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Merge branch 'master' into imagenet21k_datasets_more

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Ross Wightman 4 years ago
parent e553480b67 fc3d9183e8
commit 59ec7e6a53
18 changed files with 2183 additions and 2001 deletions
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25
README.md
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@ -2,6 +2,12 @@
## What's New
### Jan 3, 2021
* Add SE-ResNet-152D weights
* 256x256 val, 0.94 crop top-1 - 83.75
* 320x320 val, 1.0 crop - 84.36
* Update [results files](results/)
### Dec 18, 2020
* Add ResNet-101D, ResNet-152D, and ResNet-200D weights trained @ 256x256
* 256x256 val, 0.94 crop (top-1) - 101D (82.33), 152D (83.08), 200D (83.25)
@ -255,3 +261,22 @@ So far all of the pretrained weights available here are pretrained on ImageNet w
#### Pretrained on more than ImageNet
Several weights included or references here were pretrained with proprietary datasets that I do not have access to. These include the Facebook WSL, SSL, SWSL ResNe(Xt) and the Google Noisy Student EfficientNet models. The Facebook models have an explicit non-commercial license (CC-BY-NC 4.0, https://github.com/facebookresearch/semi-supervised-ImageNet1K-models, https://github.com/facebookresearch/WSL-Images). The Google models do not appear to have any restriction beyond the Apache 2.0 license (and ImageNet concerns). In either case, you should contact Facebook or Google with any questions.
## Citing
### BibTeX
```
@misc{rw2019timm,
author = {Ross Wightman},
title = {PyTorch Image Models},
year = {2019},
publisher = {GitHub},
journal = {GitHub repository},
doi = {10.5281/zenodo.4414861},
howpublished = {\url{https://github.com/rwightman/pytorch-image-models}}
}
```
### Latest DOI
[![DOI](https://zenodo.org/badge/168799526.svg)](https://zenodo.org/badge/latestdoi/168799526)

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inference.py
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@ -33,6 +33,8 @@ parser.add_argument('-b', '--batch-size', default=256, type=int,
metavar='N', help='mini-batch size (default: 256)')
parser.add_argument('--img-size', default=None, type=int,
metavar='N', help='Input image dimension')
parser.add_argument('--input-size', default=None, nargs=3, type=int,
metavar='N N N', help='Input all image dimensions (d h w, e.g. --input-size 3 224 224), uses model default if empty')
parser.add_argument('--mean', type=float, nargs='+', default=None, metavar='MEAN',
help='Override mean pixel value of dataset')
parser.add_argument('--std', type=float, nargs='+', default=None, metavar='STD',

437
results/results-imagenet-a-clean.csv
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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
tf_efficientnet_b7_ns,97.910,2.090,99.720,0.280,66.35,600,0.949,bicubic
tf_efficientnet_l2_ns,98.540,1.460,99.820,0.180,480.31,800,0.960,bicubic
tf_efficientnet_l2_ns_475,98.490,1.510,99.830,0.170,480.31,475,0.936,bicubic
tf_efficientnet_b7_ns,97.880,2.120,99.720,0.280,66.35,600,0.949,bicubic
ig_resnext101_32x48d,97.640,2.360,99.700,0.300,828.41,224,0.875,bilinear
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
tf_efficientnet_b5_ns,97.500,2.500,99.630,0.370,30.39,456,0.934,bicubic
tf_efficientnet_b5_ns,97.490,2.510,99.630,0.370,30.39,456,0.934,bicubic
resnetv2_152x4_bitm,97.480,2.520,99.610,0.390,936.53,480,1.000,bilinear
ig_resnext101_32x32d,97.360,2.640,99.680,0.320,468.53,224,0.875,bilinear
swsl_resnext101_32x8d,97.200,2.800,99.570,0.430,88.79,224,0.875,bilinear
tf_efficientnet_b8,97.210,2.790,99.500,0.500,87.41,672,0.954,bicubic
tf_efficientnet_b7_ap,97.200,2.800,99.540,0.460,66.35,600,0.949,bicubic
tf_efficientnet_b8,97.200,2.800,99.500,0.500,87.41,672,0.954,bicubic
swsl_resnext101_32x8d,97.190,2.810,99.570,0.430,88.79,224,0.875,bilinear
vit_base_resnet50_384,97.180,2.820,99.560,0.440,98.95,384,1.000,bicubic
resnetv2_152x2_bitm,97.130,2.870,99.590,0.410,236.34,480,1.000,bilinear
vit_large_patch16_384,97.120,2.880,99.640,0.360,304.72,384,1.000,bicubic
tf_efficientnet_b8_ap,97.110,2.890,99.660,0.340,87.41,672,0.954,bicubic
vit_large_patch16_384,97.110,2.890,99.640,0.360,304.72,384,1.000,bicubic
tf_efficientnet_b6_ap,97.080,2.920,99.620,0.380,43.04,528,0.942,bicubic
resnetv2_101x3_bitm,97.080,2.920,99.510,0.490,387.93,480,1.000,bilinear
tf_efficientnet_b7,97.010,2.990,99.520,0.480,66.35,600,0.949,bicubic
tf_efficientnet_b4_ns,96.950,3.050,99.580,0.420,19.34,380,0.922,bicubic
ig_resnext101_32x16d,96.820,3.180,99.590,0.410,194.03,224,0.875,bilinear
vit_base_patch16_384,96.700,3.300,99.510,0.490,86.86,384,1.000,bicubic
tf_efficientnet_b5_ap,96.680,3.320,99.460,0.540,30.39,456,0.934,bicubic
tf_efficientnet_b4_ns,96.930,3.070,99.580,0.420,19.34,380,0.922,bicubic
ig_resnext101_32x16d,96.830,3.170,99.590,0.410,194.03,224,0.875,bilinear
resnetv2_50x3_bitm,96.780,3.220,99.420,0.580,217.32,480,1.000,bilinear
seresnet152d_320,96.770,3.230,99.450,0.550,66.84,320,1.000,bicubic
resnet200d_320,96.740,3.260,99.340,0.660,64.69,320,1.000,bicubic
vit_base_patch16_384,96.710,3.290,99.510,0.490,86.86,384,1.000,bicubic
tf_efficientnet_b5_ap,96.690,3.310,99.460,0.540,30.39,456,0.934,bicubic
tf_efficientnet_b6,96.670,3.330,99.370,0.630,43.04,528,0.942,bicubic
resnest200e,96.610,3.390,99.350,0.650,70.20,320,0.909,bicubic
resnest200e,96.620,3.380,99.350,0.650,70.20,320,0.909,bicubic
swsl_resnext101_32x16d,96.600,3.400,99.520,0.480,194.03,224,0.875,bilinear
seresnet152d,96.570,3.430,99.400,0.600,66.84,256,0.940,bicubic
resnest269e,96.520,3.480,99.350,0.650,110.93,416,0.928,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
tf_efficientnet_b5,96.350,3.650,99.310,0.690,30.39,456,0.934,bicubic
ig_resnext101_32x8d,96.320,3.680,99.430,0.570,88.79,224,0.875,bilinear
tf_efficientnet_b4_ap,96.160,3.840,99.280,0.720,19.34,380,0.922,bicubic
tresnet_xl_448,95.970,4.030,99.130,0.870,78.44,448,0.875,bilinear
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
resnest101e,95.860,4.140,99.210,0.790,48.28,256,0.875,bilinear
swsl_resnext101_32x4d,96.410,3.590,99.470,0.530,44.18,224,0.875,bilinear
tf_efficientnet_b3_ns,96.370,3.630,99.350,0.650,12.23,300,0.904,bicubic
resnet152d_320,96.350,3.650,99.390,0.610,60.21,320,1.000,bicubic
tf_efficientnet_b5,96.340,3.660,99.310,0.690,30.39,456,0.934,bicubic
ig_resnext101_32x8d,96.310,3.690,99.430,0.570,88.79,224,0.875,bilinear
resnet101d_320,96.290,3.710,99.230,0.770,44.57,320,1.000,bicubic
resnet200d,96.290,3.710,99.250,0.750,64.69,256,0.940,bicubic
tf_efficientnet_b4_ap,96.170,3.830,99.280,0.720,19.34,380,0.922,bicubic
resnetv2_101x1_bitm,96.070,3.930,99.300,0.700,44.54,480,1.000,bilinear
resnet152d,95.990,4.010,99.260,0.740,60.21,256,0.940,bicubic
tresnet_xl_448,95.970,4.030,99.120,0.880,78.44,448,0.875,bilinear
vit_large_patch16_224,95.940,4.060,99.240,0.760,304.33,224,0.900,bicubic
resnet101d,95.930,4.070,99.070,0.930,44.57,256,0.940,bicubic
tf_efficientnet_b4,95.890,4.110,99.170,0.830,19.34,380,0.922,bicubic
swsl_resnext50_32x4d,95.880,4.120,99.250,0.750,25.03,224,0.875,bilinear
tresnet_l_448,95.860,4.140,99.120,0.880,55.99,448,0.875,bilinear
vit_large_patch32_384,95.830,4.170,99.150,0.850,306.63,384,1.000,bicubic
resnest101e,95.850,4.150,99.210,0.790,48.28,256,0.875,bilinear
ssl_resnext101_32x16d,95.810,4.190,99.180,0.820,194.03,224,0.875,bilinear
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
tf_efficientnet_b2_ns,95.770,4.230,99.120,0.880,9.11,260,0.890,bicubic
efficientnet_b3a,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
tf_efficientnet_b2_ns,95.740,4.260,99.120,0.880,9.11,260,0.890,bicubic
efficientnet_b3a,95.720,4.280,99.040,0.960,12.23,320,1.000,bicubic
nasnetalarge,95.680,4.320,98.930,1.070,88.75,331,0.911,bicubic
efficientnet_b3,95.580,4.420,99.100,0.900,12.23,300,0.904,bicubic
ecaresnet101d,95.530,4.470,99.130,0.870,44.57,224,0.875,bicubic
ecaresnet101d,95.540,4.460,99.130,0.870,44.57,224,0.875,bicubic
ssl_resnext101_32x8d,95.470,4.530,99.110,0.890,88.79,224,0.875,bilinear
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
swsl_resnet50,95.410,4.590,99.290,0.710,25.56,224,0.875,bilinear
regnety_032,95.360,4.640,99.080,0.920,19.44,224,0.875,bicubic
tresnet_xl,95.440,4.560,99.060,0.940,78.44,224,0.875,bilinear
ssl_resnext101_32x4d,95.430,4.570,99.130,0.870,44.18,224,0.875,bilinear
swsl_resnet50,95.410,4.590,99.280,0.720,25.56,224,0.875,bilinear
regnety_032,95.360,4.640,99.100,0.900,19.44,224,0.875,bicubic
vit_base_patch16_224,95.340,4.660,99.000,1.000,86.57,224,0.900,bicubic
tf_efficientnet_b3_ap,95.320,4.680,98.900,1.100,12.23,300,0.904,bicubic
tresnet_l,95.290,4.710,99.010,0.990,55.99,224,0.875,bilinear
tf_efficientnet_b1_ns,95.170,4.830,99.110,0.890,7.79,240,0.882,bicubic
wide_resnet50_2,95.080,4.920,98.970,1.030,68.88,224,0.875,bicubic
ecaresnet101d_pruned,95.080,4.920,98.980,1.020,24.88,224,0.875,bicubic
legacy_senet154,95.070,4.930,98.830,1.170,115.09,224,0.875,bilinear
gluon_resnet152_v1s,95.040,4.960,98.930,1.070,60.32,224,0.875,bicubic
seresnext50_32x4d,95.040,4.960,98.880,1.120,27.56,224,0.875,bicubic
ecaresnet101d_pruned,95.070,4.930,98.980,1.020,24.88,224,0.875,bicubic
wide_resnet50_2,95.070,4.930,98.970,1.030,68.88,224,0.875,bicubic
legacy_senet154,95.060,4.940,98.830,1.170,115.09,224,0.875,bilinear
gluon_resnet152_v1s,95.050,4.950,98.930,1.070,60.32,224,0.875,bicubic
resnetv2_50x1_bitm,95.040,4.960,99.160,0.840,25.55,480,1.000,bilinear
seresnext50_32x4d,95.040,4.960,98.890,1.110,27.56,224,0.875,bicubic
tf_efficientnet_b3,95.010,4.990,98.910,1.090,12.23,300,0.904,bicubic
tresnet_m_448,94.990,5.010,98.980,1.020,31.39,448,0.875,bilinear
resnest50d_4s2x40d,94.960,5.040,99.070,0.930,30.42,224,0.875,bicubic
rexnet_200,94.940,5.060,99.010,0.990,16.37,224,0.875,bicubic
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
resnest50d_4s2x40d,94.950,5.050,99.070,0.930,30.42,224,0.875,bicubic
gluon_seresnext101_64x4d,94.950,5.050,98.820,1.180,88.23,224,0.875,bicubic
gluon_senet154,94.930,5.070,98.770,1.230,115.09,224,0.875,bicubic
rexnet_200,94.930,5.070,99.000,1.000,16.37,224,0.875,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
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
efficientnet_b2,94.700,5.300,98.670,1.330,9.11,260,0.875,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
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
tresnet_m,94.620,5.380,98.550,1.450,31.39,224,0.875,bilinear
efficientnet_b2a,94.610,5.390,98.710,1.290,9.11,288,1.000,bicubic
tf_efficientnet_el,94.590,5.410,98.750,1.250,10.59,300,0.904,bicubic
seresnet50,94.550,5.450,98.750,1.250,28.09,224,0.875,bicubic
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
ssl_resnext50_32x4d,94.860,5.140,98.870,1.130,25.03,224,0.875,bilinear
tf_efficientnet_lite4,94.860,5.140,99.020,0.980,13.01,380,0.920,bilinear
resnest50d,94.820,5.180,98.880,1.120,27.48,224,0.875,bilinear
ecaresnetlight,94.780,5.220,98.800,1.200,30.16,224,0.875,bicubic
resnest50d_1s4x24d,94.760,5.240,98.980,1.020,25.68,224,0.875,bicubic
gluon_resnet152_v1d,94.750,5.250,98.740,1.260,60.21,224,0.875,bicubic
efficientnet_b2,94.710,5.290,98.670,1.330,9.11,260,0.875,bicubic
gluon_resnet101_v1s,94.700,5.300,98.820,1.180,44.67,224,0.875,bicubic
cspdarknet53,94.670,5.330,98.810,1.190,27.64,256,0.887,bilinear
gluon_resnext101_64x4d,94.640,5.360,98.660,1.340,83.46,224,0.875,bicubic
efficientnet_b2a,94.630,5.370,98.710,1.290,9.11,288,1.000,bicubic
efficientnet_b3_pruned,94.620,5.380,98.770,1.230,9.86,300,0.904,bicubic
ecaresnet50d,94.620,5.380,98.890,1.110,25.58,224,0.875,bicubic
tf_efficientnet_el,94.610,5.390,98.750,1.250,10.59,300,0.904,bicubic
tresnet_m,94.610,5.390,98.550,1.450,31.39,224,0.875,bilinear
seresnet50,94.560,5.440,98.750,1.250,28.09,224,0.875,bicubic
regnety_320,94.550,5.450,98.840,1.160,145.05,224,0.875,bicubic
gluon_resnext101_32x4d,94.520,5.480,98.630,1.370,44.18,224,0.875,bicubic
ssl_resnet50,94.490,5.510,98.920,1.080,25.56,224,0.875,bilinear
tf_efficientnet_b2_ap,94.490,5.510,98.620,1.380,9.11,260,0.890,bicubic
rexnet_150,94.480,5.520,98.790,1.210,9.73,224,0.875,bicubic
regnety_120,94.480,5.520,98.810,1.190,51.82,224,0.875,bicubic
cspresnext50,94.480,5.520,98.680,1.320,20.57,224,0.875,bilinear
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
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
regnety_160,94.340,5.660,98.850,1.150,83.59,224,0.875,bicubic
gluon_seresnext50_32x4d,94.340,5.660,98.610,1.390,27.56,224,0.875,bicubic
regnety_120,94.480,5.520,98.810,1.190,51.82,224,0.875,bicubic
rexnet_150,94.470,5.530,98.790,1.210,9.73,224,0.875,bicubic
regnetx_320,94.440,5.560,98.730,1.270,107.81,224,0.875,bicubic
tf_efficientnet_b2,94.370,5.630,98.610,1.390,9.11,260,0.890,bicubic
legacy_seresnext101_32x4d,94.360,5.640,98.640,1.360,48.96,224,0.875,bilinear
gluon_seresnext50_32x4d,94.350,5.650,98.620,1.380,27.56,224,0.875,bicubic
regnety_160,94.350,5.650,98.850,1.150,83.59,224,0.875,bicubic
dpn107,94.310,5.690,98.480,1.520,86.92,224,0.875,bicubic
xception71,94.280,5.720,98.640,1.360,42.34,299,0.903,bicubic
xception71,94.290,5.710,98.640,1.360,42.34,299,0.903,bicubic
resnet50d,94.270,5.730,98.720,1.280,25.58,224,0.875,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
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
gluon_resnet101_v1d,94.220,5.780,98.550,1.450,44.57,224,0.875,bicubic
ecaresnet50d_pruned,94.220,5.780,98.730,1.270,19.94,224,0.875,bicubic
tf_efficientnet_lite3,94.200,5.800,98.640,1.360,8.20,300,0.904,bilinear
skresnext50_32x4d,94.260,5.740,98.470,1.530,27.48,224,0.875,bicubic
regnetx_120,94.240,5.760,98.670,1.330,46.11,224,0.875,bicubic
dpn92,94.220,5.780,98.730,1.270,37.67,224,0.875,bicubic
ecaresnet50d_pruned,94.210,5.790,98.730,1.270,19.94,224,0.875,bicubic
gluon_resnet101_v1d,94.200,5.800,98.560,1.440,44.57,224,0.875,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
regnety_080,94.170,5.830,98.680,1.320,39.18,224,0.875,bicubic
ens_adv_inception_resnet_v2,94.160,5.840,98.600,1.400,55.84,299,0.897,bicubic
resnext50d_32x4d,94.190,5.810,98.580,1.420,25.05,224,0.875,bicubic
tf_efficientnet_lite3,94.190,5.810,98.640,1.360,8.20,300,0.904,bilinear
regnety_080,94.180,5.820,98.680,1.320,39.18,224,0.875,bicubic
gluon_resnet152_v1c,94.160,5.840,98.640,1.360,60.21,224,0.875,bicubic
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
efficientnet_b2_pruned,94.140,5.860,98.520,1.480,8.31,260,0.890,bicubic
dpn98,94.130,5.870,98.570,1.430,61.57,224,0.875,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
regnetx_160,94.120,5.880,98.740,1.260,54.28,224,0.875,bicubic
resnext50_32x4d,94.110,5.890,98.350,1.650,25.03,224,0.875,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
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
gluon_resnet152_v1b,94.090,5.910,98.450,1.550,60.19,224,0.875,bicubic
dpn131,94.000,6.000,98.720,1.280,79.25,224,0.875,bicubic
hrnet_w64,93.990,6.010,98.610,1.390,128.06,224,0.875,bilinear
dla102x2,93.950,6.050,98.490,1.510,41.28,224,0.875,bilinear
hrnet_w48,93.920,6.080,98.610,1.390,77.47,224,0.875,bilinear
resnetblur50,93.950,6.050,98.590,1.410,25.56,224,0.875,bicubic
hrnet_w48,93.940,6.060,98.610,1.390,77.47,224,0.875,bilinear
tf_efficientnet_cc_b1_8e,93.910,6.090,98.250,1.750,39.72,240,0.882,bicubic
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
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
gluon_resnext50_32x4d,93.810,6.190,98.410,1.590,25.03,224,0.875,bicubic
resnet50,93.810,6.190,98.390,1.610,25.56,224,0.875,bicubic
vit_base_patch16_224,93.800,6.200,98.470,1.530,86.54,224,0.900,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
res2net101_26w_4s,93.750,6.250,98.310,1.690,45.21,224,0.875,bilinear
gluon_resnet101_v1b,93.750,6.250,98.380,1.620,44.55,224,0.875,bicubic
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
gluon_resnet101_v1c,93.670,6.330,98.420,1.580,44.57,224,0.875,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
regnetx_040,93.560,6.440,98.540,1.460,22.12,224,0.875,bicubic
hrnet_w44,93.550,6.450,98.700,1.300,67.06,224,0.875,bilinear
res2net50_26w_8s,93.540,6.460,98.260,1.740,48.40,224,0.875,bilinear
hrnet_w32,93.530,6.470,98.450,1.550,41.23,224,0.875,bilinear
dla102x,93.520,6.480,98.510,1.490,26.31,224,0.875,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
tf_efficientnet_em,93.480,6.520,98.440,1.560,6.90,240,0.882,bicubic
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
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
legacy_seresnet152,93.400,6.600,98.350,1.650,66.82,224,0.875,bilinear
regnetx_080,93.860,6.140,98.520,1.480,39.57,224,0.875,bicubic
regnety_040,93.860,6.140,98.640,1.360,20.65,224,0.875,bicubic
efficientnet_em,93.850,6.150,98.810,1.190,6.90,240,0.882,bicubic
gluon_resnext50_32x4d,93.820,6.180,98.410,1.590,25.03,224,0.875,bicubic
resnet50,93.810,6.190,98.380,1.620,25.56,224,0.875,bicubic
resnext101_32x8d,93.800,6.200,98.580,1.420,88.79,224,0.875,bilinear
gluon_resnet50_v1d,93.780,6.220,98.400,1.600,25.58,224,0.875,bicubic
xception65,93.770,6.230,98.360,1.640,39.92,299,0.903,bicubic
cspresnet50,93.750,6.250,98.630,1.370,21.62,256,0.887,bilinear
gluon_resnet101_v1b,93.730,6.270,98.400,1.600,44.55,224,0.875,bicubic
res2net101_26w_4s,93.730,6.270,98.320,1.680,45.21,224,0.875,bilinear
wide_resnet101_2,93.730,6.270,98.540,1.460,126.89,224,0.875,bilinear
legacy_seresnext50_32x4d,93.720,6.280,98.580,1.420,27.56,224,0.875,bilinear
tf_efficientnet_b1_ap,93.710,6.290,98.360,1.640,7.79,240,0.882,bicubic
dpn68b,93.680,6.320,98.520,1.480,12.61,224,0.875,bicubic
gluon_resnet101_v1c,93.670,6.330,98.410,1.590,44.57,224,0.875,bicubic
gluon_resnet50_v1s,93.630,6.370,98.470,1.530,25.68,224,0.875,bicubic
tf_efficientnet_b0_ns,93.620,6.380,98.640,1.360,5.29,224,0.875,bicubic
hrnet_w44,93.580,6.420,98.700,1.300,67.06,224,0.875,bilinear
regnetx_040,93.560,6.440,98.550,1.450,22.12,224,0.875,bicubic
res2net50_26w_8s,93.540,6.460,98.270,1.730,48.40,224,0.875,bilinear
hrnet_w32,93.520,6.480,98.430,1.570,41.23,224,0.875,bilinear
tf_efficientnet_b1,93.520,6.480,98.360,1.640,7.79,240,0.882,bicubic
dla102x,93.520,6.480,98.500,1.500,26.31,224,0.875,bilinear
tf_efficientnet_em,93.500,6.500,98.440,1.560,6.90,240,0.882,bicubic
hrnet_w40,93.490,6.510,98.590,1.410,57.56,224,0.875,bilinear
xception,93.470,6.530,98.530,1.470,22.86,299,0.897,bicubic
gluon_inception_v3,93.460,6.540,98.560,1.440,23.83,299,0.875,bicubic
mixnet_l,93.430,6.570,98.220,1.780,7.33,224,0.875,bicubic
legacy_seresnet152,93.420,6.580,98.350,1.650,66.82,224,0.875,bilinear
xception41,93.410,6.590,98.420,1.580,26.97,299,0.903,bicubic
res2net50_26w_6s,93.400,6.600,98.280,1.720,37.05,224,0.875,bilinear
resnest26d,93.370,6.630,98.640,1.360,17.07,224,0.875,bilinear
dla169,93.340,6.660,98.600,1.400,53.39,224,0.875,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
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_b1,93.260,6.740,98.170,1.830,7.79,240,0.875,bicubic
hrnet_w30,93.200,6.800,98.410,1.590,37.71,224,0.875,bilinear
tf_inception_v3,93.330,6.670,98.040,1.960,23.83,299,0.875,bicubic
tv_resnet152,93.320,6.680,98.390,1.610,60.19,224,0.875,bilinear
tf_mixnet_l,93.300,6.700,98.030,1.970,7.33,224,0.875,bicubic
legacy_seresnet101,93.290,6.710,98.500,1.500,49.33,224,0.875,bilinear
selecsls60b,93.290,6.710,98.280,1.720,32.77,224,0.875,bicubic
efficientnet_b1,93.270,6.730,98.190,1.810,7.79,240,0.875,bicubic
hrnet_w30,93.210,6.790,98.410,1.590,37.71,224,0.875,bilinear
efficientnet_es,93.200,6.800,98.410,1.590,5.44,224,0.875,bicubic
dla60_res2next,93.180,6.820,98.410,1.590,17.03,224,0.875,bilinear
dla60_res2net,93.180,6.820,98.420,1.580,20.85,224,0.875,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
dla60_res2net,93.150,6.850,98.420,1.580,20.85,224,0.875,bilinear
regnetx_032,93.120,6.880,98.390,1.610,15.30,224,0.875,bicubic
seresnext26t_32x4d,93.070,6.930,98.110,1.890,16.82,224,0.875,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
dla60x,93.100,6.900,98.490,1.510,17.35,224,0.875,bilinear
dla102,93.090,6.910,98.550,1.450,33.27,224,0.875,bilinear
seresnext26t_32x4d,93.060,6.940,98.100,1.900,16.82,224,0.875,bicubic
selecsls60,93.050,6.950,98.300,1.700,30.67,224,0.875,bicubic
gluon_resnet50_v1c,93.030,6.970,98.370,1.630,25.58,224,0.875,bicubic
regnety_016,93.030,6.970,98.360,1.640,11.20,224,0.875,bicubic
rexnet_100,93.030,6.970,98.190,1.810,4.80,224,0.875,bicubic
selecsls60,93.030,6.970,98.300,1.700,30.67,224,0.875,bicubic
legacy_seresnet50,92.960,7.040,98.190,1.810,28.09,224,0.875,bilinear
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
seresnext26tn_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
legacy_seresnet50,92.950,7.050,98.190,1.810,28.09,224,0.875,bilinear
adv_inception_v3,92.890,7.110,98.130,1.870,23.83,299,0.875,bicubic
res2next50,92.830,7.170,98.170,1.830,24.67,224,0.875,bilinear
tf_efficientnet_cc_b0_8e,92.820,7.180,98.180,1.820,24.01,224,0.875,bicubic
seresnext26tn_32x4d,92.810,7.190,98.370,1.630,16.81,224,0.875,bicubic
tv_resnet101,92.800,7.200,98.230,1.770,44.55,224,0.875,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
inception_v3,92.720,7.280,97.970,2.030,23.83,299,0.875,bicubic
seresnext26d_32x4d,92.700,7.300,98.150,1.850,16.81,224,0.875,bicubic
efficientnet_b0,92.690,7.310,98.070,1.930,5.29,224,0.875,bicubic
resnet34d,92.680,7.320,98.310,1.690,21.82,224,0.875,bicubic
tf_efficientnet_lite2,92.650,7.350,98.230,1.770,6.09,260,0.890,bicubic
legacy_seresnext26_32x4d,92.640,7.360,98.130,1.870,16.79,224,0.875,bicubic
vit_small_patch16_224,92.770,7.230,97.930,2.070,48.75,224,0.900,bicubic
tv_resnext50_32x4d,92.760,7.240,98.270,1.730,25.03,224,0.875,bilinear
densenet201,92.750,7.250,98.240,1.760,20.01,224,0.875,bicubic
seresnext26d_32x4d,92.730,7.270,98.150,1.850,16.81,224,0.875,bicubic
inception_v3,92.720,7.280,97.960,2.040,23.83,299,0.875,bicubic
res2net50_14w_8s,92.720,7.280,98.190,1.810,25.06,224,0.875,bilinear
resnet34d,92.690,7.310,98.300,1.700,21.82,224,0.875,bicubic
efficientnet_b0,92.670,7.330,98.080,1.920,5.29,224,0.875,bicubic
tf_efficientnet_lite2,92.660,7.340,98.230,1.770,6.09,260,0.890,bicubic
legacy_seresnext26_32x4d,92.630,7.370,98.120,1.880,16.79,224,0.875,bicubic
tf_efficientnet_lite1,92.620,7.380,98.080,1.920,5.42,240,0.882,bicubic
tf_efficientnet_cc_b0_4e,92.590,7.410,98.080,1.920,13.31,224,0.875,bicubic
res2net50_48w_2s,92.550,7.450,98.080,1.920,25.29,224,0.875,bilinear
tf_efficientnet_es,92.550,7.450,98.280,1.720,5.44,224,0.875,bicubic
gluon_resnet50_v1b,92.540,7.460,98.170,1.830,25.56,224,0.875,bicubic
res2net50_26w_4s,92.500,7.500,98.060,1.940,25.70,224,0.875,bilinear
densenet161,92.500,7.500,98.290,1.710,28.68,224,0.875,bicubic
mixnet_m,92.430,7.570,97.870,2.130,5.01,224,0.875,bicubic
tf_efficientnet_cc_b0_4e,92.610,7.390,98.080,1.920,13.31,224,0.875,bicubic
res2net50_48w_2s,92.560,7.440,98.070,1.930,25.29,224,0.875,bilinear
tf_efficientnet_es,92.550,7.450,98.290,1.710,5.44,224,0.875,bicubic
gluon_resnet50_v1b,92.540,7.460,98.190,1.810,25.56,224,0.875,bicubic
res2net50_26w_4s,92.490,7.510,98.060,1.940,25.70,224,0.875,bilinear
densenet161,92.490,7.510,98.290,1.710,28.68,224,0.875,bicubic
mixnet_m,92.440,7.560,97.870,2.130,5.01,224,0.875,bicubic
mobilenetv2_120d,92.400,7.600,98.050,1.950,5.83,224,0.875,bicubic
skresnet34,92.390,7.610,98.150,1.850,22.28,224,0.875,bicubic
skresnet34,92.380,7.620,98.140,1.860,22.28,224,0.875,bicubic
tf_mixnet_m,92.330,7.670,97.890,2.110,5.01,224,0.875,bicubic
hrnet_w18,92.320,7.680,98.240,1.760,21.30,224,0.875,bilinear
ese_vovnet19b_dw,92.290,7.710,98.090,1.910,6.54,224,0.875,bicubic
selecsls42b,92.280,7.720,98.150,1.850,32.46,224,0.875,bicubic
tf_efficientnet_b0,92.250,7.750,98.000,2.000,5.29,224,0.875,bicubic
dla60,92.230,7.770,98.110,1.890,22.04,224,0.875,bilinear
tf_efficientnet_b0_ap,92.200,7.800,98.020,1.980,5.29,224,0.875,bicubic
hrnet_w18,92.310,7.690,98.240,1.760,21.30,224,0.875,bilinear
selecsls42b,92.300,7.700,98.150,1.850,32.46,224,0.875,bicubic
ese_vovnet19b_dw,92.290,7.710,98.100,1.900,6.54,224,0.875,bicubic
tf_efficientnet_b0,92.230,7.770,98.000,2.000,5.29,224,0.875,bicubic
tf_efficientnet_b0_ap,92.220,7.780,98.020,1.980,5.29,224,0.875,bicubic
dla60,92.220,7.780,98.110,1.890,22.04,224,0.875,bilinear
regnetx_016,92.170,7.830,98.210,1.790,9.19,224,0.875,bicubic
resnet26d,92.070,7.930,97.960,2.040,16.01,224,0.875,bicubic
dpn68,92.010,7.990,98.050,1.950,12.61,224,0.875,bicubic
densenet169,91.930,8.070,98.100,1.900,14.15,224,0.875,bicubic
densenetblur121d,91.910,8.090,98.070,1.930,8.00,224,0.875,bicubic
resnet26d,92.050,7.950,97.950,2.050,16.01,224,0.875,bicubic
dpn68,92.010,7.990,98.040,1.960,12.61,224,0.875,bicubic
densenetblur121d,91.920,8.080,98.090,1.910,8.00,224,0.875,bicubic
densenet169,91.910,8.090,98.100,1.900,14.15,224,0.875,bicubic
tv_resnet50,91.880,8.120,98.040,1.960,25.56,224,0.875,bilinear
mobilenetv2_140,91.830,8.170,97.860,2.140,6.11,224,0.875,bicubic
mixnet_s,91.830,8.170,97.690,2.310,4.13,224,0.875,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
tf_mixnet_s,91.510,8.490,97.620,2.380,4.13,224,0.875,bicubic
mobilenetv2_140,91.820,8.180,97.860,2.140,6.11,224,0.875,bicubic
mixnet_s,91.820,8.180,97.690,2.310,4.13,224,0.875,bicubic
regnety_008,91.740,8.260,98.180,1.820,6.26,224,0.875,bicubic
resnest14d,91.740,8.260,97.870,2.130,10.61,224,0.875,bilinear
densenet121,91.560,8.440,98.020,1.980,7.98,224,0.875,bicubic
tf_mixnet_s,91.510,8.490,97.610,2.390,4.13,224,0.875,bicubic
regnety_006,91.370,8.630,97.710,2.290,6.06,224,0.875,bicubic
mobilenetv3_large_100,91.320,8.680,97.710,2.290,5.48,224,0.875,bicubic
semnasnet_100,91.280,8.720,97.560,2.440,3.89,224,0.875,bicubic
tf_mobilenetv3_large_100,91.240,8.760,97.660,2.340,5.48,224,0.875,bilinear
mobilenetv3_large_100,91.330,8.670,97.710,2.290,5.48,224,0.875,bicubic
semnasnet_100,91.290,8.710,97.570,2.430,3.89,224,0.875,bicubic
tf_mobilenetv3_large_100,91.230,8.770,97.660,2.340,5.48,224,0.875,bilinear
mobilenetv3_rw,91.210,8.790,97.660,2.340,5.48,224,0.875,bicubic
hrnet_w18_small_v2,91.190,8.810,97.900,2.100,15.60,224,0.875,bilinear
efficientnet_lite0,91.140,8.860,97.630,2.370,4.65,224,0.875,bicubic
resnet34,91.130,8.870,97.620,2.380,21.80,224,0.875,bilinear
resnet26,91.110,8.890,97.740,2.260,16.00,224,0.875,bicubic
efficientnet_lite0,91.170,8.830,97.620,2.380,4.65,224,0.875,bicubic
resnet26,91.120,8.880,97.730,2.270,16.00,224,0.875,bicubic
resnet34,91.110,8.890,97.620,2.380,21.80,224,0.875,bilinear
regnetx_008,91.050,8.950,97.710,2.290,7.26,224,0.875,bicubic
tf_efficientnet_lite0,91.040,8.960,97.590,2.410,4.65,224,0.875,bicubic
gluon_resnet34_v1b,90.960,9.040,97.630,2.370,21.80,224,0.875,bicubic
mobilenetv2_110d,90.950,9.050,97.550,2.450,4.52,224,0.875,bicubic
tf_efficientnet_lite0,91.040,8.960,97.570,2.430,4.65,224,0.875,bicubic
gluon_resnet34_v1b,90.990,9.010,97.640,2.360,21.80,224,0.875,bicubic
mobilenetv2_110d,90.970,9.030,97.540,2.460,4.52,224,0.875,bicubic
tv_densenet121,90.900,9.100,97.710,2.290,7.98,224,0.875,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
fbnetc_100,90.700,9.300,97.210,2.790,5.57,224,0.875,bilinear
swsl_resnet18,90.690,9.310,97.700,2.300,11.69,224,0.875,bilinear
dla34,90.760,9.240,97.650,2.350,15.74,224,0.875,bilinear
fbnetc_100,90.710,9.290,97.210,2.790,5.57,224,0.875,bilinear
swsl_resnet18,90.680,9.320,97.710,2.290,11.69,224,0.875,bilinear
mnasnet_100,90.510,9.490,97.470,2.530,4.38,224,0.875,bicubic
regnety_004,90.500,9.500,97.540,2.460,4.34,224,0.875,bicubic
regnetx_006,90.350,9.650,97.430,2.570,6.20,224,0.875,bicubic
regnety_004,90.500,9.500,97.560,2.440,4.34,224,0.875,bicubic
spnasnet_100,90.350,9.650,97.190,2.810,4.42,224,0.875,bilinear
ssl_resnet18,90.220,9.780,97.550,2.450,11.69,224,0.875,bilinear
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
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
hrnet_w18_small,89.050,10.950,97.110,2.890,13.19,224,0.875,bilinear
tf_mobilenetv3_large_minimal_100,88.970,11.030,96.860,3.140,3.92,224,0.875,bilinear
regnetx_004,88.900,11.100,97.120,2.880,5.16,224,0.875,bicubic
legacy_seresnet18,88.880,11.120,96.980,3.020,11.78,224,0.875,bicubic
gluon_resnet18_v1b,88.400,11.600,96.680,3.320,11.69,224,0.875,bicubic
resnet18,87.390,12.610,96.290,3.710,11.69,224,0.875,bilinear
regnety_002,87.380,12.620,96.590,3.410,3.16,224,0.875,bicubic
dla60x_c,86.290,13.710,96.160,3.840,1.32,224,0.875,bilinear
regnetx_002,86.190,13.810,95.980,4.020,2.68,224,0.875,bicubic
tf_mobilenetv3_small_100,85.190,14.810,95.770,4.230,2.54,224,0.875,bilinear
dla46x_c,84.250,15.750,95.270,4.730,1.07,224,0.875,bilinear
dla46_c,83.650,16.350,94.920,5.080,1.30,224,0.875,bilinear
tf_mobilenetv3_small_075,83.520,16.480,94.790,5.210,2.04,224,0.875,bilinear
regnetx_006,90.330,9.670,97.430,2.570,6.20,224,0.875,bicubic
ssl_resnet18,90.230,9.770,97.560,2.440,11.69,224,0.875,bilinear
tv_resnet34,89.920,10.080,97.340,2.660,21.80,224,0.875,bilinear
tf_mobilenetv3_large_075,89.710,10.290,97.220,2.780,3.99,224,0.875,bilinear
skresnet18,89.660,10.340,97.220,2.780,11.96,224,0.875,bicubic
mobilenetv2_100,89.610,10.390,97.140,2.860,3.50,224,0.875,bicubic
resnet18d,89.300,10.700,97.150,2.850,11.71,224,0.875,bicubic
hrnet_w18_small,89.040,10.960,97.100,2.900,13.19,224,0.875,bilinear
tf_mobilenetv3_large_minimal_100,88.960,11.040,96.870,3.130,3.92,224,0.875,bilinear
regnetx_004,88.890,11.110,97.120,2.880,5.16,224,0.875,bicubic
legacy_seresnet18,88.880,11.120,96.970,3.030,11.78,224,0.875,bicubic
gluon_resnet18_v1b,88.370,11.630,96.690,3.310,11.69,224,0.875,bicubic
resnet18,87.370,12.630,96.260,3.740,11.69,224,0.875,bilinear
regnety_002,87.360,12.640,96.570,3.430,3.16,224,0.875,bicubic
dla60x_c,86.280,13.720,96.160,3.840,1.32,224,0.875,bilinear
regnetx_002,86.200,13.800,95.970,4.030,2.68,224,0.875,bicubic
tf_mobilenetv3_small_100,85.180,14.820,95.780,4.220,2.54,224,0.875,bilinear
dla46x_c,84.250,15.750,95.280,4.720,1.07,224,0.875,bilinear
dla46_c,83.640,16.360,94.910,5.090,1.30,224,0.875,bilinear
tf_mobilenetv3_small_075,83.490,16.510,94.790,5.210,2.04,224,0.875,bilinear
tf_mobilenetv3_small_minimal_100,81.380,18.620,93.670,6.330,2.04,224,0.875,bilinear
inception_resnet_v2,10.930,89.070,28.870,71.130,55.85,299,0.897,bicubic
pnasnet5large,10.690,89.310,31.050,68.950,86.06,331,0.911,bicubic
ens_adv_inception_resnet_v2,10.650,89.350,30.490,69.510,55.85,299,0.897,bicubic
inception_v4,10.570,89.430,28.260,71.740,42.68,299,0.875,bicubic

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
2 tf_efficientnet_l2_ns 98.550 98.540 1.450 1.460 99.820 0.180 480.31 800 0.960 bicubic
3 tf_efficientnet_l2_ns_475 98.500 98.490 1.500 1.510 99.830 0.170 480.31 475 0.936 bicubic
4 tf_efficientnet_b7_ns 97.910 97.880 2.090 2.120 99.720 0.280 66.35 600 0.949 bicubic
5 ig_resnext101_32x48d 97.640 2.360 99.700 0.300 828.41 224 0.875 bilinear
6 tf_efficientnet_b6_ns 97.630 2.370 99.580 0.420 43.04 528 0.942 bicubic
7 ig_resnext101_32x48d tf_efficientnet_b5_ns 97.620 97.490 2.380 2.510 99.700 99.630 0.300 0.370 828.41 30.39 224 456 0.875 0.934 bilinear bicubic
8 tf_efficientnet_b5_ns resnetv2_152x4_bitm 97.500 97.480 2.500 2.520 99.630 99.610 0.370 0.390 30.39 936.53 456 480 0.934 1.000 bicubic bilinear
9 ig_resnext101_32x32d 97.360 2.640 99.680 0.320 468.53 224 0.875 bilinear
10 swsl_resnext101_32x8d tf_efficientnet_b8 97.200 97.210 2.800 2.790 99.570 99.500 0.430 0.500 88.79 87.41 224 672 0.875 0.954 bilinear bicubic
11 tf_efficientnet_b7_ap 97.200 2.800 99.540 0.460 66.35 600 0.949 bicubic
12 tf_efficientnet_b8 swsl_resnext101_32x8d 97.200 97.190 2.800 2.810 99.500 99.570 0.500 0.430 87.41 88.79 672 224 0.954 0.875 bicubic bilinear
13 vit_base_resnet50_384 97.180 2.820 99.560 0.440 98.95 384 1.000 bicubic
14 resnetv2_152x2_bitm 97.130 2.870 99.590 0.410 236.34 480 1.000 bilinear
15 vit_large_patch16_384 97.120 2.880 99.640 0.360 304.72 384 1.000 bicubic
16 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
17 tf_efficientnet_b6_ap 97.080 2.920 99.620 0.380 43.04 528 0.942 bicubic
18 resnetv2_101x3_bitm 97.080 2.920 99.510 0.490 387.93 480 1.000 bilinear
19 tf_efficientnet_b7 97.010 2.990 99.520 0.480 66.35 600 0.949 bicubic
20 tf_efficientnet_b4_ns 96.950 96.930 3.050 3.070 99.580 0.420 19.34 380 0.922 bicubic
21 ig_resnext101_32x16d 96.820 96.830 3.180 3.170 99.590 0.410 194.03 224 0.875 bilinear
22 vit_base_patch16_384 resnetv2_50x3_bitm 96.700 96.780 3.300 3.220 99.510 99.420 0.490 0.580 86.86 217.32 384 480 1.000 bicubic bilinear
23 tf_efficientnet_b5_ap seresnet152d_320 96.680 96.770 3.320 3.230 99.460 99.450 0.540 0.550 30.39 66.84 456 320 0.934 1.000 bicubic
24 resnet200d_320 96.740 3.260 99.340 0.660 64.69 320 1.000 bicubic
25 vit_base_patch16_384 96.710 3.290 99.510 0.490 86.86 384 1.000 bicubic
26 tf_efficientnet_b5_ap 96.690 3.310 99.460 0.540 30.39 456 0.934 bicubic
27 tf_efficientnet_b6 96.670 3.330 99.370 0.630 43.04 528 0.942 bicubic
28 resnest200e 96.610 96.620 3.390 3.380 99.350 0.650 70.20 320 0.909 bicubic
29 swsl_resnext101_32x16d 96.600 3.400 99.520 0.480 194.03 224 0.875 bilinear
30 seresnet152d 96.570 3.430 99.400 0.600 66.84 256 0.940 bicubic
31 resnest269e 96.520 3.480 99.350 0.650 110.93 416 0.928 bicubic
32 swsl_resnext101_32x4d 96.420 96.410 3.580 3.590 99.470 0.530 44.18 224 0.875 bilinear
33 tf_efficientnet_b3_ns 96.390 96.370 3.610 3.630 99.350 0.650 12.23 300 0.904 bicubic
34 tf_efficientnet_b5 resnet152d_320 96.350 3.650 99.310 99.390 0.690 0.610 30.39 60.21 456 320 0.934 1.000 bicubic
35 ig_resnext101_32x8d tf_efficientnet_b5 96.320 96.340 3.680 3.660 99.430 99.310 0.570 0.690 88.79 30.39 224 456 0.875 0.934 bilinear bicubic
36 tf_efficientnet_b4_ap ig_resnext101_32x8d 96.160 96.310 3.840 3.690 99.280 99.430 0.720 0.570 19.34 88.79 380 224 0.922 0.875 bicubic bilinear
37 tresnet_xl_448 resnet101d_320 95.970 96.290 4.030 3.710 99.130 99.230 0.870 0.770 78.44 44.57 448 320 0.875 1.000 bilinear bicubic
38 tf_efficientnet_b4 resnet200d 95.900 96.290 4.100 3.710 99.170 99.250 0.830 0.750 19.34 64.69 380 256 0.922 0.940 bicubic
39 swsl_resnext50_32x4d tf_efficientnet_b4_ap 95.870 96.170 4.130 3.830 99.250 99.280 0.750 0.720 25.03 19.34 224 380 0.875 0.922 bilinear bicubic
40 resnest101e resnetv2_101x1_bitm 95.860 96.070 4.140 3.930 99.210 99.300 0.790 0.700 48.28 44.54 256 480 0.875 1.000 bilinear
41 resnet152d 95.990 4.010 99.260 0.740 60.21 256 0.940 bicubic
42 tresnet_xl_448 95.970 4.030 99.120 0.880 78.44 448 0.875 bilinear
43 vit_large_patch16_224 95.940 4.060 99.240 0.760 304.33 224 0.900 bicubic
44 resnet101d 95.930 4.070 99.070 0.930 44.57 256 0.940 bicubic
45 tf_efficientnet_b4 95.890 4.110 99.170 0.830 19.34 380 0.922 bicubic
46 swsl_resnext50_32x4d 95.880 4.120 99.250 0.750 25.03 224 0.875 bilinear
47 tresnet_l_448 95.860 4.140 99.120 0.880 55.99 448 0.875 bilinear
48 vit_large_patch32_384 resnest101e 95.830 95.850 4.170 4.150 99.150 99.210 0.850 0.790 306.63 48.28 384 256 1.000 0.875 bicubic bilinear
49 ssl_resnext101_32x16d 95.810 4.190 99.180 0.820 194.03 224 0.875 bilinear
50 vit_base_patch32_384 95.810 4.190 99.150 0.850 88.30 384 1.000 bicubic
51 ssl_resnext101_32x16d tf_efficientnet_b2_ns 95.800 95.740 4.200 4.260 99.180 99.120 0.820 0.880 194.03 9.11 224 260 0.875 0.890 bilinear bicubic
52 tf_efficientnet_b2_ns efficientnet_b3a 95.770 95.720 4.230 4.280 99.120 99.040 0.880 0.960 9.11 12.23 260 320 0.890 1.000 bicubic
efficientnet_b3a 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
53 nasnetalarge 95.680 4.320 98.930 1.070 88.75 331 0.911 bicubic
54 efficientnet_b3 95.580 4.420 99.100 0.900 12.23 300 0.904 bicubic
55 ecaresnet101d 95.530 95.540 4.470 4.460 99.130 0.870 44.57 224 0.875 bicubic
56 ssl_resnext101_32x8d 95.470 4.530 99.110 0.890 88.79 224 0.875 bilinear
57 ssl_resnext101_32x4d tresnet_xl 95.440 4.560 99.130 99.060 0.870 0.940 44.18 78.44 224 0.875 bilinear
58 tresnet_xl ssl_resnext101_32x4d 95.440 95.430 4.560 4.570 99.050 99.130 0.950 0.870 78.44 44.18 224 0.875 bilinear
59 swsl_resnet50 95.410 4.590 99.290 99.280 0.710 0.720 25.56 224 0.875 bilinear
60 regnety_032 95.360 4.640 99.080 99.100 0.920 0.900 19.44 224 0.875 bicubic
61 vit_base_patch16_224 95.340 4.660 99.000 1.000 86.57 224 0.900 bicubic
62 tf_efficientnet_b3_ap 95.320 4.680 98.900 1.100 12.23 300 0.904 bicubic
63 tresnet_l 95.290 4.710 99.010 0.990 55.99 224 0.875 bilinear
64 tf_efficientnet_b1_ns 95.170 4.830 99.110 0.890 7.79 240 0.882 bicubic
65 wide_resnet50_2 ecaresnet101d_pruned 95.080 95.070 4.920 4.930 98.970 98.980 1.030 1.020 68.88 24.88 224 0.875 bicubic
66 ecaresnet101d_pruned wide_resnet50_2 95.080 95.070 4.920 4.930 98.980 98.970 1.020 1.030 24.88 68.88 224 0.875 bicubic
67 legacy_senet154 95.070 95.060 4.930 4.940 98.830 1.170 115.09 224 0.875 bilinear
68 gluon_resnet152_v1s 95.040 95.050 4.960 4.950 98.930 1.070 60.32 224 0.875 bicubic
69 seresnext50_32x4d resnetv2_50x1_bitm 95.040 4.960 98.880 99.160 1.120 0.840 27.56 25.55 224 480 0.875 1.000 bicubic bilinear
70 seresnext50_32x4d 95.040 4.960 98.890 1.110 27.56 224 0.875 bicubic
71 tf_efficientnet_b3 95.010 4.990 98.910 1.090 12.23 300 0.904 bicubic
72 tresnet_m_448 94.990 5.010 98.980 1.020 31.39 448 0.875 bilinear
73 resnest50d_4s2x40d 94.960 94.950 5.040 5.050 99.070 0.930 30.42 224 0.875 bicubic
74 rexnet_200 gluon_seresnext101_64x4d 94.940 94.950 5.060 5.050 99.010 98.820 0.990 1.180 16.37 88.23 224 0.875 bicubic
75 gluon_seresnext101_64x4d gluon_senet154 94.930 5.070 98.830 98.770 1.170 1.230 88.23 115.09 224 0.875 bicubic
76 gluon_senet154 rexnet_200 94.920 94.930 5.080 5.070 98.760 99.000 1.240 1.000 115.09 16.37 224 0.875 bicubic
77 gluon_seresnext101_32x4d 94.920 5.080 98.810 1.190 48.96 224 0.875 bicubic
78 tf_efficientnet_lite4 ssl_resnext50_32x4d 94.890 94.860 5.110 5.140 99.020 98.870 0.980 1.130 13.01 25.03 380 224 0.920 0.875 bilinear
79 ssl_resnext50_32x4d tf_efficientnet_lite4 94.870 94.860 5.130 5.140 98.880 99.020 1.120 0.980 25.03 13.01 224 380 0.875 0.920 bilinear
80 resnest50d 94.830 94.820 5.170 5.180 98.880 1.120 27.48 224 0.875 bilinear
81 ecaresnetlight 94.770 94.780 5.230 5.220 98.800 1.200 30.16 224 0.875 bicubic
82 resnest50d_1s4x24d 94.750 94.760 5.250 5.240 98.980 1.020 25.68 224 0.875 bicubic
83 gluon_resnet152_v1d 94.740 94.750 5.260 5.250 98.740 1.260 60.21 224 0.875 bicubic
84 gluon_resnet101_v1s efficientnet_b2 94.720 94.710 5.280 5.290 98.820 98.670 1.180 1.330 44.67 9.11 224 260 0.875 bicubic
85 efficientnet_b2 gluon_resnet101_v1s 94.700 5.300 98.670 98.820 1.330 1.180 9.11 44.67 260 224 0.875 bicubic
86 gluon_resnext101_64x4d cspdarknet53 94.670 5.330 98.650 98.810 1.350 1.190 83.46 27.64 224 256 0.875 0.887 bicubic bilinear
87 cspdarknet53 gluon_resnext101_64x4d 94.660 94.640 5.340 5.360 98.800 98.660 1.200 1.340 27.64 83.46 256 224 0.887 0.875 bilinear bicubic
88 ecaresnet50d efficientnet_b2a 94.630 5.370 98.890 98.710 1.110 1.290 25.58 9.11 224 288 0.875 1.000 bicubic
89 efficientnet_b3_pruned 94.630 94.620 5.370 5.380 98.760 98.770 1.240 1.230 9.86 300 0.904 bicubic
90 tresnet_m ecaresnet50d 94.620 5.380 98.550 98.890 1.450 1.110 31.39 25.58 224 0.875 bilinear bicubic
91 efficientnet_b2a tf_efficientnet_el 94.610 5.390 98.710 98.750 1.290 1.250 9.11 10.59 288 300 1.000 0.904 bicubic
92 tf_efficientnet_el tresnet_m 94.590 94.610 5.410 5.390 98.750 98.550 1.250 1.450 10.59 31.39 300 224 0.904 0.875 bicubic bilinear
93 seresnet50 94.550 94.560 5.450 5.440 98.750 1.250 28.09 224 0.875 bicubic
94 inception_resnet_v2 regnety_320 94.540 94.550 5.460 5.450 98.790 98.840 1.210 1.160 55.84 145.05 299 224 0.897 0.875 bicubic
95 regnety_320 gluon_resnext101_32x4d 94.540 94.520 5.460 5.480 98.850 98.630 1.150 1.370 145.05 44.18 224 0.875 bicubic
96 gluon_resnext101_32x4d ssl_resnet50 94.530 94.490 5.470 5.510 98.630 98.920 1.370 1.080 44.18 25.56 224 0.875 bicubic bilinear
97 tf_efficientnet_b2_ap 94.490 5.510 98.620 1.380 9.11 260 0.890 bicubic
rexnet_150 94.480 5.520 98.790 1.210 9.73 224 0.875 bicubic
regnety_120 94.480 5.520 98.810 1.190 51.82 224 0.875 bicubic
98 cspresnext50 94.480 5.520 98.680 1.320 20.57 224 0.875 bilinear
99 regnetx_320 regnety_120 94.460 94.480 5.540 5.520 98.740 98.810 1.260 1.190 107.81 51.82 224 0.875 bicubic
100 ssl_resnet50 rexnet_150 94.450 94.470 5.550 5.530 98.920 98.790 1.080 1.210 25.56 9.73 224 0.875 bilinear bicubic
101 inception_v4 regnetx_320 94.380 94.440 5.620 5.560 98.580 98.730 1.420 1.270 42.68 107.81 299 224 0.875 bicubic
102 legacy_seresnext101_32x4d tf_efficientnet_b2 94.370 5.630 98.650 98.610 1.350 1.390 48.96 9.11 224 260 0.875 0.890 bilinear bicubic
103 tf_efficientnet_b2 legacy_seresnext101_32x4d 94.360 5.640 98.610 98.640 1.390 1.360 9.11 48.96 260 224 0.890 0.875 bicubic bilinear
104 regnety_160 gluon_seresnext50_32x4d 94.340 94.350 5.660 5.650 98.850 98.620 1.150 1.380 83.59 27.56 224 0.875 bicubic
105 gluon_seresnext50_32x4d regnety_160 94.340 94.350 5.660 5.650 98.610 98.850 1.390 1.150 27.56 83.59 224 0.875 bicubic
106 dpn107 94.310 5.690 98.480 1.520 86.92 224 0.875 bicubic
107 xception71 94.280 94.290 5.720 5.710 98.640 1.360 42.34 299 0.903 bicubic
108 resnet50d 94.270 5.730 98.720 1.280 25.58 224 0.875 bicubic
109 gluon_xception65 94.260 5.740 98.570 1.430 39.92 299 0.903 bicubic
110 resnet50d skresnext50_32x4d 94.260 5.740 98.720 98.470 1.280 1.530 25.58 27.48 224 0.875 bicubic
111 skresnext50_32x4d regnetx_120 94.260 94.240 5.740 5.760 98.460 98.670 1.540 1.330 27.48 46.11 224 0.875 bicubic
112 regnetx_120 dpn92 94.240 94.220 5.760 5.780 98.650 98.730 1.350 1.270 46.11 37.67 224 0.875 bicubic
113 dpn92 ecaresnet50d_pruned 94.230 94.210 5.770 5.790 98.730 1.270 37.67 19.94 224 0.875 bicubic
114 gluon_resnet101_v1d 94.220 94.200 5.780 5.800 98.550 98.560 1.450 1.440 44.57 224 0.875 bicubic
ecaresnet50d_pruned 94.220 5.780 98.730 1.270 19.94 224 0.875 bicubic
tf_efficientnet_lite3 94.200 5.800 98.640 1.360 8.20 300 0.904 bilinear
115 mixnet_xl 94.190 5.810 98.340 1.660 11.90 224 0.875 bicubic
116 resnext50d_32x4d 94.180 94.190 5.820 5.810 98.570 98.580 1.430 1.420 25.05 224 0.875 bicubic
117 regnety_080 tf_efficientnet_lite3 94.170 94.190 5.830 5.810 98.680 98.640 1.320 1.360 39.18 8.20 224 300 0.875 0.904 bicubic bilinear
118 ens_adv_inception_resnet_v2 regnety_080 94.160 94.180 5.840 5.820 98.600 98.680 1.400 1.320 55.84 39.18 299 224 0.897 0.875 bicubic
119 gluon_resnet152_v1c 94.160 5.840 98.640 1.360 60.21 224 0.875 bicubic
120 regnety_064 94.150 5.850 98.730 1.270 30.58 224 0.875 bicubic
121 efficientnet_b2_pruned 94.140 5.860 98.530 98.520 1.470 1.480 8.31 260 0.890 bicubic
122 dpn98 94.130 5.870 98.570 1.430 61.57 224 0.875 bicubic
123 regnetx_160 94.120 5.880 98.750 98.740 1.250 1.260 54.28 224 0.875 bicubic
124 resnext50_32x4d 94.100 94.110 5.900 5.890 98.350 1.650 25.03 224 0.875 bicubic
125 ese_vovnet39b 94.090 5.910 98.660 1.340 24.57 224 0.875 bicubic
126 gluon_resnet152_v1b 94.080 94.090 5.920 5.910 98.450 1.550 60.19 224 0.875 bicubic
127 dpn131 94.010 94.000 5.990 6.000 98.720 1.280 79.25 224 0.875 bicubic
128 hrnet_w64 94.010 93.990 5.990 6.010 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
129 dla102x2 93.950 6.050 98.490 1.510 41.28 224 0.875 bilinear
130 hrnet_w48 resnetblur50 93.920 93.950 6.080 6.050 98.610 98.590 1.390 1.410 77.47 25.56 224 0.875 bilinear bicubic
131 hrnet_w48 93.940 6.060 98.610 1.390 77.47 224 0.875 bilinear
132 tf_efficientnet_cc_b1_8e 93.910 6.090 98.250 1.750 39.72 240 0.882 bicubic
133 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
134 regnetx_064 93.890 6.110 98.630 1.370 26.21 224 0.875 bicubic
135 regnetx_080 93.870 93.860 6.130 6.140 98.520 1.480 39.57 224 0.875 bicubic
136 regnety_040 93.860 6.140 98.650 98.640 1.350 1.360 20.65 224 0.875 bicubic
137 efficientnet_em 93.840 93.850 6.160 6.150 98.810 1.190 6.90 240 0.882 bicubic
138 resnext101_32x8d gluon_resnext50_32x4d 93.830 93.820 6.170 6.180 98.580 98.410 1.420 1.590 88.79 25.03 224 0.875 bilinear bicubic
139 gluon_resnext50_32x4d resnet50 93.810 6.190 98.410 98.380 1.590 1.620 25.03 25.56 224 0.875 bicubic
140 resnet50 resnext101_32x8d 93.810 93.800 6.190 6.200 98.390 98.580 1.610 1.420 25.56 88.79 224 0.875 bicubic bilinear
141 vit_base_patch16_224 gluon_resnet50_v1d 93.800 93.780 6.200 6.220 98.470 98.400 1.530 1.600 86.54 25.58 224 0.900 0.875 bicubic
142 gluon_resnet50_v1d xception65 93.770 6.230 98.390 98.360 1.610 1.640 25.58 39.92 224 299 0.875 0.903 bicubic
143 xception65 cspresnet50 93.760 93.750 6.240 6.250 98.370 98.630 1.630 1.370 39.92 21.62 299 256 0.903 0.887 bicubic bilinear
144 res2net101_26w_4s gluon_resnet101_v1b 93.750 93.730 6.250 6.270 98.310 98.400 1.690 1.600 45.21 44.55 224 0.875 bilinear bicubic
145 gluon_resnet101_v1b res2net101_26w_4s 93.750 93.730 6.250 6.270 98.380 98.320 1.620 1.680 44.55 45.21 224 0.875 bicubic bilinear
146 cspresnet50 wide_resnet101_2 93.740 93.730 6.260 6.270 98.640 98.540 1.360 1.460 21.62 126.89 256 224 0.887 0.875 bilinear
147 legacy_seresnext50_32x4d 93.730 93.720 6.270 6.280 98.580 1.420 27.56 224 0.875 bilinear
148 wide_resnet101_2 tf_efficientnet_b1_ap 93.720 93.710 6.280 6.290 98.540 98.360 1.460 1.640 126.89 7.79 224 240 0.875 0.882 bilinear bicubic
149 dpn68b 93.690 93.680 6.310 6.320 98.510 98.520 1.490 1.480 12.61 224 0.875 bicubic
150 tf_efficientnet_b1_ap gluon_resnet101_v1c 93.690 93.670 6.310 6.330 98.360 98.410 1.640 1.590 7.79 44.57 240 224 0.882 0.875 bicubic
151 gluon_resnet101_v1c gluon_resnet50_v1s 93.670 93.630 6.330 6.370 98.420 98.470 1.580 1.530 44.57 25.68 224 0.875 bicubic
152 tf_efficientnet_b0_ns 93.630 93.620 6.370 6.380 98.640 1.360 5.29 224 0.875 bicubic
153 gluon_resnet50_v1s hrnet_w44 93.620 93.580 6.380 6.420 98.460 98.700 1.540 1.300 25.68 67.06 224 0.875 bicubic bilinear
154 regnetx_040 93.560 6.440 98.540 98.550 1.460 1.450 22.12 224 0.875 bicubic
155 hrnet_w44 res2net50_26w_8s 93.550 93.540 6.450 6.460 98.700 98.270 1.300 1.730 67.06 48.40 224 0.875 bilinear
156 res2net50_26w_8s hrnet_w32 93.540 93.520 6.460 6.480 98.260 98.430 1.740 1.570 48.40 41.23 224 0.875 bilinear
157 hrnet_w32 tf_efficientnet_b1 93.530 93.520 6.470 6.480 98.450 98.360 1.550 1.640 41.23 7.79 224 240 0.875 0.882 bilinear bicubic
158 dla102x 93.520 6.480 98.510 98.500 1.490 1.500 26.31 224 0.875 bilinear
159 tf_efficientnet_b1 tf_efficientnet_em 93.500 6.500 98.360 98.440 1.640 1.560 7.79 6.90 240 0.882 bicubic
160 hrnet_w40 93.490 6.510 98.580 98.590 1.420 1.410 57.56 224 0.875 bilinear
161 tf_efficientnet_em xception 93.480 93.470 6.520 6.530 98.440 98.530 1.560 1.470 6.90 22.86 240 299 0.882 0.897 bicubic
162 xception gluon_inception_v3 93.460 6.540 98.530 98.560 1.470 1.440 22.86 23.83 299 0.897 0.875 bicubic
163 gluon_inception_v3 mixnet_l 93.460 93.430 6.540 6.570 98.570 98.220 1.430 1.780 23.83 7.33 299 224 0.875 bicubic
164 mixnet_l legacy_seresnet152 93.450 93.420 6.550 6.580 98.220 98.350 1.780 1.650 7.33 66.82 224 0.875 bicubic bilinear
165 xception41 93.430 93.410 6.570 6.590 98.430 98.420 1.570 1.580 26.97 299 0.903 bicubic
166 res2net50_26w_6s 93.410 93.400 6.590 6.600 98.280 1.720 37.05 224 0.875 bilinear
167 legacy_seresnet152 resnest26d 93.400 93.370 6.600 6.630 98.350 98.640 1.650 1.360 66.82 17.07 224 0.875 bilinear
168 dla169 93.340 6.660 98.600 1.400 53.39 224 0.875 bilinear
169 resnest26d tf_inception_v3 93.330 6.670 98.630 98.040 1.370 1.960 17.07 23.83 224 299 0.875 bilinear bicubic
170 tf_inception_v3 tv_resnet152 93.320 6.680 98.030 98.390 1.970 1.610 23.83 60.19 299 224 0.875 bicubic bilinear
171 tf_mixnet_l 93.310 93.300 6.690 6.700 98.030 1.970 7.33 224 0.875 bicubic
172 selecsls60b legacy_seresnet101 93.300 93.290 6.700 6.710 98.280 98.500 1.720 1.500 32.77 49.33 224 0.875 bicubic bilinear
173 tv_resnet152 selecsls60b 93.300 93.290 6.700 6.710 98.390 98.280 1.610 1.720 60.19 32.77 224 0.875 bilinear bicubic
174 legacy_seresnet101 efficientnet_b1 93.280 93.270 6.720 6.730 98.510 98.190 1.490 1.810 49.33 7.79 224 240 0.875 bilinear bicubic
175 efficientnet_b1 hrnet_w30 93.260 93.210 6.740 6.790 98.170 98.410 1.830 1.590 7.79 37.71 240 224 0.875 bicubic bilinear
176 hrnet_w30 efficientnet_es 93.200 6.800 98.410 1.590 37.71 5.44 224 0.875 bilinear bicubic
177 dla60_res2next 93.180 6.820 98.410 1.590 17.03 224 0.875 bilinear
178 dla60_res2net 93.180 93.150 6.820 6.850 98.420 1.580 20.85 224 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
179 regnetx_032 93.120 6.880 98.390 1.610 15.30 224 0.875 bicubic
180 seresnext26t_32x4d dla60x 93.070 93.100 6.930 6.900 98.110 98.490 1.890 1.510 16.82 17.35 224 0.875 bicubic bilinear
181 dla102 93.060 93.090 6.940 6.910 98.540 98.550 1.460 1.450 33.27 224 0.875 bilinear
182 gluon_resnet50_v1c seresnext26t_32x4d 93.030 93.060 6.970 6.940 98.390 98.100 1.610 1.900 25.58 16.82 224 0.875 bicubic
183 selecsls60 93.050 6.950 98.300 1.700 30.67 224 0.875 bicubic
184 gluon_resnet50_v1c 93.030 6.970 98.370 1.630 25.58 224 0.875 bicubic
185 regnety_016 93.030 6.970 98.360 1.640 11.20 224 0.875 bicubic
186 rexnet_100 93.030 6.970 98.190 1.810 4.80 224 0.875 bicubic
187 selecsls60 legacy_seresnet50 93.030 92.950 6.970 7.050 98.300 98.190 1.700 1.810 30.67 28.09 224 0.875 bicubic bilinear
188 legacy_seresnet50 adv_inception_v3 92.960 92.890 7.040 7.110 98.190 98.130 1.810 1.870 28.09 23.83 224 299 0.875 bilinear bicubic
189 adv_inception_v3 res2next50 92.880 92.830 7.120 7.170 98.140 98.170 1.860 1.830 23.83 24.67 299 224 0.875 bicubic bilinear
190 res2next50 tf_efficientnet_cc_b0_8e 92.840 92.820 7.160 7.180 98.180 1.820 24.67 24.01 224 0.875 bilinear bicubic
191 tf_efficientnet_cc_b0_8e seresnext26tn_32x4d 92.830 92.810 7.170 7.190 98.180 98.370 1.820 1.630 24.01 16.81 224 0.875 bicubic
192 seresnext26tn_32x4d tv_resnet101 92.820 92.800 7.180 7.200 98.370 98.230 1.630 1.770 16.81 44.55 224 0.875 bicubic bilinear
tv_resnet101 92.810 7.190 98.250 1.750 44.55 224 0.875 bilinear
193 efficientnet_b1_pruned 92.770 7.230 98.040 1.960 6.33 240 0.882 bicubic
194 vit_small_patch16_224 92.760 92.770 7.240 7.230 97.930 2.070 48.75 224 0.900 bicubic
195 densenet201 tv_resnext50_32x4d 92.750 92.760 7.250 7.240 98.230 98.270 1.770 1.730 20.01 25.03 224 0.875 bicubic bilinear
