinear +5.997 +6.037 +2.134 +1.987 -6 -7
194 tf_efficientnet_cc_b0_8e tf_mixnet_l 83.970 84.649 16.030 15.351 96.067 96.217 3.933 3.783 24.01 7.33 224 0.875 bicubic +6.062 +5.847 +2.415 +2.163 -5 -11
195 regnety_016 regnetx_040 83.955 84.634 16.045 15.366 96.001 96.432 3.999 3.568 11.20 22.12 224 0.875 bicubic +6.087 +6.140 +2.275 +2.162 -5 -1
196 tv_resnext50_32x4d wide_resnet101_2 83.955 84.604 16.045 15.396 95.943 96.373 4.057 3.627 25.03 126.89 224 0.875 bilinear +6.341 +5.694 +2.259 +2.029 0 -19
197 gluon_resnet50_v1b hrnet_w32 83.942 84.596 16.058 15.405 96.016 96.434 3.984 3.566 25.56 41.23 224 0.875 bicubic bilinear +6.364 +6.171 +2.298 +2.232 +2 0
198 densenet161 efficientnet_es 83.902 84.576 16.098 15.424 96.010 96.298 3.990 3.702 28.68 5.44 224 0.875 bicubic +6.542 +6.544 +2.376 +2.398 +6 +11
199 seresnext26tn_32x4d efficientnet_b1 83.887 84.546 16.113 15.454 95.939 96.148 4.061 3.852 16.81 7.79 224 240 0.875 bicubic +5.901 +5.942 +2.195 +2.054 -11 -12
200 adv_inception_v3 dla60x 83.882 84.544 16.118 15.456 95.941 96.244 4.059 3.756 23.83 17.35 299 224 0.875 bicubic bilinear +6.300 +6.318 +2.201 +2.256 -2 +2
201 mobilenetv2_120d hrnet_w30 83.882 84.531 16.118 15.469 95.911 96.432 4.089 3.568 5.83 37.71 224 0.875 bicubic bilinear +6.604 +6.397 +2.401 +2.240 +7 +4
202 tv_resnet101 legacy_seresnet101 83.853 84.521 16.148 15.479 95.888 96.330 4.112 3.670 44.55 49.33 224 0.875 bilinear +6.487 +6.101 +2.332 +2.156 +1 -4
203 inception_v3 repvgg_b1 83.771 84.467 16.229 15.533 95.898 96.296 4.101 3.704 23.83 57.42 299 224 0.875 bicubic bilinear +6.307 +6.025 +2.422 +2.138 -1 -8
204 dla60 tf_efficientnet_em 83.735 84.467 16.265 15.533 95.931 96.185 4.069 3.815 22.04 6.90 224 240 0.875 0.882 bilinear bicubic +6.699 +6.307 +2.607 +2.139 +10 -1
205 vit_small_patch16_224 efficientnet_b1_pruned 83.731 84.420 16.269 15.580 95.753 96.123 4.247 3.877 48.75 6.33 224 240 0.900 0.882 bicubic +5.877 +6.146 +2.329 +2.315 -12 -5
206 seresnext26d_32x4d res2net50_26w_4s 83.727 84.369 16.273 15.631 95.845 96.097 4.155 3.903 16.81 25.70 224 0.875 bicubic bilinear +6.141 +6.403 +2.237 +2.267 -9 +4
207 legacy_seresnet50 res2net50_14w_8s 83.665 84.322 16.335 15.678 95.975 96.080 4.025 3.920 28.09 25.06 224 0.875 bilinear +6.029 +6.204 +2.231 +2.244 -12 -1
208 tf_efficientnet_b0_ap regnetx_032 83.665 84.314 16.335 15.686 95.783 96.249 4.217 3.751 5.29 15.30 224 0.875 bicubic +6.563 +6.166 +2.519 +2.183 +5 -4
209 skresnet34 dla102 83.652 84.271 16.348 15.729 95.924 96.165 4.076 3.835 22.28 33.27 224 0.875 bicubic bilinear +6.722 +6.217 +2.602 +2.247 +8 -1
210 tf_efficientnet_es rexnet_100 83.643 84.192 16.357 15.808 95.941 96.212 4.059 3.788 5.44 4.80 224 0.875 bicubic +6.359 +6.306 +2.337 +2.354 -3 +4
211 tf_efficientnet_cc_b0_4e res2next50 83.641 84.160 16.359 15.840 95.730 96.031 4.270 3.969 13.31 24.67 224 0.875 bicubic bilinear +6.321 +6.080 +2.408 +2.079 -6 -4
212 densenet201 res2net50_48w_2s 83.549 84.154 16.451 15.846 95.807 95.978 4.193 4.022 20.01 25.29 224 0.875 bicubic bilinear +6.259 +6.636 +2.327 +2.396 -6 +13
213 legacy_seresnext26_32x4d gluon_resnet50_v1c 83.522 84.132 16.478 15.868 95.719 96.198 4.281 3.803 16.79 25.58 224 0.875 bicubic +6.416 +6.206 +2.411 +2.192 -1 -2
214 tf_efficientnet_b0 selecsls60 83.517 84.128 16.483 15.872 95.719 96.106 4.281 3.894 5.29 30.67 224 0.875 bicubic +6.669 +6.214 +2.487 +2.284 +4 -1
215 mixnet_m resnet34d 83.513 84.107 16.487 15.893 95.691 95.980 4.309 4.020 5.01 21.82 224 0.875 bicubic +6.239 +7.011 +2.269 +2.556 -6 +22
216 hrnet_w18 tf_inception_v3 83.507 84.077 16.493 15.923 95.903 95.922 4.097 4.078 21.30 23.83 224 299 0.875 bilinear bicubic +6.743 +6.273 +2.461 +2.198 +4 +1
217 densenetblur121d gluon_resnet50_v1b 83.483 84.047 16.517 15.953 95.822 95.995 4.178 4.005 8.00 25.56 224 0.875 bicubic +6.897 +6.383 +2.626 +2.321 +6 +2
218 selecsls42b tf_efficientnet_lite2 83.462 84.045 16.538 15.955 95.747 96.118 4.253 3.881 32.46 6.09 224 260 0.875 0.890 bicubic +6.278 +6.605 +2.359 +2.356 -8 +9
219 tf_efficientnet_lite1 efficientnet_b0 83.361 84.019 16.639 15.981 95.642 95.909 4.358 4.091 5.42 5.29 240 224 0.882 0.875 bicubic +6.695 +6.409 +2.404 +2.345 +3
220 regnetx_016 tv_resnext50_32x4d 83.184 84.019 16.816 15.981 95.743 95.982 4.257 4.018 9.19 25.03 224 0.875 bicubic bilinear +6.238 +6.391 +2.317 +2.302 -4 0
221 dpn68 tf_efficientnet_cc_b0_8e 83.174 83.957 16.826 16.043 95.589 96.025 4.411 3.975 12.61 24.01 224 0.875 bicubic +6.862 +6.031 +2.621 +2.427 +5 -9
222 tf_mixnet_m mobilenetv2_120d 83.174 83.908 16.826 16.092 95.467 95.913 4.533 4.087 5.01 5.83 224 0.875 bicubic +6.218 +6.580 +2.303 +2.436 -7 +8
223 mobilenetv2_140 densenet161 83.171 83.891 16.829 16.109 95.689 95.995 4.311 4.005 6.11 28.68 224 0.875 bicubic +6.659 +6.553 +2.691 +2.307 +1 +6
224 ese_vovnet19b_dw adv_inception_v3 83.109 83.880 16.890 16.120 95.787 95.926 4.213 4.074 6.54 23.83 224 299 0.875 bicubic +6.291 +6.318 +2.510 +2.240 -5 -1
225 resnet26d regnety_016 83.037 83.863 16.963 16.137 95.595 96.033 4.405 3.967 16.01 11.20 224 0.875 bicubic +6.349 +6.059 +2.449 +2.383 -4 -7
226 tv_resnet50 tv_resnet101 82.962 83.861 17.038 16.139 95.472 95.860 4.529 4.140 25.56 44.55 224 0.875 bilinear +6.804 +6.547 +2.594 +2.304 +1 +6
227 densenet121 seresnext26t_32x4d 82.811 83.825 17.189 16.175 95.587 95.922 4.413 4.078 7.98 16.81 224 0.875 bicubic +7.247 +5.995 +2.939 +2.194 +6 -11
228 densenet169 seresnext26d_32x4d 82.661 83.742 17.339 16.259 95.595 95.867 4.405 4.133 14.15 16.81 224 0.875 bicubic +6.763 +6.224 +2.573 +2.261 +1 -2
229 mixnet_s vit_small_patch16_224 82.529 83.735 17.471 16.265 95.352 95.762 4.648 4.238 4.13 48.75 224 0.875 0.900 bicubic +6.535 +5.863 +2.562 +2.370 -1 -14
230 regnety_008 inception_v3 82.478 83.705 17.523 16.295 95.476 95.884 4.524 4.116 6.26 23.83 224 299 0.875 bicubic +6.158 +6.295 +2.408 +2.410 -5 -2
231 efficientnet_lite0 dla60 82.388 83.697 17.612 16.303 95.279 95.967 4.721 4.033 4.65 22.04 224 0.875 bicubic bilinear +6.886 +6.773 +2.765 +2.677 +5 +9
232 resnest14d repvgg_b1g4 82.364 83.697 17.636 16.303 95.324 96.029 4.676 3.971 10.61 39.97 224 0.875 bilinear +6.850 +6.157 +2.806 +2.235 +2 -8
233 mobilenetv3_rw tf_efficientnet_b0_ap 82.270 83.645 17.730 16.355 95.241 95.762 4.759 4.238 5.48 5.29 224 0.875 bicubic +6.650 +6.573 +2.529 +2.500 -1 +5
234 semnasnet_100 skresnet34 82.253 83.639 17.747 16.361 95.234 95.903 4.766 4.097 3.89 22.28 224 0.875 bicubic +6.801 +6.729 +2.624 +2.631 +3 +8
235 mobilenetv3_large_100 densenet201 82.172 83.615 17.828 16.384 95.194 95.835 4.806 4.165 5.48 20.01 224 0.875 bicubic +6.398 +6.296 +2.656 +2.353 -5 -4
236 resnet34 tf_efficientnet_cc_b0_4e 82.125 83.609 17.875 16.391 95.134 95.775 4.866 4.225 21.80 13.31 224 0.875 bilinear bicubic +7.019 +6.313 +2.858 +2.415 +6 -3
237 mobilenetv2_110d hrnet_w18 82.074 83.584 17.926 16.416 95.076 95.926 4.923 4.074 4.52 21.30 224 0.875 bicubic bilinear +7.026 +6.752 +2.886 +2.522 +7
238 tf_mixnet_s legacy_seresnet50 82.040 83.579 17.960 16.421 95.128 96.093 4.872 3.907 4.13 28.09 224 0.875 bicubic bilinear +6.358 +5.967 +2.490 +2.297 -7 -17
239 hrnet_w18_small_v2 legacy_seresnext26_32x4d 81.959 83.509 18.041 16.491 95.166 95.745 4.834 4.255 15.60 16.79 224 0.875 bilinear bicubic +6.851 +6.393 +2.754 +2.387 +2 -4
240 tf_efficientnet_lite0 tf_efficientnet_b0 81.950 83.500 18.050 16.500 95.164 95.709 4.836 4.292 4.65 5.29 224 0.875 bicubic +7.118 +6.670 +2.990 +2.436 +5
241 resnet26 gernet_s 81.933 83.492 18.067 16.508 95.237 95.787 4.763 4.213 16.00 8.17 224 0.875 bicubic bilinear +6.643 +6.618 +2.671 +2.659 -3 +2
242 tf_mobilenetv3_large_100 selecsls42b 81.841 83.492 18.159 16.508 95.076 95.779 4.923 4.221 5.48 32.46 224 0.875 bilinear bicubic +6.331 +6.396 +2.466 +2.387 -7 -6
243 tv_densenet121 mixnet_m 81.724 83.485 18.276 16.515 95.034 95.696 4.966 4.304 7.98 5.01 224 0.875 bicubic +6.982 +6.309 +2.880 +2.270 +4 -9
244 regnety_006 densenetblur121d 81.705 83.394 18.295 16.607 95.109 95.798 4.891 4.202 6.06 8.00 224 0.875 bicubic +6.437 +6.919 +2.579 +2.702 -5 +8
245 dla34 tf_efficientnet_lite1 81.658 83.347 18.342 16.654 94.872 95.664 5.128 4.336 15.74 5.42 224 240 0.875 0.882 bilinear bicubic +7.034 +6.719 +2.810 +2.416 +4 +2
246 fbnetc_100 ese_vovnet19b_dw 81.553 83.246 18.447 16.754 94.953 95.790 5.047 4.210 5.57 6.54 224 0.875 bilinear bicubic +6.437 +6.474 +2.579 +2.514 -6 0
247 legacy_seresnet34 regnetx_016 81.527 83.206 18.473 16.794 94.899 95.745 5.101 4.255 21.96 9.19 224 0.875 bilinear bicubic +6.737 +6.292 +2.773 +2.373 -1 -6
248 regnetx_008 mobilenetv2_140 81.510 83.191 18.490 16.809 95.057 95.638 4.943 4.362 7.26 6.11 224 0.875 bicubic +6.458 +6.653 +2.715 +2.694 -5 +2
249 gluon_resnet34_v1b dpn68 81.487 83.189 18.513 16.811 94.812 95.632 5.188 4.368 21.80 12.61 224 0.875 bicubic +6.899 +6.811 +2.816 +2.654 +1 +4
250 mnasnet_100 tf_mixnet_m 81.478 83.189 18.522 16.811 94.895 95.491 5.105 4.509 4.38 5.01 224 0.875 bicubic +6.808 +6.225 +2.793 +2.279 -2 -11
251 spnasnet_100 tf_efficientnet_es 80.872 83.178 19.128 16.822 94.511 95.595 5.489 4.405 4.42 5.44 224 0.875 bilinear bicubic +6.792 +6.616 +2.691 +2.411 0 -2
252 regnety_004 repvgg_a2 80.654 83.097 19.346 16.903 94.697 95.583 5.303 4.417 4.34 28.21 224 0.875 bicubic bilinear +6.636 +6.609 +2.933 +2.561 0 -1
253 skresnet18 resnet26d 80.629 82.977 19.371 17.023 94.385 95.647 5.615 4.353 11.96 16.01 224 0.875 bicubic +7.603 +6.377 +3.213 +2.459 +4 -5
254 regnetx_006 tv_resnet50 80.612 82.945 19.389 17.055 94.524 95.523 5.476 4.477 6.20 25.56 224 0.875 bicubic bilinear +6.768 +6.933 +2.846 +2.589 -1 +2
255 swsl_resnet18 densenet121 80.571 82.866 19.429 17.134 94.750 95.521 5.250 4.479 11.69 7.98 224 0.875 bilinear bicubic +7.291 +7.336 +2.992 +2.905 +1 +7
256 resnet18d densenet169 80.387 82.719 19.613 17.281 94.252 95.568 5.748 4.432 11.71 14.15 224 0.875 bicubic +8.113 +6.769 +3.564 +2.574 +6 +1
257 tv_resnet34 mixnet_s 80.374 82.561 19.625 17.439 94.432 95.365 5.568 4.635 21.80 4.13 224 0.875 bilinear bicubic +7.070 +6.499 +3.008 +2.539 -2
258 mobilenetv2_100 regnety_008 80.268 82.548 19.732 17.452 94.197 95.501 5.803 4.499 3.50 6.26 224 0.875 bicubic +7.318 +6.224 +3.195 +2.401 0 -4
259 ssl_resnet18 efficientnet_lite0 80.112 82.367 19.888 17.634 94.594 95.294 5.406 4.706 11.69 4.65 224 0.875 bilinear bicubic +7.496 +6.922 +3.178 +2.750 0 +5
260 tf_mobilenetv3_large_075 resnest14d 80.088 82.345 19.912 17.655 94.188 95.309 5.812 4.691 3.99 10.61 224 0.875 bilinear +6.640 +6.757 +2.846 +2.821 -6 0
261 hrnet_w18_small mobilenetv3_rw 79.537 82.296 20.462 17.704 93.909 95.222 6.091 4.778 13.19 5.48 224 0.875 bilinear bicubic +7.201 +6.754 +3.225 +2.546 0
262 regnetx_004 semnasnet_100 79.439 82.234 20.561 17.766 93.843 95.243 6.157 4.757 5.16 3.89 224 0.875 bicubic +7.045 +6.808 +3.025 +2.695 -2 +3
263 tf_mobilenetv3_large_minimal_100 mobilenetv3_large_100 79.226 82.151 20.774 17.849 93.712 95.160 6.288 4.840 3.92 5.48 224 0.875 bilinear bicubic +6.982 +6.441 +3.076 +2.664 0 -5
264 legacy_seresnet18 resnet34 79.145 82.119 20.855 17.881 93.778 95.115 6.222 4.885 11.78 21.80 224 0.875 bicubic bilinear +7.409 +7.023 +3.436 +2.869 0 +6
265 gluon_resnet18_v1b mobilenetv2_110d 78.378 82.080 21.622 17.920 93.134 95.068 6.866 4.932 11.69 4.52 224 0.875 bicubic +7.540 +7.032 +3.376 +2.936 0 +7
266 regnety_002 resnet26 77.409 82.055 22.591 17.945 92.916 95.277 7.084 4.723 3.16 16.00 224 0.875 bicubic +7.131 +6.661 +3.370 +2.693 0
267 resnet18 tf_mixnet_s 77.274 82.023 22.726 17.977 92.760 95.145 7.240 4.855 11.69 4.13 224 0.875 bilinear bicubic +7.532 +6.365 +3.674 +2.527 0 -8
268 regnetx_002 repvgg_b0 76.106 82.012 23.893 17.988 92.207 95.128 7.793 4.872 2.68 15.82 224 0.875 bicubic bilinear +7.353 +6.798 +3.647 +2.674 0 -1
269 dla60x_c vit_deit_tiny_distilled_patch16_224 75.658 81.993 24.342 18.007 92.166 95.141 7.834 4.859 1.32 5.91 224 0.875 0.900 bilinear bicubic +7.746 +7.499 +3.748 +3.257 +1 +11
270 tf_mobilenetv3_small_100 hrnet_w18_small_v2 74.734 81.989 25.266 18.011 91.274 95.158 8.726 4.842 2.54 15.60 224 0.875 bilinear +6.812 +6.825 +3.598 +2.728 -1
271 dla46x_c tf_efficientnet_lite0 73.647 81.884 26.353 18.116 91.112 95.126 8.888 4.874 1.07 4.65 224 0.875 bilinear bicubic +7.671 +7.016 +4.124 +2.996 0 +4
272 tf_mobilenetv3_small_075 tf_mobilenetv3_large_100 72.821 81.848 27.179 18.152 90.031 95.057 9.969 4.943 2.04 5.48 224 0.875 bilinear +7.097 +6.328 +3.897 +2.507 0 -9
273 dla46_c tv_densenet121 72.601 81.758 27.399 18.242 90.495 94.993 9.505 5.007 1.30 7.98 224 0.875 bilinear bicubic +7.731 +7.012 +4.201 +2.863 0 +3
274 tf_mobilenetv3_small_minimal_100 dla34 70.109 81.668 29.891 18.332 88.516 94.908 11.485 5.092 2.04 15.74 224 0.875 bilinear +7.199 +7.032 +4.272 +2.786 0 +4
275 inception_v4 regnety_006 1.507 81.641 98.493 18.359 19.038 95.119 80.962 4.881 42.68 6.06 299 224 0.875 bicubic +0.499 +6.435 +2.184 +2.559 0 -7
276 pnasnet5large legacy_seresnet34 1.478 81.626 98.522 18.374 20.749 94.938 79.251 5.062 86.06 21.96 331 224 0.911 0.875 bicubic bilinear +0.493 +6.714 +2.173 +2.774 +1 -2
277 ens_adv_inception_resnet_v2 fbnetc_100 1.428 81.544 98.572 18.456 19.416 94.953 80.584 5.047 55.85 5.57 299 224 0.897 0.875 bicubic bilinear +0.430 +6.463 +2.092 +2.599 -1 -6
278 inception_resnet_v2 mnasnet_100 1.415 81.453 98.585 18.547 19.444 94.946 80.556 5.054 55.85 4.38 299 224 0.897 0.875 bicubic +0.466 +6.761 +2.150 +2.806 0 -1
279 gluon_resnet34_v1b 81.433 18.567 94.799 5.201 21.80 224 0.875 bicubic +6.938 +2.791 0
280 vgg19_bn 81.429 18.571 94.782 5.218 143.68 224 0.875 bilinear +7.213 +2.934 +1
281 regnetx_008 81.425 18.575 95.032 4.968 7.26 224 0.875 bicubic +6.399 +2.700 -8
282 spnasnet_100 80.893 19.107 94.570 5.429 4.42 224 0.875 bilinear +6.773 +2.688 0
283 vgg16_bn 80.722 19.277 94.607 5.393 138.37 224 0.875 bilinear +7.246 +3.071 +2
284 regnetx_006 80.659 19.341 94.579 5.421 6.20 224 0.875 bicubic +6.697 +2.895 -1
285 swsl_resnet18 80.586 19.414 94.831 5.169 11.69 224 0.875 bilinear +7.268 +3.079 +2
286 regnety_004 80.573 19.427 94.697 5.303 4.34 224 0.875 bicubic +6.631 +2.942 -2
287 skresnet18 80.573 19.427 94.342 5.658 11.96 224 0.875 bicubic +7.573 +3.186 +2
288 resnet18d 80.426 19.574 94.306 5.694 11.71 224 0.875 bicubic +8.046 +3.596 +5
289 tv_resnet34 80.345 19.655 94.445 5.555 21.80 224 0.875 bilinear +7.079 +3.015 -1
290 mobilenetv2_100 80.266 19.734 94.246 5.754 3.50 224 0.875 bicubic +7.310 +3.204 0
291 vit_deit_tiny_patch16_224 80.065 19.935 94.445 5.555 5.72 224 0.900 bicubic +7.869 +3.353 +6
292 tf_mobilenetv3_large_075 80.044 19.956 94.227 5.773 3.99 224 0.875 bilinear +6.672 +2.823 -6
293 ssl_resnet18 80.037 19.963 94.588 5.412 11.69 224 0.875 bilinear +7.545 +3.146 -1
294 hrnet_w18_small 79.550 20.450 93.902 6.098 13.19 224 0.875 bilinear +7.274 +3.316 +1
295 regnetx_004 79.508 20.492 93.939 6.061 5.16 224 0.875 bicubic +6.972 +3.097 -4
296 vgg19 79.501 20.499 93.906 6.093 143.67 224 0.875 bilinear +7.141 +3.056 -2
297 legacy_seresnet18 79.160 20.840 93.781 6.219 11.78 224 0.875 bicubic +7.408 +3.473 +1
298 tf_mobilenetv3_large_minimal_100 79.123 20.877 93.723 6.277 3.92 224 0.875 bilinear +6.895 +3.041 -2
299 vgg16 79.031 20.968 93.635 6.365 138.36 224 0.875 bilinear +7.403 +3.267 0
300 vgg13_bn 79.017 20.983 93.616 6.384 133.05 224 0.875 bilinear +7.399 +3.256 0
301 gluon_resnet18_v1b 78.479 21.521 93.155 6.845 11.69 224 0.875 bicubic +7.557 +3.385 0
302 vgg11_bn 77.998 22.002 93.144 6.856 132.87 224 0.875 bilinear +7.590 +3.420 0
303 regnety_002 77.441 22.559 92.933 7.067 3.16 224 0.875 bicubic +7.115 +3.377 0
304 vgg13 77.215 22.785 92.709 7.291 133.05 224 0.875 bilinear +7.231 +3.403 0
305 resnet18 77.104 22.896 92.664 7.336 11.69 224 0.875 bilinear +7.460 +3.682 0
306 vgg11 76.305 23.695 92.181 7.819 132.86 224 0.875 bilinear +7.433 +3.523 0
307 regnetx_002 76.196 23.804 92.183 7.816 2.68 224 0.875 bicubic +7.366 +3.673 0
308 dla60x_c 75.743 24.256 92.100 7.900 1.32 224 0.875 bilinear +7.791 +3.662 0
309 tf_mobilenetv3_small_100 74.668 25.332 91.268 8.732 2.54 224 0.875 bilinear +6.791 +3.586 0
310 dla46x_c 73.609 26.392 91.114 8.886 1.07 224 0.875 bilinear +7.678 +4.110 0
311 tf_mobilenetv3_small_075 72.838 27.162 90.106 9.894 2.04 224 0.875 bilinear +7.106 +3.938 0
312 dla46_c 72.624 27.376 90.552 9.448 1.30 224 0.875 bilinear +7.694 +4.244 0
313 tf_mobilenetv3_small_minimal_100 69.934 30.066 88.571 11.429 2.04 224 0.875 bilinear +7.190 +4.191 0

589
results/results-imagenet.csv
Unescape View File

@ -1,278 +1,313 @@
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,88.350,11.650,98.656,1.344,480.31,800,0.960,bicubic tf_efficientnet_l2_ns,88.336,11.664,98.664,1.336,480.31,800,0.960,bicubic
tf_efficientnet_l2_ns_475,88.240,11.760,98.550,1.450,480.31,475,0.936,bicubic tf_efficientnet_l2_ns_475,88.230,11.770,98.546,1.454,480.31,475,0.936,bicubic
tf_efficientnet_b7_ns,86.828,13.172,98.084,1.916,66.35,600,0.949,bicubic tf_efficientnet_b7_ns,86.830,13.170,98.092,1.908,66.35,600,0.949,bicubic
tf_efficientnet_b6_ns,86.448,13.552,97.880,2.120,43.04,528,0.942,bicubic tf_efficientnet_b6_ns,86.462,13.538,97.878,2.122,43.04,528,0.942,bicubic
tf_efficientnet_b5_ns,86.078,13.922,97.752,2.248,30.39,456,0.934,bicubic dm_nfnet_f6,86.306,13.694,97.742,2.258,438.36,576,0.956,bicubic
ig_resnext101_32x48d,85.424,14.576,97.578,2.422,828.41,224,0.875,bilinear tf_efficientnet_b5_ns,86.072,13.928,97.748,2.252,30.39,456,0.934,bicubic
tf_efficientnet_b8_ap,85.374,14.626,97.298,2.702,87.41,672,0.954,bicubic dm_nfnet_f4,85.726,14.274,97.518,2.482,316.07,512,0.951,bicubic
tf_efficientnet_b8,85.350,14.650,97.390,2.610,87.41,672,0.954,bicubic dm_nfnet_f5,85.720,14.280,97.436,2.564,377.21,544,0.954,bicubic
vit_large_patch16_384,85.166,14.834,97.362,2.638,304.72,384,1.000,bicubic dm_nfnet_f3,85.582,14.418,97.390,2.610,254.92,416,0.940,bicubic
tf_efficientnet_b4_ns,85.150,14.850,97.470,2.530,19.34,380,0.922,bicubic ig_resnext101_32x48d,85.502,14.498,97.548,2.452,828.41,224,0.875,bilinear
tf_efficientnet_b7_ap,85.120,14.880,97.250,2.750,66.35,600,0.949,bicubic vit_deit_base_distilled_patch16_384,85.422,14.578,97.334,2.666,87.63,384,1.000,bicubic
ig_resnext101_32x32d,85.090,14.910,97.440,2.560,468.53,224,0.875,bilinear tf_efficientnet_b8,85.384,14.616,97.400,2.600,87.41,672,0.954,bicubic
vit_base_resnet50_384,84.986,15.014,97.296,2.704,98.95,384,1.000,bicubic tf_efficientnet_b8_ap,85.384,14.616,97.298,2.702,87.41,672,0.954,bicubic
resnetv2_152x4_bitm,84.948,15.052,97.450,2.550,936.53,480,1.000,bilinear tf_efficientnet_b4_ns,85.194,14.806,97.500,2.500,19.34,380,0.922,bicubic
tf_efficientnet_b7,84.934,15.066,97.204,2.796,66.35,600,0.949,bicubic vit_large_patch16_384,85.170,14.830,97.344,2.656,304.72,384,1.000,bicubic
tf_efficientnet_b6_ap,84.786,15.214,97.138,2.862,43.04,528,0.942,bicubic ig_resnext101_32x32d,85.146,14.854,97.456,2.544,468.53,224,0.875,bilinear
resnest269e,84.526,15.474,96.986,3.014,110.93,416,0.928,bicubic tf_efficientnet_b7_ap,85.124,14.876,97.256,2.744,66.35,600,0.949,bicubic
resnetv2_152x2_bitm,84.404,15.596,97.434,2.566,236.34,480,1.000,bilinear vit_base_resnet50_384,84.994,15.006,97.294,2.706,98.95,384,1.000,bicubic
resnetv2_101x3_bitm,84.382,15.618,97.366,2.634,387.93,480,1.000,bilinear dm_nfnet_f2,84.968,15.032,97.124,2.876,193.78,352,0.920,bicubic
seresnet152d_320,84.364,15.636,97.040,2.960,66.84,320,1.000,bicubic tf_efficientnet_b7,84.936,15.064,97.208,2.792,66.35,600,0.949,bicubic
swsl_resnext101_32x8d,84.270,15.730,97.170,2.830,88.79,224,0.875,bilinear ecaresnet269d,84.926,15.074,97.236,2.764,102.09,352,1.000,bicubic
tf_efficientnet_b5_ap,84.254,15.746,96.974,3.026,30.39,456,0.934,bicubic resnetv2_152x4_bitm,84.916,15.084,97.444,2.556,936.53,480,1.000,bilinear
vit_base_patch16_384,84.202,15.798,97.218,2.782,86.86,384,1.000,bicubic tf_efficientnet_b6_ap,84.790,15.210,97.136,2.864,43.04,528,0.942,bicubic
ig_resnext101_32x16d,84.164,15.836,97.194,2.806,194.03,224,0.875,bilinear dm_nfnet_f1,84.594,15.406,97.080,2.920,132.63,320,0.910,bicubic
tf_efficientnet_b6,84.114,15.886,96.888,3.112,43.04,528,0.942,bicubic resnest269e,84.518,15.482,97.002,2.998,110.93,416,0.928,bicubic
tf_efficientnet_b3_ns,84.044,15.956,96.910,3.090,12.23,300,0.904,bicubic resnetv2_152x2_bitm,84.428,15.572,97.452,2.548,236.34,480,1.000,bilinear
resnet200d_320,83.968,16.032,96.818,3.182,64.69,320,1.000,bicubic resnetv2_101x3_bitm,84.392,15.608,97.358,2.642,387.93,480,1.000,bilinear
resnest200e,83.852,16.148,96.890,3.110,70.20,320,0.909,bicubic seresnet152d,84.350,15.650,97.042,2.958,66.84,320,1.000,bicubic
tf_efficientnet_b5,83.808,16.192,96.746,3.254,30.39,456,0.934,bicubic swsl_resnext101_32x8d,84.332,15.668,97.154,2.846,88.79,224,0.875,bilinear
resnetv2_50x3_bitm,83.752,16.248,97.120,2.880,217.32,480,1.000,bilinear tf_efficientnet_b5_ap,84.260,15.740,96.974,3.026,30.39,456,0.934,bicubic
seresnet152d,83.740,16.260,96.770,3.230,66.84,256,0.940,bicubic vit_base_patch16_384,84.212,15.788,97.216,2.784,86.86,384,1.000,bicubic
resnet152d_320,83.666,16.334,96.734,3.266,60.21,320,1.000,bicubic ig_resnext101_32x16d,84.168,15.832,97.196,2.804,194.03,224,0.875,bilinear
swsl_resnext101_32x16d,83.344,16.656,96.840,3.160,194.03,224,0.875,bilinear tf_efficientnet_b6,84.122,15.878,96.890,3.110,43.04,528,0.942,bicubic
tf_efficientnet_b4_ap,83.256,16.744,96.394,3.606,19.34,380,0.922,bicubic tf_efficientnet_b3_ns,84.012,15.988,96.910,3.090,12.23,300,0.904,bicubic
resnet200d,83.242,16.758,96.488,3.512,64.69,256,0.940,bicubic resnet200d,84.000,16.000,96.824,3.176,64.69,320,1.000,bicubic
swsl_resnext101_32x4d,83.222,16.778,96.768,3.232,44.18,224,0.875,bilinear resnest200e,83.840,16.160,96.858,3.142,70.20,320,0.909,bicubic
resnet152d,83.134,16.866,96.350,3.650,60.21,256,0.940,bicubic tf_efficientnet_b5,83.820,16.180,96.760,3.240,30.39,456,0.934,bicubic
vit_large_patch16_224,83.060,16.940,96.444,3.556,304.33,224,0.900,bicubic resnetv2_50x3_bitm,83.800,16.200,97.110,2.890,217.32,480,1.000,bilinear
tresnet_xl_448,83.056,16.944,96.186,3.814,78.44,448,0.875,bilinear resnet152d,83.664,16.336,96.726,3.274,60.21,320,1.000,bicubic
tf_efficientnet_b4,83.026,16.974,96.298,3.702,19.34,380,0.922,bicubic swsl_resnext101_32x16d,83.464,16.536,96.866,3.134,194.03,224,0.875,bilinear
resnet101d_320,83.024,16.976,96.456,3.544,44.57,320,1.000,bicubic vit_deit_base_distilled_patch16_224,83.372,16.628,96.504,3.496,87.34,224,0.900,bicubic
resnest101e,82.878,17.122,96.314,3.686,48.28,256,0.875,bilinear dm_nfnet_f0,83.370,16.630,96.558,3.442,71.49,256,0.900,bicubic
ig_resnext101_32x8d,82.696,17.304,96.644,3.356,88.79,224,0.875,bilinear swsl_resnext101_32x4d,83.252,16.748,96.768,3.232,44.18,224,0.875,bilinear
nasnetalarge,82.626,17.374,96.050,3.950,88.75,331,0.911,bicubic tf_efficientnet_b4_ap,83.224,16.776,96.366,3.634,19.34,380,0.922,bicubic
tf_efficientnet_b2_ns,82.392,17.608,96.238,3.762,9.11,260,0.890,bicubic vit_deit_base_patch16_384,83.092,16.908,96.352,3.648,86.86,384,1.000,bicubic
resnet101d,82.310,17.690,96.064,3.936,44.57,256,0.940,bicubic vit_large_patch16_224,83.060,16.940,96.424,3.576,304.33,224,0.900,bicubic
tresnet_l_448,82.260,17.740,95.978,4.022,55.99,448,0.875,bilinear tresnet_xl_448,83.042,16.958,96.182,3.818,78.44,448,0.875,bilinear
efficientnet_b3a,82.254,17.746,96.114,3.886,12.23,320,1.000,bicubic resnet101d,83.000,17.000,96.460,3.540,44.57,320,1.000,bicubic
resnetv2_101x1_bitm,82.214,17.786,96.472,3.528,44.54,480,1.000,bilinear tf_efficientnet_b4,82.974,17.026,96.292,3.708,19.34,380,0.922,bicubic
ecaresnet101d,82.176,17.824,96.056,3.944,44.57,224,0.875,bicubic resnest101e,82.824,17.176,96.310,3.690,48.28,256,0.875,bilinear
swsl_resnext50_32x4d,82.172,17.828,96.232,3.768,25.03,224,0.875,bilinear pnasnet5large,82.786,17.214,96.076,3.924,86.06,331,0.911,bicubic
efficientnet_b3,82.082,17.918,96.026,3.974,12.23,300,0.904,bicubic ig_resnext101_32x8d,82.660,17.340,96.684,3.316,88.79,224,0.875,bilinear
tresnet_xl,82.054,17.946,95.932,4.068,78.44,224,0.875,bilinear nasnetalarge,82.640,17.360,96.052,3.948,88.75,331,0.911,bicubic
regnety_032,82.008,17.992,95.912,4.088,19.44,224,0.875,bicubic tf_efficientnet_b2_ns,82.366,17.634,96.260,3.740,9.11,260,0.890,bicubic
ssl_resnext101_32x16d,81.838,18.162,96.092,3.908,194.03,224,0.875,bilinear ecaresnet50t,82.348,17.652,96.144,3.856,25.57,320,0.950,bicubic
tf_efficientnet_b3_ap,81.822,18.178,95.620,4.380,12.23,300,0.904,bicubic tresnet_l_448,82.290,17.710,95.978,4.022,55.99,448,0.875,bilinear
vit_base_patch16_224,81.784,18.216,96.126,3.874,86.57,224,0.900,bicubic efficientnet_b3a,82.232,17.768,96.126,3.874,12.23,320,1.000,bicubic
tresnet_m_448,81.718,18.282,95.566,4.434,31.39,448,0.875,bilinear resnetv2_101x1_bitm,82.208,17.792,96.460,3.540,44.54,480,1.000,bilinear
vit_base_patch32_384,81.656,18.344,96.130,3.870,88.30,384,1.000,bicubic swsl_resnext50_32x4d,82.186,17.814,96.264,3.736,25.03,224,0.875,bilinear
tf_efficientnet_b3,81.646,18.354,95.722,4.278,12.23,300,0.904,bicubic tresnet_xl,82.166,17.834,95.934,4.066,78.44,224,0.875,bilinear
rexnet_200,81.626,18.374,95.672,4.328,16.37,224,0.875,bicubic ecaresnet101d,82.118,17.882,96.040,3.960,44.57,224,0.875,bicubic
ssl_resnext101_32x8d,81.606,18.394,96.044,3.956,88.79,224,0.875,bilinear efficientnet_b3,82.032,17.968,96.036,3.964,12.23,300,0.904,bicubic
tf_efficientnet_lite4,81.536,18.464,95.660,4.340,13.01,380,0.920,bilinear regnety_032,82.016,17.984,95.932,4.068,19.44,224,0.875,bicubic
tresnet_l,81.486,18.514,95.620,4.380,55.99,224,0.875,bilinear vit_deit_base_patch16_224,81.994,18.006,95.738,4.262,86.57,224,0.900,bicubic
wide_resnet50_2,81.452,18.548,95.522,4.478,68.88,224,0.875,bicubic ssl_resnext101_32x16d,81.846,18.154,96.132,3.868,194.03,224,0.875,bilinear
tf_efficientnet_b1_ns,81.386,18.614,95.740,4.260,7.79,240,0.882,bicubic tf_efficientnet_b3_ap,81.802,18.198,95.600,4.400,12.23,300,0.904,bicubic
legacy_senet154,81.326,18.674,95.508,4.492,115.09,224,0.875,bilinear vit_base_patch16_224,81.780,18.220,96.112,3.888,86.57,224,0.900,bicubic
seresnext50_32x4d,81.274,18.726,95.618,4.382,27.56,224,0.875,bicubic tresnet_m_448,81.692,18.308,95.560,4.440,31.39,448,0.875,bilinear
gluon_senet154,81.228,18.772,95.352,4.648,115.09,224,0.875,bicubic rexnet_200,81.688,18.312,95.690,4.310,16.37,224,0.875,bicubic
swsl_resnet50,81.136,18.864,95.974,4.026,25.56,224,0.875,bilinear vit_base_patch32_384,81.664,18.336,96.128,3.872,88.30,384,1.000,bicubic
resnest50d_4s2x40d,81.114,18.886,95.554,4.446,30.42,224,0.875,bicubic tf_efficientnet_b3,81.626,18.374,95.706,4.294,12.23,300,0.904,bicubic
gluon_resnet152_v1s,81.018,18.982,95.420,4.580,60.32,224,0.875,bicubic ssl_resnext101_32x8d,81.600,18.400,96.022,3.978,88.79,224,0.875,bilinear
resnest50d_1s4x24d,81.004,18.996,95.326,4.674,25.68,224,0.875,bicubic tf_efficientnet_lite4,81.516,18.484,95.624,4.376,13.01,380,0.920,bilinear
resnest50d,80.958,19.042,95.378,4.622,27.48,224,0.875,bilinear vit_large_patch32_384,81.506,18.494,96.108,3.892,306.63,384,1.000,bicubic
ssl_resnext101_32x4d,80.914,19.086,95.734,4.266,44.18,224,0.875,bilinear tresnet_l,81.490,18.510,95.584,4.416,55.99,224,0.875,bilinear
gluon_seresnext101_64x4d,80.884,19.116,95.314,4.686,88.23,224,0.875,bicubic tf_efficientnet_b1_ns,81.398,18.602,95.730,4.270,7.79,240,0.882,bicubic
gluon_seresnext101_32x4d,80.872,19.128,95.292,4.708,48.96,224,0.875,bicubic gernet_l,81.344,18.656,95.540,4.460,31.08,256,0.875,bilinear
efficientnet_b3_pruned,80.858,19.142,95.240,4.760,9.86,300,0.904,bicubic legacy_senet154,81.322,18.678,95.454,4.546,115.09,224,0.875,bilinear
ecaresnet101d_pruned,80.816,19.184,95.638,4.362,24.88,224,0.875,bicubic wide_resnet50_2,81.306,18.694,95.588,4.412,68.88,224,0.875,bicubic
tresnet_m,80.804,19.196,94.858,5.142,31.39,224,0.875,bilinear seresnext50_32x4d,81.270,18.730,95.656,4.344,27.56,224,0.875,bicubic
regnety_320,80.798,19.202,95.246,4.754,145.05,224,0.875,bicubic vit_deit_small_distilled_patch16_224,81.250,18.750,95.396,4.604,22.44,224,0.900,bicubic
gluon_resnext101_64x4d,80.630,19.370,94.998,5.002,83.46,224,0.875,bicubic gluon_senet154,81.216,18.784,95.320,4.680,115.09,224,0.875,bicubic
ecaresnet50d,80.614,19.386,95.308,4.692,25.58,224,0.875,bicubic resnest50d_4s2x40d,81.148,18.852,95.552,4.448,30.42,224,0.875,bicubic
efficientnet_b2a,80.614,19.386,95.318,4.682,9.11,288,1.000,bicubic swsl_resnet50,81.124,18.876,95.988,4.012,25.56,224,0.875,bilinear
resnet50d,80.548,19.452,95.158,4.842,25.58,224,0.875,bicubic ssl_resnext101_32x4d,81.024,18.976,95.748,4.252,44.18,224,0.875,bilinear
gluon_resnet152_v1d,80.478,19.522,95.200,4.800,60.21,224,0.875,bicubic gluon_resnet152_v1s,81.020,18.980,95.426,4.574,60.32,224,0.875,bicubic
mixnet_xl,80.474,19.526,94.934,5.066,11.90,224,0.875,bicubic resnest50d,80.970,19.030,95.350,4.650,27.48,224,0.875,bilinear
ecaresnetlight,80.458,19.542,95.250,4.750,30.16,224,0.875,bicubic resnest50d_1s4x24d,80.938,19.062,95.318,4.682,25.68,224,0.875,bicubic
tf_efficientnet_el,80.448,19.552,95.170,4.830,10.59,300,0.904,bicubic ecaresnet101d_pruned,80.886,19.114,95.572,4.428,24.88,224,0.875,bicubic
gluon_resnet101_v1d,80.402,19.598,95.020,4.980,44.57,224,0.875,bicubic gluon_seresnext101_32x4d,80.878,19.122,95.274,4.726,48.96,224,0.875,bicubic
efficientnet_b2,80.378,19.622,95.078,4.922,9.11,260,0.875,bicubic gluon_seresnext101_64x4d,80.852,19.148,95.336,4.664,88.23,224,0.875,bicubic
regnety_120,80.378,19.622,95.122,4.878,51.82,224,0.875,bicubic efficientnet_b3_pruned,80.820,19.180,95.224,4.776,9.86,300,0.904,bicubic
gluon_resnext101_32x4d,80.334,19.666,94.908,5.092,44.18,224,0.875,bicubic regnety_320,80.782,19.218,95.262,4.738,145.05,224,0.875,bicubic
rexnet_150,80.310,19.690,95.162,4.838,9.73,224,0.875,bicubic gernet_m,80.730,19.270,95.212,4.788,21.14,224,0.875,bilinear
ssl_resnext50_32x4d,80.302,19.698,95.412,4.588,25.03,224,0.875,bilinear tresnet_m,80.720,19.280,94.856,5.144,31.39,224,0.875,bilinear
tf_efficientnet_b2_ap,80.302,19.698,95.032,4.968,9.11,260,0.890,bicubic nf_resnet50,80.666,19.334,95.358,4.642,25.56,288,0.940,bicubic
gluon_resnet101_v1s,80.286,19.714,95.160,4.840,44.67,224,0.875,bicubic gluon_resnext101_64x4d,80.636,19.364,94.990,5.010,83.46,224,0.875,bicubic
regnety_160,80.276,19.724,94.968,5.032,83.59,224,0.875,bicubic ecaresnet50d,80.614,19.386,95.314,4.686,25.58,224,0.875,bicubic
seresnet50,80.258,19.742,95.066,4.934,28.09,224,0.875,bicubic efficientnet_b2a,80.608,19.392,95.298,4.702,9.11,288,1.000,bicubic
regnetx_320,80.254,19.746,95.030,4.970,107.81,224,0.875,bicubic resnet50d,80.492,19.508,95.128,4.872,25.58,224,0.875,bicubic
legacy_seresnext101_32x4d,80.228,19.772,95.020,4.980,48.96,224,0.875,bilinear gluon_resnet152_v1d,80.480,19.520,95.262,4.738,60.21,224,0.875,bicubic
resnetv2_50x1_bitm,80.192,19.808,95.630,4.370,25.55,480,1.000,bilinear ecaresnetlight,80.460,19.540,95.202,4.798,30.16,224,0.875,bicubic
dpn107,80.156,19.844,94.910,5.090,86.92,224,0.875,bicubic inception_resnet_v2,80.448,19.552,95.292,4.708,55.84,299,0.897,bicubic
skresnext50_32x4d,80.146,19.854,94.640,5.360,27.48,224,0.875,bicubic repvgg_b3,80.440,19.560,95.194,4.806,123.09,224,0.875,bilinear
tf_efficientnet_b2,80.072,19.928,94.904,5.096,9.11,260,0.890,bicubic gluon_resnet101_v1d,80.430,19.570,95.014,4.986,44.57,224,0.875,bicubic
cspdarknet53,80.048,19.952,95.092,4.908,27.64,256,0.887,bilinear mixnet_xl,80.424,19.576,94.888,5.112,11.90,224,0.875,bicubic
cspresnext50,80.046,19.954,94.944,5.056,20.57,224,0.875,bilinear regnety_160,80.414,19.586,94.980,5.020,83.59,224,0.875,bicubic
dpn92,79.990,20.010,94.844,5.156,37.67,224,0.875,bicubic regnety_120,80.374,19.626,95.108,4.892,51.82,224,0.875,bicubic
gluon_seresnext50_32x4d,79.924,20.076,94.822,5.178,27.56,224,0.875,bicubic rexnet_150,80.350,19.650,95.202,4.798,9.73,224,0.875,bicubic
gluon_resnet152_v1c,79.914,20.086,94.848,5.152,60.21,224,0.875,bicubic ssl_resnext50_32x4d,80.332,19.668,95.382,4.618,25.03,224,0.875,bilinear
efficientnet_b2_pruned,79.906,20.094,94.856,5.144,8.31,260,0.890,bicubic efficientnet_b2,80.314,19.686,95.112,4.888,9.11,260,0.875,bicubic
xception71,79.884,20.116,94.932,5.068,42.34,299,0.903,bicubic regnetx_320,80.314,19.686,95.068,4.932,107.81,224,0.875,bicubic
regnety_080,79.870,20.130,94.830,5.170,39.18,224,0.875,bicubic gluon_resnet101_v1s,80.296,19.704,95.176,4.824,44.67,224,0.875,bicubic
regnetx_160,79.838,20.162,94.824,5.176,54.28,224,0.875,bicubic seresnet50,80.292,19.708,95.048,4.952,28.09,224,0.875,bicubic
dpn131,79.826,20.174,94.712,5.288,79.25,224,0.875,bicubic tf_efficientnet_el,80.292,19.708,95.120,4.880,10.59,300,0.904,bicubic
tf_efficientnet_lite3,79.826,20.174,94.908,5.092,8.20,300,0.904,bilinear legacy_seresnext101_32x4d,80.282,19.718,95.024,4.976,48.96,224,0.875,bilinear
resnext50_32x4d,79.790,20.210,94.606,5.394,25.03,224,0.875,bicubic tf_efficientnet_b2_ap,80.240,19.760,94.984,5.016,9.11,260,0.890,bicubic
regnety_064,79.732,20.268,94.764,5.236,30.58,224,0.875,bicubic repvgg_b3g4,80.238,19.762,95.068,4.932,83.83,224,0.875,bilinear
ecaresnet50d_pruned,79.712,20.288,94.876,5.124,19.94,224,0.875,bicubic gluon_resnext101_32x4d,80.218,19.782,94.908,5.092,44.18,224,0.875,bicubic
gluon_xception65,79.702,20.298,94.868,5.132,39.92,299,0.903,bicubic dpn107,80.180,19.820,94.906,5.094,86.92,224,0.875,bicubic
gluon_resnet152_v1b,79.692,20.308,94.734,5.266,60.19,224,0.875,bicubic inception_v4,80.154,19.846,94.962,5.038,42.68,299,0.875,bicubic
resnext50d_32x4d,79.668,20.332,94.866,5.134,25.05,224,0.875,bicubic skresnext50_32x4d,80.154,19.846,94.702,5.298,27.48,224,0.875,bicubic
dpn98,79.650,20.350,94.606,5.394,61.57,224,0.875,bicubic resnetv2_50x1_bitm,80.152,19.848,95.644,4.356,25.55,480,1.000,bilinear
regnetx_120,79.610,20.390,94.732,5.268,46.11,224,0.875,bicubic cspdarknet53,80.050,19.950,95.076,4.924,27.64,256,0.887,bilinear
cspresnet50,79.574,20.426,94.708,5.292,21.62,256,0.887,bilinear dpn92,80.034,19.966,94.818,5.182,37.67,224,0.875,bicubic
xception65,79.550,20.450,94.658,5.342,39.92,299,0.903,bicubic tf_efficientnet_b2,80.024,19.976,94.944,5.056,9.11,260,0.890,bicubic
gluon_resnet101_v1c,79.532,20.468,94.588,5.412,44.57,224,0.875,bicubic cspresnext50,80.006,19.994,94.932,5.068,20.57,224,0.875,bilinear
rexnet_130,79.494,20.506,94.674,5.326,7.56,224,0.875,bicubic gluon_seresnext50_32x4d,79.948,20.052,94.836,5.164,27.56,224,0.875,bicubic
hrnet_w64,79.462,20.538,94.654,5.346,128.06,224,0.875,bilinear ens_adv_inception_resnet_v2,79.930,20.070,94.950,5.050,55.84,299,0.897,bicubic
dla102x2,79.442,20.558,94.646,5.354,41.28,224,0.875,bilinear ecaresnet26t,79.884,20.116,95.072,4.928,16.01,320,0.950,bicubic
gluon_resnext50_32x4d,79.354,20.646,94.424,5.576,25.03,224,0.875,bicubic regnetx_160,79.884,20.116,94.826,5.174,54.28,224,0.875,bicubic
tf_efficientnet_cc_b1_8e,79.326,20.674,94.372,5.628,39.72,240,0.882,bicubic vit_deit_small_patch16_224,79.868,20.132,95.042,4.958,22.05,224,0.900,bicubic
hrnet_w48,79.316,20.684,94.514,5.486,77.47,224,0.875,bilinear dpn131,79.866,20.134,94.726,5.274,79.25,224,0.875,bicubic
ese_vovnet39b,79.312,20.688,94.722,5.278,24.57,224,0.875,bicubic gluon_resnet152_v1c,79.850,20.150,94.890,5.110,60.21,224,0.875,bicubic
gluon_resnet101_v1b,79.304,20.696,94.530,5.470,44.55,224,0.875,bicubic xception71,79.846,20.154,94.936,5.064,42.34,299,0.903,bicubic
resnext101_32x8d,79.304,20.696,94.526,5.474,88.79,224,0.875,bilinear regnety_080,79.840,20.160,94.848,5.152,39.18,224,0.875,bicubic
resnetblur50,79.286,20.714,94.640,5.360,25.56,224,0.875,bicubic efficientnet_b2_pruned,79.832,20.168,94.806,5.194,8.31,260,0.890,bicubic
tf_efficientnet_b1_ap,79.276,20.724,94.302,5.698,7.79,240,0.882,bicubic tf_efficientnet_lite3,79.758,20.242,94.864,5.136,8.20,300,0.904,bilinear
efficientnet_em,79.264,20.736,94.790,5.210,6.90,240,0.882,bicubic gluon_xception65,79.756,20.244,94.852,5.148,39.92,299,0.903,bicubic
ssl_resnet50,79.236,20.764,94.830,5.170,25.56,224,0.875,bilinear regnety_064,79.736,20.264,94.758,5.242,30.58,224,0.875,bicubic
regnety_040,79.232,20.768,94.644,5.356,20.65,224,0.875,bicubic resnext50_32x4d,79.722,20.278,94.606,5.394,25.03,224,0.875,bicubic
dpn68b,79.212,20.788,94.422,5.578,12.61,224,0.875,bicubic dpn98,79.688,20.312,94.644,5.356,61.57,224,0.875,bicubic
regnetx_080,79.212,20.788,94.554,5.446,39.57,224,0.875,bicubic resnext50d_32x4d,79.688,20.312,94.844,5.156,25.05,224,0.875,bicubic
res2net101_26w_4s,79.194,20.806,94.434,5.566,45.21,224,0.875,bilinear ecaresnet50d_pruned,79.676,20.324,94.922,5.078,19.94,224,0.875,bicubic
res2net50_26w_8s,79.192,20.808,94.368,5.632,48.40,224,0.875,bilinear gluon_resnet152_v1b,79.634,20.366,94.758,5.242,60.19,224,0.875,bicubic
legacy_seresnext50_32x4d,79.084,20.916,94.434,5.566,27.56,224,0.875,bilinear xception65,79.592,20.408,94.658,5.342,39.92,299,0.903,bicubic
regnetx_064,79.064,20.936,94.470,5.530,26.21,224,0.875,bicubic cspresnet50,79.582,20.418,94.712,5.288,21.62,256,0.887,bilinear
