Update results csvs w/ latest ViT, ResMLP, and NfNet-L2 weights present

pull/729/head
Ross Wightman 4 years ago
parent 766b4d3262
commit d10b071a28

@ -1,57 +1,66 @@
model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation
tf_efficientnet_l2_ns,98.550,1.450,99.820,0.180,480.31,800,0.960,bicubic
tf_efficientnet_l2_ns_475,98.500,1.500,99.830,0.170,480.31,475,0.936,bicubic
vit_large_patch16_384,98.220,1.780,99.800,0.200,304.72,384,1.000,bicubic
swin_large_patch4_window12_384,98.040,1.960,99.690,0.310,196.74,384,1.000,bicubic
tf_efficientnet_b7_ns,97.910,2.090,99.720,0.280,66.35,600,0.949,bicubic
swin_base_patch4_window12_384,97.890,2.110,99.710,0.290,87.90,384,1.000,bicubic
dm_nfnet_f6,97.730,2.270,99.580,0.420,438.36,576,0.956,bicubic
vit_large_r50_s32_384,97.860,2.140,99.670,0.330,329.09,384,1.000,bicubic
vit_base_patch16_384,97.840,2.160,99.670,0.330,86.86,384,1.000,bicubic
tf_efficientnetv2_l_in21ft1k,97.700,2.300,99.670,0.330,118.52,480,1.000,bicubic
swin_large_patch4_window7_224,97.650,2.350,99.580,0.420,196.53,224,0.900,bicubic
vit_large_patch16_224,97.640,2.360,99.590,0.410,304.33,224,0.900,bicubic
tf_efficientnet_b6_ns,97.630,2.370,99.580,0.420,43.04,528,0.942,bicubic
ig_resnext101_32x48d,97.620,2.380,99.700,0.300,828.41,224,0.875,bilinear
dm_nfnet_f5,97.600,2.400,99.550,0.450,377.21,544,0.954,bicubic
dm_nfnet_f4,97.570,2.430,99.520,0.480,316.07,512,0.951,bicubic
dm_nfnet_f6,97.600,2.400,99.550,0.450,438.36,576,0.956,bicubic
dm_nfnet_f4,97.580,2.420,99.510,0.490,316.07,512,0.951,bicubic
dm_nfnet_f5,97.540,2.460,99.570,0.430,377.21,544,0.954,bicubic
tf_efficientnet_b5_ns,97.500,2.500,99.630,0.370,30.39,456,0.934,bicubic
resnetv2_152x4_bitm,97.490,2.510,99.600,0.400,936.53,480,1.000,bilinear
resnetv2_152x4_bitm,97.490,2.510,99.610,0.390,936.53,480,1.000,bilinear
cait_m48_448,97.480,2.520,99.550,0.450,356.46,448,1.000,bicubic
tf_efficientnetv2_m_in21ft1k,97.480,2.520,99.530,0.470,54.14,480,1.000,bicubic
cait_m36_384,97.400,2.600,99.510,0.490,271.22,384,1.000,bicubic
dm_nfnet_f3,97.360,2.640,99.580,0.420,254.92,416,0.940,bicubic
ig_resnext101_32x32d,97.360,2.640,99.680,0.320,468.53,224,0.875,bilinear
dm_nfnet_f3,97.350,2.650,99.560,0.440,254.92,416,0.940,bicubic
cait_s36_384,97.330,2.670,99.530,0.470,68.37,384,1.000,bicubic
tf_efficientnetv2_l,97.280,2.720,99.550,0.450,118.52,480,1.000,bicubic
swin_base_patch4_window7_224,97.250,2.750,99.530,0.470,87.77,224,0.900,bicubic
tf_efficientnet_b8,97.200,2.800,99.500,0.500,87.41,672,0.954,bicubic
tf_efficientnet_b7_ap,97.200,2.800,99.540,0.460,66.35,600,0.949,bicubic
swsl_resnext101_32x8d,97.200,2.800,99.570,0.430,88.79,224,0.875,bilinear
tf_efficientnet_b7_ap,97.200,2.800,99.540,0.460,66.35,600,0.949,bicubic
vit_base_r50_s16_384,97.180,2.820,99.560,0.440,98.95,384,1.000,bicubic
resnetv2_152x2_bitm,97.150,2.850,99.590,0.410,236.34,480,1.000,bilinear
tf_efficientnetv2_m,97.140,2.860,99.410,0.590,54.14,480,1.000,bicubic
tf_efficientnet_b8_ap,97.110,2.890,99.660,0.340,87.41,672,0.954,bicubic
vit_large_patch16_384,97.110,2.890,99.640,0.360,304.72,384,1.000,bicubic
eca_nfnet_l2,97.090,2.910,99.510,0.490,56.72,384,1.000,bicubic
ecaresnet269d,97.080,2.920,99.470,0.530,102.09,352,1.000,bicubic
tf_efficientnet_b6_ap,97.080,2.920,99.620,0.380,43.04,528,0.942,bicubic
cait_s24_384,97.070,2.930,99.430,0.570,47.06,384,1.000,bicubic
resnetv2_101x3_bitm,97.050,2.950,99.520,0.480,387.93,480,1.000,bilinear
dm_nfnet_f2,97.020,2.980,99.440,0.560,193.78,352,0.920,bicubic
resnetv2_152x2_bitm,97.010,2.990,99.590,0.410,236.34,448,1.000,bilinear
tf_efficientnet_b7,97.010,2.990,99.520,0.480,66.35,600,0.949,bicubic
resnetv2_101x3_bitm,96.990,3.010,99.490,0.510,387.93,448,1.000,bilinear
efficientnetv2_rw_m,96.980,3.020,99.540,0.460,53.24,416,1.000,bicubic
dm_nfnet_f2,96.960,3.040,99.450,0.550,193.78,352,0.920,bicubic
vit_deit_base_distilled_patch16_384,96.960,3.040,99.480,0.520,87.63,384,1.000,bicubic
deit_base_distilled_patch16_384,96.960,3.040,99.480,0.520,87.63,384,1.000,bicubic
tf_efficientnet_b4_ns,96.950,3.050,99.580,0.420,19.34,380,0.922,bicubic
dm_nfnet_f1,96.920,3.080,99.390,0.610,132.63,320,0.910,bicubic
dm_nfnet_f1,96.920,3.080,99.410,0.590,132.63,320,0.910,bicubic
resnetrs420,96.910,3.090,99.460,0.540,191.89,416,1.000,bicubic
vit_base_patch16_224,96.880,3.120,99.530,0.470,86.57,224,0.900,bicubic
resnetv2_152x2_bit_teacher_384,96.830,3.170,99.450,0.550,236.34,384,1.000,bicubic
ig_resnext101_32x16d,96.820,3.180,99.590,0.410,194.03,224,0.875,bilinear
resnetv2_50x3_bitm,96.770,3.230,99.430,0.570,217.32,480,1.000,bilinear
vit_large_r50_s32_224,96.790,3.210,99.350,0.650,328.99,224,0.900,bicubic
seresnet152d,96.770,3.230,99.450,0.550,66.84,320,1.000,bicubic
resnetrs350,96.760,3.240,99.370,0.630,163.96,384,1.000,bicubic
tf_efficientnetv2_s_in21ft1k,96.730,3.270,99.420,0.580,21.46,384,1.000,bicubic
resnet200d,96.720,3.280,99.330,0.670,64.69,320,1.000,bicubic
vit_base_patch16_384,96.700,3.300,99.510,0.490,86.86,384,1.000,bicubic
eca_nfnet_l1,96.700,3.300,99.270,0.730,41.41,320,1.000,bicubic
resnetv2_50x3_bitm,96.710,3.290,99.550,0.450,217.32,448,1.000,bilinear
eca_nfnet_l1,96.700,3.300,99.290,0.710,41.41,320,1.000,bicubic
vit_small_patch16_384,96.700,3.300,99.480,0.520,22.20,384,1.000,bicubic
resnetrs270,96.690,3.310,99.350,0.650,129.86,352,1.000,bicubic
pit_b_distilled_224,96.680,3.320,99.350,0.650,74.79,224,0.900,bicubic
tf_efficientnet_b5_ap,96.680,3.320,99.460,0.540,30.39,456,0.934,bicubic
vit_small_r26_s32_384,96.680,3.320,99.570,0.430,36.47,384,1.000,bicubic
tf_efficientnet_b6,96.670,3.330,99.370,0.630,43.04,528,0.942,bicubic
resmlp_big_24_224_in22ft1k,96.620,3.380,99.510,0.490,129.14,224,0.875,bicubic
resnest200e,96.610,3.390,99.350,0.650,70.20,320,0.909,bicubic
swsl_resnext101_32x16d,96.600,3.400,99.520,0.480,194.03,224,0.875,bilinear
resnetrs152,96.580,3.420,99.240,0.760,86.62,320,1.000,bicubic
@ -59,7 +68,9 @@ cait_xs24_384,96.550,3.450,99.420,0.580,26.67,384,1.000,bicubic
efficientnetv2_rw_s,96.540,3.460,99.360,0.640,23.94,384,1.000,bicubic
resnetrs200,96.530,3.470,99.350,0.650,93.21,320,1.000,bicubic
resnest269e,96.520,3.480,99.350,0.650,110.93,416,0.928,bicubic
vit_base_patch32_384,96.490,3.510,99.410,0.590,88.30,384,1.000,bicubic
vit_base_patch16_224_miil,96.460,3.540,99.300,0.700,86.54,224,0.875,bilinear
resmlp_big_24_distilled_224,96.450,3.550,99.310,0.690,129.14,224,0.875,bicubic
swsl_resnext101_32x4d,96.420,3.580,99.470,0.530,44.18,224,0.875,bilinear
tf_efficientnet_b3_ns,96.390,3.610,99.350,0.650,12.23,300,0.904,bicubic
cait_s24_224,96.380,3.620,99.150,0.850,46.92,224,1.000,bicubic
@ -70,19 +81,20 @@ tf_efficientnetv2_s,96.340,3.660,99.200,0.800,21.46,384,1.000,bicubic
ig_resnext101_32x8d,96.320,3.680,99.430,0.570,88.79,224,0.875,bilinear
resnet101d,96.290,3.710,99.230,0.770,44.57,320,1.000,bicubic
twins_svt_large,96.270,3.730,99.170,0.830,99.27,224,0.900,bicubic
twins_svt_base,96.160,3.840,99.060,0.940,56.07,224,0.900,bicubic
tf_efficientnet_b4_ap,96.160,3.840,99.280,0.720,19.34,380,0.922,bicubic
twins_svt_base,96.160,3.840,99.060,0.940,56.07,224,0.900,bicubic
deit_base_patch16_384,96.150,3.850,99.140,0.860,86.86,384,1.000,bicubic
dm_nfnet_f0,96.150,3.850,99.250,0.750,71.49,256,0.900,bicubic
efficientnet_b4,96.150,3.850,99.200,0.800,19.34,384,1.000,bicubic
twins_pcpvt_large,96.150,3.850,99.180,0.820,60.99,224,0.900,bicubic
vit_deit_base_patch16_384,96.150,3.850,99.140,0.860,86.86,384,1.000,bicubic
dm_nfnet_f0,96.140,3.860,99.240,0.760,71.49,256,0.900,bicubic
nfnet_l0,96.090,3.910,99.260,0.740,35.07,288,1.000,bicubic
resnetv2_101x1_bitm,96.090,3.910,99.300,0.700,44.54,480,1.000,bilinear
vit_deit_base_distilled_patch16_224,96.090,3.910,99.190,0.810,87.34,224,0.900,bicubic
resnetv2_50x1_bit_distilled,96.130,3.870,99.280,0.720,25.55,224,0.875,bicubic
nfnet_l0,96.120,3.880,99.240,0.760,35.07,288,1.000,bicubic
resnetv2_152x2_bit_teacher,96.100,3.900,99.280,0.720,236.34,224,0.875,bicubic
resnetv2_101x1_bitm,96.100,3.900,99.280,0.720,44.54,448,1.000,bilinear
deit_base_distilled_patch16_224,96.090,3.910,99.190,0.810,87.34,224,0.900,bicubic
regnety_032,95.970,4.030,99.190,0.810,19.44,288,1.000,bicubic
tresnet_xl_448,95.970,4.030,99.130,0.870,78.44,448,0.875,bilinear
vit_large_patch16_224,95.950,4.050,99.240,0.760,304.33,224,0.900,bicubic
eca_nfnet_l0,95.930,4.070,99.210,0.790,24.14,288,1.000,bicubic
eca_nfnet_l0,95.950,4.050,99.210,0.790,24.14,288,1.000,bicubic
swin_small_patch4_window7_224,95.910,4.090,99.020,0.980,49.61,224,0.900,bicubic
tf_efficientnet_b4,95.900,4.100,99.170,0.830,19.34,380,0.922,bicubic
swsl_resnext50_32x4d,95.870,4.130,99.250,0.750,25.03,224,0.875,bilinear
@ -91,15 +103,15 @@ resnet51q,95.860,4.140,99.120,0.880,35.70,288,1.000,bilinear
tresnet_l_448,95.860,4.140,99.120,0.880,55.99,448,0.875,bilinear
cait_xxs36_384,95.850,4.150,99.090,0.910,17.37,384,1.000,bicubic
vit_large_patch32_384,95.830,4.170,99.150,0.850,306.63,384,1.000,bicubic
vit_base_patch32_384,95.810,4.190,99.150,0.850,88.30,384,1.000,bicubic
ssl_resnext101_32x16d,95.800,4.200,99.180,0.820,194.03,224,0.875,bilinear
twins_pcpvt_base,95.790,4.210,99.130,0.870,43.83,224,0.900,bicubic
tf_efficientnet_b2_ns,95.770,4.230,99.120,0.880,9.11,260,0.890,bicubic
tresnet_m,95.720,4.280,99.030,0.970,31.39,224,0.875,bilinear
pnasnet5large,95.710,4.290,98.920,1.080,86.06,331,0.911,bicubic
efficientnet_b3,95.710,4.290,99.040,0.960,12.23,320,1.000,bicubic
pnasnet5large,95.710,4.290,98.920,1.080,86.06,331,0.911,bicubic
nasnetalarge,95.680,4.320,98.930,1.070,88.75,331,0.911,bicubic
pit_b_224,95.640,4.360,98.660,1.340,73.76,224,0.900,bicubic
vit_small_r26_s32_224,95.630,4.370,99.190,0.810,36.43,224,0.900,bicubic
convit_base,95.550,4.450,98.870,1.130,86.54,224,0.875,bicubic
coat_lite_small,95.540,4.460,98.860,1.140,19.84,224,0.900,bicubic
ecaresnet101d,95.530,4.470,99.130,0.870,44.57,224,0.875,bicubic
@ -107,12 +119,12 @@ levit_384,95.530,4.470,99.050,0.950,39.13,224,0.900,bicubic
ecaresnet50t,95.510,4.490,99.120,0.880,25.57,320,0.950,bicubic
visformer_small,95.490,4.510,98.900,1.100,40.22,224,0.900,bicubic
ssl_resnext101_32x8d,95.470,4.530,99.110,0.890,88.79,224,0.875,bilinear
tresnet_xl,95.440,4.560,99.050,0.950,78.44,224,0.875,bilinear
vit_deit_base_patch16_224,95.440,4.560,98.840,1.160,86.57,224,0.900,bicubic
deit_base_patch16_224,95.440,4.560,98.840,1.160,86.57,224,0.900,bicubic
ssl_resnext101_32x4d,95.440,4.560,99.130,0.870,44.18,224,0.875,bilinear
tresnet_xl,95.440,4.560,99.050,0.950,78.44,224,0.875,bilinear
resnetrs101,95.430,4.570,99.030,0.970,63.62,288,0.940,bicubic
swsl_resnet50,95.410,4.590,99.290,0.710,25.56,224,0.875,bilinear
vit_base_patch16_224,95.330,4.670,99.000,1.000,86.57,224,0.900,bicubic
vit_small_patch16_224,95.370,4.630,99.150,0.850,22.05,224,0.900,bicubic
tf_efficientnet_b3_ap,95.320,4.680,98.900,1.100,12.23,300,0.904,bicubic
mixer_b16_224_miil,95.300,4.700,98.880,1.120,59.88,224,0.875,bilinear
tresnet_l,95.290,4.710,99.010,0.990,55.99,224,0.875,bilinear
@ -129,12 +141,14 @@ gernet_l,95.090,4.910,98.900,1.100,31.08,256,0.875,bilinear
ecaresnet101d_pruned,95.080,4.920,98.980,1.020,24.88,224,0.875,bicubic
wide_resnet50_2,95.080,4.920,98.970,1.030,68.88,224,0.875,bicubic
legacy_senet154,95.070,4.930,98.830,1.170,115.09,224,0.875,bilinear
resnetv2_50x1_bitm,95.050,4.950,99.160,0.840,25.55,480,1.000,bilinear
gluon_resnet152_v1s,95.040,4.960,98.930,1.070,60.32,224,0.875,bicubic
vit_small_patch32_384,95.050,4.950,98.990,1.010,22.92,384,1.000,bicubic
seresnext50_32x4d,95.040,4.960,98.880,1.120,27.56,224,0.875,bicubic
tnt_s_patch16_224,95.040,4.960,98.830,1.170,23.76,224,0.900,bicubic
tf_efficientnet_b3,95.010,4.990,98.910,1.090,12.23,300,0.904,bicubic
gluon_resnet152_v1s,95.040,4.960,98.930,1.070,60.32,224,0.875,bicubic
levit_256,95.010,4.990,98.890,1.110,18.89,224,0.900,bicubic
resnetv2_50x1_bitm,95.010,4.990,99.060,0.940,25.55,448,1.000,bilinear
tf_efficientnet_b3,95.010,4.990,98.910,1.090,12.23,300,0.904,bicubic
vit_base_patch32_224,95.000,5.000,99.030,0.970,88.22,224,0.900,bicubic
tresnet_m_448,94.990,5.010,98.980,1.020,31.39,448,0.875,bilinear
coat_mini,94.970,5.030,98.780,1.220,10.34,224,0.900,bicubic
resnest50d_4s2x40d,94.960,5.040,99.070,0.930,30.42,224,0.875,bicubic
@ -143,69 +157,74 @@ gluon_seresnext101_64x4d,94.930,5.070,98.830,1.170,88.23,224,0.875,bicubic
gluon_senet154,94.920,5.080,98.760,1.240,115.09,224,0.875,bicubic
gluon_seresnext101_32x4d,94.920,5.080,98.810,1.190,48.96,224,0.875,bicubic
tf_efficientnet_lite4,94.890,5.110,99.020,0.980,13.01,380,0.920,bilinear
resmlp_36_distilled_224,94.890,5.110,98.850,1.150,44.69,224,0.875,bicubic
ssl_resnext50_32x4d,94.870,5.130,98.880,1.120,25.03,224,0.875,bilinear
resnest50d,94.830,5.170,98.880,1.120,27.48,224,0.875,bilinear
ecaresnetlight,94.770,5.230,98.800,1.200,30.16,224,0.875,bicubic
resnest50d_1s4x24d,94.750,5.250,98.980,1.020,25.68,224,0.875,bicubic
gluon_resnet152_v1d,94.740,5.260,98.740,1.260,60.21,224,0.875,bicubic
gluon_resnet101_v1s,94.720,5.280,98.820,1.180,44.67,224,0.875,bicubic
vit_deit_small_distilled_patch16_224,94.710,5.290,99.030,0.970,22.44,224,0.900,bicubic
deit_small_distilled_patch16_224,94.710,5.290,99.030,0.970,22.44,224,0.900,bicubic
gluon_resnext101_64x4d,94.670,5.330,98.650,1.350,83.46,224,0.875,bicubic
cspdarknet53,94.660,5.340,98.800,1.200,27.64,256,0.887,bilinear
resmlp_big_24_224,94.660,5.340,98.480,1.520,129.14,224,0.875,bicubic
ecaresnet50d,94.630,5.370,98.890,1.110,25.58,224,0.875,bicubic
efficientnet_b3_pruned,94.630,5.370,98.760,1.240,9.86,300,0.904,bicubic
gernet_m,94.620,5.380,98.860,1.140,21.14,224,0.875,bilinear
efficientnet_b2,94.610,5.390,98.710,1.290,9.11,288,1.000,bicubic
nf_resnet50,94.590,5.410,98.810,1.190,25.56,288,0.940,bicubic
pit_s_224,94.590,5.410,98.710,1.290,23.46,224,0.900,bicubic
repvgg_b3,94.570,5.430,98.780,1.220,123.09,224,0.875,bilinear
nf_resnet50,94.560,5.440,98.790,1.210,25.56,288,0.940,bicubic
seresnet50,94.550,5.450,98.750,1.250,28.09,224,0.875,bicubic
inception_resnet_v2,94.540,5.460,98.790,1.210,55.84,299,0.897,bicubic
regnety_320,94.540,5.460,98.850,1.150,145.05,224,0.875,bicubic
gluon_resnext101_32x4d,94.530,5.470,98.630,1.370,44.18,224,0.875,bicubic
repvgg_b3g4,94.520,5.480,98.970,1.030,83.83,224,0.875,bilinear
tf_efficientnet_b2_ap,94.490,5.510,98.620,1.380,9.11,260,0.890,bicubic
cspresnext50,94.480,5.520,98.680,1.320,20.57,224,0.875,bilinear
regnety_120,94.480,5.520,98.810,1.190,51.82,224,0.875,bicubic
rexnet_150,94.480,5.520,98.790,1.210,9.73,224,0.875,bicubic
cspresnext50,94.480,5.520,98.680,1.320,20.57,224,0.875,bilinear
resmlp_24_distilled_224,94.460,5.540,98.770,1.230,30.02,224,0.875,bicubic
regnetx_320,94.460,5.540,98.740,1.260,107.81,224,0.875,bicubic
ssl_resnet50,94.450,5.550,98.920,1.080,25.56,224,0.875,bilinear
tf_efficientnetv2_b2,94.420,5.580,98.570,1.430,10.10,260,0.890,bicubic
tf_efficientnet_el,94.410,5.590,98.710,1.290,10.59,300,0.904,bicubic
deit_small_patch16_224,94.400,5.600,98.690,1.310,22.05,224,0.900,bicubic
efficientnet_el_pruned,94.400,5.600,98.740,1.260,10.59,300,0.904,bicubic
vit_deit_small_patch16_224,94.400,5.600,98.690,1.310,22.05,224,0.900,bicubic
inception_v4,94.380,5.620,98.580,1.420,42.68,299,0.875,bicubic
legacy_seresnext101_32x4d,94.370,5.630,98.650,1.350,48.96,224,0.875,bilinear
tf_efficientnet_b2,94.360,5.640,98.610,1.390,9.11,260,0.890,bicubic
gluon_seresnext50_32x4d,94.340,5.660,98.610,1.390,27.56,224,0.875,bicubic
resnetrs50,94.310,5.690,98.640,1.360,35.69,224,0.910,bicubic
dpn107,94.310,5.690,98.480,1.520,86.92,224,0.875,bicubic
ecaresnet26t,94.310,5.690,98.720,1.280,16.01,320,0.950,bicubic
resnetrs50,94.310,5.690,98.640,1.360,35.69,224,0.910,bicubic
xception71,94.280,5.720,98.640,1.360,42.34,299,0.903,bicubic
cait_xxs36_224,94.260,5.740,98.720,1.280,17.30,224,1.000,bicubic
gluon_xception65,94.260,5.740,98.570,1.430,39.92,299,0.903,bicubic
resnet50d,94.260,5.740,98.720,1.280,25.58,224,0.875,bicubic
skresnext50_32x4d,94.260,5.740,98.460,1.540,27.48,224,0.875,bicubic
gluon_xception65,94.260,5.740,98.570,1.430,39.92,299,0.903,bicubic
cait_xxs36_224,94.260,5.740,98.720,1.280,17.30,224,1.000,bicubic
regnetx_120,94.240,5.760,98.650,1.350,46.11,224,0.875,bicubic
dpn92,94.230,5.770,98.730,1.270,37.67,224,0.875,bicubic
ecaresnet50d_pruned,94.220,5.780,98.730,1.270,19.94,224,0.875,bicubic
gluon_resnet101_v1d,94.220,5.780,98.550,1.450,44.57,224,0.875,bicubic
tf_efficientnet_lite3,94.200,5.800,98.640,1.360,8.20,300,0.904,bilinear
resmlp_36_224,94.190,5.810,98.660,1.340,44.69,224,0.875,bicubic
mixnet_xl,94.190,5.810,98.340,1.660,11.90,224,0.875,bicubic
resnext50d_32x4d,94.180,5.820,98.570,1.430,25.05,224,0.875,bicubic
levit_192,94.170,5.830,98.540,1.460,10.95,224,0.900,bicubic
regnety_080,94.170,5.830,98.680,1.320,39.18,224,0.875,bicubic
gluon_resnet152_v1c,94.160,5.840,98.640,1.360,60.21,224,0.875,bicubic
ens_adv_inception_resnet_v2,94.160,5.840,98.600,1.400,55.84,299,0.897,bicubic
gluon_resnet152_v1c,94.160,5.840,98.640,1.360,60.21,224,0.875,bicubic
regnety_064,94.150,5.850,98.730,1.270,30.58,224,0.875,bicubic
efficientnet_b2_pruned,94.140,5.860,98.530,1.470,8.31,260,0.890,bicubic
dpn98,94.130,5.870,98.570,1.430,61.57,224,0.875,bicubic
nf_regnet_b1,94.130,5.870,98.630,1.370,10.22,288,0.900,bicubic
nf_regnet_b1,94.120,5.880,98.630,1.370,10.22,288,0.900,bicubic
regnetx_160,94.120,5.880,98.750,1.250,54.28,224,0.875,bicubic
resnext50_32x4d,94.100,5.900,98.350,1.650,25.03,224,0.875,bicubic
ese_vovnet39b,94.090,5.910,98.660,1.340,24.57,224,0.875,bicubic
gluon_resnet152_v1b,94.080,5.920,98.450,1.550,60.19,224,0.875,bicubic
coat_lite_mini,94.060,5.940,98.560,1.440,11.01,224,0.900,bicubic
resmlp_24_224,94.020,5.980,98.330,1.670,30.02,224,0.875,bicubic
dpn131,94.010,5.990,98.720,1.280,79.25,224,0.875,bicubic
hrnet_w64,94.010,5.990,98.610,1.390,128.06,224,0.875,bilinear
resnetblur50,93.960,6.040,98.590,1.410,25.56,224,0.875,bicubic
@ -216,13 +235,13 @@ rexnet_130,93.900,6.100,98.400,1.600,7.56,224,0.875,bicubic
tf_efficientnet_cc_b1_8e,93.900,6.100,98.260,1.740,39.72,240,0.882,bicubic
regnetx_064,93.890,6.110,98.630,1.370,26.21,224,0.875,bicubic
regnetx_080,93.870,6.130,98.520,1.480,39.57,224,0.875,bicubic
regnety_040,93.860,6.140,98.650,1.350,20.65,224,0.875,bicubic
repvgg_b2g4,93.860,6.140,98.590,1.410,61.76,224,0.875,bilinear
regnety_040,93.860,6.140,98.650,1.350,20.65,224,0.875,bicubic
efficientnet_em,93.840,6.160,98.810,1.190,6.90,240,0.882,bicubic
resnext101_32x8d,93.830,6.170,98.580,1.420,88.79,224,0.875,bilinear
resnet50,93.810,6.190,98.390,1.610,25.56,224,0.875,bicubic
pit_xs_distilled_224,93.810,6.190,98.670,1.330,11.00,224,0.900,bicubic
gluon_resnext50_32x4d,93.810,6.190,98.410,1.590,25.03,224,0.875,bicubic
pit_xs_distilled_224,93.810,6.190,98.670,1.330,11.00,224,0.900,bicubic
resnet50,93.810,6.190,98.390,1.610,25.56,224,0.875,bicubic
gluon_resnet50_v1d,93.770,6.230,98.390,1.610,25.58,224,0.875,bicubic
xception65,93.760,6.240,98.370,1.630,39.92,299,0.903,bicubic
gluon_resnet101_v1b,93.750,6.250,98.380,1.620,44.55,224,0.875,bicubic
@ -230,9 +249,10 @@ res2net101_26w_4s,93.750,6.250,98.310,1.690,45.21,224,0.875,bilinear
cspresnet50,93.740,6.260,98.640,1.360,21.62,256,0.887,bilinear
legacy_seresnext50_32x4d,93.730,6.270,98.580,1.420,27.56,224,0.875,bilinear
wide_resnet101_2,93.720,6.280,98.540,1.460,126.89,224,0.875,bilinear
dpn68b,93.690,6.310,98.510,1.490,12.61,224,0.875,bicubic
tf_efficientnet_b1_ap,93.690,6.310,98.360,1.640,7.79,240,0.882,bicubic
dpn68b,93.690,6.310,98.510,1.490,12.61,224,0.875,bicubic
gluon_resnet101_v1c,93.670,6.330,98.420,1.580,44.57,224,0.875,bicubic
vit_tiny_patch16_384,93.650,6.350,98.600,1.400,5.79,384,1.000,bicubic
tf_efficientnet_b0_ns,93.630,6.370,98.640,1.360,5.29,224,0.875,bicubic
gluon_resnet50_v1s,93.620,6.380,98.460,1.540,25.68,224,0.875,bicubic
cait_xxs24_224,93.600,6.400,98.440,1.560,11.96,224,1.000,bicubic
@ -245,8 +265,8 @@ dla102x,93.520,6.480,98.510,1.490,26.31,224,0.875,bilinear
repvgg_b2,93.500,6.500,98.730,1.270,89.02,224,0.875,bilinear
tf_efficientnet_b1,93.500,6.500,98.360,1.640,7.79,240,0.882,bicubic
hrnet_w40,93.490,6.510,98.580,1.420,57.56,224,0.875,bilinear
xception,93.460,6.540,98.530,1.470,22.86,299,0.897,bicubic
gluon_inception_v3,93.460,6.540,98.570,1.430,23.83,299,0.875,bicubic
xception,93.460,6.540,98.530,1.470,22.86,299,0.897,bicubic
mixnet_l,93.450,6.550,98.220,1.780,7.33,224,0.875,bicubic
xception41,93.430,6.570,98.430,1.570,26.97,299,0.903,bicubic
res2net50_26w_6s,93.410,6.590,98.280,1.720,37.05,224,0.875,bilinear
@ -257,8 +277,8 @@ repvgg_b1,93.330,6.670,98.510,1.490,57.42,224,0.875,bilinear
resnest26d,93.330,6.670,98.630,1.370,17.07,224,0.875,bilinear
tf_inception_v3,93.320,6.680,98.030,1.970,23.83,299,0.875,bicubic
tf_mixnet_l,93.310,6.690,98.030,1.970,7.33,224,0.875,bicubic
tv_resnet152,93.300,6.700,98.390,1.610,60.19,224,0.875,bilinear
selecsls60b,93.300,6.700,98.280,1.720,32.77,224,0.875,bicubic
tv_resnet152,93.300,6.700,98.390,1.610,60.19,224,0.875,bilinear
legacy_seresnet101,93.280,6.720,98.510,1.490,49.33,224,0.875,bilinear
efficientnet_b1,93.250,6.750,98.290,1.710,7.79,256,1.000,bicubic
coat_lite_tiny,93.240,6.760,98.260,1.740,5.72,224,0.900,bicubic
@ -268,8 +288,8 @@ dla60_res2next,93.180,6.820,98.410,1.590,17.03,224,0.875,bilinear
efficientnet_es,93.140,6.860,98.420,1.580,5.44,224,0.875,bicubic
dla60x,93.120,6.880,98.510,1.490,17.35,224,0.875,bilinear
regnetx_032,93.120,6.880,98.390,1.610,15.30,224,0.875,bicubic
pit_xs_224,93.110,6.890,98.310,1.690,10.62,224,0.900,bicubic
tf_efficientnetv2_b0,93.110,6.890,98.390,1.610,7.14,224,0.875,bicubic
pit_xs_224,93.110,6.890,98.310,1.690,10.62,224,0.900,bicubic
dla102,93.060,6.940,98.540,1.460,33.27,224,0.875,bilinear
gluon_resnet50_v1c,93.030,6.970,98.390,1.610,25.58,224,0.875,bicubic
regnety_016,93.030,6.970,98.360,1.640,11.20,224,0.875,bicubic
@ -282,10 +302,11 @@ tf_efficientnet_em,92.930,7.070,98.190,1.810,6.90,240,0.882,bicubic
adv_inception_v3,92.880,7.120,98.140,1.860,23.83,299,0.875,bicubic
res2next50,92.840,7.160,98.180,1.820,24.67,224,0.875,bilinear
tf_efficientnet_cc_b0_8e,92.830,7.170,98.180,1.820,24.01,224,0.875,bicubic
resmlp_12_distilled_224,92.830,7.170,98.140,1.860,15.35,224,0.875,bicubic
gmixer_24_224,92.830,7.170,97.880,2.120,24.72,224,0.875,bicubic
seresnext26t_32x4d,92.820,7.180,98.370,1.630,16.81,224,0.875,bicubic
tv_resnet101,92.810,7.190,98.250,1.750,44.55,224,0.875,bilinear
efficientnet_b1_pruned,92.770,7.230,98.040,1.960,6.33,240,0.882,bicubic
vit_small_patch16_224,92.760,7.240,97.930,2.070,48.75,224,0.900,bicubic
densenet201,92.750,7.250,98.230,1.770,20.01,224,0.875,bicubic
res2net50_14w_8s,92.740,7.260,98.180,1.820,25.06,224,0.875,bilinear
tv_resnext50_32x4d,92.740,7.260,98.270,1.730,25.03,224,0.875,bilinear
@ -313,10 +334,13 @@ selecsls42b,92.280,7.720,98.150,1.850,32.46,224,0.875,bicubic
mobilenetv3_large_100_miil,92.260,7.740,97.640,2.360,5.48,224,0.875,bilinear
tf_efficientnet_b0,92.250,7.750,98.000,2.000,5.29,224,0.875,bicubic
dla60,92.230,7.770,98.110,1.890,22.04,224,0.875,bilinear
resmlp_12_224,92.210,7.790,98.160,1.840,15.35,224,0.875,bicubic
tf_efficientnet_b0_ap,92.200,7.800,98.020,1.980,5.29,224,0.875,bicubic
regnetx_016,92.170,7.830,98.210,1.790,9.19,224,0.875,bicubic
gernet_s,92.140,7.860,98.190,1.810,8.17,224,0.875,bilinear
resnet26d,92.070,7.930,97.960,2.040,16.01,224,0.875,bicubic
vit_small_patch32_224,92.040,7.960,98.230,1.770,22.88,224,0.900,bicubic
vit_tiny_r_s16_p8_384,92.040,7.960,98.290,1.710,6.36,384,1.000,bicubic
hardcorenas_c,92.020,7.980,97.840,2.160,5.52,224,0.875,bilinear
dpn68,92.010,7.990,98.050,1.950,12.61,224,0.875,bicubic
tf_efficientnet_es,91.980,8.020,97.860,2.140,5.44,224,0.875,bicubic
@ -329,6 +353,7 @@ mixer_b16_224,91.870,8.130,97.250,2.750,59.88,224,0.875,bicubic
mixnet_s,91.830,8.170,97.690,2.310,4.13,224,0.875,bicubic
mobilenetv2_140,91.830,8.170,97.860,2.140,6.11,224,0.875,bicubic
hardcorenas_b,91.770,8.230,97.780,2.220,5.18,224,0.875,bilinear
vit_tiny_patch16_224,91.760,8.240,98.040,1.960,5.72,224,0.900,bicubic
regnety_008,91.750,8.250,98.180,1.820,6.26,224,0.875,bicubic
resnest14d,91.720,8.280,97.870,2.130,10.61,224,0.875,bilinear
densenet121,91.570,8.430,98.030,1.970,7.98,224,0.875,bicubic
@ -353,8 +378,8 @@ pit_ti_distilled_224,90.900,9.100,97.700,2.300,5.10,224,0.900,bicubic
legacy_seresnet34,90.890,9.110,97.580,2.420,21.96,224,0.875,bilinear
tv_densenet121,90.890,9.110,97.710,2.290,7.98,224,0.875,bicubic
dla34,90.760,9.240,97.660,2.340,15.74,224,0.875,bilinear
deit_tiny_distilled_patch16_224,90.700,9.300,97.570,2.430,5.91,224,0.900,bicubic
fbnetc_100,90.700,9.300,97.210,2.790,5.57,224,0.875,bilinear
vit_deit_tiny_distilled_patch16_224,90.700,9.300,97.570,2.430,5.91,224,0.900,bicubic
swsl_resnet18,90.690,9.310,97.700,2.300,11.69,224,0.875,bilinear
convit_tiny,90.630,9.370,97.740,2.260,5.71,224,0.875,bicubic
mnasnet_100,90.510,9.490,97.470,2.530,4.38,224,0.875,bicubic
@ -368,10 +393,11 @@ ghostnet_100,90.020,9.980,97.370,2.630,5.18,224,0.875,bilinear
pit_ti_224,89.940,10.060,97.450,2.550,4.85,224,0.900,bicubic
tv_resnet34,89.940,10.060,97.340,2.660,21.80,224,0.875,bilinear
tf_mobilenetv3_large_075,89.680,10.320,97.210,2.790,3.99,224,0.875,bilinear
vit_deit_tiny_patch16_224,89.670,10.330,97.450,2.550,5.72,224,0.900,bicubic
deit_tiny_patch16_224,89.670,10.330,97.450,2.550,5.72,224,0.900,bicubic
skresnet18,89.660,10.340,97.230,2.770,11.96,224,0.875,bicubic
mobilenetv2_100,89.600,10.400,97.140,2.860,3.50,224,0.875,bicubic
resnet18d,89.280,10.720,97.150,2.850,11.71,224,0.875,bicubic
vit_tiny_r_s16_p8_224,89.170,10.830,97.230,2.770,6.34,224,0.900,bicubic
hrnet_w18_small,89.050,10.950,97.110,2.890,13.19,224,0.875,bilinear
vgg19,89.040,10.960,96.870,3.130,143.67,224,0.875,bilinear
tf_mobilenetv3_large_minimal_100,88.970,11.030,96.860,3.140,3.92,224,0.875,bilinear

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
2 tf_efficientnet_l2_ns 98.550 1.450 99.820 0.180 480.31 800 0.960 bicubic
3 tf_efficientnet_l2_ns_475 98.500 1.500 99.830 0.170 480.31 475 0.936 bicubic
4 vit_large_patch16_384 98.220 1.780 99.800 0.200 304.72 384 1.000 bicubic
5 swin_large_patch4_window12_384 98.040 1.960 99.690 0.310 196.74 384 1.000 bicubic
6 tf_efficientnet_b7_ns 97.910 2.090 99.720 0.280 66.35 600 0.949 bicubic
7 swin_base_patch4_window12_384 97.890 2.110 99.710 0.290 87.90 384 1.000 bicubic
8 dm_nfnet_f6 vit_large_r50_s32_384 97.730 97.860 2.270 2.140 99.580 99.670 0.420 0.330 438.36 329.09 576 384 0.956 1.000 bicubic
9 vit_base_patch16_384 97.840 2.160 99.670 0.330 86.86 384 1.000 bicubic
10 tf_efficientnetv2_l_in21ft1k 97.700 2.300 99.670 0.330 118.52 480 1.000 bicubic
11 swin_large_patch4_window7_224 97.650 2.350 99.580 0.420 196.53 224 0.900 bicubic
12 vit_large_patch16_224 97.640 2.360 99.590 0.410 304.33 224 0.900 bicubic
13 tf_efficientnet_b6_ns 97.630 2.370 99.580 0.420 43.04 528 0.942 bicubic
14 ig_resnext101_32x48d 97.620 2.380 99.700 0.300 828.41 224 0.875 bilinear
15 dm_nfnet_f5 dm_nfnet_f6 97.600 2.400 99.550 0.450 377.21 438.36 544 576 0.954 0.956 bicubic
16 dm_nfnet_f4 97.570 97.580 2.430 2.420 99.520 99.510 0.480 0.490 316.07 512 0.951 bicubic
17 dm_nfnet_f5 97.540 2.460 99.570 0.430 377.21 544 0.954 bicubic
18 tf_efficientnet_b5_ns 97.500 2.500 99.630 0.370 30.39 456 0.934 bicubic
19 resnetv2_152x4_bitm 97.490 2.510 99.600 99.610 0.400 0.390 936.53 480 1.000 bilinear
20 cait_m48_448 97.480 2.520 99.550 0.450 356.46 448 1.000 bicubic
21 tf_efficientnetv2_m_in21ft1k 97.480 2.520 99.530 0.470 54.14 480 1.000 bicubic
22 cait_m36_384 97.400 2.600 99.510 0.490 271.22 384 1.000 bicubic
dm_nfnet_f3 97.360 2.640 99.580 0.420 254.92 416 0.940 bicubic
23 ig_resnext101_32x32d 97.360 2.640 99.680 0.320 468.53 224 0.875 bilinear
24 dm_nfnet_f3 97.350 2.650 99.560 0.440 254.92 416 0.940 bicubic
25 cait_s36_384 97.330 2.670 99.530 0.470 68.37 384 1.000 bicubic
26 tf_efficientnetv2_l 97.280 2.720 99.550 0.450 118.52 480 1.000 bicubic
27 swin_base_patch4_window7_224 97.250 2.750 99.530 0.470 87.77 224 0.900 bicubic
28 tf_efficientnet_b8 97.200 2.800 99.500 0.500 87.41 672 0.954 bicubic
tf_efficientnet_b7_ap 97.200 2.800 99.540 0.460 66.35 600 0.949 bicubic
29 swsl_resnext101_32x8d 97.200 2.800 99.570 0.430 88.79 224 0.875 bilinear
30 tf_efficientnet_b7_ap 97.200 2.800 99.540 0.460 66.35 600 0.949 bicubic
31 vit_base_r50_s16_384 97.180 2.820 99.560 0.440 98.95 384 1.000 bicubic
resnetv2_152x2_bitm 97.150 2.850 99.590 0.410 236.34 480 1.000 bilinear
32 tf_efficientnetv2_m 97.140 2.860 99.410 0.590 54.14 480 1.000 bicubic
33 tf_efficientnet_b8_ap 97.110 2.890 99.660 0.340 87.41 672 0.954 bicubic
34 vit_large_patch16_384 eca_nfnet_l2 97.110 97.090 2.890 2.910 99.640 99.510 0.360 0.490 304.72 56.72 384 1.000 bicubic
35 ecaresnet269d 97.080 2.920 99.470 0.530 102.09 352 1.000 bicubic
36 tf_efficientnet_b6_ap 97.080 2.920 99.620 0.380 43.04 528 0.942 bicubic
37 cait_s24_384 97.070 2.930 99.430 0.570 47.06 384 1.000 bicubic
38 resnetv2_101x3_bitm dm_nfnet_f2 97.050 97.020 2.950 2.980 99.520 99.440 0.480 0.560 387.93 193.78 480 352 1.000 0.920 bilinear bicubic
39 resnetv2_152x2_bitm 97.010 2.990 99.590 0.410 236.34 448 1.000 bilinear
40 tf_efficientnet_b7 97.010 2.990 99.520 0.480 66.35 600 0.949 bicubic
41 resnetv2_101x3_bitm 96.990 3.010 99.490 0.510 387.93 448 1.000 bilinear
42 efficientnetv2_rw_m 96.980 3.020 99.540 0.460 53.24 416 1.000 bicubic
43 dm_nfnet_f2 deit_base_distilled_patch16_384 96.960 3.040 99.450 99.480 0.550 0.520 193.78 87.63 352 384 0.920 1.000 bicubic
vit_deit_base_distilled_patch16_384 96.960 3.040 99.480 0.520 87.63 384 1.000 bicubic
44 tf_efficientnet_b4_ns 96.950 3.050 99.580 0.420 19.34 380 0.922 bicubic
45 dm_nfnet_f1 96.920 3.080 99.390 99.410 0.610 0.590 132.63 320 0.910 bicubic
46 resnetrs420 96.910 3.090 99.460 0.540 191.89 416 1.000 bicubic
47 vit_base_patch16_224 96.880 3.120 99.530 0.470 86.57 224 0.900 bicubic
48 resnetv2_152x2_bit_teacher_384 96.830 3.170 99.450 0.550 236.34 384 1.000 bicubic
49 ig_resnext101_32x16d 96.820 3.180 99.590 0.410 194.03 224 0.875 bilinear
50 resnetv2_50x3_bitm vit_large_r50_s32_224 96.770 96.790 3.230 3.210 99.430 99.350 0.570 0.650 217.32 328.99 480 224 1.000 0.900 bilinear bicubic
51 seresnet152d 96.770 3.230 99.450 0.550 66.84 320 1.000 bicubic
52 resnetrs350 96.760 3.240 99.370 0.630 163.96 384 1.000 bicubic
53 tf_efficientnetv2_s_in21ft1k 96.730 3.270 99.420 0.580 21.46 384 1.000 bicubic
54 resnet200d 96.720 3.280 99.330 0.670 64.69 320 1.000 bicubic
55 vit_base_patch16_384 resnetv2_50x3_bitm 96.700 96.710 3.300 3.290 99.510 99.550 0.490 0.450 86.86 217.32 384 448 1.000 bicubic bilinear
56 eca_nfnet_l1 96.700 3.300 99.270 99.290 0.730 0.710 41.41 320 1.000 bicubic
57 vit_small_patch16_384 96.700 3.300 99.480 0.520 22.20 384 1.000 bicubic
58 resnetrs270 96.690 3.310 99.350 0.650 129.86 352 1.000 bicubic
59 pit_b_distilled_224 96.680 3.320 99.350 0.650 74.79 224 0.900 bicubic
60 tf_efficientnet_b5_ap 96.680 3.320 99.460 0.540 30.39 456 0.934 bicubic
61 vit_small_r26_s32_384 96.680 3.320 99.570 0.430 36.47 384 1.000 bicubic
62 tf_efficientnet_b6 96.670 3.330 99.370 0.630 43.04 528 0.942 bicubic
63 resmlp_big_24_224_in22ft1k 96.620 3.380 99.510 0.490 129.14 224 0.875 bicubic
64 resnest200e 96.610 3.390 99.350 0.650 70.20 320 0.909 bicubic
65 swsl_resnext101_32x16d 96.600 3.400 99.520 0.480 194.03 224 0.875 bilinear
66 resnetrs152 96.580 3.420 99.240 0.760 86.62 320 1.000 bicubic
68 efficientnetv2_rw_s 96.540 3.460 99.360 0.640 23.94 384 1.000 bicubic
69 resnetrs200 96.530 3.470 99.350 0.650 93.21 320 1.000 bicubic
70 resnest269e 96.520 3.480 99.350 0.650 110.93 416 0.928 bicubic
71 vit_base_patch32_384 96.490 3.510 99.410 0.590 88.30 384 1.000 bicubic
72 vit_base_patch16_224_miil 96.460 3.540 99.300 0.700 86.54 224 0.875 bilinear
73 resmlp_big_24_distilled_224 96.450 3.550 99.310 0.690 129.14 224 0.875 bicubic
74 swsl_resnext101_32x4d 96.420 3.580 99.470 0.530 44.18 224 0.875 bilinear
75 tf_efficientnet_b3_ns 96.390 3.610 99.350 0.650 12.23 300 0.904 bicubic
76 cait_s24_224 96.380 3.620 99.150 0.850 46.92 224 1.000 bicubic
81 ig_resnext101_32x8d 96.320 3.680 99.430 0.570 88.79 224 0.875 bilinear
82 resnet101d 96.290 3.710 99.230 0.770 44.57 320 1.000 bicubic
83 twins_svt_large 96.270 3.730 99.170 0.830 99.27 224 0.900 bicubic
twins_svt_base 96.160 3.840 99.060 0.940 56.07 224 0.900 bicubic
84 tf_efficientnet_b4_ap 96.160 3.840 99.280 0.720 19.34 380 0.922 bicubic
85 twins_svt_base 96.160 3.840 99.060 0.940 56.07 224 0.900 bicubic
86 deit_base_patch16_384 96.150 3.850 99.140 0.860 86.86 384 1.000 bicubic
87 dm_nfnet_f0 96.150 3.850 99.250 0.750 71.49 256 0.900 bicubic
88 efficientnet_b4 96.150 3.850 99.200 0.800 19.34 384 1.000 bicubic
89 twins_pcpvt_large 96.150 3.850 99.180 0.820 60.99 224 0.900 bicubic
90 vit_deit_base_patch16_384 resnetv2_50x1_bit_distilled 96.150 96.130 3.850 3.870 99.140 99.280 0.860 0.720 86.86 25.55 384 224 1.000 0.875 bicubic
91 dm_nfnet_f0 nfnet_l0 96.140 96.120 3.860 3.880 99.240 0.760 71.49 35.07 256 288 0.900 1.000 bicubic
92 nfnet_l0 resnetv2_152x2_bit_teacher 96.090 96.100 3.910 3.900 99.260 99.280 0.740 0.720 35.07 236.34 288 224 1.000 0.875 bicubic
93 resnetv2_101x1_bitm 96.090 96.100 3.910 3.900 99.300 99.280 0.700 0.720 44.54 480 448 1.000 bilinear
94 vit_deit_base_distilled_patch16_224 deit_base_distilled_patch16_224 96.090 3.910 99.190 0.810 87.34 224 0.900 bicubic
95 regnety_032 95.970 4.030 99.190 0.810 19.44 288 1.000 bicubic
96 tresnet_xl_448 95.970 4.030 99.130 0.870 78.44 448 0.875 bilinear
97 vit_large_patch16_224 eca_nfnet_l0 95.950 4.050 99.240 99.210 0.760 0.790 304.33 24.14 224 288 0.900 1.000 bicubic
eca_nfnet_l0 95.930 4.070 99.210 0.790 24.14 288 1.000 bicubic
98 swin_small_patch4_window7_224 95.910 4.090 99.020 0.980 49.61 224 0.900 bicubic
99 tf_efficientnet_b4 95.900 4.100 99.170 0.830 19.34 380 0.922 bicubic
100 swsl_resnext50_32x4d 95.870 4.130 99.250 0.750 25.03 224 0.875 bilinear
103 tresnet_l_448 95.860 4.140 99.120 0.880 55.99 448 0.875 bilinear
104 cait_xxs36_384 95.850 4.150 99.090 0.910 17.37 384 1.000 bicubic
105 vit_large_patch32_384 95.830 4.170 99.150 0.850 306.63 384 1.000 bicubic
vit_base_patch32_384 95.810 4.190 99.150 0.850 88.30 384 1.000 bicubic
106 ssl_resnext101_32x16d 95.800 4.200 99.180 0.820 194.03 224 0.875 bilinear
107 twins_pcpvt_base 95.790 4.210 99.130 0.870 43.83 224 0.900 bicubic
108 tf_efficientnet_b2_ns 95.770 4.230 99.120 0.880 9.11 260 0.890 bicubic
109 tresnet_m 95.720 4.280 99.030 0.970 31.39 224 0.875 bilinear
pnasnet5large 95.710 4.290 98.920 1.080 86.06 331 0.911 bicubic
110 efficientnet_b3 95.710 4.290 99.040 0.960 12.23 320 1.000 bicubic
111 pnasnet5large 95.710 4.290 98.920 1.080 86.06 331 0.911 bicubic
112 nasnetalarge 95.680 4.320 98.930 1.070 88.75 331 0.911 bicubic
113 pit_b_224 95.640 4.360 98.660 1.340 73.76 224 0.900 bicubic
114 vit_small_r26_s32_224 95.630 4.370 99.190 0.810 36.43 224 0.900 bicubic
115 convit_base 95.550 4.450 98.870 1.130 86.54 224 0.875 bicubic
116 coat_lite_small 95.540 4.460 98.860 1.140 19.84 224 0.900 bicubic
117 ecaresnet101d 95.530 4.470 99.130 0.870 44.57 224 0.875 bicubic
119 ecaresnet50t 95.510 4.490 99.120 0.880 25.57 320 0.950 bicubic
120 visformer_small 95.490 4.510 98.900 1.100 40.22 224 0.900 bicubic
121 ssl_resnext101_32x8d 95.470 4.530 99.110 0.890 88.79 224 0.875 bilinear
122 tresnet_xl deit_base_patch16_224 95.440 4.560 99.050 98.840 0.950 1.160 78.44 86.57 224 0.875 0.900 bilinear bicubic
vit_deit_base_patch16_224 95.440 4.560 98.840 1.160 86.57 224 0.900 bicubic
123 ssl_resnext101_32x4d 95.440 4.560 99.130 0.870 44.18 224 0.875 bilinear
124 tresnet_xl 95.440 4.560 99.050 0.950 78.44 224 0.875 bilinear
125 resnetrs101 95.430 4.570 99.030 0.970 63.62 288 0.940 bicubic
126 swsl_resnet50 95.410 4.590 99.290 0.710 25.56 224 0.875 bilinear
127 vit_base_patch16_224 vit_small_patch16_224 95.330 95.370 4.670 4.630 99.000 99.150 1.000 0.850 86.57 22.05 224 0.900 bicubic
128 tf_efficientnet_b3_ap 95.320 4.680 98.900 1.100 12.23 300 0.904 bicubic
129 mixer_b16_224_miil 95.300 4.700 98.880 1.120 59.88 224 0.875 bilinear
130 tresnet_l 95.290 4.710 99.010 0.990 55.99 224 0.875 bilinear
141 ecaresnet101d_pruned 95.080 4.920 98.980 1.020 24.88 224 0.875 bicubic
142 wide_resnet50_2 95.080 4.920 98.970 1.030 68.88 224 0.875 bicubic
143 legacy_senet154 95.070 4.930 98.830 1.170 115.09 224 0.875 bilinear
144 resnetv2_50x1_bitm vit_small_patch32_384 95.050 4.950 99.160 98.990 0.840 1.010 25.55 22.92 480 384 1.000 bilinear bicubic
gluon_resnet152_v1s 95.040 4.960 98.930 1.070 60.32 224 0.875 bicubic
145 seresnext50_32x4d 95.040 4.960 98.880 1.120 27.56 224 0.875 bicubic
146 tnt_s_patch16_224 95.040 4.960 98.830 1.170 23.76 224 0.900 bicubic
147 tf_efficientnet_b3 gluon_resnet152_v1s 95.010 95.040 4.990 4.960 98.910 98.930 1.090 1.070 12.23 60.32 300 224 0.904 0.875 bicubic
148 levit_256 95.010 4.990 98.890 1.110 18.89 224 0.900 bicubic
149 resnetv2_50x1_bitm 95.010 4.990 99.060 0.940 25.55 448 1.000 bilinear
150 tf_efficientnet_b3 95.010 4.990 98.910 1.090 12.23 300 0.904 bicubic
151 vit_base_patch32_224 95.000 5.000 99.030 0.970 88.22 224 0.900 bicubic
152 tresnet_m_448 94.990 5.010 98.980 1.020 31.39 448 0.875 bilinear
153 coat_mini 94.970 5.030 98.780 1.220 10.34 224 0.900 bicubic
154 resnest50d_4s2x40d 94.960 5.040 99.070 0.930 30.42 224 0.875 bicubic
157 gluon_senet154 94.920 5.080 98.760 1.240 115.09 224 0.875 bicubic
158 gluon_seresnext101_32x4d 94.920 5.080 98.810 1.190 48.96 224 0.875 bicubic
159 tf_efficientnet_lite4 94.890 5.110 99.020 0.980 13.01 380 0.920 bilinear
160 resmlp_36_distilled_224 94.890 5.110 98.850 1.150 44.69 224 0.875 bicubic
161 ssl_resnext50_32x4d 94.870 5.130 98.880 1.120 25.03 224 0.875 bilinear
162 resnest50d 94.830 5.170 98.880 1.120 27.48 224 0.875 bilinear
163 ecaresnetlight 94.770 5.230 98.800 1.200 30.16 224 0.875 bicubic
164 resnest50d_1s4x24d 94.750 5.250 98.980 1.020 25.68 224 0.875 bicubic
165 gluon_resnet152_v1d 94.740 5.260 98.740 1.260 60.21 224 0.875 bicubic
166 gluon_resnet101_v1s 94.720 5.280 98.820 1.180 44.67 224 0.875 bicubic
167 vit_deit_small_distilled_patch16_224 deit_small_distilled_patch16_224 94.710 5.290 99.030 0.970 22.44 224 0.900 bicubic
168 gluon_resnext101_64x4d 94.670 5.330 98.650 1.350 83.46 224 0.875 bicubic
169 cspdarknet53 94.660 5.340 98.800 1.200 27.64 256 0.887 bilinear
170 resmlp_big_24_224 94.660 5.340 98.480 1.520 129.14 224 0.875 bicubic
171 ecaresnet50d 94.630 5.370 98.890 1.110 25.58 224 0.875 bicubic
172 efficientnet_b3_pruned 94.630 5.370 98.760 1.240 9.86 300 0.904 bicubic
173 gernet_m 94.620 5.380 98.860 1.140 21.14 224 0.875 bilinear
174 efficientnet_b2 94.610 5.390 98.710 1.290 9.11 288 1.000 bicubic
nf_resnet50 94.590 5.410 98.810 1.190 25.56 288 0.940 bicubic
175 pit_s_224 94.590 5.410 98.710 1.290 23.46 224 0.900 bicubic
176 repvgg_b3 94.570 5.430 98.780 1.220 123.09 224 0.875 bilinear
177 nf_resnet50 94.560 5.440 98.790 1.210 25.56 288 0.940 bicubic
178 seresnet50 94.550 5.450 98.750 1.250 28.09 224 0.875 bicubic
179 inception_resnet_v2 94.540 5.460 98.790 1.210 55.84 299 0.897 bicubic
180 regnety_320 94.540 5.460 98.850 1.150 145.05 224 0.875 bicubic
181 gluon_resnext101_32x4d 94.530 5.470 98.630 1.370 44.18 224 0.875 bicubic
182 repvgg_b3g4 94.520 5.480 98.970 1.030 83.83 224 0.875 bilinear
183 tf_efficientnet_b2_ap 94.490 5.510 98.620 1.380 9.11 260 0.890 bicubic
cspresnext50 94.480 5.520 98.680 1.320 20.57 224 0.875 bilinear
184 regnety_120 94.480 5.520 98.810 1.190 51.82 224 0.875 bicubic
185 rexnet_150 94.480 5.520 98.790 1.210 9.73 224 0.875 bicubic
186 cspresnext50 94.480 5.520 98.680 1.320 20.57 224 0.875 bilinear
187 resmlp_24_distilled_224 94.460 5.540 98.770 1.230 30.02 224 0.875 bicubic
188 regnetx_320 94.460 5.540 98.740 1.260 107.81 224 0.875 bicubic
189 ssl_resnet50 94.450 5.550 98.920 1.080 25.56 224 0.875 bilinear
190 tf_efficientnetv2_b2 94.420 5.580 98.570 1.430 10.10 260 0.890 bicubic
191 tf_efficientnet_el 94.410 5.590 98.710 1.290 10.59 300 0.904 bicubic
192 deit_small_patch16_224 94.400 5.600 98.690 1.310 22.05 224 0.900 bicubic
193 efficientnet_el_pruned 94.400 5.600 98.740 1.260 10.59 300 0.904 bicubic
vit_deit_small_patch16_224 94.400 5.600 98.690 1.310 22.05 224 0.900 bicubic
194 inception_v4 94.380 5.620 98.580 1.420 42.68 299 0.875 bicubic
195 legacy_seresnext101_32x4d 94.370 5.630 98.650 1.350 48.96 224 0.875 bilinear
196 tf_efficientnet_b2 94.360 5.640 98.610 1.390 9.11 260 0.890 bicubic
197 gluon_seresnext50_32x4d 94.340 5.660 98.610 1.390 27.56 224 0.875 bicubic
198 resnetrs50 94.310 5.690 98.640 1.360 35.69 224 0.910 bicubic
199 dpn107 94.310 5.690 98.480 1.520 86.92 224 0.875 bicubic
200 ecaresnet26t 94.310 5.690 98.720 1.280 16.01 320 0.950 bicubic
resnetrs50 94.310 5.690 98.640 1.360 35.69 224 0.910 bicubic
201 xception71 94.280 5.720 98.640 1.360 42.34 299 0.903 bicubic
202 cait_xxs36_224 94.260 5.740 98.720 1.280 17.30 224 1.000 bicubic
203 gluon_xception65 94.260 5.740 98.570 1.430 39.92 299 0.903 bicubic
204 resnet50d 94.260 5.740 98.720 1.280 25.58 224 0.875 bicubic
205 skresnext50_32x4d 94.260 5.740 98.460 1.540 27.48 224 0.875 bicubic
gluon_xception65 94.260 5.740 98.570 1.430 39.92 299 0.903 bicubic
cait_xxs36_224 94.260 5.740 98.720 1.280 17.30 224 1.000 bicubic
206 regnetx_120 94.240 5.760 98.650 1.350 46.11 224 0.875 bicubic
207 dpn92 94.230 5.770 98.730 1.270 37.67 224 0.875 bicubic
208 ecaresnet50d_pruned 94.220 5.780 98.730 1.270 19.94 224 0.875 bicubic
209 gluon_resnet101_v1d 94.220 5.780 98.550 1.450 44.57 224 0.875 bicubic
210 tf_efficientnet_lite3 94.200 5.800 98.640 1.360 8.20 300 0.904 bilinear
211 resmlp_36_224 94.190 5.810 98.660 1.340 44.69 224 0.875 bicubic
212 mixnet_xl 94.190 5.810 98.340 1.660 11.90 224 0.875 bicubic
213 resnext50d_32x4d 94.180 5.820 98.570 1.430 25.05 224 0.875 bicubic
214 levit_192 94.170 5.830 98.540 1.460 10.95 224 0.900 bicubic
215 regnety_080 94.170 5.830 98.680 1.320 39.18 224 0.875 bicubic
gluon_resnet152_v1c 94.160 5.840 98.640 1.360 60.21 224 0.875 bicubic
216 ens_adv_inception_resnet_v2 94.160 5.840 98.600 1.400 55.84 299 0.897 bicubic
217 gluon_resnet152_v1c 94.160 5.840 98.640 1.360 60.21 224 0.875 bicubic
218 regnety_064 94.150 5.850 98.730 1.270 30.58 224 0.875 bicubic
219 efficientnet_b2_pruned 94.140 5.860 98.530 1.470 8.31 260 0.890 bicubic
220 dpn98 94.130 5.870 98.570 1.430 61.57 224 0.875 bicubic
221 nf_regnet_b1 94.130 94.120 5.870 5.880 98.630 1.370 10.22 288 0.900 bicubic
222 regnetx_160 94.120 5.880 98.750 1.250 54.28 224 0.875 bicubic
223 resnext50_32x4d 94.100 5.900 98.350 1.650 25.03 224 0.875 bicubic
224 ese_vovnet39b 94.090 5.910 98.660 1.340 24.57 224 0.875 bicubic
225 gluon_resnet152_v1b 94.080 5.920 98.450 1.550 60.19 224 0.875 bicubic
226 coat_lite_mini 94.060 5.940 98.560 1.440 11.01 224 0.900 bicubic
227 resmlp_24_224 94.020 5.980 98.330 1.670 30.02 224 0.875 bicubic
228 dpn131 94.010 5.990 98.720 1.280 79.25 224 0.875 bicubic
229 hrnet_w64 94.010 5.990 98.610 1.390 128.06 224 0.875 bilinear
230 resnetblur50 93.960 6.040 98.590 1.410 25.56 224 0.875 bicubic
235 tf_efficientnet_cc_b1_8e 93.900 6.100 98.260 1.740 39.72 240 0.882 bicubic
236 regnetx_064 93.890 6.110 98.630 1.370 26.21 224 0.875 bicubic
237 regnetx_080 93.870 6.130 98.520 1.480 39.57 224 0.875 bicubic
regnety_040 93.860 6.140 98.650 1.350 20.65 224 0.875 bicubic
238 repvgg_b2g4 93.860 6.140 98.590 1.410 61.76 224 0.875 bilinear
239 regnety_040 93.860 6.140 98.650 1.350 20.65 224 0.875 bicubic
240 efficientnet_em 93.840 6.160 98.810 1.190 6.90 240 0.882 bicubic
241 resnext101_32x8d 93.830 6.170 98.580 1.420 88.79 224 0.875 bilinear
resnet50 93.810 6.190 98.390 1.610 25.56 224 0.875 bicubic
pit_xs_distilled_224 93.810 6.190 98.670 1.330 11.00 224 0.900 bicubic
242 gluon_resnext50_32x4d 93.810 6.190 98.410 1.590 25.03 224 0.875 bicubic
243 pit_xs_distilled_224 93.810 6.190 98.670 1.330 11.00 224 0.900 bicubic
244 resnet50 93.810 6.190 98.390 1.610 25.56 224 0.875 bicubic
245 gluon_resnet50_v1d 93.770 6.230 98.390 1.610 25.58 224 0.875 bicubic
246 xception65 93.760 6.240 98.370 1.630 39.92 299 0.903 bicubic
247 gluon_resnet101_v1b 93.750 6.250 98.380 1.620 44.55 224 0.875 bicubic
249 cspresnet50 93.740 6.260 98.640 1.360 21.62 256 0.887 bilinear
250 legacy_seresnext50_32x4d 93.730 6.270 98.580 1.420 27.56 224 0.875 bilinear
251 wide_resnet101_2 93.720 6.280 98.540 1.460 126.89 224 0.875 bilinear
dpn68b 93.690 6.310 98.510 1.490 12.61 224 0.875 bicubic
252 tf_efficientnet_b1_ap 93.690 6.310 98.360 1.640 7.79 240 0.882 bicubic
253 dpn68b 93.690 6.310 98.510 1.490 12.61 224 0.875 bicubic
254 gluon_resnet101_v1c 93.670 6.330 98.420 1.580 44.57 224 0.875 bicubic
255 vit_tiny_patch16_384 93.650 6.350 98.600 1.400 5.79 384 1.000 bicubic
256 tf_efficientnet_b0_ns 93.630 6.370 98.640 1.360 5.29 224 0.875 bicubic
257 gluon_resnet50_v1s 93.620 6.380 98.460 1.540 25.68 224 0.875 bicubic
258 cait_xxs24_224 93.600 6.400 98.440 1.560 11.96 224 1.000 bicubic
265 repvgg_b2 93.500 6.500 98.730 1.270 89.02 224 0.875 bilinear
266 tf_efficientnet_b1 93.500 6.500 98.360 1.640 7.79 240 0.882 bicubic
267 hrnet_w40 93.490 6.510 98.580 1.420 57.56 224 0.875 bilinear
xception 93.460 6.540 98.530 1.470 22.86 299 0.897 bicubic
268 gluon_inception_v3 93.460 6.540 98.570 1.430 23.83 299 0.875 bicubic
269 xception 93.460 6.540 98.530 1.470 22.86 299 0.897 bicubic
270 mixnet_l 93.450 6.550 98.220 1.780 7.33 224 0.875 bicubic
271 xception41 93.430 6.570 98.430 1.570 26.97 299 0.903 bicubic
272 res2net50_26w_6s 93.410 6.590 98.280 1.720 37.05 224 0.875 bilinear
277 resnest26d 93.330 6.670 98.630 1.370 17.07 224 0.875 bilinear
278 tf_inception_v3 93.320 6.680 98.030 1.970 23.83 299 0.875 bicubic
279 tf_mixnet_l 93.310 6.690 98.030 1.970 7.33 224 0.875 bicubic
tv_resnet152 93.300 6.700 98.390 1.610 60.19 224 0.875 bilinear
280 selecsls60b 93.300 6.700 98.280 1.720 32.77 224 0.875 bicubic
281 tv_resnet152 93.300 6.700 98.390 1.610 60.19 224 0.875 bilinear
282 legacy_seresnet101 93.280 6.720 98.510 1.490 49.33 224 0.875 bilinear
283 efficientnet_b1 93.250 6.750 98.290 1.710 7.79 256 1.000 bicubic
284 coat_lite_tiny 93.240 6.760 98.260 1.740 5.72 224 0.900 bicubic
288 efficientnet_es 93.140 6.860 98.420 1.580 5.44 224 0.875 bicubic
289 dla60x 93.120 6.880 98.510 1.490 17.35 224 0.875 bilinear
290 regnetx_032 93.120 6.880 98.390 1.610 15.30 224 0.875 bicubic
pit_xs_224 93.110 6.890 98.310 1.690 10.62 224 0.900 bicubic
291 tf_efficientnetv2_b0 93.110 6.890 98.390 1.610 7.14 224 0.875 bicubic
292 pit_xs_224 93.110 6.890 98.310 1.690 10.62 224 0.900 bicubic
293 dla102 93.060 6.940 98.540 1.460 33.27 224 0.875 bilinear
294 gluon_resnet50_v1c 93.030 6.970 98.390 1.610 25.58 224 0.875 bicubic
295 regnety_016 93.030 6.970 98.360 1.640 11.20 224 0.875 bicubic
302 adv_inception_v3 92.880 7.120 98.140 1.860 23.83 299 0.875 bicubic
303 res2next50 92.840 7.160 98.180 1.820 24.67 224 0.875 bilinear
304 tf_efficientnet_cc_b0_8e 92.830 7.170 98.180 1.820 24.01 224 0.875 bicubic
305 resmlp_12_distilled_224 92.830 7.170 98.140 1.860 15.35 224 0.875 bicubic
306 gmixer_24_224 92.830 7.170 97.880 2.120 24.72 224 0.875 bicubic
307 seresnext26t_32x4d 92.820 7.180 98.370 1.630 16.81 224 0.875 bicubic
308 tv_resnet101 92.810 7.190 98.250 1.750 44.55 224 0.875 bilinear
309 efficientnet_b1_pruned 92.770 7.230 98.040 1.960 6.33 240 0.882 bicubic
vit_small_patch16_224 92.760 7.240 97.930 2.070 48.75 224 0.900 bicubic
310 densenet201 92.750 7.250 98.230 1.770 20.01 224 0.875 bicubic
311 res2net50_14w_8s 92.740 7.260 98.180 1.820 25.06 224 0.875 bilinear
312 tv_resnext50_32x4d 92.740 7.260 98.270 1.730 25.03 224 0.875 bilinear
334 mobilenetv3_large_100_miil 92.260 7.740 97.640 2.360 5.48 224 0.875 bilinear
335 tf_efficientnet_b0 92.250 7.750 98.000 2.000 5.29 224 0.875 bicubic
336 dla60 92.230 7.770 98.110 1.890 22.04 224 0.875 bilinear
337 resmlp_12_224 92.210 7.790 98.160 1.840 15.35 224 0.875 bicubic
338 tf_efficientnet_b0_ap 92.200 7.800 98.020 1.980 5.29 224 0.875 bicubic
339 regnetx_016 92.170 7.830 98.210 1.790 9.19 224 0.875 bicubic
340 gernet_s 92.140 7.860 98.190 1.810 8.17 224 0.875 bilinear
341 resnet26d 92.070 7.930 97.960 2.040 16.01 224 0.875 bicubic
342 vit_small_patch32_224 92.040 7.960 98.230 1.770 22.88 224 0.900 bicubic
343 vit_tiny_r_s16_p8_384 92.040 7.960 98.290 1.710 6.36 384 1.000 bicubic
344 hardcorenas_c 92.020 7.980 97.840 2.160 5.52 224 0.875 bilinear
345 dpn68 92.010 7.990 98.050 1.950 12.61 224 0.875 bicubic
346 tf_efficientnet_es 91.980 8.020 97.860 2.140 5.44 224 0.875 bicubic
353 mixnet_s 91.830 8.170 97.690 2.310 4.13 224 0.875 bicubic
354 mobilenetv2_140 91.830 8.170 97.860 2.140 6.11 224 0.875 bicubic
355 hardcorenas_b 91.770 8.230 97.780 2.220 5.18 224 0.875 bilinear
356 vit_tiny_patch16_224 91.760 8.240 98.040 1.960 5.72 224 0.900 bicubic
357 regnety_008 91.750 8.250 98.180 1.820 6.26 224 0.875 bicubic
358 resnest14d 91.720 8.280 97.870 2.130 10.61 224 0.875 bilinear
359 densenet121 91.570 8.430 98.030 1.970 7.98 224 0.875 bicubic
378 legacy_seresnet34 90.890 9.110 97.580 2.420 21.96 224 0.875 bilinear
379 tv_densenet121 90.890 9.110 97.710 2.290 7.98 224 0.875 bicubic
380 dla34 90.760 9.240 97.660 2.340 15.74 224 0.875 bilinear
381 deit_tiny_distilled_patch16_224 90.700 9.300 97.570 2.430 5.91 224 0.900 bicubic
382 fbnetc_100 90.700 9.300 97.210 2.790 5.57 224 0.875 bilinear
vit_deit_tiny_distilled_patch16_224 90.700 9.300 97.570 2.430 5.91 224 0.900 bicubic
383 swsl_resnet18 90.690 9.310 97.700 2.300 11.69 224 0.875 bilinear
384 convit_tiny 90.630 9.370 97.740 2.260 5.71 224 0.875 bicubic
385 mnasnet_100 90.510 9.490 97.470 2.530 4.38 224 0.875 bicubic
393 pit_ti_224 89.940 10.060 97.450 2.550 4.85 224 0.900 bicubic
394 tv_resnet34 89.940 10.060 97.340 2.660 21.80 224 0.875 bilinear
395 tf_mobilenetv3_large_075 89.680 10.320 97.210 2.790 3.99 224 0.875 bilinear
396 vit_deit_tiny_patch16_224 deit_tiny_patch16_224 89.670 10.330 97.450 2.550 5.72 224 0.900 bicubic
397 skresnet18 89.660 10.340 97.230 2.770 11.96 224 0.875 bicubic
398 mobilenetv2_100 89.600 10.400 97.140 2.860 3.50 224 0.875 bicubic
399 resnet18d 89.280 10.720 97.150 2.850 11.71 224 0.875 bicubic
400 vit_tiny_r_s16_p8_224 89.170 10.830 97.230 2.770 6.34 224 0.900 bicubic
401 hrnet_w18_small 89.050 10.950 97.110 2.890 13.19 224 0.875 bilinear
402 vgg19 89.040 10.960 96.870 3.130 143.67 224 0.875 bilinear
403 tf_mobilenetv3_large_minimal_100 88.970 11.030 96.860 3.140 3.92 224 0.875 bilinear

@ -1,386 +1,412 @@
model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation,top1_diff,top5_diff,rank_diff
tf_efficientnet_l2_ns,84.760,15.240,96.147,3.853,480.31,800,0.960,bicubic,-13.790,-3.673,0
tf_efficientnet_l2_ns_475,83.373,16.627,95.453,4.547,480.31,475,0.936,bicubic,-15.127,-4.377,0
vit_large_patch16_384,71.227,28.773,89.840,10.160,304.72,384,1.000,bicubic,-26.993,-9.960,0
swin_large_patch4_window12_384,69.627,30.373,89.560,10.440,196.74,384,1.000,bicubic,-28.413,-10.130,0
tf_efficientnet_b7_ns,67.040,32.960,88.667,11.333,66.35,600,0.949,bicubic,-30.870,-11.053,0
tf_efficientnetv2_l_in21ft1k,66.333,33.667,87.853,12.147,118.52,480,1.000,bicubic,-31.367,-11.817,+2
tf_efficientnetv2_l_in21ft1k,66.333,33.667,87.853,12.147,118.52,480,1.000,bicubic,-31.367,-11.817,+3
swin_base_patch4_window12_384,64.480,35.520,87.493,12.507,87.90,384,1.000,bicubic,-33.410,-12.217,-1
cait_m48_448,62.373,37.627,86.453,13.547,356.46,448,1.000,bicubic,-35.107,-13.097,+8
tf_efficientnet_b6_ns,62.267,37.733,85.173,14.827,43.04,528,0.942,bicubic,-35.363,-14.407,+1
dm_nfnet_f6,62.253,37.747,84.667,15.333,438.36,576,0.956,bicubic,-35.477,-14.913,-3
dm_nfnet_f5,61.587,38.413,84.027,15.973,377.21,544,0.954,bicubic,-36.013,-15.523,+1
tf_efficientnetv2_m_in21ft1k,61.387,38.613,85.413,14.587,54.14,480,1.000,bicubic,-36.093,-14.117,+5
ig_resnext101_32x48d,61.013,38.987,83.347,16.653,828.41,224,0.875,bilinear,-36.607,-16.353,-2
swin_large_patch4_window7_224,60.893,39.107,85.840,14.160,196.53,224,0.900,bicubic,-36.757,-13.740,-5
resnetv2_152x4_bitm,60.733,39.267,83.600,16.400,936.53,480,1.000,bilinear,-36.757,-16.000,0
dm_nfnet_f4,60.720,39.280,83.427,16.573,316.07,512,0.951,bicubic,-36.850,-16.093,-3
tf_efficientnet_b5_ns,60.320,39.680,84.493,15.507,30.39,456,0.934,bicubic,-37.180,-15.137,-3
dm_nfnet_f3,58.373,41.627,82.360,17.640,254.92,416,0.940,bicubic,-38.987,-17.220,+1
ig_resnext101_32x32d,58.093,41.907,80.653,19.347,468.53,224,0.875,bilinear,-39.267,-19.027,+1
cait_m36_384,57.840,42.160,84.813,15.187,271.22,384,1.000,bicubic,-39.560,-14.697,-2
resnetv2_152x2_bitm,54.973,45.027,82.813,17.187,236.34,480,1.000,bilinear,-42.177,-16.777,+7
vit_base_r50_s16_384,54.627,45.373,81.213,18.787,98.95,384,1.000,bicubic,-42.553,-18.347,+5
cait_s36_384,54.413,45.587,81.360,18.640,68.37,384,1.000,bicubic,-42.917,-18.170,-2
vit_large_patch16_384,53.867,46.133,80.320,19.680,304.72,384,1.000,bicubic,-43.243,-19.320,+7
resnetv2_101x3_bitm,53.813,46.187,81.093,18.907,387.93,480,1.000,bilinear,-43.237,-18.427,+10
tf_efficientnetv2_l,53.187,46.813,79.133,20.867,118.52,480,1.000,bicubic,-44.093,-20.417,-4
ig_resnext101_32x16d,53.067,46.933,76.907,23.093,194.03,224,0.875,bilinear,-43.753,-22.683,+16
swin_base_patch4_window7_224,51.453,48.547,79.973,20.027,87.77,224,0.900,bicubic,-45.797,-19.557,-5
tf_efficientnet_b4_ns,51.213,48.787,79.187,20.813,19.34,380,0.922,bicubic,-45.737,-20.393,+11
swsl_resnext101_32x8d,51.187,48.813,78.240,21.760,88.79,224,0.875,bilinear,-46.013,-21.260,-4
dm_nfnet_f2,50.773,49.227,78.013,21.987,193.78,352,0.920,bicubic,-46.187,-21.437,+7
vit_base_patch16_384,50.613,49.387,78.200,21.800,86.86,384,1.000,bicubic,-46.087,-21.070,+17
cait_s24_384,49.733,50.267,78.733,21.267,47.06,384,1.000,bicubic,-47.337,-20.697,+1
vit_deit_base_distilled_patch16_384,49.333,50.667,79.253,20.747,87.63,384,1.000,bicubic,-47.627,-20.227,+5
tf_efficientnet_b8,48.947,51.053,77.240,22.760,87.41,672,0.954,bicubic,-48.253,-22.330,-11
tf_efficientnetv2_s_in21ft1k,48.507,51.493,77.880,22.120,21.46,384,1.000,bicubic,-48.223,-21.540,+11
resnest269e,48.187,51.813,74.333,25.667,110.93,416,0.928,bicubic,-48.333,-25.017,+24
resnetv2_50x3_bitm,47.787,52.213,77.627,22.373,217.32,480,1.000,bilinear,-48.983,-21.803,+6
vit_base_patch16_384,63.693,36.307,86.707,13.293,86.86,384,1.000,bicubic,-34.147,-12.963,0
cait_m48_448,62.373,37.627,86.453,13.547,356.46,448,1.000,bicubic,-35.107,-13.097,+10
tf_efficientnet_b6_ns,62.267,37.733,85.173,14.827,43.04,528,0.942,bicubic,-35.363,-14.407,+2
vit_large_r50_s32_384,61.507,38.493,83.960,16.040,329.09,384,1.000,bicubic,-36.353,-15.710,-4
tf_efficientnetv2_m_in21ft1k,61.387,38.613,85.413,14.587,54.14,480,1.000,bicubic,-36.093,-14.117,+8
ig_resnext101_32x48d,61.013,38.987,83.347,16.653,828.41,224,0.875,bilinear,-36.607,-16.353,0
swin_large_patch4_window7_224,60.893,39.107,85.840,14.160,196.53,224,0.900,bicubic,-36.757,-13.740,-4
resnetv2_152x4_bitm,60.787,39.213,83.573,16.427,936.53,480,1.000,bilinear,-36.703,-16.037,+3
tf_efficientnet_b5_ns,60.320,39.680,84.493,15.507,30.39,456,0.934,bicubic,-37.180,-15.137,+1
dm_nfnet_f6,59.160,40.840,82.333,17.667,438.36,576,0.956,bicubic,-38.440,-17.217,-3
dm_nfnet_f5,58.573,41.427,82.773,17.227,377.21,544,0.954,bicubic,-38.967,-16.797,-2
dm_nfnet_f4,58.120,41.880,81.987,18.013,316.07,512,0.951,bicubic,-39.460,-17.523,-4
ig_resnext101_32x32d,58.093,41.907,80.653,19.347,468.53,224,0.875,bilinear,-39.267,-19.027,+2
cait_m36_384,57.840,42.160,84.813,15.187,271.22,384,1.000,bicubic,-39.560,-14.697,0
dm_nfnet_f3,55.827,44.173,80.947,19.053,254.92,416,0.940,bicubic,-41.523,-18.613,+1
vit_large_patch16_224,55.627,44.373,80.093,19.907,304.33,224,0.900,bicubic,-42.013,-19.497,-12
vit_base_r50_s16_384,54.627,45.373,81.213,18.787,98.95,384,1.000,bicubic,-42.553,-18.347,+6
cait_s36_384,54.413,45.587,81.360,18.640,68.37,384,1.000,bicubic,-42.917,-18.170,-1
resnetv2_101x3_bitm,54.027,45.973,81.027,18.973,387.93,448,1.000,bilinear,-42.963,-18.463,+14
resnetv2_152x2_bitm,54.013,45.987,82.000,18.000,236.34,448,1.000,bilinear,-42.997,-17.590,+11
tf_efficientnetv2_l,53.187,46.813,79.133,20.867,118.52,480,1.000,bicubic,-44.093,-20.417,-3
ig_resnext101_32x16d,53.067,46.933,76.907,23.093,194.03,224,0.875,bilinear,-43.753,-22.683,+19
swin_base_patch4_window7_224,51.453,48.547,79.973,20.027,87.77,224,0.900,bicubic,-45.797,-19.557,-4
tf_efficientnet_b4_ns,51.213,48.787,79.187,20.813,19.34,380,0.922,bicubic,-45.737,-20.393,+12
resnetv2_152x2_bit_teacher_384,51.187,48.813,78.493,21.507,236.34,384,1.000,bicubic,-45.643,-20.957,+15
swsl_resnext101_32x8d,51.187,48.813,78.240,21.760,88.79,224,0.875,bilinear,-46.013,-21.300,-5
cait_s24_384,49.733,50.267,78.733,21.267,47.06,384,1.000,bicubic,-47.337,-20.697,+2
deit_base_distilled_patch16_384,49.333,50.667,79.253,20.747,87.63,384,1.000,bicubic,-47.627,-20.227,+7
tf_efficientnet_b8,48.947,51.053,77.240,22.760,87.41,672,0.954,bicubic,-48.253,-22.330,-9
dm_nfnet_f2,48.920,51.080,77.160,22.840,193.78,352,0.920,bicubic,-48.100,-22.280,0
tf_efficientnetv2_s_in21ft1k,48.507,51.493,77.880,22.120,21.46,384,1.000,bicubic,-48.223,-21.540,+14
resnest269e,48.187,51.813,74.333,25.667,110.93,416,0.928,bicubic,-48.333,-25.017,+30
resnetv2_50x3_bitm,47.293,52.707,77.333,22.667,217.32,448,1.000,bilinear,-49.417,-22.217,+14
tf_efficientnet_b8_ap,46.893,53.107,76.507,23.493,87.41,672,0.954,bicubic,-50.217,-23.153,-9
dm_nfnet_f1,46.600,53.400,74.773,25.227,132.63,320,0.910,bicubic,-50.320,-24.617,+1
efficientnetv2_rw_m,46.280,53.720,75.707,24.293,53.24,416,1.000,bicubic,-50.700,-23.833,-4
swsl_resnext101_32x16d,46.200,53.800,72.200,27.800,194.03,224,0.875,bilinear,-50.400,-27.320,+14
efficientnetv2_rw_m,46.280,53.720,75.707,24.293,53.24,416,1.000,bicubic,-50.700,-23.833,-1
swsl_resnext101_32x16d,46.200,53.800,72.200,27.800,194.03,224,0.875,bilinear,-50.400,-27.320,+21
vit_small_patch16_384,45.933,54.067,76.720,23.280,22.20,384,1.000,bicubic,-50.767,-22.760,+12
ecaresnet269d,45.893,54.107,75.133,24.867,102.09,352,1.000,bicubic,-51.187,-24.337,-11
tf_efficientnetv2_m,45.533,54.467,74.533,25.467,54.14,480,1.000,bicubic,-51.607,-24.877,-15
tf_efficientnet_b7_ap,45.373,54.627,74.213,25.787,66.35,600,0.949,bicubic,-51.827,-25.327,-20
ig_resnext101_32x8d,45.320,54.680,70.867,29.133,88.79,224,0.875,bilinear,-51.000,-28.563,+24
resnest200e,44.147,55.853,73.467,26.533,70.20,320,0.909,bicubic,-52.463,-25.883,+8
cait_xs24_384,43.947,56.053,75.187,24.813,26.67,384,1.000,bicubic,-52.603,-24.233,+10
tresnet_xl_448,43.480,56.520,72.453,27.547,78.44,448,0.875,bilinear,-52.490,-26.677,+34
resnetrs420,43.147,56.853,70.453,29.547,191.89,416,1.000,bicubic,-53.763,-29.007,-8
tf_efficientnet_b7,42.960,57.040,73.133,26.867,66.35,600,0.949,bicubic,-54.050,-26.387,-15
swsl_resnext101_32x4d,41.560,58.440,71.760,28.240,44.18,224,0.875,bilinear,-54.860,-27.710,+11
tf_efficientnet_b6_ap,40.800,59.200,71.627,28.373,43.04,528,0.942,bicubic,-56.280,-27.993,-20
tresnet_l_448,40.200,59.800,69.893,30.107,55.99,448,0.875,bilinear,-55.660,-29.227,+37
vit_deit_base_patch16_384,40.173,59.827,70.760,29.240,86.86,384,1.000,bicubic,-55.977,-28.380,+22
resnetrs350,39.960,60.040,68.907,31.093,163.96,384,1.000,bicubic,-56.800,-30.463,-10
resnetv2_101x1_bitm,39.307,60.693,71.493,28.507,44.54,480,1.000,bilinear,-56.783,-27.807,+23
vit_large_patch32_384,38.933,61.067,68.920,31.080,306.63,384,1.000,bicubic,-56.897,-30.230,+35
resnet200d,38.147,61.853,68.613,31.387,64.69,320,1.000,bicubic,-58.573,-30.717,-11
eca_nfnet_l1,38.107,61.893,71.293,28.707,41.41,320,1.000,bicubic,-58.593,-28.217,-10
seresnet152d,37.640,62.360,69.480,30.520,66.84,320,1.000,bicubic,-59.130,-29.970,-16
twins_svt_large,37.200,62.800,69.227,30.773,99.27,224,0.900,bicubic,-59.070,-29.943,+10
efficientnetv2_rw_s,36.787,63.213,68.320,31.680,23.94,384,1.000,bicubic,-59.753,-31.040,-4
regnety_160,36.747,63.253,69.107,30.893,83.59,288,1.000,bicubic,-59.603,-30.223,+3
cait_xxs36_384,36.227,63.773,67.800,32.200,17.37,384,1.000,bicubic,-59.623,-31.290,+27
pit_b_distilled_224,35.627,64.373,69.120,30.880,74.79,224,0.900,bicubic,-61.053,-30.230,-14
tf_efficientnet_b3_ns,35.520,64.480,67.773,32.227,12.23,300,0.904,bicubic,-60.870,-31.577,-3
vit_large_patch16_224,35.493,64.507,64.427,35.573,304.33,224,0.900,bicubic,-60.457,-34.813,+16
tf_efficientnet_b6,35.213,64.787,67.720,32.280,43.04,528,0.942,bicubic,-61.457,-31.650,-15
resnetrs270,35.013,64.987,65.480,34.520,129.86,352,1.000,bicubic,-61.677,-33.870,-19
tf_efficientnet_b5_ap,34.787,65.213,67.493,32.507,30.39,456,0.934,bicubic,-61.893,-31.967,-18
vit_base_patch16_224_miil,34.507,65.493,65.000,35.000,86.54,224,0.875,bilinear,-61.953,-34.300,-10
resnet152d,34.320,65.680,65.907,34.093,60.21,320,1.000,bicubic,-62.040,-33.483,-7
tresnet_m_448,34.107,65.893,64.493,35.507,31.39,448,0.875,bilinear,-60.883,-34.487,+64
vit_base_patch32_384,33.613,66.387,65.240,34.760,88.30,384,1.000,bicubic,-62.197,-33.910,+19
twins_pcpvt_large,33.387,66.613,67.933,32.067,60.99,224,0.900,bicubic,-62.763,-31.247,0
pit_b_224,33.173,66.827,62.320,37.680,73.76,224,0.900,bicubic,-62.467,-36.340,+25
twins_svt_base,33.173,66.827,65.773,34.227,56.07,224,0.900,bicubic,-62.987,-33.507,-5
swsl_resnext50_32x4d,33.013,66.987,65.067,34.933,25.03,224,0.875,bilinear,-62.857,-34.183,+9
ssl_resnext101_32x16d,32.600,67.400,64.000,36.000,194.03,224,0.875,bilinear,-63.200,-35.180,+15
swin_small_patch4_window7_224,32.600,67.400,65.440,34.560,49.61,224,0.900,bicubic,-63.310,-33.580,+5
vit_base_patch16_224,32.053,67.947,61.573,38.427,86.57,224,0.900,bicubic,-63.277,-37.427,+33
tf_efficientnet_b5,31.840,68.160,65.293,34.707,30.39,456,0.934,bicubic,-64.510,-34.017,-15
resnest101e,31.413,68.587,64.360,35.640,48.28,256,0.875,bilinear,-64.447,-34.850,+5
dm_nfnet_f0,31.280,68.720,63.347,36.653,71.49,256,0.900,bicubic,-64.860,-35.893,-7
cait_s24_224,31.200,68.800,64.560,35.440,46.92,224,1.000,bicubic,-65.180,-34.590,-21
efficientnet_b4,30.867,69.133,64.600,35.400,19.34,384,1.000,bicubic,-65.283,-34.600,-12
resnetrs200,30.773,69.227,63.320,36.680,93.21,320,1.000,bicubic,-65.757,-36.030,-28
cait_xxs24_384,30.027,69.973,63.933,36.067,12.03,384,1.000,bicubic,-65.233,-35.027,+30
twins_pcpvt_base,29.960,70.040,64.587,35.413,43.83,224,0.900,bicubic,-65.830,-34.543,+6
swsl_resnet50,29.867,70.133,63.853,36.147,25.56,224,0.875,bilinear,-65.543,-35.437,+23
vit_deit_base_distilled_patch16_224,29.600,70.400,64.453,35.547,87.34,224,0.900,bicubic,-66.490,-34.737,-11
convit_base,29.520,70.480,61.787,38.213,86.54,224,0.875,bicubic,-66.030,-37.083,+10
ssl_resnext101_32x8d,29.040,70.960,60.973,39.027,88.79,224,0.875,bilinear,-66.430,-38.137,+15
tf_efficientnetv2_s,29.040,70.960,61.213,38.787,21.46,384,1.000,bicubic,-67.300,-37.987,-26
resnet101d,28.987,71.013,62.053,37.947,44.57,320,1.000,bicubic,-67.303,-37.177,-25
vit_small_r26_s32_384,45.720,54.280,76.067,23.933,36.47,384,1.000,bicubic,-50.960,-23.503,+14
tf_efficientnetv2_m,45.533,54.467,74.533,25.467,54.14,480,1.000,bicubic,-51.607,-24.877,-16
tf_efficientnet_b7_ap,45.373,54.627,74.213,25.787,66.35,600,0.949,bicubic,-51.827,-25.287,-19
dm_nfnet_f1,45.333,54.667,74.107,25.893,132.63,320,0.910,bicubic,-51.587,-25.303,-5
ig_resnext101_32x8d,45.320,54.680,70.867,29.133,88.79,224,0.875,bilinear,-51.000,-28.563,+30
eca_nfnet_l2,44.960,55.040,75.893,24.107,56.72,384,1.000,bicubic,-52.130,-23.617,-18
resnest200e,44.147,55.853,73.467,26.533,70.20,320,0.909,bicubic,-52.463,-25.883,+11
cait_xs24_384,43.947,56.053,75.187,24.813,26.67,384,1.000,bicubic,-52.603,-24.233,+13
tresnet_xl_448,43.480,56.520,72.453,27.547,78.44,448,0.875,bilinear,-52.490,-26.677,+41
vit_base_patch16_224,43.240,56.760,72.920,27.080,86.57,224,0.900,bicubic,-53.640,-26.610,-9
resnetrs420,43.147,56.853,70.453,29.547,191.89,416,1.000,bicubic,-53.763,-29.007,-11
tf_efficientnet_b7,42.960,57.040,73.133,26.867,66.35,600,0.949,bicubic,-54.050,-26.387,-18
vit_large_r50_s32_224,41.640,58.360,70.227,29.773,328.99,224,0.900,bicubic,-55.150,-29.123,-9
swsl_resnext101_32x4d,41.560,58.440,71.760,28.240,44.18,224,0.875,bilinear,-54.860,-27.710,+14
tf_efficientnet_b6_ap,40.800,59.200,71.627,28.373,43.04,528,0.942,bicubic,-56.280,-27.993,-25
resmlp_big_24_224_in22ft1k,40.373,59.627,74.760,25.240,129.14,224,0.875,bicubic,-56.247,-24.750,+1
tresnet_l_448,40.200,59.800,69.893,30.107,55.99,448,0.875,bilinear,-55.660,-29.227,+40
deit_base_patch16_384,40.173,59.827,70.760,29.240,86.86,384,1.000,bicubic,-55.977,-28.380,+22
resnetrs350,39.960,60.040,68.907,31.093,163.96,384,1.000,bicubic,-56.800,-30.463,-13
vit_large_patch32_384,38.933,61.067,68.920,31.080,306.63,384,1.000,bicubic,-56.897,-30.230,+39
resnetv2_101x1_bitm,38.920,61.080,71.040,28.960,44.54,448,1.000,bilinear,-57.180,-28.240,+26
resnet200d,38.147,61.853,68.613,31.387,64.69,320,1.000,bicubic,-58.573,-30.717,-14
seresnet152d,37.640,62.360,69.480,30.520,66.84,320,1.000,bicubic,-59.130,-29.970,-18
eca_nfnet_l1,37.533,62.467,70.947,29.053,41.41,320,1.000,bicubic,-59.167,-28.343,-14
twins_svt_large,37.200,62.800,69.227,30.773,99.27,224,0.900,bicubic,-59.070,-29.943,+12
vit_base_patch32_384,37.080,62.920,69.760,30.240,88.30,384,1.000,bicubic,-59.410,-29.650,-1
efficientnetv2_rw_s,36.787,63.213,68.320,31.680,23.94,384,1.000,bicubic,-59.753,-31.040,-5
regnety_160,36.747,63.253,69.107,30.893,83.59,288,1.000,bicubic,-59.603,-30.223,+4
cait_xxs36_384,36.227,63.773,67.800,32.200,17.37,384,1.000,bicubic,-59.623,-31.290,+29
pit_b_distilled_224,35.627,64.373,69.120,30.880,74.79,224,0.900,bicubic,-61.053,-30.230,-17
tf_efficientnet_b3_ns,35.520,64.480,67.773,32.227,12.23,300,0.904,bicubic,-60.870,-31.577,-2
tf_efficientnet_b6,35.213,64.787,67.720,32.280,43.04,528,0.942,bicubic,-61.457,-31.650,-16
resnetrs270,35.013,64.987,65.480,34.520,129.86,352,1.000,bicubic,-61.677,-33.870,-21
tf_efficientnet_b5_ap,34.787,65.213,67.493,32.507,30.39,456,0.934,bicubic,-61.893,-31.967,-20
vit_base_patch16_224_miil,34.507,65.493,65.000,35.000,86.54,224,0.875,bilinear,-61.953,-34.300,-9
resnet152d,34.320,65.680,65.907,34.093,60.21,320,1.000,bicubic,-62.040,-33.483,-5
tresnet_m_448,34.107,65.893,64.493,35.507,31.39,448,0.875,bilinear,-60.883,-34.487,+69
resmlp_big_24_distilled_224,34.067,65.933,69.600,30.400,129.14,224,0.875,bicubic,-62.383,-29.710,-11
twins_pcpvt_large,33.387,66.613,67.933,32.067,60.99,224,0.900,bicubic,-62.763,-31.247,+4
pit_b_224,33.173,66.827,62.320,37.680,73.76,224,0.900,bicubic,-62.467,-36.340,+27
twins_svt_base,33.173,66.827,65.773,34.227,56.07,224,0.900,bicubic,-62.987,-33.287,-2
resnetv2_152x2_bit_teacher,33.053,66.947,64.267,35.733,236.34,224,0.875,bicubic,-63.047,-35.013,+4
swsl_resnext50_32x4d,33.013,66.987,65.067,34.933,25.03,224,0.875,bilinear,-62.857,-34.183,+11
ssl_resnext101_32x16d,32.600,67.400,64.000,36.000,194.03,224,0.875,bilinear,-63.200,-35.180,+16
swin_small_patch4_window7_224,32.600,67.400,65.440,34.560,49.61,224,0.900,bicubic,-63.310,-33.580,+7
tf_efficientnet_b5,31.840,68.160,65.293,34.707,30.39,456,0.934,bicubic,-64.510,-34.017,-13
resnest101e,31.413,68.587,64.360,35.640,48.28,256,0.875,bilinear,-64.447,-34.850,+8
cait_s24_224,31.200,68.800,64.560,35.440,46.92,224,1.000,bicubic,-65.180,-34.590,-18
efficientnet_b4,30.867,69.133,64.600,35.400,19.34,384,1.000,bicubic,-65.283,-34.600,-7
resnetrs200,30.773,69.227,63.320,36.680,93.21,320,1.000,bicubic,-65.757,-36.030,-27
dm_nfnet_f0,30.547,69.453,62.867,37.133,71.49,256,0.900,bicubic,-65.603,-36.383,-10
cait_xxs24_384,30.027,69.973,63.933,36.067,12.03,384,1.000,bicubic,-65.233,-35.027,+33
twins_pcpvt_base,29.960,70.040,64.587,35.413,43.83,224,0.900,bicubic,-65.830,-34.543,+8
swsl_resnet50,29.867,70.133,63.853,36.147,25.56,224,0.875,bilinear,-65.543,-35.437,+26
deit_base_distilled_patch16_224,29.600,70.400,64.453,35.547,87.34,224,0.900,bicubic,-66.490,-34.737,-7
convit_base,29.520,70.480,61.787,38.213,86.54,224,0.875,bicubic,-66.030,-37.083,+13
ssl_resnext101_32x8d,29.040,70.960,60.973,39.027,88.79,224,0.875,bilinear,-66.430,-38.137,+18
tf_efficientnetv2_s,29.040,70.960,61.213,38.787,21.46,384,1.000,bicubic,-67.300,-37.987,-24
resnet101d,28.987,71.013,62.053,37.947,44.57,320,1.000,bicubic,-67.303,-37.177,-23
resnetrs152,28.920,71.080,60.520,39.480,86.62,320,1.000,bicubic,-67.660,-38.720,-40
coat_lite_small,27.547,72.453,58.547,41.453,19.84,224,0.900,bicubic,-67.993,-40.313,+6
vit_deit_base_patch16_224,27.440,72.560,58.893,41.107,86.57,224,0.900,bicubic,-68.000,-40.157,+12
resnetv2_50x1_bitm,27.347,72.653,63.547,36.453,25.55,480,1.000,bilinear,-67.703,-35.613,+32
nfnet_l0,26.493,73.507,61.987,38.013,35.07,288,1.000,bicubic,-69.597,-37.273,-22
tf_efficientnet_b4,26.293,73.707,60.107,39.893,19.34,380,0.922,bicubic,-69.607,-39.063,-15
tf_efficientnet_b4_ap,26.240,73.760,60.227,39.773,19.34,380,0.922,bicubic,-69.920,-38.833,-29
regnety_032,26.213,73.787,60.987,39.013,19.44,288,1.000,bicubic,-69.757,-38.203,-22
ecaresnet50t,26.133,73.867,60.027,39.973,25.57,320,0.950,bicubic,-69.377,-39.093,+2
ecaresnet101d,26.027,73.973,58.987,41.013,44.57,224,0.875,bicubic,-69.503,-40.143,-1
visformer_small,25.840,74.160,58.907,41.093,40.22,224,0.900,bicubic,-69.650,-39.993,+1
coat_mini,25.520,74.480,57.693,42.307,10.34,224,0.900,bicubic,-69.450,-41.087,+31
convit_small,25.093,74.907,57.280,42.720,27.78,224,0.875,bicubic,-70.107,-41.620,+13
eca_nfnet_l0,25.013,74.987,60.360,39.640,24.14,288,1.000,bicubic,-70.917,-38.850,-25
tnt_s_patch16_224,24.733,75.267,58.187,41.813,23.76,224,0.900,bicubic,-70.307,-40.643,+24
ssl_resnext101_32x4d,24.173,75.827,57.413,42.587,44.18,224,0.875,bilinear,-71.267,-41.427,0
twins_svt_small,24.133,75.867,57.147,42.853,24.06,224,0.900,bicubic,-71.067,-41.733,+10
tf_efficientnet_b2_ns,24.013,75.987,57.293,42.707,9.11,260,0.890,bicubic,-71.757,-41.827,-17
nasnetalarge,23.493,76.507,55.027,44.973,88.75,331,0.911,bicubic,-72.187,-43.903,-14
levit_384,23.440,76.560,56.387,43.613,39.13,224,0.900,bicubic,-72.090,-42.663,-10
pnasnet5large,23.333,76.667,53.640,46.360,86.06,331,0.911,bicubic,-72.377,-45.400,-18
efficientnet_b3,23.213,76.787,55.960,44.040,12.23,320,1.000,bicubic,-72.497,-42.960,-18
twins_pcpvt_small,22.720,77.280,56.853,43.147,24.11,224,0.900,bicubic,-72.490,-42.027,+2
pit_s_distilled_224,22.360,77.640,57.120,42.880,24.04,224,0.900,bicubic,-72.880,-41.930,0
tresnet_m,21.680,78.320,53.840,46.160,31.39,224,0.875,bilinear,-74.040,-45.190,-23
swin_tiny_patch4_window7_224,21.173,78.827,55.973,44.027,28.29,224,0.900,bicubic,-73.967,-42.877,+4
coat_lite_small,27.547,72.453,58.547,41.453,19.84,224,0.900,bicubic,-67.993,-40.313,+9
deit_base_patch16_224,27.440,72.560,58.893,41.107,86.57,224,0.900,bicubic,-68.000,-39.947,+14
resnetv2_50x1_bitm,27.293,72.707,62.853,37.147,25.55,448,1.000,bilinear,-67.717,-36.207,+40
vit_small_patch16_224,27.053,72.947,59.213,40.787,22.05,224,0.900,bicubic,-68.317,-39.937,+17
tf_efficientnet_b4,26.293,73.707,60.107,39.893,19.34,380,0.922,bicubic,-69.607,-39.063,-12
tf_efficientnet_b4_ap,26.240,73.760,60.227,39.773,19.34,380,0.922,bicubic,-69.920,-39.053,-28
nfnet_l0,26.213,73.787,61.720,38.280,35.07,288,1.000,bicubic,-69.907,-37.520,-22
regnety_032,26.213,73.787,60.987,39.013,19.44,288,1.000,bicubic,-69.757,-38.203,-19
ecaresnet50t,26.133,73.867,60.027,39.973,25.57,320,0.950,bicubic,-69.377,-39.093,+4
ecaresnet101d,26.027,73.973,58.987,41.013,44.57,224,0.875,bicubic,-69.503,-40.143,+1
visformer_small,25.840,74.160,58.907,41.093,40.22,224,0.900,bicubic,-69.650,-39.993,+3
coat_mini,25.520,74.480,57.693,42.307,10.34,224,0.900,bicubic,-69.450,-41.087,+35
resnetv2_50x1_bit_distilled,25.107,74.893,59.613,40.387,25.55,224,0.875,bicubic,-71.023,-39.667,-29
convit_small,25.093,74.907,57.280,42.720,27.78,224,0.875,bicubic,-70.107,-41.620,+14
eca_nfnet_l0,24.827,75.173,60.093,39.907,24.14,288,1.000,bicubic,-71.123,-39.117,-24
tnt_s_patch16_224,24.733,75.267,58.187,41.813,23.76,224,0.900,bicubic,-70.307,-40.693,+24
ssl_resnext101_32x4d,24.173,75.827,57.413,42.587,44.18,224,0.875,bilinear,-71.267,-41.717,0
twins_svt_small,24.133,75.867,57.147,42.853,24.06,224,0.900,bicubic,-71.067,-41.733,+11
vit_small_r26_s32_224,24.080,75.920,56.213,43.787,36.43,224,0.900,bicubic,-71.550,-42.977,-11
tf_efficientnet_b2_ns,24.013,75.987,57.293,42.707,9.11,260,0.890,bicubic,-71.757,-41.827,-18
vit_small_patch32_384,23.773,76.227,57.307,42.693,22.92,384,1.000,bicubic,-71.277,-41.683,+17
nasnetalarge,23.493,76.507,55.027,44.973,88.75,331,0.911,bicubic,-72.187,-43.903,-16
levit_384,23.440,76.560,56.387,43.613,39.13,224,0.900,bicubic,-72.090,-42.663,-11
pnasnet5large,23.333,76.667,53.640,46.360,86.06,331,0.911,bicubic,-72.377,-45.280,-19
efficientnet_b3,23.213,76.787,55.960,44.040,12.23,320,1.000,bicubic,-72.497,-43.080,-21
resmlp_big_24_224,22.853,77.147,54.307,45.693,129.14,224,0.875,bicubic,-71.807,-44.173,+38
twins_pcpvt_small,22.720,77.280,56.853,43.147,24.11,224,0.900,bicubic,-72.490,-42.027,0
vit_base_patch32_224,22.400,77.600,53.933,46.067,88.22,224,0.900,bicubic,-72.600,-45.097,+17
pit_s_distilled_224,22.360,77.640,57.120,42.880,24.04,224,0.900,bicubic,-72.880,-41.930,-3
tresnet_m,21.680,78.320,53.840,46.160,31.39,224,0.875,bilinear,-74.040,-45.190,-27
swin_tiny_patch4_window7_224,21.173,78.827,55.973,44.027,28.29,224,0.900,bicubic,-73.967,-42.877,+1
pit_s_224,21.080,78.920,53.573,46.427,23.46,224,0.900,bicubic,-73.510,-45.137,+37
resnet51q,20.960,79.040,55.720,44.280,35.70,288,1.000,bilinear,-74.900,-43.400,-34
resnetrs101,20.893,79.107,52.813,47.187,63.62,288,0.940,bicubic,-74.537,-46.217,-12
vit_deit_small_distilled_patch16_224,20.707,79.293,55.133,44.867,22.44,224,0.900,bicubic,-74.003,-43.897,+26
resnest50d_4s2x40d,20.387,79.613,52.800,47.200,30.42,224,0.875,bicubic,-74.573,-46.270,+13
resnet51q,20.960,79.040,55.720,44.280,35.70,288,1.000,bilinear,-74.900,-43.400,-37
resnetrs101,20.893,79.107,52.813,47.187,63.62,288,0.940,bicubic,-74.537,-46.217,-15
deit_small_distilled_patch16_224,20.707,79.293,55.133,44.867,22.44,224,0.900,bicubic,-74.003,-43.897,+26
resnest50d_4s2x40d,20.387,79.613,52.800,47.200,30.42,224,0.875,bicubic,-74.573,-46.270,+12
ssl_resnext50_32x4d,20.000,80.000,53.613,46.387,25.03,224,0.875,bilinear,-74.870,-45.267,+18
tresnet_xl,19.640,80.360,53.133,46.867,78.44,224,0.875,bilinear,-75.800,-45.997,-19
gluon_senet154,19.307,80.693,47.533,52.467,115.09,224,0.875,bicubic,-75.613,-51.227,+13
rexnet_200,19.227,80.773,52.720,47.280,16.37,224,0.875,bicubic,-75.713,-46.290,+10
levit_256,19.200,80.800,50.067,49.933,18.89,224,0.900,bicubic,-75.810,-48.843,+5
tresnet_xl,19.640,80.360,53.133,46.867,78.44,224,0.875,bilinear,-75.800,-45.917,-20
gluon_senet154,19.307,80.693,47.533,52.467,115.09,224,0.875,bicubic,-75.613,-51.227,+12
rexnet_200,19.227,80.773,52.720,47.280,16.37,224,0.875,bicubic,-75.713,-46.290,+9
levit_256,19.200,80.800,50.067,49.933,18.89,224,0.900,bicubic,-75.810,-48.823,+1
repvgg_b3,19.107,80.893,50.253,49.747,123.09,224,0.875,bilinear,-75.463,-48.527,+28
legacy_senet154,19.053,80.947,47.947,52.053,115.09,224,0.875,bilinear,-76.017,-50.883,-3
mixer_b16_224_miil,19.053,80.947,51.227,48.773,59.88,224,0.875,bilinear,-76.247,-47.653,-18
vit_deit_small_patch16_224,18.907,81.093,51.413,48.587,22.05,224,0.900,bicubic,-75.493,-47.277,+39
gluon_seresnext101_64x4d,18.907,81.093,49.187,50.813,88.23,224,0.875,bicubic,-76.023,-49.643,+6
tf_efficientnet_b1_ns,18.693,81.307,51.667,48.333,7.79,240,0.882,bicubic,-76.477,-47.443,-14
seresnext50_32x4d,18.360,81.640,50.973,49.027,27.56,224,0.875,bicubic,-76.680,-47.907,-5
cait_xxs36_224,18.253,81.747,49.427,50.573,17.30,224,1.000,bicubic,-76.007,-49.033,+48
ecaresnet50d,18.227,81.773,51.893,48.107,25.58,224,0.875,bicubic,-76.403,-46.997,+14
tf_efficientnet_lite4,18.133,81.867,50.707,49.293,13.01,380,0.920,bilinear,-76.757,-48.313,+3
resnest50d_1s4x24d,17.693,82.307,49.800,50.200,25.68,224,0.875,bicubic,-77.057,-49.180,+6
gluon_seresnext101_32x4d,17.373,82.627,46.373,53.627,48.96,224,0.875,bicubic,-77.547,-52.437,0
resnest50d,17.373,82.627,50.707,49.293,27.48,224,0.875,bilinear,-77.457,-48.173,+2
efficientnet_el,17.347,82.653,49.987,50.013,10.59,300,0.904,bicubic,-77.773,-49.003,-19
inception_v4,17.267,82.733,45.920,54.080,42.68,299,0.875,bicubic,-77.113,-52.660,+30
tf_efficientnet_b3_ap,17.187,82.813,49.680,50.320,12.23,300,0.904,bicubic,-78.133,-49.220,-32
xception71,17.000,83.000,45.520,54.480,42.34,299,0.903,bicubic,-77.280,-53.120,+34
tf_efficientnet_b3,17.000,83.000,49.267,50.733,12.23,300,0.904,bicubic,-78.010,-49.623,-13
gluon_resnext101_64x4d,16.853,83.147,44.213,55.787,83.46,224,0.875,bicubic,-77.817,-54.437,+2
tf_efficientnetv2_b3,16.667,83.333,48.680,51.320,14.36,300,0.904,bicubic,-78.493,-50.140,-27
tresnet_l,16.600,83.400,49.920,50.080,55.99,224,0.875,bilinear,-78.690,-49.090,-35
gluon_resnet152_v1d,16.573,83.427,44.280,55.720,60.21,224,0.875,bicubic,-78.167,-54.460,-4
gluon_resnet152_v1s,16.573,83.427,44.533,55.467,60.32,224,0.875,bicubic,-78.467,-54.397,-22
inception_resnet_v2,16.573,83.427,44.960,55.040,55.84,299,0.897,bicubic,-77.967,-53.830,+7
gluon_xception65,16.440,83.560,46.027,53.973,39.92,299,0.903,bicubic,-77.820,-52.693,+30
gernet_l,16.373,83.627,47.213,52.787,31.08,256,0.875,bilinear,-78.717,-51.687,-30
wide_resnet50_2,16.280,83.720,48.347,51.653,68.88,224,0.875,bicubic,-78.800,-50.623,-29
ens_adv_inception_resnet_v2,16.240,83.760,43.640,56.360,55.84,299,0.897,bicubic,-77.920,-55.000,+39
repvgg_b3g4,16.213,83.787,47.653,52.347,83.83,224,0.875,bilinear,-78.307,-51.317,+5
xception65,16.027,83.973,43.773,56.227,39.92,299,0.903,bicubic,-77.733,-54.597,+65
ssl_resnet50,15.960,84.040,49.467,50.533,25.56,224,0.875,bilinear,-78.490,-49.453,+9
regnety_320,15.627,84.373,44.827,55.173,145.05,224,0.875,bicubic,-78.913,-54.023,0
ecaresnet101d_pruned,15.600,84.400,48.027,51.973,24.88,224,0.875,bicubic,-79.480,-50.953,-36
ecaresnet26t,15.467,84.533,47.920,52.080,16.01,320,0.950,bicubic,-78.843,-50.800,+16
coat_tiny,15.413,84.587,45.600,54.400,5.50,224,0.900,bicubic,-78.177,-52.830,+72
skresnext50_32x4d,15.373,84.627,44.493,55.507,27.48,224,0.875,bicubic,-78.887,-54.077,+18
cait_xxs24_224,15.160,84.840,44.960,55.040,11.96,224,1.000,bicubic,-78.440,-53.480,+69
ecaresnetlight,15.160,84.840,45.827,54.173,30.16,224,0.875,bicubic,-79.610,-52.973,-22
legacy_senet154,19.053,80.947,47.947,52.053,115.09,224,0.875,bilinear,-76.017,-50.883,-6
mixer_b16_224_miil,19.053,80.947,51.227,48.773,59.88,224,0.875,bilinear,-76.247,-47.653,-21
deit_small_patch16_224,18.907,81.093,51.413,48.587,22.05,224,0.900,bicubic,-75.493,-47.277,+41
gluon_seresnext101_64x4d,18.907,81.093,49.187,50.813,88.23,224,0.875,bicubic,-76.023,-49.643,+4
tf_efficientnet_b1_ns,18.693,81.307,51.667,48.333,7.79,240,0.882,bicubic,-76.477,-47.443,-17
seresnext50_32x4d,18.360,81.640,50.973,49.027,27.56,224,0.875,bicubic,-76.680,-47.957,-9
cait_xxs36_224,18.253,81.747,49.427,50.573,17.30,224,1.000,bicubic,-76.007,-49.293,+47
ecaresnet50d,18.227,81.773,51.880,48.120,25.58,224,0.875,bicubic,-76.403,-47.010,+15
tf_efficientnet_lite4,18.133,81.867,50.707,49.293,13.01,380,0.920,bilinear,-76.757,-48.143,+2
vit_tiny_patch16_384,18.027,81.973,50.307,49.693,5.79,384,1.000,bicubic,-75.623,-48.293,+97
resnest50d_1s4x24d,17.693,82.307,49.800,50.200,25.68,224,0.875,bicubic,-77.057,-49.180,+5
resnest50d,17.373,82.627,50.707,49.293,27.48,224,0.875,bilinear,-77.457,-48.173,+1
gluon_seresnext101_32x4d,17.373,82.627,46.373,53.627,48.96,224,0.875,bicubic,-77.547,-52.437,-2
efficientnet_el,17.347,82.653,49.987,50.013,10.59,300,0.904,bicubic,-77.773,-49.003,-23
inception_v4,17.267,82.733,45.920,54.080,42.68,299,0.875,bicubic,-77.113,-52.660,+31
tf_efficientnet_b3_ap,17.187,82.813,49.680,50.320,12.23,300,0.904,bicubic,-78.133,-49.220,-36
tf_efficientnet_b3,17.000,83.000,49.267,50.733,12.23,300,0.904,bicubic,-78.010,-49.643,-15
xception71,17.000,83.000,45.520,54.480,42.34,299,0.903,bicubic,-77.280,-53.120,+35
resmlp_36_distilled_224,16.880,83.120,51.467,48.533,44.69,224,0.875,bicubic,-78.010,-47.553,-7
gluon_resnext101_64x4d,16.853,83.147,44.213,55.787,83.46,224,0.875,bicubic,-77.817,-54.437,0
tf_efficientnetv2_b3,16.667,83.333,48.680,51.320,14.36,300,0.904,bicubic,-78.493,-50.140,-32
tresnet_l,16.600,83.400,49.920,50.080,55.99,224,0.875,bilinear,-78.690,-49.090,-40
gluon_resnet152_v1d,16.573,83.427,44.280,55.720,60.21,224,0.875,bicubic,-78.167,-54.460,-6
gluon_resnet152_v1s,16.573,83.427,44.533,55.467,60.32,224,0.875,bicubic,-78.467,-54.297,-25
inception_resnet_v2,16.573,83.427,44.960,55.040,55.84,299,0.897,bicubic,-77.967,-53.830,+6
resmlp_24_distilled_224,16.467,83.533,50.387,49.613,30.02,224,0.875,bicubic,-77.993,-48.353,+13
gluon_xception65,16.440,83.560,46.027,53.973,39.92,299,0.903,bicubic,-77.820,-52.543,+28
gernet_l,16.373,83.627,47.213,52.787,31.08,256,0.875,bilinear,-78.717,-51.687,-36
wide_resnet50_2,16.280,83.720,48.347,51.653,68.88,224,0.875,bicubic,-78.800,-50.623,-35
ens_adv_inception_resnet_v2,16.240,83.760,43.640,56.360,55.84,299,0.897,bicubic,-77.920,-54.960,+38
repvgg_b3g4,16.213,83.787,47.653,52.347,83.83,224,0.875,bilinear,-78.307,-51.317,+3
xception65,16.027,83.973,43.773,56.227,39.92,299,0.903,bicubic,-77.733,-54.597,+66
ssl_resnet50,15.960,84.040,49.467,50.533,25.56,224,0.875,bilinear,-78.490,-49.453,+8
regnety_320,15.627,84.373,44.827,55.173,145.05,224,0.875,bicubic,-78.913,-54.023,-2
ecaresnet101d_pruned,15.600,84.400,48.027,51.973,24.88,224,0.875,bicubic,-79.480,-50.953,-42
ecaresnet26t,15.467,84.533,47.920,52.080,16.01,320,0.950,bicubic,-78.843,-50.720,+16
coat_tiny,15.413,84.587,45.600,54.400,5.50,224,0.900,bicubic,-78.177,-52.830,+74
skresnext50_32x4d,15.373,84.627,44.493,55.507,27.48,224,0.875,bicubic,-78.887,-53.967,+19
ecaresnetlight,15.160,84.840,45.827,54.173,30.16,224,0.875,bicubic,-79.610,-52.973,-25
cait_xxs24_224,15.160,84.840,44.960,55.040,11.96,224,1.000,bicubic,-78.440,-53.480,+71
levit_192,14.893,85.107,44.920,55.080,10.95,224,0.900,bicubic,-79.277,-53.620,+25
rexnet_150,14.720,85.280,46.907,53.093,9.73,224,0.875,bicubic,-79.760,-51.883,-2
rexnet_150,14.720,85.280,46.907,53.093,9.73,224,0.875,bicubic,-79.760,-51.903,-5
coat_lite_mini,14.507,85.493,44.507,55.493,11.01,224,0.900,bicubic,-79.553,-54.053,+35
efficientnet_el_pruned,14.480,85.520,46.120,53.880,10.59,300,0.904,bicubic,-79.920,-52.620,+1
efficientnet_b2,14.440,85.560,46.080,53.920,9.11,288,1.000,bicubic,-80.170,-52.630,-17
legacy_seresnext101_32x4d,14.147,85.853,42.973,57.027,48.96,224,0.875,bilinear,-80.223,-55.677,+2
seresnet50,14.147,85.853,45.467,54.533,28.09,224,0.875,bicubic,-80.403,-53.283,-15
gernet_m,14.013,85.987,46.067,53.933,21.14,224,0.875,bilinear,-80.607,-52.793,-21
gluon_resnext101_32x4d,13.867,86.133,41.653,58.347,44.18,224,0.875,bicubic,-80.663,-56.977,-14
gluon_seresnext50_32x4d,13.600,86.400,43.760,56.240,27.56,224,0.875,bicubic,-80.740,-54.850,0
repvgg_b2g4,13.440,86.560,43.787,56.213,61.76,224,0.875,bilinear,-80.420,-54.803,+39
ese_vovnet39b,13.320,86.680,43.813,56.187,24.57,224,0.875,bicubic,-80.770,-54.847,+24
regnetx_320,13.307,86.693,40.720,59.280,107.81,224,0.875,bicubic,-81.153,-58.020,-12
efficientnet_b2,14.440,85.560,46.080,53.920,9.11,288,1.000,bicubic,-80.170,-52.630,-19
legacy_seresnext101_32x4d,14.147,85.853,42.973,57.027,48.96,224,0.875,bilinear,-80.223,-55.677,+1
seresnet50,14.147,85.853,45.467,54.533,28.09,224,0.875,bicubic,-80.403,-53.283,-17
gernet_m,14.013,85.987,46.067,53.933,21.14,224,0.875,bilinear,-80.607,-52.793,-23
gluon_resnext101_32x4d,13.867,86.133,41.653,58.347,44.18,224,0.875,bicubic,-80.663,-56.977,-16
gluon_seresnext50_32x4d,13.600,86.400,43.760,56.240,27.56,224,0.875,bicubic,-80.740,-54.850,-1
resmlp_36_224,13.507,86.493,46.693,53.307,44.69,224,0.875,bicubic,-80.683,-51.647,+12
repvgg_b2g4,13.440,86.560,43.787,56.213,61.76,224,0.875,bilinear,-80.420,-54.863,+38
ese_vovnet39b,13.320,86.680,43.813,56.187,24.57,224,0.875,bicubic,-80.770,-54.847,+23
regnetx_320,13.307,86.693,40.720,59.280,107.81,224,0.875,bicubic,-81.153,-58.050,-14
pit_xs_distilled_224,13.240,86.760,44.573,55.427,11.00,224,0.900,bicubic,-80.570,-54.097,+40
efficientnet_b3_pruned,13.173,86.827,45.213,54.787,9.86,300,0.904,bicubic,-81.457,-53.547,-29
gluon_resnet101_v1d,13.160,86.840,41.493,58.507,44.57,224,0.875,bicubic,-81.060,-57.057,+6
mixnet_xl,13.120,86.880,43.253,56.747,11.90,224,0.875,bicubic,-81.070,-55.087,+7
nf_regnet_b1,13.027,86.973,44.413,55.587,10.22,288,0.900,bicubic,-81.103,-54.217,+15
pit_xs_224,12.813,87.187,42.840,57.160,10.62,224,0.900,bicubic,-80.297,-55.470,+82
gluon_inception_v3,12.640,87.360,40.493,59.507,23.83,299,0.875,bicubic,-80.820,-58.037,+59
coat_lite_tiny,12.520,87.480,41.160,58.840,5.72,224,0.900,bicubic,-80.720,-57.100,+73
regnety_120,12.427,87.573,42.200,57.800,51.82,224,0.875,bicubic,-82.053,-56.610,-23
efficientnet_em,12.360,87.640,43.880,56.120,6.90,240,0.882,bicubic,-81.480,-54.930,+28
nf_resnet50,12.320,87.680,46.760,53.240,25.56,288,0.940,bicubic,-82.270,-52.050,-35
vit_small_patch16_224,12.147,87.853,40.320,59.680,48.75,224,0.900,bicubic,-80.613,-57.610,+93
hrnet_w64,12.027,87.973,40.787,59.213,128.06,224,0.875,bilinear,-81.983,-57.823,+14
cspdarknet53,12.013,87.987,43.253,56.747,27.64,256,0.887,bilinear,-82.647,-55.547,-43
gluon_resnet101_v1s,11.880,88.120,40.973,59.027,44.67,224,0.875,bicubic,-82.840,-57.847,-47
resnet50d,11.693,88.307,42.453,57.547,25.58,224,0.875,bicubic,-82.567,-56.267,-14
dpn92,11.627,88.373,40.267,59.733,37.67,224,0.875,bicubic,-82.603,-58.463,-10
efficientnet_b3_pruned,13.173,86.827,45.213,54.787,9.86,300,0.904,bicubic,-81.457,-53.547,-32
gluon_resnet101_v1d,13.160,86.840,41.493,58.507,44.57,224,0.875,bicubic,-81.060,-57.057,+4
mixnet_xl,13.120,86.880,43.253,56.747,11.90,224,0.875,bicubic,-81.070,-55.407,+6
nf_regnet_b1,12.947,87.053,44.400,55.600,10.22,288,0.900,bicubic,-81.173,-54.230,+14
pit_xs_224,12.813,87.187,42.840,57.160,10.62,224,0.900,bicubic,-80.297,-55.550,+84
gluon_inception_v3,12.640,87.360,40.493,59.507,23.83,299,0.875,bicubic,-80.820,-58.077,+59
coat_lite_tiny,12.520,87.480,41.160,58.840,5.72,224,0.900,bicubic,-80.720,-57.100,+74
resmlp_24_224,12.493,87.507,43.427,56.573,30.02,224,0.875,bicubic,-81.527,-54.903,+16
regnety_120,12.427,87.573,42.200,57.800,51.82,224,0.875,bicubic,-82.053,-56.480,-28
efficientnet_em,12.360,87.640,43.880,56.120,6.90,240,0.882,bicubic,-81.480,-54.930,+27
hrnet_w64,12.027,87.973,40.787,59.213,128.06,224,0.875,bilinear,-81.983,-57.823,+15
cspdarknet53,12.013,87.987,43.253,56.747,27.64,256,0.887,bilinear,-82.647,-55.547,-46
gluon_resnet101_v1s,11.880,88.120,40.973,59.027,44.67,224,0.875,bicubic,-82.840,-57.847,-50
gmixer_24_224,11.853,88.147,37.773,62.227,24.72,224,0.875,bicubic,-80.977,-60.407,+89
nf_resnet50,11.760,88.240,45.933,54.067,25.56,288,0.940,bicubic,-82.800,-52.857,-41
resnet50d,11.693,88.307,42.453,57.547,25.58,224,0.875,bicubic,-82.567,-56.267,-15
dpn92,11.627,88.373,40.267,59.733,37.67,224,0.875,bicubic,-82.603,-58.463,-13
xception41,11.600,88.400,39.133,60.867,26.97,299,0.903,bicubic,-81.830,-59.297,+50
dla102x2,11.573,88.427,41.293,58.707,41.28,224,0.875,bilinear,-82.377,-57.197,+10
levit_128,11.427,88.573,40.267,59.733,9.21,224,0.900,bicubic,-81.913,-58.113,+52
regnety_080,11.413,88.587,40.613,59.387,39.18,224,0.875,bicubic,-82.757,-58.067,-7
efficientnet_b2_pruned,11.360,88.640,42.027,57.973,8.31,260,0.890,bicubic,-82.780,-56.503,-4
tf_efficientnet_el,11.333,88.667,42.040,57.960,10.59,300,0.904,bicubic,-83.077,-56.670,-32
gluon_resnet152_v1c,11.093,88.907,37.120,62.880,60.21,224,0.875,bicubic,-83.067,-61.480,-9
dpn107,11.080,88.920,38.693,61.307,86.92,224,0.875,bicubic,-83.230,-59.787,-27
hrnet_w48,11.080,88.920,40.320,59.680,77.47,224,0.875,bilinear,-82.840,-58.290,+5
ecaresnet50d_pruned,11.027,88.973,41.947,58.053,19.94,224,0.875,bicubic,-83.193,-56.783,-19
tf_efficientnetv2_b2,11.027,88.973,39.760,60.240,10.10,260,0.890,bicubic,-83.393,-58.810,-38
adv_inception_v3,11.013,88.987,36.720,63.280,23.83,299,0.875,bicubic,-81.867,-61.420,+70
tf_efficientnet_b0_ns,10.933,89.067,40.067,59.933,5.29,224,0.875,bicubic,-82.697,-58.573,+23
tf_inception_v3,10.840,89.160,36.853,63.147,23.83,299,0.875,bicubic,-82.480,-61.177,+44
resnext50_32x4d,10.800,89.200,40.307,59.693,25.03,224,0.875,bicubic,-83.300,-58.043,-10
dpn131,10.787,89.213,37.200,62.800,79.25,224,0.875,bicubic,-83.223,-61.520,-7
tf_efficientnet_b2_ap,10.533,89.467,40.107,59.893,9.11,260,0.890,bicubic,-83.957,-58.513,-50
resnext50d_32x4d,10.413,89.587,39.733,60.267,25.05,224,0.875,bicubic,-83.767,-58.837,-23
rexnet_130,10.400,89.600,41.547,58.453,7.56,224,0.875,bicubic,-83.500,-56.853,-4
hrnet_w44,10.320,89.680,39.507,60.493,67.06,224,0.875,bilinear,-83.230,-59.193,+21
resnext101_32x8d,10.187,89.813,37.827,62.173,88.79,224,0.875,bilinear,-83.643,-60.753,+1
regnetx_160,10.147,89.853,38.000,62.000,54.28,224,0.875,bicubic,-83.973,-60.750,-18
dpn98,10.133,89.867,36.587,63.413,61.57,224,0.875,bicubic,-83.997,-61.983,-21
cspresnext50,10.120,89.880,40.373,59.627,20.57,224,0.875,bilinear,-84.360,-58.307,-56
legacy_seresnext50_32x4d,10.107,89.893,39.200,60.800,27.56,224,0.875,bilinear,-83.623,-59.380,+6
resnetrs50,10.093,89.907,37.507,62.493,35.69,224,0.910,bicubic,-84.217,-61.133,-43
inception_v3,10.027,89.973,35.227,64.773,23.83,299,0.875,bicubic,-82.693,-62.743,+65
efficientnet_b1,10.013,89.987,37.547,62.453,7.79,256,1.000,bicubic,-83.237,-60.743,+35
xception,9.987,90.013,38.027,61.973,22.86,299,0.897,bicubic,-83.473,-60.543,+19
regnety_064,9.947,90.053,39.067,60.933,30.58,224,0.875,bicubic,-84.203,-59.663,-30
dpn68b,9.787,90.213,38.053,61.947,12.61,224,0.875,bicubic,-83.903,-60.457,+2
gluon_resnet152_v1b,9.747,90.253,36.067,63.933,60.19,224,0.875,bicubic,-84.333,-62.383,-25
tf_efficientnet_lite3,9.667,90.333,39.000,61.000,8.20,300,0.904,bilinear,-84.533,-59.640,-40
tf_efficientnet_b2,9.653,90.347,38.880,61.120,9.11,260,0.890,bicubic,-84.707,-59.730,-55
tf_efficientnet_cc_b1_8e,9.573,90.427,36.773,63.227,39.72,240,0.882,bicubic,-84.327,-61.487,-19
res2net101_26w_4s,9.520,90.480,35.027,64.973,45.21,224,0.875,bilinear,-84.230,-63.283,-7
legacy_seresnet152,9.347,90.653,37.413,62.587,66.82,224,0.875,bilinear,-84.053,-60.937,+16
cspresnet50,9.253,90.747,39.640,60.360,21.62,256,0.887,bilinear,-84.487,-59.000,-8
hrnet_w40,9.227,90.773,36.893,63.107,57.56,224,0.875,bilinear,-84.263,-61.687,+8
regnetx_120,9.187,90.813,37.200,62.800,46.11,224,0.875,bicubic,-85.053,-61.450,-51
seresnext26d_32x4d,9.147,90.853,36.840,63.160,16.81,224,0.875,bicubic,-83.553,-61.310,+52
resnest26d,9.080,90.920,37.853,62.147,17.07,224,0.875,bilinear,-84.250,-60.777,+15
regnety_040,9.000,91.000,37.053,62.947,20.65,224,0.875,bicubic,-84.860,-61.597,-24
gluon_resnext50_32x4d,8.947,91.053,36.333,63.667,25.03,224,0.875,bicubic,-84.863,-62.057,-19
rexnet_100,8.893,91.107,36.373,63.627,4.80,224,0.875,bicubic,-84.137,-61.817,+31
seresnext26t_32x4d,8.893,91.107,36.907,63.093,16.81,224,0.875,bicubic,-83.927,-61.463,+39
mixnet_l,8.853,91.147,36.187,63.813,7.33,224,0.875,bicubic,-84.597,-62.033,+3
mobilenetv3_large_100_miil,8.840,91.160,32.973,67.027,5.48,224,0.875,bilinear,-83.420,-64.667,+64
convit_tiny,8.840,91.160,34.360,65.640,5.71,224,0.875,bicubic,-81.790,-63.380,+111
levit_128s,8.653,91.347,33.107,66.893,7.78,224,0.900,bicubic,-83.317,-64.953,+73
dla169,8.640,91.360,36.040,63.960,53.39,224,0.875,bilinear,-84.700,-62.560,+3
hrnet_w30,8.613,91.387,37.040,62.960,37.71,224,0.875,bilinear,-84.587,-61.370,+13
mixer_b16_224,8.600,91.400,29.413,70.587,59.88,224,0.875,bicubic,-83.270,-67.837,+75
legacy_seresnet101,8.533,91.467,36.013,63.987,49.33,224,0.875,bilinear,-84.747,-62.497,+8
tf_efficientnet_b1_ap,8.453,91.547,35.253,64.747,7.79,240,0.882,bicubic,-85.237,-63.107,-21
repvgg_b2,8.427,91.573,36.467,63.533,89.02,224,0.875,bilinear,-85.073,-62.263,-11
resnetblur50,8.240,91.760,37.400,62.600,25.56,224,0.875,bicubic,-85.720,-61.190,-46
dla102x,8.200,91.800,37.013,62.987,26.31,224,0.875,bilinear,-85.320,-61.497,-14
hrnet_w32,8.040,91.960,37.507,62.493,41.23,224,0.875,bilinear,-85.490,-60.943,-16
res2net50_26w_8s,8.000,92.000,33.853,66.147,48.40,224,0.875,bilinear,-85.540,-64.407,-18
gluon_resnet101_v1c,7.987,92.013,33.360,66.640,44.57,224,0.875,bicubic,-85.683,-65.060,-26
gluon_resnet50_v1d,7.920,92.080,35.000,65.000,25.58,224,0.875,bicubic,-85.850,-63.390,-36
dla60_res2next,7.787,92.213,34.987,65.013,17.03,224,0.875,bilinear,-85.393,-63.423,+4
dla102x2,11.573,88.427,41.293,58.707,41.28,224,0.875,bilinear,-82.377,-57.197,+9
vit_small_patch32_224,11.480,88.520,39.573,60.427,22.88,224,0.900,bicubic,-80.560,-58.657,+119
levit_128,11.427,88.573,40.267,59.733,9.21,224,0.900,bicubic,-81.913,-58.113,+51
regnety_080,11.413,88.587,40.613,59.387,39.18,224,0.875,bicubic,-82.757,-58.067,-10
efficientnet_b2_pruned,11.360,88.640,42.027,57.973,8.31,260,0.890,bicubic,-82.780,-56.503,-7
tf_efficientnet_el,11.333,88.667,42.040,57.960,10.59,300,0.904,bicubic,-83.077,-56.670,-36
gluon_resnet152_v1c,11.093,88.907,37.120,62.880,60.21,224,0.875,bicubic,-83.067,-61.520,-11
vit_tiny_r_s16_p8_384,11.093,88.907,39.987,60.013,6.36,384,1.000,bicubic,-80.947,-58.303,+114
dpn107,11.080,88.920,38.693,61.307,86.92,224,0.875,bicubic,-83.230,-60.027,-31
hrnet_w48,11.080,88.920,40.320,59.680,77.47,224,0.875,bilinear,-82.840,-58.290,+2
ecaresnet50d_pruned,11.027,88.973,41.947,58.053,19.94,224,0.875,bicubic,-83.193,-56.783,-24
tf_efficientnetv2_b2,11.027,88.973,39.760,60.240,10.10,260,0.890,bicubic,-83.393,-58.810,-43
adv_inception_v3,11.013,88.987,36.720,63.280,23.83,299,0.875,bicubic,-81.867,-61.420,+68
tf_efficientnet_b0_ns,10.933,89.067,40.067,59.933,5.29,224,0.875,bicubic,-82.697,-58.573,+21
tf_inception_v3,10.840,89.160,36.853,63.147,23.83,299,0.875,bicubic,-82.480,-61.177,+42
resnext50_32x4d,10.800,89.200,40.307,59.693,25.03,224,0.875,bicubic,-83.300,-58.043,-14
dpn131,10.787,89.213,37.200,62.800,79.25,224,0.875,bicubic,-83.223,-61.520,-10
tf_efficientnet_b2_ap,10.533,89.467,40.107,59.893,9.11,260,0.890,bicubic,-83.957,-58.513,-56
resnext50d_32x4d,10.413,89.587,39.733,60.267,25.05,224,0.875,bicubic,-83.767,-58.837,-27
rexnet_130,10.400,89.600,41.547,58.453,7.56,224,0.875,bicubic,-83.500,-56.853,-7
hrnet_w44,10.320,89.680,39.507,60.493,67.06,224,0.875,bilinear,-83.230,-59.193,+19
resnext101_32x8d,10.187,89.813,37.827,62.173,88.79,224,0.875,bilinear,-83.643,-60.753,-2
regnetx_160,10.147,89.853,38.000,62.000,54.28,224,0.875,bicubic,-83.973,-60.750,-22
dpn98,10.133,89.867,36.587,63.413,61.57,224,0.875,bicubic,-83.997,-61.983,-25
cspresnext50,10.120,89.880,40.373,59.627,20.57,224,0.875,bilinear,-84.360,-58.417,-60
legacy_seresnext50_32x4d,10.107,89.893,39.200,60.800,27.56,224,0.875,bilinear,-83.623,-59.380,+3
resnetrs50,10.093,89.907,37.507,62.493,35.69,224,0.910,bicubic,-84.217,-60.973,-50
inception_v3,10.027,89.973,35.227,64.773,23.83,299,0.875,bicubic,-82.693,-62.743,+64
efficientnet_b1,10.013,89.987,37.547,62.453,7.79,256,1.000,bicubic,-83.237,-60.743,+33
xception,9.987,90.013,38.027,61.973,22.86,299,0.897,bicubic,-83.473,-60.503,+18
regnety_064,9.947,90.053,39.067,60.933,30.58,224,0.875,bicubic,-84.203,-59.663,-34
dpn68b,9.787,90.213,38.053,61.947,12.61,224,0.875,bicubic,-83.903,-60.307,0
gluon_resnet152_v1b,9.747,90.253,36.067,63.933,60.19,224,0.875,bicubic,-84.333,-62.383,-29
tf_efficientnet_lite3,9.667,90.333,39.000,61.000,8.20,300,0.904,bilinear,-84.533,-59.640,-45
tf_efficientnet_b2,9.653,90.347,38.880,61.120,9.11,260,0.890,bicubic,-84.707,-59.730,-60
tf_efficientnet_cc_b1_8e,9.573,90.427,36.773,63.227,39.72,240,0.882,bicubic,-84.327,-61.487,-22
res2net101_26w_4s,9.520,90.480,35.027,64.973,45.21,224,0.875,bilinear,-84.230,-63.283,-10
legacy_seresnet152,9.347,90.653,37.413,62.587,66.82,224,0.875,bilinear,-84.053,-60.937,+14
cspresnet50,9.253,90.747,39.640,60.360,21.62,256,0.887,bilinear,-84.487,-59.000,-11
hrnet_w40,9.227,90.773,36.893,63.107,57.56,224,0.875,bilinear,-84.263,-61.687,+6
regnetx_120,9.187,90.813,37.200,62.800,46.11,224,0.875,bicubic,-85.053,-61.450,-56
seresnext26d_32x4d,9.147,90.853,36.840,63.160,16.81,224,0.875,bicubic,-83.553,-61.310,+51
resnest26d,9.080,90.920,37.853,62.147,17.07,224,0.875,bilinear,-84.250,-60.777,+13
vit_tiny_patch16_224,9.067,90.933,34.573,65.427,5.72,224,0.900,bicubic,-82.693,-63.467,+91
regnety_040,9.000,91.000,37.053,62.947,20.65,224,0.875,bicubic,-84.860,-61.537,-27
gluon_resnext50_32x4d,8.947,91.053,36.333,63.667,25.03,224,0.875,bicubic,-84.863,-62.077,-25
rexnet_100,8.893,91.107,36.373,63.627,4.80,224,0.875,bicubic,-84.137,-61.817,+28
seresnext26t_32x4d,8.893,91.107,36.907,63.093,16.81,224,0.875,bicubic,-83.927,-61.463,+38
mixnet_l,8.853,91.147,36.187,63.813,7.33,224,0.875,bicubic,-84.597,-62.033,0
convit_tiny,8.840,91.160,34.360,65.640,5.71,224,0.875,bicubic,-81.790,-63.380,+113
mobilenetv3_large_100_miil,8.840,91.160,32.973,67.027,5.48,224,0.875,bilinear,-83.420,-64.667,+62
levit_128s,8.653,91.347,33.107,66.893,7.78,224,0.900,bicubic,-83.317,-64.953,+74
dla169,8.640,91.360,36.040,63.960,53.39,224,0.875,bilinear,-84.700,-62.560,0
hrnet_w30,8.613,91.387,37.040,62.960,37.71,224,0.875,bilinear,-84.587,-61.370,+10
mixer_b16_224,8.600,91.400,29.413,70.587,59.88,224,0.875,bicubic,-83.270,-67.837,+76
legacy_seresnet101,8.533,91.467,36.013,63.987,49.33,224,0.875,bilinear,-84.747,-62.497,+5
tf_efficientnet_b1_ap,8.453,91.547,35.253,64.747,7.79,240,0.882,bicubic,-85.237,-63.257,-26
repvgg_b2,8.427,91.573,36.467,63.533,89.02,224,0.875,bilinear,-85.073,-62.263,-14
resmlp_12_distilled_224,8.307,91.693,36.853,63.147,15.35,224,0.875,bicubic,-84.523,-61.287,+25
resnetblur50,8.240,91.760,37.400,62.600,25.56,224,0.875,bicubic,-85.720,-61.190,-51
dla102x,8.200,91.800,37.013,62.987,26.31,224,0.875,bilinear,-85.320,-61.497,-18
hrnet_w32,8.040,91.960,37.507,62.493,41.23,224,0.875,bilinear,-85.490,-60.943,-20
res2net50_26w_8s,8.000,92.000,33.853,66.147,48.40,224,0.875,bilinear,-85.540,-64.407,-22
gluon_resnet101_v1c,7.987,92.013,33.360,66.640,44.57,224,0.875,bicubic,-85.683,-65.060,-31
gluon_resnet50_v1d,7.920,92.080,35.000,65.000,25.58,224,0.875,bicubic,-85.850,-63.390,-41
dla60_res2next,7.787,92.213,34.987,65.013,17.03,224,0.875,bilinear,-85.393,-63.423,0
densenetblur121d,7.720,92.280,34.733,65.267,8.00,224,0.875,bicubic,-84.190,-63.337,+62
vit_deit_tiny_distilled_patch16_224,7.707,92.293,33.560,66.440,5.91,224,0.900,bicubic,-82.993,-64.010,+92
tf_efficientnetv2_b1,7.693,92.307,34.653,65.347,8.14,240,0.882,bicubic,-86.247,-63.967,-53
dla60_res2net,7.560,92.440,34.627,65.373,20.85,224,0.875,bilinear,-85.620,-63.793,-1
efficientnet_b1_pruned,7.440,92.560,34.533,65.467,6.33,240,0.882,bicubic,-85.330,-63.507,+19
wide_resnet101_2,7.360,92.640,34.147,65.853,126.89,224,0.875,bilinear,-86.360,-64.393,-37
regnetx_064,7.333,92.667,34.373,65.627,26.21,224,0.875,bicubic,-86.557,-64.257,-53
vit_deit_tiny_patch16_224,7.307,92.693,30.707,69.293,5.72,224,0.900,bicubic,-82.363,-66.743,+100
hardcorenas_e,7.240,92.760,33.293,66.707,8.07,224,0.875,bilinear,-85.330,-64.817,+28
gluon_resnet101_v1b,7.227,92.773,32.773,67.227,44.55,224,0.875,bicubic,-86.523,-65.607,-45
efficientnet_b0,7.213,92.787,34.013,65.987,5.29,224,0.875,bicubic,-85.477,-64.057,+20
gluon_resnet50_v1s,7.213,92.787,33.507,66.493,25.68,224,0.875,bicubic,-86.407,-64.953,-38
tf_mixnet_l,7.147,92.853,31.613,68.387,7.33,224,0.875,bicubic,-86.163,-66.417,-17
tf_efficientnet_b1,7.133,92.867,33.040,66.960,7.79,240,0.882,bicubic,-86.367,-65.320,-31
tf_efficientnet_cc_b0_8e,7.120,92.880,31.787,68.213,24.01,224,0.875,bicubic,-85.710,-66.393,+6
hardcorenas_f,6.827,93.173,34.093,65.907,8.20,224,0.875,bilinear,-86.123,-64.067,+1
ese_vovnet19b_dw,6.733,93.267,33.413,66.587,6.54,224,0.875,bicubic,-85.557,-64.677,+31
selecsls60b,6.733,93.267,33.267,66.733,32.77,224,0.875,bicubic,-86.567,-65.123,-20
efficientnet_es,6.707,93.293,33.840,66.160,5.44,224,0.875,bicubic,-86.433,-64.580,-14
res2net50_26w_6s,6.693,93.307,31.653,68.347,37.05,224,0.875,bilinear,-86.717,-66.627,-31
deit_tiny_distilled_patch16_224,7.707,92.293,33.560,66.440,5.91,224,0.900,bicubic,-82.993,-64.010,+92
tf_efficientnetv2_b1,7.693,92.307,34.653,65.347,8.14,240,0.882,bicubic,-86.247,-63.967,-58
dla60_res2net,7.560,92.440,34.627,65.373,20.85,224,0.875,bilinear,-85.620,-63.793,-5
efficientnet_b1_pruned,7.440,92.560,34.533,65.467,6.33,240,0.882,bicubic,-85.330,-63.507,+17
wide_resnet101_2,7.360,92.640,34.147,65.853,126.89,224,0.875,bilinear,-86.360,-64.393,-42
regnetx_064,7.333,92.667,34.373,65.627,26.21,224,0.875,bicubic,-86.557,-64.257,-58
deit_tiny_patch16_224,7.307,92.693,30.707,69.293,5.72,224,0.900,bicubic,-82.363,-66.743,+101
hardcorenas_e,7.240,92.760,33.293,66.707,8.07,224,0.875,bilinear,-85.330,-64.817,+25
gluon_resnet101_v1b,7.227,92.773,32.773,67.227,44.55,224,0.875,bicubic,-86.523,-65.607,-50
efficientnet_b0,7.213,92.787,34.013,65.987,5.29,224,0.875,bicubic,-85.477,-64.057,+17
gluon_resnet50_v1s,7.213,92.787,33.507,66.493,25.68,224,0.875,bicubic,-86.407,-64.953,-42
tf_mixnet_l,7.147,92.853,31.613,68.387,7.33,224,0.875,bicubic,-86.163,-66.417,-21
tf_efficientnet_b1,7.133,92.867,33.040,66.960,7.79,240,0.882,bicubic,-86.367,-65.320,-35
tf_efficientnet_cc_b0_8e,7.120,92.880,31.787,68.213,24.01,224,0.875,bicubic,-85.710,-66.093,+2
resmlp_12_224,7.013,92.987,33.947,66.053,15.35,224,0.875,bicubic,-85.197,-64.213,+34
hardcorenas_f,6.827,93.173,34.093,65.907,8.20,224,0.875,bilinear,-86.123,-64.067,-4
ese_vovnet19b_dw,6.733,93.267,33.413,66.587,6.54,224,0.875,bicubic,-85.557,-64.677,+27
selecsls60b,6.733,93.267,33.267,66.733,32.77,224,0.875,bicubic,-86.567,-65.013,-26
efficientnet_es,6.707,93.293,33.840,66.160,5.44,224,0.875,bicubic,-86.433,-64.580,-19
res2net50_26w_6s,6.693,93.307,31.653,68.347,37.05,224,0.875,bilinear,-86.717,-66.627,-36
legacy_seresnext26_32x4d,6.627,93.373,33.253,66.747,16.79,224,0.875,bicubic,-86.013,-64.877,+9
mixnet_m,6.627,93.373,32.053,67.947,5.01,224,0.875,bicubic,-85.803,-65.817,+16
pit_ti_distilled_224,6.627,93.373,30.760,69.240,5.10,224,0.900,bicubic,-84.273,-66.940,+66
mixnet_m,6.627,93.373,32.053,67.947,5.01,224,0.875,bicubic,-85.803,-65.817,+20
legacy_seresnext26_32x4d,6.627,93.373,33.253,66.747,16.79,224,0.875,bicubic,-86.013,-64.877,+13
skresnet34,6.480,93.520,31.547,68.453,22.28,224,0.875,bicubic,-85.910,-66.603,+21
repvgg_b1,6.467,93.533,33.827,66.173,57.42,224,0.875,bilinear,-86.863,-64.683,-32
hardcorenas_d,6.440,93.560,32.213,67.787,7.50,224,0.875,bilinear,-85.960,-65.857,+17
dla60x,6.427,93.573,34.080,65.920,17.35,224,0.875,bilinear,-86.693,-64.430,-21
resnet34d,6.400,93.600,31.493,68.507,21.82,224,0.875,bicubic,-86.280,-66.817,+4
regnetx_080,6.307,93.693,32.320,67.680,39.57,224,0.875,bicubic,-87.563,-66.200,-74
skresnet34,6.480,93.520,31.547,68.453,22.28,224,0.875,bicubic,-85.910,-66.603,+17
repvgg_b1,6.467,93.533,33.827,66.173,57.42,224,0.875,bilinear,-86.863,-64.683,-37
hardcorenas_d,6.440,93.560,32.213,67.787,7.50,224,0.875,bilinear,-85.960,-65.857,+13
dla60x,6.427,93.573,34.080,65.920,17.35,224,0.875,bilinear,-86.693,-64.430,-26
resnet34d,6.400,93.600,31.493,68.507,21.82,224,0.875,bicubic,-86.280,-66.817,0
regnetx_080,6.307,93.693,32.320,67.680,39.57,224,0.875,bicubic,-87.563,-66.200,-80
swsl_resnet18,6.240,93.760,31.600,68.400,11.69,224,0.875,bilinear,-84.450,-66.100,+65
legacy_seresnet50,6.187,93.813,32.653,67.347,28.09,224,0.875,bilinear,-86.773,-65.537,-15
legacy_seresnet50,6.187,93.813,32.653,67.347,28.09,224,0.875,bilinear,-86.773,-65.537,-20
pit_ti_224,6.120,93.880,30.227,69.773,4.85,224,0.900,bicubic,-83.820,-67.223,+73
tv_resnet152,6.040,93.960,32.053,67.947,60.19,224,0.875,bilinear,-87.260,-66.227,-36
tf_efficientnet_cc_b0_4e,5.973,94.027,29.600,70.400,13.31,224,0.875,bicubic,-86.617,-68.480,+1
regnetx_040,5.973,94.027,31.547,68.453,22.12,224,0.875,bicubic,-87.587,-66.993,-57
resnet50,5.933,94.067,29.093,70.907,25.56,224,0.875,bicubic,-87.877,-69.317,-76
tf_efficientnetv2_b0,5.893,94.107,30.773,69.227,7.14,224,0.875,bicubic,-87.217,-67.617,-28
dla102,5.880,94.120,32.707,67.293,33.27,224,0.875,bilinear,-87.180,-65.833,-28
mixer_l16_224,5.867,94.133,18.533,81.467,208.20,224,0.875,bicubic,-81.283,-74.987,+84
regnety_016,5.680,94.320,30.413,69.587,11.20,224,0.875,bicubic,-87.350,-67.947,-28
selecsls60,5.653,94.347,32.507,67.493,30.67,224,0.875,bicubic,-87.377,-65.793,-27
hardcorenas_c,5.640,94.360,30.400,69.600,5.52,224,0.875,bilinear,-86.380,-67.440,+15
res2next50,5.627,94.373,30.867,69.133,24.67,224,0.875,bilinear,-87.213,-67.313,-23
hrnet_w18,5.493,94.507,30.960,69.040,21.30,224,0.875,bilinear,-86.827,-67.280,+3
tv_resnet152,6.040,93.960,32.053,67.947,60.19,224,0.875,bilinear,-87.260,-66.337,-40
regnetx_040,5.973,94.027,31.547,68.453,22.12,224,0.875,bicubic,-87.587,-66.993,-62
tf_efficientnet_cc_b0_4e,5.973,94.027,29.600,70.400,13.31,224,0.875,bicubic,-86.617,-68.480,-3
resnet50,5.933,94.067,29.093,70.907,25.56,224,0.875,bicubic,-87.877,-69.297,-80
tf_efficientnetv2_b0,5.893,94.107,30.773,69.227,7.14,224,0.875,bicubic,-87.217,-67.537,-34
dla102,5.880,94.120,32.707,67.293,33.27,224,0.875,bilinear,-87.180,-65.833,-33
mixer_l16_224,5.867,94.133,18.533,81.467,208.20,224,0.875,bicubic,-81.283,-74.987,+85
regnety_016,5.680,94.320,30.413,69.587,11.20,224,0.875,bicubic,-87.350,-67.947,-33
selecsls60,5.653,94.347,32.507,67.493,30.67,224,0.875,bicubic,-87.377,-65.793,-32
hardcorenas_c,5.640,94.360,30.400,69.600,5.52,224,0.875,bilinear,-86.380,-67.440,+14
res2next50,5.627,94.373,30.867,69.133,24.67,224,0.875,bilinear,-87.213,-67.313,-28
hrnet_w18,5.493,94.507,30.960,69.040,21.30,224,0.875,bilinear,-86.827,-67.280,-1
resnest14d,5.480,94.520,28.547,71.453,10.61,224,0.875,bilinear,-86.240,-69.323,+25
tf_efficientnet_lite2,5.360,94.640,30.907,69.093,6.09,260,0.890,bicubic,-87.290,-67.323,-13
tf_efficientnet_em,5.347,94.653,31.107,68.893,6.90,240,0.882,bicubic,-87.583,-67.083,-29
gernet_s,5.307,94.693,30.133,69.867,8.17,224,0.875,bilinear,-86.833,-68.057,+7
tf_efficientnet_b0_ap,5.307,94.693,28.813,71.187,5.29,224,0.875,bicubic,-86.893,-69.207,+4
tf_efficientnet_lite2,5.360,94.640,30.907,69.093,6.09,260,0.890,bicubic,-87.290,-67.323,-17
tf_efficientnet_em,5.347,94.653,31.107,68.893,6.90,240,0.882,bicubic,-87.583,-67.083,-34
gernet_s,5.307,94.693,30.133,69.867,8.17,224,0.875,bilinear,-86.833,-68.057,+4
tf_efficientnet_b0_ap,5.307,94.693,28.813,71.187,5.29,224,0.875,bicubic,-86.893,-69.207,+1
densenet121,5.293,94.707,29.907,70.093,7.98,224,0.875,bicubic,-86.277,-68.123,+21
repvgg_b1g4,5.293,94.707,30.813,69.187,39.97,224,0.875,bilinear,-87.687,-67.617,-36
res2net50_26w_4s,5.160,94.840,29.360,70.640,25.70,224,0.875,bilinear,-87.340,-68.700,-11
tf_mixnet_m,5.080,94.920,28.147,71.853,5.01,224,0.875,bicubic,-87.250,-69.743,-7
mobilenetv3_large_100,5.067,94.933,28.187,71.813,5.48,224,0.875,bicubic,-86.253,-69.523,+22
tf_efficientnet_b0,5.067,94.933,28.800,71.200,5.29,224,0.875,bicubic,-87.183,-69.200,-4
res2net50_14w_8s,5.040,94.960,28.773,71.227,25.06,224,0.875,bilinear,-87.700,-69.407,-29
hardcorenas_b,4.947,95.053,28.120,71.880,5.18,224,0.875,bilinear,-86.823,-69.660,+11
mobilenetv3_rw,4.907,95.093,29.853,70.147,5.48,224,0.875,bicubic,-86.303,-67.807,+20
mixnet_s,4.907,95.093,28.573,71.427,4.13,224,0.875,bicubic,-86.923,-69.117,+8
gluon_resnet50_v1c,4.893,95.107,28.147,71.853,25.58,224,0.875,bicubic,-88.137,-70.243,-49
hardcorenas_a,4.867,95.133,28.093,71.907,5.26,224,0.875,bilinear,-86.483,-69.767,+14
regnetx_032,4.853,95.147,30.280,69.720,15.30,224,0.875,bicubic,-88.267,-68.110,-55
tv_resnext50_32x4d,4.840,95.160,30.307,69.693,25.03,224,0.875,bilinear,-87.900,-67.963,-35
tv_resnet101,4.707,95.293,29.333,70.667,44.55,224,0.875,bilinear,-88.103,-68.917,-41
densenet161,4.693,95.307,29.547,70.453,28.68,224,0.875,bicubic,-87.807,-68.743,-25
selecsls42b,4.667,95.333,28.587,71.413,32.46,224,0.875,bicubic,-87.613,-69.563,-17
tf_efficientnet_lite1,4.613,95.387,28.387,71.613,5.42,240,0.882,bicubic,-88.007,-69.693,-32
mobilenetv2_120d,4.533,95.467,29.280,70.720,5.83,224,0.875,bicubic,-87.867,-68.770,-24
efficientnet_es_pruned,4.187,95.813,26.520,73.480,5.44,224,0.875,bicubic,-86.993,-71.230,+12
repvgg_b1g4,5.293,94.707,30.813,69.187,39.97,224,0.875,bilinear,-87.687,-67.617,-41
res2net50_26w_4s,5.160,94.840,29.360,70.640,25.70,224,0.875,bilinear,-87.340,-68.700,-15
tf_mixnet_m,5.080,94.920,28.147,71.853,5.01,224,0.875,bicubic,-87.250,-69.743,-11
vit_tiny_r_s16_p8_224,5.080,94.920,27.080,72.920,6.34,224,0.900,bicubic,-84.090,-70.150,+58
tf_efficientnet_b0,5.067,94.933,28.800,71.200,5.29,224,0.875,bicubic,-87.183,-69.200,-9
mobilenetv3_large_100,5.067,94.933,28.187,71.813,5.48,224,0.875,bicubic,-86.253,-69.523,+21
res2net50_14w_8s,5.040,94.960,28.773,71.227,25.06,224,0.875,bilinear,-87.700,-69.407,-34
hardcorenas_b,4.947,95.053,28.120,71.880,5.18,224,0.875,bilinear,-86.823,-69.660,+9
mixnet_s,4.907,95.093,28.573,71.427,4.13,224,0.875,bicubic,-86.923,-69.117,+6
mobilenetv3_rw,4.907,95.093,29.853,70.147,5.48,224,0.875,bicubic,-86.303,-67.807,+19
gluon_resnet50_v1c,4.893,95.107,28.147,71.853,25.58,224,0.875,bicubic,-88.137,-70.243,-55
hardcorenas_a,4.867,95.133,28.093,71.907,5.26,224,0.875,bilinear,-86.483,-69.767,+13
regnetx_032,4.853,95.147,30.280,69.720,15.30,224,0.875,bicubic,-88.267,-68.110,-61
tv_resnext50_32x4d,4.840,95.160,30.307,69.693,25.03,224,0.875,bilinear,-87.900,-67.963,-40
tv_resnet101,4.707,95.293,29.333,70.667,44.55,224,0.875,bilinear,-88.103,-68.917,-45
densenet161,4.693,95.307,29.547,70.453,28.68,224,0.875,bicubic,-87.807,-68.743,-30
selecsls42b,4.667,95.333,28.587,71.413,32.46,224,0.875,bicubic,-87.613,-69.563,-22
tf_efficientnet_lite1,4.613,95.387,28.387,71.613,5.42,240,0.882,bicubic,-88.007,-69.693,-37
mobilenetv2_120d,4.533,95.467,29.280,70.720,5.83,224,0.875,bicubic,-87.867,-68.770,-29
efficientnet_es_pruned,4.187,95.813,26.520,73.480,5.44,224,0.875,bicubic,-86.993,-71.230,+11
fbnetc_100,4.133,95.867,25.933,74.067,5.57,224,0.875,bilinear,-86.567,-71.277,+23
gluon_resnet50_v1b,4.120,95.880,26.933,73.067,25.56,224,0.875,bicubic,-88.420,-71.237,-33
densenet201,4.120,95.880,27.547,72.453,20.01,224,0.875,bicubic,-88.630,-70.683,-45
resnet26d,4.040,95.960,28.520,71.480,16.01,224,0.875,bicubic,-88.030,-69.440,-17
semnasnet_100,3.960,96.040,26.947,73.053,3.89,224,0.875,bicubic,-87.320,-70.613,+3
repvgg_a2,3.947,96.053,27.267,72.733,28.21,224,0.875,bilinear,-87.993,-70.883,-14
tf_mixnet_s,3.880,96.120,25.253,74.747,4.13,224,0.875,bicubic,-87.630,-72.367,-4
dpn68,3.867,96.133,26.080,73.920,12.61,224,0.875,bicubic,-88.143,-71.970,-19
tf_efficientnet_es,3.827,96.173,26.107,73.893,5.44,224,0.875,bicubic,-88.153,-71.753,-19
regnety_008,3.813,96.187,27.133,72.867,6.26,224,0.875,bicubic,-87.937,-71.047,-10
dla60,3.773,96.227,27.933,72.067,22.04,224,0.875,bilinear,-88.457,-70.177,-28
ssl_resnet18,3.747,96.253,25.427,74.573,11.69,224,0.875,bilinear,-86.473,-72.123,+20
mobilenetv2_140,3.720,96.280,26.747,73.253,6.11,224,0.875,bicubic,-88.110,-71.113,-15
densenet169,3.707,96.293,25.613,74.387,14.15,224,0.875,bicubic,-88.223,-72.487,-21
regnetx_016,3.627,96.373,26.293,73.707,9.19,224,0.875,bicubic,-88.543,-71.917,-30
res2net50_48w_2s,3.587,96.413,26.613,73.387,25.29,224,0.875,bilinear,-88.963,-71.467,-47
spnasnet_100,3.547,96.453,24.293,75.707,4.42,224,0.875,bilinear,-86.803,-72.897,+14
tf_mobilenetv3_large_100,3.547,96.453,25.053,74.947,5.48,224,0.875,bilinear,-87.693,-72.607,-9
regnety_006,3.467,96.533,24.893,75.107,6.06,224,0.875,bicubic,-87.903,-72.817,-14
legacy_seresnet34,3.333,96.667,23.800,76.200,21.96,224,0.875,bilinear,-87.557,-73.780,+1
efficientnet_lite0,3.253,96.747,25.867,74.133,4.65,224,0.875,bicubic,-87.887,-71.763,-8
dla34,3.227,96.773,23.573,76.427,15.74,224,0.875,bilinear,-87.533,-74.087,+1
ghostnet_100,3.227,96.773,24.853,75.147,5.18,224,0.875,bilinear,-86.793,-72.517,+12
regnety_004,3.200,96.800,22.653,77.347,4.34,224,0.875,bicubic,-87.300,-74.887,+5
mobilenetv2_110d,3.173,96.827,24.587,75.413,4.52,224,0.875,bicubic,-87.777,-72.963,-6
mnasnet_100,3.120,96.880,24.227,75.773,4.38,224,0.875,bicubic,-87.390,-73.243,+2
tf_efficientnet_lite0,3.080,96.920,22.907,77.093,4.65,224,0.875,bicubic,-87.960,-74.683,-10
skresnet18,3.013,96.987,22.800,77.200,11.96,224,0.875,bicubic,-86.647,-74.430,+12
vgg19_bn,2.947,97.053,23.480,76.520,143.68,224,0.875,bilinear,-87.133,-74.100,+5
resnet34,2.920,97.080,23.680,76.320,21.80,224,0.875,bilinear,-88.210,-73.940,-16
tf_mobilenetv3_large_075,2.867,97.133,21.573,78.427,3.99,224,0.875,bilinear,-86.813,-75.637,+7
hrnet_w18_small_v2,2.720,97.280,23.693,76.307,15.60,224,0.875,bilinear,-88.470,-74.207,-21
gluon_resnet34_v1b,2.667,97.333,21.680,78.320,21.80,224,0.875,bicubic,-88.293,-75.950,-15
regnetx_008,2.653,97.347,22.453,77.547,7.26,224,0.875,bicubic,-88.397,-75.257,-18
vgg16_bn,2.653,97.347,23.773,76.227,138.37,224,0.875,bilinear,-87.437,-73.597,-2
densenet201,4.120,95.880,27.547,72.453,20.01,224,0.875,bicubic,-88.630,-70.683,-50
gluon_resnet50_v1b,4.120,95.880,26.933,73.067,25.56,224,0.875,bicubic,-88.420,-71.237,-38
resnet26d,4.040,95.960,28.520,71.480,16.01,224,0.875,bicubic,-88.030,-69.440,-21
semnasnet_100,3.960,96.040,26.947,73.053,3.89,224,0.875,bicubic,-87.320,-70.613,+2
repvgg_a2,3.947,96.053,27.267,72.733,28.21,224,0.875,bilinear,-87.993,-70.883,-16
tf_mixnet_s,3.880,96.120,25.253,74.747,4.13,224,0.875,bicubic,-87.630,-72.367,-5
dpn68,3.867,96.133,26.080,73.920,12.61,224,0.875,bicubic,-88.143,-71.970,-21
tf_efficientnet_es,3.827,96.173,26.107,73.893,5.44,224,0.875,bicubic,-88.153,-71.753,-21
regnety_008,3.813,96.187,27.133,72.867,6.26,224,0.875,bicubic,-87.937,-71.047,-11
dla60,3.773,96.227,27.933,72.067,22.04,224,0.875,bilinear,-88.457,-70.177,-33
ssl_resnet18,3.747,96.253,25.427,74.573,11.69,224,0.875,bilinear,-86.473,-72.123,+19
mobilenetv2_140,3.720,96.280,26.747,73.253,6.11,224,0.875,bicubic,-88.110,-71.113,-17
densenet169,3.707,96.293,25.613,74.387,14.15,224,0.875,bicubic,-88.223,-72.487,-23
regnetx_016,3.627,96.373,26.293,73.707,9.19,224,0.875,bicubic,-88.543,-71.917,-34
res2net50_48w_2s,3.587,96.413,26.613,73.387,25.29,224,0.875,bilinear,-88.963,-71.467,-52
spnasnet_100,3.547,96.453,24.293,75.707,4.42,224,0.875,bilinear,-86.803,-72.897,+13
tf_mobilenetv3_large_100,3.547,96.453,25.053,74.947,5.48,224,0.875,bilinear,-87.693,-72.607,-10
regnety_006,3.467,96.533,24.893,75.107,6.06,224,0.875,bicubic,-87.903,-72.817,-15
legacy_seresnet34,3.333,96.667,23.800,76.200,21.96,224,0.875,bilinear,-87.557,-73.780,0
efficientnet_lite0,3.253,96.747,25.867,74.133,4.65,224,0.875,bicubic,-87.887,-71.763,-9
dla34,3.227,96.773,23.573,76.427,15.74,224,0.875,bilinear,-87.533,-74.087,0
ghostnet_100,3.227,96.773,24.853,75.147,5.18,224,0.875,bilinear,-86.793,-72.517,+11
regnety_004,3.200,96.800,22.653,77.347,4.34,224,0.875,bicubic,-87.300,-74.887,+4
mobilenetv2_110d,3.173,96.827,24.587,75.413,4.52,224,0.875,bicubic,-87.777,-72.963,-7
mnasnet_100,3.120,96.880,24.227,75.773,4.38,224,0.875,bicubic,-87.390,-73.243,+1
tf_efficientnet_lite0,3.080,96.920,22.907,77.093,4.65,224,0.875,bicubic,-87.960,-74.683,-11
skresnet18,3.013,96.987,22.800,77.200,11.96,224,0.875,bicubic,-86.647,-74.430,+11
vgg19_bn,2.947,97.053,23.480,76.520,143.68,224,0.875,bilinear,-87.133,-74.100,+4
resnet34,2.920,97.080,23.680,76.320,21.80,224,0.875,bilinear,-88.210,-73.940,-17
tf_mobilenetv3_large_075,2.867,97.133,21.573,78.427,3.99,224,0.875,bilinear,-86.813,-75.637,+6
hrnet_w18_small_v2,2.720,97.280,23.693,76.307,15.60,224,0.875,bilinear,-88.470,-74.207,-22
gluon_resnet34_v1b,2.667,97.333,21.680,78.320,21.80,224,0.875,bicubic,-88.293,-75.950,-16
regnetx_008,2.653,97.347,22.453,77.547,7.26,224,0.875,bicubic,-88.397,-75.257,-19
vgg16_bn,2.653,97.347,23.773,76.227,138.37,224,0.875,bilinear,-87.437,-73.597,-3
vgg16,2.640,97.360,20.427,79.573,138.36,224,0.875,bilinear,-85.910,-76.363,+13
resnet18d,2.600,97.400,21.613,78.387,11.71,224,0.875,bicubic,-86.680,-75.537,+5
tv_densenet121,2.560,97.440,22.667,77.333,7.98,224,0.875,bicubic,-88.330,-75.043,-16
repvgg_b0,2.547,97.453,24.013,75.987,15.82,224,0.875,bilinear,-88.883,-73.977,-35
regnetx_006,2.507,97.493,20.653,79.347,6.20,224,0.875,bicubic,-87.843,-76.777,-10
resnet18d,2.600,97.400,21.613,78.387,11.71,224,0.875,bicubic,-86.680,-75.537,+4
tv_densenet121,2.560,97.440,22.667,77.333,7.98,224,0.875,bicubic,-88.330,-75.043,-17
repvgg_b0,2.547,97.453,24.013,75.987,15.82,224,0.875,bilinear,-88.883,-73.977,-36
regnetx_006,2.507,97.493,20.653,79.347,6.20,224,0.875,bicubic,-87.843,-76.777,-11
legacy_seresnet18,2.493,97.507,20.080,79.920,11.78,224,0.875,bicubic,-86.387,-76.900,+6
resnet26,2.480,97.520,22.987,77.013,16.00,224,0.875,bicubic,-88.630,-74.753,-27
mobilenetv2_100,2.147,97.853,19.907,80.093,3.50,224,0.875,bicubic,-87.453,-77.233,-2
resnet26,2.480,97.520,22.987,77.013,16.00,224,0.875,bicubic,-88.630,-74.753,-28
mobilenetv2_100,2.147,97.853,19.907,80.093,3.50,224,0.875,bicubic,-87.453,-77.233,-3
regnety_002,2.147,97.853,18.880,81.120,3.16,224,0.875,bicubic,-85.233,-77.710,+9
vgg19,2.107,97.893,20.733,79.267,143.67,224,0.875,bilinear,-86.933,-76.137,-1
vgg13_bn,2.093,97.907,20.307,79.693,133.05,224,0.875,bilinear,-86.667,-76.663,+2
tf_mobilenetv3_small_100,2.013,97.987,15.867,84.133,2.54,224,0.875,bilinear,-83.177,-79.903,+12
tf_mobilenetv3_small_075,2.000,98.000,14.813,85.187,2.04,224,0.875,bilinear,-81.520,-79.977,+14
regnetx_004,1.960,98.040,19.173,80.827,5.16,224,0.875,bicubic,-86.940,-77.947,-3
tv_resnet34,1.867,98.133,20.000,80.000,21.80,224,0.875,bilinear,-88.073,-77.340,-13
vgg13,1.867,98.133,17.960,82.040,133.05,224,0.875,bilinear,-85.183,-78.360,+4
tv_resnet34,1.867,98.133,20.000,80.000,21.80,224,0.875,bilinear,-88.073,-77.340,-14
dla46x_c,1.760,98.240,16.480,83.520,1.07,224,0.875,bilinear,-82.490,-78.790,+8
vgg11_bn,1.720,98.280,18.093,81.907,132.87,224,0.875,bilinear,-85.780,-78.727,-2
tf_mobilenetv3_large_minimal_100,1.627,98.373,17.120,82.880,3.92,224,0.875,bilinear,-87.343,-79.740,-9
@ -392,4 +418,4 @@ dla46_c,1.520,98.480,15.267,84.733,1.30,224,0.875,bilinear,-82.130,-79.653,+2
regnetx_002,1.373,98.627,15.027,84.973,2.68,224,0.875,bicubic,-84.817,-80.953,-2
resnet18,1.160,98.840,16.213,83.787,11.69,224,0.875,bilinear,-86.230,-80.077,-9
tf_mobilenetv3_small_minimal_100,1.013,98.987,11.493,88.507,2.04,224,0.875,bilinear,-80.367,-82.177,+1
tv_resnet50,0.000,100.000,14.453,85.547,25.56,224,0.875,bilinear,-91.880,-83.587,-68
tv_resnet50,0.000,100.000,14.453,85.547,25.56,224,0.875,bilinear,-91.880,-83.587,-70