196 res2net50_14w_8s densenet201 92.740 92.750 7.260 7.250 98.180 98.240 1.820 1.760 25.06 20.01 224 0.875 bilinear bicubic
197 tv_resnext50_32x4d seresnext26d_32x4d 92.740 92.730 7.260 7.270 98.270 98.150 1.730 1.850 25.03 16.81 224 0.875 bilinear bicubic
198 inception_v3 92.720 7.280 97.970 97.960 2.030 2.040 23.83 299 0.875 bicubic
199 seresnext26d_32x4d res2net50_14w_8s 92.700 92.720 7.300 7.280 98.150 98.190 1.850 1.810 16.81 25.06 224 0.875 bicubic bilinear
200 efficientnet_b0 resnet34d 92.690 7.310 98.070 98.300 1.930 1.700 5.29 21.82 224 0.875 bicubic
201 resnet34d efficientnet_b0 92.680 92.670 7.320 7.330 98.310 98.080 1.690 1.920 21.82 5.29 224 0.875 bicubic
202 tf_efficientnet_lite2 92.650 92.660 7.350 7.340 98.230 1.770 6.09 260 0.890 bicubic
203 legacy_seresnext26_32x4d 92.640 92.630 7.360 7.370 98.130 98.120 1.870 1.880 16.79 224 0.875 bicubic
204 tf_efficientnet_lite1 92.620 7.380 98.080 1.920 5.42 240 0.882 bicubic
205 tf_efficientnet_cc_b0_4e 92.590 92.610 7.410 7.390 98.080 1.920 13.31 224 0.875 bicubic
206 res2net50_48w_2s 92.550 92.560 7.450 7.440 98.080 98.070 1.920 1.930 25.29 224 0.875 bilinear
207 tf_efficientnet_es 92.550 7.450 98.280 98.290 1.720 1.710 5.44 224 0.875 bicubic
208 gluon_resnet50_v1b 92.540 7.460 98.170 98.190 1.830 1.810 25.56 224 0.875 bicubic
209 res2net50_26w_4s 92.500 92.490 7.500 7.510 98.060 1.940 25.70 224 0.875 bilinear
210 densenet161 92.500 92.490 7.500 7.510 98.290 1.710 28.68 224 0.875 bicubic
211 mixnet_m 92.430 92.440 7.570 7.560 97.870 2.130 5.01 224 0.875 bicubic
212 mobilenetv2_120d 92.400 7.600 98.050 1.950 5.83 224 0.875 bicubic
213 skresnet34 92.390 92.380 7.610 7.620 98.150 98.140 1.850 1.860 22.28 224 0.875 bicubic
214 tf_mixnet_m 92.330 7.670 97.890 2.110 5.01 224 0.875 bicubic
215 hrnet_w18 92.320 92.310 7.680 7.690 98.240 1.760 21.30 224 0.875 bilinear
216 ese_vovnet19b_dw selecsls42b 92.290 92.300 7.710 7.700 98.090 98.150 1.910 1.850 6.54 32.46 224 0.875 bicubic
217 selecsls42b ese_vovnet19b_dw 92.280 92.290 7.720 7.710 98.150 98.100 1.850 1.900 32.46 6.54 224 0.875 bicubic
218 tf_efficientnet_b0 92.250 92.230 7.750 7.770 98.000 2.000 5.29 224 0.875 bicubic
219 dla60 tf_efficientnet_b0_ap 92.230 92.220 7.770 7.780 98.110 98.020 1.890 1.980 22.04 5.29 224 0.875 bilinear bicubic
220 tf_efficientnet_b0_ap dla60 92.200 92.220 7.800 7.780 98.020 98.110 1.980 1.890 5.29 22.04 224 0.875 bicubic bilinear
221 regnetx_016 92.170 7.830 98.210 1.790 9.19 224 0.875 bicubic
222 resnet26d 92.070 92.050 7.930 7.950 97.960 97.950 2.040 2.050 16.01 224 0.875 bicubic
223 dpn68 92.010 7.990 98.050 98.040 1.950 1.960 12.61 224 0.875 bicubic
224 densenet169 densenetblur121d 91.930 91.920 8.070 8.080 98.100 98.090 1.900 1.910 14.15 8.00 224 0.875 bicubic
225 densenetblur121d densenet169 91.910 8.090 98.070 98.100 1.930 1.900 8.00 14.15 224 0.875 bicubic
226 tv_resnet50 91.880 8.120 98.040 1.960 25.56 224 0.875 bilinear
227 mobilenetv2_140 91.830 91.820 8.170 8.180 97.860 2.140 6.11 224 0.875 bicubic
228 mixnet_s 91.830 91.820 8.170 8.180 97.690 2.310 4.13 224 0.875 bicubic
229 regnety_008 91.750 91.740 8.250 8.260 98.180 1.820 6.26 224 0.875 bicubic
230 resnest14d 91.720 91.740 8.280 8.260 97.870 2.130 10.61 224 0.875 bilinear
231 densenet121 91.570 91.560 8.430 8.440 98.030 98.020 1.970 1.980 7.98 224 0.875 bicubic
232 tf_mixnet_s 91.510 8.490 97.620 97.610 2.380 2.390 4.13 224 0.875 bicubic
233 regnety_006 91.370 8.630 97.710 2.290 6.06 224 0.875 bicubic
234 mobilenetv3_large_100 91.320 91.330 8.680 8.670 97.710 2.290 5.48 224 0.875 bicubic
235 semnasnet_100 91.280 91.290 8.720 8.710 97.560 97.570 2.440 2.430 3.89 224 0.875 bicubic
236 tf_mobilenetv3_large_100 91.240 91.230 8.760 8.770 97.660 2.340 5.48 224 0.875 bilinear
237 mobilenetv3_rw 91.210 8.790 97.660 2.340 5.48 224 0.875 bicubic
238 hrnet_w18_small_v2 91.190 8.810 97.900 2.100 15.60 224 0.875 bilinear
239 efficientnet_lite0 91.140 91.170 8.860 8.830 97.630 97.620 2.370 2.380 4.65 224 0.875 bicubic
240 resnet34 resnet26 91.130 91.120 8.870 8.880 97.620 97.730 2.380 2.270 21.80 16.00 224 0.875 bilinear bicubic
241 resnet26 resnet34 91.110 8.890 97.740 97.620 2.260 2.380 16.00 21.80 224 0.875 bicubic bilinear
242 regnetx_008 91.050 8.950 97.710 2.290 7.26 224 0.875 bicubic
243 tf_efficientnet_lite0 91.040 8.960 97.590 97.570 2.410 2.430 4.65 224 0.875 bicubic
244 gluon_resnet34_v1b 90.960 90.990 9.040 9.010 97.630 97.640 2.370 2.360 21.80 224 0.875 bicubic
245 mobilenetv2_110d 90.950 90.970 9.050 9.030 97.550 97.540 2.450 2.460 4.52 224 0.875 bicubic
246 tv_densenet121 90.900 9.100 97.710 2.290 7.98 224 0.875 bicubic
247 legacy_seresnet34 90.890 9.110 97.580 2.420 21.96 224 0.875 bilinear
248 tv_densenet121 dla34 90.890 90.760 9.110 9.240 97.710 97.650 2.290 2.350 7.98 15.74 224 0.875 bicubic bilinear
249 dla34 fbnetc_100 90.760 90.710 9.240 9.290 97.660 97.210 2.340 2.790 15.74 5.57 224 0.875 bilinear
250 fbnetc_100 swsl_resnet18 90.700 90.680 9.300 9.320 97.210 97.710 2.790 2.290 5.57 11.69 224 0.875 bilinear
swsl_resnet18 90.690 9.310 97.700 2.300 11.69 224 0.875 bilinear
251 mnasnet_100 90.510 9.490 97.470 2.530 4.38 224 0.875 bicubic
252 regnety_004 90.500 9.500 97.540 97.560 2.460 2.440 4.34 224 0.875 bicubic
regnetx_006 90.350 9.650 97.430 2.570 6.20 224 0.875 bicubic
253 spnasnet_100 90.350 9.650 97.190 2.810 4.42 224 0.875 bilinear
254 ssl_resnet18 regnetx_006 90.220 90.330 9.780 9.670 97.550 97.430 2.450 2.570 11.69 6.20 224 0.875 bilinear bicubic
255 tv_resnet34 ssl_resnet18 89.940 90.230 10.060 9.770 97.340 97.560 2.660 2.440 21.80 11.69 224 0.875 bilinear
256 tf_mobilenetv3_large_075 tv_resnet34 89.680 89.920 10.320 10.080 97.210 97.340 2.790 2.660 3.99 21.80 224 0.875 bilinear
257 skresnet18 tf_mobilenetv3_large_075 89.660 89.710 10.340 10.290 97.230 97.220 2.770 2.780 11.96 3.99 224 0.875 bicubic bilinear
258 mobilenetv2_100 skresnet18 89.600 89.660 10.400 10.340 97.140 97.220 2.860 2.780 3.50 11.96 224 0.875 bicubic
259 resnet18d mobilenetv2_100 89.280 89.610 10.720 10.390 97.150 97.140 2.850 2.860 11.71 3.50 224 0.875 bicubic
260 hrnet_w18_small resnet18d 89.050 89.300 10.950 10.700 97.110 97.150 2.890 2.850 13.19 11.71 224 0.875 bilinear bicubic
261 tf_mobilenetv3_large_minimal_100 hrnet_w18_small 88.970 89.040 11.030 10.960 96.860 97.100 3.140 2.900 3.92 13.19 224 0.875 bilinear
262 regnetx_004 tf_mobilenetv3_large_minimal_100 88.900 88.960 11.100 11.040 97.120 96.870 2.880 3.130 5.16 3.92 224 0.875 bicubic bilinear
263 legacy_seresnet18 regnetx_004 88.880 88.890 11.120 11.110 96.980 97.120 3.020 2.880 11.78 5.16 224 0.875 bicubic
264 gluon_resnet18_v1b legacy_seresnet18 88.400 88.880 11.600 11.120 96.680 96.970 3.320 3.030 11.69 11.78 224 0.875 bicubic
265 resnet18 gluon_resnet18_v1b 87.390 88.370 12.610 11.630 96.290 96.690 3.710 3.310 11.69 224 0.875 bilinear bicubic
266 regnety_002 resnet18 87.380 87.370 12.620 12.630 96.590 96.260 3.410 3.740 3.16 11.69 224 0.875 bicubic bilinear
267 dla60x_c regnety_002 86.290 87.360 13.710 12.640 96.160 96.570 3.840 3.430 1.32 3.16 224 0.875 bilinear bicubic
268 regnetx_002 dla60x_c 86.190 86.280 13.810 13.720 95.980 96.160 4.020 3.840 2.68 1.32 224 0.875 bicubic bilinear
269 tf_mobilenetv3_small_100 regnetx_002 85.190 86.200 14.810 13.800 95.770 95.970 4.230 4.030 2.54 2.68 224 0.875 bilinear bicubic
270 dla46x_c tf_mobilenetv3_small_100 84.250 85.180 15.750 14.820 95.270 95.780 4.730 4.220 1.07 2.54 224 0.875 bilinear
271 dla46_c dla46x_c 83.650 84.250 16.350 15.750 94.920 95.280 5.080 4.720 1.30 1.07 224 0.875 bilinear
272 tf_mobilenetv3_small_075 dla46_c 83.520 83.640 16.480 16.360 94.790 94.910 5.210 5.090 2.04 1.30 224 0.875 bilinear
273 tf_mobilenetv3_small_075 83.490 16.510 94.790 5.210 2.04 224 0.875 bilinear
274 tf_mobilenetv3_small_minimal_100 81.380 18.620 93.670 6.330 2.04 224 0.875 bilinear
275 inception_resnet_v2 10.930 89.070 28.870 71.130 55.85 299 0.897 bicubic
276 pnasnet5large 10.690 89.310 31.050 68.950 86.06 331 0.911 bicubic
277 ens_adv_inception_resnet_v2 10.650 89.350 30.490 69.510 55.85 299 0.897 bicubic
278 inception_v4 10.570 89.430 28.260 71.740 42.68 299 0.875 bicubic

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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
tf_efficientnet_b7_ns,67.040,32.960,88.667,11.333,66.35,600,0.949,bicubic,-30.870,-11.053,0
tf_efficientnet_b6_ns,62.267,37.733,85.173,14.827,43.04,528,0.942,bicubic,-35.363,-14.407,0
ig_resnext101_32x48d,61.013,38.987,83.347,16.653,828.41,224,0.875,bilinear,-36.607,-16.353,0
tf_efficientnet_b5_ns,60.320,39.680,84.493,15.507,30.39,456,0.934,bicubic,-37.180,-15.137,0
ig_resnext101_32x32d,58.093,41.907,80.653,19.347,468.53,224,0.875,bilinear,-39.267,-19.027,0
vit_large_patch16_384,53.867,46.133,80.320,19.680,304.72,384,1.000,bicubic,-43.243,-19.320,+4
ig_resnext101_32x16d,53.067,46.933,76.907,23.093,194.03,224,0.875,bilinear,-43.753,-22.683,+7
tf_efficientnet_b4_ns,51.213,48.787,79.187,20.813,19.34,380,0.922,bicubic,-45.737,-20.393,+5
swsl_resnext101_32x8d,51.187,48.813,78.240,21.760,88.79,224,0.875,bilinear,-46.013,-21.330,-3
vit_base_patch16_384,50.613,49.387,78.200,21.800,86.86,384,1.000,bicubic,-46.087,-21.310,+5
tf_efficientnet_b8,48.947,51.053,77.240,22.760,87.41,672,0.954,bicubic,-48.253,-22.260,-3
resnest269e,48.187,51.813,74.333,25.667,110.93,416,0.928,bicubic,-48.333,-25.017,+8
tf_efficientnet_b8_ap,46.893,53.107,76.507,23.493,87.41,672,0.954,bicubic,-50.217,-23.153,-4
swsl_resnext101_32x16d,46.200,53.800,72.200,27.800,194.03,224,0.875,bilinear,-50.400,-27.320,+5
tf_efficientnet_b7_ap,45.373,54.627,74.213,25.787,66.35,600,0.949,bicubic,-51.827,-25.327,-8
ig_resnext101_32x8d,45.320,54.680,70.867,29.133,88.79,224,0.875,bilinear,-51.000,-28.563,+8
resnest200e,44.147,55.853,73.467,26.533,70.20,320,0.909,bicubic,-52.463,-25.883,+1
tresnet_xl_448,43.480,56.520,72.453,27.547,78.44,448,0.875,bilinear,-52.490,-26.677,+8
tf_efficientnet_b7,42.960,57.040,73.133,26.867,66.35,600,0.949,bicubic,-54.050,-26.387,-7
swsl_resnext101_32x4d,41.560,58.440,71.760,28.240,44.18,224,0.875,bilinear,-54.860,-27.710,+1
tf_efficientnet_b6_ap,40.800,59.200,71.627,28.373,43.04,528,0.942,bicubic,-56.280,-27.993,-10
tresnet_l_448,40.200,59.800,69.893,30.107,55.99,448,0.875,bilinear,-55.660,-29.227,+8
vit_large_patch32_384,38.933,61.067,68.920,31.080,306.63,384,1.000,bicubic,-56.897,-30.230,+8
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,-8
tf_efficientnet_b5_ap,34.787,65.213,67.493,32.507,30.39,456,0.934,bicubic,-61.893,-31.967,-10
tresnet_m_448,34.107,65.893,64.493,35.507,31.39,448,0.875,bilinear,-60.883,-34.487,+27
vit_base_patch32_384,33.613,66.387,65.240,34.760,88.30,384,1.000,bicubic,-62.197,-33.910,+4
swsl_resnext50_32x4d,33.013,66.987,65.067,34.933,25.03,224,0.875,bilinear,-62.857,-34.183,-1
ssl_resnext101_32x16d,32.600,67.400,64.000,36.000,194.03,224,0.875,bilinear,-63.200,-35.180,+3
tf_efficientnet_b5,31.840,68.160,65.293,34.707,30.39,456,0.934,bicubic,-64.510,-34.017,-8
resnest101e,31.413,68.587,64.360,35.640,48.28,256,0.875,bilinear,-64.447,-34.850,-3
swsl_resnet50,29.867,70.133,63.853,36.147,25.56,224,0.875,bilinear,-65.543,-35.437,+10
ssl_resnext101_32x8d,29.040,70.960,60.973,39.027,88.79,224,0.875,bilinear,-66.430,-38.137,+6
tf_efficientnet_b4,26.293,73.707,60.107,39.893,19.34,380,0.922,bicubic,-69.607,-39.063,-8
tf_efficientnet_b4_ap,26.240,73.760,60.227,39.773,19.34,380,0.922,bicubic,-69.920,-39.053,-11
ecaresnet101d,26.027,73.973,58.987,41.013,44.57,224,0.875,bicubic,-69.503,-40.143,+2
ssl_resnext101_32x4d,24.173,75.827,57.413,42.587,44.18,224,0.875,bilinear,-71.267,-41.717,+3
tf_efficientnet_b2_ns,24.013,75.987,57.293,42.707,9.11,260,0.890,bicubic,-71.757,-41.827,-5
nasnetalarge,23.493,76.507,55.027,44.973,88.75,331,0.911,bicubic,-72.187,-43.903,-3
efficientnet_b3,23.453,76.547,56.587,43.413,12.23,300,0.904,bicubic,-72.127,-42.513,-3
pnasnet5large,23.333,76.667,53.640,46.360,86.06,331,0.911,bicubic,-72.377,-45.280,-6
efficientnet_b3a,23.213,76.787,55.960,44.040,12.23,320,1.000,bicubic,-72.497,-43.080,-8
regnety_032,21.867,78.133,55.267,44.733,19.44,224,0.875,bicubic,-73.493,-43.813,0
resnest50d_4s2x40d,20.387,79.613,52.800,47.200,30.42,224,0.875,bicubic,-74.573,-46.270,+10
ssl_resnext50_32x4d,20.000,80.000,53.613,46.387,25.03,224,0.875,bilinear,-74.870,-45.267,+15
tresnet_xl,19.640,80.360,53.133,46.867,78.44,224,0.875,bilinear,-75.800,-45.917,-5
gluon_senet154,19.307,80.693,47.533,52.467,115.09,224,0.875,bicubic,-75.613,-51.227,+10
rexnet_200,19.227,80.773,52.720,47.280,16.37,224,0.875,bicubic,-75.713,-46.290,+7
legacy_senet154,19.053,80.947,47.947,52.053,115.09,224,0.875,bilinear,-76.017,-50.883,0
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,-5
seresnext50_32x4d,18.360,81.640,50.973,49.027,27.56,224,0.875,bicubic,-76.680,-47.907,-1
ecaresnet50d,18.227,81.773,51.880,48.120,25.58,224,0.875,bicubic,-76.403,-47.010,+16
tf_efficientnet_lite4,18.133,81.867,50.707,49.293,13.01,380,0.920,bilinear,-76.757,-48.313,+5
resnest50d_1s4x24d,17.693,82.307,49.800,50.200,25.68,224,0.875,bicubic,-77.057,-49.180,+8
gluon_seresnext101_32x4d,17.373,82.627,46.373,53.627,48.96,224,0.875,bicubic,-77.547,-52.437,+2
resnest50d,17.373,82.627,50.707,49.293,27.48,224,0.875,bilinear,-77.457,-48.173,+4
inception_v4,17.267,82.733,45.920,54.080,42.68,299,0.875,bicubic,-77.113,-52.660,+26
tf_efficientnet_b3_ap,17.187,82.813,49.680,50.320,12.23,300,0.904,bicubic,-78.133,-49.220,-15
tf_efficientnet_b3,17.000,83.000,49.267,50.733,12.23,300,0.904,bicubic,-78.010,-49.643,-8
xception71,17.000,83.000,45.520,54.480,42.34,299,0.903,bicubic,-77.280,-53.120,+29
gluon_resnext101_64x4d,16.853,83.147,44.213,55.787,83.46,224,0.875,bicubic,-77.817,-54.437,+5
tresnet_l,16.600,83.400,49.920,50.080,55.99,224,0.875,bilinear,-78.690,-49.090,-18
gluon_resnet152_v1d,16.573,83.427,44.280,55.720,60.21,224,0.875,bicubic,-78.167,-54.460,0
gluon_resnet152_v1s,16.573,83.427,44.533,55.467,60.32,224,0.875,bicubic,-78.467,-54.397,-15
inception_resnet_v2,16.573,83.427,44.960,55.040,55.84,299,0.897,bicubic,-77.967,-53.830,+9
vit_base_patch16_224,16.493,83.507,47.427,52.573,86.54,224,0.900,bicubic,-77.307,-51.043,+58
gluon_xception65,16.440,83.560,46.027,53.973,39.92,299,0.903,bicubic,-77.820,-52.543,+23
wide_resnet50_2,16.280,83.720,48.347,51.653,68.88,224,0.875,bicubic,-78.800,-50.633,-22
ens_adv_inception_resnet_v2,16.240,83.760,43.640,56.360,55.84,299,0.897,bicubic,-77.920,-54.960,+32
xception65,16.027,83.973,43.773,56.227,39.92,299,0.903,bicubic,-77.733,-54.597,+56
ssl_resnet50,15.960,84.040,49.467,50.533,25.56,224,0.875,bilinear,-78.490,-49.453,+11
regnety_320,15.627,84.373,44.827,55.173,145.05,224,0.875,bicubic,-78.913,-54.023,+3
ecaresnet101d_pruned,15.600,84.400,48.027,51.973,24.88,224,0.875,bicubic,-79.480,-50.943,-26
skresnext50_32x4d,15.373,84.627,44.493,55.507,27.48,224,0.875,bicubic,-78.887,-53.967,+18
ecaresnetlight,15.160,84.840,45.813,54.187,30.16,224,0.875,bicubic,-79.610,-52.987,-14
rexnet_150,14.720,85.280,46.907,53.093,9.73,224,0.875,bicubic,-79.760,-51.773,+2
efficientnet_b2a,14.440,85.560,46.080,53.920,9.11,288,1.000,bicubic,-80.170,-52.630,-6
seresnet50,14.147,85.853,45.467,54.533,28.09,224,0.875,bicubic,-80.403,-53.283,-6
legacy_seresnext101_32x4d,14.147,85.853,42.973,57.027,48.96,224,0.875,bilinear,-80.223,-55.677,+6
gluon_resnext101_32x4d,13.867,86.133,41.653,58.347,44.18,224,0.875,bicubic,-80.663,-56.977,-4
gluon_seresnext50_32x4d,13.600,86.400,43.760,56.240,27.56,224,0.875,bicubic,-80.740,-55.090,+6
ese_vovnet39b,13.320,86.680,43.813,56.187,24.57,224,0.875,bicubic,-80.770,-54.847,+26
efficientnet_b2,13.307,86.693,44.440,55.560,9.11,260,0.875,bicubic,-81.393,-54.230,-18
regnetx_320,13.307,86.693,40.720,59.280,107.81,224,0.875,bicubic,-81.153,-58.020,-3
efficientnet_b3_pruned,13.173,86.827,45.213,54.787,9.86,300,0.904,bicubic,-81.457,-53.547,-16
gluon_resnet101_v1d,13.160,86.840,41.493,58.507,44.57,224,0.875,bicubic,-81.060,-57.237,+9
mixnet_xl,13.120,86.880,43.253,56.747,11.90,224,0.875,bicubic,-81.070,-55.087,+11
gluon_inception_v3,12.640,87.360,40.493,59.507,23.83,299,0.875,bicubic,-80.820,-58.037,+58
tresnet_m,12.600,87.400,41.893,58.107,31.39,224,0.875,bilinear,-82.020,-56.657,-19
regnety_120,12.427,87.573,42.200,57.800,51.82,224,0.875,bicubic,-82.053,-56.610,-11
efficientnet_em,12.360,87.640,43.880,56.120,6.90,240,0.882,bicubic,-81.480,-54.930,+29
regnety_160,12.200,87.800,41.320,58.680,83.59,224,0.875,bicubic,-82.140,-57.290,-6
vit_small_patch16_224,12.147,87.853,40.320,59.680,48.75,224,0.900,bicubic,-80.613,-57.610,+85
hrnet_w64,12.027,87.973,40.787,59.213,128.06,224,0.875,bilinear,-81.983,-57.823,+17
cspdarknet53,12.013,87.987,43.253,56.747,27.64,256,0.887,bilinear,-82.647,-55.547,-28
gluon_resnet101_v1s,11.880,88.120,40.973,59.027,44.67,224,0.875,bicubic,-82.840,-57.847,-32
resnet50d,11.693,88.307,42.453,57.547,25.58,224,0.875,bicubic,-82.567,-56.267,-6
dpn92,11.627,88.373,40.267,59.733,37.67,224,0.875,bicubic,-82.603,-58.463,-4
xception41,11.600,88.400,39.133,60.867,26.97,299,0.903,bicubic,-81.830,-59.297,+49
dla102x2,11.573,88.427,41.293,58.707,41.28,224,0.875,bilinear,-82.377,-57.197,+13
regnety_080,11.413,88.587,40.613,59.387,39.18,224,0.875,bicubic,-82.757,-58.067,-1
efficientnet_b2_pruned,11.360,88.640,42.027,57.973,8.31,260,0.890,bicubic,-82.780,-56.503,+2
gluon_resnet152_v1c,11.093,88.907,37.120,62.880,60.21,224,0.875,bicubic,-83.067,-61.520,-1
dpn107,11.080,88.920,38.693,61.307,86.92,224,0.875,bicubic,-83.230,-59.787,-16
hrnet_w48,11.080,88.920,40.320,59.680,77.47,224,0.875,bilinear,-82.840,-58.290,+9
ecaresnet50d_pruned,11.027,88.973,41.947,58.053,19.94,224,0.875,bicubic,-83.193,-56.603,-10
adv_inception_v3,11.013,88.987,36.720,63.280,23.83,299,0.875,bicubic,-81.867,-61.420,+65
tf_efficientnet_el,10.960,89.040,41.773,58.227,10.59,300,0.904,bicubic,-83.630,-56.977,-36
tf_efficientnet_b0_ns,10.933,89.067,40.067,59.933,5.29,224,0.875,bicubic,-82.697,-58.573,+26
tf_inception_v3,10.840,89.160,36.867,63.133,23.83,299,0.875,bicubic,-82.480,-61.163,+43
resnext50_32x4d,10.800,89.200,40.307,59.693,25.03,224,0.875,bicubic,-83.300,-58.043,-4
dpn131,10.787,89.213,37.200,62.800,79.25,224,0.875,bicubic,-83.223,-61.520,-2
tf_efficientnet_b2_ap,10.533,89.467,40.107,59.893,9.11,260,0.890,bicubic,-83.957,-58.513,-36
resnext50d_32x4d,10.413,89.587,39.733,60.267,25.05,224,0.875,bicubic,-83.767,-58.837,-15
rexnet_130,10.400,89.600,41.547,58.453,7.56,224,0.875,bicubic,-83.500,-56.853,0
hrnet_w44,10.320,89.680,39.507,60.493,67.06,224,0.875,bilinear,-83.230,-59.193,+22
resnext101_32x8d,10.187,89.813,37.827,62.173,88.79,224,0.875,bilinear,-83.643,-60.753,+4
regnetx_160,10.147,89.853,38.000,62.000,54.28,224,0.875,bicubic,-83.973,-60.750,-12
dpn98,10.133,89.867,36.587,63.413,61.57,224,0.875,bicubic,-83.997,-61.983,-14
cspresnext50,10.120,89.880,40.373,59.627,20.57,224,0.875,bilinear,-84.360,-58.417,-40
legacy_seresnext50_32x4d,10.107,89.893,39.200,60.800,27.56,224,0.875,bilinear,-83.623,-59.380,+9
inception_v3,10.027,89.973,35.227,64.773,23.83,299,0.875,bicubic,-82.693,-62.743,+60
xception,9.987,90.013,38.027,61.973,22.86,299,0.897,bicubic,-83.473,-60.543,+22
regnety_064,9.947,90.053,39.067,60.933,30.58,224,0.875,bicubic,-84.203,-59.663,-21
dpn68b,9.787,90.213,38.053,61.947,12.61,224,0.875,bicubic,-83.903,-60.457,+7
gluon_resnet152_v1b,9.747,90.253,36.067,63.933,60.19,224,0.875,bicubic,-84.333,-62.383,-17
tf_efficientnet_lite3,9.667,90.333,39.000,61.000,8.20,300,0.904,bilinear,-84.533,-59.640,-30
tf_efficientnet_b2,9.653,90.347,38.880,61.120,9.11,260,0.890,bicubic,-84.707,-59.730,-43
tf_efficientnet_cc_b1_8e,9.573,90.427,36.773,63.227,39.72,240,0.882,bicubic,-84.327,-61.487,-13
res2net101_26w_4s,9.520,90.480,35.027,64.973,45.21,224,0.875,bilinear,-84.230,-63.353,-3
legacy_seresnet152,9.347,90.653,37.413,62.587,66.82,224,0.875,bilinear,-84.053,-60.937,+19
seresnext26t_32x4d,9.347,90.653,37.520,62.480,16.82,224,0.875,bicubic,-83.723,-60.590,+33
cspresnet50,9.253,90.747,39.640,60.360,21.62,256,0.887,bilinear,-84.487,-59.000,-4
hrnet_w40,9.227,90.773,36.893,63.107,57.56,224,0.875,bilinear,-84.263,-61.687,+9
regnetx_120,9.187,90.813,37.200,62.800,46.11,224,0.875,bicubic,-85.053,-61.450,-42
seresnext26d_32x4d,9.147,90.853,36.840,63.160,16.81,224,0.875,bicubic,-83.553,-61.310,+47
efficientnet_b1,9.120,90.880,37.360,62.640,7.79,240,0.875,bicubic,-84.140,-60.810,+21
resnest26d,9.080,90.920,37.853,62.147,17.07,224,0.875,bilinear,-84.250,-60.777,+14
regnety_040,9.000,91.000,37.053,62.947,20.65,224,0.875,bicubic,-84.860,-61.597,-20
gluon_resnext50_32x4d,8.947,91.053,36.333,63.667,25.03,224,0.875,bicubic,-84.863,-62.077,-18
rexnet_100,8.893,91.107,36.373,63.627,4.80,224,0.875,bicubic,-84.137,-61.817,+28
seresnext26tn_32x4d,8.893,91.107,36.907,63.093,16.81,224,0.875,bicubic,-83.927,-61.463,+33
mixnet_l,8.853,91.147,36.187,63.813,7.33,224,0.875,bicubic,-84.597,-62.033,+4
dla169,8.640,91.360,36.040,63.960,53.39,224,0.875,bilinear,-84.700,-62.560,+7
hrnet_w30,8.613,91.387,37.040,62.960,37.71,224,0.875,bilinear,-84.587,-61.370,+14
legacy_seresnet101,8.533,91.467,36.013,63.987,49.33,224,0.875,bilinear,-84.747,-62.497,+11
tf_efficientnet_b1_ap,8.453,91.547,35.253,64.747,7.79,240,0.882,bicubic,-85.237,-63.107,-14
resnetblur50,8.240,91.760,37.400,62.600,25.56,224,0.875,bicubic,-85.720,-61.190,-36
dla102x,8.200,91.800,37.013,62.987,26.31,224,0.875,bilinear,-85.320,-61.497,-8
hrnet_w32,8.040,91.960,37.507,62.493,41.23,224,0.875,bilinear,-85.490,-60.943,-10
res2net50_26w_8s,8.000,92.000,33.853,66.147,48.40,224,0.875,bilinear,-85.540,-64.407,-12
gluon_resnet101_v1c,7.987,92.013,33.360,66.640,44.57,224,0.875,bicubic,-85.683,-65.060,-18
gluon_resnet50_v1d,7.920,92.080,35.000,65.000,25.58,224,0.875,bicubic,-85.850,-63.390,-28
dla60_res2next,7.787,92.213,34.987,65.013,17.03,224,0.875,bilinear,-85.393,-63.433,+6
densenetblur121d,7.720,92.280,34.733,65.267,8.00,224,0.875,bicubic,-84.190,-63.337,+54
dla60_res2net,7.560,92.440,34.627,65.373,20.85,224,0.875,bilinear,-85.620,-63.783,+5
efficientnet_b1_pruned,7.440,92.560,34.533,65.467,6.33,240,0.882,bicubic,-85.330,-63.507,+20
wide_resnet101_2,7.360,92.640,34.147,65.853,126.89,224,0.875,bilinear,-86.360,-64.393,-27
regnetx_064,7.333,92.667,34.373,65.627,26.21,224,0.875,bicubic,-86.557,-64.257,-42
gluon_resnet101_v1b,7.227,92.773,32.773,67.227,44.55,224,0.875,bicubic,-86.523,-65.537,-32
gluon_resnet50_v1s,7.213,92.787,33.507,66.493,25.68,224,0.875,bicubic,-86.407,-64.953,-26
efficientnet_b0,7.213,92.787,34.013,65.987,5.29,224,0.875,bicubic,-85.477,-64.057,+23
tf_mixnet_l,7.147,92.853,31.613,68.387,7.33,224,0.875,bicubic,-86.163,-66.417,-9
tf_efficientnet_b1,7.133,92.867,33.040,66.960,7.79,240,0.882,bicubic,-86.367,-65.320,-22
tf_efficientnet_cc_b0_8e,7.120,92.880,31.787,68.213,24.01,224,0.875,bicubic,-85.710,-66.393,+9
ese_vovnet19b_dw,6.733,93.267,33.413,66.587,6.54,224,0.875,bicubic,-85.557,-64.677,+34
selecsls60b,6.733,93.267,33.267,66.733,32.77,224,0.875,bicubic,-86.567,-65.013,-12
efficientnet_es,6.707,93.293,33.840,66.160,5.44,224,0.875,bicubic,-86.433,-64.580,-6
res2net50_26w_6s,6.693,93.307,31.653,68.347,37.05,224,0.875,bilinear,-86.717,-66.627,-20
legacy_seresnext26_32x4d,6.627,93.373,33.253,66.747,16.79,224,0.875,bicubic,-86.013,-64.877,+17
mixnet_m,6.627,93.373,32.053,67.947,5.01,224,0.875,bicubic,-85.803,-65.817,+24
skresnet34,6.480,93.520,31.547,68.453,22.28,224,0.875,bicubic,-85.910,-66.603,+25
dla60x,6.427,93.573,34.080,65.920,17.35,224,0.875,bilinear,-86.693,-64.430,-10
resnet34d,6.400,93.600,31.493,68.507,21.82,224,0.875,bicubic,-86.280,-66.817,+11
regnetx_080,6.307,93.693,32.320,67.680,39.57,224,0.875,bicubic,-87.563,-66.200,-57
swsl_resnet18,6.240,93.760,31.600,68.400,11.69,224,0.875,bilinear,-84.450,-66.100,+58
legacy_seresnet50,6.187,93.813,32.653,67.347,28.09,224,0.875,bilinear,-86.773,-65.537,-6
tv_resnet152,6.040,93.960,32.053,67.947,60.19,224,0.875,bilinear,-87.260,-66.337,-22
regnetx_040,5.973,94.027,31.547,68.453,22.12,224,0.875,bicubic,-87.587,-66.993,-42
tf_efficientnet_cc_b0_4e,5.973,94.027,29.600,70.400,13.31,224,0.875,bicubic,-86.617,-68.480,+9
resnet50,5.933,94.067,29.093,70.907,25.56,224,0.875,bicubic,-87.877,-69.297,-58
dla102,5.880,94.120,32.707,67.293,33.27,224,0.875,bilinear,-87.180,-65.833,-16
regnety_016,5.680,94.320,30.413,69.587,11.20,224,0.875,bicubic,-87.350,-67.947,-15
selecsls60,5.653,94.347,32.507,67.493,30.67,224,0.875,bicubic,-87.377,-65.793,-14
res2next50,5.627,94.373,30.867,69.133,24.67,224,0.875,bilinear,-87.213,-67.313,-12
tf_efficientnet_em,5.520,94.480,32.173,67.827,6.90,240,0.882,bicubic,-87.960,-66.267,-42
hrnet_w18,5.493,94.507,30.960,69.040,21.30,224,0.875,bilinear,-86.827,-67.280,+12
resnest14d,5.480,94.520,28.547,71.453,10.61,224,0.875,bilinear,-86.240,-69.323,+26
tf_efficientnet_lite2,5.360,94.640,30.907,69.093,6.09,260,0.890,bicubic,-87.290,-67.323,-3
tf_efficientnet_b0_ap,5.307,94.693,28.813,71.187,5.29,224,0.875,bicubic,-86.893,-69.207,+14
densenet121,5.293,94.707,29.907,70.093,7.98,224,0.875,bicubic,-86.277,-68.123,+24
res2net50_26w_4s,5.160,94.840,29.360,70.640,25.70,224,0.875,bilinear,-87.340,-68.930,+1
tf_mixnet_m,5.080,94.920,28.147,71.853,5.01,224,0.875,bicubic,-87.250,-69.743,+5
tf_efficientnet_b0,5.067,94.933,28.800,71.200,5.29,224,0.875,bicubic,-87.183,-69.200,+7
mobilenetv3_large_100,5.067,94.933,28.187,71.813,5.48,224,0.875,bicubic,-86.253,-69.523,+24
res2net50_14w_8s,5.040,94.960,28.773,71.227,25.06,224,0.875,bilinear,-87.700,-69.407,-16
mixnet_s,4.907,95.093,28.573,71.427,4.13,224,0.875,bicubic,-86.923,-69.287,+15
mobilenetv3_rw,4.907,95.093,29.853,70.147,5.48,224,0.875,bicubic,-86.303,-67.807,+23
gluon_resnet50_v1c,4.893,95.107,28.147,71.853,25.58,224,0.875,bicubic,-88.137,-70.243,-32
regnetx_032,4.853,95.147,30.280,69.720,15.30,224,0.875,bicubic,-88.267,-68.110,-36
tv_resnext50_32x4d,4.840,95.160,30.307,69.693,25.03,224,0.875,bilinear,-87.900,-67.963,-20
tv_resnet101,4.707,95.293,29.333,70.667,44.55,224,0.875,bilinear,-88.103,-68.917,-26
densenet161,4.693,95.307,29.547,70.453,28.68,224,0.875,bicubic,-87.807,-68.513,-9
selecsls42b,4.667,95.333,28.587,71.413,32.46,224,0.875,bicubic,-87.613,-69.563,-3
tf_efficientnet_lite1,4.613,95.387,28.387,71.613,5.42,240,0.882,bicubic,-88.007,-69.693,-17
mobilenetv2_120d,4.533,95.467,29.280,70.720,5.83,224,0.875,bicubic,-87.867,-68.770,-10
fbnetc_100,4.133,95.867,25.933,74.067,5.57,224,0.875,bilinear,-86.567,-71.277,+26
densenet201,4.120,95.880,27.547,72.453,20.01,224,0.875,bicubic,-88.630,-70.683,-29
gluon_resnet50_v1b,4.120,95.880,26.933,73.067,25.56,224,0.875,bicubic,-88.420,-71.237,-17
resnet26d,4.040,95.960,28.520,71.480,16.01,224,0.875,bicubic,-88.030,-69.440,-4
semnasnet_100,3.960,96.040,26.947,73.053,3.89,224,0.875,bicubic,-87.320,-70.613,+8
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,-6
regnety_008,3.813,96.187,27.133,72.867,6.26,224,0.875,bicubic,-87.937,-71.047,-1
dla60,3.773,96.227,27.933,72.067,22.04,224,0.875,bilinear,-88.457,-70.177,-12
ssl_resnet18,3.747,96.253,25.427,74.573,11.69,224,0.875,bilinear,-86.473,-72.123,+23
mobilenetv2_140,3.720,96.280,26.747,73.253,6.11,224,0.875,bicubic,-88.110,-70.943,-6
densenet169,3.707,96.293,25.613,74.387,14.15,224,0.875,bicubic,-88.223,-72.487,-10
regnetx_016,3.627,96.373,26.293,73.707,9.19,224,0.875,bicubic,-88.543,-71.917,-14
res2net50_48w_2s,3.587,96.413,26.613,73.387,25.29,224,0.875,bilinear,-88.963,-71.467,-30
spnasnet_100,3.547,96.453,24.293,75.707,4.42,224,0.875,bilinear,-86.803,-72.897,+17
tf_mobilenetv3_large_100,3.547,96.453,25.053,74.947,5.48,224,0.875,bilinear,-87.693,-72.607,-2
regnety_006,3.467,96.533,24.893,75.107,6.06,224,0.875,bicubic,-87.903,-72.817,-6
tf_efficientnet_es,3.427,96.573,27.493,72.507,5.44,224,0.875,bicubic,-89.123,-70.787,-33
legacy_seresnet34,3.333,96.667,23.800,76.200,21.96,224,0.875,bilinear,-87.557,-73.780,+5
efficientnet_lite0,3.253,96.747,25.867,74.133,4.65,224,0.875,bicubic,-87.887,-71.763,-3
dla34,3.227,96.773,23.573,76.427,15.74,224,0.875,bilinear,-87.533,-74.087,+5
regnety_004,3.200,96.800,22.653,77.347,4.34,224,0.875,bicubic,-87.300,-74.887,+8
mobilenetv2_110d,3.173,96.827,24.587,75.413,4.52,224,0.875,bicubic,-87.777,-72.963,0
mnasnet_100,3.120,96.880,24.227,75.773,4.38,224,0.875,bicubic,-87.390,-73.243,+5
tf_efficientnet_lite0,3.080,96.920,22.907,77.093,4.65,224,0.875,bicubic,-87.960,-74.683,-4
skresnet18,3.013,96.987,22.800,77.200,11.96,224,0.875,bicubic,-86.647,-74.430,+10
resnet34,2.920,97.080,23.680,76.320,21.80,224,0.875,bilinear,-88.210,-73.940,-9
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,-13
gluon_resnet34_v1b,2.667,97.333,21.680,78.320,21.80,224,0.875,bicubic,-88.293,-75.950,-8
regnetx_008,2.653,97.347,22.453,77.547,7.26,224,0.875,bicubic,-88.397,-75.257,-11
resnet18d,2.600,97.400,21.613,78.387,11.71,224,0.875,bicubic,-86.680,-75.537,+6
tv_densenet121,2.560,97.440,22.667,77.333,7.98,224,0.875,bicubic,-88.330,-75.043,-8
regnetx_006,2.507,97.493,20.653,79.347,6.20,224,0.875,bicubic,-87.843,-76.777,-3
legacy_seresnet18,2.493,97.507,20.080,79.920,11.78,224,0.875,bicubic,-86.387,-76.900,+7
resnet26,2.480,97.520,22.987,77.013,16.00,224,0.875,bicubic,-88.630,-74.753,-17
regnety_002,2.147,97.853,18.880,81.120,3.16,224,0.875,bicubic,-85.233,-77.710,+7
mobilenetv2_100,2.147,97.853,19.907,80.093,3.50,224,0.875,bicubic,-87.453,-77.233,0
tf_mobilenetv3_small_100,2.013,97.987,15.867,84.133,2.54,224,0.875,bilinear,-83.177,-79.903,+9
tf_mobilenetv3_small_075,2.000,98.000,14.813,85.187,2.04,224,0.875,bilinear,-81.520,-79.977,+11
regnetx_004,1.960,98.040,19.173,80.827,5.16,224,0.875,bicubic,-86.940,-77.947,0
tv_resnet34,1.867,98.133,20.000,80.000,21.80,224,0.875,bilinear,-88.073,-77.340,-8
dla46x_c,1.760,98.240,16.480,83.520,1.07,224,0.875,bilinear,-82.490,-78.790,+6
tf_mobilenetv3_large_minimal_100,1.627,98.373,17.120,82.880,3.92,224,0.875,bilinear,-87.343,-79.740,-4
dla60x_c,1.613,98.387,18.040,81.960,1.32,224,0.875,bilinear,-84.677,-78.120,+1
gluon_resnet18_v1b,1.547,98.453,16.613,83.387,11.69,224,0.875,bicubic,-86.853,-80.067,-3
hrnet_w18_small,1.533,98.467,18.120,81.880,13.19,224,0.875,bilinear,-87.517,-78.990,-8
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,-6
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,-48
tf_efficientnet_l2_ns,84.707,15.293,96.040,3.960,480.31,800,0.960,bicubic,-12.063,-3.410,-2
tf_efficientnet_l2_ns_475,83.360,16.640,95.480,4.520,480.31,475,0.936,bicubic,-13.210,-3.920,-2
tf_efficientnet_b7_ns,66.880,33.120,88.507,11.493,66.35,600,0.949,bicubic,-31.660,-11.313,-2
tf_efficientnet_b6_ns,61.640,38.360,84.787,15.213,43.04,528,0.942,bicubic,-36.240,-14.933,-1
ig_resnext101_32x48d,61.040,38.960,83.253,16.747,828.41,224,0.875,bilinear,-37.450,-16.577,-3
tf_efficientnet_b5_ns,59.787,40.213,84.213,15.787,30.39,456,0.934,bicubic,-37.853,-15.487,-2
resnetv2_152x4_bitm,59.560,40.440,83.147,16.853,936.53,480,1.000,bilinear,-38.070,-16.433,-2
ig_resnext101_32x32d,57.933,42.067,80.760,19.240,468.53,224,0.875,bilinear,-39.557,-18.870,-2
vit_base_resnet50_384,54.333,45.667,80.827,19.173,98.95,384,1.000,bicubic,-42.867,-18.713,+1
resnetv2_152x2_bitm,53.773,46.227,81.840,18.160,236.34,480,1.000,bilinear,-43.417,-17.730,+1
vit_large_patch16_384,53.053,46.947,79.853,20.147,304.72,384,1.000,bicubic,-44.127,-19.707,+1
ig_resnext101_32x16d,53.040,46.960,76.853,23.147,194.03,224,0.875,bilinear,-43.970,-22.667,+6
resnetv2_101x3_bitm,52.307,47.693,80.227,19.773,387.93,480,1.000,bilinear,-44.803,-19.433,+2
swsl_resnext101_32x8d,51.160,48.840,78.213,21.787,88.79,224,0.875,bilinear,-46.050,-21.287,-5
tf_efficientnet_b4_ns,50.907,49.093,79.040,20.960,19.34,380,0.922,bicubic,-46.173,-20.580,+2
vit_base_patch16_384,50.027,49.973,77.600,22.400,86.86,384,1.000,bicubic,-46.713,-21.740,+6
tf_efficientnet_b8,47.987,52.013,76.467,23.533,87.41,672,0.954,bicubic,-49.493,-23.143,-10
resnest269e,47.653,52.347,74.013,25.987,110.93,416,0.928,bicubic,-48.867,-25.337,+10
resnetv2_50x3_bitm,46.533,53.467,76.760,23.240,217.32,480,1.000,bilinear,-50.397,-22.820,0
tf_efficientnet_b8_ap,46.453,53.547,76.160,23.840,87.41,672,0.954,bicubic,-50.677,-23.430,-7
swsl_resnext101_32x16d,46.027,53.973,72.067,27.933,194.03,224,0.875,bilinear,-50.593,-27.283,+5
tf_efficientnet_b7_ap,45.267,54.733,74.027,25.973,66.35,600,0.949,bicubic,-52.093,-25.653,-14
ig_resnext101_32x8d,45.227,54.773,70.853,29.147,88.79,224,0.875,bilinear,-51.083,-28.577,+10
resnest200e,43.867,56.133,73.293,26.707,70.20,320,0.909,bicubic,-52.803,-26.077,+1
tresnet_xl_448,43.187,56.813,72.133,27.867,78.44,448,0.875,bilinear,-52.783,-26.987,+14
tf_efficientnet_b7,42.213,57.787,72.547,27.453,66.35,600,0.949,bicubic,-54.867,-26.963,-10
swsl_resnext101_32x4d,41.627,58.373,71.880,28.120,44.18,224,0.875,bilinear,-54.783,-27.590,+2
tf_efficientnet_b6_ap,40.320,59.680,71.387,28.613,43.04,528,0.942,bicubic,-56.800,-28.253,-14
tresnet_l_448,40.133,59.867,69.707,30.293,55.99,448,0.875,bilinear,-55.727,-29.413,+15
resnetv2_101x1_bitm,38.747,61.253,71.000,29.000,44.54,480,1.000,bilinear,-57.323,-28.300,+7
resnet200d_320,37.813,62.187,68.200,31.800,64.69,320,1.000,bicubic,-58.967,-31.220,-10
seresnet152d_320,37.453,62.547,69.053,30.947,66.84,320,1.000,bicubic,-59.377,-30.537,+21
tf_efficientnet_b3_ns,35.480,64.520,67.720,32.280,12.23,300,0.904,bicubic,-60.890,-31.630,-2
vit_large_patch16_224,35.240,64.760,64.320,35.680,304.33,224,0.900,bicubic,-60.700,-34.920,+7
tf_efficientnet_b6,34.947,65.053,67.293,32.707,43.04,528,0.942,bicubic,-61.743,-32.167,-10
tf_efficientnet_b5_ap,34.333,65.667,67.053,32.947,30.39,456,0.934,bicubic,-62.377,-32.457,-12
resnet152d_320,33.720,66.280,65.467,34.533,60.21,320,1.000,bicubic,-62.630,-33.923,-5
tresnet_m_448,33.627,66.373,64.293,35.707,31.39,448,0.875,bilinear,-61.363,-34.687,+32
vit_base_patch32_384,33.160,66.840,64.680,35.320,88.30,384,1.000,bicubic,-62.650,-34.470,+9
swsl_resnext50_32x4d,33.027,66.973,65.173,34.827,25.03,224,0.875,bilinear,-62.853,-34.077,+4
ssl_resnext101_32x16d,32.373,67.627,63.693,36.307,194.03,224,0.875,bilinear,-63.437,-35.487,+6
seresnet152d,31.600,68.400,63.373,36.627,66.84,256,0.940,bicubic,-65.000,-36.147,+27
resnest101e,31.600,68.400,64.053,35.947,48.28,256,0.875,bilinear,-64.250,-35.157,+4
vit_base_patch16_224,31.573,68.427,61.213,38.787,86.57,224,0.900,bicubic,-63.767,-37.787,+16
tf_efficientnet_b5,31.107,68.893,64.507,35.493,30.39,456,0.934,bicubic,-65.233,-34.803,-11
resnet200d,30.053,69.947,61.160,38.840,64.69,256,0.940,bicubic,-66.237,-38.090,-9
swsl_resnet50,29.787,70.213,63.800,36.200,25.56,224,0.875,bilinear,-65.623,-35.480,+11
ssl_resnext101_32x8d,28.853,71.147,60.627,39.373,88.79,224,0.875,bilinear,-66.617,-38.483,+7
resnet101d_320,28.747,71.253,62.013,37.987,44.57,320,1.000,bicubic,-67.543,-37.217,-13
resnetv2_50x1_bitm,27.453,72.547,63.133,36.867,25.55,480,1.000,bilinear,-67.587,-36.027,+18
resnet152d,25.947,74.053,58.573,41.427,60.21,256,0.940,bicubic,-70.043,-40.687,-11
tf_efficientnet_b4,25.867,74.133,59.880,40.120,19.34,380,0.922,bicubic,-70.023,-39.290,-8
tf_efficientnet_b4_ap,25.827,74.173,59.613,40.387,19.34,380,0.922,bicubic,-70.343,-39.667,-15
ecaresnet101d,25.773,74.227,58.720,41.280,44.57,224,0.875,bicubic,-69.767,-40.410,0
tf_efficientnet_b2_ns,24.120,75.880,57.480,42.520,9.11,260,0.890,bicubic,-71.620,-41.640,-5
ssl_resnext101_32x4d,23.760,76.240,57.160,42.840,44.18,224,0.875,bilinear,-71.670,-41.970,+1
efficientnet_b3,23.587,76.413,56.440,43.560,12.23,300,0.904,bicubic,-71.993,-42.660,-4
efficientnet_b3a,23.120,76.880,55.813,44.187,12.23,320,1.000,bicubic,-72.600,-43.227,-7
nasnetalarge,23.120,76.880,54.560,45.440,88.75,331,0.911,bicubic,-72.560,-44.370,-7
resnet101d,22.240,77.760,54.667,45.333,44.57,256,0.940,bicubic,-73.690,-44.403,-17
regnety_032,21.787,78.213,54.880,45.120,19.44,224,0.875,bicubic,-73.573,-44.220,-2
resnest50d_4s2x40d,20.080,79.920,52.907,47.093,30.42,224,0.875,bicubic,-74.870,-45.913,+10
ssl_resnext50_32x4d,19.680,80.320,53.253,46.747,25.03,224,0.875,bilinear,-75.180,-45.617,+14
tresnet_xl,19.320,80.680,52.867,47.133,78.44,224,0.875,bilinear,-76.120,-46.193,-8
gluon_senet154,19.067,80.933,47.187,52.813,115.09,224,0.875,bicubic,-75.863,-51.583,+9
gluon_seresnext101_64x4d,18.960,81.040,48.960,51.040,88.23,224,0.875,bicubic,-75.990,-50.110,+7
legacy_senet154,18.920,81.080,47.600,52.400,115.09,224,0.875,bilinear,-76.140,-51.230,-1
tf_efficientnet_b1_ns,18.907,81.093,51.667,48.333,7.79,240,0.882,bicubic,-76.263,-47.443,-5
rexnet_200,18.880,81.120,52.587,47.413,16.37,224,0.875,bicubic,-76.050,-46.413,+6
seresnext50_32x4d,18.227,81.773,50.907,49.093,27.56,224,0.875,bicubic,-76.813,-47.983,-1
ecaresnet50d,17.973,82.027,51.480,48.520,25.58,224,0.875,bicubic,-76.647,-47.290,+18
resnest50d_1s4x24d,17.653,82.347,49.613,50.387,25.68,224,0.875,bicubic,-77.107,-49.367,+9
tf_efficientnet_lite4,17.627,82.373,50.253,49.747,13.01,380,0.920,bilinear,-77.233,-48.767,+5
gluon_seresnext101_32x4d,17.360,82.640,46.480,53.520,48.96,224,0.875,bicubic,-77.560,-52.330,+2
resnest50d,17.280,82.720,50.533,49.467,27.48,224,0.875,bilinear,-77.540,-48.347,+4
tf_efficientnet_b3_ap,17.000,83.000,49.387,50.613,12.23,300,0.904,bicubic,-78.320,-49.513,-15
gluon_resnext101_64x4d,16.693,83.307,43.960,56.040,83.46,224,0.875,bicubic,-77.947,-54.700,+9
tf_efficientnet_b3,16.693,83.307,49.107,50.893,12.23,300,0.904,bicubic,-78.317,-49.803,-8
xception71,16.600,83.400,45.240,54.760,42.34,299,0.903,bicubic,-77.690,-53.400,+27
gluon_resnet152_v1s,16.467,83.533,44.200,55.800,60.32,224,0.875,bicubic,-78.583,-54.730,-13
tresnet_l,16.413,83.587,49.573,50.427,55.99,224,0.875,bilinear,-78.877,-49.437,-19
gluon_xception65,16.213,83.787,45.920,54.080,39.92,299,0.903,bicubic,-78.047,-52.650,+26
wide_resnet50_2,16.200,83.800,48.080,51.920,68.88,224,0.875,bicubic,-78.870,-50.890,-18
gluon_resnet152_v1d,16.160,83.840,44.107,55.893,60.21,224,0.875,bicubic,-78.590,-54.633,-2
xception65,15.893,84.107,43.453,56.547,39.92,299,0.903,bicubic,-77.877,-54.907,+56
ssl_resnet50,15.813,84.187,49.280,50.720,25.56,224,0.875,bilinear,-78.677,-49.640,+9
ecaresnet101d_pruned,15.480,84.520,47.947,52.053,24.88,224,0.875,bicubic,-79.590,-51.033,-23
regnety_320,15.453,84.547,44.560,55.440,145.05,224,0.875,bicubic,-79.097,-54.280,+5
ecaresnetlight,15.173,84.827,45.680,54.320,30.16,224,0.875,bicubic,-79.607,-53.120,-9
skresnext50_32x4d,15.120,84.880,44.453,55.547,27.48,224,0.875,bicubic,-79.140,-54.017,+19
rexnet_150,14.360,85.640,46.587,53.413,9.73,224,0.875,bicubic,-80.110,-52.203,+8
efficientnet_b2a,14.307,85.693,45.787,54.213,9.11,288,1.000,bicubic,-80.323,-52.923,-5
seresnet50,14.027,85.973,45.347,54.653,28.09,224,0.875,bicubic,-80.533,-53.403,-1
legacy_seresnext101_32x4d,13.893,86.107,42.640,57.360,48.96,224,0.875,bilinear,-80.467,-56.000,+8
gluon_resnext101_32x4d,13.680,86.320,41.467,58.533,44.18,224,0.875,bicubic,-80.840,-57.163,-1
gluon_seresnext50_32x4d,13.453,86.547,43.507,56.493,27.56,224,0.875,bicubic,-80.897,-55.113,+7
efficientnet_b2,13.253,86.747,44.493,55.507,9.11,260,0.875,bicubic,-81.457,-54.177,-14
regnetx_320,13.160,86.840,40.253,59.747,107.81,224,0.875,bicubic,-81.280,-58.477,+2
ese_vovnet39b,13.147,86.853,43.680,56.320,24.57,224,0.875,bicubic,-80.943,-54.980,+25
mixnet_xl,13.000,87.000,43.133,56.867,11.90,224,0.875,bicubic,-81.190,-55.207,+14
efficientnet_b3_pruned,12.987,87.013,44.813,55.187,9.86,300,0.904,bicubic,-81.633,-54.077,-13
gluon_resnet101_v1d,12.760,87.240,41.267,58.733,44.57,224,0.875,bicubic,-81.440,-57.293,+11
gluon_inception_v3,12.507,87.493,40.200,59.800,23.83,299,0.875,bicubic,-80.953,-58.360,+58
tresnet_m,12.373,87.627,41.547,58.453,31.39,224,0.875,bilinear,-82.237,-57.003,-13
regnety_120,12.240,87.760,41.893,58.107,51.82,224,0.875,bicubic,-82.240,-56.917,-7
regnety_160,12.173,87.827,41.107,58.893,83.59,224,0.875,bicubic,-82.177,-57.743,-2
gluon_resnet101_v1s,12.013,87.987,40.773,59.227,44.67,224,0.875,bicubic,-82.687,-58.047,-23
efficientnet_em,11.947,88.053,43.667,56.333,6.90,240,0.882,bicubic,-81.903,-55.143,+28
vit_small_patch16_224,11.907,88.093,39.920,60.080,48.75,224,0.900,bicubic,-80.863,-58.010,+84
hrnet_w64,11.880,88.120,40.560,59.440,128.06,224,0.875,bilinear,-82.110,-58.050,+17
cspdarknet53,11.680,88.320,42.893,57.107,27.64,256,0.887,bilinear,-82.990,-55.917,-26
resnet50d,11.640,88.360,42.120,57.880,25.58,224,0.875,bicubic,-82.630,-56.600,-5
xception41,11.560,88.440,38.760,61.240,26.97,299,0.903,bicubic,-81.850,-59.660,+51
dla102x2,11.387,88.613,41.267,58.733,41.28,224,0.875,bilinear,-82.563,-57.223,+14
dpn92,11.280,88.720,39.520,60.480,37.67,224,0.875,bicubic,-82.940,-59.210,-4
efficientnet_b2_pruned,11.253,88.747,41.773,58.227,8.31,260,0.890,bicubic,-82.887,-56.747,+4
regnety_080,11.253,88.747,40.613,59.387,39.18,224,0.875,bicubic,-82.927,-58.067,0
tf_efficientnet_b0_ns,11.080,88.920,39.880,60.120,5.29,224,0.875,bicubic,-82.540,-58.760,+33
ecaresnet50d_pruned,11.000,89.000,42.000,58.000,19.94,224,0.875,bicubic,-83.210,-56.730,-7
hrnet_w48,10.853,89.147,39.973,60.027,77.47,224,0.875,bilinear,-83.087,-58.637,+10
tf_inception_v3,10.840,89.160,36.680,63.320,23.83,299,0.875,bicubic,-82.490,-61.360,+47
dpn107,10.827,89.173,38.427,61.573,86.92,224,0.875,bicubic,-83.483,-60.053,-18
adv_inception_v3,10.827,89.173,36.467,63.533,23.83,299,0.875,bicubic,-82.063,-61.663,+65
tf_efficientnet_el,10.800,89.200,41.093,58.907,10.59,300,0.904,bicubic,-83.810,-57.657,-34
gluon_resnet152_v1c,10.760,89.240,36.840,63.160,60.21,224,0.875,bicubic,-83.400,-61.800,-7
resnext50_32x4d,10.627,89.373,40.187,59.813,25.03,224,0.875,bicubic,-83.483,-58.163,-3
dpn131,10.600,89.400,36.973,63.027,79.25,224,0.875,bicubic,-83.400,-61.747,-1
resnext50d_32x4d,10.453,89.547,39.373,60.627,25.05,224,0.875,bicubic,-83.737,-59.207,-13
tf_efficientnet_b2_ap,10.400,89.600,39.747,60.253,9.11,260,0.890,bicubic,-84.090,-58.873,-33
rexnet_130,10.347,89.653,41.387,58.613,7.56,224,0.875,bicubic,-83.553,-57.013,+2
hrnet_w44,10.333,89.667,39.200,60.800,67.06,224,0.875,bilinear,-83.247,-59.500,+21
dpn98,10.107,89.893,36.453,63.547,61.57,224,0.875,bicubic,-84.023,-62.117,-11
cspresnext50,10.093,89.907,40.253,59.747,20.57,224,0.875,bilinear,-84.387,-58.427,-36
regnety_064,10.000,90.000,38.920,61.080,30.58,224,0.875,bicubic,-84.150,-59.810,-15
regnetx_160,9.973,90.027,37.733,62.267,54.28,224,0.875,bicubic,-84.147,-61.007,-13
resnext101_32x8d,9.960,90.040,37.493,62.507,88.79,224,0.875,bilinear,-83.840,-61.087,+3
legacy_seresnext50_32x4d,9.880,90.120,38.973,61.027,27.56,224,0.875,bilinear,-83.840,-59.607,+9
xception,9.880,90.120,37.920,62.080,22.86,299,0.897,bicubic,-83.590,-60.610,+22
inception_v3,9.827,90.173,35.040,64.960,23.83,299,0.875,bicubic,-82.893,-62.920,+58
tf_efficientnet_b2,9.653,90.347,38.640,61.360,9.11,260,0.890,bicubic,-84.717,-59.970,-39
tf_efficientnet_cc_b1_8e,9.613,90.387,36.880,63.120,39.72,240,0.882,bicubic,-84.297,-61.370,-10
dpn68b,9.587,90.413,37.720,62.280,12.61,224,0.875,bicubic,-84.093,-60.800,+6
gluon_resnet152_v1b,9.587,90.413,35.693,64.307,60.19,224,0.875,bicubic,-84.503,-62.757,-18
tf_efficientnet_lite3,9.480,90.520,38.960,61.040,8.20,300,0.904,bilinear,-84.710,-59.680,-28
res2net101_26w_4s,9.413,90.587,34.440,65.560,45.21,224,0.875,bilinear,-84.317,-63.880,-1
legacy_seresnet152,9.240,90.760,37.120,62.880,66.82,224,0.875,bilinear,-84.180,-61.230,+17
cspresnet50,9.213,90.787,39.467,60.533,21.62,256,0.887,bilinear,-84.537,-59.163,-5
efficientnet_b1,9.213,90.787,37.227,62.773,7.79,240,0.875,bicubic,-84.057,-60.963,+25
seresnext26t_32x4d,9.187,90.813,37.187,62.813,16.82,224,0.875,bicubic,-83.873,-60.913,+32
hrnet_w40,9.107,90.893,36.533,63.467,57.56,224,0.875,bilinear,-84.383,-62.057,+9
regnetx_120,9.067,90.933,36.947,63.053,46.11,224,0.875,bicubic,-85.173,-61.723,-41
gluon_resnext50_32x4d,9.027,90.973,36.320,63.680,25.03,224,0.875,bicubic,-84.793,-62.090,-15
resnest26d,9.013,90.987,37.560,62.440,17.07,224,0.875,bilinear,-84.357,-61.080,+13
regnety_040,8.853,91.147,37.000,63.000,20.65,224,0.875,bicubic,-85.007,-61.640,-19
rexnet_100,8.813,91.187,36.240,63.760,4.80,224,0.875,bicubic,-84.217,-61.950,+30
seresnext26tn_32x4d,8.800,91.200,36.600,63.400,16.81,224,0.875,bicubic,-84.010,-61.770,+33
seresnext26d_32x4d,8.800,91.200,36.427,63.573,16.81,224,0.875,bicubic,-83.930,-61.723,+40
mixnet_l,8.747,91.253,36.173,63.827,7.33,224,0.875,bicubic,-84.683,-62.047,+4
hrnet_w30,8.533,91.467,36.827,63.173,37.71,224,0.875,bilinear,-84.677,-61.583,+15
dla169,8.373,91.627,35.907,64.093,53.39,224,0.875,bilinear,-84.967,-62.693,+7
tf_efficientnet_b1_ap,8.333,91.667,35.147,64.853,7.79,240,0.882,bicubic,-85.377,-63.213,-14
legacy_seresnet101,8.267,91.733,35.707,64.293,49.33,224,0.875,bilinear,-85.023,-62.793,+9
resnetblur50,8.200,91.800,37.320,62.680,25.56,224,0.875,bicubic,-85.750,-61.270,-34
dla102x,8.173,91.827,36.827,63.173,26.31,224,0.875,bilinear,-85.347,-61.533,-7
hrnet_w32,7.933,92.067,37.253,62.747,41.23,224,0.875,bilinear,-85.587,-61.247,-10
gluon_resnet50_v1d,7.827,92.173,34.787,65.213,25.58,224,0.875,bicubic,-85.953,-63.613,-26
gluon_resnet101_v1c,7.800,92.200,32.947,67.053,44.57,224,0.875,bicubic,-85.870,-65.463,-18
dla60_res2next,7.747,92.253,34.653,65.347,17.03,224,0.875,bilinear,-85.433,-63.757,+8
res2net50_26w_8s,7.747,92.253,33.480,66.520,48.40,224,0.875,bilinear,-85.793,-64.790,-15
densenetblur121d,7.560,92.440,34.560,65.440,8.00,224,0.875,bicubic,-84.360,-63.530,+53
dla60_res2net,7.347,92.653,34.400,65.600,20.85,224,0.875,bilinear,-85.803,-64.020,+6
regnetx_064,7.320,92.680,34.360,65.640,26.21,224,0.875,bicubic,-86.570,-64.270,-39
wide_resnet101_2,7.307,92.693,33.707,66.293,126.89,224,0.875,bilinear,-86.423,-64.833,-28
efficientnet_b1_pruned,7.280,92.720,34.427,65.573,6.33,240,0.882,bicubic,-85.490,-63.613,+18
efficientnet_b0,7.213,92.787,33.840,66.160,5.29,224,0.875,bicubic,-85.457,-64.240,+25
gluon_resnet101_v1b,7.133,92.867,32.707,67.293,44.55,224,0.875,bicubic,-86.597,-65.693,-33
tf_efficientnet_cc_b0_8e,7.133,92.867,31.667,68.333,24.01,224,0.875,bicubic,-85.687,-66.513,+12
tf_efficientnet_b1,7.120,92.880,33.107,66.893,7.79,240,0.882,bicubic,-86.400,-65.323,-22
gluon_resnet50_v1s,7.080,92.920,33.213,66.787,25.68,224,0.875,bicubic,-86.550,-65.257,-29
tf_mixnet_l,7.067,92.933,31.587,68.413,7.33,224,0.875,bicubic,-86.233,-66.443,-10
mixnet_m,6.667,93.333,32.040,67.960,5.01,224,0.875,bicubic,-85.773,-65.830,+29
ese_vovnet19b_dw,6.653,93.347,33.160,66.840,6.54,224,0.875,bicubic,-85.637,-64.940,+34
selecsls60b,6.627,93.373,33.133,66.867,32.77,224,0.875,bicubic,-86.663,-65.147,-11
efficientnet_es,6.560,93.440,33.693,66.307,5.44,224,0.875,bicubic,-86.640,-64.717,-9
res2net50_26w_6s,6.520,93.480,31.493,68.507,37.05,224,0.875,bilinear,-86.880,-66.787,-20
legacy_seresnext26_32x4d,6.440,93.560,32.893,67.107,16.79,224,0.875,bicubic,-86.190,-65.227,+16
skresnet34,6.387,93.613,31.453,68.547,22.28,224,0.875,bicubic,-85.993,-66.687,+25
regnetx_080,6.373,93.627,32.213,67.787,39.57,224,0.875,bicubic,-87.487,-66.307,-54
resnet34d,6.347,93.653,31.667,68.333,21.82,224,0.875,bicubic,-86.343,-66.633,+10
dla60x,6.320,93.680,33.773,66.227,17.35,224,0.875,bilinear,-86.780,-64.717,-11
swsl_resnet18,6.213,93.787,31.373,68.627,11.69,224,0.875,bilinear,-84.467,-66.337,+58
pnasnet5large,6.200,93.800,19.053,80.947,86.06,331,0.911,bicubic,-4.490,-11.997,+83
legacy_seresnet50,6.040,93.960,32.440,67.560,28.09,224,0.875,bilinear,-86.910,-65.750,-7
tf_efficientnet_cc_b0_4e,5.973,94.027,29.520,70.480,13.31,224,0.875,bicubic,-86.637,-68.560,+10
tv_resnet152,5.973,94.027,31.587,68.413,60.19,224,0.875,bilinear,-87.347,-66.803,-26
dla102,5.827,94.173,32.440,67.560,33.27,224,0.875,bilinear,-87.263,-66.110,-16
regnetx_040,5.800,94.200,31.173,68.827,22.12,224,0.875,bicubic,-87.760,-67.377,-44
resnet50,5.800,94.200,29.067,70.933,25.56,224,0.875,bicubic,-88.010,-69.313,-60
selecsls60,5.720,94.280,32.320,67.680,30.67,224,0.875,bicubic,-87.330,-65.980,-17
inception_v4,5.573,94.427,16.173,83.827,42.68,299,0.875,bicubic,-4.997,-12.087,+77
regnety_016,5.573,94.427,30.293,69.707,11.20,224,0.875,bicubic,-87.457,-68.067,-17
res2next50,5.520,94.480,30.587,69.413,24.67,224,0.875,bilinear,-87.310,-67.583,-14
hrnet_w18,5.467,94.533,30.787,69.213,21.30,224,0.875,bilinear,-86.843,-67.453,+11
tf_efficientnet_lite2,5.387,94.613,30.893,69.107,6.09,260,0.890,bicubic,-87.273,-67.337,-3
inception_resnet_v2,5.360,94.640,16.227,83.773,55.85,299,0.897,bicubic,-5.570,-12.643,+69
resnest14d,5.347,94.653,28.587,71.413,10.61,224,0.875,bilinear,-86.393,-69.283,+23
tf_efficientnet_em,5.347,94.653,31.707,68.293,6.90,240,0.882,bicubic,-88.153,-66.733,-49
tf_efficientnet_b0_ap,5.307,94.693,28.720,71.280,5.29,224,0.875,bicubic,-86.913,-69.390,+10
ens_adv_inception_resnet_v2,5.173,94.827,15.680,84.320,55.85,299,0.897,bicubic,-5.477,-14.810,+67
mobilenetv3_large_100,5.120,94.880,28.040,71.960,5.48,224,0.875,bicubic,-86.210,-69.670,+23
densenet121,5.080,94.920,29.627,70.373,7.98,224,0.875,bicubic,-86.480,-68.393,+19
res2net50_26w_4s,5.067,94.933,28.987,71.013,25.70,224,0.875,bilinear,-87.423,-69.303,-4
tf_efficientnet_b0,5.040,94.960,28.907,71.093,5.29,224,0.875,bicubic,-87.190,-69.093,+4
tf_mixnet_m,5.040,94.960,28.080,71.920,5.01,224,0.875,bicubic,-87.290,-69.810,-1
res2net50_14w_8s,4.907,95.093,28.320,71.680,25.06,224,0.875,bilinear,-87.813,-69.870,-17
regnetx_032,4.880,95.120,29.920,70.080,15.30,224,0.875,bicubic,-88.240,-68.470,-38
mixnet_s,4.827,95.173,28.493,71.507,4.13,224,0.875,bicubic,-86.993,-69.367,+10
mobilenetv3_rw,4.813,95.187,29.520,70.480,5.48,224,0.875,bicubic,-86.397,-68.140,+18
gluon_resnet50_v1c,4.773,95.227,27.773,72.227,25.58,224,0.875,bicubic,-88.257,-70.597,-36
selecsls42b,4.707,95.293,28.320,71.680,32.46,224,0.875,bicubic,-87.593,-69.830,-5
tv_resnext50_32x4d,4.693,95.307,29.813,70.187,25.03,224,0.875,bilinear,-88.067,-68.457,-27
densenet161,4.573,95.427,29.520,70.480,28.68,224,0.875,bicubic,-87.917,-68.540,-13
tv_resnet101,4.547,95.453,28.907,71.093,44.55,224,0.875,bilinear,-88.253,-69.323,-32
tf_efficientnet_lite1,4.467,95.533,28.347,71.653,5.42,240,0.882,bicubic,-88.153,-69.733,-21
mobilenetv2_120d,4.427,95.573,29.040,70.960,5.83,224,0.875,bicubic,-87.973,-69.010,-14
fbnetc_100,4.080,95.920,25.480,74.520,5.57,224,0.875,bilinear,-86.630,-71.730,+22