gluon_resnet50_v1d,79.064,20.936,94.460,5.540,25.58,224,0.875,bicubic regnetx_120,79.574,20.426,94.692,5.308,46.11,224,0.875,bicubic
xception,79.046,20.954,94.396,5.604,22.86,299,0.897,bicubic gluon_resnet101_v1c,79.550,20.450,94.642,5.358,44.57,224,0.875,bicubic
resnet50,79.036,20.964,94.392,5.608,25.56,224,0.875,bicubic rexnet_130,79.516,20.484,94.660,5.340,7.56,224,0.875,bicubic
mixnet_l,78.980,21.020,94.182,5.818,7.33,224,0.875,bicubic hrnet_w64,79.488,20.512,94.638,5.362,128.06,224,0.875,bilinear
hrnet_w40,78.932,21.068,94.478,5.522,57.56,224,0.875,bilinear dla102x2,79.428,20.572,94.628,5.372,41.28,224,0.875,bilinear
hrnet_w44,78.890,21.110,94.374,5.626,67.06,224,0.875,bilinear repvgg_b2g4,79.404,20.596,94.706,5.294,61.76,224,0.875,bilinear
wide_resnet101_2,78.854,21.146,94.282,5.718,126.89,224,0.875,bilinear gluon_resnet101_v1b,79.360,20.640,94.508,5.492,44.55,224,0.875,bicubic
tf_efficientnet_b1,78.844,21.156,94.196,5.804,7.79,240,0.882,bicubic nf_regnet_b1,79.324,20.676,94.772,5.228,10.22,288,0.900,bicubic
gluon_inception_v3,78.800,21.200,94.380,5.620,23.83,299,0.875,bicubic gluon_resnext50_32x4d,79.320,20.680,94.500,5.500,25.03,224,0.875,bicubic
tf_mixnet_l,78.776,21.224,94.002,5.998,7.33,224,0.875,bicubic tf_efficientnet_b1_ap,79.290,20.710,94.326,5.674,7.79,240,0.882,bicubic
tf_efficientnet_em,78.712,21.288,94.328,5.672,6.90,240,0.882,bicubic tf_efficientnet_cc_b1_8e,79.288,20.712,94.358,5.642,39.72,240,0.882,bicubic
efficientnet_b1,78.706,21.294,94.154,5.846,7.79,240,0.875,bicubic resnetblur50,79.262,20.738,94.622,5.378,25.56,224,0.875,bicubic
gluon_resnet50_v1s,78.700,21.300,94.246,5.754,25.68,224,0.875,bicubic ssl_resnet50,79.240,20.760,94.914,5.086,25.56,224,0.875,bilinear
dla169,78.694,21.306,94.330,5.670,53.39,224,0.875,bilinear hrnet_w48,79.236,20.764,94.522,5.478,77.47,224,0.875,bilinear
legacy_seresnet152,78.666,21.334,94.376,5.624,66.82,224,0.875,bilinear efficientnet_em,79.230,20.770,94.792,5.208,6.90,240,0.882,bicubic
tf_efficientnet_b0_ns,78.660,21.340,94.372,5.628,5.29,224,0.875,bicubic regnety_040,79.216,20.784,94.662,5.338,20.65,224,0.875,bicubic
res2net50_26w_6s,78.566,21.434,94.120,5.880,37.05,224,0.875,bilinear resnext101_32x8d,79.210,20.790,94.556,5.444,88.79,224,0.875,bilinear
xception41,78.536,21.464,94.284,5.716,26.97,299,0.903,bicubic ese_vovnet39b,79.206,20.794,94.728,5.272,24.57,224,0.875,bicubic
dla102x,78.510,21.490,94.230,5.770,26.31,224,0.875,bilinear regnetx_080,79.174,20.826,94.556,5.444,39.57,224,0.875,bicubic
regnetx_040,78.484,21.516,94.252,5.748,22.12,224,0.875,bicubic dpn68b,79.140,20.860,94.424,5.576,12.61,224,0.875,bicubic
resnest26d,78.480,21.520,94.300,5.700,17.07,224,0.875,bilinear res2net50_26w_8s,79.130,20.870,94.404,5.596,48.40,224,0.875,bilinear
dla60_res2net,78.460,21.540,94.206,5.794,20.85,224,0.875,bilinear res2net101_26w_4s,79.120,20.880,94.432,5.568,45.21,224,0.875,bilinear
hrnet_w32,78.446,21.554,94.190,5.810,41.23,224,0.875,bilinear legacy_seresnext50_32x4d,79.108,20.892,94.478,5.522,27.56,224,0.875,bilinear
dla60_res2next,78.444,21.556,94.158,5.842,17.03,224,0.875,bilinear regnetx_064,79.078,20.922,94.460,5.540,26.21,224,0.875,bicubic
selecsls60b,78.410,21.590,94.178,5.822,32.77,224,0.875,bicubic gluon_resnet50_v1d,79.072,20.928,94.478,5.522,25.58,224,0.875,bicubic
legacy_seresnet101,78.380,21.620,94.262,5.738,49.33,224,0.875,bilinear xception,79.028,20.972,94.370,5.630,22.86,299,0.897,bicubic
tv_resnet152,78.320,21.680,94.052,5.948,60.19,224,0.875,bilinear resnet50,79.004,20.996,94.392,5.608,25.56,224,0.875,bicubic
dla60x,78.250,21.750,94.024,5.976,17.35,224,0.875,bilinear mixnet_l,78.932,21.068,94.184,5.816,7.33,224,0.875,bicubic
efficientnet_b1_pruned,78.248,21.752,93.836,6.164,6.33,240,0.882,bicubic wide_resnet101_2,78.910,21.090,94.344,5.656,126.89,224,0.875,bilinear
res2next50,78.236,21.764,93.906,6.094,24.67,224,0.875,bilinear hrnet_w40,78.906,21.094,94.434,5.566,57.56,224,0.875,bilinear
hrnet_w30,78.206,21.794,94.224,5.776,37.71,224,0.875,bilinear hrnet_w44,78.886,21.114,94.410,5.590,67.06,224,0.875,bilinear
regnetx_032,78.148,21.852,94.088,5.912,15.30,224,0.875,bicubic repvgg_b2,78.882,21.118,94.346,5.654,89.02,224,0.875,bilinear
res2net50_14w_8s,78.138,21.862,93.856,6.144,25.06,224,0.875,bilinear tf_efficientnet_b1,78.832,21.168,94.206,5.794,7.79,240,0.882,bicubic
efficientnet_es,78.088,21.912,93.932,6.068,5.44,224,0.875,bicubic gluon_inception_v3,78.830,21.170,94.398,5.602,23.83,299,0.875,bicubic
dla102,78.030,21.970,93.952,6.048,33.27,224,0.875,bilinear tf_mixnet_l,78.802,21.198,94.054,5.946,7.33,224,0.875,bicubic
gluon_resnet50_v1c,78.008,21.992,93.988,6.012,25.58,224,0.875,bicubic gluon_resnet50_v1s,78.788,21.212,94.240,5.760,25.68,224,0.875,bicubic
res2net50_26w_4s,77.992,22.008,93.852,6.148,25.70,224,0.875,bilinear dla169,78.732,21.268,94.334,5.666,53.39,224,0.875,bilinear
selecsls60,77.990,22.010,93.828,6.172,30.67,224,0.875,bicubic legacy_seresnet152,78.644,21.356,94.390,5.610,66.82,224,0.875,bilinear
seresnext26t_32x4d,77.988,22.012,93.732,6.268,16.82,224,0.875,bicubic efficientnet_b1,78.604,21.396,94.094,5.906,7.79,240,0.875,bicubic
seresnext26tn_32x4d,77.986,22.014,93.744,6.256,16.81,224,0.875,bicubic res2net50_26w_6s,78.604,21.396,94.164,5.836,37.05,224,0.875,bilinear
tf_efficientnet_cc_b0_8e,77.908,22.092,93.652,6.348,24.01,224,0.875,bicubic tf_efficientnet_b0_ns,78.600,21.400,94.388,5.612,5.29,224,0.875,bicubic
regnety_016,77.868,22.132,93.726,6.274,11.20,224,0.875,bicubic dla102x,78.528,21.472,94.206,5.794,26.31,224,0.875,bilinear
tf_inception_v3,77.866,22.134,93.646,6.354,23.83,299,0.875,bicubic dla60_res2net,78.522,21.478,94.252,5.748,20.85,224,0.875,bilinear
rexnet_100,77.862,22.138,93.878,6.122,4.80,224,0.875,bicubic selecsls60b,78.496,21.504,94.192,5.808,32.77,224,0.875,bicubic
vit_small_patch16_224,77.854,22.146,93.424,6.576,48.75,224,0.900,bicubic xception41,78.496,21.504,94.256,5.744,26.97,299,0.903,bicubic
efficientnet_b0,77.706,22.294,93.522,6.478,5.29,224,0.875,bicubic regnetx_040,78.494,21.506,94.270,5.730,22.12,224,0.875,bicubic
legacy_seresnet50,77.636,22.364,93.744,6.256,28.09,224,0.875,bilinear repvgg_b1,78.442,21.558,94.158,5.842,57.42,224,0.875,bilinear
tv_resnext50_32x4d,77.614,22.386,93.684,6.316,25.03,224,0.875,bilinear resnest26d,78.440,21.560,94.296,5.704,17.07,224,0.875,bilinear
seresnext26d_32x4d,77.586,22.414,93.608,6.392,16.81,224,0.875,bicubic hrnet_w32,78.424,21.576,94.202,5.798,41.23,224,0.875,bilinear
adv_inception_v3,77.582,22.418,93.740,6.260,23.83,299,0.875,bicubic legacy_seresnet101,78.420,21.580,94.174,5.826,49.33,224,0.875,bilinear
gluon_resnet50_v1b,77.578,22.422,93.718,6.282,25.56,224,0.875,bicubic dla60_res2next,78.322,21.678,94.190,5.810,17.03,224,0.875,bilinear
res2net50_48w_2s,77.534,22.466,93.560,6.440,25.29,224,0.875,bilinear efficientnet_b1_pruned,78.274,21.726,93.808,6.192,6.33,240,0.882,bicubic
tf_efficientnet_lite2,77.482,22.518,93.748,6.252,6.09,260,0.890,bicubic tv_resnet152,78.250,21.750,93.982,6.018,60.19,224,0.875,bilinear
inception_v3,77.464,22.536,93.476,6.524,23.83,299,0.875,bicubic dla60x,78.226,21.774,93.988,6.012,17.35,224,0.875,bilinear
tv_resnet101,77.366,22.634,93.556,6.444,44.55,224,0.875,bilinear tf_efficientnet_em,78.160,21.840,94.046,5.954,6.90,240,0.882,bicubic
densenet161,77.360,22.640,93.634,6.366,28.68,224,0.875,bicubic regnetx_032,78.148,21.852,94.066,5.934,15.30,224,0.875,bicubic
tf_efficientnet_cc_b0_4e,77.320,22.680,93.322,6.678,13.31,224,0.875,bicubic hrnet_w30,78.134,21.866,94.192,5.808,37.71,224,0.875,bilinear
densenet201,77.290,22.710,93.480,6.520,20.01,224,0.875,bicubic res2net50_14w_8s,78.118,21.882,93.836,6.164,25.06,224,0.875,bilinear
tf_efficientnet_es,77.284,22.716,93.604,6.396,5.44,224,0.875,bicubic res2next50,78.080,21.920,93.952,6.048,24.67,224,0.875,bilinear
mobilenetv2_120d,77.278,22.722,93.510,6.490,5.83,224,0.875,bicubic dla102,78.054,21.946,93.918,6.082,33.27,224,0.875,bilinear
mixnet_m,77.274,22.726,93.422,6.578,5.01,224,0.875,bicubic efficientnet_es,78.032,21.968,93.900,6.100,5.44,224,0.875,bicubic
selecsls42b,77.184,22.816,93.388,6.612,32.46,224,0.875,bicubic res2net50_26w_4s,77.966,22.034,93.830,6.170,25.70,224,0.875,bilinear
resnet34d,77.114,22.886,93.382,6.618,21.82,224,0.875,bicubic gluon_resnet50_v1c,77.926,22.074,94.006,5.994,25.58,224,0.875,bicubic
legacy_seresnext26_32x4d,77.106,22.894,93.308,6.692,16.79,224,0.875,bicubic tf_efficientnet_cc_b0_8e,77.926,22.074,93.598,6.402,24.01,224,0.875,bicubic
tf_efficientnet_b0_ap,77.102,22.898,93.264,6.736,5.29,224,0.875,bicubic selecsls60,77.914,22.086,93.822,6.178,30.67,224,0.875,bicubic
dla60,77.036,22.964,93.324,6.676,22.04,224,0.875,bilinear rexnet_100,77.886,22.114,93.858,6.142,4.80,224,0.875,bicubic
tf_mixnet_m,76.956,23.044,93.164,6.836,5.01,224,0.875,bicubic vit_small_patch16_224,77.872,22.128,93.392,6.608,48.75,224,0.900,bicubic
regnetx_016,76.946,23.054,93.426,6.574,9.19,224,0.875,bicubic seresnext26t_32x4d,77.830,22.170,93.728,6.272,16.81,224,0.875,bicubic
skresnet34,76.930,23.070,93.322,6.678,22.28,224,0.875,bicubic tf_inception_v3,77.804,22.196,93.650,6.350,23.83,299,0.875,bicubic
tf_efficientnet_b0,76.848,23.152,93.232,6.768,5.29,224,0.875,bicubic regnety_016,77.804,22.196,93.724,6.276,11.20,224,0.875,bicubic
ese_vovnet19b_dw,76.818,23.182,93.278,6.722,6.54,224,0.875,bicubic gluon_resnet50_v1b,77.664,22.336,93.674,6.326,25.56,224,0.875,bicubic
hrnet_w18,76.764,23.236,93.442,6.558,21.30,224,0.875,bilinear tv_resnext50_32x4d,77.628,22.372,93.680,6.320,25.03,224,0.875,bilinear
resnet26d,76.688,23.312,93.146,6.854,16.01,224,0.875,bicubic legacy_seresnet50,77.612,22.388,93.796,6.204,28.09,224,0.875,bilinear
tf_efficientnet_lite1,76.666,23.334,93.238,6.762,5.42,240,0.882,bicubic efficientnet_b0,77.610,22.390,93.564,6.436,5.29,224,0.875,bicubic
densenetblur121d,76.586,23.414,93.196,6.804,8.00,224,0.875,bicubic adv_inception_v3,77.562,22.438,93.686,6.314,23.83,299,0.875,bicubic
mobilenetv2_140,76.512,23.488,92.998,7.002,6.11,224,0.875,bicubic repvgg_b1g4,77.540,22.460,93.794,6.206,39.97,224,0.875,bilinear
regnety_008,76.320,23.680,93.068,6.932,6.26,224,0.875,bicubic res2net50_48w_2s,77.518,22.482,93.582,6.418,25.29,224,0.875,bilinear
dpn68,76.312,23.688,92.968,7.032,12.61,224,0.875,bicubic seresnext26d_32x4d,77.518,22.482,93.606,6.394,16.81,224,0.875,bicubic
tv_resnet50,76.158,23.842,92.878,7.122,25.56,224,0.875,bilinear tf_efficientnet_lite2,77.440,22.560,93.762,6.238,6.09,260,0.890,bicubic
mixnet_s,75.994,24.006,92.790,7.210,4.13,224,0.875,bicubic inception_v3,77.410,22.590,93.474,6.526,23.83,299,0.875,bicubic
densenet169,75.898,24.102,93.022,6.978,14.15,224,0.875,bicubic densenet161,77.338,22.662,93.688,6.312,28.68,224,0.875,bicubic
mobilenetv3_large_100,75.774,24.226,92.538,7.462,5.48,224,0.875,bicubic mobilenetv2_120d,77.328,22.672,93.478,6.522,5.83,224,0.875,bicubic
tf_mixnet_s,75.682,24.318,92.638,7.362,4.13,224,0.875,bicubic densenet201,77.320,22.680,93.482,6.518,20.01,224,0.875,bicubic
mobilenetv3_rw,75.620,24.380,92.712,7.288,5.48,224,0.875,bicubic tv_resnet101,77.314,22.686,93.556,6.444,44.55,224,0.875,bilinear
densenet121,75.564,24.436,92.648,7.352,7.98,224,0.875,bicubic tf_efficientnet_cc_b0_4e,77.296,22.704,93.360,6.640,13.31,224,0.875,bicubic
resnest14d,75.514,24.486,92.518,7.482,10.61,224,0.875,bilinear mixnet_m,77.176,22.824,93.426,6.574,5.01,224,0.875,bicubic
tf_mobilenetv3_large_100,75.510,24.490,92.610,7.390,5.48,224,0.875,bilinear legacy_seresnext26_32x4d,77.116,22.884,93.358,6.642,16.79,224,0.875,bicubic
efficientnet_lite0,75.502,24.498,92.514,7.486,4.65,224,0.875,bicubic selecsls42b,77.096,22.904,93.424,6.576,32.46,224,0.875,bicubic
semnasnet_100,75.452,24.548,92.610,7.390,3.89,224,0.875,bicubic resnet34d,77.096,22.904,93.392,6.608,21.82,224,0.875,bicubic
resnet26,75.290,24.710,92.566,7.434,16.00,224,0.875,bicubic tf_efficientnet_b0_ap,77.072,22.928,93.262,6.738,5.29,224,0.875,bicubic
regnety_006,75.268,24.732,92.530,7.470,6.06,224,0.875,bicubic tf_mixnet_m,76.964,23.036,93.212,6.788,5.01,224,0.875,bicubic
fbnetc_100,75.116,24.884,92.374,7.626,5.57,224,0.875,bilinear dla60,76.924,23.076,93.290,6.710,22.04,224,0.875,bilinear
hrnet_w18_small_v2,75.108,24.892,92.412,7.588,15.60,224,0.875,bilinear regnetx_016,76.914,23.086,93.372,6.628,9.19,224,0.875,bicubic
resnet34,75.106,24.894,92.276,7.724,21.80,224,0.875,bilinear skresnet34,76.910,23.090,93.272,6.728,22.28,224,0.875,bicubic
regnetx_008,75.052,24.948,92.342,7.658,7.26,224,0.875,bicubic gernet_s,76.874,23.126,93.128,6.872,8.17,224,0.875,bilinear
mobilenetv2_110d,75.048,24.952,92.190,7.810,4.52,224,0.875,bicubic hrnet_w18,76.832,23.168,93.404,6.596,21.30,224,0.875,bilinear
tf_efficientnet_lite0,74.832,25.168,92.174,7.826,4.65,224,0.875,bicubic tf_efficientnet_b0,76.830,23.170,93.272,6.728,5.29,224,0.875,bicubic
legacy_seresnet34,74.790,25.210,92.126,7.874,21.96,224,0.875,bilinear ese_vovnet19b_dw,76.772,23.228,93.276,6.724,6.54,224,0.875,bicubic
tv_densenet121,74.742,25.258,92.154,7.846,7.98,224,0.875,bicubic tf_efficientnet_lite1,76.628,23.372,93.248,6.752,5.42,240,0.882,bicubic
mnasnet_100,74.670,25.330,92.102,7.898,4.38,224,0.875,bicubic resnet26d,76.600,23.400,93.188,6.812,16.01,224,0.875,bicubic
dla34,74.624,25.376,92.062,7.938,15.74,224,0.875,bilinear tf_efficientnet_es,76.562,23.438,93.184,6.816,5.44,224,0.875,bicubic
gluon_resnet34_v1b,74.588,25.412,91.996,8.004,21.80,224,0.875,bicubic mobilenetv2_140,76.538,23.462,92.944,7.056,6.11,224,0.875,bicubic
spnasnet_100,74.080,25.920,91.820,8.180,4.42,224,0.875,bilinear repvgg_a2,76.488,23.512,93.022,6.978,28.21,224,0.875,bilinear
regnety_004,74.018,25.982,91.764,8.236,4.34,224,0.875,bicubic densenetblur121d,76.474,23.526,93.096,6.904,8.00,224,0.875,bicubic
regnetx_006,73.844,26.156,91.678,8.322,6.20,224,0.875,bicubic dpn68,76.378,23.622,92.978,7.022,12.61,224,0.875,bicubic
tf_mobilenetv3_large_075,73.448,26.552,91.342,8.658,3.99,224,0.875,bilinear regnety_008,76.324,23.676,93.100,6.900,6.26,224,0.875,bicubic
tv_resnet34,73.304,26.696,91.424,8.576,21.80,224,0.875,bilinear mixnet_s,76.062,23.938,92.826,7.174,4.13,224,0.875,bicubic
swsl_resnet18,73.280,26.720,91.758,8.242,11.69,224,0.875,bilinear tv_resnet50,76.012,23.988,92.934,7.066,25.56,224,0.875,bilinear
skresnet18,73.026,26.974,91.172,8.828,11.96,224,0.875,bicubic densenet169,75.950,24.050,92.994,7.006,14.15,224,0.875,bicubic
mobilenetv2_100,72.950,27.050,91.002,8.998,3.50,224,0.875,bicubic mobilenetv3_large_100,75.710,24.290,92.496,7.504,5.48,224,0.875,bicubic
ssl_resnet18,72.616,27.384,91.416,8.584,11.69,224,0.875,bilinear tf_mixnet_s,75.658,24.342,92.618,7.382,4.13,224,0.875,bicubic
regnetx_004,72.394,27.606,90.818,9.182,5.16,224,0.875,bicubic resnest14d,75.588,24.412,92.488,7.512,10.61,224,0.875,bilinear
hrnet_w18_small,72.336,27.664,90.684,9.316,13.19,224,0.875,bilinear mobilenetv3_rw,75.542,24.458,92.676,7.324,5.48,224,0.875,bicubic
resnet18d,72.274,27.726,90.688,9.312,11.71,224,0.875,bicubic densenet121,75.530,24.470,92.616,7.384,7.98,224,0.875,bicubic
tf_mobilenetv3_large_minimal_100,72.244,27.756,90.636,9.364,3.92,224,0.875,bilinear tf_mobilenetv3_large_100,75.520,24.480,92.550,7.450,5.48,224,0.875,bilinear
legacy_seresnet18,71.736,28.264,90.342,9.658,11.78,224,0.875,bicubic efficientnet_lite0,75.444,24.556,92.544,7.456,4.65,224,0.875,bicubic
gluon_resnet18_v1b,70.838,29.162,89.758,10.242,11.69,224,0.875,bicubic semnasnet_100,75.426,24.574,92.548,7.452,3.89,224,0.875,bicubic
regnety_002,70.278,29.722,89.546,10.454,3.16,224,0.875,bicubic resnet26,75.394,24.606,92.584,7.416,16.00,224,0.875,bicubic
resnet18,69.742,30.258,89.086,10.914,11.69,224,0.875,bilinear repvgg_b0,75.214,24.786,92.454,7.546,15.82,224,0.875,bilinear
regnetx_002,68.754,31.246,88.560,11.440,2.68,224,0.875,bicubic regnety_006,75.206,24.794,92.560,7.440,6.06,224,0.875,bicubic
tf_mobilenetv3_small_100,67.922,32.078,87.676,12.324,2.54,224,0.875,bilinear hrnet_w18_small_v2,75.164,24.836,92.430,7.570,15.60,224,0.875,bilinear
dla60x_c,67.912,32.088,88.418,11.582,1.32,224,0.875,bilinear resnet34,75.096,24.904,92.246,7.754,21.80,224,0.875,bilinear
dla46x_c,65.976,34.024,86.988,13.012,1.07,224,0.875,bilinear fbnetc_100,75.082,24.918,92.354,7.646,5.57,224,0.875,bilinear
tf_mobilenetv3_small_075,65.724,34.276,86.134,13.866,2.04,224,0.875,bilinear mobilenetv2_110d,75.048,24.952,92.132,7.868,4.52,224,0.875,bicubic
dla46_c,64.870,35.130,86.294,13.706,1.30,224,0.875,bilinear regnetx_008,75.026,24.974,92.332,7.668,7.26,224,0.875,bicubic
tf_mobilenetv3_small_minimal_100,62.910,37.090,84.244,15.756,2.04,224,0.875,bilinear legacy_seresnet34,74.912,25.088,92.164,7.836,21.96,224,0.875,bilinear
inception_v4,1.008,98.992,16.854,83.146,42.68,299,0.875,bicubic tf_efficientnet_lite0,74.868,25.132,92.130,7.870,4.65,224,0.875,bicubic
ens_adv_inception_resnet_v2,0.998,99.002,17.324,82.676,55.85,299,0.897,bicubic tv_densenet121,74.746,25.254,92.130,7.870,7.98,224,0.875,bicubic
pnasnet5large,0.984,99.016,18.576,81.424,86.06,331,0.911,bicubic mnasnet_100,74.692,25.308,92.140,7.860,4.38,224,0.875,bicubic
inception_resnet_v2,0.950,99.050,17.294,82.706,55.85,299,0.897,bicubic dla34,74.636,25.364,92.122,7.878,15.74,224,0.875,bilinear
gluon_resnet34_v1b,74.496,25.504,92.008,7.992,21.80,224,0.875,bicubic
vit_deit_tiny_distilled_patch16_224,74.494,25.506,91.884,8.116,5.91,224,0.900,bicubic
vgg19_bn,74.216,25.784,91.848,8.152,143.68,224,0.875,bilinear
spnasnet_100,74.120,25.880,91.882,8.118,4.42,224,0.875,bilinear
regnetx_006,73.962,26.038,91.684,8.316,6.20,224,0.875,bicubic
regnety_004,73.942,26.058,91.754,8.246,4.34,224,0.875,bicubic
vgg16_bn,73.476,26.524,91.536,8.464,138.37,224,0.875,bilinear
tf_mobilenetv3_large_075,73.372,26.628,91.404,8.596,3.99,224,0.875,bilinear
swsl_resnet18,73.318,26.682,91.752,8.248,11.69,224,0.875,bilinear
tv_resnet34,73.266,26.734,91.430,8.570,21.80,224,0.875,bilinear
skresnet18,73.000,27.000,91.156,8.844,11.96,224,0.875,bicubic
mobilenetv2_100,72.956,27.044,91.042,8.958,3.50,224,0.875,bicubic
regnetx_004,72.536,27.464,90.842,9.158,5.16,224,0.875,bicubic
ssl_resnet18,72.492,27.508,91.442,8.558,11.69,224,0.875,bilinear
resnet18d,72.380,27.620,90.710,9.290,11.71,224,0.875,bicubic
vgg19,72.360,27.640,90.850,9.150,143.67,224,0.875,bilinear
hrnet_w18_small,72.276,27.724,90.586,9.414,13.19,224,0.875,bilinear
tf_mobilenetv3_large_minimal_100,72.228,27.772,90.682,9.318,3.92,224,0.875,bilinear
vit_deit_tiny_patch16_224,72.196,27.804,91.092,8.908,5.72,224,0.900,bicubic
legacy_seresnet18,71.752,28.248,90.308,9.692,11.78,224,0.875,bicubic
vgg16,71.628,28.372,90.368,9.632,138.36,224,0.875,bilinear
vgg13_bn,71.618,28.382,90.360,9.640,133.05,224,0.875,bilinear
gluon_resnet18_v1b,70.922,29.078,89.770,10.230,11.69,224,0.875,bicubic
vgg11_bn,70.408,29.592,89.724,10.276,132.87,224,0.875,bilinear
regnety_002,70.326,29.674,89.556,10.444,3.16,224,0.875,bicubic
vgg13,69.984,30.016,89.306,10.694,133.05,224,0.875,bilinear
resnet18,69.644,30.356,88.982,11.018,11.69,224,0.875,bilinear
vgg11,68.872,31.128,88.658,11.342,132.86,224,0.875,bilinear
regnetx_002,68.830,31.170,88.510,11.490,2.68,224,0.875,bicubic
dla60x_c,67.952,32.048,88.438,11.562,1.32,224,0.875,bilinear
tf_mobilenetv3_small_100,67.876,32.124,87.682,12.318,2.54,224,0.875,bilinear
dla46x_c,65.930,34.070,87.004,12.996,1.07,224,0.875,bilinear
tf_mobilenetv3_small_075,65.732,34.268,86.168,13.832,2.04,224,0.875,bilinear
dla46_c,64.930,35.070,86.308,13.692,1.30,224,0.875,bilinear
tf_mobilenetv3_small_minimal_100,62.744,37.256,84.380,15.620,2.04,224,0.875,bilinear

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
2 tf_efficientnet_l2_ns 88.350 88.336 11.650 11.664 98.656 98.664 1.344 1.336 480.31 800 0.960 bicubic
3 tf_efficientnet_l2_ns_475 88.240 88.230 11.760 11.770 98.550 98.546 1.450 1.454 480.31 475 0.936 bicubic
4 tf_efficientnet_b7_ns 86.828 86.830 13.172 13.170 98.084 98.092 1.916 1.908 66.35 600 0.949 bicubic
5 tf_efficientnet_b6_ns 86.448 86.462 13.552 13.538 97.880 97.878 2.120 2.122 43.04 528 0.942 bicubic
6 tf_efficientnet_b5_ns dm_nfnet_f6 86.078 86.306 13.922 13.694 97.752 97.742 2.248 2.258 30.39 438.36 456 576 0.934 0.956 bicubic
7 ig_resnext101_32x48d tf_efficientnet_b5_ns 85.424 86.072 14.576 13.928 97.578 97.748 2.422 2.252 828.41 30.39 224 456 0.875 0.934 bilinear bicubic
8 tf_efficientnet_b8_ap dm_nfnet_f4 85.374 85.726 14.626 14.274 97.298 97.518 2.702 2.482 87.41 316.07 672 512 0.954 0.951 bicubic
9 tf_efficientnet_b8 dm_nfnet_f5 85.350 85.720 14.650 14.280 97.390 97.436 2.610 2.564 87.41 377.21 672 544 0.954 bicubic
10 vit_large_patch16_384 dm_nfnet_f3 85.166 85.582 14.834 14.418 97.362 97.390 2.638 2.610 304.72 254.92 384 416 1.000 0.940 bicubic
11 tf_efficientnet_b4_ns ig_resnext101_32x48d 85.150 85.502 14.850 14.498 97.470 97.548 2.530 2.452 19.34 828.41 380 224 0.922 0.875 bicubic bilinear
12 tf_efficientnet_b7_ap vit_deit_base_distilled_patch16_384 85.120 85.422 14.880 14.578 97.250 97.334 2.750 2.666 66.35 87.63 600 384 0.949 1.000 bicubic
13 ig_resnext101_32x32d tf_efficientnet_b8 85.090 85.384 14.910 14.616 97.440 97.400 2.560 2.600 468.53 87.41 224 672 0.875 0.954 bilinear bicubic
14 vit_base_resnet50_384 tf_efficientnet_b8_ap 84.986 85.384 15.014 14.616 97.296 97.298 2.704 2.702 98.95 87.41 384 672 1.000 0.954 bicubic
15 resnetv2_152x4_bitm tf_efficientnet_b4_ns 84.948 85.194 15.052 14.806 97.450 97.500 2.550 2.500 936.53 19.34 480 380 1.000 0.922 bilinear bicubic
16 tf_efficientnet_b7 vit_large_patch16_384 84.934 85.170 15.066 14.830 97.204 97.344 2.796 2.656 66.35 304.72 600 384 0.949 1.000 bicubic
17 tf_efficientnet_b6_ap ig_resnext101_32x32d 84.786 85.146 15.214 14.854 97.138 97.456 2.862 2.544 43.04 468.53 528 224 0.942 0.875 bicubic bilinear
18 resnest269e tf_efficientnet_b7_ap 84.526 85.124 15.474 14.876 96.986 97.256 3.014 2.744 110.93 66.35 416 600 0.928 0.949 bicubic
19 resnetv2_152x2_bitm vit_base_resnet50_384 84.404 84.994 15.596 15.006 97.434 97.294 2.566 2.706 236.34 98.95 480 384 1.000 bilinear bicubic
20 resnetv2_101x3_bitm dm_nfnet_f2 84.382 84.968 15.618 15.032 97.366 97.124 2.634 2.876 387.93 193.78 480 352 1.000 0.920 bilinear bicubic
21 seresnet152d_320 tf_efficientnet_b7 84.364 84.936 15.636 15.064 97.040 97.208 2.960 2.792 66.84 66.35 320 600 1.000 0.949 bicubic
22 swsl_resnext101_32x8d ecaresnet269d 84.270 84.926 15.730 15.074 97.170 97.236 2.830 2.764 88.79 102.09 224 352 0.875 1.000 bilinear bicubic
23 tf_efficientnet_b5_ap resnetv2_152x4_bitm 84.254 84.916 15.746 15.084 96.974 97.444 3.026 2.556 30.39 936.53 456 480 0.934 1.000 bicubic bilinear
24 vit_base_patch16_384 tf_efficientnet_b6_ap 84.202 84.790 15.798 15.210 97.218 97.136 2.782 2.864 86.86 43.04 384 528 1.000 0.942 bicubic
25 ig_resnext101_32x16d dm_nfnet_f1 84.164 84.594 15.836 15.406 97.194 97.080 2.806 2.920 194.03 132.63 224 320 0.875 0.910 bilinear bicubic
26 tf_efficientnet_b6 resnest269e 84.114 84.518 15.886 15.482 96.888 97.002 3.112 2.998 43.04 110.93 528 416 0.942 0.928 bicubic
27 tf_efficientnet_b3_ns resnetv2_152x2_bitm 84.044 84.428 15.956 15.572 96.910 97.452 3.090 2.548 12.23 236.34 300 480 0.904 1.000 bicubic bilinear
28 resnet200d_320 resnetv2_101x3_bitm 83.968 84.392 16.032 15.608 96.818 97.358 3.182 2.642 64.69 387.93 320 480 1.000 bicubic bilinear
29 resnest200e seresnet152d 83.852 84.350 16.148 15.650 96.890 97.042 3.110 2.958 70.20 66.84 320 0.909 1.000 bicubic
30 tf_efficientnet_b5 swsl_resnext101_32x8d 83.808 84.332 16.192 15.668 96.746 97.154 3.254 2.846 30.39 88.79 456 224 0.934 0.875 bicubic bilinear
31 resnetv2_50x3_bitm tf_efficientnet_b5_ap 83.752 84.260 16.248 15.740 97.120 96.974 2.880 3.026 217.32 30.39 480 456 1.000 0.934 bilinear bicubic
32 seresnet152d vit_base_patch16_384 83.740 84.212 16.260 15.788 96.770 97.216 3.230 2.784 66.84 86.86 256 384 0.940 1.000 bicubic
33 resnet152d_320 ig_resnext101_32x16d 83.666 84.168 16.334 15.832 96.734 97.196 3.266 2.804 60.21 194.03 320 224 1.000 0.875 bicubic bilinear
34 swsl_resnext101_32x16d tf_efficientnet_b6 83.344 84.122 16.656 15.878 96.840 96.890 3.160 3.110 194.03 43.04 224 528 0.875 0.942 bilinear bicubic
35 tf_efficientnet_b4_ap tf_efficientnet_b3_ns 83.256 84.012 16.744 15.988 96.394 96.910 3.606 3.090 19.34 12.23 380 300 0.922 0.904 bicubic
36 resnet200d 83.242 84.000 16.758 16.000 96.488 96.824 3.512 3.176 64.69 256 320 0.940 1.000 bicubic
37 swsl_resnext101_32x4d resnest200e 83.222 83.840 16.778 16.160 96.768 96.858 3.232 3.142 44.18 70.20 224 320 0.875 0.909 bilinear bicubic
38 resnet152d tf_efficientnet_b5 83.134 83.820 16.866 16.180 96.350 96.760 3.650 3.240 60.21 30.39 256 456 0.940 0.934 bicubic
39 vit_large_patch16_224 resnetv2_50x3_bitm 83.060 83.800 16.940 16.200 96.444 97.110 3.556 2.890 304.33 217.32 224 480 0.900 1.000 bicubic bilinear
40 tresnet_xl_448 resnet152d 83.056 83.664 16.944 16.336 96.186 96.726 3.814 3.274 78.44 60.21 448 320 0.875 1.000 bilinear bicubic
41 tf_efficientnet_b4 swsl_resnext101_32x16d 83.026 83.464 16.974 16.536 96.298 96.866 3.702 3.134 19.34 194.03 380 224 0.922 0.875 bicubic bilinear
42 resnet101d_320 vit_deit_base_distilled_patch16_224 83.024 83.372 16.976 16.628 96.456 96.504 3.544 3.496 44.57 87.34 320 224 1.000 0.900 bicubic
43 resnest101e dm_nfnet_f0 82.878 83.370 17.122 16.630 96.314 96.558 3.686 3.442 48.28 71.49 256 0.875 0.900 bilinear bicubic
44 ig_resnext101_32x8d swsl_resnext101_32x4d 82.696 83.252 17.304 16.748 96.644 96.768 3.356 3.232 88.79 44.18 224 0.875 bilinear
45 nasnetalarge tf_efficientnet_b4_ap 82.626 83.224 17.374 16.776 96.050 96.366 3.950 3.634 88.75 19.34 331 380 0.911 0.922 bicubic
46 tf_efficientnet_b2_ns vit_deit_base_patch16_384 82.392 83.092 17.608 16.908 96.238 96.352 3.762 3.648 9.11 86.86 260 384 0.890 1.000 bicubic
47 resnet101d vit_large_patch16_224 82.310 83.060 17.690 16.940 96.064 96.424 3.936 3.576 44.57 304.33 256 224 0.940 0.900 bicubic
48 tresnet_l_448 tresnet_xl_448 82.260 83.042 17.740 16.958 95.978 96.182 4.022 3.818 55.99 78.44 448 0.875 bilinear
49 efficientnet_b3a resnet101d 82.254 83.000 17.746 17.000 96.114 96.460 3.886 3.540 12.23 44.57 320 1.000 bicubic
50 resnetv2_101x1_bitm tf_efficientnet_b4 82.214 82.974 17.786 17.026 96.472 96.292 3.528 3.708 44.54 19.34 480 380 1.000 0.922 bilinear bicubic
51 ecaresnet101d resnest101e 82.176 82.824 17.824 17.176 96.056 96.310 3.944 3.690 44.57 48.28 224 256 0.875 bicubic bilinear
52 swsl_resnext50_32x4d pnasnet5large 82.172 82.786 17.828 17.214 96.232 96.076 3.768 3.924 25.03 86.06 224 331 0.875 0.911 bilinear bicubic
53 efficientnet_b3 ig_resnext101_32x8d 82.082 82.660 17.918 17.340 96.026 96.684 3.974 3.316 12.23 88.79 300 224 0.904 0.875 bicubic bilinear
54 tresnet_xl nasnetalarge 82.054 82.640 17.946 17.360 95.932 96.052 4.068 3.948 78.44 88.75 224 331 0.875 0.911 bilinear bicubic
55 regnety_032 tf_efficientnet_b2_ns 82.008 82.366 17.992 17.634 95.912 96.260 4.088 3.740 19.44 9.11 224 260 0.875 0.890 bicubic
56 ssl_resnext101_32x16d ecaresnet50t 81.838 82.348 18.162 17.652 96.092 96.144 3.908 3.856 194.03 25.57 224 320 0.875 0.950 bilinear bicubic
57 tf_efficientnet_b3_ap tresnet_l_448 81.822 82.290 18.178 17.710 95.620 95.978 4.380 4.022 12.23 55.99 300 448 0.904 0.875 bicubic bilinear
58 vit_base_patch16_224 efficientnet_b3a 81.784 82.232 18.216 17.768 96.126 3.874 86.57 12.23 224 320 0.900 1.000 bicubic
59 tresnet_m_448 resnetv2_101x1_bitm 81.718 82.208 18.282 17.792 95.566 96.460 4.434 3.540 31.39 44.54 448 480 0.875 1.000 bilinear
60 vit_base_patch32_384 swsl_resnext50_32x4d 81.656 82.186 18.344 17.814 96.130 96.264 3.870 3.736 88.30 25.03 384 224 1.000 0.875 bicubic bilinear
61 tf_efficientnet_b3 tresnet_xl 81.646 82.166 18.354 17.834 95.722 95.934 4.278 4.066 12.23 78.44 300 224 0.904 0.875 bicubic bilinear
62 rexnet_200 ecaresnet101d 81.626 82.118 18.374 17.882 95.672 96.040 4.328 3.960 16.37 44.57 224 0.875 bicubic
63 ssl_resnext101_32x8d efficientnet_b3 81.606 82.032 18.394 17.968 96.044 96.036 3.956 3.964 88.79 12.23 224 300 0.875 0.904 bilinear bicubic
64 tf_efficientnet_lite4 regnety_032 81.536 82.016 18.464 17.984 95.660 95.932 4.340 4.068 13.01 19.44 380 224 0.920 0.875 bilinear bicubic
65 tresnet_l vit_deit_base_patch16_224 81.486 81.994 18.514 18.006 95.620 95.738 4.380 4.262 55.99 86.57 224 0.875 0.900 bilinear bicubic
66 wide_resnet50_2 ssl_resnext101_32x16d 81.452 81.846 18.548 18.154 95.522 96.132 4.478 3.868 68.88 194.03 224 0.875 bicubic bilinear
67 tf_efficientnet_b1_ns tf_efficientnet_b3_ap 81.386 81.802 18.614 18.198 95.740 95.600 4.260 4.400 7.79 12.23 240 300 0.882 0.904 bicubic
68 legacy_senet154 vit_base_patch16_224 81.326 81.780 18.674 18.220 95.508 96.112 4.492 3.888 115.09 86.57 224 0.875 0.900 bilinear bicubic
69 seresnext50_32x4d tresnet_m_448 81.274 81.692 18.726 18.308 95.618 95.560 4.382 4.440 27.56 31.39 224 448 0.875 bicubic bilinear
70 gluon_senet154 rexnet_200 81.228 81.688 18.772 18.312 95.352 95.690 4.648 4.310 115.09 16.37 224 0.875 bicubic
71 swsl_resnet50 vit_base_patch32_384 81.136 81.664 18.864 18.336 95.974 96.128 4.026 3.872 25.56 88.30 224 384 0.875 1.000 bilinear bicubic
72 resnest50d_4s2x40d tf_efficientnet_b3 81.114 81.626 18.886 18.374 95.554 95.706 4.446 4.294 30.42 12.23 224 300 0.875 0.904 bicubic
73 gluon_resnet152_v1s ssl_resnext101_32x8d 81.018 81.600 18.982 18.400 95.420 96.022 4.580 3.978 60.32 88.79 224 0.875 bicubic bilinear
74 resnest50d_1s4x24d tf_efficientnet_lite4 81.004 81.516 18.996 18.484 95.326 95.624 4.674 4.376 25.68 13.01 224 380 0.875 0.920 bicubic bilinear
75 resnest50d vit_large_patch32_384 80.958 81.506 19.042 18.494 95.378 96.108 4.622 3.892 27.48 306.63 224 384 0.875 1.000 bilinear bicubic
76 ssl_resnext101_32x4d tresnet_l 80.914 81.490 19.086 18.510 95.734 95.584 4.266 4.416 44.18 55.99 224 0.875 bilinear
77 gluon_seresnext101_64x4d tf_efficientnet_b1_ns 80.884 81.398 19.116 18.602 95.314 95.730 4.686 4.270 88.23 7.79 224 240 0.875 0.882 bicubic
78 gluon_seresnext101_32x4d gernet_l 80.872 81.344 19.128 18.656 95.292 95.540 4.708 4.460 48.96 31.08 224 256 0.875 bicubic bilinear
79 efficientnet_b3_pruned legacy_senet154 80.858 81.322 19.142 18.678 95.240 95.454 4.760 4.546 9.86 115.09 300 224 0.904 0.875 bicubic bilinear
80 ecaresnet101d_pruned wide_resnet50_2 80.816 81.306 19.184 18.694 95.638 95.588 4.362 4.412 24.88 68.88 224 0.875 bicubic
81 tresnet_m seresnext50_32x4d 80.804 81.270 19.196 18.730 94.858 95.656 5.142 4.344 31.39 27.56 224 0.875 bilinear bicubic
82 regnety_320 vit_deit_small_distilled_patch16_224 80.798 81.250 19.202 18.750 95.246 95.396 4.754 4.604 145.05 22.44 224 0.875 0.900 bicubic
83 gluon_resnext101_64x4d gluon_senet154 80.630 81.216 19.370 18.784 94.998 95.320 5.002 4.680 83.46 115.09 224 0.875 bicubic
84 ecaresnet50d resnest50d_4s2x40d 80.614 81.148 19.386 18.852 95.308 95.552 4.692 4.448 25.58 30.42 224 0.875 bicubic
85 efficientnet_b2a swsl_resnet50 80.614 81.124 19.386 18.876 95.318 95.988 4.682 4.012 9.11 25.56 288 224 1.000 0.875 bicubic bilinear
86 resnet50d ssl_resnext101_32x4d 80.548 81.024 19.452 18.976 95.158 95.748 4.842 4.252 25.58 44.18 224 0.875 bicubic bilinear
87 gluon_resnet152_v1d gluon_resnet152_v1s 80.478 81.020 19.522 18.980 95.200 95.426 4.800 4.574 60.21 60.32 224 0.875 bicubic
88 mixnet_xl resnest50d 80.474 80.970 19.526 19.030 94.934 95.350 5.066 4.650 11.90 27.48 224 0.875 bicubic bilinear
89 ecaresnetlight resnest50d_1s4x24d 80.458 80.938 19.542 19.062 95.250 95.318 4.750 4.682 30.16 25.68 224 0.875 bicubic
90 tf_efficientnet_el ecaresnet101d_pruned 80.448 80.886 19.552 19.114 95.170 95.572 4.830 4.428 10.59 24.88 300 224 0.904 0.875 bicubic
91 gluon_resnet101_v1d gluon_seresnext101_32x4d 80.402 80.878 19.598 19.122 95.020 95.274 4.980 4.726 44.57 48.96 224 0.875 bicubic
92 efficientnet_b2 gluon_seresnext101_64x4d 80.378 80.852 19.622 19.148 95.078 95.336 4.922 4.664 9.11 88.23 260 224 0.875 bicubic
93 regnety_120 efficientnet_b3_pruned 80.378 80.820 19.622 19.180 95.122 95.224 4.878 4.776 51.82 9.86 224 300 0.875 0.904 bicubic
94 gluon_resnext101_32x4d regnety_320 80.334 80.782 19.666 19.218 94.908 95.262 5.092 4.738 44.18 145.05 224 0.875 bicubic
95 rexnet_150 gernet_m 80.310 80.730 19.690 19.270 95.162 95.212 4.838 4.788 9.73 21.14 224 0.875 bicubic bilinear
96 ssl_resnext50_32x4d tresnet_m 80.302 80.720 19.698 19.280 95.412 94.856 4.588 5.144 25.03 31.39 224 0.875 bilinear
97 tf_efficientnet_b2_ap nf_resnet50 80.302 80.666 19.698 19.334 95.032 95.358 4.968 4.642 9.11 25.56 260 288 0.890 0.940 bicubic
98 gluon_resnet101_v1s gluon_resnext101_64x4d 80.286 80.636 19.714 19.364 95.160 94.990 4.840 5.010 44.67 83.46 224 0.875 bicubic
99 regnety_160 ecaresnet50d 80.276 80.614 19.724 19.386 94.968 95.314 5.032 4.686 83.59 25.58 224 0.875 bicubic
100 seresnet50 efficientnet_b2a 80.258 80.608 19.742 19.392 95.066 95.298 4.934 4.702 28.09 9.11 224 288 0.875 1.000 bicubic
101 regnetx_320 resnet50d 80.254 80.492 19.746 19.508 95.030 95.128 4.970 4.872 107.81 25.58 224 0.875 bicubic
102 legacy_seresnext101_32x4d gluon_resnet152_v1d 80.228 80.480 19.772 19.520 95.020 95.262 4.980 4.738 48.96 60.21 224 0.875 bilinear bicubic
103 resnetv2_50x1_bitm ecaresnetlight 80.192 80.460 19.808 19.540 95.630 95.202 4.370 4.798 25.55 30.16 480 224 1.000 0.875 bilinear bicubic
104 dpn107 inception_resnet_v2 80.156 80.448 19.844 19.552 94.910 95.292 5.090 4.708 86.92 55.84 224 299 0.875 0.897 bicubic
105 skresnext50_32x4d repvgg_b3 80.146 80.440 19.854 19.560 94.640 95.194 5.360 4.806 27.48 123.09 224 0.875 bicubic bilinear
106 tf_efficientnet_b2 gluon_resnet101_v1d 80.072 80.430 19.928 19.570 94.904 95.014 5.096 4.986 9.11 44.57 260 224 0.890 0.875 bicubic
107 cspdarknet53 mixnet_xl 80.048 80.424 19.952 19.576 95.092 94.888 4.908 5.112 27.64 11.90 256 224 0.887 0.875 bilinear bicubic
108 cspresnext50 regnety_160 80.046 80.414 19.954 19.586 94.944 94.980 5.056 5.020 20.57 83.59 224 0.875 bilinear bicubic
109 dpn92 regnety_120 79.990 80.374 20.010 19.626 94.844 95.108 5.156 4.892 37.67 51.82 224 0.875 bicubic
110 gluon_seresnext50_32x4d rexnet_150 79.924 80.350 20.076 19.650 94.822 95.202 5.178 4.798 27.56 9.73 224 0.875 bicubic
111 gluon_resnet152_v1c ssl_resnext50_32x4d 79.914 80.332 20.086 19.668 94.848 95.382 5.152 4.618 60.21 25.03 224 0.875 bicubic bilinear
112 efficientnet_b2_pruned efficientnet_b2 79.906 80.314 20.094 19.686 94.856 95.112 5.144 4.888 8.31 9.11 260 0.890 0.875 bicubic
113 xception71 regnetx_320 79.884 80.314 20.116 19.686 94.932 95.068 5.068 4.932 42.34 107.81 299 224 0.903 0.875 bicubic
114 regnety_080 gluon_resnet101_v1s 79.870 80.296 20.130 19.704 94.830 95.176 5.170 4.824 39.18 44.67 224 0.875 bicubic
115 regnetx_160 seresnet50 79.838 80.292 20.162 19.708 94.824 95.048 5.176 4.952 54.28 28.09 224 0.875 bicubic
116 dpn131 tf_efficientnet_el 79.826 80.292 20.174 19.708 94.712 95.120 5.288 4.880 79.25 10.59 224 300 0.875 0.904 bicubic
117 tf_efficientnet_lite3 legacy_seresnext101_32x4d 79.826 80.282 20.174 19.718 94.908 95.024 5.092 4.976 8.20 48.96 300 224 0.904 0.875 bilinear
118 resnext50_32x4d tf_efficientnet_b2_ap 79.790 80.240 20.210 19.760 94.606 94.984 5.394 5.016 25.03 9.11 224 260 0.875 0.890 bicubic
119 regnety_064 repvgg_b3g4 79.732 80.238 20.268 19.762 94.764 95.068 5.236 4.932 30.58 83.83 224 0.875 bicubic bilinear
120 ecaresnet50d_pruned gluon_resnext101_32x4d 79.712 80.218 20.288 19.782 94.876 94.908 5.124 5.092 19.94 44.18 224 0.875 bicubic
121 gluon_xception65 dpn107 79.702 80.180 20.298 19.820 94.868 94.906 5.132 5.094 39.92 86.92 299 224 0.903 0.875 bicubic
122 gluon_resnet152_v1b inception_v4 79.692 80.154 20.308 19.846 94.734 94.962 5.266 5.038 60.19 42.68 224 299 0.875 bicubic
123 resnext50d_32x4d skresnext50_32x4d 79.668 80.154 20.332 19.846 94.866 94.702 5.134 5.298 25.05 27.48 224 0.875 bicubic
124 dpn98 resnetv2_50x1_bitm 79.650 80.152 20.350 19.848 94.606 95.644 5.394 4.356 61.57 25.55 224 480 0.875 1.000 bicubic bilinear
125 regnetx_120 cspdarknet53 79.610 80.050 20.390 19.950 94.732 95.076 5.268 4.924 46.11 27.64 224 256 0.875 0.887 bicubic bilinear
126 cspresnet50 dpn92 79.574 80.034 20.426 19.966 94.708 94.818 5.292 5.182 21.62 37.67 256 224 0.887 0.875 bilinear bicubic
127 xception65 tf_efficientnet_b2 79.550 80.024 20.450 19.976 94.658 94.944 5.342 5.056 39.92 9.11 299 260 0.903 0.890 bicubic
128 gluon_resnet101_v1c cspresnext50 79.532 80.006 20.468 19.994 94.588 94.932 5.412 5.068 44.57 20.57 224 0.875 bicubic bilinear
129 rexnet_130 gluon_seresnext50_32x4d 79.494 79.948 20.506 20.052 94.674 94.836 5.326 5.164 7.56 27.56 224 0.875 bicubic
130 hrnet_w64 ens_adv_inception_resnet_v2 79.462 79.930 20.538 20.070 94.654 94.950 5.346 5.050 128.06 55.84 224 299 0.875 0.897 bilinear bicubic
131 dla102x2 ecaresnet26t 79.442 79.884 20.558 20.116 94.646 95.072 5.354 4.928 41.28 16.01 224 320 0.875 0.950 bilinear bicubic