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 84.760 15.240 96.147 3.853 480.31 800 0.960 bicubic -13.790 -3.673 0
3 tf_efficientnet_l2_ns_475 83.373 16.627 95.453 4.547 480.31 475 0.936 bicubic -15.127 -4.377 0
4 vit_large_patch16_384 71.227 28.773 89.840 10.160 304.72 384 1.000 bicubic -26.993 -9.960 0
5 swin_large_patch4_window12_384 69.627 30.373 89.560 10.440 196.74 384 1.000 bicubic -28.413 -10.130 0
6 tf_efficientnet_b7_ns 67.040 32.960 88.667 11.333 66.35 600 0.949 bicubic -30.870 -11.053 0
7 tf_efficientnetv2_l_in21ft1k 66.333 33.667 87.853 12.147 118.52 480 1.000 bicubic -31.367 -11.817 +2 +3
8 swin_base_patch4_window12_384 64.480 35.520 87.493 12.507 87.90 384 1.000 bicubic -33.410 -12.217 -1
9 cait_m48_448 vit_base_patch16_384 62.373 63.693 37.627 36.307 86.453 86.707 13.547 13.293 356.46 86.86 448 384 1.000 bicubic -35.107 -34.147 -13.097 -12.963 +8 0
10 tf_efficientnet_b6_ns cait_m48_448 62.267 62.373 37.733 37.627 85.173 86.453 14.827 13.547 43.04 356.46 528 448 0.942 1.000 bicubic -35.363 -35.107 -14.407 -13.097 +1 +10
11 dm_nfnet_f6 tf_efficientnet_b6_ns 62.253 62.267 37.747 37.733 84.667 85.173 15.333 14.827 438.36 43.04 576 528 0.956 0.942 bicubic -35.477 -35.363 -14.913 -14.407 -3 +2
12 dm_nfnet_f5 vit_large_r50_s32_384 61.587 61.507 38.413 38.493 84.027 83.960 15.973 16.040 377.21 329.09 544 384 0.954 1.000 bicubic -36.013 -36.353 -15.523 -15.710 +1 -4
13 tf_efficientnetv2_m_in21ft1k 61.387 38.613 85.413 14.587 54.14 480 1.000 bicubic -36.093 -14.117 +5 +8
14 ig_resnext101_32x48d 61.013 38.987 83.347 16.653 828.41 224 0.875 bilinear -36.607 -16.353 -2 0
15 swin_large_patch4_window7_224 60.893 39.107 85.840 14.160 196.53 224 0.900 bicubic -36.757 -13.740 -5 -4
16 resnetv2_152x4_bitm 60.733 60.787 39.267 39.213 83.600 83.573 16.400 16.427 936.53 480 1.000 bilinear -36.757 -36.703 -16.000 -16.037 0 +3
17 dm_nfnet_f4 tf_efficientnet_b5_ns 60.720 60.320 39.280 39.680 83.427 84.493 16.573 15.507 316.07 30.39 512 456 0.951 0.934 bicubic -36.850 -37.180 -16.093 -15.137 -3 +1
18 tf_efficientnet_b5_ns dm_nfnet_f6 60.320 59.160 39.680 40.840 84.493 82.333 15.507 17.667 30.39 438.36 456 576 0.934 0.956 bicubic -37.180 -38.440 -15.137 -17.217 -3
19 dm_nfnet_f3 dm_nfnet_f5 58.373 58.573 41.627 41.427 82.360 82.773 17.640 17.227 254.92 377.21 416 544 0.940 0.954 bicubic -38.987 -38.967 -17.220 -16.797 +1 -2
20 ig_resnext101_32x32d dm_nfnet_f4 58.093 58.120 41.907 41.880 80.653 81.987 19.347 18.013 468.53 316.07 224 512 0.875 0.951 bilinear bicubic -39.267 -39.460 -19.027 -17.523 +1 -4
21 cait_m36_384 ig_resnext101_32x32d 57.840 58.093 42.160 41.907 84.813 80.653 15.187 19.347 271.22 468.53 384 224 1.000 0.875 bicubic bilinear -39.560 -39.267 -14.697 -19.027 -2 +2
22 resnetv2_152x2_bitm cait_m36_384 54.973 57.840 45.027 42.160 82.813 84.813 17.187 15.187 236.34 271.22 480 384 1.000 bilinear bicubic -42.177 -39.560 -16.777 -14.697 +7 0
23 vit_base_r50_s16_384 dm_nfnet_f3 54.627 55.827 45.373 44.173 81.213 80.947 18.787 19.053 98.95 254.92 384 416 1.000 0.940 bicubic -42.553 -41.523 -18.347 -18.613 +5 +1
24 cait_s36_384 vit_large_patch16_224 54.413 55.627 45.587 44.373 81.360 80.093 18.640 19.907 68.37 304.33 384 224 1.000 0.900 bicubic -42.917 -42.013 -18.170 -19.497 -2 -12
25 vit_large_patch16_384 vit_base_r50_s16_384 53.867 54.627 46.133 45.373 80.320 81.213 19.680 18.787 304.72 98.95 384 1.000 bicubic -43.243 -42.553 -19.320 -18.347 +7 +6
26 resnetv2_101x3_bitm cait_s36_384 53.813 54.413 46.187 45.587 81.093 81.360 18.907 18.640 387.93 68.37 480 384 1.000 bilinear bicubic -43.237 -42.917 -18.427 -18.170 +10 -1
27 tf_efficientnetv2_l resnetv2_101x3_bitm 53.187 54.027 46.813 45.973 79.133 81.027 20.867 18.973 118.52 387.93 480 448 1.000 bicubic bilinear -44.093 -42.963 -20.417 -18.463 -4 +14
28 ig_resnext101_32x16d resnetv2_152x2_bitm 53.067 54.013 46.933 45.987 76.907 82.000 23.093 18.000 194.03 236.34 224 448 0.875 1.000 bilinear -43.753 -42.997 -22.683 -17.590 +16 +11
29 swin_base_patch4_window7_224 tf_efficientnetv2_l 51.453 53.187 48.547 46.813 79.973 79.133 20.027 20.867 87.77 118.52 224 480 0.900 1.000 bicubic -45.797 -44.093 -19.557 -20.417 -5 -3
30 tf_efficientnet_b4_ns ig_resnext101_32x16d 51.213 53.067 48.787 46.933 79.187 76.907 20.813 23.093 19.34 194.03 380 224 0.922 0.875 bicubic bilinear -45.737 -43.753 -20.393 -22.683 +11 +19
31 swsl_resnext101_32x8d swin_base_patch4_window7_224 51.187 51.453 48.813 48.547 78.240 79.973 21.760 20.027 88.79 87.77 224 0.875 0.900 bilinear bicubic -46.013 -45.797 -21.260 -19.557 -4
32 dm_nfnet_f2 tf_efficientnet_b4_ns 50.773 51.213 49.227 48.787 78.013 79.187 21.987 20.813 193.78 19.34 352 380 0.920 0.922 bicubic -46.187 -45.737 -21.437 -20.393 +7 +12
33 vit_base_patch16_384 resnetv2_152x2_bit_teacher_384 50.613 51.187 49.387 48.813 78.200 78.493 21.800 21.507 86.86 236.34 384 1.000 bicubic -46.087 -45.643 -21.070 -20.957 +17 +15
34 cait_s24_384 swsl_resnext101_32x8d 49.733 51.187 50.267 48.813 78.733 78.240 21.267 21.760 47.06 88.79 384 224 1.000 0.875 bicubic bilinear -47.337 -46.013 -20.697 -21.300 +1 -5
35 vit_deit_base_distilled_patch16_384 cait_s24_384 49.333 49.733 50.667 50.267 79.253 78.733 20.747 21.267 87.63 47.06 384 1.000 bicubic -47.627 -47.337 -20.227 -20.697 +5 +2
36 tf_efficientnet_b8 deit_base_distilled_patch16_384 48.947 49.333 51.053 50.667 77.240 79.253 22.760 20.747 87.41 87.63 672 384 0.954 1.000 bicubic -48.253 -47.627 -22.330 -20.227 -11 +7
37 tf_efficientnetv2_s_in21ft1k tf_efficientnet_b8 48.507 48.947 51.493 51.053 77.880 77.240 22.120 22.760 21.46 87.41 384 672 1.000 0.954 bicubic -48.223 -48.253 -21.540 -22.330 +11 -9
38 resnest269e dm_nfnet_f2 48.187 48.920 51.813 51.080 74.333 77.160 25.667 22.840 110.93 193.78 416 352 0.928 0.920 bicubic -48.333 -48.100 -25.017 -22.280 +24 0
39 resnetv2_50x3_bitm tf_efficientnetv2_s_in21ft1k 47.787 48.507 52.213 51.493 77.627 77.880 22.373 22.120 217.32 21.46 480 384 1.000 bilinear bicubic -48.983 -48.223 -21.803 -21.540 +6 +14
40 resnest269e 48.187 51.813 74.333 25.667 110.93 416 0.928 bicubic -48.333 -25.017 +30
41 resnetv2_50x3_bitm 47.293 52.707 77.333 22.667 217.32 448 1.000 bilinear -49.417 -22.217 +14
42 tf_efficientnet_b8_ap 46.893 53.107 76.507 23.493 87.41 672 0.954 bicubic -50.217 -23.153 -9
43 dm_nfnet_f1 efficientnetv2_rw_m 46.600 46.280 53.400 53.720 74.773 75.707 25.227 24.293 132.63 53.24 320 416 0.910 1.000 bicubic -50.320 -50.700 -24.617 -23.833 +1 -1
44 efficientnetv2_rw_m swsl_resnext101_32x16d 46.280 46.200 53.720 53.800 75.707 72.200 24.293 27.800 53.24 194.03 416 224 1.000 0.875 bicubic bilinear -50.700 -50.400 -23.833 -27.320 -4 +21
45 swsl_resnext101_32x16d vit_small_patch16_384 46.200 45.933 53.800 54.067 72.200 76.720 27.800 23.280 194.03 22.20 224 384 0.875 1.000 bilinear bicubic -50.400 -50.767 -27.320 -22.760 +14 +12
46 ecaresnet269d 45.893 54.107 75.133 24.867 102.09 352 1.000 bicubic -51.187 -24.337 -11
47 tf_efficientnetv2_m vit_small_r26_s32_384 45.533 45.720 54.467 54.280 74.533 76.067 25.467 23.933 54.14 36.47 480 384 1.000 bicubic -51.607 -50.960 -24.877 -23.503 -15 +14
48 tf_efficientnet_b7_ap tf_efficientnetv2_m 45.373 45.533 54.627 54.467 74.213 74.533 25.787 25.467 66.35 54.14 600 480 0.949 1.000 bicubic -51.827 -51.607 -25.327 -24.877 -20 -16
49 ig_resnext101_32x8d tf_efficientnet_b7_ap 45.320 45.373 54.680 54.627 70.867 74.213 29.133 25.787 88.79 66.35 224 600 0.875 0.949 bilinear bicubic -51.000 -51.827 -28.563 -25.287 +24 -19
50 resnest200e dm_nfnet_f1 44.147 45.333 55.853 54.667 73.467 74.107 26.533 25.893 70.20 132.63 320 0.909 0.910 bicubic -52.463 -51.587 -25.883 -25.303 +8 -5
51 cait_xs24_384 ig_resnext101_32x8d 43.947 45.320 56.053 54.680 75.187 70.867 24.813 29.133 26.67 88.79 384 224 1.000 0.875 bicubic bilinear -52.603 -51.000 -24.233 -28.563 +10 +30
52 tresnet_xl_448 eca_nfnet_l2 43.480 44.960 56.520 55.040 72.453 75.893 27.547 24.107 78.44 56.72 448 384 0.875 1.000 bilinear bicubic -52.490 -52.130 -26.677 -23.617 +34 -18
53 resnetrs420 resnest200e 43.147 44.147 56.853 55.853 70.453 73.467 29.547 26.533 191.89 70.20 416 320 1.000 0.909 bicubic -53.763 -52.463 -29.007 -25.883 -8 +11
54 tf_efficientnet_b7 cait_xs24_384 42.960 43.947 57.040 56.053 73.133 75.187 26.867 24.813 66.35 26.67 600 384 0.949 1.000 bicubic -54.050 -52.603 -26.387 -24.233 -15 +13
55 swsl_resnext101_32x4d tresnet_xl_448 41.560 43.480 58.440 56.520 71.760 72.453 28.240 27.547 44.18 78.44 224 448 0.875 bilinear -54.860 -52.490 -27.710 -26.677 +11 +41
56 tf_efficientnet_b6_ap vit_base_patch16_224 40.800 43.240 59.200 56.760 71.627 72.920 28.373 27.080 43.04 86.57 528 224 0.942 0.900 bicubic -56.280 -53.640 -27.993 -26.610 -20 -9
57 tresnet_l_448 resnetrs420 40.200 43.147 59.800 56.853 69.893 70.453 30.107 29.547 55.99 191.89 448 416 0.875 1.000 bilinear bicubic -55.660 -53.763 -29.227 -29.007 +37 -11
58 vit_deit_base_patch16_384 tf_efficientnet_b7 40.173 42.960 59.827 57.040 70.760 73.133 29.240 26.867 86.86 66.35 384 600 1.000 0.949 bicubic -55.977 -54.050 -28.380 -26.387 +22 -18
59 resnetrs350 vit_large_r50_s32_224 39.960 41.640 60.040 58.360 68.907 70.227 31.093 29.773 163.96 328.99 384 224 1.000 0.900 bicubic -56.800 -55.150 -30.463 -29.123 -10 -9
60 resnetv2_101x1_bitm swsl_resnext101_32x4d 39.307 41.560 60.693 58.440 71.493 71.760 28.507 28.240 44.54 44.18 480 224 1.000 0.875 bilinear -56.783 -54.860 -27.807 -27.710 +23 +14
61 vit_large_patch32_384 tf_efficientnet_b6_ap 38.933 40.800 61.067 59.200 68.920 71.627 31.080 28.373 306.63 43.04 384 528 1.000 0.942 bicubic -56.897 -56.280 -30.230 -27.993 +35 -25
62 resnet200d resmlp_big_24_224_in22ft1k 38.147 40.373 61.853 59.627 68.613 74.760 31.387 25.240 64.69 129.14 320 224 1.000 0.875 bicubic -58.573 -56.247 -30.717 -24.750 -11 +1
63 eca_nfnet_l1 tresnet_l_448 38.107 40.200 61.893 59.800 71.293 69.893 28.707 30.107 41.41 55.99 320 448 1.000 0.875 bicubic bilinear -58.593 -55.660 -28.217 -29.227 -10 +40
64 seresnet152d deit_base_patch16_384 37.640 40.173 62.360 59.827 69.480 70.760 30.520 29.240 66.84 86.86 320 384 1.000 bicubic -59.130 -55.977 -29.970 -28.380 -16 +22
65 twins_svt_large resnetrs350 37.200 39.960 62.800 60.040 69.227 68.907 30.773 31.093 99.27 163.96 224 384 0.900 1.000 bicubic -59.070 -56.800 -29.943 -30.463 +10 -13
66 efficientnetv2_rw_s vit_large_patch32_384 36.787 38.933 63.213 61.067 68.320 68.920 31.680 31.080 23.94 306.63 384 1.000 bicubic -59.753 -56.897 -31.040 -30.230 -4 +39
67 regnety_160 resnetv2_101x1_bitm 36.747 38.920 63.253 61.080 69.107 71.040 30.893 28.960 83.59 44.54 288 448 1.000 bicubic bilinear -59.603 -57.180 -30.223 -28.240 +3 +26
68 cait_xxs36_384 resnet200d 36.227 38.147 63.773 61.853 67.800 68.613 32.200 31.387 17.37 64.69 384 320 1.000 bicubic -59.623 -58.573 -31.290 -30.717 +27 -14
69 pit_b_distilled_224 seresnet152d 35.627 37.640 64.373 62.360 69.120 69.480 30.880 30.520 74.79 66.84 224 320 0.900 1.000 bicubic -61.053 -59.130 -30.230 -29.970 -14 -18
70 tf_efficientnet_b3_ns eca_nfnet_l1 35.520 37.533 64.480 62.467 67.773 70.947 32.227 29.053 12.23 41.41 300 320 0.904 1.000 bicubic -60.870 -59.167 -31.577 -28.343 -3 -14
71 vit_large_patch16_224 twins_svt_large 35.493 37.200 64.507 62.800 64.427 69.227 35.573 30.773 304.33 99.27 224 0.900 bicubic -60.457 -59.070 -34.813 -29.943 +16 +12
72 tf_efficientnet_b6 vit_base_patch32_384 35.213 37.080 64.787 62.920 67.720 69.760 32.280 30.240 43.04 88.30 528 384 0.942 1.000 bicubic -61.457 -59.410 -31.650 -29.650 -15 -1
73 resnetrs270 efficientnetv2_rw_s 35.013 36.787 64.987 63.213 65.480 68.320 34.520 31.680 129.86 23.94 352 384 1.000 bicubic -61.677 -59.753 -33.870 -31.040 -19 -5
74 tf_efficientnet_b5_ap regnety_160 34.787 36.747 65.213 63.253 67.493 69.107 32.507 30.893 30.39 83.59 456 288 0.934 1.000 bicubic -61.893 -59.603 -31.967 -30.223 -18 +4
75 vit_base_patch16_224_miil cait_xxs36_384 34.507 36.227 65.493 63.773 65.000 67.800 35.000 32.200 86.54 17.37 224 384 0.875 1.000 bilinear bicubic -61.953 -59.623 -34.300 -31.290 -10 +29
76 resnet152d pit_b_distilled_224 34.320 35.627 65.680 64.373 65.907 69.120 34.093 30.880 60.21 74.79 320 224 1.000 0.900 bicubic -62.040 -61.053 -33.483 -30.230 -7 -17
77 tresnet_m_448 tf_efficientnet_b3_ns 34.107 35.520 65.893 64.480 64.493 67.773 35.507 32.227 31.39 12.23 448 300 0.875 0.904 bilinear bicubic -60.883 -60.870 -34.487 -31.577 +64 -2
78 vit_base_patch32_384 tf_efficientnet_b6 33.613 35.213 66.387 64.787 65.240 67.720 34.760 32.280 88.30 43.04 384 528 1.000 0.942 bicubic -62.197 -61.457 -33.910 -31.650 +19 -16
79 twins_pcpvt_large resnetrs270 33.387 35.013 66.613 64.987 67.933 65.480 32.067 34.520 60.99 129.86 224 352 0.900 1.000 bicubic -62.763 -61.677 -31.247 -33.870 0 -21
80 pit_b_224 tf_efficientnet_b5_ap 33.173 34.787 66.827 65.213 62.320 67.493 37.680 32.507 73.76 30.39 224 456 0.900 0.934 bicubic -62.467 -61.893 -36.340 -31.967 +25 -20
81 twins_svt_base vit_base_patch16_224_miil 33.173 34.507 66.827 65.493 65.773 65.000 34.227 35.000 56.07 86.54 224 0.900 0.875 bicubic bilinear -62.987 -61.953 -33.507 -34.300 -5 -9
82 swsl_resnext50_32x4d resnet152d 33.013 34.320 66.987 65.680 65.067 65.907 34.933 34.093 25.03 60.21 224 320 0.875 1.000 bilinear bicubic -62.857 -62.040 -34.183 -33.483 +9 -5
83 ssl_resnext101_32x16d tresnet_m_448 32.600 34.107 67.400 65.893 64.000 64.493 36.000 35.507 194.03 31.39 224 448 0.875 bilinear -63.200 -60.883 -35.180 -34.487 +15 +69
84 swin_small_patch4_window7_224 resmlp_big_24_distilled_224 32.600 34.067 67.400 65.933 65.440 69.600 34.560 30.400 49.61 129.14 224 0.900 0.875 bicubic -63.310 -62.383 -33.580 -29.710 +5 -11
85 vit_base_patch16_224 twins_pcpvt_large 32.053 33.387 67.947 66.613 61.573 67.933 38.427 32.067 86.57 60.99 224 0.900 bicubic -63.277 -62.763 -37.427 -31.247 +33 +4
86 tf_efficientnet_b5 pit_b_224 31.840 33.173 68.160 66.827 65.293 62.320 34.707 37.680 30.39 73.76 456 224 0.934 0.900 bicubic -64.510 -62.467 -34.017 -36.340 -15 +27
87 resnest101e twins_svt_base 31.413 33.173 68.587 66.827 64.360 65.773 35.640 34.227 48.28 56.07 256 224 0.875 0.900 bilinear bicubic -64.447 -62.987 -34.850 -33.287 +5 -2
88 dm_nfnet_f0 resnetv2_152x2_bit_teacher 31.280 33.053 68.720 66.947 63.347 64.267 36.653 35.733 71.49 236.34 256 224 0.900 0.875 bicubic -64.860 -63.047 -35.893 -35.013 -7 +4
89 cait_s24_224 swsl_resnext50_32x4d 31.200 33.013 68.800 66.987 64.560 65.067 35.440 34.933 46.92 25.03 224 1.000 0.875 bicubic bilinear -65.180 -62.857 -34.590 -34.183 -21 +11
90 efficientnet_b4 ssl_resnext101_32x16d 30.867 32.600 69.133 67.400 64.600 64.000 35.400 36.000 19.34 194.03 384 224 1.000 0.875 bicubic bilinear -65.283 -63.200 -34.600 -35.180 -12 +16
91 resnetrs200 swin_small_patch4_window7_224 30.773 32.600 69.227 67.400 63.320 65.440 36.680 34.560 93.21 49.61 320 224 1.000 0.900 bicubic -65.757 -63.310 -36.030 -33.580 -28 +7
92 cait_xxs24_384 tf_efficientnet_b5 30.027 31.840 69.973 68.160 63.933 65.293 36.067 34.707 12.03 30.39 384 456 1.000 0.934 bicubic -65.233 -64.510 -35.027 -34.017 +30 -13
93 twins_pcpvt_base resnest101e 29.960 31.413 70.040 68.587 64.587 64.360 35.413 35.640 43.83 48.28 224 256 0.900 0.875 bicubic bilinear -65.830 -64.447 -34.543 -34.850 +6 +8
94 swsl_resnet50 cait_s24_224 29.867 31.200 70.133 68.800 63.853 64.560 36.147 35.440 25.56 46.92 224 0.875 1.000 bilinear bicubic -65.543 -65.180 -35.437 -34.590 +23 -18
95 vit_deit_base_distilled_patch16_224 efficientnet_b4 29.600 30.867 70.400 69.133 64.453 64.600 35.547 35.400 87.34 19.34 224 384 0.900 1.000 bicubic -66.490 -65.283 -34.737 -34.600 -11 -7
96 convit_base resnetrs200 29.520 30.773 70.480 69.227 61.787 63.320 38.213 36.680 86.54 93.21 224 320 0.875 1.000 bicubic -66.030 -65.757 -37.083 -36.030 +10 -27
97 ssl_resnext101_32x8d dm_nfnet_f0 29.040 30.547 70.960 69.453 60.973 62.867 39.027 37.133 88.79 71.49 224 256 0.875 0.900 bilinear bicubic -66.430 -65.603 -38.137 -36.383 +15 -10
98 tf_efficientnetv2_s cait_xxs24_384 29.040 30.027 70.960 69.973 61.213 63.933 38.787 36.067 21.46 12.03 384 1.000 bicubic -67.300 -65.233 -37.987 -35.027 -26 +33
99 resnet101d twins_pcpvt_base 28.987 29.960 71.013 70.040 62.053 64.587 37.947 35.413 44.57 43.83 320 224 1.000 0.900 bicubic -67.303 -65.830 -37.177 -34.543 -25 +8
100 swsl_resnet50 29.867 70.133 63.853 36.147 25.56 224 0.875 bilinear -65.543 -35.437 +26
101 deit_base_distilled_patch16_224 29.600 70.400 64.453 35.547 87.34 224 0.900 bicubic -66.490 -34.737 -7
102 convit_base 29.520 70.480 61.787 38.213 86.54 224 0.875 bicubic -66.030 -37.083 +13
103 ssl_resnext101_32x8d 29.040 70.960 60.973 39.027 88.79 224 0.875 bilinear -66.430 -38.137 +18
104 tf_efficientnetv2_s 29.040 70.960 61.213 38.787 21.46 384 1.000 bicubic -67.300 -37.987 -24
105 resnet101d 28.987 71.013 62.053 37.947 44.57 320 1.000 bicubic -67.303 -37.177 -23
106 resnetrs152 28.920 71.080 60.520 39.480 86.62 320 1.000 bicubic -67.660 -38.720 -40
107 coat_lite_small 27.547 72.453 58.547 41.453 19.84 224 0.900 bicubic -67.993 -40.313 +6 +9
108 vit_deit_base_patch16_224 deit_base_patch16_224 27.440 72.560 58.893 41.107 86.57 224 0.900 bicubic -68.000 -40.157 -39.947 +12 +14
109 resnetv2_50x1_bitm 27.347 27.293 72.653 72.707 63.547 62.853 36.453 37.147 25.55 480 448 1.000 bilinear -67.703 -67.717 -35.613 -36.207 +32 +40
110 nfnet_l0 vit_small_patch16_224 26.493 27.053 73.507 72.947 61.987 59.213 38.013 40.787 35.07 22.05 288 224 1.000 0.900 bicubic -69.597 -68.317 -37.273 -39.937 -22 +17
111 tf_efficientnet_b4 26.293 73.707 60.107 39.893 19.34 380 0.922 bicubic -69.607 -39.063 -15 -12
112 tf_efficientnet_b4_ap 26.240 73.760 60.227 39.773 19.34 380 0.922 bicubic -69.920 -38.833 -39.053 -29 -28
113 regnety_032 nfnet_l0 26.213 73.787 60.987 61.720 39.013 38.280 19.44 35.07 288 1.000 bicubic -69.757 -69.907 -38.203 -37.520 -22
114 ecaresnet50t regnety_032 26.133 26.213 73.867 73.787 60.027 60.987 39.973 39.013 25.57 19.44 320 288 0.950 1.000 bicubic -69.377 -69.757 -39.093 -38.203 +2 -19
115 ecaresnet101d ecaresnet50t 26.027 26.133 73.973 73.867 58.987 60.027 41.013 39.973 44.57 25.57 224 320 0.875 0.950 bicubic -69.503 -69.377 -40.143 -39.093 -1 +4
116 visformer_small ecaresnet101d 25.840 26.027 74.160 73.973 58.907 58.987 41.093 41.013 40.22 44.57 224 0.900 0.875 bicubic -69.650 -69.503 -39.993 -40.143 +1
117 coat_mini visformer_small 25.520 25.840 74.480 74.160 57.693 58.907 42.307 41.093 10.34 40.22 224 0.900 bicubic -69.450 -69.650 -41.087 -39.993 +31 +3
118 convit_small coat_mini 25.093 25.520 74.907 74.480 57.280 57.693 42.720 42.307 27.78 10.34 224 0.875 0.900 bicubic -70.107 -69.450 -41.620 -41.087 +13 +35
119 eca_nfnet_l0 resnetv2_50x1_bit_distilled 25.013 25.107 74.987 74.893 60.360 59.613 39.640 40.387 24.14 25.55 288 224 1.000 0.875 bicubic -70.917 -71.023 -38.850 -39.667 -25 -29
120 tnt_s_patch16_224 convit_small 24.733 25.093 75.267 74.907 58.187 57.280 41.813 42.720 23.76 27.78 224 0.900 0.875 bicubic -70.307 -70.107 -40.643 -41.620 +24 +14
121 ssl_resnext101_32x4d eca_nfnet_l0 24.173 24.827 75.827 75.173 57.413 60.093 42.587 39.907 44.18 24.14 224 288 0.875 1.000 bilinear bicubic -71.267 -71.123 -41.427 -39.117 0 -24
122 twins_svt_small tnt_s_patch16_224 24.133 24.733 75.867 75.267 57.147 58.187 42.853 41.813 24.06 23.76 224 0.900 bicubic -71.067 -70.307 -41.733 -40.693 +10 +24
123 tf_efficientnet_b2_ns ssl_resnext101_32x4d 24.013 24.173 75.987 75.827 57.293 57.413 42.707 42.587 9.11 44.18 260 224 0.890 0.875 bicubic bilinear -71.757 -71.267 -41.827 -41.717 -17 0
124 nasnetalarge twins_svt_small 23.493 24.133 76.507 75.867 55.027 57.147 44.973 42.853 88.75 24.06 331 224 0.911 0.900 bicubic -72.187 -71.067 -43.903 -41.733 -14 +11
125 levit_384 vit_small_r26_s32_224 23.440 24.080 76.560 75.920 56.387 56.213 43.613 43.787 39.13 36.43 224 0.900 bicubic -72.090 -71.550 -42.663 -42.977 -10 -11
126 pnasnet5large tf_efficientnet_b2_ns 23.333 24.013 76.667 75.987 53.640 57.293 46.360 42.707 86.06 9.11 331 260 0.911 0.890 bicubic -72.377 -71.757 -45.400 -41.827 -18
127 efficientnet_b3 vit_small_patch32_384 23.213 23.773 76.787 76.227 55.960 57.307 44.040 42.693 12.23 22.92 320 384 1.000 bicubic -72.497 -71.277 -42.960 -41.683 -18 +17
128 twins_pcpvt_small nasnetalarge 22.720 23.493 77.280 76.507 56.853 55.027 43.147 44.973 24.11 88.75 224 331 0.900 0.911 bicubic -72.490 -72.187 -42.027 -43.903 +2 -16
129 pit_s_distilled_224 levit_384 22.360 23.440 77.640 76.560 57.120 56.387 42.880 43.613 24.04 39.13 224 0.900 bicubic -72.880 -72.090 -41.930 -42.663 0 -11
130 tresnet_m pnasnet5large 21.680 23.333 78.320 76.667 53.840 53.640 46.160 46.360 31.39 86.06 224 331 0.875 0.911 bilinear bicubic -74.040 -72.377 -45.190 -45.280 -23 -19
131 swin_tiny_patch4_window7_224 efficientnet_b3 21.173 23.213 78.827 76.787 55.973 55.960 44.027 44.040 28.29 12.23 224 320 0.900 1.000 bicubic -73.967 -72.497 -42.877 -43.080 +4 -21
132 resmlp_big_24_224 22.853 77.147 54.307 45.693 129.14 224 0.875 bicubic -71.807 -44.173 +38
133 twins_pcpvt_small 22.720 77.280 56.853 43.147 24.11 224 0.900 bicubic -72.490 -42.027 0
134 vit_base_patch32_224 22.400 77.600 53.933 46.067 88.22 224 0.900 bicubic -72.600 -45.097 +17
135 pit_s_distilled_224 22.360 77.640 57.120 42.880 24.04 224 0.900 bicubic -72.880 -41.930 -3
136 tresnet_m 21.680 78.320 53.840 46.160 31.39 224 0.875 bilinear -74.040 -45.190 -27
137 swin_tiny_patch4_window7_224 21.173 78.827 55.973 44.027 28.29 224 0.900 bicubic -73.967 -42.877 +1
138 pit_s_224 21.080 78.920 53.573 46.427 23.46 224 0.900 bicubic -73.510 -45.137 +37
139 resnet51q 20.960 79.040 55.720 44.280 35.70 288 1.000 bilinear -74.900 -43.400 -34 -37
140 resnetrs101 20.893 79.107 52.813 47.187 63.62 288 0.940 bicubic -74.537 -46.217 -12 -15
141 vit_deit_small_distilled_patch16_224 deit_small_distilled_patch16_224 20.707 79.293 55.133 44.867 22.44 224 0.900 bicubic -74.003 -43.897 +26
142 resnest50d_4s2x40d 20.387 79.613 52.800 47.200 30.42 224 0.875 bicubic -74.573 -46.270 +13 +12
143 ssl_resnext50_32x4d 20.000 80.000 53.613 46.387 25.03 224 0.875 bilinear -74.870 -45.267 +18
144 tresnet_xl 19.640 80.360 53.133 46.867 78.44 224 0.875 bilinear -75.800 -45.997 -45.917 -19 -20
145 gluon_senet154 19.307 80.693 47.533 52.467 115.09 224 0.875 bicubic -75.613 -51.227 +13 +12
146 rexnet_200 19.227 80.773 52.720 47.280 16.37 224 0.875 bicubic -75.713 -46.290 +10 +9
147 levit_256 19.200 80.800 50.067 49.933 18.89 224 0.900 bicubic -75.810 -48.843 -48.823 +5 +1
148 repvgg_b3 19.107 80.893 50.253 49.747 123.09 224 0.875 bilinear -75.463 -48.527 +28
149 legacy_senet154 19.053 80.947 47.947 52.053 115.09 224 0.875 bilinear -76.017 -50.883 -3 -6
150 mixer_b16_224_miil 19.053 80.947 51.227 48.773 59.88 224 0.875 bilinear -76.247 -47.653 -18 -21
151 vit_deit_small_patch16_224 deit_small_patch16_224 18.907 81.093 51.413 48.587 22.05 224 0.900 bicubic -75.493 -47.277 +39 +41
152 gluon_seresnext101_64x4d 18.907 81.093 49.187 50.813 88.23 224 0.875 bicubic -76.023 -49.643 +6 +4
153 tf_efficientnet_b1_ns 18.693 81.307 51.667 48.333 7.79 240 0.882 bicubic -76.477 -47.443 -14 -17
154 seresnext50_32x4d 18.360 81.640 50.973 49.027 27.56 224 0.875 bicubic -76.680 -47.907 -47.957 -5 -9
155 cait_xxs36_224 18.253 81.747 49.427 50.573 17.30 224 1.000 bicubic -76.007 -49.033 -49.293 +48 +47
156 ecaresnet50d 18.227 81.773 51.893 51.880 48.107 48.120 25.58 224 0.875 bicubic -76.403 -46.997 -47.010 +14 +15
157 tf_efficientnet_lite4 18.133 81.867 50.707 49.293 13.01 380 0.920 bilinear -76.757 -48.313 -48.143 +3 +2
158 resnest50d_1s4x24d vit_tiny_patch16_384 17.693 18.027 82.307 81.973 49.800 50.307 50.200 49.693 25.68 5.79 224 384 0.875 1.000 bicubic -77.057 -75.623 -49.180 -48.293 +6 +97
159 gluon_seresnext101_32x4d resnest50d_1s4x24d 17.373 17.693 82.627 82.307 46.373 49.800 53.627 50.200 48.96 25.68 224 0.875 bicubic -77.547 -77.057 -52.437 -49.180 0 +5
160 resnest50d 17.373 82.627 50.707 49.293 27.48 224 0.875 bilinear -77.457 -48.173 +2 +1
161 efficientnet_el gluon_seresnext101_32x4d 17.347 17.373 82.653 82.627 49.987 46.373 50.013 53.627 10.59 48.96 300 224 0.904 0.875 bicubic -77.773 -77.547 -49.003 -52.437 -19 -2
162 inception_v4 efficientnet_el 17.267 17.347 82.733 82.653 45.920 49.987 54.080 50.013 42.68 10.59 299 300 0.875 0.904 bicubic -77.113 -77.773 -52.660 -49.003 +30 -23
163 tf_efficientnet_b3_ap inception_v4 17.187 17.267 82.813 82.733 49.680 45.920 50.320 54.080 12.23 42.68 300 299 0.904 0.875 bicubic -78.133 -77.113 -49.220 -52.660 -32 +31
164 xception71 tf_efficientnet_b3_ap 17.000 17.187 83.000 82.813 45.520 49.680 54.480 50.320 42.34 12.23 299 300 0.903 0.904 bicubic -77.280 -78.133 -53.120 -49.220 +34 -36
165 tf_efficientnet_b3 17.000 83.000 49.267 50.733 12.23 300 0.904 bicubic -78.010 -49.623 -49.643 -13 -15
166 gluon_resnext101_64x4d xception71 16.853 17.000 83.147 83.000 44.213 45.520 55.787 54.480 83.46 42.34 224 299 0.875 0.903 bicubic -77.817 -77.280 -54.437 -53.120 +2 +35
167 tf_efficientnetv2_b3 resmlp_36_distilled_224 16.667 16.880 83.333 83.120 48.680 51.467 51.320 48.533 14.36 44.69 300 224 0.904 0.875 bicubic -78.493 -78.010 -50.140 -47.553 -27 -7
168 tresnet_l gluon_resnext101_64x4d 16.600 16.853 83.400 83.147 49.920 44.213 50.080 55.787 55.99 83.46 224 0.875 bilinear bicubic -78.690 -77.817 -49.090 -54.437 -35 0
169 gluon_resnet152_v1d tf_efficientnetv2_b3 16.573 16.667 83.427 83.333 44.280 48.680 55.720 51.320 60.21 14.36 224 300 0.875 0.904 bicubic -78.167 -78.493 -54.460 -50.140 -4 -32
170 gluon_resnet152_v1s tresnet_l 16.573 16.600 83.427 83.400 44.533 49.920 55.467 50.080 60.32 55.99 224 0.875 bicubic bilinear -78.467 -78.690 -54.397 -49.090 -22 -40
171 inception_resnet_v2 gluon_resnet152_v1d 16.573 83.427 44.960 44.280 55.040 55.720 55.84 60.21 299 224 0.897 0.875 bicubic -77.967 -78.167 -53.830 -54.460 +7 -6
172 gluon_xception65 gluon_resnet152_v1s 16.440 16.573 83.560 83.427 46.027 44.533 53.973 55.467 39.92 60.32 299 224 0.903 0.875 bicubic -77.820 -78.467 -52.693 -54.297 +30 -25
173 gernet_l inception_resnet_v2 16.373 16.573 83.627 83.427 47.213 44.960 52.787 55.040 31.08 55.84 256 299 0.875 0.897 bilinear bicubic -78.717 -77.967 -51.687 -53.830 -30 +6
174 wide_resnet50_2 resmlp_24_distilled_224 16.280 16.467 83.720 83.533 48.347 50.387 51.653 49.613 68.88 30.02 224 0.875 bicubic -78.800 -77.993 -50.623 -48.353 -29 +13
175 ens_adv_inception_resnet_v2 gluon_xception65 16.240 16.440 83.760 83.560 43.640 46.027 56.360 53.973 55.84 39.92 299 0.897 0.903 bicubic -77.920 -77.820 -55.000 -52.543 +39 +28
176 repvgg_b3g4 gernet_l 16.213 16.373 83.787 83.627 47.653 47.213 52.347 52.787 83.83 31.08 224 256 0.875 bilinear -78.307 -78.717 -51.317 -51.687 +5 -36
177 xception65 wide_resnet50_2 16.027 16.280 83.973 83.720 43.773 48.347 56.227 51.653 39.92 68.88 299 224 0.903 0.875 bicubic -77.733 -78.800 -54.597 -50.623 +65 -35
178 ssl_resnet50 ens_adv_inception_resnet_v2 15.960 16.240 84.040 83.760 49.467 43.640 50.533 56.360 25.56 55.84 224 299 0.875 0.897 bilinear bicubic -78.490 -77.920 -49.453 -54.960 +9 +38
179 regnety_320 repvgg_b3g4 15.627 16.213 84.373 83.787 44.827 47.653 55.173 52.347 145.05 83.83 224 0.875 bicubic bilinear -78.913 -78.307 -54.023 -51.317 0 +3
180 ecaresnet101d_pruned xception65 15.600 16.027 84.400 83.973 48.027 43.773 51.973 56.227 24.88 39.92 224 299 0.875 0.903 bicubic -79.480 -77.733 -50.953 -54.597 -36 +66
181 ecaresnet26t ssl_resnet50 15.467 15.960 84.533 84.040 47.920 49.467 52.080 50.533 16.01 25.56 320 224 0.950 0.875 bicubic bilinear -78.843 -78.490 -50.800 -49.453 +16 +8
182 coat_tiny regnety_320 15.413 15.627 84.587 84.373 45.600 44.827 54.400 55.173 5.50 145.05 224 0.900 0.875 bicubic -78.177 -78.913 -52.830 -54.023 +72 -2
183 skresnext50_32x4d ecaresnet101d_pruned 15.373 15.600 84.627 84.400 44.493 48.027 55.507 51.973 27.48 24.88 224 0.875 bicubic -78.887 -79.480 -54.077 -50.953 +18 -42
184 cait_xxs24_224 ecaresnet26t 15.160 15.467 84.840 84.533 44.960 47.920 55.040 52.080 11.96 16.01 224 320 1.000 0.950 bicubic -78.440 -78.843 -53.480 -50.720 +69 +16
185 ecaresnetlight coat_tiny 15.160 15.413 84.840 84.587 45.827 45.600 54.173 54.400 30.16 5.50 224 0.875 0.900 bicubic -79.610 -78.177 -52.973 -52.830 -22 +74
186 skresnext50_32x4d 15.373 84.627 44.493 55.507 27.48 224 0.875 bicubic -78.887 -53.967 +19
187 ecaresnetlight 15.160 84.840 45.827 54.173 30.16 224 0.875 bicubic -79.610 -52.973 -25
188 cait_xxs24_224 15.160 84.840 44.960 55.040 11.96 224 1.000 bicubic -78.440 -53.480 +71
189 levit_192 14.893 85.107 44.920 55.080 10.95 224 0.900 bicubic -79.277 -53.620 +25
190 rexnet_150 14.720 85.280 46.907 53.093 9.73 224 0.875 bicubic -79.760 -51.883 -51.903 -2 -5
191 coat_lite_mini 14.507 85.493 44.507 55.493 11.01 224 0.900 bicubic -79.553 -54.053 +35
192 efficientnet_el_pruned 14.480 85.520 46.120 53.880 10.59 300 0.904 bicubic -79.920 -52.620 +1
193 efficientnet_b2 14.440 85.560 46.080 53.920 9.11 288 1.000 bicubic -80.170 -52.630 -17 -19
194 legacy_seresnext101_32x4d 14.147 85.853 42.973 57.027 48.96 224 0.875 bilinear -80.223 -55.677 +2 +1
195 seresnet50 14.147 85.853 45.467 54.533 28.09 224 0.875 bicubic -80.403 -53.283 -15 -17
196 gernet_m 14.013 85.987 46.067 53.933 21.14 224 0.875 bilinear -80.607 -52.793 -21 -23
197 gluon_resnext101_32x4d 13.867 86.133 41.653 58.347 44.18 224 0.875 bicubic -80.663 -56.977 -14 -16
198 gluon_seresnext50_32x4d 13.600 86.400 43.760 56.240 27.56 224 0.875 bicubic -80.740 -54.850 0 -1
199 repvgg_b2g4 resmlp_36_224 13.440 13.507 86.560 86.493 43.787 46.693 56.213 53.307 61.76 44.69 224 0.875 bilinear bicubic -80.420 -80.683 -54.803 -51.647 +39 +12
200 ese_vovnet39b repvgg_b2g4 13.320 13.440 86.680 86.560 43.813 43.787 56.187 56.213 24.57 61.76 224 0.875 bicubic bilinear -80.770 -80.420 -54.847 -54.863 +24 +38
201 regnetx_320 ese_vovnet39b 13.307 13.320 86.693 86.680 40.720 43.813 59.280 56.187 107.81 24.57 224 0.875 bicubic -81.153 -80.770 -58.020 -54.847 -12 +23
202 regnetx_320 13.307 86.693 40.720 59.280 107.81 224 0.875 bicubic -81.153 -58.050 -14
203 pit_xs_distilled_224 13.240 86.760 44.573 55.427 11.00 224 0.900 bicubic -80.570 -54.097 +40
204 efficientnet_b3_pruned 13.173 86.827 45.213 54.787 9.86 300 0.904 bicubic -81.457 -53.547 -29 -32
205 gluon_resnet101_v1d 13.160 86.840 41.493 58.507 44.57 224 0.875 bicubic -81.060 -57.057 +6 +4
206 mixnet_xl 13.120 86.880 43.253 56.747 11.90 224 0.875 bicubic -81.070 -55.087 -55.407 +7 +6
207 nf_regnet_b1 13.027 12.947 86.973 87.053 44.413 44.400 55.587 55.600 10.22 288 0.900 bicubic -81.103 -81.173 -54.217 -54.230 +15 +14
208 pit_xs_224 12.813 87.187 42.840 57.160 10.62 224 0.900 bicubic -80.297 -55.470 -55.550 +82 +84
209 gluon_inception_v3 12.640 87.360 40.493 59.507 23.83 299 0.875 bicubic -80.820 -58.037 -58.077 +59
210 coat_lite_tiny 12.520 87.480 41.160 58.840 5.72 224 0.900 bicubic -80.720 -57.100 +73 +74
211 regnety_120 resmlp_24_224 12.427 12.493 87.573 87.507 42.200 43.427 57.800 56.573 51.82 30.02 224 0.875 bicubic -82.053 -81.527 -56.610 -54.903 -23 +16
212 efficientnet_em regnety_120 12.360 12.427 87.640 87.573 43.880 42.200 56.120 57.800 6.90 51.82 240 224 0.882 0.875 bicubic -81.480 -82.053 -54.930 -56.480 +28 -28
213 nf_resnet50 efficientnet_em 12.320 12.360 87.680 87.640 46.760 43.880 53.240 56.120 25.56 6.90 288 240 0.940 0.882 bicubic -82.270 -81.480 -52.050 -54.930 -35 +27
214 vit_small_patch16_224 hrnet_w64 12.147 12.027 87.853 87.973 40.320 40.787 59.680 59.213 48.75 128.06 224 0.900 0.875 bicubic bilinear -80.613 -81.983 -57.610 -57.823 +93 +15
215 hrnet_w64 cspdarknet53 12.027 12.013 87.973 87.987 40.787 43.253 59.213 56.747 128.06 27.64 224 256 0.875 0.887 bilinear -81.983 -82.647 -57.823 -55.547 +14 -46
216 cspdarknet53 gluon_resnet101_v1s 12.013 11.880 87.987 88.120 43.253 40.973 56.747 59.027 27.64 44.67 256 224 0.887 0.875 bilinear bicubic -82.647 -82.840 -55.547 -57.847 -43 -50
217 gluon_resnet101_v1s gmixer_24_224 11.880 11.853 88.120 88.147 40.973 37.773 59.027 62.227 44.67 24.72 224 0.875 bicubic -82.840 -80.977 -57.847 -60.407 -47 +89
218 resnet50d nf_resnet50 11.693 11.760 88.307 88.240 42.453 45.933 57.547 54.067 25.58 25.56 224 288 0.875 0.940 bicubic -82.567 -82.800 -56.267 -52.857 -14 -41
219 dpn92 resnet50d 11.627 11.693 88.373 88.307 40.267 42.453 59.733 57.547 37.67 25.58 224 0.875 bicubic -82.603 -82.567 -58.463 -56.267 -10 -15
220 dpn92 11.627 88.373 40.267 59.733 37.67 224 0.875 bicubic -82.603 -58.463 -13
221 xception41 11.600 88.400 39.133 60.867 26.97 299 0.903 bicubic -81.830 -59.297 +50
222 dla102x2 11.573 88.427 41.293 58.707 41.28 224 0.875 bilinear -82.377 -57.197 +10 +9
223 levit_128 vit_small_patch32_224 11.427 11.480 88.573 88.520 40.267 39.573 59.733 60.427 9.21 22.88 224 0.900 bicubic -81.913 -80.560 -58.113 -58.657 +52 +119
224 regnety_080 levit_128 11.413 11.427 88.587 88.573 40.613 40.267 59.387 59.733 39.18 9.21 224 0.875 0.900 bicubic -82.757 -81.913 -58.067 -58.113 -7 +51
225 efficientnet_b2_pruned regnety_080 11.360 11.413 88.640 88.587 42.027 40.613 57.973 59.387 8.31 39.18 260 224 0.890 0.875 bicubic -82.780 -82.757 -56.503 -58.067 -4 -10
226 tf_efficientnet_el efficientnet_b2_pruned 11.333 11.360 88.667 88.640 42.040 42.027 57.960 57.973 10.59 8.31 300 260 0.904 0.890 bicubic -83.077 -82.780 -56.670 -56.503 -32 -7
227 gluon_resnet152_v1c tf_efficientnet_el 11.093 11.333 88.907 88.667 37.120 42.040 62.880 57.960 60.21 10.59 224 300 0.875 0.904 bicubic -83.067 -83.077 -61.480 -56.670 -9 -36
228 dpn107 gluon_resnet152_v1c 11.080 11.093 88.920 88.907 38.693 37.120 61.307 62.880 86.92 60.21 224 0.875 bicubic -83.230 -83.067 -59.787 -61.520 -27 -11
229 hrnet_w48 vit_tiny_r_s16_p8_384 11.080 11.093 88.920 88.907 40.320 39.987 59.680 60.013 77.47 6.36 224 384 0.875 1.000 bilinear bicubic -82.840 -80.947 -58.290 -58.303 +5 +114
230 ecaresnet50d_pruned dpn107 11.027 11.080 88.973 88.920 41.947 38.693 58.053 61.307 19.94 86.92 224 0.875 bicubic -83.193 -83.230 -56.783 -60.027 -19 -31
231 tf_efficientnetv2_b2 hrnet_w48 11.027 11.080 88.973 88.920 39.760 40.320 60.240 59.680 10.10 77.47 260 224 0.890 0.875 bicubic bilinear -83.393 -82.840 -58.810 -58.290 -38 +2
232 adv_inception_v3 ecaresnet50d_pruned 11.013 11.027 88.987 88.973 36.720 41.947 63.280 58.053 23.83 19.94 299 224 0.875 bicubic -81.867 -83.193 -61.420 -56.783 +70 -24
233 tf_efficientnet_b0_ns tf_efficientnetv2_b2 10.933 11.027 89.067 88.973 40.067 39.760 59.933 60.240 5.29 10.10 224 260 0.875 0.890 bicubic -82.697 -83.393 -58.573 -58.810 +23 -43
234 tf_inception_v3 adv_inception_v3 10.840 11.013 89.160 88.987 36.853 36.720 63.147 63.280 23.83 299 0.875 bicubic -82.480 -81.867 -61.177 -61.420 +44 +68
235 resnext50_32x4d tf_efficientnet_b0_ns 10.800 10.933 89.200 89.067 40.307 40.067 59.693 59.933 25.03 5.29 224 0.875 bicubic -83.300 -82.697 -58.043 -58.573 -10 +21
236 dpn131 tf_inception_v3 10.787 10.840 89.213 89.160 37.200 36.853 62.800 63.147 79.25 23.83 224 299 0.875 bicubic -83.223 -82.480 -61.520 -61.177 -7 +42
237 tf_efficientnet_b2_ap resnext50_32x4d 10.533 10.800 89.467 89.200 40.107 40.307 59.893 59.693 9.11 25.03 260 224 0.890 0.875 bicubic -83.957 -83.300 -58.513 -58.043 -50 -14
238 resnext50d_32x4d dpn131 10.413 10.787 89.587 89.213 39.733 37.200 60.267 62.800 25.05 79.25 224 0.875 bicubic -83.767 -83.223 -58.837 -61.520 -23 -10
239 rexnet_130 tf_efficientnet_b2_ap 10.400 10.533 89.600 89.467 41.547 40.107 58.453 59.893 7.56 9.11 224 260 0.875 0.890 bicubic -83.500 -83.957 -56.853 -58.513 -4 -56
240 hrnet_w44 resnext50d_32x4d 10.320 10.413 89.680 89.587 39.507 39.733 60.493 60.267 67.06 25.05 224 0.875 bilinear bicubic -83.230 -83.767 -59.193 -58.837 +21 -27
241 resnext101_32x8d rexnet_130 10.187 10.400 89.813 89.600 37.827 41.547 62.173 58.453 88.79 7.56 224 0.875 bilinear bicubic -83.643 -83.500 -60.753 -56.853 +1 -7
242 regnetx_160 hrnet_w44 10.147 10.320 89.853 89.680 38.000 39.507 62.000 60.493 54.28 67.06 224 0.875 bicubic bilinear -83.973 -83.230 -60.750 -59.193 -18 +19
243 dpn98 resnext101_32x8d 10.133 10.187 89.867 89.813 36.587 37.827 63.413 62.173 61.57 88.79 224 0.875 bicubic bilinear -83.997 -83.643 -61.983 -60.753 -21 -2
244 cspresnext50 regnetx_160 10.120 10.147 89.880 89.853 40.373 38.000 59.627 62.000 20.57 54.28 224 0.875 bilinear bicubic -84.360 -83.973 -58.307 -60.750 -56 -22
245 legacy_seresnext50_32x4d dpn98 10.107 10.133 89.893 89.867 39.200 36.587 60.800 63.413 27.56 61.57 224 0.875 bilinear bicubic -83.623 -83.997 -59.380 -61.983 +6 -25
246 resnetrs50 cspresnext50 10.093 10.120 89.907 89.880 37.507 40.373 62.493 59.627 35.69 20.57 224 0.910 0.875 bicubic bilinear -84.217 -84.360 -61.133 -58.417 -43 -60
247 inception_v3 legacy_seresnext50_32x4d 10.027 10.107 89.973 89.893 35.227 39.200 64.773 60.800 23.83 27.56 299 224 0.875 bicubic bilinear -82.693 -83.623 -62.743 -59.380 +65 +3
248 efficientnet_b1 resnetrs50 10.013 10.093 89.987 89.907 37.547 37.507 62.453 62.493 7.79 35.69 256 224 1.000 0.910 bicubic -83.237 -84.217 -60.743 -60.973 +35 -50
249 xception inception_v3 9.987 10.027 90.013 89.973 38.027 35.227 61.973 64.773 22.86 23.83 299 0.897 0.875 bicubic -83.473 -82.693 -60.543 -62.743 +19 +64
250 regnety_064 efficientnet_b1 9.947 10.013 90.053 89.987 39.067 37.547 60.933 62.453 30.58 7.79 224 256 0.875 1.000 bicubic -84.203 -83.237 -59.663 -60.743 -30 +33
251 dpn68b xception 9.787 9.987 90.213 90.013 38.053 38.027 61.947 61.973 12.61 22.86 224 299 0.875 0.897 bicubic -83.903 -83.473 -60.457 -60.503 +2 +18
252 gluon_resnet152_v1b regnety_064 9.747 9.947 90.253 90.053 36.067 39.067 63.933 60.933 60.19 30.58 224 0.875 bicubic -84.333 -84.203 -62.383 -59.663 -25 -34
253 tf_efficientnet_lite3 dpn68b 9.667 9.787 90.333 90.213 39.000 38.053 61.000 61.947 8.20 12.61 300 224 0.904 0.875 bilinear bicubic -84.533 -83.903 -59.640 -60.307 -40 0
254 tf_efficientnet_b2 gluon_resnet152_v1b 9.653 9.747 90.347 90.253 38.880 36.067 61.120 63.933 9.11 60.19 260 224 0.890 0.875 bicubic -84.707 -84.333 -59.730 -62.383 -55 -29
255 tf_efficientnet_cc_b1_8e tf_efficientnet_lite3 9.573 9.667 90.427 90.333 36.773 39.000 63.227 61.000 39.72 8.20 240 300 0.882 0.904 bicubic bilinear -84.327 -84.533 -61.487 -59.640 -19 -45
256 res2net101_26w_4s tf_efficientnet_b2 9.520 9.653 90.480 90.347 35.027 38.880 64.973 61.120 45.21 9.11 224 260 0.875 0.890 bilinear bicubic -84.230 -84.707 -63.283 -59.730 -7 -60
257 legacy_seresnet152 tf_efficientnet_cc_b1_8e 9.347 9.573 90.653 90.427 37.413 36.773 62.587 63.227 66.82 39.72 224 240 0.875 0.882 bilinear bicubic -84.053 -84.327 -60.937 -61.487 +16 -22
258 cspresnet50 res2net101_26w_4s 9.253 9.520 90.747 90.480 39.640 35.027 60.360 64.973 21.62 45.21 256 224 0.887 0.875 bilinear -84.487 -84.230 -59.000 -63.283 -8 -10
259 hrnet_w40 legacy_seresnet152 9.227 9.347 90.773 90.653 36.893 37.413 63.107 62.587 57.56 66.82 224 0.875 bilinear -84.263 -84.053 -61.687 -60.937 +8 +14
260 regnetx_120 cspresnet50 9.187 9.253 90.813 90.747 37.200 39.640 62.800 60.360 46.11 21.62 224 256 0.875 0.887 bicubic bilinear -85.053 -84.487 -61.450 -59.000 -51 -11
261 seresnext26d_32x4d hrnet_w40 9.147 9.227 90.853 90.773 36.840 36.893 63.160 63.107 16.81 57.56 224 0.875 bicubic bilinear -83.553 -84.263 -61.310 -61.687 +52 +6
262 resnest26d regnetx_120 9.080 9.187 90.920 90.813 37.853 37.200 62.147 62.800 17.07 46.11 224 0.875 bilinear bicubic -84.250 -85.053 -60.777 -61.450 +15 -56
263 regnety_040 seresnext26d_32x4d 9.000 9.147 91.000 90.853 37.053 36.840 62.947 63.160 20.65 16.81 224 0.875 bicubic -84.860 -83.553 -61.597 -61.310 -24 +51
264 gluon_resnext50_32x4d resnest26d 8.947 9.080 91.053 90.920 36.333 37.853 63.667 62.147 25.03 17.07 224 0.875 bicubic bilinear -84.863 -84.250 -62.057 -60.777 -19 +13
265 rexnet_100 vit_tiny_patch16_224 8.893 9.067 91.107 90.933 36.373 34.573 63.627 65.427 4.80 5.72 224 0.875 0.900 bicubic -84.137 -82.693 -61.817 -63.467 +31 +91
266 seresnext26t_32x4d regnety_040 8.893 9.000 91.107 91.000 36.907 37.053 63.093 62.947 16.81 20.65 224 0.875 bicubic -83.927 -84.860 -61.463 -61.537 +39 -27
267 mixnet_l gluon_resnext50_32x4d 8.853 8.947 91.147 91.053 36.187 36.333 63.813 63.667 7.33 25.03 224 0.875 bicubic -84.597 -84.863 -62.033 -62.077 +3 -25
268 mobilenetv3_large_100_miil rexnet_100 8.840 8.893 91.160 91.107 32.973 36.373 67.027 63.627 5.48 4.80 224 0.875 bilinear bicubic -83.420 -84.137 -64.667 -61.817 +64 +28
269 convit_tiny seresnext26t_32x4d 8.840 8.893 91.160 91.107 34.360 36.907 65.640 63.093 5.71 16.81 224 0.875 bicubic -81.790 -83.927 -63.380 -61.463 +111 +38
270 levit_128s mixnet_l 8.653 8.853 91.347 91.147 33.107 36.187 66.893 63.813 7.78 7.33 224 0.900 0.875 bicubic -83.317 -84.597 -64.953 -62.033 +73 0
271 dla169 convit_tiny 8.640 8.840 91.360 91.160 36.040 34.360 63.960 65.640 53.39 5.71 224 0.875 bilinear bicubic -84.700 -81.790 -62.560 -63.380 +3 +113
272 hrnet_w30 mobilenetv3_large_100_miil 8.613 8.840 91.387 91.160 37.040 32.973 62.960 67.027 37.71 5.48 224 0.875 bilinear -84.587 -83.420 -61.370 -64.667 +13 +62
273 mixer_b16_224 levit_128s 8.600 8.653 91.400 91.347 29.413 33.107 70.587 66.893 59.88 7.78 224 0.875 0.900 bicubic -83.270 -83.317 -67.837 -64.953 +75 +74
274 legacy_seresnet101 dla169 8.533 8.640 91.467 91.360 36.013 36.040 63.987 63.960 49.33 53.39 224 0.875 bilinear -84.747 -84.700 -62.497 -62.560 +8 0
275 tf_efficientnet_b1_ap hrnet_w30 8.453 8.613 91.547 91.387 35.253 37.040 64.747 62.960 7.79 37.71 240 224 0.882 0.875 bicubic bilinear -85.237 -84.587 -63.107 -61.370 -21 +10
276 repvgg_b2 mixer_b16_224 8.427 8.600 91.573 91.400 36.467 29.413 63.533 70.587 89.02 59.88 224 0.875 bilinear bicubic -85.073 -83.270 -62.263 -67.837 -11 +76
277 resnetblur50 legacy_seresnet101 8.240 8.533 91.760 91.467 37.400 36.013 62.600 63.987 25.56 49.33 224 0.875 bicubic bilinear -85.720 -84.747 -61.190 -62.497 -46 +5
278 dla102x tf_efficientnet_b1_ap 8.200 8.453 91.800 91.547 37.013 35.253 62.987 64.747 26.31 7.79 224 240 0.875 0.882 bilinear bicubic -85.320 -85.237 -61.497 -63.257 -14 -26
279 hrnet_w32 repvgg_b2 8.040 8.427 91.960 91.573 37.507 36.467 62.493 63.533 41.23 89.02 224 0.875 bilinear -85.490 -85.073 -60.943 -62.263 -16 -14
280 res2net50_26w_8s resmlp_12_distilled_224 8.000 8.307 92.000 91.693 33.853 36.853 66.147 63.147 48.40 15.35 224 0.875 bilinear bicubic -85.540 -84.523 -64.407 -61.287 -18 +25
281 gluon_resnet101_v1c resnetblur50 7.987 8.240 92.013 91.760 33.360 37.400 66.640 62.600 44.57 25.56 224 0.875 bicubic -85.683 -85.720 -65.060 -61.190 -26 -51
282 gluon_resnet50_v1d dla102x 7.920 8.200 92.080 91.800 35.000 37.013 65.000 62.987 25.58 26.31 224 0.875 bicubic bilinear -85.850 -85.320 -63.390 -61.497 -36 -18
283 dla60_res2next hrnet_w32 7.787 8.040 92.213 91.960 34.987 37.507 65.013 62.493 17.03 41.23 224 0.875 bilinear -85.393 -85.490 -63.423 -60.943 +4 -20
284 res2net50_26w_8s 8.000 92.000 33.853 66.147 48.40 224 0.875 bilinear -85.540 -64.407 -22
285 gluon_resnet101_v1c 7.987 92.013 33.360 66.640 44.57 224 0.875 bicubic -85.683 -65.060 -31
286 gluon_resnet50_v1d 7.920 92.080 35.000 65.000 25.58 224 0.875 bicubic -85.850 -63.390 -41
287 dla60_res2next 7.787 92.213 34.987 65.013 17.03 224 0.875 bilinear -85.393 -63.423 0
288 densenetblur121d 7.720 92.280 34.733 65.267 8.00 224 0.875 bicubic -84.190 -63.337 +62
289 vit_deit_tiny_distilled_patch16_224 deit_tiny_distilled_patch16_224 7.707 92.293 33.560 66.440 5.91 224 0.900 bicubic -82.993 -64.010 +92
290 tf_efficientnetv2_b1 7.693 92.307 34.653 65.347 8.14 240 0.882 bicubic -86.247 -63.967 -53 -58
291 dla60_res2net 7.560 92.440 34.627 65.373 20.85 224 0.875 bilinear -85.620 -63.793 -1 -5
292 efficientnet_b1_pruned 7.440 92.560 34.533 65.467 6.33 240 0.882 bicubic -85.330 -63.507 +19 +17
293 wide_resnet101_2 7.360 92.640 34.147 65.853 126.89 224 0.875 bilinear -86.360 -64.393 -37 -42
294 regnetx_064 7.333 92.667 34.373 65.627 26.21 224 0.875 bicubic -86.557 -64.257 -53 -58
295 vit_deit_tiny_patch16_224 deit_tiny_patch16_224 7.307 92.693 30.707 69.293 5.72 224 0.900 bicubic -82.363 -66.743 +100 +101
296 hardcorenas_e 7.240 92.760 33.293 66.707 8.07 224 0.875 bilinear -85.330 -64.817 +28 +25
297 gluon_resnet101_v1b 7.227 92.773 32.773 67.227 44.55 224 0.875 bicubic -86.523 -65.607 -45 -50
298 efficientnet_b0 7.213 92.787 34.013 65.987 5.29 224 0.875 bicubic -85.477 -64.057 +20 +17
299 gluon_resnet50_v1s 7.213 92.787 33.507 66.493 25.68 224 0.875 bicubic -86.407 -64.953 -38 -42
300 tf_mixnet_l 7.147 92.853 31.613 68.387 7.33 224 0.875 bicubic -86.163 -66.417 -17 -21
301 tf_efficientnet_b1 7.133 92.867 33.040 66.960 7.79 240 0.882 bicubic -86.367 -65.320 -31 -35
302 tf_efficientnet_cc_b0_8e 7.120 92.880 31.787 68.213 24.01 224 0.875 bicubic -85.710 -66.393 -66.093 +6 +2
303 hardcorenas_f resmlp_12_224 6.827 7.013 93.173 92.987 34.093 33.947 65.907 66.053 8.20 15.35 224 0.875 bilinear bicubic -86.123 -85.197 -64.067 -64.213 +1 +34
304 ese_vovnet19b_dw hardcorenas_f 6.733 6.827 93.267 93.173 33.413 34.093 66.587 65.907 6.54 8.20 224 0.875 bicubic bilinear -85.557 -86.123 -64.677 -64.067 +31 -4
305 selecsls60b ese_vovnet19b_dw 6.733 93.267 33.267 33.413 66.733 66.587 32.77 6.54 224 0.875 bicubic -86.567 -85.557 -65.123 -64.677 -20 +27
306 efficientnet_es selecsls60b 6.707 6.733 93.293 93.267 33.840 33.267 66.160 66.733 5.44 32.77 224 0.875 bicubic -86.433 -86.567 -64.580 -65.013 -14 -26
307 res2net50_26w_6s efficientnet_es 6.693 6.707 93.307 93.293 31.653 33.840 68.347 66.160 37.05 5.44 224 0.875 bilinear bicubic -86.717 -86.433 -66.627 -64.580 -31 -19
308 res2net50_26w_6s 6.693 93.307 31.653 68.347 37.05 224 0.875 bilinear -86.717 -66.627 -36
309 legacy_seresnext26_32x4d 6.627 93.373 33.253 66.747 16.79 224 0.875 bicubic -86.013 -64.877 +9
310 mixnet_m 6.627 93.373 32.053 67.947 5.01 224 0.875 bicubic -85.803 -65.817 +16
311 pit_ti_distilled_224 6.627 93.373 30.760 69.240 5.10 224 0.900 bicubic -84.273 -66.940 +66
312 mixnet_m skresnet34 6.627 6.480 93.373 93.520 32.053 31.547 67.947 68.453 5.01 22.28 224 0.875 bicubic -85.803 -85.910 -65.817 -66.603 +20 +17
313 legacy_seresnext26_32x4d repvgg_b1 6.627 6.467 93.373 93.533 33.253 33.827 66.747 66.173 16.79 57.42 224 0.875 bicubic bilinear -86.013 -86.863 -64.877 -64.683 +13 -37
314 skresnet34 hardcorenas_d 6.480 6.440 93.520 93.560 31.547 32.213 68.453 67.787 22.28 7.50 224 0.875 bicubic bilinear -85.910 -85.960 -66.603 -65.857 +21 +13
315 repvgg_b1 dla60x 6.467 6.427 93.533 93.573 33.827 34.080 66.173 65.920 57.42 17.35 224 0.875 bilinear -86.863 -86.693 -64.683 -64.430 -32 -26
316 hardcorenas_d resnet34d 6.440 6.400 93.560 93.600 32.213 31.493 67.787 68.507 7.50 21.82 224 0.875 bilinear bicubic -85.960 -86.280 -65.857 -66.817 +17 0
317 dla60x regnetx_080 6.427 6.307 93.573 93.693 34.080 32.320 65.920 67.680 17.35 39.57 224 0.875 bilinear bicubic -86.693 -87.563 -64.430 -66.200 -21 -80
resnet34d 6.400 93.600 31.493 68.507 21.82 224 0.875 bicubic -86.280 -66.817 +4
regnetx_080 6.307 93.693 32.320 67.680 39.57 224 0.875 bicubic -87.563 -66.200 -74
318 swsl_resnet18 6.240 93.760 31.600 68.400 11.69 224 0.875 bilinear -84.450 -66.100 +65
319 legacy_seresnet50 6.187 93.813 32.653 67.347 28.09 224 0.875 bilinear -86.773 -65.537 -15 -20
320 pit_ti_224 6.120 93.880 30.227 69.773 4.85 224 0.900 bicubic -83.820 -67.223 +73
321 tv_resnet152 6.040 93.960 32.053 67.947 60.19 224 0.875 bilinear -87.260 -66.227 -66.337 -36 -40
322 tf_efficientnet_cc_b0_4e regnetx_040 5.973 94.027 29.600 31.547 70.400 68.453 13.31 22.12 224 0.875 bicubic -86.617 -87.587 -68.480 -66.993 +1 -62
323 regnetx_040 tf_efficientnet_cc_b0_4e 5.973 94.027 31.547 29.600 68.453 70.400 22.12 13.31 224 0.875 bicubic -87.587 -86.617 -66.993 -68.480 -57 -3
324 resnet50 5.933 94.067 29.093 70.907 25.56 224 0.875 bicubic -87.877 -69.317 -69.297 -76 -80
325 tf_efficientnetv2_b0 5.893 94.107 30.773 69.227 7.14 224 0.875 bicubic -87.217 -67.617 -67.537 -28 -34
326 dla102 5.880 94.120 32.707 67.293 33.27 224 0.875 bilinear -87.180 -65.833 -28 -33
327 mixer_l16_224 5.867 94.133 18.533 81.467 208.20 224 0.875 bicubic -81.283 -74.987 +84 +85
328 regnety_016 5.680 94.320 30.413 69.587 11.20 224 0.875 bicubic -87.350 -67.947 -28 -33
329 selecsls60 5.653 94.347 32.507 67.493 30.67 224 0.875 bicubic -87.377 -65.793 -27 -32
330 hardcorenas_c 5.640 94.360 30.400 69.600 5.52 224 0.875 bilinear -86.380 -67.440 +15 +14
331 res2next50 5.627 94.373 30.867 69.133 24.67 224 0.875 bilinear -87.213 -67.313 -23 -28
332 hrnet_w18 5.493 94.507 30.960 69.040 21.30 224 0.875 bilinear -86.827 -67.280 +3 -1
333 resnest14d 5.480 94.520 28.547 71.453 10.61 224 0.875 bilinear -86.240 -69.323 +25
334 tf_efficientnet_lite2 5.360 94.640 30.907 69.093 6.09 260 0.890 bicubic -87.290 -67.323 -13 -17
335 tf_efficientnet_em 5.347 94.653 31.107 68.893 6.90 240 0.882 bicubic -87.583 -67.083 -29 -34
336 gernet_s 5.307 94.693 30.133 69.867 8.17 224 0.875 bilinear -86.833 -68.057 +7 +4
337 tf_efficientnet_b0_ap 5.307 94.693 28.813 71.187 5.29 224 0.875 bicubic -86.893 -69.207 +4 +1
338 densenet121 5.293 94.707 29.907 70.093 7.98 224 0.875 bicubic -86.277 -68.123 +21
339 repvgg_b1g4 5.293 94.707 30.813 69.187 39.97 224 0.875 bilinear -87.687 -67.617 -36 -41
340 res2net50_26w_4s 5.160 94.840 29.360 70.640 25.70 224 0.875 bilinear -87.340 -68.700 -11 -15
341 tf_mixnet_m 5.080 94.920 28.147 71.853 5.01 224 0.875 bicubic -87.250 -69.743 -7 -11
342 mobilenetv3_large_100 vit_tiny_r_s16_p8_224 5.067 5.080 94.933 94.920 28.187 27.080 71.813 72.920 5.48 6.34 224 0.875 0.900 bicubic -86.253 -84.090 -69.523 -70.150 +22 +58
343 tf_efficientnet_b0 5.067 94.933 28.800 71.200 5.29 224 0.875 bicubic -87.183 -69.200 -4 -9
344 res2net50_14w_8s mobilenetv3_large_100 5.040 5.067 94.960 94.933 28.773 28.187 71.227 71.813 25.06 5.48 224 0.875 bilinear bicubic -87.700 -86.253 -69.407 -69.523 -29 +21
345 hardcorenas_b res2net50_14w_8s 4.947 5.040 95.053 94.960 28.120 28.773 71.880 71.227 5.18 25.06 224 0.875 bilinear -86.823 -87.700 -69.660 -69.407 +11 -34
346 mobilenetv3_rw hardcorenas_b 4.907 4.947 95.093 95.053 29.853 28.120 70.147 71.880 5.48 5.18 224 0.875 bicubic bilinear -86.303 -86.823 -67.807 -69.660 +20 +9
347 mixnet_s 4.907 95.093 28.573 71.427 4.13 224 0.875 bicubic -86.923 -69.117 +8 +6
348 gluon_resnet50_v1c mobilenetv3_rw 4.893 4.907 95.107 95.093 28.147 29.853 71.853 70.147 25.58 5.48 224 0.875 bicubic -88.137 -86.303 -70.243 -67.807 -49 +19
349 hardcorenas_a gluon_resnet50_v1c 4.867 4.893 95.133 95.107 28.093 28.147 71.907 71.853 5.26 25.58 224 0.875 bilinear bicubic -86.483 -88.137 -69.767 -70.243 +14 -55
350 regnetx_032 hardcorenas_a 4.853 4.867 95.147 95.133 30.280 28.093 69.720 71.907 15.30 5.26 224 0.875 bicubic bilinear -88.267 -86.483 -68.110 -69.767 -55 +13
351 tv_resnext50_32x4d regnetx_032 4.840 4.853 95.160 95.147 30.307 30.280 69.693 69.720 25.03 15.30 224 0.875 bilinear bicubic -87.900 -88.267 -67.963 -68.110 -35 -61
352 tv_resnet101 tv_resnext50_32x4d 4.707 4.840 95.293 95.160 29.333 30.307 70.667 69.693 44.55 25.03 224 0.875 bilinear -88.103 -87.900 -68.917 -67.963 -41 -40
353 densenet161 tv_resnet101 4.693 4.707 95.307 95.293 29.547 29.333 70.453 70.667 28.68 44.55 224 0.875 bicubic bilinear -87.807 -88.103 -68.743 -68.917 -25 -45
354 selecsls42b densenet161 4.667 4.693 95.333 95.307 28.587 29.547 71.413 70.453 32.46 28.68 224 0.875 bicubic -87.613 -87.807 -69.563 -68.743 -17 -30
355 tf_efficientnet_lite1 selecsls42b 4.613 4.667 95.387 95.333 28.387 28.587 71.613 71.413 5.42 32.46 240 224 0.882 0.875 bicubic -88.007 -87.613 -69.693 -69.563 -32 -22
356 mobilenetv2_120d tf_efficientnet_lite1 4.533 4.613 95.467 95.387 29.280 28.387 70.720 71.613 5.83 5.42 224 240 0.875 0.882 bicubic -87.867 -88.007 -68.770 -69.693 -24 -37
357 efficientnet_es_pruned mobilenetv2_120d 4.187 4.533 95.813 95.467 26.520 29.280 73.480 70.720 5.44 5.83 224 0.875 bicubic -86.993 -87.867 -71.230 -68.770 +12 -29
358 efficientnet_es_pruned 4.187 95.813 26.520 73.480 5.44 224 0.875 bicubic -86.993 -71.230 +11
359 fbnetc_100 4.133 95.867 25.933 74.067 5.57 224 0.875 bilinear -86.567 -71.277 +23
360 gluon_resnet50_v1b densenet201 4.120 95.880 26.933 27.547 73.067 72.453 25.56 20.01 224 0.875 bicubic -88.420 -88.630 -71.237 -70.683 -33 -50
361 densenet201 gluon_resnet50_v1b 4.120 95.880 27.547 26.933 72.453 73.067 20.01 25.56 224 0.875 bicubic -88.630 -88.420 -70.683 -71.237 -45 -38
362 resnet26d 4.040 95.960 28.520 71.480 16.01 224 0.875 bicubic -88.030 -69.440 -17 -21
363 semnasnet_100 3.960 96.040 26.947 73.053 3.89 224 0.875 bicubic -87.320 -70.613 +3 +2
364 repvgg_a2 3.947 96.053 27.267 72.733 28.21 224 0.875 bilinear -87.993 -70.883 -14 -16
365 tf_mixnet_s 3.880 96.120 25.253 74.747 4.13 224 0.875 bicubic -87.630 -72.367 -4 -5
366 dpn68 3.867 96.133 26.080 73.920 12.61 224 0.875 bicubic -88.143 -71.970 -19 -21
367 tf_efficientnet_es 3.827 96.173 26.107 73.893 5.44 224 0.875 bicubic -88.153 -71.753 -19 -21
368 regnety_008 3.813 96.187 27.133 72.867 6.26 224 0.875 bicubic -87.937 -71.047 -10 -11
369 dla60 3.773 96.227 27.933 72.067 22.04 224 0.875 bilinear -88.457 -70.177 -28 -33
370 ssl_resnet18 3.747 96.253 25.427 74.573 11.69 224 0.875 bilinear -86.473 -72.123 +20 +19
371 mobilenetv2_140 3.720 96.280 26.747 73.253 6.11 224 0.875 bicubic -88.110 -71.113 -15 -17
372 densenet169 3.707 96.293 25.613 74.387 14.15 224 0.875 bicubic -88.223 -72.487 -21 -23
373 regnetx_016 3.627 96.373 26.293 73.707 9.19 224 0.875 bicubic -88.543 -71.917 -30 -34
374 res2net50_48w_2s 3.587 96.413 26.613 73.387 25.29 224 0.875 bilinear -88.963 -71.467 -47 -52
375 spnasnet_100 3.547 96.453 24.293 75.707 4.42 224 0.875 bilinear -86.803 -72.897 +14 +13
376 tf_mobilenetv3_large_100 3.547 96.453 25.053 74.947 5.48 224 0.875 bilinear -87.693 -72.607 -9 -10
377 regnety_006 3.467 96.533 24.893 75.107 6.06 224 0.875 bicubic -87.903 -72.817 -14 -15
378 legacy_seresnet34 3.333 96.667 23.800 76.200 21.96 224 0.875 bilinear -87.557 -73.780 +1 0
379 efficientnet_lite0 3.253 96.747 25.867 74.133 4.65 224 0.875 bicubic -87.887 -71.763 -8 -9
380 dla34 3.227 96.773 23.573 76.427 15.74 224 0.875 bilinear -87.533 -74.087 +1 0
381 ghostnet_100 3.227 96.773 24.853 75.147 5.18 224 0.875 bilinear -86.793 -72.517 +12 +11
382 regnety_004 3.200 96.800 22.653 77.347 4.34 224 0.875 bicubic -87.300 -74.887 +5 +4
383 mobilenetv2_110d 3.173 96.827 24.587 75.413 4.52 224 0.875 bicubic -87.777 -72.963 -6 -7
384 mnasnet_100 3.120 96.880 24.227 75.773 4.38 224 0.875 bicubic -87.390 -73.243 +2 +1
385 tf_efficientnet_lite0 3.080 96.920 22.907 77.093 4.65 224 0.875 bicubic -87.960 -74.683 -10 -11
386 skresnet18 3.013 96.987 22.800 77.200 11.96 224 0.875 bicubic -86.647 -74.430 +12 +11
387 vgg19_bn 2.947 97.053 23.480 76.520 143.68 224 0.875 bilinear -87.133 -74.100 +5 +4
388 resnet34 2.920 97.080 23.680 76.320 21.80 224 0.875 bilinear -88.210 -73.940 -16 -17
389 tf_mobilenetv3_large_075 2.867 97.133 21.573 78.427 3.99 224 0.875 bilinear -86.813 -75.637 +7 +6
390 hrnet_w18_small_v2 2.720 97.280 23.693 76.307 15.60 224 0.875 bilinear -88.470 -74.207 -21 -22
391 gluon_resnet34_v1b 2.667 97.333 21.680 78.320 21.80 224 0.875 bicubic -88.293 -75.950 -15 -16
392 regnetx_008 2.653 97.347 22.453 77.547 7.26 224 0.875 bicubic -88.397 -75.257 -18 -19
393 vgg16_bn 2.653 97.347 23.773 76.227 138.37 224 0.875 bilinear -87.437 -73.597 -2 -3
394 vgg16 2.640 97.360 20.427 79.573 138.36 224 0.875 bilinear -85.910 -76.363 +13
395 resnet18d 2.600 97.400 21.613 78.387 11.71 224 0.875 bicubic -86.680 -75.537 +5 +4
396 tv_densenet121 2.560 97.440 22.667 77.333 7.98 224 0.875 bicubic -88.330 -75.043 -16 -17
397 repvgg_b0 2.547 97.453 24.013 75.987 15.82 224 0.875 bilinear -88.883 -73.977 -35 -36
398 regnetx_006 2.507 97.493 20.653 79.347 6.20 224 0.875 bicubic -87.843 -76.777 -10 -11
399 legacy_seresnet18 2.493 97.507 20.080 79.920 11.78 224 0.875 bicubic -86.387 -76.900 +6
400 resnet26 2.480 97.520 22.987 77.013 16.00 224 0.875 bicubic -88.630 -74.753 -27 -28
401 mobilenetv2_100 2.147 97.853 19.907 80.093 3.50 224 0.875 bicubic -87.453 -77.233 -2 -3
402 regnety_002 2.147 97.853 18.880 81.120 3.16 224 0.875 bicubic -85.233 -77.710 +9
403 vgg19 2.107 97.893 20.733 79.267 143.67 224 0.875 bilinear -86.933 -76.137 -1
404 vgg13_bn 2.093 97.907 20.307 79.693 133.05 224 0.875 bilinear -86.667 -76.663 +2
405 tf_mobilenetv3_small_100 2.013 97.987 15.867 84.133 2.54 224 0.875 bilinear -83.177 -79.903 +12
406 tf_mobilenetv3_small_075 2.000 98.000 14.813 85.187 2.04 224 0.875 bilinear -81.520 -79.977 +14
407 regnetx_004 1.960 98.040 19.173 80.827 5.16 224 0.875 bicubic -86.940 -77.947 -3
tv_resnet34 1.867 98.133 20.000 80.000 21.80 224 0.875 bilinear -88.073 -77.340 -13
408 vgg13 1.867 98.133 17.960 82.040 133.05 224 0.875 bilinear -85.183 -78.360 +4
409 tv_resnet34 1.867 98.133 20.000 80.000 21.80 224 0.875 bilinear -88.073 -77.340 -14
410 dla46x_c 1.760 98.240 16.480 83.520 1.07 224 0.875 bilinear -82.490 -78.790 +8
411 vgg11_bn 1.720 98.280 18.093 81.907 132.87 224 0.875 bilinear -85.780 -78.727 -2
412 tf_mobilenetv3_large_minimal_100 1.627 98.373 17.120 82.880 3.92 224 0.875 bilinear -87.343 -79.740 -9
418 regnetx_002 1.373 98.627 15.027 84.973 2.68 224 0.875 bicubic -84.817 -80.953 -2
419 resnet18 1.160 98.840 16.213 83.787 11.69 224 0.875 bilinear -86.230 -80.077 -9
420 tf_mobilenetv3_small_minimal_100 1.013 98.987 11.493 88.507 2.04 224 0.875 bilinear -80.367 -82.177 +1
421 tv_resnet50 0.000 100.000 14.453 85.547 25.56 224 0.875 bilinear -91.880 -83.587 -68 -70