gluon_resnet50_v1b,4.027,95.973,26.827,73.173,25.56,224,0.875,bicubic,-88.513,-71.363,-20
densenet201,3.987,96.013,27.253,72.747,20.01,224,0.875,bicubic,-88.763,-70.987,-33
dpn68,3.933,96.067,26.013,73.987,12.61,224,0.875,bicubic,-88.077,-72.027,-7
resnet26d,3.920,96.080,28.227,71.773,16.01,224,0.875,bicubic,-88.130,-69.723,-9
tf_mixnet_s,3.920,96.080,25.200,74.800,4.13,224,0.875,bicubic,-87.590,-72.410,0
semnasnet_100,3.880,96.120,26.840,73.160,3.89,224,0.875,bicubic,-87.410,-70.730,+2
regnety_008,3.707,96.293,26.853,73.147,6.26,224,0.875,bicubic,-88.033,-71.327,-5
ssl_resnet18,3.707,96.293,25.280,74.720,11.69,224,0.875,bilinear,-86.523,-72.280,+20
densenet169,3.680,96.320,25.533,74.467,14.15,224,0.875,bicubic,-88.230,-72.567,-11
mobilenetv2_140,3.667,96.333,26.480,73.520,6.11,224,0.875,bicubic,-88.153,-71.210,-10
tf_mobilenetv3_large_100,3.653,96.347,25.000,75.000,5.48,224,0.875,bilinear,-87.577,-72.660,-2
dla60,3.573,96.427,27.920,72.080,22.04,224,0.875,bilinear,-88.647,-70.100,-19
res2net50_48w_2s,3.573,96.427,26.333,73.667,25.29,224,0.875,bilinear,-88.987,-71.737,-34
spnasnet_100,3.533,96.467,24.213,75.787,4.42,224,0.875,bilinear,-86.817,-72.977,+12
regnety_006,3.507,96.493,24.893,75.107,6.06,224,0.875,bicubic,-87.863,-72.817,-9
regnetx_016,3.467,96.533,26.387,73.613,9.19,224,0.875,bicubic,-88.703,-71.823,-22
tf_efficientnet_es,3.387,96.613,27.093,72.907,5.44,224,0.875,bicubic,-89.163,-71.197,-37
legacy_seresnet34,3.293,96.707,23.613,76.387,21.96,224,0.875,bilinear,-87.597,-73.967,+2
efficientnet_lite0,3.280,96.720,25.720,74.280,4.65,224,0.875,bicubic,-87.890,-71.900,-7
dla34,3.160,96.840,23.573,76.427,15.74,224,0.875,bilinear,-87.600,-74.077,+1
mnasnet_100,3.107,96.893,24.227,75.773,4.38,224,0.875,bicubic,-87.403,-73.243,+3
mobilenetv2_110d,3.107,96.893,24.373,75.627,4.52,224,0.875,bicubic,-87.863,-73.167,-4
regnety_004,3.067,96.933,22.613,77.387,4.34,224,0.875,bicubic,-87.433,-74.947,+2
tf_efficientnet_lite0,3.067,96.933,22.813,77.187,4.65,224,0.875,bicubic,-87.973,-74.757,-8
skresnet18,2.987,97.013,22.733,77.267,11.96,224,0.875,bicubic,-86.673,-74.487,+6
resnet34,2.907,97.093,23.560,76.440,21.80,224,0.875,bilinear,-88.203,-74.060,-12
tf_mobilenetv3_large_075,2.853,97.147,21.600,78.400,3.99,224,0.875,bilinear,-86.857,-75.620,+3
regnetx_008,2.733,97.267,22.347,77.653,7.26,224,0.875,bicubic,-88.317,-75.363,-13
gluon_resnet34_v1b,2.653,97.347,21.547,78.453,21.80,224,0.875,bicubic,-88.337,-76.093,-12
hrnet_w18_small_v2,2.627,97.373,23.587,76.413,15.60,224,0.875,bilinear,-88.563,-74.313,-19
resnet18d,2.493,97.507,21.600,78.400,11.71,224,0.875,bicubic,-86.807,-75.550,+2
regnetx_006,2.467,97.533,20.627,79.373,6.20,224,0.875,bicubic,-87.863,-76.803,-5
tv_densenet121,2.453,97.547,22.547,77.453,7.98,224,0.875,bicubic,-88.447,-75.163,-14
legacy_seresnet18,2.440,97.560,19.827,80.173,11.78,224,0.875,bicubic,-86.440,-77.143,+3
resnet26,2.373,97.627,22.693,77.307,16.00,224,0.875,bicubic,-88.747,-75.037,-22
mobilenetv2_100,2.147,97.853,19.640,80.360,3.50,224,0.875,bicubic,-87.463,-77.500,-4
regnety_002,2.067,97.933,18.587,81.413,3.16,224,0.875,bicubic,-85.293,-77.983,+3
tf_mobilenetv3_small_100,2.000,98.000,15.880,84.120,2.54,224,0.875,bilinear,-83.180,-79.900,+5
tf_mobilenetv3_small_075,1.973,98.027,14.840,85.160,2.04,224,0.875,bilinear,-81.517,-79.950,+7
regnetx_004,1.960,98.040,19.080,80.920,5.16,224,0.875,bicubic,-86.930,-78.040,-4
tv_resnet34,1.827,98.173,19.813,80.187,21.80,224,0.875,bilinear,-88.093,-77.527,-12
dla46x_c,1.693,98.307,16.373,83.627,1.07,224,0.875,bilinear,-82.557,-78.907,+2
tf_mobilenetv3_large_minimal_100,1.627,98.373,17.200,82.800,3.92,224,0.875,bilinear,-87.333,-79.670,-8
dla60x_c,1.587,98.413,17.800,82.200,1.32,224,0.875,bilinear,-84.693,-78.360,-3
gluon_resnet18_v1b,1.547,98.453,16.600,83.400,11.69,224,0.875,bicubic,-86.823,-80.090,-7
hrnet_w18_small,1.507,98.493,18.093,81.907,13.19,224,0.875,bilinear,-87.533,-79.007,-12
dla46_c,1.453,98.547,15.027,84.973,1.30,224,0.875,bilinear,-82.187,-79.883,-2
regnetx_002,1.267,98.733,14.827,85.173,2.68,224,0.875,bicubic,-84.933,-81.143,-6
resnet18,1.120,98.880,16.173,83.827,11.69,224,0.875,bilinear,-86.250,-80.087,-10
tf_mobilenetv3_small_minimal_100,1.027,98.973,11.400,88.600,2.04,224,0.875,bilinear,-80.353,-82.270,-3
tv_resnet50,0.027,99.973,14.320,85.680,25.56,224,0.875,bilinear,-91.853,-83.720,-52

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 84.707 15.240 15.293 96.147 96.040 3.853 3.960 480.31 800 0.960 bicubic -13.790 -12.063 -3.673 -3.410 0 -2
3 tf_efficientnet_l2_ns_475 83.373 83.360 16.627 16.640 95.453 95.480 4.547 4.520 480.31 475 0.936 bicubic -15.127 -13.210 -4.377 -3.920 0 -2
4 tf_efficientnet_b7_ns 67.040 66.880 32.960 33.120 88.667 88.507 11.333 11.493 66.35 600 0.949 bicubic -30.870 -31.660 -11.053 -11.313 0 -2
5 tf_efficientnet_b6_ns 62.267 61.640 37.733 38.360 85.173 84.787 14.827 15.213 43.04 528 0.942 bicubic -35.363 -36.240 -14.407 -14.933 0 -1
6 ig_resnext101_32x48d 61.013 61.040 38.987 38.960 83.347 83.253 16.653 16.747 828.41 224 0.875 bilinear -36.607 -37.450 -16.353 -16.577 0 -3
7 tf_efficientnet_b5_ns 60.320 59.787 39.680 40.213 84.493 84.213 15.507 15.787 30.39 456 0.934 bicubic -37.180 -37.853 -15.137 -15.487 0 -2
8 ig_resnext101_32x32d resnetv2_152x4_bitm 58.093 59.560 41.907 40.440 80.653 83.147 19.347 16.853 468.53 936.53 224 480 0.875 1.000 bilinear -39.267 -38.070 -19.027 -16.433 0 -2
9 vit_large_patch16_384 ig_resnext101_32x32d 53.867 57.933 46.133 42.067 80.320 80.760 19.680 19.240 304.72 468.53 384 224 1.000 0.875 bicubic bilinear -43.243 -39.557 -19.320 -18.870 +4 -2
10 ig_resnext101_32x16d vit_base_resnet50_384 53.067 54.333 46.933 45.667 76.907 80.827 23.093 19.173 194.03 98.95 224 384 0.875 1.000 bilinear bicubic -43.753 -42.867 -22.683 -18.713 +7 +1
11 tf_efficientnet_b4_ns resnetv2_152x2_bitm 51.213 53.773 48.787 46.227 79.187 81.840 20.813 18.160 19.34 236.34 380 480 0.922 1.000 bicubic bilinear -45.737 -43.417 -20.393 -17.730 +5 +1
12 swsl_resnext101_32x8d vit_large_patch16_384 51.187 53.053 48.813 46.947 78.240 79.853 21.760 20.147 88.79 304.72 224 384 0.875 1.000 bilinear bicubic -46.013 -44.127 -21.330 -19.707 -3 +1
13 vit_base_patch16_384 ig_resnext101_32x16d 50.613 53.040 49.387 46.960 78.200 76.853 21.800 23.147 86.86 194.03 384 224 1.000 0.875 bicubic bilinear -46.087 -43.970 -21.310 -22.667 +5 +6
14 tf_efficientnet_b8 resnetv2_101x3_bitm 48.947 52.307 51.053 47.693 77.240 80.227 22.760 19.773 87.41 387.93 672 480 0.954 1.000 bicubic bilinear -48.253 -44.803 -22.260 -19.433 -3 +2
15 resnest269e swsl_resnext101_32x8d 48.187 51.160 51.813 48.840 74.333 78.213 25.667 21.787 110.93 88.79 416 224 0.928 0.875 bicubic bilinear -48.333 -46.050 -25.017 -21.287 +8 -5
16 tf_efficientnet_b8_ap tf_efficientnet_b4_ns 46.893 50.907 53.107 49.093 76.507 79.040 23.493 20.960 87.41 19.34 672 380 0.954 0.922 bicubic -50.217 -46.173 -23.153 -20.580 -4 +2
17 swsl_resnext101_32x16d vit_base_patch16_384 46.200 50.027 53.800 49.973 72.200 77.600 27.800 22.400 194.03 86.86 224 384 0.875 1.000 bilinear bicubic -50.400 -46.713 -27.320 -21.740 +5 +6
18 tf_efficientnet_b7_ap tf_efficientnet_b8 45.373 47.987 54.627 52.013 74.213 76.467 25.787 23.533 66.35 87.41 600 672 0.949 0.954 bicubic -51.827 -49.493 -25.327 -23.143 -8 -10
19 ig_resnext101_32x8d resnest269e 45.320 47.653 54.680 52.347 70.867 74.013 29.133 25.987 88.79 110.93 224 416 0.875 0.928 bilinear bicubic -51.000 -48.867 -28.563 -25.337 +8 +10
20 resnest200e resnetv2_50x3_bitm 44.147 46.533 55.853 53.467 73.467 76.760 26.533 23.240 70.20 217.32 320 480 0.909 1.000 bicubic bilinear -52.463 -50.397 -25.883 -22.820 +1 0
21 tresnet_xl_448 tf_efficientnet_b8_ap 43.480 46.453 56.520 53.547 72.453 76.160 27.547 23.840 78.44 87.41 448 672 0.875 0.954 bilinear bicubic -52.490 -50.677 -26.677 -23.430 +8 -7
22 tf_efficientnet_b7 swsl_resnext101_32x16d 42.960 46.027 57.040 53.973 73.133 72.067 26.867 27.933 66.35 194.03 600 224 0.949 0.875 bicubic bilinear -54.050 -50.593 -26.387 -27.283 -7 +5
23 swsl_resnext101_32x4d tf_efficientnet_b7_ap 41.560 45.267 58.440 54.733 71.760 74.027 28.240 25.973 44.18 66.35 224 600 0.875 0.949 bilinear bicubic -54.860 -52.093 -27.710 -25.653 +1 -14
24 tf_efficientnet_b6_ap ig_resnext101_32x8d 40.800 45.227 59.200 54.773 71.627 70.853 28.373 29.147 43.04 88.79 528 224 0.942 0.875 bicubic bilinear -56.280 -51.083 -27.993 -28.577 -10 +10
25 tresnet_l_448 resnest200e 40.200 43.867 59.800 56.133 69.893 73.293 30.107 26.707 55.99 70.20 448 320 0.875 0.909 bilinear bicubic -55.660 -52.803 -29.227 -26.077 +8 +1
26 vit_large_patch32_384 tresnet_xl_448 38.933 43.187 61.067 56.813 68.920 72.133 31.080 27.867 306.63 78.44 384 448 1.000 0.875 bicubic bilinear -56.897 -52.783 -30.230 -26.987 +8 +14
27 tf_efficientnet_b3_ns tf_efficientnet_b7 35.520 42.213 64.480 57.787 67.773 72.547 32.227 27.453 12.23 66.35 300 600 0.904 0.949 bicubic -60.870 -54.867 -31.577 -26.963 -2 -10
28 tf_efficientnet_b6 swsl_resnext101_32x4d 35.213 41.627 64.787 58.373 67.720 71.880 32.280 28.120 43.04 44.18 528 224 0.942 0.875 bicubic bilinear -61.457 -54.783 -31.650 -27.590 -8 +2
29 tf_efficientnet_b5_ap tf_efficientnet_b6_ap 34.787 40.320 65.213 59.680 67.493 71.387 32.507 28.613 30.39 43.04 456 528 0.934 0.942 bicubic -61.893 -56.800 -31.967 -28.253 -10 -14
30 tresnet_m_448 tresnet_l_448 34.107 40.133 65.893 59.867 64.493 69.707 35.507 30.293 31.39 55.99 448 0.875 bilinear -60.883 -55.727 -34.487 -29.413 +27 +15
31 vit_base_patch32_384 resnetv2_101x1_bitm 33.613 38.747 66.387 61.253 65.240 71.000 34.760 29.000 88.30 44.54 384 480 1.000 bicubic bilinear -62.197 -57.323 -33.910 -28.300 +4 +7
32 swsl_resnext50_32x4d resnet200d_320 33.013 37.813 66.987 62.187 65.067 68.200 34.933 31.800 25.03 64.69 224 320 0.875 1.000 bilinear bicubic -62.857 -58.967 -34.183 -31.220 -1 -10
33 ssl_resnext101_32x16d seresnet152d_320 32.600 37.453 67.400 62.547 64.000 69.053 36.000 30.947 194.03 66.84 224 320 0.875 1.000 bilinear bicubic -63.200 -59.377 -35.180 -30.537 +3 +21
34 tf_efficientnet_b5 tf_efficientnet_b3_ns 31.840 35.480 68.160 64.520 65.293 67.720 34.707 32.280 30.39 12.23 456 300 0.934 0.904 bicubic -64.510 -60.890 -34.017 -31.630 -8 -2
35 resnest101e vit_large_patch16_224 31.413 35.240 68.587 64.760 64.360 64.320 35.640 35.680 48.28 304.33 256 224 0.875 0.900 bilinear bicubic -64.447 -60.700 -34.850 -34.920 -3 +7
36 swsl_resnet50 tf_efficientnet_b6 29.867 34.947 70.133 65.053 63.853 67.293 36.147 32.707 25.56 43.04 224 528 0.875 0.942 bilinear bicubic -65.543 -61.743 -35.437 -32.167 +10 -10
37 ssl_resnext101_32x8d tf_efficientnet_b5_ap 29.040 34.333 70.960 65.667 60.973 67.053 39.027 32.947 88.79 30.39 224 456 0.875 0.934 bilinear bicubic -66.430 -62.377 -38.137 -32.457 +6 -12
38 tf_efficientnet_b4 resnet152d_320 26.293 33.720 73.707 66.280 60.107 65.467 39.893 34.533 19.34 60.21 380 320 0.922 1.000 bicubic -69.607 -62.630 -39.063 -33.923 -8 -5
39 tf_efficientnet_b4_ap tresnet_m_448 26.240 33.627 73.760 66.373 60.227 64.293 39.773 35.707 19.34 31.39 380 448 0.922 0.875 bicubic bilinear -69.920 -61.363 -39.053 -34.687 -11 +32
40 ecaresnet101d vit_base_patch32_384 26.027 33.160 73.973 66.840 58.987 64.680 41.013 35.320 44.57 88.30 224 384 0.875 1.000 bicubic -69.503 -62.650 -40.143 -34.470 +2 +9
41 ssl_resnext101_32x4d swsl_resnext50_32x4d 24.173 33.027 75.827 66.973 57.413 65.173 42.587 34.827 44.18 25.03 224 0.875 bilinear -71.267 -62.853 -41.717 -34.077 +3 +4
42 tf_efficientnet_b2_ns ssl_resnext101_32x16d 24.013 32.373 75.987 67.627 57.293 63.693 42.707 36.307 9.11 194.03 260 224 0.890 0.875 bicubic bilinear -71.757 -63.437 -41.827 -35.487 -5 +6
43 nasnetalarge seresnet152d 23.493 31.600 76.507 68.400 55.027 63.373 44.973 36.627 88.75 66.84 331 256 0.911 0.940 bicubic -72.187 -65.000 -43.903 -36.147 -3 +27
44 efficientnet_b3 resnest101e 23.453 31.600 76.547 68.400 56.587 64.053 43.413 35.947 12.23 48.28 300 256 0.904 0.875 bicubic bilinear -72.127 -64.250 -42.513 -35.157 -3 +4
45 pnasnet5large vit_base_patch16_224 23.333 31.573 76.667 68.427 53.640 61.213 46.360 38.787 86.06 86.57 331 224 0.911 0.900 bicubic -72.377 -63.767 -45.280 -37.787 -6 +16
46 efficientnet_b3a tf_efficientnet_b5 23.213 31.107 76.787 68.893 55.960 64.507 44.040 35.493 12.23 30.39 320 456 1.000 0.934 bicubic -72.497 -65.233 -43.080 -34.803 -8 -11
47 regnety_032 resnet200d 21.867 30.053 78.133 69.947 55.267 61.160 44.733 38.840 19.44 64.69 224 256 0.875 0.940 bicubic -73.493 -66.237 -43.813 -38.090 0 -9
48 resnest50d_4s2x40d swsl_resnet50 20.387 29.787 79.613 70.213 52.800 63.800 47.200 36.200 30.42 25.56 224 0.875 bicubic bilinear -74.573 -65.623 -46.270 -35.480 +10 +11
49 ssl_resnext50_32x4d ssl_resnext101_32x8d 20.000 28.853 80.000 71.147 53.613 60.627 46.387 39.373 25.03 88.79 224 0.875 bilinear -74.870 -66.617 -45.267 -38.483 +15 +7
50 tresnet_xl resnet101d_320 19.640 28.747 80.360 71.253 53.133 62.013 46.867 37.987 78.44 44.57 224 320 0.875 1.000 bilinear bicubic -75.800 -67.543 -45.917 -37.217 -5 -13
51 gluon_senet154 resnetv2_50x1_bitm 19.307 27.453 80.693 72.547 47.533 63.133 52.467 36.867 115.09 25.55 224 480 0.875 1.000 bicubic bilinear -75.613 -67.587 -51.227 -36.027 +10 +18
52 rexnet_200 resnet152d 19.227 25.947 80.773 74.053 52.720 58.573 47.280 41.427 16.37 60.21 224 256 0.875 0.940 bicubic -75.713 -70.043 -46.290 -40.687 +7 -11
53 legacy_senet154 tf_efficientnet_b4 19.053 25.867 80.947 74.133 47.947 59.880 52.053 40.120 115.09 19.34 224 380 0.875 0.922 bilinear bicubic -76.017 -70.023 -50.883 -39.290 0 -8
54 gluon_seresnext101_64x4d tf_efficientnet_b4_ap 18.907 25.827 81.093 74.173 49.187 59.613 50.813 40.387 88.23 19.34 224 380 0.875 0.922 bicubic -76.023 -70.343 -49.643 -39.667 +6 -15
55 tf_efficientnet_b1_ns ecaresnet101d 18.693 25.773 81.307 74.227 51.667 58.720 48.333 41.280 7.79 44.57 240 224 0.882 0.875 bicubic -76.477 -69.767 -47.443 -40.410 -5 0
56 seresnext50_32x4d tf_efficientnet_b2_ns 18.360 24.120 81.640 75.880 50.973 57.480 49.027 42.520 27.56 9.11 224 260 0.875 0.890 bicubic -76.680 -71.620 -47.907 -41.640 -1 -5
57 ecaresnet50d ssl_resnext101_32x4d 18.227 23.760 81.773 76.240 51.880 57.160 48.120 42.840 25.58 44.18 224 0.875 bicubic bilinear -76.403 -71.670 -47.010 -41.970 +16 +1
58 tf_efficientnet_lite4 efficientnet_b3 18.133 23.587 81.867 76.413 50.707 56.440 49.293 43.560 13.01 12.23 380 300 0.920 0.904 bilinear bicubic -76.757 -71.993 -48.313 -42.660 +5 -4
59 resnest50d_1s4x24d efficientnet_b3a 17.693 23.120 82.307 76.880 49.800 55.813 50.200 44.187 25.68 12.23 224 320 0.875 1.000 bicubic -77.057 -72.600 -49.180 -43.227 +8 -7
60 gluon_seresnext101_32x4d nasnetalarge 17.373 23.120 82.627 76.880 46.373 54.560 53.627 45.440 48.96 88.75 224 331 0.875 0.911 bicubic -77.547 -72.560 -52.437 -44.370 +2 -7
61 resnest50d resnet101d 17.373 22.240 82.627 77.760 50.707 54.667 49.293 45.333 27.48 44.57 224 256 0.875 0.940 bilinear bicubic -77.457 -73.690 -48.173 -44.403 +4 -17
62 inception_v4 regnety_032 17.267 21.787 82.733 78.213 45.920 54.880 54.080 45.120 42.68 19.44 299 224 0.875 bicubic -77.113 -73.573 -52.660 -44.220 +26 -2
63 tf_efficientnet_b3_ap resnest50d_4s2x40d 17.187 20.080 82.813 79.920 49.680 52.907 50.320 47.093 12.23 30.42 300 224 0.904 0.875 bicubic -78.133 -74.870 -49.220 -45.913 -15 +10
64 tf_efficientnet_b3 ssl_resnext50_32x4d 17.000 19.680 83.000 80.320 49.267 53.253 50.733 46.747 12.23 25.03 300 224 0.904 0.875 bicubic bilinear -78.010 -75.180 -49.643 -45.617 -8 +14
65 xception71 tresnet_xl 17.000 19.320 83.000 80.680 45.520 52.867 54.480 47.133 42.34 78.44 299 224 0.903 0.875 bicubic bilinear -77.280 -76.120 -53.120 -46.193 +29 -8
66 gluon_resnext101_64x4d gluon_senet154 16.853 19.067 83.147 80.933 44.213 47.187 55.787 52.813 83.46 115.09 224 0.875 bicubic -77.817 -75.863 -54.437 -51.583 +5 +9
67 tresnet_l gluon_seresnext101_64x4d 16.600 18.960 83.400 81.040 49.920 48.960 50.080 51.040 55.99 88.23 224 0.875 bilinear bicubic -78.690 -75.990 -49.090 -50.110 -18 +7
68 gluon_resnet152_v1d legacy_senet154 16.573 18.920 83.427 81.080 44.280 47.600 55.720 52.400 60.21 115.09 224 0.875 bicubic bilinear -78.167 -76.140 -54.460 -51.230 0 -1
69 gluon_resnet152_v1s tf_efficientnet_b1_ns 16.573 18.907 83.427 81.093 44.533 51.667 55.467 48.333 60.32 7.79 224 240 0.875 0.882 bicubic -78.467 -76.263 -54.397 -47.443 -15 -5
70 inception_resnet_v2 rexnet_200 16.573 18.880 83.427 81.120 44.960 52.587 55.040 47.413 55.84 16.37 299 224 0.897 0.875 bicubic -77.967 -76.050 -53.830 -46.413 +9 +6
71 vit_base_patch16_224 seresnext50_32x4d 16.493 18.227 83.507 81.773 47.427 50.907 52.573 49.093 86.54 27.56 224 0.900 0.875 bicubic -77.307 -76.813 -51.043 -47.983 +58 -1
72 gluon_xception65 ecaresnet50d 16.440 17.973 83.560 82.027 46.027 51.480 53.973 48.520 39.92 25.58 299 224 0.903 0.875 bicubic -77.820 -76.647 -52.543 -47.290 +23 +18
73 wide_resnet50_2 resnest50d_1s4x24d 16.280 17.653 83.720 82.347 48.347 49.613 51.653 50.387 68.88 25.68 224 0.875 bicubic -78.800 -77.107 -50.633 -49.367 -22 +9
74 ens_adv_inception_resnet_v2 tf_efficientnet_lite4 16.240 17.627 83.760 82.373 43.640 50.253 56.360 49.747 55.84 13.01 299 380 0.897 0.920 bicubic bilinear -77.920 -77.233 -54.960 -48.767 +32 +5
75 xception65 gluon_seresnext101_32x4d 16.027 17.360 83.973 82.640 43.773 46.480 56.227 53.520 39.92 48.96 299 224 0.903 0.875 bicubic -77.733 -77.560 -54.597 -52.330 +56 +2
76 ssl_resnet50 resnest50d 15.960 17.280 84.040 82.720 49.467 50.533 50.533 49.467 25.56 27.48 224 0.875 bilinear -78.490 -77.540 -49.453 -48.347 +11 +4
77 regnety_320 tf_efficientnet_b3_ap 15.627 17.000 84.373 83.000 44.827 49.387 55.173 50.613 145.05 12.23 224 300 0.875 0.904 bicubic -78.913 -78.320 -54.023 -49.513 +3 -15
78 ecaresnet101d_pruned gluon_resnext101_64x4d 15.600 16.693 84.400 83.307 48.027 43.960 51.973 56.040 24.88 83.46 224 0.875 bicubic -79.480 -77.947 -50.943 -54.700 -26 +9
79 skresnext50_32x4d tf_efficientnet_b3 15.373 16.693 84.627 83.307 44.493 49.107 55.507 50.893 27.48 12.23 224 300 0.875 0.904 bicubic -78.887 -78.317 -53.967 -49.803 +18 -8
80 ecaresnetlight xception71 15.160 16.600 84.840 83.400 45.813 45.240 54.187 54.760 30.16 42.34 224 299 0.875 0.903 bicubic -79.610 -77.690 -52.987 -53.400 -14 +27
81 rexnet_150 gluon_resnet152_v1s 14.720 16.467 85.280 83.533 46.907 44.200 53.093 55.800 9.73 60.32 224 0.875 bicubic -79.760 -78.583 -51.773 -54.730 +2 -13
82 efficientnet_b2a tresnet_l 14.440 16.413 85.560 83.587 46.080 49.573 53.920 50.427 9.11 55.99 288 224 1.000 0.875 bicubic bilinear -80.170 -78.877 -52.630 -49.437 -6 -19
83 seresnet50 gluon_xception65 14.147 16.213 85.853 83.787 45.467 45.920 54.533 54.080 28.09 39.92 224 299 0.875 0.903 bicubic -80.403 -78.047 -53.283 -52.650 -6 +26
84 legacy_seresnext101_32x4d wide_resnet50_2 14.147 16.200 85.853 83.800 42.973 48.080 57.027 51.920 48.96 68.88 224 0.875 bilinear bicubic -80.223 -78.870 -55.677 -50.890 +6 -18
85 gluon_resnext101_32x4d gluon_resnet152_v1d 13.867 16.160 86.133 83.840 41.653 44.107 58.347 55.893 44.18 60.21 224 0.875 bicubic -80.663 -78.590 -56.977 -54.633 -4 -2
86 gluon_seresnext50_32x4d xception65 13.600 15.893 86.400 84.107 43.760 43.453 56.240 56.547 27.56 39.92 224 299 0.875 0.903 bicubic -80.740 -77.877 -55.090 -54.907 +6 +56
87 ese_vovnet39b ssl_resnet50 13.320 15.813 86.680 84.187 43.813 49.280 56.187 50.720 24.57 25.56 224 0.875 bicubic bilinear -80.770 -78.677 -54.847 -49.640 +26 +9
88 efficientnet_b2 ecaresnet101d_pruned 13.307 15.480 86.693 84.520 44.440 47.947 55.560 52.053 9.11 24.88 260 224 0.875 bicubic -81.393 -79.590 -54.230 -51.033 -18 -23
89 regnetx_320 regnety_320 13.307 15.453 86.693 84.547 40.720 44.560 59.280 55.440 107.81 145.05 224 0.875 bicubic -81.153 -79.097 -58.020 -54.280 -3 +5
90 efficientnet_b3_pruned ecaresnetlight 13.173 15.173 86.827 84.827 45.213 45.680 54.787 54.320 9.86 30.16 300 224 0.904 0.875 bicubic -81.457 -79.607 -53.547 -53.120 -16 -9
91 gluon_resnet101_v1d skresnext50_32x4d 13.160 15.120 86.840 84.880 41.493 44.453 58.507 55.547 44.57 27.48 224 0.875 bicubic -81.060 -79.140 -57.237 -54.017 +9 +19
92 mixnet_xl rexnet_150 13.120 14.360 86.880 85.640 43.253 46.587 56.747 53.413 11.90 9.73 224 0.875 bicubic -81.070 -80.110 -55.087 -52.203 +11 +8
93 gluon_inception_v3 efficientnet_b2a 12.640 14.307 87.360 85.693 40.493 45.787 59.507 54.213 23.83 9.11 299 288 0.875 1.000 bicubic -80.820 -80.323 -58.037 -52.923 +58 -5
94 tresnet_m seresnet50 12.600 14.027 87.400 85.973 41.893 45.347 58.107 54.653 31.39 28.09 224 0.875 bilinear bicubic -82.020 -80.533 -56.657 -53.403 -19 -1
95 regnety_120 legacy_seresnext101_32x4d 12.427 13.893 87.573 86.107 42.200 42.640 57.800 57.360 51.82 48.96 224 0.875 bicubic bilinear -82.053 -80.467 -56.610 -56.000 -11 +8
96 efficientnet_em gluon_resnext101_32x4d 12.360 13.680 87.640 86.320 43.880 41.467 56.120 58.533 6.90 44.18 240 224 0.882 0.875 bicubic -81.480 -80.840 -54.930 -57.163 +29 -1
97 regnety_160 gluon_seresnext50_32x4d 12.200 13.453 87.800 86.547 41.320 43.507 58.680 56.493 83.59 27.56 224 0.875 bicubic -82.140 -80.897 -57.290 -55.113 -6 +7
98 vit_small_patch16_224 efficientnet_b2 12.147 13.253 87.853 86.747 40.320 44.493 59.680 55.507 48.75 9.11 224 260 0.900 0.875 bicubic -80.613 -81.457 -57.610 -54.177 +85 -14
99 hrnet_w64 regnetx_320 12.027 13.160 87.973 86.840 40.787 40.253 59.213 59.747 128.06 107.81 224 0.875 bilinear bicubic -81.983 -81.280 -57.823 -58.477 +17 +2
100 cspdarknet53 ese_vovnet39b 12.013 13.147 87.987 86.853 43.253 43.680 56.747 56.320 27.64 24.57 256 224 0.887 0.875 bilinear bicubic -82.647 -80.943 -55.547 -54.980 -28 +25
101 gluon_resnet101_v1s mixnet_xl 11.880 13.000 88.120 87.000 40.973 43.133 59.027 56.867 44.67 11.90 224 0.875 bicubic -82.840 -81.190 -57.847 -55.207 -32 +14
102 resnet50d efficientnet_b3_pruned 11.693 12.987 88.307 87.013 42.453 44.813 57.547 55.187 25.58 9.86 224 300 0.875 0.904 bicubic -82.567 -81.633 -56.267 -54.077 -6 -13
103 dpn92 gluon_resnet101_v1d 11.627 12.760 88.373 87.240 40.267 41.267 59.733 58.733 37.67 44.57 224 0.875 bicubic -82.603 -81.440 -58.463 -57.293 -4 +11
104 xception41 gluon_inception_v3 11.600 12.507 88.400 87.493 39.133 40.200 60.867 59.800 26.97 23.83 299 0.903 0.875 bicubic -81.830 -80.953 -59.297 -58.360 +49 +58
105 dla102x2 tresnet_m 11.573 12.373 88.427 87.627 41.293 41.547 58.707 58.453 41.28 31.39 224 0.875 bilinear -82.377 -82.237 -57.197 -57.003 +13 -13
106 regnety_080 regnety_120 11.413 12.240 88.587 87.760 40.613 41.893 59.387 58.107 39.18 51.82 224 0.875 bicubic -82.757 -82.240 -58.067 -56.917 -1 -7
107 efficientnet_b2_pruned regnety_160 11.360 12.173 88.640 87.827 42.027 41.107 57.973 58.893 8.31 83.59 260 224 0.890 0.875 bicubic -82.780 -82.177 -56.503 -57.743 +2 -2
108 gluon_resnet152_v1c gluon_resnet101_v1s 11.093 12.013 88.907 87.987 37.120 40.773 62.880 59.227 60.21 44.67 224 0.875 bicubic -83.067 -82.687 -61.520 -58.047 -1 -23
109 dpn107 efficientnet_em 11.080 11.947 88.920 88.053 38.693 43.667 61.307 56.333 86.92 6.90 224 240 0.875 0.882 bicubic -83.230 -81.903 -59.787 -55.143 -16 +28
110 hrnet_w48 vit_small_patch16_224 11.080 11.907 88.920 88.093 40.320 39.920 59.680 60.080 77.47 48.75 224 0.875 0.900 bilinear bicubic -82.840 -80.863 -58.290 -58.010 +9 +84
111 ecaresnet50d_pruned hrnet_w64 11.027 11.880 88.973 88.120 41.947 40.560 58.053 59.440 19.94 128.06 224 0.875 bicubic bilinear -83.193 -82.110 -56.603 -58.050 -10 +17
112 adv_inception_v3 cspdarknet53 11.013 11.680 88.987 88.320 36.720 42.893 63.280 57.107 23.83 27.64 299 256 0.875 0.887 bicubic bilinear -81.867 -82.990 -61.420 -55.917 +65 -26
113 tf_efficientnet_el resnet50d 10.960 11.640 89.040 88.360 41.773 42.120 58.227 57.880 10.59 25.58 300 224 0.904 0.875 bicubic -83.630 -82.630 -56.977 -56.600 -36 -5
114 tf_efficientnet_b0_ns xception41 10.933 11.560 89.067 88.440 40.067 38.760 59.933 61.240 5.29 26.97 224 299 0.875 0.903 bicubic -82.697 -81.850 -58.573 -59.660 +26 +51
115 tf_inception_v3 dla102x2 10.840 11.387 89.160 88.613 36.867 41.267 63.133 58.733 23.83 41.28 299 224 0.875 bicubic bilinear -82.480 -82.563 -61.163 -57.223 +43 +14
116 resnext50_32x4d dpn92 10.800 11.280 89.200 88.720 40.307 39.520 59.693 60.480 25.03 37.67 224 0.875 bicubic -83.300 -82.940 -58.043 -59.210 -4
117 dpn131 efficientnet_b2_pruned 10.787 11.253 89.213 88.747 37.200 41.773 62.800 58.227 79.25 8.31 224 260 0.875 0.890 bicubic -83.223 -82.887 -61.520 -56.747 -2 +4
118 tf_efficientnet_b2_ap regnety_080 10.533 11.253 89.467 88.747 40.107 40.613 59.893 59.387 9.11 39.18 260 224 0.890 0.875 bicubic -83.957 -82.927 -58.513 -58.067 -36 0
119 resnext50d_32x4d tf_efficientnet_b0_ns 10.413 11.080 89.587 88.920 39.733 39.880 60.267 60.120 25.05 5.29 224 0.875 bicubic -83.767 -82.540 -58.837 -58.760 -15 +33
120 rexnet_130 ecaresnet50d_pruned 10.400 11.000 89.600 89.000 41.547 42.000 58.453 58.000 7.56 19.94 224 0.875 bicubic -83.500 -83.210 -56.853 -56.730 0 -7
121 hrnet_w44 hrnet_w48 10.320 10.853 89.680 89.147 39.507 39.973 60.493 60.027 67.06 77.47 224 0.875 bilinear -83.230 -83.087 -59.193 -58.637 +22 +10
122 resnext101_32x8d tf_inception_v3 10.187 10.840 89.813 89.160 37.827 36.680 62.173 63.320 88.79 23.83 224 299 0.875 bilinear bicubic -83.643 -82.490 -60.753 -61.360 +4 +47
123 regnetx_160 dpn107 10.147 10.827 89.853 89.173 38.000 38.427 62.000 61.573 54.28 86.92 224 0.875 bicubic -83.973 -83.483 -60.750 -60.053 -12 -18
124 dpn98 adv_inception_v3 10.133 10.827 89.867 89.173 36.587 36.467 63.413 63.533 61.57 23.83 224 299 0.875 bicubic -83.997 -82.063 -61.983 -61.663 -14 +65
125 cspresnext50 tf_efficientnet_el 10.120 10.800 89.880 89.200 40.373 41.093 59.627 58.907 20.57 10.59 224 300 0.875 0.904 bilinear bicubic -84.360 -83.810 -58.417 -57.657 -40 -34
126 legacy_seresnext50_32x4d gluon_resnet152_v1c 10.107 10.760 89.893 89.240 39.200 36.840 60.800 63.160 27.56 60.21 224 0.875 bilinear bicubic -83.623 -83.400 -59.380 -61.800 +9 -7
127 inception_v3 resnext50_32x4d 10.027 10.627 89.973 89.373 35.227 40.187 64.773 59.813 23.83 25.03 299 224 0.875 bicubic -82.693 -83.483 -62.743 -58.163 +60 -3
128 xception dpn131 9.987 10.600 90.013 89.400 38.027 36.973 61.973 63.027 22.86 79.25 299 224 0.897 0.875 bicubic -83.473 -83.400 -60.543 -61.747 +22 -1
129 regnety_064 resnext50d_32x4d 9.947 10.453 90.053 89.547 39.067 39.373 60.933 60.627 30.58 25.05 224 0.875 bicubic -84.203 -83.737 -59.663 -59.207 -21 -13
130 dpn68b tf_efficientnet_b2_ap 9.787 10.400 90.213 89.600 38.053 39.747 61.947 60.253 12.61 9.11 224 260 0.875 0.890 bicubic -83.903 -84.090 -60.457 -58.873 +7 -33
131 gluon_resnet152_v1b rexnet_130 9.747 10.347 90.253 89.653 36.067 41.387 63.933 58.613 60.19 7.56 224 0.875 bicubic -84.333 -83.553 -62.383 -57.013 -17 +2
132 tf_efficientnet_lite3 hrnet_w44 9.667 10.333 90.333 89.667 39.000 39.200 61.000 60.800 8.20 67.06 300 224 0.904 0.875 bilinear -84.533 -83.247 -59.640 -59.500 -30 +21
133 tf_efficientnet_b2 dpn98 9.653 10.107 90.347 89.893 38.880 36.453 61.120 63.547 9.11 61.57 260 224 0.890 0.875 bicubic -84.707 -84.023 -59.730 -62.117 -43 -11
134 tf_efficientnet_cc_b1_8e cspresnext50 9.573 10.093 90.427 89.907 36.773 40.253 63.227 59.747 39.72 20.57 240 224 0.882 0.875 bicubic bilinear -84.327 -84.387 -61.487 -58.427 -13 -36
135 res2net101_26w_4s regnety_064 9.520 10.000 90.480 90.000 35.027 38.920 64.973 61.080 45.21 30.58 224 0.875 bilinear bicubic -84.230 -84.150 -63.353 -59.810 -3 -15
136 legacy_seresnet152 regnetx_160 9.347 9.973 90.653 90.027 37.413 37.733 62.587 62.267 66.82 54.28 224 0.875 bilinear bicubic -84.053 -84.147 -60.937 -61.007 +19 -13
137 seresnext26t_32x4d resnext101_32x8d 9.347 9.960 90.653 90.040 37.520 37.493 62.480 62.507 16.82 88.79 224 0.875 bicubic bilinear -83.723 -83.840 -60.590 -61.087 +33 +3
138 cspresnet50 legacy_seresnext50_32x4d 9.253 9.880 90.747 90.120 39.640 38.973 60.360 61.027 21.62 27.56 256 224 0.887 0.875 bilinear -84.487 -83.840 -59.000 -59.607 -4 +9
139 hrnet_w40 xception 9.227 9.880 90.773 90.120 36.893 37.920 63.107 62.080 57.56 22.86 224 299 0.875 0.897 bilinear bicubic -84.263 -83.590 -61.687 -60.610 +9 +22
140 regnetx_120 inception_v3 9.187 9.827 90.813 90.173 37.200 35.040 62.800 64.960 46.11 23.83 224 299 0.875 bicubic -85.053 -82.893 -61.450 -62.920 -42 +58
141 seresnext26d_32x4d tf_efficientnet_b2 9.147 9.653 90.853 90.347 36.840 38.640 63.160 61.360 16.81 9.11 224 260 0.875 0.890 bicubic -83.553 -84.717 -61.310 -59.970 +47 -39
142 efficientnet_b1 tf_efficientnet_cc_b1_8e 9.120 9.613 90.880 90.387 37.360 36.880 62.640 63.120 7.79 39.72 240 0.875 0.882 bicubic -84.140 -84.297 -60.810 -61.370 +21 -10
143 resnest26d dpn68b 9.080 9.587 90.920 90.413 37.853 37.720 62.147 62.280 17.07 12.61 224 0.875 bilinear bicubic -84.250 -84.093 -60.777 -60.800 +14 +6
144 regnety_040 gluon_resnet152_v1b 9.000 9.587 91.000 90.413 37.053 35.693 62.947 64.307 20.65 60.19 224 0.875 bicubic -84.860 -84.503 -61.597 -62.757 -20 -18
145 gluon_resnext50_32x4d tf_efficientnet_lite3 8.947 9.480 91.053 90.520 36.333 38.960 63.667 61.040 25.03 8.20 224 300 0.875 0.904 bicubic bilinear -84.863 -84.710 -62.077 -59.680 -18 -28
146 rexnet_100 res2net101_26w_4s 8.893 9.413 91.107 90.587 36.373 34.440 63.627 65.560 4.80 45.21 224 0.875 bicubic bilinear -84.137 -84.317 -61.817 -63.880 +28 -1
147 seresnext26tn_32x4d legacy_seresnet152 8.893 9.240 91.107 90.760 36.907 37.120 63.093 62.880 16.81 66.82 224 0.875 bicubic bilinear -83.927 -84.180 -61.463 -61.230 +33 +17
148 mixnet_l cspresnet50 8.853 9.213 91.147 90.787 36.187 39.467 63.813 60.533 7.33 21.62 224 256 0.875 0.887 bicubic bilinear -84.597 -84.537 -62.033 -59.163 +4 -5
149 dla169 efficientnet_b1 8.640 9.213 91.360 90.787 36.040 37.227 63.960 62.773 53.39 7.79 224 240 0.875 bilinear bicubic -84.700 -84.057 -62.560 -60.963 +7 +25
150 hrnet_w30 seresnext26t_32x4d 8.613 9.187 91.387 90.813 37.040 37.187 62.960 62.813 37.71 16.82 224 0.875 bilinear bicubic -84.587 -83.873 -61.370 -60.913 +14 +32
151 legacy_seresnet101 hrnet_w40 8.533 9.107 91.467 90.893 36.013 36.533 63.987 63.467 49.33 57.56 224 0.875 bilinear -84.747 -84.383 -62.497 -62.057 +11 +9
152 tf_efficientnet_b1_ap regnetx_120 8.453 9.067 91.547 90.933 35.253 36.947 64.747 63.053 7.79 46.11 240 224 0.882 0.875 bicubic -85.237 -85.173 -63.107 -61.723 -14 -41
153 resnetblur50 gluon_resnext50_32x4d 8.240 9.027 91.760 90.973 37.400 36.320 62.600 63.680 25.56 25.03 224 0.875 bicubic -85.720 -84.793 -61.190 -62.090 -36 -15
154 dla102x resnest26d 8.200 9.013 91.800 90.987 37.013 37.560 62.987 62.440 26.31 17.07 224 0.875 bilinear -85.320 -84.357 -61.497 -61.080 -8 +13
155 hrnet_w32 regnety_040 8.040 8.853 91.960 91.147 37.507 37.000 62.493 63.000 41.23 20.65 224 0.875 bilinear bicubic -85.490 -85.007 -60.943 -61.640 -10 -19
156 res2net50_26w_8s rexnet_100 8.000 8.813 92.000 91.187 33.853 36.240 66.147 63.760 48.40 4.80 224 0.875 bilinear bicubic -85.540 -84.217 -64.407 -61.950 -12 +30
157 gluon_resnet101_v1c seresnext26tn_32x4d 7.987 8.800 92.013 91.200 33.360 36.600 66.640 63.400 44.57 16.81 224 0.875 bicubic -85.683 -84.010 -65.060 -61.770 -18 +33
158 gluon_resnet50_v1d seresnext26d_32x4d 7.920 8.800 92.080 91.200 35.000 36.427 65.000 63.573 25.58 16.81 224 0.875 bicubic -85.850 -83.930 -63.390 -61.723 -28 +40
159 dla60_res2next mixnet_l 7.787 8.747 92.213 91.253 34.987 36.173 65.013 63.827 17.03 7.33 224 0.875 bilinear bicubic -85.393 -84.683 -63.433 -62.047 +6 +4
160 densenetblur121d hrnet_w30 7.720 8.533 92.280 91.467 34.733 36.827 65.267 63.173 8.00 37.71 224 0.875 bicubic bilinear -84.190 -84.677 -63.337 -61.583 +54 +15
161 dla60_res2net dla169 7.560 8.373 92.440 91.627 34.627 35.907 65.373 64.093 20.85 53.39 224 0.875 bilinear -85.620 -84.967 -63.783 -62.693 +5 +7
162 efficientnet_b1_pruned tf_efficientnet_b1_ap 7.440 8.333 92.560 91.667 34.533 35.147 65.467 64.853 6.33 7.79 240 0.882 bicubic -85.330 -85.377 -63.507 -63.213 +20 -14
163 wide_resnet101_2 legacy_seresnet101 7.360 8.267 92.640 91.733 34.147 35.707 65.853 64.293 126.89 49.33 224 0.875 bilinear -86.360 -85.023 -64.393 -62.793 -27 +9
164 regnetx_064 resnetblur50 7.333 8.200 92.667 91.800 34.373 37.320 65.627 62.680 26.21 25.56 224 0.875 bicubic -86.557 -85.750 -64.257 -61.270 -42 -34
165 gluon_resnet101_v1b dla102x 7.227 8.173 92.773 91.827 32.773 36.827 67.227 63.173 44.55 26.31 224 0.875 bicubic bilinear -86.523 -85.347 -65.537 -61.533 -32 -7
166 gluon_resnet50_v1s hrnet_w32 7.213 7.933 92.787 92.067 33.507 37.253 66.493 62.747 25.68 41.23 224 0.875 bicubic bilinear -86.407 -85.587 -64.953 -61.247 -26 -10
167 efficientnet_b0 gluon_resnet50_v1d 7.213 7.827 92.787 92.173 34.013 34.787 65.987 65.213 5.29 25.58 224 0.875 bicubic -85.477 -85.953 -64.057 -63.613 +23 -26
168 tf_mixnet_l gluon_resnet101_v1c 7.147 7.800 92.853 92.200 31.613 32.947 68.387 67.053 7.33 44.57 224 0.875 bicubic -86.163 -85.870 -66.417 -65.463 -9 -18
169 tf_efficientnet_b1 dla60_res2next 7.133 7.747 92.867 92.253 33.040 34.653 66.960 65.347 7.79 17.03 240 224 0.882 0.875 bicubic bilinear -86.367 -85.433 -65.320 -63.757 -22 +8
170 tf_efficientnet_cc_b0_8e res2net50_26w_8s 7.120 7.747 92.880 92.253 31.787 33.480 68.213 66.520 24.01 48.40 224 0.875 bicubic bilinear -85.710 -85.793 -66.393 -64.790 +9 -15
171 ese_vovnet19b_dw densenetblur121d 6.733 7.560 93.267 92.440 33.413 34.560 66.587 65.440 6.54 8.00 224 0.875 bicubic -85.557 -84.360 -64.677 -63.530 +34 +53
172 selecsls60b dla60_res2net 6.733 7.347 93.267 92.653 33.267 34.400 66.733 65.600 32.77 20.85 224 0.875 bicubic bilinear -86.567 -85.803 -65.013 -64.020 -12 +6
173 efficientnet_es regnetx_064 6.707 7.320 93.293 92.680 33.840 34.360 66.160 65.640 5.44 26.21 224 0.875 bicubic -86.433 -86.570 -64.580 -64.270 -6 -39
174 res2net50_26w_6s wide_resnet101_2 6.693 7.307 93.307 92.693 31.653 33.707 68.347 66.293 37.05 126.89 224 0.875 bilinear -86.717 -86.423 -66.627 -64.833 -20 -28
175 legacy_seresnext26_32x4d efficientnet_b1_pruned 6.627 7.280 93.373 92.720 33.253 34.427 66.747 65.573 16.79 6.33 224 240 0.875 0.882 bicubic -86.013 -85.490 -64.877 -63.613 +17 +18
176 mixnet_m efficientnet_b0 6.627 7.213 93.373 92.787 32.053 33.840 67.947 66.160 5.01 5.29 224 0.875 bicubic -85.803 -85.457 -65.817 -64.240 +24 +25
177 skresnet34 gluon_resnet101_v1b 6.480 7.133 93.520 92.867 31.547 32.707 68.453 67.293 22.28 44.55 224 0.875 bicubic -85.910 -86.597 -66.603 -65.693 +25 -33
178 dla60x tf_efficientnet_cc_b0_8e 6.427 7.133 93.573 92.867 34.080 31.667 65.920 68.333 17.35 24.01 224 0.875 bilinear bicubic -86.693 -85.687 -64.430 -66.513 -10 +12
179 resnet34d tf_efficientnet_b1 6.400 7.120 93.600 92.880 31.493 33.107 68.507 66.893 21.82 7.79 224 240 0.875 0.882 bicubic -86.280 -86.400 -66.817 -65.323 +11 -22
180 regnetx_080 gluon_resnet50_v1s 6.307 7.080 93.693 92.920 32.320 33.213 67.680 66.787 39.57 25.68 224 0.875 bicubic -87.563 -86.550 -66.200 -65.257 -57 -29
181 swsl_resnet18 tf_mixnet_l 6.240 7.067 93.760 92.933 31.600 31.587 68.400 68.413 11.69 7.33 224 0.875 bilinear bicubic -84.450 -86.233 -66.100 -66.443 +58 -10
182 legacy_seresnet50 mixnet_m 6.187 6.667 93.813 93.333 32.653 32.040 67.347 67.960 28.09 5.01 224 0.875 bilinear bicubic -86.773 -85.773 -65.537 -65.830 -6 +29
183 tv_resnet152 ese_vovnet19b_dw 6.040 6.653 93.960 93.347 32.053 33.160 67.947 66.840 60.19 6.54 224 0.875 bilinear bicubic -87.260 -85.637 -66.337 -64.940 -22 +34
184 regnetx_040 selecsls60b 5.973 6.627 94.027 93.373 31.547 33.133 68.453 66.867 22.12 32.77 224 0.875 bicubic -87.587 -86.663 -66.993 -65.147 -42 -11
185 tf_efficientnet_cc_b0_4e efficientnet_es 5.973 6.560 94.027 93.440 29.600 33.693 70.400 66.307 13.31 5.44 224 0.875 bicubic -86.617 -86.640 -68.480 -64.717 +9 -9
186 resnet50 res2net50_26w_6s 5.933 6.520 94.067 93.480 29.093 31.493 70.907 68.507 25.56 37.05 224 0.875 bicubic bilinear -87.877 -86.880 -69.297 -66.787 -58 -20
187 dla102 legacy_seresnext26_32x4d 5.880 6.440 94.120 93.560 32.707 32.893 67.293 67.107 33.27 16.79 224 0.875 bilinear bicubic -87.180 -86.190 -65.833 -65.227 -16 +16
188 regnety_016 skresnet34 5.680 6.387 94.320 93.613 30.413 31.453 69.587 68.547 11.20 22.28 224 0.875 bicubic -87.350 -85.993 -67.947 -66.687 -15 +25
189 selecsls60 regnetx_080 5.653 6.373 94.347 93.627 32.507 32.213 67.493 67.787 30.67 39.57 224 0.875 bicubic -87.377 -87.487 -65.793 -66.307 -14 -54
190 res2next50 resnet34d 5.627 6.347 94.373 93.653 30.867 31.667 69.133 68.333 24.67 21.82 224 0.875 bilinear bicubic -87.213 -86.343 -67.313 -66.633 -12 +10
191 tf_efficientnet_em dla60x 5.520 6.320 94.480 93.680 32.173 33.773 67.827 66.227 6.90 17.35 240 224 0.882 0.875 bicubic bilinear -87.960 -86.780 -66.267 -64.717 -42 -11
192 hrnet_w18 swsl_resnet18 5.493 6.213 94.507 93.787 30.960 31.373 69.040 68.627 21.30 11.69 224 0.875 bilinear -86.827 -84.467 -67.280 -66.337 +12 +58
193 resnest14d pnasnet5large 5.480 6.200 94.520 93.800 28.547 19.053 71.453 80.947 10.61 86.06 224 331 0.875 0.911 bilinear bicubic -86.240 -4.490 -69.323 -11.997 +26 +83
194 tf_efficientnet_lite2 legacy_seresnet50 5.360 6.040 94.640 93.960 30.907 32.440 69.093 67.560 6.09 28.09 260 224 0.890 0.875 bicubic bilinear -87.290 -86.910 -67.323 -65.750 -3 -7
195 tf_efficientnet_b0_ap tf_efficientnet_cc_b0_4e 5.307 5.973 94.693 94.027 28.813 29.520 71.187 70.480 5.29 13.31 224 0.875 bicubic -86.893 -86.637 -69.207 -68.560 +14 +10
196 densenet121 tv_resnet152 5.293 5.973 94.707 94.027 29.907 31.587 70.093 68.413 7.98 60.19 224 0.875 bicubic bilinear -86.277 -87.347 -68.123 -66.803 +24 -26
197 res2net50_26w_4s dla102 5.160 5.827 94.840 94.173 29.360 32.440 70.640 67.560 25.70 33.27 224 0.875 bilinear -87.340 -87.263 -68.930 -66.110 +1 -16
198 tf_mixnet_m regnetx_040 5.080 5.800 94.920 94.200 28.147 31.173 71.853 68.827 5.01 22.12 224 0.875 bicubic -87.250 -87.760 -69.743 -67.377 +5 -44
199 tf_efficientnet_b0 resnet50 5.067 5.800 94.933 94.200 28.800 29.067 71.200 70.933 5.29 25.56 224 0.875 bicubic -87.183 -88.010 -69.200 -69.313 +7 -60
200 mobilenetv3_large_100 selecsls60 5.067 5.720 94.933 94.280 28.187 32.320 71.813 67.680 5.48 30.67 224 0.875 bicubic -86.253 -87.330 -69.523 -65.980 +24 -17
201 res2net50_14w_8s inception_v4 5.040 5.573 94.960 94.427 28.773 16.173 71.227 83.827 25.06 42.68 224 299 0.875 bilinear bicubic -87.700 -4.997 -69.407 -12.087 -16 +77
202 mixnet_s regnety_016 4.907 5.573 95.093 94.427 28.573 30.293 71.427 69.707 4.13 11.20 224 0.875 bicubic -86.923 -87.457 -69.287 -68.067 +15 -17
203 mobilenetv3_rw res2next50 4.907 5.520 95.093 94.480 29.853 30.587 70.147 69.413 5.48 24.67 224 0.875 bicubic bilinear -86.303 -87.310 -67.807 -67.583 +23 -14
204 gluon_resnet50_v1c hrnet_w18 4.893 5.467 95.107 94.533 28.147 30.787 71.853 69.213 25.58 21.30 224 0.875 bicubic bilinear -88.137 -86.843 -70.243 -67.453 -32 +11
205 regnetx_032 tf_efficientnet_lite2 4.853 5.387 95.147 94.613 30.280 30.893 69.720 69.107 15.30 6.09 224 260 0.875 0.890 bicubic -88.267 -87.273 -68.110 -67.337 -36 -3
206 tv_resnext50_32x4d inception_resnet_v2 4.840 5.360 95.160 94.640 30.307 16.227 69.693 83.773 25.03 55.85 224 299 0.875 0.897 bilinear bicubic -87.900 -5.570 -67.963 -12.643 -20 +69
207 tv_resnet101 resnest14d 4.707 5.347 95.293 94.653 29.333 28.587 70.667 71.413 44.55 10.61 224 0.875 bilinear -88.103 -86.393 -68.917 -69.283 -26 +23
208 densenet161 tf_efficientnet_em 4.693 5.347 95.307 94.653 29.547 31.707 70.453 68.293 28.68 6.90 224 240 0.875 0.882 bicubic -87.807 -88.153 -68.513 -66.733 -9 -49
209 selecsls42b tf_efficientnet_b0_ap 4.667 5.307 95.333 94.693 28.587 28.720 71.413 71.280 32.46 5.29 224 0.875 bicubic -87.613 -86.913 -69.563 -69.390 -3 +10
210 tf_efficientnet_lite1 ens_adv_inception_resnet_v2 4.613 5.173 95.387 94.827 28.387 15.680 71.613 84.320 5.42 55.85 240 299 0.882 0.897 bicubic -88.007 -5.477 -69.693 -14.810 -17 +67
211 mobilenetv2_120d mobilenetv3_large_100 4.533 5.120 95.467 94.880 29.280 28.040 70.720 71.960 5.83 5.48 224 0.875 bicubic -87.867 -86.210 -68.770 -69.670 -10 +23
212 fbnetc_100 densenet121 4.133 5.080 95.867 94.920 25.933 29.627 74.067 70.373 5.57 7.98 224 0.875 bilinear bicubic -86.567 -86.480 -71.277 -68.393 +26 +19
213 densenet201 res2net50_26w_4s 4.120 5.067 95.880 94.933 27.547 28.987 72.453 71.013 20.01 25.70 224 0.875 bicubic bilinear -88.630 -87.423 -70.683 -69.303 -29 -4
214 gluon_resnet50_v1b tf_efficientnet_b0 4.120 5.040 95.880 94.960 26.933 28.907 73.067 71.093 25.56 5.29 224 0.875 bicubic -88.420 -87.190 -71.237 -69.093 -17 +4
215 resnet26d tf_mixnet_m 4.040 5.040 95.960 94.960 28.520 28.080 71.480 71.920 16.01 5.01 224 0.875 bicubic -88.030 -87.290 -69.440 -69.810 -4 -1
216 semnasnet_100 res2net50_14w_8s 3.960 4.907 96.040 95.093 26.947 28.320 73.053 71.680 3.89 25.06 224 0.875 bicubic bilinear -87.320 -87.813 -70.613 -69.870 +8 -17
217 tf_mixnet_s regnetx_032 3.880 4.880 96.120 95.120 25.253 29.920 74.747 70.080 4.13 15.30 224 0.875 bicubic -87.630 -88.240 -72.367 -68.470 +4 -38
218 dpn68 mixnet_s 3.867 4.827 96.133 95.173 26.080 28.493 73.920 71.507 12.61 4.13 224 0.875 bicubic -88.143 -86.993 -71.970 -69.367 -6 +10
219 regnety_008 mobilenetv3_rw 3.813 4.813 96.187 95.187 27.133 29.520 72.867 70.480 6.26 5.48 224 0.875 bicubic -87.937 -86.397 -71.047 -68.140 -1 +18
220 dla60 gluon_resnet50_v1c 3.773 4.773 96.227 95.227 27.933 27.773 72.067 72.227 22.04 25.58 224 0.875 bilinear bicubic -88.457 -88.257 -70.177 -70.597 -12 -36
221 ssl_resnet18 selecsls42b 3.747 4.707 96.253 95.293 25.427 28.320 74.573 71.680 11.69 32.46 224 0.875 bilinear bicubic -86.473 -87.593 -72.123 -69.830 +23 -5
222 mobilenetv2_140 tv_resnext50_32x4d 3.720 4.693 96.280 95.307 26.747 29.813 73.253 70.187 6.11 25.03 224 0.875 bicubic bilinear -88.110 -88.067 -70.943 -68.457 -6 -27
223 densenet169 densenet161 3.707 4.573 96.293 95.427 25.613 29.520 74.387 70.480 14.15 28.68 224 0.875 bicubic -88.223 -87.917 -72.487 -68.540 -10 -13
224 regnetx_016 tv_resnet101 3.627 4.547 96.373 95.453 26.293 28.907 73.707 71.093 9.19 44.55 224 0.875 bicubic bilinear -88.543 -88.253 -71.917 -69.323 -14 -32
225 res2net50_48w_2s tf_efficientnet_lite1 3.587 4.467 96.413 95.533 26.613 28.347 73.387 71.653 25.29 5.42 224 240 0.875 0.882 bilinear bicubic -88.963 -88.153 -71.467 -69.733 -30 -21
226 spnasnet_100 mobilenetv2_120d 3.547 4.427 96.453 95.573 24.293 29.040 75.707 70.960 4.42 5.83 224 0.875 bilinear bicubic -86.803 -87.973 -72.897 -69.010 +17 -14
227 tf_mobilenetv3_large_100 fbnetc_100 3.547 4.080 96.453 95.920 25.053 25.480 74.947 74.520 5.48 5.57 224 0.875 bilinear -87.693 -86.630 -72.607 -71.730 -2 +22
228 regnety_006 gluon_resnet50_v1b 3.467 4.027 96.533 95.973 24.893 26.827 75.107 73.173 6.06 25.56 224 0.875 bicubic -87.903 -88.513 -72.817 -71.363 -6 -20
229 tf_efficientnet_es densenet201 3.427 3.987 96.573 96.013 27.493 27.253 72.507 72.747 5.44 20.01 224 0.875 bicubic -89.123 -88.763 -70.787 -70.987 -33
230 legacy_seresnet34 dpn68 3.333 3.933 96.667 96.067 23.800 26.013 76.200 73.987 21.96 12.61 224 0.875 bilinear bicubic -87.557 -88.077 -73.780 -72.027 +5 -7
231 efficientnet_lite0 resnet26d 3.253 3.920 96.747 96.080 25.867 28.227 74.133 71.773 4.65 16.01 224 0.875 bicubic -87.887 -88.130 -71.763 -69.723 -3 -9
232 dla34 tf_mixnet_s 3.227 3.920 96.773 96.080 23.573 25.200 76.427 74.800 15.74 4.13 224 0.875 bilinear bicubic -87.533 -87.590 -74.087 -72.410 +5 0
233 regnety_004 semnasnet_100 3.200 3.880 96.800 96.120 22.653 26.840 77.347 73.160 4.34 3.89 224 0.875 bicubic -87.300 -87.410 -74.887 -70.730 +8 +2
234 mobilenetv2_110d regnety_008 3.173 3.707 96.827 96.293 24.587 26.853 75.413 73.147 4.52 6.26 224 0.875 bicubic -87.777 -88.033 -72.963 -71.327 0 -5
235 mnasnet_100 ssl_resnet18 3.120 3.707 96.880 96.293 24.227 25.280 75.773 74.720 4.38 11.69 224 0.875 bicubic bilinear -87.390 -86.523 -73.243 -72.280 +5 +20
236 tf_efficientnet_lite0 densenet169 3.080 3.680 96.920 96.320 22.907 25.533 77.093 74.467 4.65 14.15 224 0.875 bicubic -87.960 -88.230 -74.683 -72.567 -4 -11
237 skresnet18 mobilenetv2_140 3.013 3.667 96.987 96.333 22.800 26.480 77.200 73.520 11.96 6.11 224 0.875 bicubic -86.647 -88.153 -74.430 -71.210 +10 -10
238 resnet34 tf_mobilenetv3_large_100 2.920 3.653 97.080 96.347 23.680 25.000 76.320 75.000 21.80 5.48 224 0.875 bilinear -88.210 -87.577 -73.940 -72.660 -9 -2
239 tf_mobilenetv3_large_075 dla60 2.867 3.573 97.133 96.427 21.573 27.920 78.427 72.080 3.99 22.04 224 0.875 bilinear -86.813 -88.647 -75.637 -70.100 +7 -19
240 hrnet_w18_small_v2 res2net50_48w_2s 2.720 3.573 97.280 96.427 23.693 26.333 76.307 73.667 15.60 25.29 224 0.875 bilinear -88.470 -88.987 -74.207 -71.737 -13 -34
241 gluon_resnet34_v1b spnasnet_100 2.667 3.533 97.333 96.467 21.680 24.213 78.320 75.787 21.80 4.42 224 0.875 bicubic bilinear -88.293 -86.817 -75.950 -72.977 -8 +12
242 regnetx_008 regnety_006 2.653 3.507 97.347 96.493 22.453 24.893 77.547 75.107 7.26 6.06 224 0.875 bicubic -88.397 -87.863 -75.257 -72.817 -11 -9
243 resnet18d regnetx_016 2.600 3.467 97.400 96.533 21.613 26.387 78.387 73.613 11.71 9.19 224 0.875 bicubic -86.680 -88.703 -75.537 -71.823 +6 -22
244 tv_densenet121 tf_efficientnet_es 2.560 3.387 97.440 96.613 22.667 27.093 77.333 72.907 7.98 5.44 224 0.875 bicubic -88.330 -89.163 -75.043 -71.197 -8 -37
245 regnetx_006 legacy_seresnet34 2.507 3.293 97.493 96.707 20.653 23.613 79.347 76.387 6.20 21.96 224 0.875 bicubic bilinear -87.843 -87.597 -76.777 -73.967 -3 +2
246 legacy_seresnet18 efficientnet_lite0 2.493 3.280 97.507 96.720 20.080 25.720 79.920 74.280 11.78 4.65 224 0.875 bicubic -86.387 -87.890 -76.900 -71.900 +7 -7
247 resnet26 dla34 2.480 3.160 97.520 96.840 22.987 23.573 77.013 76.427 16.00 15.74 224 0.875 bicubic bilinear -88.630 -87.600 -74.753 -74.077 -17 +1
248 regnety_002 mnasnet_100 2.147 3.107 97.853 96.893 18.880 24.227 81.120 75.773 3.16 4.38 224 0.875 bicubic -85.233 -87.403 -77.710 -73.243 +7 +3
249 mobilenetv2_100 mobilenetv2_110d 2.147 3.107 97.853 96.893 19.907 24.373 80.093 75.627 3.50 4.52 224 0.875 bicubic -87.453 -87.863 -77.233 -73.167 0 -4
250 tf_mobilenetv3_small_100 regnety_004 2.013 3.067 97.987 96.933 15.867 22.613 84.133 77.387 2.54 4.34 224 0.875 bilinear bicubic -83.177 -87.433 -79.903 -74.947 +9 +2
251 tf_mobilenetv3_small_075 tf_efficientnet_lite0 2.000 3.067 98.000 96.933 14.813 22.813 85.187 77.187 2.04 4.65 224 0.875 bilinear bicubic -81.520 -87.973 -79.977 -74.757 +11 -8
252 regnetx_004 skresnet18 1.960 2.987 98.040 97.013 19.173 22.733 80.827 77.267 5.16 11.96 224 0.875 bicubic -86.940 -86.673 -77.947 -74.487 0 +6
253 tv_resnet34 resnet34 1.867 2.907 98.133 97.093 20.000 23.560 80.000 76.440 21.80 224 0.875 bilinear -88.073 -88.203 -77.340 -74.060 -8 -12
254 dla46x_c tf_mobilenetv3_large_075 1.760 2.853 98.240 97.147 16.480 21.600 83.520 78.400 1.07 3.99 224 0.875 bilinear -82.490 -86.857 -78.790 -75.620 +6 +3
255 tf_mobilenetv3_large_minimal_100 regnetx_008 1.627 2.733 98.373 97.267 17.120 22.347 82.880 77.653 3.92 7.26 224 0.875 bilinear bicubic -87.343 -88.317 -79.740 -75.363 -4 -13
256 dla60x_c gluon_resnet34_v1b 1.613 2.653 98.387 97.347 18.040 21.547 81.960 78.453 1.32 21.80 224 0.875 bilinear bicubic -84.677 -88.337 -78.120 -76.093 +1 -12
257 gluon_resnet18_v1b hrnet_w18_small_v2 1.547 2.627 98.453 97.373 16.613 23.587 83.387 76.413 11.69 15.60 224 0.875 bicubic bilinear -86.853 -88.563 -80.067 -74.313 -3 -19
258 hrnet_w18_small resnet18d 1.533 2.493 98.467 97.507 18.120 21.600 81.880 78.400 13.19 11.71 224 0.875 bilinear bicubic -87.517 -86.807 -78.990 -75.550 -8 +2
259 dla46_c regnetx_006 1.520 2.467 98.480 97.533 15.267 20.627 84.733 79.373 1.30 6.20 224 0.875 bilinear bicubic -82.130 -87.863 -79.653 -76.803 +2 -5
260 regnetx_002 tv_densenet121 1.373 2.453 98.627 97.547 15.027 22.547 84.973 77.453 2.68 7.98 224 0.875 bicubic -84.817 -88.447 -80.953 -75.163 -2 -14
261 resnet18 legacy_seresnet18 1.160 2.440 98.840 97.560 16.213 19.827 83.787 80.173 11.69 11.78 224 0.875 bilinear bicubic -86.230 -86.440 -80.077 -77.143 -6 +3
262 tf_mobilenetv3_small_minimal_100 resnet26 1.013 2.373 98.987 97.627 11.493 22.693 88.507 77.307 2.04 16.00 224 0.875 bilinear bicubic -80.367 -88.747 -82.177 -75.037 +1 -22
263 tv_resnet50 mobilenetv2_100 0.000 2.147 100.000 97.853 14.453 19.640 85.547 80.360 25.56 3.50 224 0.875 bilinear bicubic -91.880 -87.463 -83.587 -77.500 -48 -4
264 regnety_002 2.067 97.933 18.587 81.413 3.16 224 0.875 bicubic -85.293 -77.983 +3
265 tf_mobilenetv3_small_100 2.000 98.000 15.880 84.120 2.54 224 0.875 bilinear -83.180 -79.900 +5
266 tf_mobilenetv3_small_075 1.973 98.027 14.840 85.160 2.04 224 0.875 bilinear -81.517 -79.950 +7
267 regnetx_004 1.960 98.040 19.080 80.920 5.16 224 0.875 bicubic -86.930 -78.040 -4
268 tv_resnet34 1.827 98.173 19.813 80.187 21.80 224 0.875 bilinear -88.093 -77.527 -12
269 dla46x_c 1.693 98.307 16.373 83.627 1.07 224 0.875 bilinear -82.557 -78.907 +2
270 tf_mobilenetv3_large_minimal_100 1.627 98.373 17.200 82.800 3.92 224 0.875 bilinear -87.333 -79.670 -8
271 dla60x_c 1.587 98.413 17.800 82.200 1.32 224 0.875 bilinear -84.693 -78.360 -3
272 gluon_resnet18_v1b 1.547 98.453 16.600 83.400 11.69 224 0.875 bicubic -86.823 -80.090 -7
273 hrnet_w18_small 1.507 98.493 18.093 81.907 13.19 224 0.875 bilinear -87.533 -79.007 -12
274 dla46_c 1.453 98.547 15.027 84.973 1.30 224 0.875 bilinear -82.187 -79.883 -2
275 regnetx_002 1.267 98.733 14.827 85.173 2.68 224 0.875 bicubic -84.933 -81.143 -6
276 resnet18 1.120 98.880 16.173 83.827 11.69 224 0.875 bilinear -86.250 -80.087 -10
277 tf_mobilenetv3_small_minimal_100 1.027 98.973 11.400 88.600 2.04 224 0.875 bilinear -80.353 -82.270 -3
278 tv_resnet50 0.027 99.973 14.320 85.680 25.56 224 0.875 bilinear -91.853 -83.720 -52

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results/results-imagenet-r-clean.csv
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model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation
tf_efficientnet_l2_ns,97.780,2.220,99.890,0.110,480.31,800,0.960,bicubic
tf_efficientnet_l2_ns,97.770,2.230,99.890,0.110,480.31,800,0.960,bicubic
tf_efficientnet_l2_ns_475,97.750,2.250,99.820,0.180,480.31,475,0.936,bicubic