132 gluon_resnext50_32x4d regnetx_160 79.354 79.884 20.646 20.116 94.424 94.826 5.576 5.174 25.03 54.28 224 0.875 bicubic
133 tf_efficientnet_cc_b1_8e vit_deit_small_patch16_224 79.326 79.868 20.674 20.132 94.372 95.042 5.628 4.958 39.72 22.05 240 224 0.882 0.900 bicubic
134 hrnet_w48 dpn131 79.316 79.866 20.684 20.134 94.514 94.726 5.486 5.274 77.47 79.25 224 0.875 bilinear bicubic
135 ese_vovnet39b gluon_resnet152_v1c 79.312 79.850 20.688 20.150 94.722 94.890 5.278 5.110 24.57 60.21 224 0.875 bicubic
136 gluon_resnet101_v1b xception71 79.304 79.846 20.696 20.154 94.530 94.936 5.470 5.064 44.55 42.34 224 299 0.875 0.903 bicubic
137 resnext101_32x8d regnety_080 79.304 79.840 20.696 20.160 94.526 94.848 5.474 5.152 88.79 39.18 224 0.875 bilinear bicubic
138 resnetblur50 efficientnet_b2_pruned 79.286 79.832 20.714 20.168 94.640 94.806 5.360 5.194 25.56 8.31 224 260 0.875 0.890 bicubic
139 tf_efficientnet_b1_ap tf_efficientnet_lite3 79.276 79.758 20.724 20.242 94.302 94.864 5.698 5.136 7.79 8.20 240 300 0.882 0.904 bicubic bilinear
140 efficientnet_em gluon_xception65 79.264 79.756 20.736 20.244 94.790 94.852 5.210 5.148 6.90 39.92 240 299 0.882 0.903 bicubic
141 ssl_resnet50 regnety_064 79.236 79.736 20.764 20.264 94.830 94.758 5.170 5.242 25.56 30.58 224 0.875 bilinear bicubic
142 regnety_040 resnext50_32x4d 79.232 79.722 20.768 20.278 94.644 94.606 5.356 5.394 20.65 25.03 224 0.875 bicubic
143 dpn68b dpn98 79.212 79.688 20.788 20.312 94.422 94.644 5.578 5.356 12.61 61.57 224 0.875 bicubic
144 regnetx_080 resnext50d_32x4d 79.212 79.688 20.788 20.312 94.554 94.844 5.446 5.156 39.57 25.05 224 0.875 bicubic
145 res2net101_26w_4s ecaresnet50d_pruned 79.194 79.676 20.806 20.324 94.434 94.922 5.566 5.078 45.21 19.94 224 0.875 bilinear bicubic
146 res2net50_26w_8s gluon_resnet152_v1b 79.192 79.634 20.808 20.366 94.368 94.758 5.632 5.242 48.40 60.19 224 0.875 bilinear bicubic
147 legacy_seresnext50_32x4d xception65 79.084 79.592 20.916 20.408 94.434 94.658 5.566 5.342 27.56 39.92 224 299 0.875 0.903 bilinear bicubic
148 regnetx_064 cspresnet50 79.064 79.582 20.936 20.418 94.470 94.712 5.530 5.288 26.21 21.62 224 256 0.875 0.887 bicubic bilinear
149 gluon_resnet50_v1d regnetx_120 79.064 79.574 20.936 20.426 94.460 94.692 5.540 5.308 25.58 46.11 224 0.875 bicubic
150 xception gluon_resnet101_v1c 79.046 79.550 20.954 20.450 94.396 94.642 5.604 5.358 22.86 44.57 299 224 0.897 0.875 bicubic
151 resnet50 rexnet_130 79.036 79.516 20.964 20.484 94.392 94.660 5.608 5.340 25.56 7.56 224 0.875 bicubic
152 mixnet_l hrnet_w64 78.980 79.488 21.020 20.512 94.182 94.638 5.818 5.362 7.33 128.06 224 0.875 bicubic bilinear
153 hrnet_w40 dla102x2 78.932 79.428 21.068 20.572 94.478 94.628 5.522 5.372 57.56 41.28 224 0.875 bilinear
154 hrnet_w44 repvgg_b2g4 78.890 79.404 21.110 20.596 94.374 94.706 5.626 5.294 67.06 61.76 224 0.875 bilinear
155 wide_resnet101_2 gluon_resnet101_v1b 78.854 79.360 21.146 20.640 94.282 94.508 5.718 5.492 126.89 44.55 224 0.875 bilinear bicubic
156 tf_efficientnet_b1 nf_regnet_b1 78.844 79.324 21.156 20.676 94.196 94.772 5.804 5.228 7.79 10.22 240 288 0.882 0.900 bicubic
157 gluon_inception_v3 gluon_resnext50_32x4d 78.800 79.320 21.200 20.680 94.380 94.500 5.620 5.500 23.83 25.03 299 224 0.875 bicubic
158 tf_mixnet_l tf_efficientnet_b1_ap 78.776 79.290 21.224 20.710 94.002 94.326 5.998 5.674 7.33 7.79 224 240 0.875 0.882 bicubic
159 tf_efficientnet_em tf_efficientnet_cc_b1_8e 78.712 79.288 21.288 20.712 94.328 94.358 5.672 5.642 6.90 39.72 240 0.882 bicubic
160 efficientnet_b1 resnetblur50 78.706 79.262 21.294 20.738 94.154 94.622 5.846 5.378 7.79 25.56 240 224 0.875 bicubic
161 gluon_resnet50_v1s ssl_resnet50 78.700 79.240 21.300 20.760 94.246 94.914 5.754 5.086 25.68 25.56 224 0.875 bicubic bilinear
162 dla169 hrnet_w48 78.694 79.236 21.306 20.764 94.330 94.522 5.670 5.478 53.39 77.47 224 0.875 bilinear
163 legacy_seresnet152 efficientnet_em 78.666 79.230 21.334 20.770 94.376 94.792 5.624 5.208 66.82 6.90 224 240 0.875 0.882 bilinear bicubic
164 tf_efficientnet_b0_ns regnety_040 78.660 79.216 21.340 20.784 94.372 94.662 5.628 5.338 5.29 20.65 224 0.875 bicubic
165 res2net50_26w_6s resnext101_32x8d 78.566 79.210 21.434 20.790 94.120 94.556 5.880 5.444 37.05 88.79 224 0.875 bilinear
166 xception41 ese_vovnet39b 78.536 79.206 21.464 20.794 94.284 94.728 5.716 5.272 26.97 24.57 299 224 0.903 0.875 bicubic
167 dla102x regnetx_080 78.510 79.174 21.490 20.826 94.230 94.556 5.770 5.444 26.31 39.57 224 0.875 bilinear bicubic
168 regnetx_040 dpn68b 78.484 79.140 21.516 20.860 94.252 94.424 5.748 5.576 22.12 12.61 224 0.875 bicubic
169 resnest26d res2net50_26w_8s 78.480 79.130 21.520 20.870 94.300 94.404 5.700 5.596 17.07 48.40 224 0.875 bilinear
170 dla60_res2net res2net101_26w_4s 78.460 79.120 21.540 20.880 94.206 94.432 5.794 5.568 20.85 45.21 224 0.875 bilinear
171 hrnet_w32 legacy_seresnext50_32x4d 78.446 79.108 21.554 20.892 94.190 94.478 5.810 5.522 41.23 27.56 224 0.875 bilinear
172 dla60_res2next regnetx_064 78.444 79.078 21.556 20.922 94.158 94.460 5.842 5.540 17.03 26.21 224 0.875 bilinear bicubic
173 selecsls60b gluon_resnet50_v1d 78.410 79.072 21.590 20.928 94.178 94.478 5.822 5.522 32.77 25.58 224 0.875 bicubic
174 legacy_seresnet101 xception 78.380 79.028 21.620 20.972 94.262 94.370 5.738 5.630 49.33 22.86 224 299 0.875 0.897 bilinear bicubic
175 tv_resnet152 resnet50 78.320 79.004 21.680 20.996 94.052 94.392 5.948 5.608 60.19 25.56 224 0.875 bilinear bicubic
176 dla60x mixnet_l 78.250 78.932 21.750 21.068 94.024 94.184 5.976 5.816 17.35 7.33 224 0.875 bilinear bicubic
177 efficientnet_b1_pruned wide_resnet101_2 78.248 78.910 21.752 21.090 93.836 94.344 6.164 5.656 6.33 126.89 240 224 0.882 0.875 bicubic bilinear
178 res2next50 hrnet_w40 78.236 78.906 21.764 21.094 93.906 94.434 6.094 5.566 24.67 57.56 224 0.875 bilinear
179 hrnet_w30 hrnet_w44 78.206 78.886 21.794 21.114 94.224 94.410 5.776 5.590 37.71 67.06 224 0.875 bilinear
180 regnetx_032 repvgg_b2 78.148 78.882 21.852 21.118 94.088 94.346 5.912 5.654 15.30 89.02 224 0.875 bicubic bilinear
181 res2net50_14w_8s tf_efficientnet_b1 78.138 78.832 21.862 21.168 93.856 94.206 6.144 5.794 25.06 7.79 224 240 0.875 0.882 bilinear bicubic
182 efficientnet_es gluon_inception_v3 78.088 78.830 21.912 21.170 93.932 94.398 6.068 5.602 5.44 23.83 224 299 0.875 bicubic
183 dla102 tf_mixnet_l 78.030 78.802 21.970 21.198 93.952 94.054 6.048 5.946 33.27 7.33 224 0.875 bilinear bicubic
184 gluon_resnet50_v1c gluon_resnet50_v1s 78.008 78.788 21.992 21.212 93.988 94.240 6.012 5.760 25.58 25.68 224 0.875 bicubic
185 res2net50_26w_4s dla169 77.992 78.732 22.008 21.268 93.852 94.334 6.148 5.666 25.70 53.39 224 0.875 bilinear
186 selecsls60 legacy_seresnet152 77.990 78.644 22.010 21.356 93.828 94.390 6.172 5.610 30.67 66.82 224 0.875 bicubic bilinear
187 seresnext26t_32x4d efficientnet_b1 77.988 78.604 22.012 21.396 93.732 94.094 6.268 5.906 16.82 7.79 224 240 0.875 bicubic
188 seresnext26tn_32x4d res2net50_26w_6s 77.986 78.604 22.014 21.396 93.744 94.164 6.256 5.836 16.81 37.05 224 0.875 bicubic bilinear
189 tf_efficientnet_cc_b0_8e tf_efficientnet_b0_ns 77.908 78.600 22.092 21.400 93.652 94.388 6.348 5.612 24.01 5.29 224 0.875 bicubic
190 regnety_016 dla102x 77.868 78.528 22.132 21.472 93.726 94.206 6.274 5.794 11.20 26.31 224 0.875 bicubic bilinear
191 tf_inception_v3 dla60_res2net 77.866 78.522 22.134 21.478 93.646 94.252 6.354 5.748 23.83 20.85 299 224 0.875 bicubic bilinear
192 rexnet_100 selecsls60b 77.862 78.496 22.138 21.504 93.878 94.192 6.122 5.808 4.80 32.77 224 0.875 bicubic
193 vit_small_patch16_224 xception41 77.854 78.496 22.146 21.504 93.424 94.256 6.576 5.744 48.75 26.97 224 299 0.900 0.903 bicubic
194 efficientnet_b0 regnetx_040 77.706 78.494 22.294 21.506 93.522 94.270 6.478 5.730 5.29 22.12 224 0.875 bicubic
195 legacy_seresnet50 repvgg_b1 77.636 78.442 22.364 21.558 93.744 94.158 6.256 5.842 28.09 57.42 224 0.875 bilinear
196 tv_resnext50_32x4d resnest26d 77.614 78.440 22.386 21.560 93.684 94.296 6.316 5.704 25.03 17.07 224 0.875 bilinear
197 seresnext26d_32x4d hrnet_w32 77.586 78.424 22.414 21.576 93.608 94.202 6.392 5.798 16.81 41.23 224 0.875 bicubic bilinear
198 adv_inception_v3 legacy_seresnet101 77.582 78.420 22.418 21.580 93.740 94.174 6.260 5.826 23.83 49.33 299 224 0.875 bicubic bilinear
199 gluon_resnet50_v1b dla60_res2next 77.578 78.322 22.422 21.678 93.718 94.190 6.282 5.810 25.56 17.03 224 0.875 bicubic bilinear
200 res2net50_48w_2s efficientnet_b1_pruned 77.534 78.274 22.466 21.726 93.560 93.808 6.440 6.192 25.29 6.33 224 240 0.875 0.882 bilinear bicubic
201 tf_efficientnet_lite2 tv_resnet152 77.482 78.250 22.518 21.750 93.748 93.982 6.252 6.018 6.09 60.19 260 224 0.890 0.875 bicubic bilinear
202 inception_v3 dla60x 77.464 78.226 22.536 21.774 93.476 93.988 6.524 6.012 23.83 17.35 299 224 0.875 bicubic bilinear
203 tv_resnet101 tf_efficientnet_em 77.366 78.160 22.634 21.840 93.556 94.046 6.444 5.954 44.55 6.90 224 240 0.875 0.882 bilinear bicubic
204 densenet161 regnetx_032 77.360 78.148 22.640 21.852 93.634 94.066 6.366 5.934 28.68 15.30 224 0.875 bicubic
205 tf_efficientnet_cc_b0_4e hrnet_w30 77.320 78.134 22.680 21.866 93.322 94.192 6.678 5.808 13.31 37.71 224 0.875 bicubic bilinear
206 densenet201 res2net50_14w_8s 77.290 78.118 22.710 21.882 93.480 93.836 6.520 6.164 20.01 25.06 224 0.875 bicubic bilinear
207 tf_efficientnet_es res2next50 77.284 78.080 22.716 21.920 93.604 93.952 6.396 6.048 5.44 24.67 224 0.875 bicubic bilinear
208 mobilenetv2_120d dla102 77.278 78.054 22.722 21.946 93.510 93.918 6.490 6.082 5.83 33.27 224 0.875 bicubic bilinear
209 mixnet_m efficientnet_es 77.274 78.032 22.726 21.968 93.422 93.900 6.578 6.100 5.01 5.44 224 0.875 bicubic
210 selecsls42b res2net50_26w_4s 77.184 77.966 22.816 22.034 93.388 93.830 6.612 6.170 32.46 25.70 224 0.875 bicubic bilinear
211 resnet34d gluon_resnet50_v1c 77.114 77.926 22.886 22.074 93.382 94.006 6.618 5.994 21.82 25.58 224 0.875 bicubic
212 legacy_seresnext26_32x4d tf_efficientnet_cc_b0_8e 77.106 77.926 22.894 22.074 93.308 93.598 6.692 6.402 16.79 24.01 224 0.875 bicubic
213 tf_efficientnet_b0_ap selecsls60 77.102 77.914 22.898 22.086 93.264 93.822 6.736 6.178 5.29 30.67 224 0.875 bicubic
214 dla60 rexnet_100 77.036 77.886 22.964 22.114 93.324 93.858 6.676 6.142 22.04 4.80 224 0.875 bilinear bicubic
215 tf_mixnet_m vit_small_patch16_224 76.956 77.872 23.044 22.128 93.164 93.392 6.836 6.608 5.01 48.75 224 0.875 0.900 bicubic
216 regnetx_016 seresnext26t_32x4d 76.946 77.830 23.054 22.170 93.426 93.728 6.574 6.272 9.19 16.81 224 0.875 bicubic
217 skresnet34 tf_inception_v3 76.930 77.804 23.070 22.196 93.322 93.650 6.678 6.350 22.28 23.83 224 299 0.875 bicubic
218 tf_efficientnet_b0 regnety_016 76.848 77.804 23.152 22.196 93.232 93.724 6.768 6.276 5.29 11.20 224 0.875 bicubic
219 ese_vovnet19b_dw gluon_resnet50_v1b 76.818 77.664 23.182 22.336 93.278 93.674 6.722 6.326 6.54 25.56 224 0.875 bicubic
220 hrnet_w18 tv_resnext50_32x4d 76.764 77.628 23.236 22.372 93.442 93.680 6.558 6.320 21.30 25.03 224 0.875 bilinear
221 resnet26d legacy_seresnet50 76.688 77.612 23.312 22.388 93.146 93.796 6.854 6.204 16.01 28.09 224 0.875 bicubic bilinear
222 tf_efficientnet_lite1 efficientnet_b0 76.666 77.610 23.334 22.390 93.238 93.564 6.762 6.436 5.42 5.29 240 224 0.882 0.875 bicubic
223 densenetblur121d adv_inception_v3 76.586 77.562 23.414 22.438 93.196 93.686 6.804 6.314 8.00 23.83 224 299 0.875 bicubic
224 mobilenetv2_140 repvgg_b1g4 76.512 77.540 23.488 22.460 92.998 93.794 7.002 6.206 6.11 39.97 224 0.875 bicubic bilinear
225 regnety_008 res2net50_48w_2s 76.320 77.518 23.680 22.482 93.068 93.582 6.932 6.418 6.26 25.29 224 0.875 bicubic bilinear
226 dpn68 seresnext26d_32x4d 76.312 77.518 23.688 22.482 92.968 93.606 7.032 6.394 12.61 16.81 224 0.875 bicubic
227 tv_resnet50 tf_efficientnet_lite2 76.158 77.440 23.842 22.560 92.878 93.762 7.122 6.238 25.56 6.09 224 260 0.875 0.890 bilinear bicubic
228 mixnet_s inception_v3 75.994 77.410 24.006 22.590 92.790 93.474 7.210 6.526 4.13 23.83 224 299 0.875 bicubic
229 densenet169 densenet161 75.898 77.338 24.102 22.662 93.022 93.688 6.978 6.312 14.15 28.68 224 0.875 bicubic
230 mobilenetv3_large_100 mobilenetv2_120d 75.774 77.328 24.226 22.672 92.538 93.478 7.462 6.522 5.48 5.83 224 0.875 bicubic
231 tf_mixnet_s densenet201 75.682 77.320 24.318 22.680 92.638 93.482 7.362 6.518 4.13 20.01 224 0.875 bicubic
232 mobilenetv3_rw tv_resnet101 75.620 77.314 24.380 22.686 92.712 93.556 7.288 6.444 5.48 44.55 224 0.875 bicubic bilinear
233 densenet121 tf_efficientnet_cc_b0_4e 75.564 77.296 24.436 22.704 92.648 93.360 7.352 6.640 7.98 13.31 224 0.875 bicubic
234 resnest14d mixnet_m 75.514 77.176 24.486 22.824 92.518 93.426 7.482 6.574 10.61 5.01 224 0.875 bilinear bicubic
235 tf_mobilenetv3_large_100 legacy_seresnext26_32x4d 75.510 77.116 24.490 22.884 92.610 93.358 7.390 6.642 5.48 16.79 224 0.875 bilinear bicubic
236 efficientnet_lite0 selecsls42b 75.502 77.096 24.498 22.904 92.514 93.424 7.486 6.576 4.65 32.46 224 0.875 bicubic
237 semnasnet_100 resnet34d 75.452 77.096 24.548 22.904 92.610 93.392 7.390 6.608 3.89 21.82 224 0.875 bicubic
238 resnet26 tf_efficientnet_b0_ap 75.290 77.072 24.710 22.928 92.566 93.262 7.434 6.738 16.00 5.29 224 0.875 bicubic
239 regnety_006 tf_mixnet_m 75.268 76.964 24.732 23.036 92.530 93.212 7.470 6.788 6.06 5.01 224 0.875 bicubic
240 fbnetc_100 dla60 75.116 76.924 24.884 23.076 92.374 93.290 7.626 6.710 5.57 22.04 224 0.875 bilinear
241 hrnet_w18_small_v2 regnetx_016 75.108 76.914 24.892 23.086 92.412 93.372 7.588 6.628 15.60 9.19 224 0.875 bilinear bicubic
242 resnet34 skresnet34 75.106 76.910 24.894 23.090 92.276 93.272 7.724 6.728 21.80 22.28 224 0.875 bilinear bicubic
243 regnetx_008 gernet_s 75.052 76.874 24.948 23.126 92.342 93.128 7.658 6.872 7.26 8.17 224 0.875 bicubic bilinear
244 mobilenetv2_110d hrnet_w18 75.048 76.832 24.952 23.168 92.190 93.404 7.810 6.596 4.52 21.30 224 0.875 bicubic bilinear
245 tf_efficientnet_lite0 tf_efficientnet_b0 74.832 76.830 25.168 23.170 92.174 93.272 7.826 6.728 4.65 5.29 224 0.875 bicubic
246 legacy_seresnet34 ese_vovnet19b_dw 74.790 76.772 25.210 23.228 92.126 93.276 7.874 6.724 21.96 6.54 224 0.875 bilinear bicubic
247 tv_densenet121 tf_efficientnet_lite1 74.742 76.628 25.258 23.372 92.154 93.248 7.846 6.752 7.98 5.42 224 240 0.875 0.882 bicubic
248 mnasnet_100 resnet26d 74.670 76.600 25.330 23.400 92.102 93.188 7.898 6.812 4.38 16.01 224 0.875 bicubic
249 dla34 tf_efficientnet_es 74.624 76.562 25.376 23.438 92.062 93.184 7.938 6.816 15.74 5.44 224 0.875 bilinear bicubic
250 gluon_resnet34_v1b mobilenetv2_140 74.588 76.538 25.412 23.462 91.996 92.944 8.004 7.056 21.80 6.11 224 0.875 bicubic
251 spnasnet_100 repvgg_a2 74.080 76.488 25.920 23.512 91.820 93.022 8.180 6.978 4.42 28.21 224 0.875 bilinear
252 regnety_004 densenetblur121d 74.018 76.474 25.982 23.526 91.764 93.096 8.236 6.904 4.34 8.00 224 0.875 bicubic
253 regnetx_006 dpn68 73.844 76.378 26.156 23.622 91.678 92.978 8.322 7.022 6.20 12.61 224 0.875 bicubic
254 tf_mobilenetv3_large_075 regnety_008 73.448 76.324 26.552 23.676 91.342 93.100 8.658 6.900 3.99 6.26 224 0.875 bilinear bicubic
255 tv_resnet34 mixnet_s 73.304 76.062 26.696 23.938 91.424 92.826 8.576 7.174 21.80 4.13 224 0.875 bilinear bicubic
256 swsl_resnet18 tv_resnet50 73.280 76.012 26.720 23.988 91.758 92.934 8.242 7.066 11.69 25.56 224 0.875 bilinear
257 skresnet18 densenet169 73.026 75.950 26.974 24.050 91.172 92.994 8.828 7.006 11.96 14.15 224 0.875 bicubic
258 mobilenetv2_100 mobilenetv3_large_100 72.950 75.710 27.050 24.290 91.002 92.496 8.998 7.504 3.50 5.48 224 0.875 bicubic
259 ssl_resnet18 tf_mixnet_s 72.616 75.658 27.384 24.342 91.416 92.618 8.584 7.382 11.69 4.13 224 0.875 bilinear bicubic
260 regnetx_004 resnest14d 72.394 75.588 27.606 24.412 90.818 92.488 9.182 7.512 5.16 10.61 224 0.875 bicubic bilinear
261 hrnet_w18_small mobilenetv3_rw 72.336 75.542 27.664 24.458 90.684 92.676 9.316 7.324 13.19 5.48 224 0.875 bilinear bicubic
262 resnet18d densenet121 72.274 75.530 27.726 24.470 90.688 92.616 9.312 7.384 11.71 7.98 224 0.875 bicubic
263 tf_mobilenetv3_large_minimal_100 tf_mobilenetv3_large_100 72.244 75.520 27.756 24.480 90.636 92.550 9.364 7.450 3.92 5.48 224 0.875 bilinear
264 legacy_seresnet18 efficientnet_lite0 71.736 75.444 28.264 24.556 90.342 92.544 9.658 7.456 11.78 4.65 224 0.875 bicubic
265 gluon_resnet18_v1b semnasnet_100 70.838 75.426 29.162 24.574 89.758 92.548 10.242 7.452 11.69 3.89 224 0.875 bicubic
266 regnety_002 resnet26 70.278 75.394 29.722 24.606 89.546 92.584 10.454 7.416 3.16 16.00 224 0.875 bicubic
267 resnet18 repvgg_b0 69.742 75.214 30.258 24.786 89.086 92.454 10.914 7.546 11.69 15.82 224 0.875 bilinear
268 regnetx_002 regnety_006 68.754 75.206 31.246 24.794 88.560 92.560 11.440 7.440 2.68 6.06 224 0.875 bicubic
269 tf_mobilenetv3_small_100 hrnet_w18_small_v2 67.922 75.164 32.078 24.836 87.676 92.430 12.324 7.570 2.54 15.60 224 0.875 bilinear
270 dla60x_c resnet34 67.912 75.096 32.088 24.904 88.418 92.246 11.582 7.754 1.32 21.80 224 0.875 bilinear
271 dla46x_c fbnetc_100 65.976 75.082 34.024 24.918 86.988 92.354 13.012 7.646 1.07 5.57 224 0.875 bilinear
272 tf_mobilenetv3_small_075 mobilenetv2_110d 65.724 75.048 34.276 24.952 86.134 92.132 13.866 7.868 2.04 4.52 224 0.875 bilinear bicubic
273 dla46_c regnetx_008 64.870 75.026 35.130 24.974 86.294 92.332 13.706 7.668 1.30 7.26 224 0.875 bilinear bicubic
274 tf_mobilenetv3_small_minimal_100 legacy_seresnet34 62.910 74.912 37.090 25.088 84.244 92.164 15.756 7.836 2.04 21.96 224 0.875 bilinear
275 inception_v4 tf_efficientnet_lite0 1.008 74.868 98.992 25.132 16.854 92.130 83.146 7.870 42.68 4.65 299 224 0.875 bicubic
276 ens_adv_inception_resnet_v2 tv_densenet121 0.998 74.746 99.002 25.254 17.324 92.130 82.676 7.870 55.85 7.98 299 224 0.897 0.875 bicubic
277 pnasnet5large mnasnet_100 0.984 74.692 99.016 25.308 18.576 92.140 81.424 7.860 86.06 4.38 331 224 0.911 0.875 bicubic
278 inception_resnet_v2 dla34 0.950 74.636 99.050 25.364 17.294 92.122 82.706 7.878 55.85 15.74 299 224 0.897 0.875 bicubic bilinear
279 gluon_resnet34_v1b 74.496 25.504 92.008 7.992 21.80 224 0.875 bicubic
280 vit_deit_tiny_distilled_patch16_224 74.494 25.506 91.884 8.116 5.91 224 0.900 bicubic
281 vgg19_bn 74.216 25.784 91.848 8.152 143.68 224 0.875 bilinear
282 spnasnet_100 74.120 25.880 91.882 8.118 4.42 224 0.875 bilinear
283 regnetx_006 73.962 26.038 91.684 8.316 6.20 224 0.875 bicubic
284 regnety_004 73.942 26.058 91.754 8.246 4.34 224 0.875 bicubic
285 vgg16_bn 73.476 26.524 91.536 8.464 138.37 224 0.875 bilinear
286 tf_mobilenetv3_large_075 73.372 26.628 91.404 8.596 3.99 224 0.875 bilinear
287 swsl_resnet18 73.318 26.682 91.752 8.248 11.69 224 0.875 bilinear
288 tv_resnet34 73.266 26.734 91.430 8.570 21.80 224 0.875 bilinear
289 skresnet18 73.000 27.000 91.156 8.844 11.96 224 0.875 bicubic
290 mobilenetv2_100 72.956 27.044 91.042 8.958 3.50 224 0.875 bicubic
291 regnetx_004 72.536 27.464 90.842 9.158 5.16 224 0.875 bicubic
292 ssl_resnet18 72.492 27.508 91.442 8.558 11.69 224 0.875 bilinear
293 resnet18d 72.380 27.620 90.710 9.290 11.71 224 0.875 bicubic
294 vgg19 72.360 27.640 90.850 9.150 143.67 224 0.875 bilinear
295 hrnet_w18_small 72.276 27.724 90.586 9.414 13.19 224 0.875 bilinear
296 tf_mobilenetv3_large_minimal_100 72.228 27.772 90.682 9.318 3.92 224 0.875 bilinear
297 vit_deit_tiny_patch16_224 72.196 27.804 91.092 8.908 5.72 224 0.900 bicubic
298 legacy_seresnet18 71.752 28.248 90.308 9.692 11.78 224 0.875 bicubic
299 vgg16 71.628 28.372 90.368 9.632 138.36 224 0.875 bilinear
300 vgg13_bn 71.618 28.382 90.360 9.640 133.05 224 0.875 bilinear
301 gluon_resnet18_v1b 70.922 29.078 89.770 10.230 11.69 224 0.875 bicubic
302 vgg11_bn 70.408 29.592 89.724 10.276 132.87 224 0.875 bilinear
303 regnety_002 70.326 29.674 89.556 10.444 3.16 224 0.875 bicubic
304 vgg13 69.984 30.016 89.306 10.694 133.05 224 0.875 bilinear
305 resnet18 69.644 30.356 88.982 11.018 11.69 224 0.875 bilinear
306 vgg11 68.872 31.128 88.658 11.342 132.86 224 0.875 bilinear
307 regnetx_002 68.830 31.170 88.510 11.490 2.68 224 0.875 bicubic
308 dla60x_c 67.952 32.048 88.438 11.562 1.32 224 0.875 bilinear
309 tf_mobilenetv3_small_100 67.876 32.124 87.682 12.318 2.54 224 0.875 bilinear
310 dla46x_c 65.930 34.070 87.004 12.996 1.07 224 0.875 bilinear
311 tf_mobilenetv3_small_075 65.732 34.268 86.168 13.832 2.04 224 0.875 bilinear
312 dla46_c 64.930 35.070 86.308 13.692 1.30 224 0.875 bilinear
313 tf_mobilenetv3_small_minimal_100 62.744 37.256 84.380 15.620 2.04 224 0.875 bilinear

589
results/results-imagenetv2-matched-frequency.csv
Unescape View File

@ -1,278 +1,313 @@
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_475,80.500,19.500,95.630,4.370,480.31,475,0.936,bicubic,-3.240,-1.140,-1 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,80.100,19.900,95.860,4.140,480.31,800,0.960,bicubic,-4.264,-1.180,-3 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_b7_ns,77.850,22.150,94.310,5.690,66.35,600,0.949,bicubic,-10.500,-4.346,-2 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_b6_ns,77.050,22.950,93.780,6.220,43.04,528,0.942,bicubic,-11.190,-4.770,-2 tf_efficientnet_b6_ns,77.030,22.970,93.790,6.210,43.04,528,0.942,bicubic,-9.432,-4.088,0
ig_resnext101_32x48d,76.770,23.230,93.420,6.580,828.41,224,0.875,bilinear,-9.678,-4.460,-1 ig_resnext101_32x32d,76.800,23.200,93.230,6.770,468.53,224,0.875,bilinear,-8.346,-4.226,+11
ig_resnext101_32x32d,76.730,23.270,93.190,6.810,468.53,224,0.875,bilinear,-8.420,-4.280,+4 tf_efficientnet_b5_ns,76.730,23.270,93.480,6.520,30.39,456,0.934,bicubic,-9.342,-4.268,0
tf_efficientnet_b5_ns,76.700,23.300,93.510,6.490,30.39,456,0.934,bicubic,-10.128,-4.574,-4 ig_resnext101_32x48d,76.650,23.350,93.420,6.580,828.41,224,0.875,bilinear,-8.852,-4.128,+3
tf_efficientnet_b7_ap,75.990,24.010,92.920,7.080,66.35,600,0.949,bicubic,-9.176,-4.442,+1 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_b8_ap,75.960,24.040,92.650,7.350,87.41,672,0.954,bicubic,-10.118,-5.102,-4 tf_efficientnet_b8_ap,75.950,24.050,92.670,7.330,87.41,672,0.954,bicubic,-9.434,-4.628,+4
ig_resnext101_32x16d,75.690,24.310,92.930,7.070,194.03,224,0.875,bilinear,-8.512,-4.288,+12 dm_nfnet_f6,75.770,24.230,92.970,7.030,438.36,576,0.956,bicubic,-10.536,-4.772,-5
tf_efficientnet_b4_ns,75.500,24.500,92.860,7.140,19.34,380,0.922,bicubic,-9.850,-4.530,-3 ig_resnext101_32x16d,75.690,24.310,92.910,7.090,194.03,224,0.875,bilinear,-8.478,-4.286,+21
swsl_resnext101_32x8d,75.480,24.520,92.690,7.310,88.79,224,0.875,bilinear,-8.902,-4.676,+7 tf_efficientnet_b4_ns,75.490,24.510,92.940,7.060,19.34,380,0.922,bicubic,-9.704,-4.560,+2
vit_base_resnet50_384,75.400,24.600,92.750,7.250,98.95,384,1.000,bicubic,-9.720,-4.500,-2 swsl_resnext101_32x8d,75.460,24.540,92.720,7.280,88.79,224,0.875,bilinear,-8.872,-4.434,+16
tf_efficientnet_b6_ap,75.370,24.630,92.300,7.700,43.04,528,0.942,bicubic,-9.578,-5.150,0 vit_base_resnet50_384,75.430,24.570,92.700,7.300,98.95,384,1.000,bicubic,-9.564,-4.594,+4
vit_large_patch16_384,74.780,25.220,92.580,7.420,304.72,384,1.000,bicubic,-10.594,-4.718,-8 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
tf_efficientnet_b8,74.540,25.460,92.180,7.820,87.41,672,0.954,bicubic,-10.884,-5.398,-10 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_b7,74.450,25.550,92.120,7.880,66.35,600,0.949,bicubic,-10.536,-5.176,-4 dm_nfnet_f4,75.230,24.770,92.640,7.360,316.07,512,0.951,bicubic,-10.496,-4.878,-10
tf_efficientnet_b5_ap,74.340,25.660,91.940,8.060,30.39,456,0.934,bicubic,-9.930,-5.230,+2 dm_nfnet_f3,75.160,24.840,92.710,7.290,254.92,416,0.940,bicubic,-10.422,-4.680,-9
resnest200e,74.230,25.770,91.860,8.140,70.20,320,0.909,bicubic,-9.738,-4.958,+7 ecaresnet269d,74.850,25.150,92.760,7.240,102.09,352,1.000,bicubic,-10.076,-4.476,+2
seresnet152d_320,74.110,25.890,91.920,8.080,66.84,320,1.000,bicubic,-10.294,-5.514,+19 vit_large_patch16_384,74.800,25.200,92.610,7.390,304.72,384,1.000,bicubic,-10.370,-4.734,-5
swsl_resnext101_32x4d,73.980,26.020,91.970,8.030,44.18,224,0.875,bilinear,-9.242,-4.798,+14 dm_nfnet_f5,74.630,25.370,92.370,7.630,377.21,544,0.954,bicubic,-11.090,-5.066,-13
resnest269e,73.910,26.090,91.990,8.010,110.93,416,0.928,bicubic,-11.024,-5.214,-6 tf_efficientnet_b8,74.530,25.470,92.200,7.800,87.41,672,0.954,bicubic,-10.854,-5.200,-10
tf_efficientnet_b6,73.910,26.090,91.730,8.270,43.04,528,0.942,bicubic,-10.254,-5.464,+1 tf_efficientnet_b7,74.430,25.570,92.130,7.870,66.35,600,0.949,bicubic,-10.506,-5.078,-3
tf_efficientnet_b3_ns,73.770,26.230,91.850,8.150,12.23,300,0.904,bicubic,-10.344,-5.038,+1 dm_nfnet_f1,74.380,25.620,92.320,7.680,132.63,320,0.910,bicubic,-10.214,-4.760,0
vit_base_patch16_384,73.710,26.290,92.080,7.920,86.86,384,1.000,bicubic,-10.544,-4.894,-3 tf_efficientnet_b5_ap,74.380,25.620,91.940,8.060,30.39,456,0.934,bicubic,-9.880,-5.034,+5
ig_resnext101_32x8d,73.690,26.310,92.190,7.810,88.79,224,0.875,bilinear,-9.006,-4.454,+16 dm_nfnet_f2,74.340,25.660,92.060,7.940,193.78,352,0.920,bicubic,-10.628,-5.064,-7
swsl_resnext101_32x16d,73.680,26.320,92.140,7.860,194.03,224,0.875,bilinear,-9.664,-4.700,+5 resnest200e,74.260,25.740,91.860,8.140,70.20,320,0.909,bicubic,-9.580,-4.998,+9
seresnet152d,73.330,26.670,91.500,8.500,66.84,256,0.940,bicubic,-10.422,-5.620,+29 seresnet152d,74.190,25.810,91.960,8.040,66.84,320,1.000,bicubic,-10.160,-5.082,0
resnet200d_320,73.320,26.680,91.470,8.530,64.69,320,1.000,bicubic,-10.724,-5.440,-2 swsl_resnext101_32x4d,74.060,25.940,92.010,7.990,44.18,224,0.875,bilinear,-9.192,-4.758,+14
tf_efficientnet_b5,73.290,26.710,91.370,8.630,30.39,456,0.934,bicubic,-10.562,-5.520,-1 resnest269e,73.990,26.010,91.980,8.020,110.93,416,0.928,bicubic,-10.528,-5.022,-5
resnet152d_320,73.270,26.730,91.210,8.790,60.21,320,1.000,bicubic,-10.396,-5.524,+1 tf_efficientnet_b6,73.950,26.050,91.730,8.270,43.04,528,0.942,bicubic,-10.172,-5.160,+2
resnetv2_152x4_bitm,73.120,26.880,91.790,8.210,936.53,480,1.000,bilinear,-11.970,-5.650,-18 tf_efficientnet_b3_ns,73.760,26.240,91.810,8.190,12.23,300,0.904,bicubic,-10.252,-5.100,+2
resnetv2_152x2_bitm,72.820,27.180,92.040,7.960,236.34,480,1.000,bilinear,-11.966,-5.098,-15 ig_resnext101_32x8d,73.720,26.280,92.100,7.900,88.79,224,0.875,bilinear,-8.940,-4.584,+19
resnet200d,72.780,27.220,90.930,9.070,64.69,256,0.940,bicubic,-10.462,-5.558,+1 swsl_resnext101_32x16d,73.700,26.300,92.120,7.880,194.03,224,0.875,bilinear,-9.764,-4.746,+6
tf_efficientnet_b4_ap,72.740,27.260,90.990,9.010,19.34,380,0.922,bicubic,-10.516,-5.404,-1 vit_base_patch16_384,73.620,26.380,92.100,7.900,86.86,384,1.000,bicubic,-10.592,-5.116,-4
resnetv2_101x3_bitm,72.490,27.510,91.830,8.170,387.93,480,1.000,bilinear,-12.036,-5.156,-17 resnet200d,73.450,26.550,91.490,8.510,64.69,320,1.000,bicubic,-10.550,-5.334,-1
swsl_resnext50_32x4d,72.440,27.560,90.880,9.120,25.03,224,0.875,bilinear,-9.732,-5.352,+14 tf_efficientnet_b5,73.250,26.750,91.350,8.650,30.39,456,0.934,bicubic,-10.570,-5.410,0
resnet101d_320,72.370,27.630,90.580,9.420,44.57,320,1.000,bicubic,-10.654,-5.876,+3 resnet152d,73.240,26.760,91.190,8.810,60.21,320,1.000,bicubic,-10.424,-5.536,+1
nasnetalarge,72.340,27.660,90.520,9.480,88.75,331,0.911,bicubic,-10.286,-5.530,+5 resnetv2_152x4_bitm,73.160,26.840,91.810,8.190,936.53,480,1.000,bilinear,-11.756,-5.634,-17
resnest101e,72.320,27.680,90.780,9.220,48.28,256,0.875,bilinear,-10.558,-5.534,+2 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_b2_ns,72.320,27.680,90.990,9.010,9.11,260,0.890,bicubic,-10.072,-5.248,+4 resnetv2_152x2_bitm,72.840,27.160,92.040,7.960,236.34,480,1.000,bilinear,-11.588,-5.412,-15
resnet152d,72.310,27.690,90.710,9.290,60.21,256,0.940,bicubic,-10.824,-5.640,-5 tf_efficientnet_b4_ap,72.770,27.230,91.000,9.000,19.34,380,0.922,bicubic,-10.454,-5.366,+2
tresnet_xl_448,72.170,27.830,90.130,9.870,78.44,448,0.875,bilinear,-10.886,-6.056,-4 dm_nfnet_f0,72.590,27.410,91.010,8.990,71.49,256,0.900,bicubic,-10.780,-5.548,-1
tf_efficientnet_b4,72.150,27.850,90.480,9.520,19.34,380,0.922,bicubic,-10.876,-5.818,-4 pnasnet5large,72.550,27.450,90.510,9.490,86.06,331,0.911,bicubic,-10.236,-5.566,+7
vit_large_patch16_224,71.820,28.180,90.820,9.180,304.33,224,0.900,bicubic,-11.240,-5.624,-7 nasnetalarge,72.470,27.530,90.500,9.500,88.75,331,0.911,bicubic,-10.170,-5.552,+8
swsl_resnet50,71.650,28.350,90.520,9.480,25.56,224,0.875,bilinear,-9.486,-5.454,+24 resnetv2_101x3_bitm,72.460,27.540,91.820,8.180,387.93,480,1.000,bilinear,-11.932,-5.538,-19
efficientnet_b3,71.540,28.460,90.070,9.930,12.23,300,0.904,bicubic,-10.542,-5.956,+5 vit_deit_base_patch16_384,72.430,27.570,90.200,9.800,86.86,384,1.000,bicubic,-10.662,-6.152,-2
tresnet_l_448,71.500,28.500,89.950,10.050,55.99,448,0.875,bilinear,-10.760,-6.028,-1 swsl_resnext50_32x4d,72.370,27.630,90.980,9.020,25.03,224,0.875,bilinear,-9.816,-5.284,+11
resnetv2_50x3_bitm,71.480,28.520,91.360,8.640,217.32,480,1.000,bilinear,-12.328,-5.386,-19 tf_efficientnet_b2_ns,72.370,27.630,90.970,9.030,9.11,260,0.890,bicubic,-9.996,-5.290,+5
tresnet_xl,71.480,28.520,89.460,10.540,78.44,224,0.875,bilinear,-10.574,-6.472,+3 resnet101d,72.360,27.640,90.560,9.440,44.57,320,1.000,bicubic,-10.640,-5.900,-2
ssl_resnext101_32x8d,71.470,28.530,90.330,9.670,88.79,224,0.875,bilinear,-10.136,-5.714,+11 resnest101e,72.350,27.650,90.690,9.310,48.28,256,0.875,bilinear,-10.474,-5.620,-1
efficientnet_b3a,71.460,28.540,90.020,9.980,12.23,320,1.000,bicubic,-10.794,-6.094,-4 tresnet_xl_448,72.160,27.840,90.110,9.890,78.44,448,0.875,bilinear,-10.882,-6.072,-5
resnet101d,71.400,28.600,90.150,9.850,44.57,256,0.940,bicubic,-10.910,-5.914,-7 tf_efficientnet_b4,72.150,27.850,90.510,9.490,19.34,380,0.922,bicubic,-10.824,-5.782,-4
ecaresnet101d,71.240,28.760,90.240,9.760,44.57,224,0.875,bicubic,-10.936,-5.816,-4 vit_large_patch16_224,71.780,28.220,90.840,9.160,304.33,224,0.900,bicubic,-11.280,-5.584,-8
ssl_resnext101_32x16d,71.170,28.830,90.460,9.540,194.03,224,0.875,bilinear,-10.668,-5.632,0 swsl_resnet50,71.610,28.390,90.590,9.410,25.56,224,0.875,bilinear,-9.514,-5.398,+29
vit_base_patch32_384,71.120,28.880,90.520,9.480,88.30,384,1.000,bicubic,-10.536,-5.610,+3 efficientnet_b3,71.540,28.460,90.110,9.890,12.23,300,0.904,bicubic,-10.492,-5.926,+6
regnety_032,71.070,28.930,90.250,9.750,19.44,224,0.875,bicubic,-10.938,-5.662,-3 efficientnet_b3a,71.520,28.480,89.990,10.010,12.23,320,1.000,bicubic,-10.712,-6.136,0
vit_base_patch16_224,71.030,28.970,90.420,9.580,86.57,224,0.900,bicubic,-10.754,-5.706,-1 tresnet_l_448,71.470,28.530,89.940,10.060,55.99,448,0.875,bilinear,-10.820,-6.038,-2
tf_efficientnet_b3_ap,71.010,28.990,89.220,10.780,12.23,300,0.904,bicubic,-10.812,-6.400,-3 resnetv2_50x3_bitm,71.460,28.540,91.380,8.620,217.32,480,1.000,bilinear,-12.340,-5.730,-21
rexnet_200,70.840,29.160,89.800,10.200,16.37,224,0.875,bicubic,-10.786,-5.872,+1 ssl_resnext101_32x8d,71.410,28.590,90.400,9.600,88.79,224,0.875,bilinear,-10.190,-5.622,+12
resnest50d_4s2x40d,70.800,29.200,89.520,10.480,30.42,224,0.875,bicubic,-10.314,-6.034,+10 tresnet_xl,71.370,28.630,89.490,10.510,78.44,224,0.875,bilinear,-10.796,-6.444,-1
tresnet_m_448,70.780,29.220,88.690,11.310,31.39,448,0.875,bilinear,-10.938,-6.876,-4 ecaresnet50t,71.200,28.800,90.390,9.610,25.57,320,0.950,bicubic,-11.148,-5.754,-7
wide_resnet50_2,70.690,29.310,89.110,10.890,68.88,224,0.875,bicubic,-10.762,-6.412,+2 ecaresnet101d,71.160,28.840,90.230,9.770,44.57,224,0.875,bicubic,-10.958,-5.810,-2
tresnet_l,70.670,29.330,89.640,10.360,55.99,224,0.875,bilinear,-10.816,-5.980,0 regnety_032,71.110,28.890,90.310,9.690,19.44,224,0.875,bicubic,-10.906,-5.622,-1
tf_efficientnet_b1_ns,70.630,29.370,89.930,10.070,7.79,240,0.882,bicubic,-10.756,-5.810,+1 ssl_resnext101_32x16d,71.110,28.890,90.420,9.580,194.03,224,0.875,bilinear,-10.736,-5.712,0
legacy_senet154,70.490,29.510,88.960,11.040,115.09,224,0.875,bilinear,-10.836,-6.548,+1 vit_base_patch32_384,71.090,28.910,90.460,9.540,88.30,384,1.000,bicubic,-10.574,-5.668,+4
gluon_seresnext101_64x4d,70.460,29.540,89.180,10.820,88.23,224,0.875,bicubic,-10.424,-6.134,+9 vit_deit_base_patch16_224,71.030,28.970,89.180,10.820,86.57,224,0.900,bicubic,-10.964,-6.558,-3
seresnext50_32x4d,70.450,29.550,89.130,10.870,27.56,224,0.875,bicubic,-10.824,-6.488,0 vit_base_patch16_224,70.990,29.010,90.410,9.590,86.57,224,0.900,bicubic,-10.790,-5.702,-1
tf_efficientnet_b3,70.400,29.600,89.270,10.730,12.23,300,0.904,bicubic,-11.246,-6.452,-9 tf_efficientnet_b3_ap,70.930,29.070,89.220,10.780,12.23,300,0.904,bicubic,-10.872,-6.380,-3
ssl_resnext101_32x4d,70.370,29.630,89.810,10.190,44.18,224,0.875,bilinear,-10.544,-5.924,+5 vit_large_patch32_384,70.820,29.180,90.460,9.540,306.63,384,1.000,bicubic,-10.686,-5.648,+4
gluon_senet154,70.350,29.650,88.970,11.030,115.09,224,0.875,bicubic,-10.878,-6.382,-2 rexnet_200,70.770,29.230,89.690,10.310,16.37,224,0.875,bicubic,-10.918,-6.000,-2
resnest50d_1s4x24d,70.350,29.650,89.140,10.860,25.68,224,0.875,bicubic,-10.654,-6.186,+1 tresnet_m_448,70.740,29.260,88.670,11.330,31.39,448,0.875,bilinear,-10.952,-6.890,-4
resnetv2_101x1_bitm,70.320,29.680,90.640,9.360,44.54,480,1.000,bilinear,-11.894,-5.832,-24 tf_efficientnet_b1_ns,70.700,29.300,89.880,10.120,7.79,240,0.882,bicubic,-10.698,-5.850,+3
resnest50d,70.250,29.750,88.620,11.380,27.48,224,0.875,bilinear,-10.708,-6.758,0 resnest50d_4s2x40d,70.670,29.330,89.430,10.570,30.42,224,0.875,bicubic,-10.478,-6.122,+9
tf_efficientnet_lite4,70.200,29.800,89.030,10.970,13.01,380,0.920,bilinear,-11.336,-6.630,-12 wide_resnet50_2,70.670,29.330,89.160,10.840,68.88,224,0.875,bicubic,-10.636,-6.428,+4
gluon_resnet152_v1s,70.120,29.880,88.890,11.110,60.32,224,0.875,bicubic,-10.898,-6.530,-4 tresnet_l,70.600,29.400,89.610,10.390,55.99,224,0.875,bilinear,-10.890,-5.974,-1
gluon_seresnext101_32x4d,69.910,30.090,88.850,11.150,48.96,224,0.875,bicubic,-10.962,-6.442,0 legacy_senet154,70.500,29.500,88.910,11.090,115.09,224,0.875,bilinear,-10.822,-6.544,+1
regnety_320,69.870,30.130,88.760,11.240,145.05,224,0.875,bicubic,-10.928,-6.486,+3 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
gluon_resnet152_v1d,69.810,30.190,88.500,11.500,60.21,224,0.875,bicubic,-10.668,-6.700,+7 tf_efficientnet_b3,70.440,29.560,89.280,10.720,12.23,300,0.904,bicubic,-11.186,-6.426,-8
ecaresnet101d_pruned,69.700,30.300,89.330,10.670,24.88,224,0.875,bicubic,-11.116,-6.308,-1 gluon_seresnext101_64x4d,70.420,29.580,89.350,10.650,88.23,224,0.875,bicubic,-10.432,-5.986,+11
tresnet_m,69.670,30.330,87.960,12.040,31.39,224,0.875,bilinear,-11.134,-6.898,-1 ssl_resnext101_32x4d,70.370,29.630,89.910,10.090,44.18,224,0.875,bilinear,-10.654,-5.838,+4
ssl_resnext50_32x4d,69.600,30.400,89.320,10.680,25.03,224,0.875,bilinear,-10.702,-6.092,+13 gluon_senet154,70.360,29.640,88.890,11.110,115.09,224,0.875,bicubic,-10.856,-6.430,0
ecaresnet50d,69.570,30.430,89.290,10.710,25.58,224,0.875,bicubic,-11.044,-6.018,0 resnest50d_1s4x24d,70.360,29.640,89.210,10.790,25.68,224,0.875,bicubic,-10.578,-6.108,+5
efficientnet_b3_pruned,69.530,30.470,88.770,11.230,9.86,300,0.904,bicubic,-11.328,-6.470,-6 gernet_l,70.350,29.650,89.060,10.940,31.08,256,0.875,bilinear,-10.994,-6.480,-7
gluon_resnext101_64x4d,69.490,30.510,88.260,11.740,83.46,224,0.875,bicubic,-11.140,-6.738,-3 resnetv2_101x1_bitm,70.340,29.660,90.640,9.360,44.54,480,1.000,bilinear,-11.868,-5.820,-27
regnetx_320,69.440,30.560,88.140,11.860,107.81,224,0.875,bicubic,-10.814,-6.890,+14 resnest50d,70.300,29.700,88.670,11.330,27.48,224,0.875,bilinear,-10.670,-6.680,+1
rexnet_150,69.410,30.590,88.970,11.030,9.73,224,0.875,bicubic,-10.900,-6.192,+7 seresnext50_32x4d,70.200,29.800,89.130,10.870,27.56,224,0.875,bicubic,-11.070,-6.526,-7
efficientnet_b2a,69.400,30.600,88.650,11.350,9.11,288,1.000,bicubic,-11.214,-6.668,-4 gluon_resnet152_v1s,70.180,29.820,88.820,11.180,60.32,224,0.875,bicubic,-10.840,-6.606,-2
ecaresnetlight,69.330,30.670,89.210,10.790,30.16,224,0.875,bicubic,-11.128,-6.040,-1 tf_efficientnet_lite4,70.170,29.830,89.180,10.820,13.01,380,0.920,bilinear,-11.346,-6.444,-16
xception71,69.270,30.730,88.170,11.830,42.34,299,0.903,bicubic,-10.614,-6.762,+22 repvgg_b3,69.980,30.020,88.730,11.270,123.09,224,0.875,bilinear,-10.460,-6.464,+14
resnet50d,69.170,30.830,88.140,11.860,25.58,224,0.875,bicubic,-11.378,-7.018,-6 inception_resnet_v2,69.920,30.080,88.680,11.320,55.84,299,0.897,bicubic,-10.528,-6.612,+12
mixnet_xl,69.060,30.940,88.360,11.640,11.90,224,0.875,bicubic,-11.414,-6.574,-5 regnety_320,69.910,30.090,88.780,11.220,145.05,224,0.875,bicubic,-10.872,-6.482,+1
legacy_seresnext101_32x4d,69.040,30.960,88.070,11.930,48.96,224,0.875,bilinear,-11.188,-6.950,+8 ecaresnet101d_pruned,69.810,30.190,89.420,10.580,24.88,224,0.875,bicubic,-11.076,-6.152,-4
regnety_120,68.990,31.010,88.180,11.820,51.82,224,0.875,bicubic,-11.388,-6.942,-2 gluon_seresnext101_32x4d,69.810,30.190,88.930,11.070,48.96,224,0.875,bicubic,-11.068,-6.344,-4