@ -1,53 +1,60 @@
model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation
tf_efficientnet_l2_ns,97.780,2.220,99.890,0.110,480.31,800,0.960,bicubic
tf_efficientnet_l2_ns_475,97.750,2.250,99.820,0.180,480.31,475,0.936,bicubic
vit_large_patch16_384,97.420,2.580,99.780,0.220,304.72,384,1.000,bicubic
tf_efficientnet_b7_ns,97.200,2.800,99.700,0.300,66.35,600,0.949,bicubic
swin_large_patch4_window12_384,97.170,2.830,99.680,0.320,196.74,384,1.000,bicubic
swin_base_patch4_window12_384,97.120,2.880,99.780,0.220,87.90,384,1.000,bicubic
tf_efficientnetv2_l_in21ft1k,97.110,2.890,99.710,0.290,118.52,480,1.000,bicubic
tf_efficientnet_b6_ns,97.020,2.980,99.710,0.290,43.04,528,0.942,bicubic
dm_nfnet_f6,96.990,3.010,99.740,0.260,438.36,576,0.956,bicubic
vit_base_patch16_384,97.020,2.980,99.710,0.290,86.86,384,1.000,bicubic
ig_resnext101_32x48d,96.970,3.030,99.670,0.330,828.41,224,0.875,bilinear
tf_efficientnetv2_m_in21ft1k,96.970,3.030,99.610,0.390,54.14,480,1.000,bicubic
swin_large_patch4_window7_224,96.950,3.050,99.660,0.340,196.53,224,0.900,bicubic
resnetv2_152x4_bitm,96.880,3.120,99.660,0.340,936.53,480,1.000,bilinear
vit_large_r50_s32_384,96.950,3.050,99.710,0.290,329.09,384,1.000,bicubic
dm_nfnet_f6,96.920,3.080,99.720,0.280,438.36,576,0.956,bicubic
cait_m48_448,96.880,3.120,99.620,0.380,356.46,448,1.000,bicubic
resnetv2_152x4_bitm,96.870,3.130,99.660,0.340,936.53,480,1.000,bilinear
tf_efficientnet_b5_ns,96.870,3.130,99.640,0.360,30.39,456,0.934,bicubic
cait_m36_384,96.830,3.170,99.660,0.340,271.22,384,1.000,bicubic
dm_nfnet_f4,96.820,3.180,99.600,0.400,316.07,512,0.951,bicubic
dm_nfnet_f5,96.810,3.190,99.670,0.330,377.21,544,0.954,bicubic
dm_nfnet_f4,96.780,3.220,99.620,0.380,316.07,512,0.951,bicubic
ig_resnext101_32x32d,96.780,3.220,99.530,0.470,468.53,224,0.875,bilinear
dm_nfnet_f5,96.710,3.290,99.680,0.320,377.21,544,0.954,bicubic
dm_nfnet_f3,96.730,3.270,99.630,0.370,254.92,416,0.940,bicubic
tf_efficientnet_b4_ns,96.710,3.290,99.640,0.360,19.34,380,0.922,bicubic
vit_large_patch16_224,96.710,3.290,99.650,0.350,304.33,224,0.900,bicubic
tf_efficientnet_b8,96.700,3.300,99.530,0.470,87.41,672,0.954,bicubic
swin_base_patch4_window7_224,96.680,3.320,99.660,0.340,87.77,224,0.900,bicubic
tf_efficientnetv2_l,96.650,3.350,99.560,0.440,118.52,480,1.000,bicubic
cait_s36_384,96.630,3.370,99.600,0.400,68.37,384,1.000,bicubic
dm_nfnet_f3,96.630,3.370,99.640,0.360,254.92,416,0.940,bicubic
tf_efficientnet_b7,96.580,3.420,99.510,0.490,66.35,600,0.949,bicubic
cait_s24_384,96.570,3.430,99.550,0.450,47.06,384,1.000,bicubic
tf_efficientnet_b8_ap,96.550,3.450,99.540,0.460,87.41,672,0.954,bicubic
tf_efficientnetv2_m,96.550,3.450,99.570,0.430,54.14,480,1.000,bicubic
vit_deit_base_distilled_patch16_384,96.510,3.490,99.590,0.410,87.63,384,1.000,bicubic
dm_nfnet_f2,96.500,3.500,99.570,0.430,193.78,352,0.920,bicubic
resnetv2_152x2_bitm,96.500,3.500,99.620,0.380,236.34,480,1.000,bilinear
resnetv2_152x2_bitm,96.520,3.480,99.590,0.410,236.34,448,1.000,bilinear
deit_base_distilled_patch16_384,96.510,3.490,99.590,0.410,87.63,384,1.000,bicubic
tf_efficientnetv2_s_in21ft1k,96.470,3.530,99.570,0.430,21.46,384,1.000,bicubic
dm_nfnet_f2,96.460,3.540,99.540,0.460,193.78,352,0.920,bicubic
ecaresnet269d,96.460,3.540,99.610,0.390,102.09,352,1.000,bicubic
eca_nfnet_l2,96.450,3.550,99.620,0.380,56.72,384,1.000,bicubic
vit_base_r50_s16_384,96.450,3.550,99.660,0.340,98.95,384,1.000,bicubic
ig_resnext101_32x16d,96.440,3.560,99.540,0.460,194.03,224,0.875,bilinear
resnetrs420,96.400,3.600,99.540,0.460,191.89,416,1.000,bicubic
dm_nfnet_f1,96.390,3.610,99.470,0.530,132.63,320,0.910,bicubic
tf_efficientnet_b6_ap,96.370,3.630,99.550,0.450,43.04,528,0.942,bicubic
dm_nfnet_f1,96.370,3.630,99.470,0.530,132.63,320,0.910,bicubic
resnetv2_101x3_bitm,96.360,3.640,99.600,0.400,387.93,480,1.000,bilinear
vit_large_patch16_384,96.360,3.640,99.630,0.370,304.72,384,1.000,bicubic
resmlp_big_24_224_in22ft1k,96.350,3.650,99.520,0.480,129.14,224,0.875,bicubic
tf_efficientnet_b7_ap,96.350,3.650,99.590,0.410,66.35,600,0.949,bicubic
seresnet152d,96.310,3.690,99.510,0.490,66.84,320,1.000,bicubic
vit_base_patch16_224,96.300,3.700,99.560,0.440,86.57,224,0.900,bicubic
tf_efficientnet_b6,96.290,3.710,99.520,0.480,43.04,528,0.942,bicubic
efficientnetv2_rw_m,96.270,3.730,99.560,0.440,53.24,416,1.000,bicubic
resnetv2_50x3_bitm,96.270,3.730,99.630,0.370,217.32,448,1.000,bilinear
swsl_resnext101_32x16d,96.270,3.730,99.500,0.500,194.03,224,0.875,bilinear
resnetrs350,96.240,3.760,99.470,0.530,163.96,384,1.000,bicubic
resnetv2_101x3_bitm,96.250,3.750,99.590,0.410,387.93,448,1.000,bilinear
swsl_resnext101_32x8d,96.240,3.760,99.590,0.410,88.79,224,0.875,bilinear
vit_base_patch16_384,96.190,3.810,99.530,0.470,86.86,384,1.000,bicubic
resnetv2_50x3_bitm,96.140,3.860,99.620,0.380,217.32,480,1.000,bilinear
resnetrs350,96.240,3.760,99.470,0.530,163.96,384,1.000,bicubic
resnetv2_152x2_bit_teacher_384,96.190,3.810,99.500,0.500,236.34,384,1.000,bicubic
vit_large_r50_s32_224,96.180,3.820,99.530,0.470,328.99,224,0.900,bicubic
resnest269e,96.120,3.880,99.520,0.480,110.93,416,0.928,bicubic
resnet200d,96.110,3.890,99.460,0.540,64.69,320,1.000,bicubic
tf_efficientnet_b3_ns,96.100,3.900,99.480,0.520,12.23,300,0.904,bicubic
@ -55,63 +62,67 @@ tf_efficientnet_b5_ap,96.080,3.920,99.540,0.460,30.39,456,0.934,bicubic
pit_b_distilled_224,96.070,3.930,99.380,0.620,74.79,224,0.900,bicubic
resnest200e,96.070,3.930,99.480,0.520,70.20,320,0.909,bicubic
resnetrs270,96.060,3.940,99.490,0.510,129.86,352,1.000,bicubic
vit_small_r26_s32_384,96.060,3.940,99.560,0.440,36.47,384,1.000,bicubic
swsl_resnext101_32x4d,96.050,3.950,99.530,0.470,44.18,224,0.875,bilinear
vit_base_patch16_224_miil,96.030,3.970,99.350,0.650,86.54,224,0.875,bilinear
cait_xs24_384,96.010,3.990,99.430,0.570,26.67,384,1.000,bicubic
resnetrs200,95.990,4.010,99.440,0.560,93.21,320,1.000,bicubic
tf_efficientnet_b5,95.980,4.020,99.450,0.550,30.39,456,0.934,bicubic
vit_small_patch16_384,95.980,4.020,99.590,0.410,22.20,384,1.000,bicubic
resnetrs152,95.960,4.040,99.380,0.620,86.62,320,1.000,bicubic
eca_nfnet_l1,95.930,4.070,99.500,0.500,41.41,320,1.000,bicubic
eca_nfnet_l1,95.940,4.060,99.490,0.510,41.41,320,1.000,bicubic
ig_resnext101_32x8d,95.930,4.070,99.380,0.620,88.79,224,0.875,bilinear
vit_base_patch32_384,95.900,4.100,99.440,0.560,88.30,384,1.000,bicubic
regnety_160,95.880,4.120,99.560,0.440,83.59,288,1.000,bicubic
resmlp_big_24_distilled_224,95.870,4.130,99.440,0.560,129.14,224,0.875,bicubic
resnet152d,95.870,4.130,99.430,0.570,60.21,320,1.000,bicubic
resnet101d,95.750,4.250,99.440,0.560,44.57,320,1.000,bicubic
vit_deit_base_distilled_patch16_224,95.750,4.250,99.280,0.720,87.34,224,0.900,bicubic
swin_small_patch4_window7_224,95.720,4.280,99.290,0.710,49.61,224,0.900,bicubic
resnetv2_152x2_bit_teacher,95.750,4.250,99.430,0.570,236.34,224,0.875,bicubic
deit_base_distilled_patch16_224,95.750,4.250,99.280,0.720,87.34,224,0.900,bicubic
twins_pcpvt_large,95.720,4.280,99.490,0.510,60.99,224,0.900,bicubic
twins_svt_large,95.720,4.280,99.370,0.630,99.27,224,0.900,bicubic
swin_small_patch4_window7_224,95.720,4.280,99.290,0.710,49.61,224,0.900,bicubic
efficientnetv2_rw_s,95.710,4.290,99.380,0.620,23.94,384,1.000,bicubic
tf_efficientnetv2_s,95.710,4.290,99.400,0.600,21.46,384,1.000,bicubic
vit_deit_base_patch16_384,95.650,4.350,99.240,0.760,86.86,384,1.000,bicubic
dm_nfnet_f0,95.690,4.310,99.330,0.670,71.49,256,0.900,bicubic
cait_s24_224,95.650,4.350,99.390,0.610,46.92,224,1.000,bicubic
dm_nfnet_f0,95.630,4.370,99.300,0.700,71.49,256,0.900,bicubic
deit_base_patch16_384,95.650,4.350,99.240,0.760,86.86,384,1.000,bicubic
swsl_resnext50_32x4d,95.620,4.380,99.440,0.560,25.03,224,0.875,bilinear
tf_efficientnet_b4,95.590,4.410,99.330,0.670,19.34,380,0.922,bicubic
resnest101e,95.570,4.430,99.270,0.730,48.28,256,0.875,bilinear
twins_svt_base,95.570,4.430,99.230,0.770,56.07,224,0.900,bicubic
efficientnet_b4,95.520,4.480,99.390,0.610,19.34,384,1.000,bicubic
tf_efficientnet_b2_ns,95.520,4.480,99.340,0.660,9.11,260,0.890,bicubic
resnetv2_101x1_bitm,95.510,4.490,99.510,0.490,44.54,480,1.000,bilinear
efficientnet_b4,95.520,4.480,99.390,0.610,19.34,384,1.000,bicubic
tresnet_xl_448,95.510,4.490,99.340,0.660,78.44,448,0.875,bilinear
tf_efficientnet_b4_ap,95.490,4.510,99.390,0.610,19.34,380,0.922,bicubic
regnety_032,95.470,4.530,99.320,0.680,19.44,288,1.000,bicubic
eca_nfnet_l0,95.470,4.530,99.380,0.620,24.14,288,1.000,bicubic
twins_pcpvt_base,95.460,4.540,99.390,0.610,43.83,224,0.900,bicubic
eca_nfnet_l0,95.450,4.550,99.390,0.610,24.14,288,1.000,bicubic
ssl_resnext101_32x16d,95.410,4.590,99.410,0.590,194.03,224,0.875,bilinear
tresnet_l_448,95.410,4.590,99.300,0.700,55.99,448,0.875,bilinear
nfnet_l0,95.390,4.610,99.420,0.580,35.07,288,1.000,bicubic
resnetv2_50x1_bit_distilled,95.390,4.610,99.430,0.570,25.55,224,0.875,bicubic
tresnet_m,95.380,4.620,99.150,0.850,31.39,224,0.875,bilinear
pnasnet5large,95.360,4.640,99.130,0.870,86.06,331,0.911,bicubic
ssl_resnext101_32x8d,95.340,4.660,99.320,0.680,88.79,224,0.875,bilinear
vit_large_patch16_224,95.290,4.710,99.310,0.690,304.33,224,0.900,bicubic
vit_base_patch32_384,95.260,4.740,99.180,0.820,88.30,384,1.000,bicubic
resnetv2_101x1_bitm,95.320,4.680,99.370,0.630,44.54,448,1.000,bilinear
resnetrs101,95.250,4.750,99.210,0.790,63.62,288,0.940,bicubic
vit_large_patch32_384,95.240,4.760,99.320,0.680,306.63,384,1.000,bicubic
cait_xxs36_384,95.220,4.780,99.320,0.680,17.37,384,1.000,bicubic
levit_384,95.210,4.790,99.160,0.840,39.13,224,0.900,bicubic
vit_base_patch16_224,95.210,4.790,99.230,0.770,86.57,224,0.900,bicubic
resnet51q,95.200,4.800,99.280,0.720,35.70,288,1.000,bilinear
swsl_resnet50,95.200,4.800,99.390,0.610,25.56,224,0.875,bilinear
ecaresnet101d,95.160,4.840,99.230,0.770,44.57,224,0.875,bicubic
ssl_resnext101_32x4d,95.160,4.840,99.300,0.700,44.18,224,0.875,bilinear
nasnetalarge,95.150,4.850,99.130,0.870,88.75,331,0.911,bicubic
efficientnet_b3,95.140,4.860,99.210,0.790,12.23,320,1.000,bicubic
vit_small_r26_s32_224,95.130,4.870,99.220,0.780,36.43,224,0.900,bicubic
tf_efficientnetv2_b3,95.120,4.880,99.200,0.800,14.36,300,0.904,bicubic
convit_base,95.100,4.900,99.140,0.860,86.54,224,0.875,bicubic
coat_lite_small,95.080,4.920,99.020,0.980,19.84,224,0.900,bicubic
ecaresnet50t,95.070,4.930,99.290,0.710,25.57,320,0.950,bicubic
tresnet_xl,95.060,4.940,99.260,0.740,78.44,224,0.875,bilinear
vit_deit_base_patch16_224,95.010,4.990,98.980,1.020,86.57,224,0.900,bicubic
deit_base_patch16_224,95.010,4.990,98.980,1.020,86.57,224,0.900,bicubic
tf_efficientnet_b3_ap,94.970,5.030,99.110,0.890,12.23,300,0.904,bicubic
visformer_small,94.960,5.040,99.210,0.790,40.22,224,0.900,bicubic
gernet_l,94.930,5.070,99.200,0.800,31.08,256,0.875,bilinear
@ -119,6 +130,7 @@ cait_xxs24_384,94.920,5.080,99.140,0.860,12.03,384,1.000,bicubic
convit_small,94.920,5.080,99.110,0.890,27.78,224,0.875,bicubic
tf_efficientnet_b3,94.910,5.090,99.110,0.890,12.23,300,0.904,bicubic
tresnet_l,94.900,5.100,99.030,0.970,55.99,224,0.875,bilinear
vit_small_patch16_224,94.880,5.120,99.270,0.730,22.05,224,0.900,bicubic
mixer_b16_224_miil,94.880,5.120,99.080,0.920,59.88,224,0.875,bilinear
tf_efficientnet_lite4,94.870,5.130,99.090,0.910,13.01,380,0.920,bilinear
tf_efficientnet_b1_ns,94.860,5.140,99.250,0.750,7.79,240,0.882,bicubic
@ -128,58 +140,63 @@ coat_mini,94.770,5.230,98.950,1.050,10.34,224,0.900,bicubic
twins_svt_small,94.770,5.230,99.080,0.920,24.06,224,0.900,bicubic
legacy_senet154,94.730,5.270,99.100,0.900,115.09,224,0.875,bilinear
pit_s_distilled_224,94.730,5.270,99.190,0.810,24.04,224,0.900,bicubic
resnetv2_50x1_bitm,94.730,5.270,99.180,0.820,25.55,448,1.000,bilinear
gluon_resnet152_v1s,94.720,5.280,99.060,0.940,60.32,224,0.875,bicubic
gluon_senet154,94.710,5.290,98.970,1.030,115.09,224,0.875,bicubic
resnest50d_4s2x40d,94.710,5.290,99.130,0.870,30.42,224,0.875,bicubic
ssl_resnext50_32x4d,94.700,5.300,99.240,0.760,25.03,224,0.875,bilinear
efficientnet_el,94.670,5.330,99.130,0.870,10.59,300,0.904,bicubic
wide_resnet50_2,94.670,5.330,99.050,0.950,68.88,224,0.875,bicubic
tresnet_m_448,94.660,5.340,99.150,0.850,31.39,448,0.875,bilinear
rexnet_200,94.660,5.340,99.090,0.910,16.37,224,0.875,bicubic
tresnet_m_448,94.660,5.340,99.150,0.850,31.39,448,0.875,bilinear
gluon_seresnext101_64x4d,94.650,5.350,98.980,1.020,88.23,224,0.875,bicubic
resnest50d,94.620,5.380,99.030,0.970,27.48,224,0.875,bilinear
swin_tiny_patch4_window7_224,94.620,5.380,99.120,0.880,28.29,224,0.900,bicubic
twins_pcpvt_small,94.600,5.400,99.150,0.850,24.11,224,0.900,bicubic
deit_small_distilled_patch16_224,94.590,5.410,99.100,0.900,22.44,224,0.900,bicubic
pit_s_224,94.590,5.410,98.930,1.070,23.46,224,0.900,bicubic
vit_deit_small_distilled_patch16_224,94.590,5.410,99.100,0.900,22.44,224,0.900,bicubic
efficientnet_b3_pruned,94.580,5.420,99.070,0.930,9.86,300,0.904,bicubic
vit_small_patch32_384,94.590,5.410,99.140,0.860,22.92,384,1.000,bicubic
tnt_s_patch16_224,94.580,5.420,99.180,0.820,23.76,224,0.900,bicubic
efficientnet_b3_pruned,94.580,5.420,99.070,0.930,9.86,300,0.904,bicubic
resmlp_36_distilled_224,94.570,5.430,99.160,0.840,44.69,224,0.875,bicubic
gernet_m,94.550,5.450,98.930,1.070,21.14,224,0.875,bilinear
repvgg_b3,94.550,5.450,98.910,1.090,123.09,224,0.875,bilinear
resnetv2_50x1_bitm,94.550,5.450,99.250,0.750,25.55,480,1.000,bilinear
regnety_320,94.520,5.480,99.170,0.830,145.05,224,0.875,bicubic
repvgg_b3g4,94.490,5.510,99.020,0.980,83.83,224,0.875,bilinear
gluon_seresnext101_32x4d,94.450,5.550,99.090,0.910,48.96,224,0.875,bicubic
ecaresnet101d_pruned,94.450,5.550,99.100,0.900,24.88,224,0.875,bicubic
gluon_seresnext101_32x4d,94.450,5.550,99.090,0.910,48.96,224,0.875,bicubic
gluon_resnet152_v1d,94.440,5.560,99.010,0.990,60.21,224,0.875,bicubic
nf_resnet50,94.410,5.590,99.100,0.900,25.56,288,0.940,bicubic
levit_256,94.400,5.600,99.060,0.940,18.89,224,0.900,bicubic
nf_resnet50,94.400,5.600,99.070,0.930,25.56,288,0.940,bicubic
vit_base_patch32_224,94.390,5.610,99.060,0.940,88.22,224,0.900,bicubic
resnest50d_1s4x24d,94.390,5.610,99.070,0.930,25.68,224,0.875,bicubic
inception_v4,94.380,5.620,98.820,1.180,42.68,299,0.875,bicubic
efficientnet_b2,94.370,5.630,99.050,0.950,9.11,288,1.000,bicubic
tf_efficientnet_el,94.360,5.640,99.100,0.900,10.59,300,0.904,bicubic
gluon_resnext101_64x4d,94.350,5.650,98.880,1.120,83.46,224,0.875,bicubic
inception_resnet_v2,94.340,5.660,98.800,1.200,55.84,299,0.897,bicubic
resmlp_24_distilled_224,94.330,5.670,99.090,0.910,30.02,224,0.875,bicubic
ssl_resnet50,94.310,5.690,99.150,0.850,25.56,224,0.875,bilinear
regnetx_120,94.270,5.730,99.190,0.810,46.11,224,0.875,bicubic
tf_efficientnet_b2_ap,94.270,5.730,98.950,1.050,9.11,260,0.890,bicubic
rexnet_150,94.270,5.730,99.080,0.920,9.73,224,0.875,bicubic
tf_efficientnet_b2_ap,94.270,5.730,98.950,1.050,9.11,260,0.890,bicubic
resmlp_big_24_224,94.260,5.740,98.820,1.180,129.14,224,0.875,bicubic
mixnet_xl,94.230,5.770,98.820,1.180,11.90,224,0.875,bicubic
regnetx_320,94.210,5.790,99.050,0.950,107.81,224,0.875,bicubic
tf_efficientnet_b2,94.210,5.790,99.030,0.970,9.11,260,0.890,bicubic
regnetx_320,94.210,5.790,99.050,0.950,107.81,224,0.875,bicubic
dpn92,94.190,5.810,98.930,1.070,37.67,224,0.875,bicubic
ecaresnet50d,94.190,5.810,99.020,0.980,25.58,224,0.875,bicubic
gluon_resnet101_v1d,94.170,5.830,98.940,1.060,44.57,224,0.875,bicubic
gluon_resnet101_v1s,94.170,5.830,99.010,0.990,44.67,224,0.875,bicubic
gluon_seresnext50_32x4d,94.170,5.830,98.910,1.090,27.56,224,0.875,bicubic
regnety_064,94.140,5.860,99.030,0.970,30.58,224,0.875,bicubic
ecaresnetlight,94.140,5.860,98.950,1.050,30.16,224,0.875,bicubic
regnety_064,94.140,5.860,99.030,0.970,30.58,224,0.875,bicubic
ens_adv_inception_resnet_v2,94.130,5.870,98.790,1.210,55.84,299,0.897,bicubic
legacy_seresnext101_32x4d,94.130,5.870,98.970,1.030,48.96,224,0.875,bilinear
tf_efficientnet_lite3,94.130,5.870,98.960,1.040,8.20,300,0.904,bilinear
gluon_resnext101_32x4d,94.120,5.880,98.930,1.070,44.18,224,0.875,bicubic
cspdarknet53,94.090,5.910,98.980,1.020,27.64,256,0.887,bilinear
efficientnet_el_pruned,94.090,5.910,99.010,0.990,10.59,300,0.904,bicubic
cspdarknet53,94.090,5.910,98.980,1.020,27.64,256,0.887,bilinear
seresnet50,94.080,5.920,98.970,1.030,28.09,224,0.875,bicubic
resnet50d,94.070,5.930,98.920,1.080,25.58,224,0.875,bicubic
tf_efficientnetv2_b2,94.070,5.930,98.930,1.070,10.10,260,0.890,bicubic
@ -188,18 +205,18 @@ hrnet_w48,94.030,5.970,99.040,0.960,77.47,224,0.875,bilinear
resnetrs50,94.020,5.980,98.850,1.150,35.69,224,0.910,bicubic
gluon_xception65,94.010,5.990,99.020,0.980,39.92,299,0.903,bicubic
regnety_120,94.010,5.990,99.030,0.970,51.82,224,0.875,bicubic
deit_small_patch16_224,94.000,6.000,98.960,1.040,22.05,224,0.900,bicubic
dla102x2,94.000,6.000,99.030,0.970,41.28,224,0.875,bilinear
vit_deit_small_patch16_224,94.000,6.000,98.960,1.040,22.05,224,0.900,bicubic
dpn107,93.960,6.040,98.840,1.160,86.92,224,0.875,bicubic
skresnext50_32x4d,93.950,6.050,98.820,1.180,27.48,224,0.875,bicubic
ecaresnet26t,93.940,6.060,98.920,1.080,16.01,320,0.950,bicubic
cait_xxs36_224,93.940,6.060,98.890,1.110,17.30,224,1.000,bicubic
dpn98,93.940,6.060,98.920,1.080,61.57,224,0.875,bicubic
ecaresnet26t,93.940,6.060,98.920,1.080,16.01,320,0.950,bicubic
xception71,93.890,6.110,98.950,1.050,42.34,299,0.903,bicubic
regnety_080,93.890,6.110,99.000,1.000,39.18,224,0.875,bicubic
nf_regnet_b1,93.890,6.110,98.750,1.250,10.22,288,0.900,bicubic
regnetx_160,93.880,6.120,99.090,0.910,54.28,224,0.875,bicubic
gluon_resnet152_v1c,93.880,6.120,98.800,1.200,60.21,224,0.875,bicubic
regnetx_160,93.880,6.120,99.090,0.910,54.28,224,0.875,bicubic
nf_regnet_b1,93.880,6.120,98.740,1.260,10.22,288,0.900,bicubic
cspresnet50,93.860,6.140,98.870,1.130,21.62,256,0.887,bilinear
ese_vovnet39b,93.850,6.150,98.900,1.100,24.57,224,0.875,bicubic
resnext50_32x4d,93.840,6.160,98.830,1.170,25.03,224,0.875,bicubic
@ -207,35 +224,36 @@ hrnet_w64,93.830,6.170,98.930,1.070,128.06,224,0.875,bilinear
ecaresnet50d_pruned,93.820,6.180,99.000,1.000,19.94,224,0.875,bicubic
repvgg_b2g4,93.820,6.180,98.930,1.070,61.76,224,0.875,bilinear
resnext50d_32x4d,93.810,6.190,98.740,1.260,25.05,224,0.875,bicubic
dla169,93.800,6.200,98.840,1.160,53.39,224,0.875,bilinear
efficientnet_b2_pruned,93.800,6.200,98.910,1.090,8.31,260,0.890,bicubic
dla169,93.800,6.200,98.840,1.160,53.39,224,0.875,bilinear
regnetx_080,93.790,6.210,98.910,1.090,39.57,224,0.875,bicubic
resnext101_32x8d,93.770,6.230,98.950,1.050,88.79,224,0.875,bilinear
gluon_resnet101_v1b,93.760,6.240,98.700,1.300,44.55,224,0.875,bicubic
xception65,93.760,6.240,98.860,1.140,39.92,299,0.903,bicubic
cspresnext50,93.760,6.240,98.840,1.160,20.57,224,0.875,bilinear
dpn131,93.760,6.240,98.800,1.200,79.25,224,0.875,bicubic
gluon_resnet101_v1b,93.760,6.240,98.700,1.300,44.55,224,0.875,bicubic
xception65,93.760,6.240,98.860,1.140,39.92,299,0.903,bicubic
efficientnet_em,93.740,6.260,98.930,1.070,6.90,240,0.882,bicubic
tf_efficientnet_b0_ns,93.740,6.260,98.980,1.020,5.29,224,0.875,bicubic
wide_resnet101_2,93.730,6.270,98.810,1.190,126.89,224,0.875,bilinear
hrnet_w40,93.710,6.290,98.800,1.200,57.56,224,0.875,bilinear
levit_192,93.710,6.290,98.790,1.210,10.95,224,0.900,bicubic
resnetblur50,93.710,6.290,98.810,1.190,25.56,224,0.875,bicubic
tf_efficientnet_b1,93.710,6.290,98.800,1.200,7.79,240,0.882,bicubic
tf_efficientnetv2_b1,93.710,6.290,98.820,1.180,8.14,240,0.882,bicubic
tf_efficientnet_b1,93.710,6.290,98.800,1.200,7.79,240,0.882,bicubic
levit_192,93.710,6.290,98.790,1.210,10.95,224,0.900,bicubic
hrnet_w40,93.710,6.290,98.800,1.200,57.56,224,0.875,bilinear
gluon_resnet101_v1c,93.690,6.310,98.760,1.240,44.57,224,0.875,bicubic
regnetx_040,93.680,6.320,98.940,1.060,22.12,224,0.875,bicubic
rexnet_130,93.670,6.330,98.710,1.290,7.56,224,0.875,bicubic
gluon_resnext50_32x4d,93.650,6.350,98.690,1.310,25.03,224,0.875,bicubic
resmlp_36_224,93.650,6.350,98.950,1.050,44.69,224,0.875,bicubic
xception,93.640,6.360,98.770,1.230,22.86,299,0.897,bicubic
regnetx_064,93.630,6.370,99.050,0.950,26.21,224,0.875,bicubic
tf_efficientnet_b1_ap,93.630,6.370,98.800,1.200,7.79,240,0.882,bicubic
dpn68b,93.620,6.380,98.700,1.300,12.61,224,0.875,bicubic
hrnet_w44,93.620,6.380,98.960,1.040,67.06,224,0.875,bilinear
regnety_040,93.620,6.380,98.950,1.050,20.65,224,0.875,bicubic
dpn68b,93.620,6.380,98.700,1.300,12.61,224,0.875,bicubic
gluon_resnet50_v1s,93.590,6.410,98.840,1.160,25.68,224,0.875,bicubic
repvgg_b2,93.590,6.410,99.070,0.930,89.02,224,0.875,bilinear
res2net50_26w_6s,93.590,6.410,98.750,1.250,37.05,224,0.875,bilinear
gluon_resnet50_v1s,93.590,6.410,98.840,1.160,25.68,224,0.875,bicubic
dla60_res2next,93.570,6.430,98.800,1.200,17.03,224,0.875,bilinear
tf_efficientnet_cc_b1_8e,93.570,6.430,98.690,1.310,39.72,240,0.882,bicubic
gluon_inception_v3,93.540,6.460,98.830,1.170,23.83,299,0.875,bicubic
@ -247,10 +265,12 @@ selecsls60b,93.500,6.500,98.840,1.160,32.77,224,0.875,bicubic
cait_xxs24_224,93.490,6.510,98.770,1.230,11.96,224,1.000,bicubic
xception41,93.480,6.520,98.750,1.250,26.97,299,0.903,bicubic
resnet50,93.460,6.540,98.600,1.400,25.56,224,0.875,bicubic
coat_lite_mini,93.450,6.550,98.780,1.220,11.01,224,0.900,bicubic
res2net50_26w_8s,93.450,6.550,98.700,1.300,48.40,224,0.875,bilinear
coat_lite_mini,93.450,6.550,98.780,1.220,11.01,224,0.900,bicubic
legacy_seresnet152,93.440,6.560,98.850,1.150,66.82,224,0.875,bilinear
resmlp_24_224,93.440,6.560,98.810,1.190,30.02,224,0.875,bicubic
legacy_seresnext50_32x4d,93.430,6.570,98.800,1.200,27.56,224,0.875,bilinear
vit_tiny_patch16_384,93.420,6.580,98.830,1.170,5.79,384,1.000,bicubic
repvgg_b1,93.410,6.590,98.790,1.210,57.42,224,0.875,bilinear
dla60_res2net,93.380,6.620,98.860,1.140,20.85,224,0.875,bilinear
hrnet_w30,93.370,6.630,98.830,1.170,37.71,224,0.875,bilinear
@ -269,8 +289,8 @@ res2next50,93.150,6.850,98.660,1.340,24.67,224,0.875,bilinear
tf_efficientnetv2_b0,93.060,6.940,98.700,1.300,7.14,224,0.875,bicubic
levit_128,93.050,6.950,98.690,1.310,9.21,224,0.900,bicubic
tf_mixnet_l,93.040,6.960,98.540,1.460,7.33,224,0.875,bicubic
repvgg_b1g4,93.030,6.970,98.820,1.180,39.97,224,0.875,bilinear
res2net50_14w_8s,93.030,6.970,98.700,1.300,25.06,224,0.875,bilinear
repvgg_b1g4,93.030,6.970,98.820,1.180,39.97,224,0.875,bilinear
efficientnet_b1,93.030,6.970,98.710,1.290,7.79,256,1.000,bicubic
adv_inception_v3,93.010,6.990,98.490,1.510,23.83,299,0.875,bicubic
selecsls60,93.010,6.990,98.830,1.170,30.67,224,0.875,bicubic
@ -286,6 +306,7 @@ tv_resnext50_32x4d,92.900,7.100,98.720,1.280,25.03,224,0.875,bilinear
inception_v3,92.900,7.100,98.330,1.670,23.83,299,0.875,bicubic
densenet161,92.900,7.100,98.810,1.190,28.68,224,0.875,bicubic
tv_resnet101,92.880,7.120,98.660,1.340,44.55,224,0.875,bilinear
resmlp_12_distilled_224,92.870,7.130,98.630,1.370,15.35,224,0.875,bicubic
tf_efficientnet_cc_b0_8e,92.870,7.130,98.460,1.540,24.01,224,0.875,bicubic
coat_lite_tiny,92.850,7.150,98.640,1.360,5.72,224,0.900,bicubic
rexnet_100,92.850,7.150,98.620,1.380,4.80,224,0.875,bicubic
@ -295,22 +316,22 @@ res2net50_48w_2s,92.790,7.210,98.470,1.530,25.29,224,0.875,bilinear
hrnet_w18,92.760,7.240,98.660,1.340,21.30,224,0.875,bilinear
densenet201,92.690,7.310,98.650,1.350,20.01,224,0.875,bicubic
repvgg_a2,92.680,7.320,98.520,1.480,28.21,224,0.875,bilinear
legacy_seresnet50,92.670,7.330,98.650,1.350,28.09,224,0.875,bilinear
gmixer_24_224,92.680,7.320,98.280,1.720,24.72,224,0.875,bicubic
dla60,92.670,7.330,98.630,1.370,22.04,224,0.875,bilinear
legacy_seresnet50,92.670,7.330,98.650,1.350,28.09,224,0.875,bilinear
resnet34d,92.640,7.360,98.420,1.580,21.82,224,0.875,bicubic
tf_efficientnet_b0_ap,92.610,7.390,98.370,1.630,5.29,224,0.875,bicubic
mobilenetv2_120d,92.610,7.390,98.510,1.490,5.83,224,0.875,bicubic
tf_efficientnet_b0_ap,92.610,7.390,98.370,1.630,5.29,224,0.875,bicubic
hardcorenas_d,92.600,7.400,98.430,1.570,7.50,224,0.875,bilinear
vit_small_patch16_224,92.600,7.400,98.390,1.610,48.75,224,0.900,bicubic
tf_efficientnet_lite2,92.590,7.410,98.550,1.450,6.09,260,0.890,bicubic
legacy_seresnext26_32x4d,92.570,7.430,98.420,1.580,16.79,224,0.875,bicubic
skresnet34,92.570,7.430,98.520,1.480,22.28,224,0.875,bicubic
gluon_resnet50_v1b,92.560,7.440,98.550,1.450,25.56,224,0.875,bicubic
regnetx_016,92.540,7.460,98.550,1.450,9.19,224,0.875,bicubic
efficientnet_b0,92.480,7.520,98.680,1.320,5.29,224,0.875,bicubic
selecsls42b,92.480,7.520,98.440,1.560,32.46,224,0.875,bicubic
seresnext26d_32x4d,92.440,7.560,98.540,1.460,16.81,224,0.875,bicubic
efficientnet_b0,92.480,7.520,98.680,1.320,5.29,224,0.875,bicubic
gernet_s,92.440,7.560,98.500,1.500,8.17,224,0.875,bilinear
seresnext26d_32x4d,92.440,7.560,98.540,1.460,16.81,224,0.875,bicubic
densenetblur121d,92.400,7.600,98.410,1.590,8.00,224,0.875,bicubic
tf_efficientnet_b0,92.400,7.600,98.470,1.530,5.29,224,0.875,bicubic
hardcorenas_c,92.330,7.670,98.340,1.660,5.52,224,0.875,bilinear
@ -321,17 +342,21 @@ mobilenetv3_large_100_miil,92.250,7.750,98.250,1.750,5.48,224,0.875,bilinear
dpn68,92.240,7.760,98.610,1.390,12.61,224,0.875,bicubic
resnet26d,92.230,7.770,98.450,1.550,16.01,224,0.875,bicubic
tf_mixnet_m,92.200,7.800,98.420,1.580,5.01,224,0.875,bicubic
vit_small_patch32_224,92.150,7.850,98.510,1.490,22.88,224,0.900,bicubic
tv_resnet50,92.140,7.860,98.420,1.580,25.56,224,0.875,bilinear
resmlp_12_224,92.120,7.880,98.570,1.430,15.35,224,0.875,bicubic
tf_efficientnet_es,92.100,7.900,98.440,1.560,5.44,224,0.875,bicubic
mobilenetv2_140,92.030,7.970,98.250,1.750,6.11,224,0.875,bicubic
ese_vovnet19b_dw,92.010,7.990,98.510,1.490,6.54,224,0.875,bicubic
densenet121,91.940,8.060,98.280,1.720,7.98,224,0.875,bicubic
hardcorenas_b,91.940,8.060,98.400,1.600,5.18,224,0.875,bilinear
vit_tiny_patch16_224,91.930,8.070,98.340,1.660,5.72,224,0.900,bicubic
regnety_008,91.900,8.100,98.420,1.580,6.26,224,0.875,bicubic
mixnet_s,91.780,8.220,98.300,1.700,4.13,224,0.875,bicubic
vit_tiny_r_s16_p8_384,91.730,8.270,98.430,1.570,6.36,384,1.000,bicubic
efficientnet_es_pruned,91.700,8.300,98.420,1.580,5.44,224,0.875,bicubic
repvgg_b0,91.680,8.320,98.450,1.550,15.82,224,0.875,bilinear
tf_mixnet_s,91.680,8.320,98.240,1.760,4.13,224,0.875,bicubic
repvgg_b0,91.680,8.320,98.450,1.550,15.82,224,0.875,bilinear
semnasnet_100,91.660,8.340,98.270,1.730,3.89,224,0.875,bicubic
hardcorenas_a,91.620,8.380,98.170,1.830,5.26,224,0.875,bilinear
regnety_006,91.570,8.430,98.430,1.570,6.06,224,0.875,bicubic
@ -353,10 +378,10 @@ regnetx_008,91.180,8.820,98.380,1.620,7.26,224,0.875,bicubic
hrnet_w18_small_v2,91.170,8.830,98.340,1.660,15.60,224,0.875,bilinear
mixer_b16_224,91.140,8.860,97.400,2.600,59.88,224,0.875,bicubic
resnest14d,91.130,8.870,98.330,1.670,10.61,224,0.875,bilinear
deit_tiny_distilled_patch16_224,91.100,8.900,98.270,1.730,5.91,224,0.900,bicubic
gluon_resnet34_v1b,91.100,8.900,98.180,1.820,21.80,224,0.875,bicubic
vit_deit_tiny_distilled_patch16_224,91.100,8.900,98.270,1.730,5.91,224,0.900,bicubic
swsl_resnet18,91.090,8.910,98.210,1.790,11.69,224,0.875,bilinear
vgg19_bn,90.990,9.010,98.110,1.890,143.68,224,0.875,bilinear
vgg19_bn,91.000,9.000,98.110,1.890,143.68,224,0.875,bilinear
pit_ti_distilled_224,90.900,9.100,98.220,1.780,5.10,224,0.900,bicubic
regnety_004,90.780,9.220,98.080,1.920,4.34,224,0.875,bicubic
regnetx_006,90.760,9.240,98.100,1.900,6.20,224,0.875,bicubic
@ -373,9 +398,10 @@ resnet18d,89.990,10.010,97.830,2.170,11.71,224,0.875,bicubic
hrnet_w18_small,89.880,10.120,97.900,2.100,13.19,224,0.875,bilinear
mobilenetv2_100,89.830,10.170,97.830,2.170,3.50,224,0.875,bicubic
vgg19,89.680,10.320,97.550,2.450,143.67,224,0.875,bilinear
vit_deit_tiny_patch16_224,89.620,10.380,97.960,2.040,5.72,224,0.900,bicubic
deit_tiny_patch16_224,89.620,10.380,97.960,2.040,5.72,224,0.900,bicubic
regnetx_004,89.460,10.540,97.770,2.230,5.16,224,0.875,bicubic
vgg16,89.360,10.640,97.520,2.480,138.36,224,0.875,bilinear
vit_tiny_r_s16_p8_224,89.340,10.660,97.700,2.300,6.34,224,0.900,bicubic
legacy_seresnet18,89.270,10.730,97.680,2.320,11.78,224,0.875,bicubic
vgg13_bn,89.200,10.800,97.530,2.470,133.05,224,0.875,bilinear
tf_mobilenetv3_large_minimal_100,89.180,10.820,97.320,2.680,3.92,224,0.875,bilinear

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
2 tf_efficientnet_l2_ns 97.780 2.220 99.890 0.110 480.31 800 0.960 bicubic
3 tf_efficientnet_l2_ns_475 97.750 2.250 99.820 0.180 480.31 475 0.936 bicubic
4 vit_large_patch16_384 97.420 2.580 99.780 0.220 304.72 384 1.000 bicubic
5 tf_efficientnet_b7_ns 97.200 2.800 99.700 0.300 66.35 600 0.949 bicubic
6 swin_large_patch4_window12_384 97.170 2.830 99.680 0.320 196.74 384 1.000 bicubic
7 swin_base_patch4_window12_384 97.120 2.880 99.780 0.220 87.90 384 1.000 bicubic
8 tf_efficientnetv2_l_in21ft1k 97.110 2.890 99.710 0.290 118.52 480 1.000 bicubic
9 tf_efficientnet_b6_ns 97.020 2.980 99.710 0.290 43.04 528 0.942 bicubic
10 dm_nfnet_f6 vit_base_patch16_384 96.990 97.020 3.010 2.980 99.740 99.710 0.260 0.290 438.36 86.86 576 384 0.956 1.000 bicubic
11 ig_resnext101_32x48d 96.970 3.030 99.670 0.330 828.41 224 0.875 bilinear
12 tf_efficientnetv2_m_in21ft1k 96.970 3.030 99.610 0.390 54.14 480 1.000 bicubic
13 swin_large_patch4_window7_224 96.950 3.050 99.660 0.340 196.53 224 0.900 bicubic
14 resnetv2_152x4_bitm vit_large_r50_s32_384 96.880 96.950 3.120 3.050 99.660 99.710 0.340 0.290 936.53 329.09 480 384 1.000 bilinear bicubic
15 dm_nfnet_f6 96.920 3.080 99.720 0.280 438.36 576 0.956 bicubic
16 cait_m48_448 96.880 3.120 99.620 0.380 356.46 448 1.000 bicubic
17 resnetv2_152x4_bitm 96.870 3.130 99.660 0.340 936.53 480 1.000 bilinear
18 tf_efficientnet_b5_ns 96.870 3.130 99.640 0.360 30.39 456 0.934 bicubic
19 cait_m36_384 96.830 3.170 99.660 0.340 271.22 384 1.000 bicubic
20 dm_nfnet_f4 dm_nfnet_f5 96.820 96.810 3.180 3.190 99.600 99.670 0.400 0.330 316.07 377.21 512 544 0.951 0.954 bicubic
21 dm_nfnet_f4 96.780 3.220 99.620 0.380 316.07 512 0.951 bicubic
22 ig_resnext101_32x32d 96.780 3.220 99.530 0.470 468.53 224 0.875 bilinear
23 dm_nfnet_f5 dm_nfnet_f3 96.710 96.730 3.290 3.270 99.680 99.630 0.320 0.370 377.21 254.92 544 416 0.954 0.940 bicubic
24 tf_efficientnet_b4_ns 96.710 3.290 99.640 0.360 19.34 380 0.922 bicubic
25 vit_large_patch16_224 96.710 3.290 99.650 0.350 304.33 224 0.900 bicubic
26 tf_efficientnet_b8 96.700 3.300 99.530 0.470 87.41 672 0.954 bicubic
27 swin_base_patch4_window7_224 96.680 3.320 99.660 0.340 87.77 224 0.900 bicubic
28 tf_efficientnetv2_l 96.650 3.350 99.560 0.440 118.52 480 1.000 bicubic
29 cait_s36_384 96.630 3.370 99.600 0.400 68.37 384 1.000 bicubic
dm_nfnet_f3 96.630 3.370 99.640 0.360 254.92 416 0.940 bicubic
30 tf_efficientnet_b7 96.580 3.420 99.510 0.490 66.35 600 0.949 bicubic
31 cait_s24_384 96.570 3.430 99.550 0.450 47.06 384 1.000 bicubic
32 tf_efficientnet_b8_ap 96.550 3.450 99.540 0.460 87.41 672 0.954 bicubic
33 tf_efficientnetv2_m 96.550 3.450 99.570 0.430 54.14 480 1.000 bicubic
34 vit_deit_base_distilled_patch16_384 resnetv2_152x2_bitm 96.510 96.520 3.490 3.480 99.590 0.410 87.63 236.34 384 448 1.000 bicubic bilinear
35 dm_nfnet_f2 deit_base_distilled_patch16_384 96.500 96.510 3.500 3.490 99.570 99.590 0.430 0.410 193.78 87.63 352 384 0.920 1.000 bicubic
resnetv2_152x2_bitm 96.500 3.500 99.620 0.380 236.34 480 1.000 bilinear
36 tf_efficientnetv2_s_in21ft1k 96.470 3.530 99.570 0.430 21.46 384 1.000 bicubic
37 dm_nfnet_f2 96.460 3.540 99.540 0.460 193.78 352 0.920 bicubic
38 ecaresnet269d 96.460 3.540 99.610 0.390 102.09 352 1.000 bicubic
39 eca_nfnet_l2 96.450 3.550 99.620 0.380 56.72 384 1.000 bicubic
40 vit_base_r50_s16_384 96.450 3.550 99.660 0.340 98.95 384 1.000 bicubic
41 ig_resnext101_32x16d 96.440 3.560 99.540 0.460 194.03 224 0.875 bilinear
42 resnetrs420 96.400 3.600 99.540 0.460 191.89 416 1.000 bicubic
43 dm_nfnet_f1 96.390 3.610 99.470 0.530 132.63 320 0.910 bicubic
44 tf_efficientnet_b6_ap 96.370 3.630 99.550 0.450 43.04 528 0.942 bicubic
45 dm_nfnet_f1 resmlp_big_24_224_in22ft1k 96.370 96.350 3.630 3.650 99.470 99.520 0.530 0.480 132.63 129.14 320 224 0.910 0.875 bicubic
resnetv2_101x3_bitm 96.360 3.640 99.600 0.400 387.93 480 1.000 bilinear
vit_large_patch16_384 96.360 3.640 99.630 0.370 304.72 384 1.000 bicubic
46 tf_efficientnet_b7_ap 96.350 3.650 99.590 0.410 66.35 600 0.949 bicubic
47 seresnet152d 96.310 3.690 99.510 0.490 66.84 320 1.000 bicubic
48 vit_base_patch16_224 96.300 3.700 99.560 0.440 86.57 224 0.900 bicubic
49 tf_efficientnet_b6 96.290 3.710 99.520 0.480 43.04 528 0.942 bicubic
50 efficientnetv2_rw_m 96.270 3.730 99.560 0.440 53.24 416 1.000 bicubic
51 resnetv2_50x3_bitm 96.270 3.730 99.630 0.370 217.32 448 1.000 bilinear
52 swsl_resnext101_32x16d 96.270 3.730 99.500 0.500 194.03 224 0.875 bilinear
53 resnetrs350 resnetv2_101x3_bitm 96.240 96.250 3.760 3.750 99.470 99.590 0.530 0.410 163.96 387.93 384 448 1.000 bicubic bilinear
54 swsl_resnext101_32x8d 96.240 3.760 99.590 0.410 88.79 224 0.875 bilinear
55 vit_base_patch16_384 resnetrs350 96.190 96.240 3.810 3.760 99.530 99.470 0.470 0.530 86.86 163.96 384 1.000 bicubic
56 resnetv2_50x3_bitm resnetv2_152x2_bit_teacher_384 96.140 96.190 3.860 3.810 99.620 99.500 0.380 0.500 217.32 236.34 480 384 1.000 bilinear bicubic
57 vit_large_r50_s32_224 96.180 3.820 99.530 0.470 328.99 224 0.900 bicubic
58 resnest269e 96.120 3.880 99.520 0.480 110.93 416 0.928 bicubic
59 resnet200d 96.110 3.890 99.460 0.540 64.69 320 1.000 bicubic
60 tf_efficientnet_b3_ns 96.100 3.900 99.480 0.520 12.23 300 0.904 bicubic
62 pit_b_distilled_224 96.070 3.930 99.380 0.620 74.79 224 0.900 bicubic
63 resnest200e 96.070 3.930 99.480 0.520 70.20 320 0.909 bicubic
64 resnetrs270 96.060 3.940 99.490 0.510 129.86 352 1.000 bicubic
65 vit_small_r26_s32_384 96.060 3.940 99.560 0.440 36.47 384 1.000 bicubic
66 swsl_resnext101_32x4d 96.050 3.950 99.530 0.470 44.18 224 0.875 bilinear
67 vit_base_patch16_224_miil 96.030 3.970 99.350 0.650 86.54 224 0.875 bilinear
68 cait_xs24_384 96.010 3.990 99.430 0.570 26.67 384 1.000 bicubic
69 resnetrs200 95.990 4.010 99.440 0.560 93.21 320 1.000 bicubic
70 tf_efficientnet_b5 95.980 4.020 99.450 0.550 30.39 456 0.934 bicubic
71 vit_small_patch16_384 95.980 4.020 99.590 0.410 22.20 384 1.000 bicubic
72 resnetrs152 95.960 4.040 99.380 0.620 86.62 320 1.000 bicubic
73 eca_nfnet_l1 95.930 95.940 4.070 4.060 99.500 99.490 0.500 0.510 41.41 320 1.000 bicubic
74 ig_resnext101_32x8d 95.930 4.070 99.380 0.620 88.79 224 0.875 bilinear
75 vit_base_patch32_384 95.900 4.100 99.440 0.560 88.30 384 1.000 bicubic
76 regnety_160 95.880 4.120 99.560 0.440 83.59 288 1.000 bicubic
77 resmlp_big_24_distilled_224 95.870 4.130 99.440 0.560 129.14 224 0.875 bicubic
78 resnet152d 95.870 4.130 99.430 0.570 60.21 320 1.000 bicubic
79 resnet101d 95.750 4.250 99.440 0.560 44.57 320 1.000 bicubic
80 vit_deit_base_distilled_patch16_224 resnetv2_152x2_bit_teacher 95.750 4.250 99.280 99.430 0.720 0.570 87.34 236.34 224 0.900 0.875 bicubic
81 swin_small_patch4_window7_224 deit_base_distilled_patch16_224 95.720 95.750 4.280 4.250 99.290 99.280 0.710 0.720 49.61 87.34 224 0.900 bicubic
82 twins_pcpvt_large 95.720 4.280 99.490 0.510 60.99 224 0.900 bicubic
83 twins_svt_large 95.720 4.280 99.370 0.630 99.27 224 0.900 bicubic
84 swin_small_patch4_window7_224 95.720 4.280 99.290 0.710 49.61 224 0.900 bicubic
85 efficientnetv2_rw_s 95.710 4.290 99.380 0.620 23.94 384 1.000 bicubic
86 tf_efficientnetv2_s 95.710 4.290 99.400 0.600 21.46 384 1.000 bicubic
87 vit_deit_base_patch16_384 dm_nfnet_f0 95.650 95.690 4.350 4.310 99.240 99.330 0.760 0.670 86.86 71.49 384 256 1.000 0.900 bicubic
88 cait_s24_224 95.650 4.350 99.390 0.610 46.92 224 1.000 bicubic
89 dm_nfnet_f0 deit_base_patch16_384 95.630 95.650 4.370 4.350 99.300 99.240 0.700 0.760 71.49 86.86 256 384 0.900 1.000 bicubic
90 swsl_resnext50_32x4d 95.620 4.380 99.440 0.560 25.03 224 0.875 bilinear
91 tf_efficientnet_b4 95.590 4.410 99.330 0.670 19.34 380 0.922 bicubic
92 resnest101e 95.570 4.430 99.270 0.730 48.28 256 0.875 bilinear
93 twins_svt_base 95.570 4.430 99.230 0.770 56.07 224 0.900 bicubic
efficientnet_b4 95.520 4.480 99.390 0.610 19.34 384 1.000 bicubic
94 tf_efficientnet_b2_ns 95.520 4.480 99.340 0.660 9.11 260 0.890 bicubic
95 resnetv2_101x1_bitm efficientnet_b4 95.510 95.520 4.490 4.480 99.510 99.390 0.490 0.610 44.54 19.34 480 384 1.000 bilinear bicubic
96 tresnet_xl_448 95.510 4.490 99.340 0.660 78.44 448 0.875 bilinear
97 tf_efficientnet_b4_ap 95.490 4.510 99.390 0.610 19.34 380 0.922 bicubic
98 regnety_032 95.470 4.530 99.320 0.680 19.44 288 1.000 bicubic
eca_nfnet_l0 95.470 4.530 99.380 0.620 24.14 288 1.000 bicubic
99 twins_pcpvt_base 95.460 4.540 99.390 0.610 43.83 224 0.900 bicubic
100 eca_nfnet_l0 95.450 4.550 99.390 0.610 24.14 288 1.000 bicubic
101 ssl_resnext101_32x16d 95.410 4.590 99.410 0.590 194.03 224 0.875 bilinear
102 tresnet_l_448 95.410 4.590 99.300 0.700 55.99 448 0.875 bilinear
103 nfnet_l0 95.390 4.610 99.420 0.580 35.07 288 1.000 bicubic
104 resnetv2_50x1_bit_distilled 95.390 4.610 99.430 0.570 25.55 224 0.875 bicubic
105 tresnet_m 95.380 4.620 99.150 0.850 31.39 224 0.875 bilinear
106 pnasnet5large 95.360 4.640 99.130 0.870 86.06 331 0.911 bicubic
107 ssl_resnext101_32x8d 95.340 4.660 99.320 0.680 88.79 224 0.875 bilinear
108 vit_large_patch16_224 resnetv2_101x1_bitm 95.290 95.320 4.710 4.680 99.310 99.370 0.690 0.630 304.33 44.54 224 448 0.900 1.000 bicubic bilinear
vit_base_patch32_384 95.260 4.740 99.180 0.820 88.30 384 1.000 bicubic
109 resnetrs101 95.250 4.750 99.210 0.790 63.62 288 0.940 bicubic
110 vit_large_patch32_384 95.240 4.760 99.320 0.680 306.63 384 1.000 bicubic
111 cait_xxs36_384 95.220 4.780 99.320 0.680 17.37 384 1.000 bicubic
112 levit_384 95.210 4.790 99.160 0.840 39.13 224 0.900 bicubic
vit_base_patch16_224 95.210 4.790 99.230 0.770 86.57 224 0.900 bicubic
113 resnet51q 95.200 4.800 99.280 0.720 35.70 288 1.000 bilinear
114 swsl_resnet50 95.200 4.800 99.390 0.610 25.56 224 0.875 bilinear
115 ecaresnet101d 95.160 4.840 99.230 0.770 44.57 224 0.875 bicubic
116 ssl_resnext101_32x4d 95.160 4.840 99.300 0.700 44.18 224 0.875 bilinear
117 nasnetalarge 95.150 4.850 99.130 0.870 88.75 331 0.911 bicubic
118 efficientnet_b3 95.140 4.860 99.210 0.790 12.23 320 1.000 bicubic
119 vit_small_r26_s32_224 95.130 4.870 99.220 0.780 36.43 224 0.900 bicubic
120 tf_efficientnetv2_b3 95.120 4.880 99.200 0.800 14.36 300 0.904 bicubic
121 convit_base 95.100 4.900 99.140 0.860 86.54 224 0.875 bicubic
122 coat_lite_small 95.080 4.920 99.020 0.980 19.84 224 0.900 bicubic
123 ecaresnet50t 95.070 4.930 99.290 0.710 25.57 320 0.950 bicubic
124 tresnet_xl 95.060 4.940 99.260 0.740 78.44 224 0.875 bilinear
125 vit_deit_base_patch16_224 deit_base_patch16_224 95.010 4.990 98.980 1.020 86.57 224 0.900 bicubic
126 tf_efficientnet_b3_ap 94.970 5.030 99.110 0.890 12.23 300 0.904 bicubic
127 visformer_small 94.960 5.040 99.210 0.790 40.22 224 0.900 bicubic
128 gernet_l 94.930 5.070 99.200 0.800 31.08 256 0.875 bilinear
130 convit_small 94.920 5.080 99.110 0.890 27.78 224 0.875 bicubic
131 tf_efficientnet_b3 94.910 5.090 99.110 0.890 12.23 300 0.904 bicubic
132 tresnet_l 94.900 5.100 99.030 0.970 55.99 224 0.875 bilinear
133 vit_small_patch16_224 94.880 5.120 99.270 0.730 22.05 224 0.900 bicubic
134 mixer_b16_224_miil 94.880 5.120 99.080 0.920 59.88 224 0.875 bilinear
135 tf_efficientnet_lite4 94.870 5.130 99.090 0.910 13.01 380 0.920 bilinear
136 tf_efficientnet_b1_ns 94.860 5.140 99.250 0.750 7.79 240 0.882 bicubic
140 twins_svt_small 94.770 5.230 99.080 0.920 24.06 224 0.900 bicubic
141 legacy_senet154 94.730 5.270 99.100 0.900 115.09 224 0.875 bilinear
142 pit_s_distilled_224 94.730 5.270 99.190 0.810 24.04 224 0.900 bicubic
143 resnetv2_50x1_bitm 94.730 5.270 99.180 0.820 25.55 448 1.000 bilinear
144 gluon_resnet152_v1s 94.720 5.280 99.060 0.940 60.32 224 0.875 bicubic
145 gluon_senet154 94.710 5.290 98.970 1.030 115.09 224 0.875 bicubic
146 resnest50d_4s2x40d 94.710 5.290 99.130 0.870 30.42 224 0.875 bicubic
147 ssl_resnext50_32x4d 94.700 5.300 99.240 0.760 25.03 224 0.875 bilinear
148 efficientnet_el 94.670 5.330 99.130 0.870 10.59 300 0.904 bicubic
149 wide_resnet50_2 94.670 5.330 99.050 0.950 68.88 224 0.875 bicubic
tresnet_m_448 94.660 5.340 99.150 0.850 31.39 448 0.875 bilinear
150 rexnet_200 94.660 5.340 99.090 0.910 16.37 224 0.875 bicubic
151 tresnet_m_448 94.660 5.340 99.150 0.850 31.39 448 0.875 bilinear
152 gluon_seresnext101_64x4d 94.650 5.350 98.980 1.020 88.23 224 0.875 bicubic
153 resnest50d 94.620 5.380 99.030 0.970 27.48 224 0.875 bilinear
154 swin_tiny_patch4_window7_224 94.620 5.380 99.120 0.880 28.29 224 0.900 bicubic
155 twins_pcpvt_small 94.600 5.400 99.150 0.850 24.11 224 0.900 bicubic
156 deit_small_distilled_patch16_224 94.590 5.410 99.100 0.900 22.44 224 0.900 bicubic
157 pit_s_224 94.590 5.410 98.930 1.070 23.46 224 0.900 bicubic
158 vit_deit_small_distilled_patch16_224 vit_small_patch32_384 94.590 5.410 99.100 99.140 0.900 0.860 22.44 22.92 224 384 0.900 1.000 bicubic
efficientnet_b3_pruned 94.580 5.420 99.070 0.930 9.86 300 0.904 bicubic
159 tnt_s_patch16_224 94.580 5.420 99.180 0.820 23.76 224 0.900 bicubic
160 efficientnet_b3_pruned 94.580 5.420 99.070 0.930 9.86 300 0.904 bicubic
161 resmlp_36_distilled_224 94.570 5.430 99.160 0.840 44.69 224 0.875 bicubic
162 gernet_m 94.550 5.450 98.930 1.070 21.14 224 0.875 bilinear
163 repvgg_b3 94.550 5.450 98.910 1.090 123.09 224 0.875 bilinear
resnetv2_50x1_bitm 94.550 5.450 99.250 0.750 25.55 480 1.000 bilinear
164 regnety_320 94.520 5.480 99.170 0.830 145.05 224 0.875 bicubic
165 repvgg_b3g4 94.490 5.510 99.020 0.980 83.83 224 0.875 bilinear
gluon_seresnext101_32x4d 94.450 5.550 99.090 0.910 48.96 224 0.875 bicubic
166 ecaresnet101d_pruned 94.450 5.550 99.100 0.900 24.88 224 0.875 bicubic
167 gluon_seresnext101_32x4d 94.450 5.550 99.090 0.910 48.96 224 0.875 bicubic
168 gluon_resnet152_v1d 94.440 5.560 99.010 0.990 60.21 224 0.875 bicubic
nf_resnet50 94.410 5.590 99.100 0.900 25.56 288 0.940 bicubic
169 levit_256 94.400 5.600 99.060 0.940 18.89 224 0.900 bicubic
170 nf_resnet50 94.400 5.600 99.070 0.930 25.56 288 0.940 bicubic
171 vit_base_patch32_224 94.390 5.610 99.060 0.940 88.22 224 0.900 bicubic
172 resnest50d_1s4x24d 94.390 5.610 99.070 0.930 25.68 224 0.875 bicubic
173 inception_v4 94.380 5.620 98.820 1.180 42.68 299 0.875 bicubic
174 efficientnet_b2 94.370 5.630 99.050 0.950 9.11 288 1.000 bicubic
175 tf_efficientnet_el 94.360 5.640 99.100 0.900 10.59 300 0.904 bicubic
176 gluon_resnext101_64x4d 94.350 5.650 98.880 1.120 83.46 224 0.875 bicubic
177 inception_resnet_v2 94.340 5.660 98.800 1.200 55.84 299 0.897 bicubic
178 resmlp_24_distilled_224 94.330 5.670 99.090 0.910 30.02 224 0.875 bicubic
179 ssl_resnet50 94.310 5.690 99.150 0.850 25.56 224 0.875 bilinear
180 regnetx_120 94.270 5.730 99.190 0.810 46.11 224 0.875 bicubic
tf_efficientnet_b2_ap 94.270 5.730 98.950 1.050 9.11 260 0.890 bicubic
181 rexnet_150 94.270 5.730 99.080 0.920 9.73 224 0.875 bicubic
182 tf_efficientnet_b2_ap 94.270 5.730 98.950 1.050 9.11 260 0.890 bicubic
183 resmlp_big_24_224 94.260 5.740 98.820 1.180 129.14 224 0.875 bicubic
184 mixnet_xl 94.230 5.770 98.820 1.180 11.90 224 0.875 bicubic
regnetx_320 94.210 5.790 99.050 0.950 107.81 224 0.875 bicubic
185 tf_efficientnet_b2 94.210 5.790 99.030 0.970 9.11 260 0.890 bicubic
186 regnetx_320 94.210 5.790 99.050 0.950 107.81 224 0.875 bicubic
187 dpn92 94.190 5.810 98.930 1.070 37.67 224 0.875 bicubic
188 ecaresnet50d 94.190 5.810 99.020 0.980 25.58 224 0.875 bicubic
189 gluon_resnet101_v1d 94.170 5.830 98.940 1.060 44.57 224 0.875 bicubic
190 gluon_resnet101_v1s 94.170 5.830 99.010 0.990 44.67 224 0.875 bicubic
191 gluon_seresnext50_32x4d 94.170 5.830 98.910 1.090 27.56 224 0.875 bicubic
regnety_064 94.140 5.860 99.030 0.970 30.58 224 0.875 bicubic
192 ecaresnetlight 94.140 5.860 98.950 1.050 30.16 224 0.875 bicubic
193 regnety_064 94.140 5.860 99.030 0.970 30.58 224 0.875 bicubic
194 ens_adv_inception_resnet_v2 94.130 5.870 98.790 1.210 55.84 299 0.897 bicubic
195 legacy_seresnext101_32x4d 94.130 5.870 98.970 1.030 48.96 224 0.875 bilinear
196 tf_efficientnet_lite3 94.130 5.870 98.960 1.040 8.20 300 0.904 bilinear
197 gluon_resnext101_32x4d 94.120 5.880 98.930 1.070 44.18 224 0.875 bicubic
cspdarknet53 94.090 5.910 98.980 1.020 27.64 256 0.887 bilinear
198 efficientnet_el_pruned 94.090 5.910 99.010 0.990 10.59 300 0.904 bicubic
199 cspdarknet53 94.090 5.910 98.980 1.020 27.64 256 0.887 bilinear
200 seresnet50 94.080 5.920 98.970 1.030 28.09 224 0.875 bicubic
201 resnet50d 94.070 5.930 98.920 1.080 25.58 224 0.875 bicubic
202 tf_efficientnetv2_b2 94.070 5.930 98.930 1.070 10.10 260 0.890 bicubic
205 resnetrs50 94.020 5.980 98.850 1.150 35.69 224 0.910 bicubic
206 gluon_xception65 94.010 5.990 99.020 0.980 39.92 299 0.903 bicubic
207 regnety_120 94.010 5.990 99.030 0.970 51.82 224 0.875 bicubic
208 deit_small_patch16_224 94.000 6.000 98.960 1.040 22.05 224 0.900 bicubic
209 dla102x2 94.000 6.000 99.030 0.970 41.28 224 0.875 bilinear
vit_deit_small_patch16_224 94.000 6.000 98.960 1.040 22.05 224 0.900 bicubic
210 dpn107 93.960 6.040 98.840 1.160 86.92 224 0.875 bicubic
211 skresnext50_32x4d 93.950 6.050 98.820 1.180 27.48 224 0.875 bicubic
212 ecaresnet26t 93.940 6.060 98.920 1.080 16.01 320 0.950 bicubic
213 cait_xxs36_224 93.940 6.060 98.890 1.110 17.30 224 1.000 bicubic
214 dpn98 93.940 6.060 98.920 1.080 61.57 224 0.875 bicubic
ecaresnet26t 93.940 6.060 98.920 1.080 16.01 320 0.950 bicubic
215 xception71 93.890 6.110 98.950 1.050 42.34 299 0.903 bicubic
216 regnety_080 93.890 6.110 99.000 1.000 39.18 224 0.875 bicubic
nf_regnet_b1 93.890 6.110 98.750 1.250 10.22 288 0.900 bicubic
regnetx_160 93.880 6.120 99.090 0.910 54.28 224 0.875 bicubic
217 gluon_resnet152_v1c 93.880 6.120 98.800 1.200 60.21 224 0.875 bicubic
218 regnetx_160 93.880 6.120 99.090 0.910 54.28 224 0.875 bicubic
219 nf_regnet_b1 93.880 6.120 98.740 1.260 10.22 288 0.900 bicubic
220 cspresnet50 93.860 6.140 98.870 1.130 21.62 256 0.887 bilinear
221 ese_vovnet39b 93.850 6.150 98.900 1.100 24.57 224 0.875 bicubic
222 resnext50_32x4d 93.840 6.160 98.830 1.170 25.03 224 0.875 bicubic
224 ecaresnet50d_pruned 93.820 6.180 99.000 1.000 19.94 224 0.875 bicubic
225 repvgg_b2g4 93.820 6.180 98.930 1.070 61.76 224 0.875 bilinear
226 resnext50d_32x4d 93.810 6.190 98.740 1.260 25.05 224 0.875 bicubic
dla169 93.800 6.200 98.840 1.160 53.39 224 0.875 bilinear
227 efficientnet_b2_pruned 93.800 6.200 98.910 1.090 8.31 260 0.890 bicubic
228 dla169 93.800 6.200 98.840 1.160 53.39 224 0.875 bilinear
229 regnetx_080 93.790 6.210 98.910 1.090 39.57 224 0.875 bicubic
230 resnext101_32x8d 93.770 6.230 98.950 1.050 88.79 224 0.875 bilinear
gluon_resnet101_v1b 93.760 6.240 98.700 1.300 44.55 224 0.875 bicubic
xception65 93.760 6.240 98.860 1.140 39.92 299 0.903 bicubic
231 cspresnext50 93.760 6.240 98.840 1.160 20.57 224 0.875 bilinear
232 dpn131 93.760 6.240 98.800 1.200 79.25 224 0.875 bicubic
233 gluon_resnet101_v1b 93.760 6.240 98.700 1.300 44.55 224 0.875 bicubic
234 xception65 93.760 6.240 98.860 1.140 39.92 299 0.903 bicubic
235 efficientnet_em 93.740 6.260 98.930 1.070 6.90 240 0.882 bicubic
236 tf_efficientnet_b0_ns 93.740 6.260 98.980 1.020 5.29 224 0.875 bicubic
237 wide_resnet101_2 93.730 6.270 98.810 1.190 126.89 224 0.875 bilinear
hrnet_w40 93.710 6.290 98.800 1.200 57.56 224 0.875 bilinear
levit_192 93.710 6.290 98.790 1.210 10.95 224 0.900 bicubic
238 resnetblur50 93.710 6.290 98.810 1.190 25.56 224 0.875 bicubic
tf_efficientnet_b1 93.710 6.290 98.800 1.200 7.79 240 0.882 bicubic
239 tf_efficientnetv2_b1 93.710 6.290 98.820 1.180 8.14 240 0.882 bicubic
240 tf_efficientnet_b1 93.710 6.290 98.800 1.200 7.79 240 0.882 bicubic
241 levit_192 93.710 6.290 98.790 1.210 10.95 224 0.900 bicubic
242 hrnet_w40 93.710 6.290 98.800 1.200 57.56 224 0.875 bilinear
243 gluon_resnet101_v1c 93.690 6.310 98.760 1.240 44.57 224 0.875 bicubic
244 regnetx_040 93.680 6.320 98.940 1.060 22.12 224 0.875 bicubic
245 rexnet_130 93.670 6.330 98.710 1.290 7.56 224 0.875 bicubic
246 gluon_resnext50_32x4d 93.650 6.350 98.690 1.310 25.03 224 0.875 bicubic
247 resmlp_36_224 93.650 6.350 98.950 1.050 44.69 224 0.875 bicubic
248 xception 93.640 6.360 98.770 1.230 22.86 299 0.897 bicubic
249 regnetx_064 93.630 6.370 99.050 0.950 26.21 224 0.875 bicubic
250 tf_efficientnet_b1_ap 93.630 6.370 98.800 1.200 7.79 240 0.882 bicubic
dpn68b 93.620 6.380 98.700 1.300 12.61 224 0.875 bicubic
251 hrnet_w44 93.620 6.380 98.960 1.040 67.06 224 0.875 bilinear
252 regnety_040 93.620 6.380 98.950 1.050 20.65 224 0.875 bicubic
253 dpn68b 93.620 6.380 98.700 1.300 12.61 224 0.875 bicubic
254 gluon_resnet50_v1s 93.590 6.410 98.840 1.160 25.68 224 0.875 bicubic
255 repvgg_b2 93.590 6.410 99.070 0.930 89.02 224 0.875 bilinear
256 res2net50_26w_6s 93.590 6.410 98.750 1.250 37.05 224 0.875 bilinear
gluon_resnet50_v1s 93.590 6.410 98.840 1.160 25.68 224 0.875 bicubic
257 dla60_res2next 93.570 6.430 98.800 1.200 17.03 224 0.875 bilinear
258 tf_efficientnet_cc_b1_8e 93.570 6.430 98.690 1.310 39.72 240 0.882 bicubic
259 gluon_inception_v3 93.540 6.460 98.830 1.170 23.83 299 0.875 bicubic
265 cait_xxs24_224 93.490 6.510 98.770 1.230 11.96 224 1.000 bicubic
266 xception41 93.480 6.520 98.750 1.250 26.97 299 0.903 bicubic
267 resnet50 93.460 6.540 98.600 1.400 25.56 224 0.875 bicubic
coat_lite_mini 93.450 6.550 98.780 1.220 11.01 224 0.900 bicubic
268 res2net50_26w_8s 93.450 6.550 98.700 1.300 48.40 224 0.875 bilinear
269 coat_lite_mini 93.450 6.550 98.780 1.220 11.01 224 0.900 bicubic
270 legacy_seresnet152 93.440 6.560 98.850 1.150 66.82 224 0.875 bilinear
271 resmlp_24_224 93.440 6.560 98.810 1.190 30.02 224 0.875 bicubic
272 legacy_seresnext50_32x4d 93.430 6.570 98.800 1.200 27.56 224 0.875 bilinear
273 vit_tiny_patch16_384 93.420 6.580 98.830 1.170 5.79 384 1.000 bicubic
274 repvgg_b1 93.410 6.590 98.790 1.210 57.42 224 0.875 bilinear
275 dla60_res2net 93.380 6.620 98.860 1.140 20.85 224 0.875 bilinear
276 hrnet_w30 93.370 6.630 98.830 1.170 37.71 224 0.875 bilinear
289 tf_efficientnetv2_b0 93.060 6.940 98.700 1.300 7.14 224 0.875 bicubic
290 levit_128 93.050 6.950 98.690 1.310 9.21 224 0.900 bicubic
291 tf_mixnet_l 93.040 6.960 98.540 1.460 7.33 224 0.875 bicubic
repvgg_b1g4 93.030 6.970 98.820 1.180 39.97 224 0.875 bilinear
292 res2net50_14w_8s 93.030 6.970 98.700 1.300 25.06 224 0.875 bilinear
293 repvgg_b1g4 93.030 6.970 98.820 1.180 39.97 224 0.875 bilinear
294 efficientnet_b1 93.030 6.970 98.710 1.290 7.79 256 1.000 bicubic
295 adv_inception_v3 93.010 6.990 98.490 1.510 23.83 299 0.875 bicubic
296 selecsls60 93.010 6.990 98.830 1.170 30.67 224 0.875 bicubic
306 inception_v3 92.900 7.100 98.330 1.670 23.83 299 0.875 bicubic
307 densenet161 92.900 7.100 98.810 1.190 28.68 224 0.875 bicubic
308 tv_resnet101 92.880 7.120 98.660 1.340 44.55 224 0.875 bilinear
309 resmlp_12_distilled_224 92.870 7.130 98.630 1.370 15.35 224 0.875 bicubic
310 tf_efficientnet_cc_b0_8e 92.870 7.130 98.460 1.540 24.01 224 0.875 bicubic
311 coat_lite_tiny 92.850 7.150 98.640 1.360 5.72 224 0.900 bicubic
312 rexnet_100 92.850 7.150 98.620 1.380 4.80 224 0.875 bicubic
316 hrnet_w18 92.760 7.240 98.660 1.340 21.30 224 0.875 bilinear
317 densenet201 92.690 7.310 98.650 1.350 20.01 224 0.875 bicubic
318 repvgg_a2 92.680 7.320 98.520 1.480 28.21 224 0.875 bilinear
319 legacy_seresnet50 gmixer_24_224 92.670 92.680 7.330 7.320 98.650 98.280 1.350 1.720 28.09 24.72 224 0.875 bilinear bicubic
320 dla60 92.670 7.330 98.630 1.370 22.04 224 0.875 bilinear
321 legacy_seresnet50 92.670 7.330 98.650 1.350 28.09 224 0.875 bilinear
322 resnet34d 92.640 7.360 98.420 1.580 21.82 224 0.875 bicubic
tf_efficientnet_b0_ap 92.610 7.390 98.370 1.630 5.29 224 0.875 bicubic
323 mobilenetv2_120d 92.610 7.390 98.510 1.490 5.83 224 0.875 bicubic
324 tf_efficientnet_b0_ap 92.610 7.390 98.370 1.630 5.29 224 0.875 bicubic
325 hardcorenas_d 92.600 7.400 98.430 1.570 7.50 224 0.875 bilinear
vit_small_patch16_224 92.600 7.400 98.390 1.610 48.75 224 0.900 bicubic
326 tf_efficientnet_lite2 92.590 7.410 98.550 1.450 6.09 260 0.890 bicubic
327 legacy_seresnext26_32x4d 92.570 7.430 98.420 1.580 16.79 224 0.875 bicubic
328 skresnet34 92.570 7.430 98.520 1.480 22.28 224 0.875 bicubic
329 gluon_resnet50_v1b 92.560 7.440 98.550 1.450 25.56 224 0.875 bicubic
330 regnetx_016 92.540 7.460 98.550 1.450 9.19 224 0.875 bicubic
efficientnet_b0 92.480 7.520 98.680 1.320 5.29 224 0.875 bicubic
331 selecsls42b 92.480 7.520 98.440 1.560 32.46 224 0.875 bicubic
332 seresnext26d_32x4d efficientnet_b0 92.440 92.480 7.560 7.520 98.540 98.680 1.460 1.320 16.81 5.29 224 0.875 bicubic
333 gernet_s 92.440 7.560 98.500 1.500 8.17 224 0.875 bilinear
334 seresnext26d_32x4d 92.440 7.560 98.540 1.460 16.81 224 0.875 bicubic
335 densenetblur121d 92.400 7.600 98.410 1.590 8.00 224 0.875 bicubic
336 tf_efficientnet_b0 92.400 7.600 98.470 1.530 5.29 224 0.875 bicubic
337 hardcorenas_c 92.330 7.670 98.340 1.660 5.52 224 0.875 bilinear
342 dpn68 92.240 7.760 98.610 1.390 12.61 224 0.875 bicubic
343 resnet26d 92.230 7.770 98.450 1.550 16.01 224 0.875 bicubic
344 tf_mixnet_m 92.200 7.800 98.420 1.580 5.01 224 0.875 bicubic
345 vit_small_patch32_224 92.150 7.850 98.510 1.490 22.88 224 0.900 bicubic
346 tv_resnet50 92.140 7.860 98.420 1.580 25.56 224 0.875 bilinear
347 resmlp_12_224 92.120 7.880 98.570 1.430 15.35 224 0.875 bicubic
348 tf_efficientnet_es 92.100 7.900 98.440 1.560 5.44 224 0.875 bicubic
349 mobilenetv2_140 92.030 7.970 98.250 1.750 6.11 224 0.875 bicubic
350 ese_vovnet19b_dw 92.010 7.990 98.510 1.490 6.54 224 0.875 bicubic
351 densenet121 91.940 8.060 98.280 1.720 7.98 224 0.875 bicubic
352 hardcorenas_b 91.940 8.060 98.400 1.600 5.18 224 0.875 bilinear
353 vit_tiny_patch16_224 91.930 8.070 98.340 1.660 5.72 224 0.900 bicubic
354 regnety_008 91.900 8.100 98.420 1.580 6.26 224 0.875 bicubic
355 mixnet_s 91.780 8.220 98.300 1.700 4.13 224 0.875 bicubic
356 vit_tiny_r_s16_p8_384 91.730 8.270 98.430 1.570 6.36 384 1.000 bicubic
357 efficientnet_es_pruned 91.700 8.300 98.420 1.580 5.44 224 0.875 bicubic
repvgg_b0 91.680 8.320 98.450 1.550 15.82 224 0.875 bilinear
358 tf_mixnet_s 91.680 8.320 98.240 1.760 4.13 224 0.875 bicubic
359 repvgg_b0 91.680 8.320 98.450 1.550 15.82 224 0.875 bilinear
360 semnasnet_100 91.660 8.340 98.270 1.730 3.89 224 0.875 bicubic
361 hardcorenas_a 91.620 8.380 98.170 1.830 5.26 224 0.875 bilinear
362 regnety_006 91.570 8.430 98.430 1.570 6.06 224 0.875 bicubic
378 hrnet_w18_small_v2 91.170 8.830 98.340 1.660 15.60 224 0.875 bilinear
379 mixer_b16_224 91.140 8.860 97.400 2.600 59.88 224 0.875 bicubic
380 resnest14d 91.130 8.870 98.330 1.670 10.61 224 0.875 bilinear
381 deit_tiny_distilled_patch16_224 91.100 8.900 98.270 1.730 5.91 224 0.900 bicubic
382 gluon_resnet34_v1b 91.100 8.900 98.180 1.820 21.80 224 0.875 bicubic
vit_deit_tiny_distilled_patch16_224 91.100 8.900 98.270 1.730 5.91 224 0.900 bicubic
383 swsl_resnet18 91.090 8.910 98.210 1.790 11.69 224 0.875 bilinear
384 vgg19_bn 90.990 91.000 9.010 9.000 98.110 1.890 143.68 224 0.875 bilinear
385 pit_ti_distilled_224 90.900 9.100 98.220 1.780 5.10 224 0.900 bicubic
386 regnety_004 90.780 9.220 98.080 1.920 4.34 224 0.875 bicubic
387 regnetx_006 90.760 9.240 98.100 1.900 6.20 224 0.875 bicubic
398 hrnet_w18_small 89.880 10.120 97.900 2.100 13.19 224 0.875 bilinear
399 mobilenetv2_100 89.830 10.170 97.830 2.170 3.50 224 0.875 bicubic
400 vgg19 89.680 10.320 97.550 2.450 143.67 224 0.875 bilinear
401 vit_deit_tiny_patch16_224 deit_tiny_patch16_224 89.620 10.380 97.960 2.040 5.72 224 0.900 bicubic
402 regnetx_004 89.460 10.540 97.770 2.230 5.16 224 0.875 bicubic
403 vgg16 89.360 10.640 97.520 2.480 138.36 224 0.875 bilinear
404 vit_tiny_r_s16_p8_224 89.340 10.660 97.700 2.300 6.34 224 0.900 bicubic
405 legacy_seresnet18 89.270 10.730 97.680 2.320 11.78 224 0.875 bicubic
406 vgg13_bn 89.200 10.800 97.530 2.470 133.05 224 0.875 bilinear
407 tf_mobilenetv3_large_minimal_100 89.180 10.820 97.320 2.680 3.92 224 0.875 bilinear

@ -1,390 +1,416 @@
model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation,top1_diff,top5_diff,rank_diff
ig_resnext101_32x48d,79.650,20.350,89.393,10.607,828.41,224,0.875,bilinear,-17.320,-10.277,+8
ig_resnext101_32x32d,79.457,20.543,89.183,10.817,468.53,224,0.875,bilinear,-17.323,-10.347,+15
ig_resnext101_32x16d,78.837,21.163,88.480,11.520,194.03,224,0.875,bilinear,-17.603,-11.060,+32
ig_resnext101_32x48d,79.650,20.350,89.393,10.607,828.41,224,0.875,bilinear,-17.320,-10.277,+9
ig_resnext101_32x32d,79.457,20.543,89.183,10.817,468.53,224,0.875,bilinear,-17.323,-10.347,+19
ig_resnext101_32x16d,78.837,21.163,88.480,11.520,194.03,224,0.875,bilinear,-17.603,-11.060,+37
tf_efficientnet_l2_ns_475,76.480,23.520,88.653,11.347,480.31,475,0.936,bicubic,-21.270,-11.167,-2
swsl_resnext101_32x16d,76.303,23.697,87.733,12.267,194.03,224,0.875,bilinear,-19.967,-11.767,+40
ig_resnext101_32x8d,75.813,24.187,86.200,13.800,88.79,224,0.875,bilinear,-20.117,-13.180,+58
swsl_resnext101_32x8d,75.590,24.410,86.937,13.063,88.79,224,0.875,bilinear,-20.650,-12.653,+40
swsl_resnext101_32x16d,76.303,23.697,87.733,12.267,194.03,224,0.875,bilinear,-19.967,-11.767,+46
ig_resnext101_32x8d,75.813,24.187,86.200,13.800,88.79,224,0.875,bilinear,-20.117,-13.180,+67
swsl_resnext101_32x8d,75.590,24.410,86.937,13.063,88.79,224,0.875,bilinear,-20.650,-12.533,+46
tf_efficientnet_l2_ns,74.650,25.350,87.543,12.457,480.31,800,0.960,bicubic,-23.130,-12.347,-7
swsl_resnext101_32x4d,72.660,27.340,85.157,14.843,44.18,224,0.875,bilinear,-23.390,-14.373,+48
swsl_resnext50_32x4d,68.977,31.023,82.810,17.190,25.03,224,0.875,bilinear,-26.643,-16.630,+67
swsl_resnet50,68.297,31.703,83.313,16.687,25.56,224,0.875,bilinear,-26.903,-16.077,+92
tf_efficientnet_b7_ns,67.510,32.490,81.383,18.617,66.35,600,0.949,bicubic,-29.690,-18.317,-9
swsl_resnext101_32x4d,72.660,27.340,85.157,14.843,44.18,224,0.875,bilinear,-23.390,-14.373,+56
swsl_resnext50_32x4d,68.977,31.023,82.810,17.190,25.03,224,0.875,bilinear,-26.643,-16.630,+79
swsl_resnet50,68.297,31.703,83.313,16.687,25.56,224,0.875,bilinear,-26.903,-16.077,+102
tf_efficientnet_b7_ns,67.510,32.490,81.383,18.617,66.35,600,0.949,bicubic,-29.690,-18.317,-8
vit_large_patch16_384,67.053,32.947,78.707,21.293,304.72,384,1.000,bicubic,-30.367,-21.073,-10
swin_large_patch4_window12_384,66.283,33.717,79.783,20.217,196.74,384,1.000,bicubic,-30.887,-19.897,-9
tf_efficientnet_b6_ns,65.587,34.413,79.553,20.447,43.04,528,0.942,bicubic,-31.433,-20.157,-7
swin_large_patch4_window7_224,63.870,36.130,78.180,21.820,196.53,224,0.900,bicubic,-33.080,-21.480,-4
swin_base_patch4_window12_384,63.470,36.530,78.063,21.937,87.90,384,1.000,bicubic,-33.650,-21.717,-11
vit_large_patch16_224,64.347,35.653,76.190,23.810,304.33,224,0.900,bicubic,-32.363,-23.460,+8
vit_large_r50_s32_384,64.100,35.900,75.850,24.150,329.09,384,1.000,bicubic,-32.850,-23.860,-4
swin_large_patch4_window7_224,63.870,36.130,78.180,21.820,196.53,224,0.900,bicubic,-33.080,-21.480,-6
swin_base_patch4_window12_384,63.470,36.530,78.063,21.937,87.90,384,1.000,bicubic,-33.650,-21.717,-13
tf_efficientnet_b5_ns,63.047,36.953,77.777,22.223,30.39,456,0.934,bicubic,-33.823,-21.863,-3
tf_efficientnet_b4_ns,61.230,38.770,76.173,23.827,19.34,380,0.922,bicubic,-35.480,-23.467,+1
tf_efficientnetv2_l_in21ft1k,60.953,39.047,75.847,24.153,118.52,480,1.000,bicubic,-36.157,-23.863,-13
swin_base_patch4_window7_224,59.537,40.463,74.247,25.753,87.77,224,0.900,bicubic,-37.143,-25.413,+1
tf_efficientnetv2_m_in21ft1k,58.647,41.353,73.983,26.017,54.14,480,1.000,bicubic,-38.323,-25.627,-11
tf_efficientnet_b8_ap,57.830,42.170,72.957,27.043,87.41,672,0.954,bicubic,-38.720,-26.583,+5
cait_m48_448,57.470,42.530,71.860,28.140,356.46,448,1.000,bicubic,-39.410,-27.800,-10
cait_m36_384,57.467,42.533,72.313,27.687,271.22,384,1.000,bicubic,-39.363,-27.347,-9
tf_efficientnet_b3_ns,57.417,42.583,72.387,27.613,12.23,300,0.904,bicubic,-38.683,-27.093,+27
vit_large_patch16_384,54.750,45.250,70.007,29.993,304.72,384,1.000,bicubic,-41.610,-29.623,+14
vit_base_r50_s16_384,54.400,45.600,69.560,30.440,98.95,384,1.000,bicubic,-42.050,-30.100,+7
resnetv2_152x4_bitm,54.263,45.737,70.137,29.863,936.53,480,1.000,bilinear,-42.617,-29.483,-16
dm_nfnet_f6,54.073,45.927,69.110,30.890,438.36,576,0.956,bicubic,-42.917,-30.630,-21
tf_efficientnet_b5_ap,53.870,46.130,69.160,30.840,30.39,456,0.934,bicubic,-42.210,-30.380,+23
dm_nfnet_f5,53.773,46.227,68.500,31.500,377.21,544,0.954,bicubic,-42.937,-31.180,-13
tf_efficientnet_b2_ns,53.600,46.400,70.270,29.730,9.11,260,0.890,bicubic,-41.920,-29.070,+50
tf_efficientnet_b6_ap,53.560,46.440,68.550,31.450,43.04,528,0.942,bicubic,-42.810,-30.920,+4
cait_s36_384,53.550,46.450,68.000,32.000,68.37,384,1.000,bicubic,-43.080,-31.600,-11
tf_efficientnet_b8,53.410,46.590,69.090,30.910,87.41,672,0.954,bicubic,-43.290,-30.440,-15
tf_efficientnet_b7_ap,53.260,46.740,68.873,31.127,66.35,600,0.949,bicubic,-43.090,-30.717,+5
dm_nfnet_f3,53.190,46.810,68.083,31.917,254.92,416,0.940,bicubic,-43.440,-31.557,-13
tf_efficientnetv2_s_in21ft1k,53.150,46.850,69.000,31.000,21.46,384,1.000,bicubic,-43.320,-30.570,-6
tf_efficientnet_b4_ap,53.090,46.910,68.210,31.790,19.34,380,0.922,bicubic,-42.400,-31.180,+46
tf_efficientnet_b7,52.393,47.607,68.233,31.767,66.35,600,0.949,bicubic,-44.187,-31.277,-15
tf_efficientnetv2_l,52.377,47.623,67.237,32.763,118.52,480,1.000,bicubic,-44.273,-32.323,-19
swsl_resnet18,52.327,47.673,70.480,29.520,11.69,224,0.875,bilinear,-38.763,-27.730,+315
efficientnetv2_rw_m,52.323,47.677,67.210,32.790,53.24,416,1.000,bicubic,-43.947,-32.350,+1
dm_nfnet_f4,52.260,47.740,67.120,32.880,316.07,512,0.951,bicubic,-44.560,-32.480,-28
vit_deit_base_distilled_patch16_384,52.257,47.743,67.733,32.267,87.63,384,1.000,bicubic,-44.253,-31.857,-16
cait_s24_384,51.783,48.217,66.313,33.687,47.06,384,1.000,bicubic,-44.787,-33.237,-20
ecaresnet269d,51.670,48.330,66.047,33.953,102.09,352,1.000,bicubic,-44.790,-33.563,-14
vit_base_patch16_224_miil,51.557,48.443,65.207,34.793,86.54,224,0.875,bilinear,-44.473,-34.143,+10
pit_b_distilled_224,51.153,48.847,66.770,33.230,74.79,224,0.900,bicubic,-44.917,-32.610,+5
resnetv2_152x2_bitm,51.040,48.960,68.527,31.473,236.34,480,1.000,bilinear,-45.460,-31.093,-19
tf_efficientnet_b1_ns,50.883,49.117,67.910,32.090,7.79,240,0.882,bicubic,-43.977,-31.340,+72
vit_base_patch16_384,50.883,49.117,65.270,34.730,86.86,384,1.000,bicubic,-45.307,-34.260,-4
vit_large_patch16_224,50.877,49.123,66.227,33.773,304.33,224,0.900,bicubic,-44.413,-33.083,+42
tf_efficientnetv2_m,50.557,49.443,66.010,33.990,54.14,480,1.000,bicubic,-45.993,-33.560,-26
efficientnet_b4,50.510,49.490,65.703,34.297,19.34,384,1.000,bicubic,-45.010,-33.687,+26
ssl_resnext101_32x16d,50.257,49.743,66.033,33.967,194.03,224,0.875,bilinear,-45.153,-33.377,+33
cait_s24_224,50.243,49.757,65.027,34.973,46.92,224,1.000,bicubic,-45.407,-34.213,+18
resnest269e,50.153,49.847,64.670,35.330,110.93,416,0.928,bicubic,-45.967,-34.850,-8
vit_deit_base_distilled_patch16_224,50.063,49.937,66.227,33.773,87.34,224,0.900,bicubic,-45.687,-33.053,+9
tf_efficientnet_b3_ap,50.057,49.943,65.210,34.790,12.23,300,0.904,bicubic,-44.913,-33.900,+54
resnest200e,49.873,50.127,64.743,35.257,70.20,320,0.909,bicubic,-46.197,-34.737,-6
resnetv2_101x3_bitm,49.823,50.177,66.917,33.083,387.93,480,1.000,bilinear,-46.537,-32.683,-23
cait_xs24_384,49.527,50.473,64.900,35.100,26.67,384,1.000,bicubic,-46.483,-34.530,-4
tf_efficientnet_b5,49.510,50.490,65.657,34.343,30.39,456,0.934,bicubic,-46.470,-33.793,-3
resnet200d,49.470,50.530,64.330,35.670,64.69,320,1.000,bicubic,-46.640,-35.130,-14
resnest101e,49.367,50.633,65.587,34.413,48.28,256,0.875,bilinear,-46.203,-33.683,+13
resnet152d,49.253,50.747,64.413,35.587,60.21,320,1.000,bicubic,-46.617,-35.017,-1
seresnet152d,49.247,50.753,64.170,35.830,66.84,320,1.000,bicubic,-47.063,-35.340,-26
tf_efficientnet_b4_ns,61.230,38.770,76.173,23.827,19.34,380,0.922,bicubic,-35.480,-23.467,+2
tf_efficientnetv2_l_in21ft1k,60.953,39.047,75.847,24.153,118.52,480,1.000,bicubic,-36.157,-23.863,-15
vit_base_patch16_384,60.180,39.820,73.843,26.157,86.86,384,1.000,bicubic,-36.840,-25.867,-14
swin_base_patch4_window7_224,59.537,40.463,74.247,25.753,87.77,224,0.900,bicubic,-37.143,-25.413,+2
tf_efficientnetv2_m_in21ft1k,58.647,41.353,73.983,26.017,54.14,480,1.000,bicubic,-38.323,-25.627,-14
vit_large_r50_s32_224,58.633,41.367,71.720,28.280,328.99,224,0.900,bicubic,-37.547,-27.810,+30
tf_efficientnet_b8_ap,57.830,42.170,72.957,27.043,87.41,672,0.954,bicubic,-38.720,-26.583,+4
cait_m48_448,57.470,42.530,71.860,28.140,356.46,448,1.000,bicubic,-39.410,-27.760,-13
cait_m36_384,57.467,42.533,72.313,27.687,271.22,384,1.000,bicubic,-39.363,-27.347,-11
tf_efficientnet_b3_ns,57.417,42.583,72.387,27.613,12.23,300,0.904,bicubic,-38.683,-27.093,+29
vit_base_patch16_224,56.823,43.177,70.633,29.367,86.57,224,0.900,bicubic,-39.477,-28.927,+16
vit_base_r50_s16_384,54.403,45.597,69.560,30.440,98.95,384,1.000,bicubic,-42.047,-30.100,+7
resnetv2_152x4_bitm,54.320,45.680,70.167,29.833,936.53,480,1.000,bilinear,-42.550,-29.493,-17
vit_small_r26_s32_384,54.197,45.803,68.757,31.243,36.47,384,1.000,bicubic,-41.863,-30.803,+30
tf_efficientnet_b5_ap,53.870,46.130,69.160,30.840,30.39,456,0.934,bicubic,-42.210,-30.380,+25
tf_efficientnet_b2_ns,53.600,46.400,70.270,29.730,9.11,260,0.890,bicubic,-41.920,-29.120,+57
tf_efficientnet_b6_ap,53.560,46.440,68.550,31.450,43.04,528,0.942,bicubic,-42.810,-31.000,+6
cait_s36_384,53.550,46.450,68.000,32.000,68.37,384,1.000,bicubic,-43.080,-31.600,-10
tf_efficientnet_b8,53.410,46.590,69.090,30.910,87.41,672,0.954,bicubic,-43.290,-30.440,-14
vit_base_patch32_384,53.307,46.693,68.047,31.953,88.30,384,1.000,bicubic,-42.593,-31.393,+34
tf_efficientnet_b7_ap,53.260,46.740,68.873,31.127,66.35,600,0.949,bicubic,-43.090,-30.717,+4
tf_efficientnetv2_s_in21ft1k,53.150,46.850,69.000,31.000,21.46,384,1.000,bicubic,-43.320,-30.570,-7
tf_efficientnet_b4_ap,53.090,46.910,68.210,31.790,19.34,380,0.922,bicubic,-42.400,-31.180,+53
dm_nfnet_f5,52.870,47.130,67.430,32.570,377.21,544,0.954,bicubic,-43.940,-32.240,-25
dm_nfnet_f6,52.447,47.553,67.120,32.880,438.36,576,0.956,bicubic,-44.473,-32.600,-31
tf_efficientnet_b7,52.393,47.607,68.233,31.767,66.35,600,0.949,bicubic,-44.187,-31.277,-17
tf_efficientnetv2_l,52.377,47.623,67.237,32.763,118.52,480,1.000,bicubic,-44.273,-32.323,-20
swsl_resnet18,52.327,47.673,70.480,29.520,11.69,224,0.875,bilinear,-38.763,-27.730,+334
efficientnetv2_rw_m,52.323,47.677,67.210,32.790,53.24,416,1.000,bicubic,-43.947,-32.350,0
deit_base_distilled_patch16_384,52.257,47.743,67.733,32.267,87.63,384,1.000,bicubic,-44.253,-31.857,-16
dm_nfnet_f3,52.130,47.870,66.743,33.257,254.92,416,0.940,bicubic,-44.600,-32.887,-29
resnetv2_152x2_bit_teacher_384,51.937,48.063,68.670,31.330,236.34,384,1.000,bicubic,-44.253,-30.830,+3
resmlp_big_24_224_in22ft1k,51.903,48.097,68.463,31.537,129.14,224,0.875,bicubic,-44.447,-31.057,-9
cait_s24_384,51.783,48.217,66.313,33.687,47.06,384,1.000,bicubic,-44.787,-33.237,-24
resnetv2_152x2_bitm,51.753,48.247,69.250,30.750,236.34,448,1.000,bilinear,-44.767,-30.340,-22
ecaresnet269d,51.670,48.330,66.047,33.953,102.09,352,1.000,bicubic,-44.790,-33.563,-19
vit_base_patch16_224_miil,51.557,48.443,65.207,34.793,86.54,224,0.875,bilinear,-44.473,-34.143,+9
pit_b_distilled_224,51.153,48.847,66.770,33.230,74.79,224,0.900,bicubic,-44.917,-32.610,+3
dm_nfnet_f4,50.900,49.100,65.557,34.443,316.07,512,0.951,bicubic,-45.880,-34.063,-39
tf_efficientnet_b1_ns,50.883,49.117,67.910,32.090,7.79,240,0.882,bicubic,-43.977,-31.340,+75
tf_efficientnetv2_m,50.557,49.443,66.010,33.990,54.14,480,1.000,bicubic,-45.993,-33.560,-29
efficientnet_b4,50.510,49.490,65.703,34.297,19.34,384,1.000,bicubic,-45.010,-33.637,+32
resnetv2_101x3_bitm,50.407,49.593,67.790,32.210,387.93,448,1.000,bilinear,-45.843,-31.800,-11
ssl_resnext101_32x16d,50.257,49.743,66.033,33.967,194.03,224,0.875,bilinear,-45.153,-33.377,+36
cait_s24_224,50.243,49.757,65.027,34.973,46.92,224,1.000,bicubic,-45.407,-34.363,+22
eca_nfnet_l2,50.237,49.763,65.450,34.550,56.72,384,1.000,bicubic,-46.213,-34.170,-28
vit_small_patch16_384,50.160,49.840,65.807,34.193,22.20,384,1.000,bicubic,-45.820,-33.783,+3
resnest269e,50.153,49.847,64.670,35.330,110.93,416,0.928,bicubic,-45.967,-34.850,-11
deit_base_distilled_patch16_224,50.063,49.937,66.227,33.773,87.34,224,0.900,bicubic,-45.687,-33.203,+11
tf_efficientnet_b3_ap,50.057,49.943,65.210,34.790,12.23,300,0.904,bicubic,-44.913,-33.900,+55
resnest200e,49.873,50.127,64.743,35.257,70.20,320,0.909,bicubic,-46.197,-34.737,-9
cait_xs24_384,49.527,50.473,64.900,35.100,26.67,384,1.000,bicubic,-46.483,-34.530,-5
tf_efficientnet_b5,49.510,50.490,65.657,34.343,30.39,456,0.934,bicubic,-46.470,-33.793,-4
resnetv2_152x2_bit_teacher,49.480,50.520,65.617,34.383,236.34,224,0.875,bicubic,-46.270,-33.823,+5
resnet200d,49.470,50.530,64.330,35.670,64.69,320,1.000,bicubic,-46.640,-35.130,-17
resnest101e,49.367,50.633,65.587,34.413,48.28,256,0.875,bilinear,-46.203,-33.683,+15
resnet152d,49.253,50.747,64.413,35.587,60.21,320,1.000,bicubic,-46.617,-35.017,0
vit_base_patch32_224,49.253,50.747,64.340,35.660,88.22,224,0.900,bicubic,-45.137,-34.730,+92
seresnet152d,49.247,50.753,64.170,35.830,66.84,320,1.000,bicubic,-47.063,-35.340,-33
resmlp_big_24_distilled_224,49.097,50.903,65.470,34.530,129.14,224,0.875,bicubic,-46.773,-33.970,-4
ssl_resnext101_32x8d,49.067,50.933,65.480,34.520,88.79,224,0.875,bilinear,-46.273,-33.840,+25
repvgg_b3,48.917,51.083,64.887,35.113,123.09,224,0.875,bilinear,-45.633,-34.023,+77
resnetrs420,48.857,51.143,63.427,36.573,191.89,416,1.000,bicubic,-47.543,-36.113,-35
dm_nfnet_f2,48.623,51.377,63.537,36.463,193.78,352,0.920,bicubic,-47.877,-36.033,-42
efficientnetv2_rw_s,48.603,51.397,63.840,36.160,23.94,384,1.000,bicubic,-47.107,-35.540,-1
efficientnet_b3,48.563,51.437,64.250,35.750,12.23,320,1.000,bicubic,-46.577,-34.960,+33
ecaresnet101d,48.527,51.473,64.100,35.900,44.57,224,0.875,bicubic,-46.633,-35.130,+29
repvgg_b3g4,48.310,51.690,64.800,35.200,83.83,224,0.875,bilinear,-46.180,-34.220,+74
vit_large_patch32_384,48.250,51.750,61.830,38.170,306.63,384,1.000,bicubic,-46.990,-37.490,+21
convit_base,48.217,51.783,63.000,37.000,86.54,224,0.875,bicubic,-46.883,-36.140,+31
resnetrs350,48.050,51.950,62.653,37.347,163.96,384,1.000,bicubic,-48.190,-36.817,-33
twins_svt_large,47.947,52.053,62.907,37.093,99.27,224,0.900,bicubic,-47.773,-36.463,-9
mixer_b16_224_miil,47.790,52.210,63.400,36.600,59.88,224,0.875,bilinear,-47.090,-35.680,+40
repvgg_b2g4,47.787,52.213,64.390,35.610,61.76,224,0.875,bilinear,-46.033,-34.540,+125
eca_nfnet_l1,47.663,52.337,62.767,37.233,41.41,320,1.000,bicubic,-48.267,-36.733,-20
pit_s_distilled_224,47.543,52.457,63.493,36.507,24.04,224,0.900,bicubic,-47.187,-35.697,+45
resnest50d_4s2x40d,47.483,52.517,63.807,36.193,30.42,224,0.875,bicubic,-47.227,-35.323,+47
efficientnet_b3_pruned,47.447,52.553,62.793,37.207,9.86,300,0.904,bicubic,-47.133,-36.277,+58
vit_base_patch16_224,47.340,52.660,61.607,38.393,86.57,224,0.900,bicubic,-47.870,-37.623,+14
tresnet_m,47.230,52.770,61.993,38.007,31.39,224,0.875,bilinear,-48.150,-37.157,+4
tf_efficientnet_b6,47.213,52.787,63.110,36.890,43.04,528,0.942,bicubic,-49.077,-36.410,-46
ssl_resnext101_32x4d,47.177,52.823,63.367,36.633,44.18,224,0.875,bilinear,-47.983,-35.933,+15
resnetrs270,47.107,52.893,62.010,37.990,129.86,352,1.000,bicubic,-48.953,-37.480,-35
tf_efficientnet_b4,47.083,52.917,62.867,37.133,19.34,380,0.922,bicubic,-48.507,-36.463,-14
resnet101d,46.893,53.107,62.317,37.683,44.57,320,1.000,bicubic,-48.857,-37.123,-26
resnetrs200,46.837,53.163,62.487,37.513,93.21,320,1.000,bicubic,-49.153,-36.953,-34
resnetv2_50x3_bitm,46.827,53.173,64.873,35.127,217.32,480,1.000,bilinear,-49.313,-34.747,-46
dm_nfnet_f1,46.693,53.307,61.560,38.440,132.63,320,0.910,bicubic,-49.677,-37.990,-58
gluon_seresnext101_64x4d,46.677,53.323,61.303,38.697,88.23,224,0.875,bicubic,-47.973,-37.677,+41
twins_pcpvt_large,46.637,53.363,62.240,37.760,60.99,224,0.900,bicubic,-49.083,-37.250,-28
tresnet_xl,46.283,53.717,61.943,38.057,78.44,224,0.875,bilinear,-48.777,-37.317,+13
vit_deit_small_distilled_patch16_224,46.160,53.840,62.417,37.583,22.44,224,0.900,bicubic,-48.430,-36.683,+43
regnety_160,46.153,53.847,61.837,38.163,83.59,288,1.000,bicubic,-49.727,-37.723,-36
gernet_m,46.150,53.850,62.700,37.300,21.14,224,0.875,bilinear,-48.400,-36.230,+44
resnest50d_1s4x24d,46.083,53.917,62.377,37.623,25.68,224,0.875,bicubic,-48.307,-36.693,+53
tf_efficientnet_b0_ns,46.047,53.953,63.253,36.747,5.29,224,0.875,bicubic,-47.693,-35.727,+114
resnet51q,46.027,53.973,60.910,39.090,35.70,288,1.000,bilinear,-49.173,-38.370,-3
repvgg_b3,48.917,51.083,64.887,35.113,123.09,224,0.875,bilinear,-45.633,-34.023,+80
resnetrs420,48.857,51.143,63.427,36.573,191.89,416,1.000,bicubic,-47.543,-36.113,-42
efficientnetv2_rw_s,48.603,51.397,63.840,36.160,23.94,384,1.000,bicubic,-47.107,-35.540,0
efficientnet_b3,48.563,51.437,64.250,35.750,12.23,320,1.000,bicubic,-46.577,-34.960,+32
ecaresnet101d,48.527,51.473,64.100,35.900,44.57,224,0.875,bicubic,-46.633,-35.130,+28
dm_nfnet_f2,48.373,51.627,63.233,36.767,193.78,352,0.920,bicubic,-48.087,-36.307,-51
vit_small_r26_s32_224,48.363,51.637,63.797,36.203,36.43,224,0.900,bicubic,-46.767,-35.423,+30
repvgg_b3g4,48.310,51.690,64.800,35.200,83.83,224,0.875,bilinear,-46.180,-34.220,+75
vit_large_patch32_384,48.250,51.750,61.830,38.170,306.63,384,1.000,bicubic,-46.990,-37.490,+19
convit_base,48.217,51.783,63.000,37.000,86.54,224,0.875,bicubic,-46.883,-36.140,+29
resnetrs350,48.050,51.950,62.653,37.347,163.96,384,1.000,bicubic,-48.190,-36.937,-38
twins_svt_large,47.947,52.053,62.907,37.093,99.27,224,0.900,bicubic,-47.773,-36.583,-11
mixer_b16_224_miil,47.790,52.210,63.400,36.600,59.88,224,0.875,bilinear,-47.090,-35.870,+39
repvgg_b2g4,47.787,52.213,64.390,35.610,61.76,224,0.875,bilinear,-46.033,-34.540,+129
eca_nfnet_l1,47.650,52.350,62.763,37.237,41.41,320,1.000,bicubic,-48.290,-36.727,-24
resnetv2_50x3_bitm,47.593,52.407,65.603,34.397,217.32,448,1.000,bilinear,-48.677,-34.027,-47
pit_s_distilled_224,47.543,52.457,63.493,36.507,24.04,224,0.900,bicubic,-47.187,-35.697,+43
resnest50d_4s2x40d,47.483,52.517,63.807,36.193,30.42,224,0.875,bicubic,-47.227,-35.323,+46
efficientnet_b3_pruned,47.447,52.553,62.793,37.207,9.86,300,0.904,bicubic,-47.133,-36.387,+59
tresnet_m,47.230,52.770,61.993,38.007,31.39,224,0.875,bilinear,-48.150,-37.157,+3
tf_efficientnet_b6,47.213,52.787,63.110,36.890,43.04,528,0.942,bicubic,-49.077,-36.410,-54
ssl_resnext101_32x4d,47.177,52.823,63.367,36.633,44.18,224,0.875,bilinear,-47.983,-35.933,+12
resnetrs270,47.107,52.893,62.010,37.990,129.86,352,1.000,bicubic,-48.953,-37.480,-41
tf_efficientnet_b4,47.083,52.917,62.867,37.133,19.34,380,0.922,bicubic,-48.507,-36.463,-15
resnet101d,46.893,53.107,62.317,37.683,44.57,320,1.000,bicubic,-48.857,-36.963,-28
resnetrs200,46.837,53.163,62.487,37.513,93.21,320,1.000,bicubic,-49.153,-36.953,-39
gluon_seresnext101_64x4d,46.677,53.323,61.303,38.697,88.23,224,0.875,bicubic,-47.973,-37.677,+43
twins_pcpvt_large,46.637,53.363,62.240,37.760,60.99,224,0.900,bicubic,-49.083,-37.050,-28
dm_nfnet_f1,46.547,53.453,61.407,38.593,132.63,320,0.910,bicubic,-49.843,-38.063,-68
tresnet_xl,46.283,53.717,61.943,38.057,78.44,224,0.875,bilinear,-48.777,-37.317,+12
deit_small_distilled_patch16_224,46.160,53.840,62.417,37.583,22.44,224,0.900,bicubic,-48.430,-36.683,+43
regnety_160,46.153,53.847,61.837,38.163,83.59,288,1.000,bicubic,-49.727,-37.723,-38
gernet_m,46.150,53.850,62.700,37.300,21.14,224,0.875,bilinear,-48.400,-36.230,+47
resnest50d_1s4x24d,46.083,53.917,62.377,37.623,25.68,224,0.875,bicubic,-48.307,-36.683,+56
tf_efficientnet_b0_ns,46.047,53.953,63.253,36.747,5.29,224,0.875,bicubic,-47.693,-35.727,+119
resnet51q,46.027,53.973,60.910,39.090,35.70,288,1.000,bilinear,-49.173,-38.370,-5
vit_small_patch16_224,45.990,54.010,61.820,38.180,22.05,224,0.900,bicubic,-48.890,-37.260,+14
resnest50d,45.937,54.063,62.623,37.377,27.48,224,0.875,bilinear,-48.683,-36.407,+33
regnety_032,45.893,54.107,61.537,38.463,19.44,288,1.000,bicubic,-49.577,-37.843,-21
twins_pcpvt_base,45.893,54.107,61.337,38.663,43.83,224,0.900,bicubic,-49.567,-38.053,-20
levit_384,45.877,54.123,61.693,38.307,39.13,224,0.900,bicubic,-49.333,-37.467,-9
twins_svt_base,45.877,54.123,60.967,39.033,56.07,224,0.900,bicubic,-49.693,-38.263,-30
gluon_seresnext101_32x4d,45.590,54.410,61.143,38.857,48.96,224,0.875,bicubic,-48.860,-37.957,+40
twins_pcpvt_base,45.893,54.107,61.337,38.663,43.83,224,0.900,bicubic,-49.567,-38.053,-23
regnety_032,45.893,54.107,61.537,38.463,19.44,288,1.000,bicubic,-49.577,-37.783,-23
levit_384,45.877,54.123,61.693,38.307,39.13,224,0.900,bicubic,-49.333,-37.467,-11
twins_svt_base,45.877,54.123,60.967,39.033,56.07,224,0.900,bicubic,-49.693,-38.263,-31
gluon_seresnext101_32x4d,45.590,54.410,61.143,38.857,48.96,224,0.875,bicubic,-48.860,-37.947,+42
dm_nfnet_f0,45.483,54.517,60.983,39.017,71.49,256,0.900,bicubic,-50.207,-38.347,-39
gluon_resnet152_v1d,45.430,54.570,60.077,39.923,60.21,224,0.875,bicubic,-49.010,-38.933,+41
dm_nfnet_f0,45.420,54.580,60.990,39.010,71.49,256,0.900,bicubic,-50.210,-38.310,-37
ssl_resnext50_32x4d,45.407,54.593,62.047,37.953,25.03,224,0.875,bilinear,-49.293,-37.193,+19
nfnet_l0,45.390,54.610,62.057,37.943,35.07,288,1.000,bicubic,-50.000,-37.363,-24
tresnet_xl_448,45.223,54.777,61.437,38.563,78.44,448,0.875,bilinear,-50.287,-37.903,-32
nasnetalarge,45.210,54.790,57.883,42.117,88.75,331,0.911,bicubic,-49.940,-41.247,-11
convit_small,45.203,54.797,60.510,39.490,27.78,224,0.875,bicubic,-49.717,-38.600,0
swin_small_patch4_window7_224,45.163,54.837,60.330,39.670,49.61,224,0.900,bicubic,-50.557,-38.960,-50
tf_efficientnet_b3,45.107,54.893,60.650,39.350,12.23,300,0.904,bicubic,-49.803,-38.460,-1
rexnet_200,45.047,54.953,62.317,37.683,16.37,224,0.875,bicubic,-49.613,-36.833,+16
resnetrs152,44.943,55.057,59.713,40.287,86.62,320,1.000,bicubic,-51.017,-39.667,-60
ecaresnetlight,44.890,55.110,60.770,39.230,30.16,224,0.875,bicubic,-49.250,-38.260,+52
vit_deit_base_patch16_224,44.870,55.130,59.177,40.823,86.57,224,0.900,bicubic,-50.140,-39.803,-11
vit_deit_base_patch16_384,44.777,55.223,59.617,40.383,86.86,384,1.000,bicubic,-50.873,-39.773,-51
cait_xxs36_384,44.773,55.227,59.380,40.620,17.37,384,1.000,bicubic,-50.447,-39.940,-27
gernet_l,44.740,55.260,58.943,41.057,31.08,256,0.875,bilinear,-50.190,-40.257,-11
tf_efficientnet_b2_ap,44.700,55.300,60.680,39.320,9.11,260,0.890,bicubic,-49.570,-38.400,+36
vit_base_patch32_384,44.693,55.307,58.530,41.470,88.30,384,1.000,bicubic,-50.567,-40.650,-33
ens_adv_inception_resnet_v2,44.393,55.607,58.117,41.883,55.84,299,0.897,bicubic,-49.737,-40.673,+46
tresnet_l,44.363,55.637,59.953,40.047,55.99,224,0.875,bilinear,-50.537,-39.077,-11
gluon_resnext101_32x4d,44.290,55.710,59.090,40.910,44.18,224,0.875,bicubic,-49.830,-39.840,+47
wide_resnet50_2,44.177,55.823,59.727,40.273,68.88,224,0.875,bicubic,-50.493,-39.323,+2
cspresnext50,44.147,55.853,60.533,39.467,20.57,224,0.875,bilinear,-49.613,-38.167,+81
seresnext50_32x4d,44.127,55.873,59.490,40.510,27.56,224,0.875,bicubic,-50.693,-39.640,-11
gluon_resnet152_v1s,44.073,55.927,58.703,41.297,60.32,224,0.875,bicubic,-50.647,-40.357,-6
pit_b_224,44.070,55.930,58.017,41.983,73.76,224,0.900,bicubic,-50.720,-40.803,-12
nfnet_l0,45.420,54.580,62.080,37.920,35.07,288,1.000,bicubic,-49.970,-37.340,-25
ssl_resnext50_32x4d,45.407,54.593,62.047,37.953,25.03,224,0.875,bilinear,-49.293,-37.193,+18
resnetv2_50x1_bit_distilled,45.393,54.607,62.303,37.697,25.55,224,0.875,bicubic,-49.997,-37.127,-26
tresnet_xl_448,45.223,54.777,61.437,38.563,78.44,448,0.875,bilinear,-50.287,-37.903,-35
nasnetalarge,45.210,54.790,57.883,42.117,88.75,331,0.911,bicubic,-49.940,-41.247,-15
convit_small,45.203,54.797,60.510,39.490,27.78,224,0.875,bicubic,-49.717,-38.600,-3
swin_small_patch4_window7_224,45.163,54.837,60.330,39.670,49.61,224,0.900,bicubic,-50.557,-39.040,-50
tf_efficientnet_b3,45.107,54.893,60.650,39.350,12.23,300,0.904,bicubic,-49.803,-38.460,-4
rexnet_200,45.047,54.953,62.317,37.683,16.37,224,0.875,bicubic,-49.613,-36.773,+14
resnetrs152,44.943,55.057,59.713,40.287,86.62,320,1.000,bicubic,-51.017,-39.667,-65
ecaresnetlight,44.890,55.110,60.770,39.230,30.16,224,0.875,bicubic,-49.250,-38.180,+54
deit_base_patch16_224,44.870,55.130,59.177,40.823,86.57,224,0.900,bicubic,-50.140,-39.803,-14
deit_base_patch16_384,44.777,55.223,59.617,40.383,86.86,384,1.000,bicubic,-50.873,-39.623,-51
cait_xxs36_384,44.773,55.227,59.380,40.620,17.37,384,1.000,bicubic,-50.447,-39.940,-30
resmlp_36_distilled_224,44.757,55.243,61.073,38.927,44.69,224,0.875,bicubic,-49.813,-38.087,+19
gernet_l,44.740,55.260,58.943,41.057,31.08,256,0.875,bilinear,-50.190,-40.257,-15
resmlp_24_distilled_224,44.707,55.293,61.467,38.533,30.02,224,0.875,bicubic,-49.623,-37.623,+34
tf_efficientnet_b2_ap,44.700,55.300,60.680,39.320,9.11,260,0.890,bicubic,-49.570,-38.270,+37
ens_adv_inception_resnet_v2,44.393,55.607,58.117,41.883,55.84,299,0.897,bicubic,-49.737,-40.673,+48
tresnet_l,44.363,55.637,59.953,40.047,55.99,224,0.875,bilinear,-50.537,-39.077,-15
gluon_resnext101_32x4d,44.290,55.710,59.090,40.910,44.18,224,0.875,bicubic,-49.830,-39.840,+49
wide_resnet50_2,44.177,55.823,59.727,40.273,68.88,224,0.875,bicubic,-50.493,-39.323,0
cspresnext50,44.147,55.853,60.533,39.467,20.57,224,0.875,bilinear,-49.613,-38.307,+81
resnetv2_101x1_bitm,44.127,55.873,61.983,38.017,44.54,448,1.000,bilinear,-51.193,-37.387,-43
seresnext50_32x4d,44.127,55.873,59.490,40.510,27.56,224,0.875,bicubic,-50.693,-39.640,-15
gluon_resnet152_v1s,44.073,55.927,58.703,41.297,60.32,224,0.875,bicubic,-50.647,-40.357,-9
pit_b_224,44.070,55.930,58.017,41.983,73.76,224,0.900,bicubic,-50.720,-40.803,-16
ssl_resnet50,44.010,55.990,61.887,38.113,25.56,224,0.875,bilinear,-50.300,-37.263,+24
inception_resnet_v2,44.003,55.997,57.907,42.093,55.84,299,0.897,bicubic,-50.337,-40.893,+22
pnasnet5large,43.950,56.050,56.730,43.270,86.06,331,0.911,bicubic,-51.410,-42.400,-47
pit_s_224,43.890,56.110,58.627,41.373,23.46,224,0.900,bicubic,-50.700,-40.303,+1
gluon_resnext101_64x4d,43.877,56.123,58.710,41.290,83.46,224,0.875,bicubic,-50.473,-40.170,+18
coat_lite_small,43.823,56.177,57.147,42.853,19.84,224,0.900,bicubic,-51.257,-41.873,-33
tnt_s_patch16_224,43.773,56.227,59.197,40.803,23.76,224,0.900,bicubic,-50.807,-39.983,+1
cait_xxs36_224,43.760,56.240,58.720,41.280,17.30,224,1.000,bicubic,-50.180,-40.170,+49
ecaresnet50d,43.750,56.250,60.387,39.613,25.58,224,0.875,bicubic,-50.440,-38.633,+24
ecaresnet101d_pruned,43.737,56.263,59.607,40.393,24.88,224,0.875,bicubic,-50.713,-39.483,+5
tf_efficientnetv2_s,43.710,56.290,58.597,41.403,21.46,384,1.000,bicubic,-52.000,-40.803,-75
rexnet_150,43.690,56.310,60.897,39.103,9.73,224,0.875,bicubic,-50.580,-38.053,+16
pit_xs_distilled_224,43.663,56.337,60.703,39.297,11.00,224,0.900,bicubic,-49.577,-38.147,+111
gluon_resnet101_v1d,43.440,56.560,58.613,41.387,44.57,224,0.875,bicubic,-50.730,-40.327,+20
ecaresnet50t,43.407,56.593,59.300,40.700,25.57,320,0.950,bicubic,-51.663,-39.990,-41
gluon_resnet101_v1s,43.363,56.637,58.503,41.497,44.67,224,0.875,bicubic,-50.807,-40.507,+19
cspdarknet53,43.357,56.643,59.430,40.570,27.64,256,0.887,bilinear,-50.733,-39.550,+26
dpn68b,43.287,56.713,58.673,41.327,12.61,224,0.875,bicubic,-50.333,-40.027,+77
visformer_small,43.253,56.747,57.993,42.007,40.22,224,0.900,bicubic,-51.707,-41.217,-41
eca_nfnet_l0,43.230,56.770,59.913,40.087,24.14,288,1.000,bicubic,-52.240,-39.407,-70
resnest26d,43.140,56.860,60.623,39.377,17.07,224,0.875,bilinear,-50.100,-38.127,+104
resnetv2_101x1_bitm,43.113,56.887,60.950,39.050,44.54,480,1.000,bilinear,-52.397,-38.560,-76
twins_pcpvt_small,43.090,56.910,58.873,41.127,24.11,224,0.900,bicubic,-51.510,-40.277,-19
dpn131,43.047,56.953,57.440,42.560,79.25,224,0.875,bicubic,-50.713,-41.420,+55
inception_resnet_v2,44.003,55.997,57.907,42.093,55.84,299,0.897,bicubic,-50.337,-40.893,+21
pnasnet5large,43.950,56.050,56.730,43.270,86.06,331,0.911,bicubic,-51.410,-42.400,-51
pit_s_224,43.890,56.110,58.627,41.373,23.46,224,0.900,bicubic,-50.700,-40.303,-1
gluon_resnext101_64x4d,43.877,56.123,58.710,41.290,83.46,224,0.875,bicubic,-50.473,-40.170,+17
coat_lite_small,43.823,56.177,57.147,42.853,19.84,224,0.900,bicubic,-51.257,-41.873,-38
tnt_s_patch16_224,43.773,56.227,59.197,40.803,23.76,224,0.900,bicubic,-50.807,-39.873,-2
cait_xxs36_224,43.760,56.240,58.720,41.280,17.30,224,1.000,bicubic,-50.180,-40.200,+51
ecaresnet50d,43.750,56.250,60.387,39.613,25.58,224,0.875,bicubic,-50.440,-38.633,+25
ecaresnet101d_pruned,43.737,56.263,59.607,40.393,24.88,224,0.875,bicubic,-50.713,-39.493,+2
tf_efficientnetv2_s,43.710,56.290,58.597,41.403,21.46,384,1.000,bicubic,-52.000,-40.803,-79
rexnet_150,43.690,56.310,60.897,39.103,9.73,224,0.875,bicubic,-50.580,-38.183,+15
pit_xs_distilled_224,43.663,56.337,60.703,39.297,11.00,224,0.900,bicubic,-49.577,-38.147,+115
gluon_resnet101_v1d,43.440,56.560,58.613,41.387,44.57,224,0.875,bicubic,-50.730,-40.327,+21
ecaresnet50t,43.407,56.593,59.300,40.700,25.57,320,0.950,bicubic,-51.663,-39.990,-46
gluon_resnet101_v1s,43.363,56.637,58.503,41.497,44.67,224,0.875,bicubic,-50.807,-40.507,+20
cspdarknet53,43.357,56.643,59.430,40.570,27.64,256,0.887,bilinear,-50.733,-39.580,+28
dpn68b,43.287,56.713,58.673,41.327,12.61,224,0.875,bicubic,-50.333,-40.277,+81
visformer_small,43.253,56.747,57.993,42.007,40.22,224,0.900,bicubic,-51.707,-41.217,-46
eca_nfnet_l0,43.233,56.767,59.913,40.087,24.14,288,1.000,bicubic,-52.217,-39.477,-74
vit_small_patch32_384,43.143,56.857,59.293,40.707,22.92,384,1.000,bicubic,-51.447,-39.847,-17
resnest26d,43.140,56.860,60.623,39.377,17.07,224,0.875,bilinear,-50.100,-38.127,+107
twins_pcpvt_small,43.090,56.910,58.873,41.127,24.11,224,0.900,bicubic,-51.510,-40.277,-22
resmlp_36_224,43.050,56.950,59.310,40.690,44.69,224,0.875,bicubic,-50.600,-39.640,+69
dpn131,43.047,56.953,57.440,42.560,79.25,224,0.875,bicubic,-50.713,-41.360,+53
cspresnet50,43.030,56.970,59.153,40.847,21.62,256,0.887,bilinear,-50.830,-39.717,+40
tf_efficientnet_lite4,42.967,57.033,57.620,42.380,13.01,380,0.920,bilinear,-51.903,-41.470,-41
twins_svt_small,42.923,57.077,58.453,41.547,24.06,224,0.900,bicubic,-51.847,-40.627,-37
tf_efficientnet_lite4,42.967,57.033,57.620,42.380,13.01,380,0.920,bilinear,-51.903,-41.470,-46
twins_svt_small,42.923,57.077,58.453,41.547,24.06,224,0.900,bicubic,-51.847,-40.627,-42
gluon_resnet152_v1b,42.903,57.097,57.750,42.250,60.19,224,0.875,bicubic,-51.127,-40.990,+20
dpn107,42.857,57.143,57.367,42.633,86.92,224,0.875,bicubic,-51.103,-41.473,+26
levit_256,42.823,57.177,57.897,42.103,18.89,224,0.900,bicubic,-51.577,-41.163,-12
tf_efficientnet_b1_ap,42.803,57.197,58.813,41.187,7.79,240,0.882,bicubic,-50.827,-39.987,+63
gluon_resnet152_v1c,42.800,57.200,57.737,42.263,60.21,224,0.875,bicubic,-51.080,-41.353,+32
levit_256,42.823,57.177,57.897,42.103,18.89,224,0.900,bicubic,-51.577,-41.163,-16
tf_efficientnet_b1_ap,42.803,57.197,58.813,41.187,7.79,240,0.882,bicubic,-50.827,-39.987,+64
gluon_resnet152_v1c,42.800,57.200,57.737,42.263,60.21,224,0.875,bicubic,-51.080,-41.063,+30
gluon_xception65,42.793,57.207,58.820,41.180,39.92,299,0.903,bicubic,-51.217,-40.200,+18
tresnet_l_448,42.753,57.247,58.947,41.053,55.99,448,0.875,bilinear,-52.657,-40.353,-81
resnet50d,42.703,57.297,58.697,41.303,25.58,224,0.875,bicubic,-51.367,-40.223,+11
tresnet_l_448,42.753,57.247,58.947,41.053,55.99,448,0.875,bilinear,-52.657,-40.353,-87
resnet50d,42.707,57.293,58.697,41.303,25.58,224,0.875,bicubic,-51.363,-40.223,+11
gluon_seresnext50_32x4d,42.683,57.317,58.710,41.290,27.56,224,0.875,bicubic,-51.487,-40.200,0
resnext101_32x8d,42.557,57.443,58.317,41.683,88.79,224,0.875,bilinear,-51.213,-40.633,+38
seresnet50,42.510,57.490,58.667,41.333,28.09,224,0.875,bicubic,-51.570,-40.303,+7
resnetrs101,42.437,57.563,57.300,42.700,63.62,288,0.940,bicubic,-52.813,-41.910,-79
nf_resnet50,42.400,57.600,59.540,40.460,25.56,288,0.940,bicubic,-52.010,-39.560,-23
tf_efficientnetv2_b3,42.313,57.687,57.940,42.060,14.36,300,0.904,bicubic,-52.807,-41.260,-70
dpn98,42.280,57.720,56.880,43.120,61.57,224,0.875,bicubic,-51.660,-42.040,+16
vit_deit_small_patch16_224,42.263,57.737,58.020,41.980,22.05,224,0.900,bicubic,-51.737,-40.940,+11
tf_efficientnet_cc_b1_8e,42.233,57.767,58.420,41.580,39.72,240,0.882,bicubic,-51.337,-40.270,+58
legacy_senet154,42.207,57.793,56.597,43.403,115.09,224,0.875,bilinear,-52.523,-42.503,-54
cait_xxs24_384,42.187,57.813,57.460,42.540,12.03,384,1.000,bicubic,-52.733,-41.680,-66
tf_efficientnet_b2,42.120,57.880,58.197,41.803,9.11,260,0.890,bicubic,-52.090,-40.833,-16
nf_resnet50,42.510,57.490,59.520,40.480,25.56,288,0.940,bicubic,-51.890,-39.550,-23
seresnet50,42.510,57.490,58.667,41.333,28.09,224,0.875,bicubic,-51.570,-40.303,+6
resnetrs101,42.437,57.563,57.300,42.700,63.62,288,0.940,bicubic,-52.813,-41.910,-86
tf_efficientnetv2_b3,42.313,57.687,57.940,42.060,14.36,300,0.904,bicubic,-52.807,-41.260,-76
dpn98,42.280,57.720,56.880,43.120,61.57,224,0.875,bicubic,-51.660,-42.040,+17
deit_small_patch16_224,42.263,57.737,58.020,41.980,22.05,224,0.900,bicubic,-51.737,-40.940,+10
tf_efficientnet_cc_b1_8e,42.233,57.767,58.420,41.580,39.72,240,0.882,bicubic,-51.337,-40.270,+59
legacy_senet154,42.207,57.793,56.597,43.403,115.09,224,0.875,bilinear,-52.523,-42.503,-59
cait_xxs24_384,42.187,57.813,57.460,42.540,12.03,384,1.000,bicubic,-52.733,-41.680,-72
tf_efficientnet_b2,42.120,57.880,58.197,41.803,9.11,260,0.890,bicubic,-52.090,-40.853,-17
gluon_resnext50_32x4d,42.043,57.957,57.667,42.333,25.03,224,0.875,bicubic,-51.607,-41.023,+43
resnet50,42.013,57.987,56.000,44.000,25.56,224,0.875,bicubic,-51.447,-42.600,+62
resnet50,42.013,57.987,56.000,44.000,25.56,224,0.875,bicubic,-51.447,-42.600,+63
ecaresnet50d_pruned,41.953,58.047,58.217,41.783,19.94,224,0.875,bicubic,-51.867,-40.783,+19
efficientnet_b2,41.933,58.067,58.300,41.700,9.11,288,1.000,bicubic,-52.437,-40.750,-30
dla102x2,41.647,58.353,57.967,42.033,41.28,224,0.875,bilinear,-52.353,-41.063,+1
efficientnet_b2,41.933,58.067,58.300,41.700,9.11,288,1.000,bicubic,-52.437,-40.750,-32
dla102x2,41.647,58.353,57.967,42.033,41.28,224,0.875,bilinear,-52.353,-41.063,+2
hrnet_w64,41.637,58.363,57.130,42.870,128.06,224,0.875,bilinear,-52.193,-41.800,+15
gluon_senet154,41.627,58.373,56.373,43.627,115.09,224,0.875,bicubic,-53.083,-42.597,-60
inception_v4,41.577,58.423,55.383,44.617,42.68,299,0.875,bicubic,-52.803,-43.437,-35
efficientnet_el,41.497,58.503,58.303,41.697,10.59,300,0.904,bicubic,-53.173,-40.827,-59
gluon_senet154,41.627,58.373,56.373,43.627,115.09,224,0.875,bicubic,-53.083,-42.597,-64
inception_v4,41.577,58.423,55.383,44.617,42.68,299,0.875,bicubic,-52.803,-43.437,-37
efficientnet_el,41.497,58.503,58.303,41.697,10.59,300,0.904,bicubic,-53.173,-40.827,-63
efficientnet_em,41.493,58.507,58.877,41.123,6.90,240,0.882,bicubic,-52.247,-40.053,+23
tf_efficientnet_cc_b0_8e,41.487,58.513,57.377,42.623,24.01,224,0.875,bicubic,-51.383,-41.083,+93
swin_tiny_patch4_window7_224,41.457,58.543,57.303,42.697,28.29,224,0.900,bicubic,-53.163,-41.817,-56
tf_efficientnet_cc_b0_8e,41.487,58.513,57.377,42.623,24.01,224,0.875,bicubic,-51.383,-41.083,+97
swin_tiny_patch4_window7_224,41.457,58.543,57.303,42.697,28.29,224,0.900,bicubic,-53.163,-41.817,-60
resnext50_32x4d,41.443,58.557,56.997,43.003,25.03,224,0.875,bicubic,-52.397,-41.833,+7
cait_xxs24_224,41.383,58.617,57.527,42.473,11.96,224,1.000,bicubic,-52.107,-41.243,+48
tv_resnet152,41.327,58.673,57.520,42.480,60.19,224,0.875,bilinear,-51.913,-41.300,+61
xception71,41.270,58.730,55.873,44.127,42.34,299,0.903,bicubic,-52.620,-42.877,-3
cait_xxs24_224,41.383,58.617,57.527,42.473,11.96,224,1.000,bicubic,-52.107,-41.243,+49
tv_resnet152,41.327,58.673,57.520,42.480,60.19,224,0.875,bilinear,-51.913,-41.300,+64
xception71,41.270,58.730,55.873,44.127,42.34,299,0.903,bicubic,-52.620,-43.127,-3
dpn92,41.267,58.733,56.333,43.667,37.67,224,0.875,bicubic,-52.923,-42.597,-32
adv_inception_v3,41.263,58.737,56.317,43.683,23.83,299,0.875,bicubic,-51.747,-42.173,+72
gernet_s,41.247,58.753,58.830,41.170,8.17,224,0.875,bilinear,-51.193,-39.710,+109
resnetblur50,41.053,58.947,57.077,42.923,25.56,224,0.875,bicubic,-52.657,-41.733,+18
nf_regnet_b1,41.010,58.990,58.117,41.883,10.22,288,0.900,bicubic,-52.880,-40.833,-6
gluon_resnet50_v1d,40.970,59.030,57.137,42.863,25.58,224,0.875,bicubic,-52.560,-41.573,+36
gluon_inception_v3,40.907,59.093,55.617,44.383,23.83,299,0.875,bicubic,-52.633,-43.213,+33
adv_inception_v3,41.263,58.737,56.317,43.683,23.83,299,0.875,bicubic,-51.747,-42.173,+75
gernet_s,41.247,58.753,58.830,41.170,8.17,224,0.875,bilinear,-51.193,-39.670,+112
resnetblur50,41.053,58.947,57.077,42.923,25.56,224,0.875,bicubic,-52.657,-41.723,+16
nf_regnet_b1,41.013,58.987,58.120,41.880,10.22,288,0.900,bicubic,-52.867,-40.970,-4
gluon_resnet50_v1d,40.970,59.030,57.137,42.863,25.58,224,0.875,bicubic,-52.560,-41.573,+37
gluon_inception_v3,40.907,59.093,55.617,44.383,23.83,299,0.875,bicubic,-52.633,-43.213,+34
ese_vovnet39b,40.867,59.133,56.947,43.053,24.57,224,0.875,bicubic,-52.983,-41.953,-5
levit_192,40.847,59.153,56.687,43.313,10.95,224,0.900,bicubic,-52.863,-42.103,+12
regnety_320,40.813,59.187,56.117,43.883,145.05,224,0.875,bicubic,-53.707,-43.053,-61
resnet34d,40.810,59.190,56.530,43.470,21.82,224,0.875,bicubic,-51.830,-41.890,+88
xception,40.763,59.237,56.387,43.613,22.86,299,0.897,bicubic,-52.877,-42.383,+17
levit_192,40.847,59.153,56.687,43.313,10.95,224,0.900,bicubic,-52.863,-42.113,+14
regnety_320,40.813,59.187,56.117,43.883,145.05,224,0.875,bicubic,-53.707,-43.053,-64
resnet34d,40.810,59.190,56.530,43.470,21.82,224,0.875,bicubic,-51.830,-41.890,+93
xception,40.763,59.237,56.387,43.613,22.86,299,0.897,bicubic,-52.877,-42.383,+18
skresnext50_32x4d,40.700,59.300,56.023,43.977,27.48,224,0.875,bicubic,-53.250,-42.797,-20
gluon_resnet101_v1b,40.683,59.317,56.117,43.883,44.55,224,0.875,bicubic,-53.077,-42.723,-1
hrnet_w40,40.660,59.340,56.753,43.247,57.56,224,0.875,bilinear,-53.050,-42.047,+5
repvgg_b1,40.593,59.407,57.837,42.163,57.42,224,0.875,bilinear,-52.817,-40.953,+37
tf_efficientnet_lite3,40.563,59.437,56.477,43.523,8.20,300,0.904,bilinear,-53.567,-42.483,-39
tresnet_m_448,40.530,59.470,56.700,43.300,31.39,448,0.875,bilinear,-54.130,-42.390,-82
pit_xs_224,40.497,59.503,56.530,43.470,10.62,224,0.900,bicubic,-52.413,-42.250,+64
dla169,40.493,59.507,57.263,42.737,53.39,224,0.875,bilinear,-53.307,-41.577,-11
repvgg_b2,40.467,59.533,57.780,42.220,89.02,224,0.875,bilinear,-53.123,-41.060,+14
regnetx_320,40.443,59.557,55.660,44.340,107.81,224,0.875,bicubic,-53.767,-43.390,-55
coat_mini,40.420,59.580,55.167,44.833,10.34,224,0.900,bicubic,-54.350,-43.783,-97
skresnet34,40.397,59.603,56.737,43.263,22.28,224,0.875,bicubic,-52.173,-41.783,+82
efficientnet_el_pruned,40.390,59.610,56.903,43.097,10.59,300,0.904,bicubic,-53.700,-42.107,-44
efficientnet_b2_pruned,40.383,59.617,56.537,43.463,8.31,260,0.890,bicubic,-53.417,-42.373,-16
coat_lite_mini,40.360,59.640,55.717,44.283,11.01,224,0.900,bicubic,-53.090,-43.063,+22
legacy_seresnext101_32x4d,40.360,59.640,54.817,45.183,48.96,224,0.875,bilinear,-53.770,-44.153,-51
wide_resnet101_2,40.360,59.640,55.780,44.220,126.89,224,0.875,bilinear,-53.370,-43.030,-10
tf_efficientnet_b0_ap,40.337,59.663,56.787,43.213,5.29,224,0.875,bicubic,-52.273,-41.723,+70
xception65,40.273,59.727,55.283,44.717,39.92,299,0.903,bicubic,-53.487,-43.517,-17
regnetx_160,40.270,59.730,56.050,43.950,54.28,224,0.875,bicubic,-53.610,-42.750,-32
densenet201,40.267,59.733,56.710,43.290,20.01,224,0.875,bicubic,-52.423,-41.940,+62
resnext50d_32x4d,40.170,59.830,55.487,44.513,25.05,224,0.875,bicubic,-53.640,-43.253,-26
vit_small_patch16_224,40.130,59.870,56.543,43.457,48.75,224,0.900,bicubic,-52.470,-41.847,+68
gluon_resnet101_v1b,40.680,59.320,56.117,43.883,44.55,224,0.875,bicubic,-53.080,-42.583,+1
hrnet_w40,40.660,59.340,56.753,43.247,57.56,224,0.875,bilinear,-53.050,-42.067,+9
resmlp_24_224,40.653,59.347,56.573,43.427,30.02,224,0.875,bicubic,-52.787,-42.237,+37
repvgg_b1,40.593,59.407,57.837,42.163,57.42,224,0.875,bilinear,-52.817,-40.953,+39
tf_efficientnet_lite3,40.563,59.437,56.477,43.523,8.20,300,0.904,bilinear,-53.567,-42.483,-40
tresnet_m_448,40.530,59.470,56.700,43.300,31.39,448,0.875,bilinear,-54.130,-42.450,-86
pit_xs_224,40.497,59.503,56.530,43.470,10.62,224,0.900,bicubic,-52.413,-42.250,+66
dla169,40.493,59.507,57.263,42.737,53.39,224,0.875,bilinear,-53.307,-41.647,-11
repvgg_b2,40.467,59.533,57.780,42.220,89.02,224,0.875,bilinear,-53.123,-41.290,+15
regnetx_320,40.443,59.557,55.660,44.340,107.81,224,0.875,bicubic,-53.767,-43.370,-55
coat_mini,40.420,59.580,55.167,44.833,10.34,224,0.900,bicubic,-54.350,-43.783,-103
skresnet34,40.397,59.603,56.737,43.263,22.28,224,0.875,bicubic,-52.173,-41.783,+85
efficientnet_el_pruned,40.390,59.610,56.903,43.097,10.59,300,0.904,bicubic,-53.700,-42.077,-46
efficientnet_b2_pruned,40.383,59.617,56.537,43.463,8.31,260,0.890,bicubic,-53.417,-42.303,-18
coat_lite_mini,40.360,59.640,55.717,44.283,11.01,224,0.900,bicubic,-53.090,-42.983,+23
legacy_seresnext101_32x4d,40.360,59.640,54.817,45.183,48.96,224,0.875,bilinear,-53.770,-44.153,-52
wide_resnet101_2,40.360,59.640,55.780,44.220,126.89,224,0.875,bilinear,-53.370,-43.030,-11
tf_efficientnet_b0_ap,40.337,59.663,56.787,43.213,5.29,224,0.875,bicubic,-52.273,-41.583,+75
xception65,40.273,59.727,55.283,44.717,39.92,299,0.903,bicubic,-53.487,-43.577,-16
regnetx_160,40.270,59.730,56.050,43.950,54.28,224,0.875,bicubic,-53.610,-42.690,-33
densenet201,40.267,59.733,56.710,43.290,20.01,224,0.875,bicubic,-52.423,-41.940,+65
resnext50d_32x4d,40.170,59.830,55.487,44.513,25.05,224,0.875,bicubic,-53.640,-43.253,-27
hrnet_w48,40.093,59.907,56.640,43.360,77.47,224,0.875,bilinear,-53.937,-42.400,-50
legacy_seresnet152,40.043,59.957,55.820,44.180,66.82,224,0.875,bilinear,-53.397,-43.030,+14
hrnet_w30,40.030,59.970,57.093,42.907,37.71,224,0.875,bilinear,-53.340,-41.737,+17
legacy_seresnet152,40.043,59.957,55.820,44.180,66.82,224,0.875,bilinear,-53.397,-43.030,+15
hrnet_w30,40.030,59.970,57.093,42.907,37.71,224,0.875,bilinear,-53.340,-41.737,+20
regnetx_080,40.000,60.000,55.977,44.023,39.57,224,0.875,bicubic,-53.790,-42.933,-28
tf_efficientnet_b1,39.977,60.023,56.137,43.863,7.79,240,0.882,bicubic,-53.733,-42.663,-17
tf_efficientnet_b1,39.977,60.023,56.137,43.863,7.79,240,0.882,bicubic,-53.733,-42.673,-18
gluon_resnet101_v1c,39.953,60.047,55.300,44.700,44.57,224,0.875,bicubic,-53.737,-43.460,-16
tf_efficientnetv2_b0,39.787,60.213,56.283,43.717,7.14,224,0.875,bicubic,-53.273,-42.417,+26
resmlp_12_distilled_224,39.843,60.157,57.440,42.560,15.35,224,0.875,bicubic,-53.027,-41.190,+49
tf_efficientnetv2_b0,39.787,60.213,56.283,43.717,7.14,224,0.875,bicubic,-53.273,-42.417,+28
res2net101_26w_4s,39.717,60.283,54.550,45.450,45.21,224,0.875,bilinear,-53.803,-44.050,0
regnetx_120,39.687,60.313,55.633,44.367,46.11,224,0.875,bicubic,-54.583,-43.557,-81
hrnet_w44,39.677,60.323,55.333,44.667,67.06,224,0.875,bilinear,-53.943,-43.627,-12
densenet161,39.620,60.380,56.133,43.867,28.68,224,0.875,bicubic,-53.280,-42.587,+40
mixnet_xl,39.617,60.383,55.887,44.113,11.90,224,0.875,bicubic,-54.613,-42.933,-81
xception41,39.610,60.390,55.037,44.963,26.97,299,0.903,bicubic,-53.870,-43.713,-1
res2net50_26w_8s,39.603,60.397,54.550,45.450,48.40,224,0.875,bilinear,-53.847,-44.150,+1
tf_efficientnetv2_b1,39.570,60.430,55.343,44.657,8.14,240,0.882,bicubic,-54.140,-43.477,-26
dla102x,39.553,60.447,56.323,43.677,26.31,224,0.875,bilinear,-53.977,-42.527,-10
rexnet_130,39.487,60.513,56.640,43.360,7.56,224,0.875,bicubic,-54.183,-42.070,-25
regnetx_120,39.687,60.313,55.633,44.367,46.11,224,0.875,bicubic,-54.583,-43.557,-83
hrnet_w44,39.677,60.323,55.333,44.667,67.06,224,0.875,bilinear,-53.943,-43.367,-13
vit_small_patch32_224,39.667,60.333,55.253,44.747,22.88,224,0.900,bicubic,-52.483,-43.257,+80
densenet161,39.620,60.380,56.133,43.867,28.68,224,0.875,bicubic,-53.280,-42.587,+41
resmlp_big_24_224,39.620,60.380,54.817,45.183,129.14,224,0.875,bicubic,-54.640,-44.003,-84
mixnet_xl,39.617,60.383,55.887,44.113,11.90,224,0.875,bicubic,-54.613,-42.933,-84
xception41,39.610,60.390,55.037,44.963,26.97,299,0.903,bicubic,-53.870,-43.713,-3
res2net50_26w_8s,39.603,60.397,54.550,45.450,48.40,224,0.875,bilinear,-53.847,-44.230,-2
tf_efficientnetv2_b1,39.570,60.430,55.343,44.657,8.14,240,0.882,bicubic,-54.140,-43.447,-32
dla102x,39.553,60.447,56.323,43.677,26.31,224,0.875,bilinear,-53.977,-42.527,-12
rexnet_130,39.487,60.513,56.640,43.360,7.56,224,0.875,bicubic,-54.183,-42.070,-28
hrnet_w32,39.463,60.537,56.123,43.877,41.23,224,0.875,bilinear,-53.487,-42.717,+27
levit_128,39.433,60.567,55.350,44.650,9.21,224,0.900,bicubic,-53.617,-43.340,+15
regnety_064,39.403,60.597,55.773,44.227,30.58,224,0.875,bicubic,-54.737,-43.177,-81
resnetv2_50x1_bitm,39.440,60.560,57.847,42.153,25.55,448,1.000,bilinear,-55.290,-41.333,-132
levit_128,39.433,60.567,55.350,44.650,9.21,224,0.900,bicubic,-53.617,-43.340,+14
regnety_064,39.403,60.597,55.773,44.227,30.58,224,0.875,bicubic,-54.737,-43.257,-84
densenetblur121d,39.380,60.620,56.640,43.360,8.00,224,0.875,bicubic,-53.020,-41.770,+57
regnety_120,39.347,60.653,55.277,44.723,51.82,224,0.875,bicubic,-54.663,-43.753,-68
tv_resnet101,39.307,60.693,55.803,44.197,44.55,224,0.875,bilinear,-53.573,-42.857,+29
tf_efficientnet_el,39.303,60.697,55.387,44.613,10.59,300,0.904,bicubic,-55.057,-43.713,-100
tf_inception_v3,39.237,60.763,54.300,45.700,23.83,299,0.875,bicubic,-53.963,-44.180,+3
gluon_resnet50_v1s,39.233,60.767,55.010,44.990,25.68,224,0.875,bicubic,-54.357,-43.740,-24
tf_efficientnetv2_b2,39.180,60.820,54.570,45.430,10.10,260,0.890,bicubic,-54.890,-44.360,-78
regnety_120,39.347,60.653,55.277,44.723,51.82,224,0.875,bicubic,-54.663,-43.753,-72
tv_resnet101,39.307,60.693,55.803,44.197,44.55,224,0.875,bilinear,-53.573,-42.857,+28
tf_efficientnet_el,39.303,60.697,55.387,44.613,10.59,300,0.904,bicubic,-55.057,-43.713,-106
tf_inception_v3,39.237,60.763,54.300,45.700,23.83,299,0.875,bicubic,-53.963,-44.180,+2
gluon_resnet50_v1s,39.233,60.767,55.010,44.990,25.68,224,0.875,bicubic,-54.357,-43.830,-29
tf_efficientnetv2_b2,39.180,60.820,54.570,45.430,10.10,260,0.890,bicubic,-54.890,-44.360,-82
densenet169,39.167,60.833,55.843,44.157,14.15,224,0.875,bicubic,-53.133,-42.747,+54
legacy_seresnet101,39.037,60.963,55.003,44.997,49.33,224,0.875,bilinear,-54.223,-43.737,-7
efficientnet_b1_pruned,39.010,60.990,55.647,44.353,6.33,240,0.882,bicubic,-53.970,-42.883,+12
repvgg_b1g4,38.990,61.010,56.350,43.650,39.97,224,0.875,bilinear,-54.040,-42.360,+5
inception_v3,38.960,61.040,53.853,46.147,23.83,299,0.875,bicubic,-53.940,-44.477,+18
legacy_seresnet101,39.037,60.963,55.003,44.997,49.33,224,0.875,bilinear,-54.223,-43.737,-8
efficientnet_b1_pruned,39.010,60.990,55.647,44.353,6.33,240,0.882,bicubic,-53.970,-42.883,+11
repvgg_b1g4,38.990,61.010,56.350,43.650,39.97,224,0.875,bilinear,-54.040,-42.470,+5
inception_v3,38.960,61.040,53.853,46.147,23.83,299,0.875,bicubic,-53.940,-44.477,+17
dpn68,38.933,61.067,54.933,45.067,12.61,224,0.875,bicubic,-53.307,-43.677,+52
regnety_080,38.917,61.083,55.213,44.787,39.18,224,0.875,bicubic,-54.973,-43.787,-71
legacy_seresnext50_32x4d,38.877,61.123,54.593,45.407,27.56,224,0.875,bilinear,-54.553,-44.207,-18
dla102,38.833,61.167,55.323,44.677,33.27,224,0.875,bilinear,-54.427,-43.457,-15
regnety_040,38.820,61.180,55.557,44.443,20.65,224,0.875,bicubic,-54.800,-43.393,-38
densenet121,38.783,61.217,56.273,43.727,7.98,224,0.875,bicubic,-53.157,-42.007,+54
res2net50_14w_8s,38.710,61.290,54.077,45.923,25.06,224,0.875,bilinear,-54.320,-44.743,-2
regnetx_040,38.703,61.297,55.340,44.660,22.12,224,0.875,bicubic,-54.977,-43.600,-49
res2net50_26w_6s,38.687,61.313,53.743,46.257,37.05,224,0.875,bilinear,-54.903,-45.327,-40
regnetx_032,38.680,61.320,55.157,44.843,15.30,224,0.875,bicubic,-54.570,-43.573,-18
selecsls60,38.623,61.377,55.630,44.370,30.67,224,0.875,bicubic,-54.387,-43.200,-3
dla60x,38.617,61.383,55.383,44.617,17.35,224,0.875,bilinear,-54.573,-43.327,-15
regnety_080,38.917,61.083,55.213,44.787,39.18,224,0.875,bicubic,-54.973,-43.737,-75
legacy_seresnext50_32x4d,38.877,61.123,54.593,45.407,27.56,224,0.875,bilinear,-54.553,-44.207,-20
dla102,38.833,61.167,55.323,44.677,33.27,224,0.875,bilinear,-54.427,-43.457,-16
regnety_040,38.820,61.180,55.557,44.443,20.65,224,0.875,bicubic,-54.800,-43.403,-42
densenet121,38.783,61.217,56.273,43.727,7.98,224,0.875,bicubic,-53.157,-42.007,+56
res2net50_14w_8s,38.710,61.290,54.077,45.923,25.06,224,0.875,bilinear,-54.320,-44.633,-4
regnetx_040,38.703,61.297,55.340,44.660,22.12,224,0.875,bicubic,-54.977,-43.600,-53
res2net50_26w_6s,38.687,61.313,53.743,46.257,37.05,224,0.875,bilinear,-54.903,-45.007,-42
regnetx_032,38.680,61.320,55.157,44.843,15.30,224,0.875,bicubic,-54.570,-43.573,-19
selecsls60,38.623,61.377,55.630,44.370,30.67,224,0.875,bicubic,-54.387,-43.200,-4
dla60x,38.617,61.383,55.383,44.617,17.35,224,0.875,bilinear,-54.573,-43.327,-16
tf_efficientnet_b0,38.600,61.400,55.957,44.043,5.29,224,0.875,bicubic,-53.800,-42.513,+34
dla60_res2net,38.590,61.410,54.560,45.440,20.85,224,0.875,bilinear,-54.790,-44.300,-27
selecsls60b,38.573,61.427,55.307,44.693,32.77,224,0.875,bicubic,-54.927,-43.533,-37
repvgg_a2,38.563,61.437,55.770,44.230,28.21,224,0.875,bilinear,-54.117,-42.750,+13
hardcorenas_f,38.500,61.500,55.657,44.343,8.20,224,0.875,bilinear,-54.480,-42.963,-6
dla60_res2next,38.450,61.550,54.950,45.050,17.03,224,0.875,bilinear,-55.120,-43.850,-47
regnetx_064,38.430,61.570,54.990,45.010,26.21,224,0.875,bicubic,-55.200,-44.060,-56
tf_efficientnet_cc_b0_4e,38.413,61.587,55.150,44.850,13.31,224,0.875,bicubic,-54.427,-43.290,+4
gluon_resnet50_v1b,38.407,61.593,54.833,45.167,25.56,224,0.875,bicubic,-54.153,-43.717,+19
resnetv2_50x1_bitm,38.287,61.713,56.967,43.033,25.55,480,1.000,bilinear,-56.263,-42.283,-141
dla60_res2net,38.590,61.410,54.560,45.440,20.85,224,0.875,bilinear,-54.790,-44.300,-28
selecsls60b,38.573,61.427,55.307,44.693,32.77,224,0.875,bicubic,-54.927,-43.533,-40
repvgg_a2,38.563,61.437,55.770,44.230,28.21,224,0.875,bilinear,-54.117,-42.510,+13
hardcorenas_f,38.500,61.500,55.657,44.343,8.20,224,0.875,bilinear,-54.480,-42.963,-7
dla60_res2next,38.450,61.550,54.950,45.050,17.03,224,0.875,bilinear,-55.120,-43.850,-50
resmlp_12_224,38.443,61.557,56.327,43.673,15.35,224,0.875,bicubic,-53.677,-42.243,+39
regnetx_064,38.430,61.570,54.990,45.010,26.21,224,0.875,bicubic,-55.200,-44.060,-60
tf_efficientnet_cc_b0_4e,38.413,61.587,55.150,44.850,13.31,224,0.875,bicubic,-54.427,-43.290,+3
gluon_resnet50_v1b,38.407,61.593,54.833,45.167,25.56,224,0.875,bicubic,-54.153,-43.717,+18
hrnet_w18,38.277,61.723,55.643,44.357,21.30,224,0.875,bilinear,-54.483,-43.017,+4
mixnet_l,38.160,61.840,54.757,45.243,7.33,224,0.875,bicubic,-55.100,-43.943,-33
hardcorenas_e,38.137,61.863,55.173,44.827,8.07,224,0.875,bilinear,-54.813,-43.397,-13
efficientnet_b1,38.087,61.913,54.010,45.990,7.79,256,1.000,bicubic,-54.943,-44.690,-20
mixnet_l,38.160,61.840,54.757,45.243,7.33,224,0.875,bicubic,-55.100,-43.943,-34
hardcorenas_e,38.137,61.863,55.173,44.827,8.07,224,0.875,bilinear,-54.813,-43.397,-14
efficientnet_b1,38.087,61.913,54.010,45.990,7.79,256,1.000,bicubic,-54.943,-44.690,-21
coat_lite_tiny,38.070,61.930,53.453,46.547,5.72,224,0.900,bicubic,-54.780,-45.187,-5
resnetrs50,37.957,62.043,53.310,46.690,35.69,224,0.910,bicubic,-56.063,-45.540,-108
hardcorenas_c,37.883,62.117,55.717,44.283,5.52,224,0.875,bilinear,-54.447,-42.623,+19
gluon_resnet50_v1c,37.843,62.157,54.123,45.877,25.58,224,0.875,bicubic,-55.067,-44.587,-15
res2net50_26w_4s,37.827,62.173,53.073,46.927,25.70,224,0.875,bilinear,-55.353,-45.597,-33
efficientnet_es,37.770,62.230,54.967,45.033,5.44,224,0.875,bicubic,-55.140,-43.723,-18
resnest14d,37.767,62.233,56.470,43.530,10.61,224,0.875,bilinear,-53.363,-41.860,+54
tv_resnext50_32x4d,37.750,62.250,54.113,45.887,25.03,224,0.875,bilinear,-55.150,-44.697,-17
ecaresnet26t,37.650,62.350,54.350,45.650,16.01,320,0.950,bicubic,-56.290,-44.570,-106
gmixer_24_224,38.050,61.950,52.083,47.917,24.72,224,0.875,bicubic,-54.630,-46.437,+2
resnetrs50,37.957,62.043,53.310,46.690,35.69,224,0.910,bicubic,-56.063,-45.540,-113
hardcorenas_c,37.883,62.117,55.717,44.283,5.52,224,0.875,bilinear,-54.447,-42.623,+18
gluon_resnet50_v1c,37.843,62.157,54.123,45.877,25.58,224,0.875,bicubic,-55.067,-44.587,-17
res2net50_26w_4s,37.827,62.173,53.073,46.927,25.70,224,0.875,bilinear,-55.353,-45.597,-35
efficientnet_es,37.770,62.230,54.967,45.033,5.44,224,0.875,bicubic,-55.140,-43.723,-20
resnest14d,37.767,62.233,56.470,43.530,10.61,224,0.875,bilinear,-53.363,-41.860,+57
tv_resnext50_32x4d,37.750,62.250,54.113,45.887,25.03,224,0.875,bilinear,-55.150,-44.697,-19
ecaresnet26t,37.650,62.350,54.350,45.650,16.01,320,0.950,bicubic,-56.290,-44.540,-113
hardcorenas_d,37.550,62.450,54.723,45.277,7.50,224,0.875,bilinear,-55.050,-43.707,-1
res2next50,37.477,62.523,52.853,47.147,24.67,224,0.875,bilinear,-55.673,-45.807,-37
resnet34,37.443,62.557,54.297,45.703,21.80,224,0.875,bilinear,-53.757,-43.943,+45
pit_ti_distilled_224,37.337,62.663,55.137,44.863,5.10,224,0.900,bicubic,-53.563,-43.083,+53
hardcorenas_b,37.243,62.757,55.073,44.927,5.18,224,0.875,bilinear,-54.697,-43.327,+21
mobilenetv3_large_100_miil,37.210,62.790,53.513,46.487,5.48,224,0.875,bilinear,-55.040,-44.737,+11
res2net50_48w_2s,37.117,62.883,53.333,46.667,25.29,224,0.875,bilinear,-55.673,-45.137,-16
dla60,37.073,62.927,54.200,45.800,22.04,224,0.875,bilinear,-55.597,-44.450,-12
rexnet_100,37.063,62.937,54.020,45.980,4.80,224,0.875,bicubic,-55.787,-44.600,-21
regnety_016,37.017,62.983,54.093,45.907,11.20,224,0.875,bicubic,-55.983,-44.587,-36
tf_mixnet_l,36.987,63.013,52.583,47.417,7.33,224,0.875,bicubic,-56.053,-45.957,-43
legacy_seresnet50,36.873,63.127,53.487,46.513,28.09,224,0.875,bilinear,-55.797,-45.143,-17
tv_densenet121,36.810,63.190,54.033,45.967,7.98,224,0.875,bicubic,-54.590,-44.217,+28
tf_efficientnet_lite2,36.807,63.193,53.320,46.680,6.09,260,0.890,bicubic,-55.783,-45.230,-12
mobilenetv2_120d,36.780,63.220,54.047,45.953,5.83,224,0.875,bicubic,-55.830,-44.323,-16
tf_efficientnet_lite1,36.737,63.263,53.590,46.410,5.42,240,0.882,bicubic,-55.573,-44.900,-2
regnetx_016,36.683,63.317,53.297,46.703,9.19,224,0.875,bicubic,-55.857,-45.253,-11
hardcorenas_a,36.640,63.360,54.910,45.090,5.26,224,0.875,bilinear,-54.980,-43.260,+15
levit_128s,36.620,63.380,53.117,46.883,7.78,224,0.900,bicubic,-54.880,-45.283,+17
efficientnet_b0,36.600,63.400,53.497,46.503,5.29,224,0.875,bicubic,-55.880,-45.183,-13
tf_efficientnet_em,36.380,63.620,52.840,47.160,6.90,240,0.882,bicubic,-56.790,-45.830,-57
skresnet18,36.320,63.680,54.197,45.803,11.96,224,0.875,bicubic,-53.840,-43.583,+46
repvgg_b0,36.287,63.713,54.057,45.943,15.82,224,0.875,bilinear,-55.393,-44.393,+7
res2next50,37.477,62.523,52.853,47.147,24.67,224,0.875,bilinear,-55.673,-45.807,-39
resnet34,37.443,62.557,54.297,45.703,21.80,224,0.875,bilinear,-53.757,-43.943,+48
pit_ti_distilled_224,37.337,62.663,55.137,44.863,5.10,224,0.900,bicubic,-53.563,-43.083,+56
hardcorenas_b,37.243,62.757,55.073,44.927,5.18,224,0.875,bilinear,-54.697,-43.327,+22
mobilenetv3_large_100_miil,37.210,62.790,53.513,46.487,5.48,224,0.875,bilinear,-55.040,-44.737,+10
res2net50_48w_2s,37.117,62.883,53.333,46.667,25.29,224,0.875,bilinear,-55.673,-45.137,-17
dla60,37.073,62.927,54.200,45.800,22.04,224,0.875,bilinear,-55.597,-44.430,-13
rexnet_100,37.063,62.937,54.020,45.980,4.80,224,0.875,bicubic,-55.787,-44.600,-22
regnety_016,37.017,62.983,54.093,45.907,11.20,224,0.875,bicubic,-55.983,-44.587,-38
tf_mixnet_l,36.987,63.013,52.583,47.417,7.33,224,0.875,bicubic,-56.053,-45.957,-45
legacy_seresnet50,36.873,63.127,53.487,46.513,28.09,224,0.875,bilinear,-55.797,-45.163,-16
tv_densenet121,36.810,63.190,54.033,45.967,7.98,224,0.875,bicubic,-54.590,-44.217,+31
tf_efficientnet_lite2,36.807,63.193,53.320,46.680,6.09,260,0.890,bicubic,-55.783,-45.230,-13
mobilenetv2_120d,36.780,63.220,54.047,45.953,5.83,224,0.875,bicubic,-55.830,-44.463,-17
tf_efficientnet_lite1,36.737,63.263,53.590,46.410,5.42,240,0.882,bicubic,-55.573,-44.900,-3
regnetx_016,36.683,63.317,53.297,46.703,9.19,224,0.875,bicubic,-55.857,-45.253,-12
hardcorenas_a,36.640,63.360,54.910,45.090,5.26,224,0.875,bilinear,-54.980,-43.260,+18
levit_128s,36.620,63.380,53.117,46.883,7.78,224,0.900,bicubic,-54.880,-45.283,+20
efficientnet_b0,36.600,63.400,53.497,46.503,5.29,224,0.875,bicubic,-55.880,-44.943,-13
tf_efficientnet_em,36.380,63.620,52.840,47.160,6.90,240,0.882,bicubic,-56.790,-45.830,-59
skresnet18,36.320,63.680,54.197,45.803,11.96,224,0.875,bicubic,-53.840,-43.583,+49
repvgg_b0,36.287,63.713,54.057,45.943,15.82,224,0.875,bilinear,-55.393,-44.183,+11
tv_resnet50,36.177,63.823,52.803,47.197,25.56,224,0.875,bilinear,-55.963,-45.617,-3
legacy_seresnet34,36.143,63.857,52.553,47.447,21.96,224,0.875,bilinear,-55.337,-45.647,+12
coat_tiny,36.123,63.877,51.063,48.937,5.50,224,0.900,bicubic,-57.387,-47.627,-84
tv_resnet34,36.087,63.913,53.533,46.467,21.80,224,0.875,bilinear,-54.203,-44.447,+40
vit_deit_tiny_distilled_patch16_224,36.023,63.977,54.240,45.760,5.91,224,0.900,bicubic,-55.077,-44.030,+26
mobilenetv2_140,36.000,64.000,53.943,46.057,6.11,224,0.875,bicubic,-56.030,-44.307,-6
tf_efficientnet_lite0,35.930,64.070,53.480,46.520,4.65,224,0.875,bicubic,-55.370,-44.610,+13
selecsls42b,35.813,64.187,52.487,47.513,32.46,224,0.875,bicubic,-56.667,-45.953,-23
gluon_resnet34_v1b,35.763,64.237,52.187,47.813,21.80,224,0.875,bicubic,-55.337,-45.993,+21
dla34,35.643,64.357,52.783,47.217,15.74,224,0.875,bilinear,-55.597,-45.397,+13
mixnet_m,35.640,64.360,52.430,47.570,5.01,224,0.875,bicubic,-56.630,-45.920,-18
efficientnet_lite0,35.620,64.380,53.657,46.343,4.65,224,0.875,bicubic,-55.640,-44.593,+10
ssl_resnet18,35.597,64.403,53.740,46.260,11.69,224,0.875,bilinear,-55.103,-44.280,+24
mobilenetv3_rw,35.547,64.453,53.713,46.287,5.48,224,0.875,bicubic,-56.003,-44.557,-2
efficientnet_es_pruned,35.390,64.610,52.850,47.150,5.44,224,0.875,bicubic,-56.310,-45.570,-9
mobilenetv2_110d,35.293,64.707,52.830,47.170,4.52,224,0.875,bicubic,-56.057,-45.360,+3
tf_mixnet_m,35.180,64.820,50.987,49.013,5.01,224,0.875,bicubic,-57.020,-47.433,-20
hrnet_w18_small_v2,35.173,64.827,52.440,47.560,15.60,224,0.875,bilinear,-55.997,-45.900,+9
resnet18d,35.127,64.873,52.890,47.110,11.71,224,0.875,bicubic,-54.863,-44.940,+27
convit_tiny,35.047,64.953,51.787,48.213,5.71,224,0.875,bicubic,-55.483,-46.423,+20
ese_vovnet19b_dw,34.840,65.160,52.030,47.970,6.54,224,0.875,bicubic,-57.170,-46.480,-20
regnety_008,34.807,65.193,51.743,48.257,6.26,224,0.875,bicubic,-57.093,-46.677,-18
pit_ti_224,34.670,65.330,52.170,47.830,4.85,224,0.900,bicubic,-55.750,-45.840,+19
mobilenetv3_large_100,34.603,65.397,52.860,47.140,5.48,224,0.875,bicubic,-56.877,-45.460,-9
seresnext26d_32x4d,34.543,65.457,51.543,48.457,16.81,224,0.875,bicubic,-57.897,-46.957,-39
seresnext26t_32x4d,34.540,65.460,51.377,48.623,16.81,224,0.875,bicubic,-58.280,-47.183,-59
mixer_b16_224,34.423,65.577,48.093,51.907,59.88,224,0.875,bicubic,-56.717,-49.307,+1
resnet26d,34.273,65.727,51.687,48.313,16.01,224,0.875,bicubic,-57.957,-46.763,-32
tf_efficientnet_es,34.263,65.737,51.350,48.650,5.44,224,0.875,bicubic,-57.837,-47.090,-30
fbnetc_100,34.253,65.747,51.180,48.820,5.57,224,0.875,bilinear,-57.017,-46.650,-9
regnety_006,34.150,65.850,51.277,48.723,6.06,224,0.875,bicubic,-57.420,-47.153,-20
tf_mobilenetv3_large_100,33.950,66.050,51.490,48.510,5.48,224,0.875,bilinear,-57.470,-46.770,-15
regnetx_008,33.770,66.230,50.547,49.453,7.26,224,0.875,bicubic,-57.410,-47.833,-7
mnasnet_100,33.763,66.237,51.170,48.830,4.38,224,0.875,bicubic,-57.437,-46.880,-10
semnasnet_100,33.520,66.480,50.787,49.213,3.89,224,0.875,bicubic,-58.140,-47.483,-26
resnet26,33.500,66.500,50.927,49.073,16.00,224,0.875,bicubic,-57.940,-47.353,-20
legacy_seresnet34,36.143,63.857,52.553,47.447,21.96,224,0.875,bilinear,-55.337,-45.647,+15
coat_tiny,36.123,63.877,51.063,48.937,5.50,224,0.900,bicubic,-57.387,-47.627,-88
tv_resnet34,36.087,63.913,53.533,46.467,21.80,224,0.875,bilinear,-54.203,-44.447,+43
deit_tiny_distilled_patch16_224,36.023,63.977,54.240,45.760,5.91,224,0.900,bicubic,-55.077,-44.030,+28
mobilenetv2_140,36.000,64.000,53.943,46.057,6.11,224,0.875,bicubic,-56.030,-44.307,-5
tf_efficientnet_lite0,35.930,64.070,53.480,46.520,4.65,224,0.875,bicubic,-55.370,-44.610,+16
selecsls42b,35.813,64.187,52.487,47.513,32.46,224,0.875,bicubic,-56.667,-46.193,-25
gluon_resnet34_v1b,35.760,64.240,52.187,47.813,21.80,224,0.875,bicubic,-55.340,-45.993,+25
dla34,35.643,64.357,52.783,47.217,15.74,224,0.875,bilinear,-55.597,-45.397,+16
mixnet_m,35.640,64.360,52.430,47.570,5.01,224,0.875,bicubic,-56.630,-45.920,-19
efficientnet_lite0,35.620,64.380,53.657,46.343,4.65,224,0.875,bicubic,-55.640,-44.593,+13
ssl_resnet18,35.597,64.403,53.740,46.260,11.69,224,0.875,bilinear,-55.103,-44.280,+27
mobilenetv3_rw,35.547,64.453,53.713,46.287,5.48,224,0.875,bicubic,-56.003,-44.557,+1
efficientnet_es_pruned,35.390,64.610,52.850,47.150,5.44,224,0.875,bicubic,-56.310,-45.570,-6
mobilenetv2_110d,35.293,64.707,52.830,47.170,4.52,224,0.875,bicubic,-56.057,-45.360,+6
tf_mixnet_m,35.180,64.820,50.987,49.013,5.01,224,0.875,bicubic,-57.020,-47.433,-21
hrnet_w18_small_v2,35.173,64.827,52.440,47.560,15.60,224,0.875,bilinear,-55.997,-45.900,+12
resnet18d,35.127,64.873,52.890,47.110,11.71,224,0.875,bicubic,-54.863,-44.940,+30
convit_tiny,35.047,64.953,51.787,48.213,5.71,224,0.875,bicubic,-55.483,-46.423,+23
ese_vovnet19b_dw,34.840,65.160,52.030,47.970,6.54,224,0.875,bicubic,-57.170,-46.480,-19
regnety_008,34.807,65.193,51.743,48.257,6.26,224,0.875,bicubic,-57.093,-46.677,-16
pit_ti_224,34.670,65.330,52.170,47.830,4.85,224,0.900,bicubic,-55.750,-45.840,+22
mobilenetv3_large_100,34.603,65.397,52.860,47.140,5.48,224,0.875,bicubic,-56.877,-45.460,-6
seresnext26d_32x4d,34.543,65.457,51.543,48.457,16.81,224,0.875,bicubic,-57.897,-46.997,-39
seresnext26t_32x4d,34.540,65.460,51.377,48.623,16.81,224,0.875,bicubic,-58.280,-47.183,-60
mixer_b16_224,34.423,65.577,48.093,51.907,59.88,224,0.875,bicubic,-56.717,-49.307,+4
resnet26d,34.273,65.727,51.687,48.313,16.01,224,0.875,bicubic,-57.957,-46.763,-33
tf_efficientnet_es,34.263,65.737,51.350,48.650,5.44,224,0.875,bicubic,-57.837,-47.090,-29
fbnetc_100,34.253,65.747,51.180,48.820,5.57,224,0.875,bilinear,-57.017,-46.650,-6
regnety_006,34.150,65.850,51.277,48.723,6.06,224,0.875,bicubic,-57.420,-47.153,-17
tf_mobilenetv3_large_100,33.950,66.050,51.490,48.510,5.48,224,0.875,bilinear,-57.470,-46.770,-12
regnetx_008,33.770,66.230,50.547,49.453,7.26,224,0.875,bicubic,-57.410,-47.833,-4
mnasnet_100,33.763,66.237,51.170,48.830,4.38,224,0.875,bicubic,-57.437,-46.880,-7
vit_tiny_r_s16_p8_384,33.650,66.350,50.683,49.317,6.36,384,1.000,bicubic,-58.080,-47.747,-27
vit_tiny_patch16_384,33.550,66.450,51.077,48.923,5.79,384,1.000,bicubic,-59.870,-47.753,-111
semnasnet_100,33.520,66.480,50.787,49.213,3.89,224,0.875,bicubic,-58.140,-47.483,-25
resnet26,33.500,66.500,50.927,49.073,16.00,224,0.875,bicubic,-57.940,-47.353,-19
mixnet_s,33.480,66.520,50.997,49.003,4.13,224,0.875,bicubic,-58.300,-47.303,-32
spnasnet_100,33.477,66.523,51.267,48.733,4.42,224,0.875,bilinear,-57.133,-46.683,0
vgg19_bn,33.230,66.770,50.803,49.197,143.68,224,0.875,bilinear,-57.760,-47.307,-6
ghostnet_100,33.207,66.793,51.163,48.837,5.18,224,0.875,bilinear,-57.233,-46.667,+1
regnetx_006,33.157,66.843,50.250,49.750,6.20,224,0.875,bicubic,-57.603,-47.850,-5
resnet18,33.067,66.933,51.170,48.830,11.69,224,0.875,bilinear,-55.083,-45.950,+17
legacy_seresnext26_32x4d,32.757,67.243,49.237,50.763,16.79,224,0.875,bicubic,-59.813,-49.183,-63
spnasnet_100,33.477,66.523,51.267,48.733,4.42,224,0.875,bilinear,-57.133,-46.683,+1
vgg19_bn,33.230,66.770,50.803,49.197,143.68,224,0.875,bilinear,-57.770,-47.307,-5
ghostnet_100,33.207,66.793,51.163,48.837,5.18,224,0.875,bilinear,-57.233,-46.667,+2
regnetx_006,33.157,66.843,50.250,49.750,6.20,224,0.875,bicubic,-57.603,-47.850,-4
resnet18,33.067,66.933,51.170,48.830,11.69,224,0.875,bilinear,-55.083,-45.950,+19
legacy_seresnext26_32x4d,32.757,67.243,49.237,50.763,16.79,224,0.875,bicubic,-59.813,-49.183,-66
deit_tiny_patch16_224,32.667,67.333,50.273,49.727,5.72,224,0.900,bicubic,-56.953,-47.687,+7
hrnet_w18_small,32.667,67.333,50.587,49.413,13.19,224,0.875,bilinear,-57.213,-47.313,+3
vit_deit_tiny_patch16_224,32.667,67.333,50.273,49.727,5.72,224,0.900,bicubic,-56.953,-47.687,+5
legacy_seresnet18,32.600,67.400,50.340,49.660,11.78,224,0.875,bicubic,-56.670,-47.340,+7
mobilenetv2_100,32.523,67.477,50.800,49.200,3.50,224,0.875,bicubic,-57.307,-47.030,+1
regnetx_004,32.517,67.483,49.343,50.657,5.16,224,0.875,bicubic,-56.943,-48.427,+3
gluon_resnet18_v1b,32.407,67.593,49.727,50.273,11.69,224,0.875,bicubic,-56.253,-47.373,+7
regnety_004,32.333,67.667,49.453,50.547,4.34,224,0.875,bicubic,-58.447,-48.627,-15
tf_mixnet_s,32.183,67.817,48.493,51.507,4.13,224,0.875,bicubic,-59.497,-49.747,-43
legacy_seresnet18,32.600,67.400,50.340,49.660,11.78,224,0.875,bicubic,-56.670,-47.340,+9
mobilenetv2_100,32.523,67.477,50.800,49.200,3.50,224,0.875,bicubic,-57.307,-47.030,+2
regnetx_004,32.517,67.483,49.343,50.657,5.16,224,0.875,bicubic,-56.943,-48.427,+4
gluon_resnet18_v1b,32.407,67.593,49.727,50.273,11.69,224,0.875,bicubic,-56.253,-47.373,+9
regnety_004,32.333,67.667,49.453,50.547,4.34,224,0.875,bicubic,-58.447,-48.627,-14
tf_mixnet_s,32.183,67.817,48.493,51.507,4.13,224,0.875,bicubic,-59.497,-49.957,-43
vit_tiny_patch16_224,32.023,67.977,49.017,50.983,5.72,224,0.900,bicubic,-59.907,-49.323,-49
tf_mobilenetv3_large_075,31.867,68.133,49.110,50.890,3.99,224,0.875,bilinear,-58.453,-48.760,-9
tf_mobilenetv3_large_minimal_100,31.597,68.403,49.337,50.663,3.92,224,0.875,bilinear,-57.583,-47.983,+2
vgg16_bn,30.357,69.643,47.260,52.740,138.37,224,0.875,bilinear,-60.183,-50.730,-15
tf_mobilenetv3_large_minimal_100,31.597,68.403,49.337,50.663,3.92,224,0.875,bilinear,-57.583,-47.983,+3
vit_tiny_r_s16_p8_224,30.807,69.193,47.657,52.343,6.34,224,0.900,bicubic,-58.533,-50.043,-1
vgg16_bn,30.357,69.643,47.260,52.740,138.37,224,0.875,bilinear,-60.183,-50.730,-16
regnety_002,29.687,70.313,46.787,53.213,3.16,224,0.875,bicubic,-58.513,-50.643,+3
vgg13_bn,28.883,71.117,46.737,53.263,133.05,224,0.875,bilinear,-60.317,-50.793,-2
regnetx_002,28.860,71.140,45.420,54.580,2.68,224,0.875,bicubic,-58.520,-51.570,+4
vgg19,28.580,71.420,45.170,54.830,143.67,224,0.875,bilinear,-61.100,-52.380,-9
vgg19,28.580,71.420,45.170,54.830,143.67,224,0.875,bilinear,-61.100,-52.380,-10
dla60x_c,28.447,71.553,46.193,53.807,1.32,224,0.875,bilinear,-58.663,-50.947,+4
vgg11_bn,28.423,71.577,46.453,53.547,132.87,224,0.875,bilinear,-59.967,-50.817,-3
vgg16,27.877,72.123,44.673,55.327,138.36,224,0.875,bilinear,-61.483,-52.847,-9
vgg16,27.877,72.123,44.673,55.327,138.36,224,0.875,bilinear,-61.483,-52.847,-10
tf_mobilenetv3_small_100,27.297,72.703,44.420,55.580,2.54,224,0.875,bilinear,-58.663,-51.980,+3
mixer_l16_224,26.853,73.147,37.923,62.077,208.20,224,0.875,bicubic,-60.117,-56.137,+1
vgg11,26.533,73.467,43.460,56.540,132.86,224,0.875,bilinear,-60.807,-53.650,-2