tf_efficientnet_b7_ns,97.200,2.800,99.700,0.300,66.35,600,0.949,bicubic
tf_efficientnet_b6_ns,97.020,2.980,99.710,0.290,43.04,528,0.942,bicubic
ig_resnext101_32x48d,96.970,3.030,99.670,0.330,828.41,224,0.875,bilinear
tf_efficientnet_b5_ns,96.870,3.130,99.640,0.360,30.39,456,0.934,bicubic
tf_efficientnet_b7_ns,97.210,2.790,99.700,0.300,66.35,600,0.949,bicubic
tf_efficientnet_b6_ns,97.030,2.970,99.710,0.290,43.04,528,0.942,bicubic
ig_resnext101_32x48d,96.960,3.040,99.670,0.330,828.41,224,0.875,bilinear
resnetv2_152x4_bitm,96.880,3.120,99.660,0.340,936.53,480,1.000,bilinear
tf_efficientnet_b5_ns,96.880,3.120,99.640,0.360,30.39,456,0.934,bicubic
ig_resnext101_32x32d,96.780,3.220,99.530,0.470,468.53,224,0.875,bilinear
tf_efficientnet_b4_ns,96.710,3.290,99.640,0.360,19.34,380,0.922,bicubic
tf_efficientnet_b8,96.700,3.300,99.530,0.470,87.41,672,0.954,bicubic
tf_efficientnet_b8,96.700,3.300,99.550,0.450,87.41,672,0.954,bicubic
tf_efficientnet_b7,96.580,3.420,99.510,0.490,66.35,600,0.949,bicubic
tf_efficientnet_b8_ap,96.550,3.450,99.540,0.460,87.41,672,0.954,bicubic
ig_resnext101_32x16d,96.440,3.560,99.540,0.460,194.03,224,0.875,bilinear
tf_efficientnet_b6_ap,96.370,3.630,99.550,0.450,43.04,528,0.942,bicubic
tf_efficientnet_b8_ap,96.560,3.440,99.550,0.450,87.41,672,0.954,bicubic
resnetv2_152x2_bitm,96.490,3.510,99.620,0.380,236.34,480,1.000,bilinear
vit_base_resnet50_384,96.470,3.530,99.660,0.340,98.95,384,1.000,bicubic
ig_resnext101_32x16d,96.430,3.570,99.540,0.460,194.03,224,0.875,bilinear
resnetv2_101x3_bitm,96.380,3.620,99.600,0.400,387.93,480,1.000,bilinear
vit_large_patch16_384,96.360,3.640,99.630,0.370,304.72,384,1.000,bicubic
tf_efficientnet_b7_ap,96.350,3.650,99.590,0.410,66.35,600,0.949,bicubic
tf_efficientnet_b6,96.290,3.710,99.520,0.480,43.04,528,0.942,bicubic
tf_efficientnet_b6_ap,96.360,3.640,99.550,0.450,43.04,528,0.942,bicubic
tf_efficientnet_b7_ap,96.350,3.650,99.600,0.400,66.35,600,0.949,bicubic
seresnet152d_320,96.330,3.670,99.510,0.490,66.84,320,1.000,bicubic
tf_efficientnet_b6,96.280,3.720,99.520,0.480,43.04,528,0.942,bicubic
swsl_resnext101_32x16d,96.270,3.730,99.500,0.500,194.03,224,0.875,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
swsl_resnext101_32x8d,96.220,3.780,99.590,0.410,88.79,224,0.875,bilinear
resnetv2_50x3_bitm,96.170,3.830,99.620,0.380,217.32,480,1.000,bilinear
vit_base_patch16_384,96.170,3.830,99.520,0.480,86.86,384,1.000,bicubic
resnest269e,96.120,3.880,99.520,0.480,110.93,416,0.928,bicubic
tf_efficientnet_b3_ns,96.100,3.900,99.480,0.520,12.23,300,0.904,bicubic
resnet200d_320,96.110,3.890,99.460,0.540,64.69,320,1.000,bicubic
tf_efficientnet_b3_ns,96.110,3.890,99.470,0.530,12.23,300,0.904,bicubic
resnest200e,96.080,3.920,99.470,0.530,70.20,320,0.909,bicubic
tf_efficientnet_b5_ap,96.080,3.920,99.540,0.460,30.39,456,0.934,bicubic
resnest200e,96.070,3.930,99.480,0.520,70.20,320,0.909,bicubic
swsl_resnext101_32x4d,96.050,3.950,99.530,0.470,44.18,224,0.875,bilinear
swsl_resnext101_32x4d,96.060,3.940,99.540,0.460,44.18,224,0.875,bilinear
tf_efficientnet_b5,95.980,4.020,99.450,0.550,30.39,456,0.934,bicubic
ig_resnext101_32x8d,95.930,4.070,99.380,0.620,88.79,224,0.875,bilinear
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
tf_efficientnet_b2_ns,95.520,4.480,99.340,0.660,9.11,260,0.890,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
tresnet_l_448,95.410,4.590,99.300,0.700,55.99,448,0.875,bilinear
ssl_resnext101_32x16d,95.410,4.590,99.410,0.590,194.03,224,0.875,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_base_patch32_384,95.260,4.740,99.180,0.820,88.30,384,1.000,bicubic
vit_large_patch32_384,95.240,4.760,99.320,0.680,306.63,384,1.000,bicubic
swsl_resnet50,95.200,4.800,99.390,0.610,25.56,224,0.875,bilinear
ig_resnext101_32x8d,95.940,4.060,99.390,0.610,88.79,224,0.875,bilinear
seresnet152d,95.940,4.060,99.400,0.600,66.84,256,0.940,bicubic
resnet152d_320,95.850,4.150,99.430,0.570,60.21,320,1.000,bicubic
resnet101d_320,95.750,4.250,99.440,0.560,44.57,320,1.000,bicubic
resnet200d,95.700,4.300,99.340,0.660,64.69,256,0.940,bicubic
swsl_resnext50_32x4d,95.610,4.390,99.440,0.560,25.03,224,0.875,bilinear
resnest101e,95.590,4.410,99.270,0.730,48.28,256,0.875,bilinear
tf_efficientnet_b4,95.590,4.410,99.320,0.680,19.34,380,0.922,bicubic
tf_efficientnet_b2_ns,95.530,4.470,99.340,0.660,9.11,260,0.890,bicubic
tresnet_xl_448,95.520,4.480,99.340,0.660,78.44,448,0.875,bilinear
resnetv2_101x1_bitm,95.500,4.500,99.510,0.490,44.54,480,1.000,bilinear
tf_efficientnet_b4_ap,95.500,4.500,99.390,0.610,19.34,380,0.922,bicubic
resnet152d,95.470,4.530,99.300,0.700,60.21,256,0.940,bicubic
ssl_resnext101_32x16d,95.400,4.600,99.410,0.590,194.03,224,0.875,bilinear
tresnet_l_448,95.400,4.600,99.280,0.720,55.99,448,0.875,bilinear
ssl_resnext101_32x8d,95.330,4.670,99.320,0.680,88.79,224,0.875,bilinear
vit_large_patch16_224,95.290,4.710,99.310,0.690,304.33,224,0.900,bicubic
resnet101d,95.280,4.720,99.260,0.740,44.57,256,0.940,bicubic
vit_base_patch32_384,95.250,4.750,99.180,0.820,88.30,384,1.000,bicubic
vit_base_patch16_224,95.220,4.780,99.240,0.760,86.57,224,0.900,bicubic
swsl_resnet50,95.220,4.780,99.400,0.600,25.56,224,0.875,bilinear
nasnetalarge,95.170,4.830,99.130,0.870,88.75,331,0.911,bicubic
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_b3a,95.140,4.860,99.210,0.790,12.23,320,1.000,bicubic
efficientnet_b3a,95.150,4.850,99.210,0.790,12.23,320,1.000,bicubic
regnety_032,95.070,4.930,99.210,0.790,19.44,224,0.875,bicubic
tresnet_xl,95.060,4.940,99.260,0.740,78.44,224,0.875,bilinear
efficientnet_b3,94.970,5.030,99.230,0.770,12.23,300,0.904,bicubic
tf_efficientnet_b3_ap,94.970,5.030,99.110,0.890,12.23,300,0.904,bicubic
tf_efficientnet_b3,94.910,5.090,99.110,0.890,12.23,300,0.904,bicubic
tresnet_xl,95.070,4.930,99.250,0.750,78.44,224,0.875,bilinear
efficientnet_b3,94.970,5.030,99.240,0.760,12.23,300,0.904,bicubic
tf_efficientnet_b3_ap,94.960,5.040,99.110,0.890,12.23,300,0.904,bicubic
tf_efficientnet_b3,94.910,5.090,99.100,0.900,12.23,300,0.904,bicubic
tresnet_l,94.900,5.100,99.030,0.970,55.99,224,0.875,bilinear
tf_efficientnet_b1_ns,94.880,5.120,99.250,0.750,7.79,240,0.882,bicubic
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
seresnext50_32x4d,94.820,5.180,99.130,0.870,27.56,224,0.875,bicubic
seresnext50_32x4d,94.810,5.190,99.130,0.870,27.56,224,0.875,bicubic
legacy_senet154,94.730,5.270,99.100,0.900,115.09,224,0.875,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
wide_resnet50_2,94.670,5.330,99.050,0.950,68.88,224,0.875,bicubic
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
gluon_resnet152_v1s,94.700,5.300,99.050,0.950,60.32,224,0.875,bicubic
rexnet_200,94.670,5.330,99.090,0.910,16.37,224,0.875,bicubic
tresnet_m_448,94.670,5.330,99.170,0.830,31.39,448,0.875,bilinear
wide_resnet50_2,94.660,5.340,99.050,0.950,68.88,224,0.875,bicubic
gluon_seresnext101_64x4d,94.630,5.370,98.970,1.030,88.23,224,0.875,bicubic
resnest50d,94.620,5.380,99.030,0.970,27.48,224,0.875,bilinear
efficientnet_b3_pruned,94.580,5.420,99.070,0.930,9.86,300,0.904,bicubic
regnety_320,94.520,5.480,99.170,0.830,145.05,224,0.875,bicubic
tf_efficientnet_el,94.450,5.550,99.080,0.920,10.59,300,0.904,bicubic
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_resnet152_v1d,94.440,5.560,99.010,0.990,60.21,224,0.875,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
resnetv2_50x1_bitm,94.530,5.470,99.240,0.760,25.55,480,1.000,bilinear
regnety_320,94.500,5.500,99.170,0.830,145.05,224,0.875,bicubic
tf_efficientnet_el,94.470,5.530,99.080,0.920,10.59,300,0.904,bicubic
gluon_resnet152_v1d,94.450,5.550,99.000,1.000,60.21,224,0.875,bicubic
ecaresnet101d_pruned,94.440,5.560,99.100,0.900,24.88,224,0.875,bicubic
gluon_seresnext101_32x4d,94.430,5.570,99.090,0.910,48.96,224,0.875,bicubic
resnest50d_1s4x24d,94.390,5.610,99.060,0.940,25.68,224,0.875,bicubic
efficientnet_b2a,94.370,5.630,99.050,0.950,9.11,288,1.000,bicubic
gluon_resnext101_64x4d,94.350,5.650,98.880,1.120,83.46,224,0.875,bicubic
efficientnet_b2,94.340,5.660,99.100,0.900,9.11,260,0.875,bicubic
inception_resnet_v2,94.340,5.660,98.800,1.200,55.84,299,0.897,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
rexnet_150,94.270,5.730,99.080,0.920,9.73,224,0.875,bicubic
gluon_resnext101_64x4d,94.330,5.670,98.880,1.120,83.46,224,0.875,bicubic
ssl_resnet50,94.320,5.680,99.160,0.840,25.56,224,0.875,bilinear
regnetx_120,94.300,5.700,99.200,0.800,46.11,224,0.875,bicubic
rexnet_150,94.280,5.720,99.090,0.910,9.73,224,0.875,bicubic
tf_efficientnet_b2_ap,94.270,5.730,98.950,1.050,9.11,260,0.890,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
ecaresnet50d,94.190,5.810,99.020,0.980,25.58,224,0.875,bicubic
dpn92,94.190,5.810,98.930,1.070,37.67,224,0.875,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
mixnet_xl,94.220,5.780,98.820,1.180,11.90,224,0.875,bicubic
dpn92,94.200,5.800,98.930,1.070,37.67,224,0.875,bicubic
ecaresnet50d,94.200,5.800,99.020,0.980,25.58,224,0.875,bicubic
regnetx_320,94.200,5.800,99.050,0.950,107.81,224,0.875,bicubic
tf_efficientnet_b2,94.200,5.800,99.030,0.970,9.11,260,0.890,bicubic
gluon_seresnext50_32x4d,94.180,5.820,98.910,1.090,27.56,224,0.875,bicubic
gluon_resnet101_v1s,94.180,5.820,99.020,0.980,44.67,224,0.875,bicubic
legacy_seresnext101_32x4d,94.170,5.830,98.970,1.030,48.96,224,0.875,bilinear
gluon_resnet101_v1d,94.160,5.840,98.950,1.050,44.57,224,0.875,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
regnety_160,94.120,5.880,99.020,0.980,83.59,224,0.875,bicubic
cspdarknet53,94.090,5.910,98.980,1.020,27.64,256,0.887,bilinear
tf_efficientnet_lite3,94.120,5.880,98.960,1.040,8.20,300,0.904,bilinear
regnety_160,94.110,5.890,99.010,0.990,83.59,224,0.875,bicubic
cspdarknet53,94.100,5.900,98.980,1.020,27.64,256,0.887,bilinear
seresnet50,94.080,5.920,98.970,1.030,28.09,224,0.875,bicubic
tresnet_m,94.080,5.920,98.830,1.170,31.39,224,0.875,bilinear
resnet50d,94.070,5.930,98.920,1.080,25.58,224,0.875,bicubic
tresnet_m,94.070,5.930,98.830,1.170,31.39,224,0.875,bilinear
hrnet_w48,94.030,5.970,99.040,0.960,77.47,224,0.875,bilinear
gluon_resnet152_v1b,94.030,5.970,98.740,1.260,60.19,224,0.875,bicubic
gluon_xception65,94.010,5.990,99.020,0.980,39.92,299,0.903,bicubic
regnety_120,94.010,5.990,99.030,0.970,51.82,224,0.875,bicubic
dla102x2,94.000,6.000,99.030,0.970,41.28,224,0.875,bilinear
dpn107,93.960,6.040,98.840,1.160,86.92,224,0.875,bicubic
regnety_120,94.060,5.940,99.020,0.980,51.82,224,0.875,bicubic
gluon_xception65,94.030,5.970,99.030,0.970,39.92,299,0.903,bicubic
hrnet_w48,94.030,5.970,99.030,0.970,77.47,224,0.875,bilinear
gluon_resnet152_v1b,94.020,5.980,98.740,1.260,60.19,224,0.875,bicubic
dla102x2,94.020,5.980,99.030,0.970,41.28,224,0.875,bilinear
dpn107,93.960,6.040,98.850,1.150,86.92,224,0.875,bicubic
dpn98,93.950,6.050,98.920,1.080,61.57,224,0.875,bicubic
skresnext50_32x4d,93.950,6.050,98.820,1.180,27.48,224,0.875,bicubic
dpn98,93.940,6.060,98.920,1.080,61.57,224,0.875,bicubic
regnety_080,93.890,6.110,99.000,1.000,39.18,224,0.875,bicubic
xception71,93.890,6.110,98.950,1.050,42.34,299,0.903,bicubic
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
cspresnet50,93.860,6.140,98.870,1.130,21.62,256,0.887,bilinear
regnety_080,93.900,6.100,98.990,1.010,39.18,224,0.875,bicubic
xception71,93.900,6.100,98.950,1.050,42.34,299,0.903,bicubic
regnetx_160,93.890,6.110,99.080,0.920,54.28,224,0.875,bicubic
gluon_resnet152_v1c,93.870,6.130,98.800,1.200,60.21,224,0.875,bicubic
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
hrnet_w64,93.830,6.170,98.930,1.070,128.06,224,0.875,bilinear
cspresnet50,93.850,6.150,98.880,1.120,21.62,256,0.887,bilinear
hrnet_w64,93.850,6.150,98.920,1.080,128.06,224,0.875,bilinear
resnext50_32x4d,93.850,6.150,98.830,1.170,25.03,224,0.875,bicubic
ecaresnet50d_pruned,93.820,6.180,99.000,1.000,19.94,224,0.875,bicubic
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
resnext50d_32x4d,93.800,6.200,98.720,1.280,25.05,224,0.875,bicubic
efficientnet_b2_pruned,93.800,6.200,98.910,1.090,8.31,260,0.890,bicubic
regnetx_080,93.790,6.210,98.910,1.090,39.57,224,0.875,bicubic
dla169,93.780,6.220,98.840,1.160,53.39,224,0.875,bilinear
gluon_resnet101_v1b,93.770,6.230,98.710,1.290,44.55,224,0.875,bicubic
resnext101_32x8d,93.770,6.230,98.950,1.050,88.79,224,0.875,bilinear
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
dpn131,93.760,6.240,98.810,1.190,79.25,224,0.875,bicubic
tf_efficientnet_b0_ns,93.760,6.240,98.980,1.020,5.29,224,0.875,bicubic
cspresnext50,93.750,6.250,98.840,1.160,20.57,224,0.875,bilinear
efficientnet_em,93.750,6.250,98.920,1.080,6.90,240,0.882,bicubic
xception65,93.750,6.250,98.870,1.130,39.92,299,0.903,bicubic
wide_resnet101_2,93.730,6.270,98.810,1.190,126.89,224,0.875,bilinear
hrnet_w40,93.710,6.290,98.800,1.200,57.56,224,0.875,bilinear
resnetblur50,93.710,6.290,98.810,1.190,25.56,224,0.875,bicubic
tf_efficientnet_b1,93.710,6.290,98.800,1.200,7.79,240,0.882,bicubic
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
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
vit_base_patch16_224,93.600,6.400,98.760,1.240,86.54,224,0.900,bicubic
gluon_resnet50_v1s,93.590,6.410,98.840,1.160,25.68,224,0.875,bicubic
res2net50_26w_6s,93.590,6.410,98.750,1.250,37.05,224,0.875,bilinear
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
dla102x,93.530,6.470,98.850,1.150,26.31,224,0.875,bilinear
gluon_resnet50_v1d,93.530,6.470,98.710,1.290,25.58,224,0.875,bicubic
res2net101_26w_4s,93.520,6.480,98.600,1.400,45.21,224,0.875,bilinear
selecsls60b,93.500,6.500,98.840,1.160,32.77,224,0.875,bicubic
xception41,93.480,6.520,98.750,1.250,26.97,299,0.903,bicubic
hrnet_w40,93.710,6.290,98.800,1.200,57.56,224,0.875,bilinear
resnetblur50,93.710,6.290,98.800,1.200,25.56,224,0.875,bicubic
rexnet_130,93.680,6.320,98.720,1.280,7.56,224,0.875,bicubic
regnetx_040,93.680,6.320,98.950,1.050,22.12,224,0.875,bicubic
gluon_resnext50_32x4d,93.670,6.330,98.700,1.300,25.03,224,0.875,bicubic
gluon_resnet101_v1c,93.660,6.340,98.760,1.240,44.57,224,0.875,bicubic
regnetx_064,93.650,6.350,99.050,0.950,26.21,224,0.875,bicubic
xception,93.650,6.350,98.790,1.210,22.86,299,0.897,bicubic
tf_efficientnet_b1_ap,93.640,6.360,98.780,1.220,7.79,240,0.882,bicubic
hrnet_w44,93.630,6.370,98.950,1.050,67.06,224,0.875,bilinear
regnety_040,93.610,6.390,98.960,1.040,20.65,224,0.875,bicubic
dpn68b,93.600,6.400,98.710,1.290,12.61,224,0.875,bicubic
gluon_inception_v3,93.590,6.410,98.840,1.160,23.83,299,0.875,bicubic
gluon_resnet50_v1s,93.590,6.410,98.830,1.170,25.68,224,0.875,bicubic
tf_efficientnet_cc_b1_8e,93.580,6.420,98.690,1.310,39.72,240,0.882,bicubic
res2net50_26w_6s,93.570,6.430,98.750,1.250,37.05,224,0.875,bilinear
dla60_res2next,93.560,6.440,98.800,1.200,17.03,224,0.875,bilinear
gluon_resnet50_v1d,93.550,6.450,98.710,1.290,25.58,224,0.875,bicubic
res2net101_26w_4s,93.520,6.480,98.630,1.370,45.21,224,0.875,bilinear
dla102x,93.510,6.490,98.850,1.150,26.31,224,0.875,bilinear
xception41,93.480,6.520,98.760,1.240,26.97,299,0.903,bicubic
selecsls60b,93.480,6.520,98.840,1.160,32.77,224,0.875,bicubic
resnet50,93.480,6.520,98.590,1.410,25.56,224,0.875,bicubic
tf_efficientnet_em,93.470,6.530,98.750,1.250,6.90,240,0.882,bicubic
resnet50,93.460,6.540,98.600,1.400,25.56,224,0.875,bicubic
res2net50_26w_8s,93.450,6.550,98.700,1.300,48.40,224,0.875,bilinear
legacy_seresnet152,93.440,6.560,98.850,1.150,66.82,224,0.875,bilinear
legacy_seresnext50_32x4d,93.430,6.570,98.800,1.200,27.56,224,0.875,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
dla102,93.260,6.740,98.780,1.220,33.27,224,0.875,bilinear
legacy_seresnet101,93.260,6.740,98.740,1.260,49.33,224,0.875,bilinear
mixnet_l,93.260,6.740,98.700,1.300,7.33,224,0.875,bicubic
regnetx_032,93.250,6.750,98.730,1.270,15.30,224,0.875,bicubic
resnest26d,93.240,6.760,98.850,1.150,17.07,224,0.875,bilinear
tv_resnet152,93.240,6.760,98.750,1.250,60.19,224,0.875,bilinear
tf_inception_v3,93.200,6.800,98.480,1.520,23.83,299,0.875,bicubic
dla60x,93.190,6.810,98.710,1.290,17.35,224,0.875,bilinear
legacy_seresnet152,93.460,6.540,98.850,1.150,66.82,224,0.875,bilinear
res2net50_26w_8s,93.450,6.550,98.710,1.290,48.40,224,0.875,bilinear
legacy_seresnext50_32x4d,93.400,6.600,98.800,1.200,27.56,224,0.875,bilinear
dla60_res2net,93.390,6.610,98.840,1.160,20.85,224,0.875,bilinear
hrnet_w30,93.390,6.610,98.830,1.170,37.71,224,0.875,bilinear
dla102,93.300,6.700,98.780,1.220,33.27,224,0.875,bilinear
legacy_seresnet101,93.280,6.720,98.750,1.250,49.33,224,0.875,bilinear
mixnet_l,93.280,6.720,98.710,1.290,7.33,224,0.875,bicubic
regnetx_032,93.270,6.730,98.740,1.260,15.30,224,0.875,bicubic
resnest26d,93.260,6.740,98.840,1.160,17.07,224,0.875,bilinear
tv_resnet152,93.250,6.750,98.750,1.250,60.19,224,0.875,bilinear
tf_inception_v3,93.210,6.790,98.480,1.520,23.83,299,0.875,bicubic
dla60x,93.210,6.790,98.720,1.280,17.35,224,0.875,bilinear
res2net50_26w_4s,93.180,6.820,98.670,1.330,25.70,224,0.875,bilinear
res2next50,93.150,6.850,98.660,1.340,24.67,224,0.875,bilinear
efficientnet_b1,93.060,6.940,98.540,1.460,7.79,240,0.875,bicubic
tf_mixnet_l,93.040,6.960,98.540,1.460,7.33,224,0.875,bicubic
res2net50_14w_8s,93.030,6.970,98.700,1.300,25.06,224,0.875,bilinear
adv_inception_v3,93.010,6.990,98.490,1.510,23.83,299,0.875,bicubic
res2next50,93.130,6.870,98.660,1.340,24.67,224,0.875,bilinear
efficientnet_b1,93.060,6.940,98.530,1.470,7.79,240,0.875,bicubic
tf_mixnet_l,93.050,6.950,98.540,1.460,7.33,224,0.875,bicubic
regnety_016,93.030,6.970,98.690,1.310,11.20,224,0.875,bicubic
res2net50_14w_8s,93.010,6.990,98.700,1.300,25.06,224,0.875,bilinear
selecsls60,93.010,6.990,98.830,1.170,30.67,224,0.875,bicubic
regnety_016,93.000,7.000,98.680,1.320,11.20,224,0.875,bicubic
efficientnet_b1_pruned,92.980,7.020,98.530,1.470,6.33,240,0.882,bicubic
seresnext26t_32x4d,92.960,7.040,98.480,1.520,16.82,224,0.875,bicubic
adv_inception_v3,92.990,7.010,98.480,1.520,23.83,299,0.875,bicubic
seresnext26t_32x4d,92.980,7.020,98.480,1.520,16.82,224,0.875,bicubic
efficientnet_b1_pruned,92.970,7.030,98.520,1.480,6.33,240,0.882,bicubic
hrnet_w32,92.950,7.050,98.840,1.160,41.23,224,0.875,bilinear
efficientnet_es,92.910,7.090,98.690,1.310,5.44,224,0.875,bicubic
efficientnet_es,92.930,7.070,98.680,1.320,5.44,224,0.875,bicubic
gluon_resnet50_v1c,92.910,7.090,98.710,1.290,25.58,224,0.875,bicubic
inception_v3,92.900,7.100,98.330,1.670,23.83,299,0.875,bicubic
tv_resnext50_32x4d,92.900,7.100,98.720,1.280,25.03,224,0.875,bilinear
densenet161,92.900,7.100,98.810,1.190,28.68,224,0.875,bicubic
tv_resnext50_32x4d,92.910,7.090,98.730,1.270,25.03,224,0.875,bilinear
inception_v3,92.900,7.100,98.320,1.680,23.83,299,0.875,bicubic
tv_resnet101,92.880,7.120,98.660,1.340,44.55,224,0.875,bilinear
tf_efficientnet_cc_b0_8e,92.870,7.130,98.460,1.540,24.01,224,0.875,bicubic
densenet161,92.880,7.120,98.810,1.190,28.68,224,0.875,bicubic
tf_efficientnet_cc_b0_8e,92.860,7.140,98.460,1.540,24.01,224,0.875,bicubic
rexnet_100,92.850,7.150,98.620,1.380,4.80,224,0.875,bicubic
tf_efficientnet_cc_b0_4e,92.840,7.160,98.440,1.560,13.31,224,0.875,bicubic
seresnext26tn_32x4d,92.820,7.180,98.560,1.440,16.81,224,0.875,bicubic
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
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
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
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
skresnet34,92.570,7.430,98.520,1.480,22.28,224,0.875,bicubic
legacy_seresnext26_32x4d,92.570,7.430,98.420,1.580,16.79,224,0.875,bicubic
gluon_resnet50_v1b,92.560,7.440,98.550,1.450,25.56,224,0.875,bicubic
tf_efficientnet_es,92.550,7.450,98.510,1.490,5.44,224,0.875,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
res2net50_48w_2s,92.800,7.200,98.460,1.540,25.29,224,0.875,bilinear
seresnext26tn_32x4d,92.770,7.230,98.550,1.450,16.81,224,0.875,bicubic
hrnet_w18,92.760,7.240,98.650,1.350,21.30,224,0.875,bilinear
dla60,92.690,7.310,98.630,1.370,22.04,224,0.875,bilinear
densenet201,92.690,7.310,98.660,1.340,20.01,224,0.875,bicubic
legacy_seresnet50,92.670,7.330,98.660,1.340,28.09,224,0.875,bilinear
resnet34d,92.640,7.360,98.440,1.560,21.82,224,0.875,bicubic
mobilenetv2_120d,92.610,7.390,98.520,1.480,5.83,224,0.875,bicubic
vit_small_patch16_224,92.610,7.390,98.390,1.610,48.75,224,0.900,bicubic
tf_efficientnet_b0_ap,92.600,7.400,98.370,1.630,5.29,224,0.875,bicubic
legacy_seresnext26_32x4d,92.580,7.420,98.430,1.570,16.79,224,0.875,bicubic
tf_efficientnet_lite2,92.580,7.420,98.550,1.450,6.09,260,0.890,bicubic
skresnet34,92.560,7.440,98.510,1.490,22.28,224,0.875,bicubic
regnetx_016,92.560,7.440,98.550,1.450,9.19,224,0.875,bicubic
gluon_resnet50_v1b,92.550,7.450,98.550,1.450,25.56,224,0.875,bicubic
tf_efficientnet_es,92.540,7.460,98.510,1.490,5.44,224,0.875,bicubic
selecsls42b,92.480,7.520,98.440,1.560,32.46,224,0.875,bicubic
efficientnet_b0,92.470,7.530,98.680,1.320,5.29,224,0.875,bicubic
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
densenetblur121d,92.400,7.600,98.420,1.580,8.00,224,0.875,bicubic
tf_efficientnet_b0,92.400,7.600,98.470,1.530,5.29,224,0.875,bicubic
tf_efficientnet_lite1,92.310,7.690,98.490,1.510,5.42,240,0.882,bicubic
tf_efficientnet_lite1,92.320,7.680,98.490,1.510,5.42,240,0.882,bicubic
densenet169,92.300,7.700,98.590,1.410,14.15,224,0.875,bicubic
mixnet_m,92.270,7.730,98.350,1.650,5.01,224,0.875,bicubic
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
tv_resnet50,92.140,7.860,98.420,1.580,25.56,224,0.875,bilinear
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
mixnet_m,92.260,7.740,98.370,1.630,5.01,224,0.875,bicubic
dpn68,92.250,7.750,98.600,1.400,12.61,224,0.875,bicubic
resnet26d,92.230,7.770,98.470,1.530,16.01,224,0.875,bicubic
tf_mixnet_m,92.170,7.830,98.420,1.580,5.01,224,0.875,bicubic
tv_resnet50,92.130,7.870,98.420,1.580,25.56,224,0.875,bilinear
mobilenetv2_140,92.040,7.960,98.250,1.750,6.11,224,0.875,bicubic
ese_vovnet19b_dw,92.020,7.980,98.520,1.480,6.54,224,0.875,bicubic
densenet121,91.940,8.060,98.280,1.720,7.98,224,0.875,bicubic
regnety_008,91.900,8.100,98.420,1.580,6.26,224,0.875,bicubic
regnety_008,91.890,8.110,98.420,1.580,6.26,224,0.875,bicubic
mixnet_s,91.780,8.220,98.300,1.700,4.13,224,0.875,bicubic
tf_mixnet_s,91.680,8.320,98.240,1.760,4.13,224,0.875,bicubic
semnasnet_100,91.660,8.340,98.270,1.730,3.89,224,0.875,bicubic
regnety_006,91.570,8.430,98.430,1.570,6.06,224,0.875,bicubic
mobilenetv3_rw,91.550,8.450,98.270,1.730,5.48,224,0.875,bicubic
legacy_seresnet34,91.480,8.520,98.200,1.800,21.96,224,0.875,bilinear
mobilenetv3_large_100,91.480,8.520,98.320,1.680,5.48,224,0.875,bicubic
resnet26,91.440,8.560,98.280,1.720,16.00,224,0.875,bicubic
tf_mobilenetv3_large_100,91.420,8.580,98.260,1.740,5.48,224,0.875,bilinear
tv_densenet121,91.400,8.600,98.250,1.750,7.98,224,0.875,bicubic
mobilenetv2_110d,91.350,8.650,98.190,1.810,4.52,224,0.875,bicubic
tf_efficientnet_lite0,91.300,8.700,98.090,1.910,4.65,224,0.875,bicubic
fbnetc_100,91.270,8.730,97.830,2.170,5.57,224,0.875,bilinear
tf_mixnet_s,91.690,8.310,98.240,1.760,4.13,224,0.875,bicubic
semnasnet_100,91.660,8.340,98.260,1.740,3.89,224,0.875,bicubic
regnety_006,91.590,8.410,98.430,1.570,6.06,224,0.875,bicubic
mobilenetv3_rw,91.560,8.440,98.270,1.730,5.48,224,0.875,bicubic
mobilenetv3_large_100,91.480,8.520,98.330,1.670,5.48,224,0.875,bicubic
legacy_seresnet34,91.470,8.530,98.200,1.800,21.96,224,0.875,bilinear
resnet26,91.450,8.550,98.280,1.720,16.00,224,0.875,bicubic
tf_mobilenetv3_large_100,91.410,8.590,98.250,1.750,5.48,224,0.875,bilinear
tv_densenet121,91.390,8.610,98.250,1.750,7.98,224,0.875,bicubic
mobilenetv2_110d,91.330,8.670,98.190,1.810,4.52,224,0.875,bicubic
tf_efficientnet_lite0,91.280,8.720,98.090,1.910,4.65,224,0.875,bicubic
dla34,91.260,8.740,98.180,1.820,15.74,224,0.875,bilinear
efficientnet_lite0,91.260,8.740,98.250,1.750,4.65,224,0.875,bicubic
dla34,91.240,8.760,98.180,1.820,15.74,224,0.875,bilinear
mnasnet_100,91.200,8.800,98.050,1.950,4.38,224,0.875,bicubic
resnet34,91.200,8.800,98.240,1.760,21.80,224,0.875,bilinear
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
resnest14d,91.130,8.870,98.330,1.670,10.61,224,0.875,bilinear
gluon_resnet34_v1b,91.100,8.900,98.180,1.820,21.80,224,0.875,bicubic
fbnetc_100,91.260,8.740,97.820,2.180,5.57,224,0.875,bilinear
regnetx_008,91.210,8.790,98.370,1.630,7.26,224,0.875,bicubic
mnasnet_100,91.200,8.800,98.040,1.960,4.38,224,0.875,bicubic
resnet34,91.190,8.810,98.230,1.770,21.80,224,0.875,bilinear
hrnet_w18_small_v2,91.170,8.830,98.360,1.640,15.60,224,0.875,bilinear
resnest14d,91.140,8.860,98.350,1.650,10.61,224,0.875,bilinear
gluon_resnet34_v1b,91.090,8.910,98.180,1.820,21.80,224,0.875,bicubic
swsl_resnet18,91.090,8.910,98.210,1.790,11.69,224,0.875,bilinear
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
ssl_resnet18,90.700,9.300,98.020,1.980,11.69,224,0.875,bilinear
spnasnet_100,90.610,9.390,97.950,2.050,4.42,224,0.875,bilinear
tf_mobilenetv3_large_075,90.320,9.680,97.870,2.130,3.99,224,0.875,bilinear
tv_resnet34,90.290,9.710,97.980,2.020,21.80,224,0.875,bilinear
regnety_004,90.760,9.240,98.080,1.920,4.34,224,0.875,bicubic
regnetx_006,90.750,9.250,98.100,1.900,6.20,224,0.875,bicubic
ssl_resnet18,90.700,9.300,98.030,1.970,11.69,224,0.875,bilinear
spnasnet_100,90.620,9.380,97.950,2.050,4.42,224,0.875,bilinear
tf_mobilenetv3_large_075,90.310,9.690,97.880,2.120,3.99,224,0.875,bilinear
tv_resnet34,90.310,9.690,97.970,2.030,21.80,224,0.875,bilinear
skresnet18,90.160,9.840,97.780,2.220,11.96,224,0.875,bicubic
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
regnetx_004,89.460,10.540,97.770,2.230,5.16,224,0.875,bicubic
legacy_seresnet18,89.270,10.730,97.680,2.320,11.78,224,0.875,bicubic
tf_mobilenetv3_large_minimal_100,89.180,10.820,97.320,2.680,3.92,224,0.875,bilinear
gluon_resnet18_v1b,88.660,11.340,97.100,2.900,11.69,224,0.875,bicubic
regnety_002,88.200,11.800,97.430,2.570,3.16,224,0.875,bicubic
resnet18,88.150,11.850,97.120,2.880,11.69,224,0.875,bilinear
regnetx_002,87.380,12.620,96.990,3.010,2.68,224,0.875,bicubic
dla60x_c,87.110,12.890,97.140,2.860,1.32,224,0.875,bilinear
tf_mobilenetv3_small_100,85.960,14.040,96.400,3.600,2.54,224,0.875,bilinear
dla46x_c,85.480,14.520,96.440,3.560,1.07,224,0.875,bilinear
dla46_c,84.660,15.340,96.200,3.800,1.30,224,0.875,bilinear
tf_mobilenetv3_small_075,84.530,15.470,95.890,4.110,2.04,224,0.875,bilinear
resnet18d,90.000,10.000,97.840,2.160,11.71,224,0.875,bicubic
hrnet_w18_small,89.900,10.100,97.900,2.100,13.19,224,0.875,bilinear
mobilenetv2_100,89.840,10.160,97.840,2.160,3.50,224,0.875,bicubic
regnetx_004,89.450,10.550,97.780,2.220,5.16,224,0.875,bicubic
legacy_seresnet18,89.260,10.740,97.690,2.310,11.78,224,0.875,bicubic
tf_mobilenetv3_large_minimal_100,89.160,10.840,97.320,2.680,3.92,224,0.875,bilinear
gluon_resnet18_v1b,88.670,11.330,97.110,2.890,11.69,224,0.875,bicubic
regnety_002,88.220,11.780,97.430,2.570,3.16,224,0.875,bicubic
resnet18,88.170,11.830,97.120,2.880,11.69,224,0.875,bilinear
regnetx_002,87.370,12.630,96.990,3.010,2.68,224,0.875,bicubic
dla60x_c,87.080,12.920,97.140,2.860,1.32,224,0.875,bilinear
tf_mobilenetv3_small_100,85.980,14.020,96.400,3.600,2.54,224,0.875,bilinear
dla46x_c,85.470,14.530,96.450,3.550,1.07,224,0.875,bilinear
dla46_c,84.710,15.290,96.210,3.790,1.30,224,0.875,bilinear
tf_mobilenetv3_small_075,84.530,15.470,95.880,4.120,2.04,224,0.875,bilinear
tf_mobilenetv3_small_minimal_100,82.670,17.330,95.000,5.000,2.04,224,0.875,bilinear
pnasnet5large,17.870,82.130,42.120,57.880,86.06,331,0.911,bicubic
inception_resnet_v2,16.790,83.210,38.850,61.150,55.85,299,0.897,bicubic
inception_v4,16.540,83.460,37.380,62.620,42.68,299,0.875,bicubic
ens_adv_inception_resnet_v2,16.240,83.760,40.390,59.610,55.85,299,0.897,bicubic

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
2 tf_efficientnet_l2_ns 97.780 97.770 2.220 2.230 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 tf_efficientnet_b7_ns 97.200 97.210 2.800 2.790 99.700 0.300 66.35 600 0.949 bicubic
5 tf_efficientnet_b6_ns 97.020 97.030 2.980 2.970 99.710 0.290 43.04 528 0.942 bicubic
6 ig_resnext101_32x48d 96.970 96.960 3.030 3.040 99.670 0.330 828.41 224 0.875 bilinear
7 tf_efficientnet_b5_ns resnetv2_152x4_bitm 96.870 96.880 3.130 3.120 99.640 99.660 0.360 0.340 30.39 936.53 456 480 0.934 1.000 bicubic bilinear
8 tf_efficientnet_b5_ns 96.880 3.120 99.640 0.360 30.39 456 0.934 bicubic
9 ig_resnext101_32x32d 96.780 3.220 99.530 0.470 468.53 224 0.875 bilinear
10 tf_efficientnet_b4_ns 96.710 3.290 99.640 0.360 19.34 380 0.922 bicubic
11 tf_efficientnet_b8 96.700 3.300 99.530 99.550 0.470 0.450 87.41 672 0.954 bicubic
12 tf_efficientnet_b7 96.580 3.420 99.510 0.490 66.35 600 0.949 bicubic
13 tf_efficientnet_b8_ap 96.550 96.560 3.450 3.440 99.540 99.550 0.460 0.450 87.41 672 0.954 bicubic
14 ig_resnext101_32x16d resnetv2_152x2_bitm 96.440 96.490 3.560 3.510 99.540 99.620 0.460 0.380 194.03 236.34 224 480 0.875 1.000 bilinear
15 tf_efficientnet_b6_ap vit_base_resnet50_384 96.370 96.470 3.630 3.530 99.550 99.660 0.450 0.340 43.04 98.95 528 384 0.942 1.000 bicubic
16 ig_resnext101_32x16d 96.430 3.570 99.540 0.460 194.03 224 0.875 bilinear
17 resnetv2_101x3_bitm 96.380 3.620 99.600 0.400 387.93 480 1.000 bilinear
18 vit_large_patch16_384 96.360 3.640 99.630 0.370 304.72 384 1.000 bicubic
19 tf_efficientnet_b7_ap tf_efficientnet_b6_ap 96.350 96.360 3.650 3.640 99.590 99.550 0.410 0.450 66.35 43.04 600 528 0.949 0.942 bicubic
20 tf_efficientnet_b6 tf_efficientnet_b7_ap 96.290 96.350 3.710 3.650 99.520 99.600 0.480 0.400 43.04 66.35 528 600 0.942 0.949 bicubic
21 seresnet152d_320 96.330 3.670 99.510 0.490 66.84 320 1.000 bicubic
22 tf_efficientnet_b6 96.280 3.720 99.520 0.480 43.04 528 0.942 bicubic
23 swsl_resnext101_32x16d 96.270 3.730 99.500 0.500 194.03 224 0.875 bilinear
24 swsl_resnext101_32x8d 96.240 96.220 3.760 3.780 99.590 0.410 88.79 224 0.875 bilinear
25 vit_base_patch16_384 resnetv2_50x3_bitm 96.190 96.170 3.810 3.830 99.530 99.620 0.470 0.380 86.86 217.32 384 480 1.000 bicubic bilinear
26 vit_base_patch16_384 96.170 3.830 99.520 0.480 86.86 384 1.000 bicubic
27 resnest269e 96.120 3.880 99.520 0.480 110.93 416 0.928 bicubic
28 tf_efficientnet_b3_ns resnet200d_320 96.100 96.110 3.900 3.890 99.480 99.460 0.520 0.540 12.23 64.69 300 320 0.904 1.000 bicubic
29 tf_efficientnet_b3_ns 96.110 3.890 99.470 0.530 12.23 300 0.904 bicubic
30 resnest200e 96.080 3.920 99.470 0.530 70.20 320 0.909 bicubic
31 tf_efficientnet_b5_ap 96.080 3.920 99.540 0.460 30.39 456 0.934 bicubic
32 resnest200e swsl_resnext101_32x4d 96.070 96.060 3.930 3.940 99.480 99.540 0.520 0.460 70.20 44.18 320 224 0.909 0.875 bicubic bilinear
swsl_resnext101_32x4d 96.050 3.950 99.530 0.470 44.18 224 0.875 bilinear
33 tf_efficientnet_b5 95.980 4.020 99.450 0.550 30.39 456 0.934 bicubic
34 ig_resnext101_32x8d 95.930 95.940 4.070 4.060 99.380 99.390 0.620 0.610 88.79 224 0.875 bilinear
35 swsl_resnext50_32x4d seresnet152d 95.620 95.940 4.380 4.060 99.440 99.400 0.560 0.600 25.03 66.84 224 256 0.875 0.940 bilinear bicubic
36 tf_efficientnet_b4 resnet152d_320 95.590 95.850 4.410 4.150 99.330 99.430 0.670 0.570 19.34 60.21 380 320 0.922 1.000 bicubic
37 resnest101e resnet101d_320 95.570 95.750 4.430 4.250 99.270 99.440 0.730 0.560 48.28 44.57 256 320 0.875 1.000 bilinear bicubic
38 tf_efficientnet_b2_ns resnet200d 95.520 95.700 4.480 4.300 99.340 0.660 9.11 64.69 260 256 0.890 0.940 bicubic
39 tresnet_xl_448 swsl_resnext50_32x4d 95.510 95.610 4.490 4.390 99.340 99.440 0.660 0.560 78.44 25.03 448 224 0.875 bilinear
40 tf_efficientnet_b4_ap resnest101e 95.490 95.590 4.510 4.410 99.390 99.270 0.610 0.730 19.34 48.28 380 256 0.922 0.875 bicubic bilinear
41 tresnet_l_448 tf_efficientnet_b4 95.410 95.590 4.590 4.410 99.300 99.320 0.700 0.680 55.99 19.34 448 380 0.875 0.922 bilinear bicubic
42 ssl_resnext101_32x16d tf_efficientnet_b2_ns 95.410 95.530 4.590 4.470 99.410 99.340 0.590 0.660 194.03 9.11 224 260 0.875 0.890 bilinear bicubic
43 pnasnet5large tresnet_xl_448 95.360 95.520 4.640 4.480 99.130 99.340 0.870 0.660 86.06 78.44 331 448 0.911 0.875 bicubic bilinear
44 ssl_resnext101_32x8d resnetv2_101x1_bitm 95.340 95.500 4.660 4.500 99.320 99.510 0.680 0.490 88.79 44.54 224 480 0.875 1.000 bilinear
45 vit_base_patch32_384 tf_efficientnet_b4_ap 95.260 95.500 4.740 4.500 99.180 99.390 0.820 0.610 88.30 19.34 384 380 1.000 0.922 bicubic
46 vit_large_patch32_384 resnet152d 95.240 95.470 4.760 4.530 99.320 99.300 0.680 0.700 306.63 60.21 384 256 1.000 0.940 bicubic
47 swsl_resnet50 ssl_resnext101_32x16d 95.200 95.400 4.800 4.600 99.390 99.410 0.610 0.590 25.56 194.03 224 0.875 bilinear
48 tresnet_l_448 95.400 4.600 99.280 0.720 55.99 448 0.875 bilinear
49 ssl_resnext101_32x8d 95.330 4.670 99.320 0.680 88.79 224 0.875 bilinear
50 vit_large_patch16_224 95.290 4.710 99.310 0.690 304.33 224 0.900 bicubic
51 resnet101d 95.280 4.720 99.260 0.740 44.57 256 0.940 bicubic
52 vit_base_patch32_384 95.250 4.750 99.180 0.820 88.30 384 1.000 bicubic
53 vit_base_patch16_224 95.220 4.780 99.240 0.760 86.57 224 0.900 bicubic
54 swsl_resnet50 95.220 4.780 99.400 0.600 25.56 224 0.875 bilinear
55 nasnetalarge 95.170 4.830 99.130 0.870 88.75 331 0.911 bicubic
56 ecaresnet101d 95.160 4.840 99.230 0.770 44.57 224 0.875 bicubic
57 ssl_resnext101_32x4d 95.160 4.840 99.300 0.700 44.18 224 0.875 bilinear
58 nasnetalarge efficientnet_b3a 95.150 4.850 99.130 99.210 0.870 0.790 88.75 12.23 331 320 0.911 1.000 bicubic
efficientnet_b3a 95.140 4.860 99.210 0.790 12.23 320 1.000 bicubic
59 regnety_032 95.070 4.930 99.210 0.790 19.44 224 0.875 bicubic
60 tresnet_xl 95.060 95.070 4.940 4.930 99.260 99.250 0.740 0.750 78.44 224 0.875 bilinear
61 efficientnet_b3 94.970 5.030 99.230 99.240 0.770 0.760 12.23 300 0.904 bicubic
62 tf_efficientnet_b3_ap 94.970 94.960 5.030 5.040 99.110 0.890 12.23 300 0.904 bicubic
63 tf_efficientnet_b3 94.910 5.090 99.110 99.100 0.890 0.900 12.23 300 0.904 bicubic
64 tresnet_l 94.900 5.100 99.030 0.970 55.99 224 0.875 bilinear
65 tf_efficientnet_b1_ns 94.880 5.120 99.250 0.750 7.79 240 0.882 bicubic
66 tf_efficientnet_lite4 94.870 5.130 99.090 0.910 13.01 380 0.920 bilinear
67 tf_efficientnet_b1_ns seresnext50_32x4d 94.860 94.810 5.140 5.190 99.250 99.130 0.750 0.870 7.79 27.56 240 224 0.882 0.875 bicubic
seresnext50_32x4d 94.820 5.180 99.130 0.870 27.56 224 0.875 bicubic
68 legacy_senet154 94.730 5.270 99.100 0.900 115.09 224 0.875 bilinear
gluon_resnet152_v1s 94.720 5.280 99.060 0.940 60.32 224 0.875 bicubic
69 gluon_senet154 94.710 5.290 98.970 1.030 115.09 224 0.875 bicubic
70 resnest50d_4s2x40d 94.710 5.290 99.130 0.870 30.42 224 0.875 bicubic
71 ssl_resnext50_32x4d 94.700 5.300 99.240 0.760 25.03 224 0.875 bilinear
72 wide_resnet50_2 gluon_resnet152_v1s 94.670 94.700 5.330 5.300 99.050 0.950 68.88 60.32 224 0.875 bicubic
73 rexnet_200 94.660 94.670 5.340 5.330 99.090 0.910 16.37 224 0.875 bicubic
74 tresnet_m_448 94.660 94.670 5.340 5.330 99.150 99.170 0.850 0.830 31.39 448 0.875 bilinear
75 gluon_seresnext101_64x4d wide_resnet50_2 94.650 94.660 5.350 5.340 98.980 99.050 1.020 0.950 88.23 68.88 224 0.875 bicubic
76 gluon_seresnext101_64x4d 94.630 5.370 98.970 1.030 88.23 224 0.875 bicubic
77 resnest50d 94.620 5.380 99.030 0.970 27.48 224 0.875 bilinear
78 efficientnet_b3_pruned 94.580 5.420 99.070 0.930 9.86 300 0.904 bicubic
79 regnety_320 resnetv2_50x1_bitm 94.520 94.530 5.480 5.470 99.170 99.240 0.830 0.760 145.05 25.55 224 480 0.875 1.000 bicubic bilinear
80 tf_efficientnet_el regnety_320 94.450 94.500 5.550 5.500 99.080 99.170 0.920 0.830 10.59 145.05 300 224 0.904 0.875 bicubic
81 gluon_seresnext101_32x4d tf_efficientnet_el 94.450 94.470 5.550 5.530 99.090 99.080 0.910 0.920 48.96 10.59 224 300 0.875 0.904 bicubic
82 ecaresnet101d_pruned gluon_resnet152_v1d 94.450 5.550 99.100 99.000 0.900 1.000 24.88 60.21 224 0.875 bicubic
83 gluon_resnet152_v1d ecaresnet101d_pruned 94.440 5.560 99.010 99.100 0.990 0.900 60.21 24.88 224 0.875 bicubic
84 resnest50d_1s4x24d gluon_seresnext101_32x4d 94.390 94.430 5.610 5.570 99.070 99.090 0.930 0.910 25.68 48.96 224 0.875 bicubic
85 inception_v4 resnest50d_1s4x24d 94.380 94.390 5.620 5.610 98.820 99.060 1.180 0.940 42.68 25.68 299 224 0.875 bicubic
86 efficientnet_b2a 94.370 5.630 99.050 0.950 9.11 288 1.000 bicubic
gluon_resnext101_64x4d 94.350 5.650 98.880 1.120 83.46 224 0.875 bicubic
87 efficientnet_b2 94.340 5.660 99.100 0.900 9.11 260 0.875 bicubic
88 inception_resnet_v2 gluon_resnext101_64x4d 94.340 94.330 5.660 5.670 98.800 98.880 1.200 1.120 55.84 83.46 299 224 0.897 0.875 bicubic
89 ssl_resnet50 94.310 94.320 5.690 5.680 99.150 99.160 0.850 0.840 25.56 224 0.875 bilinear
90 regnetx_120 94.270 94.300 5.730 5.700 99.190 99.200 0.810 0.800 46.11 224 0.875 bicubic
91 rexnet_150 94.270 94.280 5.730 5.720 99.080 99.090 0.920 0.910 9.73 224 0.875 bicubic
92 tf_efficientnet_b2_ap 94.270 5.730 98.950 1.050 9.11 260 0.890 bicubic
93 mixnet_xl 94.230 94.220 5.770 5.780 98.820 1.180 11.90 224 0.875 bicubic
94 regnetx_320 dpn92 94.210 94.200 5.790 5.800 99.050 98.930 0.950 1.070 107.81 37.67 224 0.875 bicubic
95 tf_efficientnet_b2 ecaresnet50d 94.210 94.200 5.790 5.800 99.030 99.020 0.970 0.980 9.11 25.58 260 224 0.890 0.875 bicubic
96 ecaresnet50d regnetx_320 94.190 94.200 5.810 5.800 99.020 99.050 0.980 0.950 25.58 107.81 224 0.875 bicubic
97 dpn92 tf_efficientnet_b2 94.190 94.200 5.810 5.800 98.930 99.030 1.070 0.970 37.67 9.11 224 260 0.875 0.890 bicubic
98 gluon_resnet101_v1d gluon_seresnext50_32x4d 94.170 94.180 5.830 5.820 98.940 98.910 1.060 1.090 44.57 27.56 224 0.875 bicubic
99 gluon_resnet101_v1s 94.170 94.180 5.830 5.820 99.010 99.020 0.990 0.980 44.67 224 0.875 bicubic
100 gluon_seresnext50_32x4d legacy_seresnext101_32x4d 94.170 5.830 98.910 98.970 1.090 1.030 27.56 48.96 224 0.875 bicubic bilinear
101 gluon_resnet101_v1d 94.160 5.840 98.950 1.050 44.57 224 0.875 bicubic
102 ecaresnetlight 94.140 5.860 98.950 1.050 30.16 224 0.875 bicubic
103 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
104 gluon_resnext101_32x4d 94.120 5.880 98.930 1.070 44.18 224 0.875 bicubic
105 regnety_160 tf_efficientnet_lite3 94.120 5.880 99.020 98.960 0.980 1.040 83.59 8.20 224 300 0.875 0.904 bicubic bilinear
106 cspdarknet53 regnety_160 94.090 94.110 5.910 5.890 98.980 99.010 1.020 0.990 27.64 83.59 256 224 0.887 0.875 bilinear bicubic
107 cspdarknet53 94.100 5.900 98.980 1.020 27.64 256 0.887 bilinear
108 seresnet50 94.080 5.920 98.970 1.030 28.09 224 0.875 bicubic
109 tresnet_m 94.080 5.920 98.830 1.170 31.39 224 0.875 bilinear
110 resnet50d 94.070 5.930 98.920 1.080 25.58 224 0.875 bicubic
111 tresnet_m regnety_120 94.070 94.060 5.930 5.940 98.830 99.020 1.170 0.980 31.39 51.82 224 0.875 bilinear bicubic
112 hrnet_w48 gluon_xception65 94.030 5.970 99.040 99.030 0.960 0.970 77.47 39.92 224 299 0.875 0.903 bilinear bicubic
113 gluon_resnet152_v1b hrnet_w48 94.030 5.970 98.740 99.030 1.260 0.970 60.19 77.47 224 0.875 bicubic bilinear
114 gluon_xception65 gluon_resnet152_v1b 94.010 94.020 5.990 5.980 99.020 98.740 0.980 1.260 39.92 60.19 299 224 0.903 0.875 bicubic
115 regnety_120 dla102x2 94.010 94.020 5.990 5.980 99.030 0.970 51.82 41.28 224 0.875 bicubic bilinear
116 dla102x2 dpn107 94.000 93.960 6.000 6.040 99.030 98.850 0.970 1.150 41.28 86.92 224 0.875 bilinear bicubic
117 dpn107 dpn98 93.960 93.950 6.040 6.050 98.840 98.920 1.160 1.080 86.92 61.57 224 0.875 bicubic
118 skresnext50_32x4d 93.950 6.050 98.820 1.180 27.48 224 0.875 bicubic
119 dpn98 regnety_080 93.940 93.900 6.060 6.100 98.920 98.990 1.080 1.010 61.57 39.18 224 0.875 bicubic
120 regnety_080 xception71 93.890 93.900 6.110 6.100 99.000 98.950 1.000 1.050 39.18 42.34 224 299 0.875 0.903 bicubic
121 xception71 regnetx_160 93.890 6.110 98.950 99.080 1.050 0.920 42.34 54.28 299 224 0.903 0.875 bicubic
122 gluon_resnet152_v1c 93.880 93.870 6.120 6.130 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
cspresnet50 93.860 6.140 98.870 1.130 21.62 256 0.887 bilinear
123 ese_vovnet39b 93.850 6.150 98.900 1.100 24.57 224 0.875 bicubic
124 resnext50_32x4d cspresnet50 93.840 93.850 6.160 6.150 98.830 98.880 1.170 1.120 25.03 21.62 224 256 0.875 0.887 bicubic bilinear
125 hrnet_w64 93.830 93.850 6.170 6.150 98.930 98.920 1.070 1.080 128.06 224 0.875 bilinear
126 resnext50_32x4d 93.850 6.150 98.830 1.170 25.03 224 0.875 bicubic
127 ecaresnet50d_pruned 93.820 6.180 99.000 1.000 19.94 224 0.875 bicubic
128 resnext50d_32x4d 93.810 93.800 6.190 6.200 98.740 98.720 1.260 1.280 25.05 224 0.875 bicubic
dla169 93.800 6.200 98.840 1.160 53.39 224 0.875 bilinear
129 efficientnet_b2_pruned 93.800 6.200 98.910 1.090 8.31 260 0.890 bicubic
130 regnetx_080 93.790 6.210 98.910 1.090 39.57 224 0.875 bicubic
131 dla169 93.780 6.220 98.840 1.160 53.39 224 0.875 bilinear
132 gluon_resnet101_v1b 93.770 6.230 98.710 1.290 44.55 224 0.875 bicubic
133 resnext101_32x8d 93.770 6.230 98.950 1.050 88.79 224 0.875 bilinear
134 cspresnext50 dpn131 93.760 6.240 98.840 98.810 1.160 1.190 20.57 79.25 224 0.875 bilinear bicubic
135 dpn131 tf_efficientnet_b0_ns 93.760 6.240 98.800 98.980 1.200 1.020 79.25 5.29 224 0.875 bicubic
136 gluon_resnet101_v1b cspresnext50 93.760 93.750 6.240 6.250 98.700 98.840 1.300 1.160 44.55 20.57 224 0.875 bicubic bilinear
137 xception65 efficientnet_em 93.760 93.750 6.240 6.250 98.860 98.920 1.140 1.080 39.92 6.90 299 240 0.903 0.882 bicubic
138 efficientnet_em xception65 93.740 93.750 6.260 6.250 98.930 98.870 1.070 1.130 6.90 39.92 240 299 0.882 0.903 bicubic
tf_efficientnet_b0_ns 93.740 6.260 98.980 1.020 5.29 224 0.875 bicubic
139 wide_resnet101_2 93.730 6.270 98.810 1.190 126.89 224 0.875 bilinear
hrnet_w40 93.710 6.290 98.800 1.200 57.56 224 0.875 bilinear
resnetblur50 93.710 6.290 98.810 1.190 25.56 224 0.875 bicubic
140 tf_efficientnet_b1 93.710 6.290 98.800 1.200 7.79 240 0.882 bicubic
141 gluon_resnet101_v1c hrnet_w40 93.690 93.710 6.310 6.290 98.760 98.800 1.240 1.200 44.57 57.56 224 0.875 bicubic bilinear
142 regnetx_040 resnetblur50 93.680 93.710 6.320 6.290 98.940 98.800 1.060 1.200 22.12 25.56 224 0.875 bicubic
143 rexnet_130 93.670 93.680 6.330 6.320 98.710 98.720 1.290 1.280 7.56 224 0.875 bicubic
144 gluon_resnext50_32x4d regnetx_040 93.650 93.680 6.350 6.320 98.690 98.950 1.310 1.050 25.03 22.12 224 0.875 bicubic
145 xception gluon_resnext50_32x4d 93.640 93.670 6.360 6.330 98.770 98.700 1.230 1.300 22.86 25.03 299 224 0.897 0.875 bicubic
146 regnetx_064 gluon_resnet101_v1c 93.630 93.660 6.370 6.340 99.050 98.760 0.950 1.240 26.21 44.57 224 0.875 bicubic
147 tf_efficientnet_b1_ap regnetx_064 93.630 93.650 6.370 6.350 98.800 99.050 1.200 0.950 7.79 26.21 240 224 0.882 0.875 bicubic
148 dpn68b xception 93.620 93.650 6.380 6.350 98.700 98.790 1.300 1.210 12.61 22.86 224 299 0.875 0.897 bicubic
149 hrnet_w44 tf_efficientnet_b1_ap 93.620 93.640 6.380 6.360 98.960 98.780 1.040 1.220 67.06 7.79 224 240 0.875 0.882 bilinear bicubic
150 regnety_040 hrnet_w44 93.620 93.630 6.380 6.370 98.950 1.050 20.65 67.06 224 0.875 bicubic bilinear
151 vit_base_patch16_224 regnety_040 93.600 93.610 6.400 6.390 98.760 98.960 1.240 1.040 86.54 20.65 224 0.900 0.875 bicubic
152 gluon_resnet50_v1s dpn68b 93.590 93.600 6.410 6.400 98.840 98.710 1.160 1.290 25.68 12.61 224 0.875 bicubic
153 res2net50_26w_6s gluon_inception_v3 93.590 6.410 98.750 98.840 1.250 1.160 37.05 23.83 224 299 0.875 bilinear bicubic
154 dla60_res2next gluon_resnet50_v1s 93.570 93.590 6.430 6.410 98.800 98.830 1.200 1.170 17.03 25.68 224 0.875 bilinear bicubic
155 tf_efficientnet_cc_b1_8e 93.570 93.580 6.430 6.420 98.690 1.310 39.72 240 0.882 bicubic
156 gluon_inception_v3 res2net50_26w_6s 93.540 93.570 6.460 6.430 98.830 98.750 1.170 1.250 23.83 37.05 299 224 0.875 bicubic bilinear
157 dla102x dla60_res2next 93.530 93.560 6.470 6.440 98.850 98.800 1.150 1.200 26.31 17.03 224 0.875 bilinear
158 gluon_resnet50_v1d 93.530 93.550 6.470 6.450 98.710 1.290 25.58 224 0.875 bicubic
159 res2net101_26w_4s 93.520 6.480 98.600 98.630 1.400 1.370 45.21 224 0.875 bilinear
160 selecsls60b dla102x 93.500 93.510 6.500 6.490 98.840 98.850 1.160 1.150 32.77 26.31 224 0.875 bicubic bilinear
161 xception41 93.480 6.520 98.750 98.760 1.250 1.240 26.97 299 0.903 bicubic
162 selecsls60b 93.480 6.520 98.840 1.160 32.77 224 0.875 bicubic
163 resnet50 93.480 6.520 98.590 1.410 25.56 224 0.875 bicubic
164 tf_efficientnet_em 93.470 6.530 98.750 1.250 6.90 240 0.882 bicubic
165 resnet50 legacy_seresnet152 93.460 6.540 98.600 98.850 1.400 1.150 25.56 66.82 224 0.875 bicubic bilinear
166 res2net50_26w_8s 93.450 6.550 98.700 98.710 1.300 1.290 48.40 224 0.875 bilinear
167 legacy_seresnet152 legacy_seresnext50_32x4d 93.440 93.400 6.560 6.600 98.850 98.800 1.150 1.200 66.82 27.56 224 0.875 bilinear
168 legacy_seresnext50_32x4d dla60_res2net 93.430 93.390 6.570 6.610 98.800 98.840 1.200 1.160 27.56 20.85 224 0.875 bilinear
169 dla60_res2net hrnet_w30 93.380 93.390 6.620 6.610 98.860 98.830 1.140 1.170 20.85 37.71 224 0.875 bilinear
170 hrnet_w30 dla102 93.370 93.300 6.630 6.700 98.830 98.780 1.170 1.220 37.71 33.27 224 0.875 bilinear
171 dla102 legacy_seresnet101 93.260 93.280 6.740 6.720 98.780 98.750 1.220 1.250 33.27 49.33 224 0.875 bilinear
172 legacy_seresnet101 mixnet_l 93.260 93.280 6.740 6.720 98.740 98.710 1.260 1.290 49.33 7.33 224 0.875 bilinear bicubic
173 mixnet_l regnetx_032 93.260 93.270 6.740 6.730 98.700 98.740 1.300 1.260 7.33 15.30 224 0.875 bicubic
174 regnetx_032 resnest26d 93.250 93.260 6.750 6.740 98.730 98.840 1.270 1.160 15.30 17.07 224 0.875 bicubic bilinear
175 resnest26d tv_resnet152 93.240 93.250 6.760 6.750 98.850 98.750 1.150 1.250 17.07 60.19 224 0.875 bilinear
176 tv_resnet152 tf_inception_v3 93.240 93.210 6.760 6.790 98.750 98.480 1.250 1.520 60.19 23.83 224 299 0.875 bilinear bicubic
177 tf_inception_v3 dla60x 93.200 93.210 6.800 6.790 98.480 98.720 1.520 1.280 23.83 17.35 299 224 0.875 bicubic bilinear
dla60x 93.190 6.810 98.710 1.290 17.35 224 0.875 bilinear
178 res2net50_26w_4s 93.180 6.820 98.670 1.330 25.70 224 0.875 bilinear
179 res2next50 93.150 93.130 6.850 6.870 98.660 1.340 24.67 224 0.875 bilinear
180 efficientnet_b1 93.060 6.940 98.540 98.530 1.460 1.470 7.79 240 0.875 bicubic
181 tf_mixnet_l 93.040 93.050 6.960 6.950 98.540 1.460 7.33 224 0.875 bicubic
182 res2net50_14w_8s regnety_016 93.030 6.970 98.700 98.690 1.300 1.310 25.06 11.20 224 0.875 bilinear bicubic
183 adv_inception_v3 res2net50_14w_8s 93.010 6.990 98.490 98.700 1.510 1.300 23.83 25.06 299 224 0.875 bicubic bilinear
184 selecsls60 93.010 6.990 98.830 1.170 30.67 224 0.875 bicubic
185 regnety_016 adv_inception_v3 93.000 92.990 7.000 7.010 98.680 98.480 1.320 1.520 11.20 23.83 224 299 0.875 bicubic
186 efficientnet_b1_pruned seresnext26t_32x4d 92.980 7.020 98.530 98.480 1.470 1.520 6.33 16.82 240 224 0.882 0.875 bicubic
187 seresnext26t_32x4d efficientnet_b1_pruned 92.960 92.970 7.040 7.030 98.480 98.520 1.520 1.480 16.82 6.33 224 240 0.875 0.882 bicubic
188 hrnet_w32 92.950 7.050 98.840 1.160 41.23 224 0.875 bilinear
189 efficientnet_es 92.910 92.930 7.090 7.070 98.690 98.680 1.310 1.320 5.44 224 0.875 bicubic
190 gluon_resnet50_v1c 92.910 7.090 98.710 1.290 25.58 224 0.875 bicubic
191 inception_v3 tv_resnext50_32x4d 92.900 92.910 7.100 7.090 98.330 98.730 1.670 1.270 23.83 25.03 299 224 0.875 bicubic bilinear
192 tv_resnext50_32x4d inception_v3 92.900 7.100 98.720 98.320 1.280 1.680 25.03 23.83 224 299 0.875 bilinear bicubic
densenet161 92.900 7.100 98.810 1.190 28.68 224 0.875 bicubic
193 tv_resnet101 92.880 7.120 98.660 1.340 44.55 224 0.875 bilinear
194 tf_efficientnet_cc_b0_8e densenet161 92.870 92.880 7.130 7.120 98.460 98.810 1.540 1.190 24.01 28.68 224 0.875 bicubic
195 tf_efficientnet_cc_b0_8e 92.860 7.140 98.460 1.540 24.01 224 0.875 bicubic
196 rexnet_100 92.850 7.150 98.620 1.380 4.80 224 0.875 bicubic
197 tf_efficientnet_cc_b0_4e 92.840 7.160 98.440 1.560 13.31 224 0.875 bicubic
198 seresnext26tn_32x4d res2net50_48w_2s 92.820 92.800 7.180 7.200 98.560 98.460 1.440 1.540 16.81 25.29 224 0.875 bicubic bilinear
199 res2net50_48w_2s seresnext26tn_32x4d 92.790 92.770 7.210 7.230 98.470 98.550 1.530 1.450 25.29 16.81 224 0.875 bilinear bicubic
200 hrnet_w18 92.760 7.240 98.660 98.650 1.340 1.350 21.30 224 0.875 bilinear
201 densenet201 dla60 92.690 7.310 98.650 98.630 1.350 1.370 20.01 22.04 224 0.875 bicubic bilinear
202 dla60 densenet201 92.670 92.690 7.330 7.310 98.630 98.660 1.370 1.340 22.04 20.01 224 0.875 bilinear bicubic
203 legacy_seresnet50 92.670 7.330 98.650 98.660 1.350 1.340 28.09 224 0.875 bilinear
204 resnet34d 92.640 7.360 98.420 98.440 1.580 1.560 21.82 224 0.875 bicubic
205 mobilenetv2_120d 92.610 7.390 98.510 98.520 1.490 1.480 5.83 224 0.875 bicubic
206 tf_efficientnet_b0_ap vit_small_patch16_224 92.610 7.390 98.370 98.390 1.630 1.610 5.29 48.75 224 0.875 0.900 bicubic
207 vit_small_patch16_224 tf_efficientnet_b0_ap 92.600 7.400 98.390 98.370 1.610 1.630 48.75 5.29 224 0.900 0.875 bicubic
208 tf_efficientnet_lite2 legacy_seresnext26_32x4d 92.590 92.580 7.410 7.420 98.550 98.430 1.450 1.570 6.09 16.79 260 224 0.890 0.875 bicubic
209 skresnet34 tf_efficientnet_lite2 92.570 92.580 7.430 7.420 98.520 98.550 1.480 1.450 22.28 6.09 224 260 0.875 0.890 bicubic
210 legacy_seresnext26_32x4d skresnet34 92.570 92.560 7.430 7.440 98.420 98.510 1.580 1.490 16.79 22.28 224 0.875 bicubic
211 gluon_resnet50_v1b regnetx_016 92.560 7.440 98.550 1.450 25.56 9.19 224 0.875 bicubic
212 tf_efficientnet_es gluon_resnet50_v1b 92.550 7.450 98.510 98.550 1.490 1.450 5.44 25.56 224 0.875 bicubic
213 regnetx_016 tf_efficientnet_es 92.540 7.460 98.550 98.510 1.450 1.490 9.19 5.44 224 0.875 bicubic
efficientnet_b0 92.480 7.520 98.680 1.320 5.29 224 0.875 bicubic
214 selecsls42b 92.480 7.520 98.440 1.560 32.46 224 0.875 bicubic
215 efficientnet_b0 92.470 7.530 98.680 1.320 5.29 224 0.875 bicubic
216 seresnext26d_32x4d 92.440 7.560 98.540 1.460 16.81 224 0.875 bicubic
217 densenetblur121d 92.400 7.600 98.410 98.420 1.590 1.580 8.00 224 0.875 bicubic
218 tf_efficientnet_b0 92.400 7.600 98.470 1.530 5.29 224 0.875 bicubic
219 tf_efficientnet_lite1 92.310 92.320 7.690 7.680 98.490 1.510 5.42 240 0.882 bicubic