gluon_resnet152_v1c,68.960,31.040,87.650,12.350,60.21,224,0.875,bicubic,-10.954,-7.198,+15 gernet_m,69.650,30.350,88.450,11.550,21.14,224,0.875,bilinear,-11.080,-6.762,-1
efficientnet_b2,68.930,31.070,88.470,11.530,9.11,260,0.875,bicubic,-11.448,-6.608,-5 ecaresnet50d,69.600,30.400,89.240,10.760,25.58,224,0.875,bicubic,-11.014,-6.074,+2
gluon_resnext101_32x4d,68.880,31.120,88.310,11.690,44.18,224,0.875,bicubic,-11.454,-6.598,-4 ssl_resnext50_32x4d,69.580,30.420,89.480,10.520,25.03,224,0.875,bilinear,-10.752,-5.902,+13
hrnet_w64,68.840,31.160,88.160,11.840,128.06,224,0.875,bilinear,-10.622,-6.494,+31 tresnet_m,69.570,30.430,87.900,12.100,31.39,224,0.875,bilinear,-11.150,-6.956,-4
gluon_resnet152_v1b,68.800,31.200,87.560,12.440,60.19,224,0.875,bicubic,-10.892,-7.174,+22 repvgg_b3g4,69.570,30.430,88.570,11.430,83.83,224,0.875,bilinear,-10.668,-6.498,+20
tf_efficientnet_b2_ap,68.790,31.210,88.330,11.670,9.11,260,0.890,bicubic,-11.512,-6.702,-4 gluon_resnet152_v1d,69.550,30.450,88.410,11.590,60.21,224,0.875,bicubic,-10.930,-6.852,+1
gluon_resnet101_v1d,68.780,31.220,88.080,11.920,44.57,224,0.875,bicubic,-11.622,-6.940,-11 gluon_resnext101_64x4d,69.500,30.500,88.190,11.810,83.46,224,0.875,bicubic,-11.136,-6.800,-4
gluon_xception65,68.770,31.230,87.950,12.050,39.92,299,0.903,bicubic,-10.932,-6.918,+18 efficientnet_b3_pruned,69.450,30.550,88.740,11.260,9.86,300,0.904,bicubic,-11.370,-6.484,-10
seresnet50,68.760,31.240,88.530,11.470,28.09,224,0.875,bicubic,-11.498,-6.536,-5 efficientnet_b2a,69.420,30.580,88.630,11.370,9.11,288,1.000,bicubic,-11.188,-6.668,-4
xception65,68.760,31.240,88.250,11.750,39.92,299,0.903,bicubic,-10.790,-6.408,+21 regnetx_320,69.400,30.600,88.150,11.850,107.81,224,0.875,bicubic,-10.914,-6.918,+8
cspdarknet53,68.760,31.240,88.530,11.470,27.64,256,0.887,bilinear,-11.288,-6.562,+3 ens_adv_inception_resnet_v2,69.380,30.620,88.330,11.670,55.84,299,0.897,bicubic,-10.550,-6.620,+24
cspresnext50,68.720,31.280,88.030,11.970,20.57,224,0.875,bilinear,-11.326,-6.914,+1 ecaresnetlight,69.350,30.650,89.020,10.980,30.16,224,0.875,bicubic,-11.110,-6.182,-4
regnety_160,68.720,31.280,88.200,11.800,83.59,224,0.875,bicubic,-11.556,-6.768,-9 inception_v4,69.350,30.650,88.760,11.240,42.68,299,0.875,bicubic,-10.804,-6.202,+14
resnext50d_32x4d,68.670,31.330,88.230,11.770,25.05,224,0.875,bicubic,-10.998,-6.636,+14 nf_resnet50,69.350,30.650,88.710,11.290,25.56,288,0.940,bicubic,-11.316,-6.648,-12
dpn131,68.640,31.360,87.220,12.780,79.25,224,0.875,bicubic,-11.186,-7.492,+6 xception71,69.310,30.690,88.130,11.870,42.34,299,0.903,bicubic,-10.536,-6.806,+26
gluon_resnet101_v1s,68.640,31.360,87.720,12.280,44.67,224,0.875,bicubic,-11.646,-7.440,-13 rexnet_150,69.140,30.860,88.910,11.090,9.73,224,0.875,bicubic,-11.210,-6.292,-1
gluon_seresnext50_32x4d,68.570,31.430,88.140,11.860,27.56,224,0.875,bicubic,-11.354,-6.682,-2 mixnet_xl,69.090,30.910,88.330,11.670,11.90,224,0.875,bicubic,-11.334,-6.558,-5
regnetx_160,68.520,31.480,88.280,11.720,54.28,224,0.875,bicubic,-11.318,-6.544,+2 resnet50d,69.060,30.940,88.260,11.740,25.58,224,0.875,bicubic,-11.432,-6.868,-12
regnety_080,68.500,31.500,88.000,12.000,39.18,224,0.875,bicubic,-11.370,-6.830,0 regnety_120,69.040,30.960,88.210,11.790,51.82,224,0.875,bicubic,-11.334,-6.898,-5
tf_efficientnet_b2,68.460,31.540,88.020,11.980,9.11,260,0.890,bicubic,-11.612,-6.884,-9 legacy_seresnext101_32x4d,69.020,30.980,88.150,11.850,48.96,224,0.875,bilinear,-11.262,-6.874,+2
skresnext50_32x4d,68.440,31.560,87.610,12.390,27.48,224,0.875,bicubic,-11.706,-7.030,-11 seresnet50,69.020,30.980,88.470,11.530,28.09,224,0.875,bicubic,-11.272,-6.578,-1
dpn107,68.390,31.610,88.070,11.930,86.92,224,0.875,bicubic,-11.766,-6.840,-13 gluon_resnext101_32x4d,68.980,31.020,88.340,11.660,44.18,224,0.875,bicubic,-11.238,-6.568,+3
cspresnet50,68.380,31.620,87.950,12.050,21.62,256,0.887,bilinear,-11.194,-6.758,+8 efficientnet_b2,68.880,31.120,88.640,11.360,9.11,260,0.875,bicubic,-11.434,-6.472,-6
dla102x2,68.380,31.620,87.800,12.200,41.28,224,0.875,bilinear,-11.062,-6.846,+12 gluon_resnet152_v1c,68.870,31.130,87.890,12.110,60.21,224,0.875,bicubic,-10.980,-7.000,+16
resnext50_32x4d,68.360,31.640,87.570,12.430,25.03,224,0.875,bicubic,-11.430,-7.036,-2 gluon_xception65,68.810,31.190,88.000,12.000,39.92,299,0.903,bicubic,-10.946,-6.852,+20
ssl_resnet50,68.360,31.640,88.580,11.420,25.56,224,0.875,bilinear,-10.876,-6.250,+20 tf_efficientnet_b2_ap,68.800,31.200,88.260,11.740,9.11,260,0.890,bicubic,-11.440,-6.724,-3
regnety_064,68.350,31.650,88.030,11.970,30.58,224,0.875,bicubic,-11.382,-6.734,-3 repvgg_b2g4,68.780,31.220,88.220,11.780,61.76,224,0.875,bilinear,-10.624,-6.486,+32
dpn98,68.300,31.700,87.560,12.440,61.57,224,0.875,bicubic,-11.350,-7.046,+1 cspresnext50,68.770,31.230,88.030,11.970,20.57,224,0.875,bilinear,-11.236,-6.902,+5
regnetx_120,68.240,31.760,87.570,12.430,46.11,224,0.875,bicubic,-11.370,-7.162,+1 cspdarknet53,68.760,31.240,88.440,11.560,27.64,256,0.887,bilinear,-11.290,-6.636,+1
efficientnet_b2_pruned,68.220,31.780,88.070,11.930,8.31,260,0.890,bicubic,-11.686,-6.786,-13 resnext50d_32x4d,68.760,31.240,88.250,11.750,25.05,224,0.875,bicubic,-10.928,-6.594,+19
ese_vovnet39b,68.220,31.780,88.290,11.710,24.57,224,0.875,bicubic,-11.092,-6.432,+9 hrnet_w64,68.750,31.250,88.080,11.920,128.06,224,0.875,bilinear,-10.738,-6.558,+26
rexnet_130,68.220,31.780,88.010,11.990,7.56,224,0.875,bicubic,-11.274,-6.664,+2 xception65,68.690,31.310,88.230,11.770,39.92,299,0.903,bicubic,-10.902,-6.428,+20
tf_efficientnet_el,68.170,31.830,88.230,11.770,10.59,300,0.904,bicubic,-12.278,-6.940,-38 gluon_resnet152_v1b,68.670,31.330,87.630,12.370,60.19,224,0.875,bicubic,-10.964,-7.128,+18
ecaresnet50d_pruned,68.160,31.840,88.340,11.660,19.94,224,0.875,bicubic,-11.552,-6.536,-9 regnety_160,68.650,31.350,88.260,11.740,83.59,224,0.875,bicubic,-11.764,-6.720,-21
gluon_resnext50_32x4d,68.160,31.840,87.370,12.630,25.03,224,0.875,bicubic,-11.194,-7.054,+2 gluon_resnet101_v1s,68.630,31.370,87.790,12.210,44.67,224,0.875,bicubic,-11.666,-7.386,-16
regnetx_080,67.930,32.070,87.080,12.920,39.57,224,0.875,bicubic,-11.282,-7.474,+13 gluon_seresnext50_32x4d,68.600,31.400,88.070,11.930,27.56,224,0.875,bicubic,-11.348,-6.766,-2
tf_efficientnet_lite3,67.920,32.080,87.710,12.290,8.20,300,0.904,bilinear,-11.906,-7.198,-15 gluon_resnet101_v1d,68.590,31.410,88.000,12.000,44.57,224,0.875,bicubic,-11.840,-7.014,-26
legacy_seresnext50_32x4d,67.890,32.110,87.590,12.410,27.56,224,0.875,bilinear,-11.194,-6.844,+14 regnety_064,68.500,31.500,87.930,12.070,30.58,224,0.875,bicubic,-11.236,-6.828,+8
gluon_resnet50_v1d,67.880,32.120,86.940,13.060,25.58,224,0.875,bicubic,-11.184,-7.530,+15 regnety_080,68.500,31.500,87.990,12.010,39.18,224,0.875,bicubic,-11.340,-6.858,+3
hrnet_w48,67.800,32.200,87.370,12.630,77.47,224,0.875,bilinear,-11.516,-7.144,-1 vit_deit_small_patch16_224,68.480,31.520,88.220,11.780,22.05,224,0.900,bicubic,-11.388,-6.822,-2
resnext101_32x8d,67.750,32.250,87.360,12.640,88.79,224,0.875,bilinear,-11.554,-7.166,+1 dpn131,68.460,31.540,87.320,12.680,79.25,224,0.875,bicubic,-11.406,-7.406,-2
tf_efficientnet_b0_ns,67.720,32.280,87.940,12.060,5.29,224,0.875,bicubic,-10.940,-6.432,+27 resnext50_32x4d,68.450,31.550,87.590,12.410,25.03,224,0.875,bicubic,-11.272,-7.016,+5
hrnet_w44,67.700,32.300,87.510,12.490,67.06,224,0.875,bilinear,-11.190,-6.864,+16 dpn107,68.430,31.570,88.070,11.930,86.92,224,0.875,bicubic,-11.750,-6.836,-17
dla169,67.670,32.330,87.470,12.530,53.39,224,0.875,bilinear,-11.024,-6.860,+23 regnetx_160,68.410,31.590,88.280,11.720,54.28,224,0.875,bicubic,-11.474,-6.546,-8
regnetx_064,67.660,32.340,87.470,12.530,26.21,224,0.875,bicubic,-11.404,-6.990,+8 cspresnet50,68.410,31.590,88.060,11.940,21.62,256,0.887,bilinear,-11.172,-6.652,+9
regnety_040,67.620,32.380,87.390,12.610,20.65,224,0.875,bicubic,-11.612,-7.254,+1 skresnext50_32x4d,68.400,31.600,87.640,12.360,27.48,224,0.875,bicubic,-11.754,-7.062,-18
dpn92,67.580,32.420,87.290,12.710,37.67,224,0.875,bicubic,-12.410,-7.554,-33 dla102x2,68.380,31.620,87.840,12.160,41.28,224,0.875,bilinear,-11.048,-6.788,+11
efficientnet_em,67.560,32.440,88.120,11.880,6.90,240,0.882,bicubic,-11.704,-6.670,-3 tf_efficientnet_b2,68.360,31.640,88.000,12.000,9.11,260,0.890,bicubic,-11.664,-6.944,-16
xception,67.550,32.450,87.510,12.490,22.86,299,0.897,bicubic,-11.496,-6.886,+6 ecaresnet50d_pruned,68.350,31.650,88.290,11.710,19.94,224,0.875,bicubic,-11.326,-6.632,+1
gluon_inception_v3,67.540,32.460,87.250,12.750,23.83,299,0.875,bicubic,-11.260,-7.130,+12 efficientnet_b2_pruned,68.350,31.650,88.130,11.870,8.31,260,0.890,bicubic,-11.482,-6.676,-7
dpn68b,67.530,32.470,87.500,12.500,12.61,224,0.875,bicubic,-11.682,-6.922,-3 dpn98,68.310,31.690,87.590,12.410,61.57,224,0.875,bicubic,-11.378,-7.054,-3
legacy_seresnet152,67.510,32.490,87.470,12.530,66.82,224,0.875,bilinear,-11.156,-6.906,+16 ecaresnet26t,68.290,31.710,88.590,11.410,16.01,320,0.950,bicubic,-11.594,-6.482,-16
hrnet_w40,67.480,32.520,87.140,12.860,57.56,224,0.875,bilinear,-11.452,-7.338,+5 ese_vovnet39b,68.260,31.740,88.230,11.770,24.57,224,0.875,bicubic,-10.946,-6.498,+18
resnetblur50,67.460,32.540,87.570,12.430,25.56,224,0.875,bicubic,-11.826,-7.070,-11 regnetx_120,68.160,31.840,87.520,12.480,46.11,224,0.875,bicubic,-11.414,-7.172,0
resnet50,67.450,32.550,87.430,12.570,25.56,224,0.875,bicubic,-11.586,-6.962,+1 rexnet_130,68.150,31.850,88.090,11.910,7.56,224,0.875,bicubic,-11.366,-6.570,+1
resnetv2_50x1_bitm,67.440,32.560,89.100,10.900,25.55,480,1.000,bilinear,-12.752,-6.530,-48 ssl_resnet50,68.150,31.850,88.640,11.360,25.56,224,0.875,bilinear,-11.090,-6.274,+10
res2net50_26w_8s,67.430,32.570,87.140,12.860,48.40,224,0.875,bilinear,-11.762,-7.228,-6 tf_efficientnet_el,68.140,31.860,88.010,11.990,10.59,300,0.904,bicubic,-12.152,-7.110,-36
tf_efficientnet_b1_ap,67.430,32.570,87.540,12.460,7.79,240,0.882,bicubic,-11.846,-6.762,-14 gluon_resnext50_32x4d,68.090,31.910,87.380,12.620,25.03,224,0.875,bicubic,-11.230,-7.120,+4
tf_efficientnet_cc_b1_8e,67.380,32.620,87.280,12.720,39.72,240,0.882,bicubic,-11.946,-7.092,-21 tf_efficientnet_lite3,68.080,31.920,87.790,12.210,8.20,300,0.904,bilinear,-11.678,-7.074,-15
gluon_resnet101_v1b,67.360,32.640,87.050,12.950,44.55,224,0.875,bicubic,-11.944,-7.480,-19 gluon_resnet50_v1d,68.070,31.930,86.900,13.100,25.58,224,0.875,bicubic,-11.002,-7.578,+18
res2net101_26w_4s,67.350,32.650,87.170,12.830,45.21,224,0.875,bilinear,-11.844,-7.264,-11 regnetx_080,68.040,31.960,87.120,12.880,39.57,224,0.875,bicubic,-11.134,-7.436,+11
xception41,67.300,32.700,87.150,12.850,26.97,299,0.903,bicubic,-11.236,-7.134,+8 nf_regnet_b1,67.870,32.130,88.070,11.930,10.22,288,0.900,bicubic,-11.454,-6.702,-1
gluon_resnet101_v1c,67.300,32.700,87.060,12.940,44.57,224,0.875,bicubic,-12.232,-7.528,-29 legacy_seresnext50_32x4d,67.840,32.160,87.570,12.430,27.56,224,0.875,bilinear,-11.268,-6.908,+12
efficientnet_b1,67.250,32.750,86.970,13.030,7.79,240,0.875,bicubic,-11.456,-7.184,+1 hrnet_w48,67.840,32.160,87.470,12.530,77.47,224,0.875,bilinear,-11.396,-7.052,+4
regnetx_032,67.140,32.860,86.980,13.020,15.30,224,0.875,bicubic,-11.008,-7.108,+20 resnext101_32x8d,67.790,32.210,87.410,12.590,88.79,224,0.875,bilinear,-11.420,-7.146,+5
legacy_seresnet101,67.120,32.880,87.040,12.960,49.33,224,0.875,bilinear,-11.260,-7.222,+13 efficientnet_em,67.660,32.340,88.040,11.960,6.90,240,0.882,bicubic,-11.570,-6.752,+2
dla60_res2net,67.110,32.890,87.060,12.940,20.85,224,0.875,bilinear,-11.350,-7.146,+8 regnetx_064,67.660,32.340,87.290,12.710,26.21,224,0.875,bicubic,-11.418,-7.170,+10
resnest26d,67.110,32.890,87.130,12.870,17.07,224,0.875,bilinear,-11.370,-7.170,+6 tf_efficientnet_b0_ns,67.640,32.360,87.950,12.050,5.29,224,0.875,bicubic,-10.960,-6.438,+26
dla60x,67.080,32.920,87.190,12.810,17.35,224,0.875,bilinear,-11.170,-6.834,+12 legacy_seresnet152,67.630,32.370,87.420,12.580,66.82,224,0.875,bilinear,-11.014,-6.970,+22
dla102x,67.010,32.990,86.730,13.270,26.31,224,0.875,bilinear,-11.500,-7.500,+2 regnety_040,67.610,32.390,87.480,12.520,20.65,224,0.875,bicubic,-11.606,-7.182,-1
res2net50_26w_6s,66.950,33.050,86.810,13.190,37.05,224,0.875,bilinear,-11.616,-7.310,-1 res2net50_26w_8s,67.600,32.400,87.150,12.850,48.40,224,0.875,bilinear,-11.530,-7.254,+3
gluon_resnet50_v1s,66.940,33.060,86.790,13.210,25.68,224,0.875,bicubic,-11.760,-7.456,-6 dla169,67.560,32.440,87.570,12.430,53.39,224,0.875,bilinear,-11.172,-6.764,+18
mixnet_l,66.940,33.060,86.790,13.210,7.33,224,0.875,bicubic,-12.040,-7.392,-16 resnetblur50,67.550,32.450,87.440,12.560,25.56,224,0.875,bicubic,-11.712,-7.182,-9
tv_resnet152,66.920,33.080,87.450,12.550,60.19,224,0.875,bilinear,-11.400,-6.602,+6 hrnet_w44,67.550,32.450,87.570,12.430,67.06,224,0.875,bilinear,-11.336,-6.840,+11
tf_efficientnet_b1,66.810,33.190,86.920,13.080,7.79,240,0.882,bicubic,-12.034,-7.276,-14 dpn68b,67.540,32.460,87.430,12.570,12.61,224,0.875,bicubic,-11.600,-6.994,-2
dla60_res2next,66.710,33.290,86.940,13.060,17.03,224,0.875,bilinear,-11.734,-7.218,+1 gluon_inception_v3,67.540,32.460,87.150,12.850,23.83,299,0.875,bicubic,-11.290,-7.248,+11
gluon_resnet50_v1c,66.710,33.290,86.080,13.920,25.58,224,0.875,bicubic,-11.298,-7.908,+12 resnetv2_50x1_bitm,67.500,32.500,89.040,10.960,25.55,480,1.000,bilinear,-12.652,-6.604,-48
efficientnet_es,66.700,33.300,86.670,13.330,5.44,224,0.875,bicubic,-11.388,-7.262,+9 resnet50,67.460,32.540,87.510,12.490,25.56,224,0.875,bicubic,-11.544,-6.882,+2
hrnet_w30,66.700,33.300,86.730,13.270,37.71,224,0.875,bilinear,-11.506,-7.494,+5 xception,67.440,32.560,87.560,12.440,22.86,299,0.897,bicubic,-11.588,-6.810,0
regnetx_040,66.650,33.350,86.530,13.470,22.12,224,0.875,bicubic,-11.834,-7.722,-7 tf_efficientnet_b1_ap,67.430,32.570,87.520,12.480,7.79,240,0.882,bicubic,-11.860,-6.806,-17
hrnet_w32,66.640,33.360,87.180,12.820,41.23,224,0.875,bilinear,-11.806,-7.010,-5 tf_efficientnet_cc_b1_8e,67.410,32.590,87.270,12.730,39.72,240,0.882,bicubic,-11.878,-7.088,-17
selecsls60b,66.640,33.360,86.590,13.410,32.77,224,0.875,bicubic,-11.770,-7.588,-4 gluon_resnet101_v1c,67.400,32.600,87.120,12.880,44.57,224,0.875,bicubic,-12.150,-7.522,-27
tf_mixnet_l,66.620,33.380,86.390,13.610,7.33,224,0.875,bicubic,-12.156,-7.612,-20 dpn92,67.390,32.610,87.300,12.700,37.67,224,0.875,bicubic,-12.644,-7.518,-52
dla102,66.570,33.430,86.930,13.070,33.27,224,0.875,bilinear,-11.460,-7.022,+4 gluon_resnet101_v1b,67.380,32.620,86.960,13.040,44.55,224,0.875,bicubic,-11.980,-7.548,-24
wide_resnet101_2,66.550,33.450,87.010,12.990,126.89,224,0.875,bilinear,-12.304,-7.272,-25 hrnet_w40,67.340,32.660,87.230,12.770,57.56,224,0.875,bilinear,-11.566,-7.204,-2
tf_efficientnet_em,66.540,33.460,86.800,13.200,6.90,240,0.882,bicubic,-12.172,-7.528,-22 xception41,67.340,32.660,87.190,12.810,26.97,299,0.903,bicubic,-11.156,-7.066,+12
adv_inception_v3,66.360,33.640,86.380,13.620,23.83,299,0.875,bicubic,-11.222,-7.360,+16 res2net101_26w_4s,67.330,32.670,87.240,12.760,45.21,224,0.875,bilinear,-11.790,-7.192,-12
selecsls60,66.340,33.660,86.290,13.710,30.67,224,0.875,bicubic,-11.650,-7.538,+3 efficientnet_b1,67.280,32.720,87.040,12.960,7.79,240,0.875,bicubic,-11.324,-7.054,+4
tf_inception_v3,66.310,33.690,86.570,13.430,23.83,299,0.875,bicubic,-11.556,-7.076,+7 regnetx_032,67.090,32.910,87.050,12.950,15.30,224,0.875,bicubic,-11.058,-7.016,+20
efficientnet_b0,66.130,33.870,86.090,13.910,5.29,224,0.875,bicubic,-11.576,-7.432,+9 dla60_res2net,67.080,32.920,87.020,12.980,20.85,224,0.875,bilinear,-11.442,-7.232,+6
tf_efficientnet_cc_b0_8e,66.110,33.890,86.110,13.890,24.01,224,0.875,bicubic,-11.798,-7.542,+3 dla102x,67.080,32.920,86.730,13.270,26.31,224,0.875,bilinear,-11.448,-7.476,+4
legacy_seresnet50,66.090,33.910,86.290,13.710,28.09,224,0.875,bilinear,-11.546,-7.454,+8 resnest26d,67.080,32.920,87.100,12.900,17.07,224,0.875,bilinear,-11.360,-7.196,+9
res2net50_14w_8s,66.020,33.980,86.200,13.800,25.06,224,0.875,bilinear,-12.118,-7.656,-7 tv_resnet152,67.050,32.950,87.430,12.570,60.19,224,0.875,bilinear,-11.200,-6.552,+13
res2net50_26w_4s,66.010,33.990,86.580,13.420,25.70,224,0.875,bilinear,-11.982,-7.272,-4 dla60x,67.040,32.960,87.200,12.800,17.35,224,0.875,bilinear,-11.186,-6.788,+13
inception_v3,66.000,34.000,86.120,13.880,23.83,299,0.875,bicubic,-11.464,-7.356,+12 legacy_seresnet101,67.040,32.960,87.120,12.880,49.33,224,0.875,bilinear,-11.380,-7.054,+8
tv_resnext50_32x4d,65.970,34.030,86.030,13.970,25.03,224,0.875,bilinear,-11.644,-7.654,+5 mixnet_l,66.980,33.020,86.880,13.120,7.33,224,0.875,bicubic,-11.952,-7.304,-15
regnety_016,65.950,34.050,86.270,13.730,11.20,224,0.875,bicubic,-11.918,-7.456,-3 gluon_resnet50_v1s,66.950,33.050,86.710,13.290,25.68,224,0.875,bicubic,-11.838,-7.530,-8
efficientnet_b1_pruned,65.950,34.050,86.500,13.500,6.33,240,0.882,bicubic,-12.298,-7.336,-15 repvgg_b2,66.910,33.090,87.160,12.840,89.02,224,0.875,bilinear,-11.972,-7.186,-13
gluon_resnet50_v1b,65.910,34.090,86.230,13.770,25.56,224,0.875,bicubic,-11.668,-7.488,+5 hrnet_w30,66.870,33.130,86.780,13.220,37.71,224,0.875,bilinear,-11.264,-7.412,+11
tv_resnet101,65.850,34.150,85.980,14.020,44.55,224,0.875,bilinear,-11.516,-7.576,+8 res2net50_26w_6s,66.860,33.140,86.830,13.170,37.05,224,0.875,bilinear,-11.744,-7.334,-7
rexnet_100,65.810,34.190,86.510,13.490,4.80,224,0.875,bicubic,-12.052,-7.368,-4 tf_efficientnet_b1,66.860,33.140,86.940,13.060,7.79,240,0.882,bicubic,-11.972,-7.266,-15
seresnext26tn_32x4d,65.780,34.220,85.600,14.400,16.81,224,0.875,bicubic,-12.206,-8.144,-9 repvgg_b1,66.750,33.250,86.560,13.440,57.42,224,0.875,bilinear,-11.692,-7.598,-3
resnet34d,65.770,34.230,86.630,13.370,21.82,224,0.875,bicubic,-11.344,-6.752,+13 efficientnet_es,66.750,33.250,86.640,13.360,5.44,224,0.875,bicubic,-11.282,-7.260,+12
densenet161,65.710,34.290,86.510,13.490,28.68,224,0.875,bicubic,-11.650,-7.124,+5 dla60_res2next,66.740,33.260,87.030,12.970,17.03,224,0.875,bilinear,-11.582,-7.160,0
vit_small_patch16_224,65.710,34.290,86.130,13.870,48.75,224,0.900,bicubic,-12.144,-7.294,-7 gluon_resnet50_v1c,66.680,33.320,86.120,13.880,25.58,224,0.875,bicubic,-11.246,-7.886,+11
skresnet34,65.690,34.310,85.960,14.040,22.28,224,0.875,bicubic,-11.240,-7.362,+16 hrnet_w32,66.680,33.320,87.370,12.630,41.23,224,0.875,bilinear,-11.744,-6.832,-4
res2next50,65.610,34.390,85.790,14.210,24.67,224,0.875,bilinear,-12.626,-8.116,-24 wide_resnet101_2,66.660,33.340,87.060,12.940,126.89,224,0.875,bilinear,-12.250,-7.284,-25
selecsls42b,65.560,34.440,85.860,14.140,32.46,224,0.875,bicubic,-11.624,-7.528,+7 regnetx_040,66.620,33.380,86.550,13.450,22.12,224,0.875,bicubic,-11.874,-7.720,-9
seresnext26t_32x4d,65.440,34.560,86.140,13.860,16.82,224,0.875,bicubic,-12.548,-7.592,-17 tf_mixnet_l,66.550,33.450,86.530,13.470,7.33,224,0.875,bicubic,-12.252,-7.524,-21
tf_efficientnet_lite2,65.310,34.690,86.010,13.990,6.09,260,0.890,bicubic,-12.172,-7.738,-4 dla102,66.530,33.470,86.920,13.080,33.27,224,0.875,bilinear,-11.524,-6.998,+3
densenet201,65.300,34.700,85.660,14.340,20.01,224,0.875,bicubic,-11.990,-7.820,0 selecsls60,66.530,33.470,86.400,13.600,30.67,224,0.875,bicubic,-11.384,-7.422,+7
densenetblur121d,65.260,34.740,85.790,14.210,8.00,224,0.875,bicubic,-11.326,-7.406,+16 selecsls60b,66.440,33.560,86.500,13.500,32.77,224,0.875,bicubic,-12.056,-7.692,-15
seresnext26d_32x4d,65.250,34.750,85.820,14.180,16.81,224,0.875,bicubic,-12.336,-7.788,-11 adv_inception_v3,66.420,33.580,86.370,13.630,23.83,299,0.875,bicubic,-11.142,-7.316,+15
res2net50_48w_2s,65.220,34.780,85.910,14.090,25.29,224,0.875,bilinear,-12.314,-7.650,-9 tf_inception_v3,66.380,33.620,86.540,13.460,23.83,299,0.875,bicubic,-11.424,-7.184,+8
tf_efficientnet_b0_ap,65.200,34.800,85.490,14.510,5.29,224,0.875,bicubic,-11.902,-7.774,+3 efficientnet_b0,66.150,33.850,86.160,13.840,5.29,224,0.875,bicubic,-11.460,-7.404,+12
hrnet_w18,65.110,34.890,85.670,14.330,21.30,224,0.875,bilinear,-11.654,-7.772,+9 legacy_seresnet50,66.140,33.860,86.220,13.780,28.09,224,0.875,bilinear,-11.472,-7.576,+10
ese_vovnet19b_dw,65.090,34.910,85.420,14.580,6.54,224,0.875,bicubic,-11.728,-7.858,+7 tf_efficientnet_cc_b0_8e,66.130,33.870,86.070,13.930,24.01,224,0.875,bicubic,-11.796,-7.528,0
dla60,65.070,34.930,85.700,14.300,22.04,224,0.875,bilinear,-11.966,-7.624,+1 regnety_016,66.070,33.930,86.320,13.680,11.20,224,0.875,bicubic,-11.734,-7.330,+5
tf_efficientnet_es,65.030,34.970,85.410,14.590,5.44,224,0.875,bicubic,-12.254,-8.194,-7 gluon_resnet50_v1b,66.010,33.990,86.370,13.630,25.56,224,0.875,bicubic,-11.654,-7.304,+5
tf_efficientnet_cc_b0_4e,64.940,35.060,85.030,14.970,13.31,224,0.875,bicubic,-12.380,-8.292,-10 tf_efficientnet_em,65.960,34.040,86.240,13.760,6.90,240,0.882,bicubic,-12.200,-7.806,-12
mobilenetv2_120d,64.930,35.070,85.870,14.130,5.83,224,0.875,bicubic,-12.348,-7.640,-8 inception_v3,65.940,34.060,86.140,13.860,23.83,299,0.875,bicubic,-11.470,-7.334,+12
legacy_seresnext26_32x4d,64.820,35.180,85.540,14.460,16.79,224,0.875,bicubic,-12.286,-7.768,-5 efficientnet_b1_pruned,65.930,34.070,86.510,13.490,6.33,240,0.882,bicubic,-12.344,-7.298,-17
mixnet_m,64.740,35.260,85.510,14.490,5.01,224,0.875,bicubic,-12.534,-7.912,-9 res2net50_26w_4s,65.910,34.090,86.570,13.430,25.70,224,0.875,bilinear,-12.056,-7.260,-8
resnet26d,64.590,35.410,85.090,14.910,16.01,224,0.875,bicubic,-12.098,-8.056,+2 res2net50_14w_8s,65.890,34.110,86.180,13.820,25.06,224,0.875,bilinear,-12.228,-7.656,-13
tf_efficientnet_lite1,64.490,35.510,85.510,14.490,5.42,240,0.882,bicubic,-12.176,-7.728,+2 rexnet_100,65.880,34.120,86.530,13.470,4.80,224,0.875,bicubic,-12.006,-7.328,-6
tf_mixnet_m,64.470,35.530,84.930,15.070,5.01,224,0.875,bicubic,-12.486,-8.234,-6 skresnet34,65.860,34.140,85.860,14.140,22.28,224,0.875,bicubic,-11.050,-7.412,+21
densenet169,64.420,35.580,85.270,14.730,14.15,224,0.875,bicubic,-11.478,-7.752,+7 seresnext26t_32x4d,65.790,34.210,85.730,14.270,16.81,224,0.875,bicubic,-12.040,-7.998,-6
regnetx_016,64.270,35.730,85.450,14.550,9.19,224,0.875,bicubic,-12.676,-7.976,-7 res2next50,65.780,34.220,85.730,14.270,24.67,224,0.875,bilinear,-12.300,-8.222,-16
tf_efficientnet_b0,64.150,35.850,85.170,14.830,5.29,224,0.875,bicubic,-12.698,-8.062,-6 tv_resnext50_32x4d,65.780,34.220,85.940,14.060,25.03,224,0.875,bilinear,-11.848,-7.740,-4
dpn68,64.030,35.970,84.990,15.010,12.61,224,0.875,bicubic,-12.282,-7.978,+1 resnet34d,65.720,34.280,86.520,13.480,21.82,224,0.875,bicubic,-11.376,-6.904,+12
mobilenetv2_140,63.850,36.150,84.950,15.050,6.11,224,0.875,bicubic,-12.662,-8.048,-2 vit_small_patch16_224,65.690,34.310,86.070,13.930,48.75,224,0.900,bicubic,-12.182,-7.322,-11
densenet121,63.730,36.270,84.600,15.400,7.98,224,0.875,bicubic,-11.834,-8.048,+6 tv_resnet101,65.680,34.320,86.120,13.880,44.55,224,0.875,bilinear,-11.634,-7.436,+5
regnety_008,63.720,36.280,85.240,14.760,6.26,224,0.875,bicubic,-12.600,-7.828,-3 densenet161,65.660,34.340,86.480,13.520,28.68,224,0.875,bicubic,-11.678,-7.208,+1
mixnet_s,63.540,36.460,84.710,15.290,4.13,224,0.875,bicubic,-12.454,-8.080,-1 repvgg_b1g4,65.560,34.440,86.020,13.980,39.97,224,0.875,bilinear,-11.980,-7.774,-5
resnest14d,63.540,36.460,84.020,15.980,10.61,224,0.875,bilinear,-11.974,-8.498,+4 tf_efficientnet_lite2,65.410,34.590,85.950,14.050,6.09,260,0.890,bicubic,-12.030,-7.812,-3
resnet26,63.440,36.560,84.220,15.780,16.00,224,0.875,bicubic,-11.850,-8.346,+7 selecsls42b,65.390,34.610,85.830,14.170,32.46,224,0.875,bicubic,-11.706,-7.562,+5
tf_mixnet_s,63.430,36.570,84.090,15.910,4.13,224,0.875,bicubic,-12.252,-8.548,-1 seresnext26d_32x4d,65.370,34.630,85.930,14.070,16.81,224,0.875,bicubic,-12.148,-7.676,-6
mobilenetv3_large_100,63.310,36.690,84.050,15.950,5.48,224,0.875,bicubic,-12.464,-8.488,-3 densenet201,65.360,34.640,85.620,14.380,20.01,224,0.875,bicubic,-11.960,-7.862,-2
mobilenetv3_rw,63.270,36.730,84.560,15.440,5.48,224,0.875,bicubic,-12.350,-8.152,-2 densenetblur121d,65.250,34.750,85.820,14.180,8.00,224,0.875,bicubic,-11.224,-7.276,+18
tv_resnet50,63.210,36.790,84.650,15.350,25.56,224,0.875,bilinear,-12.948,-8.228,-8 res2net50_48w_2s,65.250,34.750,85.900,14.100,25.29,224,0.875,bilinear,-12.268,-7.682,-10
efficientnet_lite0,63.150,36.850,84.350,15.650,4.65,224,0.875,bicubic,-12.352,-8.164,0 gernet_s,65.200,34.800,85.430,14.570,8.17,224,0.875,bilinear,-11.674,-7.698,+7
semnasnet_100,63.060,36.940,84.450,15.550,3.89,224,0.875,bicubic,-12.392,-8.160,0 dla60,65.180,34.820,85.580,14.420,22.04,224,0.875,bilinear,-11.744,-7.710,+3
resnet34,62.860,37.140,84.150,15.850,21.80,224,0.875,bilinear,-12.246,-8.126,+4 ese_vovnet19b_dw,65.120,34.880,85.150,14.850,6.54,224,0.875,bicubic,-11.652,-8.126,+8
tv_densenet121,62.790,37.210,84.120,15.880,7.98,224,0.875,bicubic,-11.952,-8.034,+8 tf_efficientnet_b0_ap,65.090,34.910,85.470,14.530,5.29,224,0.875,bicubic,-11.982,-7.792,-1
legacy_seresnet34,62.770,37.230,84.200,15.800,21.96,224,0.875,bilinear,-12.020,-7.926,+6 mobilenetv2_120d,64.970,35.030,85.820,14.180,5.83,224,0.875,bicubic,-12.358,-7.658,-10
regnety_006,62.740,37.260,84.110,15.890,6.06,224,0.875,bicubic,-12.528,-8.420,-2 hrnet_w18,64.920,35.080,85.710,14.290,21.30,224,0.875,bilinear,-11.912,-7.694,+3
hrnet_w18_small_v2,62.660,37.340,83.840,16.160,15.60,224,0.875,bilinear,-12.448,-8.572,-1 tf_efficientnet_cc_b0_4e,64.910,35.090,85.040,14.960,13.31,224,0.875,bicubic,-12.386,-8.320,-9
swsl_resnet18,62.650,37.350,84.290,15.710,11.69,224,0.875,bilinear,-10.630,-7.468,+13 legacy_seresnext26_32x4d,64.770,35.230,85.560,14.440,16.79,224,0.875,bicubic,-12.346,-7.798,-8
mobilenetv2_110d,62.620,37.380,84.450,15.550,4.52,224,0.875,bicubic,-12.428,-7.740,0 mixnet_m,64.700,35.300,85.460,14.540,5.01,224,0.875,bicubic,-12.476,-7.966,-10
tf_efficientnet_lite0,62.550,37.450,84.160,15.840,4.65,224,0.875,bicubic,-12.282,-8.014,0 resnet26d,64.660,35.340,85.140,14.860,16.01,224,0.875,bicubic,-11.940,-8.048,+3
dla34,62.500,37.500,83.870,16.130,15.74,224,0.875,bilinear,-12.124,-8.192,+3 tf_mixnet_m,64.510,35.490,85.030,14.970,5.01,224,0.875,bicubic,-12.454,-8.182,-7
regnetx_008,62.500,37.500,83.970,16.030,7.26,224,0.875,bicubic,-12.552,-8.372,-4 tf_efficientnet_lite1,64.490,35.510,85.610,14.390,5.42,240,0.882,bicubic,-12.138,-7.638,0
gluon_resnet34_v1b,62.450,37.550,83.920,16.080,21.80,224,0.875,bicubic,-12.138,-8.076,+2 densenet169,64.350,35.650,85.160,14.840,14.15,224,0.875,bicubic,-11.600,-7.834,+9
fbnetc_100,62.370,37.630,83.370,16.630,5.57,224,0.875,bilinear,-12.746,-9.004,-9 regnetx_016,64.330,35.670,85.480,14.520,9.19,224,0.875,bicubic,-12.584,-7.892,-8
tf_mobilenetv3_large_100,62.230,37.770,83.840,16.160,5.48,224,0.875,bilinear,-13.280,-8.770,-15 repvgg_a2,64.260,35.740,85.240,14.760,28.21,224,0.875,bilinear,-12.228,-7.782,+1
regnety_004,61.960,38.040,83.450,16.550,4.34,224,0.875,bicubic,-12.058,-8.314,+1 tf_efficientnet_b0,64.200,35.800,85.200,14.800,5.29,224,0.875,bicubic,-12.630,-8.072,-6
mnasnet_100,61.900,38.100,83.740,16.260,4.38,224,0.875,bicubic,-12.770,-8.362,-4 dpn68,63.870,36.130,85.080,14.920,12.61,224,0.875,bicubic,-12.508,-7.898,+1
ssl_resnet18,61.520,38.480,83.290,16.710,11.69,224,0.875,bilinear,-11.096,-8.126,+6 mobilenetv2_140,63.850,36.150,84.840,15.160,6.11,224,0.875,bicubic,-12.688,-8.104,-3
tv_resnet34,61.150,38.850,82.640,17.360,21.80,224,0.875,bilinear,-12.154,-8.784,+1 tf_efficientnet_es,63.830,36.170,84.600,15.400,5.44,224,0.875,bicubic,-12.732,-8.584,-5
regnetx_006,61.130,38.870,83.240,16.760,6.20,224,0.875,bicubic,-12.714,-8.438,-2 regnety_008,63.780,36.220,85.320,14.680,6.26,224,0.875,bicubic,-12.544,-7.780,-1
spnasnet_100,61.070,38.930,82.770,17.230,4.42,224,0.875,bilinear,-13.010,-9.050,-5 mixnet_s,63.690,36.310,84.640,15.360,4.13,224,0.875,bicubic,-12.372,-8.186,-1
skresnet18,60.820,39.180,82.870,17.130,11.96,224,0.875,bicubic,-12.206,-8.302,0 densenet121,63.600,36.400,84.570,15.430,7.98,224,0.875,bicubic,-11.930,-8.046,+5
tf_mobilenetv3_large_075,60.370,39.630,81.790,18.210,3.99,224,0.875,bilinear,-13.078,-9.552,-4 resnet26,63.470,36.530,84.280,15.720,16.00,224,0.875,bicubic,-11.924,-8.304,+8
mobilenetv2_100,60.210,39.790,82.030,17.970,3.50,224,0.875,bicubic,-12.740,-8.972,-1 tf_mixnet_s,63.450,36.550,84.240,15.760,4.13,224,0.875,bicubic,-12.208,-8.378,0
resnet18d,59.860,40.140,82.310,17.690,11.71,224,0.875,bicubic,-12.414,-8.378,+2 mobilenetv3_large_100,63.320,36.680,84.090,15.910,5.48,224,0.875,bicubic,-12.390,-8.406,-2
legacy_seresnet18,59.710,40.290,81.610,18.390,11.78,224,0.875,bicubic,-12.026,-8.732,+3 resnest14d,63.290,36.710,84.110,15.890,10.61,224,0.875,bilinear,-12.298,-8.378,-1
regnetx_004,59.250,40.750,81.830,18.170,5.16,224,0.875,bicubic,-13.144,-8.988,-2 tv_resnet50,63.280,36.720,84.660,15.340,25.56,224,0.875,bilinear,-12.732,-8.274,-6
tf_mobilenetv3_large_minimal_100,59.040,40.960,80.890,19.110,3.92,224,0.875,bilinear,-13.204,-9.746,0 mobilenetv3_rw,63.090,36.910,84.400,15.600,5.48,224,0.875,bicubic,-12.452,-8.276,-2
hrnet_w18_small,58.900,41.100,81.310,18.690,13.19,224,0.875,bilinear,-13.436,-9.374,-3 efficientnet_lite0,63.060,36.940,84.450,15.550,4.65,224,0.875,bicubic,-12.384,-8.094,0
gluon_resnet18_v1b,58.300,41.700,80.990,19.010,11.69,224,0.875,bicubic,-12.538,-8.768,0 regnety_006,63.060,36.940,84.100,15.900,6.06,224,0.875,bicubic,-12.146,-8.460,+3
resnet18,57.250,42.750,80.100,19.900,11.69,224,0.875,bilinear,-12.492,-8.986,+1 semnasnet_100,63.060,36.940,84.300,15.700,3.89,224,0.875,bicubic,-12.366,-8.248,-1
regnety_002,56.980,43.020,79.820,20.180,3.16,224,0.875,bicubic,-13.298,-9.726,-1 resnet34,62.890,37.110,84.110,15.890,21.80,224,0.875,bilinear,-12.206,-8.136,+3
dla60x_c,56.100,43.900,78.950,21.050,1.32,224,0.875,bilinear,-11.812,-9.468,+2 legacy_seresnet34,62.800,37.200,84.120,15.880,21.96,224,0.875,bilinear,-12.112,-8.044,+6
regnetx_002,55.820,44.180,79.230,20.770,2.68,224,0.875,bicubic,-12.934,-9.330,-1 hrnet_w18_small_v2,62.770,37.230,83.950,16.050,15.60,224,0.875,bilinear,-12.394,-8.480,0
tf_mobilenetv3_small_100,54.530,45.470,77.020,22.980,2.54,224,0.875,bilinear,-13.392,-10.656,-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
dla46x_c,53.130,46.870,76.800,23.200,1.07,224,0.875,bilinear,-12.846,-10.188,0 regnetx_008,62.760,37.240,83.970,16.030,7.26,224,0.875,bicubic,-12.266,-8.362,+2
tf_mobilenetv3_small_075,52.360,47.640,75.470,24.530,2.04,224,0.875,bilinear,-13.364,-10.664,0 repvgg_b0,62.670,37.330,83.880,16.120,15.82,224,0.875,bilinear,-12.544,-8.574,-5
dla46_c,52.020,47.980,75.730,24.270,1.30,224,0.875,bilinear,-12.850,-10.564,0 mobilenetv2_110d,62.650,37.350,84.500,15.500,4.52,224,0.875,bicubic,-12.398,-7.632,-1
tf_mobilenetv3_small_minimal_100,49.570,50.430,72.830,27.170,2.04,224,0.875,bilinear,-13.340,-11.414,0 tv_densenet121,62.610,37.390,83.880,16.120,7.98,224,0.875,bicubic,-12.136,-8.250,+2
pnasnet5large,1.000,99.000,18.050,81.950,86.06,331,0.911,bicubic,+0.016,-0.526,+2 dla34,62.580,37.420,83.880,16.120,15.74,224,0.875,bilinear,-12.056,-8.242,+3
inception_resnet_v2,0.990,99.010,16.530,83.470,55.85,299,0.897,bicubic,+0.040,-0.764,+2 swsl_resnet18,62.560,37.440,84.420,15.580,11.69,224,0.875,bilinear,-10.758,-7.332,+11
ens_adv_inception_resnet_v2,0.970,99.030,16.450,83.550,55.85,299,0.897,bicubic,-0.028,-0.874,-1 gluon_resnet34_v1b,62.460,37.540,83.880,16.120,21.80,224,0.875,bicubic,-12.036,-8.128,+2
inception_v4,0.950,99.050,16.030,83.970,42.68,299,0.875,bicubic,-0.058,-0.824,-3 tf_mobilenetv3_large_100,62.400,37.600,83.900,16.100,5.48,224,0.875,bilinear,-13.120,-8.650,-15
tf_efficientnet_lite0,62.330,37.670,84.100,15.900,4.65,224,0.875,bicubic,-12.538,-8.030,-4
fbnetc_100,62.160,37.840,83.400,16.600,5.57,224,0.875,bilinear,-12.922,-8.954,-9
regnety_004,62.070,37.930,83.490,16.510,4.34,224,0.875,bicubic,-11.872,-8.264,+3
vgg19_bn,61.870,38.130,83.400,16.600,143.68,224,0.875,bilinear,-12.346,-8.448,-1
mnasnet_100,61.790,38.210,83.780,16.220,4.38,224,0.875,bicubic,-12.902,-8.360,-6
ssl_resnet18,61.400,38.600,83.310,16.690,11.69,224,0.875,bilinear,-11.092,-8.132,+8
regnetx_006,61.280,38.720,83.120,16.880,6.20,224,0.875,bicubic,-12.682,-8.564,-2
spnasnet_100,61.200,38.800,82.740,17.260,4.42,224,0.875,bilinear,-12.920,-9.142,-4
tv_resnet34,61.010,38.990,82.640,17.360,21.80,224,0.875,bilinear,-12.256,-8.790,+1
skresnet18,60.850,39.150,82.840,17.160,11.96,224,0.875,bicubic,-12.150,-8.316,+1
vgg16_bn,60.690,39.310,83.060,16.940,138.37,224,0.875,bilinear,-12.786,-8.476,-4
tf_mobilenetv3_large_075,60.370,39.630,81.710,18.290,3.99,224,0.875,bilinear,-13.002,-9.694,-4
mobilenetv2_100,60.160,39.840,82.140,17.860,3.50,224,0.875,bicubic,-12.796,-8.902,-1
resnet18d,59.830,40.170,82.380,17.620,11.71,224,0.875,bicubic,-12.550,-8.330,+1
legacy_seresnet18,59.700,40.300,81.630,18.370,11.78,224,0.875,bicubic,-12.052,-8.678,+5
vit_deit_tiny_patch16_224,59.700,40.300,82.730,17.270,5.72,224,0.900,bicubic,-12.496,-8.362,+3
vgg19,59.570,40.430,81.360,18.640,143.67,224,0.875,bilinear,-12.790,-9.490,-1
regnetx_004,59.540,40.460,81.730,18.270,5.16,224,0.875,bicubic,-12.996,-9.112,-5
vgg13_bn,59.080,40.920,81.080,18.920,133.05,224,0.875,bilinear,-12.538,-9.280,+3
hrnet_w18_small,58.980,41.020,81.260,18.740,13.19,224,0.875,bilinear,-13.296,-9.326,-3
tf_mobilenetv3_large_minimal_100,58.980,41.020,80.980,19.020,3.92,224,0.875,bilinear,-13.248,-9.702,-3
vgg16,58.550,41.450,81.580,18.420,138.36,224,0.875,bilinear,-13.078,-8.788,-1
gluon_resnet18_v1b,58.210,41.790,81.080,18.920,11.69,224,0.875,bicubic,-12.712,-8.690,0
resnet18,57.100,42.900,80.100,19.900,11.69,224,0.875,bilinear,-12.544,-8.882,+3
vgg13,57.100,42.900,79.600,20.400,133.05,224,0.875,bilinear,-12.884,-9.706,+1
vgg11_bn,57.050,42.950,79.830,20.170,132.87,224,0.875,bilinear,-13.358,-9.894,-2
regnety_002,56.910,43.090,79.870,20.130,3.16,224,0.875,bicubic,-13.416,-9.686,-2
dla60x_c,56.170,43.830,78.880,21.120,1.32,224,0.875,bilinear,-11.782,-9.558,+2
regnetx_002,55.900,44.100,79.140,20.860,2.68,224,0.875,bicubic,-12.930,-9.370,0
vgg11,55.800,44.200,78.650,21.350,132.86,224,0.875,bilinear,-13.072,-10.008,-2
tf_mobilenetv3_small_100,54.360,45.640,77.000,23.000,2.54,224,0.875,bilinear,-13.516,-10.682,0
dla46x_c,53.030,46.970,76.730,23.270,1.07,224,0.875,bilinear,-12.900,-10.274,0
tf_mobilenetv3_small_075,52.220,47.780,75.460,24.540,2.04,224,0.875,bilinear,-13.512,-10.708,0
dla46_c,51.980,48.020,75.560,24.440,1.30,224,0.875,bilinear,-12.950,-10.748,0
tf_mobilenetv3_small_minimal_100,49.370,50.630,72.840,27.160,2.04,224,0.875,bilinear,-13.374,-11.540,0

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 80.500 80.540 19.500 19.460 95.630 95.620 4.370 4.380 480.31 475 0.936 bicubic -3.240 -7.690 -1.140 -2.926 -1 +1
3 tf_efficientnet_l2_ns 80.100 80.110 19.900 19.890 95.860 95.840 4.140 4.160 480.31 800 0.960 bicubic -4.264 -8.226 -1.180 -2.824 -3 -1
4 tf_efficientnet_b7_ns 77.850 77.830 22.150 22.170 94.310 94.320 5.690 5.680 66.35 600 0.949 bicubic -10.500 -9.000 -4.346 -3.772 -2 0
5 tf_efficientnet_b6_ns 77.050 77.030 22.950 22.970 93.780 93.790 6.220 6.210 43.04 528 0.942 bicubic -11.190 -9.432 -4.770 -4.088 -2 0
6 ig_resnext101_32x48d ig_resnext101_32x32d 76.770 76.800 23.230 23.200 93.420 93.230 6.580 6.770 828.41 468.53 224 0.875 bilinear -9.678 -8.346 -4.460 -4.226 -1 +11
7 ig_resnext101_32x32d tf_efficientnet_b5_ns 76.730 23.270 93.190 93.480 6.810 6.520 468.53 30.39 224 456 0.875 0.934 bilinear bicubic -8.420 -9.342 -4.280 -4.268 +4 0
8 tf_efficientnet_b5_ns ig_resnext101_32x48d 76.700 76.650 23.300 23.350 93.510 93.420 6.490 6.580 30.39 828.41 456 224 0.934 0.875 bicubic bilinear -10.128 -8.852 -4.574 -4.128 -4 +3
9 tf_efficientnet_b7_ap 75.990 75.970 24.010 24.030 92.920 92.900 7.080 7.100 66.35 600 0.949 bicubic -9.176 -9.154 -4.442 -4.356 +1 +9
10 tf_efficientnet_b8_ap 75.960 75.950 24.040 24.050 92.650 92.670 7.350 7.330 87.41 672 0.954 bicubic -10.118 -9.434 -5.102 -4.628 -4 +4
11 ig_resnext101_32x16d dm_nfnet_f6 75.690 75.770 24.310 24.230 92.930 92.970 7.070 7.030 194.03 438.36 224 576 0.875 0.956 bilinear bicubic -8.512 -10.536 -4.288 -4.772 +12 -5
12 tf_efficientnet_b4_ns ig_resnext101_32x16d 75.500 75.690 24.500 24.310 92.860 92.910 7.140 7.090 19.34 194.03 380 224 0.922 0.875 bicubic bilinear -9.850 -8.478 -4.530 -4.286 -3 +21
13 swsl_resnext101_32x8d tf_efficientnet_b4_ns 75.480 75.490 24.520 24.510 92.690 92.940 7.310 7.060 88.79 19.34 224 380 0.875 0.922 bilinear bicubic -8.902 -9.704 -4.676 -4.560 +7 +2
14 vit_base_resnet50_384 swsl_resnext101_32x8d 75.400 75.460 24.600 24.540 92.750 92.720 7.250 7.280 98.95 88.79 384 224 1.000 0.875 bicubic bilinear -9.720 -8.872 -4.500 -4.434 -2 +16
15 tf_efficientnet_b6_ap vit_base_resnet50_384 75.370 75.430 24.630 24.570 92.300 92.700 7.700 7.300 43.04 98.95 528 384 0.942 1.000 bicubic -9.578 -9.564 -5.150 -4.594 0 +4
16 vit_large_patch16_384 vit_deit_base_distilled_patch16_384 74.780 75.410 25.220 24.590 92.580 92.530 7.420 7.470 304.72 87.63 384 1.000 bicubic -10.594 -10.012 -4.718 -4.804 -8 -4