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 79.650 20.350 89.393 10.607 828.41 224 0.875 bilinear -17.320 -10.277 +8 +9
3 ig_resnext101_32x32d 79.457 20.543 89.183 10.817 468.53 224 0.875 bilinear -17.323 -10.347 +15 +19
4 ig_resnext101_32x16d 78.837 21.163 88.480 11.520 194.03 224 0.875 bilinear -17.603 -11.060 +32 +37
5 tf_efficientnet_l2_ns_475 76.480 23.520 88.653 11.347 480.31 475 0.936 bicubic -21.270 -11.167 -2
6 swsl_resnext101_32x16d 76.303 23.697 87.733 12.267 194.03 224 0.875 bilinear -19.967 -11.767 +40 +46
7 ig_resnext101_32x8d 75.813 24.187 86.200 13.800 88.79 224 0.875 bilinear -20.117 -13.180 +58 +67
8 swsl_resnext101_32x8d 75.590 24.410 86.937 13.063 88.79 224 0.875 bilinear -20.650 -12.653 -12.533 +40 +46
9 tf_efficientnet_l2_ns 74.650 25.350 87.543 12.457 480.31 800 0.960 bicubic -23.130 -12.347 -7
10 swsl_resnext101_32x4d 72.660 27.340 85.157 14.843 44.18 224 0.875 bilinear -23.390 -14.373 +48 +56
11 swsl_resnext50_32x4d 68.977 31.023 82.810 17.190 25.03 224 0.875 bilinear -26.643 -16.630 +67 +79
12 swsl_resnet50 68.297 31.703 83.313 16.687 25.56 224 0.875 bilinear -26.903 -16.077 +92 +102
13 tf_efficientnet_b7_ns 67.510 32.490 81.383 18.617 66.35 600 0.949 bicubic -29.690 -18.317 -9 -8
14 vit_large_patch16_384 67.053 32.947 78.707 21.293 304.72 384 1.000 bicubic -30.367 -21.073 -10
15 swin_large_patch4_window12_384 66.283 33.717 79.783 20.217 196.74 384 1.000 bicubic -30.887 -19.897 -9
16 tf_efficientnet_b6_ns 65.587 34.413 79.553 20.447 43.04 528 0.942 bicubic -31.433 -20.157 -7
17 swin_large_patch4_window7_224 vit_large_patch16_224 63.870 64.347 36.130 35.653 78.180 76.190 21.820 23.810 196.53 304.33 224 0.900 bicubic -33.080 -32.363 -21.480 -23.460 -4 +8
18 swin_base_patch4_window12_384 vit_large_r50_s32_384 63.470 64.100 36.530 35.900 78.063 75.850 21.937 24.150 87.90 329.09 384 1.000 bicubic -33.650 -32.850 -21.717 -23.860 -11 -4
19 swin_large_patch4_window7_224 63.870 36.130 78.180 21.820 196.53 224 0.900 bicubic -33.080 -21.480 -6
20 swin_base_patch4_window12_384 63.470 36.530 78.063 21.937 87.90 384 1.000 bicubic -33.650 -21.717 -13
21 tf_efficientnet_b5_ns 63.047 36.953 77.777 22.223 30.39 456 0.934 bicubic -33.823 -21.863 -3
22 tf_efficientnet_b4_ns 61.230 38.770 76.173 23.827 19.34 380 0.922 bicubic -35.480 -23.467 +1 +2
23 tf_efficientnetv2_l_in21ft1k 60.953 39.047 75.847 24.153 118.52 480 1.000 bicubic -36.157 -23.863 -13 -15
24 swin_base_patch4_window7_224 vit_base_patch16_384 59.537 60.180 40.463 39.820 74.247 73.843 25.753 26.157 87.77 86.86 224 384 0.900 1.000 bicubic -37.143 -36.840 -25.413 -25.867 +1 -14
25 tf_efficientnetv2_m_in21ft1k swin_base_patch4_window7_224 58.647 59.537 41.353 40.463 73.983 74.247 26.017 25.753 54.14 87.77 480 224 1.000 0.900 bicubic -38.323 -37.143 -25.627 -25.413 -11 +2
26 tf_efficientnet_b8_ap tf_efficientnetv2_m_in21ft1k 57.830 58.647 42.170 41.353 72.957 73.983 27.043 26.017 87.41 54.14 672 480 0.954 1.000 bicubic -38.720 -38.323 -26.583 -25.627 +5 -14
27 cait_m48_448 vit_large_r50_s32_224 57.470 58.633 42.530 41.367 71.860 71.720 28.140 28.280 356.46 328.99 448 224 1.000 0.900 bicubic -39.410 -37.547 -27.800 -27.810 -10 +30
28 cait_m36_384 tf_efficientnet_b8_ap 57.467 57.830 42.533 42.170 72.313 72.957 27.687 27.043 271.22 87.41 384 672 1.000 0.954 bicubic -39.363 -38.720 -27.347 -26.583 -9 +4
29 tf_efficientnet_b3_ns cait_m48_448 57.417 57.470 42.583 42.530 72.387 71.860 27.613 28.140 12.23 356.46 300 448 0.904 1.000 bicubic -38.683 -39.410 -27.093 -27.760 +27 -13
30 vit_large_patch16_384 cait_m36_384 54.750 57.467 45.250 42.533 70.007 72.313 29.993 27.687 304.72 271.22 384 1.000 bicubic -41.610 -39.363 -29.623 -27.347 +14 -11
31 vit_base_r50_s16_384 tf_efficientnet_b3_ns 54.400 57.417 45.600 42.583 69.560 72.387 30.440 27.613 98.95 12.23 384 300 1.000 0.904 bicubic -42.050 -38.683 -30.100 -27.093 +7 +29
32 resnetv2_152x4_bitm vit_base_patch16_224 54.263 56.823 45.737 43.177 70.137 70.633 29.863 29.367 936.53 86.57 480 224 1.000 0.900 bilinear bicubic -42.617 -39.477 -29.483 -28.927 -16 +16
33 dm_nfnet_f6 vit_base_r50_s16_384 54.073 54.403 45.927 45.597 69.110 69.560 30.890 30.440 438.36 98.95 576 384 0.956 1.000 bicubic -42.917 -42.047 -30.630 -30.100 -21 +7
34 tf_efficientnet_b5_ap resnetv2_152x4_bitm 53.870 54.320 46.130 45.680 69.160 70.167 30.840 29.833 30.39 936.53 456 480 0.934 1.000 bicubic bilinear -42.210 -42.550 -30.380 -29.493 +23 -17
35 dm_nfnet_f5 vit_small_r26_s32_384 53.773 54.197 46.227 45.803 68.500 68.757 31.500 31.243 377.21 36.47 544 384 0.954 1.000 bicubic -42.937 -41.863 -31.180 -30.803 -13 +30
36 tf_efficientnet_b2_ns tf_efficientnet_b5_ap 53.600 53.870 46.400 46.130 70.270 69.160 29.730 30.840 9.11 30.39 260 456 0.890 0.934 bicubic -41.920 -42.210 -29.070 -30.380 +50 +25
37 tf_efficientnet_b6_ap tf_efficientnet_b2_ns 53.560 53.600 46.440 46.400 68.550 70.270 31.450 29.730 43.04 9.11 528 260 0.942 0.890 bicubic -42.810 -41.920 -30.920 -29.120 +4 +57
38 cait_s36_384 tf_efficientnet_b6_ap 53.550 53.560 46.450 46.440 68.000 68.550 32.000 31.450 68.37 43.04 384 528 1.000 0.942 bicubic -43.080 -42.810 -31.600 -31.000 -11 +6
39 tf_efficientnet_b8 cait_s36_384 53.410 53.550 46.590 46.450 69.090 68.000 30.910 32.000 87.41 68.37 672 384 0.954 1.000 bicubic -43.290 -43.080 -30.440 -31.600 -15 -10
40 tf_efficientnet_b7_ap tf_efficientnet_b8 53.260 53.410 46.740 46.590 68.873 69.090 31.127 30.910 66.35 87.41 600 672 0.949 0.954 bicubic -43.090 -43.290 -30.717 -30.440 +5 -14
41 dm_nfnet_f3 vit_base_patch32_384 53.190 53.307 46.810 46.693 68.083 68.047 31.917 31.953 254.92 88.30 416 384 0.940 1.000 bicubic -43.440 -42.593 -31.557 -31.393 -13 +34
42 tf_efficientnetv2_s_in21ft1k tf_efficientnet_b7_ap 53.150 53.260 46.850 46.740 69.000 68.873 31.000 31.127 21.46 66.35 384 600 1.000 0.949 bicubic -43.320 -43.090 -30.570 -30.717 -6 +4
43 tf_efficientnet_b4_ap tf_efficientnetv2_s_in21ft1k 53.090 53.150 46.910 46.850 68.210 69.000 31.790 31.000 19.34 21.46 380 384 0.922 1.000 bicubic -42.400 -43.320 -31.180 -30.570 +46 -7
44 tf_efficientnet_b7 tf_efficientnet_b4_ap 52.393 53.090 47.607 46.910 68.233 68.210 31.767 31.790 66.35 19.34 600 380 0.949 0.922 bicubic -44.187 -42.400 -31.277 -31.180 -15 +53
45 tf_efficientnetv2_l dm_nfnet_f5 52.377 52.870 47.623 47.130 67.237 67.430 32.763 32.570 118.52 377.21 480 544 1.000 0.954 bicubic -44.273 -43.940 -32.323 -32.240 -19 -25
46 swsl_resnet18 dm_nfnet_f6 52.327 52.447 47.673 47.553 70.480 67.120 29.520 32.880 11.69 438.36 224 576 0.875 0.956 bilinear bicubic -38.763 -44.473 -27.730 -32.600 +315 -31
47 efficientnetv2_rw_m tf_efficientnet_b7 52.323 52.393 47.677 47.607 67.210 68.233 32.790 31.767 53.24 66.35 416 600 1.000 0.949 bicubic -43.947 -44.187 -32.350 -31.277 +1 -17
48 dm_nfnet_f4 tf_efficientnetv2_l 52.260 52.377 47.740 47.623 67.120 67.237 32.880 32.763 316.07 118.52 512 480 0.951 1.000 bicubic -44.560 -44.273 -32.480 -32.323 -28 -20
49 vit_deit_base_distilled_patch16_384 swsl_resnet18 52.257 52.327 47.743 47.673 67.733 70.480 32.267 29.520 87.63 11.69 384 224 1.000 0.875 bicubic bilinear -44.253 -38.763 -31.857 -27.730 -16 +334
50 cait_s24_384 efficientnetv2_rw_m 51.783 52.323 48.217 47.677 66.313 67.210 33.687 32.790 47.06 53.24 384 416 1.000 bicubic -44.787 -43.947 -33.237 -32.350 -20 0
51 ecaresnet269d deit_base_distilled_patch16_384 51.670 52.257 48.330 47.743 66.047 67.733 33.953 32.267 102.09 87.63 352 384 1.000 bicubic -44.790 -44.253 -33.563 -31.857 -14 -16
52 vit_base_patch16_224_miil dm_nfnet_f3 51.557 52.130 48.443 47.870 65.207 66.743 34.793 33.257 86.54 254.92 224 416 0.875 0.940 bilinear bicubic -44.473 -44.600 -34.143 -32.887 +10 -29
53 pit_b_distilled_224 resnetv2_152x2_bit_teacher_384 51.153 51.937 48.847 48.063 66.770 68.670 33.230 31.330 74.79 236.34 224 384 0.900 1.000 bicubic -44.917 -44.253 -32.610 -30.830 +5 +3
54 resnetv2_152x2_bitm resmlp_big_24_224_in22ft1k 51.040 51.903 48.960 48.097 68.527 68.463 31.473 31.537 236.34 129.14 480 224 1.000 0.875 bilinear bicubic -45.460 -44.447 -31.093 -31.057 -19 -9
55 tf_efficientnet_b1_ns cait_s24_384 50.883 51.783 49.117 48.217 67.910 66.313 32.090 33.687 7.79 47.06 240 384 0.882 1.000 bicubic -43.977 -44.787 -31.340 -33.237 +72 -24
56 vit_base_patch16_384 resnetv2_152x2_bitm 50.883 51.753 49.117 48.247 65.270 69.250 34.730 30.750 86.86 236.34 384 448 1.000 bicubic bilinear -45.307 -44.767 -34.260 -30.340 -4 -22
57 vit_large_patch16_224 ecaresnet269d 50.877 51.670 49.123 48.330 66.227 66.047 33.773 33.953 304.33 102.09 224 352 0.900 1.000 bicubic -44.413 -44.790 -33.083 -33.563 +42 -19
58 tf_efficientnetv2_m vit_base_patch16_224_miil 50.557 51.557 49.443 48.443 66.010 65.207 33.990 34.793 54.14 86.54 480 224 1.000 0.875 bicubic bilinear -45.993 -44.473 -33.560 -34.143 -26 +9
59 efficientnet_b4 pit_b_distilled_224 50.510 51.153 49.490 48.847 65.703 66.770 34.297 33.230 19.34 74.79 384 224 1.000 0.900 bicubic -45.010 -44.917 -33.687 -32.610 +26 +3
60 ssl_resnext101_32x16d dm_nfnet_f4 50.257 50.900 49.743 49.100 66.033 65.557 33.967 34.443 194.03 316.07 224 512 0.875 0.951 bilinear bicubic -45.153 -45.880 -33.377 -34.063 +33 -39
61 cait_s24_224 tf_efficientnet_b1_ns 50.243 50.883 49.757 49.117 65.027 67.910 34.973 32.090 46.92 7.79 224 240 1.000 0.882 bicubic -45.407 -43.977 -34.213 -31.340 +18 +75
62 resnest269e tf_efficientnetv2_m 50.153 50.557 49.847 49.443 64.670 66.010 35.330 33.990 110.93 54.14 416 480 0.928 1.000 bicubic -45.967 -45.993 -34.850 -33.560 -8 -29
63 vit_deit_base_distilled_patch16_224 efficientnet_b4 50.063 50.510 49.937 49.490 66.227 65.703 33.773 34.297 87.34 19.34 224 384 0.900 1.000 bicubic -45.687 -45.010 -33.053 -33.637 +9 +32
64 tf_efficientnet_b3_ap resnetv2_101x3_bitm 50.057 50.407 49.943 49.593 65.210 67.790 34.790 32.210 12.23 387.93 300 448 0.904 1.000 bicubic bilinear -44.913 -45.843 -33.900 -31.800 +54 -11
65 resnest200e ssl_resnext101_32x16d 49.873 50.257 50.127 49.743 64.743 66.033 35.257 33.967 70.20 194.03 320 224 0.909 0.875 bicubic bilinear -46.197 -45.153 -34.737 -33.377 -6 +36
66 resnetv2_101x3_bitm cait_s24_224 49.823 50.243 50.177 49.757 66.917 65.027 33.083 34.973 387.93 46.92 480 224 1.000 bilinear bicubic -46.537 -45.407 -32.683 -34.363 -23 +22
67 cait_xs24_384 eca_nfnet_l2 49.527 50.237 50.473 49.763 64.900 65.450 35.100 34.550 26.67 56.72 384 1.000 bicubic -46.483 -46.213 -34.530 -34.170 -4 -28
68 tf_efficientnet_b5 vit_small_patch16_384 49.510 50.160 50.490 49.840 65.657 65.807 34.343 34.193 30.39 22.20 456 384 0.934 1.000 bicubic -46.470 -45.820 -33.793 -33.783 -3 +3
69 resnet200d resnest269e 49.470 50.153 50.530 49.847 64.330 64.670 35.670 35.330 64.69 110.93 320 416 1.000 0.928 bicubic -46.640 -45.967 -35.130 -34.850 -14 -11
70 resnest101e deit_base_distilled_patch16_224 49.367 50.063 50.633 49.937 65.587 66.227 34.413 33.773 48.28 87.34 256 224 0.875 0.900 bilinear bicubic -46.203 -45.687 -33.683 -33.203 +13 +11
71 resnet152d tf_efficientnet_b3_ap 49.253 50.057 50.747 49.943 64.413 65.210 35.587 34.790 60.21 12.23 320 300 1.000 0.904 bicubic -46.617 -44.913 -35.017 -33.900 -1 +55
72 seresnet152d resnest200e 49.247 49.873 50.753 50.127 64.170 64.743 35.830 35.257 66.84 70.20 320 1.000 0.909 bicubic -47.063 -46.197 -35.340 -34.737 -26 -9
73 cait_xs24_384 49.527 50.473 64.900 35.100 26.67 384 1.000 bicubic -46.483 -34.530 -5
74 tf_efficientnet_b5 49.510 50.490 65.657 34.343 30.39 456 0.934 bicubic -46.470 -33.793 -4
75 resnetv2_152x2_bit_teacher 49.480 50.520 65.617 34.383 236.34 224 0.875 bicubic -46.270 -33.823 +5
76 resnet200d 49.470 50.530 64.330 35.670 64.69 320 1.000 bicubic -46.640 -35.130 -17
77 resnest101e 49.367 50.633 65.587 34.413 48.28 256 0.875 bilinear -46.203 -33.683 +15
78 resnet152d 49.253 50.747 64.413 35.587 60.21 320 1.000 bicubic -46.617 -35.017 0
79 vit_base_patch32_224 49.253 50.747 64.340 35.660 88.22 224 0.900 bicubic -45.137 -34.730 +92
80 seresnet152d 49.247 50.753 64.170 35.830 66.84 320 1.000 bicubic -47.063 -35.340 -33
81 resmlp_big_24_distilled_224 49.097 50.903 65.470 34.530 129.14 224 0.875 bicubic -46.773 -33.970 -4
82 ssl_resnext101_32x8d 49.067 50.933 65.480 34.520 88.79 224 0.875 bilinear -46.273 -33.840 +25
83 repvgg_b3 48.917 51.083 64.887 35.113 123.09 224 0.875 bilinear -45.633 -34.023 +77 +80
84 resnetrs420 48.857 51.143 63.427 36.573 191.89 416 1.000 bicubic -47.543 -36.113 -35 -42
85 dm_nfnet_f2 efficientnetv2_rw_s 48.623 48.603 51.377 51.397 63.537 63.840 36.463 36.160 193.78 23.94 352 384 0.920 1.000 bicubic -47.877 -47.107 -36.033 -35.540 -42 0
86 efficientnetv2_rw_s efficientnet_b3 48.603 48.563 51.397 51.437 63.840 64.250 36.160 35.750 23.94 12.23 384 320 1.000 bicubic -47.107 -46.577 -35.540 -34.960 -1 +32
87 efficientnet_b3 ecaresnet101d 48.563 48.527 51.437 51.473 64.250 64.100 35.750 35.900 12.23 44.57 320 224 1.000 0.875 bicubic -46.577 -46.633 -34.960 -35.130 +33 +28
88 ecaresnet101d dm_nfnet_f2 48.527 48.373 51.473 51.627 64.100 63.233 35.900 36.767 44.57 193.78 224 352 0.875 0.920 bicubic -46.633 -48.087 -35.130 -36.307 +29 -51
89 repvgg_b3g4 vit_small_r26_s32_224 48.310 48.363 51.690 51.637 64.800 63.797 35.200 36.203 83.83 36.43 224 0.875 0.900 bilinear bicubic -46.180 -46.767 -34.220 -35.423 +74 +30
90 vit_large_patch32_384 repvgg_b3g4 48.250 48.310 51.750 51.690 61.830 64.800 38.170 35.200 306.63 83.83 384 224 1.000 0.875 bicubic bilinear -46.990 -46.180 -37.490 -34.220 +21 +75
91 convit_base vit_large_patch32_384 48.217 48.250 51.783 51.750 63.000 61.830 37.000 38.170 86.54 306.63 224 384 0.875 1.000 bicubic -46.883 -46.990 -36.140 -37.490 +31 +19
92 resnetrs350 convit_base 48.050 48.217 51.950 51.783 62.653 63.000 37.347 37.000 163.96 86.54 384 224 1.000 0.875 bicubic -48.190 -46.883 -36.817 -36.140 -33 +29
93 twins_svt_large resnetrs350 47.947 48.050 52.053 51.950 62.907 62.653 37.093 37.347 99.27 163.96 224 384 0.900 1.000 bicubic -47.773 -48.190 -36.463 -36.937 -9 -38
94 mixer_b16_224_miil twins_svt_large 47.790 47.947 52.210 52.053 63.400 62.907 36.600 37.093 59.88 99.27 224 0.875 0.900 bilinear bicubic -47.090 -47.773 -35.680 -36.583 +40 -11
95 repvgg_b2g4 mixer_b16_224_miil 47.787 47.790 52.213 52.210 64.390 63.400 35.610 36.600 61.76 59.88 224 0.875 bilinear -46.033 -47.090 -34.540 -35.870 +125 +39
96 eca_nfnet_l1 repvgg_b2g4 47.663 47.787 52.337 52.213 62.767 64.390 37.233 35.610 41.41 61.76 320 224 1.000 0.875 bicubic bilinear -48.267 -46.033 -36.733 -34.540 -20 +129
97 pit_s_distilled_224 eca_nfnet_l1 47.543 47.650 52.457 52.350 63.493 62.763 36.507 37.237 24.04 41.41 224 320 0.900 1.000 bicubic -47.187 -48.290 -35.697 -36.727 +45 -24
98 resnest50d_4s2x40d resnetv2_50x3_bitm 47.483 47.593 52.517 52.407 63.807 65.603 36.193 34.397 30.42 217.32 224 448 0.875 1.000 bicubic bilinear -47.227 -48.677 -35.323 -34.027 +47 -47
99 efficientnet_b3_pruned pit_s_distilled_224 47.447 47.543 52.553 52.457 62.793 63.493 37.207 36.507 9.86 24.04 300 224 0.904 0.900 bicubic -47.133 -47.187 -36.277 -35.697 +58 +43
100 vit_base_patch16_224 resnest50d_4s2x40d 47.340 47.483 52.660 52.517 61.607 63.807 38.393 36.193 86.57 30.42 224 0.900 0.875 bicubic -47.870 -47.227 -37.623 -35.323 +14 +46
101 tresnet_m efficientnet_b3_pruned 47.230 47.447 52.770 52.553 61.993 62.793 38.007 37.207 31.39 9.86 224 300 0.875 0.904 bilinear bicubic -48.150 -47.133 -37.157 -36.387 +4 +59
102 tf_efficientnet_b6 tresnet_m 47.213 47.230 52.787 52.770 63.110 61.993 36.890 38.007 43.04 31.39 528 224 0.942 0.875 bicubic bilinear -49.077 -48.150 -36.410 -37.157 -46 +3
103 ssl_resnext101_32x4d tf_efficientnet_b6 47.177 47.213 52.823 52.787 63.367 63.110 36.633 36.890 44.18 43.04 224 528 0.875 0.942 bilinear bicubic -47.983 -49.077 -35.933 -36.410 +15 -54
104 resnetrs270 ssl_resnext101_32x4d 47.107 47.177 52.893 52.823 62.010 63.367 37.990 36.633 129.86 44.18 352 224 1.000 0.875 bicubic bilinear -48.953 -47.983 -37.480 -35.933 -35 +12
105 tf_efficientnet_b4 resnetrs270 47.083 47.107 52.917 52.893 62.867 62.010 37.133 37.990 19.34 129.86 380 352 0.922 1.000 bicubic -48.507 -48.953 -36.463 -37.480 -14 -41
106 resnet101d tf_efficientnet_b4 46.893 47.083 53.107 52.917 62.317 62.867 37.683 37.133 44.57 19.34 320 380 1.000 0.922 bicubic -48.857 -48.507 -37.123 -36.463 -26 -15
107 resnetrs200 resnet101d 46.837 46.893 53.163 53.107 62.487 62.317 37.513 37.683 93.21 44.57 320 1.000 bicubic -49.153 -48.857 -36.953 -36.963 -34 -28
108 resnetv2_50x3_bitm resnetrs200 46.827 46.837 53.173 53.163 64.873 62.487 35.127 37.513 217.32 93.21 480 320 1.000 bilinear bicubic -49.313 -49.153 -34.747 -36.953 -46 -39
109 dm_nfnet_f1 gluon_seresnext101_64x4d 46.693 46.677 53.307 53.323 61.560 61.303 38.440 38.697 132.63 88.23 320 224 0.910 0.875 bicubic -49.677 -47.973 -37.990 -37.677 -58 +43
110 gluon_seresnext101_64x4d twins_pcpvt_large 46.677 46.637 53.323 53.363 61.303 62.240 38.697 37.760 88.23 60.99 224 0.875 0.900 bicubic -47.973 -49.083 -37.677 -37.050 +41 -28
111 twins_pcpvt_large dm_nfnet_f1 46.637 46.547 53.363 53.453 62.240 61.407 37.760 38.593 60.99 132.63 224 320 0.900 0.910 bicubic -49.083 -49.843 -37.250 -38.063 -28 -68
112 tresnet_xl 46.283 53.717 61.943 38.057 78.44 224 0.875 bilinear -48.777 -37.317 +13 +12
113 vit_deit_small_distilled_patch16_224 deit_small_distilled_patch16_224 46.160 53.840 62.417 37.583 22.44 224 0.900 bicubic -48.430 -36.683 +43
114 regnety_160 46.153 53.847 61.837 38.163 83.59 288 1.000 bicubic -49.727 -37.723 -36 -38
115 gernet_m 46.150 53.850 62.700 37.300 21.14 224 0.875 bilinear -48.400 -36.230 +44 +47
116 resnest50d_1s4x24d 46.083 53.917 62.377 37.623 25.68 224 0.875 bicubic -48.307 -36.693 -36.683 +53 +56
117 tf_efficientnet_b0_ns 46.047 53.953 63.253 36.747 5.29 224 0.875 bicubic -47.693 -35.727 +114 +119
118 resnet51q 46.027 53.973 60.910 39.090 35.70 288 1.000 bilinear -49.173 -38.370 -3 -5
119 vit_small_patch16_224 45.990 54.010 61.820 38.180 22.05 224 0.900 bicubic -48.890 -37.260 +14
120 resnest50d 45.937 54.063 62.623 37.377 27.48 224 0.875 bilinear -48.683 -36.407 +33
121 regnety_032 twins_pcpvt_base 45.893 54.107 61.537 61.337 38.463 38.663 19.44 43.83 288 224 1.000 0.900 bicubic -49.577 -49.567 -37.843 -38.053 -21 -23
122 twins_pcpvt_base regnety_032 45.893 54.107 61.337 61.537 38.663 38.463 43.83 19.44 224 288 0.900 1.000 bicubic -49.567 -49.577 -38.053 -37.783 -20 -23
123 levit_384 45.877 54.123 61.693 38.307 39.13 224 0.900 bicubic -49.333 -37.467 -9 -11
124 twins_svt_base 45.877 54.123 60.967 39.033 56.07 224 0.900 bicubic -49.693 -38.263 -30 -31
125 gluon_seresnext101_32x4d 45.590 54.410 61.143 38.857 48.96 224 0.875 bicubic -48.860 -37.957 -37.947 +40 +42
126 dm_nfnet_f0 45.483 54.517 60.983 39.017 71.49 256 0.900 bicubic -50.207 -38.347 -39
127 gluon_resnet152_v1d 45.430 54.570 60.077 39.923 60.21 224 0.875 bicubic -49.010 -38.933 +41
128 dm_nfnet_f0 nfnet_l0 45.420 54.580 60.990 62.080 39.010 37.920 71.49 35.07 256 288 0.900 1.000 bicubic -50.210 -49.970 -38.310 -37.340 -37 -25
129 ssl_resnext50_32x4d 45.407 54.593 62.047 37.953 25.03 224 0.875 bilinear -49.293 -37.193 +19 +18
130 nfnet_l0 resnetv2_50x1_bit_distilled 45.390 45.393 54.610 54.607 62.057 62.303 37.943 37.697 35.07 25.55 288 224 1.000 0.875 bicubic -50.000 -49.997 -37.363 -37.127 -24 -26
131 tresnet_xl_448 45.223 54.777 61.437 38.563 78.44 448 0.875 bilinear -50.287 -37.903 -32 -35
132 nasnetalarge 45.210 54.790 57.883 42.117 88.75 331 0.911 bicubic -49.940 -41.247 -11 -15
133 convit_small 45.203 54.797 60.510 39.490 27.78 224 0.875 bicubic -49.717 -38.600 0 -3
134 swin_small_patch4_window7_224 45.163 54.837 60.330 39.670 49.61 224 0.900 bicubic -50.557 -38.960 -39.040 -50
135 tf_efficientnet_b3 45.107 54.893 60.650 39.350 12.23 300 0.904 bicubic -49.803 -38.460 -1 -4
136 rexnet_200 45.047 54.953 62.317 37.683 16.37 224 0.875 bicubic -49.613 -36.833 -36.773 +16 +14
137 resnetrs152 44.943 55.057 59.713 40.287 86.62 320 1.000 bicubic -51.017 -39.667 -60 -65
138 ecaresnetlight 44.890 55.110 60.770 39.230 30.16 224 0.875 bicubic -49.250 -38.260 -38.180 +52 +54
139 vit_deit_base_patch16_224 deit_base_patch16_224 44.870 55.130 59.177 40.823 86.57 224 0.900 bicubic -50.140 -39.803 -11 -14
140 vit_deit_base_patch16_384 deit_base_patch16_384 44.777 55.223 59.617 40.383 86.86 384 1.000 bicubic -50.873 -39.773 -39.623 -51
141 cait_xxs36_384 44.773 55.227 59.380 40.620 17.37 384 1.000 bicubic -50.447 -39.940 -27 -30
142 gernet_l resmlp_36_distilled_224 44.740 44.757 55.260 55.243 58.943 61.073 41.057 38.927 31.08 44.69 256 224 0.875 bilinear bicubic -50.190 -49.813 -40.257 -38.087 -11 +19
143 tf_efficientnet_b2_ap gernet_l 44.700 44.740 55.300 55.260 60.680 58.943 39.320 41.057 9.11 31.08 260 256 0.890 0.875 bicubic bilinear -49.570 -50.190 -38.400 -40.257 +36 -15
144 vit_base_patch32_384 resmlp_24_distilled_224 44.693 44.707 55.307 55.293 58.530 61.467 41.470 38.533 88.30 30.02 384 224 1.000 0.875 bicubic -50.567 -49.623 -40.650 -37.623 -33 +34
145 ens_adv_inception_resnet_v2 tf_efficientnet_b2_ap 44.393 44.700 55.607 55.300 58.117 60.680 41.883 39.320 55.84 9.11 299 260 0.897 0.890 bicubic -49.737 -49.570 -40.673 -38.270 +46 +37
146 tresnet_l ens_adv_inception_resnet_v2 44.363 44.393 55.637 55.607 59.953 58.117 40.047 41.883 55.99 55.84 224 299 0.875 0.897 bilinear bicubic -50.537 -49.737 -39.077 -40.673 -11 +48
147 gluon_resnext101_32x4d tresnet_l 44.290 44.363 55.710 55.637 59.090 59.953 40.910 40.047 44.18 55.99 224 0.875 bicubic bilinear -49.830 -50.537 -39.840 -39.077 +47 -15
148 wide_resnet50_2 gluon_resnext101_32x4d 44.177 44.290 55.823 55.710 59.727 59.090 40.273 40.910 68.88 44.18 224 0.875 bicubic -50.493 -49.830 -39.323 -39.840 +2 +49
149 cspresnext50 wide_resnet50_2 44.147 44.177 55.853 55.823 60.533 59.727 39.467 40.273 20.57 68.88 224 0.875 bilinear bicubic -49.613 -50.493 -38.167 -39.323 +81 0
150 seresnext50_32x4d cspresnext50 44.127 44.147 55.873 55.853 59.490 60.533 40.510 39.467 27.56 20.57 224 0.875 bicubic bilinear -50.693 -49.613 -39.640 -38.307 -11 +81
151 gluon_resnet152_v1s resnetv2_101x1_bitm 44.073 44.127 55.927 55.873 58.703 61.983 41.297 38.017 60.32 44.54 224 448 0.875 1.000 bicubic bilinear -50.647 -51.193 -40.357 -37.387 -6 -43
152 pit_b_224 seresnext50_32x4d 44.070 44.127 55.930 55.873 58.017 59.490 41.983 40.510 73.76 27.56 224 0.900 0.875 bicubic -50.720 -50.693 -40.803 -39.640 -12 -15
153 gluon_resnet152_v1s 44.073 55.927 58.703 41.297 60.32 224 0.875 bicubic -50.647 -40.357 -9
154 pit_b_224 44.070 55.930 58.017 41.983 73.76 224 0.900 bicubic -50.720 -40.803 -16
155 ssl_resnet50 44.010 55.990 61.887 38.113 25.56 224 0.875 bilinear -50.300 -37.263 +24
156 inception_resnet_v2 44.003 55.997 57.907 42.093 55.84 299 0.897 bicubic -50.337 -40.893 +22 +21
157 pnasnet5large 43.950 56.050 56.730 43.270 86.06 331 0.911 bicubic -51.410 -42.400 -47 -51
158 pit_s_224 43.890 56.110 58.627 41.373 23.46 224 0.900 bicubic -50.700 -40.303 +1 -1
159 gluon_resnext101_64x4d 43.877 56.123 58.710 41.290 83.46 224 0.875 bicubic -50.473 -40.170 +18 +17
160 coat_lite_small 43.823 56.177 57.147 42.853 19.84 224 0.900 bicubic -51.257 -41.873 -33 -38
161 tnt_s_patch16_224 43.773 56.227 59.197 40.803 23.76 224 0.900 bicubic -50.807 -39.983 -39.873 +1 -2
162 cait_xxs36_224 43.760 56.240 58.720 41.280 17.30 224 1.000 bicubic -50.180 -40.170 -40.200 +49 +51
163 ecaresnet50d 43.750 56.250 60.387 39.613 25.58 224 0.875 bicubic -50.440 -38.633 +24 +25
164 ecaresnet101d_pruned 43.737 56.263 59.607 40.393 24.88 224 0.875 bicubic -50.713 -39.483 -39.493 +5 +2
165 tf_efficientnetv2_s 43.710 56.290 58.597 41.403 21.46 384 1.000 bicubic -52.000 -40.803 -75 -79
166 rexnet_150 43.690 56.310 60.897 39.103 9.73 224 0.875 bicubic -50.580 -38.053 -38.183 +16 +15
167 pit_xs_distilled_224 43.663 56.337 60.703 39.297 11.00 224 0.900 bicubic -49.577 -38.147 +111 +115
168 gluon_resnet101_v1d 43.440 56.560 58.613 41.387 44.57 224 0.875 bicubic -50.730 -40.327 +20 +21
169 ecaresnet50t 43.407 56.593 59.300 40.700 25.57 320 0.950 bicubic -51.663 -39.990 -41 -46
170 gluon_resnet101_v1s 43.363 56.637 58.503 41.497 44.67 224 0.875 bicubic -50.807 -40.507 +19 +20
171 cspdarknet53 43.357 56.643 59.430 40.570 27.64 256 0.887 bilinear -50.733 -39.550 -39.580 +26 +28
172 dpn68b 43.287 56.713 58.673 41.327 12.61 224 0.875 bicubic -50.333 -40.027 -40.277 +77 +81
173 visformer_small 43.253 56.747 57.993 42.007 40.22 224 0.900 bicubic -51.707 -41.217 -41 -46
174 eca_nfnet_l0 43.230 43.233 56.770 56.767 59.913 40.087 24.14 288 1.000 bicubic -52.240 -52.217 -39.407 -39.477 -70 -74
175 resnest26d vit_small_patch32_384 43.140 43.143 56.860 56.857 60.623 59.293 39.377 40.707 17.07 22.92 224 384 0.875 1.000 bilinear bicubic -50.100 -51.447 -38.127 -39.847 +104 -17
176 resnetv2_101x1_bitm resnest26d 43.113 43.140 56.887 56.860 60.950 60.623 39.050 39.377 44.54 17.07 480 224 1.000 0.875 bilinear -52.397 -50.100 -38.560 -38.127 -76 +107
177 twins_pcpvt_small 43.090 56.910 58.873 41.127 24.11 224 0.900 bicubic -51.510 -40.277 -19 -22
178 dpn131 resmlp_36_224 43.047 43.050 56.953 56.950 57.440 59.310 42.560 40.690 79.25 44.69 224 0.875 bicubic -50.713 -50.600 -41.420 -39.640 +55 +69
179 dpn131 43.047 56.953 57.440 42.560 79.25 224 0.875 bicubic -50.713 -41.360 +53
180 cspresnet50 43.030 56.970 59.153 40.847 21.62 256 0.887 bilinear -50.830 -39.717 +40
181 tf_efficientnet_lite4 42.967 57.033 57.620 42.380 13.01 380 0.920 bilinear -51.903 -41.470 -41 -46
182 twins_svt_small 42.923 57.077 58.453 41.547 24.06 224 0.900 bicubic -51.847 -40.627 -37 -42
183 gluon_resnet152_v1b 42.903 57.097 57.750 42.250 60.19 224 0.875 bicubic -51.127 -40.990 +20
184 dpn107 42.857 57.143 57.367 42.633 86.92 224 0.875 bicubic -51.103 -41.473 +26
185 levit_256 42.823 57.177 57.897 42.103 18.89 224 0.900 bicubic -51.577 -41.163 -12 -16
186 tf_efficientnet_b1_ap 42.803 57.197 58.813 41.187 7.79 240 0.882 bicubic -50.827 -39.987 +63 +64
187 gluon_resnet152_v1c 42.800 57.200 57.737 42.263 60.21 224 0.875 bicubic -51.080 -41.353 -41.063 +32 +30
188 gluon_xception65 42.793 57.207 58.820 41.180 39.92 299 0.903 bicubic -51.217 -40.200 +18
189 tresnet_l_448 42.753 57.247 58.947 41.053 55.99 448 0.875 bilinear -52.657 -40.353 -81 -87
190 resnet50d 42.703 42.707 57.297 57.293 58.697 41.303 25.58 224 0.875 bicubic -51.367 -51.363 -40.223 +11
191 gluon_seresnext50_32x4d 42.683 57.317 58.710 41.290 27.56 224 0.875 bicubic -51.487 -40.200 0
192 resnext101_32x8d 42.557 57.443 58.317 41.683 88.79 224 0.875 bilinear -51.213 -40.633 +38
193 seresnet50 nf_resnet50 42.510 57.490 58.667 59.520 41.333 40.480 28.09 25.56 224 288 0.875 0.940 bicubic -51.570 -51.890 -40.303 -39.550 +7 -23
194 resnetrs101 seresnet50 42.437 42.510 57.563 57.490 57.300 58.667 42.700 41.333 63.62 28.09 288 224 0.940 0.875 bicubic -52.813 -51.570 -41.910 -40.303 -79 +6
195 nf_resnet50 resnetrs101 42.400 42.437 57.600 57.563 59.540 57.300 40.460 42.700 25.56 63.62 288 0.940 bicubic -52.010 -52.813 -39.560 -41.910 -23 -86
196 tf_efficientnetv2_b3 42.313 57.687 57.940 42.060 14.36 300 0.904 bicubic -52.807 -41.260 -70 -76
197 dpn98 42.280 57.720 56.880 43.120 61.57 224 0.875 bicubic -51.660 -42.040 +16 +17
198 vit_deit_small_patch16_224 deit_small_patch16_224 42.263 57.737 58.020 41.980 22.05 224 0.900 bicubic -51.737 -40.940 +11 +10
199 tf_efficientnet_cc_b1_8e 42.233 57.767 58.420 41.580 39.72 240 0.882 bicubic -51.337 -40.270 +58 +59
200 legacy_senet154 42.207 57.793 56.597 43.403 115.09 224 0.875 bilinear -52.523 -42.503 -54 -59
201 cait_xxs24_384 42.187 57.813 57.460 42.540 12.03 384 1.000 bicubic -52.733 -41.680 -66 -72
202 tf_efficientnet_b2 42.120 57.880 58.197 41.803 9.11 260 0.890 bicubic -52.090 -40.833 -40.853 -16 -17
203 gluon_resnext50_32x4d 42.043 57.957 57.667 42.333 25.03 224 0.875 bicubic -51.607 -41.023 +43
204 resnet50 42.013 57.987 56.000 44.000 25.56 224 0.875 bicubic -51.447 -42.600 +62 +63
205 ecaresnet50d_pruned 41.953 58.047 58.217 41.783 19.94 224 0.875 bicubic -51.867 -40.783 +19
206 efficientnet_b2 41.933 58.067 58.300 41.700 9.11 288 1.000 bicubic -52.437 -40.750 -30 -32
207 dla102x2 41.647 58.353 57.967 42.033 41.28 224 0.875 bilinear -52.353 -41.063 +1 +2
208 hrnet_w64 41.637 58.363 57.130 42.870 128.06 224 0.875 bilinear -52.193 -41.800 +15
209 gluon_senet154 41.627 58.373 56.373 43.627 115.09 224 0.875 bicubic -53.083 -42.597 -60 -64
210 inception_v4 41.577 58.423 55.383 44.617 42.68 299 0.875 bicubic -52.803 -43.437 -35 -37
211 efficientnet_el 41.497 58.503 58.303 41.697 10.59 300 0.904 bicubic -53.173 -40.827 -59 -63
212 efficientnet_em 41.493 58.507 58.877 41.123 6.90 240 0.882 bicubic -52.247 -40.053 +23
213 tf_efficientnet_cc_b0_8e 41.487 58.513 57.377 42.623 24.01 224 0.875 bicubic -51.383 -41.083 +93 +97
214 swin_tiny_patch4_window7_224 41.457 58.543 57.303 42.697 28.29 224 0.900 bicubic -53.163 -41.817 -56 -60
215 resnext50_32x4d 41.443 58.557 56.997 43.003 25.03 224 0.875 bicubic -52.397 -41.833 +7
216 cait_xxs24_224 41.383 58.617 57.527 42.473 11.96 224 1.000 bicubic -52.107 -41.243 +48 +49
217 tv_resnet152 41.327 58.673 57.520 42.480 60.19 224 0.875 bilinear -51.913 -41.300 +61 +64
218 xception71 41.270 58.730 55.873 44.127 42.34 299 0.903 bicubic -52.620 -42.877 -43.127 -3
219 dpn92 41.267 58.733 56.333 43.667 37.67 224 0.875 bicubic -52.923 -42.597 -32
220 adv_inception_v3 41.263 58.737 56.317 43.683 23.83 299 0.875 bicubic -51.747 -42.173 +72 +75
221 gernet_s 41.247 58.753 58.830 41.170 8.17 224 0.875 bilinear -51.193 -39.710 -39.670 +109 +112
222 resnetblur50 41.053 58.947 57.077 42.923 25.56 224 0.875 bicubic -52.657 -41.733 -41.723 +18 +16
223 nf_regnet_b1 41.010 41.013 58.990 58.987 58.117 58.120 41.883 41.880 10.22 288 0.900 bicubic -52.880 -52.867 -40.833 -40.970 -6 -4
224 gluon_resnet50_v1d 40.970 59.030 57.137 42.863 25.58 224 0.875 bicubic -52.560 -41.573 +36 +37
225 gluon_inception_v3 40.907 59.093 55.617 44.383 23.83 299 0.875 bicubic -52.633 -43.213 +33 +34
226 ese_vovnet39b 40.867 59.133 56.947 43.053 24.57 224 0.875 bicubic -52.983 -41.953 -5
227 levit_192 40.847 59.153 56.687 43.313 10.95 224 0.900 bicubic -52.863 -42.103 -42.113 +12 +14
228 regnety_320 40.813 59.187 56.117 43.883 145.05 224 0.875 bicubic -53.707 -43.053 -61 -64
229 resnet34d 40.810 59.190 56.530 43.470 21.82 224 0.875 bicubic -51.830 -41.890 +88 +93
230 xception 40.763 59.237 56.387 43.613 22.86 299 0.897 bicubic -52.877 -42.383 +17 +18
231 skresnext50_32x4d 40.700 59.300 56.023 43.977 27.48 224 0.875 bicubic -53.250 -42.797 -20
232 gluon_resnet101_v1b 40.683 40.680 59.317 59.320 56.117 43.883 44.55 224 0.875 bicubic -53.077 -53.080 -42.723 -42.583 -1 +1
233 hrnet_w40 40.660 59.340 56.753 43.247 57.56 224 0.875 bilinear -53.050 -42.047 -42.067 +5 +9
234 repvgg_b1 resmlp_24_224 40.593 40.653 59.407 59.347 57.837 56.573 42.163 43.427 57.42 30.02 224 0.875 bilinear bicubic -52.817 -52.787 -40.953 -42.237 +37
235 tf_efficientnet_lite3 repvgg_b1 40.563 40.593 59.437 59.407 56.477 57.837 43.523 42.163 8.20 57.42 300 224 0.904 0.875 bilinear -53.567 -52.817 -42.483 -40.953 -39 +39
236 tresnet_m_448 tf_efficientnet_lite3 40.530 40.563 59.470 59.437 56.700 56.477 43.300 43.523 31.39 8.20 448 300 0.875 0.904 bilinear -54.130 -53.567 -42.390 -42.483 -82 -40
237 pit_xs_224 tresnet_m_448 40.497 40.530 59.503 59.470 56.530 56.700 43.470 43.300 10.62 31.39 224 448 0.900 0.875 bicubic bilinear -52.413 -54.130 -42.250 -42.450 +64 -86
238 dla169 pit_xs_224 40.493 40.497 59.507 59.503 57.263 56.530 42.737 43.470 53.39 10.62 224 0.875 0.900 bilinear bicubic -53.307 -52.413 -41.577 -42.250 -11 +66
239 repvgg_b2 dla169 40.467 40.493 59.533 59.507 57.780 57.263 42.220 42.737 89.02 53.39 224 0.875 bilinear -53.123 -53.307 -41.060 -41.647 +14 -11
240 regnetx_320 repvgg_b2 40.443 40.467 59.557 59.533 55.660 57.780 44.340 42.220 107.81 89.02 224 0.875 bicubic bilinear -53.767 -53.123 -43.390 -41.290 -55 +15
241 coat_mini regnetx_320 40.420 40.443 59.580 59.557 55.167 55.660 44.833 44.340 10.34 107.81 224 0.900 0.875 bicubic -54.350 -53.767 -43.783 -43.370 -97 -55
242 skresnet34 coat_mini 40.397 40.420 59.603 59.580 56.737 55.167 43.263 44.833 22.28 10.34 224 0.875 0.900 bicubic -52.173 -54.350 -41.783 -43.783 +82 -103
243 efficientnet_el_pruned skresnet34 40.390 40.397 59.610 59.603 56.903 56.737 43.097 43.263 10.59 22.28 300 224 0.904 0.875 bicubic -53.700 -52.173 -42.107 -41.783 -44 +85
244 efficientnet_b2_pruned efficientnet_el_pruned 40.383 40.390 59.617 59.610 56.537 56.903 43.463 43.097 8.31 10.59 260 300 0.890 0.904 bicubic -53.417 -53.700 -42.373 -42.077 -16 -46
245 coat_lite_mini efficientnet_b2_pruned 40.360 40.383 59.640 59.617 55.717 56.537 44.283 43.463 11.01 8.31 224 260 0.900 0.890 bicubic -53.090 -53.417 -43.063 -42.303 +22 -18
246 legacy_seresnext101_32x4d coat_lite_mini 40.360 59.640 54.817 55.717 45.183 44.283 48.96 11.01 224 0.875 0.900 bilinear bicubic -53.770 -53.090 -44.153 -42.983 -51 +23
247 wide_resnet101_2 legacy_seresnext101_32x4d 40.360 59.640 55.780 54.817 44.220 45.183 126.89 48.96 224 0.875 bilinear -53.370 -53.770 -43.030 -44.153 -10 -52
248 tf_efficientnet_b0_ap wide_resnet101_2 40.337 40.360 59.663 59.640 56.787 55.780 43.213 44.220 5.29 126.89 224 0.875 bicubic bilinear -52.273 -53.370 -41.723 -43.030 +70 -11
249 xception65 tf_efficientnet_b0_ap 40.273 40.337 59.727 59.663 55.283 56.787 44.717 43.213 39.92 5.29 299 224 0.903 0.875 bicubic -53.487 -52.273 -43.517 -41.583 -17 +75
250 regnetx_160 xception65 40.270 40.273 59.730 59.727 56.050 55.283 43.950 44.717 54.28 39.92 224 299 0.875 0.903 bicubic -53.610 -53.487 -42.750 -43.577 -32 -16
251 densenet201 regnetx_160 40.267 40.270 59.733 59.730 56.710 56.050 43.290 43.950 20.01 54.28 224 0.875 bicubic -52.423 -53.610 -41.940 -42.690 +62 -33
252 resnext50d_32x4d densenet201 40.170 40.267 59.830 59.733 55.487 56.710 44.513 43.290 25.05 20.01 224 0.875 bicubic -53.640 -52.423 -43.253 -41.940 -26 +65
253 vit_small_patch16_224 resnext50d_32x4d 40.130 40.170 59.870 59.830 56.543 55.487 43.457 44.513 48.75 25.05 224 0.900 0.875 bicubic -52.470 -53.640 -41.847 -43.253 +68 -27
254 hrnet_w48 40.093 59.907 56.640 43.360 77.47 224 0.875 bilinear -53.937 -42.400 -50
255 legacy_seresnet152 40.043 59.957 55.820 44.180 66.82 224 0.875 bilinear -53.397 -43.030 +14 +15
256 hrnet_w30 40.030 59.970 57.093 42.907 37.71 224 0.875 bilinear -53.340 -41.737 +17 +20
257 regnetx_080 40.000 60.000 55.977 44.023 39.57 224 0.875 bicubic -53.790 -42.933 -28
258 tf_efficientnet_b1 39.977 60.023 56.137 43.863 7.79 240 0.882 bicubic -53.733 -42.663 -42.673 -17 -18
259 gluon_resnet101_v1c 39.953 60.047 55.300 44.700 44.57 224 0.875 bicubic -53.737 -43.460 -16
260 tf_efficientnetv2_b0 resmlp_12_distilled_224 39.787 39.843 60.213 60.157 56.283 57.440 43.717 42.560 7.14 15.35 224 0.875 bicubic -53.273 -53.027 -42.417 -41.190 +26 +49
261 tf_efficientnetv2_b0 39.787 60.213 56.283 43.717 7.14 224 0.875 bicubic -53.273 -42.417 +28
262 res2net101_26w_4s 39.717 60.283 54.550 45.450 45.21 224 0.875 bilinear -53.803 -44.050 0
263 regnetx_120 39.687 60.313 55.633 44.367 46.11 224 0.875 bicubic -54.583 -43.557 -81 -83
264 hrnet_w44 39.677 60.323 55.333 44.667 67.06 224 0.875 bilinear -53.943 -43.627 -43.367 -12 -13
265 densenet161 vit_small_patch32_224 39.620 39.667 60.380 60.333 56.133 55.253 43.867 44.747 28.68 22.88 224 0.875 0.900 bicubic -53.280 -52.483 -42.587 -43.257 +40 +80
266 mixnet_xl densenet161 39.617 39.620 60.383 60.380 55.887 56.133 44.113 43.867 11.90 28.68 224 0.875 bicubic -54.613 -53.280 -42.933 -42.587 -81 +41
267 xception41 resmlp_big_24_224 39.610 39.620 60.390 60.380 55.037 54.817 44.963 45.183 26.97 129.14 299 224 0.903 0.875 bicubic -53.870 -54.640 -43.713 -44.003 -1 -84
268 res2net50_26w_8s mixnet_xl 39.603 39.617 60.397 60.383 54.550 55.887 45.450 44.113 48.40 11.90 224 0.875 bilinear bicubic -53.847 -54.613 -44.150 -42.933 +1 -84
269 tf_efficientnetv2_b1 xception41 39.570 39.610 60.430 60.390 55.343 55.037 44.657 44.963 8.14 26.97 240 299 0.882 0.903 bicubic -54.140 -53.870 -43.477 -43.713 -26 -3
270 dla102x res2net50_26w_8s 39.553 39.603 60.447 60.397 56.323 54.550 43.677 45.450 26.31 48.40 224 0.875 bilinear -53.977 -53.847 -42.527 -44.230 -10 -2
271 rexnet_130 tf_efficientnetv2_b1 39.487 39.570 60.513 60.430 56.640 55.343 43.360 44.657 7.56 8.14 224 240 0.875 0.882 bicubic -54.183 -54.140 -42.070 -43.447 -25 -32
272 dla102x 39.553 60.447 56.323 43.677 26.31 224 0.875 bilinear -53.977 -42.527 -12
273 rexnet_130 39.487 60.513 56.640 43.360 7.56 224 0.875 bicubic -54.183 -42.070 -28
274 hrnet_w32 39.463 60.537 56.123 43.877 41.23 224 0.875 bilinear -53.487 -42.717 +27
275 levit_128 resnetv2_50x1_bitm 39.433 39.440 60.567 60.560 55.350 57.847 44.650 42.153 9.21 25.55 224 448 0.900 1.000 bicubic bilinear -53.617 -55.290 -43.340 -41.333 +15 -132
276 regnety_064 levit_128 39.403 39.433 60.597 60.567 55.773 55.350 44.227 44.650 30.58 9.21 224 0.875 0.900 bicubic -54.737 -53.617 -43.177 -43.340 -81 +14
277 regnety_064 39.403 60.597 55.773 44.227 30.58 224 0.875 bicubic -54.737 -43.257 -84
278 densenetblur121d 39.380 60.620 56.640 43.360 8.00 224 0.875 bicubic -53.020 -41.770 +57
279 regnety_120 39.347 60.653 55.277 44.723 51.82 224 0.875 bicubic -54.663 -43.753 -68 -72
280 tv_resnet101 39.307 60.693 55.803 44.197 44.55 224 0.875 bilinear -53.573 -42.857 +29 +28
281 tf_efficientnet_el 39.303 60.697 55.387 44.613 10.59 300 0.904 bicubic -55.057 -43.713 -100 -106
282 tf_inception_v3 39.237 60.763 54.300 45.700 23.83 299 0.875 bicubic -53.963 -44.180 +3 +2
283 gluon_resnet50_v1s 39.233 60.767 55.010 44.990 25.68 224 0.875 bicubic -54.357 -43.740 -43.830 -24 -29
284 tf_efficientnetv2_b2 39.180 60.820 54.570 45.430 10.10 260 0.890 bicubic -54.890 -44.360 -78 -82
285 densenet169 39.167 60.833 55.843 44.157 14.15 224 0.875 bicubic -53.133 -42.747 +54
286 legacy_seresnet101 39.037 60.963 55.003 44.997 49.33 224 0.875 bilinear -54.223 -43.737 -7 -8
287 efficientnet_b1_pruned 39.010 60.990 55.647 44.353 6.33 240 0.882 bicubic -53.970 -42.883 +12 +11
288 repvgg_b1g4 38.990 61.010 56.350 43.650 39.97 224 0.875 bilinear -54.040 -42.360 -42.470 +5
289 inception_v3 38.960 61.040 53.853 46.147 23.83 299 0.875 bicubic -53.940 -44.477 +18 +17
290 dpn68 38.933 61.067 54.933 45.067 12.61 224 0.875 bicubic -53.307 -43.677 +52
291 regnety_080 38.917 61.083 55.213 44.787 39.18 224 0.875 bicubic -54.973 -43.787 -43.737 -71 -75
292 legacy_seresnext50_32x4d 38.877 61.123 54.593 45.407 27.56 224 0.875 bilinear -54.553 -44.207 -18 -20
293 dla102 38.833 61.167 55.323 44.677 33.27 224 0.875 bilinear -54.427 -43.457 -15 -16
294 regnety_040 38.820 61.180 55.557 44.443 20.65 224 0.875 bicubic -54.800 -43.393 -43.403 -38 -42
295 densenet121 38.783 61.217 56.273 43.727 7.98 224 0.875 bicubic -53.157 -42.007 +54 +56
296 res2net50_14w_8s 38.710 61.290 54.077 45.923 25.06 224 0.875 bilinear -54.320 -44.743 -44.633 -2 -4
297 regnetx_040 38.703 61.297 55.340 44.660 22.12 224 0.875 bicubic -54.977 -43.600 -49 -53
298 res2net50_26w_6s 38.687 61.313 53.743 46.257 37.05 224 0.875 bilinear -54.903 -45.327 -45.007 -40 -42
299 regnetx_032 38.680 61.320 55.157 44.843 15.30 224 0.875 bicubic -54.570 -43.573 -18 -19
300 selecsls60 38.623 61.377 55.630 44.370 30.67 224 0.875 bicubic -54.387 -43.200 -3 -4
301 dla60x 38.617 61.383 55.383 44.617 17.35 224 0.875 bilinear -54.573 -43.327 -15 -16
302 tf_efficientnet_b0 38.600 61.400 55.957 44.043 5.29 224 0.875 bicubic -53.800 -42.513 +34
303 dla60_res2net 38.590 61.410 54.560 45.440 20.85 224 0.875 bilinear -54.790 -44.300 -27 -28
304 selecsls60b 38.573 61.427 55.307 44.693 32.77 224 0.875 bicubic -54.927 -43.533 -37 -40
305 repvgg_a2 38.563 61.437 55.770 44.230 28.21 224 0.875 bilinear -54.117 -42.750 -42.510 +13
306 hardcorenas_f 38.500 61.500 55.657 44.343 8.20 224 0.875 bilinear -54.480 -42.963 -6 -7
307 dla60_res2next 38.450 61.550 54.950 45.050 17.03 224 0.875 bilinear -55.120 -43.850 -47 -50
308 regnetx_064 resmlp_12_224 38.430 38.443 61.570 61.557 54.990 56.327 45.010 43.673 26.21 15.35 224 0.875 bicubic -55.200 -53.677 -44.060 -42.243 -56 +39
309 tf_efficientnet_cc_b0_4e regnetx_064 38.413 38.430 61.587 61.570 55.150 54.990 44.850 45.010 13.31 26.21 224 0.875 bicubic -54.427 -55.200 -43.290 -44.060 +4 -60
310 gluon_resnet50_v1b tf_efficientnet_cc_b0_4e 38.407 38.413 61.593 61.587 54.833 55.150 45.167 44.850 25.56 13.31 224 0.875 bicubic -54.153 -54.427 -43.717 -43.290 +19 +3
311 resnetv2_50x1_bitm gluon_resnet50_v1b 38.287 38.407 61.713 61.593 56.967 54.833 43.033 45.167 25.55 25.56 480 224 1.000 0.875 bilinear bicubic -56.263 -54.153 -42.283 -43.717 -141 +18
312 hrnet_w18 38.277 61.723 55.643 44.357 21.30 224 0.875 bilinear -54.483 -43.017 +4
313 mixnet_l 38.160 61.840 54.757 45.243 7.33 224 0.875 bicubic -55.100 -43.943 -33 -34
314 hardcorenas_e 38.137 61.863 55.173 44.827 8.07 224 0.875 bilinear -54.813 -43.397 -13 -14
315 efficientnet_b1 38.087 61.913 54.010 45.990 7.79 256 1.000 bicubic -54.943 -44.690 -20 -21
316 coat_lite_tiny 38.070 61.930 53.453 46.547 5.72 224 0.900 bicubic -54.780 -45.187 -5
317 resnetrs50 gmixer_24_224 37.957 38.050 62.043 61.950 53.310 52.083 46.690 47.917 35.69 24.72 224 0.910 0.875 bicubic -56.063 -54.630 -45.540 -46.437 -108 +2
318 hardcorenas_c resnetrs50 37.883 37.957 62.117 62.043 55.717 53.310 44.283 46.690 5.52 35.69 224 0.875 0.910 bilinear bicubic -54.447 -56.063 -42.623 -45.540 +19 -113
319 gluon_resnet50_v1c hardcorenas_c 37.843 37.883 62.157 62.117 54.123 55.717 45.877 44.283 25.58 5.52 224 0.875 bicubic bilinear -55.067 -54.447 -44.587 -42.623 -15 +18
320 res2net50_26w_4s gluon_resnet50_v1c 37.827 37.843 62.173 62.157 53.073 54.123 46.927 45.877 25.70 25.58 224 0.875 bilinear bicubic -55.353 -55.067 -45.597 -44.587 -33 -17
321 efficientnet_es res2net50_26w_4s 37.770 37.827 62.230 62.173 54.967 53.073 45.033 46.927 5.44 25.70 224 0.875 bicubic bilinear -55.140 -55.353 -43.723 -45.597 -18 -35
322 resnest14d efficientnet_es 37.767 37.770 62.233 62.230 56.470 54.967 43.530 45.033 10.61 5.44 224 0.875 bilinear bicubic -53.363 -55.140 -41.860 -43.723 +54 -20
323 tv_resnext50_32x4d resnest14d 37.750 37.767 62.250 62.233 54.113 56.470 45.887 43.530 25.03 10.61 224 0.875 bilinear -55.150 -53.363 -44.697 -41.860 -17 +57
324 ecaresnet26t tv_resnext50_32x4d 37.650 37.750 62.350 62.250 54.350 54.113 45.650 45.887 16.01 25.03 320 224 0.950 0.875 bicubic bilinear -56.290 -55.150 -44.570 -44.697 -106 -19
325 ecaresnet26t 37.650 62.350 54.350 45.650 16.01 320 0.950 bicubic -56.290 -44.540 -113
326 hardcorenas_d 37.550 62.450 54.723 45.277 7.50 224 0.875 bilinear -55.050 -43.707 -1
327 res2next50 37.477 62.523 52.853 47.147 24.67 224 0.875 bilinear -55.673 -45.807 -37 -39
328 resnet34 37.443 62.557 54.297 45.703 21.80 224 0.875 bilinear -53.757 -43.943 +45 +48
329 pit_ti_distilled_224 37.337 62.663 55.137 44.863 5.10 224 0.900 bicubic -53.563 -43.083 +53 +56
330 hardcorenas_b 37.243 62.757 55.073 44.927 5.18 224 0.875 bilinear -54.697 -43.327 +21 +22
331 mobilenetv3_large_100_miil 37.210 62.790 53.513 46.487 5.48 224 0.875 bilinear -55.040 -44.737 +11 +10
332 res2net50_48w_2s 37.117 62.883 53.333 46.667 25.29 224 0.875 bilinear -55.673 -45.137 -16 -17
333 dla60 37.073 62.927 54.200 45.800 22.04 224 0.875 bilinear -55.597 -44.450 -44.430 -12 -13
334 rexnet_100 37.063 62.937 54.020 45.980 4.80 224 0.875 bicubic -55.787 -44.600 -21 -22
335 regnety_016 37.017 62.983 54.093 45.907 11.20 224 0.875 bicubic -55.983 -44.587 -36 -38
336 tf_mixnet_l 36.987 63.013 52.583 47.417 7.33 224 0.875 bicubic -56.053 -45.957 -43 -45
337 legacy_seresnet50 36.873 63.127 53.487 46.513 28.09 224 0.875 bilinear -55.797 -45.143 -45.163 -17 -16
338 tv_densenet121 36.810 63.190 54.033 45.967 7.98 224 0.875 bicubic -54.590 -44.217 +28 +31
339 tf_efficientnet_lite2 36.807 63.193 53.320 46.680 6.09 260 0.890 bicubic -55.783 -45.230 -12 -13
340 mobilenetv2_120d 36.780 63.220 54.047 45.953 5.83 224 0.875 bicubic -55.830 -44.323 -44.463 -16 -17
341 tf_efficientnet_lite1 36.737 63.263 53.590 46.410 5.42 240 0.882 bicubic -55.573 -44.900 -2 -3
342 regnetx_016 36.683 63.317 53.297 46.703 9.19 224 0.875 bicubic -55.857 -45.253 -11 -12
343 hardcorenas_a 36.640 63.360 54.910 45.090 5.26 224 0.875 bilinear -54.980 -43.260 +15 +18
344 levit_128s 36.620 63.380 53.117 46.883 7.78 224 0.900 bicubic -54.880 -45.283 +17 +20
345 efficientnet_b0 36.600 63.400 53.497 46.503 5.29 224 0.875 bicubic -55.880 -45.183 -44.943 -13
346 tf_efficientnet_em 36.380 63.620 52.840 47.160 6.90 240 0.882 bicubic -56.790 -45.830 -57 -59
347 skresnet18 36.320 63.680 54.197 45.803 11.96 224 0.875 bicubic -53.840 -43.583 +46 +49
348 repvgg_b0 36.287 63.713 54.057 45.943 15.82 224 0.875 bilinear -55.393 -44.393 -44.183 +7 +11
349 tv_resnet50 36.177 63.823 52.803 47.197 25.56 224 0.875 bilinear -55.963 -45.617 -3
350 legacy_seresnet34 36.143 63.857 52.553 47.447 21.96 224 0.875 bilinear -55.337 -45.647 +12 +15
351 coat_tiny 36.123 63.877 51.063 48.937 5.50 224 0.900 bicubic -57.387 -47.627 -84 -88
352 tv_resnet34 36.087 63.913 53.533 46.467 21.80 224 0.875 bilinear -54.203 -44.447 +40 +43
353 vit_deit_tiny_distilled_patch16_224 deit_tiny_distilled_patch16_224 36.023 63.977 54.240 45.760 5.91 224 0.900 bicubic -55.077 -44.030 +26 +28
354 mobilenetv2_140 36.000 64.000 53.943 46.057 6.11 224 0.875 bicubic -56.030 -44.307 -6 -5
355 tf_efficientnet_lite0 35.930 64.070 53.480 46.520 4.65 224 0.875 bicubic -55.370 -44.610 +13 +16
356 selecsls42b 35.813 64.187 52.487 47.513 32.46 224 0.875 bicubic -56.667 -45.953 -46.193 -23 -25
357 gluon_resnet34_v1b 35.763 35.760 64.237 64.240 52.187 47.813 21.80 224 0.875 bicubic -55.337 -55.340 -45.993 +21 +25
358 dla34 35.643 64.357 52.783 47.217 15.74 224 0.875 bilinear -55.597 -45.397 +13 +16
359 mixnet_m 35.640 64.360 52.430 47.570 5.01 224 0.875 bicubic -56.630 -45.920 -18 -19
360 efficientnet_lite0 35.620 64.380 53.657 46.343 4.65 224 0.875 bicubic -55.640 -44.593 +10 +13
361 ssl_resnet18 35.597 64.403 53.740 46.260 11.69 224 0.875 bilinear -55.103 -44.280 +24 +27
362 mobilenetv3_rw 35.547 64.453 53.713 46.287 5.48 224 0.875 bicubic -56.003 -44.557 -2 +1
363 efficientnet_es_pruned 35.390 64.610 52.850 47.150 5.44 224 0.875 bicubic -56.310 -45.570 -9 -6
364 mobilenetv2_110d 35.293 64.707 52.830 47.170 4.52 224 0.875 bicubic -56.057 -45.360 +3 +6
365 tf_mixnet_m 35.180 64.820 50.987 49.013 5.01 224 0.875 bicubic -57.020 -47.433 -20 -21
366 hrnet_w18_small_v2 35.173 64.827 52.440 47.560 15.60 224 0.875 bilinear -55.997 -45.900 +9 +12
367 resnet18d 35.127 64.873 52.890 47.110 11.71 224 0.875 bicubic -54.863 -44.940 +27 +30
368 convit_tiny 35.047 64.953 51.787 48.213 5.71 224 0.875 bicubic -55.483 -46.423 +20 +23
369 ese_vovnet19b_dw 34.840 65.160 52.030 47.970 6.54 224 0.875 bicubic -57.170 -46.480 -20 -19
370 regnety_008 34.807 65.193 51.743 48.257 6.26 224 0.875 bicubic -57.093 -46.677 -18 -16
371 pit_ti_224 34.670 65.330 52.170 47.830 4.85 224 0.900 bicubic -55.750 -45.840 +19 +22
372 mobilenetv3_large_100 34.603 65.397 52.860 47.140 5.48 224 0.875 bicubic -56.877 -45.460 -9 -6
373 seresnext26d_32x4d 34.543 65.457 51.543 48.457 16.81 224 0.875 bicubic -57.897 -46.957 -46.997 -39
374 seresnext26t_32x4d 34.540 65.460 51.377 48.623 16.81 224 0.875 bicubic -58.280 -47.183 -59 -60
375 mixer_b16_224 34.423 65.577 48.093 51.907 59.88 224 0.875 bicubic -56.717 -49.307 +1 +4
376 resnet26d 34.273 65.727 51.687 48.313 16.01 224 0.875 bicubic -57.957 -46.763 -32 -33
377 tf_efficientnet_es 34.263 65.737 51.350 48.650 5.44 224 0.875 bicubic -57.837 -47.090 -30 -29
378 fbnetc_100 34.253 65.747 51.180 48.820 5.57 224 0.875 bilinear -57.017 -46.650 -9 -6
379 regnety_006 34.150 65.850 51.277 48.723 6.06 224 0.875 bicubic -57.420 -47.153 -20 -17
380 tf_mobilenetv3_large_100 33.950 66.050 51.490 48.510 5.48 224 0.875 bilinear -57.470 -46.770 -15 -12
381 regnetx_008 33.770 66.230 50.547 49.453 7.26 224 0.875 bicubic -57.410 -47.833 -7 -4
382 mnasnet_100 33.763 66.237 51.170 48.830 4.38 224 0.875 bicubic -57.437 -46.880 -10 -7
383 semnasnet_100 vit_tiny_r_s16_p8_384 33.520 33.650 66.480 66.350 50.787 50.683 49.213 49.317 3.89 6.36 224 384 0.875 1.000 bicubic -58.140 -58.080 -47.483 -47.747 -26 -27
384 resnet26 vit_tiny_patch16_384 33.500 33.550 66.500 66.450 50.927 51.077 49.073 48.923 16.00 5.79 224 384 0.875 1.000 bicubic -57.940 -59.870 -47.353 -47.753 -20 -111
385 semnasnet_100 33.520 66.480 50.787 49.213 3.89 224 0.875 bicubic -58.140 -47.483 -25
386 resnet26 33.500 66.500 50.927 49.073 16.00 224 0.875 bicubic -57.940 -47.353 -19
387 mixnet_s 33.480 66.520 50.997 49.003 4.13 224 0.875 bicubic -58.300 -47.303 -32
388 spnasnet_100 33.477 66.523 51.267 48.733 4.42 224 0.875 bilinear -57.133 -46.683 0 +1
389 vgg19_bn 33.230 66.770 50.803 49.197 143.68 224 0.875 bilinear -57.760 -57.770 -47.307 -6 -5
390 ghostnet_100 33.207 66.793 51.163 48.837 5.18 224 0.875 bilinear -57.233 -46.667 +1 +2
391 regnetx_006 33.157 66.843 50.250 49.750 6.20 224 0.875 bicubic -57.603 -47.850 -5 -4
392 resnet18 33.067 66.933 51.170 48.830 11.69 224 0.875 bilinear -55.083 -45.950 +17 +19
393 legacy_seresnext26_32x4d 32.757 67.243 49.237 50.763 16.79 224 0.875 bicubic -59.813 -49.183 -63 -66
394 deit_tiny_patch16_224 32.667 67.333 50.273 49.727 5.72 224 0.900 bicubic -56.953 -47.687 +7
395 hrnet_w18_small 32.667 67.333 50.587 49.413 13.19 224 0.875 bilinear -57.213 -47.313 +3
396 vit_deit_tiny_patch16_224 legacy_seresnet18 32.667 32.600 67.333 67.400 50.273 50.340 49.727 49.660 5.72 11.78 224 0.900 0.875 bicubic -56.953 -56.670 -47.687 -47.340 +5 +9
397 legacy_seresnet18 mobilenetv2_100 32.600 32.523 67.400 67.477 50.340 50.800 49.660 49.200 11.78 3.50 224 0.875 bicubic -56.670 -57.307 -47.340 -47.030 +7 +2
398 mobilenetv2_100 regnetx_004 32.523 32.517 67.477 67.483 50.800 49.343 49.200 50.657 3.50 5.16 224 0.875 bicubic -57.307 -56.943 -47.030 -48.427 +1 +4
399 regnetx_004 gluon_resnet18_v1b 32.517 32.407 67.483 67.593 49.343 49.727 50.657 50.273 5.16 11.69 224 0.875 bicubic -56.943 -56.253 -48.427 -47.373 +3 +9
400 gluon_resnet18_v1b regnety_004 32.407 32.333 67.593 67.667 49.727 49.453 50.273 50.547 11.69 4.34 224 0.875 bicubic -56.253 -58.447 -47.373 -48.627 +7 -14
401 regnety_004 tf_mixnet_s 32.333 32.183 67.667 67.817 49.453 48.493 50.547 51.507 4.34 4.13 224 0.875 bicubic -58.447 -59.497 -48.627 -49.957 -15 -43
402 tf_mixnet_s vit_tiny_patch16_224 32.183 32.023 67.817 67.977 48.493 49.017 51.507 50.983 4.13 5.72 224 0.875 0.900 bicubic -59.497 -59.907 -49.747 -49.323 -43 -49
403 tf_mobilenetv3_large_075 31.867 68.133 49.110 50.890 3.99 224 0.875 bilinear -58.453 -48.760 -9
404 tf_mobilenetv3_large_minimal_100 31.597 68.403 49.337 50.663 3.92 224 0.875 bilinear -57.583 -47.983 +2 +3
405 vgg16_bn vit_tiny_r_s16_p8_224 30.357 30.807 69.643 69.193 47.260 47.657 52.740 52.343 138.37 6.34 224 0.875 0.900 bilinear bicubic -60.183 -58.533 -50.730 -50.043 -15 -1
406 vgg16_bn 30.357 69.643 47.260 52.740 138.37 224 0.875 bilinear -60.183 -50.730 -16
407 regnety_002 29.687 70.313 46.787 53.213 3.16 224 0.875 bicubic -58.513 -50.643 +3
408 vgg13_bn 28.883 71.117 46.737 53.263 133.05 224 0.875 bilinear -60.317 -50.793 -2
409 regnetx_002 28.860 71.140 45.420 54.580 2.68 224 0.875 bicubic -58.520 -51.570 +4
410 vgg19 28.580 71.420 45.170 54.830 143.67 224 0.875 bilinear -61.100 -52.380 -9 -10
411 dla60x_c 28.447 71.553 46.193 53.807 1.32 224 0.875 bilinear -58.663 -50.947 +4
412 vgg11_bn 28.423 71.577 46.453 53.547 132.87 224 0.875 bilinear -59.967 -50.817 -3
413 vgg16 27.877 72.123 44.673 55.327 138.36 224 0.875 bilinear -61.483 -52.847 -9 -10
414 tf_mobilenetv3_small_100 27.297 72.703 44.420 55.580 2.54 224 0.875 bilinear -58.663 -51.980 +3
415 mixer_l16_224 26.853 73.147 37.923 62.077 208.20 224 0.875 bicubic -60.117 -56.137 +1
416 vgg11 26.533 73.467 43.460 56.540 132.86 224 0.875 bilinear -60.807 -53.650 -2