220 densenet169 92.300 7.700 98.590 1.410 14.15 224 0.875 bicubic
221 mixnet_m 92.270 92.260 7.730 7.740 98.350 98.370 1.650 1.630 5.01 224 0.875 bicubic
222 dpn68 92.240 92.250 7.760 7.750 98.610 98.600 1.390 1.400 12.61 224 0.875 bicubic
223 resnet26d 92.230 7.770 98.450 98.470 1.550 1.530 16.01 224 0.875 bicubic
224 tf_mixnet_m 92.200 92.170 7.800 7.830 98.420 1.580 5.01 224 0.875 bicubic
225 tv_resnet50 92.140 92.130 7.860 7.870 98.420 1.580 25.56 224 0.875 bilinear
226 mobilenetv2_140 92.030 92.040 7.970 7.960 98.250 1.750 6.11 224 0.875 bicubic
227 ese_vovnet19b_dw 92.010 92.020 7.990 7.980 98.510 98.520 1.490 1.480 6.54 224 0.875 bicubic
228 densenet121 91.940 8.060 98.280 1.720 7.98 224 0.875 bicubic
229 regnety_008 91.900 91.890 8.100 8.110 98.420 1.580 6.26 224 0.875 bicubic
230 mixnet_s 91.780 8.220 98.300 1.700 4.13 224 0.875 bicubic
231 tf_mixnet_s 91.680 91.690 8.320 8.310 98.240 1.760 4.13 224 0.875 bicubic
232 semnasnet_100 91.660 8.340 98.270 98.260 1.730 1.740 3.89 224 0.875 bicubic
233 regnety_006 91.570 91.590 8.430 8.410 98.430 1.570 6.06 224 0.875 bicubic
234 mobilenetv3_rw 91.550 91.560 8.450 8.440 98.270 1.730 5.48 224 0.875 bicubic
235 legacy_seresnet34 mobilenetv3_large_100 91.480 8.520 98.200 98.330 1.800 1.670 21.96 5.48 224 0.875 bilinear bicubic
236 mobilenetv3_large_100 legacy_seresnet34 91.480 91.470 8.520 8.530 98.320 98.200 1.680 1.800 5.48 21.96 224 0.875 bicubic bilinear
237 resnet26 91.440 91.450 8.560 8.550 98.280 1.720 16.00 224 0.875 bicubic
238 tf_mobilenetv3_large_100 91.420 91.410 8.580 8.590 98.260 98.250 1.740 1.750 5.48 224 0.875 bilinear
239 tv_densenet121 91.400 91.390 8.600 8.610 98.250 1.750 7.98 224 0.875 bicubic
240 mobilenetv2_110d 91.350 91.330 8.650 8.670 98.190 1.810 4.52 224 0.875 bicubic
241 tf_efficientnet_lite0 91.300 91.280 8.700 8.720 98.090 1.910 4.65 224 0.875 bicubic
242 fbnetc_100 dla34 91.270 91.260 8.730 8.740 97.830 98.180 2.170 1.820 5.57 15.74 224 0.875 bilinear
243 efficientnet_lite0 91.260 8.740 98.250 1.750 4.65 224 0.875 bicubic
244 dla34 fbnetc_100 91.240 91.260 8.760 8.740 98.180 97.820 1.820 2.180 15.74 5.57 224 0.875 bilinear
245 mnasnet_100 regnetx_008 91.200 91.210 8.800 8.790 98.050 98.370 1.950 1.630 4.38 7.26 224 0.875 bicubic
246 resnet34 mnasnet_100 91.200 8.800 98.240 98.040 1.760 1.960 21.80 4.38 224 0.875 bilinear bicubic
247 regnetx_008 resnet34 91.180 91.190 8.820 8.810 98.380 98.230 1.620 1.770 7.26 21.80 224 0.875 bicubic bilinear
248 hrnet_w18_small_v2 91.170 8.830 98.340 98.360 1.660 1.640 15.60 224 0.875 bilinear
249 resnest14d 91.130 91.140 8.870 8.860 98.330 98.350 1.670 1.650 10.61 224 0.875 bilinear
250 gluon_resnet34_v1b 91.100 91.090 8.900 8.910 98.180 1.820 21.80 224 0.875 bicubic
251 swsl_resnet18 91.090 8.910 98.210 1.790 11.69 224 0.875 bilinear
252 regnety_004 90.780 90.760 9.220 9.240 98.080 1.920 4.34 224 0.875 bicubic
253 regnetx_006 90.760 90.750 9.240 9.250 98.100 1.900 6.20 224 0.875 bicubic
254 ssl_resnet18 90.700 9.300 98.020 98.030 1.980 1.970 11.69 224 0.875 bilinear
255 spnasnet_100 90.610 90.620 9.390 9.380 97.950 2.050 4.42 224 0.875 bilinear
256 tf_mobilenetv3_large_075 90.320 90.310 9.680 9.690 97.870 97.880 2.130 2.120 3.99 224 0.875 bilinear
257 tv_resnet34 90.290 90.310 9.710 9.690 97.980 97.970 2.020 2.030 21.80 224 0.875 bilinear
258 skresnet18 90.160 9.840 97.780 2.220 11.96 224 0.875 bicubic
259 resnet18d 89.990 90.000 10.010 10.000 97.830 97.840 2.170 2.160 11.71 224 0.875 bicubic
260 hrnet_w18_small 89.880 89.900 10.120 10.100 97.900 2.100 13.19 224 0.875 bilinear
261 mobilenetv2_100 89.830 89.840 10.170 10.160 97.830 97.840 2.170 2.160 3.50 224 0.875 bicubic
262 regnetx_004 89.460 89.450 10.540 10.550 97.770 97.780 2.230 2.220 5.16 224 0.875 bicubic
263 legacy_seresnet18 89.270 89.260 10.730 10.740 97.680 97.690 2.320 2.310 11.78 224 0.875 bicubic
264 tf_mobilenetv3_large_minimal_100 89.180 89.160 10.820 10.840 97.320 2.680 3.92 224 0.875 bilinear
265 gluon_resnet18_v1b 88.660 88.670 11.340 11.330 97.100 97.110 2.900 2.890 11.69 224 0.875 bicubic
266 regnety_002 88.200 88.220 11.800 11.780 97.430 2.570 3.16 224 0.875 bicubic
267 resnet18 88.150 88.170 11.850 11.830 97.120 2.880 11.69 224 0.875 bilinear
268 regnetx_002 87.380 87.370 12.620 12.630 96.990 3.010 2.68 224 0.875 bicubic
269 dla60x_c 87.110 87.080 12.890 12.920 97.140 2.860 1.32 224 0.875 bilinear
270 tf_mobilenetv3_small_100 85.960 85.980 14.040 14.020 96.400 3.600 2.54 224 0.875 bilinear
271 dla46x_c 85.480 85.470 14.520 14.530 96.440 96.450 3.560 3.550 1.07 224 0.875 bilinear
272 dla46_c 84.660 84.710 15.340 15.290 96.200 96.210 3.800 3.790 1.30 224 0.875 bilinear
273 tf_mobilenetv3_small_075 84.530 15.470 95.890 95.880 4.110 4.120 2.04 224 0.875 bilinear
274 tf_mobilenetv3_small_minimal_100 82.670 17.330 95.000 5.000 2.04 224 0.875 bilinear
275 pnasnet5large 17.870 82.130 42.120 57.880 86.06 331 0.911 bicubic
276 inception_resnet_v2 16.790 83.210 38.850 61.150 55.85 299 0.897 bicubic
277 inception_v4 16.540 83.460 37.380 62.620 42.68 299 0.875 bicubic
278 ens_adv_inception_resnet_v2 16.240 83.760 40.390 59.610 55.85 299 0.897 bicubic

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results/results-imagenet-r.csv
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model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation,top1_diff,top5_diff,rank_diff
ig_resnext101_32x48d,79.650,20.350,89.393,10.607,828.41,224,0.875,bilinear,-17.320,-10.277,+4
ig_resnext101_32x32d,79.457,20.543,89.183,10.817,468.53,224,0.875,bilinear,-17.323,-10.347,+5
ig_resnext101_32x16d,78.837,21.163,88.480,11.520,194.03,224,0.875,bilinear,-17.603,-11.060,+9
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,+12
ig_resnext101_32x8d,75.813,24.187,86.200,13.800,88.79,224,0.875,bilinear,-20.117,-13.180,+20
swsl_resnext101_32x8d,75.590,24.410,86.937,13.063,88.79,224,0.875,bilinear,-20.650,-12.653,+11
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,+15
swsl_resnext50_32x4d,68.977,31.023,82.810,17.190,25.03,224,0.875,bilinear,-26.643,-16.630,+17
swsl_resnet50,68.297,31.703,83.313,16.687,25.56,224,0.875,bilinear,-26.903,-16.077,+28
tf_efficientnet_b7_ns,67.510,32.490,81.383,18.617,66.35,600,0.949,bicubic,-29.690,-18.317,-9
tf_efficientnet_b6_ns,65.587,34.413,79.553,20.447,43.04,528,0.942,bicubic,-31.433,-20.157,-9
tf_efficientnet_b5_ns,63.047,36.953,77.777,22.223,30.39,456,0.934,bicubic,-33.823,-21.863,-8
tf_efficientnet_b4_ns,61.230,38.770,76.173,23.827,19.34,380,0.922,bicubic,-35.480,-23.467,-7
tf_efficientnet_b8_ap,57.830,42.170,72.957,27.043,87.41,672,0.954,bicubic,-38.720,-26.583,-5
tf_efficientnet_b3_ns,57.417,42.583,72.387,27.613,12.23,300,0.904,bicubic,-38.683,-27.093,+4
vit_large_patch16_384,54.750,45.250,70.007,29.993,304.72,384,1.000,bicubic,-41.610,-29.623,-4
tf_efficientnet_b5_ap,53.870,46.130,69.160,30.840,30.39,456,0.934,bicubic,-42.210,-30.380,+3
tf_efficientnet_b2_ns,53.600,46.400,70.270,29.730,9.11,260,0.890,bicubic,-41.920,-29.070,+10
tf_efficientnet_b6_ap,53.560,46.440,68.550,31.450,43.04,528,0.942,bicubic,-42.810,-31.000,-8
tf_efficientnet_b8,53.410,46.590,69.090,30.910,87.41,672,0.954,bicubic,-43.290,-30.440,-13
tf_efficientnet_b7_ap,53.260,46.740,68.873,31.127,66.35,600,0.949,bicubic,-43.090,-30.717,-8
tf_efficientnet_b4_ap,53.090,46.910,68.210,31.790,19.34,380,0.922,bicubic,-42.400,-31.180,+8
tf_efficientnet_b7,52.393,47.607,68.233,31.767,66.35,600,0.949,bicubic,-44.187,-31.277,-15
swsl_resnet18,52.327,47.673,70.480,29.520,11.69,224,0.875,bilinear,-38.763,-27.730,+213
tf_efficientnet_b1_ns,50.883,49.117,67.910,32.090,7.79,240,0.882,bicubic,-43.977,-31.340,+24
vit_base_patch16_384,50.883,49.117,65.270,34.730,86.86,384,1.000,bicubic,-45.307,-34.260,-9
ssl_resnext101_32x16d,50.257,49.743,66.033,33.967,194.03,224,0.875,bilinear,-45.153,-33.267,+5
resnest269e,50.153,49.847,64.670,35.330,110.93,416,0.928,bicubic,-45.967,-34.850,-10
tf_efficientnet_b3_ap,50.057,49.943,65.210,34.790,12.23,300,0.904,bicubic,-44.913,-33.900,+16
resnest200e,49.873,50.127,64.743,35.257,70.20,320,0.909,bicubic,-46.197,-34.737,-9
tf_efficientnet_b5,49.510,50.490,65.657,34.343,30.39,456,0.934,bicubic,-46.470,-33.793,-8
resnest101e,49.367,50.633,65.587,34.413,48.28,256,0.875,bilinear,-46.203,-33.683,-5
ssl_resnext101_32x8d,49.067,50.933,65.480,34.520,88.79,224,0.875,bilinear,-46.273,-33.840,+1
efficientnet_b3a,48.563,51.437,64.250,35.750,12.23,320,1.000,bicubic,-46.577,-34.960,+7
ecaresnet101d,48.527,51.473,64.100,35.900,44.57,224,0.875,bicubic,-46.633,-35.130,+3
vit_large_patch32_384,48.250,51.750,61.830,38.170,306.63,384,1.000,bicubic,-46.990,-37.490,0
efficientnet_b3,48.170,51.830,64.133,35.867,12.23,300,0.904,bicubic,-46.800,-35.097,+7
resnest50d_4s2x40d,47.483,52.517,63.807,36.193,30.42,224,0.875,bicubic,-47.227,-35.323,+16
efficientnet_b3_pruned,47.447,52.553,62.793,37.207,9.86,300,0.904,bicubic,-47.133,-36.277,+22
tf_efficientnet_b6,47.213,52.787,63.110,36.890,43.04,528,0.942,bicubic,-49.077,-36.410,-26
ssl_resnext101_32x4d,47.177,52.823,63.367,36.633,44.18,224,0.875,bilinear,-47.983,-35.933,-2
tf_efficientnet_b4,47.083,52.917,62.867,37.133,19.34,380,0.922,bicubic,-48.507,-36.463,-16
vit_base_patch16_224,46.710,53.290,62.997,37.003,86.54,224,0.900,bicubic,-46.890,-35.763,+95
gluon_seresnext101_64x4d,46.677,53.323,61.303,38.697,88.23,224,0.875,bicubic,-47.973,-37.677,+15
regnety_032,46.620,53.380,62.180,37.820,19.44,224,0.875,bicubic,-48.450,-37.030,-3
tresnet_xl,46.283,53.717,61.943,38.057,78.44,224,0.875,bilinear,-48.777,-37.317,-3
resnest50d_1s4x24d,46.083,53.917,62.377,37.623,25.68,224,0.875,bicubic,-48.307,-36.693,+20
tf_efficientnet_b0_ns,46.047,53.953,63.253,36.747,5.29,224,0.875,bicubic,-47.693,-35.727,+75
resnest50d,45.937,54.063,62.623,37.377,27.48,224,0.875,bilinear,-48.683,-36.407,+11
gluon_seresnext101_32x4d,45.590,54.410,61.143,38.857,48.96,224,0.875,bicubic,-48.860,-37.947,+14
gluon_resnet152_v1d,45.430,54.570,60.077,39.923,60.21,224,0.875,bicubic,-49.010,-38.933,+15
ssl_resnext50_32x4d,45.407,54.593,62.047,37.953,25.03,224,0.875,bilinear,-49.293,-37.193,+3
tresnet_xl_448,45.223,54.777,61.437,38.563,78.44,448,0.875,bilinear,-50.287,-37.903,-24
nasnetalarge,45.210,54.790,57.883,42.117,88.75,331,0.911,bicubic,-49.940,-41.247,-14
tf_efficientnet_b3,45.107,54.893,60.650,39.350,12.23,300,0.904,bicubic,-49.803,-38.460,-9
rexnet_200,45.047,54.953,62.317,37.683,16.37,224,0.875,bicubic,-49.613,-36.773,+1
ecaresnetlight,44.890,55.110,60.770,39.230,30.16,224,0.875,bicubic,-49.250,-38.180,+28
tf_efficientnet_b2_ap,44.700,55.300,60.680,39.320,9.11,260,0.890,bicubic,-49.570,-38.270,+18
vit_base_patch32_384,44.693,55.307,58.530,41.470,88.30,384,1.000,bicubic,-50.567,-40.650,-24
ens_adv_inception_resnet_v2,44.393,55.607,58.117,41.883,55.84,299,0.897,bicubic,-49.737,-40.673,+27
tresnet_l,44.363,55.637,59.953,40.047,55.99,224,0.875,bilinear,-50.537,-39.077,-14
gluon_resnext101_32x4d,44.290,55.710,59.090,40.910,44.18,224,0.875,bicubic,-49.830,-39.840,+28
wide_resnet50_2,44.177,55.823,59.727,40.273,68.88,224,0.875,bicubic,-50.493,-39.323,-7
cspresnext50,44.147,55.853,60.533,39.467,20.57,224,0.875,bilinear,-49.613,-38.307,+54
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,-14
ssl_resnet50,44.010,55.990,61.887,38.113,25.56,224,0.875,bilinear,-50.300,-37.263,+6
inception_resnet_v2,44.003,55.997,57.907,42.093,55.84,299,0.897,bicubic,-50.337,-40.893,+4
pnasnet5large,43.950,56.050,56.730,43.270,86.06,331,0.911,bicubic,-51.410,-42.400,-36
gluon_resnext101_64x4d,43.877,56.123,58.710,41.290,83.46,224,0.875,bicubic,-50.473,-40.170,0
ecaresnet50d,43.750,56.250,60.387,39.613,25.58,224,0.875,bicubic,-50.440,-38.543,+9
ecaresnet101d_pruned,43.737,56.263,59.607,40.393,24.88,224,0.875,bicubic,-50.713,-39.473,-7
rexnet_150,43.690,56.310,60.897,39.103,9.73,224,0.875,bicubic,-50.580,-38.183,+2
gluon_resnet101_v1d,43.440,56.560,58.613,41.387,44.57,224,0.875,bicubic,-50.730,-40.327,+8
gluon_resnet101_v1s,43.363,56.637,58.503,41.497,44.67,224,0.875,bicubic,-50.807,-40.507,+8
cspdarknet53,43.357,56.643,59.430,40.570,27.64,256,0.887,bilinear,-50.733,-39.550,+16
dpn68b,43.287,56.713,58.673,41.327,12.61,224,0.875,bicubic,-50.333,-40.027,+58
resnest26d,43.140,56.860,60.623,39.377,17.07,224,0.875,bilinear,-50.100,-38.227,+82
dpn131,43.047,56.953,57.440,42.560,79.25,224,0.875,bicubic,-50.713,-41.360,+40
cspresnet50,43.030,56.970,59.153,40.847,21.62,256,0.887,bilinear,-50.830,-39.717,+28
tf_efficientnet_lite4,42.967,57.033,57.620,42.380,13.01,380,0.920,bilinear,-51.903,-41.470,-33
gluon_resnet152_v1b,42.903,57.097,57.750,42.250,60.19,224,0.875,bicubic,-51.127,-41.290,+15
dpn107,42.857,57.143,57.367,42.633,86.92,224,0.875,bicubic,-51.103,-41.473,+18
tf_efficientnet_b1_ap,42.803,57.197,58.813,41.187,7.79,240,0.882,bicubic,-50.827,-39.987,+50
gluon_resnet152_v1c,42.800,57.200,57.737,42.263,60.21,224,0.875,bicubic,-51.080,-41.063,+21
gluon_xception65,42.793,57.207,58.820,41.180,39.92,299,0.903,bicubic,-51.217,-40.200,+12
tresnet_l_448,42.753,57.247,58.947,41.053,55.99,448,0.875,bilinear,-52.657,-40.463,-56
resnet50d,42.707,57.293,58.697,41.303,25.58,224,0.875,bicubic,-51.363,-40.223,+6
tresnet_m,42.687,57.313,58.153,41.847,31.39,224,0.875,bilinear,-51.383,-40.677,+6
gluon_seresnext50_32x4d,42.683,57.317,58.710,41.290,27.56,224,0.875,bicubic,-51.487,-40.200,-6
resnext101_32x8d,42.557,57.443,58.317,41.683,88.79,224,0.875,bilinear,-51.213,-40.633,+26
seresnet50,42.510,57.490,58.667,41.333,28.09,224,0.875,bicubic,-51.570,-40.303,+1
dpn98,42.280,57.720,56.880,43.120,61.57,224,0.875,bicubic,-51.660,-42.040,+10
tf_efficientnet_cc_b1_8e,42.233,57.767,58.420,41.580,39.72,240,0.882,bicubic,-51.337,-40.270,+48
legacy_senet154,42.207,57.793,56.597,43.403,115.09,224,0.875,bilinear,-52.523,-42.503,-44
tf_efficientnet_b2,42.120,57.880,58.197,41.803,9.11,260,0.890,bicubic,-52.090,-40.833,-17
gluon_resnext50_32x4d,42.043,57.957,57.667,42.333,25.03,224,0.875,bicubic,-51.607,-41.023,+34
resnet50,42.013,57.987,56.000,44.000,25.56,224,0.875,bicubic,-51.447,-42.600,+52
ecaresnet50d_pruned,41.953,58.047,58.217,41.783,19.94,224,0.875,bicubic,-51.867,-40.783,+13
efficientnet_b2a,41.933,58.067,58.300,41.700,9.11,288,1.000,bicubic,-52.437,-40.750,-31
dla102x2,41.647,58.353,57.967,42.033,41.28,224,0.875,bilinear,-52.353,-41.063,-1
hrnet_w64,41.637,58.363,57.130,42.870,128.06,224,0.875,bilinear,-52.193,-41.800,+9
efficientnet_b2,41.627,58.373,58.033,41.967,9.11,260,0.875,bicubic,-52.713,-41.067,-32
gluon_senet154,41.627,58.373,56.373,43.627,115.09,224,0.875,bicubic,-53.083,-42.597,-51
inception_v4,41.577,58.423,55.383,44.617,42.68,299,0.875,bicubic,-52.803,-43.437,-37
efficientnet_em,41.493,58.507,58.877,41.123,6.90,240,0.882,bicubic,-52.247,-40.053,+16
tf_efficientnet_cc_b0_8e,41.487,58.513,57.377,42.623,24.01,224,0.875,bicubic,-51.383,-41.083,+74
resnext50_32x4d,41.443,58.557,56.997,43.003,25.03,224,0.875,bicubic,-52.397,-41.833,+2
tv_resnet152,41.327,58.673,57.520,42.480,60.19,224,0.875,bilinear,-51.913,-41.230,+52
xception71,41.270,58.730,55.873,44.127,42.34,299,0.903,bicubic,-52.620,-43.077,-5
dpn92,41.267,58.733,56.333,43.667,37.67,224,0.875,bicubic,-52.923,-42.687,-30
adv_inception_v3,41.263,58.737,56.317,43.683,23.83,299,0.875,bicubic,-51.747,-42.173,+57
resnetblur50,41.053,58.947,57.077,42.923,25.56,224,0.875,bicubic,-52.657,-41.733,+13
gluon_resnet50_v1d,40.970,59.030,57.137,42.863,25.58,224,0.875,bicubic,-52.560,-41.573,+31
gluon_inception_v3,40.907,59.093,55.617,44.383,23.83,299,0.875,bicubic,-52.633,-43.213,+28
ese_vovnet39b,40.867,59.133,56.950,43.050,24.57,224,0.875,bicubic,-52.983,-41.950,-7
regnety_320,40.813,59.187,56.117,43.883,145.05,224,0.875,bicubic,-53.707,-43.053,-55
resnet34d,40.810,59.190,56.530,43.470,21.82,224,0.875,bicubic,-51.830,-41.890,+72
xception,40.763,59.237,56.387,43.613,22.86,299,0.897,bicubic,-52.877,-42.383,+13
skresnext50_32x4d,40.700,59.300,56.023,43.977,27.48,224,0.875,bicubic,-53.250,-42.797,-18
gluon_resnet101_v1b,40.683,59.317,56.117,43.883,44.55,224,0.875,bicubic,-53.077,-42.583,-1
hrnet_w40,40.660,59.340,56.753,43.247,57.56,224,0.875,bilinear,-53.050,-42.047,+3
tf_efficientnet_lite3,40.563,59.437,56.477,43.523,8.20,300,0.904,bilinear,-53.567,-42.483,-34
tresnet_m_448,40.530,59.470,56.700,43.300,31.39,448,0.875,bilinear,-54.130,-42.450,-66
dla169,40.493,59.507,57.263,42.737,53.39,224,0.875,bilinear,-53.307,-41.577,-11
regnetx_320,40.443,59.557,55.660,44.340,107.81,224,0.875,bicubic,-53.767,-43.390,-48
skresnet34,40.397,59.603,56.737,43.263,22.28,224,0.875,bicubic,-52.173,-41.683,+68
efficientnet_b2_pruned,40.383,59.617,56.537,43.463,8.31,260,0.890,bicubic,-53.417,-42.373,-13
wide_resnet101_2,40.360,59.640,55.780,44.220,126.89,224,0.875,bilinear,-53.370,-43.030,-6
legacy_seresnext101_32x4d,40.360,59.640,54.817,45.183,48.96,224,0.875,bilinear,-53.770,-44.153,-41
tf_efficientnet_b0_ap,40.337,59.663,56.787,43.213,5.29,224,0.875,bicubic,-52.273,-41.583,+61
xception65,40.273,59.727,55.283,44.717,39.92,299,0.903,bicubic,-53.487,-43.577,-11
regnetx_160,40.270,59.730,56.050,43.950,54.28,224,0.875,bicubic,-53.610,-43.040,-26
densenet201,40.267,59.733,56.710,43.290,20.01,224,0.875,bicubic,-52.423,-41.940,+53
resnext50d_32x4d,40.170,59.830,55.487,44.513,25.05,224,0.875,bicubic,-53.640,-43.253,-22
vit_small_patch16_224,40.130,59.870,56.543,43.457,48.75,224,0.900,bicubic,-52.470,-41.847,+57
hrnet_w48,40.093,59.907,56.640,43.360,77.47,224,0.875,bilinear,-53.937,-42.100,-41
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,+16
regnetx_080,40.000,60.000,55.977,44.023,39.57,224,0.875,bicubic,-53.790,-42.933,-24
tf_efficientnet_b1,39.977,60.023,56.137,43.863,7.79,240,0.882,bicubic,-53.733,-42.663,-14
gluon_resnet101_v1c,39.953,60.047,55.300,44.700,44.57,224,0.875,bicubic,-53.737,-43.460,-14
res2net101_26w_4s,39.717,60.283,54.550,45.450,45.21,224,0.875,bilinear,-53.803,-44.050,+3
regnetx_120,39.687,60.313,55.633,44.367,46.11,224,0.875,bicubic,-54.583,-43.557,-70
hrnet_w44,39.677,60.323,55.333,44.667,67.06,224,0.875,bilinear,-53.943,-43.627,-9
densenet161,39.620,60.380,56.133,43.867,28.68,224,0.875,bicubic,-53.280,-42.587,+33
mixnet_xl,39.617,60.383,55.887,44.113,11.90,224,0.875,bicubic,-54.613,-42.933,-70
xception41,39.610,60.390,55.037,44.963,26.97,299,0.903,bicubic,-53.870,-43.713,0
res2net50_26w_8s,39.603,60.397,54.550,45.450,48.40,224,0.875,bilinear,-53.847,-44.150,+2
tf_efficientnet_el,39.563,60.437,55.310,44.690,10.59,300,0.904,bicubic,-54.887,-43.790,-87
dla102x,39.553,60.447,56.327,43.673,26.31,224,0.875,bilinear,-53.977,-42.523,-7
rexnet_130,39.487,60.513,56.640,43.360,7.56,224,0.875,bicubic,-54.183,-42.070,-22
hrnet_w32,39.463,60.537,56.123,43.877,41.23,224,0.875,bilinear,-53.487,-42.717,+21
regnety_064,39.403,60.597,55.773,44.227,30.58,224,0.875,bicubic,-54.737,-43.257,-68
densenetblur121d,39.380,60.620,56.640,43.360,8.00,224,0.875,bicubic,-53.020,-41.770,+48
regnety_120,39.347,60.653,55.277,44.723,51.82,224,0.875,bicubic,-54.663,-43.753,-57
tv_resnet101,39.307,60.693,55.803,44.197,44.55,224,0.875,bilinear,-53.573,-42.857,+23
regnety_160,39.260,60.740,55.433,44.567,83.59,224,0.875,bicubic,-54.860,-43.587,-67
tf_inception_v3,39.240,60.760,54.300,45.700,23.83,299,0.875,bicubic,-53.960,-44.180,+3
gluon_resnet50_v1s,39.233,60.767,55.010,44.990,25.68,224,0.875,bicubic,-54.357,-43.830,-21
densenet169,39.167,60.833,55.843,44.157,14.15,224,0.875,bicubic,-53.133,-42.747,+45
legacy_seresnet101,39.037,60.963,55.003,44.997,49.33,224,0.875,bilinear,-54.223,-43.737,-5
efficientnet_b1_pruned,39.010,60.990,55.647,44.353,6.33,240,0.882,bicubic,-53.970,-42.883,+9
inception_v3,38.960,61.040,53.853,46.147,23.83,299,0.875,bicubic,-53.940,-44.957,+13
dpn68,38.933,61.067,54.933,45.067,12.61,224,0.875,bicubic,-53.307,-43.677,+43
regnety_080,38.917,61.083,55.213,44.787,39.18,224,0.875,bicubic,-54.973,-43.787,-62
legacy_seresnext50_32x4d,38.877,61.123,54.593,45.407,27.56,224,0.875,bilinear,-54.553,-44.207,-14
dla102,38.833,61.167,55.327,44.673,33.27,224,0.875,bilinear,-54.427,-43.453,-12
regnety_040,38.820,61.180,55.557,44.443,20.65,224,0.875,bicubic,-54.800,-43.393,-32
densenet121,38.783,61.217,56.273,43.727,7.98,224,0.875,bicubic,-53.157,-42.007,+44
res2net50_14w_8s,38.710,61.290,54.077,45.923,25.06,224,0.875,bilinear,-54.320,-44.623,-3
regnetx_040,38.703,61.297,55.340,44.660,22.12,224,0.875,bicubic,-54.977,-43.600,-43
res2net50_26w_6s,38.687,61.313,53.743,46.257,37.05,224,0.875,bilinear,-54.903,-45.007,-33
regnetx_032,38.680,61.320,55.157,44.843,15.30,224,0.875,bicubic,-54.570,-43.573,-15
selecsls60,38.623,61.377,55.630,44.370,30.67,224,0.875,bicubic,-54.387,-43.200,-5
dla60x,38.617,61.383,55.383,44.617,17.35,224,0.875,bilinear,-54.573,-43.327,-13
tf_efficientnet_b0,38.600,61.400,55.957,44.043,5.29,224,0.875,bicubic,-53.800,-42.513,+27
dla60_res2net,38.590,61.410,54.560,45.440,20.85,224,0.875,bilinear,-54.790,-44.300,-24
selecsls60b,38.573,61.427,55.307,44.693,32.77,224,0.875,bicubic,-54.927,-43.533,-32
dla60_res2next,38.450,61.550,54.950,45.050,17.03,224,0.875,bilinear,-55.120,-43.850,-39
regnetx_064,38.430,61.570,54.990,45.010,26.21,224,0.875,bicubic,-55.200,-44.060,-48
tf_efficientnet_cc_b0_4e,38.413,61.587,55.150,44.850,13.31,224,0.875,bicubic,-54.427,-43.290,+1
gluon_resnet50_v1b,38.407,61.593,54.833,45.167,25.56,224,0.875,bicubic,-54.153,-43.717,+14
hrnet_w18,38.277,61.723,55.643,44.357,21.30,224,0.875,bilinear,-54.483,-43.017,+2
mixnet_l,38.160,61.840,54.757,45.243,7.33,224,0.875,bicubic,-55.100,-43.943,-27
efficientnet_b1,37.843,62.157,53.640,46.360,7.79,240,0.875,bicubic,-55.217,-44.900,-20
gluon_resnet50_v1c,37.843,62.157,54.123,45.877,25.58,224,0.875,bicubic,-55.067,-44.587,-11
res2net50_26w_4s,37.827,62.173,53.073,46.927,25.70,224,0.875,bilinear,-55.353,-45.597,-24
efficientnet_es,37.770,62.230,54.967,45.033,5.44,224,0.875,bicubic,-55.140,-43.723,-14
resnest14d,37.767,62.233,56.470,43.530,10.61,224,0.875,bilinear,-53.363,-41.860,+45
tv_resnext50_32x4d,37.750,62.250,54.113,45.887,25.03,224,0.875,bilinear,-55.150,-44.217,-13
res2next50,37.477,62.523,52.853,47.147,24.67,224,0.875,bilinear,-55.673,-45.807,-27
resnet34,37.443,62.557,54.297,45.703,21.80,224,0.875,bilinear,-53.757,-43.943,+39
tf_efficientnet_em,37.283,62.717,54.220,45.780,6.90,240,0.882,bicubic,-56.187,-44.530,-45
res2net50_48w_2s,37.117,62.883,53.333,46.667,25.29,224,0.875,bilinear,-55.673,-45.137,-10
dla60,37.073,62.927,54.200,45.800,22.04,224,0.875,bilinear,-55.597,-44.430,-8
rexnet_100,37.063,62.937,54.020,45.980,4.80,224,0.875,bicubic,-55.787,-44.600,-15
regnety_016,37.017,62.983,54.093,45.907,11.20,224,0.875,bicubic,-55.983,-44.587,-27
tf_mixnet_l,36.987,63.013,52.583,47.417,7.33,224,0.875,bicubic,-56.053,-45.957,-32
legacy_seresnet50,36.873,63.127,53.487,46.513,28.09,224,0.875,bilinear,-55.797,-45.163,-11
tv_densenet121,36.810,63.190,54.033,45.967,7.98,224,0.875,bicubic,-54.590,-44.217,+24
tf_efficientnet_lite2,36.807,63.193,53.320,46.680,6.09,260,0.890,bicubic,-55.783,-45.230,-8
mobilenetv2_120d,36.780,63.220,54.047,45.953,5.83,224,0.875,bicubic,-55.830,-44.463,-12
tf_efficientnet_lite1,36.737,63.263,53.590,46.410,5.42,240,0.882,bicubic,-55.573,-44.900,+1
regnetx_016,36.683,63.317,53.297,46.703,9.19,224,0.875,bicubic,-55.857,-45.253,-6
efficientnet_b0,36.600,63.400,53.497,46.503,5.29,224,0.875,bicubic,-55.880,-45.183,-6
skresnet18,36.320,63.680,54.197,45.803,11.96,224,0.875,bicubic,-53.840,-43.583,+37
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
tv_resnet34,36.087,63.913,53.533,46.467,21.80,224,0.875,bilinear,-54.203,-44.447,+33
mobilenetv2_140,36.000,64.000,53.943,46.057,6.11,224,0.875,bicubic,-56.030,-44.307,+1
tf_efficientnet_lite0,35.930,64.070,53.480,46.520,4.65,224,0.875,bicubic,-55.370,-44.610,+15
selecsls42b,35.813,64.187,52.487,47.513,32.46,224,0.875,bicubic,-56.667,-45.953,-12
gluon_resnet34_v1b,35.763,64.237,52.187,47.813,21.80,224,0.875,bicubic,-55.337,-45.993,+22
dla34,35.643,64.357,52.783,47.217,15.74,224,0.875,bilinear,-55.597,-45.397,+15
mixnet_m,35.640,64.360,52.430,47.570,5.01,224,0.875,bicubic,-56.630,-45.920,-9
efficientnet_lite0,35.620,64.380,53.657,46.343,4.65,224,0.875,bicubic,-55.640,-44.593,+12
ssl_resnet18,35.597,64.403,53.740,46.260,11.69,224,0.875,bilinear,-55.103,-44.280,+22
tf_efficientnet_es,35.563,64.437,52.790,47.210,5.44,224,0.875,bicubic,-56.987,-45.720,-21
mobilenetv3_rw,35.547,64.453,53.713,46.287,5.48,224,0.875,bicubic,-56.003,-44.557,0
mobilenetv2_110d,35.293,64.707,52.830,47.170,4.52,224,0.875,bicubic,-56.057,-45.360,+5
tf_mixnet_m,35.180,64.820,50.987,49.013,5.01,224,0.875,bicubic,-57.020,-47.433,-12
hrnet_w18_small_v2,35.173,64.827,52.440,47.560,15.60,224,0.875,bilinear,-55.997,-45.900,+11
resnet18d,35.127,64.873,52.890,47.110,11.71,224,0.875,bicubic,-54.863,-44.940,+21
ese_vovnet19b_dw,34.840,65.160,52.030,47.970,6.54,224,0.875,bicubic,-57.170,-46.480,-12
regnety_008,34.807,65.193,51.743,48.257,6.26,224,0.875,bicubic,-57.093,-46.677,-11
mobilenetv3_large_100,34.603,65.397,52.860,47.140,5.48,224,0.875,bicubic,-56.877,-45.460,-5
seresnext26d_32x4d,34.543,65.457,51.543,48.457,16.81,224,0.875,bicubic,-57.897,-46.997,-26
seresnext26tn_32x4d,34.540,65.460,51.377,48.623,16.81,224,0.875,bicubic,-58.280,-47.183,-45
resnet26d,34.273,65.727,51.687,48.313,16.01,224,0.875,bicubic,-57.957,-46.763,-21
fbnetc_100,34.253,65.747,51.180,48.820,5.57,224,0.875,bilinear,-57.017,-46.650,-3
seresnext26t_32x4d,34.210,65.790,51.460,48.540,16.82,224,0.875,bicubic,-58.750,-47.020,-59
regnety_006,34.150,65.850,51.277,48.723,6.06,224,0.875,bicubic,-57.420,-47.153,-14
tf_mobilenetv3_large_100,33.950,66.050,51.490,48.510,5.48,224,0.875,bilinear,-57.470,-46.770,-10
regnetx_008,33.770,66.230,50.547,49.453,7.26,224,0.875,bicubic,-57.410,-47.833,-2
mnasnet_100,33.763,66.237,51.170,48.830,4.38,224,0.875,bicubic,-57.437,-46.880,-5
semnasnet_100,33.520,66.480,50.787,49.213,3.89,224,0.875,bicubic,-58.140,-47.483,-19
resnet26,33.500,66.500,50.927,49.073,16.00,224,0.875,bicubic,-57.940,-47.353,-15
mixnet_s,33.480,66.520,50.997,49.003,4.13,224,0.875,bicubic,-58.300,-47.303,-23
spnasnet_100,33.477,66.523,51.267,48.733,4.42,224,0.875,bilinear,-57.133,-46.683,+1
regnetx_006,33.157,66.843,50.250,49.750,6.20,224,0.875,bicubic,-57.603,-47.850,-2
resnet18,33.067,66.933,51.170,48.830,11.69,224,0.875,bilinear,-55.083,-45.950,+11
legacy_seresnext26_32x4d,32.757,67.243,49.237,50.763,16.79,224,0.875,bicubic,-59.813,-49.283,-47
hrnet_w18_small,32.667,67.333,50.587,49.413,13.19,224,0.875,bilinear,-57.213,-47.313,+2
legacy_seresnet18,32.600,67.400,50.340,49.660,11.78,224,0.875,bicubic,-56.670,-47.340,+4
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,+1
gluon_resnet18_v1b,32.407,67.593,49.727,50.273,11.69,224,0.875,bicubic,-56.253,-47.373,+3
regnety_004,32.333,67.667,49.453,50.547,4.34,224,0.875,bicubic,-58.447,-48.627,-11
tf_mixnet_s,32.183,67.817,48.493,51.507,4.13,224,0.875,bicubic,-59.497,-49.747,-33
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
regnety_002,29.687,70.313,46.787,53.213,3.16,224,0.875,bicubic,-58.513,-50.643,-1
regnetx_002,28.860,71.140,45.420,54.580,2.68,224,0.875,bicubic,-58.520,-51.570,0
dla60x_c,28.447,71.553,46.193,53.807,1.32,224,0.875,bilinear,-58.663,-50.947,0
tf_mobilenetv3_small_100,27.297,72.703,44.420,55.580,2.54,224,0.875,bilinear,-58.663,-51.980,0
dla46x_c,26.217,73.783,43.780,56.220,1.07,224,0.875,bilinear,-59.263,-52.660,0
tf_mobilenetv3_small_075,26.200,73.800,43.637,56.363,2.04,224,0.875,bilinear,-58.330,-52.253,+1
dla46_c,25.490,74.510,43.800,56.200,1.30,224,0.875,bilinear,-59.170,-52.400,-1
tf_mobilenetv3_small_minimal_100,25.087,74.913,42.930,57.070,2.04,224,0.875,bilinear,-57.583,-52.070,0
ig_resnext101_32x48d,79.730,20.270,89.517,10.483,828.41,224,0.875,bilinear,-17.480,-10.183,+2
ig_resnext101_32x32d,79.520,20.480,89.227,10.773,468.53,224,0.875,bilinear,-17.360,-10.433,+4
ig_resnext101_32x16d,78.830,21.170,88.463,11.537,194.03,224,0.875,bilinear,-17.660,-11.157,+10
tf_efficientnet_l2_ns_475,76.367,23.633,88.540,11.460,480.31,475,0.936,bicubic,-19.573,-10.860,-4
swsl_resnext101_32x16d,76.220,23.780,87.747,12.253,194.03,224,0.875,bilinear,-20.060,-11.773,+15
ig_resnext101_32x8d,75.897,24.103,86.253,13.747,88.79,224,0.875,bilinear,-20.083,-13.197,+25
swsl_resnext101_32x8d,75.590,24.410,87.043,12.957,88.79,224,0.875,bilinear,-20.680,-12.457,+14
tf_efficientnet_l2_ns,74.623,25.377,87.497,12.503,480.31,800,0.960,bicubic,-21.707,-12.013,-9
swsl_resnext101_32x4d,72.700,27.300,85.193,14.807,44.18,224,0.875,bilinear,-23.380,-14.347,+20
swsl_resnext50_32x4d,69.103,30.897,82.880,17.120,25.03,224,0.875,bilinear,-26.507,-16.560,+26
swsl_resnet50,68.357,31.643,83.383,16.617,25.56,224,0.875,bilinear,-26.863,-15.857,+40
tf_efficientnet_b7_ns,67.040,32.960,81.090,18.910,66.35,600,0.949,bicubic,-30.730,-18.800,-11
tf_efficientnet_b6_ns,65.460,34.540,79.447,20.553,43.04,528,0.942,bicubic,-32.290,-20.373,-11
tf_efficientnet_b5_ns,62.890,37.110,77.720,22.280,30.39,456,0.934,bicubic,-34.070,-21.950,-9
tf_efficientnet_b4_ns,61.087,38.913,76.060,23.940,19.34,380,0.922,bicubic,-35.793,-23.580,-8
tf_efficientnet_b8_ap,57.870,42.130,72.940,27.060,87.41,672,0.954,bicubic,-38.830,-26.610,-6
tf_efficientnet_b3_ns,57.323,42.677,72.387,27.613,12.23,300,0.904,bicubic,-38.787,-27.073,+9
vit_large_patch16_384,54.803,45.197,70.107,29.893,304.72,384,1.000,bicubic,-41.627,-29.433,-3
vit_base_resnet50_384,54.333,45.667,69.503,30.497,98.95,384,1.000,bicubic,-42.227,-30.047,-7
resnetv2_152x4_bitm,54.170,45.830,70.257,29.743,936.53,480,1.000,bilinear,-42.860,-29.453,-16
tf_efficientnet_b5_ap,53.920,46.080,69.190,30.810,30.39,456,0.934,bicubic,-42.160,-30.280,+7
tf_efficientnet_b6_ap,53.563,46.437,68.580,31.420,43.04,528,0.942,bicubic,-42.817,-31.020,-6
tf_efficientnet_b2_ns,53.507,46.493,70.393,29.607,9.11,260,0.890,bicubic,-42.023,-28.947,+16
tf_efficientnet_b7_ap,53.320,46.680,68.900,31.100,66.35,600,0.949,bicubic,-43.040,-30.650,-7
tf_efficientnet_b8,53.203,46.797,68.957,31.043,87.41,672,0.954,bicubic,-43.577,-30.573,-17
tf_efficientnet_b4_ap,53.073,46.927,68.230,31.770,19.34,380,0.922,bicubic,-42.427,-31.160,+16
tf_efficientnet_b7,52.303,47.697,68.227,31.773,66.35,600,0.949,bicubic,-44.407,-31.413,-18
swsl_resnet18,52.243,47.757,70.503,29.497,11.69,224,0.875,bilinear,-38.847,-27.707,+220
vit_base_patch16_384,51.037,48.963,65.390,34.610,86.86,384,1.000,bicubic,-45.133,-34.230,-6
resnetv2_152x2_bitm,50.950,49.050,68.580,31.420,236.34,480,1.000,bilinear,-45.630,-30.930,-19
vit_large_patch16_224,50.937,49.063,66.340,33.660,304.33,224,0.900,bicubic,-44.353,-32.970,+16
tf_efficientnet_b1_ns,50.770,49.230,67.960,32.040,7.79,240,0.882,bicubic,-44.110,-31.290,+30
ssl_resnext101_32x16d,50.227,49.773,66.093,33.907,194.03,224,0.875,bilinear,-45.173,-33.317,+11
seresnet152d,50.183,49.817,65.123,34.877,66.84,256,0.940,bicubic,-45.757,-34.267,+33
resnest269e,50.133,49.867,64.713,35.287,110.93,416,0.928,bicubic,-46.037,-34.807,-10
tf_efficientnet_b3_ap,50.093,49.907,65.277,34.723,12.23,300,0.904,bicubic,-44.867,-33.833,+24
resnet200d,49.850,50.150,64.730,35.270,64.69,256,0.940,bicubic,-45.850,-34.610,-1
resnest200e,49.807,50.193,64.780,35.220,70.20,320,0.909,bicubic,-46.303,-34.690,-10
resnetv2_101x3_bitm,49.683,50.317,67.137,32.863,387.93,480,1.000,bilinear,-46.787,-32.523,-24
resnet152d,49.637,50.363,64.740,35.260,60.21,256,0.940,bicubic,-45.833,-34.560,+4
tf_efficientnet_b5,49.497,50.503,65.597,34.403,30.39,456,0.934,bicubic,-46.563,-33.943,-10
resnet200d_320,49.437,50.563,64.300,35.700,64.69,320,1.000,bicubic,-46.683,-35.220,-16
resnest101e,49.380,50.620,65.527,34.473,48.28,256,0.875,bilinear,-46.210,-33.743,-5
resnet152d_320,49.267,50.733,64.427,35.573,60.21,320,1.000,bicubic,-46.583,-35.003,-10
seresnet152d_320,49.220,50.780,64.273,35.727,66.84,320,1.000,bicubic,-47.140,-35.357,+18
ssl_resnext101_32x8d,49.140,50.860,65.507,34.493,88.79,224,0.875,bilinear,-46.190,-33.813,+2
efficientnet_b3a,48.573,51.427,64.343,35.657,12.23,320,1.000,bicubic,-46.577,-34.867,+10
ecaresnet101d,48.473,51.527,64.087,35.913,44.57,224,0.875,bicubic,-46.687,-35.143,+7
efficientnet_b3,48.227,51.773,64.183,35.817,12.23,300,0.904,bicubic,-46.743,-35.057,+11
resnest50d_4s2x40d,47.500,52.500,63.867,36.133,30.42,224,0.875,bicubic,-47.210,-35.263,+19
efficientnet_b3_pruned,47.463,52.537,62.850,37.150,9.86,300,0.904,bicubic,-47.117,-36.220,+26
vit_base_patch16_224,47.413,52.587,61.683,38.317,86.57,224,0.900,bicubic,-47.807,-37.717,0
resnet101d,47.227,52.773,62.793,37.207,44.57,256,0.940,bicubic,-48.053,-36.467,-3
ssl_resnext101_32x4d,47.177,52.823,63.397,36.603,44.18,224,0.875,bilinear,-47.983,-35.903,+2
tf_efficientnet_b6,47.153,52.847,63.057,36.943,43.04,528,0.942,bicubic,-49.197,-36.543,-34
tf_efficientnet_b4,47.040,52.960,62.903,37.097,19.34,380,0.922,bicubic,-48.550,-36.417,-16
resnet101d_320,46.907,53.093,62.360,37.640,44.57,320,1.000,bicubic,-48.843,-37.080,-21
resnetv2_50x3_bitm,46.857,53.143,64.907,35.093,217.32,480,1.000,bilinear,-49.363,-34.683,-34
gluon_seresnext101_64x4d,46.690,53.310,61.357,38.643,88.23,224,0.875,bicubic,-47.940,-37.613,+16
regnety_032,46.643,53.357,62.210,37.790,19.44,224,0.875,bicubic,-48.427,-37.000,-2
tresnet_xl,46.280,53.720,61.903,38.097,78.44,224,0.875,bilinear,-48.790,-37.347,-2
resnest50d_1s4x24d,46.130,53.870,62.480,37.520,25.68,224,0.875,bicubic,-48.260,-36.580,+22
tf_efficientnet_b0_ns,46.047,53.953,63.280,36.720,5.29,224,0.875,bicubic,-47.713,-35.700,+71
resnest50d,45.883,54.117,62.673,37.327,27.48,224,0.875,bilinear,-48.737,-36.357,+12
gluon_seresnext101_32x4d,45.517,54.483,61.150,38.850,48.96,224,0.875,bicubic,-48.913,-37.940,+18
gluon_resnet152_v1d,45.423,54.577,60.097,39.903,60.21,224,0.875,bicubic,-49.027,-38.903,+15
ssl_resnext50_32x4d,45.370,54.630,61.983,38.017,25.03,224,0.875,bilinear,-49.330,-37.067,+3
nasnetalarge,45.200,54.800,57.960,42.040,88.75,331,0.911,bicubic,-49.970,-41.170,-14
tresnet_xl_448,45.157,54.843,61.440,38.560,78.44,448,0.875,bilinear,-50.363,-37.900,-27
tf_efficientnet_b3,45.103,54.897,60.680,39.320,12.23,300,0.904,bicubic,-49.807,-38.420,-8
rexnet_200,45.070,54.930,62.223,37.777,16.37,224,0.875,bicubic,-49.600,-36.867,+1
ecaresnetlight,44.910,55.090,60.770,39.230,30.16,224,0.875,bicubic,-49.230,-38.180,+29
vit_base_patch32_384,44.793,55.207,58.577,41.423,88.30,384,1.000,bicubic,-50.457,-40.603,-22
tf_efficientnet_b2_ap,44.740,55.260,60.700,39.300,9.11,260,0.890,bicubic,-49.530,-38.250,+17
tresnet_l,44.357,55.643,59.953,40.047,55.99,224,0.875,bilinear,-50.543,-39.077,-12
gluon_resnext101_32x4d,44.330,55.670,59.097,40.903,44.18,224,0.875,bicubic,-49.790,-39.833,+27
cspresnext50,44.167,55.833,60.447,39.553,20.57,224,0.875,bilinear,-49.583,-38.393,+58
wide_resnet50_2,44.167,55.833,59.680,40.320,68.88,224,0.875,bicubic,-50.493,-39.370,-4
gluon_resnet152_v1s,44.083,55.917,58.740,41.260,60.32,224,0.875,bicubic,-50.617,-40.500,-8
seresnext50_32x4d,44.077,55.923,59.427,40.573,27.56,224,0.875,bicubic,-50.733,-39.703,-14
gluon_resnext101_64x4d,43.893,56.107,58.713,41.287,83.46,224,0.875,bicubic,-50.437,-40.167,+6
ssl_resnet50,43.887,56.113,61.933,38.067,25.56,224,0.875,bilinear,-50.433,-37.227,+6
ecaresnet101d_pruned,43.787,56.213,59.650,40.350,24.88,224,0.875,bicubic,-50.653,-39.450,-1
ecaresnet50d,43.700,56.300,60.380,39.620,25.58,224,0.875,bicubic,-50.500,-38.640,+10
rexnet_150,43.580,56.420,60.840,39.160,9.73,224,0.875,bicubic,-50.700,-38.250,+5
gluon_resnet101_v1d,43.420,56.580,58.560,41.440,44.57,224,0.875,bicubic,-50.740,-40.390,+14
gluon_resnet101_v1s,43.407,56.593,58.700,41.300,44.67,224,0.875,bicubic,-50.773,-40.210,+11
cspdarknet53,43.340,56.660,59.483,40.517,27.64,256,0.887,bilinear,-50.760,-39.497,+18
dpn68b,43.263,56.737,58.607,41.393,12.61,224,0.875,bicubic,-50.337,-40.103,+62
cspresnet50,43.130,56.870,59.213,40.787,21.62,256,0.887,bilinear,-50.720,-39.687,+33
resnest26d,43.110,56.890,60.590,39.410,17.07,224,0.875,bilinear,-50.150,-38.250,+82
resnetv2_101x1_bitm,43.043,56.957,60.910,39.090,44.54,480,1.000,bilinear,-52.457,-38.600,-49
dpn131,43.020,56.980,57.430,42.570,79.25,224,0.875,bicubic,-50.740,-41.380,+40
gluon_resnet152_v1b,42.980,57.020,57.730,42.270,60.19,224,0.875,bicubic,-51.040,-41.300,+19
dpn107,42.890,57.110,57.527,42.473,86.92,224,0.875,bicubic,-51.070,-41.323,+20
tf_efficientnet_lite4,42.850,57.150,57.710,42.290,13.01,380,0.920,bilinear,-52.020,-41.380,-31
gluon_resnet152_v1c,42.840,57.160,57.797,42.203,60.21,224,0.875,bicubic,-51.030,-41.003,+24
tf_efficientnet_b1_ap,42.827,57.173,58.850,41.150,7.79,240,0.882,bicubic,-50.813,-39.930,+50
tresnet_l_448,42.787,57.213,58.940,41.060,55.99,448,0.875,bilinear,-52.613,-40.340,-52
gluon_xception65,42.730,57.270,58.870,41.130,39.92,299,0.903,bicubic,-51.300,-40.160,+11
resnet50d,42.700,57.300,58.770,41.230,25.58,224,0.875,bicubic,-51.370,-40.150,+8
tresnet_m,42.690,57.310,58.213,41.787,31.39,224,0.875,bilinear,-51.390,-40.617,+6
gluon_seresnext50_32x4d,42.687,57.313,58.717,41.283,27.56,224,0.875,bicubic,-51.493,-40.303,-6
resnext101_32x8d,42.573,57.427,58.357,41.643,88.79,224,0.875,bilinear,-51.197,-40.593,+28
seresnet50,42.493,57.507,58.770,41.230,28.09,224,0.875,bicubic,-51.587,-40.200,+2
legacy_senet154,42.290,57.710,56.563,43.437,115.09,224,0.875,bilinear,-52.440,-42.537,-39
dpn98,42.277,57.723,56.933,43.067,61.57,224,0.875,bicubic,-51.673,-41.987,+9
tf_efficientnet_cc_b1_8e,42.277,57.723,58.523,41.477,39.72,240,0.882,bicubic,-51.303,-40.167,+46
tf_efficientnet_b2,42.197,57.803,58.207,41.793,9.11,260,0.890,bicubic,-52.003,-40.823,-13
gluon_resnext50_32x4d,42.107,57.893,57.683,42.317,25.03,224,0.875,bicubic,-51.563,-41.017,+34
resnet50,42.043,57.957,56.093,43.907,25.56,224,0.875,bicubic,-51.437,-42.667,+51
ecaresnet50d_pruned,42.000,58.000,58.330,41.670,19.94,224,0.875,bicubic,-51.820,-40.670,+14
efficientnet_b2a,41.940,58.060,58.303,41.697,9.11,288,1.000,bicubic,-52.430,-40.747,-28
gluon_senet154,41.700,58.300,56.477,43.523,115.09,224,0.875,bicubic,-53.010,-42.493,-46
dla102x2,41.670,58.330,58.033,41.967,41.28,224,0.875,bilinear,-52.350,-40.707,-1
efficientnet_b2,41.660,58.340,58.057,41.943,9.11,260,0.875,bicubic,-52.680,-41.043,-30
hrnet_w64,41.623,58.377,57.177,42.823,128.06,224,0.875,bilinear,-52.227,-41.743,+7
tf_efficientnet_cc_b0_8e,41.533,58.467,57.393,42.607,24.01,224,0.875,bicubic,-51.327,-41.067,+76
efficientnet_em,41.477,58.523,58.877,41.123,6.90,240,0.882,bicubic,-52.273,-40.043,+17
resnext50_32x4d,41.367,58.633,56.950,43.050,25.03,224,0.875,bicubic,-52.483,-41.880,+5
tv_resnet152,41.317,58.683,57.587,42.413,60.19,224,0.875,bilinear,-51.933,-41.163,+53
xception71,41.297,58.703,55.940,44.060,42.34,299,0.903,bicubic,-52.603,-43.010,-3
dpn92,41.257,58.743,56.327,43.673,37.67,224,0.875,bicubic,-52.943,-42.603,-30
adv_inception_v3,41.220,58.780,56.360,43.640,23.83,299,0.875,bicubic,-51.770,-42.120,+60
resnetblur50,41.077,58.923,57.080,42.920,25.56,224,0.875,bicubic,-52.633,-41.720,+16
gluon_resnet50_v1d,41.010,58.990,57.147,42.853,25.58,224,0.875,bicubic,-52.540,-41.563,+31
ese_vovnet39b,40.887,59.113,57.020,42.980,24.57,224,0.875,bicubic,-52.963,-41.860,-5
gluon_inception_v3,40.880,59.120,55.670,44.330,23.83,299,0.875,bicubic,-52.710,-43.170,+24
resnet34d,40.853,59.147,56.523,43.477,21.82,224,0.875,bicubic,-51.787,-41.917,+74
regnety_320,40.837,59.163,56.180,43.820,145.05,224,0.875,bicubic,-53.663,-42.990,-51
xception,40.793,59.207,56.510,43.490,22.86,299,0.897,bicubic,-52.857,-42.280,+16
gluon_resnet101_v1b,40.707,59.293,56.180,43.820,44.55,224,0.875,bicubic,-53.063,-42.530,-1
skresnext50_32x4d,40.700,59.300,56.013,43.987,27.48,224,0.875,bicubic,-53.250,-42.807,-16
hrnet_w40,40.663,59.337,56.863,43.137,57.56,224,0.875,bilinear,-53.047,-41.937,+6
tf_efficientnet_lite3,40.613,59.387,56.567,43.433,8.20,300,0.904,bilinear,-53.507,-42.393,-31
regnetx_320,40.533,59.467,55.663,44.337,107.81,224,0.875,bicubic,-53.667,-43.387,-41
dla169,40.513,59.487,57.317,42.683,53.39,224,0.875,bilinear,-53.267,-41.523,-7
tresnet_m_448,40.510,59.490,56.667,43.333,31.39,448,0.875,bilinear,-54.160,-42.503,-65
wide_resnet101_2,40.467,59.533,55.873,44.127,126.89,224,0.875,bilinear,-53.263,-42.937,-1
efficientnet_b2_pruned,40.460,59.540,56.607,43.393,8.31,260,0.890,bicubic,-53.340,-42.113,-12
skresnet34,40.377,59.623,56.797,43.203,22.28,224,0.875,bicubic,-52.183,-41.753,+68
tf_efficientnet_b0_ap,40.363,59.637,56.830,43.170,5.29,224,0.875,bicubic,-52.237,-41.540,+64
regnetx_160,40.350,59.650,56.090,43.910,54.28,224,0.875,bicubic,-53.540,-42.990,-23
legacy_seresnext101_32x4d,40.323,59.677,54.843,45.157,48.96,224,0.875,bilinear,-53.847,-44.127,-45
xception65,40.317,59.683,55.270,44.730,39.92,299,0.903,bicubic,-53.433,-43.600,-8
densenet201,40.300,59.700,56.763,43.237,20.01,224,0.875,bicubic,-52.390,-41.867,+55
hrnet_w48,40.157,59.843,56.597,43.403,77.47,224,0.875,bilinear,-53.873,-42.433,-35
resnext50d_32x4d,40.153,59.847,55.587,44.413,25.05,224,0.875,bicubic,-53.647,-43.323,-21
legacy_seresnet152,40.060,59.940,55.887,44.113,66.82,224,0.875,bilinear,-53.400,-42.963,+15
tf_efficientnet_b1,40.043,59.957,56.213,43.787,7.79,240,0.882,bicubic,-53.667,-42.587,-11
vit_small_patch16_224,40.043,59.957,56.507,43.493,48.75,224,0.900,bicubic,-52.567,-41.883,+54
hrnet_w30,40.010,59.990,57.107,42.893,37.71,224,0.875,bilinear,-53.380,-41.723,+16
regnetx_080,39.977,60.023,56.063,43.937,39.57,224,0.875,bicubic,-53.813,-42.847,-24
gluon_resnet101_v1c,39.957,60.043,55.253,44.747,44.57,224,0.875,bicubic,-53.703,-43.507,-9
res2net101_26w_4s,39.720,60.280,54.610,45.390,45.21,224,0.875,bilinear,-53.800,-44.020,+3
regnetx_120,39.710,60.290,55.687,44.313,46.11,224,0.875,bicubic,-54.590,-43.513,-67
res2net50_26w_8s,39.680,60.320,54.543,45.457,48.40,224,0.875,bilinear,-53.770,-44.167,+8
hrnet_w44,39.667,60.333,55.317,44.683,67.06,224,0.875,bilinear,-53.963,-43.633,-9
xception41,39.657,60.343,54.983,45.017,26.97,299,0.903,bicubic,-53.823,-43.607,+1
tf_efficientnet_el,39.603,60.397,55.337,44.663,10.59,300,0.904,bicubic,-54.867,-43.743,-80
dla102x,39.590,60.410,56.343,43.657,26.31,224,0.875,bilinear,-53.920,-42.507,-2
densenet161,39.587,60.413,56.180,43.820,28.68,224,0.875,bicubic,-53.293,-42.480,+31
mixnet_xl,39.550,60.450,55.837,44.163,11.90,224,0.875,bicubic,-54.670,-42.983,-71
hrnet_w32,39.523,60.477,56.263,43.737,41.23,224,0.875,bilinear,-53.427,-42.577,+23
rexnet_130,39.477,60.523,56.640,43.360,7.56,224,0.875,bicubic,-54.203,-42.310,-23
regnety_064,39.397,60.603,55.807,44.193,30.58,224,0.875,bicubic,-54.743,-43.223,-64
regnety_120,39.367,60.633,55.343,44.657,51.82,224,0.875,bicubic,-54.693,-43.677,-57
tf_inception_v3,39.350,60.650,54.373,45.627,23.83,299,0.875,bicubic,-53.860,-44.347,+7
densenetblur121d,39.317,60.683,56.643,43.357,8.00,224,0.875,bicubic,-53.083,-41.777,+47
tv_resnet101,39.300,60.700,55.850,44.150,44.55,224,0.875,bilinear,-53.580,-42.960,+22
gluon_resnet50_v1s,39.290,60.710,55.103,44.897,25.68,224,0.875,bicubic,-54.300,-43.727,-18
regnety_160,39.273,60.727,55.387,44.613,83.59,224,0.875,bicubic,-54.837,-43.623,-67
densenet169,39.177,60.823,55.850,44.150,14.15,224,0.875,bicubic,-53.123,-42.740,+46
legacy_seresnet101,39.127,60.873,55.103,44.897,49.33,224,0.875,bilinear,-54.153,-43.647,-4
regnety_080,38.977,61.023,55.187,44.813,39.18,224,0.875,bicubic,-54.923,-43.803,-57
dpn68,38.973,61.027,54.977,45.023,12.61,224,0.875,bicubic,-53.277,-43.623,+45
efficientnet_b1_pruned,38.967,61.033,55.620,44.380,6.33,240,0.882,bicubic,-54.003,-42.900,+9
inception_v3,38.960,61.040,53.850,46.150,23.83,299,0.875,bicubic,-53.940,-44.470,+13
legacy_seresnext50_32x4d,38.890,61.110,54.650,45.350,27.56,224,0.875,bilinear,-54.510,-44.150,-13
dla102,38.887,61.113,55.337,44.663,33.27,224,0.875,bilinear,-54.413,-43.443,-11
regnety_040,38.830,61.170,55.600,44.400,20.65,224,0.875,bicubic,-54.780,-43.360,-31
regnetx_040,38.807,61.193,55.490,44.510,22.12,224,0.875,bicubic,-54.873,-43.230,-39
regnetx_032,38.763,61.237,55.147,44.853,15.30,224,0.875,bicubic,-54.507,-43.593,-11
densenet121,38.753,61.247,56.247,43.753,7.98,224,0.875,bicubic,-53.187,-42.033,+43
res2net50_14w_8s,38.720,61.280,54.203,45.797,25.06,224,0.875,bilinear,-54.290,-44.497,-3
dla60_res2net,38.687,61.313,54.620,45.380,20.85,224,0.875,bilinear,-54.703,-44.220,-19
res2net50_26w_6s,38.653,61.347,53.810,46.190,37.05,224,0.875,bilinear,-54.917,-44.940,-32
selecsls60,38.627,61.373,55.697,44.303,30.67,224,0.875,bicubic,-54.383,-43.133,-5
dla60x,38.610,61.390,55.490,44.510,17.35,224,0.875,bilinear,-54.600,-42.990,-13
selecsls60b,38.583,61.417,55.333,44.667,32.77,224,0.875,bicubic,-54.897,-43.507,-29
tf_efficientnet_b0,38.540,61.460,56.077,43.923,5.29,224,0.875,bicubic,-53.860,-42.393,+26
dla60_res2next,38.530,61.470,55.007,44.993,17.03,224,0.875,bilinear,-55.030,-43.793,-36
regnetx_064,38.507,61.493,55.030,44.970,26.21,224,0.875,bicubic,-55.143,-44.020,-47
gluon_resnet50_v1b,38.457,61.543,54.907,45.093,25.56,224,0.875,bicubic,-54.093,-43.643,+17
tf_efficientnet_cc_b0_4e,38.423,61.577,55.203,44.797,13.31,224,0.875,bicubic,-54.417,-43.237,+1
hrnet_w18,38.387,61.613,55.757,44.243,21.30,224,0.875,bilinear,-54.373,-42.893,+3
resnetv2_50x1_bitm,38.300,61.700,57.023,42.977,25.55,480,1.000,bilinear,-56.230,-42.217,-119
mixnet_l,38.230,61.770,54.847,45.153,7.33,224,0.875,bicubic,-55.050,-43.863,-27
gluon_resnet50_v1c,37.867,62.133,54.150,45.850,25.58,224,0.875,bicubic,-55.043,-44.560,-10
efficientnet_b1,37.857,62.143,53.743,46.257,7.79,240,0.875,bicubic,-55.203,-44.787,-21
efficientnet_es,37.837,62.163,54.980,45.020,5.44,224,0.875,bicubic,-55.093,-43.700,-13
res2net50_26w_4s,37.823,62.177,53.097,46.903,25.70,224,0.875,bilinear,-55.357,-45.573,-25
resnest14d,37.790,62.210,56.580,43.420,10.61,224,0.875,bilinear,-53.350,-41.770,+45
tv_resnext50_32x4d,37.790,62.210,54.153,45.847,25.03,224,0.875,bilinear,-55.120,-44.577,-14
res2next50,37.537,62.463,52.863,47.137,24.67,224,0.875,bilinear,-55.593,-45.797,-27
resnet34,37.490,62.510,54.327,45.673,21.80,224,0.875,bilinear,-53.700,-43.903,+40
tf_efficientnet_em,37.313,62.687,54.230,45.770,6.90,240,0.882,bicubic,-56.157,-44.520,-44
regnety_016,37.147,62.853,54.150,45.850,11.20,224,0.875,bicubic,-55.883,-44.540,-27
res2net50_48w_2s,37.137,62.863,53.410,46.590,25.29,224,0.875,bilinear,-55.663,-45.050,-12
dla60,37.117,62.883,54.293,45.707,22.04,224,0.875,bilinear,-55.573,-44.367,-10
rexnet_100,37.063,62.937,54.070,45.930,4.80,224,0.875,bicubic,-55.787,-44.550,-16
tf_mixnet_l,37.047,62.953,52.710,47.290,7.33,224,0.875,bicubic,-56.003,-45.830,-32
legacy_seresnet50,36.933,63.067,53.520,46.480,28.09,224,0.875,bilinear,-55.737,-45.140,-11
tf_efficientnet_lite2,36.887,63.113,53.360,46.640,6.09,260,0.890,bicubic,-55.693,-45.190,-6
regnetx_016,36.767,63.233,53.287,46.713,9.19,224,0.875,bicubic,-55.793,-45.223,-5
tv_densenet121,36.753,63.247,54.003,45.997,7.98,224,0.875,bicubic,-54.637,-44.247,+22
mobilenetv2_120d,36.710,63.290,53.953,46.047,5.83,224,0.875,bicubic,-55.900,-44.567,-13
tf_efficientnet_lite1,36.667,63.333,53.687,46.313,5.42,240,0.882,bicubic,-55.653,-44.803,0
efficientnet_b0,36.613,63.387,53.493,46.507,5.29,224,0.875,bicubic,-55.857,-45.187,-5
skresnet18,36.343,63.657,54.257,45.743,11.96,224,0.875,bicubic,-53.817,-43.523,+37
legacy_seresnet34,36.150,63.850,52.543,47.457,21.96,224,0.875,bilinear,-55.320,-45.657,+14
tv_resnet50,36.143,63.857,52.873,47.127,25.56,224,0.875,bilinear,-55.987,-45.547,+2
tv_resnet34,36.060,63.940,53.527,46.473,21.80,224,0.875,bilinear,-54.250,-44.443,+33
tf_efficientnet_lite0,36.020,63.980,53.530,46.470,4.65,224,0.875,bicubic,-55.260,-44.560,+16
mobilenetv2_140,35.980,64.020,53.927,46.073,6.11,224,0.875,bicubic,-56.060,-44.323,0
selecsls42b,35.830,64.170,52.550,47.450,32.46,224,0.875,bicubic,-56.650,-45.890,-13
gluon_resnet34_v1b,35.747,64.253,52.290,47.710,21.80,224,0.875,bicubic,-55.343,-45.890,+22
mixnet_m,35.680,64.320,52.443,47.557,5.01,224,0.875,bicubic,-56.580,-45.927,-8
dla34,35.647,64.353,52.813,47.187,15.74,224,0.875,bilinear,-55.613,-45.367,+12
efficientnet_lite0,35.643,64.357,53.697,46.303,4.65,224,0.875,bicubic,-55.617,-44.553,+12
ssl_resnet18,35.637,64.363,53.817,46.183,11.69,224,0.875,bilinear,-55.063,-44.213,+22
mobilenetv3_rw,35.617,64.383,53.740,46.260,5.48,224,0.875,bicubic,-55.943,-44.530,+1
tf_efficientnet_es,35.593,64.407,52.930,47.070,5.44,224,0.875,bicubic,-56.947,-45.580,-21
mobilenetv2_110d,35.287,64.713,52.820,47.180,4.52,224,0.875,bicubic,-56.043,-45.370,+5
hrnet_w18_small_v2,35.217,64.783,52.527,47.473,15.60,224,0.875,bilinear,-55.953,-45.833,+12
tf_mixnet_m,35.210,64.790,50.977,49.023,5.01,224,0.875,bicubic,-56.960,-47.443,-13
resnet18d,35.120,64.880,52.880,47.120,11.71,224,0.875,bicubic,-54.880,-44.960,+21
regnety_008,34.883,65.117,51.857,48.143,6.26,224,0.875,bicubic,-57.007,-46.563,-10
ese_vovnet19b_dw,34.837,65.163,51.990,48.010,6.54,224,0.875,bicubic,-57.183,-46.530,-13
mobilenetv3_large_100,34.577,65.423,52.913,47.087,5.48,224,0.875,bicubic,-56.903,-45.417,-6
seresnext26tn_32x4d,34.567,65.433,51.470,48.530,16.81,224,0.875,bicubic,-58.203,-47.080,-43
seresnext26d_32x4d,34.513,65.487,51.563,48.437,16.81,224,0.875,bicubic,-57.927,-46.977,-27
resnet26d,34.330,65.670,51.843,48.157,16.01,224,0.875,bicubic,-57.900,-46.627,-21
fbnetc_100,34.323,65.677,51.240,48.760,5.57,224,0.875,bilinear,-56.937,-46.580,-1
regnety_006,34.233,65.767,51.300,48.700,6.06,224,0.875,bicubic,-57.357,-47.130,-13
seresnext26t_32x4d,34.197,65.803,51.420,48.580,16.82,224,0.875,bicubic,-58.783,-47.060,-61
tf_mobilenetv3_large_100,33.990,66.010,51.530,48.470,5.48,224,0.875,bilinear,-57.420,-46.720,-10
mnasnet_100,33.850,66.150,51.247,48.753,4.38,224,0.875,bicubic,-57.350,-46.793,-3
regnetx_008,33.720,66.280,50.587,49.413,7.26,224,0.875,bicubic,-57.490,-47.783,-5
resnet26,33.583,66.417,51.017,48.983,16.00,224,0.875,bicubic,-57.867,-47.263,-14
mixnet_s,33.577,66.423,51.033,48.967,4.13,224,0.875,bicubic,-58.203,-47.267,-22
semnasnet_100,33.553,66.447,50.843,49.157,3.89,224,0.875,bicubic,-58.107,-47.417,-21
spnasnet_100,33.507,66.493,51.310,48.690,4.42,224,0.875,bilinear,-57.113,-46.640,+1
regnetx_006,33.213,66.787,50.297,49.703,6.20,224,0.875,bicubic,-57.537,-47.803,-2