17 tf_efficientnet_b8 tf_efficientnet_b6_ap 74.540 75.370 25.460 24.630 92.180 92.290 7.820 7.710 87.41 43.04 672 528 0.954 0.942 bicubic -10.884 -9.420 -5.398 -4.846 -10 +7
18 tf_efficientnet_b7 dm_nfnet_f4 74.450 75.230 25.550 24.770 92.120 92.640 7.880 7.360 66.35 316.07 600 512 0.949 0.951 bicubic -10.536 -10.496 -5.176 -4.878 -4 -10
19 tf_efficientnet_b5_ap dm_nfnet_f3 74.340 75.160 25.660 24.840 91.940 92.710 8.060 7.290 30.39 254.92 456 416 0.934 0.940 bicubic -9.930 -10.422 -5.230 -4.680 +2 -9
20 resnest200e ecaresnet269d 74.230 74.850 25.770 25.150 91.860 92.760 8.140 7.240 70.20 102.09 320 352 0.909 1.000 bicubic -9.738 -10.076 -4.958 -4.476 +7 +2
21 seresnet152d_320 vit_large_patch16_384 74.110 74.800 25.890 25.200 91.920 92.610 8.080 7.390 66.84 304.72 320 384 1.000 bicubic -10.294 -10.370 -5.514 -4.734 +19 -5
22 swsl_resnext101_32x4d dm_nfnet_f5 73.980 74.630 26.020 25.370 91.970 92.370 8.030 7.630 44.18 377.21 224 544 0.875 0.954 bilinear bicubic -9.242 -11.090 -4.798 -5.066 +14 -13
23 resnest269e tf_efficientnet_b8 73.910 74.530 26.090 25.470 91.990 92.200 8.010 7.800 110.93 87.41 416 672 0.928 0.954 bicubic -11.024 -10.854 -5.214 -5.200 -6 -10
24 tf_efficientnet_b6 tf_efficientnet_b7 73.910 74.430 26.090 25.570 91.730 92.130 8.270 7.870 43.04 66.35 528 600 0.942 0.949 bicubic -10.254 -10.506 -5.464 -5.078 +1 -3
25 tf_efficientnet_b3_ns dm_nfnet_f1 73.770 74.380 26.230 25.620 91.850 92.320 8.150 7.680 12.23 132.63 300 320 0.904 0.910 bicubic -10.344 -10.214 -5.038 -4.760 +1 0
26 vit_base_patch16_384 tf_efficientnet_b5_ap 73.710 74.380 26.290 25.620 92.080 91.940 7.920 8.060 86.86 30.39 384 456 1.000 0.934 bicubic -10.544 -9.880 -4.894 -5.034 -3 +5
27 ig_resnext101_32x8d dm_nfnet_f2 73.690 74.340 26.310 25.660 92.190 92.060 7.810 7.940 88.79 193.78 224 352 0.875 0.920 bilinear bicubic -9.006 -10.628 -4.454 -5.064 +16 -7
28 swsl_resnext101_32x16d resnest200e 73.680 74.260 26.320 25.740 92.140 91.860 7.860 8.140 194.03 70.20 224 320 0.875 0.909 bilinear bicubic -9.664 -9.580 -4.700 -4.998 +5 +9
29 seresnet152d 73.330 74.190 26.670 25.810 91.500 91.960 8.500 8.040 66.84 256 320 0.940 1.000 bicubic -10.422 -10.160 -5.620 -5.082 +29 0
30 resnet200d_320 swsl_resnext101_32x4d 73.320 74.060 26.680 25.940 91.470 92.010 8.530 7.990 64.69 44.18 320 224 1.000 0.875 bicubic bilinear -10.724 -9.192 -5.440 -4.758 -2 +14
31 tf_efficientnet_b5 resnest269e 73.290 73.990 26.710 26.010 91.370 91.980 8.630 8.020 30.39 110.93 456 416 0.934 0.928 bicubic -10.562 -10.528 -5.520 -5.022 -1 -5
32 resnet152d_320 tf_efficientnet_b6 73.270 73.950 26.730 26.050 91.210 91.730 8.790 8.270 60.21 43.04 320 528 1.000 0.942 bicubic -10.396 -10.172 -5.524 -5.160 +1 +2
33 resnetv2_152x4_bitm tf_efficientnet_b3_ns 73.120 73.760 26.880 26.240 91.790 91.810 8.210 8.190 936.53 12.23 480 300 1.000 0.904 bilinear bicubic -11.970 -10.252 -5.650 -5.100 -18 +2
34 resnetv2_152x2_bitm ig_resnext101_32x8d 72.820 73.720 27.180 26.280 92.040 92.100 7.960 7.900 236.34 88.79 480 224 1.000 0.875 bilinear -11.966 -8.940 -5.098 -4.584 -15 +19
35 resnet200d swsl_resnext101_32x16d 72.780 73.700 27.220 26.300 90.930 92.120 9.070 7.880 64.69 194.03 256 224 0.940 0.875 bicubic bilinear -10.462 -9.764 -5.558 -4.746 +1 +6
36 tf_efficientnet_b4_ap vit_base_patch16_384 72.740 73.620 27.260 26.380 90.990 92.100 9.010 7.900 19.34 86.86 380 384 0.922 1.000 bicubic -10.516 -10.592 -5.404 -5.116 -1 -4
37 resnetv2_101x3_bitm resnet200d 72.490 73.450 27.510 26.550 91.830 91.490 8.170 8.510 387.93 64.69 480 320 1.000 bilinear bicubic -12.036 -10.550 -5.156 -5.334 -17 -1
38 swsl_resnext50_32x4d tf_efficientnet_b5 72.440 73.250 27.560 26.750 90.880 91.350 9.120 8.650 25.03 30.39 224 456 0.875 0.934 bilinear bicubic -9.732 -10.570 -5.352 -5.410 +14 0
39 resnet101d_320 resnet152d 72.370 73.240 27.630 26.760 90.580 91.190 9.420 8.810 44.57 60.21 320 1.000 bicubic -10.654 -10.424 -5.876 -5.536 +3 +1
40 nasnetalarge resnetv2_152x4_bitm 72.340 73.160 27.660 26.840 90.520 91.810 9.480 8.190 88.75 936.53 331 480 0.911 1.000 bicubic bilinear -10.286 -11.756 -5.530 -5.634 +5 -17
41 resnest101e vit_deit_base_distilled_patch16_224 72.320 73.020 27.680 26.980 90.780 90.930 9.220 9.070 48.28 87.34 256 224 0.875 0.900 bilinear bicubic -10.558 -10.352 -5.534 -5.574 +2 +1
42 tf_efficientnet_b2_ns resnetv2_152x2_bitm 72.320 72.840 27.680 27.160 90.990 92.040 9.010 7.960 9.11 236.34 260 480 0.890 1.000 bicubic bilinear -10.072 -11.588 -5.248 -5.412 +4 -15
43 resnet152d tf_efficientnet_b4_ap 72.310 72.770 27.690 27.230 90.710 91.000 9.290 9.000 60.21 19.34 256 380 0.940 0.922 bicubic -10.824 -10.454 -5.640 -5.366 -5 +2
44 tresnet_xl_448 dm_nfnet_f0 72.170 72.590 27.830 27.410 90.130 91.010 9.870 8.990 78.44 71.49 448 256 0.875 0.900 bilinear bicubic -10.886 -10.780 -6.056 -5.548 -4 -1
45 tf_efficientnet_b4 pnasnet5large 72.150 72.550 27.850 27.450 90.480 90.510 9.520 9.490 19.34 86.06 380 331 0.922 0.911 bicubic -10.876 -10.236 -5.818 -5.566 -4 +7
46 vit_large_patch16_224 nasnetalarge 71.820 72.470 28.180 27.530 90.820 90.500 9.180 9.500 304.33 88.75 224 331 0.900 0.911 bicubic -11.240 -10.170 -5.624 -5.552 -7 +8
47 swsl_resnet50 resnetv2_101x3_bitm 71.650 72.460 28.350 27.540 90.520 91.820 9.480 8.180 25.56 387.93 224 480 0.875 1.000 bilinear -9.486 -11.932 -5.454 -5.538 +24 -19
48 efficientnet_b3 vit_deit_base_patch16_384 71.540 72.430 28.460 27.570 90.070 90.200 9.930 9.800 12.23 86.86 300 384 0.904 1.000 bicubic -10.542 -10.662 -5.956 -6.152 +5 -2
49 tresnet_l_448 swsl_resnext50_32x4d 71.500 72.370 28.500 27.630 89.950 90.980 10.050 9.020 55.99 25.03 448 224 0.875 bilinear -10.760 -9.816 -6.028 -5.284 -1 +11
50 resnetv2_50x3_bitm tf_efficientnet_b2_ns 71.480 72.370 28.520 27.630 91.360 90.970 8.640 9.030 217.32 9.11 480 260 1.000 0.890 bilinear bicubic -12.328 -9.996 -5.386 -5.290 -19 +5
51 tresnet_xl resnet101d 71.480 72.360 28.520 27.640 89.460 90.560 10.540 9.440 78.44 44.57 224 320 0.875 1.000 bilinear bicubic -10.574 -10.640 -6.472 -5.900 +3 -2
52 ssl_resnext101_32x8d resnest101e 71.470 72.350 28.530 27.650 90.330 90.690 9.670 9.310 88.79 48.28 224 256 0.875 bilinear -10.136 -10.474 -5.714 -5.620 +11 -1
53 efficientnet_b3a tresnet_xl_448 71.460 72.160 28.540 27.840 90.020 90.110 9.980 9.890 12.23 78.44 320 448 1.000 0.875 bicubic bilinear -10.794 -10.882 -6.094 -6.072 -4 -5
54 resnet101d tf_efficientnet_b4 71.400 72.150 28.600 27.850 90.150 90.510 9.850 9.490 44.57 19.34 256 380 0.940 0.922 bicubic -10.910 -10.824 -5.914 -5.782 -7 -4
55 ecaresnet101d vit_large_patch16_224 71.240 71.780 28.760 28.220 90.240 90.840 9.760 9.160 44.57 304.33 224 0.875 0.900 bicubic -10.936 -11.280 -5.816 -5.584 -4 -8
56 ssl_resnext101_32x16d swsl_resnet50 71.170 71.610 28.830 28.390 90.460 90.590 9.540 9.410 194.03 25.56 224 0.875 bilinear -10.668 -9.514 -5.632 -5.398 0 +29
57 vit_base_patch32_384 efficientnet_b3 71.120 71.540 28.880 28.460 90.520 90.110 9.480 9.890 88.30 12.23 384 300 1.000 0.904 bicubic -10.536 -10.492 -5.610 -5.926 +3 +6
58 regnety_032 efficientnet_b3a 71.070 71.520 28.930 28.480 90.250 89.990 9.750 10.010 19.44 12.23 224 320 0.875 1.000 bicubic -10.938 -10.712 -5.662 -6.136 -3 0
59 vit_base_patch16_224 tresnet_l_448 71.030 71.470 28.970 28.530 90.420 89.940 9.580 10.060 86.57 55.99 224 448 0.900 0.875 bicubic bilinear -10.754 -10.820 -5.706 -6.038 -1 -2
60 tf_efficientnet_b3_ap resnetv2_50x3_bitm 71.010 71.460 28.990 28.540 89.220 91.380 10.780 8.620 12.23 217.32 300 480 0.904 1.000 bicubic bilinear -10.812 -12.340 -6.400 -5.730 -3 -21
61 rexnet_200 ssl_resnext101_32x8d 70.840 71.410 29.160 28.590 89.800 90.400 10.200 9.600 16.37 88.79 224 0.875 bicubic bilinear -10.786 -10.190 -5.872 -5.622 +1 +12
62 resnest50d_4s2x40d tresnet_xl 70.800 71.370 29.200 28.630 89.520 89.490 10.480 10.510 30.42 78.44 224 0.875 bicubic bilinear -10.314 -10.796 -6.034 -6.444 +10 -1
63 tresnet_m_448 ecaresnet50t 70.780 71.200 29.220 28.800 88.690 90.390 11.310 9.610 31.39 25.57 448 320 0.875 0.950 bilinear bicubic -10.938 -11.148 -6.876 -5.754 -4 -7
64 wide_resnet50_2 ecaresnet101d 70.690 71.160 29.310 28.840 89.110 90.230 10.890 9.770 68.88 44.57 224 0.875 bicubic -10.762 -10.958 -6.412 -5.810 +2 -2
65 tresnet_l regnety_032 70.670 71.110 29.330 28.890 89.640 90.310 10.360 9.690 55.99 19.44 224 0.875 bilinear bicubic -10.816 -10.906 -5.980 -5.622 0 -1
66 tf_efficientnet_b1_ns ssl_resnext101_32x16d 70.630 71.110 29.370 28.890 89.930 90.420 10.070 9.580 7.79 194.03 240 224 0.882 0.875 bicubic bilinear -10.756 -10.736 -5.810 -5.712 +1 0
67 legacy_senet154 vit_base_patch32_384 70.490 71.090 29.510 28.910 88.960 90.460 11.040 9.540 115.09 88.30 224 384 0.875 1.000 bilinear bicubic -10.836 -10.574 -6.548 -5.668 +1 +4
68 gluon_seresnext101_64x4d vit_deit_base_patch16_224 70.460 71.030 29.540 28.970 89.180 10.820 88.23 86.57 224 0.875 0.900 bicubic -10.424 -10.964 -6.134 -6.558 +9 -3
69 seresnext50_32x4d vit_base_patch16_224 70.450 70.990 29.550 29.010 89.130 90.410 10.870 9.590 27.56 86.57 224 0.875 0.900 bicubic -10.824 -10.790 -6.488 -5.702 0 -1
70 tf_efficientnet_b3 tf_efficientnet_b3_ap 70.400 70.930 29.600 29.070 89.270 89.220 10.730 10.780 12.23 300 0.904 bicubic -11.246 -10.872 -6.452 -6.380 -9 -3
71 ssl_resnext101_32x4d vit_large_patch32_384 70.370 70.820 29.630 29.180 89.810 90.460 10.190 9.540 44.18 306.63 224 384 0.875 1.000 bilinear bicubic -10.544 -10.686 -5.924 -5.648 +5 +4
72 gluon_senet154 rexnet_200 70.350 70.770 29.650 29.230 88.970 89.690 11.030 10.310 115.09 16.37 224 0.875 bicubic -10.878 -10.918 -6.382 -6.000 -2
73 resnest50d_1s4x24d tresnet_m_448 70.350 70.740 29.650 29.260 89.140 88.670 10.860 11.330 25.68 31.39 224 448 0.875 bicubic bilinear -10.654 -10.952 -6.186 -6.890 +1 -4
74 resnetv2_101x1_bitm tf_efficientnet_b1_ns 70.320 70.700 29.680 29.300 90.640 89.880 9.360 10.120 44.54 7.79 480 240 1.000 0.882 bilinear bicubic -11.894 -10.698 -5.832 -5.850 -24 +3
75 resnest50d resnest50d_4s2x40d 70.250 70.670 29.750 29.330 88.620 89.430 11.380 10.570 27.48 30.42 224 0.875 bilinear bicubic -10.708 -10.478 -6.758 -6.122 0 +9
76 tf_efficientnet_lite4 wide_resnet50_2 70.200 70.670 29.800 29.330 89.030 89.160 10.970 10.840 13.01 68.88 380 224 0.920 0.875 bilinear bicubic -11.336 -10.636 -6.630 -6.428 -12 +4
77 gluon_resnet152_v1s tresnet_l 70.120 70.600 29.880 29.400 88.890 89.610 11.110 10.390 60.32 55.99 224 0.875 bicubic bilinear -10.898 -10.890 -6.530 -5.974 -4 -1
78 gluon_seresnext101_32x4d legacy_senet154 69.910 70.500 30.090 29.500 88.850 88.910 11.150 11.090 48.96 115.09 224 0.875 bicubic bilinear -10.962 -10.822 -6.442 -6.544 0 +1
79 regnety_320 vit_deit_small_distilled_patch16_224 69.870 70.480 30.130 29.520 88.760 89.460 11.240 10.540 145.05 22.44 224 0.875 0.900 bicubic -10.928 -10.770 -6.486 -5.936 +3
80 gluon_resnet152_v1d tf_efficientnet_b3 69.810 70.440 30.190 29.560 88.500 89.280 11.500 10.720 60.21 12.23 224 300 0.875 0.904 bicubic -10.668 -11.186 -6.700 -6.426 +7 -8
81 ecaresnet101d_pruned gluon_seresnext101_64x4d 69.700 70.420 30.300 29.580 89.330 89.350 10.670 10.650 24.88 88.23 224 0.875 bicubic -11.116 -10.432 -6.308 -5.986 -1 +11
82 tresnet_m ssl_resnext101_32x4d 69.670 70.370 30.330 29.630 87.960 89.910 12.040 10.090 31.39 44.18 224 0.875 bilinear -11.134 -10.654 -6.898 -5.838 -1 +4
83 ssl_resnext50_32x4d gluon_senet154 69.600 70.360 30.400 29.640 89.320 88.890 10.680 11.110 25.03 115.09 224 0.875 bilinear bicubic -10.702 -10.856 -6.092 -6.430 +13 0
84 ecaresnet50d resnest50d_1s4x24d 69.570 70.360 30.430 29.640 89.290 89.210 10.710 10.790 25.58 25.68 224 0.875 bicubic -11.044 -10.578 -6.018 -6.108 0 +5
85 efficientnet_b3_pruned gernet_l 69.530 70.350 30.470 29.650 88.770 89.060 11.230 10.940 9.86 31.08 300 256 0.904 0.875 bicubic bilinear -11.328 -10.994 -6.470 -6.480 -6 -7
86 gluon_resnext101_64x4d resnetv2_101x1_bitm 69.490 70.340 30.510 29.660 88.260 90.640 11.740 9.360 83.46 44.54 224 480 0.875 1.000 bicubic bilinear -11.140 -11.868 -6.738 -5.820 -3 -27
87 regnetx_320 resnest50d 69.440 70.300 30.560 29.700 88.140 88.670 11.860 11.330 107.81 27.48 224 0.875 bicubic bilinear -10.814 -10.670 -6.890 -6.680 +14 +1
88 rexnet_150 seresnext50_32x4d 69.410 70.200 30.590 29.800 88.970 89.130 11.030 10.870 9.73 27.56 224 0.875 bicubic -10.900 -11.070 -6.192 -6.526 +7 -7
89 efficientnet_b2a gluon_resnet152_v1s 69.400 70.180 30.600 29.820 88.650 88.820 11.350 11.180 9.11 60.32 288 224 1.000 0.875 bicubic -11.214 -10.840 -6.668 -6.606 -4 -2
90 ecaresnetlight tf_efficientnet_lite4 69.330 70.170 30.670 29.830 89.210 89.180 10.790 10.820 30.16 13.01 224 380 0.875 0.920 bicubic bilinear -11.128 -11.346 -6.040 -6.444 -1 -16
91 xception71 repvgg_b3 69.270 69.980 30.730 30.020 88.170 88.730 11.830 11.270 42.34 123.09 299 224 0.903 0.875 bicubic bilinear -10.614 -10.460 -6.762 -6.464 +22 +14
92 resnet50d inception_resnet_v2 69.170 69.920 30.830 30.080 88.140 88.680 11.860 11.320 25.58 55.84 224 299 0.875 0.897 bicubic -11.378 -10.528 -7.018 -6.612 -6 +12
93 mixnet_xl regnety_320 69.060 69.910 30.940 30.090 88.360 88.780 11.640 11.220 11.90 145.05 224 0.875 bicubic -11.414 -10.872 -6.574 -6.482 -5 +1
94 legacy_seresnext101_32x4d ecaresnet101d_pruned 69.040 69.810 30.960 30.190 88.070 89.420 11.930 10.580 48.96 24.88 224 0.875 bilinear bicubic -11.188 -11.076 -6.950 -6.152 +8 -4
95 regnety_120 gluon_seresnext101_32x4d 68.990 69.810 31.010 30.190 88.180 88.930 11.820 11.070 51.82 48.96 224 0.875 bicubic -11.388 -11.068 -6.942 -6.344 -2 -4
96 gluon_resnet152_v1c gernet_m 68.960 69.650 31.040 30.350 87.650 88.450 12.350 11.550 60.21 21.14 224 0.875 bicubic bilinear -10.954 -11.080 -7.198 -6.762 +15 -1
97 efficientnet_b2 ecaresnet50d 68.930 69.600 31.070 30.400 88.470 89.240 11.530 10.760 9.11 25.58 260 224 0.875 bicubic -11.448 -11.014 -6.608 -6.074 -5 +2
98 gluon_resnext101_32x4d ssl_resnext50_32x4d 68.880 69.580 31.120 30.420 88.310 89.480 11.690 10.520 44.18 25.03 224 0.875 bicubic bilinear -11.454 -10.752 -6.598 -5.902 -4 +13
99 hrnet_w64 tresnet_m 68.840 69.570 31.160 30.430 88.160 87.900 11.840 12.100 128.06 31.39 224 0.875 bilinear -10.622 -11.150 -6.494 -6.956 +31 -4
100 gluon_resnet152_v1b repvgg_b3g4 68.800 69.570 31.200 30.430 87.560 88.570 12.440 11.430 60.19 83.83 224 0.875 bicubic bilinear -10.892 -10.668 -7.174 -6.498 +22 +20
101 tf_efficientnet_b2_ap gluon_resnet152_v1d 68.790 69.550 31.210 30.450 88.330 88.410 11.670 11.590 9.11 60.21 260 224 0.890 0.875 bicubic -11.512 -10.930 -6.702 -6.852 -4 +1
102 gluon_resnet101_v1d gluon_resnext101_64x4d 68.780 69.500 31.220 30.500 88.080 88.190 11.920 11.810 44.57 83.46 224 0.875 bicubic -11.622 -11.136 -6.940 -6.800 -11 -4
103 gluon_xception65 efficientnet_b3_pruned 68.770 69.450 31.230 30.550 87.950 88.740 12.050 11.260 39.92 9.86 299 300 0.903 0.904 bicubic -10.932 -11.370 -6.918 -6.484 +18 -10
104 seresnet50 efficientnet_b2a 68.760 69.420 31.240 30.580 88.530 88.630 11.470 11.370 28.09 9.11 224 288 0.875 1.000 bicubic -11.498 -11.188 -6.536 -6.668 -5 -4
105 xception65 regnetx_320 68.760 69.400 31.240 30.600 88.250 88.150 11.750 11.850 39.92 107.81 299 224 0.903 0.875 bicubic -10.790 -10.914 -6.408 -6.918 +21 +8
106 cspdarknet53 ens_adv_inception_resnet_v2 68.760 69.380 31.240 30.620 88.530 88.330 11.470 11.670 27.64 55.84 256 299 0.887 0.897 bilinear bicubic -11.288 -10.550 -6.562 -6.620 +3 +24
107 cspresnext50 ecaresnetlight 68.720 69.350 31.280 30.650 88.030 89.020 11.970 10.980 20.57 30.16 224 0.875 bilinear bicubic -11.326 -11.110 -6.914 -6.182 +1 -4
108 regnety_160 inception_v4 68.720 69.350 31.280 30.650 88.200 88.760 11.800 11.240 83.59 42.68 224 299 0.875 bicubic -11.556 -10.804 -6.768 -6.202 -9 +14
109 resnext50d_32x4d nf_resnet50 68.670 69.350 31.330 30.650 88.230 88.710 11.770 11.290 25.05 25.56 224 288 0.875 0.940 bicubic -10.998 -11.316 -6.636 -6.648 +14 -12
110 dpn131 xception71 68.640 69.310 31.360 30.690 87.220 88.130 12.780 11.870 79.25 42.34 224 299 0.875 0.903 bicubic -11.186 -10.536 -7.492 -6.806 +6 +26
111 gluon_resnet101_v1s rexnet_150 68.640 69.140 31.360 30.860 87.720 88.910 12.280 11.090 44.67 9.73 224 0.875 bicubic -11.646 -11.210 -7.440 -6.292 -13 -1
112 gluon_seresnext50_32x4d mixnet_xl 68.570 69.090 31.430 30.910 88.140 88.330 11.860 11.670 27.56 11.90 224 0.875 bicubic -11.354 -11.334 -6.682 -6.558 -2 -5
113 regnetx_160 resnet50d 68.520 69.060 31.480 30.940 88.280 88.260 11.720 11.740 54.28 25.58 224 0.875 bicubic -11.318 -11.432 -6.544 -6.868 +2 -12
114 regnety_080 regnety_120 68.500 69.040 31.500 30.960 88.000 88.210 12.000 11.790 39.18 51.82 224 0.875 bicubic -11.370 -11.334 -6.830 -6.898 0 -5
115 tf_efficientnet_b2 legacy_seresnext101_32x4d 68.460 69.020 31.540 30.980 88.020 88.150 11.980 11.850 9.11 48.96 260 224 0.890 0.875 bicubic bilinear -11.612 -11.262 -6.884 -6.874 -9 +2
116 skresnext50_32x4d seresnet50 68.440 69.020 31.560 30.980 87.610 88.470 12.390 11.530 27.48 28.09 224 0.875 bicubic -11.706 -11.272 -7.030 -6.578 -11 -1
117 dpn107 gluon_resnext101_32x4d 68.390 68.980 31.610 31.020 88.070 88.340 11.930 11.660 86.92 44.18 224 0.875 bicubic -11.766 -11.238 -6.840 -6.568 -13 +3
118 cspresnet50 efficientnet_b2 68.380 68.880 31.620 31.120 87.950 88.640 12.050 11.360 21.62 9.11 256 260 0.887 0.875 bilinear bicubic -11.194 -11.434 -6.758 -6.472 +8 -6
119 dla102x2 gluon_resnet152_v1c 68.380 68.870 31.620 31.130 87.800 87.890 12.200 12.110 41.28 60.21 224 0.875 bilinear bicubic -11.062 -10.980 -6.846 -7.000 +12 +16
120 resnext50_32x4d gluon_xception65 68.360 68.810 31.640 31.190 87.570 88.000 12.430 12.000 25.03 39.92 224 299 0.875 0.903 bicubic -11.430 -10.946 -7.036 -6.852 -2 +20
121 ssl_resnet50 tf_efficientnet_b2_ap 68.360 68.800 31.640 31.200 88.580 88.260 11.420 11.740 25.56 9.11 224 260 0.875 0.890 bilinear bicubic -10.876 -11.440 -6.250 -6.724 +20 -3
122 regnety_064 repvgg_b2g4 68.350 68.780 31.650 31.220 88.030 88.220 11.970 11.780 30.58 61.76 224 0.875 bicubic bilinear -11.382 -10.624 -6.734 -6.486 -3 +32
123 dpn98 cspresnext50 68.300 68.770 31.700 31.230 87.560 88.030 12.440 11.970 61.57 20.57 224 0.875 bicubic bilinear -11.350 -11.236 -7.046 -6.902 +1 +5
124 regnetx_120 cspdarknet53 68.240 68.760 31.760 31.240 87.570 88.440 12.430 11.560 46.11 27.64 224 256 0.875 0.887 bicubic bilinear -11.370 -11.290 -7.162 -6.636 +1
125 efficientnet_b2_pruned resnext50d_32x4d 68.220 68.760 31.780 31.240 88.070 88.250 11.930 11.750 8.31 25.05 260 224 0.890 0.875 bicubic -11.686 -10.928 -6.786 -6.594 -13 +19
126 ese_vovnet39b hrnet_w64 68.220 68.750 31.780 31.250 88.290 88.080 11.710 11.920 24.57 128.06 224 0.875 bicubic bilinear -11.092 -10.738 -6.432 -6.558 +9 +26
127 rexnet_130 xception65 68.220 68.690 31.780 31.310 88.010 88.230 11.990 11.770 7.56 39.92 224 299 0.875 0.903 bicubic -11.274 -10.902 -6.664 -6.428 +2 +20
128 tf_efficientnet_el gluon_resnet152_v1b 68.170 68.670 31.830 31.330 88.230 87.630 11.770 12.370 10.59 60.19 300 224 0.904 0.875 bicubic -12.278 -10.964 -6.940 -7.128 -38 +18
129 ecaresnet50d_pruned regnety_160 68.160 68.650 31.840 31.350 88.340 88.260 11.660 11.740 19.94 83.59 224 0.875 bicubic -11.552 -11.764 -6.536 -6.720 -9 -21
130 gluon_resnext50_32x4d gluon_resnet101_v1s 68.160 68.630 31.840 31.370 87.370 87.790 12.630 12.210 25.03 44.67 224 0.875 bicubic -11.194 -11.666 -7.054 -7.386 +2 -16
131 regnetx_080 gluon_seresnext50_32x4d 67.930 68.600 32.070 31.400 87.080 88.070 12.920 11.930 39.57 27.56 224 0.875 bicubic -11.282 -11.348 -7.474 -6.766 +13 -2
132 tf_efficientnet_lite3 gluon_resnet101_v1d 67.920 68.590 32.080 31.410 87.710 88.000 12.290 12.000 8.20 44.57 300 224 0.904 0.875 bilinear bicubic -11.906 -11.840 -7.198 -7.014 -15 -26
133 legacy_seresnext50_32x4d regnety_064 67.890 68.500 32.110 31.500 87.590 87.930 12.410 12.070 27.56 30.58 224 0.875 bilinear bicubic -11.194 -11.236 -6.844 -6.828 +14 +8
134 gluon_resnet50_v1d regnety_080 67.880 68.500 32.120 31.500 86.940 87.990 13.060 12.010 25.58 39.18 224 0.875 bicubic -11.184 -11.340 -7.530 -6.858 +15 +3
135 hrnet_w48 vit_deit_small_patch16_224 67.800 68.480 32.200 31.520 87.370 88.220 12.630 11.780 77.47 22.05 224 0.875 0.900 bilinear bicubic -11.516 -11.388 -7.144 -6.822 -1 -2
136 resnext101_32x8d dpn131 67.750 68.460 32.250 31.540 87.360 87.320 12.640 12.680 88.79 79.25 224 0.875 bilinear bicubic -11.554 -11.406 -7.166 -7.406 +1 -2
137 tf_efficientnet_b0_ns resnext50_32x4d 67.720 68.450 32.280 31.550 87.940 87.590 12.060 12.410 5.29 25.03 224 0.875 bicubic -10.940 -11.272 -6.432 -7.016 +27 +5
138 hrnet_w44 dpn107 67.700 68.430 32.300 31.570 87.510 88.070 12.490 11.930 67.06 86.92 224 0.875 bilinear bicubic -11.190 -11.750 -6.864 -6.836 +16 -17
139 dla169 regnetx_160 67.670 68.410 32.330 31.590 87.470 88.280 12.530 11.720 53.39 54.28 224 0.875 bilinear bicubic -11.024 -11.474 -6.860 -6.546 +23 -8
140 regnetx_064 cspresnet50 67.660 68.410 32.340 31.590 87.470 88.060 12.530 11.940 26.21 21.62 224 256 0.875 0.887 bicubic bilinear -11.404 -11.172 -6.990 -6.652 +8 +9
141 regnety_040 skresnext50_32x4d 67.620 68.400 32.380 31.600 87.390 87.640 12.610 12.360 20.65 27.48 224 0.875 bicubic -11.612 -11.754 -7.254 -7.062 +1 -18
142 dpn92 dla102x2 67.580 68.380 32.420 31.620 87.290 87.840 12.710 12.160 37.67 41.28 224 0.875 bicubic bilinear -12.410 -11.048 -7.554 -6.788 -33 +11
143 efficientnet_em tf_efficientnet_b2 67.560 68.360 32.440 31.640 88.120 88.000 11.880 12.000 6.90 9.11 240 260 0.882 0.890 bicubic -11.704 -11.664 -6.670 -6.944 -3 -16
144 xception ecaresnet50d_pruned 67.550 68.350 32.450 31.650 87.510 88.290 12.490 11.710 22.86 19.94 299 224 0.897 0.875 bicubic -11.496 -11.326 -6.886 -6.632 +6 +1
145 gluon_inception_v3 efficientnet_b2_pruned 67.540 68.350 32.460 31.650 87.250 88.130 12.750 11.870 23.83 8.31 299 260 0.875 0.890 bicubic -11.260 -11.482 -7.130 -6.676 +12 -7
146 dpn68b dpn98 67.530 68.310 32.470 31.690 87.500 87.590 12.500 12.410 12.61 61.57 224 0.875 bicubic -11.682 -11.378 -6.922 -7.054 -3
147 legacy_seresnet152 ecaresnet26t 67.510 68.290 32.490 31.710 87.470 88.590 12.530 11.410 66.82 16.01 224 320 0.875 0.950 bilinear bicubic -11.156 -11.594 -6.906 -6.482 +16 -16
148 hrnet_w40 ese_vovnet39b 67.480 68.260 32.520 31.740 87.140 88.230 12.860 11.770 57.56 24.57 224 0.875 bilinear bicubic -11.452 -10.946 -7.338 -6.498 +5 +18
149 resnetblur50 regnetx_120 67.460 68.160 32.540 31.840 87.570 87.520 12.430 12.480 25.56 46.11 224 0.875 bicubic -11.826 -11.414 -7.070 -7.172 -11 0
150 resnet50 rexnet_130 67.450 68.150 32.550 31.850 87.430 88.090 12.570 11.910 25.56 7.56 224 0.875 bicubic -11.586 -11.366 -6.962 -6.570 +1
151 resnetv2_50x1_bitm ssl_resnet50 67.440 68.150 32.560 31.850 89.100 88.640 10.900 11.360 25.55 25.56 480 224 1.000 0.875 bilinear -12.752 -11.090 -6.530 -6.274 -48 +10
152 res2net50_26w_8s tf_efficientnet_el 67.430 68.140 32.570 31.860 87.140 88.010 12.860 11.990 48.40 10.59 224 300 0.875 0.904 bilinear bicubic -11.762 -12.152 -7.228 -7.110 -6 -36
153 tf_efficientnet_b1_ap gluon_resnext50_32x4d 67.430 68.090 32.570 31.910 87.540 87.380 12.460 12.620 7.79 25.03 240 224 0.882 0.875 bicubic -11.846 -11.230 -6.762 -7.120 -14 +4
154 tf_efficientnet_cc_b1_8e tf_efficientnet_lite3 67.380 68.080 32.620 31.920 87.280 87.790 12.720 12.210 39.72 8.20 240 300 0.882 0.904 bicubic bilinear -11.946 -11.678 -7.092 -7.074 -21 -15
155 gluon_resnet101_v1b gluon_resnet50_v1d 67.360 68.070 32.640 31.930 87.050 86.900 12.950 13.100 44.55 25.58 224 0.875 bicubic -11.944 -11.002 -7.480 -7.578 -19 +18
156 res2net101_26w_4s regnetx_080 67.350 68.040 32.650 31.960 87.170 87.120 12.830 12.880 45.21 39.57 224 0.875 bilinear bicubic -11.844 -11.134 -7.264 -7.436 -11 +11
157 xception41 nf_regnet_b1 67.300 67.870 32.700 32.130 87.150 88.070 12.850 11.930 26.97 10.22 299 288 0.903 0.900 bicubic -11.236 -11.454 -7.134 -6.702 +8 -1
158 gluon_resnet101_v1c legacy_seresnext50_32x4d 67.300 67.840 32.700 32.160 87.060 87.570 12.940 12.430 44.57 27.56 224 0.875 bicubic bilinear -12.232 -11.268 -7.528 -6.908 -29 +12
159 efficientnet_b1 hrnet_w48 67.250 67.840 32.750 32.160 86.970 87.470 13.030 12.530 7.79 77.47 240 224 0.875 bicubic bilinear -11.456 -11.396 -7.184 -7.052 +1 +4
160 regnetx_032 resnext101_32x8d 67.140 67.790 32.860 32.210 86.980 87.410 13.020 12.590 15.30 88.79 224 0.875 bicubic bilinear -11.008 -11.420 -7.108 -7.146 +20 +5
161 legacy_seresnet101 efficientnet_em 67.120 67.660 32.880 32.340 87.040 88.040 12.960 11.960 49.33 6.90 224 240 0.875 0.882 bilinear bicubic -11.260 -11.570 -7.222 -6.752 +13 +2
162 dla60_res2net regnetx_064 67.110 67.660 32.890 32.340 87.060 87.290 12.940 12.710 20.85 26.21 224 0.875 bilinear bicubic -11.350 -11.418 -7.146 -7.170 +8 +10
163 resnest26d tf_efficientnet_b0_ns 67.110 67.640 32.890 32.360 87.130 87.950 12.870 12.050 17.07 5.29 224 0.875 bilinear bicubic -11.370 -10.960 -7.170 -6.438 +6 +26
164 dla60x legacy_seresnet152 67.080 67.630 32.920 32.370 87.190 87.420 12.810 12.580 17.35 66.82 224 0.875 bilinear -11.170 -11.014 -6.834 -6.970 +12 +22
165 dla102x regnety_040 67.010 67.610 32.990 32.390 86.730 87.480 13.270 12.520 26.31 20.65 224 0.875 bilinear bicubic -11.500 -11.606 -7.500 -7.182 +2 -1
166 res2net50_26w_6s res2net50_26w_8s 66.950 67.600 33.050 32.400 86.810 87.150 13.190 12.850 37.05 48.40 224 0.875 bilinear -11.616 -11.530 -7.310 -7.254 -1 +3
167 gluon_resnet50_v1s dla169 66.940 67.560 33.060 32.440 86.790 87.570 13.210 12.430 25.68 53.39 224 0.875 bicubic bilinear -11.760 -11.172 -7.456 -6.764 -6 +18
168 mixnet_l resnetblur50 66.940 67.550 33.060 32.450 86.790 87.440 13.210 12.560 7.33 25.56 224 0.875 bicubic -12.040 -11.712 -7.392 -7.182 -16 -9
169 tv_resnet152 hrnet_w44 66.920 67.550 33.080 32.450 87.450 87.570 12.550 12.430 60.19 67.06 224 0.875 bilinear -11.400 -11.336 -6.602 -6.840 +6 +11
170 tf_efficientnet_b1 dpn68b 66.810 67.540 33.190 32.460 86.920 87.430 13.080 12.570 7.79 12.61 240 224 0.882 0.875 bicubic -12.034 -11.600 -7.276 -6.994 -14 -2
171 dla60_res2next gluon_inception_v3 66.710 67.540 33.290 32.460 86.940 87.150 13.060 12.850 17.03 23.83 224 299 0.875 bilinear bicubic -11.734 -11.290 -7.218 -7.248 +1 +11
172 gluon_resnet50_v1c resnetv2_50x1_bitm 66.710 67.500 33.290 32.500 86.080 89.040 13.920 10.960 25.58 25.55 224 480 0.875 1.000 bicubic bilinear -11.298 -12.652 -7.908 -6.604 +12 -48
173 efficientnet_es resnet50 66.700 67.460 33.300 32.540 86.670 87.510 13.330 12.490 5.44 25.56 224 0.875 bicubic -11.388 -11.544 -7.262 -6.882 +9 +2
174 hrnet_w30 xception 66.700 67.440 33.300 32.560 86.730 87.560 13.270 12.440 37.71 22.86 224 299 0.875 0.897 bilinear bicubic -11.506 -11.588 -7.494 -6.810 +5 0
175 regnetx_040 tf_efficientnet_b1_ap 66.650 67.430 33.350 32.570 86.530 87.520 13.470 12.480 22.12 7.79 224 240 0.875 0.882 bicubic -11.834 -11.860 -7.722 -6.806 -7 -17
176 hrnet_w32 tf_efficientnet_cc_b1_8e 66.640 67.410 33.360 32.590 87.180 87.270 12.820 12.730 41.23 39.72 224 240 0.875 0.882 bilinear bicubic -11.806 -11.878 -7.010 -7.088 -5 -17
177 selecsls60b gluon_resnet101_v1c 66.640 67.400 33.360 32.600 86.590 87.120 13.410 12.880 32.77 44.57 224 0.875 bicubic -11.770 -12.150 -7.588 -7.522 -4 -27
178 tf_mixnet_l dpn92 66.620 67.390 33.380 32.610 86.390 87.300 13.610 12.700 7.33 37.67 224 0.875 bicubic -12.156 -12.644 -7.612 -7.518 -20 -52
179 dla102 gluon_resnet101_v1b 66.570 67.380 33.430 32.620 86.930 86.960 13.070 13.040 33.27 44.55 224 0.875 bilinear bicubic -11.460 -11.980 -7.022 -7.548 +4 -24
180 wide_resnet101_2 hrnet_w40 66.550 67.340 33.450 32.660 87.010 87.230 12.990 12.770 126.89 57.56 224 0.875 bilinear -12.304 -11.566 -7.272 -7.204 -25 -2
181 tf_efficientnet_em xception41 66.540 67.340 33.460 32.660 86.800 87.190 13.200 12.810 6.90 26.97 240 299 0.882 0.903 bicubic -12.172 -11.156 -7.528 -7.066 -22 +12
182 adv_inception_v3 res2net101_26w_4s 66.360 67.330 33.640 32.670 86.380 87.240 13.620 12.760 23.83 45.21 299 224 0.875 bicubic bilinear -11.222 -11.790 -7.360 -7.192 +16 -12
183 selecsls60 efficientnet_b1 66.340 67.280 33.660 32.720 86.290 87.040 13.710 12.960 30.67 7.79 224 240 0.875 bicubic -11.650 -11.324 -7.538 -7.054 +3 +4
184 tf_inception_v3 regnetx_032 66.310 67.090 33.690 32.910 86.570 87.050 13.430 12.950 23.83 15.30 299 224 0.875 bicubic -11.556 -11.058 -7.076 -7.016 +7 +20
185 efficientnet_b0 dla60_res2net 66.130 67.080 33.870 32.920 86.090 87.020 13.910 12.980 5.29 20.85 224 0.875 bicubic bilinear -11.576 -11.442 -7.432 -7.232 +9 +6
186 tf_efficientnet_cc_b0_8e dla102x 66.110 67.080 33.890 32.920 86.110 86.730 13.890 13.270 24.01 26.31 224 0.875 bicubic bilinear -11.798 -11.448 -7.542 -7.476 +3 +4
187 legacy_seresnet50 resnest26d 66.090 67.080 33.910 32.920 86.290 87.100 13.710 12.900 28.09 17.07 224 0.875 bilinear -11.546 -11.360 -7.454 -7.196 +8 +9
188 res2net50_14w_8s tv_resnet152 66.020 67.050 33.980 32.950 86.200 87.430 13.800 12.570 25.06 60.19 224 0.875 bilinear -12.118 -11.200 -7.656 -6.552 -7 +13
189 res2net50_26w_4s dla60x 66.010 67.040 33.990 32.960 86.580 87.200 13.420 12.800 25.70 17.35 224 0.875 bilinear -11.982 -11.186 -7.272 -6.788 -4 +13
190 inception_v3 legacy_seresnet101 66.000 67.040 34.000 32.960 86.120 87.120 13.880 12.880 23.83 49.33 299 224 0.875 bicubic bilinear -11.464 -11.380 -7.356 -7.054 +12 +8
191 tv_resnext50_32x4d mixnet_l 65.970 66.980 34.030 33.020 86.030 86.880 13.970 13.120 25.03 7.33 224 0.875 bilinear bicubic -11.644 -11.952 -7.654 -7.304 +5 -15
192 regnety_016 gluon_resnet50_v1s 65.950 66.950 34.050 33.050 86.270 86.710 13.730 13.290 11.20 25.68 224 0.875 bicubic -11.918 -11.838 -7.456 -7.530 -3 -8
193 efficientnet_b1_pruned repvgg_b2 65.950 66.910 34.050 33.090 86.500 87.160 13.500 12.840 6.33 89.02 240 224 0.882 0.875 bicubic bilinear -12.298 -11.972 -7.336 -7.186 -15 -13
194 gluon_resnet50_v1b hrnet_w30 65.910 66.870 34.090 33.130 86.230 86.780 13.770 13.220 25.56 37.71 224 0.875 bicubic bilinear -11.668 -11.264 -7.488 -7.412 +5 +11
195 tv_resnet101 res2net50_26w_6s 65.850 66.860 34.150 33.140 85.980 86.830 14.020 13.170 44.55 37.05 224 0.875 bilinear -11.516 -11.744 -7.576 -7.334 +8 -7
196 rexnet_100 tf_efficientnet_b1 65.810 66.860 34.190 33.140 86.510 86.940 13.490 13.060 4.80 7.79 224 240 0.875 0.882 bicubic -12.052 -11.972 -7.368 -7.266 -4 -15
197 seresnext26tn_32x4d repvgg_b1 65.780 66.750 34.220 33.250 85.600 86.560 14.400 13.440 16.81 57.42 224 0.875 bicubic bilinear -12.206 -11.692 -8.144 -7.598 -9 -3
198 resnet34d efficientnet_es 65.770 66.750 34.230 33.250 86.630 86.640 13.370 13.360 21.82 5.44 224 0.875 bicubic -11.344 -11.282 -6.752 -7.260 +13 +12
199 densenet161 dla60_res2next 65.710 66.740 34.290 33.260 86.510 87.030 13.490 12.970 28.68 17.03 224 0.875 bicubic bilinear -11.650 -11.582 -7.124 -7.160 +5 0
200 vit_small_patch16_224 gluon_resnet50_v1c 65.710 66.680 34.290 33.320 86.130 86.120 13.870 13.880 48.75 25.58 224 0.900 0.875 bicubic -12.144 -11.246 -7.294 -7.886 -7 +11
201 skresnet34 hrnet_w32 65.690 66.680 34.310 33.320 85.960 87.370 14.040 12.630 22.28 41.23 224 0.875 bicubic bilinear -11.240 -11.744 -7.362 -6.832 +16 -4
202 res2next50 wide_resnet101_2 65.610 66.660 34.390 33.340 85.790 87.060 14.210 12.940 24.67 126.89 224 0.875 bilinear -12.626 -12.250 -8.116 -7.284 -24 -25
203 selecsls42b regnetx_040 65.560 66.620 34.440 33.380 85.860 86.550 14.140 13.450 32.46 22.12 224 0.875 bicubic -11.624 -11.874 -7.528 -7.720 +7 -9
204 seresnext26t_32x4d tf_mixnet_l 65.440 66.550 34.560 33.450 86.140 86.530 13.860 13.470 16.82 7.33 224 0.875 bicubic -12.548 -12.252 -7.592 -7.524 -17 -21
205 tf_efficientnet_lite2 dla102 65.310 66.530 34.690 33.470 86.010 86.920 13.990 13.080 6.09 33.27 260 224 0.890 0.875 bicubic bilinear -12.172 -11.524 -7.738 -6.998 -4 +3
206 densenet201 selecsls60 65.300 66.530 34.700 33.470 85.660 86.400 14.340 13.600 20.01 30.67 224 0.875 bicubic -11.990 -11.384 -7.820 -7.422 0 +7
207 densenetblur121d selecsls60b 65.260 66.440 34.740 33.560 85.790 86.500 14.210 13.500 8.00 32.77 224 0.875 bicubic -11.326 -12.056 -7.406 -7.692 +16 -15
208 seresnext26d_32x4d adv_inception_v3 65.250 66.420 34.750 33.580 85.820 86.370 14.180 13.630 16.81 23.83 224 299 0.875 bicubic -12.336 -11.142 -7.788 -7.316 -11 +15
209 res2net50_48w_2s tf_inception_v3 65.220 66.380 34.780 33.620 85.910 86.540 14.090 13.460 25.29 23.83 224 299 0.875 bilinear bicubic -12.314 -11.424 -7.650 -7.184 -9 +8
210 tf_efficientnet_b0_ap efficientnet_b0 65.200 66.150 34.800 33.850 85.490 86.160 14.510 13.840 5.29 224 0.875 bicubic -11.902 -11.460 -7.774 -7.404 +3 +12
211 hrnet_w18 legacy_seresnet50 65.110 66.140 34.890 33.860 85.670 86.220 14.330 13.780 21.30 28.09 224 0.875 bilinear -11.654 -11.472 -7.772 -7.576 +9 +10
212 ese_vovnet19b_dw tf_efficientnet_cc_b0_8e 65.090 66.130 34.910 33.870 85.420 86.070 14.580 13.930 6.54 24.01 224 0.875 bicubic -11.728 -11.796 -7.858 -7.528 +7 0
213 dla60 regnety_016 65.070 66.070 34.930 33.930 85.700 86.320 14.300 13.680 22.04 11.20 224 0.875 bilinear bicubic -11.966 -11.734 -7.624 -7.330 +1 +5
214 tf_efficientnet_es gluon_resnet50_v1b 65.030 66.010 34.970 33.990 85.410 86.370 14.590 13.630 5.44 25.56 224 0.875 bicubic -12.254 -11.654 -8.194 -7.304 -7 +5
215 tf_efficientnet_cc_b0_4e tf_efficientnet_em 64.940 65.960 35.060 34.040 85.030 86.240 14.970 13.760 13.31 6.90 224 240 0.875 0.882 bicubic -12.380 -12.200 -8.292 -7.806 -10 -12
216 mobilenetv2_120d inception_v3 64.930 65.940 35.070 34.060 85.870 86.140 14.130 13.860 5.83 23.83 224 299 0.875 bicubic -12.348 -11.470 -7.640 -7.334 -8 +12
217 legacy_seresnext26_32x4d efficientnet_b1_pruned 64.820 65.930 35.180 34.070 85.540 86.510 14.460 13.490 16.79 6.33 224 240 0.875 0.882 bicubic -12.286 -12.344 -7.768 -7.298 -5 -17
218 mixnet_m res2net50_26w_4s 64.740 65.910 35.260 34.090 85.510 86.570 14.490 13.430 5.01 25.70 224 0.875 bicubic bilinear -12.534 -12.056 -7.912 -7.260 -9 -8
219 resnet26d res2net50_14w_8s 64.590 65.890 35.410 34.110 85.090 86.180 14.910 13.820 16.01 25.06 224 0.875 bicubic bilinear -12.098 -12.228 -8.056 -7.656 +2 -13
220 tf_efficientnet_lite1 rexnet_100 64.490 65.880 35.510 34.120 85.510 86.530 14.490 13.470 5.42 4.80 240 224 0.882 0.875 bicubic -12.176 -12.006 -7.728 -7.328 +2 -6
221 tf_mixnet_m skresnet34 64.470 65.860 35.530 34.140 84.930 85.860 15.070 14.140 5.01 22.28 224 0.875 bicubic -12.486 -11.050 -8.234 -7.412 -6 +21
222 densenet169 seresnext26t_32x4d 64.420 65.790 35.580 34.210 85.270 85.730 14.730 14.270 14.15 16.81 224 0.875 bicubic -11.478 -12.040 -7.752 -7.998 +7 -6
223 regnetx_016 res2next50 64.270 65.780 35.730 34.220 85.450 85.730 14.550 14.270 9.19 24.67 224 0.875 bicubic bilinear -12.676 -12.300 -7.976 -8.222 -7 -16
224 tf_efficientnet_b0 tv_resnext50_32x4d 64.150 65.780 35.850 34.220 85.170 85.940 14.830 14.060 5.29 25.03 224 0.875 bicubic bilinear -12.698 -11.848 -8.062 -7.740 -6 -4
225 dpn68 resnet34d 64.030 65.720 35.970 34.280 84.990 86.520 15.010 13.480 12.61 21.82 224 0.875 bicubic -12.282 -11.376 -7.978 -6.904 +1 +12
226 mobilenetv2_140 vit_small_patch16_224 63.850 65.690 36.150 34.310 84.950 86.070 15.050 13.930 6.11 48.75 224 0.875 0.900 bicubic -12.662 -12.182 -8.048 -7.322 -2 -11
227 densenet121 tv_resnet101 63.730 65.680 36.270 34.320 84.600 86.120 15.400 13.880 7.98 44.55 224 0.875 bicubic bilinear -11.834 -11.634 -8.048 -7.436 +6 +5
228 regnety_008 densenet161 63.720 65.660 36.280 34.340 85.240 86.480 14.760 13.520 6.26 28.68 224 0.875 bicubic -12.600 -11.678 -7.828 -7.208 -3 +1
229 mixnet_s repvgg_b1g4 63.540 65.560 36.460 34.440 84.710 86.020 15.290 13.980 4.13 39.97 224 0.875 bicubic bilinear -12.454 -11.980 -8.080 -7.774 -1 -5
230 resnest14d tf_efficientnet_lite2 63.540 65.410 36.460 34.590 84.020 85.950 15.980 14.050 10.61 6.09 224 260 0.875 0.890 bilinear bicubic -11.974 -12.030 -8.498 -7.812 +4 -3
231 resnet26 selecsls42b 63.440 65.390 36.560 34.610 84.220 85.830 15.780 14.170 16.00 32.46 224 0.875 bicubic -11.850 -11.706 -8.346 -7.562 +7 +5
232 tf_mixnet_s seresnext26d_32x4d 63.430 65.370 36.570 34.630 84.090 85.930 15.910 14.070 4.13 16.81 224 0.875 bicubic -12.252 -12.148 -8.548 -7.676 -1 -6
233 mobilenetv3_large_100 densenet201 63.310 65.360 36.690 34.640 84.050 85.620 15.950 14.380 5.48 20.01 224 0.875 bicubic -12.464 -11.960 -8.488 -7.862 -3 -2
234 mobilenetv3_rw densenetblur121d 63.270 65.250 36.730 34.750 84.560 85.820 15.440 14.180 5.48 8.00 224 0.875 bicubic -12.350 -11.224 -8.152 -7.276 -2 +18
235 tv_resnet50 res2net50_48w_2s 63.210 65.250 36.790 34.750 84.650 85.900 15.350 14.100 25.56 25.29 224 0.875 bilinear -12.948 -12.268 -8.228 -7.682 -8 -10
236 efficientnet_lite0 gernet_s 63.150 65.200 36.850 34.800 84.350 85.430 15.650 14.570 4.65 8.17 224 0.875 bicubic bilinear -12.352 -11.674 -8.164 -7.698 0 +7
237 semnasnet_100 dla60 63.060 65.180 36.940 34.820 84.450 85.580 15.550 14.420 3.89 22.04 224 0.875 bicubic bilinear -12.392 -11.744 -8.160 -7.710 0 +3