@ -1,231 +1,250 @@
model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation,top1_diff,top5_diff,rank_diff
tf_efficientnet_l2_ns,90.563,9.437,98.779,1.221,480.31,800,0.960,bicubic,+2.211,+0.129,0
tf_efficientnet_l2_ns_475,90.537,9.463,98.710,1.290,480.31,475,0.936,bicubic,+2.303,+0.164,0
cait_m48_448,90.196,9.804,98.484,1.516,356.46,448,1.000,bicubic,+3.712,+0.730,+2
cait_m48_448,90.196,9.804,98.484,1.516,356.46,448,1.000,bicubic,+3.712,+0.730,+3
vit_large_patch16_384,90.196,9.804,98.661,1.339,304.72,384,1.000,bicubic,+3.116,+0.361,0
tf_efficientnet_b7_ns,90.100,9.900,98.614,1.386,66.35,600,0.949,bicubic,+3.260,+0.520,0
cait_m36_384,90.046,9.954,98.493,1.507,271.22,384,1.000,bicubic,+3.992,+0.763,+7
swin_large_patch4_window12_384,90.027,9.973,98.657,1.343,196.74,384,1.000,bicubic,+2.879,+0.423,-3
tf_efficientnetv2_l_in21ft1k,90.008,9.992,98.619,1.381,118.52,480,1.000,bicubic,+3.704,+0.641,+2
swin_base_patch4_window12_384,89.995,10.005,98.695,1.304,87.90,384,1.000,bicubic,+3.563,+0.637,-1
dm_nfnet_f6,89.901,10.099,98.529,1.471,438.36,576,0.956,bicubic,+3.605,+0.785,+1
cait_s36_384,89.844,10.156,98.427,1.573,68.37,384,1.000,bicubic,+4.384,+0.947,+8
swin_large_patch4_window7_224,89.796,10.204,98.640,1.360,196.53,224,0.900,bicubic,+3.477,+0.744,-3
tf_efficientnet_b6_ns,89.782,10.218,98.510,1.490,43.04,528,0.942,bicubic,+3.330,+0.628,-6
tf_efficientnetv2_m_in21ft1k,89.775,10.225,98.503,1.497,54.14,480,1.000,bicubic,+4.187,+0.751,+2
tf_efficientnet_b5_ns,89.651,10.349,98.482,1.518,30.39,456,0.934,bicubic,+3.563,+0.730,-3
tf_efficientnet_b8_ap,89.581,10.419,98.305,1.695,87.41,672,0.954,bicubic,+4.211,+1.011,+7
cait_m36_384,90.046,9.954,98.493,1.507,271.22,384,1.000,bicubic,+3.992,+0.763,+8
dm_nfnet_f6,90.046,9.954,98.546,1.454,438.36,576,0.956,bicubic,+3.902,+0.816,+5
swin_large_patch4_window12_384,90.027,9.973,98.657,1.343,196.74,384,1.000,bicubic,+2.879,+0.423,-5
tf_efficientnetv2_l_in21ft1k,90.008,9.992,98.619,1.381,118.52,480,1.000,bicubic,+3.704,+0.641,+1
swin_base_patch4_window12_384,89.995,10.005,98.695,1.304,87.90,384,1.000,bicubic,+3.563,+0.637,-2
vit_base_patch16_384,89.989,10.011,98.678,1.322,86.86,384,1.000,bicubic,+3.983,+0.678,+4
cait_s36_384,89.844,10.156,98.427,1.573,68.37,384,1.000,bicubic,+4.384,+0.947,+10
swin_large_patch4_window7_224,89.796,10.204,98.640,1.360,196.53,224,0.900,bicubic,+3.477,+0.744,-4
vit_large_r50_s32_384,89.794,10.206,98.514,1.486,329.09,384,1.000,bicubic,+3.610,+0.596,-3
tf_efficientnet_b6_ns,89.782,10.218,98.510,1.490,43.04,528,0.942,bicubic,+3.330,+0.628,-8
tf_efficientnetv2_m_in21ft1k,89.775,10.225,98.503,1.497,54.14,480,1.000,bicubic,+4.187,+0.751,+3
tf_efficientnet_b5_ns,89.651,10.349,98.482,1.518,30.39,456,0.934,bicubic,+3.563,+0.730,-4
tf_efficientnet_b8_ap,89.581,10.419,98.305,1.695,87.41,672,0.954,bicubic,+4.211,+1.011,+8
dm_nfnet_f4,89.557,10.443,98.303,1.697,316.07,512,0.951,bicubic,+3.843,+0.783,-1
cait_s24_384,89.502,10.498,98.362,1.638,47.06,384,1.000,bicubic,+4.456,+1.016,+12
tf_efficientnet_b7_ap,89.429,10.571,98.347,1.653,66.35,600,0.949,bicubic,+4.309,+1.096,+9
vit_deit_base_distilled_patch16_384,89.429,10.571,98.441,1.559,87.63,384,1.000,bicubic,+4.007,+1.109,+2
dm_nfnet_f3,89.393,10.607,98.315,1.685,254.92,416,0.940,bicubic,+3.833,+0.909,-3
tf_efficientnetv2_l,89.367,10.633,98.275,1.725,118.52,480,1.000,bicubic,+3.877,+0.903,-3
tf_efficientnet_b8,89.355,10.645,98.303,1.697,87.41,672,0.954,bicubic,+3.985,+0.913,0
tf_efficientnet_b6_ap,89.342,10.658,98.281,1.719,43.04,528,0.942,bicubic,+4.554,+1.143,+15
tf_efficientnet_b4_ns,89.305,10.694,98.347,1.653,19.34,380,0.922,bicubic,+4.143,+0.877,+1
dm_nfnet_f4,89.299,10.701,98.224,1.776,316.07,512,0.951,bicubic,+3.641,+0.714,-10
tf_efficientnetv2_m,89.284,10.716,98.236,1.764,54.14,480,1.000,bicubic,+4.240,+0.958,+4
dm_nfnet_f5,89.184,10.816,98.232,1.768,377.21,544,0.954,bicubic,+3.470,+0.790,-13
dm_nfnet_f3,89.485,10.515,98.399,1.601,254.92,416,0.940,bicubic,+3.963,+0.937,-1
dm_nfnet_f5,89.461,10.539,98.324,1.676,377.21,544,0.954,bicubic,+3.647,+0.836,-5
deit_base_distilled_patch16_384,89.429,10.571,98.441,1.559,87.63,384,1.000,bicubic,+4.007,+1.109,+1
tf_efficientnet_b7_ap,89.429,10.571,98.347,1.653,66.35,600,0.949,bicubic,+4.309,+1.096,+5
tf_efficientnetv2_l,89.367,10.633,98.275,1.725,118.52,480,1.000,bicubic,+3.877,+0.903,-4
tf_efficientnet_b8,89.355,10.645,98.303,1.697,87.41,672,0.954,bicubic,+3.985,+0.913,-1
tf_efficientnet_b6_ap,89.342,10.658,98.281,1.719,43.04,528,0.942,bicubic,+4.554,+1.143,+13
vit_large_patch16_224,89.314,10.686,98.392,1.608,304.33,224,0.900,bicubic,+3.472,+0.568,-12
tf_efficientnet_b4_ns,89.305,10.694,98.347,1.653,19.34,380,0.922,bicubic,+4.143,+0.877,-1
tf_efficientnetv2_m,89.284,10.716,98.236,1.764,54.14,480,1.000,bicubic,+4.240,+0.958,+3
swin_base_patch4_window7_224,89.145,10.855,98.429,1.571,87.77,224,0.900,bicubic,+3.893,+0.867,-4
cait_xs24_384,89.139,10.861,98.290,1.710,26.67,384,1.000,bicubic,+5.077,+1.402,+26
ig_resnext101_32x48d,89.120,10.880,98.130,1.870,828.41,224,0.875,bilinear,+3.692,+0.558,-10
ig_resnext101_32x32d,89.111,10.889,98.181,1.819,468.53,224,0.875,bilinear,+4.017,+0.743,-3
tf_efficientnet_b7,89.086,10.914,98.183,1.817,66.35,600,0.949,bicubic,+4.150,+0.979,+3
ecaresnet269d,89.069,10.931,98.234,1.766,102.09,352,1.000,bicubic,+4.093,+1.008,0
efficientnetv2_rw_m,88.987,11.013,98.213,1.787,53.24,416,1.000,bicubic,+4.179,+1.065,+3
eca_nfnet_l2,89.141,10.859,98.315,1.685,56.72,384,1.000,bicubic,+4.443,+1.051,+10
cait_xs24_384,89.139,10.861,98.290,1.710,26.67,384,1.000,bicubic,+5.077,+1.402,+27
ig_resnext101_32x48d,89.120,10.880,98.130,1.870,828.41,224,0.875,bilinear,+3.692,+0.558,-11
ig_resnext101_32x32d,89.111,10.889,98.181,1.819,468.53,224,0.875,bilinear,+4.017,+0.743,-5
tf_efficientnet_b7,89.086,10.914,98.183,1.817,66.35,600,0.949,bicubic,+4.150,+0.979,+1
ecaresnet269d,89.069,10.931,98.234,1.766,102.09,352,1.000,bicubic,+4.093,+1.008,-2
resmlp_big_24_224_in22ft1k,89.011,10.989,98.215,1.785,129.14,224,0.875,bicubic,+4.617,+1.095,+12
dm_nfnet_f2,89.009,10.991,98.189,1.810,193.78,352,0.920,bicubic,+3.945,+0.950,-8
efficientnetv2_rw_m,88.987,11.013,98.213,1.787,53.24,416,1.000,bicubic,+4.179,+1.065,-1
tf_efficientnet_b5_ap,88.938,11.062,98.164,1.836,30.39,456,0.934,bicubic,+4.686,+1.190,+14
tf_efficientnetv2_s_in21ft1k,88.904,11.096,98.277,1.723,21.46,384,1.000,bicubic,+4.602,+1.025,+10
dm_nfnet_f2,88.889,11.111,98.117,1.883,193.78,352,0.920,bicubic,+3.899,+0.973,-5
dm_nfnet_f1,88.853,11.147,98.093,1.907,132.63,320,0.910,bicubic,+4.249,+1.025,+2
resnetrs420,88.840,11.160,98.034,1.966,191.89,416,1.000,bicubic,+3.832,+0.910,-8
ig_resnext101_32x16d,88.834,11.166,98.049,1.951,194.03,224,0.875,bilinear,+4.664,+0.853,+11
resnetrs270,88.834,11.166,98.136,1.864,129.86,352,1.000,bicubic,+4.400,+1.166,+2
vit_base_r50_s16_384,88.808,11.192,98.232,1.768,98.95,384,1.000,bicubic,+3.836,+0.944,-8
seresnet152d,88.795,11.205,98.172,1.828,66.84,320,1.000,bicubic,+4.433,+1.132,+2
swsl_resnext101_32x8d,88.770,11.230,98.147,1.853,88.79,224,0.875,bilinear,+4.486,+0.971,+3
tf_efficientnet_b6,88.761,11.239,98.064,1.937,43.04,528,0.942,bicubic,+4.651,+1.178,+8
resnetrs350,88.759,11.241,98.029,1.971,163.96,384,1.000,bicubic,+4.039,+1.041,-7
vit_base_patch16_224_miil,88.737,11.262,98.027,1.973,86.54,224,0.875,bilinear,+4.469,+1.225,+1
resnetv2_152x2_bitm,88.699,11.301,98.337,1.663,236.34,480,1.000,bilinear,+4.259,+0.891,-6
regnety_160,88.697,11.303,98.068,1.932,83.59,288,1.000,bicubic,+5.011,+1.292,+16
pit_b_distilled_224,88.676,11.324,98.093,1.907,74.79,224,0.900,bicubic,+4.532,+1.237,+2
resnetrs200,88.605,11.395,98.034,1.966,93.21,320,1.000,bicubic,+4.539,+1.160,+3
eca_nfnet_l1,88.575,11.425,98.130,1.870,41.41,320,1.000,bicubic,+4.567,+1.102,+5
resnetv2_152x4_bitm,88.565,11.435,98.185,1.815,936.53,480,1.000,bilinear,+3.633,+0.749,-17
resnet200d,88.543,11.457,97.959,2.041,64.69,320,1.000,bicubic,+4.581,+1.135,+4
resnest269e,88.522,11.478,98.027,1.973,110.93,416,0.928,bicubic,+4.004,+1.041,-14
resnetv2_101x3_bitm,88.492,11.508,98.162,1.838,387.93,480,1.000,bilinear,+4.098,+0.800,-12
efficientnetv2_rw_s,88.473,11.527,97.974,2.026,23.94,384,1.000,bicubic,+4.665,+1.250,+5
cait_s24_224,88.447,11.553,97.957,2.043,46.92,224,1.000,bicubic,+4.995,+1.393,+10
resnest200e,88.432,11.568,98.042,1.958,70.20,320,0.909,bicubic,+4.600,+1.148,+1
tf_efficientnet_b3_ns,88.426,11.574,98.029,1.971,12.23,300,0.904,bicubic,+4.378,+1.119,-4
vit_large_patch16_384,88.407,11.593,98.187,1.813,304.72,384,1.000,bicubic,+3.249,+0.831,-35
tf_efficientnetv2_s,88.402,11.598,97.927,2.073,21.46,384,1.000,bicubic,+4.508,+1.229,-3
vit_base_patch16_384,88.389,11.611,98.155,1.845,86.86,384,1.000,bicubic,+4.180,+0.937,-13
dm_nfnet_f1,88.925,11.075,98.115,1.885,132.63,320,0.910,bicubic,+4.299,+1.015,+1
tf_efficientnetv2_s_in21ft1k,88.904,11.096,98.277,1.723,21.46,384,1.000,bicubic,+4.602,+1.025,+9
vit_base_patch16_224,88.866,11.134,98.230,1.770,86.57,224,0.900,bicubic,+4.334,+0.936,0
resnetrs420,88.840,11.160,98.034,1.966,191.89,416,1.000,bicubic,+3.832,+0.910,-11
ig_resnext101_32x16d,88.834,11.166,98.049,1.951,194.03,224,0.875,bilinear,+4.664,+0.853,+10
resnetrs270,88.834,11.166,98.136,1.864,129.86,352,1.000,bicubic,+4.400,+1.166,+1
vit_small_r26_s32_384,88.819,11.181,98.337,1.663,36.47,384,1.000,bicubic,+4.773,+1.009,+14
vit_base_r50_s16_384,88.808,11.192,98.232,1.768,98.95,384,1.000,bicubic,+3.836,+0.944,-13
seresnet152d,88.795,11.205,98.172,1.828,66.84,320,1.000,bicubic,+4.433,+1.132,+1
swsl_resnext101_32x8d,88.770,11.230,98.147,1.853,88.79,224,0.875,bilinear,+4.486,+0.971,+2
tf_efficientnet_b6,88.761,11.239,98.064,1.937,43.04,528,0.942,bicubic,+4.651,+1.178,+6
resnetrs350,88.759,11.241,98.029,1.971,163.96,384,1.000,bicubic,+4.039,+1.041,-12
vit_base_patch16_224_miil,88.737,11.262,98.027,1.973,86.54,224,0.875,bilinear,+4.469,+1.225,0
resnetv2_152x2_bitm,88.725,11.275,98.307,1.693,236.34,448,1.000,bilinear,+4.215,+0.875,-9
regnety_160,88.697,11.303,98.068,1.932,83.59,288,1.000,bicubic,+5.011,+1.292,+17
pit_b_distilled_224,88.676,11.324,98.093,1.907,74.79,224,0.900,bicubic,+4.532,+1.237,0
vit_small_patch16_384,88.652,11.348,98.232,1.768,22.20,384,1.000,bicubic,+4.850,+1.130,+13
eca_nfnet_l1,88.624,11.376,98.132,1.868,41.41,320,1.000,bicubic,+4.614,+1.104,+5
resnetrs200,88.605,11.395,98.034,1.966,93.21,320,1.000,bicubic,+4.539,+1.160,-1
resnetv2_152x4_bitm,88.545,11.455,98.192,1.808,936.53,480,1.000,bilinear,+3.629,+0.750,-23
resnet200d,88.543,11.457,97.959,2.041,64.69,320,1.000,bicubic,+4.581,+1.135,+3
resnest269e,88.522,11.478,98.027,1.973,110.93,416,0.928,bicubic,+4.004,+1.041,-18
efficientnetv2_rw_s,88.473,11.527,97.974,2.026,23.94,384,1.000,bicubic,+4.665,+1.250,+6
resnetv2_101x3_bitm,88.464,11.536,98.157,1.843,387.93,448,1.000,bilinear,+4.024,+0.775,-18
cait_s24_224,88.447,11.553,97.957,2.043,46.92,224,1.000,bicubic,+4.995,+1.393,+11
resnetv2_50x3_bitm,88.443,11.557,98.200,1.800,217.32,448,1.000,bilinear,+4.429,+1.076,-5
resmlp_big_24_distilled_224,88.443,11.557,97.940,2.060,129.14,224,0.875,bicubic,+4.853,+1.292,+9
resnest200e,88.432,11.568,98.042,1.958,70.20,320,0.909,bicubic,+4.600,+1.148,-1
tf_efficientnet_b3_ns,88.426,11.574,98.029,1.971,12.23,300,0.904,bicubic,+4.378,+1.119,-9
vit_large_r50_s32_224,88.426,11.574,98.085,1.915,328.99,224,0.900,bicubic,+3.992,+0.921,-22
tf_efficientnetv2_s,88.402,11.598,97.927,2.073,21.46,384,1.000,bicubic,+4.508,+1.229,-6
efficientnet_b4,88.372,11.628,97.961,2.039,19.34,384,1.000,bicubic,+4.944,+1.365,+5
resnet152d,88.355,11.645,97.935,2.065,60.21,320,1.000,bicubic,+4.675,+1.197,+1
resnetv2_50x3_bitm,88.349,11.651,98.108,1.892,217.32,480,1.000,bilinear,+4.565,+1.002,-3
tf_efficientnet_b4_ap,88.349,11.651,97.893,2.107,19.34,380,0.922,bicubic,+5.101,+1.501,+6
resnet152d,88.355,11.645,97.935,2.065,60.21,320,1.000,bicubic,+4.675,+1.197,0
tf_efficientnet_b4_ap,88.349,11.651,97.893,2.107,19.34,380,0.922,bicubic,+5.101,+1.501,+8
tf_efficientnet_b5,88.321,11.679,97.912,2.088,30.39,456,0.934,bicubic,+4.509,+1.164,-7
resnetrs152,88.251,11.749,97.737,2.263,86.62,320,1.000,bicubic,+4.539,+1.123,-5
vit_deit_base_distilled_patch16_224,88.214,11.786,97.914,2.086,87.34,224,0.900,bicubic,+4.826,+1.426,0
ig_resnext101_32x8d,88.146,11.854,97.856,2.144,88.79,224,0.875,bilinear,+5.458,+1.220,+18
cait_xxs36_384,88.140,11.860,97.908,2.092,17.37,384,1.000,bicubic,+5.946,+1.760,+32
dm_nfnet_f0,88.112,11.888,97.837,2.163,71.49,256,0.900,bicubic,+4.770,+1.277,-1
swsl_resnext101_32x4d,88.099,11.901,97.967,2.033,44.18,224,0.875,bilinear,+4.869,+1.207,0
tf_efficientnet_b4,87.963,12.037,97.739,2.261,19.34,380,0.922,bicubic,+4.941,+1.439,+8
nfnet_l0,87.948,12.052,97.850,2.150,35.07,288,1.000,bicubic,+5.188,+1.352,+10
eca_nfnet_l0,87.943,12.057,97.861,2.139,24.14,288,1.000,bicubic,+5.355,+1.387,+14
deit_base_distilled_patch16_224,88.214,11.786,97.914,2.086,87.34,224,0.900,bicubic,+4.826,+1.426,+1
resnetv2_152x2_bit_teacher_384,88.150,11.850,98.051,1.949,236.34,384,1.000,bicubic,+4.306,+0.933,-12
ig_resnext101_32x8d,88.146,11.854,97.856,2.144,88.79,224,0.875,bilinear,+5.458,+1.220,+20
cait_xxs36_384,88.140,11.860,97.908,2.092,17.37,384,1.000,bicubic,+5.946,+1.760,+34
dm_nfnet_f0,88.125,11.875,97.854,2.146,71.49,256,0.900,bicubic,+4.739,+1.282,-2
swsl_resnext101_32x4d,88.099,11.901,97.967,2.033,44.18,224,0.875,bilinear,+4.869,+1.207,+1
eca_nfnet_l0,87.980,12.020,97.871,2.129,24.14,288,1.000,bicubic,+5.400,+1.381,+19
nfnet_l0,87.967,12.033,97.867,2.133,35.07,288,1.000,bicubic,+5.217,+1.351,+12
tf_efficientnet_b4,87.963,12.037,97.739,2.261,19.34,380,0.922,bicubic,+4.941,+1.439,+6
resnet101d,87.941,12.059,97.908,2.092,44.57,320,1.000,bicubic,+4.919,+1.462,+4
regnety_032,87.937,12.063,97.891,2.109,19.44,288,1.000,bicubic,+5.213,+1.467,+8
twins_svt_large,87.901,12.099,97.581,2.419,99.27,224,0.900,bicubic,+4.223,+0.987,-13
regnety_032,87.937,12.063,97.891,2.109,19.44,288,1.000,bicubic,+5.213,+1.467,+10
vit_base_patch32_384,87.909,12.091,98.012,1.988,88.30,384,1.000,bicubic,+4.559,+1.176,-8
twins_svt_large,87.901,12.099,97.581,2.419,99.27,224,0.900,bicubic,+4.223,+0.987,-15
twins_pcpvt_large,87.877,12.123,97.856,2.144,60.99,224,0.900,bicubic,+4.737,+1.258,-5
vit_deit_base_patch16_384,87.845,12.155,97.510,2.490,86.86,384,1.000,bicubic,+4.739,+1.138,-4
tresnet_xl_448,87.796,12.204,97.459,2.541,78.44,448,0.875,bilinear,+4.746,+1.285,-2
tresnet_m,87.736,12.264,97.523,2.477,31.39,224,0.875,bilinear,+4.656,+1.405,-5
deit_base_patch16_384,87.845,12.155,97.510,2.490,86.86,384,1.000,bicubic,+4.739,+1.138,-4
tresnet_xl_448,87.796,12.204,97.459,2.541,78.44,448,0.875,bilinear,+4.746,+1.285,-3
resnetv2_50x1_bit_distilled,87.787,12.213,97.899,2.101,25.55,224,0.875,bicubic,+4.969,+1.377,+1
tresnet_m,87.736,12.264,97.523,2.477,31.39,224,0.875,bilinear,+4.656,+1.405,-6
twins_pcpvt_base,87.736,12.264,97.726,2.274,43.83,224,0.900,bicubic,+5.028,+1.380,+3
swin_small_patch4_window7_224,87.664,12.336,97.566,2.434,49.61,224,0.900,bicubic,+4.452,+1.244,-11
twins_svt_base,87.638,12.362,97.523,2.477,56.07,224,0.900,bicubic,+4.502,+1.105,-11
resnetv2_101x1_bitm,87.638,12.362,97.955,2.045,44.54,480,1.000,bilinear,+5.426,+1.483,+16
resnetv2_101x1_bitm,87.681,12.319,97.940,2.060,44.54,448,1.000,bilinear,+5.349,+1.422,+11
swin_small_patch4_window7_224,87.664,12.336,97.566,2.434,49.61,224,0.900,bicubic,+4.452,+1.244,-13
twins_svt_base,87.638,12.362,97.523,2.477,56.07,224,0.900,bicubic,+4.502,+1.105,-12
pnasnet5large,87.636,12.364,97.485,2.515,86.06,331,0.911,bicubic,+4.854,+1.445,-4
swsl_resnext101_32x16d,87.615,12.386,97.820,2.180,194.03,224,0.875,bilinear,+4.269,+0.974,-19
swsl_resnext50_32x4d,87.600,12.400,97.651,2.349,25.03,224,0.875,bilinear,+5.418,+1.421,+14
tf_efficientnet_b2_ns,87.557,12.443,97.628,2.372,9.11,260,0.890,bicubic,+5.177,+1.380,+2
levit_384,87.553,12.447,97.545,2.455,39.13,224,0.900,bicubic,+4.967,+1.529,-1
levit_384,87.553,12.447,97.545,2.455,39.13,224,0.900,bicubic,+4.967,+1.529,-2
ecaresnet50t,87.538,12.462,97.643,2.357,25.57,320,0.950,bicubic,+5.192,+1.505,+2
resnetv2_152x2_bit_teacher,87.493,12.507,97.812,2.188,236.34,224,0.875,bicubic,+4.631,+1.244,-12
efficientnet_b3,87.435,12.565,97.681,2.319,12.23,320,1.000,bicubic,+5.193,+1.567,+7
cait_xxs24_384,87.416,12.584,97.619,2.381,12.03,384,1.000,bicubic,+6.450,+1.973,+48
resnet51q,87.395,12.605,97.587,2.413,35.70,288,1.000,bilinear,+5.035,+1.407,-2
cait_xxs24_384,87.416,12.584,97.619,2.381,12.03,384,1.000,bicubic,+6.450,+1.973,+49
resnet51q,87.395,12.605,97.587,2.413,35.70,288,1.000,bilinear,+5.035,+1.407,-3
coat_lite_small,87.380,12.620,97.365,2.635,19.84,224,0.900,bicubic,+5.072,+1.515,-1
tresnet_l_448,87.377,12.623,97.485,2.515,55.99,448,0.875,bilinear,+5.109,+1.509,+2
nasnetalarge,87.350,12.650,97.417,2.583,88.75,331,0.911,bicubic,+4.730,+1.371,-10
ecaresnet101d,87.288,12.712,97.562,2.438,44.57,224,0.875,bicubic,+5.116,+1.516,+5
resnest101e,87.284,12.716,97.560,2.440,48.28,256,0.875,bilinear,+4.394,+1.240,-18
pit_s_distilled_224,87.277,12.723,97.500,2.500,24.04,224,0.900,bicubic,+5.281,+1.702,+7
nasnetalarge,87.350,12.650,97.417,2.583,88.75,331,0.911,bicubic,+4.730,+1.371,-11
ecaresnet101d,87.288,12.712,97.562,2.438,44.57,224,0.875,bicubic,+5.116,+1.516,+4
resnest101e,87.284,12.716,97.560,2.440,48.28,256,0.875,bilinear,+4.394,+1.240,-21
pit_s_distilled_224,87.277,12.723,97.500,2.500,24.04,224,0.900,bicubic,+5.281,+1.702,+6
resnetrs101,87.247,12.753,97.457,2.543,63.62,288,0.940,bicubic,+4.959,+1.449,-4
mixer_b16_224_miil,87.226,12.774,97.410,2.590,59.88,224,0.875,bilinear,+4.918,+1.694,-7
tresnet_xl,87.224,12.776,97.400,2.600,78.44,224,0.875,bilinear,+5.170,+1.463,+2
tresnet_xl,87.224,12.776,97.400,2.600,78.44,224,0.875,bilinear,+5.170,+1.463,+1
convit_base,87.200,12.800,97.286,2.714,86.54,224,0.875,bicubic,+4.910,+1.348,-8
tf_efficientnet_b3_ap,87.192,12.808,97.380,2.620,12.23,300,0.904,bicubic,+5.370,+1.756,+5
visformer_small,87.181,12.819,97.323,2.677,40.22,224,0.900,bicubic,+5.075,+1.451,-2
convit_small,87.053,12.947,97.350,2.650,27.78,224,0.875,bicubic,+5.627,+1.606,+17
tf_efficientnetv2_b3,87.032,12.968,97.303,2.697,14.36,300,0.904,bicubic,+5.062,+1.521,0
vit_base_patch32_384,87.019,12.981,97.654,2.346,88.30,384,1.000,bicubic,+5.367,+1.526,+5
vit_large_patch16_224,87.006,12.994,97.690,2.310,304.33,224,0.900,bicubic,+3.944,+1.252,-33
vit_deit_small_distilled_patch16_224,86.993,13.007,97.316,2.684,22.44,224,0.900,bicubic,+5.793,+1.938,+22
tnt_s_patch16_224,86.903,13.097,97.368,2.632,23.76,224,0.900,bicubic,+5.385,+1.620,+7
ssl_resnext101_32x16d,86.856,13.143,97.517,2.483,194.03,224,0.875,bilinear,+5.013,+1.421,-4
rexnet_200,86.846,13.154,97.276,2.724,16.37,224,0.875,bicubic,+5.214,+1.608,+2
tf_efficientnet_b3,86.835,13.165,97.297,2.703,12.23,300,0.904,bicubic,+5.199,+1.579,0
vit_deit_base_patch16_224,86.829,13.171,97.049,2.951,86.57,224,0.900,bicubic,+4.831,+1.315,-10
tresnet_m_448,86.820,13.180,97.212,2.788,31.39,448,0.875,bilinear,+5.106,+1.640,-5
ssl_resnext101_32x8d,86.807,13.193,97.466,2.534,88.79,224,0.875,bilinear,+5.191,+1.428,-1
swsl_resnet50,86.807,13.193,97.498,2.502,25.56,224,0.875,bilinear,+5.641,+1.526,+15
tf_efficientnet_lite4,86.803,13.197,97.263,2.737,13.01,380,0.920,bilinear,+5.267,+1.595,-2
coat_mini,86.793,13.207,97.162,2.837,10.34,224,0.900,bicubic,+5.525,+1.770,+9
vit_base_patch16_224,86.778,13.223,97.438,2.562,86.57,224,0.900,bicubic,+4.992,+1.316,-11
tresnet_l,86.767,13.233,97.271,2.729,55.99,224,0.875,bilinear,+5.277,+1.647,-1
twins_svt_small,86.756,13.244,97.175,2.825,24.06,224,0.900,bicubic,+5.074,+1.505,-11
levit_256,86.728,13.272,97.259,2.741,18.89,224,0.900,bicubic,+5.218,+1.769,-5
seresnext50_32x4d,86.699,13.301,97.214,2.786,27.56,224,0.875,bicubic,+5.433,+1.594,+5
pit_b_224,86.686,13.314,96.898,3.102,73.76,224,0.900,bicubic,+4.240,+1.188,-37
tf_efficientnet_b1_ns,86.669,13.331,97.378,2.622,7.79,240,0.882,bicubic,+5.281,+1.640,-3
swin_tiny_patch4_window7_224,86.664,13.336,97.197,2.803,28.29,224,0.900,bicubic,+5.286,+1.657,-3
gernet_l,86.654,13.346,97.186,2.814,31.08,256,0.875,bilinear,+5.300,+1.650,-3
wide_resnet50_2,86.647,13.353,97.214,2.786,68.88,224,0.875,bicubic,+5.191,+1.682,-8
efficientnet_el,86.635,13.366,97.175,2.825,10.59,300,0.904,bicubic,+5.319,+1.649,-4
twins_pcpvt_small,86.620,13.380,97.340,2.660,24.11,224,0.900,bicubic,+5.532,+1.698,+4
nf_resnet50,86.617,13.383,97.282,2.718,25.56,288,0.940,bicubic,+5.923,+1.926,+15
resnest50d_4s2x40d,86.592,13.408,97.269,2.731,30.42,224,0.875,bicubic,+5.484,+1.711,0
visformer_small,87.181,12.819,97.323,2.677,40.22,224,0.900,bicubic,+5.075,+1.451,-3
convit_small,87.053,12.947,97.350,2.650,27.78,224,0.875,bicubic,+5.627,+1.606,+15
tf_efficientnetv2_b3,87.032,12.968,97.303,2.697,14.36,300,0.904,bicubic,+5.062,+1.521,-1
deit_small_distilled_patch16_224,86.993,13.007,97.316,2.684,22.44,224,0.900,bicubic,+5.793,+1.938,+23
resmlp_36_distilled_224,86.993,13.007,97.278,2.722,44.69,224,0.875,bicubic,+5.833,+1.790,+24
tnt_s_patch16_224,86.903,13.097,97.368,2.632,23.76,224,0.900,bicubic,+5.385,+1.620,+6
vit_small_patch16_224,86.869,13.131,97.613,2.387,22.05,224,0.900,bicubic,+5.467,+1.479,+11
vit_small_r26_s32_224,86.863,13.137,97.528,2.472,36.43,224,0.900,bicubic,+5.005,+1.506,-5
ssl_resnext101_32x16d,86.856,13.143,97.517,2.483,194.03,224,0.875,bilinear,+5.013,+1.421,-5
rexnet_200,86.846,13.154,97.276,2.724,16.37,224,0.875,bicubic,+5.214,+1.608,-1
tf_efficientnet_b3,86.835,13.165,97.297,2.703,12.23,300,0.904,bicubic,+5.199,+1.579,-3
deit_base_patch16_224,86.829,13.171,97.049,2.951,86.57,224,0.900,bicubic,+4.831,+1.315,-12
tresnet_m_448,86.820,13.180,97.212,2.788,31.39,448,0.875,bilinear,+5.106,+1.640,-7
ssl_resnext101_32x8d,86.807,13.193,97.466,2.534,88.79,224,0.875,bilinear,+5.191,+1.428,-4
swsl_resnet50,86.807,13.193,97.498,2.502,25.56,224,0.875,bilinear,+5.641,+1.526,+13
tf_efficientnet_lite4,86.803,13.197,97.263,2.737,13.01,380,0.920,bilinear,+5.267,+1.595,-5
coat_mini,86.793,13.207,97.162,2.837,10.34,224,0.900,bicubic,+5.525,+1.770,+7
tresnet_l,86.767,13.233,97.271,2.729,55.99,224,0.875,bilinear,+5.277,+1.647,-3
twins_svt_small,86.756,13.244,97.175,2.825,24.06,224,0.900,bicubic,+5.074,+1.505,-12
levit_256,86.728,13.272,97.259,2.741,18.89,224,0.900,bicubic,+5.218,+1.769,-7
seresnext50_32x4d,86.699,13.301,97.214,2.786,27.56,224,0.875,bicubic,+5.433,+1.594,+4
pit_b_224,86.686,13.314,96.898,3.102,73.76,224,0.900,bicubic,+4.240,+1.188,-38
tf_efficientnet_b1_ns,86.669,13.331,97.378,2.622,7.79,240,0.882,bicubic,+5.281,+1.640,-4
swin_tiny_patch4_window7_224,86.664,13.336,97.197,2.803,28.29,224,0.900,bicubic,+5.286,+1.657,-4
gernet_l,86.654,13.346,97.186,2.814,31.08,256,0.875,bilinear,+5.300,+1.650,-4
wide_resnet50_2,86.647,13.353,97.214,2.786,68.88,224,0.875,bicubic,+5.191,+1.682,-10
efficientnet_el,86.635,13.366,97.175,2.825,10.59,300,0.904,bicubic,+5.319,+1.649,-5
resmlp_24_distilled_224,86.622,13.378,97.135,2.865,30.02,224,0.875,bicubic,+5.856,+1.917,+16
twins_pcpvt_small,86.620,13.380,97.340,2.660,24.11,224,0.900,bicubic,+5.532,+1.698,+3
nf_resnet50,86.609,13.391,97.293,2.707,25.56,288,0.940,bicubic,+5.949,+1.957,+17
resnest50d_4s2x40d,86.592,13.408,97.269,2.731,30.42,224,0.875,bicubic,+5.484,+1.711,-1
efficientnet_b3_pruned,86.581,13.419,97.190,2.810,9.86,300,0.904,bicubic,+5.723,+1.948,+9
repvgg_b3,86.566,13.434,97.139,2.861,123.09,224,0.875,bilinear,+6.074,+1.879,+17
repvgg_b3,86.566,13.434,97.139,2.861,123.09,224,0.875,bilinear,+6.074,+1.879,+19
ssl_resnext101_32x4d,86.479,13.521,97.468,2.532,44.18,224,0.875,bilinear,+5.555,+1.740,+4
ecaresnet50d,86.470,13.530,97.186,2.814,25.58,224,0.875,bicubic,+5.878,+1.866,+13
ecaresnet50d,86.470,13.530,97.186,2.814,25.58,224,0.875,bicubic,+5.878,+1.866,+15
gluon_resnet152_v1s,86.468,13.532,97.109,2.891,60.32,224,0.875,bicubic,+5.452,+1.697,-2
resnest50d_1s4x24d,86.447,13.553,97.148,2.852,25.68,224,0.875,bicubic,+5.459,+1.826,-2
repvgg_b3g4,86.361,13.639,97.054,2.946,83.83,224,0.875,bilinear,+6.147,+1.944,+29
legacy_senet154,86.342,13.658,96.928,3.072,115.09,224,0.875,bilinear,+5.032,+1.432,-14
cait_xxs36_224,86.340,13.660,97.111,2.889,17.30,224,1.000,bicubic,+6.590,+2.245,+51
resnetv2_50x1_bitm,86.436,13.564,97.602,2.398,25.55,448,1.000,bilinear,+6.094,+1.918,+22
repvgg_b3g4,86.361,13.639,97.054,2.946,83.83,224,0.875,bilinear,+6.149,+1.944,+32
legacy_senet154,86.342,13.658,96.928,3.072,115.09,224,0.875,bilinear,+5.032,+1.432,-17
cait_xxs36_224,86.340,13.660,97.111,2.889,17.30,224,1.000,bicubic,+6.590,+2.245,+54
gernet_m,86.319,13.681,97.096,2.904,21.14,224,0.875,bilinear,+5.587,+1.912,+3
pit_s_224,86.316,13.684,97.045,2.955,23.46,224,0.900,bicubic,+5.222,+1.713,-10
pit_s_224,86.316,13.684,97.045,2.955,23.46,224,0.900,bicubic,+5.222,+1.713,-12
vit_small_patch32_384,86.312,13.688,97.417,2.583,22.92,384,1.000,bicubic,+5.832,+1.819,+9
efficientnet_b2,86.304,13.696,96.990,3.010,9.11,288,1.000,bicubic,+5.692,+1.672,+3
gluon_senet154,86.278,13.722,96.949,3.051,115.09,224,0.875,bicubic,+5.044,+1.601,-16
resnest50d,86.240,13.761,97.073,2.927,27.48,224,0.875,bilinear,+5.266,+1.695,-9
ecaresnet101d_pruned,86.207,13.793,97.335,2.665,24.88,224,0.875,bicubic,+5.389,+1.707,-4
efficientnet_el_pruned,86.192,13.807,97.026,2.974,10.59,300,0.904,bicubic,+5.892,+1.808,+14
cspdarknet53,86.182,13.818,97.013,2.987,27.64,256,0.887,bilinear,+6.124,+1.929,+26
inception_v4,86.169,13.831,96.919,3.081,42.68,299,0.875,bicubic,+6.001,+1.951,+21
resnetv2_50x1_bitm,86.154,13.846,97.560,2.440,25.55,480,1.000,bilinear,+5.982,+1.934,+19
rexnet_150,86.154,13.846,97.058,2.942,9.73,224,0.875,bicubic,+5.844,+1.892,+8
inception_resnet_v2,86.133,13.867,97.043,2.957,55.84,299,0.897,bicubic,+5.675,+1.737,+2
ssl_resnext50_32x4d,86.086,13.914,97.212,2.788,25.03,224,0.875,bilinear,+5.768,+1.806,+5
tf_efficientnet_el,86.084,13.916,96.964,3.036,10.59,300,0.904,bicubic,+5.834,+1.836,+10
gluon_resnet101_v1s,86.054,13.946,97.022,2.978,44.67,224,0.875,bicubic,+5.752,+1.862,+5
ecaresnetlight,86.052,13.948,97.069,2.931,30.16,224,0.875,bicubic,+5.590,+1.819,-3
gluon_seresnext101_32x4d,86.032,13.968,96.977,3.023,48.96,224,0.875,bicubic,+5.128,+1.683,-18
resnet50d,86.009,13.991,96.979,3.021,25.58,224,0.875,bicubic,+5.479,+1.819,-9
ecaresnet26t,85.983,14.017,97.041,2.959,16.01,320,0.950,bicubic,+6.129,+1.957,+27
tf_efficientnet_b2_ap,85.975,14.025,96.810,3.190,9.11,260,0.890,bicubic,+5.675,+1.782,+2
gluon_seresnext101_64x4d,85.960,14.040,96.979,3.021,88.23,224,0.875,bicubic,+5.066,+1.671,-21
gluon_resnet152_v1d,85.917,14.083,96.812,3.188,60.21,224,0.875,bicubic,+5.443,+1.606,-10
vit_large_patch32_384,85.909,14.091,97.368,2.632,306.63,384,1.000,bicubic,+4.403,+1.276,-46
tf_efficientnet_b2,85.902,14.098,96.862,3.139,9.11,260,0.890,bicubic,+5.816,+1.954,+9
tf_efficientnetv2_b2,85.900,14.100,96.889,3.111,10.10,260,0.890,bicubic,+5.692,+1.847,+3
seresnet50,85.857,14.143,97.004,2.995,28.09,224,0.875,bicubic,+5.583,+1.934,-3
repvgg_b2g4,85.855,14.145,96.812,3.188,61.76,224,0.875,bilinear,+6.489,+2.124,+39
gluon_resnet101_v1d,85.849,14.151,96.663,3.337,44.57,224,0.875,bicubic,+5.435,+1.649,-13
resnet50,85.804,14.196,96.712,3.288,25.56,224,0.875,bicubic,+6.766,+2.322,+60
mixnet_xl,85.798,14.202,96.712,3.288,11.90,224,0.875,bicubic,+5.322,+1.776,-19
ens_adv_inception_resnet_v2,85.781,14.220,96.759,3.241,55.84,299,0.897,bicubic,+5.799,+1.823,+6
tf_efficientnet_lite3,85.755,14.245,96.887,3.113,8.20,300,0.904,bilinear,+5.935,+1.973,+17
ese_vovnet39b,85.751,14.249,96.891,3.109,24.57,224,0.875,bicubic,+6.431,+2.179,+35
gluon_resnext101_32x4d,85.746,14.254,96.635,3.365,44.18,224,0.875,bicubic,+5.412,+1.709,-17
legacy_seresnext101_32x4d,85.746,14.254,96.757,3.243,48.96,224,0.875,bilinear,+5.518,+1.739,-9
cspresnext50,85.740,14.260,96.840,3.160,20.57,224,0.875,bilinear,+5.700,+1.896,-1
regnety_320,85.727,14.273,96.725,3.275,145.05,224,0.875,bicubic,+4.915,+1.481,-34
cspresnet50,85.721,14.279,96.795,3.205,21.62,256,0.887,bilinear,+6.147,+2.083,+21
xception71,85.697,14.303,96.776,3.224,42.34,299,0.903,bicubic,+5.823,+1.854,+4
gluon_resnext101_64x4d,85.693,14.307,96.644,3.356,83.46,224,0.875,bicubic,+5.089,+1.656,-33
efficientnet_em,85.684,14.316,96.938,3.062,6.90,240,0.882,bicubic,+6.432,+2.144,+36
vit_deit_small_patch16_224,85.678,14.322,96.906,3.094,22.05,224,0.900,bicubic,+5.822,+1.854,+3
pit_xs_distilled_224,85.657,14.343,96.667,3.333,11.00,224,0.900,bicubic,+6.351,+2.303,+30
gluon_senet154,86.278,13.722,96.949,3.051,115.09,224,0.875,bicubic,+5.044,+1.601,-20
resnest50d,86.240,13.761,97.073,2.927,27.48,224,0.875,bilinear,+5.266,+1.695,-11
ecaresnet101d_pruned,86.210,13.790,97.335,2.665,24.88,224,0.875,bicubic,+5.392,+1.707,-6
efficientnet_el_pruned,86.192,13.807,97.026,2.974,10.59,300,0.904,bicubic,+5.892,+1.998,+17
cspdarknet53,86.182,13.818,97.013,2.987,27.64,256,0.887,bilinear,+6.124,+1.929,+27
inception_v4,86.169,13.831,96.919,3.081,42.68,299,0.875,bicubic,+6.001,+1.951,+22
rexnet_150,86.154,13.846,97.058,2.942,9.73,224,0.875,bicubic,+5.844,+1.892,+11
inception_resnet_v2,86.133,13.867,97.043,2.957,55.84,299,0.897,bicubic,+5.675,+1.737,+4
ssl_resnext50_32x4d,86.086,13.914,97.212,2.788,25.03,224,0.875,bilinear,+5.768,+1.806,+8
tf_efficientnet_el,86.084,13.916,96.964,3.036,10.59,300,0.904,bicubic,+5.834,+1.836,+13
gluon_resnet101_v1s,86.054,13.946,97.022,2.978,44.67,224,0.875,bicubic,+5.752,+1.862,+8
ecaresnetlight,86.052,13.948,97.069,2.931,30.16,224,0.875,bicubic,+5.590,+1.819,-1
gluon_seresnext101_32x4d,86.032,13.968,96.977,3.023,48.96,224,0.875,bicubic,+5.128,+1.683,-19
resnet50d,86.009,13.991,96.979,3.021,25.58,224,0.875,bicubic,+5.479,+1.819,-8
ecaresnet26t,85.983,14.017,97.041,2.959,16.01,320,0.950,bicubic,+6.129,+1.957,+29
tf_efficientnet_b2_ap,85.975,14.025,96.810,3.190,9.11,260,0.890,bicubic,+5.675,+1.592,+4
gluon_seresnext101_64x4d,85.960,14.040,96.979,3.021,88.23,224,0.875,bicubic,+5.066,+1.671,-22
vit_base_patch32_224,85.956,14.044,97.130,2.869,88.22,224,0.900,bicubic,+5.231,+1.562,-17
gluon_resnet152_v1d,85.917,14.083,96.812,3.188,60.21,224,0.875,bicubic,+5.443,+1.606,-9
vit_large_patch32_384,85.909,14.091,97.368,2.632,306.63,384,1.000,bicubic,+4.403,+1.276,-51
tf_efficientnet_b2,85.902,14.098,96.862,3.139,9.11,260,0.890,bicubic,+5.816,+1.954,+10
tf_efficientnetv2_b2,85.900,14.100,96.889,3.111,10.10,260,0.890,bicubic,+5.692,+1.847,+5
seresnet50,85.857,14.143,97.004,2.995,28.09,224,0.875,bicubic,+5.583,+1.934,-1
repvgg_b2g4,85.855,14.145,96.812,3.188,61.76,224,0.875,bilinear,+6.489,+2.124,+42
gluon_resnet101_v1d,85.849,14.151,96.663,3.337,44.57,224,0.875,bicubic,+5.435,+1.649,-12
resnet50,85.804,14.196,96.712,3.288,25.56,224,0.875,bicubic,+6.766,+2.322,+63
mixnet_xl,85.798,14.202,96.712,3.288,11.90,224,0.875,bicubic,+5.322,+1.776,-18
ens_adv_inception_resnet_v2,85.781,14.220,96.759,3.241,55.84,299,0.897,bicubic,+5.799,+1.821,+7
tf_efficientnet_lite3,85.755,14.245,96.887,3.113,8.20,300,0.904,bilinear,+5.935,+1.973,+18
ese_vovnet39b,85.751,14.249,96.891,3.109,24.57,224,0.875,bicubic,+6.431,+2.179,+38
gluon_resnext101_32x4d,85.746,14.254,96.635,3.365,44.18,224,0.875,bicubic,+5.412,+1.709,-15
legacy_seresnext101_32x4d,85.746,14.254,96.757,3.243,48.96,224,0.875,bilinear,+5.518,+1.739,-7
cspresnext50,85.740,14.260,96.840,3.160,20.57,224,0.875,bilinear,+5.700,+1.896,0
regnety_320,85.727,14.273,96.725,3.275,145.05,224,0.875,bicubic,+4.915,+1.481,-36
cspresnet50,85.721,14.279,96.795,3.205,21.62,256,0.887,bilinear,+6.147,+2.083,+23
xception71,85.697,14.303,96.776,3.224,42.34,299,0.903,bicubic,+5.823,+1.854,+5
resmlp_big_24_224,85.695,14.305,96.426,3.574,129.14,224,0.875,bicubic,+4.667,+1.404,-49
gluon_resnext101_64x4d,85.693,14.307,96.644,3.356,83.46,224,0.875,bicubic,+5.089,+1.656,-34
efficientnet_em,85.684,14.316,96.938,3.062,6.90,240,0.882,bicubic,+6.432,+2.144,+38
deit_small_patch16_224,85.678,14.322,96.906,3.094,22.05,224,0.900,bicubic,+5.822,+1.854,+2
pit_xs_distilled_224,85.657,14.343,96.667,3.333,11.00,224,0.900,bicubic,+6.351,+2.303,+31
efficientnet_b2_pruned,85.642,14.358,96.746,3.254,8.31,260,0.890,bicubic,+5.726,+1.890,-5
dpn107,85.640,14.360,96.729,3.271,86.92,224,0.875,bicubic,+5.484,+1.819,-14
resmlp_36_224,85.620,14.380,96.795,3.205,44.69,224,0.875,bicubic,+5.850,+1.909,+4
levit_192,85.580,14.420,96.740,3.260,10.95,224,0.900,bicubic,+5.738,+1.954,-2
gluon_resnet152_v1c,85.580,14.420,96.646,3.354,60.21,224,0.875,bicubic,+5.670,+1.806,-8
ecaresnet50d_pruned,85.580,14.420,96.936,3.064,19.94,224,0.875,bicubic,+5.864,+2.056,+7
gluon_resnet152_v1c,85.580,14.420,96.646,3.354,60.21,224,0.875,bicubic,+5.670,+1.806,-7
levit_192,85.580,14.420,96.740,3.260,10.95,224,0.900,bicubic,+5.738,+1.954,-1
resnext50d_32x4d,85.569,14.431,96.748,3.252,25.05,224,0.875,bicubic,+5.893,+1.882,+7
tf_efficientnetv2_b1,85.561,14.439,96.727,3.273,8.14,240,0.882,bicubic,+6.099,+2.005,+14
regnety_120,85.543,14.457,96.785,3.215,51.82,224,0.875,bicubic,+5.177,+1.659,-35
regnety_120,85.543,14.457,96.785,3.215,51.82,224,0.875,bicubic,+5.177,+1.659,-36
regnetx_320,85.524,14.476,96.669,3.331,107.81,224,0.875,bicubic,+5.278,+1.643,-27
nf_regnet_b1,85.499,14.501,96.799,3.200,10.22,288,0.900,bicubic,+6.193,+2.051,+19
dpn92,85.494,14.506,96.635,3.365,37.67,224,0.875,bicubic,+5.486,+1.799,-18
nf_regnet_b1,85.505,14.495,96.791,3.209,10.22,288,0.900,bicubic,+6.213,+2.043,+22
dpn92,85.494,14.506,96.635,3.365,37.67,224,0.875,bicubic,+5.486,+1.799,-19
gluon_resnet152_v1b,85.475,14.525,96.550,3.450,60.19,224,0.875,bicubic,+5.789,+1.814,0
rexnet_130,85.473,14.527,96.684,3.316,7.56,224,0.875,bicubic,+5.973,+2.002,+6
resnetrs50,85.462,14.538,96.736,3.264,35.69,224,0.910,bicubic,+5.570,+1.767,-16
dpn131,85.398,14.602,96.639,3.361,79.25,224,0.875,bicubic,+5.576,+1.929,-10
resnetrs50,85.462,14.538,96.736,3.264,35.69,224,0.910,bicubic,+5.570,+1.767,-17
dpn131,85.398,14.602,96.639,3.361,79.25,224,0.875,bicubic,+5.576,+1.929,-11
regnetx_160,85.390,14.610,96.637,3.363,54.28,224,0.875,bicubic,+5.534,+1.807,-15
dla102x2,85.366,14.634,96.629,3.371,41.28,224,0.875,bilinear,+5.918,+1.989,+5
gluon_seresnext50_32x4d,85.336,14.664,96.667,3.333,27.56,224,0.875,bicubic,+5.418,+1.845,-23
gluon_seresnext50_32x4d,85.336,14.664,96.667,3.333,27.56,224,0.875,bicubic,+5.418,+1.845,-24
xception65,85.315,14.685,96.637,3.363,39.92,299,0.903,bicubic,+5.763,+1.983,-2
skresnext50_32x4d,85.313,14.687,96.390,3.610,27.48,224,0.875,bicubic,+5.157,+1.748,-31
skresnext50_32x4d,85.313,14.687,96.390,3.610,27.48,224,0.875,bicubic,+5.157,+1.748,-32
dpn98,85.311,14.689,96.469,3.531,61.57,224,0.875,bicubic,+5.669,+1.871,-7
gluon_resnet101_v1c,85.304,14.696,96.405,3.595,44.57,224,0.875,bicubic,+5.770,+1.827,-4
dpn68b,85.291,14.709,96.464,3.536,12.61,224,0.875,bicubic,+6.076,+2.050,+14
dpn68b,85.291,14.709,96.464,3.536,12.61,224,0.875,bicubic,+6.076,+2.050,+15
regnety_064,85.283,14.717,96.639,3.361,30.58,224,0.875,bicubic,+5.561,+1.871,-15
resnetblur50,85.283,14.717,96.531,3.470,25.56,224,0.875,bicubic,+5.997,+1.892,+7
resnetblur50,85.283,14.717,96.531,3.470,25.56,224,0.875,bicubic,+5.997,+1.892,+8
resmlp_24_224,85.268,14.732,96.492,3.508,30.02,224,0.875,bicubic,+5.894,+1.946,-3
coat_lite_mini,85.251,14.749,96.680,3.320,11.01,224,0.900,bicubic,+6.163,+2.076,+15
regnety_080,85.245,14.755,96.633,3.367,39.18,224,0.875,bicubic,+5.369,+1.803,-28
cait_xxs24_224,85.228,14.773,96.712,3.288,11.96,224,1.000,bicubic,+6.842,+2.402,+43
resnext50_32x4d,85.221,14.779,96.526,3.474,25.03,224,0.875,bicubic,+5.453,+1.928,-22
regnety_080,85.245,14.755,96.633,3.367,39.18,224,0.875,bicubic,+5.369,+1.803,-30
cait_xxs24_224,85.228,14.773,96.712,3.288,11.96,224,1.000,bicubic,+6.842,+2.402,+44
resnext50_32x4d,85.221,14.779,96.526,3.474,25.03,224,0.875,bicubic,+5.453,+1.928,-23
resnext101_32x8d,85.187,14.813,96.445,3.555,88.79,224,0.875,bilinear,+5.879,+1.927,-4
gluon_inception_v3,85.183,14.817,96.526,3.474,23.83,299,0.875,bicubic,+6.377,+2.156,+21
hrnet_w48,85.151,14.849,96.492,3.508,77.47,224,0.875,bilinear,+5.851,+1.980,-1
gluon_xception65,85.148,14.851,96.597,3.403,39.92,299,0.903,bicubic,+5.433,+1.737,-22
hrnet_w48,85.151,14.849,96.492,3.508,77.47,224,0.875,bilinear,+5.851,+1.980,-2
gluon_xception65,85.148,14.851,96.597,3.403,39.92,299,0.903,bicubic,+5.433,+1.737,-23
gluon_resnet101_v1b,85.142,14.858,96.366,3.634,44.55,224,0.875,bicubic,+5.836,+1.842,-6
regnetx_120,85.131,14.869,96.477,3.523,46.11,224,0.875,bicubic,+5.535,+1.739,-20
regnetx_120,85.131,14.869,96.477,3.523,46.11,224,0.875,bicubic,+5.535,+1.739,-21
xception,85.129,14.871,96.471,3.529,22.86,299,0.897,bicubic,+6.077,+2.079,+9
tf_efficientnet_b1_ap,85.127,14.873,96.405,3.595,7.79,240,0.882,bicubic,+5.847,+2.099,-4
hrnet_w64,85.119,14.881,96.744,3.256,128.06,224,0.875,bilinear,+5.645,+2.092,-18
hrnet_w64,85.119,14.881,96.744,3.256,128.06,224,0.875,bilinear,+5.645,+2.092,-19
ssl_resnet50,85.097,14.903,96.866,3.134,25.56,224,0.875,bilinear,+5.875,+2.034,-4
res2net101_26w_4s,85.093,14.907,96.381,3.619,45.21,224,0.875,bilinear,+5.895,+1.949,-1
tf_efficientnet_cc_b1_8e,85.063,14.937,96.422,3.578,39.72,240,0.882,bicubic,+5.755,+2.052,-14
@ -239,115 +258,121 @@ dla169,84.920,15.080,96.535,3.465,53.39,224,0.875,bilinear,+6.232,+2.199,+9
tf_efficientnet_b1,84.918,15.082,96.364,3.636,7.79,240,0.882,bicubic,+6.092,+2.166,+2
legacy_seresnext50_32x4d,84.901,15.099,96.434,3.566,27.56,224,0.875,bilinear,+5.823,+1.998,-8
hrnet_w44,84.884,15.116,96.434,3.566,67.06,224,0.875,bilinear,+5.988,+2.066,-2
regnetx_080,84.862,15.138,96.434,3.566,39.57,224,0.875,bicubic,+5.668,+1.874,-12
gluon_resnet50_v1s,84.860,15.140,96.443,3.557,25.68,224,0.875,bicubic,+6.150,+2.205,+3
gluon_resnet50_v1s,84.862,15.138,96.443,3.557,25.68,224,0.875,bicubic,+6.150,+2.205,+4
regnetx_080,84.862,15.138,96.434,3.566,39.57,224,0.875,bicubic,+5.668,+1.874,-13
levit_128,84.843,15.157,96.360,3.640,9.21,224,0.900,bicubic,+6.357,+2.350,+9
gluon_resnet50_v1d,84.832,15.168,96.398,3.602,25.58,224,0.875,bicubic,+5.758,+1.928,-12
dla60_res2next,84.830,15.170,96.411,3.589,17.03,224,0.875,bilinear,+6.390,+2.259,+12
mixnet_l,84.822,15.178,96.328,3.672,7.33,224,0.875,bicubic,+5.846,+2.146,-10
vit_tiny_patch16_384,84.828,15.172,96.708,3.292,5.79,384,1.000,bicubic,+6.398,+2.166,+13
mixnet_l,84.822,15.178,96.328,3.672,7.33,224,0.875,bicubic,+5.846,+2.146,-11
tv_resnet152,84.815,15.185,96.225,3.775,60.19,224,0.875,bilinear,+6.503,+2.187,+17
dla102x,84.813,15.187,96.552,3.448,26.31,224,0.875,bilinear,+6.303,+2.324,+2
dla60_res2net,84.813,15.187,96.481,3.519,20.85,224,0.875,bilinear,+6.349,+2.275,+7
dla60_res2net,84.813,15.187,96.481,3.519,20.85,224,0.875,bilinear,+6.349,+2.275,+6
dla102x,84.813,15.187,96.552,3.448,26.31,224,0.875,bilinear,+6.303,+2.324,+1
pit_xs_224,84.792,15.208,96.492,3.508,10.62,224,0.900,bicubic,+6.610,+2.324,+19
xception41,84.792,15.208,96.413,3.587,26.97,299,0.903,bicubic,+6.276,+2.135,-1
regnetx_064,84.781,15.219,96.490,3.510,26.21,224,0.875,bicubic,+5.709,+2.032,-19
hrnet_w40,84.743,15.257,96.554,3.446,57.56,224,0.875,bilinear,+5.823,+2.084,-16
res2net50_26w_6s,84.726,15.274,96.281,3.719,37.05,224,0.875,bilinear,+6.156,+2.157,-5
repvgg_b2,84.724,15.276,96.469,3.531,89.02,224,0.875,bilinear,+5.932,+2.055,-12
legacy_seresnet152,84.704,15.296,96.417,3.583,66.82,224,0.875,bilinear,+6.044,+2.047,-9
selecsls60b,84.657,15.343,96.300,3.700,32.77,224,0.875,bicubic,+6.245,+2.126,+2
hrnet_w32,84.651,15.349,96.407,3.593,41.23,224,0.875,bilinear,+6.201,+2.221,-2
tf_efficientnetv2_b0,84.625,15.375,96.274,3.726,7.14,224,0.875,bicubic,+6.269,+2.250,+4
efficientnet_b1,84.608,15.392,96.332,3.668,7.79,256,1.000,bicubic,+5.814,+1.990,-18
regnetx_040,84.600,15.400,96.383,3.617,22.12,224,0.875,bicubic,+6.118,+2.139,-8
efficientnet_es,84.591,15.409,96.311,3.689,5.44,224,0.875,bicubic,+6.525,+2.385,+12
hrnet_w30,84.572,15.428,96.388,3.612,37.71,224,0.875,bilinear,+6.366,+2.166,+5
tf_mixnet_l,84.564,15.437,96.244,3.756,7.33,224,0.875,bicubic,+5.790,+2.246,-20
wide_resnet101_2,84.557,15.443,96.349,3.651,126.89,224,0.875,bilinear,+5.701,+2.067,-26
dla60x,84.523,15.477,96.285,3.715,17.35,224,0.875,bilinear,+6.277,+2.267,-1
legacy_seresnet101,84.504,15.496,96.330,3.670,49.33,224,0.875,bilinear,+6.122,+2.066,-6
xception41,84.792,15.208,96.413,3.587,26.97,299,0.903,bicubic,+6.276,+2.135,-2
regnetx_064,84.781,15.219,96.490,3.510,26.21,224,0.875,bicubic,+5.709,+2.032,-20
hrnet_w40,84.743,15.257,96.554,3.446,57.56,224,0.875,bilinear,+5.823,+2.084,-17
res2net50_26w_6s,84.726,15.274,96.281,3.719,37.05,224,0.875,bilinear,+6.156,+2.157,-6
repvgg_b2,84.724,15.276,96.469,3.531,89.02,224,0.875,bilinear,+5.932,+2.055,-13
resmlp_12_distilled_224,84.713,15.287,96.225,3.775,15.35,224,0.875,bicubic,+6.769,+2.667,+25
legacy_seresnet152,84.704,15.296,96.417,3.583,66.82,224,0.875,bilinear,+6.044,+2.047,-11
selecsls60b,84.657,15.343,96.300,3.700,32.77,224,0.875,bicubic,+6.245,+2.126,+1
hrnet_w32,84.651,15.349,96.407,3.593,41.23,224,0.875,bilinear,+6.201,+2.221,-4
tf_efficientnetv2_b0,84.625,15.375,96.274,3.726,7.14,224,0.875,bicubic,+6.269,+2.250,+3
efficientnet_b1,84.608,15.392,96.332,3.668,7.79,256,1.000,bicubic,+5.814,+1.990,-20
regnetx_040,84.600,15.400,96.383,3.617,22.12,224,0.875,bicubic,+6.118,+2.139,-10
efficientnet_es,84.591,15.409,96.311,3.689,5.44,224,0.875,bicubic,+6.525,+2.385,+11
hrnet_w30,84.572,15.428,96.388,3.612,37.71,224,0.875,bilinear,+6.366,+2.166,+4
tf_mixnet_l,84.564,15.437,96.244,3.756,7.33,224,0.875,bicubic,+5.790,+2.246,-22
wide_resnet101_2,84.557,15.443,96.349,3.651,126.89,224,0.875,bilinear,+5.701,+2.067,-28
dla60x,84.523,15.477,96.285,3.715,17.35,224,0.875,bilinear,+6.277,+2.267,-2
legacy_seresnet101,84.504,15.496,96.330,3.670,49.33,224,0.875,bilinear,+6.122,+2.066,-7
tf_efficientnet_em,84.450,15.550,96.180,3.820,6.90,240,0.882,bicubic,+6.320,+2.136,+2
coat_lite_tiny,84.450,15.550,96.368,3.632,5.72,224,0.900,bicubic,+6.938,+2.452,+27
tf_efficientnet_em,84.450,15.550,96.180,3.820,6.90,240,0.882,bicubic,+6.320,+2.136,+3
repvgg_b1,84.416,15.584,96.221,3.779,57.42,224,0.875,bilinear,+6.050,+2.123,-8
efficientnet_b1_pruned,84.393,15.607,96.140,3.860,6.33,240,0.882,bicubic,+6.157,+2.306,-4
repvgg_b1,84.416,15.584,96.221,3.779,57.42,224,0.875,bilinear,+6.050,+2.123,-9
efficientnet_b1_pruned,84.393,15.607,96.140,3.860,6.33,240,0.882,bicubic,+6.157,+2.306,-5
res2net50_26w_4s,84.365,15.635,96.082,3.918,25.70,224,0.875,bilinear,+6.401,+2.228,+7
hardcorenas_f,84.326,15.674,96.025,3.975,8.20,224,0.875,bilinear,+6.222,+2.222,0
res2net50_14w_8s,84.309,15.691,96.072,3.929,25.06,224,0.875,bilinear,+6.159,+2.224,-3
hardcorenas_f,84.326,15.674,96.025,3.975,8.20,224,0.875,bilinear,+6.222,+2.222,-1
res2net50_14w_8s,84.309,15.691,96.072,3.929,25.06,224,0.875,bilinear,+6.159,+2.224,-4
selecsls60,84.288,15.712,96.095,3.905,30.67,224,0.875,bicubic,+6.306,+2.267,+3
regnetx_032,84.237,15.763,96.247,3.753,15.30,224,0.875,bicubic,+6.065,+2.159,-6
res2next50,84.226,15.774,95.997,4.003,24.67,224,0.875,bilinear,+5.980,+2.105,-11
regnetx_032,84.237,15.763,96.247,3.753,15.30,224,0.875,bicubic,+6.065,+2.159,-7
res2next50,84.226,15.774,95.997,4.003,24.67,224,0.875,bilinear,+5.980,+2.105,-12
gluon_resnet50_v1c,84.207,15.793,96.161,3.839,25.58,224,0.875,bicubic,+6.195,+2.173,-2
dla102,84.190,15.810,96.206,3.794,33.27,224,0.875,bilinear,+6.158,+2.260,-4
rexnet_100,84.162,15.838,96.255,3.745,4.80,224,0.875,bicubic,+6.304,+2.839,+5
tf_inception_v3,84.134,15.866,95.920,4.080,23.83,299,0.875,bicubic,+6.276,+2.050,+2
rexnet_100,84.162,15.838,96.255,3.745,4.80,224,0.875,bicubic,+6.304,+2.385,+5
tf_inception_v3,84.132,15.868,95.920,4.080,23.83,299,0.875,bicubic,+6.270,+2.280,+3
res2net50_48w_2s,84.126,15.874,95.965,4.035,25.29,224,0.875,bilinear,+6.604,+2.411,+12
resnet34d,84.098,15.902,95.978,4.022,21.82,224,0.875,bicubic,+6.982,+2.596,+23
tf_efficientnet_lite2,84.094,15.906,96.069,3.931,6.09,260,0.890,bicubic,+6.626,+2.315,+12
efficientnet_b0,84.038,15.962,95.956,4.044,5.29,224,0.875,bicubic,+6.340,+2.424,+2
hardcorenas_e,83.968,16.032,95.898,4.101,8.07,224,0.875,bilinear,+6.174,+2.204,0
gmixer_24_224,83.968,16.032,95.849,4.151,24.72,224,0.875,bicubic,+5.932,+2.185,-12
hardcorenas_e,83.968,16.032,95.898,4.101,8.07,224,0.875,bilinear,+6.174,+2.204,-1
tf_efficientnet_cc_b0_8e,83.966,16.034,96.065,3.935,24.01,224,0.875,bicubic,+6.058,+2.411,-6
tv_resnext50_32x4d,83.959,16.041,95.960,4.040,25.03,224,0.875,bilinear,+6.339,+2.264,+1
tv_resnext50_32x4d,83.959,16.041,95.960,4.040,25.03,224,0.875,bilinear,+6.339,+2.264,0
regnety_016,83.955,16.045,96.005,3.995,11.20,224,0.875,bicubic,+6.093,+2.285,-7
gluon_resnet50_v1b,83.940,16.060,96.012,3.988,25.56,224,0.875,bicubic,+6.360,+2.296,+3
densenet161,83.906,16.094,96.010,3.990,28.68,224,0.875,bicubic,+6.548,+2.372,+9
adv_inception_v3,83.902,16.098,95.935,4.065,23.83,299,0.875,bicubic,+6.320,+2.199,0
mobilenetv2_120d,83.893,16.107,95.909,4.091,5.83,224,0.875,bicubic,+6.609,+2.417,+10
seresnext26t_32x4d,83.878,16.122,95.931,4.069,16.81,224,0.875,bicubic,+5.892,+2.185,-17
tv_resnet101,83.848,16.152,95.892,4.108,44.55,224,0.875,bilinear,+6.474,+2.352,+4
inception_v3,83.761,16.239,95.879,4.121,23.83,299,0.875,bicubic,+6.323,+2.403,+1
hardcorenas_d,83.759,16.241,95.734,4.266,7.50,224,0.875,bilinear,+6.327,+2.250,+1
seresnext26d_32x4d,83.754,16.246,95.849,4.151,16.81,224,0.875,bicubic,+6.152,+2.241,-8
vit_small_patch16_224,83.735,16.265,95.758,4.242,48.75,224,0.900,bicubic,+5.877,+2.118,-15
gluon_resnet50_v1b,83.940,16.060,96.012,3.988,25.56,224,0.875,bicubic,+6.360,+2.296,+2
densenet161,83.906,16.094,96.010,3.990,28.68,224,0.875,bicubic,+6.548,+2.372,+8
adv_inception_v3,83.902,16.098,95.935,4.065,23.83,299,0.875,bicubic,+6.320,+2.199,-1
mobilenetv2_120d,83.893,16.107,95.909,4.091,5.83,224,0.875,bicubic,+6.609,+2.417,+9
seresnext26t_32x4d,83.878,16.122,95.931,4.069,16.81,224,0.875,bicubic,+5.892,+2.185,-18
tv_resnet101,83.848,16.152,95.892,4.108,44.55,224,0.875,bilinear,+6.474,+2.352,+3
inception_v3,83.761,16.239,95.879,4.121,23.83,299,0.875,bicubic,+6.323,+2.405,0
hardcorenas_d,83.759,16.241,95.734,4.266,7.50,224,0.875,bilinear,+6.327,+2.250,0
seresnext26d_32x4d,83.754,16.246,95.849,4.151,16.81,224,0.875,bicubic,+6.152,+2.241,-9
dla60,83.729,16.271,95.933,4.067,22.04,224,0.875,bilinear,+6.697,+2.615,+10
repvgg_b1g4,83.699,16.301,96.020,3.980,39.97,224,0.875,bilinear,+6.105,+2.194,-10
legacy_seresnet50,83.662,16.337,95.973,4.027,28.09,224,0.875,bilinear,+6.032,+2.225,-14
tf_efficientnet_b0_ap,83.650,16.350,95.779,4.221,5.29,224,0.875,bicubic,+6.564,+2.523,+5
skresnet34,83.641,16.359,95.933,4.067,22.28,224,0.875,bicubic,+6.729,+2.611,+10
tf_efficientnet_cc_b0_4e,83.639,16.361,95.740,4.260,13.31,224,0.875,bicubic,+6.333,+2.406,-4
densenet201,83.556,16.444,95.811,4.189,20.01,224,0.875,bicubic,+6.270,+2.333,-4
resmlp_12_224,83.571,16.429,95.760,4.240,15.35,224,0.875,bicubic,+6.917,+2.580,+13
densenet201,83.556,16.444,95.811,4.189,20.01,224,0.875,bicubic,+6.270,+2.333,-5
mobilenetv3_large_100_miil,83.556,16.444,95.452,4.548,5.48,224,0.875,bilinear,+5.640,+2.542,-27
gernet_s,83.522,16.478,95.794,4.206,8.17,224,0.875,bilinear,+6.606,+2.662,+5
legacy_seresnext26_32x4d,83.517,16.483,95.719,4.281,16.79,224,0.875,bicubic,+6.413,+2.403,-2
tf_efficientnet_b0,83.515,16.485,95.719,4.281,5.29,224,0.875,bicubic,+6.667,+2.491,+4
mixnet_m,83.515,16.485,95.689,4.311,5.01,224,0.875,bicubic,+6.255,+2.265,-6
hrnet_w18,83.500,16.500,95.907,4.093,21.30,224,0.875,bilinear,+6.742,+2.463,+5
gernet_s,83.522,16.478,95.794,4.206,8.17,224,0.875,bilinear,+6.606,+2.662,+4
legacy_seresnext26_32x4d,83.517,16.483,95.719,4.281,16.79,224,0.875,bicubic,+6.413,+2.403,-3
mixnet_m,83.515,16.485,95.689,4.311,5.01,224,0.875,bicubic,+6.255,+2.265,-7
tf_efficientnet_b0,83.515,16.485,95.719,4.281,5.29,224,0.875,bicubic,+6.667,+2.491,+3
hrnet_w18,83.500,16.500,95.907,4.093,21.30,224,0.875,bilinear,+6.742,+2.463,+4
densenetblur121d,83.472,16.527,95.822,4.178,8.00,224,0.875,bicubic,+6.885,+2.630,+9
selecsls42b,83.457,16.543,95.745,4.255,32.46,224,0.875,bicubic,+6.283,+2.355,-9
selecsls42b,83.457,16.543,95.745,4.255,32.46,224,0.875,bicubic,+6.283,+2.355,-10
tf_efficientnet_lite1,83.344,16.656,95.642,4.358,5.42,240,0.882,bicubic,+6.702,+2.416,+4
hardcorenas_c,83.342,16.658,95.706,4.294,5.52,224,0.875,bilinear,+6.288,+2.548,-7
regnetx_016,83.195,16.805,95.740,4.260,9.19,224,0.875,bicubic,+6.245,+2.320,-6
hardcorenas_c,83.342,16.658,95.706,4.294,5.52,224,0.875,bilinear,+6.288,+2.548,-8
regnetx_016,83.195,16.805,95.740,4.260,9.19,224,0.875,bicubic,+6.245,+2.320,-7
mobilenetv2_140,83.182,16.818,95.689,4.311,6.11,224,0.875,bicubic,+6.666,+2.693,+7
dpn68,83.178,16.822,95.597,4.402,12.61,224,0.875,bicubic,+6.860,+2.620,+8
tf_efficientnet_es,83.178,16.822,95.585,4.415,5.44,224,0.875,bicubic,+6.584,+2.383,+1
tf_mixnet_m,83.176,16.824,95.461,4.539,5.01,224,0.875,bicubic,+6.234,+2.309,-9
ese_vovnet19b_dw,83.109,16.890,95.779,4.221,6.54,224,0.875,bicubic,+6.311,+2.511,-6
tf_mixnet_m,83.176,16.824,95.461,4.539,5.01,224,0.875,bicubic,+6.234,+2.309,-10
ese_vovnet19b_dw,83.109,16.890,95.779,4.221,6.54,224,0.875,bicubic,+6.311,+2.511,-7
levit_128s,83.069,16.931,95.531,4.469,7.78,224,0.900,bicubic,+6.539,+2.665,+1
resnet26d,83.050,16.950,95.604,4.396,16.01,224,0.875,bicubic,+6.354,+2.454,-6
resnet26d,83.050,16.950,95.604,4.396,16.01,224,0.875,bicubic,+6.354,+2.454,-7
repvgg_a2,83.001,16.999,95.589,4.411,28.21,224,0.875,bilinear,+6.541,+2.585,+1
tv_resnet50,82.958,17.042,95.467,4.533,25.56,224,0.875,bilinear,+6.820,+2.603,+3
hardcorenas_b,82.873,17.128,95.392,4.607,5.18,224,0.875,bilinear,+6.335,+2.638,-4
densenet121,82.823,17.177,95.585,4.415,7.98,224,0.875,bicubic,+7.245,+2.933,+8
densenet169,82.683,17.317,95.600,4.400,14.15,224,0.875,bicubic,+6.776,+2.574,+3
mixnet_s,82.525,17.476,95.356,4.644,4.13,224,0.875,bicubic,+6.532,+2.560,0
regnety_008,82.493,17.508,95.487,4.513,6.26,224,0.875,bicubic,+6.177,+2.421,-3
densenet121,82.823,17.177,95.585,4.415,7.98,224,0.875,bicubic,+7.245,+2.933,+10
vit_tiny_r_s16_p8_384,82.691,17.309,95.845,4.155,6.36,384,1.000,bicubic,+6.739,+2.585,+3
densenet169,82.683,17.317,95.600,4.400,14.15,224,0.875,bicubic,+6.776,+2.574,+4
mixnet_s,82.525,17.476,95.356,4.644,4.13,224,0.875,bicubic,+6.532,+2.560,-1
vit_small_patch32_224,82.514,17.486,95.670,4.330,22.88,224,0.900,bicubic,+6.524,+2.398,-1
regnety_008,82.493,17.508,95.487,4.513,6.26,224,0.875,bicubic,+6.177,+2.421,-5
efficientnet_lite0,82.382,17.619,95.279,4.721,4.65,224,0.875,bicubic,+6.898,+2.769,+7
resnest14d,82.352,17.648,95.339,4.661,10.61,224,0.875,bilinear,+6.846,+2.821,+5
resnest14d,82.349,17.651,95.339,4.661,10.61,224,0.875,bilinear,+6.843,+2.821,+5
hardcorenas_a,82.313,17.687,95.294,4.706,5.26,224,0.875,bilinear,+6.397,+2.780,-3
efficientnet_es_pruned,82.296,17.704,95.303,4.697,5.44,224,0.875,bicubic,+7.296,+2.855,+14
efficientnet_es_pruned,82.296,17.704,95.303,4.697,5.44,224,0.875,bicubic,+7.296,+2.855,+15
mobilenetv3_rw,82.275,17.725,95.234,4.766,5.48,224,0.875,bicubic,+6.641,+2.526,-1
semnasnet_100,82.251,17.749,95.230,4.770,3.89,224,0.875,bicubic,+6.803,+2.626,+3
semnasnet_100,82.251,17.749,95.230,4.770,3.89,224,0.875,bicubic,+6.803,+2.626,+4
mobilenetv3_large_100,82.177,17.823,95.196,4.804,5.48,224,0.875,bicubic,+6.410,+2.654,-5
resnet34,82.138,17.862,95.130,4.870,21.80,224,0.875,bilinear,+7.028,+2.846,+7
mobilenetv2_110d,82.070,17.930,95.076,4.923,4.52,224,0.875,bicubic,+7.034,+2.890,+8
tf_mixnet_s,82.038,17.962,95.121,4.879,4.13,224,0.875,bicubic,+6.388,+2.493,-7
resnet34,82.138,17.862,95.130,4.870,21.80,224,0.875,bilinear,+7.028,+2.846,+8
mobilenetv2_110d,82.070,17.930,95.076,4.923,4.52,224,0.875,bicubic,+7.034,+2.890,+9
vit_tiny_patch16_224,82.066,17.934,95.489,4.511,5.72,224,0.900,bicubic,+6.612,+2.641,-1
tf_mixnet_s,82.038,17.962,95.121,4.879,4.13,224,0.875,bicubic,+6.388,+2.493,-8
repvgg_b0,82.001,17.999,95.100,4.900,15.82,224,0.875,bilinear,+6.849,+2.682,+1
vit_deit_tiny_distilled_patch16_224,81.997,18.003,95.141,4.859,5.91,224,0.900,bicubic,+7.487,+3.251,+14
mixer_b16_224,81.978,18.022,94.449,5.551,59.88,224,0.875,bicubic,+5.376,+2.221,-24
deit_tiny_distilled_patch16_224,81.997,18.003,95.141,4.859,5.91,224,0.900,bicubic,+7.487,+3.251,+14
mixer_b16_224,81.978,18.022,94.449,5.551,59.88,224,0.875,bicubic,+5.376,+2.221,-27
pit_ti_distilled_224,81.967,18.033,95.145,4.855,5.10,224,0.900,bicubic,+7.437,+3.049,+11
hrnet_w18_small_v2,81.961,18.039,95.164,4.836,15.60,224,0.875,bilinear,+6.847,+2.748,-1
tf_efficientnet_lite0,81.952,18.048,95.168,4.832,4.65,224,0.875,bicubic,+7.122,+2.992,+3
resnet26,81.944,18.056,95.241,4.759,16.00,224,0.875,bicubic,+6.652,+2.671,-7
tf_mobilenetv3_large_100,81.848,18.152,95.070,4.930,5.48,224,0.875,bilinear,+6.330,+2.464,-12
tf_mobilenetv3_large_100,81.848,18.152,95.070,4.930,5.48,224,0.875,bilinear,+6.330,+2.464,-13
tv_densenet121,81.726,18.274,95.034,4.966,7.98,224,0.875,bicubic,+6.988,+2.884,+2
regnety_006,81.700,18.300,95.115,4.885,6.06,224,0.875,bicubic,+6.454,+2.583,-9
dla34,81.658,18.342,94.878,5.122,15.74,224,0.875,bilinear,+7.028,+2.800,+2
@ -371,18 +396,19 @@ resnet18d,80.387,19.613,94.252,5.748,11.71,224,0.875,bicubic,+8.127,+3.556,+6
mobilenetv2_100,80.257,19.743,94.195,5.805,3.50,224,0.875,bicubic,+7.287,+3.179,-1
ssl_resnet18,80.101,19.899,94.590,5.410,11.69,224,0.875,bilinear,+7.491,+3.174,0
tf_mobilenetv3_large_075,80.093,19.907,94.184,5.816,3.99,224,0.875,bilinear,+6.655,+2.834,-9
vit_deit_tiny_patch16_224,80.018,19.982,94.449,5.551,5.72,224,0.900,bicubic,+7.850,+3.331,+4
hrnet_w18_small,79.557,20.443,93.898,6.102,13.19,224,0.875,bilinear,+7.213,+3.220,0
deit_tiny_patch16_224,80.018,19.982,94.449,5.551,5.72,224,0.900,bicubic,+7.850,+3.331,+4
hrnet_w18_small,79.557,20.443,93.898,6.102,13.19,224,0.875,bilinear,+7.215,+3.220,0
vgg19,79.480,20.520,93.870,6.130,143.67,224,0.875,bilinear,+7.112,+2.998,-2
regnetx_004,79.435,20.565,93.853,6.147,5.16,224,0.875,bicubic,+7.039,+3.023,-4
tf_mobilenetv3_large_minimal_100,79.222,20.778,93.706,6.294,3.92,224,0.875,bilinear,+6.974,+3.076,-1
legacy_seresnet18,79.153,20.847,93.783,6.217,11.78,224,0.875,bicubic,+7.411,+3.449,+1
vgg16,79.038,20.962,93.646,6.354,138.36,224,0.875,bilinear,+7.444,+3.264,+2
vgg13_bn,79.006,20.994,93.655,6.345,133.05,224,0.875,bilinear,+7.412,+3.279,0
legacy_seresnet18,79.153,20.847,93.783,6.217,11.78,224,0.875,bicubic,+7.411,+3.449,+2
vgg16,79.038,20.962,93.646,6.354,138.36,224,0.875,bilinear,+7.444,+3.264,+3
vgg13_bn,79.006,20.994,93.655,6.345,133.05,224,0.875,bilinear,+7.412,+3.279,+1
vit_tiny_r_s16_p8_224,78.991,21.009,93.902,6.098,6.34,224,0.900,bicubic,+7.203,+3.074,-2
gluon_resnet18_v1b,78.372,21.628,93.138,6.862,11.69,224,0.875,bicubic,+7.536,+3.376,+1
vgg11_bn,77.926,22.074,93.230,6.770,132.87,224,0.875,bilinear,+7.566,+3.428,+1
regnety_002,77.405,22.595,92.914,7.086,3.16,224,0.875,bicubic,+7.153,+3.374,+1
mixer_l16_224,77.285,22.715,90.582,9.418,208.20,224,0.875,bicubic,+5.227,+2.914,-6
mixer_l16_224,77.285,22.715,90.582,9.418,208.20,224,0.875,bicubic,+5.227,+2.914,-7
resnet18,77.276,22.724,92.756,7.244,11.69,224,0.875,bilinear,+7.528,+3.678,+1
vgg13,77.230,22.770,92.689,7.311,133.05,224,0.875,bilinear,+7.303,+3.444,-1
vgg11,76.384,23.616,92.154,7.846,132.86,224,0.875,bilinear,+7.360,+3.526,0
@ -391,5 +417,5 @@ dla60x_c,75.637,24.363,92.177,7.823,1.32,224,0.875,bilinear,+7.745,+3.751,+1
tf_mobilenetv3_small_100,74.717,25.283,91.257,8.743,2.54,224,0.875,bilinear,+6.795,+3.593,-1
dla46x_c,73.647,26.353,91.095,8.905,1.07,224,0.875,bilinear,+7.677,+4.115,0
tf_mobilenetv3_small_075,72.812,27.188,90.036,9.964,2.04,224,0.875,bilinear,+7.096,+3.906,0
dla46_c,72.601,27.399,90.499,9.501,1.30,224,0.875,bilinear,+7.737,+4.207,0
dla46_c,72.601,27.399,90.499,9.501,1.30,224,0.875,bilinear,+7.735,+4.207,0
tf_mobilenetv3_small_minimal_100,70.111,29.889,88.505,11.495,2.04,224,0.875,bilinear,+7.205,+4.275,0

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation top1_diff top5_diff rank_diff
2 tf_efficientnet_l2_ns 90.563 9.437 98.779 1.221 480.31 800 0.960 bicubic +2.211 +0.129 0
3 tf_efficientnet_l2_ns_475 90.537 9.463 98.710 1.290 480.31 475 0.936 bicubic +2.303 +0.164 0
4 cait_m48_448 90.196 9.804 98.484 1.516 356.46 448 1.000 bicubic +3.712 +0.730 +2 +3
5 vit_large_patch16_384 90.196 9.804 98.661 1.339 304.72 384 1.000 bicubic +3.116 +0.361 0
6 tf_efficientnet_b7_ns 90.100 9.900 98.614 1.386 66.35 600 0.949 bicubic +3.260 +0.520 0
7 cait_m36_384 90.046 9.954 98.493 1.507 271.22 384 1.000 bicubic +3.992 +0.763 +7 +8
8 swin_large_patch4_window12_384 dm_nfnet_f6 90.027 90.046 9.973 9.954 98.657 98.546 1.343 1.454 196.74 438.36 384 576 1.000 0.956 bicubic +2.879 +3.902 +0.423 +0.816 -3 +5
9 tf_efficientnetv2_l_in21ft1k swin_large_patch4_window12_384 90.008 90.027 9.992 9.973 98.619 98.657 1.381 1.343 118.52 196.74 480 384 1.000 bicubic +3.704 +2.879 +0.641 +0.423 +2 -5
10 swin_base_patch4_window12_384 tf_efficientnetv2_l_in21ft1k 89.995 90.008 10.005 9.992 98.695 98.619 1.304 1.381 87.90 118.52 384 480 1.000 bicubic +3.563 +3.704 +0.637 +0.641 -1 +1
11 dm_nfnet_f6 swin_base_patch4_window12_384 89.901 89.995 10.099 10.005 98.529 98.695 1.471 1.304 438.36 87.90 576 384 0.956 1.000 bicubic +3.605 +3.563 +0.785 +0.637 +1 -2
12 cait_s36_384 vit_base_patch16_384 89.844 89.989 10.156 10.011 98.427 98.678 1.573 1.322 68.37 86.86 384 1.000 bicubic +4.384 +3.983 +0.947 +0.678 +8 +4
13 swin_large_patch4_window7_224 cait_s36_384 89.796 89.844 10.204 10.156 98.640 98.427 1.360 1.573 196.53 68.37 224 384 0.900 1.000 bicubic +3.477 +4.384 +0.744 +0.947 -3 +10
14 tf_efficientnet_b6_ns swin_large_patch4_window7_224 89.782 89.796 10.218 10.204 98.510 98.640 1.490 1.360 43.04 196.53 528 224 0.942 0.900 bicubic +3.330 +3.477 +0.628 +0.744 -6 -4
15 tf_efficientnetv2_m_in21ft1k vit_large_r50_s32_384 89.775 89.794 10.225 10.206 98.503 98.514 1.497 1.486 54.14 329.09 480 384 1.000 bicubic +4.187 +3.610 +0.751 +0.596 +2 -3
16 tf_efficientnet_b5_ns tf_efficientnet_b6_ns 89.651 89.782 10.349 10.218 98.482 98.510 1.518 1.490 30.39 43.04 456 528 0.934 0.942 bicubic +3.563 +3.330 +0.730 +0.628 -3 -8
17 tf_efficientnet_b8_ap tf_efficientnetv2_m_in21ft1k 89.581 89.775 10.419 10.225 98.305 98.503 1.695 1.497 87.41 54.14 672 480 0.954 1.000 bicubic +4.211 +4.187 +1.011 +0.751 +7 +3
18 tf_efficientnet_b5_ns 89.651 10.349 98.482 1.518 30.39 456 0.934 bicubic +3.563 +0.730 -4
19 tf_efficientnet_b8_ap 89.581 10.419 98.305 1.695 87.41 672 0.954 bicubic +4.211 +1.011 +8
20 dm_nfnet_f4 89.557 10.443 98.303 1.697 316.07 512 0.951 bicubic +3.843 +0.783 -1
21 cait_s24_384 89.502 10.498 98.362 1.638 47.06 384 1.000 bicubic +4.456 +1.016 +12
22 tf_efficientnet_b7_ap dm_nfnet_f3 89.429 89.485 10.571 10.515 98.347 98.399 1.653 1.601 66.35 254.92 600 416 0.949 0.940 bicubic +4.309 +3.963 +1.096 +0.937 +9 -1
23 vit_deit_base_distilled_patch16_384 dm_nfnet_f5 89.429 89.461 10.571 10.539 98.441 98.324 1.559 1.676 87.63 377.21 384 544 1.000 0.954 bicubic +4.007 +3.647 +1.109 +0.836 +2 -5
24 dm_nfnet_f3 deit_base_distilled_patch16_384 89.393 89.429 10.607 10.571 98.315 98.441 1.685 1.559 254.92 87.63 416 384 0.940 1.000 bicubic +3.833 +4.007 +0.909 +1.109 -3 +1
25 tf_efficientnetv2_l tf_efficientnet_b7_ap 89.367 89.429 10.633 10.571 98.275 98.347 1.725 1.653 118.52 66.35 480 600 1.000 0.949 bicubic +3.877 +4.309 +0.903 +1.096 -3 +5
26 tf_efficientnet_b8 tf_efficientnetv2_l 89.355 89.367 10.645 10.633 98.303 98.275 1.697 1.725 87.41 118.52 672 480 0.954 1.000 bicubic +3.985 +3.877 +0.913 +0.903 0 -4
27 tf_efficientnet_b6_ap tf_efficientnet_b8 89.342 89.355 10.658 10.645 98.281 98.303 1.719 1.697 43.04 87.41 528 672 0.942 0.954 bicubic +4.554 +3.985 +1.143 +0.913 +15 -1
28 tf_efficientnet_b4_ns tf_efficientnet_b6_ap 89.305 89.342 10.694 10.658 98.347 98.281 1.653 1.719 19.34 43.04 380 528 0.922 0.942 bicubic +4.143 +4.554 +0.877 +1.143 +1 +13
29 dm_nfnet_f4 vit_large_patch16_224 89.299 89.314 10.701 10.686 98.224 98.392 1.776 1.608 316.07 304.33 512 224 0.951 0.900 bicubic +3.641 +3.472 +0.714 +0.568 -10 -12
30 tf_efficientnetv2_m tf_efficientnet_b4_ns 89.284 89.305 10.716 10.694 98.236 98.347 1.764 1.653 54.14 19.34 480 380 1.000 0.922 bicubic +4.240 +4.143 +0.958 +0.877 +4 -1
31 dm_nfnet_f5 tf_efficientnetv2_m 89.184 89.284 10.816 10.716 98.232 98.236 1.768 1.764 377.21 54.14 544 480 0.954 1.000 bicubic +3.470 +4.240 +0.790 +0.958 -13 +3
32 swin_base_patch4_window7_224 89.145 10.855 98.429 1.571 87.77 224 0.900 bicubic +3.893 +0.867 -4
33 cait_xs24_384 eca_nfnet_l2 89.139 89.141 10.861 10.859 98.290 98.315 1.710 1.685 26.67 56.72 384 1.000 bicubic +5.077 +4.443 +1.402 +1.051 +26 +10
34 ig_resnext101_32x48d cait_xs24_384 89.120 89.139 10.880 10.861 98.130 98.290 1.870 1.710 828.41 26.67 224 384 0.875 1.000 bilinear bicubic +3.692 +5.077 +0.558 +1.402 -10 +27
35 ig_resnext101_32x32d ig_resnext101_32x48d 89.111 89.120 10.889 10.880 98.181 98.130 1.819 1.870 468.53 828.41 224 0.875 bilinear +4.017 +3.692 +0.743 +0.558 -3 -11
36 tf_efficientnet_b7 ig_resnext101_32x32d 89.086 89.111 10.914 10.889 98.183 98.181 1.817 1.819 66.35 468.53 600 224 0.949 0.875 bicubic bilinear +4.150 +4.017 +0.979 +0.743 +3 -5
37 ecaresnet269d tf_efficientnet_b7 89.069 89.086 10.931 10.914 98.234 98.183 1.766 1.817 102.09 66.35 352 600 1.000 0.949 bicubic +4.093 +4.150 +1.008 +0.979 0 +1
38 efficientnetv2_rw_m ecaresnet269d 88.987 89.069 11.013 10.931 98.213 98.234 1.787 1.766 53.24 102.09 416 352 1.000 bicubic +4.179 +4.093 +1.065 +1.008 +3 -2
39 resmlp_big_24_224_in22ft1k 89.011 10.989 98.215 1.785 129.14 224 0.875 bicubic +4.617 +1.095 +12
40 dm_nfnet_f2 89.009 10.991 98.189 1.810 193.78 352 0.920 bicubic +3.945 +0.950 -8
41 efficientnetv2_rw_m 88.987 11.013 98.213 1.787 53.24 416 1.000 bicubic +4.179 +1.065 -1
42 tf_efficientnet_b5_ap 88.938 11.062 98.164 1.836 30.39 456 0.934 bicubic +4.686 +1.190 +14
43 tf_efficientnetv2_s_in21ft1k dm_nfnet_f1 88.904 88.925 11.096 11.075 98.277 98.115 1.723 1.885 21.46 132.63 384 320 1.000 0.910 bicubic +4.602 +4.299 +1.025 +1.015 +10 +1
44 dm_nfnet_f2 tf_efficientnetv2_s_in21ft1k 88.889 88.904 11.111 11.096 98.117 98.277 1.883 1.723 193.78 21.46 352 384 0.920 1.000 bicubic +3.899 +4.602 +0.973 +1.025 -5 +9
45 dm_nfnet_f1 vit_base_patch16_224 88.853 88.866 11.147 11.134 98.093 98.230 1.907 1.770 132.63 86.57 320 224 0.910 0.900 bicubic +4.249 +4.334 +1.025 +0.936 +2 0
46 resnetrs420 88.840 11.160 98.034 1.966 191.89 416 1.000 bicubic +3.832 +0.910 -8 -11
47 ig_resnext101_32x16d 88.834 11.166 98.049 1.951 194.03 224 0.875 bilinear +4.664 +0.853 +11 +10
48 resnetrs270 88.834 11.166 98.136 1.864 129.86 352 1.000 bicubic +4.400 +1.166 +2 +1
49 vit_base_r50_s16_384 vit_small_r26_s32_384 88.808 88.819 11.192 11.181 98.232 98.337 1.768 1.663 98.95 36.47 384 1.000 bicubic +3.836 +4.773 +0.944 +1.009 -8 +14
50 seresnet152d vit_base_r50_s16_384 88.795 88.808 11.205 11.192 98.172 98.232 1.828 1.768 66.84 98.95 320 384 1.000 bicubic +4.433 +3.836 +1.132 +0.944 +2 -13
51 swsl_resnext101_32x8d seresnet152d 88.770 88.795 11.230 11.205 98.147 98.172 1.853 1.828 88.79 66.84 224 320 0.875 1.000 bilinear bicubic +4.486 +4.433 +0.971 +1.132 +3 +1
52 tf_efficientnet_b6 swsl_resnext101_32x8d 88.761 88.770 11.239 11.230 98.064 98.147 1.937 1.853 43.04 88.79 528 224 0.942 0.875 bicubic bilinear +4.651 +4.486 +1.178 +0.971 +8 +2
53 resnetrs350 tf_efficientnet_b6 88.759 88.761 11.241 11.239 98.029 98.064 1.971 1.937 163.96 43.04 384 528 1.000 0.942 bicubic +4.039 +4.651 +1.041 +1.178 -7 +6
54 vit_base_patch16_224_miil resnetrs350 88.737 88.759 11.262 11.241 98.027 98.029 1.973 1.971 86.54 163.96 224 384 0.875 1.000 bilinear bicubic +4.469 +4.039 +1.225 +1.041 +1 -12
55 resnetv2_152x2_bitm vit_base_patch16_224_miil 88.699 88.737 11.301 11.262 98.337 98.027 1.663 1.973 236.34 86.54 480 224 1.000 0.875 bilinear +4.259 +4.469 +0.891 +1.225 -6 0
56 regnety_160 resnetv2_152x2_bitm 88.697 88.725 11.303 11.275 98.068 98.307 1.932 1.693 83.59 236.34 288 448 1.000 bicubic bilinear +5.011 +4.215 +1.292 +0.875 +16 -9
57 pit_b_distilled_224 regnety_160 88.676 88.697 11.324 11.303 98.093 98.068 1.907 1.932 74.79 83.59 224 288 0.900 1.000 bicubic +4.532 +5.011 +1.237 +1.292 +2 +17
58 resnetrs200 pit_b_distilled_224 88.605 88.676 11.395 11.324 98.034 98.093 1.966 1.907 93.21 74.79 320 224 1.000 0.900 bicubic +4.539 +4.532 +1.160 +1.237 +3 0
59 eca_nfnet_l1 vit_small_patch16_384 88.575 88.652 11.425 11.348 98.130 98.232 1.870 1.768 41.41 22.20 320 384 1.000 bicubic +4.567 +4.850 +1.102 +1.130 +5 +13
60 resnetv2_152x4_bitm eca_nfnet_l1 88.565 88.624 11.435 11.376 98.185 98.132 1.815 1.868 936.53 41.41 480 320 1.000 bilinear bicubic +3.633 +4.614 +0.749 +1.104 -17 +5
61 resnet200d resnetrs200 88.543 88.605 11.457 11.395 97.959 98.034 2.041 1.966 64.69 93.21 320 1.000 bicubic +4.581 +4.539 +1.135 +1.160 +4 -1
62 resnest269e resnetv2_152x4_bitm 88.522 88.545 11.478 11.455 98.027 98.192 1.973 1.808 110.93 936.53 416 480 0.928 1.000 bicubic bilinear +4.004 +3.629 +1.041 +0.750 -14 -23
63 resnetv2_101x3_bitm resnet200d 88.492 88.543 11.508 11.457 98.162 97.959 1.838 2.041 387.93 64.69 480 320 1.000 bilinear bicubic +4.098 +4.581 +0.800 +1.135 -12 +3
64 efficientnetv2_rw_s resnest269e 88.473 88.522 11.527 11.478 97.974 98.027 2.026 1.973 23.94 110.93 384 416 1.000 0.928 bicubic +4.665 +4.004 +1.250 +1.041 +5 -18
65 cait_s24_224 efficientnetv2_rw_s 88.447 88.473 11.553 11.527 97.957 97.974 2.043 2.026 46.92 23.94 224 384 1.000 bicubic +4.995 +4.665 +1.393 +1.250 +10 +6
66 resnest200e resnetv2_101x3_bitm 88.432 88.464 11.568 11.536 98.042 98.157 1.958 1.843 70.20 387.93 320 448 0.909 1.000 bicubic bilinear +4.600 +4.024 +1.148 +0.775 +1 -18
67 tf_efficientnet_b3_ns cait_s24_224 88.426 88.447 11.574 11.553 98.029 97.957 1.971 2.043 12.23 46.92 300 224 0.904 1.000 bicubic +4.378 +4.995 +1.119 +1.393 -4 +11
68 vit_large_patch16_384 resnetv2_50x3_bitm 88.407 88.443 11.593 11.557 98.187 98.200 1.813 1.800 304.72 217.32 384 448 1.000 bicubic bilinear +3.249 +4.429 +0.831 +1.076 -35 -5
69 tf_efficientnetv2_s resmlp_big_24_distilled_224 88.402 88.443 11.598 11.557 97.927 97.940 2.073 2.060 21.46 129.14 384 224 1.000 0.875 bicubic +4.508 +4.853 +1.229 +1.292 -3 +9
70 vit_base_patch16_384 resnest200e 88.389 88.432 11.611 11.568 98.155 98.042 1.845 1.958 86.86 70.20 384 320 1.000 0.909 bicubic +4.180 +4.600 +0.937 +1.148 -13 -1
71 tf_efficientnet_b3_ns 88.426 11.574 98.029 1.971 12.23 300 0.904 bicubic +4.378 +1.119 -9
72 vit_large_r50_s32_224 88.426 11.574 98.085 1.915 328.99 224 0.900 bicubic +3.992 +0.921 -22
73 tf_efficientnetv2_s 88.402 11.598 97.927 2.073 21.46 384 1.000 bicubic +4.508 +1.229 -6
74 efficientnet_b4 88.372 11.628 97.961 2.039 19.34 384 1.000 bicubic +4.944 +1.365 +5
75 resnet152d 88.355 11.645 97.935 2.065 60.21 320 1.000 bicubic +4.675 +1.197 +1 0
76 resnetv2_50x3_bitm tf_efficientnet_b4_ap 88.349 11.651 98.108 97.893 1.892 2.107 217.32 19.34 480 380 1.000 0.922 bilinear bicubic +4.565 +5.101 +1.002 +1.501 -3 +8
tf_efficientnet_b4_ap 88.349 11.651 97.893 2.107 19.34 380 0.922 bicubic +5.101 +1.501 +6
77 tf_efficientnet_b5 88.321 11.679 97.912 2.088 30.39 456 0.934 bicubic +4.509 +1.164 -7
78 resnetrs152 88.251 11.749 97.737 2.263 86.62 320 1.000 bicubic +4.539 +1.123 -5
79 vit_deit_base_distilled_patch16_224 deit_base_distilled_patch16_224 88.214 11.786 97.914 2.086 87.34 224 0.900 bicubic +4.826 +1.426 0 +1
80 ig_resnext101_32x8d resnetv2_152x2_bit_teacher_384 88.146 88.150 11.854 11.850 97.856 98.051 2.144 1.949 88.79 236.34 224 384 0.875 1.000 bilinear bicubic +5.458 +4.306 +1.220 +0.933 +18 -12
81 cait_xxs36_384 ig_resnext101_32x8d 88.140 88.146 11.860 11.854 97.908 97.856 2.092 2.144 17.37 88.79 384 224 1.000 0.875 bicubic bilinear +5.946 +5.458 +1.760 +1.220 +32 +20
82 dm_nfnet_f0 cait_xxs36_384 88.112 88.140 11.888 11.860 97.837 97.908 2.163 2.092 71.49 17.37 256 384 0.900 1.000 bicubic +4.770 +5.946 +1.277 +1.760 -1 +34
83 swsl_resnext101_32x4d dm_nfnet_f0 88.099 88.125 11.901 11.875 97.967 97.854 2.033 2.146 44.18 71.49 224 256 0.875 0.900 bilinear bicubic +4.869 +4.739 +1.207 +1.282 0 -2
84 tf_efficientnet_b4 swsl_resnext101_32x4d 87.963 88.099 12.037 11.901 97.739 97.967 2.261 2.033 19.34 44.18 380 224 0.922 0.875 bicubic bilinear +4.941 +4.869 +1.439 +1.207 +8 +1
85 nfnet_l0 eca_nfnet_l0 87.948 87.980 12.052 12.020 97.850 97.871 2.150 2.129 35.07 24.14 288 1.000 bicubic +5.188 +5.400 +1.352 +1.381 +10 +19
86 eca_nfnet_l0 nfnet_l0 87.943 87.967 12.057 12.033 97.861 97.867 2.139 2.133 24.14 35.07 288 1.000 bicubic +5.355 +5.217 +1.387 +1.351 +14 +12
87 tf_efficientnet_b4 87.963 12.037 97.739 2.261 19.34 380 0.922 bicubic +4.941 +1.439 +6
88 resnet101d 87.941 12.059 97.908 2.092 44.57 320 1.000 bicubic +4.919 +1.462 +4
89 regnety_032 87.937 12.063 97.891 2.109 19.44 288 1.000 bicubic +5.213 +1.467 +8 +10
90 twins_svt_large vit_base_patch32_384 87.901 87.909 12.099 12.091 97.581 98.012 2.419 1.988 99.27 88.30 224 384 0.900 1.000 bicubic +4.223 +4.559 +0.987 +1.176 -13 -8
91 twins_svt_large 87.901 12.099 97.581 2.419 99.27 224 0.900 bicubic +4.223 +0.987 -15
92 twins_pcpvt_large 87.877 12.123 97.856 2.144 60.99 224 0.900 bicubic +4.737 +1.258 -5
93 vit_deit_base_patch16_384 deit_base_patch16_384 87.845 12.155 97.510 2.490 86.86 384 1.000 bicubic +4.739 +1.138 -4
94 tresnet_xl_448 87.796 12.204 97.459 2.541 78.44 448 0.875 bilinear +4.746 +1.285 -2 -3
95 tresnet_m resnetv2_50x1_bit_distilled 87.736 87.787 12.264 12.213 97.523 97.899 2.477 2.101 31.39 25.55 224 0.875 bilinear bicubic +4.656 +4.969 +1.405 +1.377 -5 +1
96 tresnet_m 87.736 12.264 97.523 2.477 31.39 224 0.875 bilinear +4.656 +1.405 -6
97 twins_pcpvt_base 87.736 12.264 97.726 2.274 43.83 224 0.900 bicubic +5.028 +1.380 +3
98 swin_small_patch4_window7_224 resnetv2_101x1_bitm 87.664 87.681 12.336 12.319 97.566 97.940 2.434 2.060 49.61 44.54 224 448 0.900 1.000 bicubic bilinear +4.452 +5.349 +1.244 +1.422 -11 +11
99 twins_svt_base swin_small_patch4_window7_224 87.638 87.664 12.362 12.336 97.523 97.566 2.477 2.434 56.07 49.61 224 0.900 bicubic +4.502 +4.452 +1.105 +1.244 -11 -13
100 resnetv2_101x1_bitm twins_svt_base 87.638 12.362 97.955 97.523 2.045 2.477 44.54 56.07 480 224 1.000 0.900 bilinear bicubic +5.426 +4.502 +1.483 +1.105 +16 -12
101 pnasnet5large 87.636 12.364 97.485 2.515 86.06 331 0.911 bicubic +4.854 +1.445 -4
102 swsl_resnext101_32x16d 87.615 12.386 97.820 2.180 194.03 224 0.875 bilinear +4.269 +0.974 -19
103 swsl_resnext50_32x4d 87.600 12.400 97.651 2.349 25.03 224 0.875 bilinear +5.418 +1.421 +14
104 tf_efficientnet_b2_ns 87.557 12.443 97.628 2.372 9.11 260 0.890 bicubic +5.177 +1.380 +2
105 levit_384 87.553 12.447 97.545 2.455 39.13 224 0.900 bicubic +4.967 +1.529 -1 -2
106 ecaresnet50t 87.538 12.462 97.643 2.357 25.57 320 0.950 bicubic +5.192 +1.505 +2
107 resnetv2_152x2_bit_teacher 87.493 12.507 97.812 2.188 236.34 224 0.875 bicubic +4.631 +1.244 -12
108 efficientnet_b3 87.435 12.565 97.681 2.319 12.23 320 1.000 bicubic +5.193 +1.567 +7
109 cait_xxs24_384 87.416 12.584 97.619 2.381 12.03 384 1.000 bicubic +6.450 +1.973 +48 +49
110 resnet51q 87.395 12.605 97.587 2.413 35.70 288 1.000 bilinear +5.035 +1.407 -2 -3
111 coat_lite_small 87.380 12.620 97.365 2.635 19.84 224 0.900 bicubic +5.072 +1.515 -1
112 tresnet_l_448 87.377 12.623 97.485 2.515 55.99 448 0.875 bilinear +5.109 +1.509 +2
113 nasnetalarge 87.350 12.650 97.417 2.583 88.75 331 0.911 bicubic +4.730 +1.371 -10 -11
114 ecaresnet101d 87.288 12.712 97.562 2.438 44.57 224 0.875 bicubic +5.116 +1.516 +5 +4
115 resnest101e 87.284 12.716 97.560 2.440 48.28 256 0.875 bilinear +4.394 +1.240 -18 -21
116 pit_s_distilled_224 87.277 12.723 97.500 2.500 24.04 224 0.900 bicubic +5.281 +1.702 +7 +6
117 resnetrs101 87.247 12.753 97.457 2.543 63.62 288 0.940 bicubic +4.959 +1.449 -4
118 mixer_b16_224_miil 87.226 12.774 97.410 2.590 59.88 224 0.875 bilinear +4.918 +1.694 -7
119 tresnet_xl 87.224 12.776 97.400 2.600 78.44 224 0.875 bilinear +5.170 +1.463 +2 +1
120 convit_base 87.200 12.800 97.286 2.714 86.54 224 0.875 bicubic +4.910 +1.348 -8
121 tf_efficientnet_b3_ap 87.192 12.808 97.380 2.620 12.23 300 0.904 bicubic +5.370 +1.756 +5
122 visformer_small 87.181 12.819 97.323 2.677 40.22 224 0.900 bicubic +5.075 +1.451 -2 -3
123 convit_small 87.053 12.947 97.350 2.650 27.78 224 0.875 bicubic +5.627 +1.606 +17 +15
124 tf_efficientnetv2_b3 87.032 12.968 97.303 2.697 14.36 300 0.904 bicubic +5.062 +1.521 0 -1
125 vit_base_patch32_384 deit_small_distilled_patch16_224 87.019 86.993 12.981 13.007 97.654 97.316 2.346 2.684 88.30 22.44 384 224 1.000 0.900 bicubic +5.367 +5.793 +1.526 +1.938 +5 +23
126 vit_large_patch16_224 resmlp_36_distilled_224 87.006 86.993 12.994 13.007 97.690 97.278 2.310 2.722 304.33 44.69 224 0.900 0.875 bicubic +3.944 +5.833 +1.252 +1.790 -33 +24
127 vit_deit_small_distilled_patch16_224 tnt_s_patch16_224 86.993 86.903 13.007 13.097 97.316 97.368 2.684 2.632 22.44 23.76 224 0.900 bicubic +5.793 +5.385 +1.938 +1.620 +22 +6
128 tnt_s_patch16_224 vit_small_patch16_224 86.903 86.869 13.097 13.131 97.368 97.613 2.632 2.387 23.76 22.05 224 0.900 bicubic +5.385 +5.467 +1.620 +1.479 +7 +11
129 ssl_resnext101_32x16d vit_small_r26_s32_224 86.856 86.863 13.143 13.137 97.517 97.528 2.483 2.472 194.03 36.43 224 0.875 0.900 bilinear bicubic +5.013 +5.005 +1.421 +1.506 -4 -5
130 rexnet_200 ssl_resnext101_32x16d 86.846 86.856 13.154 13.143 97.276 97.517 2.724 2.483 16.37 194.03 224 0.875 bicubic bilinear +5.214 +5.013 +1.608 +1.421 +2 -5
131 tf_efficientnet_b3 rexnet_200 86.835 86.846 13.165 13.154 97.297 97.276 2.703 2.724 12.23 16.37 300 224 0.904 0.875 bicubic +5.199 +5.214 +1.579 +1.608 0 -1
132 vit_deit_base_patch16_224 tf_efficientnet_b3 86.829 86.835 13.171 13.165 97.049 97.297 2.951 2.703 86.57 12.23 224 300 0.900 0.904 bicubic +4.831 +5.199 +1.315 +1.579 -10 -3
133 tresnet_m_448 deit_base_patch16_224 86.820 86.829 13.180 13.171 97.212 97.049 2.788 2.951 31.39 86.57 448 224 0.875 0.900 bilinear bicubic +5.106 +4.831 +1.640 +1.315 -5 -12
134 ssl_resnext101_32x8d tresnet_m_448 86.807 86.820 13.193 13.180 97.466 97.212 2.534 2.788 88.79 31.39 224 448 0.875 bilinear +5.191 +5.106 +1.428 +1.640 -1 -7
135 swsl_resnet50 ssl_resnext101_32x8d 86.807 13.193 97.498 97.466 2.502 2.534 25.56 88.79 224 0.875 bilinear +5.641 +5.191 +1.526 +1.428 +15 -4
136 tf_efficientnet_lite4 swsl_resnet50 86.803 86.807 13.197 13.193 97.263 97.498 2.737 2.502 13.01 25.56 380 224 0.920 0.875 bilinear +5.267 +5.641 +1.595 +1.526 -2 +13
137 coat_mini tf_efficientnet_lite4 86.793 86.803 13.207 13.197 97.162 97.263 2.837 2.737 10.34 13.01 224 380 0.900 0.920 bicubic bilinear +5.525 +5.267 +1.770 +1.595 +9 -5
138 vit_base_patch16_224 coat_mini 86.778 86.793 13.223 13.207 97.438 97.162 2.562 2.837 86.57 10.34 224 0.900 bicubic +4.992 +5.525 +1.316 +1.770 -11 +7
139 tresnet_l 86.767 13.233 97.271 2.729 55.99 224 0.875 bilinear +5.277 +1.647 -1 -3
140 twins_svt_small 86.756 13.244 97.175 2.825 24.06 224 0.900 bicubic +5.074 +1.505 -11 -12
141 levit_256 86.728 13.272 97.259 2.741 18.89 224 0.900 bicubic +5.218 +1.769 -5 -7
142 seresnext50_32x4d 86.699 13.301 97.214 2.786 27.56 224 0.875 bicubic +5.433 +1.594 +5 +4
143 pit_b_224 86.686 13.314 96.898 3.102 73.76 224 0.900 bicubic +4.240 +1.188 -37 -38
144 tf_efficientnet_b1_ns 86.669 13.331 97.378 2.622 7.79 240 0.882 bicubic +5.281 +1.640 -3 -4
145 swin_tiny_patch4_window7_224 86.664 13.336 97.197 2.803 28.29 224 0.900 bicubic +5.286 +1.657 -3 -4
146 gernet_l 86.654 13.346 97.186 2.814 31.08 256 0.875 bilinear +5.300 +1.650 -3 -4
147 wide_resnet50_2 86.647 13.353 97.214 2.786 68.88 224 0.875 bicubic +5.191 +1.682 -8 -10
148 efficientnet_el 86.635 13.366 97.175 2.825 10.59 300 0.904 bicubic +5.319 +1.649 -4 -5
149 twins_pcpvt_small resmlp_24_distilled_224 86.620 86.622 13.380 13.378 97.340 97.135 2.660 2.865 24.11 30.02 224 0.900 0.875 bicubic +5.532 +5.856 +1.698 +1.917 +4 +16
150 nf_resnet50 twins_pcpvt_small 86.617 86.620 13.383 13.380 97.282 97.340 2.718 2.660 25.56 24.11 288 224 0.940 0.900 bicubic +5.923 +5.532 +1.926 +1.698 +15 +3
151 resnest50d_4s2x40d nf_resnet50 86.592 86.609 13.408 13.391 97.269 97.293 2.731 2.707 30.42 25.56 224 288 0.875 0.940 bicubic +5.484 +5.949 +1.711 +1.957 0 +17
152 resnest50d_4s2x40d 86.592 13.408 97.269 2.731 30.42 224 0.875 bicubic +5.484 +1.711 -1
153 efficientnet_b3_pruned 86.581 13.419 97.190 2.810 9.86 300 0.904 bicubic +5.723 +1.948 +9
154 repvgg_b3 86.566 13.434 97.139 2.861 123.09 224 0.875 bilinear +6.074 +1.879 +17 +19
155 ssl_resnext101_32x4d 86.479 13.521 97.468 2.532 44.18 224 0.875 bilinear +5.555 +1.740 +4
156 ecaresnet50d 86.470 13.530 97.186 2.814 25.58 224 0.875 bicubic +5.878 +1.866 +13 +15
157 gluon_resnet152_v1s 86.468 13.532 97.109 2.891 60.32 224 0.875 bicubic +5.452 +1.697 -2
158 resnest50d_1s4x24d 86.447 13.553 97.148 2.852 25.68 224 0.875 bicubic +5.459 +1.826 -2
159 repvgg_b3g4 resnetv2_50x1_bitm 86.361 86.436 13.639 13.564 97.054 97.602 2.946 2.398 83.83 25.55 224 448 0.875 1.000 bilinear +6.147 +6.094 +1.944 +1.918 +29 +22
160 legacy_senet154 repvgg_b3g4 86.342 86.361 13.658 13.639 96.928 97.054 3.072 2.946 115.09 83.83 224 0.875 bilinear +5.032 +6.149 +1.432 +1.944 -14 +32
161 cait_xxs36_224 legacy_senet154 86.340 86.342 13.660 13.658 97.111 96.928 2.889 3.072 17.30 115.09 224 1.000 0.875 bicubic bilinear +6.590 +5.032 +2.245 +1.432 +51 -17
162 cait_xxs36_224 86.340 13.660 97.111 2.889 17.30 224 1.000 bicubic +6.590 +2.245 +54
163 gernet_m 86.319 13.681 97.096 2.904 21.14 224 0.875 bilinear +5.587 +1.912 +3
164 pit_s_224 86.316 13.684 97.045 2.955 23.46 224 0.900 bicubic +5.222 +1.713 -10 -12
165 vit_small_patch32_384 86.312 13.688 97.417 2.583 22.92 384 1.000 bicubic +5.832 +1.819 +9
166 efficientnet_b2 86.304 13.696 96.990 3.010 9.11 288 1.000 bicubic +5.692 +1.672 +3
167 gluon_senet154 86.278 13.722 96.949 3.051 115.09 224 0.875 bicubic +5.044 +1.601 -16 -20
168 resnest50d 86.240 13.761 97.073 2.927 27.48 224 0.875 bilinear +5.266 +1.695 -9 -11
169 ecaresnet101d_pruned 86.207 86.210 13.793 13.790 97.335 2.665 24.88 224 0.875 bicubic +5.389 +5.392 +1.707 -4 -6
170 efficientnet_el_pruned 86.192 13.807 97.026 2.974 10.59 300 0.904 bicubic +5.892 +1.808 +1.998 +14 +17
171 cspdarknet53 86.182 13.818 97.013 2.987 27.64 256 0.887 bilinear +6.124 +1.929 +26 +27
172 inception_v4 86.169 13.831 96.919 3.081 42.68 299 0.875 bicubic +6.001 +1.951 +21 +22
173 resnetv2_50x1_bitm rexnet_150 86.154 13.846 97.560 97.058 2.440 2.942 25.55 9.73 480 224 1.000 0.875 bilinear bicubic +5.982 +5.844 +1.934 +1.892 +19 +11
174 rexnet_150 inception_resnet_v2 86.154 86.133 13.846 13.867 97.058 97.043 2.942 2.957 9.73 55.84 224 299 0.875 0.897 bicubic +5.844 +5.675 +1.892 +1.737 +8 +4
175 inception_resnet_v2 ssl_resnext50_32x4d 86.133 86.086 13.867 13.914 97.043 97.212 2.957 2.788 55.84 25.03 299 224 0.897 0.875 bicubic bilinear +5.675 +5.768 +1.737 +1.806 +2 +8
176 ssl_resnext50_32x4d tf_efficientnet_el 86.086 86.084 13.914 13.916 97.212 96.964 2.788 3.036 25.03 10.59 224 300 0.875 0.904 bilinear bicubic +5.768 +5.834 +1.806 +1.836 +5 +13
177 tf_efficientnet_el gluon_resnet101_v1s 86.084 86.054 13.916 13.946 96.964 97.022 3.036 2.978 10.59 44.67 300 224 0.904 0.875 bicubic +5.834 +5.752 +1.836 +1.862 +10 +8
178 gluon_resnet101_v1s ecaresnetlight 86.054 86.052 13.946 13.948 97.022 97.069 2.978 2.931 44.67 30.16 224 0.875 bicubic +5.752 +5.590 +1.862 +1.819 +5 -1
179 ecaresnetlight gluon_seresnext101_32x4d 86.052 86.032 13.948 13.968 97.069 96.977 2.931 3.023 30.16 48.96 224 0.875 bicubic +5.590 +5.128 +1.819 +1.683 -3 -19
180 gluon_seresnext101_32x4d resnet50d 86.032 86.009 13.968 13.991 96.977 96.979 3.023 3.021 48.96 25.58 224 0.875 bicubic +5.128 +5.479 +1.683 +1.819 -18 -8
181 resnet50d ecaresnet26t 86.009 85.983 13.991 14.017 96.979 97.041 3.021 2.959 25.58 16.01 224 320 0.875 0.950 bicubic +5.479 +6.129 +1.819 +1.957 -9 +29
182 ecaresnet26t tf_efficientnet_b2_ap 85.983 85.975 14.017 14.025 97.041 96.810 2.959 3.190 16.01 9.11 320 260 0.950 0.890 bicubic +6.129 +5.675 +1.957 +1.592 +27 +4
183 tf_efficientnet_b2_ap gluon_seresnext101_64x4d 85.975 85.960 14.025 14.040 96.810 96.979 3.190 3.021 9.11 88.23 260 224 0.890 0.875 bicubic +5.675 +5.066 +1.782 +1.671 +2 -22
184 gluon_seresnext101_64x4d vit_base_patch32_224 85.960 85.956 14.040 14.044 96.979 97.130 3.021 2.869 88.23 88.22 224 0.875 0.900 bicubic +5.066 +5.231 +1.671 +1.562 -21 -17
185 gluon_resnet152_v1d 85.917 14.083 96.812 3.188 60.21 224 0.875 bicubic +5.443 +1.606 -10 -9
186 vit_large_patch32_384 85.909 14.091 97.368 2.632 306.63 384 1.000 bicubic +4.403 +1.276 -46 -51
187 tf_efficientnet_b2 85.902 14.098 96.862 3.139 9.11 260 0.890 bicubic +5.816 +1.954 +9 +10
188 tf_efficientnetv2_b2 85.900 14.100 96.889 3.111 10.10 260 0.890 bicubic +5.692 +1.847 +3 +5
189 seresnet50 85.857 14.143 97.004 2.995 28.09 224 0.875 bicubic +5.583 +1.934 -3 -1
190 repvgg_b2g4 85.855 14.145 96.812 3.188 61.76 224 0.875 bilinear +6.489 +2.124 +39 +42
191 gluon_resnet101_v1d 85.849 14.151 96.663 3.337 44.57 224 0.875 bicubic +5.435 +1.649 -13 -12
192 resnet50 85.804 14.196 96.712 3.288 25.56 224 0.875 bicubic +6.766 +2.322 +60 +63
193 mixnet_xl 85.798 14.202 96.712 3.288 11.90 224 0.875 bicubic +5.322 +1.776 -19 -18
194 ens_adv_inception_resnet_v2 85.781 14.220 96.759 3.241 55.84 299 0.897 bicubic +5.799 +1.823 +1.821 +6 +7
195 tf_efficientnet_lite3 85.755 14.245 96.887 3.113 8.20 300 0.904 bilinear +5.935 +1.973 +17 +18
196 ese_vovnet39b 85.751 14.249 96.891 3.109 24.57 224 0.875 bicubic +6.431 +2.179 +35 +38
197 gluon_resnext101_32x4d 85.746 14.254 96.635 3.365 44.18 224 0.875 bicubic +5.412 +1.709 -17 -15
198 legacy_seresnext101_32x4d 85.746 14.254 96.757 3.243 48.96 224 0.875 bilinear +5.518 +1.739 -9 -7
199 cspresnext50 85.740 14.260 96.840 3.160 20.57 224 0.875 bilinear +5.700 +1.896 -1 0
200 regnety_320 85.727 14.273 96.725 3.275 145.05 224 0.875 bicubic +4.915 +1.481 -34 -36
201 cspresnet50 85.721 14.279 96.795 3.205 21.62 256 0.887 bilinear +6.147 +2.083 +21 +23
202 xception71 85.697 14.303 96.776 3.224 42.34 299 0.903 bicubic +5.823 +1.854 +4 +5
203 gluon_resnext101_64x4d resmlp_big_24_224 85.693 85.695 14.307 14.305 96.644 96.426 3.356 3.574 83.46 129.14 224 0.875 bicubic +5.089 +4.667 +1.656 +1.404 -33 -49
204 efficientnet_em gluon_resnext101_64x4d 85.684 85.693 14.316 14.307 96.938 96.644 3.062 3.356 6.90 83.46 240 224 0.882 0.875 bicubic +6.432 +5.089 +2.144 +1.656 +36 -34
205 vit_deit_small_patch16_224 efficientnet_em 85.678 85.684 14.322 14.316 96.906 96.938 3.094 3.062 22.05 6.90 224 240 0.900 0.882 bicubic +5.822 +6.432 +1.854 +2.144 +3 +38
206 pit_xs_distilled_224 deit_small_patch16_224 85.657 85.678 14.343 14.322 96.667 96.906 3.333 3.094 11.00 22.05 224 0.900 bicubic +6.351 +5.822 +2.303 +1.854 +30 +2
207 pit_xs_distilled_224 85.657 14.343 96.667 3.333 11.00 224 0.900 bicubic +6.351 +2.303 +31
208 efficientnet_b2_pruned 85.642 14.358 96.746 3.254 8.31 260 0.890 bicubic +5.726 +1.890 -5
209 dpn107 85.640 14.360 96.729 3.271 86.92 224 0.875 bicubic +5.484 +1.819 -14
210 resmlp_36_224 85.620 14.380 96.795 3.205 44.69 224 0.875 bicubic +5.850 +1.909 +4
211 levit_192 85.580 14.420 96.740 3.260 10.95 224 0.900 bicubic +5.738 +1.954 -2
212 gluon_resnet152_v1c 85.580 14.420 96.646 3.354 60.21 224 0.875 bicubic +5.670 +1.806 -8
213 ecaresnet50d_pruned 85.580 14.420 96.936 3.064 19.94 224 0.875 bicubic +5.864 +2.056 +7
gluon_resnet152_v1c 85.580 14.420 96.646 3.354 60.21 224 0.875 bicubic +5.670 +1.806 -7
levit_192 85.580 14.420 96.740 3.260 10.95 224 0.900 bicubic +5.738 +1.954 -1
214 resnext50d_32x4d 85.569 14.431 96.748 3.252 25.05 224 0.875 bicubic +5.893 +1.882 +7
215 tf_efficientnetv2_b1 85.561 14.439 96.727 3.273 8.14 240 0.882 bicubic +6.099 +2.005 +14
216 regnety_120 85.543 14.457 96.785 3.215 51.82 224 0.875 bicubic +5.177 +1.659 -35 -36
217 regnetx_320 85.524 14.476 96.669 3.331 107.81 224 0.875 bicubic +5.278 +1.643 -27
218 nf_regnet_b1 85.499 85.505 14.501 14.495 96.799 96.791 3.200 3.209 10.22 288 0.900 bicubic +6.193 +6.213 +2.051 +2.043 +19 +22
219 dpn92 85.494 14.506 96.635 3.365 37.67 224 0.875 bicubic +5.486 +1.799 -18 -19
220 gluon_resnet152_v1b 85.475 14.525 96.550 3.450 60.19 224 0.875 bicubic +5.789 +1.814 0
221 rexnet_130 85.473 14.527 96.684 3.316 7.56 224 0.875 bicubic +5.973 +2.002 +6
222 resnetrs50 85.462 14.538 96.736 3.264 35.69 224 0.910 bicubic +5.570 +1.767 -16 -17
223 dpn131 85.398 14.602 96.639 3.361 79.25 224 0.875 bicubic +5.576 +1.929 -10 -11
224 regnetx_160 85.390 14.610 96.637 3.363 54.28 224 0.875 bicubic +5.534 +1.807 -15
225 dla102x2 85.366 14.634 96.629 3.371 41.28 224 0.875 bilinear +5.918 +1.989 +5
226 gluon_seresnext50_32x4d 85.336 14.664 96.667 3.333 27.56 224 0.875 bicubic +5.418 +1.845 -23 -24
227 xception65 85.315 14.685 96.637 3.363 39.92 299 0.903 bicubic +5.763 +1.983 -2
228 skresnext50_32x4d 85.313 14.687 96.390 3.610 27.48 224 0.875 bicubic +5.157 +1.748 -31 -32
229 dpn98 85.311 14.689 96.469 3.531 61.57 224 0.875 bicubic +5.669 +1.871 -7
230 gluon_resnet101_v1c 85.304 14.696 96.405 3.595 44.57 224 0.875 bicubic +5.770 +1.827 -4
231 dpn68b 85.291 14.709 96.464 3.536 12.61 224 0.875 bicubic +6.076 +2.050 +14 +15
232 regnety_064 85.283 14.717 96.639 3.361 30.58 224 0.875 bicubic +5.561 +1.871 -15
233 resnetblur50 85.283 14.717 96.531 3.470 25.56 224 0.875 bicubic +5.997 +1.892 +7 +8
234 resmlp_24_224 85.268 14.732 96.492 3.508 30.02 224 0.875 bicubic +5.894 +1.946 -3
235 coat_lite_mini 85.251 14.749 96.680 3.320 11.01 224 0.900 bicubic +6.163 +2.076 +15
236 regnety_080 85.245 14.755 96.633 3.367 39.18 224 0.875 bicubic +5.369 +1.803 -28 -30
237 cait_xxs24_224 85.228 14.773 96.712 3.288 11.96 224 1.000 bicubic +6.842 +2.402 +43 +44
238 resnext50_32x4d 85.221 14.779 96.526 3.474 25.03 224 0.875 bicubic +5.453 +1.928 -22 -23
239 resnext101_32x8d 85.187 14.813 96.445 3.555 88.79 224 0.875 bilinear +5.879 +1.927 -4
240 gluon_inception_v3 85.183 14.817 96.526 3.474 23.83 299 0.875 bicubic +6.377 +2.156 +21
241 hrnet_w48 85.151 14.849 96.492 3.508 77.47 224 0.875 bilinear +5.851 +1.980 -1 -2
242 gluon_xception65 85.148 14.851 96.597 3.403 39.92 299 0.903 bicubic +5.433 +1.737 -22 -23
243 gluon_resnet101_v1b 85.142 14.858 96.366 3.634 44.55 224 0.875 bicubic +5.836 +1.842 -6
244 regnetx_120 85.131 14.869 96.477 3.523 46.11 224 0.875 bicubic +5.535 +1.739 -20 -21
245 xception 85.129 14.871 96.471 3.529 22.86 299 0.897 bicubic +6.077 +2.079 +9
246 tf_efficientnet_b1_ap 85.127 14.873 96.405 3.595 7.79 240 0.882 bicubic +5.847 +2.099 -4
247 hrnet_w64 85.119 14.881 96.744 3.256 128.06 224 0.875 bilinear +5.645 +2.092 -18 -19
248 ssl_resnet50 85.097 14.903 96.866 3.134 25.56 224 0.875 bilinear +5.875 +2.034 -4
249 res2net101_26w_4s 85.093 14.907 96.381 3.619 45.21 224 0.875 bilinear +5.895 +1.949 -1
250 tf_efficientnet_cc_b1_8e 85.063 14.937 96.422 3.578 39.72 240 0.882 bicubic +5.755 +2.052 -14
258 tf_efficientnet_b1 84.918 15.082 96.364 3.636 7.79 240 0.882 bicubic +6.092 +2.166 +2
259 legacy_seresnext50_32x4d 84.901 15.099 96.434 3.566 27.56 224 0.875 bilinear +5.823 +1.998 -8
260 hrnet_w44 84.884 15.116 96.434 3.566 67.06 224 0.875 bilinear +5.988 +2.066 -2
261 regnetx_080 gluon_resnet50_v1s 84.862 15.138 96.434 96.443 3.566 3.557 39.57 25.68 224 0.875 bicubic +5.668 +6.150 +1.874 +2.205 -12 +4
262 gluon_resnet50_v1s regnetx_080 84.860 84.862 15.140 15.138 96.443 96.434 3.557 3.566 25.68 39.57 224 0.875 bicubic +6.150 +5.668 +2.205 +1.874 +3 -13
263 levit_128 84.843 15.157 96.360 3.640 9.21 224 0.900 bicubic +6.357 +2.350 +9
264 gluon_resnet50_v1d 84.832 15.168 96.398 3.602 25.58 224 0.875 bicubic +5.758 +1.928 -12
265 dla60_res2next 84.830 15.170 96.411 3.589 17.03 224 0.875 bilinear +6.390 +2.259 +12
266 mixnet_l vit_tiny_patch16_384 84.822 84.828 15.178 15.172 96.328 96.708 3.672 3.292 7.33 5.79 224 384 0.875 1.000 bicubic +5.846 +6.398 +2.146 +2.166 -10 +13
267 mixnet_l 84.822 15.178 96.328 3.672 7.33 224 0.875 bicubic +5.846 +2.146 -11
268 tv_resnet152 84.815 15.185 96.225 3.775 60.19 224 0.875 bilinear +6.503 +2.187 +17
269 dla102x dla60_res2net 84.813 15.187 96.552 96.481 3.448 3.519 26.31 20.85 224 0.875 bilinear +6.303 +6.349 +2.324 +2.275 +2 +6
270 dla60_res2net dla102x 84.813 15.187 96.481 96.552 3.519 3.448 20.85 26.31 224 0.875 bilinear +6.349 +6.303 +2.275 +2.324 +7 +1
271 pit_xs_224 84.792 15.208 96.492 3.508 10.62 224 0.900 bicubic +6.610 +2.324 +19
272 xception41 84.792 15.208 96.413 3.587 26.97 299 0.903 bicubic +6.276 +2.135 -1 -2
273 regnetx_064 84.781 15.219 96.490 3.510 26.21 224 0.875 bicubic +5.709 +2.032 -19 -20
274 hrnet_w40 84.743 15.257 96.554 3.446 57.56 224 0.875 bilinear +5.823 +2.084 -16 -17
275 res2net50_26w_6s 84.726 15.274 96.281 3.719 37.05 224 0.875 bilinear +6.156 +2.157 -5 -6
276 repvgg_b2 84.724 15.276 96.469 3.531 89.02 224 0.875 bilinear +5.932 +2.055 -12 -13
277 legacy_seresnet152 resmlp_12_distilled_224 84.704 84.713 15.296 15.287 96.417 96.225 3.583 3.775 66.82 15.35 224 0.875 bilinear bicubic +6.044 +6.769 +2.047 +2.667 -9 +25
278 selecsls60b legacy_seresnet152 84.657 84.704 15.343 15.296 96.300 96.417 3.700 3.583 32.77 66.82 224 0.875 bicubic bilinear +6.245 +6.044 +2.126 +2.047 +2 -11
279 hrnet_w32 selecsls60b 84.651 84.657 15.349 15.343 96.407 96.300 3.593 3.700 41.23 32.77 224 0.875 bilinear bicubic +6.201 +6.245 +2.221 +2.126 -2 +1
280 tf_efficientnetv2_b0 hrnet_w32 84.625 84.651 15.375 15.349 96.274 96.407 3.726 3.593 7.14 41.23 224 0.875 bicubic bilinear +6.269 +6.201 +2.250 +2.221 +4 -4
281 efficientnet_b1 tf_efficientnetv2_b0 84.608 84.625 15.392 15.375 96.332 96.274 3.668 3.726 7.79 7.14 256 224 1.000 0.875 bicubic +5.814 +6.269 +1.990 +2.250 -18 +3
282 regnetx_040 efficientnet_b1 84.600 84.608 15.400 15.392 96.383 96.332 3.617 3.668 22.12 7.79 224 256 0.875 1.000 bicubic +6.118 +5.814 +2.139 +1.990 -8 -20
283 efficientnet_es regnetx_040 84.591 84.600 15.409 15.400 96.311 96.383 3.689 3.617 5.44 22.12 224 0.875 bicubic +6.525 +6.118 +2.385 +2.139 +12 -10
284 hrnet_w30 efficientnet_es 84.572 84.591 15.428 15.409 96.388 96.311 3.612 3.689 37.71 5.44 224 0.875 bilinear bicubic +6.366 +6.525 +2.166 +2.385 +5 +11
285 tf_mixnet_l hrnet_w30 84.564 84.572 15.437 15.428 96.244 96.388 3.756 3.612 7.33 37.71 224 0.875 bicubic bilinear +5.790 +6.366 +2.246 +2.166 -20 +4
286 wide_resnet101_2 tf_mixnet_l 84.557 84.564 15.443 15.437 96.349 96.244 3.651 3.756 126.89 7.33 224 0.875 bilinear bicubic +5.701 +5.790 +2.067 +2.246 -26 -22
287 dla60x wide_resnet101_2 84.523 84.557 15.477 15.443 96.285 96.349 3.715 3.651 17.35 126.89 224 0.875 bilinear +6.277 +5.701 +2.267 +2.067 -1 -28
288 legacy_seresnet101 dla60x 84.504 84.523 15.496 15.477 96.330 96.285 3.670 3.715 49.33 17.35 224 0.875 bilinear +6.122 +6.277 +2.066 +2.267 -6 -2
289 legacy_seresnet101 84.504 15.496 96.330 3.670 49.33 224 0.875 bilinear +6.122 +2.066 -7
290 tf_efficientnet_em 84.450 15.550 96.180 3.820 6.90 240 0.882 bicubic +6.320 +2.136 +2
291 coat_lite_tiny 84.450 15.550 96.368 3.632 5.72 224 0.900 bicubic +6.938 +2.452 +27
292 tf_efficientnet_em repvgg_b1 84.450 84.416 15.550 15.584 96.180 96.221 3.820 3.779 6.90 57.42 240 224 0.882 0.875 bicubic bilinear +6.320 +6.050 +2.136 +2.123 +3 -9
293 repvgg_b1 efficientnet_b1_pruned 84.416 84.393 15.584 15.607 96.221 96.140 3.779 3.860 57.42 6.33 224 240 0.875 0.882 bilinear bicubic +6.050 +6.157 +2.123 +2.306 -8 -5
efficientnet_b1_pruned 84.393 15.607 96.140 3.860 6.33 240 0.882 bicubic +6.157 +2.306 -4
294 res2net50_26w_4s 84.365 15.635 96.082 3.918 25.70 224 0.875 bilinear +6.401 +2.228 +7
295 hardcorenas_f 84.326 15.674 96.025 3.975 8.20 224 0.875 bilinear +6.222 +2.222 0 -1
296 res2net50_14w_8s 84.309 15.691 96.072 3.929 25.06 224 0.875 bilinear +6.159 +2.224 -3 -4
297 selecsls60 84.288 15.712 96.095 3.905 30.67 224 0.875 bicubic +6.306 +2.267 +3
298 regnetx_032 84.237 15.763 96.247 3.753 15.30 224 0.875 bicubic +6.065 +2.159 -6 -7
299 res2next50 84.226 15.774 95.997 4.003 24.67 224 0.875 bilinear +5.980 +2.105 -11 -12
300 gluon_resnet50_v1c 84.207 15.793 96.161 3.839 25.58 224 0.875 bicubic +6.195 +2.173 -2
301 dla102 84.190 15.810 96.206 3.794 33.27 224 0.875 bilinear +6.158 +2.260 -4
302 rexnet_100 84.162 15.838 96.255 3.745 4.80 224 0.875 bicubic +6.304 +2.839 +2.385 +5
303 tf_inception_v3 84.134 84.132 15.866 15.868 95.920 4.080 23.83 299 0.875 bicubic +6.276 +6.270 +2.050 +2.280 +2 +3
304 res2net50_48w_2s 84.126 15.874 95.965 4.035 25.29 224 0.875 bilinear +6.604 +2.411 +12
305 resnet34d 84.098 15.902 95.978 4.022 21.82 224 0.875 bicubic +6.982 +2.596 +23
306 tf_efficientnet_lite2 84.094 15.906 96.069 3.931 6.09 260 0.890 bicubic +6.626 +2.315 +12
307 efficientnet_b0 84.038 15.962 95.956 4.044 5.29 224 0.875 bicubic +6.340 +2.424 +2
308 hardcorenas_e gmixer_24_224 83.968 16.032 95.898 95.849 4.101 4.151 8.07 24.72 224 0.875 bilinear bicubic +6.174 +5.932 +2.204 +2.185 0 -12
309 hardcorenas_e 83.968 16.032 95.898 4.101 8.07 224 0.875 bilinear +6.174 +2.204 -1
310 tf_efficientnet_cc_b0_8e 83.966 16.034 96.065 3.935 24.01 224 0.875 bicubic +6.058 +2.411 -6
311 tv_resnext50_32x4d 83.959 16.041 95.960 4.040 25.03 224 0.875 bilinear +6.339 +2.264 +1 0
312 regnety_016 83.955 16.045 96.005 3.995 11.20 224 0.875 bicubic +6.093 +2.285 -7
313 gluon_resnet50_v1b 83.940 16.060 96.012 3.988 25.56 224 0.875 bicubic +6.360 +2.296 +3 +2
314 densenet161 83.906 16.094 96.010 3.990 28.68 224 0.875 bicubic +6.548 +2.372 +9 +8
315 adv_inception_v3 83.902 16.098 95.935 4.065 23.83 299 0.875 bicubic +6.320 +2.199 0 -1
316 mobilenetv2_120d 83.893 16.107 95.909 4.091 5.83 224 0.875 bicubic +6.609 +2.417 +10 +9
317 seresnext26t_32x4d 83.878 16.122 95.931 4.069 16.81 224 0.875 bicubic +5.892 +2.185 -17 -18
318 tv_resnet101 83.848 16.152 95.892 4.108 44.55 224 0.875 bilinear +6.474 +2.352 +4 +3
319 inception_v3 83.761 16.239 95.879 4.121 23.83 299 0.875 bicubic +6.323 +2.403 +2.405 +1 0
320 hardcorenas_d 83.759 16.241 95.734 4.266 7.50 224 0.875 bilinear +6.327 +2.250 +1 0
321 seresnext26d_32x4d 83.754 16.246 95.849 4.151 16.81 224 0.875 bicubic +6.152 +2.241 -8 -9
vit_small_patch16_224 83.735 16.265 95.758 4.242 48.75 224 0.900 bicubic +5.877 +2.118 -15
322 dla60 83.729 16.271 95.933 4.067 22.04 224 0.875 bilinear +6.697 +2.615 +10
323 repvgg_b1g4 83.699 16.301 96.020 3.980 39.97 224 0.875 bilinear +6.105 +2.194 -10
324 legacy_seresnet50 83.662 16.337 95.973 4.027 28.09 224 0.875 bilinear +6.032 +2.225 -14
325 tf_efficientnet_b0_ap 83.650 16.350 95.779 4.221 5.29 224 0.875 bicubic +6.564 +2.523 +5
326 skresnet34 83.641 16.359 95.933 4.067 22.28 224 0.875 bicubic +6.729 +2.611 +10
327 tf_efficientnet_cc_b0_4e 83.639 16.361 95.740 4.260 13.31 224 0.875 bicubic +6.333 +2.406 -4
328 densenet201 resmlp_12_224 83.556 83.571 16.444 16.429 95.811 95.760 4.189 4.240 20.01 15.35 224 0.875 bicubic +6.270 +6.917 +2.333 +2.580 -4 +13
329 densenet201 83.556 16.444 95.811 4.189 20.01 224 0.875 bicubic +6.270 +2.333 -5
330 mobilenetv3_large_100_miil 83.556 16.444 95.452 4.548 5.48 224 0.875 bilinear +5.640 +2.542 -27
331 gernet_s 83.522 16.478 95.794 4.206 8.17 224 0.875 bilinear +6.606 +2.662 +5 +4
332 legacy_seresnext26_32x4d 83.517 16.483 95.719 4.281 16.79 224 0.875 bicubic +6.413 +2.403 -2 -3
333 tf_efficientnet_b0 mixnet_m 83.515 16.485 95.719 95.689 4.281 4.311 5.29 5.01 224 0.875 bicubic +6.667 +6.255 +2.491 +2.265 +4 -7
334 mixnet_m tf_efficientnet_b0 83.515 16.485 95.689 95.719 4.311 4.281 5.01 5.29 224 0.875 bicubic +6.255 +6.667 +2.265 +2.491 -6 +3
335 hrnet_w18 83.500 16.500 95.907 4.093 21.30 224 0.875 bilinear +6.742 +2.463 +5 +4
336 densenetblur121d 83.472 16.527 95.822 4.178 8.00 224 0.875 bicubic +6.885 +2.630 +9
337 selecsls42b 83.457 16.543 95.745 4.255 32.46 224 0.875 bicubic +6.283 +2.355 -9 -10
338 tf_efficientnet_lite1 83.344 16.656 95.642 4.358 5.42 240 0.882 bicubic +6.702 +2.416 +4
339 hardcorenas_c 83.342 16.658 95.706 4.294 5.52 224 0.875 bilinear +6.288 +2.548 -7 -8
340 regnetx_016 83.195 16.805 95.740 4.260 9.19 224 0.875 bicubic +6.245 +2.320 -6 -7
341 mobilenetv2_140 83.182 16.818 95.689 4.311 6.11 224 0.875 bicubic +6.666 +2.693 +7
342 dpn68 83.178 16.822 95.597 4.402 12.61 224 0.875 bicubic +6.860 +2.620 +8
343 tf_efficientnet_es 83.178 16.822 95.585 4.415 5.44 224 0.875 bicubic +6.584 +2.383 +1
344 tf_mixnet_m 83.176 16.824 95.461 4.539 5.01 224 0.875 bicubic +6.234 +2.309 -9 -10
345 ese_vovnet19b_dw 83.109 16.890 95.779 4.221 6.54 224 0.875 bicubic +6.311 +2.511 -6 -7
346 levit_128s 83.069 16.931 95.531 4.469 7.78 224 0.900 bicubic +6.539 +2.665 +1
347 resnet26d 83.050 16.950 95.604 4.396 16.01 224 0.875 bicubic +6.354 +2.454 -6 -7
348 repvgg_a2 83.001 16.999 95.589 4.411 28.21 224 0.875 bilinear +6.541 +2.585 +1
349 tv_resnet50 82.958 17.042 95.467 4.533 25.56 224 0.875 bilinear +6.820 +2.603 +3
350 hardcorenas_b 82.873 17.128 95.392 4.607 5.18 224 0.875 bilinear +6.335 +2.638 -4
351 densenet121 82.823 17.177 95.585 4.415 7.98 224 0.875 bicubic +7.245 +2.933 +8 +10
352 densenet169 vit_tiny_r_s16_p8_384 82.683 82.691 17.317 17.309 95.600 95.845 4.400 4.155 14.15 6.36 224 384 0.875 1.000 bicubic +6.776 +6.739 +2.574 +2.585 +3
353 mixnet_s densenet169 82.525 82.683 17.476 17.317 95.356 95.600 4.644 4.400 4.13 14.15 224 0.875 bicubic +6.532 +6.776 +2.560 +2.574 0 +4
354 regnety_008 mixnet_s 82.493 82.525 17.508 17.476 95.487 95.356 4.513 4.644 6.26 4.13 224 0.875 bicubic +6.177 +6.532 +2.421 +2.560 -3 -1
355 vit_small_patch32_224 82.514 17.486 95.670 4.330 22.88 224 0.900 bicubic +6.524 +2.398 -1
356 regnety_008 82.493 17.508 95.487 4.513 6.26 224 0.875 bicubic +6.177 +2.421 -5
357 efficientnet_lite0 82.382 17.619 95.279 4.721 4.65 224 0.875 bicubic +6.898 +2.769 +7
358 resnest14d 82.352 82.349 17.648 17.651 95.339 4.661 10.61 224 0.875 bilinear +6.846 +6.843 +2.821 +5
359 hardcorenas_a 82.313 17.687 95.294 4.706 5.26 224 0.875 bilinear +6.397 +2.780 -3
360 efficientnet_es_pruned 82.296 17.704 95.303 4.697 5.44 224 0.875 bicubic +7.296 +2.855 +14 +15
361 mobilenetv3_rw 82.275 17.725 95.234 4.766 5.48 224 0.875 bicubic +6.641 +2.526 -1
362 semnasnet_100 82.251 17.749 95.230 4.770 3.89 224 0.875 bicubic +6.803 +2.626 +3 +4
363 mobilenetv3_large_100 82.177 17.823 95.196 4.804 5.48 224 0.875 bicubic +6.410 +2.654 -5
364 resnet34 82.138 17.862 95.130 4.870 21.80 224 0.875 bilinear +7.028 +2.846 +7 +8
365 mobilenetv2_110d 82.070 17.930 95.076 4.923 4.52 224 0.875 bicubic +7.034 +2.890 +8 +9
366 tf_mixnet_s vit_tiny_patch16_224 82.038 82.066 17.962 17.934 95.121 95.489 4.879 4.511 4.13 5.72 224 0.875 0.900 bicubic +6.388 +6.612 +2.493 +2.641 -7 -1
367 tf_mixnet_s 82.038 17.962 95.121 4.879 4.13 224 0.875 bicubic +6.388 +2.493 -8
368 repvgg_b0 82.001 17.999 95.100 4.900 15.82 224 0.875 bilinear +6.849 +2.682 +1
369 vit_deit_tiny_distilled_patch16_224 deit_tiny_distilled_patch16_224 81.997 18.003 95.141 4.859 5.91 224 0.900 bicubic +7.487 +3.251 +14
370 mixer_b16_224 81.978 18.022 94.449 5.551 59.88 224 0.875 bicubic +5.376 +2.221 -24 -27
371 pit_ti_distilled_224 81.967 18.033 95.145 4.855 5.10 224 0.900 bicubic +7.437 +3.049 +11
372 hrnet_w18_small_v2 81.961 18.039 95.164 4.836 15.60 224 0.875 bilinear +6.847 +2.748 -1
373 tf_efficientnet_lite0 81.952 18.048 95.168 4.832 4.65 224 0.875 bicubic +7.122 +2.992 +3
374 resnet26 81.944 18.056 95.241 4.759 16.00 224 0.875 bicubic +6.652 +2.671 -7
375 tf_mobilenetv3_large_100 81.848 18.152 95.070 4.930 5.48 224 0.875 bilinear +6.330 +2.464 -12 -13
376 tv_densenet121 81.726 18.274 95.034 4.966 7.98 224 0.875 bicubic +6.988 +2.884 +2
377 regnety_006 81.700 18.300 95.115 4.885 6.06 224 0.875 bicubic +6.454 +2.583 -9
378 dla34 81.658 18.342 94.878 5.122 15.74 224 0.875 bilinear +7.028 +2.800 +2
396 mobilenetv2_100 80.257 19.743 94.195 5.805 3.50 224 0.875 bicubic +7.287 +3.179 -1
397 ssl_resnet18 80.101 19.899 94.590 5.410 11.69 224 0.875 bilinear +7.491 +3.174 0
398 tf_mobilenetv3_large_075 80.093 19.907 94.184 5.816 3.99 224 0.875 bilinear +6.655 +2.834 -9
399 vit_deit_tiny_patch16_224 deit_tiny_patch16_224 80.018 19.982 94.449 5.551 5.72 224 0.900 bicubic +7.850 +3.331 +4
400 hrnet_w18_small 79.557 20.443 93.898 6.102 13.19 224 0.875 bilinear +7.213 +7.215 +3.220 0
401 vgg19 79.480 20.520 93.870 6.130 143.67 224 0.875 bilinear +7.112 +2.998 -2
402 regnetx_004 79.435 20.565 93.853 6.147 5.16 224 0.875 bicubic +7.039 +3.023 -4
403 tf_mobilenetv3_large_minimal_100 79.222 20.778 93.706 6.294 3.92 224 0.875 bilinear +6.974 +3.076 -1
404 legacy_seresnet18 79.153 20.847 93.783 6.217 11.78 224 0.875 bicubic +7.411 +3.449 +1 +2
405 vgg16 79.038 20.962 93.646 6.354 138.36 224 0.875 bilinear +7.444 +3.264 +2 +3
406 vgg13_bn 79.006 20.994 93.655 6.345 133.05 224 0.875 bilinear +7.412 +3.279 0 +1
407 vit_tiny_r_s16_p8_224 78.991 21.009 93.902 6.098 6.34 224 0.900 bicubic +7.203 +3.074 -2
408 gluon_resnet18_v1b 78.372 21.628 93.138 6.862 11.69 224 0.875 bicubic +7.536 +3.376 +1
409 vgg11_bn 77.926 22.074 93.230 6.770 132.87 224 0.875 bilinear +7.566 +3.428 +1
410 regnety_002 77.405 22.595 92.914 7.086 3.16 224 0.875 bicubic +7.153 +3.374 +1
411 mixer_l16_224 77.285 22.715 90.582 9.418 208.20 224 0.875 bicubic +5.227 +2.914 -6 -7
412 resnet18 77.276 22.724 92.756 7.244 11.69 224 0.875 bilinear +7.528 +3.678 +1
413 vgg13 77.230 22.770 92.689 7.311 133.05 224 0.875 bilinear +7.303 +3.444 -1
414 vgg11 76.384 23.616 92.154 7.846 132.86 224 0.875 bilinear +7.360 +3.526 0
417 tf_mobilenetv3_small_100 74.717 25.283 91.257 8.743 2.54 224 0.875 bilinear +6.795 +3.593 -1
418 dla46x_c 73.647 26.353 91.095 8.905 1.07 224 0.875 bilinear +7.677 +4.115 0
419 tf_mobilenetv3_small_075 72.812 27.188 90.036 9.964 2.04 224 0.875 bilinear +7.096 +3.906 0
420 dla46_c 72.601 27.399 90.499 9.501 1.30 224 0.875 bilinear +7.737 +7.735 +4.207 0
421 tf_mobilenetv3_small_minimal_100 70.111 29.889 88.505 11.495 2.04 224 0.875 bilinear +7.205 +4.275 0