resnet18,33.043,66.957,51.133,48.867,11.69,224,0.875,bilinear,-55.127,-45.987,+11
legacy_seresnext26_32x4d,32.747,67.253,49.207,50.793,16.79,224,0.875,bicubic,-59.833,-49.223,-49
hrnet_w18_small,32.723,67.277,50.677,49.323,13.19,224,0.875,bilinear,-57.177,-47.223,+2
legacy_seresnet18,32.633,67.367,50.360,49.640,11.78,224,0.875,bicubic,-56.627,-47.330,+4
mobilenetv2_100,32.580,67.420,50.860,49.140,3.50,224,0.875,bicubic,-57.260,-46.980,+1
regnetx_004,32.567,67.433,49.407,50.593,5.16,224,0.875,bicubic,-56.883,-48.373,+1
regnety_004,32.403,67.597,49.503,50.497,4.34,224,0.875,bicubic,-58.357,-48.577,-10
gluon_resnet18_v1b,32.397,67.603,49.707,50.293,11.69,224,0.875,bicubic,-56.273,-47.403,+2
tf_mixnet_s,32.230,67.770,48.607,51.393,4.13,224,0.875,bicubic,-59.460,-49.633,-33
tf_mobilenetv3_large_075,31.947,68.053,49.137,50.863,3.99,224,0.875,bilinear,-58.363,-48.743,-9
tf_mobilenetv3_large_minimal_100,31.613,68.387,49.407,50.593,3.92,224,0.875,bilinear,-57.547,-47.913,-2
regnety_002,29.690,70.310,46.883,53.117,3.16,224,0.875,bicubic,-58.530,-50.547,-1
regnetx_002,28.883,71.117,45.583,54.417,2.68,224,0.875,bicubic,-58.487,-51.407,0
dla60x_c,28.527,71.473,46.257,53.743,1.32,224,0.875,bilinear,-58.553,-50.883,0
tf_mobilenetv3_small_100,27.347,72.653,44.490,55.510,2.54,224,0.875,bilinear,-58.633,-51.910,0
dla46x_c,26.277,73.723,43.903,56.097,1.07,224,0.875,bilinear,-59.193,-52.547,0
tf_mobilenetv3_small_075,26.273,73.727,43.713,56.287,2.04,224,0.875,bilinear,-58.257,-52.167,+1
dla46_c,25.490,74.510,43.953,56.047,1.30,224,0.875,bilinear,-59.220,-52.257,-1
tf_mobilenetv3_small_minimal_100,25.110,74.890,42.987,57.013,2.04,224,0.875,bilinear,-57.560,-52.013,0
pnasnet5large,6.983,93.017,19.613,80.387,86.06,331,0.911,bicubic,-10.887,-22.507,0
ens_adv_inception_resnet_v2,6.550,93.450,18.623,81.377,55.85,299,0.897,bicubic,-9.690,-21.767,+2
inception_resnet_v2,6.313,93.687,18.147,81.853,55.85,299,0.897,bicubic,-10.477,-20.703,-1
inception_v4,5.923,94.077,16.657,83.343,42.68,299,0.875,bicubic,-10.617,-20.723,-1

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 79.730 20.350 20.270 89.393 89.517 10.607 10.483 828.41 224 0.875 bilinear -17.320 -17.480 -10.277 -10.183 +4 +2
3 ig_resnext101_32x32d 79.457 79.520 20.543 20.480 89.183 89.227 10.817 10.773 468.53 224 0.875 bilinear -17.323 -17.360 -10.347 -10.433 +5 +4
4 ig_resnext101_32x16d 78.837 78.830 21.163 21.170 88.480 88.463 11.520 11.537 194.03 224 0.875 bilinear -17.603 -17.660 -11.060 -11.157 +9 +10
5 tf_efficientnet_l2_ns_475 76.480 76.367 23.520 23.633 88.653 88.540 11.347 11.460 480.31 475 0.936 bicubic -21.270 -19.573 -11.167 -10.860 -2 -4
6 swsl_resnext101_32x16d 76.303 76.220 23.697 23.780 87.733 87.747 12.267 12.253 194.03 224 0.875 bilinear -19.967 -20.060 -11.767 -11.773 +12 +15
7 ig_resnext101_32x8d 75.813 75.897 24.187 24.103 86.200 86.253 13.800 13.747 88.79 224 0.875 bilinear -20.117 -20.083 -13.180 -13.197 +20 +25
8 swsl_resnext101_32x8d 75.590 24.410 86.937 87.043 13.063 12.957 88.79 224 0.875 bilinear -20.650 -20.680 -12.653 -12.457 +11 +14
9 tf_efficientnet_l2_ns 74.650 74.623 25.350 25.377 87.543 87.497 12.457 12.503 480.31 800 0.960 bicubic -23.130 -21.707 -12.347 -12.013 -7 -9
10 swsl_resnext101_32x4d 72.660 72.700 27.340 27.300 85.157 85.193 14.843 14.807 44.18 224 0.875 bilinear -23.390 -23.380 -14.373 -14.347 +15 +20
11 swsl_resnext50_32x4d 68.977 69.103 31.023 30.897 82.810 82.880 17.190 17.120 25.03 224 0.875 bilinear -26.643 -26.507 -16.630 -16.560 +17 +26
12 swsl_resnet50 68.297 68.357 31.703 31.643 83.313 83.383 16.687 16.617 25.56 224 0.875 bilinear -26.903 -26.863 -16.077 -15.857 +28 +40
13 tf_efficientnet_b7_ns 67.510 67.040 32.490 32.960 81.383 81.090 18.617 18.910 66.35 600 0.949 bicubic -29.690 -30.730 -18.317 -18.800 -9 -11
14 tf_efficientnet_b6_ns 65.587 65.460 34.413 34.540 79.553 79.447 20.447 20.553 43.04 528 0.942 bicubic -31.433 -32.290 -20.157 -20.373 -9 -11
15 tf_efficientnet_b5_ns 63.047 62.890 36.953 37.110 77.777 77.720 22.223 22.280 30.39 456 0.934 bicubic -33.823 -34.070 -21.863 -21.950 -8 -9
16 tf_efficientnet_b4_ns 61.230 61.087 38.770 38.913 76.173 76.060 23.827 23.940 19.34 380 0.922 bicubic -35.480 -35.793 -23.467 -23.580 -7 -8
17 tf_efficientnet_b8_ap 57.830 57.870 42.170 42.130 72.957 72.940 27.043 27.060 87.41 672 0.954 bicubic -38.720 -38.830 -26.583 -26.610 -5 -6
18 tf_efficientnet_b3_ns 57.417 57.323 42.583 42.677 72.387 27.613 12.23 300 0.904 bicubic -38.683 -38.787 -27.093 -27.073 +4 +9
19 vit_large_patch16_384 54.750 54.803 45.250 45.197 70.007 70.107 29.993 29.893 304.72 384 1.000 bicubic -41.610 -41.627 -29.623 -29.433 -4 -3
20 tf_efficientnet_b5_ap vit_base_resnet50_384 53.870 54.333 46.130 45.667 69.160 69.503 30.840 30.497 30.39 98.95 456 384 0.934 1.000 bicubic -42.210 -42.227 -30.380 -30.047 +3 -7
21 tf_efficientnet_b2_ns resnetv2_152x4_bitm 53.600 54.170 46.400 45.830 70.270 70.257 29.730 29.743 9.11 936.53 260 480 0.890 1.000 bicubic bilinear -41.920 -42.860 -29.070 -29.453 +10 -16
22 tf_efficientnet_b6_ap tf_efficientnet_b5_ap 53.560 53.920 46.440 46.080 68.550 69.190 31.450 30.810 43.04 30.39 528 456 0.942 0.934 bicubic -42.810 -42.160 -31.000 -30.280 -8 +7
23 tf_efficientnet_b8 tf_efficientnet_b6_ap 53.410 53.563 46.590 46.437 69.090 68.580 30.910 31.420 87.41 43.04 672 528 0.954 0.942 bicubic -43.290 -42.817 -30.440 -31.020 -13 -6
24 tf_efficientnet_b7_ap tf_efficientnet_b2_ns 53.260 53.507 46.740 46.493 68.873 70.393 31.127 29.607 66.35 9.11 600 260 0.949 0.890 bicubic -43.090 -42.023 -30.717 -28.947 -8 +16
25 tf_efficientnet_b4_ap tf_efficientnet_b7_ap 53.090 53.320 46.910 46.680 68.210 68.900 31.790 31.100 19.34 66.35 380 600 0.922 0.949 bicubic -42.400 -43.040 -31.180 -30.650 +8 -7
26 tf_efficientnet_b7 tf_efficientnet_b8 52.393 53.203 47.607 46.797 68.233 68.957 31.767 31.043 66.35 87.41 600 672 0.949 0.954 bicubic -44.187 -43.577 -31.277 -30.573 -15 -17
27 swsl_resnet18 tf_efficientnet_b4_ap 52.327 53.073 47.673 46.927 70.480 68.230 29.520 31.770 11.69 19.34 224 380 0.875 0.922 bilinear bicubic -38.763 -42.427 -27.730 -31.160 +213 +16
28 tf_efficientnet_b1_ns tf_efficientnet_b7 50.883 52.303 49.117 47.697 67.910 68.227 32.090 31.773 7.79 66.35 240 600 0.882 0.949 bicubic -43.977 -44.407 -31.340 -31.413 +24 -18
29 vit_base_patch16_384 swsl_resnet18 50.883 52.243 49.117 47.757 65.270 70.503 34.730 29.497 86.86 11.69 384 224 1.000 0.875 bicubic bilinear -45.307 -38.847 -34.260 -27.707 -9 +220
30 ssl_resnext101_32x16d vit_base_patch16_384 50.257 51.037 49.743 48.963 66.033 65.390 33.967 34.610 194.03 86.86 224 384 0.875 1.000 bilinear bicubic -45.153 -45.133 -33.267 -34.230 +5 -6
31 resnest269e resnetv2_152x2_bitm 50.153 50.950 49.847 49.050 64.670 68.580 35.330 31.420 110.93 236.34 416 480 0.928 1.000 bicubic bilinear -45.967 -45.630 -34.850 -30.930 -10 -19
32 tf_efficientnet_b3_ap vit_large_patch16_224 50.057 50.937 49.943 49.063 65.210 66.340 34.790 33.660 12.23 304.33 300 224 0.904 0.900 bicubic -44.913 -44.353 -33.900 -32.970 +16
33 resnest200e tf_efficientnet_b1_ns 49.873 50.770 50.127 49.230 64.743 67.960 35.257 32.040 70.20 7.79 320 240 0.909 0.882 bicubic -46.197 -44.110 -34.737 -31.290 -9 +30
34 tf_efficientnet_b5 ssl_resnext101_32x16d 49.510 50.227 50.490 49.773 65.657 66.093 34.343 33.907 30.39 194.03 456 224 0.934 0.875 bicubic bilinear -46.470 -45.173 -33.793 -33.317 -8 +11
35 resnest101e seresnet152d 49.367 50.183 50.633 49.817 65.587 65.123 34.413 34.877 48.28 66.84 256 0.875 0.940 bilinear bicubic -46.203 -45.757 -33.683 -34.267 -5 +33
36 ssl_resnext101_32x8d resnest269e 49.067 50.133 50.933 49.867 65.480 64.713 34.520 35.287 88.79 110.93 224 416 0.875 0.928 bilinear bicubic -46.273 -46.037 -33.840 -34.807 +1 -10
37 efficientnet_b3a tf_efficientnet_b3_ap 48.563 50.093 51.437 49.907 64.250 65.277 35.750 34.723 12.23 320 300 1.000 0.904 bicubic -46.577 -44.867 -34.960 -33.833 +7 +24
38 ecaresnet101d resnet200d 48.527 49.850 51.473 50.150 64.100 64.730 35.900 35.270 44.57 64.69 224 256 0.875 0.940 bicubic -46.633 -45.850 -35.130 -34.610 +3 -1
39 vit_large_patch32_384 resnest200e 48.250 49.807 51.750 50.193 61.830 64.780 38.170 35.220 306.63 70.20 384 320 1.000 0.909 bicubic -46.990 -46.303 -37.490 -34.690 0 -10
40 efficientnet_b3 resnetv2_101x3_bitm 48.170 49.683 51.830 50.317 64.133 67.137 35.867 32.863 12.23 387.93 300 480 0.904 1.000 bicubic bilinear -46.800 -46.787 -35.097 -32.523 +7 -24
41 resnest50d_4s2x40d resnet152d 47.483 49.637 52.517 50.363 63.807 64.740 36.193 35.260 30.42 60.21 224 256 0.875 0.940 bicubic -47.227 -45.833 -35.323 -34.560 +16 +4
42 efficientnet_b3_pruned tf_efficientnet_b5 47.447 49.497 52.553 50.503 62.793 65.597 37.207 34.403 9.86 30.39 300 456 0.904 0.934 bicubic -47.133 -46.563 -36.277 -33.943 +22 -10
43 tf_efficientnet_b6 resnet200d_320 47.213 49.437 52.787 50.563 63.110 64.300 36.890 35.700 43.04 64.69 528 320 0.942 1.000 bicubic -49.077 -46.683 -36.410 -35.220 -26 -16
44 ssl_resnext101_32x4d resnest101e 47.177 49.380 52.823 50.620 63.367 65.527 36.633 34.473 44.18 48.28 224 256 0.875 bilinear -47.983 -46.210 -35.933 -33.743 -2 -5
45 tf_efficientnet_b4 resnet152d_320 47.083 49.267 52.917 50.733 62.867 64.427 37.133 35.573 19.34 60.21 380 320 0.922 1.000 bicubic -48.507 -46.583 -36.463 -35.003 -16 -10
46 vit_base_patch16_224 seresnet152d_320 46.710 49.220 53.290 50.780 62.997 64.273 37.003 35.727 86.54 66.84 224 320 0.900 1.000 bicubic -46.890 -47.140 -35.763 -35.357 +95 +18
47 gluon_seresnext101_64x4d ssl_resnext101_32x8d 46.677 49.140 53.323 50.860 61.303 65.507 38.697 34.493 88.23 88.79 224 0.875 bicubic bilinear -47.973 -46.190 -37.677 -33.813 +15 +2
48 regnety_032 efficientnet_b3a 46.620 48.573 53.380 51.427 62.180 64.343 37.820 35.657 19.44 12.23 224 320 0.875 1.000 bicubic -48.450 -46.577 -37.030 -34.867 -3 +10
49 tresnet_xl ecaresnet101d 46.283 48.473 53.717 51.527 61.943 64.087 38.057 35.913 78.44 44.57 224 0.875 bilinear bicubic -48.777 -46.687 -37.317 -35.143 -3 +7
50 resnest50d_1s4x24d efficientnet_b3 46.083 48.227 53.917 51.773 62.377 64.183 37.623 35.817 25.68 12.23 224 300 0.875 0.904 bicubic -48.307 -46.743 -36.693 -35.057 +20 +11
51 tf_efficientnet_b0_ns resnest50d_4s2x40d 46.047 47.500 53.953 52.500 63.253 63.867 36.747 36.133 5.29 30.42 224 0.875 bicubic -47.693 -47.210 -35.727 -35.263 +75 +19
52 resnest50d efficientnet_b3_pruned 45.937 47.463 54.063 52.537 62.623 62.850 37.377 37.150 27.48 9.86 224 300 0.875 0.904 bilinear bicubic -48.683 -47.117 -36.407 -36.220 +11 +26
53 gluon_seresnext101_32x4d vit_base_patch16_224 45.590 47.413 54.410 52.587 61.143 61.683 38.857 38.317 48.96 86.57 224 0.875 0.900 bicubic -48.860 -47.807 -37.947 -37.717 +14 0
54 gluon_resnet152_v1d resnet101d 45.430 47.227 54.570 52.773 60.077 62.793 39.923 37.207 60.21 44.57 224 256 0.875 0.940 bicubic -49.010 -48.053 -38.933 -36.467 +15 -3
55 ssl_resnext50_32x4d ssl_resnext101_32x4d 45.407 47.177 54.593 52.823 62.047 63.397 37.953 36.603 25.03 44.18 224 0.875 bilinear -49.293 -47.983 -37.193 -35.903 +3 +2
56 tresnet_xl_448 tf_efficientnet_b6 45.223 47.153 54.777 52.847 61.437 63.057 38.563 36.943 78.44 43.04 448 528 0.875 0.942 bilinear bicubic -50.287 -49.197 -37.903 -36.543 -24 -34
57 nasnetalarge tf_efficientnet_b4 45.210 47.040 54.790 52.960 57.883 62.903 42.117 37.097 88.75 19.34 331 380 0.911 0.922 bicubic -49.940 -48.550 -41.247 -36.417 -14 -16
58 tf_efficientnet_b3 resnet101d_320 45.107 46.907 54.893 53.093 60.650 62.360 39.350 37.640 12.23 44.57 300 320 0.904 1.000 bicubic -49.803 -48.843 -38.460 -37.080 -9 -21
59 rexnet_200 resnetv2_50x3_bitm 45.047 46.857 54.953 53.143 62.317 64.907 37.683 35.093 16.37 217.32 224 480 0.875 1.000 bicubic bilinear -49.613 -49.363 -36.773 -34.683 +1 -34
60 ecaresnetlight gluon_seresnext101_64x4d 44.890 46.690 55.110 53.310 60.770 61.357 39.230 38.643 30.16 88.23 224 0.875 bicubic -49.250 -47.940 -38.180 -37.613 +28 +16
61 tf_efficientnet_b2_ap regnety_032 44.700 46.643 55.300 53.357 60.680 62.210 39.320 37.790 9.11 19.44 260 224 0.890 0.875 bicubic -49.570 -48.427 -38.270 -37.000 +18 -2
62 vit_base_patch32_384 tresnet_xl 44.693 46.280 55.307 53.720 58.530 61.903 41.470 38.097 88.30 78.44 384 224 1.000 0.875 bicubic bilinear -50.567 -48.790 -40.650 -37.347 -24 -2
63 ens_adv_inception_resnet_v2 resnest50d_1s4x24d 44.393 46.130 55.607 53.870 58.117 62.480 41.883 37.520 55.84 25.68 299 224 0.897 0.875 bicubic -49.737 -48.260 -40.673 -36.580 +27 +22
64 tresnet_l tf_efficientnet_b0_ns 44.363 46.047 55.637 53.953 59.953 63.280 40.047 36.720 55.99 5.29 224 0.875 bilinear bicubic -50.537 -47.713 -39.077 -35.700 -14 +71
65 gluon_resnext101_32x4d resnest50d 44.290 45.883 55.710 54.117 59.090 62.673 40.910 37.327 44.18 27.48 224 0.875 bicubic bilinear -49.830 -48.737 -39.840 -36.357 +28 +12
66 wide_resnet50_2 gluon_seresnext101_32x4d 44.177 45.517 55.823 54.483 59.727 61.150 40.273 38.850 68.88 48.96 224 0.875 bicubic -50.493 -48.913 -39.323 -37.940 -7 +18
67 cspresnext50 gluon_resnet152_v1d 44.147 45.423 55.853 54.577 60.533 60.097 39.467 39.903 20.57 60.21 224 0.875 bilinear bicubic -49.613 -49.027 -38.307 -38.903 +54 +15
68 seresnext50_32x4d ssl_resnext50_32x4d 44.127 45.370 55.873 54.630 59.490 61.983 40.510 38.017 27.56 25.03 224 0.875 bicubic bilinear -50.693 -49.330 -39.640 -37.067 -15 +3
69 gluon_resnet152_v1s nasnetalarge 44.073 45.200 55.927 54.800 58.703 57.960 41.297 42.040 60.32 88.75 224 331 0.875 0.911 bicubic -50.647 -49.970 -40.357 -41.170 -14
70 ssl_resnet50 tresnet_xl_448 44.010 45.157 55.990 54.843 61.887 61.440 38.113 38.560 25.56 78.44 224 448 0.875 bilinear -50.300 -50.363 -37.263 -37.900 +6 -27
71 inception_resnet_v2 tf_efficientnet_b3 44.003 45.103 55.997 54.897 57.907 60.680 42.093 39.320 55.84 12.23 299 300 0.897 0.904 bicubic -50.337 -49.807 -40.893 -38.420 +4 -8
72 pnasnet5large rexnet_200 43.950 45.070 56.050 54.930 56.730 62.223 43.270 37.777 86.06 16.37 331 224 0.911 0.875 bicubic -51.410 -49.600 -42.400 -36.867 -36 +1
73 gluon_resnext101_64x4d ecaresnetlight 43.877 44.910 56.123 55.090 58.710 60.770 41.290 39.230 83.46 30.16 224 0.875 bicubic -50.473 -49.230 -40.170 -38.180 0 +29
74 ecaresnet50d vit_base_patch32_384 43.750 44.793 56.250 55.207 60.387 58.577 39.613 41.423 25.58 88.30 224 384 0.875 1.000 bicubic -50.440 -50.457 -38.543 -40.603 +9 -22
75 ecaresnet101d_pruned tf_efficientnet_b2_ap 43.737 44.740 56.263 55.260 59.607 60.700 40.393 39.300 24.88 9.11 224 260 0.875 0.890 bicubic -50.713 -49.530 -39.473 -38.250 -7 +17
76 rexnet_150 tresnet_l 43.690 44.357 56.310 55.643 60.897 59.953 39.103 40.047 9.73 55.99 224 0.875 bicubic bilinear -50.580 -50.543 -38.183 -39.077 +2 -12
77 gluon_resnet101_v1d gluon_resnext101_32x4d 43.440 44.330 56.560 55.670 58.613 59.097 41.387 40.903 44.57 44.18 224 0.875 bicubic -50.730 -49.790 -40.327 -39.833 +8 +27
78 gluon_resnet101_v1s cspresnext50 43.363 44.167 56.637 55.833 58.503 60.447 41.497 39.553 44.67 20.57 224 0.875 bicubic bilinear -50.807 -49.583 -40.507 -38.393 +8 +58
79 cspdarknet53 wide_resnet50_2 43.357 44.167 56.643 55.833 59.430 59.680 40.570 40.320 27.64 68.88 256 224 0.887 0.875 bilinear bicubic -50.733 -50.493 -39.550 -39.370 +16 -4
80 dpn68b gluon_resnet152_v1s 43.287 44.083 56.713 55.917 58.673 58.740 41.327 41.260 12.61 60.32 224 0.875 bicubic -50.333 -50.617 -40.027 -40.500 +58 -8
81 resnest26d seresnext50_32x4d 43.140 44.077 56.860 55.923 60.623 59.427 39.377 40.573 17.07 27.56 224 0.875 bilinear bicubic -50.100 -50.733 -38.227 -39.703 +82 -14
82 dpn131 gluon_resnext101_64x4d 43.047 43.893 56.953 56.107 57.440 58.713 42.560 41.287 79.25 83.46 224 0.875 bicubic -50.713 -50.437 -41.360 -40.167 +40 +6
83 cspresnet50 ssl_resnet50 43.030 43.887 56.970 56.113 59.153 61.933 40.847 38.067 21.62 25.56 256 224 0.887 0.875 bilinear -50.830 -50.433 -39.717 -37.227 +28 +6
84 tf_efficientnet_lite4 ecaresnet101d_pruned 42.967 43.787 57.033 56.213 57.620 59.650 42.380 40.350 13.01 24.88 380 224 0.920 0.875 bilinear bicubic -51.903 -50.653 -41.470 -39.450 -33 -1
85 gluon_resnet152_v1b ecaresnet50d 42.903 43.700 57.097 56.300 57.750 60.380 42.250 39.620 60.19 25.58 224 0.875 bicubic -51.127 -50.500 -41.290 -38.640 +15 +10
86 dpn107 rexnet_150 42.857 43.580 57.143 56.420 57.367 60.840 42.633 39.160 86.92 9.73 224 0.875 bicubic -51.103 -50.700 -41.473 -38.250 +18 +5
87 tf_efficientnet_b1_ap gluon_resnet101_v1d 42.803 43.420 57.197 56.580 58.813 58.560 41.187 41.440 7.79 44.57 240 224 0.882 0.875 bicubic -50.827 -50.740 -39.987 -40.390 +50 +14
88 gluon_resnet152_v1c gluon_resnet101_v1s 42.800 43.407 57.200 56.593 57.737 58.700 42.263 41.300 60.21 44.67 224 0.875 bicubic -51.080 -50.773 -41.063 -40.210 +21 +11
89 gluon_xception65 cspdarknet53 42.793 43.340 57.207 56.660 58.820 59.483 41.180 40.517 39.92 27.64 299 256 0.903 0.887 bicubic bilinear -51.217 -50.760 -40.200 -39.497 +12 +18
90 tresnet_l_448 dpn68b 42.753 43.263 57.247 56.737 58.947 58.607 41.053 41.393 55.99 12.61 448 224 0.875 bilinear bicubic -52.657 -50.337 -40.463 -40.103 -56 +62
91 resnet50d cspresnet50 42.707 43.130 57.293 56.870 58.697 59.213 41.303 40.787 25.58 21.62 224 256 0.875 0.887 bicubic bilinear -51.363 -50.720 -40.223 -39.687 +6 +33
92 tresnet_m resnest26d 42.687 43.110 57.313 56.890 58.153 60.590 41.847 39.410 31.39 17.07 224 0.875 bilinear -51.383 -50.150 -40.677 -38.250 +6 +82
93 gluon_seresnext50_32x4d resnetv2_101x1_bitm 42.683 43.043 57.317 56.957 58.710 60.910 41.290 39.090 27.56 44.54 224 480 0.875 1.000 bicubic bilinear -51.487 -52.457 -40.200 -38.600 -6 -49
94 resnext101_32x8d dpn131 42.557 43.020 57.443 56.980 58.317 57.430 41.683 42.570 88.79 79.25 224 0.875 bilinear bicubic -51.213 -50.740 -40.633 -41.380 +26 +40
95 seresnet50 gluon_resnet152_v1b 42.510 42.980 57.490 57.020 58.667 57.730 41.333 42.270 28.09 60.19 224 0.875 bicubic -51.570 -51.040 -40.303 -41.300 +1 +19
96 dpn98 dpn107 42.280 42.890 57.720 57.110 56.880 57.527 43.120 42.473 61.57 86.92 224 0.875 bicubic -51.660 -51.070 -42.040 -41.323 +10 +20
97 tf_efficientnet_cc_b1_8e tf_efficientnet_lite4 42.233 42.850 57.767 57.150 58.420 57.710 41.580 42.290 39.72 13.01 240 380 0.882 0.920 bicubic bilinear -51.337 -52.020 -40.270 -41.380 +48 -31
98 legacy_senet154 gluon_resnet152_v1c 42.207 42.840 57.793 57.160 56.597 57.797 43.403 42.203 115.09 60.21 224 0.875 bilinear bicubic -52.523 -51.030 -42.503 -41.003 -44 +24
99 tf_efficientnet_b2 tf_efficientnet_b1_ap 42.120 42.827 57.880 57.173 58.197 58.850 41.803 41.150 9.11 7.79 260 240 0.890 0.882 bicubic -52.090 -50.813 -40.833 -39.930 -17 +50
100 gluon_resnext50_32x4d tresnet_l_448 42.043 42.787 57.957 57.213 57.667 58.940 42.333 41.060 25.03 55.99 224 448 0.875 bicubic bilinear -51.607 -52.613 -41.023 -40.340 +34 -52
101 resnet50 gluon_xception65 42.013 42.730 57.987 57.270 56.000 58.870 44.000 41.130 25.56 39.92 224 299 0.875 0.903 bicubic -51.447 -51.300 -42.600 -40.160 +52 +11
102 ecaresnet50d_pruned resnet50d 41.953 42.700 58.047 57.300 58.217 58.770 41.783 41.230 19.94 25.58 224 0.875 bicubic -51.867 -51.370 -40.783 -40.150 +13 +8
103 efficientnet_b2a tresnet_m 41.933 42.690 58.067 57.310 58.300 58.213 41.700 41.787 9.11 31.39 288 224 1.000 0.875 bicubic bilinear -52.437 -51.390 -40.750 -40.617 -31 +6
104 dla102x2 gluon_seresnext50_32x4d 41.647 42.687 58.353 57.313 57.967 58.717 42.033 41.283 41.28 27.56 224 0.875 bilinear bicubic -52.353 -51.493 -41.063 -40.303 -1 -6
105 hrnet_w64 resnext101_32x8d 41.637 42.573 58.363 57.427 57.130 58.357 42.870 41.643 128.06 88.79 224 0.875 bilinear -52.193 -51.197 -41.800 -40.593 +9 +28
106 efficientnet_b2 seresnet50 41.627 42.493 58.373 57.507 58.033 58.770 41.967 41.230 9.11 28.09 260 224 0.875 bicubic -52.713 -51.587 -41.067 -40.200 -32 +2
107 gluon_senet154 legacy_senet154 41.627 42.290 58.373 57.710 56.373 56.563 43.627 43.437 115.09 224 0.875 bicubic bilinear -53.083 -52.440 -42.597 -42.537 -51 -39
108 inception_v4 dpn98 41.577 42.277 58.423 57.723 55.383 56.933 44.617 43.067 42.68 61.57 299 224 0.875 bicubic -52.803 -51.673 -43.437 -41.987 -37 +9
109 efficientnet_em tf_efficientnet_cc_b1_8e 41.493 42.277 58.507 57.723 58.877 58.523 41.123 41.477 6.90 39.72 240 0.882 bicubic -52.247 -51.303 -40.053 -40.167 +16 +46
110 tf_efficientnet_cc_b0_8e tf_efficientnet_b2 41.487 42.197 58.513 57.803 57.377 58.207 42.623 41.793 24.01 9.11 224 260 0.875 0.890 bicubic -51.383 -52.003 -41.083 -40.823 +74 -13
111 resnext50_32x4d gluon_resnext50_32x4d 41.443 42.107 58.557 57.893 56.997 57.683 43.003 42.317 25.03 224 0.875 bicubic -52.397 -51.563 -41.833 -41.017 +2 +34
112 tv_resnet152 resnet50 41.327 42.043 58.673 57.957 57.520 56.093 42.480 43.907 60.19 25.56 224 0.875 bilinear bicubic -51.913 -51.437 -41.230 -42.667 +52 +51
113 xception71 ecaresnet50d_pruned 41.270 42.000 58.730 58.000 55.873 58.330 44.127 41.670 42.34 19.94 299 224 0.903 0.875 bicubic -52.620 -51.820 -43.077 -40.670 -5 +14
114 dpn92 efficientnet_b2a 41.267 41.940 58.733 58.060 56.333 58.303 43.667 41.697 37.67 9.11 224 288 0.875 1.000 bicubic -52.923 -52.430 -42.687 -40.747 -30 -28
115 adv_inception_v3 gluon_senet154 41.263 41.700 58.737 58.300 56.317 56.477 43.683 43.523 23.83 115.09 299 224 0.875 bicubic -51.747 -53.010 -42.173 -42.493 +57 -46
116 resnetblur50 dla102x2 41.053 41.670 58.947 58.330 57.077 58.033 42.923 41.967 25.56 41.28 224 0.875 bicubic bilinear -52.657 -52.350 -41.733 -40.707 +13 -1
117 gluon_resnet50_v1d efficientnet_b2 40.970 41.660 59.030 58.340 57.137 58.057 42.863 41.943 25.58 9.11 224 260 0.875 bicubic -52.560 -52.680 -41.573 -41.043 +31 -30
118 gluon_inception_v3 hrnet_w64 40.907 41.623 59.093 58.377 55.617 57.177 44.383 42.823 23.83 128.06 299 224 0.875 bicubic bilinear -52.633 -52.227 -43.213 -41.743 +28 +7
119 ese_vovnet39b tf_efficientnet_cc_b0_8e 40.867 41.533 59.133 58.467 56.950 57.393 43.050 42.607 24.57 24.01 224 0.875 bicubic -52.983 -51.327 -41.950 -41.067 -7 +76
120 regnety_320 efficientnet_em 40.813 41.477 59.187 58.523 56.117 58.877 43.883 41.123 145.05 6.90 224 240 0.875 0.882 bicubic -53.707 -52.273 -43.053 -40.043 -55 +17
121 resnet34d resnext50_32x4d 40.810 41.367 59.190 58.633 56.530 56.950 43.470 43.050 21.82 25.03 224 0.875 bicubic -51.830 -52.483 -41.890 -41.880 +72 +5
122 xception tv_resnet152 40.763 41.317 59.237 58.683 56.387 57.587 43.613 42.413 22.86 60.19 299 224 0.897 0.875 bicubic bilinear -52.877 -51.933 -42.383 -41.163 +13 +53
123 skresnext50_32x4d xception71 40.700 41.297 59.300 58.703 56.023 55.940 43.977 44.060 27.48 42.34 224 299 0.875 0.903 bicubic -53.250 -52.603 -42.797 -43.010 -18 -3
124 gluon_resnet101_v1b dpn92 40.683 41.257 59.317 58.743 56.117 56.327 43.883 43.673 44.55 37.67 224 0.875 bicubic -53.077 -52.943 -42.583 -42.603 -1 -30
125 hrnet_w40 adv_inception_v3 40.660 41.220 59.340 58.780 56.753 56.360 43.247 43.640 57.56 23.83 224 299 0.875 bilinear bicubic -53.050 -51.770 -42.047 -42.120 +3 +60
126 tf_efficientnet_lite3 resnetblur50 40.563 41.077 59.437 58.923 56.477 57.080 43.523 42.920 8.20 25.56 300 224 0.904 0.875 bilinear bicubic -53.567 -52.633 -42.483 -41.720 -34 +16
127 tresnet_m_448 gluon_resnet50_v1d 40.530 41.010 59.470 58.990 56.700 57.147 43.300 42.853 31.39 25.58 448 224 0.875 bilinear bicubic -54.130 -52.540 -42.450 -41.563 -66 +31
128 dla169 ese_vovnet39b 40.493 40.887 59.507 59.113 57.263 57.020 42.737 42.980 53.39 24.57 224 0.875 bilinear bicubic -53.307 -52.963 -41.577 -41.860 -11 -5
129 regnetx_320 gluon_inception_v3 40.443 40.880 59.557 59.120 55.660 55.670 44.340 44.330 107.81 23.83 224 299 0.875 bicubic -53.767 -52.710 -43.390 -43.170 -48 +24
130 skresnet34 resnet34d 40.397 40.853 59.603 59.147 56.737 56.523 43.263 43.477 22.28 21.82 224 0.875 bicubic -52.173 -51.787 -41.683 -41.917 +68 +74
131 efficientnet_b2_pruned regnety_320 40.383 40.837 59.617 59.163 56.537 56.180 43.463 43.820 8.31 145.05 260 224 0.890 0.875 bicubic -53.417 -53.663 -42.373 -42.990 -13 -51
132 wide_resnet101_2 xception 40.360 40.793 59.640 59.207 55.780 56.510 44.220 43.490 126.89 22.86 224 299 0.875 0.897 bilinear bicubic -53.370 -52.857 -43.030 -42.280 -6 +16
133 legacy_seresnext101_32x4d gluon_resnet101_v1b 40.360 40.707 59.640 59.293 54.817 56.180 45.183 43.820 48.96 44.55 224 0.875 bilinear bicubic -53.770 -53.063 -44.153 -42.530 -41 -1
134 tf_efficientnet_b0_ap skresnext50_32x4d 40.337 40.700 59.663 59.300 56.787 56.013 43.213 43.987 5.29 27.48 224 0.875 bicubic -52.273 -53.250 -41.583 -42.807 +61 -16
135 xception65 hrnet_w40 40.273 40.663 59.727 59.337 55.283 56.863 44.717 43.137 39.92 57.56 299 224 0.903 0.875 bicubic bilinear -53.487 -53.047 -43.577 -41.937 -11 +6
136 regnetx_160 tf_efficientnet_lite3 40.270 40.613 59.730 59.387 56.050 56.567 43.950 43.433 54.28 8.20 224 300 0.875 0.904 bicubic bilinear -53.610 -53.507 -43.040 -42.393 -26 -31
137 densenet201 regnetx_320 40.267 40.533 59.733 59.467 56.710 55.663 43.290 44.337 20.01 107.81 224 0.875 bicubic -52.423 -53.667 -41.940 -43.387 +53 -41
138 resnext50d_32x4d dla169 40.170 40.513 59.830 59.487 55.487 57.317 44.513 42.683 25.05 53.39 224 0.875 bicubic bilinear -53.640 -53.267 -43.253 -41.523 -22 -7
139 vit_small_patch16_224 tresnet_m_448 40.130 40.510 59.870 59.490 56.543 56.667 43.457 43.333 48.75 31.39 224 448 0.900 0.875 bicubic bilinear -52.470 -54.160 -41.847 -42.503 +57 -65
140 hrnet_w48 wide_resnet101_2 40.093 40.467 59.907 59.533 56.640 55.873 43.360 44.127 77.47 126.89 224 0.875 bilinear -53.937 -53.263 -42.100 -42.937 -41 -1
141 legacy_seresnet152 efficientnet_b2_pruned 40.043 40.460 59.957 59.540 55.820 56.607 44.180 43.393 66.82 8.31 224 260 0.875 0.890 bilinear bicubic -53.397 -53.340 -43.030 -42.113 +14 -12
142 hrnet_w30 skresnet34 40.030 40.377 59.970 59.623 57.093 56.797 42.907 43.203 37.71 22.28 224 0.875 bilinear bicubic -53.340 -52.183 -41.737 -41.753 +16 +68
143 regnetx_080 tf_efficientnet_b0_ap 40.000 40.363 60.000 59.637 55.977 56.830 44.023 43.170 39.57 5.29 224 0.875 bicubic -53.790 -52.237 -42.933 -41.540 -24 +64
144 tf_efficientnet_b1 regnetx_160 39.977 40.350 60.023 59.650 56.137 56.090 43.863 43.910 7.79 54.28 240 224 0.882 0.875 bicubic -53.733 -53.540 -42.663 -42.990 -14 -23
145 gluon_resnet101_v1c legacy_seresnext101_32x4d 39.953 40.323 60.047 59.677 55.300 54.843 44.700 45.157 44.57 48.96 224 0.875 bicubic bilinear -53.737 -53.847 -43.460 -44.127 -14 -45
146 res2net101_26w_4s xception65 39.717 40.317 60.283 59.683 54.550 55.270 45.450 44.730 45.21 39.92 224 299 0.875 0.903 bilinear bicubic -53.803 -53.433 -44.050 -43.600 +3 -8
147 regnetx_120 densenet201 39.687 40.300 60.313 59.700 55.633 56.763 44.367 43.237 46.11 20.01 224 0.875 bicubic -54.583 -52.390 -43.557 -41.867 -70 +55
148 hrnet_w44 hrnet_w48 39.677 40.157 60.323 59.843 55.333 56.597 44.667 43.403 67.06 77.47 224 0.875 bilinear -53.943 -53.873 -43.627 -42.433 -9 -35
149 densenet161 resnext50d_32x4d 39.620 40.153 60.380 59.847 56.133 55.587 43.867 44.413 28.68 25.05 224 0.875 bicubic -53.280 -53.647 -42.587 -43.323 +33 -21
150 mixnet_xl legacy_seresnet152 39.617 40.060 60.383 59.940 55.887 44.113 11.90 66.82 224 0.875 bicubic bilinear -54.613 -53.400 -42.933 -42.963 -70 +15
151 xception41 tf_efficientnet_b1 39.610 40.043 60.390 59.957 55.037 56.213 44.963 43.787 26.97 7.79 299 240 0.903 0.882 bicubic -53.870 -53.667 -43.713 -42.587 0 -11
152 res2net50_26w_8s vit_small_patch16_224 39.603 40.043 60.397 59.957 54.550 56.507 45.450 43.493 48.40 48.75 224 0.875 0.900 bilinear bicubic -53.847 -52.567 -44.150 -41.883 +2 +54
153 tf_efficientnet_el hrnet_w30 39.563 40.010 60.437 59.990 55.310 57.107 44.690 42.893 10.59 37.71 300 224 0.904 0.875 bicubic bilinear -54.887 -53.380 -43.790 -41.723 -87 +16
154 dla102x regnetx_080 39.553 39.977 60.447 60.023 56.327 56.063 43.673 43.937 26.31 39.57 224 0.875 bilinear bicubic -53.977 -53.813 -42.523 -42.847 -7 -24
155 rexnet_130 gluon_resnet101_v1c 39.487 39.957 60.513 60.043 56.640 55.253 43.360 44.747 7.56 44.57 224 0.875 bicubic -54.183 -53.703 -42.070 -43.507 -22 -9
156 hrnet_w32 res2net101_26w_4s 39.463 39.720 60.537 60.280 56.123 54.610 43.877 45.390 41.23 45.21 224 0.875 bilinear -53.487 -53.800 -42.717 -44.020 +21 +3
157 regnety_064 regnetx_120 39.403 39.710 60.597 60.290 55.773 55.687 44.227 44.313 30.58 46.11 224 0.875 bicubic -54.737 -54.590 -43.257 -43.513 -68 -67
158 densenetblur121d res2net50_26w_8s 39.380 39.680 60.620 60.320 56.640 54.543 43.360 45.457 8.00 48.40 224 0.875 bicubic bilinear -53.020 -53.770 -41.770 -44.167 +48 +8
159 regnety_120 hrnet_w44 39.347 39.667 60.653 60.333 55.277 55.317 44.723 44.683 51.82 67.06 224 0.875 bicubic bilinear -54.663 -53.963 -43.753 -43.633 -57 -9
160 tv_resnet101 xception41 39.307 39.657 60.693 60.343 55.803 54.983 44.197 45.017 44.55 26.97 224 299 0.875 0.903 bilinear bicubic -53.573 -53.823 -42.857 -43.607 +23 +1
161 regnety_160 tf_efficientnet_el 39.260 39.603 60.740 60.397 55.433 55.337 44.567 44.663 83.59 10.59 224 300 0.875 0.904 bicubic -54.860 -54.867 -43.587 -43.743 -67 -80
162 tf_inception_v3 dla102x 39.240 39.590 60.760 60.410 54.300 56.343 45.700 43.657 23.83 26.31 299 224 0.875 bicubic bilinear -53.960 -53.920 -44.180 -42.507 +3 -2
163 gluon_resnet50_v1s densenet161 39.233 39.587 60.767 60.413 55.010 56.180 44.990 43.820 25.68 28.68 224 0.875 bicubic -54.357 -53.293 -43.830 -42.480 -21 +31
164 densenet169 mixnet_xl 39.167 39.550 60.833 60.450 55.843 55.837 44.157 44.163 14.15 11.90 224 0.875 bicubic -53.133 -54.670 -42.747 -42.983 +45 -71
165 legacy_seresnet101 hrnet_w32 39.037 39.523 60.963 60.477 55.003 56.263 44.997 43.737 49.33 41.23 224 0.875 bilinear -54.223 -53.427 -43.737 -42.577 -5 +23
166 efficientnet_b1_pruned rexnet_130 39.010 39.477 60.990 60.523 55.647 56.640 44.353 43.360 6.33 7.56 240 224 0.882 0.875 bicubic -53.970 -54.203 -42.883 -42.310 +9 -23
167 inception_v3 regnety_064 38.960 39.397 61.040 60.603 53.853 55.807 46.147 44.193 23.83 30.58 299 224 0.875 bicubic -53.940 -54.743 -44.957 -43.223 +13 -64
168 dpn68 regnety_120 38.933 39.367 61.067 60.633 54.933 55.343 45.067 44.657 12.61 51.82 224 0.875 bicubic -53.307 -54.693 -43.677 +43 -57
169 regnety_080 tf_inception_v3 38.917 39.350 61.083 60.650 55.213 54.373 44.787 45.627 39.18 23.83 224 299 0.875 bicubic -54.973 -53.860 -43.787 -44.347 -62 +7
170 legacy_seresnext50_32x4d densenetblur121d 38.877 39.317 61.123 60.683 54.593 56.643 45.407 43.357 27.56 8.00 224 0.875 bilinear bicubic -54.553 -53.083 -44.207 -41.777 -14 +47
171 dla102 tv_resnet101 38.833 39.300 61.167 60.700 55.327 55.850 44.673 44.150 33.27 44.55 224 0.875 bilinear -54.427 -53.580 -43.453 -42.960 -12 +22
172 regnety_040 gluon_resnet50_v1s 38.820 39.290 61.180 60.710 55.557 55.103 44.443 44.897 20.65 25.68 224 0.875 bicubic -54.800 -54.300 -43.393 -43.727 -32 -18
173 densenet121 regnety_160 38.783 39.273 61.217 60.727 56.273 55.387 43.727 44.613 7.98 83.59 224 0.875 bicubic -53.157 -54.837 -42.007 -43.623 +44 -67
174 res2net50_14w_8s densenet169 38.710 39.177 61.290 60.823 54.077 55.850 45.923 44.150 25.06 14.15 224 0.875 bilinear bicubic -54.320 -53.123 -44.623 -42.740 -3 +46
175 regnetx_040 legacy_seresnet101 38.703 39.127 61.297 60.873 55.340 55.103 44.660 44.897 22.12 49.33 224 0.875 bicubic bilinear -54.977 -54.153 -43.600 -43.647 -43 -4
176 res2net50_26w_6s regnety_080 38.687 38.977 61.313 61.023 53.743 55.187 46.257 44.813 37.05 39.18 224 0.875 bilinear bicubic -54.903 -54.923 -45.007 -43.803 -33 -57
177 regnetx_032 dpn68 38.680 38.973 61.320 61.027 55.157 54.977 44.843 45.023 15.30 12.61 224 0.875 bicubic -54.570 -53.277 -43.573 -43.623 -15 +45
178 selecsls60 efficientnet_b1_pruned 38.623 38.967 61.377 61.033 55.630 55.620 44.370 44.380 30.67 6.33 224 240 0.875 0.882 bicubic -54.387 -54.003 -43.200 -42.900 -5 +9
179 dla60x inception_v3 38.617 38.960 61.383 61.040 55.383 53.850 44.617 46.150 17.35 23.83 224 299 0.875 bilinear bicubic -54.573 -53.940 -43.327 -44.470 -13 +13
180 tf_efficientnet_b0 legacy_seresnext50_32x4d 38.600 38.890 61.400 61.110 55.957 54.650 44.043 45.350 5.29 27.56 224 0.875 bicubic bilinear -53.800 -54.510 -42.513 -44.150 +27 -13
181 dla60_res2net dla102 38.590 38.887 61.410 61.113 54.560 55.337 45.440 44.663 20.85 33.27 224 0.875 bilinear -54.790 -54.413 -44.300 -43.443 -24 -11
182 selecsls60b regnety_040 38.573 38.830 61.427 61.170 55.307 55.600 44.693 44.400 32.77 20.65 224 0.875 bicubic -54.927 -54.780 -43.533 -43.360 -32 -31
183 dla60_res2next regnetx_040 38.450 38.807 61.550 61.193 54.950 55.490 45.050 44.510 17.03 22.12 224 0.875 bilinear bicubic -55.120 -54.873 -43.850 -43.230 -39
184 regnetx_064 regnetx_032 38.430 38.763 61.570 61.237 54.990 55.147 45.010 44.853 26.21 15.30 224 0.875 bicubic -55.200 -54.507 -44.060 -43.593 -48 -11
185 tf_efficientnet_cc_b0_4e densenet121 38.413 38.753 61.587 61.247 55.150 56.247 44.850 43.753 13.31 7.98 224 0.875 bicubic -54.427 -53.187 -43.290 -42.033 +1 +43
186 gluon_resnet50_v1b res2net50_14w_8s 38.407 38.720 61.593 61.280 54.833 54.203 45.167 45.797 25.56 25.06 224 0.875 bicubic bilinear -54.153 -54.290 -43.717 -44.497 +14 -3
187 hrnet_w18 dla60_res2net 38.277 38.687 61.723 61.313 55.643 54.620 44.357 45.380 21.30 20.85 224 0.875 bilinear -54.483 -54.703 -43.017 -44.220 +2 -19
188 mixnet_l res2net50_26w_6s 38.160 38.653 61.840 61.347 54.757 53.810 45.243 46.190 7.33 37.05 224 0.875 bicubic bilinear -55.100 -54.917 -43.943 -44.940 -27 -32
189 efficientnet_b1 selecsls60 37.843 38.627 62.157 61.373 53.640 55.697 46.360 44.303 7.79 30.67 240 224 0.875 bicubic -55.217 -54.383 -44.900 -43.133 -20 -5
190 gluon_resnet50_v1c dla60x 37.843 38.610 62.157 61.390 54.123 55.490 45.877 44.510 25.58 17.35 224 0.875 bicubic bilinear -55.067 -54.600 -44.587 -42.990 -11 -13
191 res2net50_26w_4s selecsls60b 37.827 38.583 62.173 61.417 53.073 55.333 46.927 44.667 25.70 32.77 224 0.875 bilinear bicubic -55.353 -54.897 -45.597 -43.507 -24 -29
192 efficientnet_es tf_efficientnet_b0 37.770 38.540 62.230 61.460 54.967 56.077 45.033 43.923 5.44 5.29 224 0.875 bicubic -55.140 -53.860 -43.723 -42.393 -14 +26
193 resnest14d dla60_res2next 37.767 38.530 62.233 61.470 56.470 55.007 43.530 44.993 10.61 17.03 224 0.875 bilinear -53.363 -55.030 -41.860 -43.793 +45 -36
194 tv_resnext50_32x4d regnetx_064 37.750 38.507 62.250 61.493 54.113 55.030 45.887 44.970 25.03 26.21 224 0.875 bilinear bicubic -55.150 -55.143 -44.217 -44.020 -13 -47
195 res2next50 gluon_resnet50_v1b 37.477 38.457 62.523 61.543 52.853 54.907 47.147 45.093 24.67 25.56 224 0.875 bilinear bicubic -55.673 -54.093 -45.807 -43.643 -27 +17
196 resnet34 tf_efficientnet_cc_b0_4e 37.443 38.423 62.557 61.577 54.297 55.203 45.703 44.797 21.80 13.31 224 0.875 bilinear bicubic -53.757 -54.417 -43.943 -43.237 +39 +1
197 tf_efficientnet_em hrnet_w18 37.283 38.387 62.717 61.613 54.220 55.757 45.780 44.243 6.90 21.30 240 224 0.882 0.875 bicubic bilinear -56.187 -54.373 -44.530 -42.893 -45 +3
198 res2net50_48w_2s resnetv2_50x1_bitm 37.117 38.300 62.883 61.700 53.333 57.023 46.667 42.977 25.29 25.55 224 480 0.875 1.000 bilinear -55.673 -56.230 -45.137 -42.217 -10 -119
199 dla60 mixnet_l 37.073 38.230 62.927 61.770 54.200 54.847 45.800 45.153 22.04 7.33 224 0.875 bilinear bicubic -55.597 -55.050 -44.430 -43.863 -8 -27
200 rexnet_100 gluon_resnet50_v1c 37.063 37.867 62.937 62.133 54.020 54.150 45.980 45.850 4.80 25.58 224 0.875 bicubic -55.787 -55.043 -44.600 -44.560 -15 -10
201 regnety_016 efficientnet_b1 37.017 37.857 62.983 62.143 54.093 53.743 45.907 46.257 11.20 7.79 224 240 0.875 bicubic -55.983 -55.203 -44.587 -44.787 -27 -21
202 tf_mixnet_l efficientnet_es 36.987 37.837 63.013 62.163 52.583 54.980 47.417 45.020 7.33 5.44 224 0.875 bicubic -56.053 -55.093 -45.957 -43.700 -32 -13
203 legacy_seresnet50 res2net50_26w_4s 36.873 37.823 63.127 62.177 53.487 53.097 46.513 46.903 28.09 25.70 224 0.875 bilinear -55.797 -55.357 -45.163 -45.573 -11 -25
204 tv_densenet121 resnest14d 36.810 37.790 63.190 62.210 54.033 56.580 45.967 43.420 7.98 10.61 224 0.875 bicubic bilinear -54.590 -53.350 -44.217 -41.770 +24 +45
205 tf_efficientnet_lite2 tv_resnext50_32x4d 36.807 37.790 63.193 62.210 53.320 54.153 46.680 45.847 6.09 25.03 260 224 0.890 0.875 bicubic bilinear -55.783 -55.120 -45.230 -44.577 -8 -14
206 mobilenetv2_120d res2next50 36.780 37.537 63.220 62.463 54.047 52.863 45.953 47.137 5.83 24.67 224 0.875 bicubic bilinear -55.830 -55.593 -44.463 -45.797 -12 -27
207 tf_efficientnet_lite1 resnet34 36.737 37.490 63.263 62.510 53.590 54.327 46.410 45.673 5.42 21.80 240 224 0.882 0.875 bicubic bilinear -55.573 -53.700 -44.900 -43.903 +1 +40
208 regnetx_016 tf_efficientnet_em 36.683 37.313 63.317 62.687 53.297 54.230 46.703 45.770 9.19 6.90 224 240 0.875 0.882 bicubic -55.857 -56.157 -45.253 -44.520 -6 -44
209 efficientnet_b0 regnety_016 36.600 37.147 63.400 62.853 53.497 54.150 46.503 45.850 5.29 11.20 224 0.875 bicubic -55.880 -55.883 -45.183 -44.540 -6 -27
210 skresnet18 res2net50_48w_2s 36.320 37.137 63.680 62.863 54.197 53.410 45.803 46.590 11.96 25.29 224 0.875 bicubic bilinear -53.840 -55.663 -43.583 -45.050 +37 -12
211 tv_resnet50 dla60 36.177 37.117 63.823 62.883 52.803 54.293 47.197 45.707 25.56 22.04 224 0.875 bilinear -55.963 -55.573 -45.617 -44.367 +3 -10
212 legacy_seresnet34 rexnet_100 36.143 37.063 63.857 62.937 52.553 54.070 47.447 45.930 21.96 4.80 224 0.875 bilinear bicubic -55.337 -55.787 -45.647 -44.550 +12 -16
213 tv_resnet34 tf_mixnet_l 36.087 37.047 63.913 62.953 53.533 52.710 46.467 47.290 21.80 7.33 224 0.875 bilinear bicubic -54.203 -56.003 -44.447 -45.830 +33 -32
214 mobilenetv2_140 legacy_seresnet50 36.000 36.933 64.000 63.067 53.943 53.520 46.057 46.480 6.11 28.09 224 0.875 bicubic bilinear -56.030 -55.737 -44.307 -45.140 +1 -11
215 tf_efficientnet_lite0 tf_efficientnet_lite2 35.930 36.887 64.070 63.113 53.480 53.360 46.520 46.640 4.65 6.09 224 260 0.875 0.890 bicubic -55.370 -55.693 -44.610 -45.190 +15 -6
216 selecsls42b regnetx_016 35.813 36.767 64.187 63.233 52.487 53.287 47.513 46.713 32.46 9.19 224 0.875 bicubic -56.667 -55.793 -45.953 -45.223 -12 -5
217 gluon_resnet34_v1b tv_densenet121 35.763 36.753 64.237 63.247 52.187 54.003 47.813 45.997 21.80 7.98 224 0.875 bicubic -55.337 -54.637 -45.993 -44.247 +22
218 dla34 mobilenetv2_120d 35.643 36.710 64.357 63.290 52.783 53.953 47.217 46.047 15.74 5.83 224 0.875 bilinear bicubic -55.597 -55.900 -45.397 -44.567 +15 -13
219 mixnet_m tf_efficientnet_lite1 35.640 36.667 64.360 63.333 52.430 53.687 47.570 46.313 5.01 5.42 224 240 0.875 0.882 bicubic -56.630 -55.653 -45.920 -44.803 -9 0
220 efficientnet_lite0 efficientnet_b0 35.620 36.613 64.380 63.387 53.657 53.493 46.343 46.507 4.65 5.29 224 0.875 bicubic -55.640 -55.857 -44.593 -45.187 +12 -5
221 ssl_resnet18 skresnet18 35.597 36.343 64.403 63.657 53.740 54.257 46.260 45.743 11.69 11.96 224 0.875 bilinear bicubic -55.103 -53.817 -44.280 -43.523 +22 +37
222 tf_efficientnet_es legacy_seresnet34 35.563 36.150 64.437 63.850 52.790 52.543 47.210 47.457 5.44 21.96 224 0.875 bicubic bilinear -56.987 -55.320 -45.720 -45.657 -21 +14
223 mobilenetv3_rw tv_resnet50 35.547 36.143 64.453 63.857 53.713 52.873 46.287 47.127 5.48 25.56 224 0.875 bicubic bilinear -56.003 -55.987 -44.557 -45.547 0 +2
224 mobilenetv2_110d tv_resnet34 35.293 36.060 64.707 63.940 52.830 53.527 47.170 46.473 4.52 21.80 224 0.875 bicubic bilinear -56.057 -54.250 -45.360 -44.443 +5 +33
225 tf_mixnet_m tf_efficientnet_lite0 35.180 36.020 64.820 63.980 50.987 53.530 49.013 46.470 5.01 4.65 224 0.875 bicubic -57.020 -55.260 -47.433 -44.560 -12 +16
226 hrnet_w18_small_v2 mobilenetv2_140 35.173 35.980 64.827 64.020 52.440 53.927 47.560 46.073 15.60 6.11 224 0.875 bilinear bicubic -55.997 -56.060 -45.900 -44.323 +11 0
227 resnet18d selecsls42b 35.127 35.830 64.873 64.170 52.890 52.550 47.110 47.450 11.71 32.46 224 0.875 bicubic -54.863 -56.650 -44.940 -45.890 +21 -13
228 ese_vovnet19b_dw gluon_resnet34_v1b 34.840 35.747 65.160 64.253 52.030 52.290 47.970 47.710 6.54 21.80 224 0.875 bicubic -57.170 -55.343 -46.480 -45.890 -12 +22
229 regnety_008 mixnet_m 34.807 35.680 65.193 64.320 51.743 52.443 48.257 47.557 6.26 5.01 224 0.875 bicubic -57.093 -56.580 -46.677 -45.927 -11 -8
230 mobilenetv3_large_100 dla34 34.603 35.647 65.397 64.353 52.860 52.813 47.140 47.187 5.48 15.74 224 0.875 bicubic bilinear -56.877 -55.613 -45.460 -45.367 -5 +12
231 seresnext26d_32x4d efficientnet_lite0 34.543 35.643 65.457 64.357 51.543 53.697 48.457 46.303 16.81 4.65 224 0.875 bicubic -57.897 -55.617 -46.997 -44.553 -26 +12
232 seresnext26tn_32x4d ssl_resnet18 34.540 35.637 65.460 64.363 51.377 53.817 48.623 46.183 16.81 11.69 224 0.875 bicubic bilinear -58.280 -55.063 -47.183 -44.213 -45 +22
233 resnet26d mobilenetv3_rw 34.273 35.617 65.727 64.383 51.687 53.740 48.313 46.260 16.01 5.48 224 0.875 bicubic -57.957 -55.943 -46.763 -44.530 -21 +1
234 fbnetc_100 tf_efficientnet_es 34.253 35.593 65.747 64.407 51.180 52.930 48.820 47.070 5.57 5.44 224 0.875 bilinear bicubic -57.017 -56.947 -46.650 -45.580 -3 -21
235 seresnext26t_32x4d mobilenetv2_110d 34.210 35.287 65.790 64.713 51.460 52.820 48.540 47.180 16.82 4.52 224 0.875 bicubic -58.750 -56.043 -47.020 -45.370 -59 +5
236 regnety_006 hrnet_w18_small_v2 34.150 35.217 65.850 64.783 51.277 52.527 48.723 47.473 6.06 15.60 224 0.875 bicubic bilinear -57.420 -55.953 -47.153 -45.833 -14 +12
237 tf_mobilenetv3_large_100 tf_mixnet_m 33.950 35.210 66.050 64.790 51.490 50.977 48.510 49.023 5.48 5.01 224 0.875 bilinear bicubic -57.470 -56.960 -46.770 -47.443 -10 -13
238 regnetx_008 resnet18d 33.770 35.120 66.230 64.880 50.547 52.880 49.453 47.120 7.26 11.71 224 0.875 bicubic -57.410 -54.880 -47.833 -44.960 -2 +21
239 mnasnet_100 regnety_008 33.763 34.883 66.237 65.117 51.170 51.857 48.830 48.143 4.38 6.26 224 0.875 bicubic -57.437 -57.007 -46.880 -46.563 -5 -10
240 semnasnet_100 ese_vovnet19b_dw 33.520 34.837 66.480 65.163 50.787 51.990 49.213 48.010 3.89 6.54 224 0.875 bicubic -58.140 -57.183 -47.483 -46.530 -19 -13
241 resnet26 mobilenetv3_large_100 33.500 34.577 66.500 65.423 50.927 52.913 49.073 47.087 16.00 5.48 224 0.875 bicubic -57.940 -56.903 -47.353 -45.417 -15 -6
242 mixnet_s seresnext26tn_32x4d 33.480 34.567 66.520 65.433 50.997 51.470 49.003 48.530 4.13 16.81 224 0.875 bicubic -58.300 -58.203 -47.303 -47.080 -23 -43
243 spnasnet_100 seresnext26d_32x4d 33.477 34.513 66.523 65.487 51.267 51.563 48.733 48.437 4.42 16.81 224 0.875 bilinear bicubic -57.133 -57.927 -46.683 -46.977 +1 -27
244 regnetx_006 resnet26d 33.157 34.330 66.843 65.670 50.250 51.843 49.750 48.157 6.20 16.01 224 0.875 bicubic -57.603 -57.900 -47.850 -46.627 -2 -21
245 resnet18 fbnetc_100 33.067 34.323 66.933 65.677 51.170 51.240 48.830 48.760 11.69 5.57 224 0.875 bilinear -55.083 -56.937 -45.950 -46.580 +11 -1
246 legacy_seresnext26_32x4d regnety_006 32.757 34.233 67.243 65.767 49.237 51.300 50.763 48.700 16.79 6.06 224 0.875 bicubic -59.813 -57.357 -49.283 -47.130 -47 -13
247 hrnet_w18_small seresnext26t_32x4d 32.667 34.197 67.333 65.803 50.587 51.420 49.413 48.580 13.19 16.82 224 0.875 bilinear bicubic -57.213 -58.783 -47.313 -47.060 +2 -61
248 legacy_seresnet18 tf_mobilenetv3_large_100 32.600 33.990 67.400 66.010 50.340 51.530 49.660 48.470 11.78 5.48 224 0.875 bicubic bilinear -56.670 -57.420 -47.340 -46.720 +4 -10
249 mobilenetv2_100 mnasnet_100 32.523 33.850 67.477 66.150 50.800 51.247 49.200 48.753 3.50 4.38 224 0.875 bicubic -57.307 -57.350 -47.030 -46.793 +1 -3
250 regnetx_004 regnetx_008 32.517 33.720 67.483 66.280 49.343 50.587 50.657 49.413 5.16 7.26 224 0.875 bicubic -56.943 -57.490 -48.427 -47.783 +1 -5
251 gluon_resnet18_v1b resnet26 32.407 33.583 67.593 66.417 49.727 51.017 50.273 48.983 11.69 16.00 224 0.875 bicubic -56.253 -57.867 -47.373 -47.263 +3 -14
252 regnety_004 mixnet_s 32.333 33.577 67.667 66.423 49.453 51.033 50.547 48.967 4.34 4.13 224 0.875 bicubic -58.447 -58.203 -48.627 -47.267 -11 -22
253 tf_mixnet_s semnasnet_100 32.183 33.553 67.817 66.447 48.493 50.843 51.507 49.157 4.13 3.89 224 0.875 bicubic -59.497 -58.107 -49.747 -47.417 -33 -21
254 tf_mobilenetv3_large_075 spnasnet_100 31.867 33.507 68.133 66.493 49.110 51.310 50.890 48.690 3.99 4.42 224 0.875 bilinear -58.453 -57.113 -48.760 -46.640 -9 +1
255 tf_mobilenetv3_large_minimal_100 regnetx_006 31.597 33.213 68.403 66.787 49.337 50.297 50.663 49.703 3.92 6.20 224 0.875 bilinear bicubic -57.583 -57.537 -47.983 -47.803 -2
256 regnety_002 resnet18 29.687 33.043 70.313 66.957 46.787 51.133 53.213 48.867 3.16 11.69 224 0.875 bicubic bilinear -58.513 -55.127 -50.643 -45.987 -1 +11
257 regnetx_002 legacy_seresnext26_32x4d 28.860 32.747 71.140 67.253 45.420 49.207 54.580 50.793 2.68 16.79 224 0.875 bicubic -58.520 -59.833 -51.570 -49.223 0 -49
258 dla60x_c hrnet_w18_small 28.447 32.723 71.553 67.277 46.193 50.677 53.807 49.323 1.32 13.19 224 0.875 bilinear -58.663 -57.177 -50.947 -47.223 0 +2
259 tf_mobilenetv3_small_100 legacy_seresnet18 27.297 32.633 72.703 67.367 44.420 50.360 55.580 49.640 2.54 11.78 224 0.875 bilinear bicubic -58.663 -56.627 -51.980 -47.330 0 +4
260 dla46x_c mobilenetv2_100 26.217 32.580 73.783 67.420 43.780 50.860 56.220 49.140 1.07 3.50 224 0.875 bilinear bicubic -59.263 -57.260 -52.660 -46.980 0 +1
261 tf_mobilenetv3_small_075 regnetx_004 26.200 32.567 73.800 67.433 43.637 49.407 56.363 50.593 2.04 5.16 224 0.875 bilinear bicubic -58.330 -56.883 -52.253 -48.373 +1
262 dla46_c regnety_004 25.490 32.403 74.510 67.597 43.800 49.503 56.200 50.497 1.30 4.34 224 0.875 bilinear bicubic -59.170 -58.357 -52.400 -48.577 -1 -10
263 tf_mobilenetv3_small_minimal_100 gluon_resnet18_v1b 25.087 32.397 74.913 67.603 42.930 49.707 57.070 50.293 2.04 11.69 224 0.875 bilinear bicubic -57.583 -56.273 -52.070 -47.403 0 +2
264 tf_mixnet_s 32.230 67.770 48.607 51.393 4.13 224 0.875 bicubic -59.460 -49.633 -33
265 tf_mobilenetv3_large_075 31.947 68.053 49.137 50.863 3.99 224 0.875 bilinear -58.363 -48.743 -9
266 tf_mobilenetv3_large_minimal_100 31.613 68.387 49.407 50.593 3.92 224 0.875 bilinear -57.547 -47.913 -2
267 regnety_002 29.690 70.310 46.883 53.117 3.16 224 0.875 bicubic -58.530 -50.547 -1
268 regnetx_002 28.883 71.117 45.583 54.417 2.68 224 0.875 bicubic -58.487 -51.407 0
269 dla60x_c 28.527 71.473 46.257 53.743 1.32 224 0.875 bilinear -58.553 -50.883 0
270 tf_mobilenetv3_small_100 27.347 72.653 44.490 55.510 2.54 224 0.875 bilinear -58.633 -51.910 0
271 dla46x_c 26.277 73.723 43.903 56.097 1.07 224 0.875 bilinear -59.193 -52.547 0
272 tf_mobilenetv3_small_075 26.273 73.727 43.713 56.287 2.04 224 0.875 bilinear -58.257 -52.167 +1
273 dla46_c 25.490 74.510 43.953 56.047 1.30 224 0.875 bilinear -59.220 -52.257 -1
274 tf_mobilenetv3_small_minimal_100 25.110 74.890 42.987 57.013 2.04 224 0.875 bilinear -57.560 -52.013 0
275 pnasnet5large 6.983 93.017 19.613 80.387 86.06 331 0.911 bicubic -10.887 -22.507 0
276 ens_adv_inception_resnet_v2 6.550 93.450 18.623 81.377 55.85 299 0.897 bicubic -9.690 -21.767 +2
277 inception_resnet_v2 6.313 93.687 18.147 81.853 55.85 299 0.897 bicubic -10.477 -20.703 -1
278 inception_v4 5.923 94.077 16.657 83.343 42.68 299 0.875 bicubic -10.617 -20.723 -1

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results/results-imagenet-real.csv
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model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation,top1_diff,top5_diff,rank_diff
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
tf_efficientnet_b7_ns,90.100,9.900,98.614,1.386,66.35,600,0.949,bicubic,+3.260,+0.520,0
tf_efficientnet_b6_ns,89.782,10.218,98.510,1.490,43.04,528,0.942,bicubic,+3.330,+0.628,0
tf_efficientnet_b5_ns,89.651,10.349,98.482,1.518,30.39,456,0.934,bicubic,+3.563,+0.730,0
tf_efficientnet_b8_ap,89.581,10.419,98.305,1.695,87.41,672,0.954,bicubic,+4.211,+1.011,+2
tf_efficientnet_b7_ap,89.429,10.571,98.347,1.653,66.35,600,0.949,bicubic,+4.309,+1.095,+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,+5
tf_efficientnet_b4_ns,89.305,10.694,98.347,1.653,19.34,380,0.922,bicubic,+4.143,+0.877,-1
ig_resnext101_32x48d,89.120,10.880,98.130,1.870,828.41,224,0.875,bilinear,+3.692,+0.558,-5
ig_resnext101_32x32d,89.111,10.889,98.181,1.819,468.53,224,0.875,bilinear,+4.017,+0.743,0
tf_efficientnet_b7,89.086,10.914,98.183,1.817,66.35,600,0.949,bicubic,+4.150,+0.979,0
tf_efficientnet_b5_ap,88.938,11.062,98.164,1.836,30.39,456,0.934,bicubic,+4.686,+1.190,+3
ig_resnext101_32x16d,88.834,11.166,98.049,1.951,194.03,224,0.875,bilinear,+4.664,+0.853,+4
swsl_resnext101_32x8d,88.770,11.230,98.147,1.853,88.79,224,0.875,bilinear,+4.486,+0.971,0
tf_efficientnet_b6,88.761,11.239,98.064,1.937,43.04,528,0.942,bicubic,+4.651,+1.177,+3
resnest269e,88.522,11.478,98.027,1.973,110.93,416,0.928,bicubic,+4.004,+1.041,-3
resnest200e,88.432,11.568,98.042,1.958,70.20,320,0.909,bicubic,+4.600,+1.148,+3
tf_efficientnet_b3_ns,88.426,11.574,98.029,1.971,12.23,300,0.904,bicubic,+4.378,+1.119,+1
vit_large_patch16_384,88.407,11.593,98.187,1.813,304.72,384,1.000,bicubic,+3.249,+0.831,-11
vit_base_patch16_384,88.389,11.611,98.155,1.845,86.86,384,1.000,bicubic,+4.180,+0.937,-4
tf_efficientnet_b4_ap,88.349,11.651,97.893,2.107,19.34,380,0.922,bicubic,+5.101,+1.501,+2
tf_efficientnet_b5,88.321,11.679,97.912,2.088,30.39,456,0.934,bicubic,+4.509,+1.164,-1
ig_resnext101_32x8d,88.146,11.854,97.856,2.144,88.79,224,0.875,bilinear,+5.458,+1.220,+6
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,+1
tresnet_xl_448,87.796,12.204,97.459,2.541,78.44,448,0.875,bilinear,+4.746,+1.285,-1
pnasnet5large,87.636,12.364,97.485,2.515,86.06,331,0.911,bicubic,+4.854,+1.445,+1
swsl_resnext101_32x16d,87.615,12.386,97.820,2.180,194.03,224,0.875,bilinear,+4.269,+0.974,-6
swsl_resnext50_32x4d,87.600,12.400,97.651,2.349,25.03,224,0.875,bilinear,+5.418,+1.421,+5
tf_efficientnet_b2_ns,87.557,12.443,97.628,2.372,9.11,260,0.890,bicubic,+5.177,+1.380,+1
efficientnet_b3a,87.435,12.565,97.681,2.319,12.23,320,1.000,bicubic,+5.193,+1.567,+2
tresnet_l_448,87.377,12.623,97.485,2.515,55.99,448,0.875,bilinear,+5.110,+1.509,0
nasnetalarge,87.350,12.650,97.417,2.583,88.75,331,0.911,bicubic,+4.730,+1.371,-3
efficientnet_b3,87.313,12.687,97.602,2.398,12.23,300,0.904,bicubic,+5.237,+1.582,+2