238 resnet34 ese_vovnet19b_dw 62.860 65.120 37.140 34.880 84.150 85.150 15.850 14.850 21.80 6.54 224 0.875 bilinear bicubic -12.246 -11.652 -8.126 +4 +8
239 tv_densenet121 tf_efficientnet_b0_ap 62.790 65.090 37.210 34.910 84.120 85.470 15.880 14.530 7.98 5.29 224 0.875 bicubic -11.952 -11.982 -8.034 -7.792 +8 -1
240 legacy_seresnet34 mobilenetv2_120d 62.770 64.970 37.230 35.030 84.200 85.820 15.800 14.180 21.96 5.83 224 0.875 bilinear bicubic -12.020 -12.358 -7.926 -7.658 +6 -10
241 regnety_006 hrnet_w18 62.740 64.920 37.260 35.080 84.110 85.710 15.890 14.290 6.06 21.30 224 0.875 bicubic bilinear -12.528 -11.912 -8.420 -7.694 -2 +3
242 hrnet_w18_small_v2 tf_efficientnet_cc_b0_4e 62.660 64.910 37.340 35.090 83.840 85.040 16.160 14.960 15.60 13.31 224 0.875 bilinear bicubic -12.448 -12.386 -8.572 -8.320 -1 -9
243 swsl_resnet18 legacy_seresnext26_32x4d 62.650 64.770 37.350 35.230 84.290 85.560 15.710 14.440 11.69 16.79 224 0.875 bilinear bicubic -10.630 -12.346 -7.468 -7.798 +13 -8
244 mobilenetv2_110d mixnet_m 62.620 64.700 37.380 35.300 84.450 85.460 15.550 14.540 4.52 5.01 224 0.875 bicubic -12.428 -12.476 -7.740 -7.966 0 -10
245 tf_efficientnet_lite0 resnet26d 62.550 64.660 37.450 35.340 84.160 85.140 15.840 14.860 4.65 16.01 224 0.875 bicubic -12.282 -11.940 -8.014 -8.048 0 +3
246 dla34 tf_mixnet_m 62.500 64.510 37.500 35.490 83.870 85.030 16.130 14.970 15.74 5.01 224 0.875 bilinear bicubic -12.124 -12.454 -8.192 -8.182 +3 -7
247 regnetx_008 tf_efficientnet_lite1 62.500 64.490 37.500 35.510 83.970 85.610 16.030 14.390 7.26 5.42 224 240 0.875 0.882 bicubic -12.552 -12.138 -8.372 -7.638 -4 0
248 gluon_resnet34_v1b densenet169 62.450 64.350 37.550 35.650 83.920 85.160 16.080 14.840 21.80 14.15 224 0.875 bicubic -12.138 -11.600 -8.076 -7.834 +2 +9
249 fbnetc_100 regnetx_016 62.370 64.330 37.630 35.670 83.370 85.480 16.630 14.520 5.57 9.19 224 0.875 bilinear bicubic -12.746 -12.584 -9.004 -7.892 -9 -8
250 tf_mobilenetv3_large_100 repvgg_a2 62.230 64.260 37.770 35.740 83.840 85.240 16.160 14.760 5.48 28.21 224 0.875 bilinear -13.280 -12.228 -8.770 -7.782 -15 +1
251 regnety_004 tf_efficientnet_b0 61.960 64.200 38.040 35.800 83.450 85.200 16.550 14.800 4.34 5.29 224 0.875 bicubic -12.058 -12.630 -8.314 -8.072 +1 -6
252 mnasnet_100 dpn68 61.900 63.870 38.100 36.130 83.740 85.080 16.260 14.920 4.38 12.61 224 0.875 bicubic -12.770 -12.508 -8.362 -7.898 -4 +1
253 ssl_resnet18 mobilenetv2_140 61.520 63.850 38.480 36.150 83.290 84.840 16.710 15.160 11.69 6.11 224 0.875 bilinear bicubic -11.096 -12.688 -8.126 -8.104 +6 -3
254 tv_resnet34 tf_efficientnet_es 61.150 63.830 38.850 36.170 82.640 84.600 17.360 15.400 21.80 5.44 224 0.875 bilinear bicubic -12.154 -12.732 -8.784 -8.584 +1 -5
255 regnetx_006 regnety_008 61.130 63.780 38.870 36.220 83.240 85.320 16.760 14.680 6.20 6.26 224 0.875 bicubic -12.714 -12.544 -8.438 -7.780 -2 -1
256 spnasnet_100 mixnet_s 61.070 63.690 38.930 36.310 82.770 84.640 17.230 15.360 4.42 4.13 224 0.875 bilinear bicubic -13.010 -12.372 -9.050 -8.186 -5 -1
257 skresnet18 densenet121 60.820 63.600 39.180 36.400 82.870 84.570 17.130 15.430 11.96 7.98 224 0.875 bicubic -12.206 -11.930 -8.302 -8.046 0 +5
258 tf_mobilenetv3_large_075 resnet26 60.370 63.470 39.630 36.530 81.790 84.280 18.210 15.720 3.99 16.00 224 0.875 bilinear bicubic -13.078 -11.924 -9.552 -8.304 -4 +8
259 mobilenetv2_100 tf_mixnet_s 60.210 63.450 39.790 36.550 82.030 84.240 17.970 15.760 3.50 4.13 224 0.875 bicubic -12.740 -12.208 -8.972 -8.378 -1 0
260 resnet18d mobilenetv3_large_100 59.860 63.320 40.140 36.680 82.310 84.090 17.690 15.910 11.71 5.48 224 0.875 bicubic -12.414 -12.390 -8.378 -8.406 +2 -2
261 legacy_seresnet18 resnest14d 59.710 63.290 40.290 36.710 81.610 84.110 18.390 15.890 11.78 10.61 224 0.875 bicubic bilinear -12.026 -12.298 -8.732 -8.378 +3 -1
262 regnetx_004 tv_resnet50 59.250 63.280 40.750 36.720 81.830 84.660 18.170 15.340 5.16 25.56 224 0.875 bicubic bilinear -13.144 -12.732 -8.988 -8.274 -2 -6
263 tf_mobilenetv3_large_minimal_100 mobilenetv3_rw 59.040 63.090 40.960 36.910 80.890 84.400 19.110 15.600 3.92 5.48 224 0.875 bilinear bicubic -13.204 -12.452 -9.746 -8.276 0 -2
264 hrnet_w18_small efficientnet_lite0 58.900 63.060 41.100 36.940 81.310 84.450 18.690 15.550 13.19 4.65 224 0.875 bilinear bicubic -13.436 -12.384 -9.374 -8.094 -3 0
265 gluon_resnet18_v1b regnety_006 58.300 63.060 41.700 36.940 80.990 84.100 19.010 15.900 11.69 6.06 224 0.875 bicubic -12.538 -12.146 -8.768 -8.460 0 +3
266 resnet18 semnasnet_100 57.250 63.060 42.750 36.940 80.100 84.300 19.900 15.700 11.69 3.89 224 0.875 bilinear bicubic -12.492 -12.366 -8.986 -8.248 +1 -1
267 regnety_002 resnet34 56.980 62.890 43.020 37.110 79.820 84.110 20.180 15.890 3.16 21.80 224 0.875 bicubic bilinear -13.298 -12.206 -9.726 -8.136 -1 +3
268 dla60x_c legacy_seresnet34 56.100 62.800 43.900 37.200 78.950 84.120 21.050 15.880 1.32 21.96 224 0.875 bilinear -11.812 -12.112 -9.468 -8.044 +2 +6
269 regnetx_002 hrnet_w18_small_v2 55.820 62.770 44.180 37.230 79.230 83.950 20.770 16.050 2.68 15.60 224 0.875 bicubic bilinear -12.934 -12.394 -9.330 -8.480 -1 0
270 tf_mobilenetv3_small_100 vit_deit_tiny_distilled_patch16_224 54.530 62.770 45.470 37.230 77.020 83.830 22.980 16.170 2.54 5.91 224 0.875 0.900 bilinear bicubic -13.392 -11.724 -10.656 -8.054 -1 +10
271 dla46x_c regnetx_008 53.130 62.760 46.870 37.240 76.800 83.970 23.200 16.030 1.07 7.26 224 0.875 bilinear bicubic -12.846 -12.266 -10.188 -8.362 0 +2
272 tf_mobilenetv3_small_075 repvgg_b0 52.360 62.670 47.640 37.330 75.470 83.880 24.530 16.120 2.04 15.82 224 0.875 bilinear -13.364 -12.544 -10.664 -8.574 0 -5
273 dla46_c mobilenetv2_110d 52.020 62.650 47.980 37.350 75.730 84.500 24.270 15.500 1.30 4.52 224 0.875 bilinear bicubic -12.850 -12.398 -10.564 -7.632 0 -1
274 tf_mobilenetv3_small_minimal_100 tv_densenet121 49.570 62.610 50.430 37.390 72.830 83.880 27.170 16.120 2.04 7.98 224 0.875 bilinear bicubic -13.340 -12.136 -11.414 -8.250 0 +2
275 pnasnet5large dla34 1.000 62.580 99.000 37.420 18.050 83.880 81.950 16.120 86.06 15.74 331 224 0.911 0.875 bicubic bilinear +0.016 -12.056 -0.526 -8.242 +2 +3
276 inception_resnet_v2 swsl_resnet18 0.990 62.560 99.010 37.440 16.530 84.420 83.470 15.580 55.85 11.69 299 224 0.897 0.875 bicubic bilinear +0.040 -10.758 -0.764 -7.332 +2 +11
277 ens_adv_inception_resnet_v2 gluon_resnet34_v1b 0.970 62.460 99.030 37.540 16.450 83.880 83.550 16.120 55.85 21.80 299 224 0.897 0.875 bicubic -0.028 -12.036 -0.874 -8.128 -1 +2
278 inception_v4 tf_mobilenetv3_large_100 0.950 62.400 99.050 37.600 16.030 83.900 83.970 16.100 42.68 5.48 299 224 0.875 bicubic bilinear -0.058 -13.120 -0.824 -8.650 -3 -15
279 tf_efficientnet_lite0 62.330 37.670 84.100 15.900 4.65 224 0.875 bicubic -12.538 -8.030 -4
280 fbnetc_100 62.160 37.840 83.400 16.600 5.57 224 0.875 bilinear -12.922 -8.954 -9
281 regnety_004 62.070 37.930 83.490 16.510 4.34 224 0.875 bicubic -11.872 -8.264 +3
282 vgg19_bn 61.870 38.130 83.400 16.600 143.68 224 0.875 bilinear -12.346 -8.448 -1
283 mnasnet_100 61.790 38.210 83.780 16.220 4.38 224 0.875 bicubic -12.902 -8.360 -6
284 ssl_resnet18 61.400 38.600 83.310 16.690 11.69 224 0.875 bilinear -11.092 -8.132 +8
285 regnetx_006 61.280 38.720 83.120 16.880 6.20 224 0.875 bicubic -12.682 -8.564 -2
286 spnasnet_100 61.200 38.800 82.740 17.260 4.42 224 0.875 bilinear -12.920 -9.142 -4
287 tv_resnet34 61.010 38.990 82.640 17.360 21.80 224 0.875 bilinear -12.256 -8.790 +1
288 skresnet18 60.850 39.150 82.840 17.160 11.96 224 0.875 bicubic -12.150 -8.316 +1
289 vgg16_bn 60.690 39.310 83.060 16.940 138.37 224 0.875 bilinear -12.786 -8.476 -4
290 tf_mobilenetv3_large_075 60.370 39.630 81.710 18.290 3.99 224 0.875 bilinear -13.002 -9.694 -4
291 mobilenetv2_100 60.160 39.840 82.140 17.860 3.50 224 0.875 bicubic -12.796 -8.902 -1
292 resnet18d 59.830 40.170 82.380 17.620 11.71 224 0.875 bicubic -12.550 -8.330 +1
293 legacy_seresnet18 59.700 40.300 81.630 18.370 11.78 224 0.875 bicubic -12.052 -8.678 +5
294 vit_deit_tiny_patch16_224 59.700 40.300 82.730 17.270 5.72 224 0.900 bicubic -12.496 -8.362 +3
295 vgg19 59.570 40.430 81.360 18.640 143.67 224 0.875 bilinear -12.790 -9.490 -1
296 regnetx_004 59.540 40.460 81.730 18.270 5.16 224 0.875 bicubic -12.996 -9.112 -5
297 vgg13_bn 59.080 40.920 81.080 18.920 133.05 224 0.875 bilinear -12.538 -9.280 +3
298 hrnet_w18_small 58.980 41.020 81.260 18.740 13.19 224 0.875 bilinear -13.296 -9.326 -3
299 tf_mobilenetv3_large_minimal_100 58.980 41.020 80.980 19.020 3.92 224 0.875 bilinear -13.248 -9.702 -3
300 vgg16 58.550 41.450 81.580 18.420 138.36 224 0.875 bilinear -13.078 -8.788 -1
301 gluon_resnet18_v1b 58.210 41.790 81.080 18.920 11.69 224 0.875 bicubic -12.712 -8.690 0
302 resnet18 57.100 42.900 80.100 19.900 11.69 224 0.875 bilinear -12.544 -8.882 +3
303 vgg13 57.100 42.900 79.600 20.400 133.05 224 0.875 bilinear -12.884 -9.706 +1
304 vgg11_bn 57.050 42.950 79.830 20.170 132.87 224 0.875 bilinear -13.358 -9.894 -2
305 regnety_002 56.910 43.090 79.870 20.130 3.16 224 0.875 bicubic -13.416 -9.686 -2
306 dla60x_c 56.170 43.830 78.880 21.120 1.32 224 0.875 bilinear -11.782 -9.558 +2
307 regnetx_002 55.900 44.100 79.140 20.860 2.68 224 0.875 bicubic -12.930 -9.370 0
308 vgg11 55.800 44.200 78.650 21.350 132.86 224 0.875 bilinear -13.072 -10.008 -2
309 tf_mobilenetv3_small_100 54.360 45.640 77.000 23.000 2.54 224 0.875 bilinear -13.516 -10.682 0
310 dla46x_c 53.030 46.970 76.730 23.270 1.07 224 0.875 bilinear -12.900 -10.274 0
311 tf_mobilenetv3_small_075 52.220 47.780 75.460 24.540 2.04 224 0.875 bilinear -13.512 -10.708 0
312 dla46_c 51.980 48.020 75.560 24.440 1.30 224 0.875 bilinear -12.950 -10.748 0
313 tf_mobilenetv3_small_minimal_100 49.370 50.630 72.840 27.160 2.04 224 0.875 bilinear -13.374 -11.540 0

589
results/results-sketch.csv
Unescape View File

@ -1,278 +1,313 @@
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,58.832,41.168,81.078,18.922,828.41,224,0.875,bilinear,-27.616,-16.802,+3 ig_resnext101_32x48d,58.850,41.150,81.080,18.920,828.41,224,0.875,bilinear,-26.652,-16.468,+9
ig_resnext101_32x32d,58.411,41.589,80.424,19.576,468.53,224,0.875,bilinear,-26.739,-17.046,+8 ig_resnext101_32x32d,58.429,41.571,80.371,19.629,468.53,224,0.875,bilinear,-26.717,-17.085,+14
ig_resnext101_32x16d,57.675,42.325,79.895,20.105,194.03,224,0.875,bilinear,-26.528,-17.322,+19 ig_resnext101_32x16d,57.663,42.337,79.882,20.118,194.03,224,0.875,bilinear,-26.505,-17.314,+29
swsl_resnext101_32x16d,57.449,42.551,80.391,19.609,194.03,224,0.875,bilinear,-25.895,-16.449,+27 swsl_resnext101_32x16d,57.466,42.534,80.406,19.594,194.03,224,0.875,bilinear,-25.998,-16.460,+36
swsl_resnext101_32x8d,56.438,43.562,78.950,21.050,88.79,224,0.875,bilinear,-27.944,-18.416,+14 swsl_resnext101_32x8d,56.460,43.540,78.936,21.064,88.79,224,0.875,bilinear,-27.872,-18.218,+24
ig_resnext101_32x8d,54.927,45.073,77.524,22.476,88.79,224,0.875,bilinear,-27.769,-19.120,+35 ig_resnext101_32x8d,54.918,45.082,77.531,22.468,88.79,224,0.875,bilinear,-27.742,-19.153,+46
swsl_resnext101_32x4d,53.583,46.417,76.372,23.628,44.18,224,0.875,bilinear,-29.639,-20.396,+27 swsl_resnext101_32x4d,53.601,46.399,76.315,23.685,44.18,224,0.875,bilinear,-29.651,-20.453,+36
tf_efficientnet_l2_ns_475,51.434,48.566,73.841,26.159,480.31,475,0.936,bicubic,-32.306,-22.929,-8 tf_efficientnet_l2_ns_475,51.485,48.515,73.918,26.082,480.31,475,0.936,bicubic,-36.745,-24.628,-6
swsl_resnext50_32x4d,50.412,49.588,73.362,26.638,25.03,224,0.875,bilinear,-31.760,-22.870,+40 swsl_resnext50_32x4d,50.396,49.604,73.356,26.644,25.03,224,0.875,bilinear,-31.790,-22.908,+50
swsl_resnet50,49.525,50.475,72.354,27.646,25.56,224,0.875,bilinear,-31.611,-23.620,+58 swsl_resnet50,49.547,50.453,72.352,27.648,25.56,224,0.875,bilinear,-31.577,-23.636,+74
tf_efficientnet_b6_ns,47.729,52.271,69.927,30.073,43.04,528,0.942,bicubic,-40.511,-28.623,-9 tf_efficientnet_b7_ns,47.784,52.216,69.644,30.356,66.35,600,0.949,bicubic,-39.046,-28.448,-8
tf_efficientnet_b7_ns,47.718,52.282,69.604,30.396,66.35,600,0.949,bicubic,-40.632,-29.052,-11 tf_efficientnet_b6_ns,47.773,52.227,69.966,30.034,43.04,528,0.942,bicubic,-38.689,-27.912,-8
tf_efficientnet_l2_ns,47.478,52.522,69.919,30.081,480.31,800,0.960,bicubic,-36.886,-27.121,-14 tf_efficientnet_l2_ns,47.598,52.402,69.978,30.022,480.31,800,0.960,bicubic,-40.738,-28.686,-12
tf_efficientnet_b8_ap,45.766,54.234,67.915,32.086,87.41,672,0.954,bicubic,-40.312,-29.838,-9 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_b5_ns,45.603,54.397,67.826,32.174,30.39,456,0.934,bicubic,-41.225,-30.258,-12 tf_efficientnet_b5_ns,45.595,54.405,67.852,32.148,30.39,456,0.934,bicubic,-40.477,-29.896,-9
vit_base_resnet50_384,43.512,56.488,66.808,33.192,98.95,384,1.000,bicubic,-41.608,-30.442,-5 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_b4_ns,43.444,56.556,65.474,34.526,19.34,380,0.922,bicubic,-41.906,-31.916,-9 tf_efficientnet_b4_ns,43.438,56.562,65.550,34.450,19.34,380,0.922,bicubic,-41.756,-31.950,-3
vit_large_patch16_384,43.308,56.692,66.453,33.547,304.72,384,1.000,bicubic,-42.066,-30.845,-11 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_b8,42.492,57.508,64.867,35.133,87.41,672,0.954,bicubic,-42.931,-32.711,-13 tf_efficientnet_b8,42.492,57.508,64.876,35.123,87.41,672,0.954,bicubic,-42.892,-32.524,-7
tf_efficientnet_b7_ap,41.451,58.549,62.898,37.102,66.35,600,0.949,bicubic,-43.715,-34.464,-11 dm_nfnet_f6,41.600,58.400,63.181,36.819,438.36,576,0.956,bicubic,-44.706,-34.561,-15
tf_efficientnet_b7,41.447,58.553,63.051,36.949,66.35,600,0.949,bicubic,-43.539,-34.245,-8 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_b5_ap,41.408,58.592,62.098,37.902,30.39,456,0.934,bicubic,-42.862,-35.072,-2 tf_efficientnet_b7,41.449,58.551,63.037,36.963,66.35,600,0.949,bicubic,-43.487,-34.171,-2
resnetv2_152x4_bitm,41.235,58.765,64.281,35.719,936.53,480,1.000,bilinear,-43.855,-33.159,-11 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_b6_ap,41.113,58.887,62.381,37.619,43.04,528,0.942,bicubic,-43.835,-35.069,-10 resnetv2_152x4_bitm,41.247,58.753,64.248,35.752,936.53,480,1.000,bilinear,-43.669,-33.196,-2
vit_large_patch16_224,40.730,59.270,63.584,36.416,304.33,224,0.900,bicubic,-42.330,-32.861,+11 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_b4_ap,40.480,59.520,61.736,38.264,19.34,380,0.922,bicubic,-42.776,-34.658,+6 dm_nfnet_f5,41.009,58.991,61.927,38.073,377.21,544,0.954,bicubic,-44.711,-35.509,-18
tf_efficientnet_b3_ns,39.511,60.489,61.453,38.547,12.23,300,0.904,bicubic,-44.602,-35.435,-3 dm_nfnet_f3,40.875,59.125,62.008,37.992,254.92,416,0.940,bicubic,-44.707,-35.383,-18
resnet200d,38.666,61.334,59.144,40.856,64.69,256,0.940,bicubic,-44.576,-37.344,+5 vit_large_patch16_224,40.681,59.319,63.546,36.454,304.33,224,0.900,bicubic,-42.379,-32.878,+18
resnet152d,38.484,61.516,59.209,40.791,60.21,256,0.940,bicubic,-44.650,-37.141,+6 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_b5,38.362,61.638,59.919,40.081,30.39,456,0.934,bicubic,-45.490,-36.971,-3 tf_efficientnet_b3_ns,39.675,60.325,61.473,38.527,12.23,300,0.904,bicubic,-44.337,-35.437,+4
vit_base_patch16_384,38.128,61.872,60.435,39.565,86.86,384,1.000,bicubic,-46.126,-36.538,-10 ecaresnet269d,39.594,60.406,60.308,39.692,102.09,352,1.000,bicubic,-45.332,-36.928,-10
seresnet152d,38.044,61.956,58.315,41.685,66.84,256,0.940,bicubic,-45.708,-38.805,+30 dm_nfnet_f4,39.439,60.561,60.410,39.590,316.07,512,0.951,bicubic,-46.287,-37.108,-25
resnet152d_320,37.880,62.120,58.368,41.632,60.21,320,1.000,bicubic,-45.785,-38.366,-2 tf_efficientnet_b5,38.346,61.654,59.934,40.066,30.39,456,0.934,bicubic,-45.474,-36.826,+4
resnet200d_320,37.509,62.491,58.307,41.693,64.69,320,1.000,bicubic,-46.535,-38.603,-8 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
resnest269e,37.299,62.701,57.460,42.540,110.93,416,0.928,bicubic,-47.635,-39.744,-19 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_ap,37.061,62.939,57.248,42.752,12.23,300,0.904,bicubic,-44.761,-38.372,+19 resnet152d,37.859,62.141,58.388,41.612,60.21,320,1.000,bicubic,-45.805,-38.338,+3
resnetv2_152x2_bitm,36.835,63.165,59.917,40.083,236.34,480,1.000,bilinear,-47.951,-37.221,-20 resnet200d,37.478,62.522,58.284,41.716,64.69,320,1.000,bicubic,-46.522,-38.540,-2
seresnet152d_320,36.809,63.191,56.729,43.271,66.84,320,1.000,bicubic,-47.594,-40.705,+18 resnest269e,37.293,62.707,57.443,42.557,110.93,416,0.928,bicubic,-47.225,-39.559,-13
efficientnet_b3a,36.426,63.574,56.843,43.157,12.23,320,1.000,bicubic,-45.828,-39.271,+9 tf_efficientnet_b3_ap,37.126,62.874,57.297,42.703,12.23,300,0.904,bicubic,-44.676,-38.303,+27
tf_efficientnet_b2_ns,36.139,63.861,57.515,42.485,9.11,260,0.890,bicubic,-46.253,-38.723,+5 resnetv2_152x2_bitm,36.837,63.163,59.866,40.134,236.34,480,1.000,bilinear,-47.591,-37.586,-14
efficientnet_b3,36.045,63.955,56.391,43.609,12.23,300,0.904,bicubic,-46.037,-39.635,+11 seresnet152d,36.768,63.232,56.672,43.328,66.84,320,1.000,bicubic,-47.582,-40.370,-13
ecaresnet101d,36.008,63.992,56.199,43.801,44.57,224,0.875,bicubic,-46.168,-39.857,+8 efficientnet_b3a,36.432,63.568,56.788,43.212,12.23,320,1.000,bicubic,-45.800,-39.338,+15
resnest200e,35.941,64.059,55.877,44.123,70.20,320,0.909,bicubic,-48.027,-40.941,-15 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
swsl_resnet18,35.852,64.147,58.462,41.538,11.69,224,0.875,bilinear,-37.428,-33.295,+211 dm_nfnet_f2,36.269,63.731,55.882,44.118,193.78,352,0.920,bicubic,-48.699,-41.242,-25
resnet101d,35.829,64.171,55.385,44.615,44.57,256,0.940,bicubic,-46.481,-40.679,+1 tf_efficientnet_b2_ns,36.218,63.782,57.517,42.483,9.11,260,0.890,bicubic,-46.148,-38.743,+9
vit_base_patch16_224,35.784,64.216,57.388,42.612,86.57,224,0.900,bicubic,-46.000,-38.738,+11 efficientnet_b3,36.039,63.961,56.350,43.650,12.23,300,0.904,bicubic,-45.993,-39.686,+16
resnest101e,35.397,64.603,55.800,44.200,48.28,256,0.875,bilinear,-47.481,-40.514,-5 ecaresnet101d,36.010,63.990,56.132,43.868,44.57,224,0.875,bicubic,-46.108,-39.908,+14
resnetv2_101x3_bitm,35.292,64.707,57.885,42.115,387.93,480,1.000,bilinear,-49.234,-39.101,-29 resnest200e,35.888,64.112,55.880,44.120,70.20,320,0.909,bicubic,-47.952,-40.978,-12
resnet101d_320,34.864,65.136,54.218,45.782,44.57,320,1.000,bicubic,-48.160,-42.238,-8 swsl_resnet18,35.809,64.191,58.380,41.620,11.69,224,0.875,bilinear,-37.509,-33.372,+237
ssl_resnext101_32x16d,34.609,65.391,55.951,44.049,194.03,224,0.875,bilinear,-47.229,-40.141,+5 vit_base_patch16_224,35.691,64.309,57.390,42.610,86.57,224,0.900,bicubic,-46.089,-38.722,+17
regnety_032,34.402,65.598,54.281,45.719,19.44,224,0.875,bicubic,-47.606,-41.631,+3 resnest101e,35.369,64.631,55.835,44.165,48.28,256,0.875,bilinear,-47.455,-40.475,-1
resnest50d_4s2x40d,34.361,65.639,54.733,45.267,30.42,224,0.875,bicubic,-46.753,-40.821,+19 resnetv2_101x3_bitm,35.230,64.770,57.863,42.137,387.93,480,1.000,bilinear,-49.162,-39.495,-25
tf_efficientnet_b1_ns,34.108,65.892,55.462,44.538,7.79,240,0.882,bicubic,-47.278,-40.278,+13 dm_nfnet_f1,35.198,64.802,54.375,45.625,132.63,320,0.910,bicubic,-49.396,-42.705,-29
tf_efficientnet_b4,34.066,65.934,54.200,45.800,19.34,380,0.922,bicubic,-48.960,-42.098,-14 repvgg_b3g4,35.043,64.957,54.774,45.226,83.83,224,0.875,bilinear,-45.195,-40.294,+64
ssl_resnext101_32x8d,34.047,65.953,55.596,44.404,88.79,224,0.875,bilinear,-47.559,-40.448,+7 repvgg_b3,34.980,65.020,54.576,45.424,123.09,224,0.875,bilinear,-45.460,-40.618,+49
tf_efficientnet_b6,34.037,65.963,54.558,45.442,43.04,528,0.942,bicubic,-50.127,-42.636,-31 resnet101d,34.878,65.122,54.210,45.790,44.57,320,1.000,bicubic,-48.122,-42.250,-8
efficientnet_b3_pruned,34.017,65.983,54.124,45.876,9.86,300,0.904,bicubic,-46.841,-41.116,+21 vit_large_patch32_384,34.660,65.340,55.674,44.326,306.63,384,1.000,bicubic,-46.846,-40.434,+17
tresnet_xl,33.274,66.726,52.312,47.688,78.44,224,0.875,bilinear,-48.780,-43.620,-5 dm_nfnet_f0,34.652,65.348,54.747,45.253,71.49,256,0.900,bicubic,-48.718,-41.811,-16
resnest50d_1s4x24d,33.151,66.849,52.852,47.148,25.68,224,0.875,bicubic,-47.853,-42.474,+14 ssl_resnext101_32x16d,34.628,65.372,55.955,44.045,194.03,224,0.875,bilinear,-47.218,-40.177,+6
rexnet_200,32.986,67.014,52.947,47.053,16.37,224,0.875,bicubic,-48.641,-42.725,+1 repvgg_b2g4,34.618,65.382,54.786,45.214,61.76,224,0.875,bilinear,-44.785,-39.920,+93
resnest50d,32.980,67.020,52.717,47.283,27.48,224,0.875,bilinear,-47.978,-42.661,+13 regnety_032,34.447,65.552,54.304,45.696,19.44,224,0.875,bicubic,-47.569,-41.628,+2
tf_efficientnet_b3,32.842,67.158,52.956,47.044,12.23,300,0.904,bicubic,-48.804,-42.766,-2 resnest50d_4s2x40d,34.381,65.619,54.737,45.263,30.42,224,0.875,bicubic,-46.767,-40.815,+21
nasnetalarge,32.775,67.225,50.150,49.850,88.75,331,0.911,bicubic,-49.851,-45.900,-19 tf_efficientnet_b1_ns,34.131,65.869,55.472,44.528,7.79,240,0.882,bicubic,-47.267,-40.258,+13
gluon_resnet152_v1d,32.748,67.252,51.080,48.920,60.21,224,0.875,bicubic,-47.730,-44.120,+22 tf_efficientnet_b4,34.088,65.912,54.269,45.731,19.34,380,0.922,bicubic,-48.886,-42.023,-15
tf_efficientnet_b2_ap,32.669,67.331,52.247,47.753,9.11,260,0.890,bicubic,-47.633,-42.785,+31 efficientnet_b3_pruned,34.033,65.967,54.051,45.949,9.86,300,0.904,bicubic,-46.787,-41.173,+27
tresnet_l,32.557,67.443,51.145,48.855,55.99,224,0.875,bilinear,-48.929,-44.475,-2 tf_efficientnet_b6,33.976,66.024,54.534,45.466,43.04,528,0.942,bicubic,-50.146,-42.356,-33
wide_resnet50_2,32.484,67.516,51.463,48.537,68.88,224,0.875,bicubic,-48.968,-44.059,-2 ssl_resnext101_32x8d,33.968,66.032,55.560,44.440,88.79,224,0.875,bilinear,-47.632,-40.462,+5
vit_base_patch32_384,32.471,67.529,52.457,47.543,88.30,384,1.000,bicubic,-49.185,-43.673,-9 gernet_l,33.329,66.671,51.840,48.160,31.08,256,0.875,bilinear,-48.015,-43.700,+9
resnetv2_50x3_bitm,32.469,67.531,54.293,45.707,217.32,480,1.000,bilinear,-51.339,-42.453,-39 tresnet_xl,33.257,66.743,52.288,47.712,78.44,224,0.875,bilinear,-48.909,-43.646,-9
gluon_resnet152_v1s,32.333,67.667,50.528,49.472,60.32,224,0.875,bicubic,-48.685,-44.892,+2 resnest50d_1s4x24d,33.178,66.822,52.815,47.185,25.68,224,0.875,bicubic,-47.760,-42.503,+18
gluon_seresnext101_64x4d,32.219,67.781,50.343,49.657,88.23,224,0.875,bicubic,-48.665,-44.971,+5 rexnet_200,32.978,67.022,52.886,47.114,16.37,224,0.875,bicubic,-48.710,-42.804,-2
gluon_seresnext101_32x4d,32.115,67.885,51.231,48.769,48.96,224,0.875,bicubic,-48.757,-44.061,+5 resnest50d,32.948,67.052,52.581,47.419,27.48,224,0.875,bilinear,-48.022,-42.769,+15
seresnext50_32x4d,32.019,67.981,51.253,48.747,27.56,224,0.875,bicubic,-49.255,-44.365,-5 tf_efficientnet_b3,32.870,67.130,52.917,47.083,12.23,300,0.904,bicubic,-48.756,-42.789,-2
cspresnext50,31.816,68.184,51.602,48.398,20.57,224,0.875,bilinear,-48.230,-43.342,+33 pnasnet5large,32.848,67.152,50.457,49.543,86.06,331,0.911,bicubic,-49.938,-45.619,-23
resnet50,31.571,68.429,50.178,49.822,25.56,224,0.875,bicubic,-47.465,-44.214,+75 nasnetalarge,32.764,67.237,50.091,49.909,88.75,331,0.911,bicubic,-49.877,-45.961,-22
ssl_resnext101_32x4d,31.463,68.537,52.139,47.861,44.18,224,0.875,bilinear,-49.451,-43.595,-1 inception_resnet_v2,32.750,67.250,50.645,49.355,55.84,299,0.897,bicubic,-47.698,-44.647,+27
rexnet_150,31.372,68.628,51.296,48.704,9.73,224,0.875,bicubic,-48.938,-43.866,+17 gernet_m,32.695,67.305,51.927,48.073,21.14,224,0.875,bilinear,-48.035,-43.285,+17
cspresnet50,31.264,68.736,51.231,48.769,21.62,256,0.887,bilinear,-48.310,-43.477,+47 gluon_resnet152_v1d,32.657,67.343,51.025,48.975,60.21,224,0.875,bicubic,-47.823,-44.237,+23
gluon_resnet101_v1s,31.152,68.848,49.828,50.172,44.67,224,0.875,bicubic,-49.134,-45.332,+18 tf_efficientnet_b2_ap,32.655,67.345,52.219,47.781,9.11,260,0.890,bicubic,-47.585,-42.764,+38
ecaresnetlight,31.138,68.862,50.256,49.744,30.16,224,0.875,bicubic,-49.320,-44.994,+8 tresnet_l,32.581,67.419,51.151,48.849,55.99,224,0.875,bilinear,-48.909,-44.434,-5
tf_efficientnet_cc_b0_8e,31.085,68.915,50.771,49.229,24.01,224,0.875,bicubic,-46.823,-42.881,+107 vit_base_patch32_384,32.547,67.453,52.438,47.562,88.30,384,1.000,bicubic,-49.117,-43.690,-11
ecaresnet50d,31.079,68.921,50.854,49.146,25.58,224,0.875,bicubic,-49.535,-44.454,+1 wide_resnet50_2,32.431,67.569,51.534,48.466,68.88,224,0.875,bicubic,-48.875,-44.054,-3
resnet50d,31.036,68.964,49.846,50.154,25.58,224,0.875,bicubic,-49.512,-45.312,+2 ens_adv_inception_resnet_v2,32.408,67.592,50.435,49.565,55.84,299,0.897,bicubic,-47.522,-44.515,+46
cspdarknet53,31.017,68.984,50.406,49.594,27.64,256,0.887,bilinear,-49.032,-44.686,+22 resnetv2_50x3_bitm,32.384,67.616,54.271,45.729,217.32,480,1.000,bilinear,-51.416,-42.839,-46
gluon_resnet152_v1c,31.011,68.989,48.940,51.060,60.21,224,0.875,bicubic,-48.903,-45.908,+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
tresnet_m,30.999,69.001,48.692,51.308,31.39,224,0.875,bilinear,-49.805,-46.166,-6 gluon_resnet152_v1s,32.309,67.691,50.547,49.453,60.32,224,0.875,bicubic,-48.710,-44.879,0
gluon_resnext101_64x4d,30.997,69.003,48.555,51.445,83.46,224,0.875,bicubic,-49.633,-46.443,-5 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
ecaresnet101d_pruned,30.901,69.099,50.013,49.987,24.88,224,0.875,bicubic,-49.915,-45.625,-9 gluon_seresnext101_64x4d,32.239,67.761,50.359,49.641,88.23,224,0.875,bicubic,-48.613,-44.977,+3
gluon_resnext101_32x4d,30.887,69.113,48.559,51.441,44.18,224,0.875,bicubic,-49.447,-46.349,+4 gluon_seresnext101_32x4d,32.062,67.938,51.288,48.712,48.96,224,0.875,bicubic,-48.816,-43.986,+1
tf_efficientnet_cc_b1_8e,30.887,69.113,50.080,49.920,39.72,240,0.882,bicubic,-48.439,-44.292,+42 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_lite4,30.849,69.150,50.404,49.596,13.01,380,0.920,bilinear,-50.687,-45.256,-28 seresnext50_32x4d,31.991,68.009,51.192,48.808,27.56,224,0.875,bicubic,-49.279,-44.464,-11
ese_vovnet39b,30.690,69.310,49.871,50.129,24.57,224,0.875,bicubic,-48.622,-44.851,+42 cspresnext50,31.838,68.162,51.599,48.401,20.57,224,0.875,bilinear,-48.168,-43.333,+35
dpn107,30.673,69.327,48.834,51.166,86.92,224,0.875,bicubic,-49.483,-46.076,+10 resnet50,31.518,68.482,50.184,49.816,25.56,224,0.875,bicubic,-47.486,-44.208,+81
tresnet_xl_448,30.622,69.379,49.077,50.923,78.44,448,0.875,bilinear,-52.434,-47.109,-55 ssl_resnext101_32x4d,31.353,68.647,52.070,47.930,44.18,224,0.875,bilinear,-49.671,-43.678,-9
gluon_resnet152_v1b,30.616,69.384,48.519,51.481,60.19,224,0.875,bicubic,-49.076,-46.215,+26 rexnet_150,31.327,68.673,51.223,48.777,9.73,224,0.875,bicubic,-49.023,-43.979,+14
ssl_resnext50_32x4d,30.606,69.394,50.691,49.309,25.03,224,0.875,bilinear,-49.696,-44.721,-1 cspresnet50,31.299,68.701,51.198,48.802,21.62,256,0.887,bilinear,-48.282,-43.514,+51
gluon_resnet101_v1d,30.535,69.465,47.977,52.023,44.57,224,0.875,bicubic,-49.867,-47.043,-7 inception_v4,31.294,68.706,49.244,50.756,42.68,299,0.875,bicubic,-48.860,-45.718,+24
dpn68b,30.517,69.483,49.130,50.870,12.61,224,0.875,bicubic,-48.695,-45.292,+44 ecaresnetlight,31.123,68.877,50.221,49.779,30.16,224,0.875,bicubic,-49.337,-44.981,+4
resnest26d,30.502,69.498,50.677,49.323,17.07,224,0.875,bilinear,-47.978,-43.623,+69 ecaresnet50d,31.097,68.903,50.811,49.189,25.58,224,0.875,bicubic,-49.517,-44.503,-1
efficientnet_b2a,30.441,69.559,49.700,50.300,9.11,288,1.000,bicubic,-50.173,-45.618,-16 resnet50d,31.072,68.928,49.820,50.180,25.58,224,0.875,bicubic,-49.421,-45.308,0
tf_efficientnet_b1_ap,30.417,69.583,49.549,50.451,7.79,240,0.882,bicubic,-48.859,-44.753,+37 ecaresnet50t,31.064,68.936,50.681,49.319,25.57,320,0.950,bicubic,-51.284,-45.463,-46
dpn98,30.064,69.936,48.252,51.748,61.57,224,0.875,bicubic,-49.587,-46.354,+21 gluon_resnet101_v1s,31.056,68.944,49.789,50.211,44.67,224,0.875,bicubic,-49.240,-45.387,+11
seresnet50,30.061,69.939,49.329,50.671,28.09,224,0.875,bicubic,-50.197,-45.737,-4 tf_efficientnet_cc_b0_8e,31.052,68.948,50.795,49.205,24.01,224,0.875,bicubic,-46.874,-42.803,+108
dpn131,30.026,69.974,48.158,51.842,79.25,224,0.875,bicubic,-49.800,-46.554,+11 cspdarknet53,31.020,68.980,50.423,49.577,27.64,256,0.887,bilinear,-49.029,-44.652,+20
tf_efficientnet_b2,30.020,69.980,49.592,50.408,9.11,260,0.890,bicubic,-50.052,-45.312,0 gluon_resnet152_v1c,31.020,68.980,48.934,51.066,60.21,224,0.875,bicubic,-48.829,-45.956,+29
legacy_senet154,29.991,70.009,48.046,51.954,115.09,224,0.875,bilinear,-51.335,-47.462,-39 tresnet_m,30.942,69.058,48.682,51.318,31.39,224,0.875,bilinear,-49.778,-46.174,-11
dpn92,29.975,70.025,49.178,50.822,37.67,224,0.875,bicubic,-50.015,-45.666,+1 gluon_resnext101_64x4d,30.916,69.084,48.529,51.471,83.46,224,0.875,bicubic,-49.720,-46.461,-10
xception,29.895,70.106,48.732,51.268,22.86,299,0.897,bicubic,-49.152,-45.664,+41 tf_efficientnet_cc_b1_8e,30.895,69.105,50.060,49.940,39.72,240,0.882,bicubic,-48.393,-44.298,+50
gluon_senet154,29.890,70.109,47.885,52.115,115.09,224,0.875,bicubic,-51.338,-47.467,-40 ecaresnet101d_pruned,30.871,69.129,49.968,50.032,24.88,224,0.875,bicubic,-50.015,-45.604,-20
adv_inception_v3,29.814,70.186,47.871,52.129,23.83,299,0.875,bicubic,-47.768,-45.869,+87 gluon_resnext101_32x4d,30.859,69.141,48.584,51.416,44.18,224,0.875,bicubic,-49.359,-46.324,+9
gluon_xception65,29.796,70.204,47.776,52.224,39.92,299,0.903,bicubic,-49.906,-47.091,+9 nf_resnet50,30.761,69.239,50.040,49.960,25.56,288,0.940,bicubic,-49.905,-45.318,-15
resnetblur50,29.617,70.383,48.268,51.732,25.56,224,0.875,bicubic,-49.669,-46.372,+25 tf_efficientnet_lite4,30.735,69.264,50.262,49.738,13.01,380,0.920,bilinear,-50.781,-45.362,-39
efficientnet_b2,29.602,70.398,48.791,51.209,9.11,260,0.875,bicubic,-50.776,-46.287,-22 dpn107,30.627,69.373,48.842,51.158,86.92,224,0.875,bicubic,-49.553,-46.064,+7
efficientnet_em,29.492,70.508,48.948,51.052,6.90,240,0.882,bicubic,-49.772,-45.842,+25 ese_vovnet39b,30.625,69.374,49.924,50.076,24.57,224,0.875,bicubic,-48.581,-44.804,+51
resnext101_32x8d,29.433,70.567,48.502,51.498,88.79,224,0.875,bilinear,-49.871,-46.024,+21 gluon_resnet152_v1b,30.612,69.388,48.535,51.465,60.19,224,0.875,bicubic,-49.022,-46.223,+30
ssl_resnet50,29.423,70.577,49.761,50.239,25.56,224,0.875,bilinear,-49.813,-45.069,+24 tresnet_xl_448,30.602,69.398,49.087,50.913,78.44,448,0.875,bilinear,-52.440,-47.095,-69
resnext50_32x4d,29.346,70.654,47.397,52.603,25.03,224,0.875,bicubic,-50.444,-47.209,0 ssl_resnext50_32x4d,30.600,69.400,50.642,49.358,25.03,224,0.875,bilinear,-49.732,-44.740,-7
resnet34d,29.321,70.679,48.425,51.575,21.82,224,0.875,bicubic,-47.793,-44.957,+92 gluon_resnet101_v1d,30.561,69.439,47.985,52.015,44.57,224,0.875,bicubic,-49.869,-47.029,-13
ecaresnet50d_pruned,29.218,70.781,48.458,51.542,19.94,224,0.875,bicubic,-50.494,-46.418,0 dpn68b,30.527,69.473,49.170,50.830,12.61,224,0.875,bicubic,-48.613,-45.254,+48
tresnet_l_448,29.175,70.825,47.256,52.744,55.99,448,0.875,bilinear,-53.085,-48.722,-73 resnest26d,30.514,69.487,50.640,49.360,17.07,224,0.875,bilinear,-47.926,-43.656,+75
gluon_inception_v3,29.134,70.866,46.963,53.037,23.83,299,0.875,bicubic,-49.666,-47.417,+35 efficientnet_b2a,30.409,69.591,49.712,50.288,9.11,288,1.000,bicubic,-50.199,-45.586,-22
xception71,29.055,70.945,47.441,52.559,42.34,299,0.903,bicubic,-50.829,-47.492,-10 tf_efficientnet_b1_ap,30.390,69.610,49.545,50.455,7.79,240,0.882,bicubic,-48.900,-44.781,+35
hrnet_w64,28.996,71.004,47.142,52.858,128.06,224,0.875,bilinear,-50.466,-47.512,+6 seresnet50,30.087,69.913,49.297,50.703,28.09,224,0.875,bicubic,-50.205,-45.751,-9
tf_efficientnet_b0_ns,28.904,71.096,48.991,51.009,5.29,224,0.875,bicubic,-49.756,-45.381,+39 legacy_senet154,30.048,69.952,48.006,51.994,115.09,224,0.875,bilinear,-51.274,-47.448,-46
gluon_resnet101_v1b,28.900,71.100,46.405,53.595,44.55,224,0.875,bicubic,-50.404,-48.125,+10 dpn98,30.040,69.960,48.185,51.815,61.57,224,0.875,bicubic,-49.648,-46.459,+17
xception65,28.900,71.100,47.173,52.827,39.92,299,0.903,bicubic,-50.650,-47.485,0 tf_efficientnet_b2,30.001,69.999,49.559,50.441,9.11,260,0.890,bicubic,-50.023,-45.385,0
resnetv2_101x1_bitm,28.886,71.114,49.525,50.475,44.54,480,1.000,bilinear,-53.328,-46.947,-78 dpn131,29.999,70.001,48.118,51.882,79.25,224,0.875,bicubic,-49.867,-46.608,+6
tf_efficientnet_b1,28.873,71.127,47.515,52.485,7.79,240,0.882,bicubic,-49.971,-46.681,+27 dpn92,29.912,70.088,49.064,50.936,37.67,224,0.875,bicubic,-50.122,-45.754,-3
skresnext50_32x4d,28.851,71.149,46.507,53.493,27.48,224,0.875,bicubic,-51.295,-48.133,-25 gluon_senet154,29.843,70.157,47.851,52.149,115.09,224,0.875,bicubic,-51.373,-47.469,-47
tf_efficientnet_lite3,28.664,71.336,47.374,52.626,8.20,300,0.904,bilinear,-51.162,-47.534,-14 gluon_xception65,29.834,70.166,47.755,52.245,39.92,299,0.903,bicubic,-49.922,-47.097,+9
gluon_seresnext50_32x4d,28.653,71.347,46.470,53.530,27.56,224,0.875,bicubic,-51.271,-48.352,-22 xception,29.814,70.186,48.678,51.322,22.86,299,0.897,bicubic,-49.214,-45.692,+42
skresnet34,28.651,71.349,47.967,52.033,22.28,224,0.875,bicubic,-48.279,-45.355,+84 adv_inception_v3,29.804,70.196,47.881,52.119,23.83,299,0.875,bicubic,-47.758,-45.805,+90
hrnet_w40,28.633,71.367,47.452,52.548,57.56,224,0.875,bilinear,-50.299,-47.026,+19 resnetblur50,29.657,70.343,48.201,51.799,25.56,224,0.875,bicubic,-49.605,-46.421,+26
tv_resnet152,28.535,71.465,47.126,52.874,60.19,224,0.875,bilinear,-49.785,-46.926,+40 efficientnet_b2,29.641,70.359,48.751,51.249,9.11,260,0.875,bicubic,-50.673,-46.361,-23
hrnet_w48,28.421,71.579,47.586,52.414,77.47,224,0.875,bilinear,-50.895,-46.928,-2 vit_deit_small_patch16_224,29.468,70.532,48.262,51.738,22.05,224,0.900,bicubic,-50.400,-46.780,-3
gluon_resnext50_32x4d,28.389,71.611,45.359,54.641,25.03,224,0.875,bicubic,-50.965,-49.064,-5 efficientnet_em,29.460,70.540,48.916,51.084,6.90,240,0.882,bicubic,-49.770,-45.876,+26
efficientnet_b2_pruned,28.364,71.636,47.059,52.941,8.31,260,0.890,bicubic,-51.542,-47.797,-26 nf_regnet_b1,29.445,70.555,49.439,50.561,10.22,288,0.900,bicubic,-49.879,-45.333,+18
tf_efficientnet_b0_ap,28.356,71.644,47.535,52.465,5.29,224,0.875,bicubic,-48.746,-45.729,+74 ssl_resnet50,29.439,70.561,49.852,50.148,25.56,224,0.875,bilinear,-49.801,-45.062,+21
tf_efficientnet_cc_b0_4e,28.346,71.654,47.372,52.628,13.31,224,0.875,bicubic,-48.974,-45.950,+65 resnext101_32x8d,29.439,70.561,48.500,51.500,88.79,224,0.875,bilinear,-49.771,-46.056,+26
dla169,28.340,71.660,47.397,52.603,53.39,224,0.875,bilinear,-50.354,-46.933,+21 resnext50_32x4d,29.352,70.648,47.331,52.669,25.03,224,0.875,bicubic,-50.370,-47.275,+1
dla102x2,28.326,71.674,46.780,53.220,41.28,224,0.875,bilinear,-51.116,-47.866,-11 resnet34d,29.331,70.669,48.395,51.605,21.82,224,0.875,bicubic,-47.766,-45.029,+95
mixnet_xl,28.285,71.715,46.706,53.294,11.90,224,0.875,bicubic,-52.189,-48.228,-55 ecaresnet50d_pruned,29.201,70.799,48.517,51.483,19.94,224,0.875,bicubic,-50.475,-46.405,+2
gluon_resnet50_v1d,28.238,71.762,45.923,54.077,25.58,224,0.875,bicubic,-50.826,-48.547,+5 tresnet_l_448,29.140,70.860,47.252,52.748,55.99,448,0.875,bilinear,-53.150,-48.726,-87
gluon_resnet101_v1c,28.122,71.878,45.998,54.002,44.57,224,0.875,bicubic,-51.410,-48.590,-17 gluon_inception_v3,29.108,70.891,46.941,53.059,23.83,299,0.875,bicubic,-49.721,-47.457,+37
wide_resnet101_2,28.104,71.896,46.425,53.575,126.89,224,0.875,bilinear,-50.750,-47.857,+9 hrnet_w64,28.985,71.015,47.128,52.872,128.06,224,0.875,bilinear,-50.503,-47.510,+6
densenet161,28.098,71.902,46.653,53.347,28.68,224,0.875,bicubic,-49.262,-46.981,+57 xception71,28.979,71.021,47.433,52.567,42.34,299,0.903,bicubic,-50.867,-47.503,-11
regnetx_320,28.095,71.906,45.130,54.870,107.81,224,0.875,bicubic,-52.159,-49.900,-47 tf_efficientnet_b0_ns,28.932,71.068,49.038,50.962,5.29,224,0.875,bicubic,-49.668,-45.350,+41
regnety_320,28.069,71.931,45.452,54.548,145.05,224,0.875,bicubic,-52.729,-49.794,-67 resnetv2_101x1_bitm,28.881,71.120,49.571,50.429,44.54,480,1.000,bilinear,-53.328,-46.889,-90
xception41,27.894,72.106,45.896,54.104,26.97,299,0.903,bicubic,-50.642,-48.388,+16 tf_efficientnet_b1,28.867,71.133,47.495,52.505,7.79,240,0.882,bicubic,-49.965,-46.711,+31
regnetx_160,27.829,72.171,45.627,54.373,54.28,224,0.875,bicubic,-52.009,-49.197,-36 xception65,28.857,71.143,47.187,52.813,39.92,299,0.903,bicubic,-50.735,-47.471,-4
tf_inception_v3,27.808,72.192,45.725,54.275,23.83,299,0.875,bicubic,-50.058,-47.921,+39 gluon_resnet101_v1b,28.839,71.161,46.395,53.605,44.55,224,0.875,bicubic,-50.521,-48.113,+3
res2net101_26w_4s,27.786,72.214,45.194,54.806,45.21,224,0.875,bilinear,-51.408,-49.240,-8 skresnext50_32x4d,28.806,71.194,46.486,53.514,27.48,224,0.875,bicubic,-51.348,-48.216,-30
hrnet_w44,27.639,72.361,45.837,54.163,67.06,224,0.875,bilinear,-51.251,-48.537,0 skresnet34,28.662,71.338,47.965,52.035,22.28,224,0.875,bicubic,-48.248,-45.307,+88
regnety_160,27.605,72.395,45.542,54.458,83.59,224,0.875,bicubic,-52.671,-49.426,-56 tf_efficientnet_lite3,28.649,71.351,47.309,52.691,8.20,300,0.904,bilinear,-51.109,-47.555,-16
inception_v3,27.582,72.418,45.263,54.737,23.83,299,0.875,bicubic,-49.882,-48.213,+46 hrnet_w40,28.615,71.385,47.429,52.571,57.56,224,0.875,bilinear,-50.291,-47.005,+22