@ -2,119 +2,130 @@ model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation
tf_efficientnet_l2_ns,88.352,11.648,98.650,1.350,480.31,800,0.960,bicubic
tf_efficientnet_l2_ns_475,88.234,11.766,98.546,1.454,480.31,475,0.936,bicubic
swin_large_patch4_window12_384,87.148,12.852,98.234,1.766,196.74,384,1.000,bicubic
vit_large_patch16_384,87.080,12.920,98.300,1.700,304.72,384,1.000,bicubic
tf_efficientnet_b7_ns,86.840,13.160,98.094,1.906,66.35,600,0.949,bicubic
cait_m48_448,86.484,13.516,97.754,2.246,356.46,448,1.000,bicubic
tf_efficientnet_b6_ns,86.452,13.548,97.882,2.118,43.04,528,0.942,bicubic
swin_base_patch4_window12_384,86.432,13.568,98.058,1.942,87.90,384,1.000,bicubic
swin_large_patch4_window7_224,86.320,13.680,97.896,2.104,196.53,224,0.900,bicubic
tf_efficientnetv2_l_in21ft1k,86.304,13.696,97.978,2.022,118.52,480,1.000,bicubic
dm_nfnet_f6,86.296,13.704,97.744,2.256,438.36,576,0.956,bicubic
vit_large_r50_s32_384,86.184,13.816,97.918,2.082,329.09,384,1.000,bicubic
dm_nfnet_f6,86.144,13.856,97.730,2.270,438.36,576,0.956,bicubic
tf_efficientnet_b5_ns,86.088,13.912,97.752,2.248,30.39,456,0.934,bicubic
cait_m36_384,86.054,13.946,97.730,2.270,271.22,384,1.000,bicubic
dm_nfnet_f5,85.714,14.286,97.442,2.558,377.21,544,0.954,bicubic
dm_nfnet_f4,85.658,14.342,97.510,2.490,316.07,512,0.951,bicubic
vit_base_patch16_384,86.006,13.994,98.000,2.000,86.86,384,1.000,bicubic
vit_large_patch16_224,85.842,14.158,97.824,2.176,304.33,224,0.900,bicubic
dm_nfnet_f5,85.814,14.186,97.488,2.512,377.21,544,0.954,bicubic
dm_nfnet_f4,85.714,14.286,97.520,2.480,316.07,512,0.951,bicubic
tf_efficientnetv2_m_in21ft1k,85.588,14.412,97.752,2.248,54.14,480,1.000,bicubic
dm_nfnet_f3,85.560,14.440,97.406,2.594,254.92,416,0.940,bicubic
dm_nfnet_f3,85.522,14.478,97.462,2.538,254.92,416,0.940,bicubic
tf_efficientnetv2_l,85.490,14.510,97.372,2.628,118.52,480,1.000,bicubic
cait_s36_384,85.460,14.540,97.480,2.520,68.37,384,1.000,bicubic
ig_resnext101_32x48d,85.428,14.572,97.572,2.428,828.41,224,0.875,bilinear
vit_deit_base_distilled_patch16_384,85.422,14.578,97.332,2.668,87.63,384,1.000,bicubic
deit_base_distilled_patch16_384,85.422,14.578,97.332,2.668,87.63,384,1.000,bicubic
tf_efficientnet_b8,85.370,14.630,97.390,2.610,87.41,672,0.954,bicubic
tf_efficientnet_b8_ap,85.370,14.630,97.294,2.706,87.41,672,0.954,bicubic
swin_base_patch4_window7_224,85.252,14.748,97.562,2.438,87.77,224,0.900,bicubic
tf_efficientnet_b4_ns,85.162,14.838,97.470,2.530,19.34,380,0.922,bicubic
vit_large_patch16_384,85.158,14.842,97.356,2.644,304.72,384,1.000,bicubic
tf_efficientnet_b7_ap,85.120,14.880,97.252,2.748,66.35,600,0.949,bicubic
ig_resnext101_32x32d,85.094,14.906,97.438,2.562,468.53,224,0.875,bilinear
dm_nfnet_f2,85.064,14.936,97.240,2.760,193.78,352,0.920,bicubic
cait_s24_384,85.046,14.954,97.346,2.654,47.06,384,1.000,bicubic
tf_efficientnetv2_m,85.044,14.956,97.278,2.722,54.14,480,1.000,bicubic
resnetrs420,85.008,14.992,97.124,2.876,191.89,416,1.000,bicubic
dm_nfnet_f2,84.990,15.010,97.144,2.856,193.78,352,0.920,bicubic
ecaresnet269d,84.976,15.024,97.226,2.774,102.09,352,1.000,bicubic
vit_base_r50_s16_384,84.972,15.028,97.288,2.712,98.95,384,1.000,bicubic
tf_efficientnet_b7,84.936,15.064,97.204,2.796,66.35,600,0.949,bicubic
resnetv2_152x4_bitm,84.932,15.068,97.436,2.564,936.53,480,1.000,bilinear
resnetv2_152x4_bitm,84.916,15.084,97.442,2.558,936.53,480,1.000,bilinear
efficientnetv2_rw_m,84.808,15.192,97.148,2.852,53.24,416,1.000,bicubic
tf_efficientnet_b6_ap,84.788,15.212,97.138,2.862,43.04,528,0.942,bicubic
resnetrs350,84.720,15.280,96.988,3.012,163.96,384,1.000,bicubic
dm_nfnet_f1,84.604,15.396,97.068,2.932,132.63,320,0.910,bicubic
eca_nfnet_l2,84.698,15.302,97.264,2.736,56.72,384,1.000,bicubic
dm_nfnet_f1,84.626,15.374,97.100,2.900,132.63,320,0.910,bicubic
vit_base_patch16_224,84.532,15.468,97.294,2.706,86.57,224,0.900,bicubic
resnest269e,84.518,15.482,96.986,3.014,110.93,416,0.928,bicubic
resnetv2_152x2_bitm,84.440,15.560,97.446,2.554,236.34,480,1.000,bilinear
resnetv2_152x2_bitm,84.510,15.490,97.432,2.568,236.34,448,1.000,bilinear
resnetv2_101x3_bitm,84.440,15.560,97.382,2.618,387.93,448,1.000,bilinear
resnetrs270,84.434,15.566,96.970,3.030,129.86,352,1.000,bicubic
resnetv2_101x3_bitm,84.394,15.606,97.362,2.638,387.93,480,1.000,bilinear
vit_large_r50_s32_224,84.434,15.566,97.164,2.836,328.99,224,0.900,bicubic
resmlp_big_24_224_in22ft1k,84.394,15.606,97.120,2.880,129.14,224,0.875,bicubic
seresnet152d,84.362,15.638,97.040,2.960,66.84,320,1.000,bicubic
tf_efficientnetv2_s_in21ft1k,84.302,15.698,97.252,2.748,21.46,384,1.000,bicubic
swsl_resnext101_32x8d,84.284,15.716,97.176,2.824,88.79,224,0.875,bilinear
vit_base_patch16_224_miil,84.268,15.732,96.802,3.198,86.54,224,0.875,bilinear
tf_efficientnet_b5_ap,84.252,15.748,96.974,3.026,30.39,456,0.934,bicubic
vit_base_patch16_384,84.210,15.790,97.218,2.782,86.86,384,1.000,bicubic
ig_resnext101_32x16d,84.170,15.830,97.196,2.804,194.03,224,0.875,bilinear
pit_b_distilled_224,84.144,15.856,96.856,3.144,74.79,224,0.900,bicubic
tf_efficientnet_b6,84.110,15.890,96.886,3.114,43.04,528,0.942,bicubic
resnetrs200,84.066,15.934,96.874,3.126,93.21,320,1.000,bicubic
cait_xs24_384,84.062,15.938,96.888,3.112,26.67,384,1.000,bicubic
tf_efficientnet_b3_ns,84.048,15.952,96.910,3.090,12.23,300,0.904,bicubic
eca_nfnet_l1,84.008,15.992,97.028,2.972,41.41,320,1.000,bicubic
vit_small_r26_s32_384,84.046,15.954,97.328,2.672,36.47,384,1.000,bicubic
resnetv2_50x3_bitm,84.014,15.986,97.124,2.876,217.32,448,1.000,bilinear
eca_nfnet_l1,84.010,15.990,97.028,2.972,41.41,320,1.000,bicubic
resnet200d,83.962,16.038,96.824,3.176,64.69,320,1.000,bicubic
tf_efficientnetv2_s,83.894,16.106,96.698,3.302,21.46,384,1.000,bicubic
resnetv2_152x2_bit_teacher_384,83.844,16.156,97.118,2.882,236.34,384,1.000,bicubic
resnest200e,83.832,16.168,96.894,3.106,70.20,320,0.909,bicubic
tf_efficientnet_b5,83.812,16.188,96.748,3.252,30.39,456,0.934,bicubic
efficientnetv2_rw_s,83.808,16.192,96.724,3.276,23.94,384,1.000,bicubic
resnetv2_50x3_bitm,83.784,16.216,97.106,2.894,217.32,480,1.000,bilinear
vit_small_patch16_384,83.802,16.198,97.102,2.898,22.20,384,1.000,bicubic
resnetrs152,83.712,16.288,96.614,3.386,86.62,320,1.000,bicubic
regnety_160,83.686,16.314,96.776,3.224,83.59,288,1.000,bicubic
resnet152d,83.680,16.320,96.738,3.262,60.21,320,1.000,bicubic
twins_svt_large,83.678,16.322,96.594,3.406,99.27,224,0.900,bicubic
resmlp_big_24_distilled_224,83.590,16.410,96.648,3.352,129.14,224,0.875,bicubic
cait_s24_224,83.452,16.548,96.564,3.436,46.92,224,1.000,bicubic
efficientnet_b4,83.428,16.572,96.596,3.404,19.34,384,1.000,bicubic
vit_deit_base_distilled_patch16_224,83.388,16.612,96.488,3.512,87.34,224,0.900,bicubic
deit_base_distilled_patch16_224,83.388,16.612,96.488,3.512,87.34,224,0.900,bicubic
dm_nfnet_f0,83.386,16.614,96.572,3.428,71.49,256,0.900,bicubic
vit_base_patch32_384,83.350,16.650,96.836,3.164,88.30,384,1.000,bicubic
swsl_resnext101_32x16d,83.346,16.654,96.846,3.154,194.03,224,0.875,bilinear
dm_nfnet_f0,83.342,16.658,96.560,3.440,71.49,256,0.900,bicubic
tf_efficientnet_b4_ap,83.248,16.752,96.392,3.608,19.34,380,0.922,bicubic
swsl_resnext101_32x4d,83.230,16.770,96.760,3.240,44.18,224,0.875,bilinear
swin_small_patch4_window7_224,83.212,16.788,96.322,3.678,49.61,224,0.900,bicubic
twins_pcpvt_large,83.140,16.860,96.598,3.402,60.99,224,0.900,bicubic
twins_svt_base,83.136,16.864,96.418,3.582,56.07,224,0.900,bicubic
vit_deit_base_patch16_384,83.106,16.894,96.372,3.628,86.86,384,1.000,bicubic
deit_base_patch16_384,83.106,16.894,96.372,3.628,86.86,384,1.000,bicubic
tresnet_m,83.080,16.920,96.118,3.882,31.39,224,0.875,bilinear
vit_large_patch16_224,83.062,16.938,96.438,3.562,304.33,224,0.900,bicubic
tresnet_xl_448,83.050,16.950,96.174,3.826,78.44,448,0.875,bilinear
resnet101d,83.022,16.978,96.446,3.554,44.57,320,1.000,bicubic
tf_efficientnet_b4,83.022,16.978,96.300,3.700,19.34,380,0.922,bicubic
resnest101e,82.890,17.110,96.320,3.680,48.28,256,0.875,bilinear
resnetv2_152x2_bit_teacher,82.862,17.138,96.568,3.432,236.34,224,0.875,bicubic
resnetv2_50x1_bit_distilled,82.818,17.182,96.522,3.478,25.55,224,0.875,bicubic
pnasnet5large,82.782,17.218,96.040,3.960,86.06,331,0.911,bicubic
nfnet_l0,82.760,17.240,96.498,3.502,35.07,288,1.000,bicubic
nfnet_l0,82.750,17.250,96.516,3.484,35.07,288,1.000,bicubic
regnety_032,82.724,17.276,96.424,3.576,19.44,288,1.000,bicubic
twins_pcpvt_base,82.708,17.292,96.346,3.654,43.83,224,0.900,bicubic
ig_resnext101_32x8d,82.688,17.312,96.636,3.364,88.79,224,0.875,bilinear
nasnetalarge,82.620,17.380,96.046,3.954,88.75,331,0.911,bicubic
eca_nfnet_l0,82.588,17.412,96.474,3.526,24.14,288,1.000,bicubic
levit_384,82.586,17.414,96.016,3.984,39.13,224,0.900,bicubic
eca_nfnet_l0,82.580,17.420,96.490,3.510,24.14,288,1.000,bicubic
pit_b_224,82.446,17.554,95.710,4.290,73.76,224,0.900,bicubic
tf_efficientnet_b2_ns,82.380,17.620,96.248,3.752,9.11,260,0.890,bicubic
resnet51q,82.360,17.640,96.180,3.820,35.70,288,1.000,bilinear
ecaresnet50t,82.346,17.654,96.138,3.862,25.57,320,0.950,bicubic
resnetv2_101x1_bitm,82.332,17.668,96.518,3.482,44.54,448,1.000,bilinear
coat_lite_small,82.308,17.692,95.850,4.150,19.84,224,0.900,bicubic
mixer_b16_224_miil,82.308,17.692,95.716,4.284,59.88,224,0.875,bilinear
convit_base,82.290,17.710,95.938,4.062,86.54,224,0.875,bicubic
resnetrs101,82.288,17.712,96.008,3.992,63.62,288,0.940,bicubic
tresnet_l_448,82.268,17.732,95.976,4.024,55.99,448,0.875,bilinear
efficientnet_b3,82.242,17.758,96.114,3.886,12.23,320,1.000,bicubic
resnetv2_101x1_bitm,82.212,17.788,96.472,3.528,44.54,480,1.000,bilinear
cait_xxs36_384,82.194,17.806,96.148,3.852,17.37,384,1.000,bicubic
swsl_resnext50_32x4d,82.182,17.818,96.230,3.770,25.03,224,0.875,bilinear
ecaresnet101d,82.172,17.828,96.046,3.954,44.57,224,0.875,bicubic
visformer_small,82.106,17.894,95.872,4.128,40.22,224,0.900,bicubic
tresnet_xl,82.054,17.946,95.936,4.064,78.44,224,0.875,bilinear
vit_deit_base_patch16_224,81.998,18.002,95.734,4.266,86.57,224,0.900,bicubic
deit_base_patch16_224,81.998,18.002,95.734,4.266,86.57,224,0.900,bicubic
pit_s_distilled_224,81.996,18.004,95.798,4.202,24.04,224,0.900,bicubic
tf_efficientnetv2_b3,81.970,18.030,95.782,4.218,14.36,300,0.904,bicubic
vit_small_r26_s32_224,81.858,18.142,96.022,3.978,36.43,224,0.900,bicubic
ssl_resnext101_32x16d,81.844,18.156,96.096,3.904,194.03,224,0.875,bilinear
tf_efficientnet_b3_ap,81.822,18.178,95.624,4.376,12.23,300,0.904,bicubic
vit_base_patch16_224,81.786,18.214,96.122,3.878,86.57,224,0.900,bicubic
tresnet_m_448,81.714,18.286,95.572,4.428,31.39,448,0.875,bilinear
twins_svt_small,81.682,18.318,95.670,4.330,24.06,224,0.900,bicubic
vit_base_patch32_384,81.652,18.348,96.128,3.872,88.30,384,1.000,bicubic
tf_efficientnet_b3,81.636,18.364,95.718,4.282,12.23,300,0.904,bicubic
rexnet_200,81.632,18.368,95.668,4.332,16.37,224,0.875,bicubic
ssl_resnext101_32x8d,81.616,18.384,96.038,3.962,88.79,224,0.875,bilinear
@ -125,6 +136,7 @@ vit_large_patch32_384,81.506,18.494,96.092,3.908,306.63,384,1.000,bicubic
tresnet_l,81.490,18.510,95.624,4.376,55.99,224,0.875,bilinear
wide_resnet50_2,81.456,18.544,95.532,4.468,68.88,224,0.875,bicubic
convit_small,81.426,18.574,95.744,4.256,27.78,224,0.875,bicubic
vit_small_patch16_224,81.402,18.598,96.134,3.866,22.05,224,0.900,bicubic
tf_efficientnet_b1_ns,81.388,18.612,95.738,4.262,7.79,240,0.882,bicubic
swin_tiny_patch4_window7_224,81.378,18.622,95.540,4.460,28.29,224,0.900,bicubic
gernet_l,81.354,18.646,95.536,4.464,31.08,256,0.875,bilinear
@ -133,11 +145,13 @@ legacy_senet154,81.310,18.690,95.496,4.504,115.09,224,0.875,bilinear
coat_mini,81.268,18.732,95.392,4.608,10.34,224,0.900,bicubic
seresnext50_32x4d,81.266,18.734,95.620,4.380,27.56,224,0.875,bicubic
gluon_senet154,81.234,18.766,95.348,4.652,115.09,224,0.875,bicubic
vit_deit_small_distilled_patch16_224,81.200,18.800,95.378,4.622,22.44,224,0.900,bicubic
deit_small_distilled_patch16_224,81.200,18.800,95.378,4.622,22.44,224,0.900,bicubic
swsl_resnet50,81.166,18.834,95.972,4.028,25.56,224,0.875,bilinear
resmlp_36_distilled_224,81.160,18.840,95.488,4.512,44.69,224,0.875,bicubic
resnest50d_4s2x40d,81.108,18.892,95.558,4.442,30.42,224,0.875,bicubic
pit_s_224,81.094,18.906,95.332,4.668,23.46,224,0.900,bicubic
twins_pcpvt_small,81.088,18.912,95.642,4.358,24.11,224,0.900,bicubic
resmlp_big_24_224,81.028,18.972,95.022,4.978,129.14,224,0.875,bicubic
gluon_resnet152_v1s,81.016,18.984,95.412,4.588,60.32,224,0.875,bicubic
resnest50d_1s4x24d,80.988,19.012,95.322,4.678,25.68,224,0.875,bicubic
resnest50d,80.974,19.026,95.378,4.622,27.48,224,0.875,bilinear
@ -148,32 +162,35 @@ gluon_seresnext101_64x4d,80.894,19.106,95.308,4.692,88.23,224,0.875,bicubic
efficientnet_b3_pruned,80.858,19.142,95.242,4.758,9.86,300,0.904,bicubic
ecaresnet101d_pruned,80.818,19.182,95.628,4.372,24.88,224,0.875,bicubic
regnety_320,80.812,19.188,95.244,4.756,145.05,224,0.875,bicubic
resmlp_24_distilled_224,80.766,19.234,95.218,4.782,30.02,224,0.875,bicubic
gernet_m,80.732,19.268,95.184,4.816,21.14,224,0.875,bilinear
nf_resnet50,80.694,19.306,95.356,4.644,25.56,288,0.940,bicubic
vit_base_patch32_224,80.724,19.276,95.568,4.432,88.22,224,0.900,bicubic
nf_resnet50,80.660,19.340,95.336,4.664,25.56,288,0.940,bicubic
efficientnet_b2,80.612,19.388,95.318,4.682,9.11,288,1.000,bicubic
gluon_resnext101_64x4d,80.604,19.396,94.988,5.012,83.46,224,0.875,bicubic
ecaresnet50d,80.592,19.408,95.320,4.680,25.58,224,0.875,bicubic
resnet50d,80.530,19.470,95.160,4.840,25.58,224,0.875,bicubic
repvgg_b3,80.492,19.508,95.260,4.740,123.09,224,0.875,bilinear
vit_small_patch32_384,80.480,19.520,95.598,4.402,22.92,384,1.000,bicubic
mixnet_xl,80.476,19.524,94.936,5.064,11.90,224,0.875,bicubic
gluon_resnet152_v1d,80.474,19.526,95.206,4.794,60.21,224,0.875,bicubic
ecaresnetlight,80.462,19.538,95.250,4.750,30.16,224,0.875,bicubic
inception_resnet_v2,80.458,19.542,95.306,4.694,55.84,299,0.897,bicubic
gluon_resnet101_v1d,80.414,19.586,95.014,4.986,44.57,224,0.875,bicubic
regnety_120,80.366,19.634,95.126,4.874,51.82,224,0.875,bicubic
resnetv2_50x1_bitm,80.342,19.658,95.684,4.316,25.55,448,1.000,bilinear
gluon_resnext101_32x4d,80.334,19.666,94.926,5.074,44.18,224,0.875,bicubic
ssl_resnext50_32x4d,80.318,19.682,95.406,4.594,25.03,224,0.875,bilinear
rexnet_150,80.310,19.690,95.166,4.834,9.73,224,0.875,bicubic
gluon_resnet101_v1s,80.302,19.698,95.160,4.840,44.67,224,0.875,bicubic
efficientnet_el_pruned,80.300,19.700,95.218,4.782,10.59,300,0.904,bicubic
tf_efficientnet_b2_ap,80.300,19.700,95.028,4.972,9.11,260,0.890,bicubic
efficientnet_el_pruned,80.300,19.700,95.218,4.782,10.59,300,0.904,bicubic
seresnet50,80.274,19.726,95.070,4.930,28.09,224,0.875,bicubic
tf_efficientnet_el,80.250,19.750,95.128,4.872,10.59,300,0.904,bicubic
regnetx_320,80.246,19.754,95.026,4.974,107.81,224,0.875,bicubic
legacy_seresnext101_32x4d,80.228,19.772,95.018,4.982,48.96,224,0.875,bilinear
repvgg_b3g4,80.214,19.786,95.110,4.890,83.83,224,0.875,bilinear
repvgg_b3g4,80.212,19.788,95.110,4.890,83.83,224,0.875,bilinear
tf_efficientnetv2_b2,80.208,19.792,95.042,4.958,10.10,260,0.890,bicubic
resnetv2_50x1_bitm,80.172,19.828,95.626,4.374,25.55,480,1.000,bilinear
inception_v4,80.168,19.832,94.968,5.032,42.68,299,0.875,bicubic
dpn107,80.156,19.844,94.910,5.090,86.92,224,0.875,bicubic
skresnext50_32x4d,80.156,19.844,94.642,5.358,27.48,224,0.875,bicubic
@ -181,19 +198,20 @@ tf_efficientnet_b2,80.086,19.914,94.908,5.092,9.11,260,0.890,bicubic
cspdarknet53,80.058,19.942,95.084,4.916,27.64,256,0.887,bilinear
cspresnext50,80.040,19.960,94.944,5.056,20.57,224,0.875,bilinear
dpn92,80.008,19.992,94.836,5.164,37.67,224,0.875,bicubic
ens_adv_inception_resnet_v2,79.982,20.018,94.936,5.064,55.84,299,0.897,bicubic
ens_adv_inception_resnet_v2,79.982,20.018,94.938,5.062,55.84,299,0.897,bicubic
gluon_seresnext50_32x4d,79.918,20.082,94.822,5.178,27.56,224,0.875,bicubic
efficientnet_b2_pruned,79.916,20.084,94.856,5.144,8.31,260,0.890,bicubic
gluon_resnet152_v1c,79.910,20.090,94.840,5.160,60.21,224,0.875,bicubic
resnetrs50,79.892,20.108,94.968,5.032,35.69,224,0.910,bicubic
regnety_080,79.876,20.124,94.830,5.170,39.18,224,0.875,bicubic
xception71,79.874,20.126,94.922,5.078,42.34,299,0.903,bicubic
deit_small_patch16_224,79.856,20.144,95.052,4.948,22.05,224,0.900,bicubic
regnetx_160,79.856,20.144,94.830,5.170,54.28,224,0.875,bicubic
vit_deit_small_patch16_224,79.856,20.144,95.052,4.948,22.05,224,0.900,bicubic
ecaresnet26t,79.854,20.146,95.084,4.916,16.01,320,0.950,bicubic
levit_192,79.842,20.158,94.786,5.214,10.95,224,0.900,bicubic
dpn131,79.822,20.178,94.710,5.290,79.25,224,0.875,bicubic
tf_efficientnet_lite3,79.820,20.180,94.914,5.086,8.20,300,0.904,bilinear
resmlp_36_224,79.770,20.230,94.886,5.114,44.69,224,0.875,bicubic
resnext50_32x4d,79.768,20.232,94.598,5.402,25.03,224,0.875,bicubic
cait_xxs36_224,79.750,20.250,94.866,5.134,17.30,224,1.000,bicubic
regnety_064,79.722,20.278,94.768,5.232,30.58,224,0.875,bicubic
@ -210,15 +228,16 @@ rexnet_130,79.500,20.500,94.682,5.318,7.56,224,0.875,bicubic
hrnet_w64,79.474,20.526,94.652,5.348,128.06,224,0.875,bilinear
tf_efficientnetv2_b1,79.462,20.538,94.722,5.278,8.14,240,0.882,bicubic
dla102x2,79.448,20.552,94.640,5.360,41.28,224,0.875,bilinear
resmlp_24_224,79.374,20.626,94.546,5.454,30.02,224,0.875,bicubic
repvgg_b2g4,79.366,20.634,94.688,5.312,61.76,224,0.875,bilinear
gluon_resnext50_32x4d,79.354,20.646,94.426,5.574,25.03,224,0.875,bicubic
ese_vovnet39b,79.320,20.680,94.712,5.288,24.57,224,0.875,bicubic
resnext101_32x8d,79.308,20.692,94.518,5.482,88.79,224,0.875,bilinear
tf_efficientnet_cc_b1_8e,79.308,20.692,94.370,5.630,39.72,240,0.882,bicubic
gluon_resnet101_v1b,79.306,20.694,94.524,5.476,44.55,224,0.875,bicubic
nf_regnet_b1,79.306,20.694,94.748,5.252,10.22,288,0.900,bicubic
pit_xs_distilled_224,79.306,20.694,94.364,5.636,11.00,224,0.900,bicubic
hrnet_w48,79.300,20.700,94.512,5.488,77.47,224,0.875,bilinear
nf_regnet_b1,79.292,20.708,94.748,5.252,10.22,288,0.900,bicubic
resnetblur50,79.286,20.714,94.638,5.362,25.56,224,0.875,bicubic
tf_efficientnet_b1_ap,79.280,20.720,94.306,5.694,7.79,240,0.882,bicubic
efficientnet_em,79.252,20.748,94.794,5.206,6.90,240,0.882,bicubic
@ -243,7 +262,7 @@ gluon_inception_v3,78.806,21.194,94.370,5.630,23.83,299,0.875,bicubic
efficientnet_b1,78.794,21.206,94.342,5.658,7.79,256,1.000,bicubic
repvgg_b2,78.792,21.208,94.414,5.586,89.02,224,0.875,bilinear
tf_mixnet_l,78.774,21.226,93.998,6.002,7.33,224,0.875,bicubic
gluon_resnet50_v1s,78.710,21.290,94.238,5.762,25.68,224,0.875,bicubic
gluon_resnet50_v1s,78.712,21.288,94.238,5.762,25.68,224,0.875,bicubic
dla169,78.688,21.312,94.336,5.664,53.39,224,0.875,bilinear
legacy_seresnet152,78.660,21.340,94.370,5.630,66.82,224,0.875,bilinear
tf_efficientnet_b0_ns,78.658,21.342,94.376,5.624,5.29,224,0.875,bicubic
@ -257,6 +276,7 @@ dla60_res2net,78.464,21.536,94.206,5.794,20.85,224,0.875,bilinear
hrnet_w32,78.450,21.550,94.186,5.814,41.23,224,0.875,bilinear
dla60_res2next,78.440,21.560,94.152,5.848,17.03,224,0.875,bilinear
coat_tiny,78.434,21.566,94.038,5.962,5.50,224,0.900,bicubic
vit_tiny_patch16_384,78.430,21.570,94.542,5.458,5.79,384,1.000,bicubic
selecsls60b,78.412,21.588,94.174,5.826,32.77,224,0.875,bicubic
cait_xxs24_224,78.386,21.614,94.310,5.690,11.96,224,1.000,bicubic
legacy_seresnet101,78.382,21.618,94.264,5.736,49.33,224,0.875,bilinear
@ -273,16 +293,17 @@ res2net50_14w_8s,78.150,21.850,93.848,6.152,25.06,224,0.875,bilinear
tf_efficientnet_em,78.130,21.870,94.044,5.956,6.90,240,0.882,bicubic
hardcorenas_f,78.104,21.896,93.802,6.198,8.20,224,0.875,bilinear
efficientnet_es,78.066,21.934,93.926,6.074,5.44,224,0.875,bicubic
gmixer_24_224,78.036,21.964,93.664,6.336,24.72,224,0.875,bicubic
dla102,78.032,21.968,93.946,6.054,33.27,224,0.875,bilinear
gluon_resnet50_v1c,78.012,21.988,93.988,6.012,25.58,224,0.875,bicubic
seresnext26t_32x4d,77.986,22.014,93.746,6.254,16.81,224,0.875,bicubic
selecsls60,77.982,22.018,93.828,6.172,30.67,224,0.875,bicubic
res2net50_26w_4s,77.964,22.036,93.854,6.146,25.70,224,0.875,bilinear
resmlp_12_distilled_224,77.944,22.056,93.558,6.442,15.35,224,0.875,bicubic
mobilenetv3_large_100_miil,77.916,22.084,92.910,7.090,5.48,224,0.875,bilinear
tf_efficientnet_cc_b0_8e,77.908,22.092,93.654,6.346,24.01,224,0.875,bicubic
regnety_016,77.862,22.138,93.720,6.280,11.20,224,0.875,bicubic
tf_inception_v3,77.858,22.142,93.640,6.360,23.83,299,0.875,bicubic
vit_small_patch16_224,77.858,22.142,93.416,6.584,48.75,224,0.900,bicubic
tf_inception_v3,77.862,22.138,93.640,6.360,23.83,299,0.875,bicubic
rexnet_100,77.858,22.142,93.870,6.130,4.80,224,0.875,bicubic
hardcorenas_e,77.794,22.206,93.694,6.306,8.07,224,0.875,bilinear
efficientnet_b0,77.698,22.302,93.532,6.468,5.29,224,0.875,bicubic
@ -295,7 +316,7 @@ gluon_resnet50_v1b,77.580,22.420,93.716,6.284,25.56,224,0.875,bicubic
res2net50_48w_2s,77.522,22.478,93.554,6.446,25.29,224,0.875,bilinear
coat_lite_tiny,77.512,22.488,93.916,6.084,5.72,224,0.900,bicubic
tf_efficientnet_lite2,77.468,22.532,93.754,6.246,6.09,260,0.890,bicubic
inception_v3,77.438,22.562,93.476,6.524,23.83,299,0.875,bicubic
inception_v3,77.438,22.562,93.474,6.526,23.83,299,0.875,bicubic
hardcorenas_d,77.432,22.568,93.484,6.516,7.50,224,0.875,bilinear
tv_resnet101,77.374,22.626,93.540,6.460,44.55,224,0.875,bilinear
densenet161,77.358,22.642,93.638,6.362,28.68,224,0.875,bicubic
@ -317,6 +338,7 @@ tf_efficientnet_b0,76.848,23.152,93.228,6.772,5.29,224,0.875,bicubic
ese_vovnet19b_dw,76.798,23.202,93.268,6.732,6.54,224,0.875,bicubic
hrnet_w18,76.758,23.242,93.444,6.556,21.30,224,0.875,bilinear
resnet26d,76.696,23.304,93.150,6.850,16.01,224,0.875,bicubic
resmlp_12_224,76.654,23.346,93.180,6.820,15.35,224,0.875,bicubic
tf_efficientnet_lite1,76.642,23.358,93.226,6.774,5.42,240,0.882,bicubic
mixer_b16_224,76.602,23.398,92.228,7.772,59.88,224,0.875,bicubic
tf_efficientnet_es,76.594,23.406,93.202,6.798,5.44,224,0.875,bicubic
@ -329,6 +351,8 @@ dpn68,76.318,23.682,92.978,7.022,12.61,224,0.875,bicubic
regnety_008,76.316,23.684,93.066,6.934,6.26,224,0.875,bicubic
tv_resnet50,76.138,23.862,92.864,7.136,25.56,224,0.875,bilinear
mixnet_s,75.992,24.008,92.796,7.204,4.13,224,0.875,bicubic
vit_small_patch32_224,75.990,24.010,93.272,6.728,22.88,224,0.900,bicubic
vit_tiny_r_s16_p8_384,75.952,24.048,93.260,6.740,6.36,384,1.000,bicubic
hardcorenas_a,75.916,24.084,92.514,7.486,5.26,224,0.875,bilinear
densenet169,75.906,24.094,93.026,6.974,14.15,224,0.875,bicubic
mobilenetv3_large_100,75.766,24.234,92.542,7.458,5.48,224,0.875,bicubic
@ -338,6 +362,7 @@ densenet121,75.578,24.422,92.652,7.348,7.98,224,0.875,bicubic
tf_mobilenetv3_large_100,75.518,24.482,92.606,7.394,5.48,224,0.875,bilinear
resnest14d,75.506,24.494,92.518,7.482,10.61,224,0.875,bilinear
efficientnet_lite0,75.484,24.516,92.510,7.490,4.65,224,0.875,bicubic
vit_tiny_patch16_224,75.454,24.546,92.848,7.152,5.72,224,0.900,bicubic
semnasnet_100,75.448,24.552,92.604,7.396,3.89,224,0.875,bicubic
resnet26,75.292,24.708,92.570,7.430,16.00,224,0.875,bicubic
regnety_006,75.246,24.754,92.532,7.468,6.06,224,0.875,bicubic
@ -355,7 +380,7 @@ mnasnet_100,74.658,25.342,92.114,7.886,4.38,224,0.875,bicubic
dla34,74.630,25.370,92.078,7.922,15.74,224,0.875,bilinear
gluon_resnet34_v1b,74.588,25.412,91.990,8.010,21.80,224,0.875,bicubic
pit_ti_distilled_224,74.530,25.470,92.096,7.904,5.10,224,0.900,bicubic
vit_deit_tiny_distilled_patch16_224,74.510,25.490,91.890,8.110,5.91,224,0.900,bicubic
deit_tiny_distilled_patch16_224,74.510,25.490,91.890,8.110,5.91,224,0.900,bicubic
vgg19_bn,74.214,25.786,91.842,8.158,143.68,224,0.875,bilinear
spnasnet_100,74.084,25.916,91.818,8.182,4.42,224,0.875,bilinear
regnety_004,74.034,25.966,91.752,8.248,4.34,224,0.875,bicubic
@ -372,11 +397,12 @@ pit_ti_224,72.912,27.088,91.402,8.598,4.85,224,0.900,bicubic
ssl_resnet18,72.610,27.390,91.416,8.584,11.69,224,0.875,bilinear
regnetx_004,72.396,27.604,90.830,9.170,5.16,224,0.875,bicubic
vgg19,72.368,27.632,90.872,9.128,143.67,224,0.875,bilinear
hrnet_w18_small,72.344,27.656,90.678,9.322,13.19,224,0.875,bilinear
hrnet_w18_small,72.342,27.658,90.678,9.322,13.19,224,0.875,bilinear
resnet18d,72.260,27.740,90.696,9.304,11.71,224,0.875,bicubic
tf_mobilenetv3_large_minimal_100,72.248,27.752,90.630,9.370,3.92,224,0.875,bilinear
vit_deit_tiny_patch16_224,72.168,27.832,91.118,8.882,5.72,224,0.900,bicubic
deit_tiny_patch16_224,72.168,27.832,91.118,8.882,5.72,224,0.900,bicubic
mixer_l16_224,72.058,27.942,87.668,12.332,208.20,224,0.875,bicubic
vit_tiny_r_s16_p8_224,71.788,28.212,90.828,9.172,6.34,224,0.900,bicubic
legacy_seresnet18,71.742,28.258,90.334,9.666,11.78,224,0.875,bicubic
vgg13_bn,71.594,28.406,90.376,9.624,133.05,224,0.875,bilinear
vgg16,71.594,28.406,90.382,9.618,138.36,224,0.875,bilinear
@ -391,5 +417,5 @@ tf_mobilenetv3_small_100,67.922,32.078,87.664,12.336,2.54,224,0.875,bilinear
dla60x_c,67.892,32.108,88.426,11.574,1.32,224,0.875,bilinear
dla46x_c,65.970,34.030,86.980,13.020,1.07,224,0.875,bilinear
tf_mobilenetv3_small_075,65.716,34.284,86.130,13.870,2.04,224,0.875,bilinear
dla46_c,64.864,35.136,86.292,13.708,1.30,224,0.875,bilinear
dla46_c,64.866,35.134,86.292,13.708,1.30,224,0.875,bilinear
tf_mobilenetv3_small_minimal_100,62.906,37.094,84.230,15.770,2.04,224,0.875,bilinear

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
2 tf_efficientnet_l2_ns 88.352 11.648 98.650 1.350 480.31 800 0.960 bicubic
3 tf_efficientnet_l2_ns_475 88.234 11.766 98.546 1.454 480.31 475 0.936 bicubic
4 swin_large_patch4_window12_384 87.148 12.852 98.234 1.766 196.74 384 1.000 bicubic
5 vit_large_patch16_384 87.080 12.920 98.300 1.700 304.72 384 1.000 bicubic
6 tf_efficientnet_b7_ns 86.840 13.160 98.094 1.906 66.35 600 0.949 bicubic
7 cait_m48_448 86.484 13.516 97.754 2.246 356.46 448 1.000 bicubic
8 tf_efficientnet_b6_ns 86.452 13.548 97.882 2.118 43.04 528 0.942 bicubic
9 swin_base_patch4_window12_384 86.432 13.568 98.058 1.942 87.90 384 1.000 bicubic
10 swin_large_patch4_window7_224 86.320 13.680 97.896 2.104 196.53 224 0.900 bicubic
11 tf_efficientnetv2_l_in21ft1k 86.304 13.696 97.978 2.022 118.52 480 1.000 bicubic
12 dm_nfnet_f6 vit_large_r50_s32_384 86.296 86.184 13.704 13.816 97.744 97.918 2.256 2.082 438.36 329.09 576 384 0.956 1.000 bicubic
13 dm_nfnet_f6 86.144 13.856 97.730 2.270 438.36 576 0.956 bicubic
14 tf_efficientnet_b5_ns 86.088 13.912 97.752 2.248 30.39 456 0.934 bicubic
15 cait_m36_384 86.054 13.946 97.730 2.270 271.22 384 1.000 bicubic
16 dm_nfnet_f5 vit_base_patch16_384 85.714 86.006 14.286 13.994 97.442 98.000 2.558 2.000 377.21 86.86 544 384 0.954 1.000 bicubic
17 dm_nfnet_f4 vit_large_patch16_224 85.658 85.842 14.342 14.158 97.510 97.824 2.490 2.176 316.07 304.33 512 224 0.951 0.900 bicubic
18 dm_nfnet_f5 85.814 14.186 97.488 2.512 377.21 544 0.954 bicubic
19 dm_nfnet_f4 85.714 14.286 97.520 2.480 316.07 512 0.951 bicubic
20 tf_efficientnetv2_m_in21ft1k 85.588 14.412 97.752 2.248 54.14 480 1.000 bicubic
21 dm_nfnet_f3 85.560 85.522 14.440 14.478 97.406 97.462 2.594 2.538 254.92 416 0.940 bicubic
22 tf_efficientnetv2_l 85.490 14.510 97.372 2.628 118.52 480 1.000 bicubic
23 cait_s36_384 85.460 14.540 97.480 2.520 68.37 384 1.000 bicubic
24 ig_resnext101_32x48d 85.428 14.572 97.572 2.428 828.41 224 0.875 bilinear
25 vit_deit_base_distilled_patch16_384 deit_base_distilled_patch16_384 85.422 14.578 97.332 2.668 87.63 384 1.000 bicubic
26 tf_efficientnet_b8 85.370 14.630 97.390 2.610 87.41 672 0.954 bicubic
27 tf_efficientnet_b8_ap 85.370 14.630 97.294 2.706 87.41 672 0.954 bicubic
28 swin_base_patch4_window7_224 85.252 14.748 97.562 2.438 87.77 224 0.900 bicubic
29 tf_efficientnet_b4_ns 85.162 14.838 97.470 2.530 19.34 380 0.922 bicubic
vit_large_patch16_384 85.158 14.842 97.356 2.644 304.72 384 1.000 bicubic
30 tf_efficientnet_b7_ap 85.120 14.880 97.252 2.748 66.35 600 0.949 bicubic
31 ig_resnext101_32x32d 85.094 14.906 97.438 2.562 468.53 224 0.875 bilinear
32 dm_nfnet_f2 85.064 14.936 97.240 2.760 193.78 352 0.920 bicubic
33 cait_s24_384 85.046 14.954 97.346 2.654 47.06 384 1.000 bicubic
34 tf_efficientnetv2_m 85.044 14.956 97.278 2.722 54.14 480 1.000 bicubic
35 resnetrs420 85.008 14.992 97.124 2.876 191.89 416 1.000 bicubic
dm_nfnet_f2 84.990 15.010 97.144 2.856 193.78 352 0.920 bicubic
36 ecaresnet269d 84.976 15.024 97.226 2.774 102.09 352 1.000 bicubic
37 vit_base_r50_s16_384 84.972 15.028 97.288 2.712 98.95 384 1.000 bicubic
38 tf_efficientnet_b7 84.936 15.064 97.204 2.796 66.35 600 0.949 bicubic
39 resnetv2_152x4_bitm 84.932 84.916 15.068 15.084 97.436 97.442 2.564 2.558 936.53 480 1.000 bilinear
40 efficientnetv2_rw_m 84.808 15.192 97.148 2.852 53.24 416 1.000 bicubic
41 tf_efficientnet_b6_ap 84.788 15.212 97.138 2.862 43.04 528 0.942 bicubic
42 resnetrs350 84.720 15.280 96.988 3.012 163.96 384 1.000 bicubic
43 dm_nfnet_f1 eca_nfnet_l2 84.604 84.698 15.396 15.302 97.068 97.264 2.932 2.736 132.63 56.72 320 384 0.910 1.000 bicubic
44 dm_nfnet_f1 84.626 15.374 97.100 2.900 132.63 320 0.910 bicubic
45 vit_base_patch16_224 84.532 15.468 97.294 2.706 86.57 224 0.900 bicubic
46 resnest269e 84.518 15.482 96.986 3.014 110.93 416 0.928 bicubic
47 resnetv2_152x2_bitm 84.440 84.510 15.560 15.490 97.446 97.432 2.554 2.568 236.34 480 448 1.000 bilinear
48 resnetv2_101x3_bitm 84.440 15.560 97.382 2.618 387.93 448 1.000 bilinear
49 resnetrs270 84.434 15.566 96.970 3.030 129.86 352 1.000 bicubic
50 resnetv2_101x3_bitm vit_large_r50_s32_224 84.394 84.434 15.606 15.566 97.362 97.164 2.638 2.836 387.93 328.99 480 224 1.000 0.900 bilinear bicubic
51 resmlp_big_24_224_in22ft1k 84.394 15.606 97.120 2.880 129.14 224 0.875 bicubic
52 seresnet152d 84.362 15.638 97.040 2.960 66.84 320 1.000 bicubic
53 tf_efficientnetv2_s_in21ft1k 84.302 15.698 97.252 2.748 21.46 384 1.000 bicubic
54 swsl_resnext101_32x8d 84.284 15.716 97.176 2.824 88.79 224 0.875 bilinear
55 vit_base_patch16_224_miil 84.268 15.732 96.802 3.198 86.54 224 0.875 bilinear
56 tf_efficientnet_b5_ap 84.252 15.748 96.974 3.026 30.39 456 0.934 bicubic
vit_base_patch16_384 84.210 15.790 97.218 2.782 86.86 384 1.000 bicubic
57 ig_resnext101_32x16d 84.170 15.830 97.196 2.804 194.03 224 0.875 bilinear
58 pit_b_distilled_224 84.144 15.856 96.856 3.144 74.79 224 0.900 bicubic
59 tf_efficientnet_b6 84.110 15.890 96.886 3.114 43.04 528 0.942 bicubic
60 resnetrs200 84.066 15.934 96.874 3.126 93.21 320 1.000 bicubic
61 cait_xs24_384 84.062 15.938 96.888 3.112 26.67 384 1.000 bicubic
62 tf_efficientnet_b3_ns 84.048 15.952 96.910 3.090 12.23 300 0.904 bicubic
63 eca_nfnet_l1 vit_small_r26_s32_384 84.008 84.046 15.992 15.954 97.028 97.328 2.972 2.672 41.41 36.47 320 384 1.000 bicubic
64 resnetv2_50x3_bitm 84.014 15.986 97.124 2.876 217.32 448 1.000 bilinear
65 eca_nfnet_l1 84.010 15.990 97.028 2.972 41.41 320 1.000 bicubic
66 resnet200d 83.962 16.038 96.824 3.176 64.69 320 1.000 bicubic
67 tf_efficientnetv2_s 83.894 16.106 96.698 3.302 21.46 384 1.000 bicubic
68 resnetv2_152x2_bit_teacher_384 83.844 16.156 97.118 2.882 236.34 384 1.000 bicubic
69 resnest200e 83.832 16.168 96.894 3.106 70.20 320 0.909 bicubic
70 tf_efficientnet_b5 83.812 16.188 96.748 3.252 30.39 456 0.934 bicubic
71 efficientnetv2_rw_s 83.808 16.192 96.724 3.276 23.94 384 1.000 bicubic
72 resnetv2_50x3_bitm vit_small_patch16_384 83.784 83.802 16.216 16.198 97.106 97.102 2.894 2.898 217.32 22.20 480 384 1.000 bilinear bicubic
73 resnetrs152 83.712 16.288 96.614 3.386 86.62 320 1.000 bicubic
74 regnety_160 83.686 16.314 96.776 3.224 83.59 288 1.000 bicubic
75 resnet152d 83.680 16.320 96.738 3.262 60.21 320 1.000 bicubic
76 twins_svt_large 83.678 16.322 96.594 3.406 99.27 224 0.900 bicubic
77 resmlp_big_24_distilled_224 83.590 16.410 96.648 3.352 129.14 224 0.875 bicubic
78 cait_s24_224 83.452 16.548 96.564 3.436 46.92 224 1.000 bicubic
79 efficientnet_b4 83.428 16.572 96.596 3.404 19.34 384 1.000 bicubic
80 vit_deit_base_distilled_patch16_224 deit_base_distilled_patch16_224 83.388 16.612 96.488 3.512 87.34 224 0.900 bicubic
81 dm_nfnet_f0 83.386 16.614 96.572 3.428 71.49 256 0.900 bicubic
82 vit_base_patch32_384 83.350 16.650 96.836 3.164 88.30 384 1.000 bicubic
83 swsl_resnext101_32x16d 83.346 16.654 96.846 3.154 194.03 224 0.875 bilinear
dm_nfnet_f0 83.342 16.658 96.560 3.440 71.49 256 0.900 bicubic
84 tf_efficientnet_b4_ap 83.248 16.752 96.392 3.608 19.34 380 0.922 bicubic
85 swsl_resnext101_32x4d 83.230 16.770 96.760 3.240 44.18 224 0.875 bilinear
86 swin_small_patch4_window7_224 83.212 16.788 96.322 3.678 49.61 224 0.900 bicubic
87 twins_pcpvt_large 83.140 16.860 96.598 3.402 60.99 224 0.900 bicubic
88 twins_svt_base 83.136 16.864 96.418 3.582 56.07 224 0.900 bicubic
89 vit_deit_base_patch16_384 deit_base_patch16_384 83.106 16.894 96.372 3.628 86.86 384 1.000 bicubic
90 tresnet_m 83.080 16.920 96.118 3.882 31.39 224 0.875 bilinear
vit_large_patch16_224 83.062 16.938 96.438 3.562 304.33 224 0.900 bicubic
91 tresnet_xl_448 83.050 16.950 96.174 3.826 78.44 448 0.875 bilinear
92 resnet101d 83.022 16.978 96.446 3.554 44.57 320 1.000 bicubic
93 tf_efficientnet_b4 83.022 16.978 96.300 3.700 19.34 380 0.922 bicubic
94 resnest101e 82.890 17.110 96.320 3.680 48.28 256 0.875 bilinear
95 resnetv2_152x2_bit_teacher 82.862 17.138 96.568 3.432 236.34 224 0.875 bicubic
96 resnetv2_50x1_bit_distilled 82.818 17.182 96.522 3.478 25.55 224 0.875 bicubic
97 pnasnet5large 82.782 17.218 96.040 3.960 86.06 331 0.911 bicubic
98 nfnet_l0 82.760 82.750 17.240 17.250 96.498 96.516 3.502 3.484 35.07 288 1.000 bicubic
99 regnety_032 82.724 17.276 96.424 3.576 19.44 288 1.000 bicubic
100 twins_pcpvt_base 82.708 17.292 96.346 3.654 43.83 224 0.900 bicubic
101 ig_resnext101_32x8d 82.688 17.312 96.636 3.364 88.79 224 0.875 bilinear
102 nasnetalarge 82.620 17.380 96.046 3.954 88.75 331 0.911 bicubic
eca_nfnet_l0 82.588 17.412 96.474 3.526 24.14 288 1.000 bicubic
103 levit_384 82.586 17.414 96.016 3.984 39.13 224 0.900 bicubic
104 eca_nfnet_l0 82.580 17.420 96.490 3.510 24.14 288 1.000 bicubic
105 pit_b_224 82.446 17.554 95.710 4.290 73.76 224 0.900 bicubic
106 tf_efficientnet_b2_ns 82.380 17.620 96.248 3.752 9.11 260 0.890 bicubic
107 resnet51q 82.360 17.640 96.180 3.820 35.70 288 1.000 bilinear
108 ecaresnet50t 82.346 17.654 96.138 3.862 25.57 320 0.950 bicubic
109 resnetv2_101x1_bitm 82.332 17.668 96.518 3.482 44.54 448 1.000 bilinear
110 coat_lite_small 82.308 17.692 95.850 4.150 19.84 224 0.900 bicubic
111 mixer_b16_224_miil 82.308 17.692 95.716 4.284 59.88 224 0.875 bilinear
112 convit_base 82.290 17.710 95.938 4.062 86.54 224 0.875 bicubic
113 resnetrs101 82.288 17.712 96.008 3.992 63.62 288 0.940 bicubic
114 tresnet_l_448 82.268 17.732 95.976 4.024 55.99 448 0.875 bilinear
115 efficientnet_b3 82.242 17.758 96.114 3.886 12.23 320 1.000 bicubic
resnetv2_101x1_bitm 82.212 17.788 96.472 3.528 44.54 480 1.000 bilinear
116 cait_xxs36_384 82.194 17.806 96.148 3.852 17.37 384 1.000 bicubic
117 swsl_resnext50_32x4d 82.182 17.818 96.230 3.770 25.03 224 0.875 bilinear
118 ecaresnet101d 82.172 17.828 96.046 3.954 44.57 224 0.875 bicubic
119 visformer_small 82.106 17.894 95.872 4.128 40.22 224 0.900 bicubic
120 tresnet_xl 82.054 17.946 95.936 4.064 78.44 224 0.875 bilinear
121 vit_deit_base_patch16_224 deit_base_patch16_224 81.998 18.002 95.734 4.266 86.57 224 0.900 bicubic
122 pit_s_distilled_224 81.996 18.004 95.798 4.202 24.04 224 0.900 bicubic
123 tf_efficientnetv2_b3 81.970 18.030 95.782 4.218 14.36 300 0.904 bicubic
124 vit_small_r26_s32_224 81.858 18.142 96.022 3.978 36.43 224 0.900 bicubic
125 ssl_resnext101_32x16d 81.844 18.156 96.096 3.904 194.03 224 0.875 bilinear
126 tf_efficientnet_b3_ap 81.822 18.178 95.624 4.376 12.23 300 0.904 bicubic
vit_base_patch16_224 81.786 18.214 96.122 3.878 86.57 224 0.900 bicubic
127 tresnet_m_448 81.714 18.286 95.572 4.428 31.39 448 0.875 bilinear
128 twins_svt_small 81.682 18.318 95.670 4.330 24.06 224 0.900 bicubic
vit_base_patch32_384 81.652 18.348 96.128 3.872 88.30 384 1.000 bicubic
129 tf_efficientnet_b3 81.636 18.364 95.718 4.282 12.23 300 0.904 bicubic
130 rexnet_200 81.632 18.368 95.668 4.332 16.37 224 0.875 bicubic
131 ssl_resnext101_32x8d 81.616 18.384 96.038 3.962 88.79 224 0.875 bilinear
136 tresnet_l 81.490 18.510 95.624 4.376 55.99 224 0.875 bilinear
137 wide_resnet50_2 81.456 18.544 95.532 4.468 68.88 224 0.875 bicubic
138 convit_small 81.426 18.574 95.744 4.256 27.78 224 0.875 bicubic
139 vit_small_patch16_224 81.402 18.598 96.134 3.866 22.05 224 0.900 bicubic
140 tf_efficientnet_b1_ns 81.388 18.612 95.738 4.262 7.79 240 0.882 bicubic
141 swin_tiny_patch4_window7_224 81.378 18.622 95.540 4.460 28.29 224 0.900 bicubic
142 gernet_l 81.354 18.646 95.536 4.464 31.08 256 0.875 bilinear
145 coat_mini 81.268 18.732 95.392 4.608 10.34 224 0.900 bicubic
146 seresnext50_32x4d 81.266 18.734 95.620 4.380 27.56 224 0.875 bicubic
147 gluon_senet154 81.234 18.766 95.348 4.652 115.09 224 0.875 bicubic
148 vit_deit_small_distilled_patch16_224 deit_small_distilled_patch16_224 81.200 18.800 95.378 4.622 22.44 224 0.900 bicubic
149 swsl_resnet50 81.166 18.834 95.972 4.028 25.56 224 0.875 bilinear
150 resmlp_36_distilled_224 81.160 18.840 95.488 4.512 44.69 224 0.875 bicubic
151 resnest50d_4s2x40d 81.108 18.892 95.558 4.442 30.42 224 0.875 bicubic
152 pit_s_224 81.094 18.906 95.332 4.668 23.46 224 0.900 bicubic
153 twins_pcpvt_small 81.088 18.912 95.642 4.358 24.11 224 0.900 bicubic
154 resmlp_big_24_224 81.028 18.972 95.022 4.978 129.14 224 0.875 bicubic
155 gluon_resnet152_v1s 81.016 18.984 95.412 4.588 60.32 224 0.875 bicubic
156 resnest50d_1s4x24d 80.988 19.012 95.322 4.678 25.68 224 0.875 bicubic
157 resnest50d 80.974 19.026 95.378 4.622 27.48 224 0.875 bilinear
162 efficientnet_b3_pruned 80.858 19.142 95.242 4.758 9.86 300 0.904 bicubic
163 ecaresnet101d_pruned 80.818 19.182 95.628 4.372 24.88 224 0.875 bicubic
164 regnety_320 80.812 19.188 95.244 4.756 145.05 224 0.875 bicubic
165 resmlp_24_distilled_224 80.766 19.234 95.218 4.782 30.02 224 0.875 bicubic
166 gernet_m 80.732 19.268 95.184 4.816 21.14 224 0.875 bilinear
167 nf_resnet50 vit_base_patch32_224 80.694 80.724 19.306 19.276 95.356 95.568 4.644 4.432 25.56 88.22 288 224 0.940 0.900 bicubic
168 nf_resnet50 80.660 19.340 95.336 4.664 25.56 288 0.940 bicubic
169 efficientnet_b2 80.612 19.388 95.318 4.682 9.11 288 1.000 bicubic
170 gluon_resnext101_64x4d 80.604 19.396 94.988 5.012 83.46 224 0.875 bicubic
171 ecaresnet50d 80.592 19.408 95.320 4.680 25.58 224 0.875 bicubic
172 resnet50d 80.530 19.470 95.160 4.840 25.58 224 0.875 bicubic
173 repvgg_b3 80.492 19.508 95.260 4.740 123.09 224 0.875 bilinear
174 vit_small_patch32_384 80.480 19.520 95.598 4.402 22.92 384 1.000 bicubic
175 mixnet_xl 80.476 19.524 94.936 5.064 11.90 224 0.875 bicubic
176 gluon_resnet152_v1d 80.474 19.526 95.206 4.794 60.21 224 0.875 bicubic
177 ecaresnetlight 80.462 19.538 95.250 4.750 30.16 224 0.875 bicubic
178 inception_resnet_v2 80.458 19.542 95.306 4.694 55.84 299 0.897 bicubic
179 gluon_resnet101_v1d 80.414 19.586 95.014 4.986 44.57 224 0.875 bicubic
180 regnety_120 80.366 19.634 95.126 4.874 51.82 224 0.875 bicubic
181 resnetv2_50x1_bitm 80.342 19.658 95.684 4.316 25.55 448 1.000 bilinear
182 gluon_resnext101_32x4d 80.334 19.666 94.926 5.074 44.18 224 0.875 bicubic
183 ssl_resnext50_32x4d 80.318 19.682 95.406 4.594 25.03 224 0.875 bilinear
184 rexnet_150 80.310 19.690 95.166 4.834 9.73 224 0.875 bicubic
185 gluon_resnet101_v1s 80.302 19.698 95.160 4.840 44.67 224 0.875 bicubic
efficientnet_el_pruned 80.300 19.700 95.218 4.782 10.59 300 0.904 bicubic
186 tf_efficientnet_b2_ap 80.300 19.700 95.028 4.972 9.11 260 0.890 bicubic
187 efficientnet_el_pruned 80.300 19.700 95.218 4.782 10.59 300 0.904 bicubic
188 seresnet50 80.274 19.726 95.070 4.930 28.09 224 0.875 bicubic
189 tf_efficientnet_el 80.250 19.750 95.128 4.872 10.59 300 0.904 bicubic
190 regnetx_320 80.246 19.754 95.026 4.974 107.81 224 0.875 bicubic
191 legacy_seresnext101_32x4d 80.228 19.772 95.018 4.982 48.96 224 0.875 bilinear
192 repvgg_b3g4 80.214 80.212 19.786 19.788 95.110 4.890 83.83 224 0.875 bilinear
193 tf_efficientnetv2_b2 80.208 19.792 95.042 4.958 10.10 260 0.890 bicubic
resnetv2_50x1_bitm 80.172 19.828 95.626 4.374 25.55 480 1.000 bilinear
194 inception_v4 80.168 19.832 94.968 5.032 42.68 299 0.875 bicubic
195 dpn107 80.156 19.844 94.910 5.090 86.92 224 0.875 bicubic
196 skresnext50_32x4d 80.156 19.844 94.642 5.358 27.48 224 0.875 bicubic
198 cspdarknet53 80.058 19.942 95.084 4.916 27.64 256 0.887 bilinear
199 cspresnext50 80.040 19.960 94.944 5.056 20.57 224 0.875 bilinear
200 dpn92 80.008 19.992 94.836 5.164 37.67 224 0.875 bicubic
201 ens_adv_inception_resnet_v2 79.982 20.018 94.936 94.938 5.064 5.062 55.84 299 0.897 bicubic
202 gluon_seresnext50_32x4d 79.918 20.082 94.822 5.178 27.56 224 0.875 bicubic
203 efficientnet_b2_pruned 79.916 20.084 94.856 5.144 8.31 260 0.890 bicubic
204 gluon_resnet152_v1c 79.910 20.090 94.840 5.160 60.21 224 0.875 bicubic
205 resnetrs50 79.892 20.108 94.968 5.032 35.69 224 0.910 bicubic
206 regnety_080 79.876 20.124 94.830 5.170 39.18 224 0.875 bicubic
207 xception71 79.874 20.126 94.922 5.078 42.34 299 0.903 bicubic
208 deit_small_patch16_224 79.856 20.144 95.052 4.948 22.05 224 0.900 bicubic
209 regnetx_160 79.856 20.144 94.830 5.170 54.28 224 0.875 bicubic
vit_deit_small_patch16_224 79.856 20.144 95.052 4.948 22.05 224 0.900 bicubic
210 ecaresnet26t 79.854 20.146 95.084 4.916 16.01 320 0.950 bicubic
211 levit_192 79.842 20.158 94.786 5.214 10.95 224 0.900 bicubic
212 dpn131 79.822 20.178 94.710 5.290 79.25 224 0.875 bicubic
213 tf_efficientnet_lite3 79.820 20.180 94.914 5.086 8.20 300 0.904 bilinear
214 resmlp_36_224 79.770 20.230 94.886 5.114 44.69 224 0.875 bicubic
215 resnext50_32x4d 79.768 20.232 94.598 5.402 25.03 224 0.875 bicubic
216 cait_xxs36_224 79.750 20.250 94.866 5.134 17.30 224 1.000 bicubic
217 regnety_064 79.722 20.278 94.768 5.232 30.58 224 0.875 bicubic
228 hrnet_w64 79.474 20.526 94.652 5.348 128.06 224 0.875 bilinear
229 tf_efficientnetv2_b1 79.462 20.538 94.722 5.278 8.14 240 0.882 bicubic
230 dla102x2 79.448 20.552 94.640 5.360 41.28 224 0.875 bilinear
231 resmlp_24_224 79.374 20.626 94.546 5.454 30.02 224 0.875 bicubic
232 repvgg_b2g4 79.366 20.634 94.688 5.312 61.76 224 0.875 bilinear
233 gluon_resnext50_32x4d 79.354 20.646 94.426 5.574 25.03 224 0.875 bicubic
234 ese_vovnet39b 79.320 20.680 94.712 5.288 24.57 224 0.875 bicubic
235 resnext101_32x8d 79.308 20.692 94.518 5.482 88.79 224 0.875 bilinear
236 tf_efficientnet_cc_b1_8e 79.308 20.692 94.370 5.630 39.72 240 0.882 bicubic
237 gluon_resnet101_v1b 79.306 20.694 94.524 5.476 44.55 224 0.875 bicubic
nf_regnet_b1 79.306 20.694 94.748 5.252 10.22 288 0.900 bicubic
238 pit_xs_distilled_224 79.306 20.694 94.364 5.636 11.00 224 0.900 bicubic
239 hrnet_w48 79.300 20.700 94.512 5.488 77.47 224 0.875 bilinear
240 nf_regnet_b1 79.292 20.708 94.748 5.252 10.22 288 0.900 bicubic
241 resnetblur50 79.286 20.714 94.638 5.362 25.56 224 0.875 bicubic
242 tf_efficientnet_b1_ap 79.280 20.720 94.306 5.694 7.79 240 0.882 bicubic
243 efficientnet_em 79.252 20.748 94.794 5.206 6.90 240 0.882 bicubic
262 efficientnet_b1 78.794 21.206 94.342 5.658 7.79 256 1.000 bicubic
263 repvgg_b2 78.792 21.208 94.414 5.586 89.02 224 0.875 bilinear
264 tf_mixnet_l 78.774 21.226 93.998 6.002 7.33 224 0.875 bicubic
265 gluon_resnet50_v1s 78.710 78.712 21.290 21.288 94.238 5.762 25.68 224 0.875 bicubic
266 dla169 78.688 21.312 94.336 5.664 53.39 224 0.875 bilinear
267 legacy_seresnet152 78.660 21.340 94.370 5.630 66.82 224 0.875 bilinear
268 tf_efficientnet_b0_ns 78.658 21.342 94.376 5.624 5.29 224 0.875 bicubic
276 hrnet_w32 78.450 21.550 94.186 5.814 41.23 224 0.875 bilinear
277 dla60_res2next 78.440 21.560 94.152 5.848 17.03 224 0.875 bilinear
278 coat_tiny 78.434 21.566 94.038 5.962 5.50 224 0.900 bicubic
279 vit_tiny_patch16_384 78.430 21.570 94.542 5.458 5.79 384 1.000 bicubic
280 selecsls60b 78.412 21.588 94.174 5.826 32.77 224 0.875 bicubic
281 cait_xxs24_224 78.386 21.614 94.310 5.690 11.96 224 1.000 bicubic
282 legacy_seresnet101 78.382 21.618 94.264 5.736 49.33 224 0.875 bilinear
293 tf_efficientnet_em 78.130 21.870 94.044 5.956 6.90 240 0.882 bicubic
294 hardcorenas_f 78.104 21.896 93.802 6.198 8.20 224 0.875 bilinear
295 efficientnet_es 78.066 21.934 93.926 6.074 5.44 224 0.875 bicubic
296 gmixer_24_224 78.036 21.964 93.664 6.336 24.72 224 0.875 bicubic
297 dla102 78.032 21.968 93.946 6.054 33.27 224 0.875 bilinear
298 gluon_resnet50_v1c 78.012 21.988 93.988 6.012 25.58 224 0.875 bicubic
299 seresnext26t_32x4d 77.986 22.014 93.746 6.254 16.81 224 0.875 bicubic
300 selecsls60 77.982 22.018 93.828 6.172 30.67 224 0.875 bicubic
301 res2net50_26w_4s 77.964 22.036 93.854 6.146 25.70 224 0.875 bilinear
302 resmlp_12_distilled_224 77.944 22.056 93.558 6.442 15.35 224 0.875 bicubic
303 mobilenetv3_large_100_miil 77.916 22.084 92.910 7.090 5.48 224 0.875 bilinear
304 tf_efficientnet_cc_b0_8e 77.908 22.092 93.654 6.346 24.01 224 0.875 bicubic
305 regnety_016 77.862 22.138 93.720 6.280 11.20 224 0.875 bicubic
306 tf_inception_v3 77.858 77.862 22.142 22.138 93.640 6.360 23.83 299 0.875 bicubic
vit_small_patch16_224 77.858 22.142 93.416 6.584 48.75 224 0.900 bicubic
307 rexnet_100 77.858 22.142 93.870 6.130 4.80 224 0.875 bicubic
308 hardcorenas_e 77.794 22.206 93.694 6.306 8.07 224 0.875 bilinear
309 efficientnet_b0 77.698 22.302 93.532 6.468 5.29 224 0.875 bicubic
316 res2net50_48w_2s 77.522 22.478 93.554 6.446 25.29 224 0.875 bilinear
317 coat_lite_tiny 77.512 22.488 93.916 6.084 5.72 224 0.900 bicubic
318 tf_efficientnet_lite2 77.468 22.532 93.754 6.246 6.09 260 0.890 bicubic
319 inception_v3 77.438 22.562 93.476 93.474 6.524 6.526 23.83 299 0.875 bicubic
320 hardcorenas_d 77.432 22.568 93.484 6.516 7.50 224 0.875 bilinear
321 tv_resnet101 77.374 22.626 93.540 6.460 44.55 224 0.875 bilinear
322 densenet161 77.358 22.642 93.638 6.362 28.68 224 0.875 bicubic
338 ese_vovnet19b_dw 76.798 23.202 93.268 6.732 6.54 224 0.875 bicubic
339 hrnet_w18 76.758 23.242 93.444 6.556 21.30 224 0.875 bilinear
340 resnet26d 76.696 23.304 93.150 6.850 16.01 224 0.875 bicubic
341 resmlp_12_224 76.654 23.346 93.180 6.820 15.35 224 0.875 bicubic
342 tf_efficientnet_lite1 76.642 23.358 93.226 6.774 5.42 240 0.882 bicubic
343 mixer_b16_224 76.602 23.398 92.228 7.772 59.88 224 0.875 bicubic
344 tf_efficientnet_es 76.594 23.406 93.202 6.798 5.44 224 0.875 bicubic
351 regnety_008 76.316 23.684 93.066 6.934 6.26 224 0.875 bicubic
352 tv_resnet50 76.138 23.862 92.864 7.136 25.56 224 0.875 bilinear
353 mixnet_s 75.992 24.008 92.796 7.204 4.13 224 0.875 bicubic
354 vit_small_patch32_224 75.990 24.010 93.272 6.728 22.88 224 0.900 bicubic
355 vit_tiny_r_s16_p8_384 75.952 24.048 93.260 6.740 6.36 384 1.000 bicubic
356 hardcorenas_a 75.916 24.084 92.514 7.486 5.26 224 0.875 bilinear
357 densenet169 75.906 24.094 93.026 6.974 14.15 224 0.875 bicubic
358 mobilenetv3_large_100 75.766 24.234 92.542 7.458 5.48 224 0.875 bicubic
362 tf_mobilenetv3_large_100 75.518 24.482 92.606 7.394 5.48 224 0.875 bilinear
363 resnest14d 75.506 24.494 92.518 7.482 10.61 224 0.875 bilinear
364 efficientnet_lite0 75.484 24.516 92.510 7.490 4.65 224 0.875 bicubic
365 vit_tiny_patch16_224 75.454 24.546 92.848 7.152 5.72 224 0.900 bicubic
366 semnasnet_100 75.448 24.552 92.604 7.396 3.89 224 0.875 bicubic
367 resnet26 75.292 24.708 92.570 7.430 16.00 224 0.875 bicubic
368 regnety_006 75.246 24.754 92.532 7.468 6.06 224 0.875 bicubic
380 dla34 74.630 25.370 92.078 7.922 15.74 224 0.875 bilinear
381 gluon_resnet34_v1b 74.588 25.412 91.990 8.010 21.80 224 0.875 bicubic
382 pit_ti_distilled_224 74.530 25.470 92.096 7.904 5.10 224 0.900 bicubic
383 vit_deit_tiny_distilled_patch16_224 deit_tiny_distilled_patch16_224 74.510 25.490 91.890 8.110 5.91 224 0.900 bicubic
384 vgg19_bn 74.214 25.786 91.842 8.158 143.68 224 0.875 bilinear
385 spnasnet_100 74.084 25.916 91.818 8.182 4.42 224 0.875 bilinear
386 regnety_004 74.034 25.966 91.752 8.248 4.34 224 0.875 bicubic
397 ssl_resnet18 72.610 27.390 91.416 8.584 11.69 224 0.875 bilinear
398 regnetx_004 72.396 27.604 90.830 9.170 5.16 224 0.875 bicubic
399 vgg19 72.368 27.632 90.872 9.128 143.67 224 0.875 bilinear
400 hrnet_w18_small 72.344 72.342 27.656 27.658 90.678 9.322 13.19 224 0.875 bilinear
401 resnet18d 72.260 27.740 90.696 9.304 11.71 224 0.875 bicubic
402 tf_mobilenetv3_large_minimal_100 72.248 27.752 90.630 9.370 3.92 224 0.875 bilinear
403 vit_deit_tiny_patch16_224 deit_tiny_patch16_224 72.168 27.832 91.118 8.882 5.72 224 0.900 bicubic
404 mixer_l16_224 72.058 27.942 87.668 12.332 208.20 224 0.875 bicubic
405 vit_tiny_r_s16_p8_224 71.788 28.212 90.828 9.172 6.34 224 0.900 bicubic
406 legacy_seresnet18 71.742 28.258 90.334 9.666 11.78 224 0.875 bicubic
407 vgg13_bn 71.594 28.406 90.376 9.624 133.05 224 0.875 bilinear
408 vgg16 71.594 28.406 90.382 9.618 138.36 224 0.875 bilinear
417 dla60x_c 67.892 32.108 88.426 11.574 1.32 224 0.875 bilinear
418 dla46x_c 65.970 34.030 86.980 13.020 1.07 224 0.875 bilinear
419 tf_mobilenetv3_small_075 65.716 34.284 86.130 13.870 2.04 224 0.875 bilinear
420 dla46_c 64.864 64.866 35.136 35.134 86.292 13.708 1.30 224 0.875 bilinear
421 tf_mobilenetv3_small_minimal_100 62.906 37.094 84.230 15.770 2.04 224 0.875 bilinear

@ -1,239 +1,258 @@
model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation,top1_diff,top5_diff,rank_diff
tf_efficientnet_l2_ns_475,80.460,19.540,95.730,4.270,480.31,475,0.936,bicubic,-7.774,-2.816,+1
tf_efficientnet_l2_ns,80.250,19.750,95.840,4.160,480.31,800,0.960,bicubic,-8.102,-2.810,-1
tf_efficientnet_b7_ns,78.510,21.490,94.380,5.620,66.35,600,0.949,bicubic,-8.330,-3.714,+1
tf_efficientnet_b7_ns,78.510,21.490,94.380,5.620,66.35,600,0.949,bicubic,-8.330,-3.714,+2
vit_large_patch16_384,77.940,22.060,94.450,5.550,304.72,384,1.000,bicubic,-9.140,-3.850,0
tf_efficientnet_b6_ns,77.280,22.720,93.890,6.110,43.04,528,0.942,bicubic,-9.172,-3.992,+2
swin_large_patch4_window12_384,77.040,22.960,93.750,6.250,196.74,384,1.000,bicubic,-10.108,-4.484,-2
tf_efficientnetv2_l_in21ft1k,76.940,23.060,93.950,6.050,118.52,480,1.000,bicubic,-9.364,-4.028,+3
cait_m48_448,76.870,23.130,93.370,6.630,356.46,448,1.000,bicubic,-9.614,-4.384,-2
ig_resnext101_32x48d,76.870,23.130,93.310,6.690,828.41,224,0.875,bilinear,-8.558,-4.262,+11
ig_resnext101_32x32d,76.840,23.160,93.200,6.800,468.53,224,0.875,bilinear,-8.254,-4.238,+18
vit_large_r50_s32_384,77.060,22.940,93.720,6.280,329.09,384,1.000,bicubic,-9.124,-4.198,+5
swin_large_patch4_window12_384,77.040,22.960,93.750,6.250,196.74,384,1.000,bicubic,-10.108,-4.484,-4
tf_efficientnetv2_l_in21ft1k,76.940,23.060,93.950,6.050,118.52,480,1.000,bicubic,-9.364,-4.028,+2
cait_m48_448,76.870,23.130,93.370,6.630,356.46,448,1.000,bicubic,-9.614,-4.384,-3
ig_resnext101_32x48d,76.870,23.130,93.310,6.690,828.41,224,0.875,bilinear,-8.558,-4.262,+13
ig_resnext101_32x32d,76.840,23.160,93.200,6.800,468.53,224,0.875,bilinear,-8.254,-4.238,+19
tf_efficientnet_b5_ns,76.810,23.190,93.580,6.420,30.39,456,0.934,bicubic,-9.278,-4.172,+1
cait_m36_384,76.320,23.680,93.050,6.950,271.22,384,1.000,bicubic,-9.734,-4.680,+1
vit_base_patch16_384,76.500,23.500,93.750,6.250,86.86,384,1.000,bicubic,-9.506,-4.250,+2
cait_m36_384,76.320,23.680,93.050,6.950,271.22,384,1.000,bicubic,-9.734,-4.680,0
vit_large_patch16_224,76.290,23.710,93.600,6.400,304.33,224,0.900,bicubic,-9.552,-4.224,+1
swin_base_patch4_window12_384,76.280,23.720,93.320,6.680,87.90,384,1.000,bicubic,-10.152,-4.738,-8
tf_efficientnetv2_l,76.280,23.720,92.970,7.030,118.52,480,1.000,bicubic,-9.210,-4.402,+4
swin_base_patch4_window12_384,76.280,23.720,93.320,6.680,87.90,384,1.000,bicubic,-10.152,-4.738,-5
swin_large_patch4_window7_224,76.270,23.730,93.420,6.580,196.53,224,0.900,bicubic,-10.050,-4.476,-6
swin_large_patch4_window7_224,76.270,23.730,93.420,6.580,196.53,224,0.900,bicubic,-10.050,-4.476,-9
cait_s36_384,76.210,23.790,92.970,7.030,68.37,384,1.000,bicubic,-9.250,-4.510,+3
dm_nfnet_f6,76.180,23.820,93.220,6.780,438.36,576,0.956,bicubic,-10.116,-4.524,-6
tf_efficientnet_b7_ap,76.090,23.910,92.970,7.030,66.35,600,0.949,bicubic,-9.030,-4.282,+9
dm_nfnet_f6,76.130,23.870,93.110,6.890,438.36,576,0.956,bicubic,-10.014,-4.620,-8
tf_efficientnet_b7_ap,76.090,23.910,92.970,7.030,66.35,600,0.949,bicubic,-9.030,-4.282,+8
tf_efficientnet_b8_ap,76.090,23.910,92.730,7.270,87.41,672,0.954,bicubic,-9.280,-4.564,+4
tf_efficientnetv2_m_in21ft1k,75.920,24.080,93.280,6.720,54.14,480,1.000,bicubic,-9.668,-4.472,-4
dm_nfnet_f4,75.750,24.250,92.790,7.210,316.07,512,0.951,bicubic,-9.908,-4.720,-6
ig_resnext101_32x16d,75.720,24.280,92.910,7.090,194.03,224,0.875,bilinear,-8.450,-4.286,+29
dm_nfnet_f4,75.850,24.150,92.950,7.050,316.07,512,0.951,bicubic,-9.864,-4.570,-6
ig_resnext101_32x16d,75.720,24.280,92.910,7.090,194.03,224,0.875,bilinear,-8.450,-4.286,+31
tf_efficientnet_b4_ns,75.670,24.330,93.050,6.950,19.34,380,0.922,bicubic,-9.492,-4.420,+2
vit_base_r50_s16_384,75.590,24.410,92.790,7.210,98.95,384,1.000,bicubic,-9.382,-4.498,+10
vit_deit_base_distilled_patch16_384,75.550,24.450,92.500,7.500,87.63,384,1.000,bicubic,-9.872,-4.832,-4
vit_base_r50_s16_384,75.590,24.410,92.790,7.210,98.95,384,1.000,bicubic,-9.382,-4.498,+9
deit_base_distilled_patch16_384,75.550,24.450,92.500,7.500,87.63,384,1.000,bicubic,-9.872,-4.832,-4
tf_efficientnetv2_m,75.520,24.480,92.620,7.380,54.14,480,1.000,bicubic,-9.524,-4.658,+4
cait_s24_384,75.480,24.520,92.600,7.400,47.06,384,1.000,bicubic,-9.566,-4.746,+2
swsl_resnext101_32x8d,75.430,24.570,92.760,7.240,88.79,224,0.875,bilinear,-8.854,-4.416,+19
dm_nfnet_f3,75.410,24.590,92.830,7.170,254.92,416,0.940,bicubic,-10.150,-4.576,-12
swsl_resnext101_32x8d,75.430,24.570,92.760,7.240,88.79,224,0.875,bilinear,-8.854,-4.416,+22
tf_efficientnet_b6_ap,75.380,24.620,92.440,7.560,43.04,528,0.942,bicubic,-9.408,-4.698,+8
efficientnetv2_rw_m,75.170,24.830,92.570,7.430,53.24,416,1.000,bicubic,-9.638,-4.578,+6
vit_large_patch16_384,75.150,24.850,92.660,7.340,304.72,384,1.000,bicubic,-10.008,-4.696,-6
dm_nfnet_f3,75.210,24.790,92.940,7.060,254.92,416,0.940,bicubic,-10.312,-4.522,-13
efficientnetv2_rw_m,75.170,24.830,92.570,7.430,53.24,416,1.000,bicubic,-9.638,-4.578,+5
ecaresnet269d,75.120,24.880,92.840,7.160,102.09,352,1.000,bicubic,-9.856,-4.386,0
dm_nfnet_f5,75.000,25.000,92.600,7.400,377.21,544,0.954,bicubic,-10.814,-4.888,-19
tf_efficientnet_b8,74.940,25.060,92.310,7.690,87.41,672,0.954,bicubic,-10.430,-5.080,-12
dm_nfnet_f5,74.790,25.210,92.460,7.540,377.21,544,0.954,bicubic,-10.924,-4.982,-21
tf_efficientnet_b7,74.720,25.280,92.220,7.780,66.35,600,0.949,bicubic,-10.216,-4.984,-1
tf_efficientnet_b5_ap,74.600,25.400,91.990,8.010,30.39,456,0.934,bicubic,-9.652,-4.984,+12
swin_base_patch4_window7_224,74.570,25.430,92.560,7.440,87.77,224,0.900,bicubic,-10.682,-5.002,-14
seresnet152d,74.510,25.490,92.080,7.920,66.84,320,1.000,bicubic,-9.852,-4.960,+6
resnest200e,74.480,25.520,91.860,8.140,70.20,320,0.909,bicubic,-9.352,-5.034,+20
dm_nfnet_f2,74.450,25.550,92.230,7.770,193.78,352,0.920,bicubic,-10.540,-4.914,-9
tf_efficientnetv2_s_in21ft1k,74.450,25.550,92.510,7.490,21.46,384,1.000,bicubic,-9.852,-4.742,+4
dm_nfnet_f1,74.400,25.600,92.350,7.650,132.63,320,0.910,bicubic,-10.204,-4.718,-3
efficientnetv2_rw_s,74.170,25.830,91.710,8.290,23.94,384,1.000,bicubic,-9.638,-5.014,+18
resnest269e,74.170,25.830,91.950,8.050,110.93,416,0.928,bicubic,-10.348,-5.036,-4
cait_xs24_384,74.160,25.840,91.910,8.090,26.67,384,1.000,bicubic,-9.902,-4.978,+9
pit_b_distilled_224,74.160,25.840,91.680,8.320,74.79,224,0.900,bicubic,-9.984,-5.176,+5
swsl_resnext101_32x4d,74.140,25.860,91.990,8.010,44.18,224,0.875,bilinear,-9.090,-4.770,+26
vit_base_patch16_384,74.130,25.870,92.360,7.640,86.86,384,1.000,bicubic,-10.080,-4.858,+1
eca_nfnet_l1,74.060,25.940,92.120,7.880,41.41,320,1.000,bicubic,-9.948,-4.908,+7
vit_base_patch16_224_miil,74.040,25.960,91.700,8.300,86.54,224,0.875,bilinear,-10.228,-5.102,-3
swsl_resnext101_32x16d,74.020,25.980,92.160,7.840,194.03,224,0.875,bilinear,-9.326,-4.686,+19
tf_efficientnetv2_s,74.000,26.000,91.530,8.470,21.46,384,1.000,bicubic,-9.894,-5.168,+5
resnetv2_152x4_bitm,74.000,26.000,92.340,7.660,936.53,480,1.000,bilinear,-10.932,-5.096,-17
resnetrs420,73.920,26.080,91.760,8.240,191.89,416,1.000,bicubic,-11.088,-5.364,-24
eca_nfnet_l2,74.830,25.170,92.650,7.350,56.72,384,1.000,bicubic,-9.868,-4.614,+4
tf_efficientnet_b7,74.720,25.280,92.220,7.780,66.35,600,0.949,bicubic,-10.216,-4.984,-2
dm_nfnet_f2,74.620,25.380,92.260,7.740,193.78,352,0.920,bicubic,-10.444,-4.980,-9
tf_efficientnet_b5_ap,74.600,25.400,91.990,8.010,30.39,456,0.934,bicubic,-9.652,-4.984,+14
dm_nfnet_f1,74.570,25.430,92.260,7.740,132.63,320,0.910,bicubic,-10.056,-4.840,+1
swin_base_patch4_window7_224,74.570,25.430,92.560,7.440,87.77,224,0.900,bicubic,-10.682,-5.002,-16
seresnet152d,74.510,25.490,92.080,7.920,66.84,320,1.000,bicubic,-9.852,-4.960,+7
resnest200e,74.480,25.520,91.860,8.140,70.20,320,0.909,bicubic,-9.352,-5.034,+23
tf_efficientnetv2_s_in21ft1k,74.450,25.550,92.510,7.490,21.46,384,1.000,bicubic,-9.852,-4.742,+6
efficientnetv2_rw_s,74.170,25.830,91.710,8.290,23.94,384,1.000,bicubic,-9.638,-5.014,+23
resnest269e,74.170,25.830,91.950,8.050,110.93,416,0.928,bicubic,-10.348,-5.036,-3
cait_xs24_384,74.160,25.840,91.910,8.090,26.67,384,1.000,bicubic,-9.902,-4.978,+11
pit_b_distilled_224,74.160,25.840,91.680,8.320,74.79,224,0.900,bicubic,-9.984,-5.176,+7
swsl_resnext101_32x4d,74.140,25.860,91.990,8.010,44.18,224,0.875,bilinear,-9.090,-4.770,+33
eca_nfnet_l1,74.120,25.880,92.070,7.930,41.41,320,1.000,bicubic,-9.890,-4.958,+12
vit_large_r50_s32_224,74.100,25.900,92.390,7.610,328.99,224,0.900,bicubic,-10.334,-4.774,-4
vit_base_patch16_224_miil,74.040,25.960,91.700,8.300,86.54,224,0.875,bilinear,-10.228,-5.102,0
swsl_resnext101_32x16d,74.020,25.980,92.160,7.840,194.03,224,0.875,bilinear,-9.326,-4.686,+27
resnetv2_152x4_bitm,74.010,25.990,92.340,7.660,936.53,480,1.000,bilinear,-10.906,-5.102,-18
tf_efficientnetv2_s,74.000,26.000,91.530,8.470,21.46,384,1.000,bicubic,-9.894,-5.168,+9
vit_base_patch16_224,74.000,26.000,92.470,7.530,86.57,224,0.900,bicubic,-10.532,-4.824,-14
resnetrs420,73.920,26.080,91.760,8.240,191.89,416,1.000,bicubic,-11.088,-5.364,-25
resnetv2_152x2_bitm,73.920,26.080,92.670,7.330,236.34,448,1.000,bilinear,-10.590,-4.762,-14
tf_efficientnet_b6,73.900,26.100,91.750,8.250,43.04,528,0.942,bicubic,-10.210,-5.136,-3
tf_efficientnet_b3_ns,73.890,26.110,91.870,8.130,12.23,300,0.904,bicubic,-10.158,-5.040,-1
resnetrs270,73.710,26.290,91.580,8.420,129.86,352,1.000,bicubic,-10.724,-5.390,-15
resmlp_big_24_224_in22ft1k,73.880,26.120,91.750,8.250,129.14,224,0.875,bicubic,-10.514,-5.370,-13
vit_small_r26_s32_384,73.800,26.200,92.300,7.700,36.47,384,1.000,bicubic,-10.246,-5.028,-2
resnetrs270,73.710,26.290,91.580,8.420,129.86,352,1.000,bicubic,-10.724,-5.390,-17
resnet200d,73.680,26.320,91.570,8.430,64.69,320,1.000,bicubic,-10.282,-5.254,-1
ig_resnext101_32x8d,73.650,26.350,92.190,7.810,88.79,224,0.875,bilinear,-9.038,-4.446,+29
resnetv2_152x2_bitm,73.630,26.370,92.590,7.410,236.34,480,1.000,bilinear,-10.810,-4.856,-19
tf_efficientnet_b5,73.550,26.450,91.460,8.540,30.39,456,0.934,bicubic,-10.262,-5.288,-1
resnetv2_101x3_bitm,73.530,26.470,92.570,7.430,387.93,480,1.000,bilinear,-10.864,-4.792,-19
resnet152d,73.520,26.480,91.230,8.770,60.21,320,1.000,bicubic,-10.160,-5.508,+2
resnetrs200,73.500,26.500,91.250,8.750,93.21,320,1.000,bicubic,-10.566,-5.624,-11
resnetrs350,73.400,26.600,91.310,8.690,163.96,384,1.000,bicubic,-11.320,-5.678,-27
twins_svt_large,73.390,26.610,90.910,9.090,99.27,224,0.900,bicubic,-10.288,-5.684,0
regnety_160,73.360,26.640,91.690,8.310,83.59,288,1.000,bicubic,-10.326,-5.086,-3
efficientnet_b4,73.320,26.680,91.280,8.720,19.34,384,1.000,bicubic,-10.108,-5.316,0
vit_deit_base_distilled_patch16_224,73.240,26.760,91.000,9.000,87.34,224,0.900,bicubic,-10.148,-5.488,0
resnetv2_101x3_bitm,73.670,26.330,92.470,7.530,387.93,448,1.000,bilinear,-10.770,-4.912,-20
ig_resnext101_32x8d,73.650,26.350,92.190,7.810,88.79,224,0.875,bilinear,-9.038,-4.446,+32
tf_efficientnet_b5,73.550,26.450,91.460,8.540,30.39,456,0.934,bicubic,-10.262,-5.288,0
resnet152d,73.520,26.480,91.230,8.770,60.21,320,1.000,bicubic,-10.160,-5.508,+4
resnetrs200,73.500,26.500,91.250,8.750,93.21,320,1.000,bicubic,-10.566,-5.624,-12
resnetrs350,73.400,26.600,91.310,8.690,163.96,384,1.000,bicubic,-11.320,-5.678,-31
twins_svt_large,73.390,26.610,90.910,9.090,99.27,224,0.900,bicubic,-10.288,-5.684,+2
regnety_160,73.360,26.640,91.690,8.310,83.59,288,1.000,bicubic,-10.326,-5.086,-1
efficientnet_b4,73.320,26.680,91.280,8.720,19.34,384,1.000,bicubic,-10.108,-5.316,+3
resmlp_big_24_distilled_224,73.290,26.710,91.160,8.840,129.14,224,0.875,bicubic,-10.300,-5.488,0
vit_small_patch16_384,73.290,26.710,91.990,8.010,22.20,384,1.000,bicubic,-10.512,-5.112,-6
deit_base_distilled_patch16_224,73.240,26.760,91.000,9.000,87.34,224,0.900,bicubic,-10.148,-5.488,+1
resnetrs152,73.200,26.800,91.260,8.740,86.62,320,1.000,bicubic,-10.512,-5.354,-7
vit_base_patch32_384,73.130,26.870,91.240,8.760,88.30,384,1.000,bicubic,-10.220,-5.596,+1
cait_s24_224,73.070,26.930,91.130,8.870,46.92,224,1.000,bicubic,-10.382,-5.434,-4
resnetv2_152x2_bit_teacher_384,72.890,27.110,91.550,8.450,236.34,384,1.000,bicubic,-10.954,-5.568,-15
tf_efficientnet_b4_ap,72.890,27.110,90.980,9.020,19.34,380,0.922,bicubic,-10.358,-5.412,0
dm_nfnet_f0,72.790,27.210,91.040,8.960,71.49,256,0.900,bicubic,-10.552,-5.520,-2
regnety_032,72.770,27.230,90.950,9.050,19.44,288,1.000,bicubic,-9.954,-5.474,+12
pnasnet5large,72.610,27.390,90.510,9.490,86.06,331,0.911,bicubic,-10.172,-5.530,+8
nfnet_l0,72.610,27.390,91.010,8.990,35.07,288,1.000,bicubic,-10.150,-5.488,+10
dm_nfnet_f0,72.880,27.120,91.080,8.920,71.49,256,0.900,bicubic,-10.506,-5.492,-4
regnety_032,72.770,27.230,90.950,9.050,19.44,288,1.000,bicubic,-9.954,-5.474,+13
nfnet_l0,72.610,27.390,91.010,8.990,35.07,288,1.000,bicubic,-10.140,-5.506,+11
pnasnet5large,72.610,27.390,90.510,9.490,86.06,331,0.911,bicubic,-10.172,-5.530,+9
twins_pcpvt_large,72.580,27.420,90.700,9.300,60.99,224,0.900,bicubic,-10.560,-5.898,-2
resnest101e,72.570,27.430,90.820,9.180,48.28,256,0.875,bilinear,-10.320,-5.500,+5
swsl_resnext50_32x4d,72.560,27.440,90.870,9.130,25.03,224,0.875,bilinear,-9.622,-5.360,+25
tresnet_xl_448,72.550,27.450,90.310,9.690,78.44,448,0.875,bilinear,-10.500,-5.864,0
resnest101e,72.570,27.430,90.820,9.180,48.28,256,0.875,bilinear,-10.320,-5.500,+4
swsl_resnext50_32x4d,72.560,27.440,90.870,9.130,25.03,224,0.875,bilinear,-9.622,-5.360,+26
twins_svt_base,72.550,27.450,90.460,9.540,56.07,224,0.900,bicubic,-10.586,-5.958,-5
vit_deit_base_patch16_384,72.530,27.470,90.250,9.750,86.86,384,1.000,bicubic,-10.576,-6.122,-5
resnet101d,72.410,27.590,90.650,9.350,44.57,320,1.000,bicubic,-10.612,-5.796,-2
tf_efficientnet_b4,72.290,27.710,90.590,9.410,19.34,380,0.922,bicubic,-10.732,-5.710,-2
tresnet_xl_448,72.550,27.450,90.310,9.690,78.44,448,0.875,bilinear,-10.500,-5.864,-1
deit_base_patch16_384,72.530,27.470,90.250,9.750,86.86,384,1.000,bicubic,-10.576,-6.122,-5
resnetv2_50x3_bitm,72.530,27.470,91.760,8.240,217.32,448,1.000,bilinear,-11.484,-5.364,-31
resnet101d,72.410,27.590,90.650,9.350,44.57,320,1.000,bicubic,-10.612,-5.796,-4
tf_efficientnet_b4,72.290,27.710,90.590,9.410,19.34,380,0.922,bicubic,-10.732,-5.710,-4
tf_efficientnet_b2_ns,72.280,27.720,91.090,8.910,9.11,260,0.890,bicubic,-10.100,-5.158,+8
tresnet_m,72.270,27.730,90.240,9.760,31.39,224,0.875,bilinear,-10.810,-5.878,-8
vit_large_patch16_224,72.250,27.750,90.990,9.010,304.33,224,0.900,bicubic,-10.812,-5.448,-8
tresnet_m,72.270,27.730,90.240,9.760,31.39,224,0.875,bilinear,-10.810,-5.878,-9
resnetv2_50x1_bit_distilled,72.260,27.740,91.010,8.990,25.55,224,0.875,bicubic,-10.558,-5.512,-4
nasnetalarge,72.230,27.770,90.470,9.530,88.75,331,0.911,bicubic,-10.390,-5.576,+1
cait_xxs36_384,72.190,27.810,90.840,9.160,17.37,384,1.000,bicubic,-10.004,-5.308,+14
resnetv2_50x3_bitm,72.180,27.820,91.790,8.210,217.32,480,1.000,bilinear,-11.604,-5.316,-28
twins_pcpvt_base,72.180,27.820,90.510,9.490,43.83,224,0.900,bicubic,-10.528,-5.836,-4
eca_nfnet_l0,71.850,28.150,91.130,8.870,24.14,288,1.000,bicubic,-10.738,-5.344,-2
twins_pcpvt_base,72.180,27.820,90.510,9.490,43.83,224,0.900,bicubic,-10.528,-5.836,-3
eca_nfnet_l0,71.840,28.160,91.110,8.890,24.14,288,1.000,bicubic,-10.740,-5.380,0
swin_small_patch4_window7_224,71.740,28.260,90.240,9.760,49.61,224,0.900,bicubic,-11.472,-6.082,-19
pit_b_224,71.700,28.300,89.250,10.750,73.76,224,0.900,bicubic,-10.746,-6.460,-2
swsl_resnet50,71.700,28.300,90.500,9.500,25.56,224,0.875,bilinear,-9.466,-5.472,+41
tresnet_xl,71.660,28.340,89.630,10.370,78.44,224,0.875,bilinear,-10.394,-6.306,+11
convit_base,71.600,28.400,90.150,9.850,86.54,224,0.875,bicubic,-10.690,-5.788,+1
tresnet_l_448,71.600,28.400,90.050,9.950,55.99,448,0.875,bilinear,-10.668,-5.926,+2
swsl_resnet50,71.700,28.300,90.500,9.500,25.56,224,0.875,bilinear,-9.466,-5.472,+42
pit_b_224,71.700,28.300,89.250,10.750,73.76,224,0.900,bicubic,-10.746,-6.460,-1
tresnet_xl,71.660,28.340,89.630,10.370,78.44,224,0.875,bilinear,-10.394,-6.306,+12
convit_base,71.600,28.400,90.150,9.850,86.54,224,0.875,bicubic,-10.690,-5.788,+3
tresnet_l_448,71.600,28.400,90.050,9.950,55.99,448,0.875,bilinear,-10.668,-5.926,+4
ssl_resnext101_32x8d,71.500,28.500,90.460,9.540,88.79,224,0.875,bilinear,-10.116,-5.578,+20
ecaresnet101d,71.490,28.510,90.330,9.670,44.57,224,0.875,bicubic,-10.682,-5.716,+5
efficientnet_b3,71.480,28.520,90.060,9.940,12.23,320,1.000,bicubic,-10.762,-6.054,0
resnet51q,71.430,28.570,90.180,9.820,35.70,288,1.000,bilinear,-10.930,-6.000,-8
ssl_resnext101_32x16d,71.410,28.590,90.560,9.440,194.03,224,0.875,bilinear,-10.434,-5.536,+8
pit_s_distilled_224,71.380,28.620,89.780,10.220,24.04,224,0.900,bicubic,-10.616,-6.018,+5
vit_base_patch16_224,71.330,28.670,90.460,9.540,86.57,224,0.900,bicubic,-10.456,-5.662,+8
mixer_b16_224_miil,71.300,28.700,89.650,10.350,59.88,224,0.875,bilinear,-11.008,-6.066,-9
ecaresnet50t,71.280,28.720,90.420,9.580,25.57,320,0.950,bicubic,-11.066,-5.718,-12
vit_base_patch32_384,71.180,28.820,90.630,9.370,88.30,384,1.000,bicubic,-10.472,-5.498,+8
vit_deit_base_patch16_224,71.170,28.830,89.200,10.800,86.57,224,0.900,bicubic,-10.828,-6.534,-1
visformer_small,71.010,28.990,89.460,10.540,40.22,224,0.900,bicubic,-11.096,-6.412,-4
tresnet_m_448,70.990,29.010,88.680,11.320,31.39,448,0.875,bilinear,-10.724,-6.892,+3
ecaresnet101d,71.490,28.510,90.330,9.670,44.57,224,0.875,bicubic,-10.682,-5.716,+6
efficientnet_b3,71.480,28.520,90.060,9.940,12.23,320,1.000,bicubic,-10.762,-6.054,+2
resnet51q,71.430,28.570,90.180,9.820,35.70,288,1.000,bilinear,-10.930,-6.000,-7
ssl_resnext101_32x16d,71.410,28.590,90.560,9.440,194.03,224,0.875,bilinear,-10.434,-5.536,+10
pit_s_distilled_224,71.380,28.620,89.780,10.220,24.04,224,0.900,bicubic,-10.616,-6.018,+6
mixer_b16_224_miil,71.300,28.700,89.650,10.350,59.88,224,0.875,bilinear,-11.008,-6.066,-6
resnetv2_152x2_bit_teacher,71.290,28.710,90.430,9.570,236.34,224,0.875,bicubic,-11.572,-6.138,-23
ecaresnet50t,71.280,28.720,90.420,9.580,25.57,320,0.950,bicubic,-11.066,-5.718,-11
deit_base_patch16_224,71.170,28.830,89.200,10.800,86.57,224,0.900,bicubic,-10.828,-6.534,+1
resnetv2_101x1_bitm,71.010,28.990,91.090,8.910,44.54,448,1.000,bilinear,-11.322,-5.428,-12
visformer_small,71.010,28.990,89.460,10.540,40.22,224,0.900,bicubic,-11.096,-6.412,-3
tresnet_m_448,70.990,29.010,88.680,11.320,31.39,448,0.875,bilinear,-10.724,-6.892,+4
resnest50d_4s2x40d,70.950,29.050,89.710,10.290,30.42,224,0.875,bicubic,-10.158,-5.848,+27
wide_resnet50_2,70.950,29.050,89.230,10.770,68.88,224,0.875,bicubic,-10.506,-6.302,+12
resnest50d_4s2x40d,70.950,29.050,89.710,10.290,30.42,224,0.875,bicubic,-10.158,-5.848,+25
tnt_s_patch16_224,70.930,29.070,89.600,10.400,23.76,224,0.900,bicubic,-10.588,-6.148,+7
tf_efficientnet_b3_ap,70.920,29.080,89.430,10.570,12.23,300,0.904,bicubic,-10.902,-6.194,-3
vit_small_patch16_224,70.930,29.070,90.140,9.860,22.05,224,0.900,bicubic,-10.472,-5.994,+12
tf_efficientnet_b3_ap,70.920,29.080,89.430,10.570,12.23,300,0.904,bicubic,-10.902,-6.194,-2
tf_efficientnet_b1_ns,70.870,29.130,90.120,9.880,7.79,240,0.882,bicubic,-10.518,-5.618,+11
vit_large_patch32_384,70.860,29.140,90.570,9.430,306.63,384,1.000,bicubic,-10.646,-5.522,+6
resnetrs101,70.840,29.160,89.830,10.170,63.62,288,0.940,bicubic,-11.448,-6.178,-19
rexnet_200,70.840,29.160,89.700,10.300,16.37,224,0.875,bicubic,-10.792,-5.968,-1
tresnet_l,70.840,29.160,89.630,10.370,55.99,224,0.875,bilinear,-10.650,-5.994,+4
vit_large_patch32_384,70.860,29.140,90.570,9.430,306.63,384,1.000,bicubic,-10.646,-5.522,+5
rexnet_200,70.840,29.160,89.700,10.300,16.37,224,0.875,bicubic,-10.792,-5.968,-2
tresnet_l,70.840,29.160,89.630,10.370,55.99,224,0.875,bilinear,-10.650,-5.994,+3
resnetrs101,70.840,29.160,89.830,10.170,63.62,288,0.940,bicubic,-11.448,-6.178,-18
tf_efficientnetv2_b3,70.830,29.170,89.500,10.500,14.36,300,0.904,bicubic,-11.140,-6.282,-11
coat_lite_small,70.800,29.200,89.570,10.430,19.84,224,0.900,bicubic,-11.508,-6.280,-26
levit_384,70.750,29.250,89.300,10.700,39.13,224,0.900,bicubic,-11.836,-6.716,-32
resnetv2_101x1_bitm,70.710,29.290,90.800,9.200,44.54,480,1.000,bilinear,-11.502,-5.672,-22
coat_lite_small,70.800,29.200,89.570,10.430,19.84,224,0.900,bicubic,-11.508,-6.280,-25
levit_384,70.750,29.250,89.300,10.700,39.13,224,0.900,bicubic,-11.836,-6.716,-33
tf_efficientnet_b3,70.640,29.360,89.440,10.560,12.23,300,0.904,bicubic,-10.996,-6.278,-8
gluon_senet154,70.600,29.400,88.920,11.080,115.09,224,0.875,bicubic,-10.634,-6.428,+7
cait_xxs24_384,70.600,29.400,89.720,10.280,12.03,384,1.000,bicubic,-10.366,-5.926,+17
cait_xxs24_384,70.600,29.400,89.720,10.280,12.03,384,1.000,bicubic,-10.366,-5.926,+20
gluon_senet154,70.600,29.400,88.920,11.080,115.09,224,0.875,bicubic,-10.634,-6.428,+8
convit_small,70.580,29.420,89.580,10.420,27.78,224,0.875,bicubic,-10.846,-6.164,-2
twins_pcpvt_small,70.550,29.450,89.070,10.930,24.11,224,0.900,bicubic,-10.538,-6.572,+10
ssl_resnext101_32x4d,70.530,29.470,89.760,10.240,44.18,224,0.875,bilinear,-10.394,-5.968,+14
vit_deit_small_distilled_patch16_224,70.520,29.480,89.470,10.530,22.44,224,0.900,bicubic,-10.680,-5.908,+4
twins_pcpvt_small,70.550,29.450,89.070,10.930,24.11,224,0.900,bicubic,-10.538,-6.572,+12
ssl_resnext101_32x4d,70.530,29.470,89.760,10.240,44.18,224,0.875,bilinear,-10.394,-5.968,+17
deit_small_distilled_patch16_224,70.520,29.480,89.470,10.530,22.44,224,0.900,bicubic,-10.680,-5.908,+5
vit_small_r26_s32_224,70.520,29.480,90.110,9.890,36.43,224,0.900,bicubic,-11.338,-5.912,-20
legacy_senet154,70.500,29.500,89.010,10.990,115.09,224,0.875,bilinear,-10.810,-6.486,-1
twins_svt_small,70.440,29.560,89.360,10.640,24.06,224,0.900,bicubic,-11.242,-6.310,-18
gluon_seresnext101_64x4d,70.430,29.570,89.350,10.650,88.23,224,0.875,bicubic,-10.464,-5.958,+12
tf_efficientnet_lite4,70.430,29.570,89.110,10.890,13.01,380,0.920,bilinear,-11.106,-6.558,-15
resnest50d,70.410,29.590,88.760,11.240,27.48,224,0.875,bilinear,-10.564,-6.618,+6
gluon_seresnext101_64x4d,70.430,29.570,89.350,10.650,88.23,224,0.875,bicubic,-10.464,-5.958,+14
tf_efficientnet_lite4,70.430,29.570,89.110,10.890,13.01,380,0.920,bilinear,-11.106,-6.558,-16
resnest50d,70.410,29.590,88.760,11.240,27.48,224,0.875,bilinear,-10.564,-6.618,+8
resnest50d_1s4x24d,70.400,29.600,89.220,10.780,25.68,224,0.875,bicubic,-10.588,-6.102,+6
seresnext50_32x4d,70.400,29.600,89.110,10.890,27.56,224,0.875,bicubic,-10.866,-6.510,-5
resnest50d_1s4x24d,70.400,29.600,89.220,10.780,25.68,224,0.875,bicubic,-10.588,-6.102,+4
gernet_l,70.350,29.650,88.980,11.020,31.08,256,0.875,bilinear,-11.004,-6.556,-10
gluon_resnet152_v1s,70.290,29.710,88.850,11.150,60.32,224,0.875,bicubic,-10.726,-6.562,0
repvgg_b3,70.250,29.750,88.730,11.270,123.09,224,0.875,bilinear,-10.242,-6.530,+15
gluon_resnet152_v1s,70.290,29.710,88.850,11.150,60.32,224,0.875,bicubic,-10.726,-6.562,+2
repvgg_b3,70.250,29.750,88.730,11.270,123.09,224,0.875,bilinear,-10.242,-6.530,+19
coat_mini,70.220,29.780,89.440,10.560,10.34,224,0.900,bicubic,-11.048,-5.952,-10
ecaresnet101d_pruned,70.130,29.870,89.590,10.410,24.88,224,0.875,bicubic,-10.688,-6.038,+5
ecaresnet101d_pruned,70.130,29.870,89.590,10.410,24.88,224,0.875,bicubic,-10.688,-6.038,+7
efficientnet_el,70.120,29.880,89.290,10.710,10.59,300,0.904,bicubic,-11.196,-6.236,-14
inception_resnet_v2,70.120,29.880,88.700,11.300,55.84,299,0.897,bicubic,-10.338,-6.606,+15
gluon_seresnext101_32x4d,70.010,29.990,88.900,11.100,48.96,224,0.875,bicubic,-10.894,-6.394,-1
regnety_320,70.000,30.000,88.890,11.110,145.05,224,0.875,bicubic,-10.812,-6.354,+2
levit_256,69.970,30.030,89.250,10.750,18.89,224,0.900,bicubic,-11.540,-6.240,-26
gluon_resnet152_v1d,69.960,30.040,88.490,11.510,60.21,224,0.875,bicubic,-10.514,-6.716,+9
inception_resnet_v2,70.120,29.880,88.700,11.300,55.84,299,0.897,bicubic,-10.338,-6.606,+20
resmlp_36_distilled_224,70.090,29.910,89.100,10.900,44.69,224,0.875,bicubic,-11.070,-6.388,-9
gluon_seresnext101_32x4d,70.010,29.990,88.900,11.100,48.96,224,0.875,bicubic,-10.894,-6.394,0
regnety_320,70.000,30.000,88.890,11.110,145.05,224,0.875,bicubic,-10.812,-6.354,+3
levit_256,69.970,30.030,89.250,10.750,18.89,224,0.900,bicubic,-11.540,-6.240,-28
gluon_resnet152_v1d,69.960,30.040,88.490,11.510,60.21,224,0.875,bicubic,-10.514,-6.716,+13
pit_s_224,69.890,30.110,88.930,11.070,23.46,224,0.900,bicubic,-11.204,-6.402,-12
ecaresnet50d,69.840,30.160,89.400,10.600,25.58,224,0.875,bicubic,-10.752,-5.920,+3
ssl_resnext50_32x4d,69.710,30.290,89.440,10.560,25.03,224,0.875,bilinear,-10.608,-5.966,+12
gluon_resnext101_64x4d,69.680,30.320,88.270,11.730,83.46,224,0.875,bicubic,-10.924,-6.718,0
ecaresnet50d,69.840,30.160,89.400,10.600,25.58,224,0.875,bicubic,-10.752,-5.920,+6
ssl_resnext50_32x4d,69.710,30.290,89.440,10.560,25.03,224,0.875,bilinear,-10.608,-5.966,+17
gluon_resnext101_64x4d,69.680,30.320,88.270,11.730,83.46,224,0.875,bicubic,-10.924,-6.718,+3
resmlp_24_distilled_224,69.680,30.320,89.050,10.950,30.02,224,0.875,bicubic,-11.086,-6.168,-3
efficientnet_b3_pruned,69.580,30.420,88.980,11.020,9.86,300,0.904,bicubic,-11.278,-6.262,-7
nf_resnet50,69.580,30.420,88.730,11.270,25.56,288,0.940,bicubic,-11.114,-6.626,-4
gernet_m,69.530,30.470,88.690,11.310,21.14,224,0.875,bilinear,-11.202,-6.494,-6
efficientnet_el_pruned,69.520,30.480,88.930,11.070,10.59,300,0.904,bicubic,-10.780,-6.288,+10
ens_adv_inception_resnet_v2,69.520,30.480,88.510,11.490,55.84,299,0.897,bicubic,-10.462,-6.426,+25
repvgg_b3g4,69.520,30.480,88.450,11.550,83.83,224,0.875,bilinear,-10.694,-6.660,+14
efficientnet_b2,69.500,30.500,88.680,11.320,9.11,288,1.000,bicubic,-11.112,-6.638,-8
rexnet_150,69.470,30.530,88.980,11.020,9.73,224,0.875,bicubic,-10.840,-6.186,+4
swin_tiny_patch4_window7_224,69.450,30.550,89.020,10.980,28.29,224,0.900,bicubic,-11.928,-6.520,-34
regnetx_320,69.440,30.560,88.270,11.730,107.81,224,0.875,bicubic,-10.806,-6.756,+8
inception_v4,69.360,30.640,88.780,11.220,42.68,299,0.875,bicubic,-10.808,-6.188,+12
legacy_seresnext101_32x4d,69.360,30.640,88.070,11.930,48.96,224,0.875,bilinear,-10.868,-6.948,+7
ecaresnetlight,69.340,30.660,89.220,10.780,30.16,224,0.875,bicubic,-11.122,-6.030,-7
resnet50d,69.330,30.670,88.220,11.780,25.58,224,0.875,bicubic,-11.200,-6.940,-12
xception71,69.320,30.680,88.260,11.740,42.34,299,0.903,bicubic,-10.554,-6.662,+21
gluon_xception65,69.160,30.840,88.090,11.910,39.92,299,0.903,bicubic,-10.556,-6.770,+31
gluon_resnet152_v1c,69.140,30.860,87.870,12.130,60.21,224,0.875,bicubic,-10.770,-6.970,+16
mixnet_xl,69.100,30.900,88.310,11.690,11.90,224,0.875,bicubic,-11.376,-6.626,-14
tf_efficientnetv2_b2,69.090,30.910,88.220,11.780,10.10,260,0.890,bicubic,-11.118,-6.822,+2
gluon_resnet101_v1d,69.010,30.990,88.100,11.900,44.57,224,0.875,bicubic,-11.404,-6.914,-12
repvgg_b2g4,69.000,31.000,88.360,11.640,61.76,224,0.875,bilinear,-10.366,-6.328,+38
seresnet50,68.980,31.020,88.710,11.290,28.09,224,0.875,bicubic,-11.294,-6.360,-6
xception65,68.980,31.020,88.480,11.520,39.92,299,0.903,bicubic,-10.572,-6.174,+30
gluon_resnext101_32x4d,68.960,31.040,88.360,11.640,44.18,224,0.875,bicubic,-11.374,-6.566,-14
tf_efficientnet_b2_ap,68.920,31.080,88.350,11.650,9.11,260,0.890,bicubic,-11.380,-6.678,-10
cspdarknet53,68.890,31.110,88.600,11.400,27.64,256,0.887,bilinear,-11.168,-6.484,+1
regnety_120,68.850,31.150,88.330,11.670,51.82,224,0.875,bicubic,-11.516,-6.796,-18
gluon_resnet152_v1b,68.820,31.180,87.710,12.290,60.19,224,0.875,bicubic,-10.866,-7.026,+20
dpn131,68.770,31.230,87.470,12.530,79.25,224,0.875,bicubic,-11.052,-7.240,+12
cspresnext50,68.760,31.240,87.950,12.050,20.57,224,0.875,bilinear,-11.280,-6.994,-2
tf_efficientnet_b2,68.750,31.250,87.990,12.010,9.11,260,0.890,bicubic,-11.336,-6.918,-5
resnext50d_32x4d,68.740,31.260,88.300,11.700,25.05,224,0.875,bicubic,-10.936,-6.566,+17
vit_deit_small_patch16_224,68.720,31.280,88.200,11.800,22.05,224,0.900,bicubic,-11.136,-6.852,+5
gluon_resnet101_v1s,68.710,31.290,87.910,12.090,44.67,224,0.875,bicubic,-11.592,-7.250,-21
regnety_080,68.700,31.300,87.970,12.030,39.18,224,0.875,bicubic,-11.176,-6.860,0
dpn107,68.690,31.310,88.130,11.870,86.92,224,0.875,bicubic,-11.466,-6.780,-12
gluon_seresnext50_32x4d,68.670,31.330,88.310,11.690,27.56,224,0.875,bicubic,-11.248,-6.512,-6
hrnet_w64,68.640,31.360,88.050,11.950,128.06,224,0.875,bilinear,-10.834,-6.602,+18
resnext50_32x4d,68.640,31.360,87.570,12.430,25.03,224,0.875,bicubic,-11.128,-7.028,+4
dpn98,68.590,31.410,87.680,12.320,61.57,224,0.875,bicubic,-11.052,-6.918,+10
regnetx_160,68.530,31.470,88.450,11.550,54.28,224,0.875,bicubic,-11.326,-6.380,-4
cspresnet50,68.460,31.540,88.010,11.990,21.62,256,0.887,bilinear,-11.114,-6.702,+10
rexnet_130,68.450,31.550,88.040,11.960,7.56,224,0.875,bicubic,-11.050,-6.642,+12
tf_efficientnet_el,68.420,31.580,88.210,11.790,10.59,300,0.904,bicubic,-11.830,-6.918,-29
regnety_064,68.420,31.580,88.080,11.920,30.58,224,0.875,bicubic,-11.302,-6.688,0
ecaresnet50d_pruned,68.420,31.580,88.370,11.630,19.94,224,0.875,bicubic,-11.296,-6.510,+2
ssl_resnet50,68.410,31.590,88.560,11.440,25.56,224,0.875,bilinear,-10.812,-6.272,+23
cait_xxs36_224,68.410,31.590,88.630,11.370,17.30,224,1.000,bicubic,-11.340,-6.236,-3
skresnext50_32x4d,68.350,31.650,87.570,12.430,27.48,224,0.875,bicubic,-11.806,-7.072,-24
dla102x2,68.330,31.670,87.890,12.110,41.28,224,0.875,bilinear,-11.118,-6.750,+8
efficientnet_b2_pruned,68.320,31.680,88.100,11.900,8.31,260,0.890,bicubic,-11.596,-6.756,-19
gluon_resnext50_32x4d,68.310,31.690,87.300,12.700,25.03,224,0.875,bicubic,-11.044,-7.126,+8
nf_resnet50,69.540,30.460,88.730,11.270,25.56,288,0.940,bicubic,-11.120,-6.606,-2
gernet_m,69.530,30.470,88.690,11.310,21.14,224,0.875,bilinear,-11.202,-6.494,-5
repvgg_b3g4,69.520,30.480,88.450,11.550,83.83,224,0.875,bilinear,-10.692,-6.660,+18
ens_adv_inception_resnet_v2,69.520,30.480,88.510,11.490,55.84,299,0.897,bicubic,-10.462,-6.428,+28
efficientnet_el_pruned,69.520,30.480,88.930,11.070,10.59,300,0.904,bicubic,-10.780,-6.098,+15
efficientnet_b2,69.500,30.500,88.680,11.320,9.11,288,1.000,bicubic,-11.112,-6.638,-6
rexnet_150,69.470,30.530,88.980,11.020,9.73,224,0.875,bicubic,-10.840,-6.186,+8
swin_tiny_patch4_window7_224,69.450,30.550,89.020,10.980,28.29,224,0.900,bicubic,-11.928,-6.520,-36
regnetx_320,69.440,30.560,88.270,11.730,107.81,224,0.875,bicubic,-10.806,-6.756,+12
vit_base_patch32_224,69.410,30.590,89.420,10.580,88.22,224,0.900,bicubic,-11.314,-6.148,-12
inception_v4,69.360,30.640,88.780,11.220,42.68,299,0.875,bicubic,-10.808,-6.188,+14
legacy_seresnext101_32x4d,69.360,30.640,88.070,11.930,48.96,224,0.875,bilinear,-10.868,-6.948,+10
ecaresnetlight,69.340,30.660,89.220,10.780,30.16,224,0.875,bicubic,-11.122,-6.030,-5
resnet50d,69.330,30.670,88.220,11.780,25.58,224,0.875,bicubic,-11.200,-6.940,-11
xception71,69.320,30.680,88.260,11.740,42.34,299,0.903,bicubic,-10.554,-6.662,+23
vit_small_patch32_384,69.290,30.710,89.820,10.180,22.92,384,1.000,bicubic,-11.190,-5.778,-11
gluon_xception65,69.160,30.840,88.090,11.910,39.92,299,0.903,bicubic,-10.556,-6.770,+33
gluon_resnet152_v1c,69.140,30.860,87.870,12.130,60.21,224,0.875,bicubic,-10.770,-6.970,+17
mixnet_xl,69.100,30.900,88.310,11.690,11.90,224,0.875,bicubic,-11.376,-6.626,-13
tf_efficientnetv2_b2,69.090,30.910,88.220,11.780,10.10,260,0.890,bicubic,-11.118,-6.822,+4
gluon_resnet101_v1d,69.010,30.990,88.100,11.900,44.57,224,0.875,bicubic,-11.404,-6.914,-11
repvgg_b2g4,69.000,31.000,88.360,11.640,61.76,224,0.875,bilinear,-10.366,-6.328,+41
seresnet50,68.980,31.020,88.710,11.290,28.09,224,0.875,bicubic,-11.294,-6.360,-4
xception65,68.980,31.020,88.480,11.520,39.92,299,0.903,bicubic,-10.572,-6.174,+32
gluon_resnext101_32x4d,68.960,31.040,88.360,11.640,44.18,224,0.875,bicubic,-11.374,-6.566,-12
tf_efficientnet_b2_ap,68.920,31.080,88.350,11.650,9.11,260,0.890,bicubic,-11.380,-6.868,-9
cspdarknet53,68.890,31.110,88.600,11.400,27.64,256,0.887,bilinear,-11.168,-6.484,+2
regnety_120,68.850,31.150,88.330,11.670,51.82,224,0.875,bicubic,-11.516,-6.796,-17
gluon_resnet152_v1b,68.820,31.180,87.710,12.290,60.19,224,0.875,bicubic,-10.866,-7.026,+22
dpn131,68.770,31.230,87.470,12.530,79.25,224,0.875,bicubic,-11.052,-7.240,+13
cspresnext50,68.760,31.240,87.950,12.050,20.57,224,0.875,bilinear,-11.280,-6.994,-1
tf_efficientnet_b2,68.750,31.250,87.990,12.010,9.11,260,0.890,bicubic,-11.336,-6.918,-4
resnext50d_32x4d,68.740,31.260,88.300,11.700,25.05,224,0.875,bicubic,-10.936,-6.566,+19
deit_small_patch16_224,68.720,31.280,88.200,11.800,22.05,224,0.900,bicubic,-11.136,-6.852,+5
gluon_resnet101_v1s,68.710,31.290,87.910,12.090,44.67,224,0.875,bicubic,-11.592,-7.250,-19
regnety_080,68.700,31.300,87.970,12.030,39.18,224,0.875,bicubic,-11.176,-6.860,+1
dpn107,68.690,31.310,88.130,11.870,86.92,224,0.875,bicubic,-11.466,-6.780,-11
gluon_seresnext50_32x4d,68.670,31.330,88.310,11.690,27.56,224,0.875,bicubic,-11.248,-6.512,-5
hrnet_w64,68.640,31.360,88.050,11.950,128.06,224,0.875,bilinear,-10.834,-6.602,+20
resnext50_32x4d,68.640,31.360,87.570,12.430,25.03,224,0.875,bicubic,-11.128,-7.028,+6
dpn98,68.590,31.410,87.680,12.320,61.57,224,0.875,bicubic,-11.052,-6.918,+12
regnetx_160,68.530,31.470,88.450,11.550,54.28,224,0.875,bicubic,-11.326,-6.380,-2
cspresnet50,68.460,31.540,88.010,11.990,21.62,256,0.887,bilinear,-11.114,-6.702,+12
rexnet_130,68.450,31.550,88.040,11.960,7.56,224,0.875,bicubic,-11.050,-6.642,+14
tf_efficientnet_el,68.420,31.580,88.210,11.790,10.59,300,0.904,bicubic,-11.830,-6.918,-27
ecaresnet50d_pruned,68.420,31.580,88.370,11.630,19.94,224,0.875,bicubic,-11.296,-6.510,+4
regnety_064,68.420,31.580,88.080,11.920,30.58,224,0.875,bicubic,-11.302,-6.688,+2
ssl_resnet50,68.410,31.590,88.560,11.440,25.56,224,0.875,bilinear,-10.812,-6.272,+26
cait_xxs36_224,68.410,31.590,88.630,11.370,17.30,224,1.000,bicubic,-11.340,-6.236,-1
skresnext50_32x4d,68.350,31.650,87.570,12.430,27.48,224,0.875,bicubic,-11.806,-7.072,-23
dla102x2,68.330,31.670,87.890,12.110,41.28,224,0.875,bilinear,-11.118,-6.750,+10
efficientnet_b2_pruned,68.320,31.680,88.100,11.900,8.31,260,0.890,bicubic,-11.596,-6.756,-18
resmlp_big_24_224,68.320,31.680,87.520,12.480,129.14,224,0.875,bicubic,-12.708,-7.502,-68
gluon_resnext50_32x4d,68.310,31.690,87.300,12.700,25.03,224,0.875,bicubic,-11.044,-7.126,+10
ecaresnet26t,68.230,31.770,88.790,11.210,16.01,320,0.950,bicubic,-11.624,-6.294,-14
tf_efficientnet_lite3,68.230,31.770,87.740,12.260,8.20,300,0.904,bilinear,-11.590,-7.174,-12
ese_vovnet39b,68.210,31.790,88.250,11.750,24.57,224,0.875,bicubic,-11.110,-6.462,+6
regnetx_120,68.150,31.850,87.660,12.340,46.11,224,0.875,bicubic,-11.446,-7.078,-5
resnetrs50,68.030,31.970,87.710,12.290,35.69,224,0.910,bicubic,-11.862,-7.258,-23
ese_vovnet39b,68.210,31.790,88.250,11.750,24.57,224,0.875,bicubic,-11.110,-6.462,+8
regnetx_120,68.150,31.850,87.660,12.340,46.11,224,0.875,bicubic,-11.446,-7.078,-4
resmlp_36_224,68.080,31.920,88.190,11.810,44.69,224,0.875,bicubic,-11.690,-6.696,-14
resnetrs50,68.030,31.970,87.710,12.290,35.69,224,0.910,bicubic,-11.862,-7.258,-24
pit_xs_distilled_224,68.020,31.980,87.720,12.280,11.00,224,0.900,bicubic,-11.286,-6.644,+8
dpn92,67.990,32.010,87.580,12.420,37.67,224,0.875,bicubic,-12.018,-7.256,-30
nf_regnet_b1,67.980,32.020,88.180,11.820,10.22,288,0.900,bicubic,-11.326,-6.568,+5
gluon_resnet50_v1d,67.940,32.060,87.130,12.870,25.58,224,0.875,bicubic,-11.134,-7.340,+18
levit_192,67.900,32.100,87.890,12.110,10.95,224,0.900,bicubic,-11.942,-6.896,-22
tf_efficientnetv2_b1,67.890,32.110,87.800,12.200,8.14,240,0.882,bicubic,-11.572,-6.922,-6
dpn92,67.990,32.010,87.580,12.420,37.67,224,0.875,bicubic,-12.018,-7.256,-31
nf_regnet_b1,67.960,32.040,88.200,11.800,10.22,288,0.900,bicubic,-11.332,-6.548,+8
gluon_resnet50_v1d,67.940,32.060,87.130,12.870,25.58,224,0.875,bicubic,-11.134,-7.340,+19
resnetv2_50x1_bitm,67.920,32.080,89.300,10.700,25.55,448,1.000,bilinear,-12.422,-6.384,-53
levit_192,67.900,32.100,87.890,12.110,10.95,224,0.900,bicubic,-11.942,-6.896,-24
tf_efficientnetv2_b1,67.890,32.110,87.800,12.200,8.14,240,0.882,bicubic,-11.572,-6.922,-7
regnetx_080,67.880,32.120,86.990,13.010,39.57,224,0.875,bicubic,-11.314,-7.570,+12
resnext101_32x8d,67.860,32.140,87.490,12.510,88.79,224,0.875,bilinear,-11.448,-7.028,-3
efficientnet_em,67.840,32.160,88.120,11.880,6.90,240,0.882,bicubic,-11.412,-6.674,+4
legacy_seresnext50_32x4d,67.840,32.160,87.620,12.380,27.56,224,0.875,bilinear,-11.238,-6.816,+11
hrnet_w48,67.770,32.230,87.420,12.580,77.47,224,0.875,bilinear,-11.530,-7.092,-1
hrnet_w44,67.740,32.260,87.560,12.440,67.06,224,0.875,bilinear,-11.156,-6.808,+16
coat_lite_mini,67.720,32.280,87.700,12.300,11.01,224,0.900,bicubic,-11.368,-6.904,+7
tf_efficientnet_b0_ns,67.710,32.290,88.070,11.930,5.29,224,0.875,bicubic,-10.948,-6.306,+24
regnetx_064,67.680,32.320,87.520,12.480,26.21,224,0.875,bicubic,-11.392,-6.938,+8
xception,67.650,32.350,87.570,12.430,22.86,299,0.897,bicubic,-11.402,-6.822,+8
dpn68b,67.630,32.370,87.660,12.340,12.61,224,0.875,bicubic,-11.586,-6.754,-1
dla169,67.610,32.390,87.590,12.410,53.39,224,0.875,bilinear,-11.078,-6.746,+18
gluon_inception_v3,67.590,32.410,87.470,12.530,23.83,299,0.875,bicubic,-11.216,-6.900,+12
gluon_resnet101_v1c,67.580,32.420,87.180,12.820,44.57,224,0.875,bicubic,-11.954,-7.398,-23
regnety_040,67.580,32.420,87.510,12.490,20.65,224,0.875,bicubic,-11.640,-7.146,-6
res2net50_26w_8s,67.570,32.430,87.280,12.720,48.40,224,0.875,bilinear,-11.628,-7.088,-5
hrnet_w40,67.560,32.440,87.140,12.860,57.56,224,0.875,bilinear,-11.360,-7.330,+4
legacy_seresnet152,67.520,32.480,87.390,12.610,66.82,224,0.875,bilinear,-11.140,-6.980,+13
resnetv2_50x1_bitm,67.520,32.480,89.250,10.750,25.55,480,1.000,bilinear,-12.652,-6.376,-60
efficientnet_em,67.840,32.160,88.120,11.880,6.90,240,0.882,bicubic,-11.412,-6.674,+4
resmlp_24_224,67.810,32.190,87.610,12.390,30.02,224,0.875,bicubic,-11.564,-6.936,-10
hrnet_w48,67.770,32.230,87.420,12.580,77.47,224,0.875,bilinear,-11.530,-7.092,-3
hrnet_w44,67.740,32.260,87.560,12.440,67.06,224,0.875,bilinear,-11.156,-6.808,+15
coat_lite_mini,67.720,32.280,87.700,12.300,11.01,224,0.900,bicubic,-11.368,-6.904,+6
tf_efficientnet_b0_ns,67.710,32.290,88.070,11.930,5.29,224,0.875,bicubic,-10.948,-6.306,+23
regnetx_064,67.680,32.320,87.520,12.480,26.21,224,0.875,bicubic,-11.392,-6.938,+7
xception,67.650,32.350,87.570,12.430,22.86,299,0.897,bicubic,-11.402,-6.822,+7
dpn68b,67.630,32.370,87.660,12.340,12.61,224,0.875,bicubic,-11.586,-6.754,-2
dla169,67.610,32.390,87.590,12.410,53.39,224,0.875,bilinear,-11.078,-6.746,+17
gluon_inception_v3,67.590,32.410,87.470,12.530,23.83,299,0.875,bicubic,-11.216,-6.900,+11
gluon_resnet101_v1c,67.580,32.420,87.180,12.820,44.57,224,0.875,bicubic,-11.954,-7.398,-25
regnety_040,67.580,32.420,87.510,12.490,20.65,224,0.875,bicubic,-11.640,-7.146,-7
res2net50_26w_8s,67.570,32.430,87.280,12.720,48.40,224,0.875,bilinear,-11.628,-7.088,-6
hrnet_w40,67.560,32.440,87.140,12.860,57.56,224,0.875,bilinear,-11.360,-7.330,+3
legacy_seresnet152,67.520,32.480,87.390,12.610,66.82,224,0.875,bilinear,-11.140,-6.980,+12
tf_efficientnet_b1_ap,67.520,32.480,87.760,12.240,7.79,240,0.882,bicubic,-11.760,-6.546,-14
efficientnet_b1,67.470,32.530,87.510,12.490,7.79,256,1.000,bicubic,-11.324,-6.832,+5
gluon_resnet101_v1b,67.460,32.540,87.240,12.760,44.55,224,0.875,bicubic,-11.846,-7.284,-21
@ -241,61 +260,63 @@ tf_efficientnet_cc_b1_8e,67.450,32.550,87.310,12.690,39.72,240,0.882,bicubic,-11
res2net101_26w_4s,67.440,32.560,87.010,12.990,45.21,224,0.875,bilinear,-11.758,-7.422,-12
resnet50,67.440,32.560,87.420,12.580,25.56,224,0.875,bicubic,-11.598,-6.970,-6
resnetblur50,67.430,32.570,87.440,12.560,25.56,224,0.875,bicubic,-11.856,-7.198,-21
cait_xxs24_224,67.330,32.670,87.510,12.490,11.96,224,1.000,bicubic,-11.056,-6.800,+17
regnetx_032,67.290,32.710,87.000,13.000,15.30,224,0.875,bicubic,-10.882,-7.088,+26
coat_tiny,67.250,32.750,87.340,12.660,5.50,224,0.900,bicubic,-11.184,-6.698,+13
cait_xxs24_224,67.330,32.670,87.510,12.490,11.96,224,1.000,bicubic,-11.056,-6.800,+18
regnetx_032,67.290,32.710,87.000,13.000,15.30,224,0.875,bicubic,-10.882,-7.088,+27
xception41,67.250,32.750,87.200,12.800,26.97,299,0.903,bicubic,-11.266,-7.078,+4
coat_tiny,67.250,32.750,87.340,12.660,5.50,224,0.900,bicubic,-11.184,-6.698,+13
resnest26d,67.200,32.800,87.170,12.830,17.07,224,0.875,bilinear,-11.278,-7.128,+7
repvgg_b2,67.160,32.840,87.330,12.670,89.02,224,0.875,bilinear,-11.632,-7.084,-6
legacy_seresnet101,67.160,32.840,87.060,12.940,49.33,224,0.875,bilinear,-11.222,-7.204,+13
dla60x,67.100,32.900,87.190,12.810,17.35,224,0.875,bilinear,-11.146,-6.828,+15
gluon_resnet50_v1s,67.060,32.940,86.860,13.140,25.68,224,0.875,bicubic,-11.650,-7.378,-6
tv_resnet152,67.050,32.950,87.550,12.450,60.19,224,0.875,bilinear,-11.262,-6.488,+12
legacy_seresnet101,67.160,32.840,87.060,12.940,49.33,224,0.875,bilinear,-11.222,-7.204,+14
dla60x,67.100,32.900,87.190,12.810,17.35,224,0.875,bilinear,-11.146,-6.828,+16
gluon_resnet50_v1s,67.060,32.940,86.860,13.140,25.68,224,0.875,bicubic,-11.652,-7.378,-6
tv_resnet152,67.050,32.950,87.550,12.450,60.19,224,0.875,bilinear,-11.262,-6.488,+13
dla60_res2net,67.020,32.980,87.160,12.840,20.85,224,0.875,bilinear,-11.444,-7.046,+2
dla102x,67.010,32.990,86.770,13.230,26.31,224,0.875,bilinear,-11.500,-7.458,-3
mixnet_l,66.940,33.060,86.910,13.090,7.33,224,0.875,bicubic,-12.036,-7.272,-19
pit_xs_224,66.920,33.080,87.280,12.720,10.62,224,0.900,bicubic,-11.262,-6.888,+13
pit_xs_224,66.920,33.080,87.280,12.720,10.62,224,0.900,bicubic,-11.262,-6.888,+14
res2net50_26w_6s,66.910,33.090,86.860,13.140,37.05,224,0.875,bilinear,-11.660,-7.264,-8
repvgg_b1,66.900,33.100,86.780,13.220,57.42,224,0.875,bilinear,-11.466,-7.318,+4
efficientnet_es,66.880,33.120,86.730,13.270,5.44,224,0.875,bicubic,-11.186,-7.196,+15
repvgg_b1,66.900,33.100,86.780,13.220,57.42,224,0.875,bilinear,-11.466,-7.318,+5
tf_efficientnet_b1,66.880,33.120,87.010,12.990,7.79,240,0.882,bicubic,-11.946,-7.188,-20
efficientnet_es,66.880,33.120,86.730,13.270,5.44,224,0.875,bicubic,-11.186,-7.196,+16
regnetx_040,66.840,33.160,86.730,13.270,22.12,224,0.875,bicubic,-11.642,-7.514,-8
hrnet_w30,66.780,33.220,86.800,13.200,37.71,224,0.875,bilinear,-11.426,-7.422,+6
hrnet_w30,66.780,33.220,86.800,13.200,37.71,224,0.875,bilinear,-11.426,-7.422,+7
tf_mixnet_l,66.780,33.220,86.470,13.530,7.33,224,0.875,bicubic,-11.994,-7.528,-19
selecsls60b,66.760,33.240,86.530,13.470,32.77,224,0.875,bicubic,-11.652,-7.644,-5
selecsls60b,66.760,33.240,86.530,13.470,32.77,224,0.875,bicubic,-11.652,-7.644,-4
hrnet_w32,66.750,33.250,87.300,12.700,41.23,224,0.875,bilinear,-11.700,-6.886,-9
wide_resnet101_2,66.730,33.270,87.030,12.970,126.89,224,0.875,bilinear,-12.126,-7.252,-27
tf_efficientnetv2_b0,66.700,33.300,86.710,13.290,7.14,224,0.875,bicubic,-11.656,-7.314,-4
adv_inception_v3,66.650,33.350,86.540,13.460,23.83,299,0.875,bicubic,-10.932,-7.196,+24
tf_efficientnetv2_b0,66.700,33.300,86.710,13.290,7.14,224,0.875,bicubic,-11.656,-7.314,-3
adv_inception_v3,66.650,33.350,86.540,13.460,23.83,299,0.875,bicubic,-10.932,-7.196,+26
dla60_res2next,66.640,33.360,87.030,12.970,17.03,224,0.875,bilinear,-11.800,-7.122,-12
gluon_resnet50_v1c,66.560,33.440,86.180,13.820,25.58,224,0.875,bicubic,-11.452,-7.808,+6
levit_128,66.550,33.450,86.750,13.250,9.21,224,0.900,bicubic,-11.936,-7.260,-19
dla102,66.540,33.460,86.910,13.090,33.27,224,0.875,bilinear,-11.492,-7.036,+3
tf_inception_v3,66.410,33.590,86.660,13.340,23.83,299,0.875,bicubic,-11.448,-7.210,+10
hardcorenas_f,66.370,33.630,86.200,13.800,8.20,224,0.875,bilinear,-11.734,-7.602,-1
efficientnet_b0,66.290,33.710,85.960,14.040,5.29,224,0.875,bicubic,-11.408,-7.572,+11
vit_tiny_patch16_384,66.610,33.390,87.260,12.740,5.79,384,1.000,bicubic,-11.820,-7.282,-11
gluon_resnet50_v1c,66.560,33.440,86.180,13.820,25.58,224,0.875,bicubic,-11.452,-7.808,+7
levit_128,66.550,33.450,86.750,13.250,9.21,224,0.900,bicubic,-11.936,-7.260,-20
dla102,66.540,33.460,86.910,13.090,33.27,224,0.875,bilinear,-11.492,-7.036,+4
gmixer_24_224,66.420,33.580,86.150,13.850,24.72,224,0.875,bicubic,-11.616,-7.514,+2
tf_inception_v3,66.410,33.590,86.660,13.340,23.83,299,0.875,bicubic,-11.452,-6.980,+11
hardcorenas_f,66.370,33.630,86.200,13.800,8.20,224,0.875,bilinear,-11.734,-7.602,-2
coat_lite_tiny,66.290,33.710,86.980,13.020,5.72,224,0.900,bicubic,-11.222,-6.936,+20
efficientnet_b0,66.290,33.710,85.960,14.040,5.29,224,0.875,bicubic,-11.408,-7.572,+11
legacy_seresnet50,66.250,33.750,86.330,13.670,28.09,224,0.875,bilinear,-11.380,-7.418,+11
selecsls60,66.210,33.790,86.340,13.660,30.67,224,0.875,bicubic,-11.772,-7.488,0
tf_efficientnet_em,66.180,33.820,86.360,13.640,6.90,240,0.882,bicubic,-11.950,-7.684,-7
tf_efficientnet_em,66.180,33.820,86.360,13.640,6.90,240,0.882,bicubic,-11.950,-7.684,-8
tv_resnext50_32x4d,66.180,33.820,86.040,13.960,25.03,224,0.875,bilinear,-11.440,-7.656,+9
tf_efficientnet_cc_b0_8e,66.170,33.830,86.240,13.760,24.01,224,0.875,bicubic,-11.738,-7.414,0
inception_v3,66.160,33.840,86.320,13.680,23.83,299,0.875,bicubic,-11.278,-7.156,+15
tf_efficientnet_cc_b0_8e,66.170,33.830,86.240,13.760,24.01,224,0.875,bicubic,-11.738,-7.414,+1
inception_v3,66.160,33.840,86.320,13.680,23.83,299,0.875,bicubic,-11.278,-7.154,+15
res2net50_26w_4s,66.140,33.860,86.600,13.400,25.70,224,0.875,bilinear,-11.824,-7.254,-4
efficientnet_b1_pruned,66.090,33.910,86.570,13.430,6.33,240,0.882,bicubic,-12.146,-7.264,-17
rexnet_100,66.070,33.930,86.490,13.510,4.80,224,0.875,bicubic,-11.788,-6.926,-1
gluon_resnet50_v1b,66.070,33.930,86.260,13.740,25.56,224,0.875,bicubic,-11.510,-7.456,+8
resmlp_12_distilled_224,66.130,33.870,86.630,13.370,15.35,224,0.875,bicubic,-11.814,-6.928,-4
efficientnet_b1_pruned,66.090,33.910,86.570,13.430,6.33,240,0.882,bicubic,-12.146,-7.264,-19
gluon_resnet50_v1b,66.070,33.930,86.260,13.740,25.56,224,0.875,bicubic,-11.510,-7.456,+7
rexnet_100,66.070,33.930,86.490,13.510,4.80,224,0.875,bicubic,-11.788,-7.380,-2
regnety_016,66.060,33.940,86.380,13.620,11.20,224,0.875,bicubic,-11.802,-7.340,-5
res2net50_14w_8s,66.020,33.980,86.250,13.750,25.06,224,0.875,bilinear,-12.130,-7.598,-17
seresnext26t_32x4d,65.880,34.120,85.680,14.320,16.81,224,0.875,bicubic,-12.106,-8.066,-12
repvgg_b1g4,65.850,34.150,86.120,13.880,39.97,224,0.875,bilinear,-11.744,-7.706,+1
res2next50,65.850,34.150,85.840,14.160,24.67,224,0.875,bilinear,-12.396,-8.052,-25
densenet161,65.840,34.160,86.450,13.550,28.68,224,0.875,bicubic,-11.518,-7.188,+8
hardcorenas_e,65.840,34.160,85.980,14.020,8.07,224,0.875,bilinear,-11.954,-7.714,-7
resnet34d,65.780,34.220,86.720,13.280,21.82,224,0.875,bicubic,-11.336,-6.662,+12
res2net50_14w_8s,66.020,33.980,86.250,13.750,25.06,224,0.875,bilinear,-12.130,-7.598,-19
seresnext26t_32x4d,65.880,34.120,85.680,14.320,16.81,224,0.875,bicubic,-12.106,-8.066,-13
repvgg_b1g4,65.850,34.150,86.120,13.880,39.97,224,0.875,bilinear,-11.744,-7.706,0
res2next50,65.850,34.150,85.840,14.160,24.67,224,0.875,bilinear,-12.396,-8.052,-27
densenet161,65.840,34.160,86.450,13.550,28.68,224,0.875,bicubic,-11.518,-7.188,+7
hardcorenas_e,65.840,34.160,85.980,14.020,8.07,224,0.875,bilinear,-11.954,-7.714,-8
resnet34d,65.780,34.220,86.710,13.290,21.82,224,0.875,bicubic,-11.336,-6.672,+11
mobilenetv3_large_100_miil,65.760,34.240,85.200,14.800,5.48,224,0.875,bilinear,-12.156,-7.710,-15
skresnet34,65.750,34.250,85.960,14.040,22.28,224,0.875,bicubic,-11.162,-7.362,+18
vit_small_patch16_224,65.740,34.260,86.120,13.880,48.75,224,0.900,bicubic,-12.118,-7.520,-13
skresnet34,65.750,34.250,85.960,14.040,22.28,224,0.875,bicubic,-11.162,-7.362,+17
tv_resnet101,65.690,34.310,85.980,14.020,44.55,224,0.875,bilinear,-11.684,-7.560,+1
hardcorenas_d,65.630,34.370,85.460,14.540,7.50,224,0.875,bilinear,-11.802,-8.024,-1
selecsls42b,65.610,34.390,85.810,14.190,32.46,224,0.875,bicubic,-11.564,-7.580,+5
@ -304,7 +325,7 @@ seresnext26d_32x4d,65.410,34.590,85.970,14.030,16.81,224,0.875,bicubic,-12.192,-
tf_efficientnet_lite2,65.380,34.620,85.990,14.010,6.09,260,0.890,bicubic,-12.088,-7.764,-7
res2net50_48w_2s,65.350,34.650,85.960,14.040,25.29,224,0.875,bilinear,-12.172,-7.594,-10
densenet201,65.290,34.710,85.690,14.310,20.01,224,0.875,bicubic,-11.996,-7.788,-3
densenetblur121d,65.280,34.720,85.710,14.290,8.00,224,0.875,bicubic,-11.308,-7.482,+16
densenetblur121d,65.280,34.720,85.710,14.290,8.00,224,0.875,bicubic,-11.308,-7.482,+17
dla60,65.200,34.800,85.760,14.240,22.04,224,0.875,bilinear,-11.832,-7.558,+3
ese_vovnet19b_dw,65.190,34.810,85.470,14.530,6.54,224,0.875,bicubic,-11.608,-7.798,+8
tf_efficientnet_cc_b0_4e,65.150,34.850,85.160,14.840,13.31,224,0.875,bicubic,-12.156,-8.174,-8
@ -313,40 +334,44 @@ legacy_seresnext26_32x4d,65.050,34.950,85.660,14.340,16.79,224,0.875,bicubic,-12
mobilenetv2_120d,65.030,34.970,85.960,14.040,5.83,224,0.875,bicubic,-12.254,-7.532,-9
hrnet_w18,64.920,35.080,85.740,14.260,21.30,224,0.875,bilinear,-11.838,-7.704,+4
hardcorenas_c,64.860,35.140,85.250,14.750,5.52,224,0.875,bilinear,-12.194,-7.908,-5
densenet169,64.760,35.240,85.240,14.760,14.15,224,0.875,bicubic,-11.146,-7.786,+17
densenet169,64.760,35.240,85.240,14.760,14.15,224,0.875,bicubic,-11.146,-7.786,+20
mixnet_m,64.700,35.300,85.450,14.550,5.01,224,0.875,bicubic,-12.560,-7.974,-12
resnet26d,64.680,35.320,85.120,14.880,16.01,224,0.875,bicubic,-12.016,-8.030,+1
levit_128s,64.610,35.390,84.730,15.270,7.78,224,0.900,bicubic,-11.920,-8.136,+6
repvgg_a2,64.450,35.550,85.130,14.870,28.21,224,0.875,bilinear,-12.010,-7.874,+7
hardcorenas_b,64.420,35.580,84.870,15.130,5.18,224,0.875,bilinear,-12.118,-7.884,+3
tf_efficientnet_lite1,64.380,35.620,85.470,14.530,5.42,240,0.882,bicubic,-12.262,-7.756,-3
levit_128s,64.610,35.390,84.730,15.270,7.78,224,0.900,bicubic,-11.920,-8.136,+7
repvgg_a2,64.450,35.550,85.130,14.870,28.21,224,0.875,bilinear,-12.010,-7.874,+8
hardcorenas_b,64.420,35.580,84.870,15.130,5.18,224,0.875,bilinear,-12.118,-7.884,+4
tf_efficientnet_lite1,64.380,35.620,85.470,14.530,5.42,240,0.882,bicubic,-12.262,-7.756,-2
regnetx_016,64.380,35.620,85.470,14.530,9.19,224,0.875,bicubic,-12.570,-7.950,-10
tf_efficientnet_b0,64.310,35.690,85.280,14.720,5.29,224,0.875,bicubic,-12.538,-7.948,-8
tf_mixnet_m,64.270,35.730,85.090,14.910,5.01,224,0.875,bicubic,-12.672,-8.062,-12
resmlp_12_224,64.350,35.650,85.580,14.420,15.35,224,0.875,bicubic,-12.304,-7.600,-4
tf_efficientnet_b0,64.310,35.690,85.280,14.720,5.29,224,0.875,bicubic,-12.538,-7.948,-9
tf_mixnet_m,64.270,35.730,85.090,14.910,5.01,224,0.875,bicubic,-12.672,-8.062,-13
dpn68,64.230,35.770,85.180,14.820,12.61,224,0.875,bicubic,-12.088,-7.798,+2
tf_efficientnet_es,64.230,35.770,84.740,15.260,5.44,224,0.875,bicubic,-12.364,-8.462,-5
regnety_008,64.160,35.840,85.270,14.730,6.26,224,0.875,bicubic,-12.156,-7.796,+1
mobilenetv2_140,64.060,35.940,85.040,14.960,6.11,224,0.875,bicubic,-12.456,-7.956,-3
densenet121,63.750,36.250,84.590,15.410,7.98,224,0.875,bicubic,-11.828,-8.062,+7
hardcorenas_a,63.710,36.290,84.400,15.600,5.26,224,0.875,bilinear,-12.206,-8.114,+1
resnest14d,63.590,36.410,84.250,15.750,10.61,224,0.875,bilinear,-11.916,-8.268,+7
tf_mixnet_s,63.560,36.440,84.270,15.730,4.13,224,0.875,bicubic,-12.090,-8.358,+2
resnet26,63.470,36.530,84.260,15.740,16.00,224,0.875,bicubic,-11.822,-8.310,+8
mixnet_s,63.390,36.610,84.740,15.260,4.13,224,0.875,bicubic,-12.602,-8.056,-4
mobilenetv3_large_100,63.360,36.640,84.090,15.910,5.48,224,0.875,bicubic,-12.406,-8.452,-2
efficientnet_es_pruned,63.330,36.670,84.950,15.050,5.44,224,0.875,bicubic,-11.670,-7.498,+13
tv_resnet50,63.330,36.670,84.640,15.360,25.56,224,0.875,bilinear,-12.808,-8.224,-8
mixer_b16_224,63.280,36.720,83.310,16.690,59.88,224,0.875,bicubic,-13.322,-8.918,-18
vit_small_patch32_224,64.070,35.930,85.560,14.440,22.88,224,0.900,bicubic,-11.920,-7.712,+3
mobilenetv2_140,64.060,35.940,85.040,14.960,6.11,224,0.875,bicubic,-12.456,-7.956,-4
densenet121,63.750,36.250,84.590,15.410,7.98,224,0.875,bicubic,-11.828,-8.062,+8
hardcorenas_a,63.710,36.290,84.400,15.600,5.26,224,0.875,bilinear,-12.206,-8.114,+2
resnest14d,63.590,36.410,84.250,15.750,10.61,224,0.875,bilinear,-11.916,-8.268,+8
tf_mixnet_s,63.560,36.440,84.270,15.730,4.13,224,0.875,bicubic,-12.090,-8.358,+3
resnet26,63.470,36.530,84.260,15.740,16.00,224,0.875,bicubic,-11.822,-8.310,+10
mixnet_s,63.390,36.610,84.740,15.260,4.13,224,0.875,bicubic,-12.602,-8.056,-5
mobilenetv3_large_100,63.360,36.640,84.090,15.910,5.48,224,0.875,bicubic,-12.406,-8.452,-1
vit_tiny_r_s16_p8_384,63.340,36.660,85.280,14.720,6.36,384,1.000,bicubic,-12.612,-7.980,-5
efficientnet_es_pruned,63.330,36.670,84.950,15.050,5.44,224,0.875,bicubic,-11.670,-7.498,+14
tv_resnet50,63.330,36.670,84.640,15.360,25.56,224,0.875,bilinear,-12.808,-8.224,-10
mixer_b16_224,63.280,36.720,83.310,16.690,59.88,224,0.875,bicubic,-13.322,-8.918,-20
efficientnet_lite0,63.240,36.760,84.440,15.560,4.65,224,0.875,bicubic,-12.244,-8.070,0
mobilenetv3_rw,63.220,36.780,84.510,15.490,5.48,224,0.875,bicubic,-12.414,-8.198,-5
pit_ti_distilled_224,63.150,36.850,83.960,16.040,5.10,224,0.900,bicubic,-11.380,-8.136,+15
semnasnet_100,63.150,36.850,84.520,15.480,3.89,224,0.875,bicubic,-12.298,-8.084,-2
regnety_006,63.110,36.890,84.250,15.750,6.06,224,0.875,bicubic,-12.136,-8.282,-1
pit_ti_distilled_224,63.150,36.850,83.960,16.040,5.10,224,0.900,bicubic,-11.380,-8.136,+16
semnasnet_100,63.150,36.850,84.520,15.480,3.89,224,0.875,bicubic,-12.298,-8.084,-1
regnety_006,63.110,36.890,84.250,15.750,6.06,224,0.875,bicubic,-12.136,-8.282,0
vit_tiny_patch16_224,63.110,36.890,84.850,15.150,5.72,224,0.900,bicubic,-12.344,-7.998,-4
tv_densenet121,62.940,37.060,84.250,15.750,7.98,224,0.875,bicubic,-11.798,-7.900,+8
resnet34,62.870,37.130,84.140,15.860,21.80,224,0.875,bilinear,-12.240,-8.144,+1
legacy_seresnet34,62.850,37.150,84.210,15.790,21.96,224,0.875,bilinear,-11.958,-7.914,+5
mobilenetv2_110d,62.830,37.170,84.500,15.500,4.52,224,0.875,bicubic,-12.206,-7.686,+1
vit_deit_tiny_distilled_patch16_224,62.810,37.190,83.930,16.070,5.91,224,0.900,bicubic,-11.700,-7.960,+9
deit_tiny_distilled_patch16_224,62.810,37.190,83.930,16.070,5.91,224,0.900,bicubic,-11.700,-7.960,+9
hrnet_w18_small_v2,62.800,37.200,83.980,16.020,15.60,224,0.875,bilinear,-12.314,-8.436,-4
swsl_resnet18,62.760,37.240,84.300,15.700,11.69,224,0.875,bilinear,-10.516,-7.434,+16
repvgg_b0,62.720,37.280,83.860,16.140,15.82,224,0.875,bilinear,-12.432,-8.558,-8
@ -354,7 +379,7 @@ gluon_resnet34_v1b,62.570,37.430,83.990,16.010,21.80,224,0.875,bicubic,-12.018,-
tf_efficientnet_lite0,62.550,37.450,84.220,15.780,4.65,224,0.875,bicubic,-12.280,-7.956,-3
regnetx_008,62.490,37.510,84.020,15.980,7.26,224,0.875,bicubic,-12.548,-8.316,-7
dla34,62.480,37.520,83.910,16.090,15.74,224,0.875,bilinear,-12.150,-8.168,-1
tf_mobilenetv3_large_100,62.460,37.540,83.970,16.030,5.48,224,0.875,bilinear,-13.058,-8.636,-19
tf_mobilenetv3_large_100,62.460,37.540,83.970,16.030,5.48,224,0.875,bilinear,-13.058,-8.636,-20
fbnetc_100,62.440,37.560,83.380,16.620,5.57,224,0.875,bilinear,-12.684,-9.006,-13
mnasnet_100,61.900,38.100,83.710,16.290,4.38,224,0.875,bicubic,-12.758,-8.404,-5
regnety_004,61.870,38.130,83.430,16.570,4.34,224,0.875,bicubic,-12.164,-8.322,+1
@ -371,25 +396,26 @@ vgg16_bn,60.760,39.240,82.950,17.050,138.37,224,0.875,bilinear,-12.590,-8.556,-5
tf_mobilenetv3_large_075,60.400,39.600,81.950,18.050,3.99,224,0.875,bilinear,-13.038,-9.400,-7
mobilenetv2_100,60.190,39.810,82.240,17.760,3.50,224,0.875,bicubic,-12.780,-8.776,-2
resnet18d,60.160,39.840,82.300,17.700,11.71,224,0.875,bicubic,-12.100,-8.396,+3
vit_deit_tiny_patch16_224,59.830,40.170,82.670,17.330,5.72,224,0.900,bicubic,-12.338,-8.448,+4
legacy_seresnet18,59.800,40.200,81.690,18.310,11.78,224,0.875,bicubic,-11.942,-8.644,+5
deit_tiny_patch16_224,59.830,40.170,82.670,17.330,5.72,224,0.900,bicubic,-12.338,-8.448,+4
legacy_seresnet18,59.800,40.200,81.690,18.310,11.78,224,0.875,bicubic,-11.942,-8.644,+6
vgg19,59.710,40.290,81.450,18.550,143.67,224,0.875,bilinear,-12.658,-9.422,-2
regnetx_004,59.410,40.590,81.690,18.310,5.16,224,0.875,bicubic,-12.986,-9.140,-4
tf_mobilenetv3_large_minimal_100,59.070,40.930,81.150,18.850,3.92,224,0.875,bilinear,-13.178,-9.480,-1
vit_tiny_r_s16_p8_224,59.070,40.930,81.760,18.240,6.34,224,0.900,bicubic,-12.718,-9.068,+1
vgg13_bn,59.000,41.000,81.070,18.930,133.05,224,0.875,bilinear,-12.594,-9.306,+2
hrnet_w18_small,58.950,41.050,81.340,18.660,13.19,224,0.875,bilinear,-13.394,-9.338,-5
hrnet_w18_small,58.950,41.050,81.340,18.660,13.19,224,0.875,bilinear,-13.392,-9.338,-6
vgg16,58.830,41.170,81.660,18.340,138.36,224,0.875,bilinear,-12.764,-8.722,+1
gluon_resnet18_v1b,58.340,41.660,80.970,19.030,11.69,224,0.875,bicubic,-12.496,-8.792,+1
vgg11_bn,57.410,42.590,80.020,19.980,132.87,224,0.875,bilinear,-12.950,-9.782,+1
resnet18,57.170,42.830,80.200,19.800,11.69,224,0.875,bilinear,-12.578,-8.878,+3
vgg13,57.150,42.850,79.540,20.460,133.05,224,0.875,bilinear,-12.776,-9.706,+1
regnety_002,57.000,43.000,79.840,20.160,3.16,224,0.875,bicubic,-13.252,-9.700,-1
mixer_l16_224,56.690,43.310,75.990,24.010,208.20,224,0.875,bicubic,-15.368,-11.678,-8
mixer_l16_224,56.690,43.310,75.990,24.010,208.20,224,0.875,bicubic,-15.368,-11.678,-9
regnetx_002,56.050,43.950,79.210,20.790,2.68,224,0.875,bicubic,-12.712,-9.346,+1
dla60x_c,56.000,44.000,78.930,21.070,1.32,224,0.875,bilinear,-11.892,-9.496,+2
vgg11,55.800,44.200,78.830,21.170,132.86,224,0.875,bilinear,-13.224,-9.798,-2
tf_mobilenetv3_small_100,54.530,45.470,77.060,22.940,2.54,224,0.875,bilinear,-13.392,-10.604,-1
dla46x_c,53.050,46.950,76.870,23.130,1.07,224,0.875,bilinear,-12.920,-10.110,0
tf_mobilenetv3_small_075,52.160,47.840,75.470,24.530,2.04,224,0.875,bilinear,-13.556,-10.660,0
dla46_c,52.130,47.870,75.690,24.310,1.30,224,0.875,bilinear,-12.734,-10.602,0
dla46_c,52.130,47.870,75.690,24.310,1.30,224,0.875,bilinear,-12.736,-10.602,0
tf_mobilenetv3_small_minimal_100,49.500,50.500,73.050,26.950,2.04,224,0.875,bilinear,-13.406,-11.180,0