ecaresnet101d,87.288,12.712,97.562,2.438,44.57,224,0.875,bicubic,+5.116,+1.516,0
resnest101e,87.284,12.716,97.560,2.440,48.28,256,0.875,bilinear,+4.394,+1.240,-9
regnety_032,87.258,12.742,97.525,2.474,19.44,224,0.875,bicubic,+5.256,+1.619,+1
tresnet_xl,87.224,12.776,97.400,2.600,78.44,224,0.875,bilinear,+5.170,+1.463,-1
tf_efficientnet_b3_ap,87.192,12.808,97.380,2.620,12.23,300,0.904,bicubic,+5.370,+1.756,+1
vit_base_patch32_384,87.019,12.981,97.654,2.346,88.30,384,1.000,bicubic,+5.367,+1.526,+2
ssl_resnext101_32x16d,86.856,13.143,97.517,2.483,194.03,224,0.875,bilinear,+5.013,+1.421,-2
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
tresnet_m_448,86.820,13.180,97.212,2.788,31.39,448,0.875,bilinear,+5.106,+1.640,-3
ssl_resnext101_32x8d,86.807,13.193,97.466,2.534,88.79,224,0.875,bilinear,+5.191,+1.428,0
swsl_resnet50,86.807,13.193,97.498,2.502,25.56,224,0.875,bilinear,+5.641,+1.526,+8
tf_efficientnet_lite4,86.803,13.197,97.263,2.737,13.01,380,0.920,bilinear,+5.267,+1.595,-1
tresnet_l,86.767,13.233,97.271,2.729,55.99,224,0.875,bilinear,+5.277,+1.647,0
seresnext50_32x4d,86.699,13.301,97.214,2.786,27.56,224,0.875,bicubic,+5.433,+1.594,+3
tf_efficientnet_b1_ns,86.669,13.331,97.378,2.622,7.79,240,0.882,bicubic,+5.281,+1.640,0
wide_resnet50_2,86.647,13.353,97.214,2.786,68.88,224,0.875,bicubic,+5.191,+1.682,-2
resnest50d_4s2x40d,86.592,13.408,97.269,2.731,30.42,224,0.875,bicubic,+5.484,+1.711,+3
efficientnet_b3_pruned,86.581,13.419,97.190,2.810,9.86,300,0.904,bicubic,+5.723,+1.948,+9
ssl_resnext101_32x4d,86.479,13.521,97.468,2.532,44.18,224,0.875,bilinear,+5.555,+1.740,+5
ecaresnet50d,86.470,13.530,97.186,2.814,25.58,224,0.875,bicubic,+5.878,+1.866,+13
gluon_resnet152_v1s,86.468,13.532,97.109,2.891,60.32,224,0.875,bicubic,+5.452,+1.697,0
resnest50d_1s4x24d,86.447,13.553,97.148,2.852,25.68,224,0.875,bicubic,+5.459,+1.826,0
legacy_senet154,86.342,13.658,96.928,3.072,115.09,224,0.875,bilinear,+5.032,+1.432,-7
efficientnet_b2a,86.304,13.696,96.990,3.010,9.11,288,1.000,bicubic,+5.692,+1.672,+7
gluon_senet154,86.278,13.722,96.949,3.051,115.09,224,0.875,bicubic,+5.044,+1.601,-7
resnest50d,86.240,13.761,97.073,2.927,27.48,224,0.875,bilinear,+5.266,+1.695,-3
ecaresnet101d_pruned,86.210,13.790,97.335,2.665,24.88,224,0.875,bicubic,+5.392,+1.707,+1
tresnet_m,86.199,13.801,96.667,3.333,31.39,224,0.875,bilinear,+5.397,+1.807,+2
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,+14
tf_efficientnet_el,86.148,13.852,96.987,3.013,10.59,300,0.904,bicubic,+5.708,+1.823,+7
inception_resnet_v2,86.133,13.867,97.043,2.957,55.84,299,0.897,bicubic,+5.675,+1.737,+5
ssl_resnext50_32x4d,86.086,13.914,97.212,2.788,25.03,224,0.875,bilinear,+5.768,+1.806,+10
efficientnet_b2,86.056,13.944,96.917,3.083,9.11,260,0.875,bicubic,+5.664,+1.841,+6
gluon_resnet101_v1s,86.054,13.946,97.022,2.978,44.67,224,0.875,bicubic,+5.752,+1.862,+10
ecaresnetlight,86.052,13.948,97.069,2.931,30.16,224,0.875,bicubic,+5.590,+1.821,0
gluon_seresnext101_32x4d,86.032,13.968,96.977,3.023,48.96,224,0.875,bicubic,+5.128,+1.683,-13
resnet50d,86.009,13.991,96.979,3.021,25.58,224,0.875,bicubic,+5.479,+1.819,-5
tf_efficientnet_b2_ap,85.975,14.025,96.810,3.190,9.11,260,0.890,bicubic,+5.675,+1.782,+7
gluon_seresnext101_64x4d,85.960,14.040,96.979,3.021,88.23,224,0.875,bicubic,+5.066,+1.671,-15
gluon_resnet152_v1d,85.917,14.083,96.812,3.188,60.21,224,0.875,bicubic,+5.443,+1.606,-6
vit_large_patch32_384,85.909,14.091,97.368,2.632,306.63,384,1.000,bicubic,+4.403,+1.275,-31
tf_efficientnet_b2,85.902,14.098,96.862,3.139,9.11,260,0.890,bicubic,+5.816,+1.954,+11
seresnet50,85.857,14.143,97.004,2.995,28.09,224,0.875,bicubic,+5.583,+1.934,+4
gluon_resnet101_v1d,85.849,14.151,96.663,3.337,44.57,224,0.875,bicubic,+5.435,+1.649,-6
resnet50,85.804,14.196,96.712,3.288,25.56,224,0.875,bicubic,+6.766,+2.322,+55
mixnet_xl,85.798,14.202,96.712,3.288,11.90,224,0.875,bicubic,+5.322,+1.776,-13
ens_adv_inception_resnet_v2,85.781,14.220,96.759,3.241,55.84,299,0.897,bicubic,+5.799,+1.823,+10
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,+33
gluon_resnext101_32x4d,85.746,14.254,96.635,3.365,44.18,224,0.875,bicubic,+5.412,+1.709,-9
legacy_seresnext101_32x4d,85.746,14.254,96.757,3.243,48.96,224,0.875,bilinear,+5.518,+1.739,-2
cspresnext50,85.740,14.260,96.840,3.160,20.57,224,0.875,bilinear,+5.700,+1.896,+3
regnety_320,85.727,14.273,96.725,3.275,145.05,224,0.875,bicubic,+4.915,+1.481,-26
cspresnet50,85.721,14.279,96.795,3.205,21.62,256,0.887,bilinear,+6.147,+2.083,+20
xception71,85.697,14.303,96.776,3.224,42.34,299,0.903,bicubic,+5.823,+1.854,+7
gluon_resnext101_64x4d,85.693,14.307,96.644,3.356,83.46,224,0.875,bicubic,+5.089,+1.656,-26
efficientnet_em,85.684,14.316,96.938,3.062,6.90,240,0.882,bicubic,+6.432,+2.144,+32
efficientnet_b2_pruned,85.642,14.358,96.746,3.254,8.31,260,0.890,bicubic,+5.726,+1.890,+1
dpn107,85.640,14.360,96.729,3.271,86.92,224,0.875,bicubic,+5.484,+1.819,-8
gluon_resnet152_v1c,85.580,14.420,96.646,3.354,60.21,224,0.875,bicubic,+5.670,+1.806,-1
ecaresnet50d_pruned,85.580,14.420,96.936,3.064,19.94,224,0.875,bicubic,+5.864,+2.056,+8
resnext50d_32x4d,85.569,14.431,96.748,3.252,25.05,224,0.875,bicubic,+5.893,+1.882,+9
regnety_120,85.543,14.457,96.785,3.215,51.82,224,0.875,bicubic,+5.177,+1.659,-23
regnetx_320,85.524,14.476,96.669,3.331,107.81,224,0.875,bicubic,+5.278,+1.643,-16
regnety_160,85.501,14.499,96.620,3.380,83.59,224,0.875,bicubic,+5.205,+1.658,-19
dpn92,85.494,14.506,96.635,3.365,37.67,224,0.875,bicubic,+5.486,+1.799,-10
gluon_resnet152_v1b,85.475,14.525,96.550,3.450,60.19,224,0.875,bicubic,+5.789,+1.814,+3
rexnet_130,85.473,14.527,96.684,3.316,7.56,224,0.875,bicubic,+5.973,+2.002,+9
dpn131,85.398,14.602,96.639,3.361,79.25,224,0.875,bicubic,+5.576,+1.929,-5
regnetx_160,85.390,14.610,96.637,3.363,54.28,224,0.875,bicubic,+5.534,+1.807,-7
dla102x2,85.366,14.634,96.629,3.371,41.28,224,0.875,bilinear,+5.918,+1.989,+8
gluon_seresnext50_32x4d,85.336,14.664,96.667,3.333,27.56,224,0.875,bicubic,+5.418,+1.845,-14
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,-22
dpn98,85.311,14.689,96.469,3.531,61.57,224,0.875,bicubic,+5.669,+1.871,-3
gluon_resnet101_v1c,85.304,14.696,96.405,3.595,44.57,224,0.875,bicubic,+5.770,+1.827,0
dpn68b,85.291,14.709,96.464,3.536,12.61,224,0.875,bicubic,+6.075,+2.050,+15
regnety_064,85.283,14.717,96.639,3.361,30.58,224,0.875,bicubic,+5.561,+1.871,-11
resnetblur50,85.283,14.717,96.531,3.470,25.56,224,0.875,bicubic,+5.997,+1.893,+8
regnety_080,85.245,14.755,96.633,3.367,39.18,224,0.875,bicubic,+5.369,+1.803,-19
resnext50_32x4d,85.221,14.779,96.526,3.474,25.03,224,0.875,bicubic,+5.453,+1.928,-15
resnext101_32x8d,85.187,14.813,96.445,3.555,88.79,224,0.875,bilinear,+5.879,+1.927,+1
gluon_inception_v3,85.183,14.817,96.526,3.474,23.83,299,0.875,bicubic,+6.377,+2.156,+23
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,+5.432,+1.737,-16
gluon_resnet101_v1b,85.142,14.858,96.366,3.634,44.55,224,0.875,bicubic,+5.836,+1.842,-1
regnetx_120,85.131,14.869,96.477,3.523,46.11,224,0.875,bicubic,+5.535,+1.739,-14
xception,85.129,14.871,96.471,3.529,22.86,299,0.897,bicubic,+6.077,+2.079,+11
tf_efficientnet_b1_ap,85.127,14.873,96.405,3.595,7.79,240,0.882,bicubic,+5.847,+2.099,-1
hrnet_w64,85.119,14.881,96.744,3.256,128.06,224,0.875,bilinear,+5.645,+2.092,-12
ssl_resnet50,85.097,14.903,96.866,3.134,25.56,224,0.875,bilinear,+5.875,+2.034,-1
res2net101_26w_4s,85.093,14.907,96.381,3.619,45.21,224,0.875,bilinear,+5.895,+2.013,+1
tf_efficientnet_cc_b1_8e,85.063,14.937,96.422,3.578,39.72,240,0.882,bicubic,+5.755,+2.052,-9
res2net50_26w_8s,85.029,14.971,96.419,3.580,48.40,224,0.875,bilinear,+5.831,+1.987,0
vit_base_patch16_224,85.027,14.973,96.511,3.489,86.54,224,0.900,bicubic,+5.679,+1.999,-14
resnest26d,85.008,14.992,96.637,3.363,17.07,224,0.875,bilinear,+6.530,+2.339,+22
gluon_resnext50_32x4d,84.995,15.005,96.426,3.574,25.03,224,0.875,bicubic,+5.641,+2.000,-17
tf_efficientnet_b0_ns,84.984,15.016,96.503,3.497,5.29,224,0.875,bicubic,+6.326,+2.127,+15
regnety_040,84.948,15.052,96.612,3.388,20.65,224,0.875,bicubic,+5.728,+1.956,-8
tf_efficientnet_em,84.926,15.074,96.424,3.576,6.90,240,0.882,bicubic,+6.218,+2.110,+9
dla169,84.920,15.080,96.535,3.465,53.39,224,0.875,bilinear,+6.232,+2.199,+10
tf_efficientnet_b1,84.918,15.082,96.364,3.636,7.79,240,0.882,bicubic,+6.092,+2.166,+3
legacy_seresnext50_32x4d,84.901,15.099,96.434,3.566,27.56,224,0.875,bilinear,+5.823,+1.998,-7
hrnet_w44,84.884,15.116,96.434,3.566,67.06,224,0.875,bilinear,+5.988,+2.066,-1
regnetx_080,84.862,15.138,96.434,3.566,39.57,224,0.875,bicubic,+5.668,+1.874,-10
gluon_resnet50_v1s,84.860,15.140,96.443,3.557,25.68,224,0.875,bicubic,+6.150,+2.205,+2
gluon_resnet50_v1d,84.832,15.168,96.398,3.602,25.58,224,0.875,bicubic,+5.758,+1.928,-10
dla60_res2next,84.830,15.170,96.411,3.589,17.03,224,0.875,bilinear,+6.390,+2.259,+13
mixnet_l,84.822,15.178,96.328,3.672,7.33,224,0.875,bicubic,+5.846,+2.146,-8
tv_resnet152,84.815,15.185,96.225,3.775,60.19,224,0.875,bilinear,+6.503,+2.187,+14
dla60_res2net,84.813,15.187,96.481,3.519,20.85,224,0.875,bilinear,+6.349,+2.275,+8
dla102x,84.813,15.187,96.552,3.448,26.31,224,0.875,bilinear,+6.303,+2.324,+4
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,-16
hrnet_w40,84.743,15.257,96.554,3.446,57.56,224,0.875,bilinear,+5.823,+2.084,-13
res2net50_26w_6s,84.726,15.274,96.281,3.719,37.05,224,0.875,bilinear,+6.156,+2.157,-2
legacy_seresnet152,84.704,15.296,96.417,3.583,66.82,224,0.875,bilinear,+6.044,+2.047,-5
selecsls60b,84.657,15.343,96.300,3.700,32.77,224,0.875,bicubic,+6.245,+2.126,+4
hrnet_w32,84.651,15.349,96.407,3.593,41.23,224,0.875,bilinear,+6.201,+2.221,+1
regnetx_040,84.600,15.400,96.383,3.617,22.12,224,0.875,bicubic,+6.118,+2.139,-3
efficientnet_es,84.591,15.409,96.311,3.689,5.44,224,0.875,bicubic,+6.525,+2.385,+10
hrnet_w30,84.572,15.428,96.388,3.612,37.71,224,0.875,bilinear,+6.366,+2.165,+6
tf_mixnet_l,84.564,15.437,96.244,3.756,7.33,224,0.875,bicubic,+5.790,+2.246,-16
wide_resnet101_2,84.557,15.443,96.349,3.651,126.89,224,0.875,bilinear,+5.701,+2.067,-20
efficientnet_b1,84.531,15.469,96.153,3.847,7.79,240,0.875,bicubic,+5.833,+2.009,-15
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,-4
efficientnet_b1_pruned,84.393,15.607,96.140,3.860,6.33,240,0.882,bicubic,+6.157,+2.306,-1
res2net50_26w_4s,84.365,15.635,96.082,3.918,25.70,224,0.875,bilinear,+6.401,+2.228,+8
res2net50_14w_8s,84.309,15.691,96.072,3.929,25.06,224,0.875,bilinear,+6.159,+2.224,0
selecsls60,84.288,15.712,96.095,3.905,30.67,224,0.875,bicubic,+6.306,+2.267,+5
regnetx_032,84.237,15.763,96.247,3.753,15.30,224,0.875,bicubic,+6.065,+2.159,-3
res2next50,84.226,15.774,95.997,4.003,24.67,224,0.875,bilinear,+5.980,+2.105,-7
gluon_resnet50_v1c,84.207,15.793,96.161,3.839,25.58,224,0.875,bicubic,+6.195,+2.173,-1
dla102,84.190,15.810,96.206,3.794,33.27,224,0.875,bilinear,+6.158,+2.260,-3
rexnet_100,84.162,15.838,96.255,3.745,4.80,224,0.875,bicubic,+6.304,+2.385,+5
tf_inception_v3,84.141,15.859,95.920,4.080,23.83,299,0.875,bicubic,+6.279,+2.280,+3
res2net50_48w_2s,84.126,15.874,95.965,4.035,25.29,224,0.875,bilinear,+6.604,+2.411,+11
resnet34d,84.098,15.902,95.978,4.022,21.82,224,0.875,bicubic,+6.982,+2.596,+21
tf_efficientnet_lite2,84.094,15.906,96.069,3.931,6.09,260,0.890,bicubic,+6.626,+2.315,+10
efficientnet_b0,84.038,15.962,95.956,4.044,5.29,224,0.875,bicubic,+6.340,+2.424,+2
seresnext26t_32x4d,84.004,15.996,95.852,4.148,16.82,224,0.875,bicubic,+6.006,+2.144,-8
tf_efficientnet_cc_b0_8e,83.966,16.034,96.065,3.935,24.01,224,0.875,bicubic,+6.058,+2.411,-5
tv_resnext50_32x4d,83.959,16.041,95.960,4.040,25.03,224,0.875,bilinear,+6.339,+2.264,+1
regnety_016,83.955,16.045,96.005,3.995,11.20,224,0.875,bicubic,+6.093,+2.285,-6
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,+6
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,+7
seresnext26tn_32x4d,83.878,16.122,95.931,4.069,16.81,224,0.875,bicubic,+5.892,+2.185,-15
tv_resnet101,83.848,16.152,95.892,4.108,44.55,224,0.875,bilinear,+6.474,+2.352,+1
inception_v3,83.761,16.239,95.879,4.121,23.83,299,0.875,bicubic,+6.323,+2.403,-1
seresnext26d_32x4d,83.754,16.246,95.849,4.151,16.81,224,0.875,bicubic,+6.152,+2.241,-7
vit_small_patch16_224,83.735,16.265,95.758,4.242,48.75,224,0.900,bicubic,+5.877,+2.342,-12
dla60,83.729,16.271,95.933,4.067,22.04,224,0.875,bilinear,+6.697,+2.615,+8
legacy_seresnet50,83.662,16.337,95.973,4.027,28.09,224,0.875,bilinear,+6.032,+2.225,-12
tf_efficientnet_b0_ap,83.650,16.350,95.779,4.221,5.29,224,0.875,bicubic,+6.564,+2.523,+5
tf_efficientnet_es,83.647,16.352,95.939,4.061,5.44,224,0.875,bicubic,+6.389,+2.345,0
skresnet34,83.641,16.359,95.933,4.067,22.28,224,0.875,bicubic,+6.729,+2.611,+7
tf_efficientnet_cc_b0_4e,83.639,16.361,95.740,4.260,13.31,224,0.875,bicubic,+6.333,+2.406,-6
densenet201,83.556,16.444,95.811,4.189,20.01,224,0.875,bicubic,+6.270,+2.333,-6
legacy_seresnext26_32x4d,83.517,16.483,95.719,4.281,16.79,224,0.875,bicubic,+6.413,+2.403,-1
mixnet_m,83.515,16.485,95.689,4.311,5.01,224,0.875,bicubic,+6.255,+2.265,-6
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,+6.884,+2.630,+6
selecsls42b,83.457,16.543,95.745,4.255,32.46,224,0.875,bicubic,+6.284,+2.355,-8
tf_efficientnet_lite1,83.344,16.656,95.642,4.358,5.42,240,0.882,bicubic,+6.702,+2.416,+3
regnetx_016,83.195,16.805,95.740,4.260,9.19,224,0.875,bicubic,+6.245,+2.320,-5
mobilenetv2_140,83.182,16.818,95.689,4.311,6.11,224,0.875,bicubic,+6.666,+2.693,+3
dpn68,83.178,16.822,95.597,4.402,12.61,224,0.875,bicubic,+6.860,+2.620,+3
tf_mixnet_m,83.176,16.824,95.461,4.539,5.01,224,0.875,bicubic,+6.234,+2.309,-7
ese_vovnet19b_dw,83.109,16.890,95.779,4.221,6.54,224,0.875,bicubic,+6.311,+2.511,-5
resnet26d,83.050,16.950,95.604,4.396,16.01,224,0.875,bicubic,+6.354,+2.454,-4
tv_resnet50,82.958,17.042,95.467,4.533,25.56,224,0.875,bilinear,+6.820,+2.603,+1
densenet121,82.823,17.177,95.585,4.415,7.98,224,0.875,bicubic,+7.245,+2.933,+6
densenet169,82.683,17.317,95.600,4.400,14.15,224,0.875,bicubic,+6.776,+2.574,+1
mixnet_s,82.525,17.476,95.356,4.644,4.13,224,0.875,bicubic,+6.532,+2.560,-1
regnety_008,82.493,17.508,95.487,4.513,6.26,224,0.875,bicubic,+6.177,+2.421,-4
efficientnet_lite0,82.382,17.619,95.279,4.721,4.65,224,0.875,bicubic,+6.898,+2.769,+5
resnest14d,82.349,17.651,95.339,4.661,10.61,224,0.875,bilinear,+6.845,+2.821,+3
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
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,+6
mobilenetv2_110d,82.070,17.930,95.076,4.923,4.52,224,0.875,bicubic,+7.034,+2.890,+7
tf_mixnet_s,82.038,17.962,95.121,4.879,4.13,224,0.875,bicubic,+6.388,+2.491,-7
hrnet_w18_small_v2,81.961,18.039,95.164,4.836,15.60,224,0.875,bilinear,+6.847,+2.748,+2
tf_efficientnet_lite0,81.952,18.048,95.168,4.832,4.65,224,0.875,bicubic,+7.122,+2.992,+5
resnet26,81.944,18.056,95.241,4.759,16.00,224,0.875,bicubic,+6.652,+2.671,-3
tf_mobilenetv3_large_100,81.848,18.152,95.070,4.930,5.48,224,0.875,bilinear,+6.330,+2.464,-8
tv_densenet121,81.726,18.274,95.034,4.966,7.98,224,0.875,bicubic,+6.988,+2.884,+4
regnety_006,81.700,18.300,95.115,4.885,6.06,224,0.875,bicubic,+6.454,+2.583,-5
dla34,81.658,18.342,94.878,5.122,15.74,224,0.875,bilinear,+7.028,+2.800,+4
fbnetc_100,81.559,18.441,94.970,5.030,5.57,224,0.875,bilinear,+6.436,+2.584,-6
legacy_seresnet34,81.534,18.466,94.899,5.101,21.96,224,0.875,bilinear,+6.726,+2.775,-1
gluon_resnet34_v1b,81.500,18.500,94.810,5.190,21.80,224,0.875,bicubic,+6.912,+2.820,+2
regnetx_008,81.485,18.515,95.059,4.941,7.26,224,0.875,bicubic,+6.447,+2.724,-6
mnasnet_100,81.459,18.541,94.899,5.101,4.38,224,0.875,bicubic,+6.801,+2.785,-2
spnasnet_100,80.878,19.122,94.526,5.474,4.42,224,0.875,bilinear,+6.794,+2.708,0
regnety_004,80.659,19.341,94.686,5.314,4.34,224,0.875,bicubic,+6.625,+2.934,0
skresnet18,80.637,19.363,94.378,5.622,11.96,224,0.875,bicubic,+7.599,+3.210,+4
regnetx_006,80.629,19.371,94.524,5.476,6.20,224,0.875,bicubic,+6.777,+2.852,-1
swsl_resnet18,80.575,19.425,94.743,5.256,11.69,224,0.875,bilinear,+7.299,+3.010,+1
tv_resnet34,80.389,19.611,94.436,5.564,21.80,224,0.875,bilinear,+7.077,+3.010,-1
resnet18d,80.387,19.613,94.252,5.748,11.71,224,0.875,bicubic,+8.127,+3.556,+5
mobilenetv2_100,80.257,19.743,94.195,5.805,3.50,224,0.875,bicubic,+7.287,+3.179,0
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,-6
hrnet_w18_small,79.555,20.445,93.898,6.102,13.19,224,0.875,bilinear,+7.213,+3.220,0
regnetx_004,79.435,20.565,93.853,6.147,5.16,224,0.875,bicubic,+7.039,+3.023,-2
tf_mobilenetv3_large_minimal_100,79.222,20.778,93.706,6.294,3.92,224,0.875,bilinear,+6.974,+3.076,0
legacy_seresnet18,79.153,20.847,93.783,6.217,11.78,224,0.875,bicubic,+7.411,+3.449,0
gluon_resnet18_v1b,78.372,21.628,93.138,6.862,11.69,224,0.875,bicubic,+7.536,+3.376,0
regnety_002,77.405,22.595,92.914,7.086,3.16,224,0.875,bicubic,+7.153,+3.374,0
resnet18,77.276,22.724,92.756,7.244,11.69,224,0.875,bilinear,+7.528,+3.678,0
regnetx_002,76.124,23.876,92.211,7.789,2.68,224,0.875,bicubic,+7.362,+3.655,0
dla60x_c,75.637,24.363,92.177,7.823,1.32,224,0.875,bilinear,+7.745,+3.751,+1
tf_mobilenetv3_small_100,74.717,25.283,91.257,8.743,2.54,224,0.875,bilinear,+6.795,+3.593,-1
dla46x_c,73.647,26.353,91.095,8.905,1.07,224,0.875,bilinear,+7.677,+4.115,0
tf_mobilenetv3_small_075,72.812,27.188,90.036,9.964,2.04,224,0.875,bilinear,+7.096,+3.906,0
dla46_c,72.603,27.397,90.499,9.501,1.30,224,0.875,bilinear,+7.737,+4.207,0
tf_mobilenetv3_small_minimal_100,70.111,29.889,88.505,11.495,2.04,224,0.875,bilinear,+7.205,+4.275,0
tf_efficientnet_l2_ns,90.572,9.428,98.779,1.221,480.31,800,0.960,bicubic,+6.208,+1.739,-2
tf_efficientnet_l2_ns_475,90.525,9.475,98.706,1.294,480.31,475,0.936,bicubic,+6.785,+1.936,-2
tf_efficientnet_b7_ns,90.134,9.866,98.617,1.383,66.35,600,0.949,bicubic,+1.784,-0.040,-2
tf_efficientnet_b6_ns,89.767,10.233,98.503,1.497,43.04,528,0.942,bicubic,+1.527,-0.047,-2
tf_efficientnet_b5_ns,89.658,10.342,98.488,1.512,30.39,456,0.934,bicubic,+2.830,+0.404,-2
tf_efficientnet_b8_ap,89.589,10.411,98.300,1.700,87.41,672,0.954,bicubic,+3.511,+0.548,-1
tf_efficientnet_b7_ap,89.419,10.581,98.343,1.657,66.35,600,0.949,bicubic,+4.253,+0.981,+2
tf_efficientnet_b8,89.340,10.660,98.305,1.695,87.41,672,0.954,bicubic,+3.916,+0.727,-2
tf_efficientnet_b6_ap,89.338,10.662,98.281,1.719,43.04,528,0.942,bicubic,+4.390,+0.831,+5
tf_efficientnet_b4_ns,89.325,10.675,98.352,1.648,19.34,380,0.922,bicubic,+3.975,+0.962,-2
ig_resnext101_32x32d,89.115,10.885,98.181,1.819,468.53,224,0.875,bilinear,+3.965,+0.711,-1
ig_resnext101_32x48d,89.111,10.889,98.125,1.875,828.41,224,0.875,bilinear,+2.663,+0.245,-8
tf_efficientnet_b7,89.088,10.912,98.179,1.821,66.35,600,0.949,bicubic,+4.102,+0.883,0
tf_efficientnet_b5_ap,88.934,11.066,98.168,1.832,30.39,456,0.934,bicubic,+4.664,+0.998,+6
ig_resnext101_32x16d,88.817,11.184,98.049,1.951,194.03,224,0.875,bilinear,+4.614,+0.831,+7
vit_base_resnet50_384,88.804,11.196,98.241,1.759,98.95,384,1.000,bicubic,+3.684,+0.991,-5
seresnet152d_320,88.797,11.203,98.172,1.828,66.84,320,1.000,bicubic,+4.393,+0.738,+19
tf_efficientnet_b6,88.759,11.241,98.066,1.934,43.04,528,0.942,bicubic,+4.595,+0.872,+6
swsl_resnext101_32x8d,88.748,11.252,98.138,1.862,88.79,224,0.875,bilinear,+4.366,+0.772,+1
resnetv2_152x2_bitm,88.656,11.344,98.320,1.680,236.34,480,1.000,bilinear,+3.870,+1.182,-3
resnetv2_152x4_bitm,88.556,11.444,98.185,1.815,936.53,480,1.000,bilinear,+3.466,+0.745,-8
resnet200d_320,88.528,11.472,97.957,2.043,64.69,320,1.000,bicubic,+4.484,+1.047,+4
resnest269e,88.526,11.474,98.021,1.979,110.93,416,0.928,bicubic,+3.592,+0.817,-7
resnetv2_101x3_bitm,88.443,11.557,98.164,1.836,387.93,480,1.000,bilinear,+3.917,+1.178,-6
tf_efficientnet_b3_ns,88.439,11.561,98.031,1.968,12.23,300,0.904,bicubic,+4.325,+1.144,0
resnest200e,88.421,11.579,98.049,1.951,70.20,320,0.909,bicubic,+4.454,+1.231,+1
vit_large_patch16_384,88.407,11.593,98.187,1.813,304.72,384,1.000,bicubic,+3.033,+0.889,-19
vit_base_patch16_384,88.385,11.615,98.149,1.851,86.86,384,1.000,bicubic,+4.131,+1.175,-6
seresnet152d,88.379,11.621,98.036,1.964,66.84,256,0.940,bicubic,+4.627,+0.916,+29
tf_efficientnet_b4_ap,88.349,11.651,97.891,2.109,19.34,380,0.922,bicubic,+5.093,+1.497,+4
resnet152d_320,88.347,11.653,97.929,2.071,60.21,320,1.000,bicubic,+4.681,+1.195,+1
tf_efficientnet_b5,88.313,11.687,97.914,2.086,30.39,456,0.934,bicubic,+4.461,+1.024,-3
resnetv2_50x3_bitm,88.308,11.692,98.113,1.887,217.32,480,1.000,bilinear,+4.500,+1.367,-3
ig_resnext101_32x8d,88.150,11.850,97.861,2.139,88.79,224,0.875,bilinear,+5.454,+1.217,+9
swsl_resnext101_32x4d,88.086,11.914,97.974,2.026,44.18,224,0.875,bilinear,+4.864,+1.206,+1
resnet152d,87.986,12.014,97.709,2.291,60.21,256,0.940,bicubic,+4.852,+1.359,+1
tf_efficientnet_b4,87.960,12.040,97.737,2.263,19.34,380,0.922,bicubic,+4.934,+1.439,+3
resnet101d_320,87.948,12.052,97.903,2.097,44.57,320,1.000,bicubic,+4.924,+1.447,+3
resnet200d,87.943,12.057,97.773,2.227,64.69,256,0.940,bicubic,+4.701,+1.285,-4
tresnet_xl_448,87.794,12.206,97.468,2.532,78.44,448,0.875,bilinear,+4.738,+1.282,-1
resnetv2_101x1_bitm,87.634,12.366,97.953,2.047,44.54,480,1.000,bilinear,+5.420,+1.480,+8
swsl_resnext101_32x16d,87.602,12.398,97.820,2.180,194.03,224,0.875,bilinear,+4.258,+0.980,-9
swsl_resnext50_32x4d,87.597,12.403,97.651,2.349,25.03,224,0.875,bilinear,+5.425,+1.419,+8
tf_efficientnet_b2_ns,87.561,12.439,97.626,2.374,9.11,260,0.890,bicubic,+5.169,+1.388,+1
efficientnet_b3a,87.452,12.548,97.679,2.321,12.23,320,1.000,bicubic,+5.198,+1.565,+3
resnet101d,87.386,12.614,97.572,2.428,44.57,256,0.940,bicubic,+5.076,+1.508,0
tresnet_l_448,87.373,12.627,97.485,2.515,55.99,448,0.875,bilinear,+5.113,+1.507,0
nasnetalarge,87.350,12.650,97.412,2.588,88.75,331,0.911,bicubic,+4.724,+1.362,-4
efficientnet_b3,87.328,12.672,97.605,2.396,12.23,300,0.904,bicubic,+5.246,+1.578,+3
ecaresnet101d,87.286,12.714,97.562,2.438,44.57,224,0.875,bicubic,+5.110,+1.506,0
resnest101e,87.262,12.738,97.558,2.442,48.28,256,0.875,bilinear,+4.384,+1.244,-9
regnety_032,87.254,12.746,97.521,2.479,19.44,224,0.875,bicubic,+5.246,+1.609,+2
tresnet_xl,87.224,12.776,97.400,2.600,78.44,224,0.875,bilinear,+5.170,+1.468,0
tf_efficientnet_b3_ap,87.196,12.804,97.382,2.618,12.23,300,0.904,bicubic,+5.374,+1.762,+2
vit_base_patch32_384,87.014,12.986,97.656,2.344,88.30,384,1.000,bicubic,+5.358,+1.526,+4
vit_large_patch16_224,86.993,13.007,97.692,2.308,304.33,224,0.900,bicubic,+3.933,+1.248,-18
rexnet_200,86.854,13.146,97.282,2.718,16.37,224,0.875,bicubic,+5.228,+1.610,+4
ssl_resnext101_32x16d,86.844,13.156,97.519,2.481,194.03,224,0.875,bilinear,+5.006,+1.427,-3
tf_efficientnet_b3,86.842,13.158,97.293,2.707,12.23,300,0.904,bicubic,+5.196,+1.571,+1
tresnet_m_448,86.816,13.184,97.205,2.795,31.39,448,0.875,bilinear,+5.098,+1.639,-2
ssl_resnext101_32x8d,86.803,13.197,97.466,2.534,88.79,224,0.875,bilinear,+5.197,+1.422,+1
tf_efficientnet_lite4,86.801,13.199,97.254,2.746,13.01,380,0.920,bilinear,+5.265,+1.594,+1
swsl_resnet50,86.790,13.210,97.493,2.507,25.56,224,0.875,bilinear,+5.654,+1.519,+7
vit_base_patch16_224,86.758,13.242,97.440,2.560,86.57,224,0.900,bicubic,+4.974,+1.314,-7
tresnet_l,86.754,13.246,97.271,2.729,55.99,224,0.875,bilinear,+5.268,+1.651,-1
seresnext50_32x4d,86.709,13.291,97.203,2.797,27.56,224,0.875,bicubic,+5.435,+1.585,+2
tf_efficientnet_b1_ns,86.684,13.316,97.380,2.620,7.79,240,0.882,bicubic,+5.298,+1.640,-1
wide_resnet50_2,86.649,13.351,97.212,2.788,68.88,224,0.875,bicubic,+5.197,+1.690,-3
resnest50d_4s2x40d,86.585,13.415,97.269,2.731,30.42,224,0.875,bicubic,+5.471,+1.715,+1
efficientnet_b3_pruned,86.585,13.415,97.186,2.814,9.86,300,0.904,bicubic,+5.727,+1.946,+9
ecaresnet50d,86.477,13.524,97.186,2.814,25.58,224,0.875,bicubic,+5.863,+1.878,+12
ssl_resnext101_32x4d,86.474,13.526,97.468,2.532,44.18,224,0.875,bilinear,+5.560,+1.734,+3
gluon_resnet152_v1s,86.449,13.551,97.120,2.880,60.32,224,0.875,bicubic,+5.431,+1.700,-1
resnest50d_1s4x24d,86.442,13.558,97.150,2.850,25.68,224,0.875,bicubic,+5.438,+1.824,-1
legacy_senet154,86.338,13.662,96.928,3.072,115.09,224,0.875,bilinear,+5.012,+1.420,-8
efficientnet_b2a,86.310,13.690,96.990,3.010,9.11,288,1.000,bicubic,+5.696,+1.672,+8
gluon_senet154,86.280,13.720,96.938,3.062,115.09,224,0.875,bicubic,+5.052,+1.586,-8
resnest50d,86.229,13.771,97.069,2.931,27.48,224,0.875,bilinear,+5.271,+1.691,-4
tresnet_m,86.190,13.810,96.667,3.333,31.39,224,0.875,bilinear,+5.386,+1.809,+1
ecaresnet101d_pruned,86.182,13.818,97.342,2.658,24.88,224,0.875,bicubic,+5.366,+1.704,-1
rexnet_150,86.163,13.837,97.066,2.934,9.73,224,0.875,bicubic,+5.853,+1.904,+13
resnetv2_50x1_bitm,86.154,13.846,97.558,2.442,25.55,480,1.000,bilinear,+5.962,+1.928,+20
tf_efficientnet_el,86.152,13.848,96.985,3.015,10.59,300,0.904,bicubic,+5.704,+1.815,+6
cspdarknet53,86.150,13.850,97.013,2.987,27.64,256,0.887,bilinear,+6.102,+1.921,+22
ssl_resnext50_32x4d,86.082,13.918,97.212,2.788,25.03,224,0.875,bilinear,+5.780,+1.800,+10
ecaresnetlight,86.043,13.957,97.073,2.927,30.16,224,0.875,bicubic,+5.585,+1.823,+2
efficientnet_b2,86.041,13.959,96.923,3.077,9.11,260,0.875,bicubic,+5.663,+1.845,+4
gluon_resnet101_v1s,86.037,13.963,97.024,2.976,44.67,224,0.875,bicubic,+5.751,+1.864,+9
gluon_seresnext101_32x4d,86.009,13.991,96.979,3.021,48.96,224,0.875,bicubic,+5.137,+1.687,-12
resnet50d,86.002,13.998,96.981,3.019,25.58,224,0.875,bicubic,+5.454,+1.823,-5
tf_efficientnet_b2_ap,85.975,14.025,96.808,3.192,9.11,260,0.890,bicubic,+5.673,+1.776,+5
gluon_seresnext101_64x4d,85.949,14.051,96.990,3.010,88.23,224,0.875,bicubic,+5.065,+1.676,-16
gluon_resnet152_v1d,85.906,14.094,96.806,3.194,60.21,224,0.875,bicubic,+5.428,+1.606,-7
tf_efficientnet_b2,85.885,14.115,96.855,3.145,9.11,260,0.890,bicubic,+5.813,+1.951,+11
seresnet50,85.836,14.164,96.998,3.002,28.09,224,0.875,bicubic,+5.578,+1.932,+4
gluon_resnet101_v1d,85.832,14.168,96.663,3.337,44.57,224,0.875,bicubic,+5.430,+1.643,-6
resnet50,85.810,14.190,96.714,3.286,25.56,224,0.875,bicubic,+6.774,+2.322,+53
mixnet_xl,85.795,14.205,96.718,3.282,11.90,224,0.875,bicubic,+5.321,+1.784,-11
tf_efficientnet_lite3,85.766,14.235,96.891,3.109,8.20,300,0.904,bilinear,+5.939,+1.983,+17
cspresnext50,85.757,14.243,96.840,3.160,20.57,224,0.875,bilinear,+5.711,+1.896,+7
ese_vovnet39b,85.748,14.252,96.900,3.100,24.57,224,0.875,bicubic,+6.436,+2.178,+33
gluon_resnext101_32x4d,85.746,14.254,96.616,3.384,44.18,224,0.875,bicubic,+5.412,+1.708,-9
legacy_seresnext101_32x4d,85.738,14.262,96.765,3.235,48.96,224,0.875,bilinear,+5.510,+1.745,-2
regnety_320,85.727,14.273,96.725,3.275,145.05,224,0.875,bicubic,+4.929,+1.479,-23
cspresnet50,85.723,14.277,96.795,3.205,21.62,256,0.887,bilinear,+6.149,+2.087,+20
gluon_resnext101_64x4d,85.701,14.299,96.641,3.358,83.46,224,0.875,bicubic,+5.072,+1.644,-24
xception71,85.695,14.305,96.774,3.226,42.34,299,0.903,bicubic,+5.811,+1.842,+5
efficientnet_em,85.693,14.307,96.941,3.059,6.90,240,0.882,bicubic,+6.429,+2.150,+31
dpn107,85.640,14.360,96.729,3.271,86.92,224,0.875,bicubic,+5.484,+1.819,-6
efficientnet_b2_pruned,85.637,14.363,96.746,3.254,8.31,260,0.890,bicubic,+5.731,+1.890,+1
ecaresnet50d_pruned,85.578,14.422,96.934,3.066,19.94,224,0.875,bicubic,+5.866,+2.058,+8
gluon_resnet152_v1c,85.578,14.422,96.650,3.350,60.21,224,0.875,bicubic,+5.664,+1.802,-2
resnext50d_32x4d,85.565,14.435,96.746,3.254,25.05,224,0.875,bicubic,+5.897,+1.880,+9
regnety_120,85.535,14.465,96.774,3.226,51.82,224,0.875,bicubic,+5.157,+1.652,-22
regnetx_320,85.524,14.476,96.667,3.333,107.81,224,0.875,bicubic,+5.270,+1.637,-15
regnety_160,85.494,14.506,96.618,3.382,83.59,224,0.875,bicubic,+5.218,+1.650,-18
dpn92,85.482,14.518,96.635,3.365,37.67,224,0.875,bicubic,+5.492,+1.791,-9
gluon_resnet152_v1b,85.467,14.533,96.556,3.444,60.19,224,0.875,bicubic,+5.775,+1.822,+3
rexnet_130,85.467,14.533,96.684,3.316,7.56,224,0.875,bicubic,+5.973,+2.010,+9
dpn131,85.403,14.597,96.646,3.354,79.25,224,0.875,bicubic,+5.577,+1.934,-5
dla102x2,85.377,14.623,96.637,3.363,41.28,224,0.875,bilinear,+5.935,+1.991,+9
regnetx_160,85.373,14.627,96.633,3.367,54.28,224,0.875,bicubic,+5.535,+1.809,-8
gluon_seresnext50_32x4d,85.341,14.659,96.671,3.329,27.56,224,0.875,bicubic,+5.417,+1.849,-14
gluon_resnet101_v1c,85.317,14.683,96.413,3.587,44.57,224,0.875,bicubic,+5.785,+1.825,+3
xception65,85.315,14.685,96.633,3.367,39.92,299,0.903,bicubic,+5.765,+1.975,+1
dpn98,85.311,14.689,96.466,3.534,61.57,224,0.875,bicubic,+5.661,+1.860,-3
skresnext50_32x4d,85.311,14.689,96.392,3.608,27.48,224,0.875,bicubic,+5.165,+1.752,-23
regnety_064,85.289,14.711,96.633,3.367,30.58,224,0.875,bicubic,+5.557,+1.869,-10
dpn68b,85.285,14.715,96.471,3.529,12.61,224,0.875,bicubic,+6.073,+2.049,+13
resnetblur50,85.270,14.730,96.522,3.478,25.56,224,0.875,bicubic,+5.984,+1.882,+7
resnext50_32x4d,85.232,14.768,96.528,3.472,25.03,224,0.875,bicubic,+5.442,+1.922,-14
regnety_080,85.230,14.770,96.633,3.367,39.18,224,0.875,bicubic,+5.360,+1.803,-19
gluon_inception_v3,85.185,14.815,96.528,3.472,23.83,299,0.875,bicubic,+6.385,+2.148,+23
resnext101_32x8d,85.178,14.822,96.449,3.551,88.79,224,0.875,bilinear,+5.874,+1.923,+2
hrnet_w48,85.153,14.847,96.490,3.510,77.47,224,0.875,bilinear,+5.837,+1.976,-2
xception,85.146,14.854,96.477,3.523,22.86,299,0.897,bicubic,+6.100,+2.081,+13
regnetx_120,85.140,14.860,96.473,3.527,46.11,224,0.875,bicubic,+5.530,+1.741,-13
tf_efficientnet_b1_ap,85.127,14.873,96.407,3.593,7.79,240,0.882,bicubic,+5.851,+2.105,0
gluon_resnet101_v1b,85.125,14.875,96.368,3.632,44.55,224,0.875,bicubic,+5.821,+1.838,-4
hrnet_w64,85.123,14.877,96.746,3.254,128.06,224,0.875,bilinear,+5.661,+2.092,-11
gluon_xception65,85.121,14.879,96.599,3.401,39.92,299,0.903,bicubic,+5.419,+1.731,-21
ssl_resnet50,85.110,14.890,96.864,3.136,25.56,224,0.875,bilinear,+5.874,+2.034,-2
res2net101_26w_4s,85.089,14.911,96.383,3.617,45.21,224,0.875,bilinear,+5.895,+1.949,+1
tf_efficientnet_cc_b1_8e,85.072,14.928,96.426,3.574,39.72,240,0.882,bicubic,+5.746,+2.054,-12
res2net50_26w_8s,85.008,14.992,96.405,3.595,48.40,224,0.875,bilinear,+5.816,+2.037,0
tf_efficientnet_b0_ns,85.001,14.999,96.499,3.502,5.29,224,0.875,bicubic,+6.341,+2.126,+17
resnest26d,84.997,15.003,96.631,3.369,17.07,224,0.875,bilinear,+6.517,+2.331,+21
gluon_resnext50_32x4d,84.993,15.007,96.426,3.574,25.03,224,0.875,bicubic,+5.639,+2.002,-17
regnety_040,84.954,15.046,96.601,3.399,20.65,224,0.875,bicubic,+5.722,+1.957,-8
tf_efficientnet_em,84.926,15.074,96.424,3.576,6.90,240,0.882,bicubic,+6.214,+2.096,+8
tf_efficientnet_b1,84.916,15.084,96.362,3.638,7.79,240,0.882,bicubic,+6.072,+2.166,+4
legacy_seresnext50_32x4d,84.914,15.086,96.441,3.559,27.56,224,0.875,bilinear,+5.830,+2.007,-6
dla169,84.909,15.091,96.524,3.476,53.39,224,0.875,bilinear,+6.215,+2.194,+8
hrnet_w44,84.888,15.112,96.434,3.566,67.06,224,0.875,bilinear,+5.998,+2.060,-1
regnetx_080,84.871,15.129,96.430,3.570,39.57,224,0.875,bicubic,+5.659,+1.876,-12
gluon_resnet50_v1s,84.856,15.144,96.447,3.553,25.68,224,0.875,bicubic,+6.156,+2.201,+4
mixnet_l,84.824,15.176,96.328,3.672,7.33,224,0.875,bicubic,+5.844,+2.146,-7
dla60_res2next,84.824,15.176,96.411,3.589,17.03,224,0.875,bilinear,+6.380,+2.253,+14
tv_resnet152,84.822,15.178,96.225,3.775,60.19,224,0.875,bilinear,+6.502,+2.173,+15
dla60_res2net,84.820,15.180,96.477,3.523,20.85,224,0.875,bilinear,+6.360,+2.271,+9
dla102x,84.815,15.185,96.552,3.448,26.31,224,0.875,bilinear,+6.305,+2.322,+5
gluon_resnet50_v1d,84.813,15.187,96.394,3.606,25.58,224,0.875,bicubic,+5.749,+1.924,-14
xception41,84.809,15.191,96.411,3.589,26.97,299,0.903,bicubic,+6.273,+2.127,+2
regnetx_064,84.779,15.221,96.492,3.508,26.21,224,0.875,bicubic,+5.715,+2.032,-17
hrnet_w40,84.749,15.251,96.558,3.442,57.56,224,0.875,bilinear,+5.817,+2.080,-13
res2net50_26w_6s,84.724,15.276,96.276,3.724,37.05,224,0.875,bilinear,+6.158,+2.156,-2
legacy_seresnet152,84.698,15.302,96.422,3.578,66.82,224,0.875,bilinear,+6.032,+2.046,-5
selecsls60b,84.657,15.343,96.302,3.698,32.77,224,0.875,bicubic,+6.247,+2.124,+4
hrnet_w32,84.655,15.345,96.409,3.591,41.23,224,0.875,bilinear,+6.209,+2.219,+1
regnetx_040,84.602,15.398,96.390,3.610,22.12,224,0.875,bicubic,+6.118,+2.138,-3
efficientnet_es,84.598,15.402,96.313,3.687,5.44,224,0.875,bicubic,+6.510,+2.381,+10
hrnet_w30,84.585,15.415,96.396,3.604,37.71,224,0.875,bilinear,+6.379,+2.172,+6
tf_mixnet_l,84.559,15.441,96.247,3.753,7.33,224,0.875,bicubic,+5.783,+2.245,-16
wide_resnet101_2,84.555,15.445,96.349,3.651,126.89,224,0.875,bilinear,+5.701,+2.067,-20
efficientnet_b1,84.536,15.464,96.161,3.839,7.79,240,0.875,bicubic,+5.830,+2.007,-16
dla60x,84.527,15.473,96.291,3.709,17.35,224,0.875,bilinear,+6.277,+2.267,-1
legacy_seresnet101,84.504,15.496,96.338,3.662,49.33,224,0.875,bilinear,+6.124,+2.076,-4
efficientnet_b1_pruned,84.401,15.599,96.142,3.858,6.33,240,0.882,bicubic,+6.153,+2.306,-2
res2net50_26w_4s,84.378,15.622,96.082,3.918,25.70,224,0.875,bilinear,+6.386,+2.230,+5
res2net50_14w_8s,84.307,15.693,96.076,3.924,25.06,224,0.875,bilinear,+6.169,+2.220,0
selecsls60,84.284,15.716,96.089,3.911,30.67,224,0.875,bicubic,+6.294,+2.261,+4
regnetx_032,84.228,15.772,96.253,3.747,15.30,224,0.875,bicubic,+6.080,+2.165,-3
res2next50,84.222,15.778,96.001,3.999,24.67,224,0.875,bilinear,+5.986,+2.095,-6
gluon_resnet50_v1c,84.205,15.795,96.168,3.832,25.58,224,0.875,bicubic,+6.197,+2.180,-1
dla102,84.196,15.804,96.223,3.777,33.27,224,0.875,bilinear,+6.166,+2.271,-3
rexnet_100,84.173,15.827,96.257,3.743,4.80,224,0.875,bicubic,+6.311,+2.379,+5
tf_inception_v3,84.134,15.866,95.918,4.082,23.83,299,0.875,bicubic,+6.268,+2.272,+3
res2net50_48w_2s,84.119,15.881,95.965,4.035,25.29,224,0.875,bilinear,+6.585,+2.405,+11
resnet34d,84.104,15.896,95.975,4.025,21.82,224,0.875,bicubic,+6.990,+2.593,+21
tf_efficientnet_lite2,84.096,15.904,96.063,3.937,6.09,260,0.890,bicubic,+6.614,+2.315,+10
efficientnet_b0,84.043,15.957,95.960,4.040,5.29,224,0.875,bicubic,+6.337,+2.438,+2
seresnext26t_32x4d,83.985,16.015,95.867,4.133,16.82,224,0.875,bicubic,+5.997,+2.134,-6
tf_efficientnet_cc_b0_8e,83.970,16.030,96.067,3.933,24.01,224,0.875,bicubic,+6.062,+2.415,-5
regnety_016,83.955,16.045,96.001,3.999,11.20,224,0.875,bicubic,+6.087,+2.275,-5
tv_resnext50_32x4d,83.955,16.045,95.943,4.057,25.03,224,0.875,bilinear,+6.341,+2.259,0
gluon_resnet50_v1b,83.942,16.058,96.016,3.984,25.56,224,0.875,bicubic,+6.364,+2.298,+2
densenet161,83.902,16.098,96.010,3.990,28.68,224,0.875,bicubic,+6.542,+2.376,+6
seresnext26tn_32x4d,83.887,16.113,95.939,4.061,16.81,224,0.875,bicubic,+5.901,+2.195,-11
adv_inception_v3,83.882,16.118,95.941,4.059,23.83,299,0.875,bicubic,+6.300,+2.201,-2
mobilenetv2_120d,83.882,16.118,95.911,4.089,5.83,224,0.875,bicubic,+6.604,+2.401,+7
tv_resnet101,83.853,16.148,95.888,4.112,44.55,224,0.875,bilinear,+6.487,+2.332,+1
inception_v3,83.771,16.229,95.898,4.101,23.83,299,0.875,bicubic,+6.307,+2.422,-1
dla60,83.735,16.265,95.931,4.069,22.04,224,0.875,bilinear,+6.699,+2.607,+10
vit_small_patch16_224,83.731,16.269,95.753,4.247,48.75,224,0.900,bicubic,+5.877,+2.329,-12
seresnext26d_32x4d,83.727,16.273,95.845,4.155,16.81,224,0.875,bicubic,+6.141,+2.237,-9
legacy_seresnet50,83.665,16.335,95.975,4.025,28.09,224,0.875,bilinear,+6.029,+2.231,-12
tf_efficientnet_b0_ap,83.665,16.335,95.783,4.217,5.29,224,0.875,bicubic,+6.563,+2.519,+5
skresnet34,83.652,16.348,95.924,4.076,22.28,224,0.875,bicubic,+6.722,+2.602,+8
tf_efficientnet_es,83.643,16.357,95.941,4.059,5.44,224,0.875,bicubic,+6.359,+2.337,-3
tf_efficientnet_cc_b0_4e,83.641,16.359,95.730,4.270,13.31,224,0.875,bicubic,+6.321,+2.408,-6
densenet201,83.549,16.451,95.807,4.193,20.01,224,0.875,bicubic,+6.259,+2.327,-6
legacy_seresnext26_32x4d,83.522,16.478,95.719,4.281,16.79,224,0.875,bicubic,+6.416,+2.411,-1
tf_efficientnet_b0,83.517,16.483,95.719,4.281,5.29,224,0.875,bicubic,+6.669,+2.487,+4
mixnet_m,83.513,16.487,95.691,4.309,5.01,224,0.875,bicubic,+6.239,+2.269,-6
hrnet_w18,83.507,16.493,95.903,4.097,21.30,224,0.875,bilinear,+6.743,+2.461,+4
densenetblur121d,83.483,16.517,95.822,4.178,8.00,224,0.875,bicubic,+6.897,+2.626,+6
selecsls42b,83.462,16.538,95.747,4.253,32.46,224,0.875,bicubic,+6.278,+2.359,-8
tf_efficientnet_lite1,83.361,16.639,95.642,4.358,5.42,240,0.882,bicubic,+6.695,+2.404,+3
regnetx_016,83.184,16.816,95.743,4.257,9.19,224,0.875,bicubic,+6.238,+2.317,-4
dpn68,83.174,16.826,95.589,4.411,12.61,224,0.875,bicubic,+6.862,+2.621,+5
tf_mixnet_m,83.174,16.826,95.467,4.533,5.01,224,0.875,bicubic,+6.218,+2.303,-7
mobilenetv2_140,83.171,16.829,95.689,4.311,6.11,224,0.875,bicubic,+6.659,+2.691,+1
ese_vovnet19b_dw,83.109,16.890,95.787,4.213,6.54,224,0.875,bicubic,+6.291,+2.510,-5
resnet26d,83.037,16.963,95.595,4.405,16.01,224,0.875,bicubic,+6.349,+2.449,-4
tv_resnet50,82.962,17.038,95.472,4.529,25.56,224,0.875,bilinear,+6.804,+2.594,+1
densenet121,82.811,17.189,95.587,4.413,7.98,224,0.875,bicubic,+7.247,+2.939,+6
densenet169,82.661,17.339,95.595,4.405,14.15,224,0.875,bicubic,+6.763,+2.573,+1
mixnet_s,82.529,17.471,95.352,4.648,4.13,224,0.875,bicubic,+6.535,+2.562,-1
regnety_008,82.478,17.523,95.476,4.524,6.26,224,0.875,bicubic,+6.158,+2.408,-5
efficientnet_lite0,82.388,17.612,95.279,4.721,4.65,224,0.875,bicubic,+6.886,+2.765,+5
resnest14d,82.364,17.636,95.324,4.676,10.61,224,0.875,bilinear,+6.850,+2.806,+2
mobilenetv3_rw,82.270,17.730,95.241,4.759,5.48,224,0.875,bicubic,+6.650,+2.529,-1
semnasnet_100,82.253,17.747,95.234,4.766,3.89,224,0.875,bicubic,+6.801,+2.624,+3
mobilenetv3_large_100,82.172,17.828,95.194,4.806,5.48,224,0.875,bicubic,+6.398,+2.656,-5
resnet34,82.125,17.875,95.134,4.866,21.80,224,0.875,bilinear,+7.019,+2.858,+6
mobilenetv2_110d,82.074,17.926,95.076,4.923,4.52,224,0.875,bicubic,+7.026,+2.886,+7
tf_mixnet_s,82.040,17.960,95.128,4.872,4.13,224,0.875,bicubic,+6.358,+2.490,-7
hrnet_w18_small_v2,81.959,18.041,95.166,4.834,15.60,224,0.875,bilinear,+6.851,+2.754,+2
tf_efficientnet_lite0,81.950,18.050,95.164,4.836,4.65,224,0.875,bicubic,+7.118,+2.990,+5
resnet26,81.933,18.067,95.237,4.763,16.00,224,0.875,bicubic,+6.643,+2.671,-3
tf_mobilenetv3_large_100,81.841,18.159,95.076,4.923,5.48,224,0.875,bilinear,+6.331,+2.466,-7
tv_densenet121,81.724,18.276,95.034,4.966,7.98,224,0.875,bicubic,+6.982,+2.880,+4
regnety_006,81.705,18.295,95.109,4.891,6.06,224,0.875,bicubic,+6.437,+2.579,-5
dla34,81.658,18.342,94.872,5.128,15.74,224,0.875,bilinear,+7.034,+2.810,+4
fbnetc_100,81.553,18.447,94.953,5.047,5.57,224,0.875,bilinear,+6.437,+2.579,-6
legacy_seresnet34,81.527,18.473,94.899,5.101,21.96,224,0.875,bilinear,+6.737,+2.773,-1
regnetx_008,81.510,18.490,95.057,4.943,7.26,224,0.875,bicubic,+6.458,+2.715,-5
gluon_resnet34_v1b,81.487,18.513,94.812,5.188,21.80,224,0.875,bicubic,+6.899,+2.816,+1
mnasnet_100,81.478,18.522,94.895,5.105,4.38,224,0.875,bicubic,+6.808,+2.793,-2
spnasnet_100,80.872,19.128,94.511,5.489,4.42,224,0.875,bilinear,+6.792,+2.691,0
regnety_004,80.654,19.346,94.697,5.303,4.34,224,0.875,bicubic,+6.636,+2.933,0
skresnet18,80.629,19.371,94.385,5.615,11.96,224,0.875,bicubic,+7.603,+3.213,+4
regnetx_006,80.612,19.389,94.524,5.476,6.20,224,0.875,bicubic,+6.768,+2.846,-1
swsl_resnet18,80.571,19.429,94.750,5.250,11.69,224,0.875,bilinear,+7.291,+2.992,+1
resnet18d,80.387,19.613,94.252,5.748,11.71,224,0.875,bicubic,+8.113,+3.564,+6
tv_resnet34,80.374,19.625,94.432,5.568,21.80,224,0.875,bilinear,+7.070,+3.008,-2
mobilenetv2_100,80.268,19.732,94.197,5.803,3.50,224,0.875,bicubic,+7.318,+3.195,0
ssl_resnet18,80.112,19.888,94.594,5.406,11.69,224,0.875,bilinear,+7.496,+3.178,0
tf_mobilenetv3_large_075,80.088,19.912,94.188,5.812,3.99,224,0.875,bilinear,+6.640,+2.846,-6
hrnet_w18_small,79.537,20.462,93.909,6.091,13.19,224,0.875,bilinear,+7.201,+3.225,0
regnetx_004,79.439,20.561,93.843,6.157,5.16,224,0.875,bicubic,+7.045,+3.025,-2
tf_mobilenetv3_large_minimal_100,79.226,20.774,93.712,6.288,3.92,224,0.875,bilinear,+6.982,+3.076,0
legacy_seresnet18,79.145,20.855,93.778,6.222,11.78,224,0.875,bicubic,+7.409,+3.436,0
gluon_resnet18_v1b,78.378,21.622,93.134,6.866,11.69,224,0.875,bicubic,+7.540,+3.376,0
regnety_002,77.409,22.591,92.916,7.084,3.16,224,0.875,bicubic,+7.131,+3.370,0
resnet18,77.274,22.726,92.760,7.240,11.69,224,0.875,bilinear,+7.532,+3.674,0
regnetx_002,76.106,23.893,92.207,7.793,2.68,224,0.875,bicubic,+7.353,+3.647,0
dla60x_c,75.658,24.342,92.166,7.834,1.32,224,0.875,bilinear,+7.746,+3.748,+1
tf_mobilenetv3_small_100,74.734,25.266,91.274,8.726,2.54,224,0.875,bilinear,+6.812,+3.598,-1
dla46x_c,73.647,26.353,91.112,8.888,1.07,224,0.875,bilinear,+7.671,+4.124,0
tf_mobilenetv3_small_075,72.821,27.179,90.031,9.969,2.04,224,0.875,bilinear,+7.097,+3.897,0
dla46_c,72.601,27.399,90.495,9.505,1.30,224,0.875,bilinear,+7.731,+4.201,0
tf_mobilenetv3_small_minimal_100,70.109,29.891,88.516,11.485,2.04,224,0.875,bilinear,+7.199,+4.272,0
inception_v4,1.507,98.493,19.038,80.962,42.68,299,0.875,bicubic,+0.499,+2.184,0
pnasnet5large,1.478,98.522,20.749,79.251,86.06,331,0.911,bicubic,+0.493,+2.173,+1
ens_adv_inception_resnet_v2,1.428,98.572,19.416,80.584,55.85,299,0.897,bicubic,+0.430,+2.092,-1
inception_resnet_v2,1.415,98.585,19.444,80.556,55.85,299,0.897,bicubic,+0.466,+2.150,0

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 90.572 9.437 9.428 98.779 1.221 480.31 800 0.960 bicubic +2.211 +6.208 +0.129 +1.739 0 -2
3 tf_efficientnet_l2_ns_475 90.537 90.525 9.463 9.475 98.710 98.706 1.290 1.294 480.31 475 0.936 bicubic +2.303 +6.785 +0.164 +1.936 0 -2
4 tf_efficientnet_b7_ns 90.100 90.134 9.900 9.866 98.614 98.617 1.386 1.383 66.35 600 0.949 bicubic +3.260 +1.784 +0.520 -0.040 0 -2
5 tf_efficientnet_b6_ns 89.782 89.767 10.218 10.233 98.510 98.503 1.490 1.497 43.04 528 0.942 bicubic +3.330 +1.527 +0.628 -0.047 0 -2
6 tf_efficientnet_b5_ns 89.651 89.658 10.349 10.342 98.482 98.488 1.518 1.512 30.39 456 0.934 bicubic +3.563 +2.830 +0.730 +0.404 0 -2
7 tf_efficientnet_b8_ap 89.581 89.589 10.419 10.411 98.305 98.300 1.695 1.700 87.41 672 0.954 bicubic +4.211 +3.511 +1.011 +0.548 +2 -1
8 tf_efficientnet_b7_ap 89.429 89.419 10.571 10.581 98.347 98.343 1.653 1.657 66.35 600 0.949 bicubic +4.309 +4.253 +1.095 +0.981 +4 +2
9 tf_efficientnet_b8 89.355 89.340 10.645 10.660 98.303 98.305 1.697 1.695 87.41 672 0.954 bicubic +3.985 +3.916 +0.913 +0.727 -1 -2
10 tf_efficientnet_b6_ap 89.342 89.338 10.658 10.662 98.281 1.719 43.04 528 0.942 bicubic +4.554 +4.390 +1.143 +0.831 +5
11 tf_efficientnet_b4_ns 89.305 89.325 10.694 10.675 98.347 98.352 1.653 1.648 19.34 380 0.922 bicubic +4.143 +3.975 +0.877 +0.962 -1 -2
12 ig_resnext101_32x48d ig_resnext101_32x32d 89.120 89.115 10.880 10.885 98.130 98.181 1.870 1.819 828.41 468.53 224 0.875 bilinear +3.692 +3.965 +0.558 +0.711 -5 -1
13 ig_resnext101_32x32d ig_resnext101_32x48d 89.111 10.889 98.181 98.125 1.819 1.875 468.53 828.41 224 0.875 bilinear +4.017 +2.663 +0.743 +0.245 0 -8
14 tf_efficientnet_b7 89.086 89.088 10.914 10.912 98.183 98.179 1.817 1.821 66.35 600 0.949 bicubic +4.150 +4.102 +0.979 +0.883 0
15 tf_efficientnet_b5_ap 88.938 88.934 11.062 11.066 98.164 98.168 1.836 1.832 30.39 456 0.934 bicubic +4.686 +4.664 +1.190 +0.998 +3 +6
16 ig_resnext101_32x16d 88.834 88.817 11.166 11.184 98.049 1.951 194.03 224 0.875 bilinear +4.664 +4.614 +0.853 +0.831 +4 +7
17 swsl_resnext101_32x8d vit_base_resnet50_384 88.770 88.804 11.230 11.196 98.147 98.241 1.853 1.759 88.79 98.95 224 384 0.875 1.000 bilinear bicubic +4.486 +3.684 +0.971 +0.991 0 -5
18 tf_efficientnet_b6 seresnet152d_320 88.761 88.797 11.239 11.203 98.064 98.172 1.937 1.828 43.04 66.84 528 320 0.942 1.000 bicubic +4.651 +4.393 +1.177 +0.738 +3 +19
19 resnest269e tf_efficientnet_b6 88.522 88.759 11.478 11.241 98.027 98.066 1.973 1.934 110.93 43.04 416 528 0.928 0.942 bicubic +4.004 +4.595 +1.041 +0.872 -3 +6
20 resnest200e swsl_resnext101_32x8d 88.432 88.748 11.568 11.252 98.042 98.138 1.958 1.862 70.20 88.79 320 224 0.909 0.875 bicubic bilinear +4.600 +4.366 +1.148 +0.772 +3 +1
21 tf_efficientnet_b3_ns resnetv2_152x2_bitm 88.426 88.656 11.574 11.344 98.029 98.320 1.971 1.680 12.23 236.34 300 480 0.904 1.000 bicubic bilinear +4.378 +3.870 +1.119 +1.182 +1 -3
22 vit_large_patch16_384 resnetv2_152x4_bitm 88.407 88.556 11.593 11.444 98.187 98.185 1.813 1.815 304.72 936.53 384 480 1.000 bicubic bilinear +3.249 +3.466 +0.831 +0.745 -11 -8
23 vit_base_patch16_384 resnet200d_320 88.389 88.528 11.611 11.472 98.155 97.957 1.845 2.043 86.86 64.69 384 320 1.000 bicubic +4.180 +4.484 +0.937 +1.047 -4 +4
24 tf_efficientnet_b4_ap resnest269e 88.349 88.526 11.651 11.474 97.893 98.021 2.107 1.979 19.34 110.93 380 416 0.922 0.928 bicubic +5.101 +3.592 +1.501 +0.817 +2 -7
25 tf_efficientnet_b5 resnetv2_101x3_bitm 88.321 88.443 11.679 11.557 97.912 98.164 2.088 1.836 30.39 387.93 456 480 0.934 1.000 bicubic bilinear +4.509 +3.917 +1.164 +1.178 -1 -6
26 ig_resnext101_32x8d tf_efficientnet_b3_ns 88.146 88.439 11.854 11.561 97.856 98.031 2.144 1.968 88.79 12.23 224 300 0.875 0.904 bilinear bicubic +5.458 +4.325 +1.220 +1.144 +6 0
27 swsl_resnext101_32x4d resnest200e 88.099 88.421 11.901 11.579 97.967 98.049 2.033 1.951 44.18 70.20 224 320 0.875 0.909 bilinear bicubic +4.869 +4.454 +1.207 +1.231 0 +1
28 tf_efficientnet_b4 vit_large_patch16_384 87.963 88.407 12.037 11.593 97.739 98.187 2.261 1.813 19.34 304.72 380 384 0.922 1.000 bicubic +4.941 +3.033 +1.439 +0.889 +1 -19
29 tresnet_xl_448 vit_base_patch16_384 87.796 88.385 12.204 11.615 97.459 98.149 2.541 1.851 78.44 86.86 448 384 0.875 1.000 bilinear bicubic +4.746 +4.131 +1.285 +1.175 -1 -6
30 pnasnet5large seresnet152d 87.636 88.379 12.364 11.621 97.485 98.036 2.515 1.964 86.06 66.84 331 256 0.911 0.940 bicubic +4.854 +4.627 +1.445 +0.916 +1 +29
31 swsl_resnext101_32x16d tf_efficientnet_b4_ap 87.615 88.349 12.386 11.651 97.820 97.891 2.180 2.109 194.03 19.34 224 380 0.875 0.922 bilinear bicubic +4.269 +5.093 +0.974 +1.497 -6 +4
32 swsl_resnext50_32x4d resnet152d_320 87.600 88.347 12.400 11.653 97.651 97.929 2.349 2.071 25.03 60.21 224 320 0.875 1.000 bilinear bicubic +5.418 +4.681 +1.421 +1.195 +5 +1
33 tf_efficientnet_b2_ns tf_efficientnet_b5 87.557 88.313 12.443 11.687 97.628 97.914 2.372 2.086 9.11 30.39 260 456 0.890 0.934 bicubic +5.177 +4.461 +1.380 +1.024 +1 -3
34 efficientnet_b3a resnetv2_50x3_bitm 87.435 88.308 12.565 11.692 97.681 98.113 2.319 1.887 12.23 217.32 320 480 1.000 bicubic bilinear +5.193 +4.500 +1.567 +1.367 +2 -3
35 tresnet_l_448 ig_resnext101_32x8d 87.377 88.150 12.623 11.850 97.485 97.861 2.515 2.139 55.99 88.79 448 224 0.875 bilinear +5.110 +5.454 +1.509 +1.217 0 +9
36 nasnetalarge swsl_resnext101_32x4d 87.350 88.086 12.650 11.914 97.417 97.974 2.583 2.026 88.75 44.18 331 224 0.911 0.875 bicubic bilinear +4.730 +4.864 +1.371 +1.206 -3 +1
37 efficientnet_b3 resnet152d 87.313 87.986 12.687 12.014 97.602 97.709 2.398 2.291 12.23 60.21 300 256 0.904 0.940 bicubic +5.237 +4.852 +1.582 +1.359 +2 +1
38 ecaresnet101d tf_efficientnet_b4 87.288 87.960 12.712 12.040 97.562 97.737 2.438 2.263 44.57 19.34 224 380 0.875 0.922 bicubic +5.116 +4.934 +1.516 +1.439 0 +3
39 resnest101e resnet101d_320 87.284 87.948 12.716 12.052 97.560 97.903 2.440 2.097 48.28 44.57 256 320 0.875 1.000 bilinear bicubic +4.394 +4.924 +1.240 +1.447 -9 +3
40 regnety_032 resnet200d 87.258 87.943 12.742 12.057 97.525 97.773 2.474 2.227 19.44 64.69 224 256 0.875 0.940 bicubic +5.256 +4.701 +1.619 +1.285 +1 -4
41 tresnet_xl tresnet_xl_448 87.224 87.794 12.776 12.206 97.400 97.468 2.600 2.532 78.44 224 448 0.875 bilinear +5.170 +4.738 +1.463 +1.282 -1
42 tf_efficientnet_b3_ap resnetv2_101x1_bitm 87.192 87.634 12.808 12.366 97.380 97.953 2.620 2.047 12.23 44.54 300 480 0.904 1.000 bicubic bilinear +5.370 +5.420 +1.756 +1.480 +1 +8
43 vit_base_patch32_384 swsl_resnext101_32x16d 87.019 87.602 12.981 12.398 97.654 97.820 2.346 2.180 88.30 194.03 384 224 1.000 0.875 bicubic bilinear +5.367 +4.258 +1.526 +0.980 +2 -9
44 ssl_resnext101_32x16d swsl_resnext50_32x4d 86.856 87.597 13.143 12.403 97.517 97.651 2.483 2.349 194.03 25.03 224 0.875 bilinear +5.013 +5.425 +1.421 +1.419 -2 +8
45 rexnet_200 tf_efficientnet_b2_ns 86.846 87.561 13.154 12.439 97.276 97.626 2.724 2.374 16.37 9.11 224 260 0.875 0.890 bicubic +5.214 +5.169 +1.608 +1.388 +2 +1
46 tf_efficientnet_b3 efficientnet_b3a 86.835 87.452 13.165 12.548 97.297 97.679 2.703 2.321 12.23 300 320 0.904 1.000 bicubic +5.199 +5.198 +1.579 +1.565 0 +3
47 tresnet_m_448 resnet101d 86.820 87.386 13.180 12.614 97.212 97.572 2.788 2.428 31.39 44.57 448 256 0.875 0.940 bilinear bicubic +5.106 +5.076 +1.640 +1.508 -3 0
48 ssl_resnext101_32x8d tresnet_l_448 86.807 87.373 13.193 12.627 97.466 97.485 2.534 2.515 88.79 55.99 224 448 0.875 bilinear +5.191 +5.113 +1.428 +1.507 0
49 swsl_resnet50 nasnetalarge 86.807 87.350 13.193 12.650 97.498 97.412 2.502 2.588 25.56 88.75 224 331 0.875 0.911 bilinear bicubic +5.641 +4.724 +1.526 +1.362 +8 -4
50 tf_efficientnet_lite4 efficientnet_b3 86.803 87.328 13.197 12.672 97.263 97.605 2.737 2.396 13.01 12.23 380 300 0.920 0.904 bilinear bicubic +5.267 +5.246 +1.595 +1.578 -1 +3
51 tresnet_l ecaresnet101d 86.767 87.286 13.233 12.714 97.271 97.562 2.729 2.438 55.99 44.57 224 0.875 bilinear bicubic +5.277 +5.110 +1.647 +1.506 0
52 seresnext50_32x4d resnest101e 86.699 87.262 13.301 12.738 97.214 97.558 2.786 2.442 27.56 48.28 224 256 0.875 bicubic bilinear +5.433 +4.384 +1.594 +1.244 +3 -9
53 tf_efficientnet_b1_ns regnety_032 86.669 87.254 13.331 12.746 97.378 97.521 2.622 2.479 7.79 19.44 240 224 0.882 0.875 bicubic +5.281 +5.246 +1.640 +1.609 0 +2
54 wide_resnet50_2 tresnet_xl 86.647 87.224 13.353 12.776 97.214 97.400 2.786 2.600 68.88 78.44 224 0.875 bicubic bilinear +5.191 +5.170 +1.682 +1.468 -2 0
55 resnest50d_4s2x40d tf_efficientnet_b3_ap 86.592 87.196 13.408 12.804 97.269 97.382 2.731 2.618 30.42 12.23 224 300 0.875 0.904 bicubic +5.484 +5.374 +1.711 +1.762 +3 +2
56 efficientnet_b3_pruned vit_base_patch32_384 86.581 87.014 13.419 12.986 97.190 97.656 2.810 2.344 9.86 88.30 300 384 0.904 1.000 bicubic +5.723 +5.358 +1.948 +1.526 +9 +4
57 ssl_resnext101_32x4d vit_large_patch16_224 86.479 86.993 13.521 13.007 97.468 97.692 2.532 2.308 44.18 304.33 224 0.875 0.900 bilinear bicubic +5.555 +3.933 +1.740 +1.248 +5 -18
58 ecaresnet50d rexnet_200 86.470 86.854 13.530 13.146 97.186 97.282 2.814 2.718 25.58 16.37 224 0.875 bicubic +5.878 +5.228 +1.866 +1.610 +13 +4