regnetx_080,27.399,72.601,44.998,55.002,39.57,224,0.875,bicubic,-51.813,-49.556,-13 gluon_seresnext50_32x4d,28.576,71.424,46.348,53.652,27.56,224,0.875,bicubic,-51.372,-48.488,-28
hrnet_w32,27.387,72.613,46.026,53.974,41.23,224,0.875,bilinear,-51.059,-48.164,+13 tv_resnet152,28.570,71.430,47.110,52.890,60.19,224,0.875,bilinear,-49.680,-46.872,+43
hrnet_w30,27.379,72.621,46.560,53.440,37.71,224,0.875,bilinear,-50.827,-47.664,+20 repvgg_b2,28.399,71.601,47.036,52.964,89.02,224,0.875,bilinear,-50.483,-47.310,+21
gluon_resnet50_v1s,27.334,72.666,45.257,54.743,25.68,224,0.875,bicubic,-51.366,-48.989,+1 tf_efficientnet_b0_ap,28.391,71.609,47.578,52.422,5.29,224,0.875,bicubic,-48.681,-45.684,+78
densenet201,27.277,72.723,46.212,53.788,20.01,224,0.875,bicubic,-50.013,-47.268,+45 gluon_resnext50_32x4d,28.381,71.619,45.285,54.715,25.03,224,0.875,bicubic,-50.939,-49.215,-4
densenetblur121d,27.247,72.752,46.322,53.678,8.00,224,0.875,bicubic,-49.338,-46.874,+61 hrnet_w48,28.360,71.640,47.490,52.510,77.47,224,0.875,bilinear,-50.876,-47.032,0
regnety_064,27.218,72.782,44.845,55.155,30.58,224,0.875,bicubic,-52.514,-49.919,-44 dla102x2,28.334,71.666,46.802,53.198,41.28,224,0.875,bilinear,-51.094,-47.826,-10
efficientnet_b1_pruned,27.175,72.825,45.890,54.110,6.33,240,0.882,bicubic,-51.073,-47.946,+13 efficientnet_b2_pruned,28.322,71.678,46.994,53.006,8.31,260,0.890,bicubic,-51.510,-47.812,-26
rexnet_130,27.110,72.890,45.951,54.049,7.56,224,0.875,bicubic,-52.384,-48.723,-36 dla169,28.309,71.691,47.331,52.669,53.39,224,0.875,bilinear,-50.423,-47.004,+20
res2net50_26w_8s,27.096,72.904,44.432,55.568,48.40,224,0.875,bilinear,-52.096,-49.936,-20 tf_efficientnet_cc_b0_4e,28.295,71.705,47.350,52.650,13.31,224,0.875,bicubic,-49.001,-46.010,+67
vit_small_patch16_224,27.088,72.912,45.723,54.277,48.75,224,0.900,bicubic,-50.766,-47.701,+26 mixnet_xl,28.264,71.737,46.737,53.263,11.90,224,0.875,bicubic,-52.161,-48.151,-60
dla102x,27.057,72.943,45.507,54.493,26.31,224,0.875,bilinear,-51.453,-48.723,-1 gluon_resnet50_v1d,28.203,71.797,45.896,54.104,25.58,224,0.875,bicubic,-50.869,-48.582,+5
tv_resnet101,26.976,73.024,45.245,54.755,44.55,224,0.875,bilinear,-50.390,-48.310,+34 densenet161,28.138,71.862,46.623,53.377,28.68,224,0.875,bicubic,-49.200,-47.065,+60
resnext50d_32x4d,26.874,73.126,44.444,55.556,25.05,224,0.875,bicubic,-52.794,-50.422,-47 wide_resnet101_2,28.100,71.900,46.497,53.503,126.89,224,0.875,bilinear,-50.810,-47.847,+7
regnetx_120,26.870,73.130,44.674,55.326,46.11,224,0.875,bicubic,-52.740,-50.058,-46 gluon_resnet101_v1c,28.093,71.907,45.943,54.057,44.57,224,0.875,bicubic,-51.457,-48.699,-21
rexnet_100,26.860,73.140,45.381,54.619,4.80,224,0.875,bicubic,-51.002,-48.497,+20 regnetx_320,28.079,71.921,45.165,54.835,107.81,224,0.875,bicubic,-52.235,-49.903,-59
densenet169,26.847,73.153,45.409,54.591,14.15,224,0.875,bicubic,-49.051,-47.613,+56 regnety_320,28.041,71.959,45.456,54.544,145.05,224,0.875,bicubic,-52.741,-49.806,-79
regnety_120,26.811,73.189,44.505,55.495,51.82,224,0.875,bicubic,-53.567,-50.617,-81 gernet_s,28.018,71.982,46.654,53.346,8.17,224,0.875,bilinear,-48.856,-46.474,+69
legacy_seresnext101_32x4d,26.805,73.195,43.497,56.503,48.96,224,0.875,bilinear,-53.423,-51.523,-73 xception41,27.894,72.106,45.977,54.023,26.97,299,0.903,bicubic,-50.602,-48.279,+18
regnetx_064,26.799,73.201,44.947,55.053,26.21,224,0.875,bicubic,-52.264,-49.513,-28 regnetx_160,27.859,72.141,45.605,54.395,54.28,224,0.875,bicubic,-52.025,-49.221,-44
regnetx_032,26.715,73.285,45.259,54.741,15.30,224,0.875,bicubic,-51.433,-48.829,+3 tf_inception_v3,27.764,72.236,45.786,54.214,23.83,299,0.875,bicubic,-50.040,-47.938,+40
legacy_seresnet152,26.678,73.322,43.943,56.057,66.82,224,0.875,bilinear,-51.988,-50.433,-15 res2net101_26w_4s,27.741,72.259,45.169,54.831,45.21,224,0.875,bilinear,-51.379,-49.263,-8
densenet121,26.666,73.334,45.902,54.098,7.98,224,0.875,bicubic,-48.898,-46.746,+54 repvgg_b1,27.650,72.350,46.501,53.499,57.42,224,0.875,bilinear,-50.792,-47.657,+16
tf_efficientnet_el,26.633,73.368,44.654,55.346,10.59,300,0.904,bicubic,-53.816,-50.516,-90 regnety_160,27.621,72.379,45.525,54.475,83.59,224,0.875,bicubic,-52.793,-49.455,-72
efficientnet_es,26.631,73.370,45.116,54.884,5.44,224,0.875,bicubic,-51.458,-48.816,+1 hrnet_w44,27.603,72.397,45.839,54.161,67.06,224,0.875,bilinear,-51.283,-48.571,-2
res2net50_26w_6s,26.595,73.405,44.000,56.000,37.05,224,0.875,bilinear,-51.971,-50.120,-17 inception_v3,27.584,72.416,45.269,54.731,23.83,299,0.875,bicubic,-49.826,-48.205,+46
dla60x,26.562,73.438,45.049,54.951,17.35,224,0.875,bilinear,-51.688,-48.975,-7 hrnet_w30,27.460,72.540,46.544,53.456,37.71,224,0.875,bilinear,-50.674,-47.648,+22
regnety_080,26.552,73.448,44.377,55.623,39.18,224,0.875,bicubic,-53.318,-50.453,-70 regnetx_080,27.377,72.623,44.959,55.041,39.57,224,0.875,bicubic,-51.797,-49.597,-17
tf_efficientnet_b0,26.483,73.517,45.656,54.344,5.29,224,0.875,bicubic,-50.365,-47.576,+33 hrnet_w32,27.367,72.633,45.975,54.025,41.23,224,0.875,bilinear,-51.057,-48.227,+12
res2net50_14w_8s,26.481,73.519,44.377,55.623,25.06,224,0.875,bilinear,-51.657,-49.479,-5 gluon_resnet50_v1s,27.350,72.650,45.253,54.747,25.68,224,0.875,bicubic,-51.438,-48.987,-2
gluon_resnet50_v1b,26.426,73.574,44.047,55.953,25.56,224,0.875,bicubic,-51.152,-49.671,+12 densenetblur121d,27.289,72.711,46.387,53.613,8.00,224,0.875,bicubic,-49.185,-46.709,+65
regnetx_040,26.247,73.753,44.462,55.538,22.12,224,0.875,bicubic,-52.237,-49.791,-20 regnety_064,27.269,72.731,44.855,55.145,30.58,224,0.875,bicubic,-52.467,-49.903,-47
dpn68,26.120,73.880,44.239,55.761,12.61,224,0.875,bicubic,-50.192,-48.729,+37 densenet201,27.259,72.741,46.230,53.770,20.01,224,0.875,bicubic,-50.061,-47.252,+42
hrnet_w18,25.992,74.008,44.811,55.189,21.30,224,0.875,bilinear,-50.772,-48.631,+30 efficientnet_b1_pruned,27.157,72.843,45.823,54.177,6.33,240,0.882,bicubic,-51.117,-47.985,+10
regnety_040,25.929,74.071,43.858,56.142,20.65,224,0.875,bicubic,-53.303,-50.786,-49 rexnet_130,27.092,72.908,45.900,54.100,7.56,224,0.875,bicubic,-52.424,-48.760,-40
resnet34,25.892,74.108,43.988,56.012,21.80,224,0.875,bilinear,-49.214,-48.288,+50 vit_small_patch16_224,27.077,72.923,45.642,54.358,48.75,224,0.900,bicubic,-50.795,-47.749,+23
res2net50_26w_4s,25.884,74.116,43.180,56.820,25.70,224,0.875,bilinear,-52.108,-50.672,-8 res2net50_26w_8s,27.061,72.939,44.469,55.531,48.40,224,0.875,bilinear,-52.069,-49.935,-24
tresnet_m_448,25.852,74.148,42.883,57.117,31.39,448,0.875,bilinear,-55.866,-52.683,-135 tv_resnet101,27.000,73.000,45.177,54.823,44.55,224,0.875,bilinear,-50.314,-48.379,+38
gluon_resnet50_v1c,25.788,74.213,43.035,56.965,25.58,224,0.875,bicubic,-52.220,-50.953,-11 dla102x,26.992,73.008,45.497,54.503,26.31,224,0.875,bilinear,-51.536,-48.709,-5
selecsls60,25.727,74.273,44.070,55.930,30.67,224,0.875,bicubic,-52.263,-49.758,-10 resnext50d_32x4d,26.858,73.141,44.432,55.568,25.05,224,0.875,bicubic,-52.830,-50.412,-52
dla60_res2net,25.681,74.319,43.605,56.395,20.85,224,0.875,bilinear,-52.779,-50.601,-27 densenet169,26.843,73.157,45.299,54.701,14.15,224,0.875,bicubic,-49.107,-47.695,+60
dla60_res2next,25.634,74.366,43.679,56.321,17.03,224,0.875,bilinear,-52.810,-50.479,-26 legacy_seresnext101_32x4d,26.835,73.165,43.450,56.550,48.96,224,0.875,bilinear,-53.447,-51.575,-81
tf_efficientnet_lite1,25.524,74.476,43.601,56.399,5.42,240,0.882,bicubic,-51.142,-49.637,+23 regnetx_064,26.835,73.165,44.921,55.079,26.21,224,0.875,bicubic,-52.243,-49.539,-27
mixnet_l,25.520,74.480,43.481,56.519,7.33,224,0.875,bicubic,-53.460,-50.701,-48 regnetx_120,26.803,73.197,44.693,55.307,46.11,224,0.875,bicubic,-52.771,-49.999,-51
tv_resnext50_32x4d,25.477,74.523,42.821,57.179,25.03,224,0.875,bilinear,-52.137,-50.863,-5 rexnet_100,26.778,73.222,45.363,54.637,4.80,224,0.875,bicubic,-51.108,-48.495,+13
efficientnet_b1,25.473,74.527,43.296,56.704,7.79,240,0.875,bicubic,-53.233,-50.858,-42 regnety_120,26.758,73.242,44.475,55.525,51.82,224,0.875,bicubic,-53.616,-50.633,-93
tf_mixnet_l,25.438,74.562,42.530,57.470,7.33,224,0.875,bicubic,-53.338,-51.472,-45 regnetx_032,26.688,73.312,45.234,54.766,15.30,224,0.875,bicubic,-51.460,-48.832,+1
res2next50,25.406,74.594,42.520,57.480,24.67,224,0.875,bilinear,-52.830,-51.386,-26 legacy_seresnet152,26.656,73.344,44.025,55.975,66.82,224,0.875,bilinear,-51.988,-50.365,-18
legacy_seresnet101,25.332,74.668,42.823,57.177,49.33,224,0.875,bilinear,-53.048,-51.439,-31 dla60x,26.648,73.352,45.049,54.951,17.35,224,0.875,bilinear,-51.578,-48.939,-3
dla102,25.326,74.674,43.811,56.189,33.27,224,0.875,bilinear,-52.704,-50.141,-23 densenet121,26.623,73.377,45.833,54.167,7.98,224,0.875,bicubic,-48.907,-46.783,+56
selecsls60b,25.316,74.684,43.575,56.425,32.77,224,0.875,bicubic,-53.094,-50.603,-34 res2net50_26w_6s,26.603,73.397,43.939,56.061,37.05,224,0.875,bilinear,-52.001,-50.225,-19
resnest14d,25.312,74.688,44.106,55.894,10.61,224,0.875,bilinear,-50.202,-48.412,+26 efficientnet_es,26.591,73.409,45.104,54.896,5.44,224,0.875,bicubic,-51.441,-48.796,+1
legacy_seresnext50_32x4d,25.227,74.772,41.962,58.038,27.56,224,0.875,bilinear,-53.857,-52.472,-62 regnety_080,26.570,73.430,44.371,55.629,39.18,224,0.875,bicubic,-53.270,-50.477,-72
res2net50_48w_2s,25.019,74.981,42.219,57.781,25.29,224,0.875,bilinear,-52.515,-51.341,-10 repvgg_b1g4,26.544,73.456,45.090,54.910,39.97,224,0.875,bilinear,-50.996,-48.704,+14
efficientnet_b0,25.017,74.983,42.797,57.203,5.29,224,0.875,bicubic,-52.689,-50.725,-17 tf_efficientnet_b0,26.491,73.509,45.666,54.334,5.29,224,0.875,bicubic,-50.339,-47.606,+34
gluon_resnet34_v1b,24.931,75.069,42.253,57.747,21.80,224,0.875,bicubic,-49.657,-49.743,+37 res2net50_14w_8s,26.467,73.533,44.357,55.643,25.06,224,0.875,bilinear,-51.651,-49.479,-6
dla60,24.931,75.069,43.310,56.690,22.04,224,0.875,bilinear,-52.105,-50.014,+2 gluon_resnet50_v1b,26.375,73.625,44.045,55.955,25.56,224,0.875,bicubic,-51.289,-49.629,+6
mobilenetv2_120d,24.927,75.073,43.054,56.946,5.83,224,0.875,bicubic,-52.351,-50.456,-6 tf_efficientnet_el,26.340,73.660,44.188,55.812,10.59,300,0.904,bicubic,-53.952,-50.932,-98
regnety_016,24.801,75.199,42.620,57.380,11.20,224,0.875,bicubic,-53.067,-51.106,-25 regnetx_040,26.232,73.768,44.404,55.596,22.12,224,0.875,bicubic,-52.262,-49.865,-21
tf_efficientnet_em,24.549,75.451,42.418,57.582,6.90,240,0.882,bicubic,-54.163,-51.910,-57 dpn68,26.122,73.878,44.226,55.774,12.61,224,0.875,bicubic,-50.256,-48.752,+37
tf_efficientnet_lite2,24.532,75.468,42.247,57.753,6.09,260,0.890,bicubic,-52.950,-51.501,-16 hrnet_w18,25.917,74.083,44.843,55.157,21.30,224,0.875,bilinear,-50.915,-48.561,+27
regnetx_016,24.498,75.502,42.520,57.480,9.19,224,0.875,bicubic,-52.448,-50.906,-2 regnety_040,25.915,74.085,43.860,56.140,20.65,224,0.875,bicubic,-53.301,-50.802,-54
skresnet18,24.483,75.517,42.544,57.456,11.96,224,0.875,bicubic,-48.543,-48.628,+38 tresnet_m_448,25.856,74.144,42.883,57.117,31.39,448,0.875,bilinear,-55.836,-52.677,-150
tf_efficientnet_lite0,24.396,75.604,42.485,57.515,4.65,224,0.875,bicubic,-50.436,-49.689,+25 res2net50_26w_4s,25.839,74.161,43.141,56.859,25.70,224,0.875,bilinear,-52.127,-50.689,-10
resnetv2_50x1_bitm,24.227,75.773,43.477,56.523,25.55,480,1.000,bilinear,-55.965,-52.153,-118 resnet34,25.835,74.165,43.939,56.061,21.80,224,0.875,bilinear,-49.261,-48.307,+49
tv_resnet50,24.078,75.922,41.329,58.671,25.56,224,0.875,bilinear,-52.080,-51.549,+5 gluon_resnet50_v1c,25.801,74.199,43.031,56.969,25.58,224,0.875,bicubic,-52.125,-50.975,-11
legacy_seresnet34,24.033,75.967,41.905,58.095,21.96,224,0.875,bilinear,-50.757,-50.221,+23 selecsls60,25.793,74.207,44.011,55.989,30.67,224,0.875,bicubic,-52.121,-49.811,-10
resnet18d,23.927,76.073,42.302,57.698,11.71,224,0.875,bicubic,-48.347,-48.386,+38 dla60_res2net,25.650,74.350,43.611,56.389,20.85,224,0.875,bilinear,-52.872,-50.641,-33
efficientnet_lite0,23.919,76.081,42.105,57.895,4.65,224,0.875,bicubic,-51.583,-50.409,+11 dla60_res2next,25.648,74.352,43.617,56.383,17.03,224,0.875,bilinear,-52.674,-50.573,-26
tf_efficientnet_es,23.830,76.170,41.325,58.675,5.44,224,0.875,bicubic,-53.454,-52.279,-19 mixnet_l,25.558,74.442,43.508,56.492,7.33,224,0.875,bicubic,-53.374,-50.676,-50
tv_densenet121,23.824,76.176,41.925,58.075,7.98,224,0.875,bicubic,-50.918,-50.229,+20 ecaresnet26t,25.556,74.444,43.595,56.405,16.01,320,0.950,bicubic,-54.328,-51.477,-96
mobilenetv2_140,23.701,76.299,41.492,58.508,6.11,224,0.875,bicubic,-52.811,-51.506,-5 tf_efficientnet_lite1,25.522,74.478,43.538,56.462,5.42,240,0.882,bicubic,-51.106,-49.710,+19
dla34,23.701,76.299,41.547,58.453,15.74,224,0.875,bilinear,-50.923,-50.515,+21 efficientnet_b1,25.497,74.503,43.267,56.733,7.79,240,0.875,bicubic,-53.107,-50.827,-42
mixnet_m,23.697,76.303,41.160,58.840,5.01,224,0.875,bicubic,-53.577,-52.262,-21 repvgg_a2,25.467,74.533,44.010,55.990,28.21,224,0.875,bilinear,-51.021,-49.013,+21
legacy_seresnet50,23.648,76.353,40.103,59.897,28.09,224,0.875,bilinear,-53.989,-53.641,-36 tv_resnext50_32x4d,25.465,74.535,42.768,57.232,25.03,224,0.875,bilinear,-52.163,-50.912,-11
ese_vovnet19b_dw,23.543,76.457,41.282,58.718,6.54,224,0.875,bicubic,-53.275,-51.996,-13 res2next50,25.428,74.572,42.502,57.498,24.67,224,0.875,bilinear,-52.652,-51.450,-25
tf_mixnet_m,23.504,76.496,40.993,59.007,5.01,224,0.875,bicubic,-53.452,-52.171,-18 tf_mixnet_l,25.412,74.588,42.571,57.429,7.33,224,0.875,bicubic,-53.390,-51.483,-50
tv_resnet34,23.496,76.504,41.406,58.594,21.80,224,0.875,bilinear,-49.808,-50.018,+21 dla102,25.322,74.678,43.898,56.102,33.27,224,0.875,bilinear,-52.732,-50.021,-26
selecsls42b,23.394,76.606,40.665,59.335,32.46,224,0.875,bicubic,-53.790,-52.723,-25 legacy_seresnet101,25.306,74.694,42.874,57.126,49.33,224,0.875,bilinear,-53.114,-51.300,-37
mobilenetv2_110d,23.072,76.928,40.738,59.262,4.52,224,0.875,bicubic,-51.976,-51.452,+8 selecsls60b,25.302,74.698,43.485,56.515,32.77,224,0.875,bicubic,-53.194,-50.707,-44
mobilenetv3_large_100,22.653,77.347,40.787,59.213,5.48,224,0.875,bicubic,-53.121,-51.751,-7 legacy_seresnext50_32x4d,25.292,74.708,41.923,58.077,27.56,224,0.875,bilinear,-53.816,-52.555,-66
mobilenetv3_rw,22.632,77.368,40.408,59.592,5.48,224,0.875,bicubic,-52.988,-52.304,-6 resnest14d,25.282,74.718,44.011,55.989,10.61,224,0.875,bilinear,-50.305,-48.477,+22
tf_mobilenetv3_large_100,22.567,77.433,39.751,60.249,5.48,224,0.875,bilinear,-52.943,-52.859,-4 res2net50_48w_2s,25.066,74.934,42.157,57.843,25.29,224,0.875,bilinear,-52.452,-51.425,-14
hrnet_w18_small_v2,22.355,77.645,39.897,60.103,15.60,224,0.875,bilinear,-52.754,-52.515,+1 efficientnet_b0,24.976,75.024,42.762,57.238,5.29,224,0.875,bicubic,-52.634,-50.802,-18
regnety_008,22.117,77.883,38.926,61.074,6.26,224,0.875,bicubic,-54.203,-54.142,-16 gluon_resnet34_v1b,24.976,75.024,42.235,57.765,21.80,224,0.875,bicubic,-49.520,-49.773,+38
seresnext26t_32x4d,22.017,77.984,38.588,61.412,16.82,224,0.875,bicubic,-55.971,-55.144,-55 mobilenetv2_120d,24.876,75.124,43.082,56.918,5.83,224,0.875,bicubic,-52.452,-50.396,-12
seresnext26tn_32x4d,22.007,77.993,38.505,61.495,16.81,224,0.875,bicubic,-55.979,-55.239,-55 dla60,24.868,75.132,43.281,56.719,22.04,224,0.875,bilinear,-52.056,-50.010,-3
regnety_006,21.975,78.025,38.961,61.039,6.06,224,0.875,bicubic,-53.293,-53.569,-5 regnety_016,24.842,75.158,42.650,57.350,11.20,224,0.875,bicubic,-52.962,-51.000,-26
regnetx_008,21.960,78.040,38.934,61.066,7.26,224,0.875,bicubic,-53.092,-53.408,-2 tf_efficientnet_lite2,24.510,75.490,42.316,57.684,6.09,260,0.890,bicubic,-52.930,-51.446,-18
resnet26d,21.932,78.068,38.641,61.359,16.01,224,0.875,bicubic,-54.756,-54.505,-25 skresnet18,24.471,75.529,42.605,57.395,11.96,224,0.875,bicubic,-48.529,-48.552,+43
semnasnet_100,21.907,78.094,38.604,61.396,3.89,224,0.875,bicubic,-53.545,-54.006,-10 regnetx_016,24.436,75.564,42.434,57.566,9.19,224,0.875,bicubic,-52.478,-50.938,-6
regnetx_006,21.738,78.263,38.928,61.072,6.20,224,0.875,bicubic,-52.106,-52.750,+5 tf_efficientnet_lite0,24.326,75.674,42.477,57.523,4.65,224,0.875,bicubic,-50.542,-49.653,+27
gluon_resnet18_v1b,21.549,78.451,38.881,61.119,11.69,224,0.875,bicubic,-49.289,-50.877,+16 resnetv2_50x1_bitm,24.206,75.794,43.469,56.531,25.55,480,1.000,bilinear,-55.946,-52.175,-125
fbnetc_100,21.504,78.496,38.150,61.850,5.57,224,0.875,bilinear,-53.612,-54.224,-10 tv_resnet50,24.157,75.844,41.331,58.669,25.56,224,0.875,bilinear,-51.855,-51.603,+6
mnasnet_100,21.360,78.640,37.723,62.277,4.38,224,0.875,bicubic,-53.310,-54.379,-3 legacy_seresnet34,24.058,75.942,41.889,58.111,21.96,224,0.875,bilinear,-50.854,-50.275,+23
resnet26,21.295,78.705,38.036,61.964,16.00,224,0.875,bicubic,-53.995,-54.530,-14 resnet18d,23.964,76.036,42.329,57.671,11.71,224,0.875,bicubic,-48.416,-48.381,+41
ssl_resnet18,21.293,78.707,39.138,60.862,11.69,224,0.875,bilinear,-51.323,-52.278,+6 efficientnet_lite0,23.836,76.164,42.094,57.906,4.65,224,0.875,bicubic,-51.608,-50.450,+11
seresnext26d_32x4d,21.290,78.710,37.326,62.674,16.81,224,0.875,bicubic,-56.296,-56.282,-57 tv_densenet121,23.832,76.168,41.915,58.085,7.98,224,0.875,bicubic,-50.914,-50.215,+22
mixnet_s,21.272,78.728,38.207,61.793,4.13,224,0.875,bicubic,-54.722,-54.583,-27 mobilenetv2_140,23.709,76.291,41.473,58.527,6.11,224,0.875,bicubic,-52.829,-51.471,-5
legacy_seresnext26_32x4d,21.075,78.925,37.633,62.367,16.79,224,0.875,bicubic,-56.031,-55.675,-44 mixnet_m,23.703,76.297,41.190,58.810,5.01,224,0.875,bicubic,-53.473,-52.236,-22
regnetx_004,20.908,79.092,37.566,62.434,5.16,224,0.875,bicubic,-51.486,-53.252,+3 dla34,23.661,76.339,41.522,58.478,15.74,224,0.875,bilinear,-50.975,-50.600,+21
spnasnet_100,20.851,79.149,37.910,62.090,4.42,224,0.875,bilinear,-53.229,-53.910,-7 legacy_seresnet50,23.644,76.356,40.048,59.952,28.09,224,0.875,bilinear,-53.968,-53.748,-37
legacy_seresnet18,20.800,79.200,37.621,62.379,11.78,224,0.875,bicubic,-50.936,-52.721,+5 ese_vovnet19b_dw,23.496,76.504,41.262,58.738,6.54,224,0.875,bicubic,-53.276,-52.014,-13
mobilenetv2_100,20.777,79.223,37.788,62.212,3.50,224,0.875,bicubic,-52.173,-53.214,-2 tf_mixnet_m,23.477,76.523,40.956,59.044,5.01,224,0.875,bicubic,-53.487,-52.256,-21
tf_mixnet_s,20.470,79.530,36.641,63.359,4.13,224,0.875,bicubic,-55.212,-55.997,-30 tv_resnet34,23.467,76.533,41.420,58.580,21.80,224,0.875,bilinear,-49.799,-50.010,+27
regnety_004,20.429,79.571,37.032,62.968,4.34,224,0.875,bicubic,-53.589,-54.732,-10 selecsls42b,23.341,76.659,40.675,59.325,32.46,224,0.875,bicubic,-53.755,-52.717,-26
hrnet_w18_small,20.370,79.630,37.093,62.907,13.19,224,0.875,bilinear,-51.966,-53.591,-2 tf_efficientnet_em,23.314,76.686,40.425,59.575,6.90,240,0.882,bicubic,-54.846,-53.621,-60
tf_mobilenetv3_large_075,20.362,79.638,36.768,63.232,3.99,224,0.875,bilinear,-53.086,-54.574,-10 repvgg_b0,23.302,76.698,41.146,58.854,15.82,224,0.875,bilinear,-51.912,-51.308,+3
resnet18,20.234,79.766,37.265,62.735,11.69,224,0.875,bilinear,-49.508,-51.821,+2 mobilenetv2_110d,23.095,76.905,40.748,59.252,4.52,224,0.875,bicubic,-51.953,-51.385,+7
tf_mobilenetv3_large_minimal_100,20.122,79.878,36.902,63.098,3.92,224,0.875,bilinear,-52.122,-53.734,-3 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
regnety_002,17.448,82.552,32.437,67.563,3.16,224,0.875,bicubic,-52.830,-57.109,-1 mobilenetv3_large_100,22.697,77.303,40.793,59.207,5.48,224,0.875,bicubic,-53.013,-51.703,-9
regnetx_002,16.964,83.036,32.233,67.767,2.68,224,0.875,bicubic,-51.790,-56.327,0 mobilenetv3_rw,22.640,77.361,40.352,59.648,5.48,224,0.875,bicubic,-52.903,-52.324,-7
dla60x_c,16.322,83.678,31.775,68.225,1.32,224,0.875,bilinear,-51.590,-56.643,+1 tf_mobilenetv3_large_100,22.565,77.435,39.702,60.298,5.48,224,0.875,bilinear,-52.955,-52.848,-6
tf_mobilenetv3_small_100,16.224,83.776,31.237,68.763,2.54,224,0.875,bilinear,-51.698,-56.439,-1 tf_efficientnet_es,22.392,77.608,39.071,60.929,5.44,224,0.875,bicubic,-54.170,-54.113,-21
tf_mobilenetv3_small_075,14.940,85.060,29.594,70.406,2.04,224,0.875,bilinear,-50.784,-56.540,+1 hrnet_w18_small_v2,22.347,77.653,39.851,60.149,15.60,224,0.875,bilinear,-52.817,-52.579,-2
dla46_c,14.675,85.325,29.372,70.628,1.30,224,0.875,bilinear,-50.195,-56.922,+1 regnety_008,22.066,77.934,38.873,61.127,6.26,224,0.875,bicubic,-54.258,-54.227,-18
dla46x_c,14.384,85.616,29.193,70.807,1.07,224,0.875,bilinear,-51.592,-57.795,-2 seresnext26t_32x4d,22.011,77.989,38.484,61.516,16.81,224,0.875,bicubic,-55.819,-55.244,-57
tf_mobilenetv3_small_minimal_100,13.985,86.015,27.992,72.008,2.04,224,0.875,bilinear,-48.925,-56.252,0 regnety_006,21.956,78.044,38.849,61.151,6.06,224,0.875,bicubic,-53.250,-53.711,-6
inception_v4,1.401,98.599,9.012,90.988,42.68,299,0.875,bicubic,+0.393,-7.842,0 regnetx_008,21.930,78.070,38.987,61.013,7.26,224,0.875,bicubic,-53.096,-53.345,-2
inception_resnet_v2,1.358,98.642,9.460,90.540,55.85,299,0.897,bicubic,+0.408,-7.834,+2 resnet26d,21.916,78.084,38.564,61.436,16.01,224,0.875,bicubic,-54.684,-54.624,-28
ens_adv_inception_resnet_v2,1.342,98.658,9.768,90.232,55.85,299,0.897,bicubic,+0.344,-7.556,-1 semnasnet_100,21.897,78.103,38.645,61.355,3.89,224,0.875,bicubic,-53.529,-53.903,-12
pnasnet5large,1.340,98.660,10.216,89.784,86.06,331,0.911,bicubic,+0.356,-8.360,-1 regnetx_006,21.700,78.300,38.938,61.062,6.20,224,0.875,bicubic,-52.262,-52.746,+5
vgg19_bn,21.602,78.398,39.274,60.726,143.68,224,0.875,bilinear,-52.614,-52.574,+2
gluon_resnet18_v1b,21.506,78.494,38.843,61.157,11.69,224,0.875,bicubic,-49.416,-50.927,+21
fbnetc_100,21.498,78.502,38.122,61.878,5.57,224,0.875,bilinear,-53.584,-54.232,-10
mnasnet_100,21.396,78.604,37.654,62.346,4.38,224,0.875,bicubic,-53.296,-54.486,-5
seresnext26d_32x4d,21.317,78.683,37.281,62.719,16.81,224,0.875,bicubic,-56.201,-56.325,-57
resnet26,21.295,78.705,38.040,61.960,16.00,224,0.875,bicubic,-54.099,-54.544,-18
mixnet_s,21.282,78.718,38.173,61.827,4.13,224,0.875,bicubic,-54.780,-54.653,-30
ssl_resnet18,21.274,78.726,39.038,60.962,11.69,224,0.875,bilinear,-51.218,-52.404,+6
legacy_seresnext26_32x4d,21.095,78.905,37.609,62.391,16.79,224,0.875,bicubic,-56.021,-55.749,-52
regnetx_004,20.914,79.086,37.576,62.424,5.16,224,0.875,bicubic,-51.622,-53.266,+3
spnasnet_100,20.822,79.178,37.853,62.147,4.42,224,0.875,bilinear,-53.298,-54.029,-7
legacy_seresnet18,20.767,79.233,37.611,62.389,11.78,224,0.875,bicubic,-50.985,-52.697,+8
mobilenetv2_100,20.724,79.276,37.759,62.241,3.50,224,0.875,bicubic,-52.233,-53.283,-1
tf_mixnet_s,20.490,79.510,36.611,63.389,4.13,224,0.875,bicubic,-55.168,-56.007,-33
regnety_004,20.427,79.573,37.016,62.984,4.34,224,0.875,bicubic,-53.515,-54.738,-9
tf_mobilenetv3_large_075,20.393,79.607,36.812,63.188,3.99,224,0.875,bilinear,-52.979,-54.592,-8
hrnet_w18_small,20.340,79.660,37.067,62.933,13.19,224,0.875,bilinear,-51.936,-53.519,0
resnet18,20.213,79.787,37.269,62.731,11.69,224,0.875,bilinear,-49.431,-51.713,+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_mobilenetv3_large_minimal_100,20.101,79.899,36.910,63.090,3.92,224,0.875,bilinear,-52.127,-53.772,-2
vgg16_bn,19.902,80.098,36.265,63.735,138.37,224,0.875,bilinear,-53.574,-55.271,-14
vgg19,17.876,82.124,33.064,66.936,143.67,224,0.875,bilinear,-54.484,-57.786,-6
vgg13_bn,17.819,82.181,34.078,65.922,133.05,224,0.875,bilinear,-53.799,-56.282,-1
vgg16,17.509,82.491,32.724,67.276,138.36,224,0.875,bilinear,-54.119,-57.644,-3
regnety_002,17.446,82.554,32.370,67.629,3.16,224,0.875,bicubic,-52.880,-57.185,0
vgg11_bn,17.328,82.672,32.966,67.034,132.87,224,0.875,bilinear,-53.080,-56.758,-2
regnetx_002,16.949,83.051,32.272,67.728,2.68,224,0.875,bicubic,-51.881,-56.238,+2
dla60x_c,16.359,83.641,31.753,68.247,1.32,224,0.875,bilinear,-51.593,-56.685,+2
tf_mobilenetv3_small_100,16.271,83.729,31.276,68.724,2.54,224,0.875,bilinear,-51.605,-56.406,+2
vgg13,16.116,83.885,31.032,68.968,133.05,224,0.875,bilinear,-53.868,-58.274,-4
vgg11,15.738,84.262,30.482,69.518,132.86,224,0.875,bilinear,-53.134,-58.176,-3
tf_mobilenetv3_small_075,14.917,85.083,29.549,70.451,2.04,224,0.875,bilinear,-50.815,-56.619,+1
dla46_c,14.681,85.319,29.417,70.583,1.30,224,0.875,bilinear,-50.249,-56.891,+1
dla46x_c,14.433,85.567,29.250,70.750,1.07,224,0.875,bilinear,-51.497,-57.754,-2
tf_mobilenetv3_small_minimal_100,13.956,86.044,28.043,71.957,2.04,224,0.875,bilinear,-48.788,-56.337,0

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 58.832 58.850 41.168 41.150 81.078 81.080 18.922 18.920 828.41 224 0.875 bilinear -27.616 -26.652 -16.802 -16.468 +3 +9
3 ig_resnext101_32x32d 58.411 58.429 41.589 41.571 80.424 80.371 19.576 19.629 468.53 224 0.875 bilinear -26.739 -26.717 -17.046 -17.085 +8 +14
4 ig_resnext101_32x16d 57.675 57.663 42.325 42.337 79.895 79.882 20.105 20.118 194.03 224 0.875 bilinear -26.528 -26.505 -17.322 -17.314 +19 +29
5 swsl_resnext101_32x16d 57.449 57.466 42.551 42.534 80.391 80.406 19.609 19.594 194.03 224 0.875 bilinear -25.895 -25.998 -16.449 -16.460 +27 +36
6 swsl_resnext101_32x8d 56.438 56.460 43.562 43.540 78.950 78.936 21.050 21.064 88.79 224 0.875 bilinear -27.944 -27.872 -18.416 -18.218 +14 +24
7 ig_resnext101_32x8d 54.927 54.918 45.073 45.082 77.524 77.531 22.476 22.468 88.79 224 0.875 bilinear -27.769 -27.742 -19.120 -19.153 +35 +46
8 swsl_resnext101_32x4d 53.583 53.601 46.417 46.399 76.372 76.315 23.628 23.685 44.18 224 0.875 bilinear -29.639 -29.651 -20.396 -20.453 +27 +36
9 tf_efficientnet_l2_ns_475 51.434 51.485 48.566 48.515 73.841 73.918 26.159 26.082 480.31 475 0.936 bicubic -32.306 -36.745 -22.929 -24.628 -8 -6
10 swsl_resnext50_32x4d 50.412 50.396 49.588 49.604 73.362 73.356 26.638 26.644 25.03 224 0.875 bilinear -31.760 -31.790 -22.870 -22.908 +40 +50
11 swsl_resnet50 49.525 49.547 50.475 50.453 72.354 72.352 27.646 27.648 25.56 224 0.875 bilinear -31.611 -31.577 -23.620 -23.636 +58 +74
12 tf_efficientnet_b6_ns tf_efficientnet_b7_ns 47.729 47.784 52.271 52.216 69.927 69.644 30.073 30.356 43.04 66.35 528 600 0.942 0.949 bicubic -40.511 -39.046 -28.623 -28.448 -9 -8
13 tf_efficientnet_b7_ns tf_efficientnet_b6_ns 47.718 47.773 52.282 52.227 69.604 69.966 30.396 30.034 66.35 43.04 600 528 0.949 0.942 bicubic -40.632 -38.689 -29.052 -27.912 -11 -8
14 tf_efficientnet_l2_ns 47.478 47.598 52.522 52.402 69.919 69.978 30.081 30.022 480.31 800 0.960 bicubic -36.886 -40.738 -27.121 -28.686 -14 -12
15 tf_efficientnet_b8_ap 45.766 45.778 54.234 54.222 67.915 67.893 32.086 32.107 87.41 672 0.954 bicubic -40.312 -39.606 -29.838 -29.405 -9 -1
16 tf_efficientnet_b5_ns 45.603 45.595 54.397 54.405 67.826 67.852 32.174 32.148 30.39 456 0.934 bicubic -41.225 -40.477 -30.258 -29.896 -12 -9
17 vit_base_resnet50_384 43.512 43.524 56.488 56.476 66.808 66.792 33.192 33.208 98.95 384 1.000 bicubic -41.608 -41.470 -30.442 -30.502 -5 +2
18 tf_efficientnet_b4_ns 43.444 43.438 56.556 56.562 65.474 65.550 34.526 34.450 19.34 380 0.922 bicubic -41.906 -41.756 -31.916 -31.950 -9 -3
19 vit_large_patch16_384 43.308 43.253 56.692 56.747 66.453 33.547 304.72 384 1.000 bicubic -42.066 -41.917 -30.845 -30.891 -11 -3
20 tf_efficientnet_b8 42.492 57.508 64.867 64.876 35.133 35.123 87.41 672 0.954 bicubic -42.931 -42.892 -32.711 -32.524 -13 -7
21 tf_efficientnet_b7_ap dm_nfnet_f6 41.451 41.600 58.549 58.400 62.898 63.181 37.102 36.819 66.35 438.36 600 576 0.949 0.956 bicubic -43.715 -44.706 -34.464 -34.561 -11 -15
22 tf_efficientnet_b7 tf_efficientnet_b7_ap 41.447 41.451 58.553 58.549 63.051 62.894 36.949 37.106 66.35 600 0.949 bicubic -43.539 -43.673 -34.245 -34.362 -8 -4
23 tf_efficientnet_b5_ap tf_efficientnet_b7 41.408 41.449 58.592 58.551 62.098 63.037 37.902 36.963 30.39 66.35 456 600 0.934 0.949 bicubic -42.862 -43.487 -35.072 -34.171 -2
24 resnetv2_152x4_bitm tf_efficientnet_b5_ap 41.235 41.384 58.765 58.616 64.281 62.051 35.719 37.949 936.53 30.39 480 456 1.000 0.934 bilinear bicubic -43.855 -42.876 -33.159 -34.923 -11 +7
25 tf_efficientnet_b6_ap resnetv2_152x4_bitm 41.113 41.247 58.887 58.753 62.381 64.248 37.619 35.752 43.04 936.53 528 480 0.942 1.000 bicubic bilinear -43.835 -43.669 -35.069 -33.196 -10 -2
26 vit_large_patch16_224 tf_efficientnet_b6_ap 40.730 41.097 59.270 58.903 63.584 62.363 36.416 37.637 304.33 43.04 224 528 0.900 0.942 bicubic -42.330 -43.693 -32.861 -34.773 +11 -2
27 tf_efficientnet_b4_ap dm_nfnet_f5 40.480 41.009 59.520 58.991 61.736 61.927 38.264 38.073 19.34 377.21 380 544 0.922 0.954 bicubic -42.776 -44.711 -34.658 -35.509 +6 -18
28 tf_efficientnet_b3_ns dm_nfnet_f3 39.511 40.875 60.489 59.125 61.453 62.008 38.547 37.992 12.23 254.92 300 416 0.904 0.940 bicubic -44.602 -44.707 -35.435 -35.383 -3 -18
29 resnet200d vit_large_patch16_224 38.666 40.681 61.334 59.319 59.144 63.546 40.856 36.454 64.69 304.33 256 224 0.940 0.900 bicubic -44.576 -42.379 -37.344 -32.878 +5 +18
30 resnet152d tf_efficientnet_b4_ap 38.484 40.533 61.516 59.467 59.209 61.673 40.791 38.327 60.21 19.34 256 380 0.940 0.922 bicubic -44.650 -42.691 -37.141 -34.693 +6 +15
31 tf_efficientnet_b5 tf_efficientnet_b3_ns 38.362 39.675 61.638 60.325 59.919 61.473 40.081 38.527 30.39 12.23 456 300 0.934 0.904 bicubic -45.490 -44.337 -36.971 -35.437 -3 +4
32 vit_base_patch16_384 ecaresnet269d 38.128 39.594 61.872 60.406 60.435 60.308 39.565 39.692 86.86 102.09 384 352 1.000 bicubic -46.126 -45.332 -36.538 -36.928 -10
33 seresnet152d dm_nfnet_f4 38.044 39.439 61.956 60.561 58.315 60.410 41.685 39.590 66.84 316.07 256 512 0.940 0.951 bicubic -45.708 -46.287 -38.805 -37.108 +30 -25
34 resnet152d_320 tf_efficientnet_b5 37.880 38.346 62.120 61.654 58.368 59.934 41.632 40.066 60.21 30.39 320 456 1.000 0.934 bicubic -45.785 -45.474 -38.366 -36.826 -2 +4
35 resnet200d_320 vit_deit_base_distilled_patch16_384 37.509 38.244 62.491 61.756 58.307 57.853 41.693 42.147 64.69 87.63 320 384 1.000 bicubic -46.535 -47.178 -38.603 -39.481 -8 -23
36 resnest269e vit_base_patch16_384 37.299 38.142 62.701 61.858 57.460 60.439 42.540 39.561 110.93 86.86 416 384 0.928 1.000 bicubic -47.635 -46.070 -39.744 -36.777 -19 -4
37 tf_efficientnet_b3_ap resnet152d 37.061 37.859 62.939 62.141 57.248 58.388 42.752 41.612 12.23 60.21 300 320 0.904 1.000 bicubic -44.761 -45.805 -38.372 -38.338 +19 +3
38 resnetv2_152x2_bitm resnet200d 36.835 37.478 63.165 62.522 59.917 58.284 40.083 41.716 236.34 64.69 480 320 1.000 bilinear bicubic -47.951 -46.522 -37.221 -38.540 -20 -2
39 seresnet152d_320 resnest269e 36.809 37.293 63.191 62.707 56.729 57.443 43.271 42.557 66.84 110.93 320 416 1.000 0.928 bicubic -47.594 -47.225 -40.705 -39.559 +18 -13
40 efficientnet_b3a tf_efficientnet_b3_ap 36.426 37.126 63.574 62.874 56.843 57.297 43.157 42.703 12.23 320 300 1.000 0.904 bicubic -45.828 -44.676 -39.271 -38.303 +9 +27
41 tf_efficientnet_b2_ns resnetv2_152x2_bitm 36.139 36.837 63.861 63.163 57.515 59.866 42.485 40.134 9.11 236.34 260 480 0.890 1.000 bicubic bilinear -46.253 -47.591 -38.723 -37.586 +5 -14
42 efficientnet_b3 seresnet152d 36.045 36.768 63.955 63.232 56.391 56.672 43.609 43.328 12.23 66.84 300 320 0.904 1.000 bicubic -46.037 -47.582 -39.635 -40.370 +11 -13
43 ecaresnet101d efficientnet_b3a 36.008 36.432 63.992 63.568 56.199 56.788 43.801 43.212 44.57 12.23 224 320 0.875 1.000 bicubic -46.168 -45.800 -39.857 -39.338 +8 +15
44 resnest200e vit_deit_base_distilled_patch16_224 35.941 36.373 64.059 63.627 55.877 56.588 44.123 43.412 70.20 87.34 320 224 0.909 0.900 bicubic -48.027 -46.999 -40.941 -39.916 -15 -2
45 swsl_resnet18 dm_nfnet_f2 35.852 36.269 64.147 63.731 58.462 55.882 41.538 44.118 11.69 193.78 224 352 0.875 0.920 bilinear bicubic -37.428 -48.699 -33.295 -41.242 +211 -25
46 resnet101d tf_efficientnet_b2_ns 35.829 36.218 64.171 63.782 55.385 57.517 44.615 42.483 44.57 9.11 256 260 0.940 0.890 bicubic -46.481 -46.148 -40.679 -38.743 +1 +9
47 vit_base_patch16_224 efficientnet_b3 35.784 36.039 64.216 63.961 57.388 56.350 42.612 43.650 86.57 12.23 224 300 0.900 0.904 bicubic -46.000 -45.993 -38.738 -39.686 +11 +16
48 resnest101e ecaresnet101d 35.397 36.010 64.603 63.990 55.800 56.132 44.200 43.868 48.28 44.57 256 224 0.875 bilinear bicubic -47.481 -46.108 -40.514 -39.908 -5 +14
49 resnetv2_101x3_bitm resnest200e 35.292 35.888 64.707 64.112 57.885 55.880 42.115 44.120 387.93 70.20 480 320 1.000 0.909 bilinear bicubic -49.234 -47.952 -39.101 -40.978 -29 -12
50 resnet101d_320 swsl_resnet18 34.864 35.809 65.136 64.191 54.218 58.380 45.782 41.620 44.57 11.69 320 224 1.000 0.875 bicubic bilinear -48.160 -37.509 -42.238 -33.372 -8 +237
51 ssl_resnext101_32x16d vit_base_patch16_224 34.609 35.691 65.391 64.309 55.951 57.390 44.049 42.610 194.03 86.57 224 0.875 0.900 bilinear bicubic -47.229 -46.089 -40.141 -38.722 +5 +17
52 regnety_032 resnest101e 34.402 35.369 65.598 64.631 54.281 55.835 45.719 44.165 19.44 48.28 224 256 0.875 bicubic bilinear -47.606 -47.455 -41.631 -40.475 +3 -1
53 resnest50d_4s2x40d resnetv2_101x3_bitm 34.361 35.230 65.639 64.770 54.733 57.863 45.267 42.137 30.42 387.93 224 480 0.875 1.000 bicubic bilinear -46.753 -49.162 -40.821 -39.495 +19 -25
54 tf_efficientnet_b1_ns dm_nfnet_f1 34.108 35.198 65.892 64.802 55.462 54.375 44.538 45.625 7.79 132.63 240 320 0.882 0.910 bicubic -47.278 -49.396 -40.278 -42.705 +13 -29
55 tf_efficientnet_b4 repvgg_b3g4 34.066 35.043 65.934 64.957 54.200 54.774 45.800 45.226 19.34 83.83 380 224 0.922 0.875 bicubic bilinear -48.960 -45.195 -42.098 -40.294 -14 +64
56 ssl_resnext101_32x8d repvgg_b3 34.047 34.980 65.953 65.020 55.596 54.576 44.404 45.424 88.79 123.09 224 0.875 bilinear -47.559 -45.460 -40.448 -40.618 +7 +49
57 tf_efficientnet_b6 resnet101d 34.037 34.878 65.963 65.122 54.558 54.210 45.442 45.790 43.04 44.57 528 320 0.942 1.000 bicubic -50.127 -48.122 -42.636 -42.250 -31 -8
58 efficientnet_b3_pruned vit_large_patch32_384 34.017 34.660 65.983 65.340 54.124 55.674 45.876 44.326 9.86 306.63 300 384 0.904 1.000 bicubic -46.841 -46.846 -41.116 -40.434 +21 +17
59 tresnet_xl dm_nfnet_f0 33.274 34.652 66.726 65.348 52.312 54.747 47.688 45.253 78.44 71.49 224 256 0.875 0.900 bilinear bicubic -48.780 -48.718 -43.620 -41.811 -5 -16
60 resnest50d_1s4x24d ssl_resnext101_32x16d 33.151 34.628 66.849 65.372 52.852 55.955 47.148 44.045 25.68 194.03 224 0.875 bicubic bilinear -47.853 -47.218 -42.474 -40.177 +14 +6
61 rexnet_200 repvgg_b2g4 32.986 34.618 67.014 65.382 52.947 54.786 47.053 45.214 16.37 61.76 224 0.875 bicubic bilinear -48.641 -44.785 -42.725 -39.920 +1 +93
62 resnest50d regnety_032 32.980 34.447 67.020 65.552 52.717 54.304 47.283 45.696 27.48 19.44 224 0.875 bilinear bicubic -47.978 -47.569 -42.661 -41.628 +13 +2
63 tf_efficientnet_b3 resnest50d_4s2x40d 32.842 34.381 67.158 65.619 52.956 54.737 47.044 45.263 12.23 30.42 300 224 0.904 0.875 bicubic -48.804 -46.767 -42.766 -40.815 -2 +21
64 nasnetalarge tf_efficientnet_b1_ns 32.775 34.131 67.225 65.869 50.150 55.472 49.850 44.528 88.75 7.79 331 240 0.911 0.882 bicubic -49.851 -47.267 -45.900 -40.258 -19 +13
65 gluon_resnet152_v1d tf_efficientnet_b4 32.748 34.088 67.252 65.912 51.080 54.269 48.920 45.731 60.21 19.34 224 380 0.875 0.922 bicubic -47.730 -48.886 -44.120 -42.023 +22 -15
66 tf_efficientnet_b2_ap efficientnet_b3_pruned 32.669 34.033 67.331 65.967 52.247 54.051 47.753 45.949 9.11 9.86 260 300 0.890 0.904 bicubic -47.633 -46.787 -42.785 -41.173 +31 +27
67 tresnet_l tf_efficientnet_b6 32.557 33.976 67.443 66.024 51.145 54.534 48.855 45.466 55.99 43.04 224 528 0.875 0.942 bilinear bicubic -48.929 -50.146 -44.475 -42.356 -2 -33
68 wide_resnet50_2 ssl_resnext101_32x8d 32.484 33.968 67.516 66.032 51.463 55.560 48.537 44.440 68.88 88.79 224 0.875 bicubic bilinear -48.968 -47.632 -44.059 -40.462 -2 +5
69 vit_base_patch32_384 gernet_l 32.471 33.329 67.529 66.671 52.457 51.840 47.543 48.160 88.30 31.08 384 256 1.000 0.875 bicubic bilinear -49.185 -48.015 -43.673 -43.700 -9 +9
70 resnetv2_50x3_bitm tresnet_xl 32.469 33.257 67.531 66.743 54.293 52.288 45.707 47.712 217.32 78.44 480 224 1.000 0.875 bilinear -51.339 -48.909 -42.453 -43.646 -39 -9
71 gluon_resnet152_v1s resnest50d_1s4x24d 32.333 33.178 67.667 66.822 50.528 52.815 49.472 47.185 60.32 25.68 224 0.875 bicubic -48.685 -47.760 -44.892 -42.503 +2 +18
72 gluon_seresnext101_64x4d rexnet_200 32.219 32.978 67.781 67.022 50.343 52.886 49.657 47.114 88.23 16.37 224 0.875 bicubic -48.665 -48.710 -44.971 -42.804 +5 -2
73 gluon_seresnext101_32x4d resnest50d 32.115 32.948 67.885 67.052 51.231 52.581 48.769 47.419 48.96 27.48 224 0.875 bicubic bilinear -48.757 -48.022 -44.061 -42.769 +5 +15
74 seresnext50_32x4d tf_efficientnet_b3 32.019 32.870 67.981 67.130 51.253 52.917 48.747 47.083 27.56 12.23 224 300 0.875 0.904 bicubic -49.255 -48.756 -44.365 -42.789 -5 -2
75 cspresnext50 pnasnet5large 31.816 32.848 68.184 67.152 51.602 50.457 48.398 49.543 20.57 86.06 224 331 0.875 0.911 bilinear bicubic -48.230 -49.938 -43.342 -45.619 +33 -23
76 resnet50 nasnetalarge 31.571 32.764 68.429 67.237 50.178 50.091 49.822 49.909 25.56 88.75 224 331 0.875 0.911 bicubic -47.465 -49.877 -44.214 -45.961 +75 -22