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation top1_diff top5_diff rank_diff
2 tf_efficientnet_l2_ns_475 80.460 19.540 95.730 4.270 480.31 475 0.936 bicubic -7.774 -2.816 +1
3 tf_efficientnet_l2_ns 80.250 19.750 95.840 4.160 480.31 800 0.960 bicubic -8.102 -2.810 -1
4 tf_efficientnet_b7_ns 78.510 21.490 94.380 5.620 66.35 600 0.949 bicubic -8.330 -3.714 +1 +2
5 vit_large_patch16_384 77.940 22.060 94.450 5.550 304.72 384 1.000 bicubic -9.140 -3.850 0
6 tf_efficientnet_b6_ns 77.280 22.720 93.890 6.110 43.04 528 0.942 bicubic -9.172 -3.992 +2
7 swin_large_patch4_window12_384 vit_large_r50_s32_384 77.040 77.060 22.960 22.940 93.750 93.720 6.250 6.280 196.74 329.09 384 1.000 bicubic -10.108 -9.124 -4.484 -4.198 -2 +5
8 tf_efficientnetv2_l_in21ft1k swin_large_patch4_window12_384 76.940 77.040 23.060 22.960 93.950 93.750 6.050 6.250 118.52 196.74 480 384 1.000 bicubic -9.364 -10.108 -4.028 -4.484 +3 -4
9 cait_m48_448 tf_efficientnetv2_l_in21ft1k 76.870 76.940 23.130 23.060 93.370 93.950 6.630 6.050 356.46 118.52 448 480 1.000 bicubic -9.614 -9.364 -4.384 -4.028 -2 +2
10 ig_resnext101_32x48d cait_m48_448 76.870 23.130 93.310 93.370 6.690 6.630 828.41 356.46 224 448 0.875 1.000 bilinear bicubic -8.558 -9.614 -4.262 -4.384 +11 -3
11 ig_resnext101_32x32d ig_resnext101_32x48d 76.840 76.870 23.160 23.130 93.200 93.310 6.800 6.690 468.53 828.41 224 0.875 bilinear -8.254 -8.558 -4.238 -4.262 +18 +13
12 ig_resnext101_32x32d 76.840 23.160 93.200 6.800 468.53 224 0.875 bilinear -8.254 -4.238 +19
13 tf_efficientnet_b5_ns 76.810 23.190 93.580 6.420 30.39 456 0.934 bicubic -9.278 -4.172 +1
14 cait_m36_384 vit_base_patch16_384 76.320 76.500 23.680 23.500 93.050 93.750 6.950 6.250 271.22 86.86 384 1.000 bicubic -9.734 -9.506 -4.680 -4.250 +1 +2
15 cait_m36_384 76.320 23.680 93.050 6.950 271.22 384 1.000 bicubic -9.734 -4.680 0
16 vit_large_patch16_224 76.290 23.710 93.600 6.400 304.33 224 0.900 bicubic -9.552 -4.224 +1
17 swin_base_patch4_window12_384 76.280 23.720 93.320 6.680 87.90 384 1.000 bicubic -10.152 -4.738 -8
18 tf_efficientnetv2_l 76.280 23.720 92.970 7.030 118.52 480 1.000 bicubic -9.210 -4.402 +4
19 swin_base_patch4_window12_384 swin_large_patch4_window7_224 76.280 76.270 23.720 23.730 93.320 93.420 6.680 6.580 87.90 196.53 384 224 1.000 0.900 bicubic -10.152 -10.050 -4.738 -4.476 -5 -9
swin_large_patch4_window7_224 76.270 23.730 93.420 6.580 196.53 224 0.900 bicubic -10.050 -4.476 -6
20 cait_s36_384 76.210 23.790 92.970 7.030 68.37 384 1.000 bicubic -9.250 -4.510 +3
21 dm_nfnet_f6 76.180 76.130 23.820 23.870 93.220 93.110 6.780 6.890 438.36 576 0.956 bicubic -10.116 -10.014 -4.524 -4.620 -6 -8
22 tf_efficientnet_b7_ap 76.090 23.910 92.970 7.030 66.35 600 0.949 bicubic -9.030 -4.282 +9 +8
23 tf_efficientnet_b8_ap 76.090 23.910 92.730 7.270 87.41 672 0.954 bicubic -9.280 -4.564 +4
24 tf_efficientnetv2_m_in21ft1k 75.920 24.080 93.280 6.720 54.14 480 1.000 bicubic -9.668 -4.472 -4
25 dm_nfnet_f4 75.750 75.850 24.250 24.150 92.790 92.950 7.210 7.050 316.07 512 0.951 bicubic -9.908 -9.864 -4.720 -4.570 -6
26 ig_resnext101_32x16d 75.720 24.280 92.910 7.090 194.03 224 0.875 bilinear -8.450 -4.286 +29 +31
27 tf_efficientnet_b4_ns 75.670 24.330 93.050 6.950 19.34 380 0.922 bicubic -9.492 -4.420 +2
28 vit_base_r50_s16_384 75.590 24.410 92.790 7.210 98.95 384 1.000 bicubic -9.382 -4.498 +10 +9
29 vit_deit_base_distilled_patch16_384 deit_base_distilled_patch16_384 75.550 24.450 92.500 7.500 87.63 384 1.000 bicubic -9.872 -4.832 -4
30 tf_efficientnetv2_m 75.520 24.480 92.620 7.380 54.14 480 1.000 bicubic -9.524 -4.658 +4
31 cait_s24_384 75.480 24.520 92.600 7.400 47.06 384 1.000 bicubic -9.566 -4.746 +2
32 swsl_resnext101_32x8d 75.430 24.570 92.760 7.240 88.79 224 0.875 bilinear -8.854 -4.416 +19 +22
dm_nfnet_f3 75.410 24.590 92.830 7.170 254.92 416 0.940 bicubic -10.150 -4.576 -12
33 tf_efficientnet_b6_ap 75.380 24.620 92.440 7.560 43.04 528 0.942 bicubic -9.408 -4.698 +8
34 efficientnetv2_rw_m dm_nfnet_f3 75.170 75.210 24.830 24.790 92.570 92.940 7.430 7.060 53.24 254.92 416 1.000 0.940 bicubic -9.638 -10.312 -4.578 -4.522 +6 -13
35 vit_large_patch16_384 efficientnetv2_rw_m 75.150 75.170 24.850 24.830 92.660 92.570 7.340 7.430 304.72 53.24 384 416 1.000 bicubic -10.008 -9.638 -4.696 -4.578 -6 +5
36 ecaresnet269d 75.120 24.880 92.840 7.160 102.09 352 1.000 bicubic -9.856 -4.386 0
37 dm_nfnet_f5 75.000 25.000 92.600 7.400 377.21 544 0.954 bicubic -10.814 -4.888 -19
38 tf_efficientnet_b8 74.940 25.060 92.310 7.690 87.41 672 0.954 bicubic -10.430 -5.080 -12
39 dm_nfnet_f5 eca_nfnet_l2 74.790 74.830 25.210 25.170 92.460 92.650 7.540 7.350 377.21 56.72 544 384 0.954 1.000 bicubic -10.924 -9.868 -4.982 -4.614 -21 +4
40 tf_efficientnet_b7 74.720 25.280 92.220 7.780 66.35 600 0.949 bicubic -10.216 -4.984 -1 -2
41 tf_efficientnet_b5_ap dm_nfnet_f2 74.600 74.620 25.400 25.380 91.990 92.260 8.010 7.740 30.39 193.78 456 352 0.934 0.920 bicubic -9.652 -10.444 -4.984 -4.980 +12 -9
42 swin_base_patch4_window7_224 tf_efficientnet_b5_ap 74.570 74.600 25.430 25.400 92.560 91.990 7.440 8.010 87.77 30.39 224 456 0.900 0.934 bicubic -10.682 -9.652 -5.002 -4.984 -14 +14
43 seresnet152d dm_nfnet_f1 74.510 74.570 25.490 25.430 92.080 92.260 7.920 7.740 66.84 132.63 320 1.000 0.910 bicubic -9.852 -10.056 -4.960 -4.840 +6 +1
44 resnest200e swin_base_patch4_window7_224 74.480 74.570 25.520 25.430 91.860 92.560 8.140 7.440 70.20 87.77 320 224 0.909 0.900 bicubic -9.352 -10.682 -5.034 -5.002 +20 -16
45 dm_nfnet_f2 seresnet152d 74.450 74.510 25.550 25.490 92.230 92.080 7.770 7.920 193.78 66.84 352 320 0.920 1.000 bicubic -10.540 -9.852 -4.914 -4.960 -9 +7
46 tf_efficientnetv2_s_in21ft1k resnest200e 74.450 74.480 25.550 25.520 92.510 91.860 7.490 8.140 21.46 70.20 384 320 1.000 0.909 bicubic -9.852 -9.352 -4.742 -5.034 +4 +23
47 dm_nfnet_f1 tf_efficientnetv2_s_in21ft1k 74.400 74.450 25.600 25.550 92.350 92.510 7.650 7.490 132.63 21.46 320 384 0.910 1.000 bicubic -10.204 -9.852 -4.718 -4.742 -3 +6
48 efficientnetv2_rw_s 74.170 25.830 91.710 8.290 23.94 384 1.000 bicubic -9.638 -5.014 +18 +23
49 resnest269e 74.170 25.830 91.950 8.050 110.93 416 0.928 bicubic -10.348 -5.036 -4 -3
50 cait_xs24_384 74.160 25.840 91.910 8.090 26.67 384 1.000 bicubic -9.902 -4.978 +9 +11
51 pit_b_distilled_224 74.160 25.840 91.680 8.320 74.79 224 0.900 bicubic -9.984 -5.176 +5 +7
52 swsl_resnext101_32x4d 74.140 25.860 91.990 8.010 44.18 224 0.875 bilinear -9.090 -4.770 +26 +33
53 vit_base_patch16_384 eca_nfnet_l1 74.130 74.120 25.870 25.880 92.360 92.070 7.640 7.930 86.86 41.41 384 320 1.000 bicubic -10.080 -9.890 -4.858 -4.958 +1 +12
54 eca_nfnet_l1 vit_large_r50_s32_224 74.060 74.100 25.940 25.900 92.120 92.390 7.880 7.610 41.41 328.99 320 224 1.000 0.900 bicubic -9.948 -10.334 -4.908 -4.774 +7 -4
55 vit_base_patch16_224_miil 74.040 25.960 91.700 8.300 86.54 224 0.875 bilinear -10.228 -5.102 -3 0
56 swsl_resnext101_32x16d 74.020 25.980 92.160 7.840 194.03 224 0.875 bilinear -9.326 -4.686 +19 +27
57 tf_efficientnetv2_s resnetv2_152x4_bitm 74.000 74.010 26.000 25.990 91.530 92.340 8.470 7.660 21.46 936.53 384 480 1.000 bicubic bilinear -9.894 -10.906 -5.168 -5.102 +5 -18
58 resnetv2_152x4_bitm tf_efficientnetv2_s 74.000 26.000 92.340 91.530 7.660 8.470 936.53 21.46 480 384 1.000 bilinear bicubic -10.932 -9.894 -5.096 -5.168 -17 +9
59 resnetrs420 vit_base_patch16_224 73.920 74.000 26.080 26.000 91.760 92.470 8.240 7.530 191.89 86.57 416 224 1.000 0.900 bicubic -11.088 -10.532 -5.364 -4.824 -24 -14
60 resnetrs420 73.920 26.080 91.760 8.240 191.89 416 1.000 bicubic -11.088 -5.364 -25
61 resnetv2_152x2_bitm 73.920 26.080 92.670 7.330 236.34 448 1.000 bilinear -10.590 -4.762 -14
62 tf_efficientnet_b6 73.900 26.100 91.750 8.250 43.04 528 0.942 bicubic -10.210 -5.136 -3
63 tf_efficientnet_b3_ns 73.890 26.110 91.870 8.130 12.23 300 0.904 bicubic -10.158 -5.040 -1
64 resnetrs270 resmlp_big_24_224_in22ft1k 73.710 73.880 26.290 26.120 91.580 91.750 8.420 8.250 129.86 129.14 352 224 1.000 0.875 bicubic -10.724 -10.514 -5.390 -5.370 -15 -13
65 vit_small_r26_s32_384 73.800 26.200 92.300 7.700 36.47 384 1.000 bicubic -10.246 -5.028 -2
66 resnetrs270 73.710 26.290 91.580 8.420 129.86 352 1.000 bicubic -10.724 -5.390 -17
67 resnet200d 73.680 26.320 91.570 8.430 64.69 320 1.000 bicubic -10.282 -5.254 -1
68 ig_resnext101_32x8d resnetv2_101x3_bitm 73.650 73.670 26.350 26.330 92.190 92.470 7.810 7.530 88.79 387.93 224 448 0.875 1.000 bilinear -9.038 -10.770 -4.446 -4.912 +29 -20
69 resnetv2_152x2_bitm ig_resnext101_32x8d 73.630 73.650 26.370 26.350 92.590 92.190 7.410 7.810 236.34 88.79 480 224 1.000 0.875 bilinear -10.810 -9.038 -4.856 -4.446 -19 +32
70 tf_efficientnet_b5 73.550 26.450 91.460 8.540 30.39 456 0.934 bicubic -10.262 -5.288 -1 0
71 resnetv2_101x3_bitm resnet152d 73.530 73.520 26.470 26.480 92.570 91.230 7.430 8.770 387.93 60.21 480 320 1.000 bilinear bicubic -10.864 -10.160 -4.792 -5.508 -19 +4
72 resnet152d resnetrs200 73.520 73.500 26.480 26.500 91.230 91.250 8.770 8.750 60.21 93.21 320 1.000 bicubic -10.160 -10.566 -5.508 -5.624 +2 -12
73 resnetrs200 resnetrs350 73.500 73.400 26.500 26.600 91.250 91.310 8.750 8.690 93.21 163.96 320 384 1.000 bicubic -10.566 -11.320 -5.624 -5.678 -11 -31
74 resnetrs350 twins_svt_large 73.400 73.390 26.600 26.610 91.310 90.910 8.690 9.090 163.96 99.27 384 224 1.000 0.900 bicubic -11.320 -10.288 -5.678 -5.684 -27 +2
75 twins_svt_large regnety_160 73.390 73.360 26.610 26.640 90.910 91.690 9.090 8.310 99.27 83.59 224 288 0.900 1.000 bicubic -10.288 -10.326 -5.684 -5.086 0 -1
76 regnety_160 efficientnet_b4 73.360 73.320 26.640 26.680 91.690 91.280 8.310 8.720 83.59 19.34 288 384 1.000 bicubic -10.326 -10.108 -5.086 -5.316 -3 +3
77 efficientnet_b4 resmlp_big_24_distilled_224 73.320 73.290 26.680 26.710 91.280 91.160 8.720 8.840 19.34 129.14 384 224 1.000 0.875 bicubic -10.108 -10.300 -5.316 -5.488 0
78 vit_deit_base_distilled_patch16_224 vit_small_patch16_384 73.240 73.290 26.760 26.710 91.000 91.990 9.000 8.010 87.34 22.20 224 384 0.900 1.000 bicubic -10.148 -10.512 -5.488 -5.112 0 -6
79 deit_base_distilled_patch16_224 73.240 26.760 91.000 9.000 87.34 224 0.900 bicubic -10.148 -5.488 +1
80 resnetrs152 73.200 26.800 91.260 8.740 86.62 320 1.000 bicubic -10.512 -5.354 -7
81 vit_base_patch32_384 73.130 26.870 91.240 8.760 88.30 384 1.000 bicubic -10.220 -5.596 +1
82 cait_s24_224 73.070 26.930 91.130 8.870 46.92 224 1.000 bicubic -10.382 -5.434 -4
83 resnetv2_152x2_bit_teacher_384 72.890 27.110 91.550 8.450 236.34 384 1.000 bicubic -10.954 -5.568 -15
84 tf_efficientnet_b4_ap 72.890 27.110 90.980 9.020 19.34 380 0.922 bicubic -10.358 -5.412 0
85 dm_nfnet_f0 72.790 72.880 27.210 27.120 91.040 91.080 8.960 8.920 71.49 256 0.900 bicubic -10.552 -10.506 -5.520 -5.492 -2 -4
86 regnety_032 72.770 27.230 90.950 9.050 19.44 288 1.000 bicubic -9.954 -5.474 +12 +13
87 pnasnet5large nfnet_l0 72.610 27.390 90.510 91.010 9.490 8.990 86.06 35.07 331 288 0.911 1.000 bicubic -10.172 -10.140 -5.530 -5.506 +8 +11
88 nfnet_l0 pnasnet5large 72.610 27.390 91.010 90.510 8.990 9.490 35.07 86.06 288 331 1.000 0.911 bicubic -10.150 -10.172 -5.488 -5.530 +10 +9
89 twins_pcpvt_large 72.580 27.420 90.700 9.300 60.99 224 0.900 bicubic -10.560 -5.898 -2
90 resnest101e 72.570 27.430 90.820 9.180 48.28 256 0.875 bilinear -10.320 -5.500 +5 +4
91 swsl_resnext50_32x4d 72.560 27.440 90.870 9.130 25.03 224 0.875 bilinear -9.622 -5.360 +25 +26
tresnet_xl_448 72.550 27.450 90.310 9.690 78.44 448 0.875 bilinear -10.500 -5.864 0
92 twins_svt_base 72.550 27.450 90.460 9.540 56.07 224 0.900 bicubic -10.586 -5.958 -5
93 vit_deit_base_patch16_384 tresnet_xl_448 72.530 72.550 27.470 27.450 90.250 90.310 9.750 9.690 86.86 78.44 384 448 1.000 0.875 bicubic bilinear -10.576 -10.500 -6.122 -5.864 -5 -1
94 resnet101d deit_base_patch16_384 72.410 72.530 27.590 27.470 90.650 90.250 9.350 9.750 44.57 86.86 320 384 1.000 bicubic -10.612 -10.576 -5.796 -6.122 -2 -5
95 tf_efficientnet_b4 resnetv2_50x3_bitm 72.290 72.530 27.710 27.470 90.590 91.760 9.410 8.240 19.34 217.32 380 448 0.922 1.000 bicubic bilinear -10.732 -11.484 -5.710 -5.364 -2 -31
96 resnet101d 72.410 27.590 90.650 9.350 44.57 320 1.000 bicubic -10.612 -5.796 -4
97 tf_efficientnet_b4 72.290 27.710 90.590 9.410 19.34 380 0.922 bicubic -10.732 -5.710 -4
98 tf_efficientnet_b2_ns 72.280 27.720 91.090 8.910 9.11 260 0.890 bicubic -10.100 -5.158 +8
99 tresnet_m 72.270 27.730 90.240 9.760 31.39 224 0.875 bilinear -10.810 -5.878 -8 -9
100 vit_large_patch16_224 resnetv2_50x1_bit_distilled 72.250 72.260 27.750 27.740 90.990 91.010 9.010 8.990 304.33 25.55 224 0.900 0.875 bicubic -10.812 -10.558 -5.448 -5.512 -8 -4
101 nasnetalarge 72.230 27.770 90.470 9.530 88.75 331 0.911 bicubic -10.390 -5.576 +1
102 cait_xxs36_384 72.190 27.810 90.840 9.160 17.37 384 1.000 bicubic -10.004 -5.308 +14
103 resnetv2_50x3_bitm twins_pcpvt_base 72.180 27.820 91.790 90.510 8.210 9.490 217.32 43.83 480 224 1.000 0.900 bilinear bicubic -11.604 -10.528 -5.316 -5.836 -28 -3
104 twins_pcpvt_base eca_nfnet_l0 72.180 71.840 27.820 28.160 90.510 91.110 9.490 8.890 43.83 24.14 224 288 0.900 1.000 bicubic -10.528 -10.740 -5.836 -5.380 -4 0
eca_nfnet_l0 71.850 28.150 91.130 8.870 24.14 288 1.000 bicubic -10.738 -5.344 -2
105 swin_small_patch4_window7_224 71.740 28.260 90.240 9.760 49.61 224 0.900 bicubic -11.472 -6.082 -19
106 pit_b_224 swsl_resnet50 71.700 28.300 89.250 90.500 10.750 9.500 73.76 25.56 224 0.900 0.875 bicubic bilinear -10.746 -9.466 -6.460 -5.472 -2 +42
107 swsl_resnet50 pit_b_224 71.700 28.300 90.500 89.250 9.500 10.750 25.56 73.76 224 0.875 0.900 bilinear bicubic -9.466 -10.746 -5.472 -6.460 +41 -1
108 tresnet_xl 71.660 28.340 89.630 10.370 78.44 224 0.875 bilinear -10.394 -6.306 +11 +12
109 convit_base 71.600 28.400 90.150 9.850 86.54 224 0.875 bicubic -10.690 -5.788 +1 +3
110 tresnet_l_448 71.600 28.400 90.050 9.950 55.99 448 0.875 bilinear -10.668 -5.926 +2 +4
111 ssl_resnext101_32x8d 71.500 28.500 90.460 9.540 88.79 224 0.875 bilinear -10.116 -5.578 +20
112 ecaresnet101d 71.490 28.510 90.330 9.670 44.57 224 0.875 bicubic -10.682 -5.716 +5 +6
113 efficientnet_b3 71.480 28.520 90.060 9.940 12.23 320 1.000 bicubic -10.762 -6.054 0 +2
114 resnet51q 71.430 28.570 90.180 9.820 35.70 288 1.000 bilinear -10.930 -6.000 -8 -7
115 ssl_resnext101_32x16d 71.410 28.590 90.560 9.440 194.03 224 0.875 bilinear -10.434 -5.536 +8 +10
116 pit_s_distilled_224 71.380 28.620 89.780 10.220 24.04 224 0.900 bicubic -10.616 -6.018 +5 +6
117 vit_base_patch16_224 mixer_b16_224_miil 71.330 71.300 28.670 28.700 90.460 89.650 9.540 10.350 86.57 59.88 224 0.900 0.875 bicubic bilinear -10.456 -11.008 -5.662 -6.066 +8 -6
118 mixer_b16_224_miil resnetv2_152x2_bit_teacher 71.300 71.290 28.700 28.710 89.650 90.430 10.350 9.570 59.88 236.34 224 0.875 bilinear bicubic -11.008 -11.572 -6.066 -6.138 -9 -23
119 ecaresnet50t 71.280 28.720 90.420 9.580 25.57 320 0.950 bicubic -11.066 -5.718 -12 -11
120 vit_base_patch32_384 deit_base_patch16_224 71.180 71.170 28.820 28.830 90.630 89.200 9.370 10.800 88.30 86.57 384 224 1.000 0.900 bicubic -10.472 -10.828 -5.498 -6.534 +8 +1
121 vit_deit_base_patch16_224 resnetv2_101x1_bitm 71.170 71.010 28.830 28.990 89.200 91.090 10.800 8.910 86.57 44.54 224 448 0.900 1.000 bicubic bilinear -10.828 -11.322 -6.534 -5.428 -1 -12
122 visformer_small 71.010 28.990 89.460 10.540 40.22 224 0.900 bicubic -11.096 -6.412 -4 -3
123 tresnet_m_448 70.990 29.010 88.680 11.320 31.39 448 0.875 bilinear -10.724 -6.892 +3 +4
124 resnest50d_4s2x40d 70.950 29.050 89.710 10.290 30.42 224 0.875 bicubic -10.158 -5.848 +27
125 wide_resnet50_2 70.950 29.050 89.230 10.770 68.88 224 0.875 bicubic -10.506 -6.302 +12
resnest50d_4s2x40d 70.950 29.050 89.710 10.290 30.42 224 0.875 bicubic -10.158 -5.848 +25
126 tnt_s_patch16_224 70.930 29.070 89.600 10.400 23.76 224 0.900 bicubic -10.588 -6.148 +7
127 tf_efficientnet_b3_ap vit_small_patch16_224 70.920 70.930 29.080 29.070 89.430 90.140 10.570 9.860 12.23 22.05 300 224 0.904 0.900 bicubic -10.902 -10.472 -6.194 -5.994 -3 +12
128 tf_efficientnet_b3_ap 70.920 29.080 89.430 10.570 12.23 300 0.904 bicubic -10.902 -6.194 -2
129 tf_efficientnet_b1_ns 70.870 29.130 90.120 9.880 7.79 240 0.882 bicubic -10.518 -5.618 +11
130 vit_large_patch32_384 70.860 29.140 90.570 9.430 306.63 384 1.000 bicubic -10.646 -5.522 +6 +5
131 resnetrs101 rexnet_200 70.840 29.160 89.830 89.700 10.170 10.300 63.62 16.37 288 224 0.940 0.875 bicubic -11.448 -10.792 -6.178 -5.968 -19 -2
132 rexnet_200 tresnet_l 70.840 29.160 89.700 89.630 10.300 10.370 16.37 55.99 224 0.875 bicubic bilinear -10.792 -10.650 -5.968 -5.994 -1 +3
133 tresnet_l resnetrs101 70.840 29.160 89.630 89.830 10.370 10.170 55.99 63.62 224 288 0.875 0.940 bilinear bicubic -10.650 -11.448 -5.994 -6.178 +4 -18
134 tf_efficientnetv2_b3 70.830 29.170 89.500 10.500 14.36 300 0.904 bicubic -11.140 -6.282 -11
135 coat_lite_small 70.800 29.200 89.570 10.430 19.84 224 0.900 bicubic -11.508 -6.280 -26 -25
136 levit_384 70.750 29.250 89.300 10.700 39.13 224 0.900 bicubic -11.836 -6.716 -32 -33
resnetv2_101x1_bitm 70.710 29.290 90.800 9.200 44.54 480 1.000 bilinear -11.502 -5.672 -22
137 tf_efficientnet_b3 70.640 29.360 89.440 10.560 12.23 300 0.904 bicubic -10.996 -6.278 -8
138 gluon_senet154 cait_xxs24_384 70.600 29.400 88.920 89.720 11.080 10.280 115.09 12.03 224 384 0.875 1.000 bicubic -10.634 -10.366 -6.428 -5.926 +7 +20
139 cait_xxs24_384 gluon_senet154 70.600 29.400 89.720 88.920 10.280 11.080 12.03 115.09 384 224 1.000 0.875 bicubic -10.366 -10.634 -5.926 -6.428 +17 +8
140 convit_small 70.580 29.420 89.580 10.420 27.78 224 0.875 bicubic -10.846 -6.164 -2
141 twins_pcpvt_small 70.550 29.450 89.070 10.930 24.11 224 0.900 bicubic -10.538 -6.572 +10 +12
142 ssl_resnext101_32x4d 70.530 29.470 89.760 10.240 44.18 224 0.875 bilinear -10.394 -5.968 +14 +17
143 vit_deit_small_distilled_patch16_224 deit_small_distilled_patch16_224 70.520 29.480 89.470 10.530 22.44 224 0.900 bicubic -10.680 -5.908 +4 +5
144 vit_small_r26_s32_224 70.520 29.480 90.110 9.890 36.43 224 0.900 bicubic -11.338 -5.912 -20
145 legacy_senet154 70.500 29.500 89.010 10.990 115.09 224 0.875 bilinear -10.810 -6.486 -1
146 twins_svt_small 70.440 29.560 89.360 10.640 24.06 224 0.900 bicubic -11.242 -6.310 -18
147 gluon_seresnext101_64x4d 70.430 29.570 89.350 10.650 88.23 224 0.875 bicubic -10.464 -5.958 +12 +14
148 tf_efficientnet_lite4 70.430 29.570 89.110 10.890 13.01 380 0.920 bilinear -11.106 -6.558 -15 -16
149 resnest50d 70.410 29.590 88.760 11.240 27.48 224 0.875 bilinear -10.564 -6.618 +6 +8
150 resnest50d_1s4x24d 70.400 29.600 89.220 10.780 25.68 224 0.875 bicubic -10.588 -6.102 +6
151 seresnext50_32x4d 70.400 29.600 89.110 10.890 27.56 224 0.875 bicubic -10.866 -6.510 -5
resnest50d_1s4x24d 70.400 29.600 89.220 10.780 25.68 224 0.875 bicubic -10.588 -6.102 +4
152 gernet_l 70.350 29.650 88.980 11.020 31.08 256 0.875 bilinear -11.004 -6.556 -10
153 gluon_resnet152_v1s 70.290 29.710 88.850 11.150 60.32 224 0.875 bicubic -10.726 -6.562 0 +2
154 repvgg_b3 70.250 29.750 88.730 11.270 123.09 224 0.875 bilinear -10.242 -6.530 +15 +19
155 coat_mini 70.220 29.780 89.440 10.560 10.34 224 0.900 bicubic -11.048 -5.952 -10
156 ecaresnet101d_pruned 70.130 29.870 89.590 10.410 24.88 224 0.875 bicubic -10.688 -6.038 +5 +7
157 efficientnet_el 70.120 29.880 89.290 10.710 10.59 300 0.904 bicubic -11.196 -6.236 -14
158 inception_resnet_v2 70.120 29.880 88.700 11.300 55.84 299 0.897 bicubic -10.338 -6.606 +15 +20
159 gluon_seresnext101_32x4d resmlp_36_distilled_224 70.010 70.090 29.990 29.910 88.900 89.100 11.100 10.900 48.96 44.69 224 0.875 bicubic -10.894 -11.070 -6.394 -6.388 -1 -9
160 regnety_320 gluon_seresnext101_32x4d 70.000 70.010 30.000 29.990 88.890 88.900 11.110 11.100 145.05 48.96 224 0.875 bicubic -10.812 -10.894 -6.354 -6.394 +2 0
161 levit_256 regnety_320 69.970 70.000 30.030 30.000 89.250 88.890 10.750 11.110 18.89 145.05 224 0.900 0.875 bicubic -11.540 -10.812 -6.240 -6.354 -26 +3
162 gluon_resnet152_v1d levit_256 69.960 69.970 30.040 30.030 88.490 89.250 11.510 10.750 60.21 18.89 224 0.875 0.900 bicubic -10.514 -11.540 -6.716 -6.240 +9 -28
163 gluon_resnet152_v1d 69.960 30.040 88.490 11.510 60.21 224 0.875 bicubic -10.514 -6.716 +13
164 pit_s_224 69.890 30.110 88.930 11.070 23.46 224 0.900 bicubic -11.204 -6.402 -12
165 ecaresnet50d 69.840 30.160 89.400 10.600 25.58 224 0.875 bicubic -10.752 -5.920 +3 +6
166 ssl_resnext50_32x4d 69.710 30.290 89.440 10.560 25.03 224 0.875 bilinear -10.608 -5.966 +12 +17
167 gluon_resnext101_64x4d 69.680 30.320 88.270 11.730 83.46 224 0.875 bicubic -10.924 -6.718 0 +3
168 resmlp_24_distilled_224 69.680 30.320 89.050 10.950 30.02 224 0.875 bicubic -11.086 -6.168 -3
169 efficientnet_b3_pruned 69.580 30.420 88.980 11.020 9.86 300 0.904 bicubic -11.278 -6.262 -7
170 nf_resnet50 69.580 69.540 30.420 30.460 88.730 11.270 25.56 288 0.940 bicubic -11.114 -11.120 -6.626 -6.606 -4 -2
171 gernet_m 69.530 30.470 88.690 11.310 21.14 224 0.875 bilinear -11.202 -6.494 -6 -5
172 efficientnet_el_pruned repvgg_b3g4 69.520 30.480 88.930 88.450 11.070 11.550 10.59 83.83 300 224 0.904 0.875 bicubic bilinear -10.780 -10.692 -6.288 -6.660 +10 +18
173 ens_adv_inception_resnet_v2 69.520 30.480 88.510 11.490 55.84 299 0.897 bicubic -10.462 -6.426 -6.428 +25 +28
174 repvgg_b3g4 efficientnet_el_pruned 69.520 30.480 88.450 88.930 11.550 11.070 83.83 10.59 224 300 0.875 0.904 bilinear bicubic -10.694 -10.780 -6.660 -6.098 +14 +15
175 efficientnet_b2 69.500 30.500 88.680 11.320 9.11 288 1.000 bicubic -11.112 -6.638 -8 -6
176 rexnet_150 69.470 30.530 88.980 11.020 9.73 224 0.875 bicubic -10.840 -6.186 +4 +8
177 swin_tiny_patch4_window7_224 69.450 30.550 89.020 10.980 28.29 224 0.900 bicubic -11.928 -6.520 -34 -36
178 regnetx_320 69.440 30.560 88.270 11.730 107.81 224 0.875 bicubic -10.806 -6.756 +8 +12
179 inception_v4 vit_base_patch32_224 69.360 69.410 30.640 30.590 88.780 89.420 11.220 10.580 42.68 88.22 299 224 0.875 0.900 bicubic -10.808 -11.314 -6.188 -6.148 +12 -12
180 legacy_seresnext101_32x4d inception_v4 69.360 30.640 88.070 88.780 11.930 11.220 48.96 42.68 224 299 0.875 bilinear bicubic -10.868 -10.808 -6.948 -6.188 +7 +14
181 ecaresnetlight legacy_seresnext101_32x4d 69.340 69.360 30.660 30.640 89.220 88.070 10.780 11.930 30.16 48.96 224 0.875 bicubic bilinear -11.122 -10.868 -6.030 -6.948 -7 +10
182 resnet50d ecaresnetlight 69.330 69.340 30.670 30.660 88.220 89.220 11.780 10.780 25.58 30.16 224 0.875 bicubic -11.200 -11.122 -6.940 -6.030 -12 -5
183 xception71 resnet50d 69.320 69.330 30.680 30.670 88.260 88.220 11.740 11.780 42.34 25.58 299 224 0.903 0.875 bicubic -10.554 -11.200 -6.662 -6.940 +21 -11
184 gluon_xception65 xception71 69.160 69.320 30.840 30.680 88.090 88.260 11.910 11.740 39.92 42.34 299 0.903 bicubic -10.556 -10.554 -6.770 -6.662 +31 +23
185 gluon_resnet152_v1c vit_small_patch32_384 69.140 69.290 30.860 30.710 87.870 89.820 12.130 10.180 60.21 22.92 224 384 0.875 1.000 bicubic -10.770 -11.190 -6.970 -5.778 +16 -11
186 mixnet_xl gluon_xception65 69.100 69.160 30.900 30.840 88.310 88.090 11.690 11.910 11.90 39.92 224 299 0.875 0.903 bicubic -11.376 -10.556 -6.626 -6.770 -14 +33
187 tf_efficientnetv2_b2 gluon_resnet152_v1c 69.090 69.140 30.910 30.860 88.220 87.870 11.780 12.130 10.10 60.21 260 224 0.890 0.875 bicubic -11.118 -10.770 -6.822 -6.970 +2 +17
188 gluon_resnet101_v1d mixnet_xl 69.010 69.100 30.990 30.900 88.100 88.310 11.900 11.690 44.57 11.90 224 0.875 bicubic -11.404 -11.376 -6.914 -6.626 -12 -13
189 repvgg_b2g4 tf_efficientnetv2_b2 69.000 69.090 31.000 30.910 88.360 88.220 11.640 11.780 61.76 10.10 224 260 0.875 0.890 bilinear bicubic -10.366 -11.118 -6.328 -6.822 +38 +4
190 seresnet50 gluon_resnet101_v1d 68.980 69.010 31.020 30.990 88.710 88.100 11.290 11.900 28.09 44.57 224 0.875 bicubic -11.294 -11.404 -6.360 -6.914 -6 -11
191 xception65 repvgg_b2g4 68.980 69.000 31.020 31.000 88.480 88.360 11.520 11.640 39.92 61.76 299 224 0.903 0.875 bicubic bilinear -10.572 -10.366 -6.174 -6.328 +30 +41
192 gluon_resnext101_32x4d seresnet50 68.960 68.980 31.040 31.020 88.360 88.710 11.640 11.290 44.18 28.09 224 0.875 bicubic -11.374 -11.294 -6.566 -6.360 -14 -4
193 tf_efficientnet_b2_ap xception65 68.920 68.980 31.080 31.020 88.350 88.480 11.650 11.520 9.11 39.92 260 299 0.890 0.903 bicubic -11.380 -10.572 -6.678 -6.174 -10 +32
194 cspdarknet53 gluon_resnext101_32x4d 68.890 68.960 31.110 31.040 88.600 88.360 11.400 11.640 27.64 44.18 256 224 0.887 0.875 bilinear bicubic -11.168 -11.374 -6.484 -6.566 +1 -12
195 regnety_120 tf_efficientnet_b2_ap 68.850 68.920 31.150 31.080 88.330 88.350 11.670 11.650 51.82 9.11 224 260 0.875 0.890 bicubic -11.516 -11.380 -6.796 -6.868 -18 -9
196 gluon_resnet152_v1b cspdarknet53 68.820 68.890 31.180 31.110 87.710 88.600 12.290 11.400 60.19 27.64 224 256 0.875 0.887 bicubic bilinear -10.866 -11.168 -7.026 -6.484 +20 +2
197 dpn131 regnety_120 68.770 68.850 31.230 31.150 87.470 88.330 12.530 11.670 79.25 51.82 224 0.875 bicubic -11.052 -11.516 -7.240 -6.796 +12 -17
198 cspresnext50 gluon_resnet152_v1b 68.760 68.820 31.240 31.180 87.950 87.710 12.050 12.290 20.57 60.19 224 0.875 bilinear bicubic -11.280 -10.866 -6.994 -7.026 -2 +22
199 tf_efficientnet_b2 dpn131 68.750 68.770 31.250 31.230 87.990 87.470 12.010 12.530 9.11 79.25 260 224 0.890 0.875 bicubic -11.336 -11.052 -6.918 -7.240 -5 +13
200 resnext50d_32x4d cspresnext50 68.740 68.760 31.260 31.240 88.300 87.950 11.700 12.050 25.05 20.57 224 0.875 bicubic bilinear -10.936 -11.280 -6.566 -6.994 +17 -1
201 vit_deit_small_patch16_224 tf_efficientnet_b2 68.720 68.750 31.280 31.250 88.200 87.990 11.800 12.010 22.05 9.11 224 260 0.900 0.890 bicubic -11.136 -11.336 -6.852 -6.918 +5 -4
202 gluon_resnet101_v1s resnext50d_32x4d 68.710 68.740 31.290 31.260 87.910 88.300 12.090 11.700 44.67 25.05 224 0.875 bicubic -11.592 -10.936 -7.250 -6.566 -21 +19
203 regnety_080 deit_small_patch16_224 68.700 68.720 31.300 31.280 87.970 88.200 12.030 11.800 39.18 22.05 224 0.875 0.900 bicubic -11.176 -11.136 -6.860 -6.852 0 +5
204 dpn107 gluon_resnet101_v1s 68.690 68.710 31.310 31.290 88.130 87.910 11.870 12.090 86.92 44.67 224 0.875 bicubic -11.466 -11.592 -6.780 -7.250 -12 -19
205 gluon_seresnext50_32x4d regnety_080 68.670 68.700 31.330 31.300 88.310 87.970 11.690 12.030 27.56 39.18 224 0.875 bicubic -11.248 -11.176 -6.512 -6.860 -6 +1
206 hrnet_w64 dpn107 68.640 68.690 31.360 31.310 88.050 88.130 11.950 11.870 128.06 86.92 224 0.875 bilinear bicubic -10.834 -11.466 -6.602 -6.780 +18 -11
207 resnext50_32x4d gluon_seresnext50_32x4d 68.640 68.670 31.360 31.330 87.570 88.310 12.430 11.690 25.03 27.56 224 0.875 bicubic -11.128 -11.248 -7.028 -6.512 +4 -5
208 dpn98 hrnet_w64 68.590 68.640 31.410 31.360 87.680 88.050 12.320 11.950 61.57 128.06 224 0.875 bicubic bilinear -11.052 -10.834 -6.918 -6.602 +10 +20
209 regnetx_160 resnext50_32x4d 68.530 68.640 31.470 31.360 88.450 87.570 11.550 12.430 54.28 25.03 224 0.875 bicubic -11.326 -11.128 -6.380 -7.028 -4 +6
210 cspresnet50 dpn98 68.460 68.590 31.540 31.410 88.010 87.680 11.990 12.320 21.62 61.57 256 224 0.887 0.875 bilinear bicubic -11.114 -11.052 -6.702 -6.918 +10 +12
211 rexnet_130 regnetx_160 68.450 68.530 31.550 31.470 88.040 88.450 11.960 11.550 7.56 54.28 224 0.875 bicubic -11.050 -11.326 -6.642 -6.380 +12 -2
212 tf_efficientnet_el cspresnet50 68.420 68.460 31.580 31.540 88.210 88.010 11.790 11.990 10.59 21.62 300 256 0.904 0.887 bicubic bilinear -11.830 -11.114 -6.918 -6.702 -29 +12
213 regnety_064 rexnet_130 68.420 68.450 31.580 31.550 88.080 88.040 11.920 11.960 30.58 7.56 224 0.875 bicubic -11.302 -11.050 -6.688 -6.642 0 +14
214 ecaresnet50d_pruned tf_efficientnet_el 68.420 31.580 88.370 88.210 11.630 11.790 19.94 10.59 224 300 0.875 0.904 bicubic -11.296 -11.830 -6.510 -6.918 +2 -27
215 ssl_resnet50 ecaresnet50d_pruned 68.410 68.420 31.590 31.580 88.560 88.370 11.440 11.630 25.56 19.94 224 0.875 bilinear bicubic -10.812 -11.296 -6.272 -6.510 +23 +4
216 cait_xxs36_224 regnety_064 68.410 68.420 31.590 31.580 88.630 88.080 11.370 11.920 17.30 30.58 224 1.000 0.875 bicubic -11.340 -11.302 -6.236 -6.688 -3 +2
217 skresnext50_32x4d ssl_resnet50 68.350 68.410 31.650 31.590 87.570 88.560 12.430 11.440 27.48 25.56 224 0.875 bicubic bilinear -11.806 -10.812 -7.072 -6.272 -24 +26
218 dla102x2 cait_xxs36_224 68.330 68.410 31.670 31.590 87.890 88.630 12.110 11.370 41.28 17.30 224 0.875 1.000 bilinear bicubic -11.118 -11.340 -6.750 -6.236 +8 -1
219 efficientnet_b2_pruned skresnext50_32x4d 68.320 68.350 31.680 31.650 88.100 87.570 11.900 12.430 8.31 27.48 260 224 0.890 0.875 bicubic -11.596 -11.806 -6.756 -7.072 -19 -23
220 gluon_resnext50_32x4d dla102x2 68.310 68.330 31.690 31.670 87.300 87.890 12.700 12.110 25.03 41.28 224 0.875 bicubic bilinear -11.044 -11.118 -7.126 -6.750 +8 +10
221 efficientnet_b2_pruned 68.320 31.680 88.100 11.900 8.31 260 0.890 bicubic -11.596 -6.756 -18
222 resmlp_big_24_224 68.320 31.680 87.520 12.480 129.14 224 0.875 bicubic -12.708 -7.502 -68
223 gluon_resnext50_32x4d 68.310 31.690 87.300 12.700 25.03 224 0.875 bicubic -11.044 -7.126 +10
224 ecaresnet26t 68.230 31.770 88.790 11.210 16.01 320 0.950 bicubic -11.624 -6.294 -14
225 tf_efficientnet_lite3 68.230 31.770 87.740 12.260 8.20 300 0.904 bilinear -11.590 -7.174 -12
226 ese_vovnet39b 68.210 31.790 88.250 11.750 24.57 224 0.875 bicubic -11.110 -6.462 +6 +8
227 regnetx_120 68.150 31.850 87.660 12.340 46.11 224 0.875 bicubic -11.446 -7.078 -5 -4
228 resnetrs50 resmlp_36_224 68.030 68.080 31.970 31.920 87.710 88.190 12.290 11.810 35.69 44.69 224 0.910 0.875 bicubic -11.862 -11.690 -7.258 -6.696 -23 -14
229 resnetrs50 68.030 31.970 87.710 12.290 35.69 224 0.910 bicubic -11.862 -7.258 -24
230 pit_xs_distilled_224 68.020 31.980 87.720 12.280 11.00 224 0.900 bicubic -11.286 -6.644 +8
231 dpn92 67.990 32.010 87.580 12.420 37.67 224 0.875 bicubic -12.018 -7.256 -30 -31
232 nf_regnet_b1 67.980 67.960 32.020 32.040 88.180 88.200 11.820 11.800 10.22 288 0.900 bicubic -11.326 -11.332 -6.568 -6.548 +5 +8
233 gluon_resnet50_v1d 67.940 32.060 87.130 12.870 25.58 224 0.875 bicubic -11.134 -7.340 +18 +19
234 levit_192 resnetv2_50x1_bitm 67.900 67.920 32.100 32.080 87.890 89.300 12.110 10.700 10.95 25.55 224 448 0.900 1.000 bicubic bilinear -11.942 -12.422 -6.896 -6.384 -22 -53
235 tf_efficientnetv2_b1 levit_192 67.890 67.900 32.110 32.100 87.800 87.890 12.200 12.110 8.14 10.95 240 224 0.882 0.900 bicubic -11.572 -11.942 -6.922 -6.896 -6 -24
236 tf_efficientnetv2_b1 67.890 32.110 87.800 12.200 8.14 240 0.882 bicubic -11.572 -6.922 -7
237 regnetx_080 67.880 32.120 86.990 13.010 39.57 224 0.875 bicubic -11.314 -7.570 +12
238 resnext101_32x8d 67.860 32.140 87.490 12.510 88.79 224 0.875 bilinear -11.448 -7.028 -3
efficientnet_em 67.840 32.160 88.120 11.880 6.90 240 0.882 bicubic -11.412 -6.674 +4
239 legacy_seresnext50_32x4d 67.840 32.160 87.620 12.380 27.56 224 0.875 bilinear -11.238 -6.816 +11
240 hrnet_w48 efficientnet_em 67.770 67.840 32.230 32.160 87.420 88.120 12.580 11.880 77.47 6.90 224 240 0.875 0.882 bilinear bicubic -11.530 -11.412 -7.092 -6.674 -1 +4
241 hrnet_w44 resmlp_24_224 67.740 67.810 32.260 32.190 87.560 87.610 12.440 12.390 67.06 30.02 224 0.875 bilinear bicubic -11.156 -11.564 -6.808 -6.936 +16 -10
242 coat_lite_mini hrnet_w48 67.720 67.770 32.280 32.230 87.700 87.420 12.300 12.580 11.01 77.47 224 0.900 0.875 bicubic bilinear -11.368 -11.530 -6.904 -7.092 +7 -3
243 tf_efficientnet_b0_ns hrnet_w44 67.710 67.740 32.290 32.260 88.070 87.560 11.930 12.440 5.29 67.06 224 0.875 bicubic bilinear -10.948 -11.156 -6.306 -6.808 +24 +15
244 regnetx_064 coat_lite_mini 67.680 67.720 32.320 32.280 87.520 87.700 12.480 12.300 26.21 11.01 224 0.875 0.900 bicubic -11.392 -11.368 -6.938 -6.904 +8 +6
245 xception tf_efficientnet_b0_ns 67.650 67.710 32.350 32.290 87.570 88.070 12.430 11.930 22.86 5.29 299 224 0.897 0.875 bicubic -11.402 -10.948 -6.822 -6.306 +8 +23
246 dpn68b regnetx_064 67.630 67.680 32.370 32.320 87.660 87.520 12.340 12.480 12.61 26.21 224 0.875 bicubic -11.586 -11.392 -6.754 -6.938 -1 +7
247 dla169 xception 67.610 67.650 32.390 32.350 87.590 87.570 12.410 12.430 53.39 22.86 224 299 0.875 0.897 bilinear bicubic -11.078 -11.402 -6.746 -6.822 +18 +7
248 gluon_inception_v3 dpn68b 67.590 67.630 32.410 32.370 87.470 87.660 12.530 12.340 23.83 12.61 299 224 0.875 bicubic -11.216 -11.586 -6.900 -6.754 +12 -2
249 gluon_resnet101_v1c dla169 67.580 67.610 32.420 32.390 87.180 87.590 12.820 12.410 44.57 53.39 224 0.875 bicubic bilinear -11.954 -11.078 -7.398 -6.746 -23 +17
250 regnety_040 gluon_inception_v3 67.580 67.590 32.420 32.410 87.510 87.470 12.490 12.530 20.65 23.83 224 299 0.875 bicubic -11.640 -11.216 -7.146 -6.900 -6 +11
251 res2net50_26w_8s gluon_resnet101_v1c 67.570 67.580 32.430 32.420 87.280 87.180 12.720 12.820 48.40 44.57 224 0.875 bilinear bicubic -11.628 -11.954 -7.088 -7.398 -5 -25
252 hrnet_w40 regnety_040 67.560 67.580 32.440 32.420 87.140 87.510 12.860 12.490 57.56 20.65 224 0.875 bilinear bicubic -11.360 -11.640 -7.330 -7.146 +4 -7
253 legacy_seresnet152 res2net50_26w_8s 67.520 67.570 32.480 32.430 87.390 87.280 12.610 12.720 66.82 48.40 224 0.875 bilinear -11.140 -11.628 -6.980 -7.088 +13 -6
254 resnetv2_50x1_bitm hrnet_w40 67.520 67.560 32.480 32.440 89.250 87.140 10.750 12.860 25.55 57.56 480 224 1.000 0.875 bilinear -12.652 -11.360 -6.376 -7.330 -60 +3
255 legacy_seresnet152 67.520 32.480 87.390 12.610 66.82 224 0.875 bilinear -11.140 -6.980 +12
256 tf_efficientnet_b1_ap 67.520 32.480 87.760 12.240 7.79 240 0.882 bicubic -11.760 -6.546 -14
257 efficientnet_b1 67.470 32.530 87.510 12.490 7.79 256 1.000 bicubic -11.324 -6.832 +5
258 gluon_resnet101_v1b 67.460 32.540 87.240 12.760 44.55 224 0.875 bicubic -11.846 -7.284 -21
260 res2net101_26w_4s 67.440 32.560 87.010 12.990 45.21 224 0.875 bilinear -11.758 -7.422 -12
261 resnet50 67.440 32.560 87.420 12.580 25.56 224 0.875 bicubic -11.598 -6.970 -6
262 resnetblur50 67.430 32.570 87.440 12.560 25.56 224 0.875 bicubic -11.856 -7.198 -21
263 cait_xxs24_224 67.330 32.670 87.510 12.490 11.96 224 1.000 bicubic -11.056 -6.800 +17 +18
264 regnetx_032 67.290 32.710 87.000 13.000 15.30 224 0.875 bicubic -10.882 -7.088 +26 +27
coat_tiny 67.250 32.750 87.340 12.660 5.50 224 0.900 bicubic -11.184 -6.698 +13
265 xception41 67.250 32.750 87.200 12.800 26.97 299 0.903 bicubic -11.266 -7.078 +4
266 coat_tiny 67.250 32.750 87.340 12.660 5.50 224 0.900 bicubic -11.184 -6.698 +13
267 resnest26d 67.200 32.800 87.170 12.830 17.07 224 0.875 bilinear -11.278 -7.128 +7
268 repvgg_b2 67.160 32.840 87.330 12.670 89.02 224 0.875 bilinear -11.632 -7.084 -6
269 legacy_seresnet101 67.160 32.840 87.060 12.940 49.33 224 0.875 bilinear -11.222 -7.204 +13 +14
270 dla60x 67.100 32.900 87.190 12.810 17.35 224 0.875 bilinear -11.146 -6.828 +15 +16
271 gluon_resnet50_v1s 67.060 32.940 86.860 13.140 25.68 224 0.875 bicubic -11.650 -11.652 -7.378 -6
272 tv_resnet152 67.050 32.950 87.550 12.450 60.19 224 0.875 bilinear -11.262 -6.488 +12 +13
273 dla60_res2net 67.020 32.980 87.160 12.840 20.85 224 0.875 bilinear -11.444 -7.046 +2
274 dla102x 67.010 32.990 86.770 13.230 26.31 224 0.875 bilinear -11.500 -7.458 -3
275 mixnet_l 66.940 33.060 86.910 13.090 7.33 224 0.875 bicubic -12.036 -7.272 -19
276 pit_xs_224 66.920 33.080 87.280 12.720 10.62 224 0.900 bicubic -11.262 -6.888 +13 +14
277 res2net50_26w_6s 66.910 33.090 86.860 13.140 37.05 224 0.875 bilinear -11.660 -7.264 -8
278 repvgg_b1 66.900 33.100 86.780 13.220 57.42 224 0.875 bilinear -11.466 -7.318 +4 +5
efficientnet_es 66.880 33.120 86.730 13.270 5.44 224 0.875 bicubic -11.186 -7.196 +15
279 tf_efficientnet_b1 66.880 33.120 87.010 12.990 7.79 240 0.882 bicubic -11.946 -7.188 -20
280 efficientnet_es 66.880 33.120 86.730 13.270 5.44 224 0.875 bicubic -11.186 -7.196 +16
281 regnetx_040 66.840 33.160 86.730 13.270 22.12 224 0.875 bicubic -11.642 -7.514 -8
282 hrnet_w30 66.780 33.220 86.800 13.200 37.71 224 0.875 bilinear -11.426 -7.422 +6 +7
283 tf_mixnet_l 66.780 33.220 86.470 13.530 7.33 224 0.875 bicubic -11.994 -7.528 -19
284 selecsls60b 66.760 33.240 86.530 13.470 32.77 224 0.875 bicubic -11.652 -7.644 -5 -4
285 hrnet_w32 66.750 33.250 87.300 12.700 41.23 224 0.875 bilinear -11.700 -6.886 -9
286 wide_resnet101_2 66.730 33.270 87.030 12.970 126.89 224 0.875 bilinear -12.126 -7.252 -27
287 tf_efficientnetv2_b0 66.700 33.300 86.710 13.290 7.14 224 0.875 bicubic -11.656 -7.314 -4 -3
288 adv_inception_v3 66.650 33.350 86.540 13.460 23.83 299 0.875 bicubic -10.932 -7.196 +24 +26
289 dla60_res2next 66.640 33.360 87.030 12.970 17.03 224 0.875 bilinear -11.800 -7.122 -12
290 gluon_resnet50_v1c vit_tiny_patch16_384 66.560 66.610 33.440 33.390 86.180 87.260 13.820 12.740 25.58 5.79 224 384 0.875 1.000 bicubic -11.452 -11.820 -7.808 -7.282 +6 -11
291 levit_128 gluon_resnet50_v1c 66.550 66.560 33.450 33.440 86.750 86.180 13.250 13.820 9.21 25.58 224 0.900 0.875 bicubic -11.936 -11.452 -7.260 -7.808 -19 +7
292 dla102 levit_128 66.540 66.550 33.460 33.450 86.910 86.750 13.090 13.250 33.27 9.21 224 0.875 0.900 bilinear bicubic -11.492 -11.936 -7.036 -7.260 +3 -20
293 tf_inception_v3 dla102 66.410 66.540 33.590 33.460 86.660 86.910 13.340 13.090 23.83 33.27 299 224 0.875 bicubic bilinear -11.448 -11.492 -7.210 -7.036 +10 +4
294 hardcorenas_f gmixer_24_224 66.370 66.420 33.630 33.580 86.200 86.150 13.800 13.850 8.20 24.72 224 0.875 bilinear bicubic -11.734 -11.616 -7.602 -7.514 -1 +2
295 efficientnet_b0 tf_inception_v3 66.290 66.410 33.710 33.590 85.960 86.660 14.040 13.340 5.29 23.83 224 299 0.875 bicubic -11.408 -11.452 -7.572 -6.980 +11
296 hardcorenas_f 66.370 33.630 86.200 13.800 8.20 224 0.875 bilinear -11.734 -7.602 -2
297 coat_lite_tiny 66.290 33.710 86.980 13.020 5.72 224 0.900 bicubic -11.222 -6.936 +20
298 efficientnet_b0 66.290 33.710 85.960 14.040 5.29 224 0.875 bicubic -11.408 -7.572 +11
299 legacy_seresnet50 66.250 33.750 86.330 13.670 28.09 224 0.875 bilinear -11.380 -7.418 +11
300 selecsls60 66.210 33.790 86.340 13.660 30.67 224 0.875 bicubic -11.772 -7.488 0
301 tf_efficientnet_em 66.180 33.820 86.360 13.640 6.90 240 0.882 bicubic -11.950 -7.684 -7 -8
302 tv_resnext50_32x4d 66.180 33.820 86.040 13.960 25.03 224 0.875 bilinear -11.440 -7.656 +9
303 tf_efficientnet_cc_b0_8e 66.170 33.830 86.240 13.760 24.01 224 0.875 bicubic -11.738 -7.414 0 +1
304 inception_v3 66.160 33.840 86.320 13.680 23.83 299 0.875 bicubic -11.278 -7.156 -7.154 +15
305 res2net50_26w_4s 66.140 33.860 86.600 13.400 25.70 224 0.875 bilinear -11.824 -7.254 -4
306 efficientnet_b1_pruned resmlp_12_distilled_224 66.090 66.130 33.910 33.870 86.570 86.630 13.430 13.370 6.33 15.35 240 224 0.882 0.875 bicubic -12.146 -11.814 -7.264 -6.928 -17 -4
307 rexnet_100 efficientnet_b1_pruned 66.070 66.090 33.930 33.910 86.490 86.570 13.510 13.430 4.80 6.33 224 240 0.875 0.882 bicubic -11.788 -12.146 -6.926 -7.264 -1 -19
308 gluon_resnet50_v1b 66.070 33.930 86.260 13.740 25.56 224 0.875 bicubic -11.510 -7.456 +8 +7
309 rexnet_100 66.070 33.930 86.490 13.510 4.80 224 0.875 bicubic -11.788 -7.380 -2
310 regnety_016 66.060 33.940 86.380 13.620 11.20 224 0.875 bicubic -11.802 -7.340 -5
311 res2net50_14w_8s 66.020 33.980 86.250 13.750 25.06 224 0.875 bilinear -12.130 -7.598 -17 -19
312 seresnext26t_32x4d 65.880 34.120 85.680 14.320 16.81 224 0.875 bicubic -12.106 -8.066 -12 -13
313 repvgg_b1g4 65.850 34.150 86.120 13.880 39.97 224 0.875 bilinear -11.744 -7.706 +1 0
314 res2next50 65.850 34.150 85.840 14.160 24.67 224 0.875 bilinear -12.396 -8.052 -25 -27
315 densenet161 65.840 34.160 86.450 13.550 28.68 224 0.875 bicubic -11.518 -7.188 +8 +7
316 hardcorenas_e 65.840 34.160 85.980 14.020 8.07 224 0.875 bilinear -11.954 -7.714 -7 -8
317 resnet34d 65.780 34.220 86.720 86.710 13.280 13.290 21.82 224 0.875 bicubic -11.336 -6.662 -6.672 +12 +11
318 mobilenetv3_large_100_miil 65.760 34.240 85.200 14.800 5.48 224 0.875 bilinear -12.156 -7.710 -15
319 skresnet34 65.750 34.250 85.960 14.040 22.28 224 0.875 bicubic -11.162 -7.362 +18 +17
vit_small_patch16_224 65.740 34.260 86.120 13.880 48.75 224 0.900 bicubic -12.118 -7.520 -13
320 tv_resnet101 65.690 34.310 85.980 14.020 44.55 224 0.875 bilinear -11.684 -7.560 +1
321 hardcorenas_d 65.630 34.370 85.460 14.540 7.50 224 0.875 bilinear -11.802 -8.024 -1
322 selecsls42b 65.610 34.390 85.810 14.190 32.46 224 0.875 bicubic -11.564 -7.580 +5
325 tf_efficientnet_lite2 65.380 34.620 85.990 14.010 6.09 260 0.890 bicubic -12.088 -7.764 -7
326 res2net50_48w_2s 65.350 34.650 85.960 14.040 25.29 224 0.875 bilinear -12.172 -7.594 -10
327 densenet201 65.290 34.710 85.690 14.310 20.01 224 0.875 bicubic -11.996 -7.788 -3
328 densenetblur121d 65.280 34.720 85.710 14.290 8.00 224 0.875 bicubic -11.308 -7.482 +16 +17
329 dla60 65.200 34.800 85.760 14.240 22.04 224 0.875 bilinear -11.832 -7.558 +3
330 ese_vovnet19b_dw 65.190 34.810 85.470 14.530 6.54 224 0.875 bicubic -11.608 -7.798 +8
331 tf_efficientnet_cc_b0_4e 65.150 34.850 85.160 14.840 13.31 224 0.875 bicubic -12.156 -8.174 -8
334 mobilenetv2_120d 65.030 34.970 85.960 14.040 5.83 224 0.875 bicubic -12.254 -7.532 -9
335 hrnet_w18 64.920 35.080 85.740 14.260 21.30 224 0.875 bilinear -11.838 -7.704 +4
336 hardcorenas_c 64.860 35.140 85.250 14.750 5.52 224 0.875 bilinear -12.194 -7.908 -5
337 densenet169 64.760 35.240 85.240 14.760 14.15 224 0.875 bicubic -11.146 -7.786 +17 +20
338 mixnet_m 64.700 35.300 85.450 14.550 5.01 224 0.875 bicubic -12.560 -7.974 -12
339 resnet26d 64.680 35.320 85.120 14.880 16.01 224 0.875 bicubic -12.016 -8.030 +1
340 levit_128s 64.610 35.390 84.730 15.270 7.78 224 0.900 bicubic -11.920 -8.136 +6 +7
341 repvgg_a2 64.450 35.550 85.130 14.870 28.21 224 0.875 bilinear -12.010 -7.874 +7 +8
342 hardcorenas_b 64.420 35.580 84.870 15.130 5.18 224 0.875 bilinear -12.118 -7.884 +3 +4
343 tf_efficientnet_lite1 64.380 35.620 85.470 14.530 5.42 240 0.882 bicubic -12.262 -7.756 -3 -2
344 regnetx_016 64.380 35.620 85.470 14.530 9.19 224 0.875 bicubic -12.570 -7.950 -10
345 tf_efficientnet_b0 resmlp_12_224 64.310 64.350 35.690 35.650 85.280 85.580 14.720 14.420 5.29 15.35 224 0.875 bicubic -12.538 -12.304 -7.948 -7.600 -8 -4
346 tf_mixnet_m tf_efficientnet_b0 64.270 64.310 35.730 35.690 85.090 85.280 14.910 14.720 5.01 5.29 224 0.875 bicubic -12.672 -12.538 -8.062 -7.948 -12 -9
347 tf_mixnet_m 64.270 35.730 85.090 14.910 5.01 224 0.875 bicubic -12.672 -8.062 -13
348 dpn68 64.230 35.770 85.180 14.820 12.61 224 0.875 bicubic -12.088 -7.798 +2
349 tf_efficientnet_es 64.230 35.770 84.740 15.260 5.44 224 0.875 bicubic -12.364 -8.462 -5
350 regnety_008 64.160 35.840 85.270 14.730 6.26 224 0.875 bicubic -12.156 -7.796 +1
351 mobilenetv2_140 vit_small_patch32_224 64.060 64.070 35.940 35.930 85.040 85.560 14.960 14.440 6.11 22.88 224 0.875 0.900 bicubic -12.456 -11.920 -7.956 -7.712 -3 +3
352 densenet121 mobilenetv2_140 63.750 64.060 36.250 35.940 84.590 85.040 15.410 14.960 7.98 6.11 224 0.875 bicubic -11.828 -12.456 -8.062 -7.956 +7 -4
353 hardcorenas_a densenet121 63.710 63.750 36.290 36.250 84.400 84.590 15.600 15.410 5.26 7.98 224 0.875 bilinear bicubic -12.206 -11.828 -8.114 -8.062 +1 +8
354 resnest14d hardcorenas_a 63.590 63.710 36.410 36.290 84.250 84.400 15.750 15.600 10.61 5.26 224 0.875 bilinear -11.916 -12.206 -8.268 -8.114 +7 +2
355 tf_mixnet_s resnest14d 63.560 63.590 36.440 36.410 84.270 84.250 15.730 15.750 4.13 10.61 224 0.875 bicubic bilinear -12.090 -11.916 -8.358 -8.268 +2 +8
356 resnet26 tf_mixnet_s 63.470 63.560 36.530 36.440 84.260 84.270 15.740 15.730 16.00 4.13 224 0.875 bicubic -11.822 -12.090 -8.310 -8.358 +8 +3
357 mixnet_s resnet26 63.390 63.470 36.610 36.530 84.740 84.260 15.260 15.740 4.13 16.00 224 0.875 bicubic -12.602 -11.822 -8.056 -8.310 -4 +10
358 mobilenetv3_large_100 mixnet_s 63.360 63.390 36.640 36.610 84.090 84.740 15.910 15.260 5.48 4.13 224 0.875 bicubic -12.406 -12.602 -8.452 -8.056 -2 -5
359 efficientnet_es_pruned mobilenetv3_large_100 63.330 63.360 36.670 36.640 84.950 84.090 15.050 15.910 5.44 5.48 224 0.875 bicubic -11.670 -12.406 -7.498 -8.452 +13 -1
360 tv_resnet50 vit_tiny_r_s16_p8_384 63.330 63.340 36.670 36.660 84.640 85.280 15.360 14.720 25.56 6.36 224 384 0.875 1.000 bilinear bicubic -12.808 -12.612 -8.224 -7.980 -8 -5
361 mixer_b16_224 efficientnet_es_pruned 63.280 63.330 36.720 36.670 83.310 84.950 16.690 15.050 59.88 5.44 224 0.875 bicubic -13.322 -11.670 -8.918 -7.498 -18 +14
362 tv_resnet50 63.330 36.670 84.640 15.360 25.56 224 0.875 bilinear -12.808 -8.224 -10
363 mixer_b16_224 63.280 36.720 83.310 16.690 59.88 224 0.875 bicubic -13.322 -8.918 -20
364 efficientnet_lite0 63.240 36.760 84.440 15.560 4.65 224 0.875 bicubic -12.244 -8.070 0
365 mobilenetv3_rw 63.220 36.780 84.510 15.490 5.48 224 0.875 bicubic -12.414 -8.198 -5
366 pit_ti_distilled_224 63.150 36.850 83.960 16.040 5.10 224 0.900 bicubic -11.380 -8.136 +15 +16
367 semnasnet_100 63.150 36.850 84.520 15.480 3.89 224 0.875 bicubic -12.298 -8.084 -2 -1
368 regnety_006 63.110 36.890 84.250 15.750 6.06 224 0.875 bicubic -12.136 -8.282 -1 0
369 vit_tiny_patch16_224 63.110 36.890 84.850 15.150 5.72 224 0.900 bicubic -12.344 -7.998 -4
370 tv_densenet121 62.940 37.060 84.250 15.750 7.98 224 0.875 bicubic -11.798 -7.900 +8
371 resnet34 62.870 37.130 84.140 15.860 21.80 224 0.875 bilinear -12.240 -8.144 +1
372 legacy_seresnet34 62.850 37.150 84.210 15.790 21.96 224 0.875 bilinear -11.958 -7.914 +5
373 mobilenetv2_110d 62.830 37.170 84.500 15.500 4.52 224 0.875 bicubic -12.206 -7.686 +1
374 vit_deit_tiny_distilled_patch16_224 deit_tiny_distilled_patch16_224 62.810 37.190 83.930 16.070 5.91 224 0.900 bicubic -11.700 -7.960 +9
375 hrnet_w18_small_v2 62.800 37.200 83.980 16.020 15.60 224 0.875 bilinear -12.314 -8.436 -4
376 swsl_resnet18 62.760 37.240 84.300 15.700 11.69 224 0.875 bilinear -10.516 -7.434 +16
377 repvgg_b0 62.720 37.280 83.860 16.140 15.82 224 0.875 bilinear -12.432 -8.558 -8
379 tf_efficientnet_lite0 62.550 37.450 84.220 15.780 4.65 224 0.875 bicubic -12.280 -7.956 -3
380 regnetx_008 62.490 37.510 84.020 15.980 7.26 224 0.875 bicubic -12.548 -8.316 -7
381 dla34 62.480 37.520 83.910 16.090 15.74 224 0.875 bilinear -12.150 -8.168 -1
382 tf_mobilenetv3_large_100 62.460 37.540 83.970 16.030 5.48 224 0.875 bilinear -13.058 -8.636 -19 -20
383 fbnetc_100 62.440 37.560 83.380 16.620 5.57 224 0.875 bilinear -12.684 -9.006 -13
384 mnasnet_100 61.900 38.100 83.710 16.290 4.38 224 0.875 bicubic -12.758 -8.404 -5
385 regnety_004 61.870 38.130 83.430 16.570 4.34 224 0.875 bicubic -12.164 -8.322 +1
396 tf_mobilenetv3_large_075 60.400 39.600 81.950 18.050 3.99 224 0.875 bilinear -13.038 -9.400 -7
397 mobilenetv2_100 60.190 39.810 82.240 17.760 3.50 224 0.875 bicubic -12.780 -8.776 -2
398 resnet18d 60.160 39.840 82.300 17.700 11.71 224 0.875 bicubic -12.100 -8.396 +3
399 vit_deit_tiny_patch16_224 deit_tiny_patch16_224 59.830 40.170 82.670 17.330 5.72 224 0.900 bicubic -12.338 -8.448 +4
400 legacy_seresnet18 59.800 40.200 81.690 18.310 11.78 224 0.875 bicubic -11.942 -8.644 +5 +6
401 vgg19 59.710 40.290 81.450 18.550 143.67 224 0.875 bilinear -12.658 -9.422 -2
402 regnetx_004 59.410 40.590 81.690 18.310 5.16 224 0.875 bicubic -12.986 -9.140 -4
403 tf_mobilenetv3_large_minimal_100 59.070 40.930 81.150 18.850 3.92 224 0.875 bilinear -13.178 -9.480 -1
404 vit_tiny_r_s16_p8_224 59.070 40.930 81.760 18.240 6.34 224 0.900 bicubic -12.718 -9.068 +1
405 vgg13_bn 59.000 41.000 81.070 18.930 133.05 224 0.875 bilinear -12.594 -9.306 +2
406 hrnet_w18_small 58.950 41.050 81.340 18.660 13.19 224 0.875 bilinear -13.394 -13.392 -9.338 -5 -6
407 vgg16 58.830 41.170 81.660 18.340 138.36 224 0.875 bilinear -12.764 -8.722 +1
408 gluon_resnet18_v1b 58.340 41.660 80.970 19.030 11.69 224 0.875 bicubic -12.496 -8.792 +1
409 vgg11_bn 57.410 42.590 80.020 19.980 132.87 224 0.875 bilinear -12.950 -9.782 +1
410 resnet18 57.170 42.830 80.200 19.800 11.69 224 0.875 bilinear -12.578 -8.878 +3
411 vgg13 57.150 42.850 79.540 20.460 133.05 224 0.875 bilinear -12.776 -9.706 +1
412 regnety_002 57.000 43.000 79.840 20.160 3.16 224 0.875 bicubic -13.252 -9.700 -1
413 mixer_l16_224 56.690 43.310 75.990 24.010 208.20 224 0.875 bicubic -15.368 -11.678 -8 -9
414 regnetx_002 56.050 43.950 79.210 20.790 2.68 224 0.875 bicubic -12.712 -9.346 +1
415 dla60x_c 56.000 44.000 78.930 21.070 1.32 224 0.875 bilinear -11.892 -9.496 +2
416 vgg11 55.800 44.200 78.830 21.170 132.86 224 0.875 bilinear -13.224 -9.798 -2
417 tf_mobilenetv3_small_100 54.530 45.470 77.060 22.940 2.54 224 0.875 bilinear -13.392 -10.604 -1
418 dla46x_c 53.050 46.950 76.870 23.130 1.07 224 0.875 bilinear -12.920 -10.110 0
419 tf_mobilenetv3_small_075 52.160 47.840 75.470 24.530 2.04 224 0.875 bilinear -13.556 -10.660 0
420 dla46_c 52.130 47.870 75.690 24.310 1.30 224 0.875 bilinear -12.734 -12.736 -10.602 0
421 tf_mobilenetv3_small_minimal_100 49.500 50.500 73.050 26.950 2.04 224 0.875 bilinear -13.406 -11.180 0