77 ssl_resnext101_32x4d inception_resnet_v2 31.463 32.750 68.537 67.250 52.139 50.645 47.861 49.355 44.18 55.84 224 299 0.875 0.897 bilinear bicubic -49.451 -47.698 -43.595 -44.647 -1 +27
78 rexnet_150 gernet_m 31.372 32.695 68.628 67.305 51.296 51.927 48.704 48.073 9.73 21.14 224 0.875 bicubic bilinear -48.938 -48.035 -43.866 -43.285 +17
79 cspresnet50 gluon_resnet152_v1d 31.264 32.657 68.736 67.343 51.231 51.025 48.769 48.975 21.62 60.21 256 224 0.887 0.875 bilinear bicubic -48.310 -47.823 -43.477 -44.237 +47 +23
80 gluon_resnet101_v1s tf_efficientnet_b2_ap 31.152 32.655 68.848 67.345 49.828 52.219 50.172 47.781 44.67 9.11 224 260 0.875 0.890 bicubic -49.134 -47.585 -45.332 -42.764 +18 +38
81 ecaresnetlight tresnet_l 31.138 32.581 68.862 67.419 50.256 51.151 49.744 48.849 30.16 55.99 224 0.875 bicubic bilinear -49.320 -48.909 -44.994 -44.434 +8 -5
82 tf_efficientnet_cc_b0_8e vit_base_patch32_384 31.085 32.547 68.915 67.453 50.771 52.438 49.229 47.562 24.01 88.30 224 384 0.875 1.000 bicubic -46.823 -49.117 -42.881 -43.690 +107 -11
83 ecaresnet50d wide_resnet50_2 31.079 32.431 68.921 67.569 50.854 51.534 49.146 48.466 25.58 68.88 224 0.875 bicubic -49.535 -48.875 -44.454 -44.054 +1 -3
84 resnet50d ens_adv_inception_resnet_v2 31.036 32.408 68.964 67.592 49.846 50.435 50.154 49.565 25.58 55.84 224 299 0.875 0.897 bicubic -49.512 -47.522 -45.312 -44.515 +2 +46
85 cspdarknet53 resnetv2_50x3_bitm 31.017 32.384 68.984 67.616 50.406 54.271 49.594 45.729 27.64 217.32 256 480 0.887 1.000 bilinear -49.032 -51.416 -44.686 -42.839 +22 -46
86 gluon_resnet152_v1c vit_deit_base_patch16_224 31.011 32.355 68.989 67.645 48.940 50.986 51.060 49.014 60.21 86.57 224 0.875 0.900 bicubic -48.903 -49.639 -45.908 -44.752 +25 -21
87 tresnet_m gluon_resnet152_v1s 30.999 32.309 69.001 67.691 48.692 50.547 51.308 49.453 31.39 60.32 224 0.875 bilinear bicubic -49.805 -48.710 -46.166 -44.879 -6 0
88 gluon_resnext101_64x4d vit_deit_small_distilled_patch16_224 30.997 32.292 69.003 67.708 48.555 52.119 51.445 47.881 83.46 22.44 224 0.875 0.900 bicubic -49.633 -48.958 -46.443 -43.277 -5 -6
89 ecaresnet101d_pruned gluon_seresnext101_64x4d 30.901 32.239 69.099 67.761 50.013 50.359 49.987 49.641 24.88 88.23 224 0.875 bicubic -49.915 -48.613 -45.625 -44.977 -9 +3
90 gluon_resnext101_32x4d gluon_seresnext101_32x4d 30.887 32.062 69.113 67.938 48.559 51.288 51.441 48.712 44.18 48.96 224 0.875 bicubic -49.447 -48.816 -46.349 -43.986 +4 +1
91 tf_efficientnet_cc_b1_8e vit_deit_base_patch16_384 30.887 32.021 69.113 67.979 50.080 50.573 49.920 49.427 39.72 86.86 240 384 0.882 1.000 bicubic -48.439 -51.071 -44.292 -45.779 +42 -45
92 tf_efficientnet_lite4 seresnext50_32x4d 30.849 31.991 69.150 68.009 50.404 51.192 49.596 48.808 13.01 27.56 380 224 0.920 0.875 bilinear bicubic -50.687 -49.279 -45.256 -44.464 -28 -11
93 ese_vovnet39b cspresnext50 30.690 31.838 69.310 68.162 49.871 51.599 50.129 48.401 24.57 20.57 224 0.875 bicubic bilinear -48.622 -48.168 -44.851 -43.333 +42 +35
94 dpn107 resnet50 30.673 31.518 69.327 68.482 48.834 50.184 51.166 49.816 86.92 25.56 224 0.875 bicubic -49.483 -47.486 -46.076 -44.208 +10 +81
95 tresnet_xl_448 ssl_resnext101_32x4d 30.622 31.353 69.379 68.647 49.077 52.070 50.923 47.930 78.44 44.18 448 224 0.875 bilinear -52.434 -49.671 -47.109 -43.678 -55 -9
96 gluon_resnet152_v1b rexnet_150 30.616 31.327 69.384 68.673 48.519 51.223 51.481 48.777 60.19 9.73 224 0.875 bicubic -49.076 -49.023 -46.215 -43.979 +26 +14
97 ssl_resnext50_32x4d cspresnet50 30.606 31.299 69.394 68.701 50.691 51.198 49.309 48.802 25.03 21.62 224 256 0.875 0.887 bilinear -49.696 -48.282 -44.721 -43.514 -1 +51
98 gluon_resnet101_v1d inception_v4 30.535 31.294 69.465 68.706 47.977 49.244 52.023 50.756 44.57 42.68 224 299 0.875 bicubic -49.867 -48.860 -47.043 -45.718 -7 +24
99 dpn68b ecaresnetlight 30.517 31.123 69.483 68.877 49.130 50.221 50.870 49.779 12.61 30.16 224 0.875 bicubic -48.695 -49.337 -45.292 -44.981 +44 +4
100 resnest26d ecaresnet50d 30.502 31.097 69.498 68.903 50.677 50.811 49.323 49.189 17.07 25.58 224 0.875 bilinear bicubic -47.978 -49.517 -43.623 -44.503 +69 -1
101 efficientnet_b2a resnet50d 30.441 31.072 69.559 68.928 49.700 49.820 50.300 50.180 9.11 25.58 288 224 1.000 0.875 bicubic -50.173 -49.421 -45.618 -45.308 -16 0
102 tf_efficientnet_b1_ap ecaresnet50t 30.417 31.064 69.583 68.936 49.549 50.681 50.451 49.319 7.79 25.57 240 320 0.882 0.950 bicubic -48.859 -51.284 -44.753 -45.463 +37 -46
103 dpn98 gluon_resnet101_v1s 30.064 31.056 69.936 68.944 48.252 49.789 51.748 50.211 61.57 44.67 224 0.875 bicubic -49.587 -49.240 -46.354 -45.387 +21 +11
104 seresnet50 tf_efficientnet_cc_b0_8e 30.061 31.052 69.939 68.948 49.329 50.795 50.671 49.205 28.09 24.01 224 0.875 bicubic -50.197 -46.874 -45.737 -42.803 -4 +108
105 dpn131 cspdarknet53 30.026 31.020 69.974 68.980 48.158 50.423 51.842 49.577 79.25 27.64 224 256 0.875 0.887 bicubic bilinear -49.800 -49.029 -46.554 -44.652 +11 +20
106 tf_efficientnet_b2 gluon_resnet152_v1c 30.020 31.020 69.980 68.980 49.592 48.934 50.408 51.066 9.11 60.21 260 224 0.890 0.875 bicubic -50.052 -48.829 -45.312 -45.956 0 +29
107 legacy_senet154 tresnet_m 29.991 30.942 70.009 69.058 48.046 48.682 51.954 51.318 115.09 31.39 224 0.875 bilinear -51.335 -49.778 -47.462 -46.174 -39 -11
108 dpn92 gluon_resnext101_64x4d 29.975 30.916 70.025 69.084 49.178 48.529 50.822 51.471 37.67 83.46 224 0.875 bicubic -50.015 -49.720 -45.666 -46.461 +1 -10
109 xception tf_efficientnet_cc_b1_8e 29.895 30.895 70.106 69.105 48.732 50.060 51.268 49.940 22.86 39.72 299 240 0.897 0.882 bicubic -49.152 -48.393 -45.664 -44.298 +41 +50
110 gluon_senet154 ecaresnet101d_pruned 29.890 30.871 70.109 69.129 47.885 49.968 52.115 50.032 115.09 24.88 224 0.875 bicubic -51.338 -50.015 -47.467 -45.604 -40 -20
111 adv_inception_v3 gluon_resnext101_32x4d 29.814 30.859 70.186 69.141 47.871 48.584 52.129 51.416 23.83 44.18 299 224 0.875 bicubic -47.768 -49.359 -45.869 -46.324 +87 +9
112 gluon_xception65 nf_resnet50 29.796 30.761 70.204 69.239 47.776 50.040 52.224 49.960 39.92 25.56 299 288 0.903 0.940 bicubic -49.906 -49.905 -47.091 -45.318 +9 -15
113 resnetblur50 tf_efficientnet_lite4 29.617 30.735 70.383 69.264 48.268 50.262 51.732 49.738 25.56 13.01 224 380 0.875 0.920 bicubic bilinear -49.669 -50.781 -46.372 -45.362 +25 -39
114 efficientnet_b2 dpn107 29.602 30.627 70.398 69.373 48.791 48.842 51.209 51.158 9.11 86.92 260 224 0.875 bicubic -50.776 -49.553 -46.287 -46.064 -22 +7
115 efficientnet_em ese_vovnet39b 29.492 30.625 70.508 69.374 48.948 49.924 51.052 50.076 6.90 24.57 240 224 0.882 0.875 bicubic -49.772 -48.581 -45.842 -44.804 +25 +51
116 resnext101_32x8d gluon_resnet152_v1b 29.433 30.612 70.567 69.388 48.502 48.535 51.498 51.465 88.79 60.19 224 0.875 bilinear bicubic -49.871 -49.022 -46.024 -46.223 +21 +30
117 ssl_resnet50 tresnet_xl_448 29.423 30.602 70.577 69.398 49.761 49.087 50.239 50.913 25.56 78.44 224 448 0.875 bilinear -49.813 -52.440 -45.069 -47.095 +24 -69
118 resnext50_32x4d ssl_resnext50_32x4d 29.346 30.600 70.654 69.400 47.397 50.642 52.603 49.358 25.03 224 0.875 bicubic bilinear -50.444 -49.732 -47.209 -44.740 0 -7
119 resnet34d gluon_resnet101_v1d 29.321 30.561 70.679 69.439 48.425 47.985 51.575 52.015 21.82 44.57 224 0.875 bicubic -47.793 -49.869 -44.957 -47.029 +92 -13
120 ecaresnet50d_pruned dpn68b 29.218 30.527 70.781 69.473 48.458 49.170 51.542 50.830 19.94 12.61 224 0.875 bicubic -50.494 -48.613 -46.418 -45.254 0 +48
121 tresnet_l_448 resnest26d 29.175 30.514 70.825 69.487 47.256 50.640 52.744 49.360 55.99 17.07 448 224 0.875 bilinear -53.085 -47.926 -48.722 -43.656 -73 +75
122 gluon_inception_v3 efficientnet_b2a 29.134 30.409 70.866 69.591 46.963 49.712 53.037 50.288 23.83 9.11 299 288 0.875 1.000 bicubic -49.666 -50.199 -47.417 -45.586 +35 -22
123 xception71 tf_efficientnet_b1_ap 29.055 30.390 70.945 69.610 47.441 49.545 52.559 50.455 42.34 7.79 299 240 0.903 0.882 bicubic -50.829 -48.900 -47.492 -44.781 -10 +35
124 hrnet_w64 seresnet50 28.996 30.087 71.004 69.913 47.142 49.297 52.858 50.703 128.06 28.09 224 0.875 bilinear bicubic -50.466 -50.205 -47.512 -45.751 +6 -9
125 tf_efficientnet_b0_ns legacy_senet154 28.904 30.048 71.096 69.952 48.991 48.006 51.009 51.994 5.29 115.09 224 0.875 bicubic bilinear -49.756 -51.274 -45.381 -47.448 +39 -46
126 gluon_resnet101_v1b dpn98 28.900 30.040 71.100 69.960 46.405 48.185 53.595 51.815 44.55 61.57 224 0.875 bicubic -50.404 -49.648 -48.125 -46.459 +10 +17
127 xception65 tf_efficientnet_b2 28.900 30.001 71.100 69.999 47.173 49.559 52.827 50.441 39.92 9.11 299 260 0.903 0.890 bicubic -50.650 -50.023 -47.485 -45.385 0
128 resnetv2_101x1_bitm dpn131 28.886 29.999 71.114 70.001 49.525 48.118 50.475 51.882 44.54 79.25 480 224 1.000 0.875 bilinear bicubic -53.328 -49.867 -46.947 -46.608 -78 +6
129 tf_efficientnet_b1 dpn92 28.873 29.912 71.127 70.088 47.515 49.064 52.485 50.936 7.79 37.67 240 224 0.882 0.875 bicubic -49.971 -50.122 -46.681 -45.754 +27 -3
130 skresnext50_32x4d gluon_senet154 28.851 29.843 71.149 70.157 46.507 47.851 53.493 52.149 27.48 115.09 224 0.875 bicubic -51.295 -51.373 -48.133 -47.469 -25 -47
131 tf_efficientnet_lite3 gluon_xception65 28.664 29.834 71.336 70.166 47.374 47.755 52.626 52.245 8.20 39.92 300 299 0.904 0.903 bilinear bicubic -51.162 -49.922 -47.534 -47.097 -14 +9
132 gluon_seresnext50_32x4d xception 28.653 29.814 71.347 70.186 46.470 48.678 53.530 51.322 27.56 22.86 224 299 0.875 0.897 bicubic -51.271 -49.214 -48.352 -45.692 -22 +42
133 skresnet34 adv_inception_v3 28.651 29.804 71.349 70.196 47.967 47.881 52.033 52.119 22.28 23.83 224 299 0.875 bicubic -48.279 -47.758 -45.355 -45.805 +84 +90
134 hrnet_w40 resnetblur50 28.633 29.657 71.367 70.343 47.452 48.201 52.548 51.799 57.56 25.56 224 0.875 bilinear bicubic -50.299 -49.605 -47.026 -46.421 +19 +26
135 tv_resnet152 efficientnet_b2 28.535 29.641 71.465 70.359 47.126 48.751 52.874 51.249 60.19 9.11 224 260 0.875 bilinear bicubic -49.785 -50.673 -46.926 -46.361 +40 -23
136 hrnet_w48 vit_deit_small_patch16_224 28.421 29.468 71.579 70.532 47.586 48.262 52.414 51.738 77.47 22.05 224 0.875 0.900 bilinear bicubic -50.895 -50.400 -46.928 -46.780 -2 -3
137 gluon_resnext50_32x4d efficientnet_em 28.389 29.460 71.611 70.540 45.359 48.916 54.641 51.084 25.03 6.90 224 240 0.875 0.882 bicubic -50.965 -49.770 -49.064 -45.876 -5 +26
138 efficientnet_b2_pruned nf_regnet_b1 28.364 29.445 71.636 70.555 47.059 49.439 52.941 50.561 8.31 10.22 260 288 0.890 0.900 bicubic -51.542 -49.879 -47.797 -45.333 -26 +18
139 tf_efficientnet_b0_ap ssl_resnet50 28.356 29.439 71.644 70.561 47.535 49.852 52.465 50.148 5.29 25.56 224 0.875 bicubic bilinear -48.746 -49.801 -45.729 -45.062 +74 +21
140 tf_efficientnet_cc_b0_4e resnext101_32x8d 28.346 29.439 71.654 70.561 47.372 48.500 52.628 51.500 13.31 88.79 224 0.875 bicubic bilinear -48.974 -49.771 -45.950 -46.056 +65 +26
141 dla169 resnext50_32x4d 28.340 29.352 71.660 70.648 47.397 47.331 52.603 52.669 53.39 25.03 224 0.875 bilinear bicubic -50.354 -50.370 -46.933 -47.275 +21 +1
142 dla102x2 resnet34d 28.326 29.331 71.674 70.669 46.780 48.395 53.220 51.605 41.28 21.82 224 0.875 bilinear bicubic -51.116 -47.766 -47.866 -45.029 -11 +95
143 mixnet_xl ecaresnet50d_pruned 28.285 29.201 71.715 70.799 46.706 48.517 53.294 51.483 11.90 19.94 224 0.875 bicubic -52.189 -50.475 -48.228 -46.405 -55 +2
144 gluon_resnet50_v1d tresnet_l_448 28.238 29.140 71.762 70.860 45.923 47.252 54.077 52.748 25.58 55.99 224 448 0.875 bicubic bilinear -50.826 -53.150 -48.547 -48.726 +5 -87
145 gluon_resnet101_v1c gluon_inception_v3 28.122 29.108 71.878 70.891 45.998 46.941 54.002 53.059 44.57 23.83 224 299 0.875 bicubic -51.410 -49.721 -48.590 -47.457 -17 +37
146 wide_resnet101_2 hrnet_w64 28.104 28.985 71.896 71.015 46.425 47.128 53.575 52.872 126.89 128.06 224 0.875 bilinear -50.750 -50.503 -47.857 -47.510 +9 +6
147 densenet161 xception71 28.098 28.979 71.902 71.021 46.653 47.433 53.347 52.567 28.68 42.34 224 299 0.875 0.903 bicubic -49.262 -50.867 -46.981 -47.503 +57 -11
148 regnetx_320 tf_efficientnet_b0_ns 28.095 28.932 71.906 71.068 45.130 49.038 54.870 50.962 107.81 5.29 224 0.875 bicubic -52.159 -49.668 -49.900 -45.350 -47 +41
149 regnety_320 resnetv2_101x1_bitm 28.069 28.881 71.931 71.120 45.452 49.571 54.548 50.429 145.05 44.54 224 480 0.875 1.000 bicubic bilinear -52.729 -53.328 -49.794 -46.889 -67 -90
150 xception41 tf_efficientnet_b1 27.894 28.867 72.106 71.133 45.896 47.495 54.104 52.505 26.97 7.79 299 240 0.903 0.882 bicubic -50.642 -49.965 -48.388 -46.711 +16 +31
151 regnetx_160 xception65 27.829 28.857 72.171 71.143 45.627 47.187 54.373 52.813 54.28 39.92 224 299 0.875 0.903 bicubic -52.009 -50.735 -49.197 -47.471 -36 -4
152 tf_inception_v3 gluon_resnet101_v1b 27.808 28.839 72.192 71.161 45.725 46.395 54.275 53.605 23.83 44.55 299 224 0.875 bicubic -50.058 -50.521 -47.921 -48.113 +39 +3
153 res2net101_26w_4s skresnext50_32x4d 27.786 28.806 72.214 71.194 45.194 46.486 54.806 53.514 45.21 27.48 224 0.875 bilinear bicubic -51.408 -51.348 -49.240 -48.216 -8 -30
154 hrnet_w44 skresnet34 27.639 28.662 72.361 71.338 45.837 47.965 54.163 52.035 67.06 22.28 224 0.875 bilinear bicubic -51.251 -48.248 -48.537 -45.307 0 +88
155 regnety_160 tf_efficientnet_lite3 27.605 28.649 72.395 71.351 45.542 47.309 54.458 52.691 83.59 8.20 224 300 0.875 0.904 bicubic bilinear -52.671 -51.109 -49.426 -47.555 -56 -16
156 inception_v3 hrnet_w40 27.582 28.615 72.418 71.385 45.263 47.429 54.737 52.571 23.83 57.56 299 224 0.875 bicubic bilinear -49.882 -50.291 -48.213 -47.005 +46 +22
157 regnetx_080 gluon_seresnext50_32x4d 27.399 28.576 72.601 71.424 44.998 46.348 55.002 53.652 39.57 27.56 224 0.875 bicubic -51.813 -51.372 -49.556 -48.488 -13 -28
158 hrnet_w32 tv_resnet152 27.387 28.570 72.613 71.430 46.026 47.110 53.974 52.890 41.23 60.19 224 0.875 bilinear -51.059 -49.680 -48.164 -46.872 +13 +43
159 hrnet_w30 repvgg_b2 27.379 28.399 72.621 71.601 46.560 47.036 53.440 52.964 37.71 89.02 224 0.875 bilinear -50.827 -50.483 -47.664 -47.310 +20 +21
160 gluon_resnet50_v1s tf_efficientnet_b0_ap 27.334 28.391 72.666 71.609 45.257 47.578 54.743 52.422 25.68 5.29 224 0.875 bicubic -51.366 -48.681 -48.989 -45.684 +1 +78
161 densenet201 gluon_resnext50_32x4d 27.277 28.381 72.723 71.619 46.212 45.285 53.788 54.715 20.01 25.03 224 0.875 bicubic -50.013 -50.939 -47.268 -49.215 +45 -4
162 densenetblur121d hrnet_w48 27.247 28.360 72.752 71.640 46.322 47.490 53.678 52.510 8.00 77.47 224 0.875 bicubic bilinear -49.338 -50.876 -46.874 -47.032 +61 0
163 regnety_064 dla102x2 27.218 28.334 72.782 71.666 44.845 46.802 55.155 53.198 30.58 41.28 224 0.875 bicubic bilinear -52.514 -51.094 -49.919 -47.826 -44 -10
164 efficientnet_b1_pruned efficientnet_b2_pruned 27.175 28.322 72.825 71.678 45.890 46.994 54.110 53.006 6.33 8.31 240 260 0.882 0.890 bicubic -51.073 -51.510 -47.946 -47.812 +13 -26
165 rexnet_130 dla169 27.110 28.309 72.890 71.691 45.951 47.331 54.049 52.669 7.56 53.39 224 0.875 bicubic bilinear -52.384 -50.423 -48.723 -47.004 -36 +20
166 res2net50_26w_8s tf_efficientnet_cc_b0_4e 27.096 28.295 72.904 71.705 44.432 47.350 55.568 52.650 48.40 13.31 224 0.875 bilinear bicubic -52.096 -49.001 -49.936 -46.010 -20 +67
167 vit_small_patch16_224 mixnet_xl 27.088 28.264 72.912 71.737 45.723 46.737 54.277 53.263 48.75 11.90 224 0.900 0.875 bicubic -50.766 -52.161 -47.701 -48.151 +26 -60
168 dla102x gluon_resnet50_v1d 27.057 28.203 72.943 71.797 45.507 45.896 54.493 54.104 26.31 25.58 224 0.875 bilinear bicubic -51.453 -50.869 -48.723 -48.582 -1 +5
169 tv_resnet101 densenet161 26.976 28.138 73.024 71.862 45.245 46.623 54.755 53.377 44.55 28.68 224 0.875 bilinear bicubic -50.390 -49.200 -48.310 -47.065 +34 +60
170 resnext50d_32x4d wide_resnet101_2 26.874 28.100 73.126 71.900 44.444 46.497 55.556 53.503 25.05 126.89 224 0.875 bicubic bilinear -52.794 -50.810 -50.422 -47.847 -47 +7
171 regnetx_120 gluon_resnet101_v1c 26.870 28.093 73.130 71.907 44.674 45.943 55.326 54.057 46.11 44.57 224 0.875 bicubic -52.740 -51.457 -50.058 -48.699 -46 -21
172 rexnet_100 regnetx_320 26.860 28.079 73.140 71.921 45.381 45.165 54.619 54.835 4.80 107.81 224 0.875 bicubic -51.002 -52.235 -48.497 -49.903 +20 -59
173 densenet169 regnety_320 26.847 28.041 73.153 71.959 45.409 45.456 54.591 54.544 14.15 145.05 224 0.875 bicubic -49.051 -52.741 -47.613 -49.806 +56 -79
174 regnety_120 gernet_s 26.811 28.018 73.189 71.982 44.505 46.654 55.495 53.346 51.82 8.17 224 0.875 bicubic bilinear -53.567 -48.856 -50.617 -46.474 -81 +69
175 legacy_seresnext101_32x4d xception41 26.805 27.894 73.195 72.106 43.497 45.977 56.503 54.023 48.96 26.97 224 299 0.875 0.903 bilinear bicubic -53.423 -50.602 -51.523 -48.279 -73 +18
176 regnetx_064 regnetx_160 26.799 27.859 73.201 72.141 44.947 45.605 55.053 54.395 26.21 54.28 224 0.875 bicubic -52.264 -52.025 -49.513 -49.221 -28 -44
177 regnetx_032 tf_inception_v3 26.715 27.764 73.285 72.236 45.259 45.786 54.741 54.214 15.30 23.83 224 299 0.875 bicubic -51.433 -50.040 -48.829 -47.938 +3 +40
178 legacy_seresnet152 res2net101_26w_4s 26.678 27.741 73.322 72.259 43.943 45.169 56.057 54.831 66.82 45.21 224 0.875 bilinear -51.988 -51.379 -50.433 -49.263 -15 -8
179 densenet121 repvgg_b1 26.666 27.650 73.334 72.350 45.902 46.501 54.098 53.499 7.98 57.42 224 0.875 bicubic bilinear -48.898 -50.792 -46.746 -47.657 +54 +16
180 tf_efficientnet_el regnety_160 26.633 27.621 73.368 72.379 44.654 45.525 55.346 54.475 10.59 83.59 300 224 0.904 0.875 bicubic -53.816 -52.793 -50.516 -49.455 -90 -72
181 efficientnet_es hrnet_w44 26.631 27.603 73.370 72.397 45.116 45.839 54.884 54.161 5.44 67.06 224 0.875 bicubic bilinear -51.458 -51.283 -48.816 -48.571 +1 -2
182 res2net50_26w_6s inception_v3 26.595 27.584 73.405 72.416 44.000 45.269 56.000 54.731 37.05 23.83 224 299 0.875 bilinear bicubic -51.971 -49.826 -50.120 -48.205 -17 +46
183 dla60x hrnet_w30 26.562 27.460 73.438 72.540 45.049 46.544 54.951 53.456 17.35 37.71 224 0.875 bilinear -51.688 -50.674 -48.975 -47.648 -7 +22
184 regnety_080 regnetx_080 26.552 27.377 73.448 72.623 44.377 44.959 55.623 55.041 39.18 39.57 224 0.875 bicubic -53.318 -51.797 -50.453 -49.597 -70 -17
185 tf_efficientnet_b0 hrnet_w32 26.483 27.367 73.517 72.633 45.656 45.975 54.344 54.025 5.29 41.23 224 0.875 bicubic bilinear -50.365 -51.057 -47.576 -48.227 +33 +12
186 res2net50_14w_8s gluon_resnet50_v1s 26.481 27.350 73.519 72.650 44.377 45.253 55.623 54.747 25.06 25.68 224 0.875 bilinear bicubic -51.657 -51.438 -49.479 -48.987 -5 -2
187 gluon_resnet50_v1b densenetblur121d 26.426 27.289 73.574 72.711 44.047 46.387 55.953 53.613 25.56 8.00 224 0.875 bicubic -51.152 -49.185 -49.671 -46.709 +12 +65
188 regnetx_040 regnety_064 26.247 27.269 73.753 72.731 44.462 44.855 55.538 55.145 22.12 30.58 224 0.875 bicubic -52.237 -52.467 -49.791 -49.903 -20 -47
189 dpn68 densenet201 26.120 27.259 73.880 72.741 44.239 46.230 55.761 53.770 12.61 20.01 224 0.875 bicubic -50.192 -50.061 -48.729 -47.252 +37 +42
190 hrnet_w18 efficientnet_b1_pruned 25.992 27.157 74.008 72.843 44.811 45.823 55.189 54.177 21.30 6.33 224 240 0.875 0.882 bilinear bicubic -50.772 -51.117 -48.631 -47.985 +30 +10
191 regnety_040 rexnet_130 25.929 27.092 74.071 72.908 43.858 45.900 56.142 54.100 20.65 7.56 224 0.875 bicubic -53.303 -52.424 -50.786 -48.760 -49 -40
192 resnet34 vit_small_patch16_224 25.892 27.077 74.108 72.923 43.988 45.642 56.012 54.358 21.80 48.75 224 0.875 0.900 bilinear bicubic -49.214 -50.795 -48.288 -47.749 +50 +23
193 res2net50_26w_4s res2net50_26w_8s 25.884 27.061 74.116 72.939 43.180 44.469 56.820 55.531 25.70 48.40 224 0.875 bilinear -52.108 -52.069 -50.672 -49.935 -8 -24
194 tresnet_m_448 tv_resnet101 25.852 27.000 74.148 73.000 42.883 45.177 57.117 54.823 31.39 44.55 448 224 0.875 bilinear -55.866 -50.314 -52.683 -48.379 -135 +38
195 gluon_resnet50_v1c dla102x 25.788 26.992 74.213 73.008 43.035 45.497 56.965 54.503 25.58 26.31 224 0.875 bicubic bilinear -52.220 -51.536 -50.953 -48.709 -11 -5
196 selecsls60 resnext50d_32x4d 25.727 26.858 74.273 73.141 44.070 44.432 55.930 55.568 30.67 25.05 224 0.875 bicubic -52.263 -52.830 -49.758 -50.412 -10 -52
197 dla60_res2net densenet169 25.681 26.843 74.319 73.157 43.605 45.299 56.395 54.701 20.85 14.15 224 0.875 bilinear bicubic -52.779 -49.107 -50.601 -47.695 -27 +60
198 dla60_res2next legacy_seresnext101_32x4d 25.634 26.835 74.366 73.165 43.679 43.450 56.321 56.550 17.03 48.96 224 0.875 bilinear -52.810 -53.447 -50.479 -51.575 -26 -81
199 tf_efficientnet_lite1 regnetx_064 25.524 26.835 74.476 73.165 43.601 44.921 56.399 55.079 5.42 26.21 240 224 0.882 0.875 bicubic -51.142 -52.243 -49.637 -49.539 +23 -27
200 mixnet_l regnetx_120 25.520 26.803 74.480 73.197 43.481 44.693 56.519 55.307 7.33 46.11 224 0.875 bicubic -53.460 -52.771 -50.701 -49.999 -48 -51
201 tv_resnext50_32x4d rexnet_100 25.477 26.778 74.523 73.222 42.821 45.363 57.179 54.637 25.03 4.80 224 0.875 bilinear bicubic -52.137 -51.108 -50.863 -48.495 -5 +13
202 efficientnet_b1 regnety_120 25.473 26.758 74.527 73.242 43.296 44.475 56.704 55.525 7.79 51.82 240 224 0.875 bicubic -53.233 -53.616 -50.858 -50.633 -42 -93
203 tf_mixnet_l regnetx_032 25.438 26.688 74.562 73.312 42.530 45.234 57.470 54.766 7.33 15.30 224 0.875 bicubic -53.338 -51.460 -51.472 -48.832 -45 +1
204 res2next50 legacy_seresnet152 25.406 26.656 74.594 73.344 42.520 44.025 57.480 55.975 24.67 66.82 224 0.875 bilinear -52.830 -51.988 -51.386 -50.365 -26 -18
205 legacy_seresnet101 dla60x 25.332 26.648 74.668 73.352 42.823 45.049 57.177 54.951 49.33 17.35 224 0.875 bilinear -53.048 -51.578 -51.439 -48.939 -31 -3
206 dla102 densenet121 25.326 26.623 74.674 73.377 43.811 45.833 56.189 54.167 33.27 7.98 224 0.875 bilinear bicubic -52.704 -48.907 -50.141 -46.783 -23 +56
207 selecsls60b res2net50_26w_6s 25.316 26.603 74.684 73.397 43.575 43.939 56.425 56.061 32.77 37.05 224 0.875 bicubic bilinear -53.094 -52.001 -50.603 -50.225 -34 -19
208 resnest14d efficientnet_es 25.312 26.591 74.688 73.409 44.106 45.104 55.894 54.896 10.61 5.44 224 0.875 bilinear bicubic -50.202 -51.441 -48.412 -48.796 +26 +1
209 legacy_seresnext50_32x4d regnety_080 25.227 26.570 74.772 73.430 41.962 44.371 58.038 55.629 27.56 39.18 224 0.875 bilinear bicubic -53.857 -53.270 -52.472 -50.477 -62 -72
210 res2net50_48w_2s repvgg_b1g4 25.019 26.544 74.981 73.456 42.219 45.090 57.781 54.910 25.29 39.97 224 0.875 bilinear -52.515 -50.996 -51.341 -48.704 -10 +14
211 efficientnet_b0 tf_efficientnet_b0 25.017 26.491 74.983 73.509 42.797 45.666 57.203 54.334 5.29 224 0.875 bicubic -52.689 -50.339 -50.725 -47.606 -17 +34
212 gluon_resnet34_v1b res2net50_14w_8s 24.931 26.467 75.069 73.533 42.253 44.357 57.747 55.643 21.80 25.06 224 0.875 bicubic bilinear -49.657 -51.651 -49.743 -49.479 +37 -6
213 dla60 gluon_resnet50_v1b 24.931 26.375 75.069 73.625 43.310 44.045 56.690 55.955 22.04 25.56 224 0.875 bilinear bicubic -52.105 -51.289 -50.014 -49.629 +2 +6
214 mobilenetv2_120d tf_efficientnet_el 24.927 26.340 75.073 73.660 43.054 44.188 56.946 55.812 5.83 10.59 224 300 0.875 0.904 bicubic -52.351 -53.952 -50.456 -50.932 -6 -98
215 regnety_016 regnetx_040 24.801 26.232 75.199 73.768 42.620 44.404 57.380 55.596 11.20 22.12 224 0.875 bicubic -53.067 -52.262 -51.106 -49.865 -25 -21
216 tf_efficientnet_em dpn68 24.549 26.122 75.451 73.878 42.418 44.226 57.582 55.774 6.90 12.61 240 224 0.882 0.875 bicubic -54.163 -50.256 -51.910 -48.752 -57 +37
217 tf_efficientnet_lite2 hrnet_w18 24.532 25.917 75.468 74.083 42.247 44.843 57.753 55.157 6.09 21.30 260 224 0.890 0.875 bicubic bilinear -52.950 -50.915 -51.501 -48.561 -16 +27
218 regnetx_016 regnety_040 24.498 25.915 75.502 74.085 42.520 43.860 57.480 56.140 9.19 20.65 224 0.875 bicubic -52.448 -53.301 -50.906 -50.802 -2 -54
219 skresnet18 tresnet_m_448 24.483 25.856 75.517 74.144 42.544 42.883 57.456 57.117 11.96 31.39 224 448 0.875 bicubic bilinear -48.543 -55.836 -48.628 -52.677 +38 -150
220 tf_efficientnet_lite0 res2net50_26w_4s 24.396 25.839 75.604 74.161 42.485 43.141 57.515 56.859 4.65 25.70 224 0.875 bicubic bilinear -50.436 -52.127 -49.689 -50.689 +25 -10
221 resnetv2_50x1_bitm resnet34 24.227 25.835 75.773 74.165 43.477 43.939 56.523 56.061 25.55 21.80 480 224 1.000 0.875 bilinear -55.965 -49.261 -52.153 -48.307 -118 +49
222 tv_resnet50 gluon_resnet50_v1c 24.078 25.801 75.922 74.199 41.329 43.031 58.671 56.969 25.56 25.58 224 0.875 bilinear bicubic -52.080 -52.125 -51.549 -50.975 +5 -11
223 legacy_seresnet34 selecsls60 24.033 25.793 75.967 74.207 41.905 44.011 58.095 55.989 21.96 30.67 224 0.875 bilinear bicubic -50.757 -52.121 -50.221 -49.811 +23 -10
224 resnet18d dla60_res2net 23.927 25.650 76.073 74.350 42.302 43.611 57.698 56.389 11.71 20.85 224 0.875 bicubic bilinear -48.347 -52.872 -48.386 -50.641 +38 -33
225 efficientnet_lite0 dla60_res2next 23.919 25.648 76.081 74.352 42.105 43.617 57.895 56.383 4.65 17.03 224 0.875 bicubic bilinear -51.583 -52.674 -50.409 -50.573 +11 -26
226 tf_efficientnet_es mixnet_l 23.830 25.558 76.170 74.442 41.325 43.508 58.675 56.492 5.44 7.33 224 0.875 bicubic -53.454 -53.374 -52.279 -50.676 -19 -50
227 tv_densenet121 ecaresnet26t 23.824 25.556 76.176 74.444 41.925 43.595 58.075 56.405 7.98 16.01 224 320 0.875 0.950 bicubic -50.918 -54.328 -50.229 -51.477 +20 -96
228 mobilenetv2_140 tf_efficientnet_lite1 23.701 25.522 76.299 74.478 41.492 43.538 58.508 56.462 6.11 5.42 224 240 0.875 0.882 bicubic -52.811 -51.106 -51.506 -49.710 -5 +19
229 dla34 efficientnet_b1 23.701 25.497 76.299 74.503 41.547 43.267 58.453 56.733 15.74 7.79 224 240 0.875 bilinear bicubic -50.923 -53.107 -50.515 -50.827 +21 -42
230 mixnet_m repvgg_a2 23.697 25.467 76.303 74.533 41.160 44.010 58.840 55.990 5.01 28.21 224 0.875 bicubic bilinear -53.577 -51.021 -52.262 -49.013 -21 +21
231 legacy_seresnet50 tv_resnext50_32x4d 23.648 25.465 76.353 74.535 40.103 42.768 59.897 57.232 28.09 25.03 224 0.875 bilinear -53.989 -52.163 -53.641 -50.912 -36 -11
232 ese_vovnet19b_dw res2next50 23.543 25.428 76.457 74.572 41.282 42.502 58.718 57.498 6.54 24.67 224 0.875 bicubic bilinear -53.275 -52.652 -51.996 -51.450 -13 -25
233 tf_mixnet_m tf_mixnet_l 23.504 25.412 76.496 74.588 40.993 42.571 59.007 57.429 5.01 7.33 224 0.875 bicubic -53.452 -53.390 -52.171 -51.483 -18 -50
234 tv_resnet34 dla102 23.496 25.322 76.504 74.678 41.406 43.898 58.594 56.102 21.80 33.27 224 0.875 bilinear -49.808 -52.732 -50.018 -50.021 +21 -26
235 selecsls42b legacy_seresnet101 23.394 25.306 76.606 74.694 40.665 42.874 59.335 57.126 32.46 49.33 224 0.875 bicubic bilinear -53.790 -53.114 -52.723 -51.300 -25 -37
236 mobilenetv2_110d selecsls60b 23.072 25.302 76.928 74.698 40.738 43.485 59.262 56.515 4.52 32.77 224 0.875 bicubic -51.976 -53.194 -51.452 -50.707 +8 -44
237 mobilenetv3_large_100 legacy_seresnext50_32x4d 22.653 25.292 77.347 74.708 40.787 41.923 59.213 58.077 5.48 27.56 224 0.875 bicubic bilinear -53.121 -53.816 -51.751 -52.555 -7 -66
238 mobilenetv3_rw resnest14d 22.632 25.282 77.368 74.718 40.408 44.011 59.592 55.989 5.48 10.61 224 0.875 bicubic bilinear -52.988 -50.305 -52.304 -48.477 -6 +22
239 tf_mobilenetv3_large_100 res2net50_48w_2s 22.567 25.066 77.433 74.934 39.751 42.157 60.249 57.843 5.48 25.29 224 0.875 bilinear -52.943 -52.452 -52.859 -51.425 -4 -14
240 hrnet_w18_small_v2 efficientnet_b0 22.355 24.976 77.645 75.024 39.897 42.762 60.103 57.238 15.60 5.29 224 0.875 bilinear bicubic -52.754 -52.634 -52.515 -50.802 +1 -18
241 regnety_008 gluon_resnet34_v1b 22.117 24.976 77.883 75.024 38.926 42.235 61.074 57.765 6.26 21.80 224 0.875 bicubic -54.203 -49.520 -54.142 -49.773 -16 +38
242 seresnext26t_32x4d mobilenetv2_120d 22.017 24.876 77.984 75.124 38.588 43.082 61.412 56.918 16.82 5.83 224 0.875 bicubic -55.971 -52.452 -55.144 -50.396 -55 -12
243 seresnext26tn_32x4d dla60 22.007 24.868 77.993 75.132 38.505 43.281 61.495 56.719 16.81 22.04 224 0.875 bicubic bilinear -55.979 -52.056 -55.239 -50.010 -55 -3
244 regnety_006 regnety_016 21.975 24.842 78.025 75.158 38.961 42.650 61.039 57.350 6.06 11.20 224 0.875 bicubic -53.293 -52.962 -53.569 -51.000 -5 -26
245 regnetx_008 tf_efficientnet_lite2 21.960 24.510 78.040 75.490 38.934 42.316 61.066 57.684 7.26 6.09 224 260 0.875 0.890 bicubic -53.092 -52.930 -53.408 -51.446 -2 -18
246 resnet26d skresnet18 21.932 24.471 78.068 75.529 38.641 42.605 61.359 57.395 16.01 11.96 224 0.875 bicubic -54.756 -48.529 -54.505 -48.552 -25 +43
247 semnasnet_100 regnetx_016 21.907 24.436 78.094 75.564 38.604 42.434 61.396 57.566 3.89 9.19 224 0.875 bicubic -53.545 -52.478 -54.006 -50.938 -10 -6
248 regnetx_006 tf_efficientnet_lite0 21.738 24.326 78.263 75.674 38.928 42.477 61.072 57.523 6.20 4.65 224 0.875 bicubic -52.106 -50.542 -52.750 -49.653 +5 +27
249 gluon_resnet18_v1b resnetv2_50x1_bitm 21.549 24.206 78.451 75.794 38.881 43.469 61.119 56.531 11.69 25.55 224 480 0.875 1.000 bicubic bilinear -49.289 -55.946 -50.877 -52.175 +16 -125
250 fbnetc_100 tv_resnet50 21.504 24.157 78.496 75.844 38.150 41.331 61.850 58.669 5.57 25.56 224 0.875 bilinear -53.612 -51.855 -54.224 -51.603 -10 +6
251 mnasnet_100 legacy_seresnet34 21.360 24.058 78.640 75.942 37.723 41.889 62.277 58.111 4.38 21.96 224 0.875 bicubic bilinear -53.310 -50.854 -54.379 -50.275 -3 +23
252 resnet26 resnet18d 21.295 23.964 78.705 76.036 38.036 42.329 61.964 57.671 16.00 11.71 224 0.875 bicubic -53.995 -48.416 -54.530 -48.381 -14 +41
253 ssl_resnet18 efficientnet_lite0 21.293 23.836 78.707 76.164 39.138 42.094 60.862 57.906 11.69 4.65 224 0.875 bilinear bicubic -51.323 -51.608 -52.278 -50.450 +6 +11
254 seresnext26d_32x4d tv_densenet121 21.290 23.832 78.710 76.168 37.326 41.915 62.674 58.085 16.81 7.98 224 0.875 bicubic -56.296 -50.914 -56.282 -50.215 -57 +22
255 mixnet_s mobilenetv2_140 21.272 23.709 78.728 76.291 38.207 41.473 61.793 58.527 4.13 6.11 224 0.875 bicubic -54.722 -52.829 -54.583 -51.471 -27 -5
256 legacy_seresnext26_32x4d mixnet_m 21.075 23.703 78.925 76.297 37.633 41.190 62.367 58.810 16.79 5.01 224 0.875 bicubic -56.031 -53.473 -55.675 -52.236 -44 -22
257 regnetx_004 dla34 20.908 23.661 79.092 76.339 37.566 41.522 62.434 58.478 5.16 15.74 224 0.875 bicubic bilinear -51.486 -50.975 -53.252 -50.600 +3 +21
258 spnasnet_100 legacy_seresnet50 20.851 23.644 79.149 76.356 37.910 40.048 62.090 59.952 4.42 28.09 224 0.875 bilinear -53.229 -53.968 -53.910 -53.748 -7 -37
259 legacy_seresnet18 ese_vovnet19b_dw 20.800 23.496 79.200 76.504 37.621 41.262 62.379 58.738 11.78 6.54 224 0.875 bicubic -50.936 -53.276 -52.721 -52.014 +5 -13
260 mobilenetv2_100 tf_mixnet_m 20.777 23.477 79.223 76.523 37.788 40.956 62.212 59.044 3.50 5.01 224 0.875 bicubic -52.173 -53.487 -53.214 -52.256 -2 -21
261 tf_mixnet_s tv_resnet34 20.470 23.467 79.530 76.533 36.641 41.420 63.359 58.580 4.13 21.80 224 0.875 bicubic bilinear -55.212 -49.799 -55.997 -50.010 -30 +27
262 regnety_004 selecsls42b 20.429 23.341 79.571 76.659 37.032 40.675 62.968 59.325 4.34 32.46 224 0.875 bicubic -53.589 -53.755 -54.732 -52.717 -10 -26
263 hrnet_w18_small tf_efficientnet_em 20.370 23.314 79.630 76.686 37.093 40.425 62.907 59.575 13.19 6.90 224 240 0.875 0.882 bilinear bicubic -51.966 -54.846 -53.591 -53.621 -2 -60
264 tf_mobilenetv3_large_075 repvgg_b0 20.362 23.302 79.638 76.698 36.768 41.146 63.232 58.854 3.99 15.82 224 0.875 bilinear -53.086 -51.912 -54.574 -51.308 -10 +3
265 resnet18 mobilenetv2_110d 20.234 23.095 79.766 76.905 37.265 40.748 62.735 59.252 11.69 4.52 224 0.875 bilinear bicubic -49.508 -51.953 -51.821 -51.385 +2 +7
266 tf_mobilenetv3_large_minimal_100 vit_deit_tiny_distilled_patch16_224 20.122 22.728 79.878 77.272 36.902 40.793 63.098 59.207 3.92 5.91 224 0.875 0.900 bilinear bicubic -52.122 -51.766 -53.734 -51.091 -3 +14
267 regnety_002 mobilenetv3_large_100 17.448 22.697 82.552 77.303 32.437 40.793 67.563 59.207 3.16 5.48 224 0.875 bicubic -52.830 -53.013 -57.109 -51.703 -1 -9
268 regnetx_002 mobilenetv3_rw 16.964 22.640 83.036 77.361 32.233 40.352 67.767 59.648 2.68 5.48 224 0.875 bicubic -51.790 -52.903 -56.327 -52.324 0 -7
269 dla60x_c tf_mobilenetv3_large_100 16.322 22.565 83.678 77.435 31.775 39.702 68.225 60.298 1.32 5.48 224 0.875 bilinear -51.590 -52.955 -56.643 -52.848 +1 -6
270 tf_mobilenetv3_small_100 tf_efficientnet_es 16.224 22.392 83.776 77.608 31.237 39.071 68.763 60.929 2.54 5.44 224 0.875 bilinear bicubic -51.698 -54.170 -56.439 -54.113 -1 -21
271 tf_mobilenetv3_small_075 hrnet_w18_small_v2 14.940 22.347 85.060 77.653 29.594 39.851 70.406 60.149 2.04 15.60 224 0.875 bilinear -50.784 -52.817 -56.540 -52.579 +1 -2
272 dla46_c regnety_008 14.675 22.066 85.325 77.934 29.372 38.873 70.628 61.127 1.30 6.26 224 0.875 bilinear bicubic -50.195 -54.258 -56.922 -54.227 +1 -18
273 dla46x_c seresnext26t_32x4d 14.384 22.011 85.616 77.989 29.193 38.484 70.807 61.516 1.07 16.81 224 0.875 bilinear bicubic -51.592 -55.819 -57.795 -55.244 -2 -57
274 tf_mobilenetv3_small_minimal_100 regnety_006 13.985 21.956 86.015 78.044 27.992 38.849 72.008 61.151 2.04 6.06 224 0.875 bilinear bicubic -48.925 -53.250 -56.252 -53.711 0 -6
275 inception_v4 regnetx_008 1.401 21.930 98.599 78.070 9.012 38.987 90.988 61.013 42.68 7.26 299 224 0.875 bicubic +0.393 -53.096 -7.842 -53.345 0 -2
276 inception_resnet_v2 resnet26d 1.358 21.916 98.642 78.084 9.460 38.564 90.540 61.436 55.85 16.01 299 224 0.897 0.875 bicubic +0.408 -54.684 -7.834 -54.624 +2 -28
277 ens_adv_inception_resnet_v2 semnasnet_100 1.342 21.897 98.658 78.103 9.768 38.645 90.232 61.355 55.85 3.89 299 224 0.897 0.875 bicubic +0.344 -53.529 -7.556 -53.903 -1 -12
278 pnasnet5large regnetx_006 1.340 21.700 98.660 78.300 10.216 38.938 89.784 61.062 86.06 6.20 331 224 0.911 0.875 bicubic +0.356 -52.262 -8.360 -52.746 -1 +5
279 vgg19_bn 21.602 78.398 39.274 60.726 143.68 224 0.875 bilinear -52.614 -52.574 +2
280 gluon_resnet18_v1b 21.506 78.494 38.843 61.157 11.69 224 0.875 bicubic -49.416 -50.927 +21
281 fbnetc_100 21.498 78.502 38.122 61.878 5.57 224 0.875 bilinear -53.584 -54.232 -10
282 mnasnet_100 21.396 78.604 37.654 62.346 4.38 224 0.875 bicubic -53.296 -54.486 -5
283 seresnext26d_32x4d 21.317 78.683 37.281 62.719 16.81 224 0.875 bicubic -56.201 -56.325 -57
284 resnet26 21.295 78.705 38.040 61.960 16.00 224 0.875 bicubic -54.099 -54.544 -18
285 mixnet_s 21.282 78.718 38.173 61.827 4.13 224 0.875 bicubic -54.780 -54.653 -30
286 ssl_resnet18 21.274 78.726 39.038 60.962 11.69 224 0.875 bilinear -51.218 -52.404 +6
287 legacy_seresnext26_32x4d 21.095 78.905 37.609 62.391 16.79 224 0.875 bicubic -56.021 -55.749 -52
288 regnetx_004 20.914 79.086 37.576 62.424 5.16 224 0.875 bicubic -51.622 -53.266 +3
289 spnasnet_100 20.822 79.178 37.853 62.147 4.42 224 0.875 bilinear -53.298 -54.029 -7
290 legacy_seresnet18 20.767 79.233 37.611 62.389 11.78 224 0.875 bicubic -50.985 -52.697 +8
291 mobilenetv2_100 20.724 79.276 37.759 62.241 3.50 224 0.875 bicubic -52.233 -53.283 -1
292 tf_mixnet_s 20.490 79.510 36.611 63.389 4.13 224 0.875 bicubic -55.168 -56.007 -33
293 regnety_004 20.427 79.573 37.016 62.984 4.34 224 0.875 bicubic -53.515 -54.738 -9
294 tf_mobilenetv3_large_075 20.393 79.607 36.812 63.188 3.99 224 0.875 bilinear -52.979 -54.592 -8
295 hrnet_w18_small 20.340 79.660 37.067 62.933 13.19 224 0.875 bilinear -51.936 -53.519 0
296 resnet18 20.213 79.787 37.269 62.731 11.69 224 0.875 bilinear -49.431 -51.713 +9
297 vit_deit_tiny_patch16_224 20.183 79.817 37.544 62.456 5.72 224 0.900 bicubic -52.013 -53.547 0
298 tf_mobilenetv3_large_minimal_100 20.101 79.899 36.910 63.090 3.92 224 0.875 bilinear -52.127 -53.772 -2
299 vgg16_bn 19.902 80.098 36.265 63.735 138.37 224 0.875 bilinear -53.574 -55.271 -14
300 vgg19 17.876 82.124 33.064 66.936 143.67 224 0.875 bilinear -54.484 -57.786 -6
301 vgg13_bn 17.819 82.181 34.078 65.922 133.05 224 0.875 bilinear -53.799 -56.282 -1
302 vgg16 17.509 82.491 32.724 67.276 138.36 224 0.875 bilinear -54.119 -57.644 -3
303 regnety_002 17.446 82.554 32.370 67.629 3.16 224 0.875 bicubic -52.880 -57.185 0
304 vgg11_bn 17.328 82.672 32.966 67.034 132.87 224 0.875 bilinear -53.080 -56.758 -2
305 regnetx_002 16.949 83.051 32.272 67.728 2.68 224 0.875 bicubic -51.881 -56.238 +2
306 dla60x_c 16.359 83.641 31.753 68.247 1.32 224 0.875 bilinear -51.593 -56.685 +2
307 tf_mobilenetv3_small_100 16.271 83.729 31.276 68.724 2.54 224 0.875 bilinear -51.605 -56.406 +2
308 vgg13 16.116 83.885 31.032 68.968 133.05 224 0.875 bilinear -53.868 -58.274 -4
309 vgg11 15.738 84.262 30.482 69.518 132.86 224 0.875 bilinear -53.134 -58.176 -3
310 tf_mobilenetv3_small_075 14.917 85.083 29.549 70.451 2.04 224 0.875 bilinear -50.815 -56.619 +1
311 dla46_c 14.681 85.319 29.417 70.583 1.30 224 0.875 bilinear -50.249 -56.891 +1
312 dla46x_c 14.433 85.567 29.250 70.750 1.07 224 0.875 bilinear -51.497 -57.754 -2
313 tf_mobilenetv3_small_minimal_100 13.956 86.044 28.043 71.957 2.04 224 0.875 bilinear -48.788 -56.337 0
Write Preview
Loading…
Cancel
Save