@ -1,385 +1,411 @@
model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation,top1_diff,top5_diff,rank_diff
ig_resnext101_32x48d,58.810,41.190,81.076,18.924,828.41,224,0.875,bilinear,-26.618,-16.496,+18
ig_resnext101_32x32d,58.386,41.614,80.381,19.619,468.53,224,0.875,bilinear,-26.708,-17.057,+25
ig_resnext101_32x16d,57.690,42.310,79.905,20.095,194.03,224,0.875,bilinear,-26.480,-17.291,+47
swsl_resnext101_32x16d,57.458,42.542,80.385,19.615,194.03,224,0.875,bilinear,-25.888,-16.461,+66
swsl_resnext101_32x8d,56.438,43.562,78.944,21.056,88.79,224,0.875,bilinear,-27.846,-18.232,+41
ig_resnext101_32x8d,54.918,45.082,77.534,22.466,88.79,224,0.875,bilinear,-27.770,-19.102,+82
swsl_resnext101_32x4d,53.603,46.397,76.347,23.653,44.18,224,0.875,bilinear,-29.627,-20.413,+66
tf_efficientnet_l2_ns_475,51.494,48.506,73.928,26.072,480.31,475,0.936,bicubic,-36.740,-24.618,-6
swsl_resnext50_32x4d,50.437,49.563,73.368,26.633,25.03,224,0.875,bilinear,-31.745,-22.862,+95
swin_large_patch4_window12_384,50.404,49.596,72.564,27.436,196.74,384,1.000,bicubic,-36.744,-25.670,-7
swsl_resnet50,49.541,50.459,72.334,27.666,25.56,224,0.875,bilinear,-31.625,-23.638,+125
swin_large_patch4_window7_224,48.991,51.009,71.391,28.609,196.53,224,0.900,bicubic,-37.329,-26.505,-4
swin_base_patch4_window12_384,48.553,51.447,71.813,28.187,87.90,384,1.000,bicubic,-37.879,-26.245,-6
tf_efficientnet_b7_ns,47.800,52.200,69.640,30.360,66.35,600,0.949,bicubic,-39.040,-28.454,-10
tf_efficientnet_b6_ns,47.761,52.239,69.968,30.032,43.04,528,0.942,bicubic,-38.691,-27.914,-9
tf_efficientnet_l2_ns,47.570,52.430,70.019,29.981,480.31,800,0.960,bicubic,-40.782,-28.631,-15
tf_efficientnetv2_l_in21ft1k,46.939,53.061,70.310,29.690,118.52,480,1.000,bicubic,-39.365,-27.668,-8
tf_efficientnet_b8_ap,45.774,54.226,67.911,32.089,87.41,672,0.954,bicubic,-39.596,-29.383,+4
tf_efficientnet_b5_ns,45.615,54.385,67.842,32.158,30.39,456,0.934,bicubic,-40.473,-29.910,-8
tf_efficientnetv2_m_in21ft1k,45.582,54.418,69.150,30.849,54.14,480,1.000,bicubic,-40.006,-28.602,-5
swin_base_patch4_window7_224,45.560,54.440,68.512,31.488,87.77,224,0.900,bicubic,-39.692,-29.050,+2
cait_m48_448,44.245,55.755,64.653,35.347,356.46,448,1.000,bicubic,-42.239,-33.102,-17
vit_base_r50_s16_384,43.512,56.488,66.781,33.219,98.95,384,1.000,bicubic,-41.460,-30.507,+10
tf_efficientnet_b4_ns,43.450,56.550,65.519,34.481,19.34,380,0.922,bicubic,-41.713,-31.951,0
vit_large_patch16_384,43.300,56.700,66.454,33.546,304.72,384,1.000,bicubic,-41.858,-30.902,0
tf_efficientnet_b8,42.508,57.492,64.857,35.143,87.41,672,0.954,bicubic,-42.862,-32.533,-5
cait_m36_384,42.398,57.602,63.324,36.676,271.22,384,1.000,bicubic,-43.656,-34.406,-15
dm_nfnet_f6,41.593,58.407,63.192,36.808,438.36,576,0.956,bicubic,-44.704,-34.552,-18
tf_efficientnet_b7,41.431,58.569,63.017,36.983,66.35,600,0.949,bicubic,-43.505,-34.186,+5
tf_efficientnet_b7_ap,41.429,58.571,62.874,37.126,66.35,600,0.949,bicubic,-43.691,-34.378,-4
tf_efficientnet_b5_ap,41.418,58.582,62.084,37.916,30.39,456,0.934,bicubic,-42.834,-34.890,+17
resnetv2_152x4_bitm,41.241,58.759,64.238,35.762,936.53,480,1.000,bilinear,-43.691,-33.198,+3
tf_efficientnet_b6_ap,41.099,58.901,62.355,37.645,43.04,528,0.942,bicubic,-43.689,-34.783,+4
dm_nfnet_f5,41.003,58.997,61.911,38.089,377.21,544,0.954,bicubic,-44.711,-35.531,-21
tf_efficientnetv2_s_in21ft1k,40.950,59.050,63.849,36.151,21.46,384,1.000,bicubic,-43.352,-33.403,+10
dm_nfnet_f3,40.920,59.080,61.949,38.051,254.92,416,0.940,bicubic,-44.640,-35.457,-20
vit_large_patch16_224,40.732,59.268,63.593,36.407,304.33,224,0.900,bicubic,-42.330,-32.845,+42
tf_efficientnet_b4_ap,40.484,59.516,61.723,38.277,19.34,380,0.922,bicubic,-42.764,-34.669,+34
vit_base_patch16_224_miil,40.168,59.832,60.887,39.113,86.54,224,0.875,bilinear,-44.100,-35.915,+8
tf_efficientnetv2_l,39.830,60.170,60.801,39.199,118.52,480,1.000,bicubic,-45.660,-36.571,-23
cait_s36_384,39.765,60.235,60.475,39.525,68.37,384,1.000,bicubic,-45.695,-37.005,-23
ig_resnext101_32x48d,58.810,41.190,81.076,18.924,828.41,224,0.875,bilinear,-26.618,-16.496,+22
ig_resnext101_32x32d,58.386,41.614,80.381,19.619,468.53,224,0.875,bilinear,-26.708,-17.057,+28
ig_resnext101_32x16d,57.690,42.310,79.905,20.095,194.03,224,0.875,bilinear,-26.480,-17.291,+53
swsl_resnext101_32x16d,57.458,42.542,80.385,19.615,194.03,224,0.875,bilinear,-25.888,-16.461,+78
swsl_resnext101_32x8d,56.438,43.562,78.944,21.056,88.79,224,0.875,bilinear,-27.846,-18.232,+48
ig_resnext101_32x8d,54.918,45.082,77.534,22.466,88.79,224,0.875,bilinear,-27.770,-19.102,+94
swsl_resnext101_32x4d,53.603,46.397,76.347,23.653,44.18,224,0.875,bilinear,-29.627,-20.413,+77
vit_large_patch16_384,52.754,47.246,74.696,25.304,304.72,384,1.000,bicubic,-34.326,-23.604,-4
vit_large_r50_s32_384,52.039,47.961,73.558,26.442,329.09,384,1.000,bicubic,-34.145,-24.360,+2
vit_large_patch16_224,51.832,48.168,73.694,26.306,304.33,224,0.900,bicubic,-34.010,-24.130,+6
tf_efficientnet_l2_ns_475,51.494,48.506,73.928,26.072,480.31,475,0.936,bicubic,-36.740,-24.618,-9
swsl_resnext50_32x4d,50.437,49.563,73.368,26.633,25.03,224,0.875,bilinear,-31.745,-22.862,+104
swin_large_patch4_window12_384,50.404,49.596,72.564,27.436,196.74,384,1.000,bicubic,-36.744,-25.670,-10
swsl_resnet50,49.541,50.459,72.334,27.666,25.56,224,0.875,bilinear,-31.625,-23.638,+134
swin_large_patch4_window7_224,48.991,51.009,71.391,28.609,196.53,224,0.900,bicubic,-37.329,-26.505,-6
swin_base_patch4_window12_384,48.553,51.447,71.813,28.187,87.90,384,1.000,bicubic,-37.879,-26.245,-8
vit_large_r50_s32_224,48.203,51.797,70.868,29.132,328.99,224,0.900,bicubic,-36.231,-26.296,+32
tf_efficientnet_b7_ns,47.800,52.200,69.640,30.360,66.35,600,0.949,bicubic,-39.040,-28.454,-13
tf_efficientnet_b6_ns,47.761,52.239,69.968,30.032,43.04,528,0.942,bicubic,-38.691,-27.914,-12
tf_efficientnet_l2_ns,47.570,52.430,70.019,29.981,480.31,800,0.960,bicubic,-40.782,-28.631,-19
tf_efficientnetv2_l_in21ft1k,46.939,53.061,70.310,29.690,118.52,480,1.000,bicubic,-39.365,-27.668,-11
vit_base_patch16_384,45.894,54.106,68.557,31.443,86.86,384,1.000,bicubic,-40.112,-29.443,-7
tf_efficientnet_b8_ap,45.774,54.226,67.911,32.089,87.41,672,0.954,bicubic,-39.596,-29.383,+3
tf_efficientnet_b5_ns,45.615,54.385,67.842,32.158,30.39,456,0.934,bicubic,-40.473,-29.910,-11
tf_efficientnetv2_m_in21ft1k,45.582,54.418,69.150,30.849,54.14,480,1.000,bicubic,-40.006,-28.602,-6
swin_base_patch4_window7_224,45.560,54.440,68.512,31.488,87.77,224,0.900,bicubic,-39.692,-29.050,+1
cait_m48_448,44.245,55.755,64.653,35.347,356.46,448,1.000,bicubic,-42.239,-33.102,-21
vit_base_r50_s16_384,43.512,56.488,66.785,33.215,98.95,384,1.000,bicubic,-41.460,-30.503,+8
tf_efficientnet_b4_ns,43.450,56.550,65.519,34.481,19.34,380,0.922,bicubic,-41.713,-31.951,-1
vit_base_patch16_224,43.220,56.780,65.708,34.292,86.57,224,0.900,bicubic,-41.312,-31.586,+14
tf_efficientnet_b8,42.508,57.492,64.857,35.143,87.41,672,0.954,bicubic,-42.862,-32.533,-6
cait_m36_384,42.398,57.602,63.324,36.676,271.22,384,1.000,bicubic,-43.656,-34.406,-18
tf_efficientnet_b7,41.431,58.569,63.017,36.983,66.35,600,0.949,bicubic,-43.505,-34.186,+4
tf_efficientnet_b7_ap,41.429,58.571,62.874,37.126,66.35,600,0.949,bicubic,-43.691,-34.378,-5
tf_efficientnet_b5_ap,41.418,58.582,62.084,37.916,30.39,456,0.934,bicubic,-42.834,-34.890,+20
resnetv2_152x4_bitm,41.302,58.698,64.307,35.693,936.53,480,1.000,bilinear,-43.614,-33.135,+2
tf_efficientnet_b6_ap,41.099,58.901,62.355,37.645,43.04,528,0.942,bicubic,-43.689,-34.783,+3
tf_efficientnetv2_s_in21ft1k,40.950,59.050,63.849,36.151,21.46,384,1.000,bicubic,-43.352,-33.403,+14
tf_efficientnet_b4_ap,40.484,59.516,61.723,38.277,19.34,380,0.922,bicubic,-42.764,-34.669,+44
vit_small_r26_s32_384,40.476,59.524,62.736,37.264,36.47,384,1.000,bicubic,-43.570,-34.592,+22
vit_base_patch16_224_miil,40.168,59.832,60.887,39.113,86.54,224,0.875,bilinear,-44.100,-35.915,+13
tf_efficientnetv2_l,39.830,60.170,60.801,39.199,118.52,480,1.000,bicubic,-45.660,-36.571,-21
dm_nfnet_f3,39.818,60.182,60.610,39.390,254.92,416,0.940,bicubic,-45.704,-36.852,-23
cait_s36_384,39.765,60.235,60.475,39.525,68.37,384,1.000,bicubic,-45.695,-37.005,-22
efficientnetv2_rw_m,39.667,60.333,59.687,40.313,53.24,416,1.000,bicubic,-45.141,-37.461,-6
ecaresnet269d,39.594,60.406,60.343,39.657,102.09,352,1.000,bicubic,-45.382,-36.883,-11
tf_efficientnet_b3_ns,39.584,60.416,61.453,38.547,12.23,300,0.904,bicubic,-44.464,-35.457,+11
dm_nfnet_f4,39.474,60.526,60.420,39.580,316.07,512,0.951,bicubic,-46.184,-37.090,-31
efficientnet_b4,39.079,60.921,59.608,40.392,19.34,384,1.000,bicubic,-44.349,-36.988,+22
tf_efficientnet_b5,38.356,61.644,59.913,40.087,30.39,456,0.934,bicubic,-45.456,-36.835,+13
vit_deit_base_distilled_patch16_384,38.260,61.740,57.783,42.217,87.63,384,1.000,bicubic,-47.162,-39.549,-28
vit_base_patch16_384,38.099,61.901,60.428,39.572,86.86,384,1.000,bicubic,-46.111,-36.790,0
cait_s24_384,37.873,62.127,58.079,41.921,47.06,384,1.000,bicubic,-47.173,-39.267,-22
resnet152d,37.857,62.143,58.356,41.644,60.21,320,1.000,bicubic,-45.823,-38.382,+14
tf_efficientnetv2_m,37.824,62.176,58.710,41.290,54.14,480,1.000,bicubic,-47.220,-38.568,-23
resnetrs420,37.747,62.253,58.215,41.785,191.89,416,1.000,bicubic,-47.261,-38.909,-23
resnetrs350,37.676,62.324,58.083,41.917,163.96,384,1.000,bicubic,-47.044,-38.905,-16
pit_b_distilled_224,37.590,62.410,57.238,42.762,74.79,224,0.900,bicubic,-46.554,-39.618,-4
tf_efficientnet_b3_ns,39.584,60.416,61.453,38.547,12.23,300,0.904,bicubic,-44.464,-35.457,+14
dm_nfnet_f6,39.578,60.422,60.911,39.089,438.36,576,0.956,bicubic,-46.566,-36.819,-36
dm_nfnet_f5,39.508,60.492,60.227,39.773,377.21,544,0.954,bicubic,-46.306,-37.261,-32
efficientnet_b4,39.079,60.921,59.608,40.392,19.34,384,1.000,bicubic,-44.349,-36.988,+28
resnetv2_152x2_bit_teacher_384,38.979,61.021,62.440,37.560,236.34,384,1.000,bicubic,-44.865,-34.678,+16
vit_base_patch32_384,38.794,61.206,60.329,39.671,88.30,384,1.000,bicubic,-44.556,-36.507,+29
eca_nfnet_l2,38.664,61.336,59.445,40.555,56.72,384,1.000,bicubic,-46.033,-37.819,-11
tf_efficientnet_b5,38.356,61.644,59.913,40.087,30.39,456,0.934,bicubic,-45.456,-36.835,+15
deit_base_distilled_patch16_384,38.260,61.740,57.783,42.217,87.63,384,1.000,bicubic,-47.162,-39.549,-31
dm_nfnet_f4,38.224,61.776,58.626,41.374,316.07,512,0.951,bicubic,-47.490,-38.894,-38
resnetv2_152x2_bitm,37.985,62.015,61.135,38.865,236.34,448,1.000,bilinear,-46.525,-36.297,-11
cait_s24_384,37.873,62.127,58.079,41.921,47.06,384,1.000,bicubic,-47.173,-39.267,-26
resnet152d,37.857,62.143,58.356,41.644,60.21,320,1.000,bicubic,-45.823,-38.382,+15
tf_efficientnetv2_m,37.824,62.176,58.710,41.290,54.14,480,1.000,bicubic,-47.220,-38.568,-27
resnetrs420,37.747,62.253,58.215,41.785,191.89,416,1.000,bicubic,-47.261,-38.909,-27
resnetrs350,37.676,62.324,58.083,41.917,163.96,384,1.000,bicubic,-47.044,-38.905,-21
pit_b_distilled_224,37.590,62.410,57.238,42.762,74.79,224,0.900,bicubic,-46.554,-39.618,-6
resnet200d,37.505,62.495,58.297,41.703,64.69,320,1.000,bicubic,-46.457,-38.526,+1
resnest269e,37.315,62.685,57.468,42.532,110.93,416,0.928,bicubic,-47.203,-39.518,-17
cait_s24_224,37.153,62.847,56.724,43.276,46.92,224,1.000,bicubic,-46.299,-39.840,+9
tf_efficientnet_b3_ap,37.055,62.945,57.240,42.760,12.23,300,0.904,bicubic,-44.767,-38.384,+53
efficientnetv2_rw_s,37.049,62.951,56.814,43.186,23.94,384,1.000,bicubic,-46.759,-39.910,+1
resnetv2_152x2_bitm,36.847,63.153,59.899,40.101,236.34,480,1.000,bilinear,-47.593,-37.547,-20
seresnet152d,36.790,63.210,56.718,43.282,66.84,320,1.000,bicubic,-47.572,-40.322,-18
resnetrs200,36.639,63.361,56.828,43.172,93.21,320,1.000,bicubic,-47.427,-40.046,-10
efficientnet_b3,36.420,63.580,56.845,43.155,12.23,320,1.000,bicubic,-45.822,-39.269,+37
cait_xs24_384,36.416,63.584,56.944,43.056,26.67,384,1.000,bicubic,-47.645,-39.945,-11
vit_deit_base_distilled_patch16_224,36.397,63.603,56.617,43.383,87.34,224,0.900,bicubic,-46.991,-39.871,+3
resnetrs270,36.320,63.680,56.562,43.438,129.86,352,1.000,bicubic,-48.114,-40.408,-25
tresnet_m,36.285,63.715,55.796,44.204,31.39,224,0.875,bilinear,-46.795,-40.322,+10
mixer_b16_224_miil,36.269,63.731,55.965,44.035,59.88,224,0.875,bilinear,-46.039,-39.751,+28
dm_nfnet_f2,36.257,63.743,55.847,44.153,193.78,352,0.920,bicubic,-48.733,-41.297,-39
tf_efficientnet_b2_ns,36.183,63.817,57.551,42.449,9.11,260,0.890,bicubic,-46.197,-38.697,+22
resnetv2_152x2_bit_teacher,37.324,62.676,59.390,40.610,236.34,224,0.875,bicubic,-45.538,-37.178,+29
resnest269e,37.315,62.685,57.468,42.532,110.93,416,0.928,bicubic,-47.203,-39.518,-21
resmlp_big_24_224_in22ft1k,37.244,62.756,58.184,41.816,129.14,224,0.875,bicubic,-47.150,-38.937,-17
vit_small_r26_s32_224,37.234,62.766,59.060,40.940,36.43,224,0.900,bicubic,-44.624,-36.962,+55
cait_s24_224,37.153,62.847,56.724,43.276,46.92,224,1.000,bicubic,-46.299,-39.840,+8
vit_base_patch32_224,37.077,62.923,59.294,40.706,88.22,224,0.900,bicubic,-43.647,-36.274,+96
tf_efficientnet_b3_ap,37.055,62.945,57.240,42.760,12.23,300,0.904,bicubic,-44.767,-38.384,+54
efficientnetv2_rw_s,37.049,62.951,56.814,43.186,23.94,384,1.000,bicubic,-46.759,-39.910,-2
seresnet152d,36.790,63.210,56.718,43.282,66.84,320,1.000,bicubic,-47.572,-40.322,-22
resnetrs200,36.639,63.361,56.828,43.172,93.21,320,1.000,bicubic,-47.427,-40.046,-15
efficientnet_b3,36.420,63.580,56.845,43.155,12.23,320,1.000,bicubic,-45.822,-39.269,+39
cait_xs24_384,36.416,63.584,56.944,43.056,26.67,384,1.000,bicubic,-47.645,-39.945,-16
deit_base_distilled_patch16_224,36.397,63.603,56.617,43.383,87.34,224,0.900,bicubic,-46.991,-39.871,+2
resnetv2_101x3_bitm,36.381,63.619,59.070,40.930,387.93,448,1.000,bilinear,-48.059,-38.312,-31
resnetrs270,36.320,63.680,56.562,43.438,129.86,352,1.000,bicubic,-48.114,-40.408,-31
tresnet_m,36.285,63.715,55.796,44.204,31.39,224,0.875,bilinear,-46.795,-40.322,+9
mixer_b16_224_miil,36.269,63.731,55.965,44.035,59.88,224,0.875,bilinear,-46.039,-39.751,+29
tf_efficientnet_b2_ns,36.183,63.817,57.551,42.449,9.11,260,0.890,bicubic,-46.197,-38.697,+23
dm_nfnet_f2,36.004,63.996,55.456,44.544,193.78,352,0.920,bicubic,-49.060,-41.784,-52
ecaresnet101d,36.004,63.996,56.165,43.835,44.57,224,0.875,bicubic,-46.168,-39.881,+33
resnest200e,35.931,64.069,55.849,44.151,70.20,320,0.909,bicubic,-47.901,-41.045,-14
swsl_resnet18,35.858,64.142,58.455,41.545,11.69,224,0.875,bilinear,-37.418,-33.279,+292
eca_nfnet_l1,35.856,64.144,55.955,44.045,41.41,320,1.000,bicubic,-48.151,-41.073,-19
vit_base_patch16_224,35.768,64.232,57.390,42.610,86.57,224,0.900,bicubic,-46.018,-38.732,+37
resnest101e,35.373,64.627,55.780,44.220,48.28,256,0.875,bilinear,-47.517,-40.540,+6
convit_base,35.314,64.686,54.927,45.073,86.54,224,0.875,bicubic,-46.976,-41.011,+20
resnetv2_101x3_bitm,35.261,64.739,57.851,42.149,387.93,480,1.000,bilinear,-49.133,-39.511,-36
dm_nfnet_f1,35.192,64.808,54.413,45.587,132.63,320,0.910,bicubic,-49.412,-42.655,-41
twins_svt_large,35.086,64.914,54.721,45.279,99.27,224,0.900,bicubic,-48.592,-41.873,-15
repvgg_b3,35.043,64.957,54.542,45.458,123.09,224,0.875,bilinear,-45.449,-40.718,+74
repvgg_b3g4,35.043,64.957,54.772,45.228,83.83,224,0.875,bilinear,-45.171,-40.338,+90
resnet101d,34.872,65.128,54.202,45.798,44.57,320,1.000,bicubic,-48.150,-42.244,-3
vit_large_patch32_384,34.673,65.326,55.729,44.271,306.63,384,1.000,bicubic,-46.833,-40.363,+38
dm_nfnet_f0,34.642,65.358,54.762,45.238,71.49,256,0.900,bicubic,-48.700,-41.798,-15
ssl_resnext101_32x16d,34.605,65.395,55.931,44.069,194.03,224,0.875,bilinear,-47.239,-40.165,+24
repvgg_b2g4,34.587,65.413,54.782,45.218,61.76,224,0.875,bilinear,-44.779,-39.906,+124
resnest50d_4s2x40d,34.355,65.645,54.725,45.275,30.42,224,0.875,bicubic,-46.753,-40.833,+48
resnetrs152,34.355,65.645,53.562,46.438,86.62,320,1.000,bicubic,-49.357,-43.052,-27
resnest200e,35.931,64.069,55.849,44.151,70.20,320,0.909,bicubic,-47.901,-41.045,-17
swsl_resnet18,35.858,64.142,58.455,41.545,11.69,224,0.875,bilinear,-37.418,-33.279,+305
eca_nfnet_l1,35.823,64.177,55.957,44.043,41.41,320,1.000,bicubic,-48.187,-41.071,-23
vit_small_patch16_384,35.479,64.521,57.549,42.451,22.20,384,1.000,bicubic,-48.323,-39.553,-17
resnest101e,35.373,64.627,55.780,44.220,48.28,256,0.875,bilinear,-47.517,-40.540,+4
convit_base,35.314,64.686,54.927,45.073,86.54,224,0.875,bicubic,-46.976,-41.011,+21
twins_svt_large,35.086,64.914,54.721,45.279,99.27,224,0.900,bicubic,-48.592,-41.873,-16
repvgg_b3g4,35.043,64.957,54.772,45.228,83.83,224,0.875,bilinear,-45.169,-40.338,+98
repvgg_b3,35.043,64.957,54.542,45.458,123.09,224,0.875,bilinear,-45.449,-40.718,+80
dm_nfnet_f1,34.990,65.010,54.108,45.892,132.63,320,0.910,bicubic,-49.636,-42.992,-51
resnet101d,34.872,65.128,54.202,45.798,44.57,320,1.000,bicubic,-48.150,-42.244,-4
resmlp_big_24_distilled_224,34.788,65.213,54.637,45.363,129.14,224,0.875,bicubic,-48.803,-42.011,-20
vit_large_patch32_384,34.673,65.326,55.729,44.271,306.63,384,1.000,bicubic,-46.833,-40.363,+37
dm_nfnet_f0,34.618,65.382,54.672,45.328,71.49,256,0.900,bicubic,-48.767,-41.900,-18
ssl_resnext101_32x16d,34.605,65.395,55.931,44.069,194.03,224,0.875,bilinear,-47.239,-40.165,+25
repvgg_b2g4,34.587,65.413,54.782,45.218,61.76,224,0.875,bilinear,-44.779,-39.906,+131
resnest50d_4s2x40d,34.355,65.645,54.725,45.275,30.42,224,0.875,bicubic,-46.753,-40.833,+49
resnetrs152,34.355,65.645,53.562,46.438,86.62,320,1.000,bicubic,-49.357,-43.052,-30
tf_efficientnet_b1_ns,34.157,65.843,55.489,44.511,7.79,240,0.882,bicubic,-47.231,-40.249,+36
twins_pcpvt_large,34.111,65.888,54.128,45.872,60.99,224,0.900,bicubic,-49.029,-42.470,-17
tf_efficientnet_b4,34.064,65.936,54.198,45.802,19.34,380,0.922,bicubic,-48.958,-42.102,-11
nfnet_l0,34.029,65.971,54.418,45.582,35.07,288,1.000,bicubic,-48.731,-42.080,-9
twins_pcpvt_large,34.111,65.888,54.128,45.872,60.99,224,0.900,bicubic,-49.029,-42.470,-18
tf_efficientnet_b4,34.064,65.936,54.198,45.802,19.34,380,0.922,bicubic,-48.958,-42.102,-13
ssl_resnext101_32x8d,34.017,65.983,55.601,44.399,88.79,224,0.875,bilinear,-47.599,-40.437,+24
tf_efficientnet_b6,33.998,66.002,54.544,45.456,43.04,528,0.942,bicubic,-50.112,-42.342,-44
efficientnet_b3_pruned,33.996,66.004,54.108,45.892,9.86,300,0.904,bicubic,-46.862,-41.134,+50
regnety_160,33.976,66.024,53.546,46.454,83.59,288,1.000,bicubic,-49.710,-43.230,-34
nfnet_l0,34.002,65.999,54.365,45.635,35.07,288,1.000,bicubic,-48.748,-42.151,-10
tf_efficientnet_b6,33.998,66.002,54.544,45.456,43.04,528,0.942,bicubic,-50.112,-42.342,-50
efficientnet_b3_pruned,33.996,66.004,54.108,45.892,9.86,300,0.904,bicubic,-46.862,-41.134,+52
regnety_160,33.976,66.024,53.546,46.454,83.59,288,1.000,bicubic,-49.710,-43.230,-37
pit_s_distilled_224,33.939,66.061,53.265,46.735,24.04,224,0.900,bicubic,-48.057,-42.533,+10
resnet51q,33.563,66.437,53.021,46.979,35.70,288,1.000,bilinear,-48.797,-43.159,-6
regnety_032,33.412,66.588,52.754,47.246,19.44,288,1.000,bicubic,-49.312,-43.670,-15
gernet_l,33.357,66.643,51.901,48.099,31.08,256,0.875,bilinear,-47.997,-43.635,+27
tresnet_xl,33.257,66.743,52.294,47.706,78.44,224,0.875,bilinear,-48.797,-43.642,+4
resnest50d_1s4x24d,33.147,66.853,52.839,47.161,25.68,224,0.875,bicubic,-47.841,-42.483,+37
twins_pcpvt_base,33.021,66.979,52.485,47.515,43.83,224,0.900,bicubic,-49.687,-43.861,-18
rexnet_200,32.987,67.013,52.939,47.061,16.37,224,0.875,bicubic,-48.645,-42.729,+12
resnest50d,32.972,67.028,52.713,47.287,27.48,224,0.875,bilinear,-48.002,-42.665,+35
tf_efficientnetv2_s,32.915,67.085,51.726,48.274,21.46,384,1.000,bicubic,-50.979,-44.972,-50
convit_small,32.913,67.087,52.123,47.877,27.78,224,0.875,bicubic,-48.513,-43.621,+17
tf_efficientnet_b3,32.860,67.140,52.950,47.050,12.23,300,0.904,bicubic,-48.776,-42.768,+7
pnasnet5large,32.848,67.152,50.500,49.500,86.06,331,0.911,bicubic,-49.934,-45.540,-27
twins_svt_base,32.836,67.164,51.559,48.441,56.07,224,0.900,bicubic,-50.300,-44.859,-36
nasnetalarge,32.775,67.225,50.141,49.859,88.75,331,0.911,bicubic,-49.845,-45.906,-24
gernet_m,32.740,67.260,51.913,48.087,21.14,224,0.875,bilinear,-47.992,-43.271,+36
inception_resnet_v2,32.738,67.262,50.648,49.352,55.84,299,0.897,bicubic,-47.720,-44.658,+45
gluon_resnet152_v1d,32.734,67.266,51.088,48.912,60.21,224,0.875,bicubic,-47.740,-44.118,+42
pit_b_224,32.718,67.282,49.852,50.148,73.76,224,0.900,bicubic,-49.728,-45.858,-25
tf_efficientnet_b2_ap,32.681,67.319,52.239,47.761,9.11,260,0.890,bicubic,-47.619,-42.789,+50
tresnet_l,32.559,67.441,51.139,48.861,55.99,224,0.875,bilinear,-48.931,-44.485,+5
cait_xxs36_384,32.549,67.451,52.233,47.767,17.37,384,1.000,bicubic,-49.645,-43.915,-17
vit_base_patch32_384,32.461,67.539,52.444,47.556,88.30,384,1.000,bicubic,-49.191,-43.684,-5
wide_resnet50_2,32.439,67.561,51.459,48.541,68.88,224,0.875,bicubic,-49.017,-44.073,+3
resnetv2_50x3_bitm,32.410,67.590,54.314,45.686,217.32,480,1.000,bilinear,-51.374,-42.792,-61
ens_adv_inception_resnet_v2,32.370,67.629,50.427,49.573,55.84,299,0.897,bicubic,-47.611,-44.509,+59
vit_deit_base_patch16_224,32.363,67.637,51.011,48.989,86.57,224,0.900,bicubic,-49.635,-44.723,-17
swin_small_patch4_window7_224,32.341,67.659,50.905,49.095,49.61,224,0.900,bicubic,-50.871,-45.417,-52
gluon_resnet152_v1s,32.331,67.669,50.526,49.474,60.32,224,0.875,bicubic,-48.685,-44.886,+13
vit_deit_small_distilled_patch16_224,32.284,67.716,52.102,47.898,22.44,224,0.900,bicubic,-48.916,-43.276,+7
gluon_seresnext101_64x4d,32.205,67.795,50.319,49.681,88.23,224,0.875,bicubic,-48.689,-44.989,+17
coat_lite_small,32.127,67.873,49.934,50.066,19.84,224,0.900,bicubic,-50.181,-45.916,-34
gluon_seresnext101_32x4d,32.107,67.893,51.237,48.763,48.96,224,0.875,bicubic,-48.797,-44.057,+14
vit_deit_base_patch16_384,31.989,68.011,50.547,49.453,86.86,384,1.000,bicubic,-51.117,-45.825,-55
resnetv2_50x3_bitm,33.658,66.342,55.882,44.118,217.32,448,1.000,bilinear,-50.356,-41.242,-49
resnet51q,33.563,66.437,53.021,46.979,35.70,288,1.000,bilinear,-48.797,-43.159,-7
regnety_032,33.412,66.588,52.754,47.246,19.44,288,1.000,bicubic,-49.312,-43.670,-16
gernet_l,33.357,66.643,51.901,48.099,31.08,256,0.875,bilinear,-47.997,-43.635,+26
tresnet_xl,33.257,66.743,52.294,47.706,78.44,224,0.875,bilinear,-48.797,-43.642,+3
resnest50d_1s4x24d,33.147,66.853,52.839,47.161,25.68,224,0.875,bicubic,-47.841,-42.483,+38
twins_pcpvt_base,33.021,66.979,52.485,47.515,43.83,224,0.900,bicubic,-49.687,-43.861,-19
rexnet_200,32.987,67.013,52.939,47.061,16.37,224,0.875,bicubic,-48.645,-42.729,+10
resnest50d,32.972,67.028,52.713,47.287,27.48,224,0.875,bilinear,-48.002,-42.665,+36
tf_efficientnetv2_s,32.915,67.085,51.726,48.274,21.46,384,1.000,bicubic,-50.979,-44.972,-55
convit_small,32.913,67.087,52.123,47.877,27.78,224,0.875,bicubic,-48.513,-43.621,+15
vit_small_patch16_224,32.885,67.115,53.923,46.077,22.05,224,0.900,bicubic,-48.517,-42.211,+15
tf_efficientnet_b3,32.860,67.140,52.950,47.050,12.23,300,0.904,bicubic,-48.776,-42.768,+4
pnasnet5large,32.848,67.152,50.500,49.500,86.06,331,0.911,bicubic,-49.934,-45.540,-29
twins_svt_base,32.836,67.164,51.559,48.441,56.07,224,0.900,bicubic,-50.300,-44.859,-39
nasnetalarge,32.775,67.225,50.141,49.859,88.75,331,0.911,bicubic,-49.845,-45.906,-26
gernet_m,32.740,67.260,51.913,48.087,21.14,224,0.875,bilinear,-47.992,-43.271,+37
inception_resnet_v2,32.738,67.262,50.648,49.352,55.84,299,0.897,bicubic,-47.720,-44.658,+48
gluon_resnet152_v1d,32.734,67.266,51.088,48.912,60.21,224,0.875,bicubic,-47.740,-44.118,+45
pit_b_224,32.718,67.282,49.852,50.148,73.76,224,0.900,bicubic,-49.728,-45.858,-27
tf_efficientnet_b2_ap,32.681,67.319,52.239,47.761,9.11,260,0.890,bicubic,-47.619,-42.979,+53
tresnet_l,32.559,67.441,51.139,48.861,55.99,224,0.875,bilinear,-48.931,-44.485,+2
cait_xxs36_384,32.549,67.451,52.233,47.767,17.37,384,1.000,bicubic,-49.645,-43.915,-19
wide_resnet50_2,32.439,67.561,51.459,48.541,68.88,224,0.875,bicubic,-49.017,-44.073,+1
ens_adv_inception_resnet_v2,32.370,67.629,50.427,49.573,55.84,299,0.897,bicubic,-47.611,-44.511,+64
deit_base_patch16_224,32.363,67.637,51.011,48.989,86.57,224,0.900,bicubic,-49.635,-44.723,-17
swin_small_patch4_window7_224,32.341,67.659,50.905,49.095,49.61,224,0.900,bicubic,-50.871,-45.417,-53
gluon_resnet152_v1s,32.331,67.669,50.526,49.474,60.32,224,0.875,bicubic,-48.685,-44.886,+15
deit_small_distilled_patch16_224,32.284,67.716,52.102,47.898,22.44,224,0.900,bicubic,-48.916,-43.276,+7
gluon_seresnext101_64x4d,32.205,67.795,50.319,49.681,88.23,224,0.875,bicubic,-48.689,-44.989,+19
coat_lite_small,32.127,67.873,49.934,50.066,19.84,224,0.900,bicubic,-50.181,-45.916,-33
gluon_seresnext101_32x4d,32.107,67.893,51.237,48.763,48.96,224,0.875,bicubic,-48.797,-44.057,+16
deit_base_patch16_384,31.989,68.011,50.547,49.453,86.86,384,1.000,bicubic,-51.117,-45.825,-56
seresnext50_32x4d,31.985,68.015,51.231,48.769,27.56,224,0.875,bicubic,-49.281,-44.389,0
levit_384,31.877,68.123,50.598,49.402,39.13,224,0.900,bicubic,-50.709,-45.418,-43
resnetrs101,31.858,68.142,51.017,48.983,63.62,288,0.940,bicubic,-50.430,-44.991,-36
cspresnext50,31.822,68.178,51.602,48.398,20.57,224,0.875,bilinear,-48.218,-43.342,+45
eca_nfnet_l0,31.657,68.343,51.654,48.346,24.14,288,1.000,bicubic,-50.931,-44.820,-47
levit_384,31.877,68.123,50.598,49.402,39.13,224,0.900,bicubic,-50.709,-45.418,-44
resnetrs101,31.858,68.142,51.017,48.983,63.62,288,0.940,bicubic,-50.430,-44.991,-35
cspresnext50,31.822,68.178,51.602,48.398,20.57,224,0.875,bilinear,-48.218,-43.342,+50
tnt_s_patch16_224,31.643,68.357,51.143,48.857,23.76,224,0.900,bicubic,-49.875,-44.605,-17
resnet50,31.547,68.453,50.170,49.830,25.56,224,0.875,bicubic,-47.491,-44.220,+96
ssl_resnext101_32x4d,31.423,68.577,52.121,47.879,44.18,224,0.875,bilinear,-49.501,-43.607,+4
inception_v4,31.378,68.622,49.244,50.756,42.68,299,0.875,bicubic,-48.790,-45.724,+35
rexnet_150,31.366,68.634,51.288,48.712,9.73,224,0.875,bicubic,-48.944,-43.878,+23
eca_nfnet_l0,31.612,68.388,51.612,48.388,24.14,288,1.000,bicubic,-50.968,-44.878,-47
resnetv2_50x1_bit_distilled,31.584,68.416,51.263,48.737,25.55,224,0.875,bicubic,-51.234,-45.259,-56
resnet50,31.547,68.453,50.170,49.830,25.56,224,0.875,bicubic,-47.491,-44.220,+102
ssl_resnext101_32x4d,31.423,68.577,52.121,47.879,44.18,224,0.875,bilinear,-49.501,-43.607,+5
inception_v4,31.378,68.622,49.244,50.756,42.68,299,0.875,bicubic,-48.790,-45.724,+39
rexnet_150,31.366,68.634,51.288,48.712,9.73,224,0.875,bicubic,-48.944,-43.878,+28
pit_s_224,31.333,68.667,49.661,50.339,23.46,224,0.900,bicubic,-49.761,-45.671,-5
cait_xxs36_224,31.278,68.722,50.616,49.384,17.30,224,1.000,bicubic,-48.472,-44.250,+53
cspresnet50,31.270,68.730,51.223,48.777,21.62,256,0.887,bilinear,-48.304,-43.489,+60
coat_mini,31.203,68.797,49.773,50.227,10.34,224,0.900,bicubic,-50.065,-45.619,-14
ecaresnetlight,31.121,68.879,50.243,49.757,30.16,224,0.875,bicubic,-49.341,-45.007,+12
gluon_resnet101_v1s,31.115,68.885,49.793,50.207,44.67,224,0.875,bicubic,-49.187,-45.367,+18
tf_efficientnet_cc_b0_8e,31.087,68.913,50.761,49.239,24.01,224,0.875,bicubic,-46.821,-42.892,+132
ecaresnet50d,31.058,68.942,50.848,49.152,25.58,224,0.875,bicubic,-49.534,-44.472,+4
ecaresnet50t,31.058,68.942,50.577,49.423,25.57,320,0.950,bicubic,-51.288,-45.561,-56
resnet50d,31.020,68.980,49.808,50.192,25.58,224,0.875,bicubic,-49.510,-45.352,+3
cspdarknet53,31.018,68.981,50.390,49.610,27.64,256,0.887,bilinear,-49.040,-44.694,+27
gluon_resnet152_v1c,30.991,69.009,48.924,51.076,60.21,224,0.875,bicubic,-48.919,-45.916,+32
gluon_resnext101_64x4d,30.987,69.013,48.549,51.451,83.46,224,0.875,bicubic,-49.617,-46.439,-2
twins_svt_small,30.985,69.015,49.223,50.777,24.06,224,0.900,bicubic,-50.697,-46.447,-41
tf_efficientnet_cc_b1_8e,30.899,69.101,50.080,49.920,39.72,240,0.882,bicubic,-48.409,-44.290,+59
ecaresnet101d_pruned,30.897,69.103,50.013,49.987,24.88,224,0.875,bicubic,-49.921,-45.615,-10
gluon_resnext101_32x4d,30.877,69.123,48.537,51.463,44.18,224,0.875,bicubic,-49.457,-46.389,+4
tf_efficientnetv2_b3,30.861,69.139,49.814,50.186,14.36,300,0.904,bicubic,-51.109,-45.968,-50
tf_efficientnet_lite4,30.830,69.170,50.386,49.614,13.01,380,0.920,bilinear,-50.706,-45.282,-41
nf_resnet50,30.775,69.225,50.074,49.926,25.56,288,0.940,bicubic,-49.919,-45.282,-11
dpn107,30.678,69.322,48.810,51.190,86.92,224,0.875,bicubic,-49.478,-46.100,+14
ese_vovnet39b,30.657,69.343,49.875,50.125,24.57,224,0.875,bicubic,-48.663,-44.837,+50
gluon_resnet152_v1b,30.623,69.376,48.521,51.479,60.19,224,0.875,bicubic,-49.063,-46.215,+36
tresnet_xl_448,30.614,69.386,49.069,50.931,78.44,448,0.875,bilinear,-52.436,-47.105,-86
ssl_resnext50_32x4d,30.594,69.406,50.657,49.343,25.03,224,0.875,bilinear,-49.724,-44.749,-3
gluon_resnet101_v1d,30.523,69.477,47.950,52.050,44.57,224,0.875,bicubic,-49.891,-47.064,-7
dpn68b,30.517,69.483,49.158,50.842,12.61,224,0.875,bicubic,-48.699,-45.256,+57
resnest26d,30.490,69.510,50.677,49.323,17.07,224,0.875,bilinear,-47.988,-43.621,+84
efficientnet_b2,30.435,69.565,49.698,50.302,9.11,288,1.000,bicubic,-50.177,-45.620,-19
tf_efficientnet_b1_ap,30.421,69.579,49.553,50.447,7.79,240,0.882,bicubic,-48.859,-44.753,+50
twins_pcpvt_small,30.382,69.618,49.386,50.614,24.11,224,0.900,bicubic,-50.706,-46.256,-34
visformer_small,30.329,69.671,48.285,51.715,40.22,224,0.900,bicubic,-51.777,-47.587,-68
pit_xs_distilled_224,30.278,69.722,49.836,50.164,11.00,224,0.900,bicubic,-49.028,-44.528,+44
seresnet50,30.077,69.923,49.292,50.708,28.09,224,0.875,bicubic,-50.197,-45.778,-7
dpn98,30.067,69.933,48.244,51.756,61.57,224,0.875,bicubic,-49.575,-46.354,+26
tf_efficientnet_b2,30.026,69.974,49.581,50.419,9.11,260,0.890,bicubic,-50.060,-45.328,+1
dpn131,30.024,69.976,48.146,51.854,79.25,224,0.875,bicubic,-49.798,-46.564,+15
efficientnet_el,30.018,69.982,48.834,51.166,10.59,300,0.904,bicubic,-51.298,-46.692,-50
legacy_senet154,30.001,69.999,48.034,51.966,115.09,224,0.875,bilinear,-51.309,-47.462,-50
dpn92,29.953,70.047,49.162,50.838,37.67,224,0.875,bicubic,-50.055,-45.674,0
gluon_senet154,29.877,70.123,47.894,52.106,115.09,224,0.875,bicubic,-51.357,-47.454,-49
xception,29.865,70.135,48.686,51.314,22.86,299,0.897,bicubic,-49.187,-45.706,+50
adv_inception_v3,29.816,70.184,47.847,52.153,23.83,299,0.875,bicubic,-47.766,-45.889,+107
gluon_xception65,29.784,70.216,47.755,52.245,39.92,299,0.903,bicubic,-49.932,-47.105,+14
resnetblur50,29.625,70.375,48.248,51.752,25.56,224,0.875,bicubic,-49.661,-46.390,+34
efficientnet_em,29.486,70.514,48.946,51.054,6.90,240,0.882,bicubic,-49.766,-45.848,+35
resnext101_32x8d,29.439,70.561,48.486,51.514,88.79,224,0.875,bilinear,-49.869,-46.032,+26
coat_lite_mini,29.433,70.567,47.724,52.276,11.01,224,0.900,bicubic,-49.655,-46.880,+40
ssl_resnet50,29.423,70.577,49.781,50.219,25.56,224,0.875,bilinear,-49.799,-45.051,+33
vit_deit_small_patch16_224,29.421,70.579,48.256,51.744,22.05,224,0.900,bicubic,-50.435,-46.796,-1
nf_regnet_b1,29.397,70.603,49.445,50.555,10.22,288,0.900,bicubic,-49.909,-45.303,+25
cait_xxs24_384,29.387,70.612,48.753,51.247,12.03,384,1.000,bicubic,-51.578,-46.893,-51
swin_tiny_patch4_window7_224,29.334,70.666,47.602,52.398,28.29,224,0.900,bicubic,-52.044,-47.938,-67
resnext50_32x4d,29.331,70.669,47.397,52.603,25.03,224,0.875,bicubic,-50.438,-47.201,0
resnet34d,29.328,70.671,48.409,51.591,21.82,224,0.875,bicubic,-47.788,-44.973,+109
cait_xxs24_224,29.303,70.697,48.535,51.465,11.96,224,1.000,bicubic,-49.083,-45.775,+62
ecaresnet50d_pruned,29.215,70.785,48.453,51.547,19.94,224,0.875,bicubic,-50.501,-46.427,0
tresnet_l_448,29.165,70.835,47.232,52.768,55.99,448,0.875,bilinear,-53.103,-48.744,-100
gluon_inception_v3,29.122,70.878,46.957,53.043,23.83,299,0.875,bicubic,-49.684,-47.413,+40
cait_xxs36_224,31.278,68.722,50.616,49.384,17.30,224,1.000,bicubic,-48.472,-44.250,+58
cspresnet50,31.270,68.730,51.223,48.777,21.62,256,0.887,bilinear,-48.304,-43.489,+65
coat_mini,31.203,68.797,49.773,50.227,10.34,224,0.900,bicubic,-50.065,-45.619,-15
ecaresnetlight,31.121,68.879,50.243,49.757,30.16,224,0.875,bicubic,-49.341,-45.007,+16
gluon_resnet101_v1s,31.115,68.885,49.793,50.207,44.67,224,0.875,bicubic,-49.187,-45.367,+23
tf_efficientnet_cc_b0_8e,31.087,68.913,50.761,49.239,24.01,224,0.875,bicubic,-46.821,-42.892,+141
resmlp_36_distilled_224,31.070,68.930,49.683,50.317,44.69,224,0.875,bicubic,-50.090,-45.805,-14
ecaresnet50d,31.058,68.942,50.848,49.152,25.58,224,0.875,bicubic,-49.534,-44.472,+6
ecaresnet50t,31.058,68.942,50.577,49.423,25.57,320,0.950,bicubic,-51.288,-45.561,-58
resnet50d,31.020,68.980,49.808,50.192,25.58,224,0.875,bicubic,-49.510,-45.352,+5
cspdarknet53,31.018,68.981,50.390,49.610,27.64,256,0.887,bilinear,-49.040,-44.694,+30
gluon_resnet152_v1c,30.991,69.009,48.924,51.076,60.21,224,0.875,bicubic,-48.919,-45.916,+35
gluon_resnext101_64x4d,30.987,69.013,48.549,51.451,83.46,224,0.875,bicubic,-49.617,-46.439,0
twins_svt_small,30.985,69.015,49.223,50.777,24.06,224,0.900,bicubic,-50.697,-46.447,-43
resmlp_24_distilled_224,30.901,69.099,50.178,49.822,30.02,224,0.875,bicubic,-49.865,-45.040,-7
tf_efficientnet_cc_b1_8e,30.899,69.101,50.080,49.920,39.72,240,0.882,bicubic,-48.409,-44.290,+63
ecaresnet101d_pruned,30.897,69.103,50.013,49.987,24.88,224,0.875,bicubic,-49.921,-45.615,-11
gluon_resnext101_32x4d,30.877,69.123,48.537,51.463,44.18,224,0.875,bicubic,-49.457,-46.389,+7
tf_efficientnetv2_b3,30.861,69.139,49.814,50.186,14.36,300,0.904,bicubic,-51.109,-45.968,-53
tf_efficientnet_lite4,30.830,69.170,50.386,49.614,13.01,380,0.920,bilinear,-50.706,-45.282,-45
nf_resnet50,30.702,69.298,49.958,50.042,25.56,288,0.940,bicubic,-49.958,-45.378,-10
dpn107,30.678,69.322,48.810,51.190,86.92,224,0.875,bicubic,-49.478,-46.100,+16
ese_vovnet39b,30.657,69.343,49.875,50.125,24.57,224,0.875,bicubic,-48.663,-44.837,+54
gluon_resnet152_v1b,30.623,69.376,48.521,51.479,60.19,224,0.875,bicubic,-49.063,-46.215,+39
tresnet_xl_448,30.614,69.386,49.069,50.931,78.44,448,0.875,bilinear,-52.436,-47.105,-91
ssl_resnext50_32x4d,30.594,69.406,50.657,49.343,25.03,224,0.875,bilinear,-49.724,-44.749,0
gluon_resnet101_v1d,30.523,69.477,47.950,52.050,44.57,224,0.875,bicubic,-49.891,-47.064,-5
dpn68b,30.517,69.483,49.158,50.842,12.61,224,0.875,bicubic,-48.699,-45.256,+61
resnest26d,30.490,69.510,50.677,49.323,17.07,224,0.875,bilinear,-47.988,-43.621,+88
efficientnet_b2,30.435,69.565,49.698,50.302,9.11,288,1.000,bicubic,-50.177,-45.620,-18
tf_efficientnet_b1_ap,30.421,69.579,49.553,50.447,7.79,240,0.882,bicubic,-48.859,-44.753,+54
twins_pcpvt_small,30.382,69.618,49.386,50.614,24.11,224,0.900,bicubic,-50.706,-46.256,-36
visformer_small,30.329,69.671,48.285,51.715,40.22,224,0.900,bicubic,-51.777,-47.587,-71
pit_xs_distilled_224,30.278,69.722,49.836,50.164,11.00,224,0.900,bicubic,-49.028,-44.528,+47
seresnet50,30.077,69.923,49.292,50.708,28.09,224,0.875,bicubic,-50.197,-45.778,-4
dpn98,30.067,69.933,48.244,51.756,61.57,224,0.875,bicubic,-49.575,-46.354,+29
tf_efficientnet_b2,30.026,69.974,49.581,50.419,9.11,260,0.890,bicubic,-50.060,-45.328,+3
dpn131,30.024,69.976,48.146,51.854,79.25,224,0.875,bicubic,-49.798,-46.564,+17
efficientnet_el,30.018,69.982,48.834,51.166,10.59,300,0.904,bicubic,-51.298,-46.692,-53
legacy_senet154,30.001,69.999,48.034,51.966,115.09,224,0.875,bilinear,-51.309,-47.462,-53
dpn92,29.953,70.047,49.162,50.838,37.67,224,0.875,bicubic,-50.055,-45.674,+2
resnetv2_101x1_bitm,29.898,70.102,51.121,48.879,44.54,448,1.000,bilinear,-52.434,-45.397,-90
gluon_senet154,29.877,70.123,47.894,52.106,115.09,224,0.875,bicubic,-51.357,-47.454,-53
xception,29.865,70.135,48.686,51.314,22.86,299,0.897,bicubic,-49.187,-45.706,+53
adv_inception_v3,29.816,70.184,47.847,52.153,23.83,299,0.875,bicubic,-47.766,-45.889,+112
gluon_xception65,29.784,70.216,47.755,52.245,39.92,299,0.903,bicubic,-49.932,-47.105,+16
resmlp_36_224,29.692,70.308,48.969,51.031,44.69,224,0.875,bicubic,-50.078,-45.917,+10
resnetblur50,29.625,70.375,48.248,51.752,25.56,224,0.875,bicubic,-49.661,-46.390,+36
efficientnet_em,29.486,70.514,48.946,51.054,6.90,240,0.882,bicubic,-49.766,-45.848,+37
resnext101_32x8d,29.439,70.561,48.486,51.514,88.79,224,0.875,bilinear,-49.869,-46.032,+28
coat_lite_mini,29.433,70.567,47.724,52.276,11.01,224,0.900,bicubic,-49.655,-46.880,+42
ssl_resnet50,29.423,70.577,49.781,50.219,25.56,224,0.875,bilinear,-49.799,-45.051,+35
deit_small_patch16_224,29.421,70.579,48.256,51.744,22.05,224,0.900,bicubic,-50.435,-46.796,-2
nf_regnet_b1,29.390,70.611,49.425,50.575,10.22,288,0.900,bicubic,-49.903,-45.323,+29
cait_xxs24_384,29.387,70.612,48.753,51.247,12.03,384,1.000,bicubic,-51.578,-46.893,-54
swin_tiny_patch4_window7_224,29.334,70.666,47.602,52.398,28.29,224,0.900,bicubic,-52.044,-47.938,-72
resnext50_32x4d,29.331,70.669,47.397,52.603,25.03,224,0.875,bicubic,-50.438,-47.201,+1
resnet34d,29.328,70.671,48.409,51.591,21.82,224,0.875,bicubic,-47.788,-44.973,+113
cait_xxs24_224,29.303,70.697,48.535,51.465,11.96,224,1.000,bicubic,-49.083,-45.775,+65
ecaresnet50d_pruned,29.215,70.785,48.453,51.547,19.94,224,0.875,bicubic,-50.501,-46.427,+1
tresnet_l_448,29.165,70.835,47.232,52.768,55.99,448,0.875,bilinear,-53.103,-48.744,-104
gluon_inception_v3,29.122,70.878,46.957,53.043,23.83,299,0.875,bicubic,-49.684,-47.413,+42
xception71,29.047,70.953,47.405,52.595,42.34,299,0.903,bicubic,-50.826,-47.517,-13
hrnet_w64,28.989,71.011,47.142,52.858,128.06,224,0.875,bilinear,-50.485,-47.510,+6
resnetv2_101x1_bitm,28.910,71.090,49.502,50.498,44.54,480,1.000,bilinear,-53.302,-46.970,-102
tf_efficientnet_b0_ns,28.902,71.098,49.011,50.989,5.29,224,0.875,bicubic,-49.756,-45.365,+43
xception65,28.896,71.104,47.167,52.833,39.92,299,0.903,bicubic,-50.656,-47.487,0
tf_efficientnet_b1,28.886,71.114,47.503,52.497,7.79,240,0.882,bicubic,-49.940,-46.695,+33
gluon_resnet101_v1b,28.878,71.121,46.389,53.611,44.55,224,0.875,bicubic,-50.427,-48.135,+9
hrnet_w64,28.989,71.011,47.142,52.858,128.06,224,0.875,bilinear,-50.485,-47.510,+7
tf_efficientnet_b0_ns,28.902,71.098,49.011,50.989,5.29,224,0.875,bicubic,-49.756,-45.365,+46
xception65,28.896,71.104,47.167,52.833,39.92,299,0.903,bicubic,-50.656,-47.487,+2
tf_efficientnet_b1,28.886,71.114,47.503,52.497,7.79,240,0.882,bicubic,-49.940,-46.695,+36
gluon_resnet101_v1b,28.878,71.121,46.389,53.611,44.55,224,0.875,bicubic,-50.427,-48.135,+12
vit_small_patch32_384,28.871,71.129,48.887,51.113,22.92,384,1.000,bicubic,-51.609,-46.711,-52
skresnext50_32x4d,28.818,71.182,46.497,53.503,27.48,224,0.875,bicubic,-51.338,-48.145,-31
levit_256,28.745,71.255,46.723,53.277,18.89,224,0.900,bicubic,-52.765,-48.767,-88
levit_256,28.745,71.255,46.723,53.277,18.89,224,0.900,bicubic,-52.765,-48.767,-94
tf_efficientnet_lite3,28.660,71.340,47.354,52.646,8.20,300,0.904,bilinear,-51.160,-47.560,-16
gluon_seresnext50_32x4d,28.651,71.349,46.436,53.564,27.56,224,0.875,bicubic,-51.267,-48.386,-28
skresnet34,28.645,71.355,47.953,52.047,22.28,224,0.875,bicubic,-48.267,-45.369,+101
hrnet_w40,28.641,71.359,47.454,52.546,57.56,224,0.875,bilinear,-50.279,-47.016,+23
tf_efficientnetv2_b0,28.566,71.434,47.079,52.921,7.14,224,0.875,bicubic,-49.790,-46.945,+48
tv_resnet152,28.533,71.467,47.118,52.882,60.19,224,0.875,bilinear,-49.779,-46.920,+48
repvgg_b2,28.427,71.573,47.038,52.962,89.02,224,0.875,bilinear,-50.365,-47.376,+26
hrnet_w48,28.413,71.587,47.586,52.414,77.47,224,0.875,bilinear,-50.887,-46.926,+2
gluon_resnext50_32x4d,28.375,71.624,45.328,54.672,25.03,224,0.875,bicubic,-50.978,-49.098,-6
skresnet34,28.645,71.355,47.953,52.047,22.28,224,0.875,bicubic,-48.267,-45.369,+105
hrnet_w40,28.641,71.359,47.454,52.546,57.56,224,0.875,bilinear,-50.279,-47.016,+25
tf_efficientnetv2_b0,28.566,71.434,47.079,52.921,7.14,224,0.875,bicubic,-49.790,-46.945,+51
tv_resnet152,28.533,71.467,47.118,52.882,60.19,224,0.875,bilinear,-49.779,-46.920,+51
repvgg_b2,28.427,71.573,47.038,52.962,89.02,224,0.875,bilinear,-50.365,-47.376,+28
hrnet_w48,28.413,71.587,47.586,52.414,77.47,224,0.875,bilinear,-50.887,-46.926,+3
gluon_resnext50_32x4d,28.375,71.624,45.328,54.672,25.03,224,0.875,bicubic,-50.978,-49.098,-4
efficientnet_b2_pruned,28.362,71.638,47.051,52.949,8.31,260,0.890,bicubic,-51.554,-47.805,-35
tf_efficientnet_b0_ap,28.346,71.654,47.531,52.469,5.29,224,0.875,bicubic,-48.740,-45.725,+87
tf_efficientnet_cc_b0_4e,28.315,71.685,47.364,52.636,13.31,224,0.875,bicubic,-48.991,-45.970,+79
dla169,28.313,71.687,47.391,52.609,53.39,224,0.875,bilinear,-50.375,-46.945,+22
dla102x2,28.313,71.687,46.761,53.239,41.28,224,0.875,bilinear,-51.135,-47.879,-12
tf_efficientnet_b0_ap,28.346,71.654,47.531,52.469,5.29,224,0.875,bicubic,-48.740,-45.725,+91
tf_efficientnet_cc_b0_4e,28.315,71.685,47.364,52.636,13.31,224,0.875,bicubic,-48.991,-45.970,+83
dla102x2,28.313,71.687,46.761,53.239,41.28,224,0.875,bilinear,-51.135,-47.879,-11
dla169,28.313,71.687,47.391,52.609,53.39,224,0.875,bilinear,-50.375,-46.945,+24
mixnet_xl,28.287,71.713,46.702,53.298,11.90,224,0.875,bicubic,-52.189,-48.234,-68
gluon_resnet50_v1d,28.246,71.754,45.878,54.122,25.58,224,0.875,bicubic,-50.828,-48.592,+6
wide_resnet101_2,28.108,71.892,46.401,53.599,126.89,224,0.875,bilinear,-50.748,-47.881,+12
gluon_resnet101_v1c,28.104,71.896,45.961,54.039,44.57,224,0.875,bicubic,-51.430,-48.617,-21
regnetx_320,28.093,71.907,45.126,54.874,107.81,224,0.875,bicubic,-52.153,-49.900,-58
densenet161,28.081,71.919,46.641,53.359,28.68,224,0.875,bicubic,-49.277,-46.997,+70
regnety_320,28.059,71.941,45.444,54.556,145.05,224,0.875,bicubic,-52.753,-49.800,-82
gernet_s,28.022,71.978,46.723,53.277,8.17,224,0.875,bilinear,-48.894,-46.409,+81
efficientnet_el_pruned,28.016,71.984,46.790,53.210,10.59,300,0.904,bicubic,-52.284,-48.428,-66
gluon_resnet50_v1d,28.246,71.754,45.878,54.122,25.58,224,0.875,bicubic,-50.828,-48.592,+8
wide_resnet101_2,28.108,71.892,46.401,53.599,126.89,224,0.875,bilinear,-50.748,-47.881,+14
gluon_resnet101_v1c,28.104,71.896,45.961,54.039,44.57,224,0.875,bicubic,-51.430,-48.617,-20
regnetx_320,28.093,71.907,45.126,54.874,107.81,224,0.875,bicubic,-52.153,-49.900,-57
densenet161,28.081,71.919,46.641,53.359,28.68,224,0.875,bicubic,-49.277,-46.997,+74
regnety_320,28.059,71.941,45.444,54.556,145.05,224,0.875,bicubic,-52.753,-49.800,-85
gernet_s,28.022,71.978,46.723,53.277,8.17,224,0.875,bilinear,-48.894,-46.409,+85
levit_192,28.016,71.984,45.880,54.120,10.95,224,0.900,bicubic,-51.826,-48.906,-41
xception41,27.888,72.112,45.890,54.110,26.97,299,0.903,bicubic,-50.628,-48.388,+15
regnetx_160,27.817,72.183,45.617,54.383,54.28,224,0.875,bicubic,-52.039,-49.213,-46
tf_inception_v3,27.780,72.220,45.721,54.279,23.83,299,0.875,bicubic,-50.078,-48.149,+46
res2net101_26w_4s,27.768,72.232,45.179,54.821,45.21,224,0.875,bilinear,-51.430,-49.253,-10
tf_efficientnetv2_b1,27.760,72.240,46.578,53.422,8.14,240,0.882,bicubic,-51.702,-48.144,-29
repvgg_b1,27.656,72.344,46.531,53.469,57.42,224,0.875,bilinear,-50.710,-47.567,+22
hrnet_w44,27.621,72.379,45.837,54.163,67.06,224,0.875,bilinear,-51.275,-48.531,-3
inception_v3,27.556,72.444,45.263,54.737,23.83,299,0.875,bicubic,-49.882,-48.213,+55
pit_xs_224,27.491,72.509,45.900,54.100,10.62,224,0.900,bicubic,-50.691,-48.268,+26
regnetx_080,27.405,72.595,45.002,54.998,39.57,224,0.875,bicubic,-51.789,-49.558,-15
hrnet_w30,27.381,72.619,46.554,53.446,37.71,224,0.875,bilinear,-50.825,-47.668,+23
hrnet_w32,27.369,72.631,45.994,54.006,41.23,224,0.875,bilinear,-51.081,-48.192,+10
gluon_resnet50_v1s,27.326,72.674,45.222,54.778,25.68,224,0.875,bicubic,-51.384,-49.016,-2
densenet201,27.265,72.735,46.222,53.778,20.01,224,0.875,bicubic,-50.021,-47.256,+54
densenetblur121d,27.228,72.772,46.299,53.701,8.00,224,0.875,bicubic,-49.360,-46.893,+73
efficientnet_el_pruned,28.016,71.984,46.790,53.210,10.59,300,0.904,bicubic,-52.284,-48.238,-64
xception41,27.888,72.112,45.890,54.110,26.97,299,0.903,bicubic,-50.628,-48.388,+17
regnetx_160,27.817,72.183,45.617,54.383,54.28,224,0.875,bicubic,-52.039,-49.213,-45
tf_inception_v3,27.780,72.220,45.721,54.279,23.83,299,0.875,bicubic,-50.082,-47.919,+51
res2net101_26w_4s,27.768,72.232,45.179,54.821,45.21,224,0.875,bilinear,-51.430,-49.253,-8
tf_efficientnetv2_b1,27.760,72.240,46.578,53.422,8.14,240,0.882,bicubic,-51.702,-48.144,-28
repvgg_b1,27.656,72.344,46.531,53.469,57.42,224,0.875,bilinear,-50.710,-47.567,+25
hrnet_w44,27.621,72.379,45.837,54.163,67.06,224,0.875,bilinear,-51.275,-48.531,-1
inception_v3,27.556,72.444,45.263,54.737,23.83,299,0.875,bicubic,-49.882,-48.211,+59
resmlp_24_224,27.521,72.479,45.696,54.304,30.02,224,0.875,bicubic,-51.853,-48.851,-30
pit_xs_224,27.491,72.509,45.900,54.100,10.62,224,0.900,bicubic,-50.691,-48.268,+28
regnetx_080,27.405,72.595,45.002,54.998,39.57,224,0.875,bicubic,-51.789,-49.558,-14
hrnet_w30,27.381,72.619,46.554,53.446,37.71,224,0.875,bilinear,-50.825,-47.668,+25
hrnet_w32,27.369,72.631,45.994,54.006,41.23,224,0.875,bilinear,-51.081,-48.192,+11
gluon_resnet50_v1s,27.326,72.674,45.222,54.778,25.68,224,0.875,bicubic,-51.386,-49.016,-1
densenet201,27.265,72.735,46.222,53.778,20.01,224,0.875,bicubic,-50.021,-47.256,+57
densenetblur121d,27.228,72.772,46.299,53.701,8.00,224,0.875,bicubic,-49.360,-46.893,+77
regnety_064,27.220,72.780,44.847,55.153,30.58,224,0.875,bicubic,-52.502,-49.921,-52
efficientnet_b1_pruned,27.181,72.819,45.872,54.128,6.33,240,0.882,bicubic,-51.055,-47.962,+16
efficientnet_b1_pruned,27.181,72.819,45.872,54.128,6.33,240,0.882,bicubic,-51.055,-47.962,+18
tf_efficientnetv2_b2,27.163,72.837,44.570,55.430,10.10,260,0.890,bicubic,-53.045,-50.472,-78
resnetrs50,27.110,72.890,45.029,54.971,35.69,224,0.910,bicubic,-52.782,-49.939,-66
resnetrs50,27.110,72.890,45.029,54.971,35.69,224,0.910,bicubic,-52.782,-49.939,-67
rexnet_130,27.094,72.906,45.933,54.067,7.56,224,0.875,bicubic,-52.406,-48.749,-46
vit_small_patch16_224,27.086,72.914,45.701,54.299,48.75,224,0.900,bicubic,-50.772,-47.939,+29
res2net50_26w_8s,27.078,72.921,44.428,55.572,48.40,224,0.875,bilinear,-52.119,-49.940,-29
dla102x,27.061,72.939,45.475,54.525,26.31,224,0.875,bilinear,-51.449,-48.753,-6
tv_resnet101,26.963,73.037,45.234,54.766,44.55,224,0.875,bilinear,-50.411,-48.306,+41
res2net50_26w_8s,27.078,72.921,44.428,55.572,48.40,224,0.875,bilinear,-52.119,-49.940,-27
dla102x,27.061,72.939,45.475,54.525,26.31,224,0.875,bilinear,-51.449,-48.753,-4
gmixer_24_224,27.027,72.972,44.361,55.639,24.72,224,0.875,bicubic,-51.008,-49.303,+20
tv_resnet101,26.963,73.037,45.234,54.766,44.55,224,0.875,bilinear,-50.411,-48.306,+44
resnext50d_32x4d,26.876,73.124,44.436,55.564,25.05,224,0.875,bicubic,-52.800,-50.430,-57
regnetx_120,26.868,73.132,44.682,55.318,46.11,224,0.875,bicubic,-52.728,-50.056,-56
rexnet_100,26.831,73.169,45.369,54.631,4.80,224,0.875,bicubic,-51.027,-48.047,+24
densenet169,26.829,73.171,45.373,54.627,14.15,224,0.875,bicubic,-49.077,-47.653,+70
rexnet_100,26.831,73.169,45.369,54.631,4.80,224,0.875,bicubic,-51.027,-48.501,+27
densenet169,26.829,73.171,45.373,54.627,14.15,224,0.875,bicubic,-49.077,-47.653,+76
legacy_seresnext101_32x4d,26.811,73.189,43.497,56.503,48.96,224,0.875,bilinear,-53.417,-51.521,-91
regnety_120,26.788,73.212,44.454,55.546,51.82,224,0.875,bicubic,-53.578,-50.672,-102
regnetx_064,26.784,73.216,44.927,55.073,26.21,224,0.875,bicubic,-52.288,-49.531,-32
regnetx_032,26.703,73.297,45.236,54.764,15.30,224,0.875,bicubic,-51.469,-48.852,+4
legacy_seresnet152,26.676,73.324,43.947,56.053,66.82,224,0.875,bilinear,-51.984,-50.423,-20
densenet121,26.664,73.336,45.900,54.100,7.98,224,0.875,bicubic,-48.914,-46.752,+68
efficientnet_es,26.621,73.379,45.112,54.888,5.44,224,0.875,bicubic,-51.445,-48.814,+5
res2net50_26w_6s,26.595,73.405,43.990,56.010,37.05,224,0.875,bilinear,-51.975,-50.134,-21
repvgg_b1g4,26.579,73.421,45.084,54.916,39.97,224,0.875,bilinear,-51.015,-48.742,+20
dla60x,26.552,73.448,45.023,54.977,17.35,224,0.875,bilinear,-51.694,-48.995,-7
regnety_080,26.524,73.476,44.359,55.641,39.18,224,0.875,bicubic,-53.352,-50.471,-85
coat_lite_tiny,26.507,73.493,44.644,55.356,5.72,224,0.900,bicubic,-51.005,-49.272,+21
tf_efficientnet_b0,26.485,73.515,45.646,54.354,5.29,224,0.875,bicubic,-50.363,-47.582,+40
res2net50_14w_8s,26.483,73.517,44.371,55.629,25.06,224,0.875,bilinear,-51.667,-49.477,-5
mobilenetv3_large_100_miil,26.481,73.519,44.473,55.527,5.48,224,0.875,bilinear,-51.435,-48.437,+3
gluon_resnet50_v1b,26.436,73.564,44.035,55.965,25.56,224,0.875,bicubic,-51.144,-49.681,+15
regnety_120,26.788,73.212,44.454,55.546,51.82,224,0.875,bicubic,-53.578,-50.672,-103
regnetx_064,26.784,73.216,44.927,55.073,26.21,224,0.875,bicubic,-52.288,-49.531,-31
regnetx_032,26.703,73.297,45.236,54.764,15.30,224,0.875,bicubic,-51.469,-48.852,+6
legacy_seresnet152,26.676,73.324,43.947,56.053,66.82,224,0.875,bilinear,-51.984,-50.423,-19
densenet121,26.664,73.336,45.900,54.100,7.98,224,0.875,bicubic,-48.914,-46.752,+74
efficientnet_es,26.621,73.379,45.112,54.888,5.44,224,0.875,bicubic,-51.445,-48.814,+7
res2net50_26w_6s,26.595,73.405,43.990,56.010,37.05,224,0.875,bilinear,-51.975,-50.134,-20
repvgg_b1g4,26.579,73.421,45.084,54.916,39.97,224,0.875,bilinear,-51.015,-48.742,+23
dla60x,26.552,73.448,45.023,54.977,17.35,224,0.875,bilinear,-51.694,-48.995,-5
regnety_080,26.524,73.476,44.359,55.641,39.18,224,0.875,bicubic,-53.352,-50.471,-86
coat_lite_tiny,26.507,73.493,44.644,55.356,5.72,224,0.900,bicubic,-51.005,-49.272,+24
tf_efficientnet_b0,26.485,73.515,45.646,54.354,5.29,224,0.875,bicubic,-50.363,-47.582,+43
res2net50_14w_8s,26.483,73.517,44.371,55.629,25.06,224,0.875,bilinear,-51.667,-49.477,-3
mobilenetv3_large_100_miil,26.481,73.519,44.473,55.527,5.48,224,0.875,bilinear,-51.435,-48.437,+7
gluon_resnet50_v1b,26.436,73.564,44.035,55.965,25.56,224,0.875,bicubic,-51.144,-49.681,+18
tf_efficientnet_el,26.357,73.643,44.175,55.825,10.59,300,0.904,bicubic,-53.893,-50.953,-109
levit_128,26.332,73.668,44.096,55.904,9.21,224,0.900,bicubic,-52.154,-49.914,-28
regnetx_040,26.243,73.757,44.438,55.562,22.12,224,0.875,bicubic,-52.239,-49.806,-28
dpn68,26.129,73.871,44.228,55.772,12.61,224,0.875,bicubic,-50.189,-48.750,+45
efficientnet_b1,26.061,73.939,44.080,55.920,7.79,256,1.000,bicubic,-52.733,-50.262,-41
levit_128,26.332,73.668,44.096,55.904,9.21,224,0.900,bicubic,-52.154,-49.914,-27
resmlp_big_24_224,26.318,73.682,43.556,56.444,129.14,224,0.875,bicubic,-54.710,-51.466,-146
resmlp_12_distilled_224,26.314,73.686,44.874,55.126,15.35,224,0.875,bicubic,-51.630,-48.684,+1
regnetx_040,26.243,73.757,44.438,55.562,22.12,224,0.875,bicubic,-52.239,-49.806,-29
vit_small_patch32_224,26.151,73.849,45.104,54.896,22.88,224,0.900,bicubic,-49.839,-48.168,+51
dpn68,26.129,73.871,44.228,55.772,12.61,224,0.875,bicubic,-50.189,-48.750,+46
efficientnet_b1,26.061,73.939,44.080,55.920,7.79,256,1.000,bicubic,-52.733,-50.262,-43
hrnet_w18,25.986,74.014,44.813,55.187,21.30,224,0.875,bilinear,-50.772,-48.631,+33
hardcorenas_f,25.951,74.049,44.220,55.780,8.20,224,0.875,bilinear,-52.153,-49.582,-12
regnety_040,25.923,74.077,43.848,56.152,20.65,224,0.875,bicubic,-53.297,-50.808,-61
resnet34,25.888,74.112,43.982,56.018,21.80,224,0.875,bilinear,-49.222,-48.302,+59
hardcorenas_f,25.951,74.049,44.220,55.780,8.20,224,0.875,bilinear,-52.153,-49.582,-13
regnety_040,25.923,74.077,43.848,56.152,20.65,224,0.875,bicubic,-53.297,-50.808,-63
resnet34,25.888,74.112,43.982,56.018,21.80,224,0.875,bilinear,-49.222,-48.302,+63
res2net50_26w_4s,25.866,74.134,43.155,56.845,25.70,224,0.875,bilinear,-52.098,-50.699,-9
tresnet_m_448,25.852,74.148,42.874,57.126,31.39,448,0.875,bilinear,-55.862,-52.698,-175
coat_tiny,25.843,74.157,43.276,56.724,5.50,224,0.900,bicubic,-52.591,-50.761,-32
tresnet_m_448,25.852,74.148,42.874,57.126,31.39,448,0.875,bilinear,-55.862,-52.698,-184
coat_tiny,25.843,74.157,43.276,56.724,5.50,224,0.900,bicubic,-52.591,-50.761,-34
hardcorenas_c,25.815,74.185,44.772,55.228,5.52,224,0.875,bilinear,-51.239,-48.386,+18
gluon_resnet50_v1c,25.784,74.216,43.031,56.969,25.58,224,0.875,bicubic,-52.228,-50.957,-16
selecsls60,25.729,74.272,44.065,55.935,30.67,224,0.875,bicubic,-52.254,-49.764,-15
hardcorenas_e,25.662,74.338,43.412,56.588,8.07,224,0.875,bilinear,-52.132,-50.282,-8
dla60_res2net,25.652,74.348,43.599,56.401,20.85,224,0.875,bilinear,-52.812,-50.607,-40
dla60_res2next,25.640,74.360,43.670,56.330,17.03,224,0.875,bilinear,-52.800,-50.482,-39
ecaresnet26t,25.538,74.462,43.660,56.340,16.01,320,0.950,bicubic,-54.316,-51.424,-105
mixnet_l,25.512,74.488,43.455,56.545,7.33,224,0.875,bicubic,-53.464,-50.727,-62
dla60_res2net,25.652,74.348,43.599,56.401,20.85,224,0.875,bilinear,-52.812,-50.607,-42
dla60_res2next,25.640,74.360,43.670,56.330,17.03,224,0.875,bilinear,-52.800,-50.482,-41
ecaresnet26t,25.538,74.462,43.660,56.340,16.01,320,0.950,bicubic,-54.316,-51.424,-109
resmlp_12_224,25.518,74.482,44.324,55.676,15.35,224,0.875,bicubic,-51.136,-48.856,+21
mixnet_l,25.512,74.488,43.455,56.545,7.33,224,0.875,bicubic,-53.464,-50.727,-65
tf_efficientnet_lite1,25.499,74.501,43.585,56.415,5.42,240,0.882,bicubic,-51.143,-49.641,+20
tv_resnext50_32x4d,25.455,74.545,42.787,57.213,25.03,224,0.875,bilinear,-52.165,-50.909,-11
tv_resnext50_32x4d,25.455,74.545,42.787,57.213,25.03,224,0.875,bilinear,-52.165,-50.909,-12
repvgg_a2,25.436,74.564,43.939,56.061,28.21,224,0.875,bilinear,-51.024,-49.065,+25
tf_mixnet_l,25.422,74.578,42.534,57.466,7.33,224,0.875,bicubic,-53.352,-51.464,-58
tf_mixnet_l,25.422,74.578,42.534,57.466,7.33,224,0.875,bicubic,-53.352,-51.464,-61
hardcorenas_b,25.402,74.598,44.190,55.810,5.18,224,0.875,bilinear,-51.136,-48.564,+20
res2next50,25.389,74.611,42.508,57.492,24.67,224,0.875,bilinear,-52.857,-51.384,-38
legacy_seresnet101,25.334,74.666,42.825,57.175,49.33,224,0.875,bilinear,-53.048,-51.439,-44
selecsls60b,25.332,74.668,43.559,56.441,32.77,224,0.875,bicubic,-53.080,-50.615,-47
dla102,25.316,74.684,43.827,56.173,33.27,224,0.875,bilinear,-52.716,-50.119,-32
hardcorenas_d,25.300,74.700,43.121,56.879,7.50,224,0.875,bilinear,-52.132,-50.363,-10
resnest14d,25.284,74.716,44.114,55.886,10.61,224,0.875,bilinear,-50.222,-48.404,+29
legacy_seresnext50_32x4d,25.210,74.790,41.936,58.064,27.56,224,0.875,bilinear,-53.868,-52.500,-79
mixer_b16_224,25.121,74.879,41.227,58.773,59.88,224,0.875,bicubic,-51.481,-51.001,+9
res2net50_48w_2s,25.027,74.973,42.208,57.792,25.29,224,0.875,bilinear,-52.495,-51.346,-18
efficientnet_b0,25.015,74.985,42.787,57.213,5.29,224,0.875,bicubic,-52.683,-50.745,-26
gluon_resnet34_v1b,24.939,75.061,42.243,57.757,21.80,224,0.875,bicubic,-49.649,-49.747,+41
mobilenetv2_120d,24.937,75.063,43.058,56.942,5.83,224,0.875,bicubic,-52.347,-50.434,-12
dla60,24.933,75.067,43.296,56.704,22.04,224,0.875,bilinear,-52.099,-50.022,-6
regnety_016,24.811,75.189,42.616,57.384,11.20,224,0.875,bicubic,-53.051,-51.104,-35
tf_efficientnet_lite2,24.530,75.470,42.280,57.720,6.09,260,0.890,bicubic,-52.938,-51.474,-22
skresnet18,24.483,75.517,42.536,57.464,11.96,224,0.875,bicubic,-48.555,-48.632,+49
regnetx_016,24.473,75.527,42.514,57.486,9.19,224,0.875,bicubic,-52.477,-50.906,-9
pit_ti_distilled_224,24.406,75.594,42.730,57.270,5.10,224,0.900,bicubic,-50.124,-49.366,+35
tf_efficientnet_lite0,24.373,75.627,42.487,57.513,4.65,224,0.875,bicubic,-50.457,-49.689,+28
hardcorenas_a,24.369,75.631,43.284,56.716,5.26,224,0.875,bilinear,-51.547,-49.230,+8
resnetv2_50x1_bitm,24.233,75.767,43.477,56.523,25.55,480,1.000,bilinear,-55.939,-52.149,-149
res2next50,25.389,74.611,42.508,57.492,24.67,224,0.875,bilinear,-52.857,-51.384,-40
legacy_seresnet101,25.334,74.666,42.825,57.175,49.33,224,0.875,bilinear,-53.048,-51.439,-46
selecsls60b,25.332,74.668,43.559,56.441,32.77,224,0.875,bicubic,-53.080,-50.615,-49
resnetv2_50x1_bitm,25.324,74.676,45.359,54.641,25.55,448,1.000,bilinear,-55.018,-50.325,-149
dla102,25.316,74.684,43.827,56.173,33.27,224,0.875,bilinear,-52.716,-50.119,-34
hardcorenas_d,25.300,74.700,43.121,56.879,7.50,224,0.875,bilinear,-52.132,-50.363,-12
resnest14d,25.284,74.716,44.114,55.886,10.61,224,0.875,bilinear,-50.222,-48.404,+30
legacy_seresnext50_32x4d,25.210,74.790,41.936,58.064,27.56,224,0.875,bilinear,-53.868,-52.500,-83
mixer_b16_224,25.121,74.879,41.227,58.773,59.88,224,0.875,bicubic,-51.481,-51.001,+8
res2net50_48w_2s,25.027,74.973,42.208,57.792,25.29,224,0.875,bilinear,-52.495,-51.346,-20
efficientnet_b0,25.015,74.985,42.787,57.213,5.29,224,0.875,bicubic,-52.683,-50.745,-28
gluon_resnet34_v1b,24.939,75.061,42.243,57.757,21.80,224,0.875,bicubic,-49.649,-49.747,+43
mobilenetv2_120d,24.937,75.063,43.058,56.942,5.83,224,0.875,bicubic,-52.347,-50.434,-14
dla60,24.933,75.067,43.296,56.704,22.04,224,0.875,bilinear,-52.099,-50.022,-8
regnety_016,24.811,75.189,42.616,57.384,11.20,224,0.875,bicubic,-53.051,-51.104,-36
tf_efficientnet_lite2,24.530,75.470,42.280,57.720,6.09,260,0.890,bicubic,-52.938,-51.474,-24
skresnet18,24.483,75.517,42.536,57.464,11.96,224,0.875,bicubic,-48.555,-48.632,+51
regnetx_016,24.473,75.527,42.514,57.486,9.19,224,0.875,bicubic,-52.477,-50.906,-11
pit_ti_distilled_224,24.406,75.594,42.730,57.270,5.10,224,0.900,bicubic,-50.124,-49.366,+37
tf_efficientnet_lite0,24.373,75.627,42.487,57.513,4.65,224,0.875,bicubic,-50.457,-49.689,+30
hardcorenas_a,24.369,75.631,43.284,56.716,5.26,224,0.875,bilinear,-51.547,-49.230,+9
tv_resnet50,24.070,75.930,41.313,58.687,25.56,224,0.875,bilinear,-52.068,-51.551,+4
levit_128s,24.058,75.942,41.007,58.993,7.78,224,0.900,bicubic,-52.472,-51.859,-2
legacy_seresnet34,24.027,75.973,41.909,58.091,21.96,224,0.875,bilinear,-50.781,-50.215,+24
resnet18d,23.929,76.071,42.300,57.700,11.71,224,0.875,bicubic,-48.331,-48.396,+47
efficientnet_lite0,23.909,76.091,42.088,57.912,4.65,224,0.875,bicubic,-51.575,-50.422,+10
tv_densenet121,23.844,76.156,41.925,58.075,7.98,224,0.875,bicubic,-50.894,-50.225,+22
efficientnet_es_pruned,23.828,76.172,41.995,58.005,5.44,224,0.875,bicubic,-51.172,-50.453,+18
legacy_seresnet34,24.027,75.973,41.909,58.091,21.96,224,0.875,bilinear,-50.781,-50.215,+27
resnet18d,23.929,76.071,42.300,57.700,11.71,224,0.875,bicubic,-48.331,-48.396,+50
efficientnet_lite0,23.909,76.091,42.088,57.912,4.65,224,0.875,bicubic,-51.575,-50.422,+12
tv_densenet121,23.844,76.156,41.925,58.075,7.98,224,0.875,bicubic,-50.894,-50.225,+25
efficientnet_es_pruned,23.828,76.172,41.995,58.005,5.44,224,0.875,bicubic,-51.172,-50.453,+21
mobilenetv2_140,23.712,76.288,41.477,58.523,6.11,224,0.875,bicubic,-52.804,-51.519,-7
mixnet_m,23.710,76.290,41.141,58.859,5.01,224,0.875,bicubic,-53.550,-52.284,-29
dla34,23.669,76.331,41.551,58.449,15.74,224,0.875,bilinear,-50.961,-50.527,+20
legacy_seresnet50,23.651,76.349,40.091,59.909,28.09,224,0.875,bilinear,-53.978,-53.657,-47
ese_vovnet19b_dw,23.535,76.465,41.288,58.712,6.54,224,0.875,bicubic,-53.263,-51.980,-20
tf_mixnet_m,23.484,76.516,40.989,59.011,5.01,224,0.875,bicubic,-53.458,-52.163,-25
tv_resnet34,23.473,76.527,41.367,58.633,21.80,224,0.875,bilinear,-49.839,-50.059,+27
tf_efficientnet_em,23.359,76.641,40.404,59.596,6.90,240,0.882,bicubic,-54.771,-53.640,-67
selecsls42b,23.357,76.643,40.677,59.323,32.46,224,0.875,bicubic,-53.817,-52.713,-35
repvgg_b0,23.316,76.684,41.182,58.818,15.82,224,0.875,bilinear,-51.837,-51.236,+2
mobilenetv2_110d,23.066,76.934,40.716,59.284,4.52,224,0.875,bicubic,-51.970,-51.470,+6
vit_deit_tiny_distilled_patch16_224,22.718,77.282,40.771,59.229,5.91,224,0.900,bicubic,-51.792,-51.119,+14
mobilenetv3_large_100,22.655,77.345,40.781,59.219,5.48,224,0.875,bicubic,-53.111,-51.761,-11
mobilenetv3_rw,22.630,77.370,40.374,59.626,5.48,224,0.875,bicubic,-53.004,-52.334,-10
tf_mobilenetv3_large_100,22.569,77.431,39.767,60.233,5.48,224,0.875,bilinear,-52.949,-52.839,-9
mixnet_m,23.710,76.290,41.141,58.859,5.01,224,0.875,bicubic,-53.550,-52.284,-30
dla34,23.669,76.331,41.551,58.449,15.74,224,0.875,bilinear,-50.961,-50.527,+23
legacy_seresnet50,23.651,76.349,40.091,59.909,28.09,224,0.875,bilinear,-53.978,-53.657,-48
ese_vovnet19b_dw,23.535,76.465,41.288,58.712,6.54,224,0.875,bicubic,-53.263,-51.980,-21
tf_mixnet_m,23.484,76.516,40.989,59.011,5.01,224,0.875,bicubic,-53.458,-52.163,-26
tv_resnet34,23.473,76.527,41.367,58.633,21.80,224,0.875,bilinear,-49.839,-50.059,+30
tf_efficientnet_em,23.359,76.641,40.404,59.596,6.90,240,0.882,bicubic,-54.771,-53.640,-69
selecsls42b,23.357,76.643,40.677,59.323,32.46,224,0.875,bicubic,-53.817,-52.713,-36
repvgg_b0,23.316,76.684,41.182,58.818,15.82,224,0.875,bilinear,-51.837,-51.236,+5
mobilenetv2_110d,23.066,76.934,40.716,59.284,4.52,224,0.875,bicubic,-51.970,-51.470,+9
deit_tiny_distilled_patch16_224,22.718,77.282,40.771,59.229,5.91,224,0.900,bicubic,-51.792,-51.119,+17
mobilenetv3_large_100,22.655,77.345,40.781,59.219,5.48,224,0.875,bicubic,-53.111,-51.761,-9
mobilenetv3_rw,22.630,77.370,40.374,59.626,5.48,224,0.875,bicubic,-53.004,-52.334,-8
tf_mobilenetv3_large_100,22.569,77.431,39.767,60.233,5.48,224,0.875,bilinear,-52.949,-52.839,-7
tf_efficientnet_es,22.413,77.587,39.095,60.905,5.44,224,0.875,bicubic,-54.180,-54.107,-26
hrnet_w18_small_v2,22.337,77.663,39.861,60.139,15.60,224,0.875,bilinear,-52.777,-52.555,-3
convit_tiny,22.282,77.718,39.669,60.331,5.71,224,0.875,bicubic,-50.834,-52.045,+18
hrnet_w18_small_v2,22.337,77.663,39.861,60.139,15.60,224,0.875,bilinear,-52.777,-52.555,0
convit_tiny,22.282,77.718,39.669,60.331,5.71,224,0.875,bicubic,-50.834,-52.045,+21
regnety_008,22.119,77.881,38.900,61.100,6.26,224,0.875,bicubic,-54.197,-54.166,-22
seresnext26t_32x4d,21.991,78.009,38.482,61.518,16.81,224,0.875,bicubic,-55.995,-55.264,-74
regnety_006,21.971,78.029,38.955,61.045,6.06,224,0.875,bicubic,-53.275,-53.577,-10
regnetx_008,21.940,78.060,38.928,61.072,7.26,224,0.875,bicubic,-53.098,-53.408,-6
resnet26d,21.907,78.094,38.619,61.381,16.01,224,0.875,bicubic,-54.789,-54.531,-36
semnasnet_100,21.903,78.097,38.600,61.400,3.89,224,0.875,bicubic,-53.545,-54.004,-15
pit_ti_224,21.875,78.125,39.541,60.459,4.85,224,0.900,bicubic,-51.037,-51.861,+14
regnetx_006,21.738,78.263,38.904,61.096,6.20,224,0.875,bicubic,-52.115,-52.768,+5
vgg19_bn,21.628,78.373,39.283,60.717,143.68,224,0.875,bilinear,-52.587,-52.559,0
ghostnet_100,21.620,78.380,38.692,61.308,5.18,224,0.875,bilinear,-52.358,-52.764,+2
gluon_resnet18_v1b,21.549,78.451,38.869,61.131,11.69,224,0.875,bicubic,-49.287,-50.893,+22
fbnetc_100,21.484,78.516,38.161,61.839,5.57,224,0.875,bilinear,-53.640,-54.224,-17
mnasnet_100,21.350,78.650,37.719,62.281,4.38,224,0.875,bicubic,-53.308,-54.395,-9
resnet26,21.295,78.705,38.018,61.982,16.00,224,0.875,bicubic,-53.997,-54.552,-22
ssl_resnet18,21.278,78.722,39.113,60.887,11.69,224,0.875,bilinear,-51.332,-52.303,+7
mixnet_s,21.254,78.746,38.187,61.813,4.13,224,0.875,bicubic,-54.738,-54.609,-35
seresnext26d_32x4d,21.252,78.748,37.311,62.689,16.81,224,0.875,bicubic,-56.350,-56.297,-76
legacy_seresnext26_32x4d,21.093,78.907,37.633,62.367,16.79,224,0.875,bicubic,-56.011,-55.683,-60
regnetx_004,20.898,79.102,37.566,62.434,5.16,224,0.875,bicubic,-51.498,-53.264,+4
spnasnet_100,20.863,79.137,37.896,62.104,4.42,224,0.875,bilinear,-53.221,-53.922,-10
legacy_seresnet18,20.837,79.162,37.619,62.381,11.78,224,0.875,bicubic,-50.905,-52.715,+9
mobilenetv2_100,20.773,79.227,37.759,62.241,3.50,224,0.875,bicubic,-52.197,-53.257,-2
seresnext26t_32x4d,21.991,78.009,38.482,61.518,16.81,224,0.875,bicubic,-55.995,-55.264,-75
regnety_006,21.971,78.029,38.955,61.045,6.06,224,0.875,bicubic,-53.275,-53.577,-7
vit_tiny_r_s16_p8_384,21.954,78.046,39.405,60.595,6.36,384,1.000,bicubic,-53.998,-53.855,-21
regnetx_008,21.940,78.060,38.928,61.072,7.26,224,0.875,bicubic,-53.098,-53.408,-4
resnet26d,21.907,78.094,38.619,61.381,16.01,224,0.875,bicubic,-54.789,-54.531,-38
semnasnet_100,21.903,78.097,38.600,61.400,3.89,224,0.875,bicubic,-53.545,-54.004,-13
pit_ti_224,21.875,78.125,39.541,60.459,4.85,224,0.900,bicubic,-51.037,-51.861,+16
regnetx_006,21.738,78.263,38.904,61.096,6.20,224,0.875,bicubic,-52.115,-52.768,+7
vit_tiny_patch16_384,21.708,78.292,39.329,60.671,5.79,384,1.000,bicubic,-56.722,-55.213,-103
vgg19_bn,21.628,78.373,39.283,60.717,143.68,224,0.875,bilinear,-52.587,-52.559,+1
ghostnet_100,21.620,78.380,38.692,61.308,5.18,224,0.875,bilinear,-52.358,-52.764,+3
gluon_resnet18_v1b,21.549,78.451,38.869,61.131,11.69,224,0.875,bicubic,-49.287,-50.893,+24
fbnetc_100,21.484,78.516,38.161,61.839,5.57,224,0.875,bilinear,-53.640,-54.224,-16
mnasnet_100,21.350,78.650,37.719,62.281,4.38,224,0.875,bicubic,-53.308,-54.395,-8
resnet26,21.295,78.705,38.018,61.982,16.00,224,0.875,bicubic,-53.997,-54.552,-21
ssl_resnet18,21.278,78.722,39.113,60.887,11.69,224,0.875,bilinear,-51.332,-52.303,+8
mixnet_s,21.254,78.746,38.187,61.813,4.13,224,0.875,bicubic,-54.738,-54.609,-37
seresnext26d_32x4d,21.252,78.748,37.311,62.689,16.81,224,0.875,bicubic,-56.350,-56.297,-79
legacy_seresnext26_32x4d,21.093,78.907,37.633,62.367,16.79,224,0.875,bicubic,-56.011,-55.683,-63
regnetx_004,20.898,79.102,37.566,62.434,5.16,224,0.875,bicubic,-51.498,-53.264,+5
spnasnet_100,20.863,79.137,37.896,62.104,4.42,224,0.875,bilinear,-53.221,-53.922,-9
legacy_seresnet18,20.837,79.162,37.619,62.381,11.78,224,0.875,bicubic,-50.905,-52.715,+11
mobilenetv2_100,20.773,79.227,37.759,62.241,3.50,224,0.875,bicubic,-52.197,-53.257,-1
tf_mixnet_s,20.470,79.530,36.607,63.393,4.13,224,0.875,bicubic,-55.180,-56.021,-38
vit_tiny_patch16_224,20.458,79.542,37.597,62.403,5.72,224,0.900,bicubic,-54.996,-55.251,-33
regnety_004,20.415,79.585,37.002,62.998,4.34,224,0.875,bicubic,-53.619,-54.750,-13
hrnet_w18_small,20.368,79.632,37.093,62.907,13.19,224,0.875,bilinear,-51.976,-53.585,0
hrnet_w18_small,20.368,79.632,37.093,62.907,13.19,224,0.875,bilinear,-51.974,-53.585,0
tf_mobilenetv3_large_075,20.366,79.634,36.764,63.236,3.99,224,0.875,bilinear,-53.072,-54.586,-12
resnet18,20.228,79.772,37.261,62.739,11.69,224,0.875,bilinear,-49.520,-51.817,+10
resnet18,20.228,79.772,37.261,62.739,11.69,224,0.875,bilinear,-49.520,-51.817,+11
mixer_l16_224,20.171,79.829,32.956,67.044,208.20,224,0.875,bicubic,-51.887,-54.712,+1
vit_deit_tiny_patch16_224,20.162,79.838,37.546,62.454,5.72,224,0.900,bicubic,-52.007,-53.572,-1
deit_tiny_patch16_224,20.162,79.838,37.546,62.454,5.72,224,0.900,bicubic,-52.007,-53.572,-1
tf_mobilenetv3_large_minimal_100,20.122,79.878,36.908,63.092,3.92,224,0.875,bilinear,-52.126,-53.722,-3
vgg16_bn,19.959,80.041,36.301,63.699,138.37,224,0.875,bilinear,-53.391,-55.205,-16
vgg19,17.929,82.071,33.054,66.946,143.67,224,0.875,bilinear,-54.439,-57.818,-8
vit_tiny_r_s16_p8_224,19.334,80.666,36.047,63.953,6.34,224,0.900,bicubic,-52.454,-54.781,-2
vgg19,17.929,82.071,33.054,66.946,143.67,224,0.875,bilinear,-54.439,-57.818,-9
vgg13_bn,17.802,82.198,34.039,65.961,133.05,224,0.875,bilinear,-53.792,-56.337,-2
vgg16,17.540,82.460,32.773,67.227,138.36,224,0.875,bilinear,-54.054,-57.609,-2
regnety_002,17.450,82.550,32.431,67.569,3.16,224,0.875,bicubic,-52.802,-57.109,0
@ -390,6 +416,6 @@ tf_mobilenetv3_small_100,16.227,83.772,31.223,68.777,2.54,224,0.875,bilinear,-51
vgg13,16.100,83.900,30.985,69.015,133.05,224,0.875,bilinear,-53.826,-58.261,-4
vgg11,15.728,84.272,30.453,69.547,132.86,224,0.875,bilinear,-53.296,-58.175,-3
tf_mobilenetv3_small_075,14.944,85.056,29.572,70.428,2.04,224,0.875,bilinear,-50.772,-56.558,+1
dla46_c,14.657,85.343,29.380,70.620,1.30,224,0.875,bilinear,-50.207,-56.912,+1
dla46_c,14.657,85.343,29.380,70.620,1.30,224,0.875,bilinear,-50.209,-56.912,+1
dla46x_c,14.382,85.618,29.191,70.809,1.07,224,0.875,bilinear,-51.588,-57.789,-2
tf_mobilenetv3_small_minimal_100,13.964,86.036,27.988,72.012,2.04,224,0.875,bilinear,-48.942,-56.242,0

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation top1_diff top5_diff rank_diff
2 ig_resnext101_32x48d 58.810 41.190 81.076 18.924 828.41 224 0.875 bilinear -26.618 -16.496 +18 +22
3 ig_resnext101_32x32d 58.386 41.614 80.381 19.619 468.53 224 0.875 bilinear -26.708 -17.057 +25 +28
4 ig_resnext101_32x16d 57.690 42.310 79.905 20.095 194.03 224 0.875 bilinear -26.480 -17.291 +47 +53
5 swsl_resnext101_32x16d 57.458 42.542 80.385 19.615 194.03 224 0.875 bilinear -25.888 -16.461 +66 +78
6 swsl_resnext101_32x8d 56.438 43.562 78.944 21.056 88.79 224 0.875 bilinear -27.846 -18.232 +41 +48
7 ig_resnext101_32x8d 54.918 45.082 77.534 22.466 88.79 224 0.875 bilinear -27.770 -19.102 +82 +94
8 swsl_resnext101_32x4d 53.603 46.397 76.347 23.653 44.18 224 0.875 bilinear -29.627 -20.413 +66 +77
9 tf_efficientnet_l2_ns_475 vit_large_patch16_384 51.494 52.754 48.506 47.246 73.928 74.696 26.072 25.304 480.31 304.72 475 384 0.936 1.000 bicubic -36.740 -34.326 -24.618 -23.604 -6 -4
10 swsl_resnext50_32x4d vit_large_r50_s32_384 50.437 52.039 49.563 47.961 73.368 73.558 26.633 26.442 25.03 329.09 224 384 0.875 1.000 bilinear bicubic -31.745 -34.145 -22.862 -24.360 +95 +2
11 swin_large_patch4_window12_384 vit_large_patch16_224 50.404 51.832 49.596 48.168 72.564 73.694 27.436 26.306 196.74 304.33 384 224 1.000 0.900 bicubic -36.744 -34.010 -25.670 -24.130 -7 +6
12 swsl_resnet50 tf_efficientnet_l2_ns_475 49.541 51.494 50.459 48.506 72.334 73.928 27.666 26.072 25.56 480.31 224 475 0.875 0.936 bilinear bicubic -31.625 -36.740 -23.638 -24.618 +125 -9
13 swin_large_patch4_window7_224 swsl_resnext50_32x4d 48.991 50.437 51.009 49.563 71.391 73.368 28.609 26.633 196.53 25.03 224 0.900 0.875 bicubic bilinear -37.329 -31.745 -26.505 -22.862 -4 +104
14 swin_base_patch4_window12_384 swin_large_patch4_window12_384 48.553 50.404 51.447 49.596 71.813 72.564 28.187 27.436 87.90 196.74 384 1.000 bicubic -37.879 -36.744 -26.245 -25.670 -6 -10
15 tf_efficientnet_b7_ns swsl_resnet50 47.800 49.541 52.200 50.459 69.640 72.334 30.360 27.666 66.35 25.56 600 224 0.949 0.875 bicubic bilinear -39.040 -31.625 -28.454 -23.638 -10 +134
16 tf_efficientnet_b6_ns swin_large_patch4_window7_224 47.761 48.991 52.239 51.009 69.968 71.391 30.032 28.609 43.04 196.53 528 224 0.942 0.900 bicubic -38.691 -37.329 -27.914 -26.505 -9 -6
17 tf_efficientnet_l2_ns swin_base_patch4_window12_384 47.570 48.553 52.430 51.447 70.019 71.813 29.981 28.187 480.31 87.90 800 384 0.960 1.000 bicubic -40.782 -37.879 -28.631 -26.245 -15 -8
18 tf_efficientnetv2_l_in21ft1k vit_large_r50_s32_224 46.939 48.203 53.061 51.797 70.310 70.868 29.690 29.132 118.52 328.99 480 224 1.000 0.900 bicubic -39.365 -36.231 -27.668 -26.296 -8 +32
19 tf_efficientnet_b8_ap tf_efficientnet_b7_ns 45.774 47.800 54.226 52.200 67.911 69.640 32.089 30.360 87.41 66.35 672 600 0.954 0.949 bicubic -39.596 -39.040 -29.383 -28.454 +4 -13
20 tf_efficientnet_b5_ns tf_efficientnet_b6_ns 45.615 47.761 54.385 52.239 67.842 69.968 32.158 30.032 30.39 43.04 456 528 0.934 0.942 bicubic -40.473 -38.691 -29.910 -27.914 -8 -12
21 tf_efficientnetv2_m_in21ft1k tf_efficientnet_l2_ns 45.582 47.570 54.418 52.430 69.150 70.019 30.849 29.981 54.14 480.31 480 800 1.000 0.960 bicubic -40.006 -40.782 -28.602 -28.631 -5 -19
22 swin_base_patch4_window7_224 tf_efficientnetv2_l_in21ft1k 45.560 46.939 54.440 53.061 68.512 70.310 31.488 29.690 87.77 118.52 224 480 0.900 1.000 bicubic -39.692 -39.365 -29.050 -27.668 +2 -11
23 cait_m48_448 vit_base_patch16_384 44.245 45.894 55.755 54.106 64.653 68.557 35.347 31.443 356.46 86.86 448 384 1.000 bicubic -42.239 -40.112 -33.102 -29.443 -17 -7
24 vit_base_r50_s16_384 tf_efficientnet_b8_ap 43.512 45.774 56.488 54.226 66.781 67.911 33.219 32.089 98.95 87.41 384 672 1.000 0.954 bicubic -41.460 -39.596 -30.507 -29.383 +10 +3
25 tf_efficientnet_b4_ns tf_efficientnet_b5_ns 43.450 45.615 56.550 54.385 65.519 67.842 34.481 32.158 19.34 30.39 380 456 0.922 0.934 bicubic -41.713 -40.473 -31.951 -29.910 0 -11
26 vit_large_patch16_384 tf_efficientnetv2_m_in21ft1k 43.300 45.582 56.700 54.418 66.454 69.150 33.546 30.849 304.72 54.14 384 480 1.000 bicubic -41.858 -40.006 -30.902 -28.602 0 -6
27 tf_efficientnet_b8 swin_base_patch4_window7_224 42.508 45.560 57.492 54.440 64.857 68.512 35.143 31.488 87.41 87.77 672 224 0.954 0.900 bicubic -42.862 -39.692 -32.533 -29.050 -5 +1
28 cait_m36_384 cait_m48_448 42.398 44.245 57.602 55.755 63.324 64.653 36.676 35.347 271.22 356.46 384 448 1.000 bicubic -43.656 -42.239 -34.406 -33.102 -15 -21
29 dm_nfnet_f6 vit_base_r50_s16_384 41.593 43.512 58.407 56.488 63.192 66.785 36.808 33.215 438.36 98.95 576 384 0.956 1.000 bicubic -44.704 -41.460 -34.552 -30.503 -18 +8
30 tf_efficientnet_b7 tf_efficientnet_b4_ns 41.431 43.450 58.569 56.550 63.017 65.519 36.983 34.481 66.35 19.34 600 380 0.949 0.922 bicubic -43.505 -41.713 -34.186 -31.951 +5 -1
31 tf_efficientnet_b7_ap vit_base_patch16_224 41.429 43.220 58.571 56.780 62.874 65.708 37.126 34.292 66.35 86.57 600 224 0.949 0.900 bicubic -43.691 -41.312 -34.378 -31.586 -4 +14
32 tf_efficientnet_b5_ap tf_efficientnet_b8 41.418 42.508 58.582 57.492 62.084 64.857 37.916 35.143 30.39 87.41 456 672 0.934 0.954 bicubic -42.834 -42.862 -34.890 -32.533 +17 -6
33 resnetv2_152x4_bitm cait_m36_384 41.241 42.398 58.759 57.602 64.238 63.324 35.762 36.676 936.53 271.22 480 384 1.000 bilinear bicubic -43.691 -43.656 -33.198 -34.406 +3 -18
34 tf_efficientnet_b6_ap tf_efficientnet_b7 41.099 41.431 58.901 58.569 62.355 63.017 37.645 36.983 43.04 66.35 528 600 0.942 0.949 bicubic -43.689 -43.505 -34.783 -34.186 +4
35 dm_nfnet_f5 tf_efficientnet_b7_ap 41.003 41.429 58.997 58.571 61.911 62.874 38.089 37.126 377.21 66.35 544 600 0.954 0.949 bicubic -44.711 -43.691 -35.531 -34.378 -21 -5
36 tf_efficientnetv2_s_in21ft1k tf_efficientnet_b5_ap 40.950 41.418 59.050 58.582 63.849 62.084 36.151 37.916 21.46 30.39 384 456 1.000 0.934 bicubic -43.352 -42.834 -33.403 -34.890 +10 +20
37 dm_nfnet_f3 resnetv2_152x4_bitm 40.920 41.302 59.080 58.698 61.949 64.307 38.051 35.693 254.92 936.53 416 480 0.940 1.000 bicubic bilinear -44.640 -43.614 -35.457 -33.135 -20 +2
38 vit_large_patch16_224 tf_efficientnet_b6_ap 40.732 41.099 59.268 58.901 63.593 62.355 36.407 37.645 304.33 43.04 224 528 0.900 0.942 bicubic -42.330 -43.689 -32.845 -34.783 +42 +3
39 tf_efficientnet_b4_ap tf_efficientnetv2_s_in21ft1k 40.484 40.950 59.516 59.050 61.723 63.849 38.277 36.151 19.34 21.46 380 384 0.922 1.000 bicubic -42.764 -43.352 -34.669 -33.403 +34 +14
40 vit_base_patch16_224_miil tf_efficientnet_b4_ap 40.168 40.484 59.832 59.516 60.887 61.723 39.113 38.277 86.54 19.34 224 380 0.875 0.922 bilinear bicubic -44.100 -42.764 -35.915 -34.669 +8 +44
41 tf_efficientnetv2_l vit_small_r26_s32_384 39.830 40.476 60.170 59.524 60.801 62.736 39.199 37.264 118.52 36.47 480 384 1.000 bicubic -45.660 -43.570 -36.571 -34.592 -23 +22
42 cait_s36_384 vit_base_patch16_224_miil 39.765 40.168 60.235 59.832 60.475 60.887 39.525 39.113 68.37 86.54 384 224 1.000 0.875 bicubic bilinear -45.695 -44.100 -37.005 -35.915 -23 +13
43 tf_efficientnetv2_l 39.830 60.170 60.801 39.199 118.52 480 1.000 bicubic -45.660 -36.571 -21
44 dm_nfnet_f3 39.818 60.182 60.610 39.390 254.92 416 0.940 bicubic -45.704 -36.852 -23
45 cait_s36_384 39.765 60.235 60.475 39.525 68.37 384 1.000 bicubic -45.695 -37.005 -22
46 efficientnetv2_rw_m 39.667 60.333 59.687 40.313 53.24 416 1.000 bicubic -45.141 -37.461 -6
47 ecaresnet269d 39.594 60.406 60.343 39.657 102.09 352 1.000 bicubic -45.382 -36.883 -11
48 tf_efficientnet_b3_ns 39.584 60.416 61.453 38.547 12.23 300 0.904 bicubic -44.464 -35.457 +11 +14
49 dm_nfnet_f4 dm_nfnet_f6 39.474 39.578 60.526 60.422 60.420 60.911 39.580 39.089 316.07 438.36 512 576 0.951 0.956 bicubic -46.184 -46.566 -37.090 -36.819 -31 -36
50 efficientnet_b4 dm_nfnet_f5 39.079 39.508 60.921 60.492 59.608 60.227 40.392 39.773 19.34 377.21 384 544 1.000 0.954 bicubic -44.349 -46.306 -36.988 -37.261 +22 -32
51 tf_efficientnet_b5 efficientnet_b4 38.356 39.079 61.644 60.921 59.913 59.608 40.087 40.392 30.39 19.34 456 384 0.934 1.000 bicubic -45.456 -44.349 -36.835 -36.988 +13 +28
52 vit_deit_base_distilled_patch16_384 resnetv2_152x2_bit_teacher_384 38.260 38.979 61.740 61.021 57.783 62.440 42.217 37.560 87.63 236.34 384 1.000 bicubic -47.162 -44.865 -39.549 -34.678 -28 +16
53 vit_base_patch16_384 vit_base_patch32_384 38.099 38.794 61.901 61.206 60.428 60.329 39.572 39.671 86.86 88.30 384 1.000 bicubic -46.111 -44.556 -36.790 -36.507 0 +29
54 cait_s24_384 eca_nfnet_l2 37.873 38.664 62.127 61.336 58.079 59.445 41.921 40.555 47.06 56.72 384 1.000 bicubic -47.173 -46.033 -39.267 -37.819 -22 -11
55 resnet152d tf_efficientnet_b5 37.857 38.356 62.143 61.644 58.356 59.913 41.644 40.087 60.21 30.39 320 456 1.000 0.934 bicubic -45.823 -45.456 -38.382 -36.835 +14 +15
56 tf_efficientnetv2_m deit_base_distilled_patch16_384 37.824 38.260 62.176 61.740 58.710 57.783 41.290 42.217 54.14 87.63 480 384 1.000 bicubic -47.220 -47.162 -38.568 -39.549 -23 -31
57 resnetrs420 dm_nfnet_f4 37.747 38.224 62.253 61.776 58.215 58.626 41.785 41.374 191.89 316.07 416 512 1.000 0.951 bicubic -47.261 -47.490 -38.909 -38.894 -23 -38
58 resnetrs350 resnetv2_152x2_bitm 37.676 37.985 62.324 62.015 58.083 61.135 41.917 38.865 163.96 236.34 384 448 1.000 bicubic bilinear -47.044 -46.525 -38.905 -36.297 -16 -11
59 pit_b_distilled_224 cait_s24_384 37.590 37.873 62.410 62.127 57.238 58.079 42.762 41.921 74.79 47.06 224 384 0.900 1.000 bicubic -46.554 -47.173 -39.618 -39.267 -4 -26
60 resnet152d 37.857 62.143 58.356 41.644 60.21 320 1.000 bicubic -45.823 -38.382 +15
61 tf_efficientnetv2_m 37.824 62.176 58.710 41.290 54.14 480 1.000 bicubic -47.220 -38.568 -27
62 resnetrs420 37.747 62.253 58.215 41.785 191.89 416 1.000 bicubic -47.261 -38.909 -27
63 resnetrs350 37.676 62.324 58.083 41.917 163.96 384 1.000 bicubic -47.044 -38.905 -21
64 pit_b_distilled_224 37.590 62.410 57.238 42.762 74.79 224 0.900 bicubic -46.554 -39.618 -6
65 resnet200d 37.505 62.495 58.297 41.703 64.69 320 1.000 bicubic -46.457 -38.526 +1
66 resnest269e resnetv2_152x2_bit_teacher 37.315 37.324 62.685 62.676 57.468 59.390 42.532 40.610 110.93 236.34 416 224 0.928 0.875 bicubic -47.203 -45.538 -39.518 -37.178 -17 +29
67 cait_s24_224 resnest269e 37.153 37.315 62.847 62.685 56.724 57.468 43.276 42.532 46.92 110.93 224 416 1.000 0.928 bicubic -46.299 -47.203 -39.840 -39.518 +9 -21
68 tf_efficientnet_b3_ap resmlp_big_24_224_in22ft1k 37.055 37.244 62.945 62.756 57.240 58.184 42.760 41.816 12.23 129.14 300 224 0.904 0.875 bicubic -44.767 -47.150 -38.384 -38.937 +53 -17
69 efficientnetv2_rw_s vit_small_r26_s32_224 37.049 37.234 62.951 62.766 56.814 59.060 43.186 40.940 23.94 36.43 384 224 1.000 0.900 bicubic -46.759 -44.624 -39.910 -36.962 +1 +55
70 resnetv2_152x2_bitm cait_s24_224 36.847 37.153 63.153 62.847 59.899 56.724 40.101 43.276 236.34 46.92 480 224 1.000 bilinear bicubic -47.593 -46.299 -37.547 -39.840 -20 +8
71 seresnet152d vit_base_patch32_224 36.790 37.077 63.210 62.923 56.718 59.294 43.282 40.706 66.84 88.22 320 224 1.000 0.900 bicubic -47.572 -43.647 -40.322 -36.274 -18 +96
72 resnetrs200 tf_efficientnet_b3_ap 36.639 37.055 63.361 62.945 56.828 57.240 43.172 42.760 93.21 12.23 320 300 1.000 0.904 bicubic -47.427 -44.767 -40.046 -38.384 -10 +54
73 efficientnet_b3 efficientnetv2_rw_s 36.420 37.049 63.580 62.951 56.845 56.814 43.155 43.186 12.23 23.94 320 384 1.000 bicubic -45.822 -46.759 -39.269 -39.910 +37 -2
74 cait_xs24_384 seresnet152d 36.416 36.790 63.584 63.210 56.944 56.718 43.056 43.282 26.67 66.84 384 320 1.000 bicubic -47.645 -47.572 -39.945 -40.322 -11 -22
75 vit_deit_base_distilled_patch16_224 resnetrs200 36.397 36.639 63.603 63.361 56.617 56.828 43.383 43.172 87.34 93.21 224 320 0.900 1.000 bicubic -46.991 -47.427 -39.871 -40.046 +3 -15
76 resnetrs270 efficientnet_b3 36.320 36.420 63.680 63.580 56.562 56.845 43.438 43.155 129.86 12.23 352 320 1.000 bicubic -48.114 -45.822 -40.408 -39.269 -25 +39
77 tresnet_m cait_xs24_384 36.285 36.416 63.715 63.584 55.796 56.944 44.204 43.056 31.39 26.67 224 384 0.875 1.000 bilinear bicubic -46.795 -47.645 -40.322 -39.945 +10 -16
78 mixer_b16_224_miil deit_base_distilled_patch16_224 36.269 36.397 63.731 63.603 55.965 56.617 44.035 43.383 59.88 87.34 224 0.875 0.900 bilinear bicubic -46.039 -46.991 -39.751 -39.871 +28 +2
79 dm_nfnet_f2 resnetv2_101x3_bitm 36.257 36.381 63.743 63.619 55.847 59.070 44.153 40.930 193.78 387.93 352 448 0.920 1.000 bicubic bilinear -48.733 -48.059 -41.297 -38.312 -39 -31
80 tf_efficientnet_b2_ns resnetrs270 36.183 36.320 63.817 63.680 57.551 56.562 42.449 43.438 9.11 129.86 260 352 0.890 1.000 bicubic -46.197 -48.114 -38.697 -40.408 +22 -31
81 tresnet_m 36.285 63.715 55.796 44.204 31.39 224 0.875 bilinear -46.795 -40.322 +9
82 mixer_b16_224_miil 36.269 63.731 55.965 44.035 59.88 224 0.875 bilinear -46.039 -39.751 +29
83 tf_efficientnet_b2_ns 36.183 63.817 57.551 42.449 9.11 260 0.890 bicubic -46.197 -38.697 +23
84 dm_nfnet_f2 36.004 63.996 55.456 44.544 193.78 352 0.920 bicubic -49.060 -41.784 -52
85 ecaresnet101d 36.004 63.996 56.165 43.835 44.57 224 0.875 bicubic -46.168 -39.881 +33
86 resnest200e 35.931 64.069 55.849 44.151 70.20 320 0.909 bicubic -47.901 -41.045 -14 -17
87 swsl_resnet18 35.858 64.142 58.455 41.545 11.69 224 0.875 bilinear -37.418 -33.279 +292 +305
88 eca_nfnet_l1 35.856 35.823 64.144 64.177 55.955 55.957 44.045 44.043 41.41 320 1.000 bicubic -48.151 -48.187 -41.073 -41.071 -19 -23
89 vit_base_patch16_224 vit_small_patch16_384 35.768 35.479 64.232 64.521 57.390 57.549 42.610 42.451 86.57 22.20 224 384 0.900 1.000 bicubic -46.018 -48.323 -38.732 -39.553 +37 -17
90 resnest101e 35.373 64.627 55.780 44.220 48.28 256 0.875 bilinear -47.517 -40.540 +6 +4
91 convit_base 35.314 64.686 54.927 45.073 86.54 224 0.875 bicubic -46.976 -41.011 +20 +21
92 resnetv2_101x3_bitm twins_svt_large 35.261 35.086 64.739 64.914 57.851 54.721 42.149 45.279 387.93 99.27 480 224 1.000 0.900 bilinear bicubic -49.133 -48.592 -39.511 -41.873 -36 -16
93 dm_nfnet_f1 repvgg_b3g4 35.192 35.043 64.808 64.957 54.413 54.772 45.587 45.228 132.63 83.83 320 224 0.910 0.875 bicubic bilinear -49.412 -45.169 -42.655 -40.338 -41 +98
94 twins_svt_large repvgg_b3 35.086 35.043 64.914 64.957 54.721 54.542 45.279 45.458 99.27 123.09 224 0.900 0.875 bicubic bilinear -48.592 -45.449 -41.873 -40.718 -15 +80
95 repvgg_b3 dm_nfnet_f1 35.043 34.990 64.957 65.010 54.542 54.108 45.458 45.892 123.09 132.63 224 320 0.875 0.910 bilinear bicubic -45.449 -49.636 -40.718 -42.992 +74 -51
96 repvgg_b3g4 resnet101d 35.043 34.872 64.957 65.128 54.772 54.202 45.228 45.798 83.83 44.57 224 320 0.875 1.000 bilinear bicubic -45.171 -48.150 -40.338 -42.244 +90 -4
97 resnet101d resmlp_big_24_distilled_224 34.872 34.788 65.128 65.213 54.202 54.637 45.798 45.363 44.57 129.14 320 224 1.000 0.875 bicubic -48.150 -48.803 -42.244 -42.011 -3 -20
98 vit_large_patch32_384 34.673 65.326 55.729 44.271 306.63 384 1.000 bicubic -46.833 -40.363 +38 +37
99 dm_nfnet_f0 34.642 34.618 65.358 65.382 54.762 54.672 45.238 45.328 71.49 256 0.900 bicubic -48.700 -48.767 -41.798 -41.900 -15 -18
100 ssl_resnext101_32x16d 34.605 65.395 55.931 44.069 194.03 224 0.875 bilinear -47.239 -40.165 +24 +25
101 repvgg_b2g4 34.587 65.413 54.782 45.218 61.76 224 0.875 bilinear -44.779 -39.906 +124 +131
102 resnest50d_4s2x40d 34.355 65.645 54.725 45.275 30.42 224 0.875 bicubic -46.753 -40.833 +48 +49
103 resnetrs152 34.355 65.645 53.562 46.438 86.62 320 1.000 bicubic -49.357 -43.052 -27 -30
104 tf_efficientnet_b1_ns 34.157 65.843 55.489 44.511 7.79 240 0.882 bicubic -47.231 -40.249 +36
105 twins_pcpvt_large 34.111 65.888 54.128 45.872 60.99 224 0.900 bicubic -49.029 -42.470 -17 -18
106 tf_efficientnet_b4 34.064 65.936 54.198 45.802 19.34 380 0.922 bicubic -48.958 -42.102 -11 -13
nfnet_l0 34.029 65.971 54.418 45.582 35.07 288 1.000 bicubic -48.731 -42.080 -9
107 ssl_resnext101_32x8d 34.017 65.983 55.601 44.399 88.79 224 0.875 bilinear -47.599 -40.437 +24
108 tf_efficientnet_b6 nfnet_l0 33.998 34.002 66.002 65.999 54.544 54.365 45.456 45.635 43.04 35.07 528 288 0.942 1.000 bicubic -50.112 -48.748 -42.342 -42.151 -44 -10
109 efficientnet_b3_pruned tf_efficientnet_b6 33.996 33.998 66.004 66.002 54.108 54.544 45.892 45.456 9.86 43.04 300 528 0.904 0.942 bicubic -46.862 -50.112 -41.134 -42.342 +50 -50
110 regnety_160 efficientnet_b3_pruned 33.976 33.996 66.024 66.004 53.546 54.108 46.454 45.892 83.59 9.86 288 300 1.000 0.904 bicubic -49.710 -46.862 -43.230 -41.134 -34 +52
111 regnety_160 33.976 66.024 53.546 46.454 83.59 288 1.000 bicubic -49.710 -43.230 -37
112 pit_s_distilled_224 33.939 66.061 53.265 46.735 24.04 224 0.900 bicubic -48.057 -42.533 +10
113 resnet51q resnetv2_50x3_bitm 33.563 33.658 66.437 66.342 53.021 55.882 46.979 44.118 35.70 217.32 288 448 1.000 bilinear -48.797 -50.356 -43.159 -41.242 -6 -49
114 regnety_032 resnet51q 33.412 33.563 66.588 66.437 52.754 53.021 47.246 46.979 19.44 35.70 288 1.000 bicubic bilinear -49.312 -48.797 -43.670 -43.159 -15 -7
115 gernet_l regnety_032 33.357 33.412 66.643 66.588 51.901 52.754 48.099 47.246 31.08 19.44 256 288 0.875 1.000 bilinear bicubic -47.997 -49.312 -43.635 -43.670 +27 -16
116 tresnet_xl gernet_l 33.257 33.357 66.743 66.643 52.294 51.901 47.706 48.099 78.44 31.08 224 256 0.875 bilinear -48.797 -47.997 -43.642 -43.635 +4 +26
117 resnest50d_1s4x24d tresnet_xl 33.147 33.257 66.853 66.743 52.839 52.294 47.161 47.706 25.68 78.44 224 0.875 bicubic bilinear -47.841 -48.797 -42.483 -43.642 +37 +3
118 twins_pcpvt_base resnest50d_1s4x24d 33.021 33.147 66.979 66.853 52.485 52.839 47.515 47.161 43.83 25.68 224 0.900 0.875 bicubic -49.687 -47.841 -43.861 -42.483 -18 +38
119 rexnet_200 twins_pcpvt_base 32.987 33.021 67.013 66.979 52.939 52.485 47.061 47.515 16.37 43.83 224 0.875 0.900 bicubic -48.645 -49.687 -42.729 -43.861 +12 -19
120 resnest50d rexnet_200 32.972 32.987 67.028 67.013 52.713 52.939 47.287 47.061 27.48 16.37 224 0.875 bilinear bicubic -48.002 -48.645 -42.665 -42.729 +35 +10
121 tf_efficientnetv2_s resnest50d 32.915 32.972 67.085 67.028 51.726 52.713 48.274 47.287 21.46 27.48 384 224 1.000 0.875 bicubic bilinear -50.979 -48.002 -44.972 -42.665 -50 +36
122 convit_small tf_efficientnetv2_s 32.913 32.915 67.087 67.085 52.123 51.726 47.877 48.274 27.78 21.46 224 384 0.875 1.000 bicubic -48.513 -50.979 -43.621 -44.972 +17 -55
123 tf_efficientnet_b3 convit_small 32.860 32.913 67.140 67.087 52.950 52.123 47.050 47.877 12.23 27.78 300 224 0.904 0.875 bicubic -48.776 -48.513 -42.768 -43.621 +7 +15
124 pnasnet5large vit_small_patch16_224 32.848 32.885 67.152 67.115 50.500 53.923 49.500 46.077 86.06 22.05 331 224 0.911 0.900 bicubic -49.934 -48.517 -45.540 -42.211 -27 +15
125 twins_svt_base tf_efficientnet_b3 32.836 32.860 67.164 67.140 51.559 52.950 48.441 47.050 56.07 12.23 224 300 0.900 0.904 bicubic -50.300 -48.776 -44.859 -42.768 -36 +4
126 nasnetalarge pnasnet5large 32.775 32.848 67.225 67.152 50.141 50.500 49.859 49.500 88.75 86.06 331 0.911 bicubic -49.845 -49.934 -45.906 -45.540 -24 -29
127 gernet_m twins_svt_base 32.740 32.836 67.260 67.164 51.913 51.559 48.087 48.441 21.14 56.07 224 0.875 0.900 bilinear bicubic -47.992 -50.300 -43.271 -44.859 +36 -39
128 inception_resnet_v2 nasnetalarge 32.738 32.775 67.262 67.225 50.648 50.141 49.352 49.859 55.84 88.75 299 331 0.897 0.911 bicubic -47.720 -49.845 -44.658 -45.906 +45 -26
129 gluon_resnet152_v1d gernet_m 32.734 32.740 67.266 67.260 51.088 51.913 48.912 48.087 60.21 21.14 224 0.875 bicubic bilinear -47.740 -47.992 -44.118 -43.271 +42 +37
130 pit_b_224 inception_resnet_v2 32.718 32.738 67.282 67.262 49.852 50.648 50.148 49.352 73.76 55.84 224 299 0.900 0.897 bicubic -49.728 -47.720 -45.858 -44.658 -25 +48
131 tf_efficientnet_b2_ap gluon_resnet152_v1d 32.681 32.734 67.319 67.266 52.239 51.088 47.761 48.912 9.11 60.21 260 224 0.890 0.875 bicubic -47.619 -47.740 -42.789 -44.118 +50 +45
132 tresnet_l pit_b_224 32.559 32.718 67.441 67.282 51.139 49.852 48.861 50.148 55.99 73.76 224 0.875 0.900 bilinear bicubic -48.931 -49.728 -44.485 -45.858 +5 -27
133 cait_xxs36_384 tf_efficientnet_b2_ap 32.549 32.681 67.451 67.319 52.233 52.239 47.767 47.761 17.37 9.11 384 260 1.000 0.890 bicubic -49.645 -47.619 -43.915 -42.979 -17 +53
134 vit_base_patch32_384 tresnet_l 32.461 32.559 67.539 67.441 52.444 51.139 47.556 48.861 88.30 55.99 384 224 1.000 0.875 bicubic bilinear -49.191 -48.931 -43.684 -44.485 -5 +2
135 wide_resnet50_2 cait_xxs36_384 32.439 32.549 67.561 67.451 51.459 52.233 48.541 47.767 68.88 17.37 224 384 0.875 1.000 bicubic -49.017 -49.645 -44.073 -43.915 +3 -19
136 resnetv2_50x3_bitm wide_resnet50_2 32.410 32.439 67.590 67.561 54.314 51.459 45.686 48.541 217.32 68.88 480 224 1.000 0.875 bilinear bicubic -51.374 -49.017 -42.792 -44.073 -61 +1
137 ens_adv_inception_resnet_v2 32.370 67.629 50.427 49.573 55.84 299 0.897 bicubic -47.611 -44.509 -44.511 +59 +64
138 vit_deit_base_patch16_224 deit_base_patch16_224 32.363 67.637 51.011 48.989 86.57 224 0.900 bicubic -49.635 -44.723 -17
139 swin_small_patch4_window7_224 32.341 67.659 50.905 49.095 49.61 224 0.900 bicubic -50.871 -45.417 -52 -53
140 gluon_resnet152_v1s 32.331 67.669 50.526 49.474 60.32 224 0.875 bicubic -48.685 -44.886 +13 +15
141 vit_deit_small_distilled_patch16_224 deit_small_distilled_patch16_224 32.284 67.716 52.102 47.898 22.44 224 0.900 bicubic -48.916 -43.276 +7
142 gluon_seresnext101_64x4d 32.205 67.795 50.319 49.681 88.23 224 0.875 bicubic -48.689 -44.989 +17 +19
143 coat_lite_small 32.127 67.873 49.934 50.066 19.84 224 0.900 bicubic -50.181 -45.916 -34 -33
144 gluon_seresnext101_32x4d 32.107 67.893 51.237 48.763 48.96 224 0.875 bicubic -48.797 -44.057 +14 +16
145 vit_deit_base_patch16_384 deit_base_patch16_384 31.989 68.011 50.547 49.453 86.86 384 1.000 bicubic -51.117 -45.825 -55 -56
146 seresnext50_32x4d 31.985 68.015 51.231 48.769 27.56 224 0.875 bicubic -49.281 -44.389 0
147 levit_384 31.877 68.123 50.598 49.402 39.13 224 0.900 bicubic -50.709 -45.418 -43 -44
148 resnetrs101 31.858 68.142 51.017 48.983 63.62 288 0.940 bicubic -50.430 -44.991 -36 -35
149 cspresnext50 31.822 68.178 51.602 48.398 20.57 224 0.875 bilinear -48.218 -43.342 +45 +50
eca_nfnet_l0 31.657 68.343 51.654 48.346 24.14 288 1.000 bicubic -50.931 -44.820 -47
150 tnt_s_patch16_224 31.643 68.357 51.143 48.857 23.76 224 0.900 bicubic -49.875 -44.605 -17
151 resnet50 eca_nfnet_l0 31.547 31.612 68.453 68.388 50.170 51.612 49.830 48.388 25.56 24.14 224 288 0.875 1.000 bicubic -47.491 -50.968 -44.220 -44.878 +96 -47
152 ssl_resnext101_32x4d resnetv2_50x1_bit_distilled 31.423 31.584 68.577 68.416 52.121 51.263 47.879 48.737 44.18 25.55 224 0.875 bilinear bicubic -49.501 -51.234 -43.607 -45.259 +4 -56
153 inception_v4 resnet50 31.378 31.547 68.622 68.453 49.244 50.170 50.756 49.830 42.68 25.56 299 224 0.875 bicubic -48.790 -47.491 -45.724 -44.220 +35 +102
154 rexnet_150 ssl_resnext101_32x4d 31.366 31.423 68.634 68.577 51.288 52.121 48.712 47.879 9.73 44.18 224 0.875 bicubic bilinear -48.944 -49.501 -43.878 -43.607 +23 +5
155 inception_v4 31.378 68.622 49.244 50.756 42.68 299 0.875 bicubic -48.790 -45.724 +39
156 rexnet_150 31.366 68.634 51.288 48.712 9.73 224 0.875 bicubic -48.944 -43.878 +28
157 pit_s_224 31.333 68.667 49.661 50.339 23.46 224 0.900 bicubic -49.761 -45.671 -5
158 cait_xxs36_224 31.278 68.722 50.616 49.384 17.30 224 1.000 bicubic -48.472 -44.250 +53 +58
159 cspresnet50 31.270 68.730 51.223 48.777 21.62 256 0.887 bilinear -48.304 -43.489 +60 +65
160 coat_mini 31.203 68.797 49.773 50.227 10.34 224 0.900 bicubic -50.065 -45.619 -14 -15
161 ecaresnetlight 31.121 68.879 50.243 49.757 30.16 224 0.875 bicubic -49.341 -45.007 +12 +16
162 gluon_resnet101_v1s 31.115 68.885 49.793 50.207 44.67 224 0.875 bicubic -49.187 -45.367 +18 +23
163 tf_efficientnet_cc_b0_8e 31.087 68.913 50.761 49.239 24.01 224 0.875 bicubic -46.821 -42.892 +132 +141
164 ecaresnet50d resmlp_36_distilled_224 31.058 31.070 68.942 68.930 50.848 49.683 49.152 50.317 25.58 44.69 224 0.875 bicubic -49.534 -50.090 -44.472 -45.805 +4 -14
165 ecaresnet50t ecaresnet50d 31.058 68.942 50.577 50.848 49.423 49.152 25.57 25.58 320 224 0.950 0.875 bicubic -51.288 -49.534 -45.561 -44.472 -56 +6
166 resnet50d ecaresnet50t 31.020 31.058 68.980 68.942 49.808 50.577 50.192 49.423 25.58 25.57 224 320 0.875 0.950 bicubic -49.510 -51.288 -45.352 -45.561 +3 -58
167 cspdarknet53 resnet50d 31.018 31.020 68.981 68.980 50.390 49.808 49.610 50.192 27.64 25.58 256 224 0.887 0.875 bilinear bicubic -49.040 -49.510 -44.694 -45.352 +27 +5
168 gluon_resnet152_v1c cspdarknet53 30.991 31.018 69.009 68.981 48.924 50.390 51.076 49.610 60.21 27.64 224 256 0.875 0.887 bicubic bilinear -48.919 -49.040 -45.916 -44.694 +32 +30
169 gluon_resnext101_64x4d gluon_resnet152_v1c 30.987 30.991 69.013 69.009 48.549 48.924 51.451 51.076 83.46 60.21 224 0.875 bicubic -49.617 -48.919 -46.439 -45.916 -2 +35
170 twins_svt_small gluon_resnext101_64x4d 30.985 30.987 69.015 69.013 49.223 48.549 50.777 51.451 24.06 83.46 224 0.900 0.875 bicubic -50.697 -49.617 -46.447 -46.439 -41 0
171 tf_efficientnet_cc_b1_8e twins_svt_small 30.899 30.985 69.101 69.015 50.080 49.223 49.920 50.777 39.72 24.06 240 224 0.882 0.900 bicubic -48.409 -50.697 -44.290 -46.447 +59 -43
172 ecaresnet101d_pruned resmlp_24_distilled_224 30.897 30.901 69.103 69.099 50.013 50.178 49.987 49.822 24.88 30.02 224 0.875 bicubic -49.921 -49.865 -45.615 -45.040 -10 -7
173 gluon_resnext101_32x4d tf_efficientnet_cc_b1_8e 30.877 30.899 69.123 69.101 48.537 50.080 51.463 49.920 44.18 39.72 224 240 0.875 0.882 bicubic -49.457 -48.409 -46.389 -44.290 +4 +63
174 tf_efficientnetv2_b3 ecaresnet101d_pruned 30.861 30.897 69.139 69.103 49.814 50.013 50.186 49.987 14.36 24.88 300 224 0.904 0.875 bicubic -51.109 -49.921 -45.968 -45.615 -50 -11
175 tf_efficientnet_lite4 gluon_resnext101_32x4d 30.830 30.877 69.170 69.123 50.386 48.537 49.614 51.463 13.01 44.18 380 224 0.920 0.875 bilinear bicubic -50.706 -49.457 -45.282 -46.389 -41 +7
176 nf_resnet50 tf_efficientnetv2_b3 30.775 30.861 69.225 69.139 50.074 49.814 49.926 50.186 25.56 14.36 288 300 0.940 0.904 bicubic -49.919 -51.109 -45.282 -45.968 -11 -53
177 dpn107 tf_efficientnet_lite4 30.678 30.830 69.322 69.170 48.810 50.386 51.190 49.614 86.92 13.01 224 380 0.875 0.920 bicubic bilinear -49.478 -50.706 -46.100 -45.282 +14 -45
178 ese_vovnet39b nf_resnet50 30.657 30.702 69.343 69.298 49.875 49.958 50.125 50.042 24.57 25.56 224 288 0.875 0.940 bicubic -48.663 -49.958 -44.837 -45.378 +50 -10
179 gluon_resnet152_v1b dpn107 30.623 30.678 69.376 69.322 48.521 48.810 51.479 51.190 60.19 86.92 224 0.875 bicubic -49.063 -49.478 -46.215 -46.100 +36 +16
180 tresnet_xl_448 ese_vovnet39b 30.614 30.657 69.386 69.343 49.069 49.875 50.931 50.125 78.44 24.57 448 224 0.875 bilinear bicubic -52.436 -48.663 -47.105 -44.837 -86 +54
181 ssl_resnext50_32x4d gluon_resnet152_v1b 30.594 30.623 69.406 69.376 50.657 48.521 49.343 51.479 25.03 60.19 224 0.875 bilinear bicubic -49.724 -49.063 -44.749 -46.215 -3 +39
182 gluon_resnet101_v1d tresnet_xl_448 30.523 30.614 69.477 69.386 47.950 49.069 52.050 50.931 44.57 78.44 224 448 0.875 bicubic bilinear -49.891 -52.436 -47.064 -47.105 -7 -91
183 dpn68b ssl_resnext50_32x4d 30.517 30.594 69.483 69.406 49.158 50.657 50.842 49.343 12.61 25.03 224 0.875 bicubic bilinear -48.699 -49.724 -45.256 -44.749 +57 0
184 resnest26d gluon_resnet101_v1d 30.490 30.523 69.510 69.477 50.677 47.950 49.323 52.050 17.07 44.57 224 0.875 bilinear bicubic -47.988 -49.891 -43.621 -47.064 +84 -5
185 efficientnet_b2 dpn68b 30.435 30.517 69.565 69.483 49.698 49.158 50.302 50.842 9.11 12.61 288 224 1.000 0.875 bicubic -50.177 -48.699 -45.620 -45.256 -19 +61
186 tf_efficientnet_b1_ap resnest26d 30.421 30.490 69.579 69.510 49.553 50.677 50.447 49.323 7.79 17.07 240 224 0.882 0.875 bicubic bilinear -48.859 -47.988 -44.753 -43.621 +50 +88
187 twins_pcpvt_small efficientnet_b2 30.382 30.435 69.618 69.565 49.386 49.698 50.614 50.302 24.11 9.11 224 288 0.900 1.000 bicubic -50.706 -50.177 -46.256 -45.620 -34 -18
188 visformer_small tf_efficientnet_b1_ap 30.329 30.421 69.671 69.579 48.285 49.553 51.715 50.447 40.22 7.79 224 240 0.900 0.882 bicubic -51.777 -48.859 -47.587 -44.753 -68 +54
189 pit_xs_distilled_224 twins_pcpvt_small 30.278 30.382 69.722 69.618 49.836 49.386 50.164 50.614 11.00 24.11 224 0.900 bicubic -49.028 -50.706 -44.528 -46.256 +44 -36
190 seresnet50 visformer_small 30.077 30.329 69.923 69.671 49.292 48.285 50.708 51.715 28.09 40.22 224 0.875 0.900 bicubic -50.197 -51.777 -45.778 -47.587 -7 -71
191 dpn98 pit_xs_distilled_224 30.067 30.278 69.933 69.722 48.244 49.836 51.756 50.164 61.57 11.00 224 0.875 0.900 bicubic -49.575 -49.028 -46.354 -44.528 +26 +47
192 tf_efficientnet_b2 seresnet50 30.026 30.077 69.974 69.923 49.581 49.292 50.419 50.708 9.11 28.09 260 224 0.890 0.875 bicubic -50.060 -50.197 -45.328 -45.778 +1 -4
193 dpn131 dpn98 30.024 30.067 69.976 69.933 48.146 48.244 51.854 51.756 79.25 61.57 224 0.875 bicubic -49.798 -49.575 -46.564 -46.354 +15 +29
194 efficientnet_el tf_efficientnet_b2 30.018 30.026 69.982 69.974 48.834 49.581 51.166 50.419 10.59 9.11 300 260 0.904 0.890 bicubic -51.298 -50.060 -46.692 -45.328 -50 +3
195 legacy_senet154 dpn131 30.001 30.024 69.999 69.976 48.034 48.146 51.966 51.854 115.09 79.25 224 0.875 bilinear bicubic -51.309 -49.798 -47.462 -46.564 -50 +17
196 dpn92 efficientnet_el 29.953 30.018 70.047 69.982 49.162 48.834 50.838 51.166 37.67 10.59 224 300 0.875 0.904 bicubic -50.055 -51.298 -45.674 -46.692 0 -53
197 gluon_senet154 legacy_senet154 29.877 30.001 70.123 69.999 47.894 48.034 52.106 51.966 115.09 224 0.875 bicubic bilinear -51.357 -51.309 -47.454 -47.462 -49 -53
198 xception dpn92 29.865 29.953 70.135 70.047 48.686 49.162 51.314 50.838 22.86 37.67 299 224 0.897 0.875 bicubic -49.187 -50.055 -45.706 -45.674 +50 +2
199 adv_inception_v3 resnetv2_101x1_bitm 29.816 29.898 70.184 70.102 47.847 51.121 52.153 48.879 23.83 44.54 299 448 0.875 1.000 bicubic bilinear -47.766 -52.434 -45.889 -45.397 +107 -90
200 gluon_xception65 gluon_senet154 29.784 29.877 70.216 70.123 47.755 47.894 52.245 52.106 39.92 115.09 299 224 0.903 0.875 bicubic -49.932 -51.357 -47.105 -47.454 +14 -53
201 resnetblur50 xception 29.625 29.865 70.375 70.135 48.248 48.686 51.752 51.314 25.56 22.86 224 299 0.875 0.897 bicubic -49.661 -49.187 -46.390 -45.706 +34 +53
202 efficientnet_em adv_inception_v3 29.486 29.816 70.514 70.184 48.946 47.847 51.054 52.153 6.90 23.83 240 299 0.882 0.875 bicubic -49.766 -47.766 -45.848 -45.889 +35 +112
203 resnext101_32x8d gluon_xception65 29.439 29.784 70.561 70.216 48.486 47.755 51.514 52.245 88.79 39.92 224 299 0.875 0.903 bilinear bicubic -49.869 -49.932 -46.032 -47.105 +26 +16
204 coat_lite_mini resmlp_36_224 29.433 29.692 70.567 70.308 47.724 48.969 52.276 51.031 11.01 44.69 224 0.900 0.875 bicubic -49.655 -50.078 -46.880 -45.917 +40 +10
205 ssl_resnet50 resnetblur50 29.423 29.625 70.577 70.375 49.781 48.248 50.219 51.752 25.56 224 0.875 bilinear bicubic -49.799 -49.661 -45.051 -46.390 +33 +36
206 vit_deit_small_patch16_224 efficientnet_em 29.421 29.486 70.579 70.514 48.256 48.946 51.744 51.054 22.05 6.90 224 240 0.900 0.882 bicubic -50.435 -49.766 -46.796 -45.848 -1 +37
207 nf_regnet_b1 resnext101_32x8d 29.397 29.439 70.603 70.561 49.445 48.486 50.555 51.514 10.22 88.79 288 224 0.900 0.875 bicubic bilinear -49.909 -49.869 -45.303 -46.032 +25 +28
208 cait_xxs24_384 coat_lite_mini 29.387 29.433 70.612 70.567 48.753 47.724 51.247 52.276 12.03 11.01 384 224 1.000 0.900 bicubic -51.578 -49.655 -46.893 -46.880 -51 +42
209 swin_tiny_patch4_window7_224 ssl_resnet50 29.334 29.423 70.666 70.577 47.602 49.781 52.398 50.219 28.29 25.56 224 0.900 0.875 bicubic bilinear -52.044 -49.799 -47.938 -45.051 -67 +35
210 resnext50_32x4d deit_small_patch16_224 29.331 29.421 70.669 70.579 47.397 48.256 52.603 51.744 25.03 22.05 224 0.875 0.900 bicubic -50.438 -50.435 -47.201 -46.796 0 -2
211 resnet34d nf_regnet_b1 29.328 29.390 70.671 70.611 48.409 49.425 51.591 50.575 21.82 10.22 224 288 0.875 0.900 bicubic -47.788 -49.903 -44.973 -45.323 +109 +29
212 cait_xxs24_224 cait_xxs24_384 29.303 29.387 70.697 70.612 48.535 48.753 51.465 51.247 11.96 12.03 224 384 1.000 bicubic -49.083 -51.578 -45.775 -46.893 +62 -54
213 ecaresnet50d_pruned swin_tiny_patch4_window7_224 29.215 29.334 70.785 70.666 48.453 47.602 51.547 52.398 19.94 28.29 224 0.875 0.900 bicubic -50.501 -52.044 -46.427 -47.938 0 -72
214 tresnet_l_448 resnext50_32x4d 29.165 29.331 70.835 70.669 47.232 47.397 52.768 52.603 55.99 25.03 448 224 0.875 bilinear bicubic -53.103 -50.438 -48.744 -47.201 -100 +1
215 gluon_inception_v3 resnet34d 29.122 29.328 70.878 70.671 46.957 48.409 53.043 51.591 23.83 21.82 299 224 0.875 bicubic -49.684 -47.788 -47.413 -44.973 +40 +113
216 cait_xxs24_224 29.303 70.697 48.535 51.465 11.96 224 1.000 bicubic -49.083 -45.775 +65
217 ecaresnet50d_pruned 29.215 70.785 48.453 51.547 19.94 224 0.875 bicubic -50.501 -46.427 +1
218 tresnet_l_448 29.165 70.835 47.232 52.768 55.99 448 0.875 bilinear -53.103 -48.744 -104
219 gluon_inception_v3 29.122 70.878 46.957 53.043 23.83 299 0.875 bicubic -49.684 -47.413 +42
220 xception71 29.047 70.953 47.405 52.595 42.34 299 0.903 bicubic -50.826 -47.517 -13
221 hrnet_w64 28.989 71.011 47.142 52.858 128.06 224 0.875 bilinear -50.485 -47.510 +6 +7
222 resnetv2_101x1_bitm tf_efficientnet_b0_ns 28.910 28.902 71.090 71.098 49.502 49.011 50.498 50.989 44.54 5.29 480 224 1.000 0.875 bilinear bicubic -53.302 -49.756 -46.970 -45.365 -102 +46
223 tf_efficientnet_b0_ns xception65 28.902 28.896 71.098 71.104 49.011 47.167 50.989 52.833 5.29 39.92 224 299 0.875 0.903 bicubic -49.756 -50.656 -45.365 -47.487 +43 +2
224 xception65 tf_efficientnet_b1 28.896 28.886 71.104 71.114 47.167 47.503 52.833 52.497 39.92 7.79 299 240 0.903 0.882 bicubic -50.656 -49.940 -47.487 -46.695 0 +36
225 tf_efficientnet_b1 gluon_resnet101_v1b 28.886 28.878 71.114 71.121 47.503 46.389 52.497 53.611 7.79 44.55 240 224 0.882 0.875 bicubic -49.940 -50.427 -46.695 -48.135 +33 +12
226 gluon_resnet101_v1b vit_small_patch32_384 28.878 28.871 71.121 71.129 46.389 48.887 53.611 51.113 44.55 22.92 224 384 0.875 1.000 bicubic -50.427 -51.609 -48.135 -46.711 +9 -52
227 skresnext50_32x4d 28.818 71.182 46.497 53.503 27.48 224 0.875 bicubic -51.338 -48.145 -31
228 levit_256 28.745 71.255 46.723 53.277 18.89 224 0.900 bicubic -52.765 -48.767 -88 -94
229 tf_efficientnet_lite3 28.660 71.340 47.354 52.646 8.20 300 0.904 bilinear -51.160 -47.560 -16
230 gluon_seresnext50_32x4d 28.651 71.349 46.436 53.564 27.56 224 0.875 bicubic -51.267 -48.386 -28
231 skresnet34 28.645 71.355 47.953 52.047 22.28 224 0.875 bicubic -48.267 -45.369 +101 +105
232 hrnet_w40 28.641 71.359 47.454 52.546 57.56 224 0.875 bilinear -50.279 -47.016 +23 +25
233 tf_efficientnetv2_b0 28.566 71.434 47.079 52.921 7.14 224 0.875 bicubic -49.790 -46.945 +48 +51
234 tv_resnet152 28.533 71.467 47.118 52.882 60.19 224 0.875 bilinear -49.779 -46.920 +48 +51
235 repvgg_b2 28.427 71.573 47.038 52.962 89.02 224 0.875 bilinear -50.365 -47.376 +26 +28
236 hrnet_w48 28.413 71.587 47.586 52.414 77.47 224 0.875 bilinear -50.887 -46.926 +2 +3
237 gluon_resnext50_32x4d 28.375 71.624 45.328 54.672 25.03 224 0.875 bicubic -50.978 -49.098 -6 -4
238 efficientnet_b2_pruned 28.362 71.638 47.051 52.949 8.31 260 0.890 bicubic -51.554 -47.805 -35
239 tf_efficientnet_b0_ap 28.346 71.654 47.531 52.469 5.29 224 0.875 bicubic -48.740 -45.725 +87 +91
240 tf_efficientnet_cc_b0_4e 28.315 71.685 47.364 52.636 13.31 224 0.875 bicubic -48.991 -45.970 +79 +83
241 dla169 dla102x2 28.313 71.687 47.391 46.761 52.609 53.239 53.39 41.28 224 0.875 bilinear -50.375 -51.135 -46.945 -47.879 +22 -11
242 dla102x2 dla169 28.313 71.687 46.761 47.391 53.239 52.609 41.28 53.39 224 0.875 bilinear -51.135 -50.375 -47.879 -46.945 -12 +24
243 mixnet_xl 28.287 71.713 46.702 53.298 11.90 224 0.875 bicubic -52.189 -48.234 -68
244 gluon_resnet50_v1d 28.246 71.754 45.878 54.122 25.58 224 0.875 bicubic -50.828 -48.592 +6 +8
245 wide_resnet101_2 28.108 71.892 46.401 53.599 126.89 224 0.875 bilinear -50.748 -47.881 +12 +14
246 gluon_resnet101_v1c 28.104 71.896 45.961 54.039 44.57 224 0.875 bicubic -51.430 -48.617 -21 -20
247 regnetx_320 28.093 71.907 45.126 54.874 107.81 224 0.875 bicubic -52.153 -49.900 -58 -57
248 densenet161 28.081 71.919 46.641 53.359 28.68 224 0.875 bicubic -49.277 -46.997 +70 +74
249 regnety_320 28.059 71.941 45.444 54.556 145.05 224 0.875 bicubic -52.753 -49.800 -82 -85
250 gernet_s 28.022 71.978 46.723 53.277 8.17 224 0.875 bilinear -48.894 -46.409 +81 +85
efficientnet_el_pruned 28.016 71.984 46.790 53.210 10.59 300 0.904 bicubic -52.284 -48.428 -66
251 levit_192 28.016 71.984 45.880 54.120 10.95 224 0.900 bicubic -51.826 -48.906 -41
252 xception41 efficientnet_el_pruned 27.888 28.016 72.112 71.984 45.890 46.790 54.110 53.210 26.97 10.59 299 300 0.903 0.904 bicubic -50.628 -52.284 -48.388 -48.238 +15 -64
253 regnetx_160 xception41 27.817 27.888 72.183 72.112 45.617 45.890 54.383 54.110 54.28 26.97 224 299 0.875 0.903 bicubic -52.039 -50.628 -49.213 -48.388 -46 +17
254 tf_inception_v3 regnetx_160 27.780 27.817 72.220 72.183 45.721 45.617 54.279 54.383 23.83 54.28 299 224 0.875 bicubic -50.078 -52.039 -48.149 -49.213 +46 -45
255 res2net101_26w_4s tf_inception_v3 27.768 27.780 72.232 72.220 45.179 45.721 54.821 54.279 45.21 23.83 224 299 0.875 bilinear bicubic -51.430 -50.082 -49.253 -47.919 -10 +51
256 tf_efficientnetv2_b1 res2net101_26w_4s 27.760 27.768 72.240 72.232 46.578 45.179 53.422 54.821 8.14 45.21 240 224 0.882 0.875 bicubic bilinear -51.702 -51.430 -48.144 -49.253 -29 -8
257 repvgg_b1 tf_efficientnetv2_b1 27.656 27.760 72.344 72.240 46.531 46.578 53.469 53.422 57.42 8.14 224 240 0.875 0.882 bilinear bicubic -50.710 -51.702 -47.567 -48.144 +22 -28
258 hrnet_w44 repvgg_b1 27.621 27.656 72.379 72.344 45.837 46.531 54.163 53.469 67.06 57.42 224 0.875 bilinear -51.275 -50.710 -48.531 -47.567 -3 +25
259 inception_v3 hrnet_w44 27.556 27.621 72.444 72.379 45.263 45.837 54.737 54.163 23.83 67.06 299 224 0.875 bicubic bilinear -49.882 -51.275 -48.213 -48.531 +55 -1
260 pit_xs_224 inception_v3 27.491 27.556 72.509 72.444 45.900 45.263 54.100 54.737 10.62 23.83 224 299 0.900 0.875 bicubic -50.691 -49.882 -48.268 -48.211 +26 +59
261 regnetx_080 resmlp_24_224 27.405 27.521 72.595 72.479 45.002 45.696 54.998 54.304 39.57 30.02 224 0.875 bicubic -51.789 -51.853 -49.558 -48.851 -15 -30
262 hrnet_w30 pit_xs_224 27.381 27.491 72.619 72.509 46.554 45.900 53.446 54.100 37.71 10.62 224 0.875 0.900 bilinear bicubic -50.825 -50.691 -47.668 -48.268 +23 +28
263 hrnet_w32 regnetx_080 27.369 27.405 72.631 72.595 45.994 45.002 54.006 54.998 41.23 39.57 224 0.875 bilinear bicubic -51.081 -51.789 -48.192 -49.558 +10 -14
264 gluon_resnet50_v1s hrnet_w30 27.326 27.381 72.674 72.619 45.222 46.554 54.778 53.446 25.68 37.71 224 0.875 bicubic bilinear -51.384 -50.825 -49.016 -47.668 -2 +25
265 densenet201 hrnet_w32 27.265 27.369 72.735 72.631 46.222 45.994 53.778 54.006 20.01 41.23 224 0.875 bicubic bilinear -50.021 -51.081 -47.256 -48.192 +54 +11
266 densenetblur121d gluon_resnet50_v1s 27.228 27.326 72.772 72.674 46.299 45.222 53.701 54.778 8.00 25.68 224 0.875 bicubic -49.360 -51.386 -46.893 -49.016 +73 -1
267 densenet201 27.265 72.735 46.222 53.778 20.01 224 0.875 bicubic -50.021 -47.256 +57
268 densenetblur121d 27.228 72.772 46.299 53.701 8.00 224 0.875 bicubic -49.360 -46.893 +77
269 regnety_064 27.220 72.780 44.847 55.153 30.58 224 0.875 bicubic -52.502 -49.921 -52
270 efficientnet_b1_pruned 27.181 72.819 45.872 54.128 6.33 240 0.882 bicubic -51.055 -47.962 +16 +18
271 tf_efficientnetv2_b2 27.163 72.837 44.570 55.430 10.10 260 0.890 bicubic -53.045 -50.472 -78
272 resnetrs50 27.110 72.890 45.029 54.971 35.69 224 0.910 bicubic -52.782 -49.939 -66 -67
273 rexnet_130 27.094 72.906 45.933 54.067 7.56 224 0.875 bicubic -52.406 -48.749 -46
274 vit_small_patch16_224 res2net50_26w_8s 27.086 27.078 72.914 72.921 45.701 44.428 54.299 55.572 48.75 48.40 224 0.900 0.875 bicubic bilinear -50.772 -52.119 -47.939 -49.940 +29 -27
275 res2net50_26w_8s dla102x 27.078 27.061 72.921 72.939 44.428 45.475 55.572 54.525 48.40 26.31 224 0.875 bilinear -52.119 -51.449 -49.940 -48.753 -29 -4
276 dla102x gmixer_24_224 27.061 27.027 72.939 72.972 45.475 44.361 54.525 55.639 26.31 24.72 224 0.875 bilinear bicubic -51.449 -51.008 -48.753 -49.303 -6 +20
277 tv_resnet101 26.963 73.037 45.234 54.766 44.55 224 0.875 bilinear -50.411 -48.306 +41 +44
278 resnext50d_32x4d 26.876 73.124 44.436 55.564 25.05 224 0.875 bicubic -52.800 -50.430 -57
279 regnetx_120 26.868 73.132 44.682 55.318 46.11 224 0.875 bicubic -52.728 -50.056 -56
280 rexnet_100 26.831 73.169 45.369 54.631 4.80 224 0.875 bicubic -51.027 -48.047 -48.501 +24 +27
281 densenet169 26.829 73.171 45.373 54.627 14.15 224 0.875 bicubic -49.077 -47.653 +70 +76
282 legacy_seresnext101_32x4d 26.811 73.189 43.497 56.503 48.96 224 0.875 bilinear -53.417 -51.521 -91
283 regnety_120 26.788 73.212 44.454 55.546 51.82 224 0.875 bicubic -53.578 -50.672 -102 -103
284 regnetx_064 26.784 73.216 44.927 55.073 26.21 224 0.875 bicubic -52.288 -49.531 -32 -31
285 regnetx_032 26.703 73.297 45.236 54.764 15.30 224 0.875 bicubic -51.469 -48.852 +4 +6
286 legacy_seresnet152 26.676 73.324 43.947 56.053 66.82 224 0.875 bilinear -51.984 -50.423 -20 -19
287 densenet121 26.664 73.336 45.900 54.100 7.98 224 0.875 bicubic -48.914 -46.752 +68 +74
288 efficientnet_es 26.621 73.379 45.112 54.888 5.44 224 0.875 bicubic -51.445 -48.814 +5 +7
289 res2net50_26w_6s 26.595 73.405 43.990 56.010 37.05 224 0.875 bilinear -51.975 -50.134 -21 -20
290 repvgg_b1g4 26.579 73.421 45.084 54.916 39.97 224 0.875 bilinear -51.015 -48.742 +20 +23
291 dla60x 26.552 73.448 45.023 54.977 17.35 224 0.875 bilinear -51.694 -48.995 -7 -5
292 regnety_080 26.524 73.476 44.359 55.641 39.18 224 0.875 bicubic -53.352 -50.471 -85 -86
293 coat_lite_tiny 26.507 73.493 44.644 55.356 5.72 224 0.900 bicubic -51.005 -49.272 +21 +24
294 tf_efficientnet_b0 26.485 73.515 45.646 54.354 5.29 224 0.875 bicubic -50.363 -47.582 +40 +43
295 res2net50_14w_8s 26.483 73.517 44.371 55.629 25.06 224 0.875 bilinear -51.667 -49.477 -5 -3
296 mobilenetv3_large_100_miil 26.481 73.519 44.473 55.527 5.48 224 0.875 bilinear -51.435 -48.437 +3 +7
297 gluon_resnet50_v1b 26.436 73.564 44.035 55.965 25.56 224 0.875 bicubic -51.144 -49.681 +15 +18
298 tf_efficientnet_el 26.357 73.643 44.175 55.825 10.59 300 0.904 bicubic -53.893 -50.953 -109
299 levit_128 26.332 73.668 44.096 55.904 9.21 224 0.900 bicubic -52.154 -49.914 -28 -27
300 regnetx_040 resmlp_big_24_224 26.243 26.318 73.757 73.682 44.438 43.556 55.562 56.444 22.12 129.14 224 0.875 bicubic -52.239 -54.710 -49.806 -51.466 -28 -146
301 dpn68 resmlp_12_distilled_224 26.129 26.314 73.871 73.686 44.228 44.874 55.772 55.126 12.61 15.35 224 0.875 bicubic -50.189 -51.630 -48.750 -48.684 +45 +1
302 efficientnet_b1 regnetx_040 26.061 26.243 73.939 73.757 44.080 44.438 55.920 55.562 7.79 22.12 256 224 1.000 0.875 bicubic -52.733 -52.239 -50.262 -49.806 -41 -29
303 vit_small_patch32_224 26.151 73.849 45.104 54.896 22.88 224 0.900 bicubic -49.839 -48.168 +51
304 dpn68 26.129 73.871 44.228 55.772 12.61 224 0.875 bicubic -50.189 -48.750 +46
305 efficientnet_b1 26.061 73.939 44.080 55.920 7.79 256 1.000 bicubic -52.733 -50.262 -43
306 hrnet_w18 25.986 74.014 44.813 55.187 21.30 224 0.875 bilinear -50.772 -48.631 +33
307 hardcorenas_f 25.951 74.049 44.220 55.780 8.20 224 0.875 bilinear -52.153 -49.582 -12 -13
308 regnety_040 25.923 74.077 43.848 56.152 20.65 224 0.875 bicubic -53.297 -50.808 -61 -63
309 resnet34 25.888 74.112 43.982 56.018 21.80 224 0.875 bilinear -49.222 -48.302 +59 +63
310 res2net50_26w_4s 25.866 74.134 43.155 56.845 25.70 224 0.875 bilinear -52.098 -50.699 -9
311 tresnet_m_448 25.852 74.148 42.874 57.126 31.39 448 0.875 bilinear -55.862 -52.698 -175 -184
312 coat_tiny 25.843 74.157 43.276 56.724 5.50 224 0.900 bicubic -52.591 -50.761 -32 -34
313 hardcorenas_c 25.815 74.185 44.772 55.228 5.52 224 0.875 bilinear -51.239 -48.386 +18
314 gluon_resnet50_v1c 25.784 74.216 43.031 56.969 25.58 224 0.875 bicubic -52.228 -50.957 -16
315 selecsls60 25.729 74.272 44.065 55.935 30.67 224 0.875 bicubic -52.254 -49.764 -15
316 hardcorenas_e 25.662 74.338 43.412 56.588 8.07 224 0.875 bilinear -52.132 -50.282 -8
317 dla60_res2net 25.652 74.348 43.599 56.401 20.85 224 0.875 bilinear -52.812 -50.607 -40 -42
318 dla60_res2next 25.640 74.360 43.670 56.330 17.03 224 0.875 bilinear -52.800 -50.482 -39 -41
319 ecaresnet26t 25.538 74.462 43.660 56.340 16.01 320 0.950 bicubic -54.316 -51.424 -105 -109
320 mixnet_l resmlp_12_224 25.512 25.518 74.488 74.482 43.455 44.324 56.545 55.676 7.33 15.35 224 0.875 bicubic -53.464 -51.136 -50.727 -48.856 -62 +21
321 mixnet_l 25.512 74.488 43.455 56.545 7.33 224 0.875 bicubic -53.464 -50.727 -65
322 tf_efficientnet_lite1 25.499 74.501 43.585 56.415 5.42 240 0.882 bicubic -51.143 -49.641 +20
323 tv_resnext50_32x4d 25.455 74.545 42.787 57.213 25.03 224 0.875 bilinear -52.165 -50.909 -11 -12
324 repvgg_a2 25.436 74.564 43.939 56.061 28.21 224 0.875 bilinear -51.024 -49.065 +25
325 tf_mixnet_l 25.422 74.578 42.534 57.466 7.33 224 0.875 bicubic -53.352 -51.464 -58 -61
326 hardcorenas_b 25.402 74.598 44.190 55.810 5.18 224 0.875 bilinear -51.136 -48.564 +20
327 res2next50 25.389 74.611 42.508 57.492 24.67 224 0.875 bilinear -52.857 -51.384 -38 -40
328 legacy_seresnet101 25.334 74.666 42.825 57.175 49.33 224 0.875 bilinear -53.048 -51.439 -44 -46
329 selecsls60b 25.332 74.668 43.559 56.441 32.77 224 0.875 bicubic -53.080 -50.615 -47 -49
330 dla102 resnetv2_50x1_bitm 25.316 25.324 74.684 74.676 43.827 45.359 56.173 54.641 33.27 25.55 224 448 0.875 1.000 bilinear -52.716 -55.018 -50.119 -50.325 -32 -149
331 hardcorenas_d dla102 25.300 25.316 74.700 74.684 43.121 43.827 56.879 56.173 7.50 33.27 224 0.875 bilinear -52.132 -52.716 -50.363 -50.119 -10 -34
332 resnest14d hardcorenas_d 25.284 25.300 74.716 74.700 44.114 43.121 55.886 56.879 10.61 7.50 224 0.875 bilinear -50.222 -52.132 -48.404 -50.363 +29 -12
333 legacy_seresnext50_32x4d resnest14d 25.210 25.284 74.790 74.716 41.936 44.114 58.064 55.886 27.56 10.61 224 0.875 bilinear -53.868 -50.222 -52.500 -48.404 -79 +30
334 mixer_b16_224 legacy_seresnext50_32x4d 25.121 25.210 74.879 74.790 41.227 41.936 58.773 58.064 59.88 27.56 224 0.875 bicubic bilinear -51.481 -53.868 -51.001 -52.500 +9 -83
335 res2net50_48w_2s mixer_b16_224 25.027 25.121 74.973 74.879 42.208 41.227 57.792 58.773 25.29 59.88 224 0.875 bilinear bicubic -52.495 -51.481 -51.346 -51.001 -18 +8
336 efficientnet_b0 res2net50_48w_2s 25.015 25.027 74.985 74.973 42.787 42.208 57.213 57.792 5.29 25.29 224 0.875 bicubic bilinear -52.683 -52.495 -50.745 -51.346 -26 -20
337 gluon_resnet34_v1b efficientnet_b0 24.939 25.015 75.061 74.985 42.243 42.787 57.757 57.213 21.80 5.29 224 0.875 bicubic -49.649 -52.683 -49.747 -50.745 +41 -28
338 mobilenetv2_120d gluon_resnet34_v1b 24.937 24.939 75.063 75.061 43.058 42.243 56.942 57.757 5.83 21.80 224 0.875 bicubic -52.347 -49.649 -50.434 -49.747 -12 +43
339 dla60 mobilenetv2_120d 24.933 24.937 75.067 75.063 43.296 43.058 56.704 56.942 22.04 5.83 224 0.875 bilinear bicubic -52.099 -52.347 -50.022 -50.434 -6 -14
340 regnety_016 dla60 24.811 24.933 75.189 75.067 42.616 43.296 57.384 56.704 11.20 22.04 224 0.875 bicubic bilinear -53.051 -52.099 -51.104 -50.022 -35 -8
341 tf_efficientnet_lite2 regnety_016 24.530 24.811 75.470 75.189 42.280 42.616 57.720 57.384 6.09 11.20 260 224 0.890 0.875 bicubic -52.938 -53.051 -51.474 -51.104 -22 -36
342 skresnet18 tf_efficientnet_lite2 24.483 24.530 75.517 75.470 42.536 42.280 57.464 57.720 11.96 6.09 224 260 0.875 0.890 bicubic -48.555 -52.938 -48.632 -51.474 +49 -24
343 regnetx_016 skresnet18 24.473 24.483 75.527 75.517 42.514 42.536 57.486 57.464 9.19 11.96 224 0.875 bicubic -52.477 -48.555 -50.906 -48.632 -9 +51
344 pit_ti_distilled_224 regnetx_016 24.406 24.473 75.594 75.527 42.730 42.514 57.270 57.486 5.10 9.19 224 0.900 0.875 bicubic -50.124 -52.477 -49.366 -50.906 +35 -11
345 tf_efficientnet_lite0 pit_ti_distilled_224 24.373 24.406 75.627 75.594 42.487 42.730 57.513 57.270 4.65 5.10 224 0.875 0.900 bicubic -50.457 -50.124 -49.689 -49.366 +28 +37
346 hardcorenas_a tf_efficientnet_lite0 24.369 24.373 75.631 75.627 43.284 42.487 56.716 57.513 5.26 4.65 224 0.875 bilinear bicubic -51.547 -50.457 -49.230 -49.689 +8 +30
347 resnetv2_50x1_bitm hardcorenas_a 24.233 24.369 75.767 75.631 43.477 43.284 56.523 56.716 25.55 5.26 480 224 1.000 0.875 bilinear -55.939 -51.547 -52.149 -49.230 -149 +9
348 tv_resnet50 24.070 75.930 41.313 58.687 25.56 224 0.875 bilinear -52.068 -51.551 +4
349 levit_128s 24.058 75.942 41.007 58.993 7.78 224 0.900 bicubic -52.472 -51.859 -2
350 legacy_seresnet34 24.027 75.973 41.909 58.091 21.96 224 0.875 bilinear -50.781 -50.215 +24 +27
351 resnet18d 23.929 76.071 42.300 57.700 11.71 224 0.875 bicubic -48.331 -48.396 +47 +50
352 efficientnet_lite0 23.909 76.091 42.088 57.912 4.65 224 0.875 bicubic -51.575 -50.422 +10 +12
353 tv_densenet121 23.844 76.156 41.925 58.075 7.98 224 0.875 bicubic -50.894 -50.225 +22 +25
354 efficientnet_es_pruned 23.828 76.172 41.995 58.005 5.44 224 0.875 bicubic -51.172 -50.453 +18 +21
355 mobilenetv2_140 23.712 76.288 41.477 58.523 6.11 224 0.875 bicubic -52.804 -51.519 -7
356 mixnet_m 23.710 76.290 41.141 58.859 5.01 224 0.875 bicubic -53.550 -52.284 -29 -30
357 dla34 23.669 76.331 41.551 58.449 15.74 224 0.875 bilinear -50.961 -50.527 +20 +23
358 legacy_seresnet50 23.651 76.349 40.091 59.909 28.09 224 0.875 bilinear -53.978 -53.657 -47 -48
359 ese_vovnet19b_dw 23.535 76.465 41.288 58.712 6.54 224 0.875 bicubic -53.263 -51.980 -20 -21
360 tf_mixnet_m 23.484 76.516 40.989 59.011 5.01 224 0.875 bicubic -53.458 -52.163 -25 -26
361 tv_resnet34 23.473 76.527 41.367 58.633 21.80 224 0.875 bilinear -49.839 -50.059 +27 +30
362 tf_efficientnet_em 23.359 76.641 40.404 59.596 6.90 240 0.882 bicubic -54.771 -53.640 -67 -69
363 selecsls42b 23.357 76.643 40.677 59.323 32.46 224 0.875 bicubic -53.817 -52.713 -35 -36
364 repvgg_b0 23.316 76.684 41.182 58.818 15.82 224 0.875 bilinear -51.837 -51.236 +2 +5
365 mobilenetv2_110d 23.066 76.934 40.716 59.284 4.52 224 0.875 bicubic -51.970 -51.470 +6 +9
366 vit_deit_tiny_distilled_patch16_224 deit_tiny_distilled_patch16_224 22.718 77.282 40.771 59.229 5.91 224 0.900 bicubic -51.792 -51.119 +14 +17
367 mobilenetv3_large_100 22.655 77.345 40.781 59.219 5.48 224 0.875 bicubic -53.111 -51.761 -11 -9
368 mobilenetv3_rw 22.630 77.370 40.374 59.626 5.48 224 0.875 bicubic -53.004 -52.334 -10 -8
369 tf_mobilenetv3_large_100 22.569 77.431 39.767 60.233 5.48 224 0.875 bilinear -52.949 -52.839 -9 -7
370 tf_efficientnet_es 22.413 77.587 39.095 60.905 5.44 224 0.875 bicubic -54.180 -54.107 -26
371 hrnet_w18_small_v2 22.337 77.663 39.861 60.139 15.60 224 0.875 bilinear -52.777 -52.555 -3 0
372 convit_tiny 22.282 77.718 39.669 60.331 5.71 224 0.875 bicubic -50.834 -52.045 +18 +21
373 regnety_008 22.119 77.881 38.900 61.100 6.26 224 0.875 bicubic -54.197 -54.166 -22
374 seresnext26t_32x4d 21.991 78.009 38.482 61.518 16.81 224 0.875 bicubic -55.995 -55.264 -74 -75
375 regnety_006 21.971 78.029 38.955 61.045 6.06 224 0.875 bicubic -53.275 -53.577 -10 -7
376 regnetx_008 vit_tiny_r_s16_p8_384 21.940 21.954 78.060 78.046 38.928 39.405 61.072 60.595 7.26 6.36 224 384 0.875 1.000 bicubic -53.098 -53.998 -53.408 -53.855 -6 -21
377 resnet26d regnetx_008 21.907 21.940 78.094 78.060 38.619 38.928 61.381 61.072 16.01 7.26 224 0.875 bicubic -54.789 -53.098 -54.531 -53.408 -36 -4
378 semnasnet_100 resnet26d 21.903 21.907 78.097 78.094 38.600 38.619 61.400 61.381 3.89 16.01 224 0.875 bicubic -53.545 -54.789 -54.004 -54.531 -15 -38
379 pit_ti_224 semnasnet_100 21.875 21.903 78.125 78.097 39.541 38.600 60.459 61.400 4.85 3.89 224 0.900 0.875 bicubic -51.037 -53.545 -51.861 -54.004 +14 -13
380 regnetx_006 pit_ti_224 21.738 21.875 78.263 78.125 38.904 39.541 61.096 60.459 6.20 4.85 224 0.875 0.900 bicubic -52.115 -51.037 -52.768 -51.861 +5 +16
381 vgg19_bn regnetx_006 21.628 21.738 78.373 78.263 39.283 38.904 60.717 61.096 143.68 6.20 224 0.875 bilinear bicubic -52.587 -52.115 -52.559 -52.768 0 +7
382 ghostnet_100 vit_tiny_patch16_384 21.620 21.708 78.380 78.292 38.692 39.329 61.308 60.671 5.18 5.79 224 384 0.875 1.000 bilinear bicubic -52.358 -56.722 -52.764 -55.213 +2 -103
383 gluon_resnet18_v1b vgg19_bn 21.549 21.628 78.451 78.373 38.869 39.283 61.131 60.717 11.69 143.68 224 0.875 bicubic bilinear -49.287 -52.587 -50.893 -52.559 +22 +1
384 fbnetc_100 ghostnet_100 21.484 21.620 78.516 78.380 38.161 38.692 61.839 61.308 5.57 5.18 224 0.875 bilinear -53.640 -52.358 -54.224 -52.764 -17 +3
385 mnasnet_100 gluon_resnet18_v1b 21.350 21.549 78.650 78.451 37.719 38.869 62.281 61.131 4.38 11.69 224 0.875 bicubic -53.308 -49.287 -54.395 -50.893 -9 +24
386 resnet26 fbnetc_100 21.295 21.484 78.705 78.516 38.018 38.161 61.982 61.839 16.00 5.57 224 0.875 bicubic bilinear -53.997 -53.640 -54.552 -54.224 -22 -16
387 ssl_resnet18 mnasnet_100 21.278 21.350 78.722 78.650 39.113 37.719 60.887 62.281 11.69 4.38 224 0.875 bilinear bicubic -51.332 -53.308 -52.303 -54.395 +7 -8
388 mixnet_s resnet26 21.254 21.295 78.746 78.705 38.187 38.018 61.813 61.982 4.13 16.00 224 0.875 bicubic -54.738 -53.997 -54.609 -54.552 -35 -21
389 seresnext26d_32x4d ssl_resnet18 21.252 21.278 78.748 78.722 37.311 39.113 62.689 60.887 16.81 11.69 224 0.875 bicubic bilinear -56.350 -51.332 -56.297 -52.303 -76 +8
390 legacy_seresnext26_32x4d mixnet_s 21.093 21.254 78.907 78.746 37.633 38.187 62.367 61.813 16.79 4.13 224 0.875 bicubic -56.011 -54.738 -55.683 -54.609 -60 -37
391 regnetx_004 seresnext26d_32x4d 20.898 21.252 79.102 78.748 37.566 37.311 62.434 62.689 5.16 16.81 224 0.875 bicubic -51.498 -56.350 -53.264 -56.297 +4 -79
392 spnasnet_100 legacy_seresnext26_32x4d 20.863 21.093 79.137 78.907 37.896 37.633 62.104 62.367 4.42 16.79 224 0.875 bilinear bicubic -53.221 -56.011 -53.922 -55.683 -10 -63
393 legacy_seresnet18 regnetx_004 20.837 20.898 79.162 79.102 37.619 37.566 62.381 62.434 11.78 5.16 224 0.875 bicubic -50.905 -51.498 -52.715 -53.264 +9 +5
394 mobilenetv2_100 spnasnet_100 20.773 20.863 79.227 79.137 37.759 37.896 62.241 62.104 3.50 4.42 224 0.875 bicubic bilinear -52.197 -53.221 -53.257 -53.922 -2 -9
395 legacy_seresnet18 20.837 79.162 37.619 62.381 11.78 224 0.875 bicubic -50.905 -52.715 +11
396 mobilenetv2_100 20.773 79.227 37.759 62.241 3.50 224 0.875 bicubic -52.197 -53.257 -1
397 tf_mixnet_s 20.470 79.530 36.607 63.393 4.13 224 0.875 bicubic -55.180 -56.021 -38
398 vit_tiny_patch16_224 20.458 79.542 37.597 62.403 5.72 224 0.900 bicubic -54.996 -55.251 -33
399 regnety_004 20.415 79.585 37.002 62.998 4.34 224 0.875 bicubic -53.619 -54.750 -13
400 hrnet_w18_small 20.368 79.632 37.093 62.907 13.19 224 0.875 bilinear -51.976 -51.974 -53.585 0
401 tf_mobilenetv3_large_075 20.366 79.634 36.764 63.236 3.99 224 0.875 bilinear -53.072 -54.586 -12
402 resnet18 20.228 79.772 37.261 62.739 11.69 224 0.875 bilinear -49.520 -51.817 +10 +11
403 mixer_l16_224 20.171 79.829 32.956 67.044 208.20 224 0.875 bicubic -51.887 -54.712 +1
404 vit_deit_tiny_patch16_224 deit_tiny_patch16_224 20.162 79.838 37.546 62.454 5.72 224 0.900 bicubic -52.007 -53.572 -1
405 tf_mobilenetv3_large_minimal_100 20.122 79.878 36.908 63.092 3.92 224 0.875 bilinear -52.126 -53.722 -3
406 vgg16_bn 19.959 80.041 36.301 63.699 138.37 224 0.875 bilinear -53.391 -55.205 -16
407 vgg19 vit_tiny_r_s16_p8_224 17.929 19.334 82.071 80.666 33.054 36.047 66.946 63.953 143.67 6.34 224 0.875 0.900 bilinear bicubic -54.439 -52.454 -57.818 -54.781 -8 -2
408 vgg19 17.929 82.071 33.054 66.946 143.67 224 0.875 bilinear -54.439 -57.818 -9
409 vgg13_bn 17.802 82.198 34.039 65.961 133.05 224 0.875 bilinear -53.792 -56.337 -2
410 vgg16 17.540 82.460 32.773 67.227 138.36 224 0.875 bilinear -54.054 -57.609 -2
411 regnety_002 17.450 82.550 32.431 67.569 3.16 224 0.875 bicubic -52.802 -57.109 0
416 vgg13 16.100 83.900 30.985 69.015 133.05 224 0.875 bilinear -53.826 -58.261 -4
417 vgg11 15.728 84.272 30.453 69.547 132.86 224 0.875 bilinear -53.296 -58.175 -3
418 tf_mobilenetv3_small_075 14.944 85.056 29.572 70.428 2.04 224 0.875 bilinear -50.772 -56.558 +1
419 dla46_c 14.657 85.343 29.380 70.620 1.30 224 0.875 bilinear -50.207 -50.209 -56.912 +1
420 dla46x_c 14.382 85.618 29.191 70.809 1.07 224 0.875 bilinear -51.588 -57.789 -2
421 tf_mobilenetv3_small_minimal_100 13.964 86.036 27.988 72.012 2.04 224 0.875 bilinear -48.942 -56.242 0
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