59 gluon_resnet152_v1s ssl_resnext101_32x16d 86.468 86.844 13.532 13.156 97.109 97.519 2.891 2.481 60.32 194.03 224 0.875 bicubic bilinear +5.452 +5.006 +1.697 +1.427 0 -3
60 resnest50d_1s4x24d tf_efficientnet_b3 86.447 86.842 13.553 13.158 97.148 97.293 2.852 2.707 25.68 12.23 224 300 0.875 0.904 bicubic +5.459 +5.196 +1.826 +1.571 0 +1
61 legacy_senet154 tresnet_m_448 86.342 86.816 13.658 13.184 96.928 97.205 3.072 2.795 115.09 31.39 224 448 0.875 bilinear +5.032 +5.098 +1.432 +1.639 -7 -2
62 efficientnet_b2a ssl_resnext101_32x8d 86.304 86.803 13.696 13.197 96.990 97.466 3.010 2.534 9.11 88.79 288 224 1.000 0.875 bicubic bilinear +5.692 +5.197 +1.672 +1.422 +7 +1
63 gluon_senet154 tf_efficientnet_lite4 86.278 86.801 13.722 13.199 96.949 97.254 3.051 2.746 115.09 13.01 224 380 0.875 0.920 bicubic bilinear +5.044 +5.265 +1.601 +1.594 -7 +1
64 resnest50d swsl_resnet50 86.240 86.790 13.761 13.210 97.073 97.493 2.927 2.507 27.48 25.56 224 0.875 bilinear +5.266 +5.654 +1.695 +1.519 -3 +7
65 ecaresnet101d_pruned vit_base_patch16_224 86.210 86.758 13.790 13.242 97.335 97.440 2.665 2.560 24.88 86.57 224 0.875 0.900 bicubic +5.392 +4.974 +1.707 +1.314 +1 -7
66 tresnet_m tresnet_l 86.199 86.754 13.801 13.246 96.667 97.271 3.333 2.729 31.39 55.99 224 0.875 bilinear +5.397 +5.268 +1.807 +1.651 +2 -1
67 cspdarknet53 seresnext50_32x4d 86.182 86.709 13.818 13.291 97.013 97.203 2.987 2.797 27.64 27.56 256 224 0.887 0.875 bilinear bicubic +6.124 +5.435 +1.929 +1.585 +27 +2
68 inception_v4 tf_efficientnet_b1_ns 86.169 86.684 13.831 13.316 96.919 97.380 3.081 2.620 42.68 7.79 299 240 0.875 0.882 bicubic +6.001 +5.298 +1.951 +1.640 +22 -1
69 rexnet_150 wide_resnet50_2 86.154 86.649 13.846 13.351 97.058 97.212 2.942 2.788 9.73 68.88 224 0.875 bicubic +5.844 +5.197 +1.892 +1.690 +14 -3
70 tf_efficientnet_el resnest50d_4s2x40d 86.148 86.585 13.852 13.415 96.987 97.269 3.013 2.731 10.59 30.42 300 224 0.904 0.875 bicubic +5.708 +5.471 +1.823 +1.715 +7 +1
71 inception_resnet_v2 efficientnet_b3_pruned 86.133 86.585 13.867 13.415 97.043 97.186 2.957 2.814 55.84 9.86 299 300 0.897 0.904 bicubic +5.675 +5.727 +1.737 +1.946 +5 +9
72 ssl_resnext50_32x4d ecaresnet50d 86.086 86.477 13.914 13.524 97.212 97.186 2.788 2.814 25.03 25.58 224 0.875 bilinear bicubic +5.768 +5.863 +1.806 +1.878 +10 +12
73 efficientnet_b2 ssl_resnext101_32x4d 86.056 86.474 13.944 13.526 96.917 97.468 3.083 2.532 9.11 44.18 260 224 0.875 bicubic bilinear +5.664 +5.560 +1.841 +1.734 +6 +3
74 gluon_resnet101_v1s gluon_resnet152_v1s 86.054 86.449 13.946 13.551 97.022 97.120 2.978 2.880 44.67 60.32 224 0.875 bicubic +5.752 +5.431 +1.862 +1.700 +10 -1
75 ecaresnetlight resnest50d_1s4x24d 86.052 86.442 13.948 13.558 97.069 97.150 2.931 2.850 30.16 25.68 224 0.875 bicubic +5.590 +5.438 +1.821 +1.824 0 -1
76 gluon_seresnext101_32x4d legacy_senet154 86.032 86.338 13.968 13.662 96.977 96.928 3.023 3.072 48.96 115.09 224 0.875 bicubic bilinear +5.128 +5.012 +1.683 +1.420 -13 -8
77 resnet50d efficientnet_b2a 86.009 86.310 13.991 13.690 96.979 96.990 3.021 3.010 25.58 9.11 224 288 0.875 1.000 bicubic +5.479 +5.696 +1.819 +1.672 -5 +8
78 tf_efficientnet_b2_ap gluon_senet154 85.975 86.280 14.025 13.720 96.810 96.938 3.190 3.062 9.11 115.09 260 224 0.890 0.875 bicubic +5.675 +5.052 +1.782 +1.586 +7 -8
79 gluon_seresnext101_64x4d resnest50d 85.960 86.229 14.040 13.771 96.979 97.069 3.021 2.931 88.23 27.48 224 0.875 bicubic bilinear +5.066 +5.271 +1.671 +1.691 -15 -4
80 gluon_resnet152_v1d tresnet_m 85.917 86.190 14.083 13.810 96.812 96.667 3.188 3.333 60.21 31.39 224 0.875 bicubic bilinear +5.443 +5.386 +1.606 +1.809 -6 +1
81 vit_large_patch32_384 ecaresnet101d_pruned 85.909 86.182 14.091 13.818 97.368 97.342 2.632 2.658 306.63 24.88 384 224 1.000 0.875 bicubic +4.403 +5.366 +1.275 +1.704 -31 -1
82 tf_efficientnet_b2 rexnet_150 85.902 86.163 14.098 13.837 96.862 97.066 3.139 2.934 9.11 9.73 260 224 0.890 0.875 bicubic +5.816 +5.853 +1.954 +1.904 +11 +13
83 seresnet50 resnetv2_50x1_bitm 85.857 86.154 14.143 13.846 97.004 97.558 2.995 2.442 28.09 25.55 224 480 0.875 1.000 bicubic bilinear +5.583 +5.962 +1.934 +1.928 +4 +20
84 gluon_resnet101_v1d tf_efficientnet_el 85.849 86.152 14.151 13.848 96.663 96.985 3.337 3.015 44.57 10.59 224 300 0.875 0.904 bicubic +5.435 +5.704 +1.649 +1.815 -6 +6
85 resnet50 cspdarknet53 85.804 86.150 14.196 13.850 96.712 97.013 3.288 2.987 25.56 27.64 224 256 0.875 0.887 bicubic bilinear +6.766 +6.102 +2.322 +1.921 +55 +22
86 mixnet_xl ssl_resnext50_32x4d 85.798 86.082 14.202 13.918 96.712 97.212 3.288 2.788 11.90 25.03 224 0.875 bicubic bilinear +5.322 +5.780 +1.776 +1.800 -13 +10
87 ens_adv_inception_resnet_v2 ecaresnetlight 85.781 86.043 14.220 13.957 96.759 97.073 3.241 2.927 55.84 30.16 299 224 0.897 0.875 bicubic +5.799 +5.585 +1.823 +10 +2
88 tf_efficientnet_lite3 efficientnet_b2 85.755 86.041 14.245 13.959 96.887 96.923 3.113 3.077 8.20 9.11 300 260 0.904 0.875 bilinear bicubic +5.935 +5.663 +1.973 +1.845 +17 +4
89 ese_vovnet39b gluon_resnet101_v1s 85.751 86.037 14.249 13.963 96.891 97.024 3.109 2.976 24.57 44.67 224 0.875 bicubic +6.431 +5.751 +2.179 +1.864 +33 +9
90 gluon_resnext101_32x4d gluon_seresnext101_32x4d 85.746 86.009 14.254 13.991 96.635 96.979 3.365 3.021 44.18 48.96 224 0.875 bicubic +5.412 +5.137 +1.709 +1.687 -9 -12
91 legacy_seresnext101_32x4d resnet50d 85.746 86.002 14.254 13.998 96.757 96.981 3.243 3.019 48.96 25.58 224 0.875 bilinear bicubic +5.518 +5.454 +1.739 +1.823 -2 -5
92 cspresnext50 tf_efficientnet_b2_ap 85.740 85.975 14.260 14.025 96.840 96.808 3.160 3.192 20.57 9.11 224 260 0.875 0.890 bilinear bicubic +5.700 +5.673 +1.896 +1.776 +3 +5
93 regnety_320 gluon_seresnext101_64x4d 85.727 85.949 14.273 14.051 96.725 96.990 3.275 3.010 145.05 88.23 224 0.875 bicubic +4.915 +5.065 +1.481 +1.676 -26 -16
94 cspresnet50 gluon_resnet152_v1d 85.721 85.906 14.279 14.094 96.795 96.806 3.205 3.194 21.62 60.21 256 224 0.887 0.875 bilinear bicubic +6.147 +5.428 +2.083 +1.606 +20 -7
95 xception71 tf_efficientnet_b2 85.697 85.885 14.303 14.115 96.776 96.855 3.224 3.145 42.34 9.11 299 260 0.903 0.890 bicubic +5.823 +5.813 +1.854 +1.951 +7 +11
96 gluon_resnext101_64x4d seresnet50 85.693 85.836 14.307 14.164 96.644 96.998 3.356 3.002 83.46 28.09 224 0.875 bicubic +5.089 +5.578 +1.656 +1.932 -26 +4
97 efficientnet_em gluon_resnet101_v1d 85.684 85.832 14.316 14.168 96.938 96.663 3.062 3.337 6.90 44.57 240 224 0.882 0.875 bicubic +6.432 +5.430 +2.144 +1.643 +32 -6
98 efficientnet_b2_pruned resnet50 85.642 85.810 14.358 14.190 96.746 96.714 3.254 3.286 8.31 25.56 260 224 0.890 0.875 bicubic +5.726 +6.774 +1.890 +2.322 +1 +53
99 dpn107 mixnet_xl 85.640 85.795 14.360 14.205 96.729 96.718 3.271 3.282 86.92 11.90 224 0.875 bicubic +5.484 +5.321 +1.819 +1.784 -8 -11
100 gluon_resnet152_v1c tf_efficientnet_lite3 85.580 85.766 14.420 14.235 96.646 96.891 3.354 3.109 60.21 8.20 224 300 0.875 0.904 bicubic bilinear +5.670 +5.939 +1.806 +1.983 -1 +17
101 ecaresnet50d_pruned cspresnext50 85.580 85.757 14.420 14.243 96.936 96.840 3.064 3.160 19.94 20.57 224 0.875 bicubic bilinear +5.864 +5.711 +2.056 +1.896 +8 +7
102 resnext50d_32x4d ese_vovnet39b 85.569 85.748 14.431 14.252 96.748 96.900 3.252 3.100 25.05 24.57 224 0.875 bicubic +5.893 +6.436 +1.882 +2.178 +9 +33
103 regnety_120 gluon_resnext101_32x4d 85.543 85.746 14.457 14.254 96.785 96.616 3.215 3.384 51.82 44.18 224 0.875 bicubic +5.177 +5.412 +1.659 +1.708 -23 -9
104 regnetx_320 legacy_seresnext101_32x4d 85.524 85.738 14.476 14.262 96.669 96.765 3.331 3.235 107.81 48.96 224 0.875 bicubic bilinear +5.278 +5.510 +1.643 +1.745 -16 -2
105 regnety_160 regnety_320 85.501 85.727 14.499 14.273 96.620 96.725 3.380 3.275 83.59 145.05 224 0.875 bicubic +5.205 +4.929 +1.658 +1.479 -19 -23
106 dpn92 cspresnet50 85.494 85.723 14.506 14.277 96.635 96.795 3.365 3.205 37.67 21.62 224 256 0.875 0.887 bicubic bilinear +5.486 +6.149 +1.799 +2.087 -10 +20
107 gluon_resnet152_v1b gluon_resnext101_64x4d 85.475 85.701 14.525 14.299 96.550 96.641 3.450 3.358 60.19 83.46 224 0.875 bicubic +5.789 +5.072 +1.814 +1.644 +3 -24
108 rexnet_130 xception71 85.473 85.695 14.527 14.305 96.684 96.774 3.316 3.226 7.56 42.34 224 299 0.875 0.903 bicubic +5.973 +5.811 +2.002 +1.842 +9 +5
109 dpn131 efficientnet_em 85.398 85.693 14.602 14.307 96.639 96.941 3.361 3.059 79.25 6.90 224 240 0.875 0.882 bicubic +5.576 +6.429 +1.929 +2.150 -5 +31
110 regnetx_160 dpn107 85.390 85.640 14.610 14.360 96.637 96.729 3.363 3.271 54.28 86.92 224 0.875 bicubic +5.534 +5.484 +1.807 +1.819 -7 -6
111 dla102x2 efficientnet_b2_pruned 85.366 85.637 14.634 14.363 96.629 96.746 3.371 3.254 41.28 8.31 224 260 0.875 0.890 bilinear bicubic +5.918 +5.731 +1.989 +1.890 +8 +1
112 gluon_seresnext50_32x4d ecaresnet50d_pruned 85.336 85.578 14.664 14.422 96.667 96.934 3.333 3.066 27.56 19.94 224 0.875 bicubic +5.418 +5.866 +1.845 +2.058 -14 +8
113 xception65 gluon_resnet152_v1c 85.315 85.578 14.685 14.422 96.637 96.650 3.363 3.350 39.92 60.21 299 224 0.903 0.875 bicubic +5.763 +5.664 +1.983 +1.802 +2 -2
114 skresnext50_32x4d resnext50d_32x4d 85.313 85.565 14.687 14.435 96.390 96.746 3.610 3.254 27.48 25.05 224 0.875 bicubic +5.157 +5.897 +1.748 +1.880 -22 +9
115 dpn98 regnety_120 85.311 85.535 14.689 14.465 96.469 96.774 3.531 3.226 61.57 51.82 224 0.875 bicubic +5.669 +5.157 +1.871 +1.652 -3 -22
116 gluon_resnet101_v1c regnetx_320 85.304 85.524 14.696 14.476 96.405 96.667 3.595 3.333 44.57 107.81 224 0.875 bicubic +5.770 +5.270 +1.827 +1.637 0 -15
117 dpn68b regnety_160 85.291 85.494 14.709 14.506 96.464 96.618 3.536 3.382 12.61 83.59 224 0.875 bicubic +6.075 +5.218 +2.050 +1.650 +15 -18
118 regnety_064 dpn92 85.283 85.482 14.717 14.518 96.639 96.635 3.361 3.365 30.58 37.67 224 0.875 bicubic +5.561 +5.492 +1.871 +1.791 -11 -9
119 resnetblur50 gluon_resnet152_v1b 85.283 85.467 14.717 14.533 96.531 96.556 3.470 3.444 25.56 60.19 224 0.875 bicubic +5.997 +5.775 +1.893 +1.822 +8 +3
120 regnety_080 rexnet_130 85.245 85.467 14.755 14.533 96.633 96.684 3.367 3.316 39.18 7.56 224 0.875 bicubic +5.369 +5.973 +1.803 +2.010 -19 +9
121 resnext50_32x4d dpn131 85.221 85.403 14.779 14.597 96.526 96.646 3.474 3.354 25.03 79.25 224 0.875 bicubic +5.453 +5.577 +1.928 +1.934 -15 -5
122 resnext101_32x8d dla102x2 85.187 85.377 14.813 14.623 96.445 96.637 3.555 3.363 88.79 41.28 224 0.875 bilinear +5.879 +5.935 +1.927 +1.991 +1 +9
123 gluon_inception_v3 regnetx_160 85.183 85.373 14.817 14.627 96.526 96.633 3.474 3.367 23.83 54.28 299 224 0.875 bicubic +6.377 +5.535 +2.156 +1.809 +23 -8
124 hrnet_w48 gluon_seresnext50_32x4d 85.151 85.341 14.849 14.659 96.492 96.671 3.508 3.329 77.47 27.56 224 0.875 bilinear bicubic +5.851 +5.417 +1.980 +1.849 +2 -14
125 gluon_xception65 gluon_resnet101_v1c 85.148 85.317 14.851 14.683 96.597 96.413 3.403 3.587 39.92 44.57 299 224 0.903 0.875 bicubic +5.432 +5.785 +1.737 +1.825 -16 +3
126 gluon_resnet101_v1b xception65 85.142 85.315 14.858 14.685 96.366 96.633 3.634 3.367 44.55 39.92 224 299 0.875 0.903 bicubic +5.836 +5.765 +1.842 +1.975 -1 +1
127 regnetx_120 dpn98 85.131 85.311 14.869 14.689 96.477 96.466 3.523 3.534 46.11 61.57 224 0.875 bicubic +5.535 +5.661 +1.739 +1.860 -14 -3
128 xception skresnext50_32x4d 85.129 85.311 14.871 14.689 96.471 96.392 3.529 3.608 22.86 27.48 299 224 0.897 0.875 bicubic +6.077 +5.165 +2.079 +1.752 +11 -23
129 tf_efficientnet_b1_ap regnety_064 85.127 85.289 14.873 14.711 96.405 96.633 3.595 3.367 7.79 30.58 240 224 0.882 0.875 bicubic +5.847 +5.557 +2.099 +1.869 -1 -10
130 hrnet_w64 dpn68b 85.119 85.285 14.881 14.715 96.744 96.471 3.256 3.529 128.06 12.61 224 0.875 bilinear bicubic +5.645 +6.073 +2.092 +2.049 -12 +13
131 ssl_resnet50 resnetblur50 85.097 85.270 14.903 14.730 96.866 96.522 3.134 3.478 25.56 224 0.875 bilinear bicubic +5.875 +5.984 +2.034 +1.882 -1 +7
132 res2net101_26w_4s resnext50_32x4d 85.093 85.232 14.907 14.768 96.381 96.528 3.619 3.472 45.21 25.03 224 0.875 bilinear bicubic +5.895 +5.442 +2.013 +1.922 +1 -14
133 tf_efficientnet_cc_b1_8e regnety_080 85.063 85.230 14.937 14.770 96.422 96.633 3.578 3.367 39.72 39.18 240 224 0.882 0.875 bicubic +5.755 +5.360 +2.052 +1.803 -9 -19
134 res2net50_26w_8s gluon_inception_v3 85.029 85.185 14.971 14.815 96.419 96.528 3.580 3.472 48.40 23.83 224 299 0.875 bilinear bicubic +5.831 +6.385 +1.987 +2.148 0 +23
135 vit_base_patch16_224 resnext101_32x8d 85.027 85.178 14.973 14.822 96.511 96.449 3.489 3.551 86.54 88.79 224 0.900 0.875 bicubic bilinear +5.679 +5.874 +1.999 +1.923 -14 +2
136 resnest26d hrnet_w48 85.008 85.153 14.992 14.847 96.637 96.490 3.363 3.510 17.07 77.47 224 0.875 bilinear +6.530 +5.837 +2.339 +1.976 +22 -2
137 gluon_resnext50_32x4d xception 84.995 85.146 15.005 14.854 96.426 96.477 3.574 3.523 25.03 22.86 224 299 0.875 0.897 bicubic +5.641 +6.100 +2.000 +2.081 -17 +13
138 tf_efficientnet_b0_ns regnetx_120 84.984 85.140 15.016 14.860 96.503 96.473 3.497 3.527 5.29 46.11 224 0.875 bicubic +6.326 +5.530 +2.127 +1.741 +15 -13
139 regnety_040 tf_efficientnet_b1_ap 84.948 85.127 15.052 14.873 96.612 96.407 3.388 3.593 20.65 7.79 224 240 0.875 0.882 bicubic +5.728 +5.851 +1.956 +2.105 -8 0
140 tf_efficientnet_em gluon_resnet101_v1b 84.926 85.125 15.074 14.875 96.424 96.368 3.576 3.632 6.90 44.55 240 224 0.882 0.875 bicubic +6.218 +5.821 +2.110 +1.838 +9 -4
141 dla169 hrnet_w64 84.920 85.123 15.080 14.877 96.535 96.746 3.465 3.254 53.39 128.06 224 0.875 bilinear +6.232 +5.661 +2.199 +2.092 +10 -11
142 tf_efficientnet_b1 gluon_xception65 84.918 85.121 15.082 14.879 96.364 96.599 3.636 3.401 7.79 39.92 240 299 0.882 0.903 bicubic +6.092 +5.419 +2.166 +1.731 +3 -21
143 legacy_seresnext50_32x4d ssl_resnet50 84.901 85.110 15.099 14.890 96.434 96.864 3.566 3.136 27.56 25.56 224 0.875 bilinear +5.823 +5.874 +1.998 +2.034 -7 -2
144 hrnet_w44 res2net101_26w_4s 84.884 85.089 15.116 14.911 96.434 96.383 3.566 3.617 67.06 45.21 224 0.875 bilinear +5.988 +5.895 +2.066 +1.949 -1 +1
145 regnetx_080 tf_efficientnet_cc_b1_8e 84.862 85.072 15.138 14.928 96.434 96.426 3.566 3.574 39.57 39.72 224 240 0.875 0.882 bicubic +5.668 +5.746 +1.874 +2.054 -10 -12
146 gluon_resnet50_v1s res2net50_26w_8s 84.860 85.008 15.140 14.992 96.443 96.405 3.557 3.595 25.68 48.40 224 0.875 bicubic bilinear +6.150 +5.816 +2.205 +2.037 +2 0
147 gluon_resnet50_v1d tf_efficientnet_b0_ns 84.832 85.001 15.168 14.999 96.398 96.499 3.602 3.502 25.58 5.29 224 0.875 bicubic +5.758 +6.341 +1.928 +2.126 -10 +17
148 dla60_res2next resnest26d 84.830 84.997 15.170 15.003 96.411 96.631 3.589 3.369 17.03 17.07 224 0.875 bilinear +6.390 +6.517 +2.259 +2.331 +13 +21
149 mixnet_l gluon_resnext50_32x4d 84.822 84.993 15.178 15.007 96.328 96.426 3.672 3.574 7.33 25.03 224 0.875 bicubic +5.846 +5.639 +2.146 +2.002 -8 -17
150 tv_resnet152 regnety_040 84.815 84.954 15.185 15.046 96.225 96.601 3.775 3.399 60.19 20.65 224 0.875 bilinear bicubic +6.503 +5.722 +2.187 +1.957 +14 -8
151 dla60_res2net tf_efficientnet_em 84.813 84.926 15.187 15.074 96.481 96.424 3.519 3.576 20.85 6.90 224 240 0.875 0.882 bilinear bicubic +6.349 +6.214 +2.275 +2.096 +8
152 dla102x tf_efficientnet_b1 84.813 84.916 15.187 15.084 96.552 96.362 3.448 3.638 26.31 7.79 224 240 0.875 0.882 bilinear bicubic +6.303 +6.072 +2.324 +2.166 +4
153 xception41 legacy_seresnext50_32x4d 84.792 84.914 15.208 15.086 96.413 96.441 3.587 3.559 26.97 27.56 299 224 0.903 0.875 bicubic bilinear +6.276 +5.830 +2.135 +2.007 +2 -6
154 regnetx_064 dla169 84.781 84.909 15.219 15.091 96.490 96.524 3.510 3.476 26.21 53.39 224 0.875 bicubic bilinear +5.709 +6.215 +2.032 +2.194 -16 +8
155 hrnet_w40 hrnet_w44 84.743 84.888 15.257 15.112 96.554 96.434 3.446 3.566 57.56 67.06 224 0.875 bilinear +5.823 +5.998 +2.084 +2.060 -13 -1
156 res2net50_26w_6s regnetx_080 84.726 84.871 15.274 15.129 96.281 96.430 3.719 3.570 37.05 39.57 224 0.875 bilinear bicubic +6.156 +5.659 +2.157 +1.876 -2 -12
157 legacy_seresnet152 gluon_resnet50_v1s 84.704 84.856 15.296 15.144 96.417 96.447 3.583 3.553 66.82 25.68 224 0.875 bilinear bicubic +6.044 +6.156 +2.047 +2.201 -5 +4
158 selecsls60b mixnet_l 84.657 84.824 15.343 15.176 96.300 96.328 3.700 3.672 32.77 7.33 224 0.875 bicubic +6.245 +5.844 +2.126 +2.146 +4 -7
159 hrnet_w32 dla60_res2next 84.651 84.824 15.349 15.176 96.407 96.411 3.593 3.589 41.23 17.03 224 0.875 bilinear +6.201 +6.380 +2.221 +2.253 +1 +14
160 regnetx_040 tv_resnet152 84.600 84.822 15.400 15.178 96.383 96.225 3.617 3.775 22.12 60.19 224 0.875 bicubic bilinear +6.118 +6.502 +2.139 +2.173 -3 +15
161 efficientnet_es dla60_res2net 84.591 84.820 15.409 15.180 96.311 96.477 3.689 3.523 5.44 20.85 224 0.875 bicubic bilinear +6.525 +6.360 +2.385 +2.271 +10 +9
162 hrnet_w30 dla102x 84.572 84.815 15.428 15.185 96.388 96.552 3.612 3.448 37.71 26.31 224 0.875 bilinear +6.366 +6.305 +2.165 +2.322 +6 +5
163 tf_mixnet_l gluon_resnet50_v1d 84.564 84.813 15.437 15.187 96.244 96.394 3.756 3.606 7.33 25.58 224 0.875 bicubic +5.790 +5.749 +2.246 +1.924 -16 -14
164 wide_resnet101_2 xception41 84.557 84.809 15.443 15.191 96.349 96.411 3.651 3.589 126.89 26.97 224 299 0.875 0.903 bilinear bicubic +5.701 +6.273 +2.067 +2.127 -20 +2
165 efficientnet_b1 regnetx_064 84.531 84.779 15.469 15.221 96.153 96.492 3.847 3.508 7.79 26.21 240 224 0.875 bicubic +5.833 +5.715 +2.009 +2.032 -15 -17
166 dla60x hrnet_w40 84.523 84.749 15.477 15.251 96.285 96.558 3.715 3.442 17.35 57.56 224 0.875 bilinear +6.277 +5.817 +2.267 +2.080 -1 -13
167 legacy_seresnet101 res2net50_26w_6s 84.504 84.724 15.496 15.276 96.330 96.276 3.670 3.724 49.33 37.05 224 0.875 bilinear +6.122 +6.158 +2.066 +2.156 -4 -2
168 efficientnet_b1_pruned legacy_seresnet152 84.393 84.698 15.607 15.302 96.140 96.422 3.860 3.578 6.33 66.82 240 224 0.882 0.875 bicubic bilinear +6.157 +6.032 +2.306 +2.046 -1 -5
169 res2net50_26w_4s selecsls60b 84.365 84.657 15.635 15.343 96.082 96.302 3.918 3.698 25.70 32.77 224 0.875 bilinear bicubic +6.401 +6.247 +2.228 +2.124 +8 +4
170 res2net50_14w_8s hrnet_w32 84.309 84.655 15.691 15.345 96.072 96.409 3.929 3.591 25.06 41.23 224 0.875 bilinear +6.159 +6.209 +2.224 +2.219 0 +1
171 selecsls60 regnetx_040 84.288 84.602 15.712 15.398 96.095 96.390 3.905 3.610 30.67 22.12 224 0.875 bicubic +6.306 +6.118 +2.267 +2.138 +5 -3
172 regnetx_032 efficientnet_es 84.237 84.598 15.763 15.402 96.247 96.313 3.753 3.687 15.30 5.44 224 0.875 bicubic +6.065 +6.510 +2.159 +2.381 -3 +10
173 res2next50 hrnet_w30 84.226 84.585 15.774 15.415 95.997 96.396 4.003 3.604 24.67 37.71 224 0.875 bilinear +5.980 +6.379 +2.105 +2.172 -7 +6
174 gluon_resnet50_v1c tf_mixnet_l 84.207 84.559 15.793 15.441 96.161 96.247 3.839 3.753 25.58 7.33 224 0.875 bicubic +6.195 +5.783 +2.173 +2.245 -1 -16
175 dla102 wide_resnet101_2 84.190 84.555 15.810 15.445 96.206 96.349 3.794 3.651 33.27 126.89 224 0.875 bilinear +6.158 +5.701 +2.260 +2.067 -3 -20
176 rexnet_100 efficientnet_b1 84.162 84.536 15.838 15.464 96.255 96.161 3.745 3.839 4.80 7.79 224 240 0.875 bicubic +6.304 +5.830 +2.385 +2.007 +5 -16
177 tf_inception_v3 dla60x 84.141 84.527 15.859 15.473 95.920 96.291 4.080 3.709 23.83 17.35 299 224 0.875 bicubic bilinear +6.279 +6.277 +2.280 +2.267 +3 -1
178 res2net50_48w_2s legacy_seresnet101 84.126 84.504 15.874 15.496 95.965 96.338 4.035 3.662 25.29 49.33 224 0.875 bilinear +6.604 +6.124 +2.411 +2.076 +11 -4
179 resnet34d efficientnet_b1_pruned 84.098 84.401 15.902 15.599 95.978 96.142 4.022 3.858 21.82 6.33 224 240 0.875 0.882 bicubic +6.982 +6.153 +2.596 +2.306 +21 -2
180 tf_efficientnet_lite2 res2net50_26w_4s 84.094 84.378 15.906 15.622 96.069 96.082 3.931 3.918 6.09 25.70 260 224 0.890 0.875 bicubic bilinear +6.626 +6.386 +2.315 +2.230 +10 +5
181 efficientnet_b0 res2net50_14w_8s 84.038 84.307 15.962 15.693 95.956 96.076 4.044 3.924 5.29 25.06 224 0.875 bicubic bilinear +6.340 +6.169 +2.424 +2.220 +2 0
182 seresnext26t_32x4d selecsls60 84.004 84.284 15.996 15.716 95.852 96.089 4.148 3.911 16.82 30.67 224 0.875 bicubic +6.006 +6.294 +2.144 +2.261 -8 +4
183 tf_efficientnet_cc_b0_8e regnetx_032 83.966 84.228 16.034 15.772 96.065 96.253 3.935 3.747 24.01 15.30 224 0.875 bicubic +6.058 +6.080 +2.411 +2.165 -5 -3
184 tv_resnext50_32x4d res2next50 83.959 84.222 16.041 15.778 95.960 96.001 4.040 3.999 25.03 24.67 224 0.875 bilinear +6.339 +5.986 +2.264 +2.095 +1 -6
185 regnety_016 gluon_resnet50_v1c 83.955 84.205 16.045 15.795 96.005 96.168 3.995 3.832 11.20 25.58 224 0.875 bicubic +6.093 +6.197 +2.285 +2.180 -6 -1
186 gluon_resnet50_v1b dla102 83.940 84.196 16.060 15.804 96.012 96.223 3.988 3.777 25.56 33.27 224 0.875 bicubic bilinear +6.360 +6.166 +2.296 +2.271 +2 -3
187 densenet161 rexnet_100 83.906 84.173 16.094 15.827 96.010 96.257 3.990 3.743 28.68 4.80 224 0.875 bicubic +6.548 +6.311 +2.372 +2.379 +6 +5
188 adv_inception_v3 tf_inception_v3 83.902 84.134 16.098 15.866 95.935 95.918 4.065 4.082 23.83 299 0.875 bicubic +6.320 +6.268 +2.199 +2.272 -1 +3
189 mobilenetv2_120d res2net50_48w_2s 83.893 84.119 16.107 15.881 95.909 95.965 4.091 4.035 5.83 25.29 224 0.875 bicubic bilinear +6.609 +6.585 +2.417 +2.405 +7 +11
190 seresnext26tn_32x4d resnet34d 83.878 84.104 16.122 15.896 95.931 95.975 4.069 4.025 16.81 21.82 224 0.875 bicubic +5.892 +6.990 +2.185 +2.593 -15 +21
191 tv_resnet101 tf_efficientnet_lite2 83.848 84.096 16.152 15.904 95.892 96.063 4.108 3.937 44.55 6.09 224 260 0.875 0.890 bilinear bicubic +6.474 +6.614 +2.352 +2.315 +1 +10
192 inception_v3 efficientnet_b0 83.761 84.043 16.239 15.957 95.879 95.960 4.121 4.040 23.83 5.29 299 224 0.875 bicubic +6.323 +6.337 +2.403 +2.438 -1 +2
193 seresnext26d_32x4d seresnext26t_32x4d 83.754 83.985 16.246 16.015 95.849 95.867 4.151 4.133 16.81 16.82 224 0.875 bicubic +6.152 +5.997 +2.241 +2.134 -7 -6
194 vit_small_patch16_224 tf_efficientnet_cc_b0_8e 83.735 83.970 16.265 16.030 95.758 96.067 4.242 3.933 48.75 24.01 224 0.900 0.875 bicubic +5.877 +6.062 +2.342 +2.415 -12 -5
195 dla60 regnety_016 83.729 83.955 16.271 16.045 95.933 96.001 4.067 3.999 22.04 11.20 224 0.875 bilinear bicubic +6.697 +6.087 +2.615 +2.275 +8 -5
196 legacy_seresnet50 tv_resnext50_32x4d 83.662 83.955 16.337 16.045 95.973 95.943 4.027 4.057 28.09 25.03 224 0.875 bilinear +6.032 +6.341 +2.225 +2.259 -12 0
197 tf_efficientnet_b0_ap gluon_resnet50_v1b 83.650 83.942 16.350 16.058 95.779 96.016 4.221 3.984 5.29 25.56 224 0.875 bicubic +6.564 +6.364 +2.523 +2.298 +5 +2
198 tf_efficientnet_es densenet161 83.647 83.902 16.352 16.098 95.939 96.010 4.061 3.990 5.44 28.68 224 0.875 bicubic +6.389 +6.542 +2.345 +2.376 0 +6
199 skresnet34 seresnext26tn_32x4d 83.641 83.887 16.359 16.113 95.933 95.939 4.067 4.061 22.28 16.81 224 0.875 bicubic +6.729 +5.901 +2.611 +2.195 +7 -11
200 tf_efficientnet_cc_b0_4e adv_inception_v3 83.639 83.882 16.361 16.118 95.740 95.941 4.260 4.059 13.31 23.83 224 299 0.875 bicubic +6.333 +6.300 +2.406 +2.201 -6 -2
201 densenet201 mobilenetv2_120d 83.556 83.882 16.444 16.118 95.811 95.911 4.189 4.089 20.01 5.83 224 0.875 bicubic +6.270 +6.604 +2.333 +2.401 -6 +7
202 legacy_seresnext26_32x4d tv_resnet101 83.517 83.853 16.483 16.148 95.719 95.888 4.281 4.112 16.79 44.55 224 0.875 bicubic bilinear +6.413 +6.487 +2.403 +2.332 -1 +1
203 mixnet_m inception_v3 83.515 83.771 16.485 16.229 95.689 95.898 4.311 4.101 5.01 23.83 224 299 0.875 bicubic +6.255 +6.307 +2.265 +2.422 -6 -1
204 tf_efficientnet_b0 dla60 83.515 83.735 16.485 16.265 95.719 95.931 4.281 4.069 5.29 22.04 224 0.875 bicubic bilinear +6.667 +6.699 +2.491 +2.607 +3 +10
205 hrnet_w18 vit_small_patch16_224 83.500 83.731 16.500 16.269 95.907 95.753 4.093 4.247 21.30 48.75 224 0.875 0.900 bilinear bicubic +6.742 +5.877 +2.463 +2.329 +4 -12
206 densenetblur121d seresnext26d_32x4d 83.472 83.727 16.527 16.273 95.822 95.845 4.178 4.155 8.00 16.81 224 0.875 bicubic +6.884 +6.141 +2.630 +2.237 +6 -9
207 selecsls42b legacy_seresnet50 83.457 83.665 16.543 16.335 95.745 95.975 4.255 4.025 32.46 28.09 224 0.875 bicubic bilinear +6.284 +6.029 +2.355 +2.231 -8 -12
208 tf_efficientnet_lite1 tf_efficientnet_b0_ap 83.344 83.665 16.656 16.335 95.642 95.783 4.358 4.217 5.42 5.29 240 224 0.882 0.875 bicubic +6.702 +6.563 +2.416 +2.519 +3 +5
209 regnetx_016 skresnet34 83.195 83.652 16.805 16.348 95.740 95.924 4.260 4.076 9.19 22.28 224 0.875 bicubic +6.245 +6.722 +2.320 +2.602 -5 +8
210 mobilenetv2_140 tf_efficientnet_es 83.182 83.643 16.818 16.357 95.689 95.941 4.311 4.059 6.11 5.44 224 0.875 bicubic +6.666 +6.359 +2.693 +2.337 +3 -3
211 dpn68 tf_efficientnet_cc_b0_4e 83.178 83.641 16.822 16.359 95.597 95.730 4.402 4.270 12.61 13.31 224 0.875 bicubic +6.860 +6.321 +2.620 +2.408 +3 -6
212 tf_mixnet_m densenet201 83.176 83.549 16.824 16.451 95.461 95.807 4.539 4.193 5.01 20.01 224 0.875 bicubic +6.234 +6.259 +2.309 +2.327 -7 -6
213 ese_vovnet19b_dw legacy_seresnext26_32x4d 83.109 83.522 16.890 16.478 95.779 95.719 4.221 4.281 6.54 16.79 224 0.875 bicubic +6.311 +6.416 +2.511 +2.411 -5 -1
214 resnet26d tf_efficientnet_b0 83.050 83.517 16.950 16.483 95.604 95.719 4.396 4.281 16.01 5.29 224 0.875 bicubic +6.354 +6.669 +2.454 +2.487 -4 +4
215 tv_resnet50 mixnet_m 82.958 83.513 17.042 16.487 95.467 95.691 4.533 4.309 25.56 5.01 224 0.875 bilinear bicubic +6.820 +6.239 +2.603 +2.269 +1 -6
216 densenet121 hrnet_w18 82.823 83.507 17.177 16.493 95.585 95.903 4.415 4.097 7.98 21.30 224 0.875 bicubic bilinear +7.245 +6.743 +2.933 +2.461 +6 +4
217 densenet169 densenetblur121d 82.683 83.483 17.317 16.517 95.600 95.822 4.400 4.178 14.15 8.00 224 0.875 bicubic +6.776 +6.897 +2.574 +2.626 +1 +6
218 mixnet_s selecsls42b 82.525 83.462 17.476 16.538 95.356 95.747 4.644 4.253 4.13 32.46 224 0.875 bicubic +6.532 +6.278 +2.560 +2.359 -1 -8
219 regnety_008 tf_efficientnet_lite1 82.493 83.361 17.508 16.639 95.487 95.642 4.513 4.358 6.26 5.42 224 240 0.875 0.882 bicubic +6.177 +6.695 +2.421 +2.404 -4 +3
220 efficientnet_lite0 regnetx_016 82.382 83.184 17.619 16.816 95.279 95.743 4.721 4.257 4.65 9.19 224 0.875 bicubic +6.898 +6.238 +2.769 +2.317 +5 -4
221 resnest14d dpn68 82.349 83.174 17.651 16.826 95.339 95.589 4.661 4.411 10.61 12.61 224 0.875 bilinear bicubic +6.845 +6.862 +2.821 +2.621 +3 +5
222 mobilenetv3_rw tf_mixnet_m 82.275 83.174 17.725 16.826 95.234 95.467 4.766 4.533 5.48 5.01 224 0.875 bicubic +6.641 +6.218 +2.526 +2.303 -1 -7
223 semnasnet_100 mobilenetv2_140 82.251 83.171 17.749 16.829 95.230 95.689 4.770 4.311 3.89 6.11 224 0.875 bicubic +6.803 +6.659 +2.626 +2.691 +3 +1
224 mobilenetv3_large_100 ese_vovnet19b_dw 82.177 83.109 17.823 16.890 95.196 95.787 4.804 4.213 5.48 6.54 224 0.875 bicubic +6.410 +6.291 +2.654 +2.510 -5
225 resnet34 resnet26d 82.138 83.037 17.862 16.963 95.130 95.595 4.870 4.405 21.80 16.01 224 0.875 bilinear bicubic +7.028 +6.349 +2.846 +2.449 +6 -4
226 mobilenetv2_110d tv_resnet50 82.070 82.962 17.930 17.038 95.076 95.472 4.923 4.529 4.52 25.56 224 0.875 bicubic bilinear +7.034 +6.804 +2.890 +2.594 +7 +1
227 tf_mixnet_s densenet121 82.038 82.811 17.962 17.189 95.121 95.587 4.879 4.413 4.13 7.98 224 0.875 bicubic +6.388 +7.247 +2.491 +2.939 -7 +6
228 hrnet_w18_small_v2 densenet169 81.961 82.661 18.039 17.339 95.164 95.595 4.836 4.405 15.60 14.15 224 0.875 bilinear bicubic +6.847 +6.763 +2.748 +2.573 +2 +1
229 tf_efficientnet_lite0 mixnet_s 81.952 82.529 18.048 17.471 95.168 95.352 4.832 4.648 4.65 4.13 224 0.875 bicubic +7.122 +6.535 +2.992 +2.562 +5 -1
230 resnet26 regnety_008 81.944 82.478 18.056 17.523 95.241 95.476 4.759 4.524 16.00 6.26 224 0.875 bicubic +6.652 +6.158 +2.671 +2.408 -3 -5
231 tf_mobilenetv3_large_100 efficientnet_lite0 81.848 82.388 18.152 17.612 95.070 95.279 4.930 4.721 5.48 4.65 224 0.875 bilinear bicubic +6.330 +6.886 +2.464 +2.765 -8 +5
232 tv_densenet121 resnest14d 81.726 82.364 18.274 17.636 95.034 95.324 4.966 4.676 7.98 10.61 224 0.875 bicubic bilinear +6.988 +6.850 +2.884 +2.806 +4 +2
233 regnety_006 mobilenetv3_rw 81.700 82.270 18.300 17.730 95.115 95.241 4.885 4.759 6.06 5.48 224 0.875 bicubic +6.454 +6.650 +2.583 +2.529 -5 -1
234 dla34 semnasnet_100 81.658 82.253 18.342 17.747 94.878 95.234 5.122 4.766 15.74 3.89 224 0.875 bilinear bicubic +7.028 +6.801 +2.800 +2.624 +4 +3
235 fbnetc_100 mobilenetv3_large_100 81.559 82.172 18.441 17.828 94.970 95.194 5.030 4.806 5.57 5.48 224 0.875 bilinear bicubic +6.436 +6.398 +2.584 +2.656 -6 -5
236 legacy_seresnet34 resnet34 81.534 82.125 18.466 17.875 94.899 95.134 5.101 4.866 21.96 21.80 224 0.875 bilinear +6.726 +7.019 +2.775 +2.858 -1 +6
237 gluon_resnet34_v1b mobilenetv2_110d 81.500 82.074 18.500 17.926 94.810 95.076 5.190 4.923 21.80 4.52 224 0.875 bicubic +6.912 +7.026 +2.820 +2.886 +2 +7
238 regnetx_008 tf_mixnet_s 81.485 82.040 18.515 17.960 95.059 95.128 4.941 4.872 7.26 4.13 224 0.875 bicubic +6.447 +6.358 +2.724 +2.490 -6 -7
239 mnasnet_100 hrnet_w18_small_v2 81.459 81.959 18.541 18.041 94.899 95.166 5.101 4.834 4.38 15.60 224 0.875 bicubic bilinear +6.801 +6.851 +2.785 +2.754 -2 +2
240 spnasnet_100 tf_efficientnet_lite0 80.878 81.950 19.122 18.050 94.526 95.164 5.474 4.836 4.42 4.65 224 0.875 bilinear bicubic +6.794 +7.118 +2.708 +2.990 0 +5
241 regnety_004 resnet26 80.659 81.933 19.341 18.067 94.686 95.237 5.314 4.763 4.34 16.00 224 0.875 bicubic +6.625 +6.643 +2.934 +2.671 0 -3
242 skresnet18 tf_mobilenetv3_large_100 80.637 81.841 19.363 18.159 94.378 95.076 5.622 4.923 11.96 5.48 224 0.875 bicubic bilinear +7.599 +6.331 +3.210 +2.466 +4 -7
243 regnetx_006 tv_densenet121 80.629 81.724 19.371 18.276 94.524 95.034 5.476 4.966 6.20 7.98 224 0.875 bicubic +6.777 +6.982 +2.852 +2.880 -1 +4
244 swsl_resnet18 regnety_006 80.575 81.705 19.425 18.295 94.743 95.109 5.256 4.891 11.69 6.06 224 0.875 bilinear bicubic +7.299 +6.437 +3.010 +2.579 +1 -5
245 tv_resnet34 dla34 80.389 81.658 19.611 18.342 94.436 94.872 5.564 5.128 21.80 15.74 224 0.875 bilinear +7.077 +7.034 +3.010 +2.810 -1 +4
246 resnet18d fbnetc_100 80.387 81.553 19.613 18.447 94.252 94.953 5.748 5.047 11.71 5.57 224 0.875 bicubic bilinear +8.127 +6.437 +3.556 +2.579 +5 -6
247 mobilenetv2_100 legacy_seresnet34 80.257 81.527 19.743 18.473 94.195 94.899 5.805 5.101 3.50 21.96 224 0.875 bicubic bilinear +7.287 +6.737 +3.179 +2.773 0 -1
248 ssl_resnet18 regnetx_008 80.101 81.510 19.899 18.490 94.590 95.057 5.410 4.943 11.69 7.26 224 0.875 bilinear bicubic +7.491 +6.458 +3.174 +2.715 0 -5
249 tf_mobilenetv3_large_075 gluon_resnet34_v1b 80.093 81.487 19.907 18.513 94.184 94.812 5.816 5.188 3.99 21.80 224 0.875 bilinear bicubic +6.655 +6.899 +2.834 +2.816 -6 +1
250 hrnet_w18_small mnasnet_100 79.555 81.478 20.445 18.522 93.898 94.895 6.102 5.105 13.19 4.38 224 0.875 bilinear bicubic +7.213 +6.808 +3.220 +2.793 0 -2
251 regnetx_004 spnasnet_100 79.435 80.872 20.565 19.128 93.853 94.511 6.147 5.489 5.16 4.42 224 0.875 bicubic bilinear +7.039 +6.792 +3.023 +2.691 -2 0
252 tf_mobilenetv3_large_minimal_100 regnety_004 79.222 80.654 20.778 19.346 93.706 94.697 6.294 5.303 3.92 4.34 224 0.875 bilinear bicubic +6.974 +6.636 +3.076 +2.933 0
253 legacy_seresnet18 skresnet18 79.153 80.629 20.847 19.371 93.783 94.385 6.217 5.615 11.78 11.96 224 0.875 bicubic +7.411 +7.603 +3.449 +3.213 0 +4
254 gluon_resnet18_v1b regnetx_006 78.372 80.612 21.628 19.389 93.138 94.524 6.862 5.476 11.69 6.20 224 0.875 bicubic +7.536 +6.768 +3.376 +2.846 0 -1
255 regnety_002 swsl_resnet18 77.405 80.571 22.595 19.429 92.914 94.750 7.086 5.250 3.16 11.69 224 0.875 bicubic bilinear +7.153 +7.291 +3.374 +2.992 0 +1
256 resnet18 resnet18d 77.276 80.387 22.724 19.613 92.756 94.252 7.244 5.748 11.69 11.71 224 0.875 bilinear bicubic +7.528 +8.113 +3.678 +3.564 0 +6
257 regnetx_002 tv_resnet34 76.124 80.374 23.876 19.625 92.211 94.432 7.789 5.568 2.68 21.80 224 0.875 bicubic bilinear +7.362 +7.070 +3.655 +3.008 0 -2
258 dla60x_c mobilenetv2_100 75.637 80.268 24.363 19.732 92.177 94.197 7.823 5.803 1.32 3.50 224 0.875 bilinear bicubic +7.745 +7.318 +3.751 +3.195 +1 0
259 tf_mobilenetv3_small_100 ssl_resnet18 74.717 80.112 25.283 19.888 91.257 94.594 8.743 5.406 2.54 11.69 224 0.875 bilinear +6.795 +7.496 +3.593 +3.178 -1 0
260 dla46x_c tf_mobilenetv3_large_075 73.647 80.088 26.353 19.912 91.095 94.188 8.905 5.812 1.07 3.99 224 0.875 bilinear +7.677 +6.640 +4.115 +2.846 0 -6
261 tf_mobilenetv3_small_075 hrnet_w18_small 72.812 79.537 27.188 20.462 90.036 93.909 9.964 6.091 2.04 13.19 224 0.875 bilinear +7.096 +7.201 +3.906 +3.225 0
262 dla46_c regnetx_004 72.603 79.439 27.397 20.561 90.499 93.843 9.501 6.157 1.30 5.16 224 0.875 bilinear bicubic +7.737 +7.045 +4.207 +3.025 0 -2
263 tf_mobilenetv3_small_minimal_100 tf_mobilenetv3_large_minimal_100 70.111 79.226 29.889 20.774 88.505 93.712 11.495 6.288 2.04 3.92 224 0.875 bilinear +7.205 +6.982 +4.275 +3.076 0
264 legacy_seresnet18 79.145 20.855 93.778 6.222 11.78 224 0.875 bicubic +7.409 +3.436 0
265 gluon_resnet18_v1b 78.378 21.622 93.134 6.866 11.69 224 0.875 bicubic +7.540 +3.376 0
266 regnety_002 77.409 22.591 92.916 7.084 3.16 224 0.875 bicubic +7.131 +3.370 0
267 resnet18 77.274 22.726 92.760 7.240 11.69 224 0.875 bilinear +7.532 +3.674 0
268 regnetx_002 76.106 23.893 92.207 7.793 2.68 224 0.875 bicubic +7.353 +3.647 0
269 dla60x_c 75.658 24.342 92.166 7.834 1.32 224 0.875 bilinear +7.746 +3.748 +1
270 tf_mobilenetv3_small_100 74.734 25.266 91.274 8.726 2.54 224 0.875 bilinear +6.812 +3.598 -1
271 dla46x_c 73.647 26.353 91.112 8.888 1.07 224 0.875 bilinear +7.671 +4.124 0
272 tf_mobilenetv3_small_075 72.821 27.179 90.031 9.969 2.04 224 0.875 bilinear +7.097 +3.897 0
273 dla46_c 72.601 27.399 90.495 9.505 1.30 224 0.875 bilinear +7.731 +4.201 0
274 tf_mobilenetv3_small_minimal_100 70.109 29.891 88.516 11.485 2.04 224 0.875 bilinear +7.199 +4.272 0
275 inception_v4 1.507 98.493 19.038 80.962 42.68 299 0.875 bicubic +0.499 +2.184 0
276 pnasnet5large 1.478 98.522 20.749 79.251 86.06 331 0.911 bicubic +0.493 +2.173 +1
277 ens_adv_inception_resnet_v2 1.428 98.572 19.416 80.584 55.85 299 0.897 bicubic +0.430 +2.092 -1
278 inception_resnet_v2 1.415 98.585 19.444 80.556 55.85 299 0.897 bicubic +0.466 +2.150 0

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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
tf_efficientnet_b7_ns,86.840,13.160,98.094,1.906,66.35,600,0.949,bicubic
tf_efficientnet_b6_ns,86.452,13.548,97.882,2.118,43.04,528,0.942,bicubic
tf_efficientnet_b5_ns,86.088,13.912,97.752,2.248,30.39,456,0.934,bicubic
ig_resnext101_32x48d,85.428,14.572,97.572,2.428,828.41,224,0.875,bilinear
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
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
tf_efficientnet_b7,84.936,15.064,97.204,2.796,66.35,600,0.949,bicubic
tf_efficientnet_b6_ap,84.788,15.212,97.138,2.862,43.04,528,0.942,bicubic
resnest269e,84.518,15.482,96.986,3.014,110.93,416,0.928,bicubic
swsl_resnext101_32x8d,84.284,15.716,97.176,2.824,88.79,224,0.875,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
tf_efficientnet_b6,84.110,15.890,96.886,3.114,43.04,528,0.942,bicubic
tf_efficientnet_b3_ns,84.048,15.952,96.910,3.090,12.23,300,0.904,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
swsl_resnext101_32x16d,83.346,16.654,96.846,3.154,194.03,224,0.875,bilinear
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
tresnet_xl_448,83.050,16.950,96.174,3.826,78.44,448,0.875,bilinear
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
pnasnet5large,82.782,17.218,96.040,3.960,86.06,331,0.911,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
tf_efficientnet_b2_ns,82.380,17.620,96.248,3.752,9.11,260,0.890,bicubic
tresnet_l_448,82.268,17.732,95.976,4.024,55.99,448,0.875,bilinear
efficientnet_b3a,82.242,17.758,96.114,3.886,12.23,320,1.000,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
efficientnet_b3,82.076,17.924,96.020,3.980,12.23,300,0.904,bicubic
tresnet_xl,82.054,17.946,95.936,4.064,78.44,224,0.875,bilinear
regnety_032,82.002,17.998,95.906,4.094,19.44,224,0.875,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
tresnet_m_448,81.714,18.286,95.572,4.428,31.39,448,0.875,bilinear
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
tf_efficientnet_lite4,81.536,18.464,95.668,4.332,13.01,380,0.920,bilinear
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
tf_efficientnet_b1_ns,81.388,18.612,95.738,4.262,7.79,240,0.882,bicubic
legacy_senet154,81.310,18.690,95.496,4.504,115.09,224,0.875,bilinear
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
swsl_resnet50,81.166,18.834,95.972,4.028,25.56,224,0.875,bilinear
resnest50d_4s2x40d,81.108,18.892,95.558,4.442,30.42,224,0.875,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
ssl_resnext101_32x4d,80.924,19.076,95.728,4.272,44.18,224,0.875,bilinear
gluon_seresnext101_32x4d,80.904,19.096,95.294,4.706,48.96,224,0.875,bicubic
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
tresnet_m,80.802,19.198,94.860,5.140,31.39,224,0.875,bilinear
efficientnet_b2a,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
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,80.462,19.538,95.248,4.752,30.16,224,0.875,bicubic
inception_resnet_v2,80.458,19.542,95.306,4.694,55.84,299,0.897,bicubic
tf_efficientnet_el,80.440,19.560,95.164,4.836,10.59,300,0.904,bicubic
gluon_resnet101_v1d,80.414,19.586,95.014,4.986,44.57,224,0.875,bicubic
efficientnet_b2,80.392,19.608,95.076,4.924,9.11,260,0.875,bicubic
regnety_120,80.366,19.634,95.126,4.874,51.82,224,0.875,bicubic
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
tf_efficientnet_b2_ap,80.300,19.700,95.028,4.972,9.11,260,0.890,bicubic
regnety_160,80.296,19.704,94.962,5.038,83.59,224,0.875,bicubic
seresnet50,80.274,19.726,95.070,4.930,28.09,224,0.875,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
inception_v4,80.168,19.832,94.968,5.032,42.68,299,0.875,bicubic
tf_efficientnet_l2_ns,88.350,11.650,98.656,1.344,480.31,800,0.960,bicubic
tf_efficientnet_l2_ns_475,88.240,11.760,98.550,1.450,480.31,475,0.936,bicubic
tf_efficientnet_b7_ns,86.828,13.172,98.084,1.916,66.35,600,0.949,bicubic
tf_efficientnet_b6_ns,86.448,13.552,97.880,2.120,43.04,528,0.942,bicubic
tf_efficientnet_b5_ns,86.078,13.922,97.752,2.248,30.39,456,0.934,bicubic
ig_resnext101_32x48d,85.424,14.576,97.578,2.422,828.41,224,0.875,bilinear
tf_efficientnet_b8_ap,85.374,14.626,97.298,2.702,87.41,672,0.954,bicubic
tf_efficientnet_b8,85.350,14.650,97.390,2.610,87.41,672,0.954,bicubic
vit_large_patch16_384,85.166,14.834,97.362,2.638,304.72,384,1.000,bicubic
tf_efficientnet_b4_ns,85.150,14.850,97.470,2.530,19.34,380,0.922,bicubic
tf_efficientnet_b7_ap,85.120,14.880,97.250,2.750,66.35,600,0.949,bicubic
ig_resnext101_32x32d,85.090,14.910,97.440,2.560,468.53,224,0.875,bilinear
vit_base_resnet50_384,84.986,15.014,97.296,2.704,98.95,384,1.000,bicubic
resnetv2_152x4_bitm,84.948,15.052,97.450,2.550,936.53,480,1.000,bilinear
tf_efficientnet_b7,84.934,15.066,97.204,2.796,66.35,600,0.949,bicubic
tf_efficientnet_b6_ap,84.786,15.214,97.138,2.862,43.04,528,0.942,bicubic
resnest269e,84.526,15.474,96.986,3.014,110.93,416,0.928,bicubic
resnetv2_152x2_bitm,84.404,15.596,97.434,2.566,236.34,480,1.000,bilinear
resnetv2_101x3_bitm,84.382,15.618,97.366,2.634,387.93,480,1.000,bilinear
seresnet152d_320,84.364,15.636,97.040,2.960,66.84,320,1.000,bicubic
swsl_resnext101_32x8d,84.270,15.730,97.170,2.830,88.79,224,0.875,bilinear
tf_efficientnet_b5_ap,84.254,15.746,96.974,3.026,30.39,456,0.934,bicubic
vit_base_patch16_384,84.202,15.798,97.218,2.782,86.86,384,1.000,bicubic
ig_resnext101_32x16d,84.164,15.836,97.194,2.806,194.03,224,0.875,bilinear
tf_efficientnet_b6,84.114,15.886,96.888,3.112,43.04,528,0.942,bicubic
tf_efficientnet_b3_ns,84.044,15.956,96.910,3.090,12.23,300,0.904,bicubic
resnet200d_320,83.968,16.032,96.818,3.182,64.69,320,1.000,bicubic
resnest200e,83.852,16.148,96.890,3.110,70.20,320,0.909,bicubic
tf_efficientnet_b5,83.808,16.192,96.746,3.254,30.39,456,0.934,bicubic
resnetv2_50x3_bitm,83.752,16.248,97.120,2.880,217.32,480,1.000,bilinear
seresnet152d,83.740,16.260,96.770,3.230,66.84,256,0.940,bicubic
resnet152d_320,83.666,16.334,96.734,3.266,60.21,320,1.000,bicubic
swsl_resnext101_32x16d,83.344,16.656,96.840,3.160,194.03,224,0.875,bilinear
tf_efficientnet_b4_ap,83.256,16.744,96.394,3.606,19.34,380,0.922,bicubic
resnet200d,83.242,16.758,96.488,3.512,64.69,256,0.940,bicubic
swsl_resnext101_32x4d,83.222,16.778,96.768,3.232,44.18,224,0.875,bilinear
resnet152d,83.134,16.866,96.350,3.650,60.21,256,0.940,bicubic
vit_large_patch16_224,83.060,16.940,96.444,3.556,304.33,224,0.900,bicubic
tresnet_xl_448,83.056,16.944,96.186,3.814,78.44,448,0.875,bilinear
tf_efficientnet_b4,83.026,16.974,96.298,3.702,19.34,380,0.922,bicubic
resnet101d_320,83.024,16.976,96.456,3.544,44.57,320,1.000,bicubic
resnest101e,82.878,17.122,96.314,3.686,48.28,256,0.875,bilinear
ig_resnext101_32x8d,82.696,17.304,96.644,3.356,88.79,224,0.875,bilinear
nasnetalarge,82.626,17.374,96.050,3.950,88.75,331,0.911,bicubic
tf_efficientnet_b2_ns,82.392,17.608,96.238,3.762,9.11,260,0.890,bicubic
resnet101d,82.310,17.690,96.064,3.936,44.57,256,0.940,bicubic
tresnet_l_448,82.260,17.740,95.978,4.022,55.99,448,0.875,bilinear
efficientnet_b3a,82.254,17.746,96.114,3.886,12.23,320,1.000,bicubic
resnetv2_101x1_bitm,82.214,17.786,96.472,3.528,44.54,480,1.000,bilinear
ecaresnet101d,82.176,17.824,96.056,3.944,44.57,224,0.875,bicubic
swsl_resnext50_32x4d,82.172,17.828,96.232,3.768,25.03,224,0.875,bilinear
efficientnet_b3,82.082,17.918,96.026,3.974,12.23,300,0.904,bicubic
tresnet_xl,82.054,17.946,95.932,4.068,78.44,224,0.875,bilinear
regnety_032,82.008,17.992,95.912,4.088,19.44,224,0.875,bicubic
ssl_resnext101_32x16d,81.838,18.162,96.092,3.908,194.03,224,0.875,bilinear
tf_efficientnet_b3_ap,81.822,18.178,95.620,4.380,12.23,300,0.904,bicubic
vit_base_patch16_224,81.784,18.216,96.126,3.874,86.57,224,0.900,bicubic
tresnet_m_448,81.718,18.282,95.566,4.434,31.39,448,0.875,bilinear
vit_base_patch32_384,81.656,18.344,96.130,3.870,88.30,384,1.000,bicubic
tf_efficientnet_b3,81.646,18.354,95.722,4.278,12.23,300,0.904,bicubic
rexnet_200,81.626,18.374,95.672,4.328,16.37,224,0.875,bicubic
ssl_resnext101_32x8d,81.606,18.394,96.044,3.956,88.79,224,0.875,bilinear
tf_efficientnet_lite4,81.536,18.464,95.660,4.340,13.01,380,0.920,bilinear
tresnet_l,81.486,18.514,95.620,4.380,55.99,224,0.875,bilinear
wide_resnet50_2,81.452,18.548,95.522,4.478,68.88,224,0.875,bicubic
tf_efficientnet_b1_ns,81.386,18.614,95.740,4.260,7.79,240,0.882,bicubic
legacy_senet154,81.326,18.674,95.508,4.492,115.09,224,0.875,bilinear
seresnext50_32x4d,81.274,18.726,95.618,4.382,27.56,224,0.875,bicubic
gluon_senet154,81.228,18.772,95.352,4.648,115.09,224,0.875,bicubic
swsl_resnet50,81.136,18.864,95.974,4.026,25.56,224,0.875,bilinear
resnest50d_4s2x40d,81.114,18.886,95.554,4.446,30.42,224,0.875,bicubic
gluon_resnet152_v1s,81.018,18.982,95.420,4.580,60.32,224,0.875,bicubic
resnest50d_1s4x24d,81.004,18.996,95.326,4.674,25.68,224,0.875,bicubic
resnest50d,80.958,19.042,95.378,4.622,27.48,224,0.875,bilinear
ssl_resnext101_32x4d,80.914,19.086,95.734,4.266,44.18,224,0.875,bilinear
gluon_seresnext101_64x4d,80.884,19.116,95.314,4.686,88.23,224,0.875,bicubic
gluon_seresnext101_32x4d,80.872,19.128,95.292,4.708,48.96,224,0.875,bicubic
efficientnet_b3_pruned,80.858,19.142,95.240,4.760,9.86,300,0.904,bicubic
ecaresnet101d_pruned,80.816,19.184,95.638,4.362,24.88,224,0.875,bicubic
tresnet_m,80.804,19.196,94.858,5.142,31.39,224,0.875,bilinear
regnety_320,80.798,19.202,95.246,4.754,145.05,224,0.875,bicubic
gluon_resnext101_64x4d,80.630,19.370,94.998,5.002,83.46,224,0.875,bicubic
ecaresnet50d,80.614,19.386,95.308,4.692,25.58,224,0.875,bicubic
efficientnet_b2a,80.614,19.386,95.318,4.682,9.11,288,1.000,bicubic
resnet50d,80.548,19.452,95.158,4.842,25.58,224,0.875,bicubic
gluon_resnet152_v1d,80.478,19.522,95.200,4.800,60.21,224,0.875,bicubic
mixnet_xl,80.474,19.526,94.934,5.066,11.90,224,0.875,bicubic
ecaresnetlight,80.458,19.542,95.250,4.750,30.16,224,0.875,bicubic
tf_efficientnet_el,80.448,19.552,95.170,4.830,10.59,300,0.904,bicubic
gluon_resnet101_v1d,80.402,19.598,95.020,4.980,44.57,224,0.875,bicubic
efficientnet_b2,80.378,19.622,95.078,4.922,9.11,260,0.875,bicubic
regnety_120,80.378,19.622,95.122,4.878,51.82,224,0.875,bicubic
gluon_resnext101_32x4d,80.334,19.666,94.908,5.092,44.18,224,0.875,bicubic
rexnet_150,80.310,19.690,95.162,4.838,9.73,224,0.875,bicubic
ssl_resnext50_32x4d,80.302,19.698,95.412,4.588,25.03,224,0.875,bilinear
tf_efficientnet_b2_ap,80.302,19.698,95.032,4.968,9.11,260,0.890,bicubic
gluon_resnet101_v1s,80.286,19.714,95.160,4.840,44.67,224,0.875,bicubic
regnety_160,80.276,19.724,94.968,5.032,83.59,224,0.875,bicubic
seresnet50,80.258,19.742,95.066,4.934,28.09,224,0.875,bicubic
regnetx_320,80.254,19.746,95.030,4.970,107.81,224,0.875,bicubic
legacy_seresnext101_32x4d,80.228,19.772,95.020,4.980,48.96,224,0.875,bilinear
resnetv2_50x1_bitm,80.192,19.808,95.630,4.370,25.55,480,1.000,bilinear
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
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
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
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
regnetx_160,79.856,20.144,94.830,5.170,54.28,224,0.875,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
resnext50_32x4d,79.768,20.232,94.598,5.402,25.03,224,0.875,bicubic
regnety_064,79.722,20.278,94.768,5.232,30.58,224,0.875,bicubic
ecaresnet50d_pruned,79.716,20.284,94.880,5.120,19.94,224,0.875,bicubic
gluon_xception65,79.716,20.284,94.860,5.140,39.92,299,0.903,bicubic
gluon_resnet152_v1b,79.686,20.314,94.736,5.264,60.19,224,0.875,bicubic
resnext50d_32x4d,79.676,20.324,94.866,5.134,25.05,224,0.875,bicubic
dpn98,79.642,20.358,94.598,5.402,61.57,224,0.875,bicubic
regnetx_120,79.596,20.404,94.738,5.262,46.11,224,0.875,bicubic
cspresnet50,79.574,20.426,94.712,5.288,21.62,256,0.887,bilinear
xception65,79.552,20.448,94.654,5.346,39.92,299,0.903,bicubic
gluon_resnet101_v1c,79.534,20.466,94.578,5.422,44.57,224,0.875,bicubic
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
dla102x2,79.448,20.552,94.640,5.360,41.28,224,0.875,bilinear
gluon_resnext50_32x4d,79.354,20.646,94.426,5.574,25.03,224,0.875,bicubic
vit_base_patch16_224,79.348,20.652,94.512,5.488,86.54,224,0.900,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
hrnet_w48,79.300,20.700,94.512,5.488,77.47,224,0.875,bilinear
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
ssl_resnet50,79.222,20.778,94.832,5.168,25.56,224,0.875,bilinear
regnety_040,79.220,20.780,94.656,5.344,20.65,224,0.875,bicubic
dpn68b,79.216,20.784,94.414,5.586,12.61,224,0.875,bicubic
res2net101_26w_4s,79.198,20.802,94.432,5.568,45.21,224,0.875,bilinear
res2net50_26w_8s,79.198,20.802,94.368,5.632,48.40,224,0.875,bilinear
regnetx_080,79.194,20.806,94.560,5.440,39.57,224,0.875,bicubic
legacy_seresnext50_32x4d,79.078,20.922,94.436,5.564,27.56,224,0.875,bilinear
gluon_resnet50_v1d,79.074,20.926,94.470,5.530,25.58,224,0.875,bicubic
regnetx_064,79.072,20.928,94.458,5.542,26.21,224,0.875,bicubic
xception,79.052,20.948,94.392,5.608,22.86,299,0.897,bicubic
resnet50,79.038,20.962,94.390,5.610,25.56,224,0.875,bicubic
mixnet_l,78.976,21.024,94.182,5.818,7.33,224,0.875,bicubic
hrnet_w40,78.920,21.080,94.470,5.530,57.56,224,0.875,bilinear
hrnet_w44,78.896,21.104,94.368,5.632,67.06,224,0.875,bilinear
wide_resnet101_2,78.856,21.144,94.282,5.718,126.89,224,0.875,bilinear
tf_efficientnet_b1,78.826,21.174,94.198,5.802,7.79,240,0.882,bicubic
gluon_inception_v3,78.806,21.194,94.370,5.630,23.83,299,0.875,bicubic
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
tf_efficientnet_em,78.708,21.292,94.314,5.686,6.90,240,0.882,bicubic
efficientnet_b1,78.698,21.302,94.144,5.856,7.79,240,0.875,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
res2net50_26w_6s,78.570,21.430,94.124,5.876,37.05,224,0.875,bilinear
xception41,78.516,21.484,94.278,5.722,26.97,299,0.903,bicubic
dla102x,78.510,21.490,94.228,5.772,26.31,224,0.875,bilinear
regnetx_040,78.482,21.518,94.244,5.756,22.12,224,0.875,bicubic
resnest26d,78.478,21.522,94.298,5.702,17.07,224,0.875,bilinear
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
selecsls60b,78.412,21.588,94.174,5.826,32.77,224,0.875,bicubic
legacy_seresnet101,78.382,21.618,94.264,5.736,49.33,224,0.875,bilinear
tv_resnet152,78.312,21.688,94.038,5.962,60.19,224,0.875,bilinear
dla60x,78.246,21.754,94.018,5.982,17.35,224,0.875,bilinear
res2next50,78.246,21.754,93.892,6.108,24.67,224,0.875,bilinear
efficientnet_b1_pruned,78.236,21.764,93.834,6.166,6.33,240,0.882,bicubic
hrnet_w30,78.206,21.794,94.222,5.778,37.71,224,0.875,bilinear
regnetx_032,78.172,21.828,94.088,5.912,15.30,224,0.875,bicubic
res2net50_14w_8s,78.150,21.850,93.848,6.152,25.06,224,0.875,bilinear
efficientnet_es,78.066,21.934,93.926,6.074,5.44,224,0.875,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,77.998,22.002,93.708,6.292,16.82,224,0.875,bicubic
seresnext26tn_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
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_v3,77.862,22.138,93.640,6.360,23.83,299,0.875,bicubic
rexnet_100,77.858,22.142,93.870,6.130,4.80,224,0.875,bicubic
vit_small_patch16_224,77.858,22.142,93.416,6.584,48.75,224,0.900,bicubic
efficientnet_b0,77.698,22.302,93.532,6.468,5.29,224,0.875,bicubic
legacy_seresnet50,77.630,22.370,93.748,6.252,28.09,224,0.875,bilinear
tv_resnext50_32x4d,77.620,22.380,93.696,6.304,25.03,224,0.875,bilinear
seresnext26d_32x4d,77.602,22.398,93.608,6.392,16.81,224,0.875,bicubic
adv_inception_v3,77.582,22.418,93.736,6.264,23.83,299,0.875,bicubic
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
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
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
tf_efficientnet_cc_b0_4e,77.306,22.694,93.334,6.666,13.31,224,0.875,bicubic
densenet201,77.286,22.714,93.478,6.522,20.01,224,0.875,bicubic
mobilenetv2_120d,77.284,22.716,93.492,6.508,5.83,224,0.875,bicubic
mixnet_m,77.260,22.740,93.424,6.576,5.01,224,0.875,bicubic
tf_efficientnet_es,77.258,22.742,93.594,6.406,5.44,224,0.875,bicubic
selecsls42b,77.174,22.826,93.390,6.610,32.46,224,0.875,bicubic
resnet34d,77.116,22.884,93.382,6.618,21.82,224,0.875,bicubic
legacy_seresnext26_32x4d,77.104,22.896,93.316,6.684,16.79,224,0.875,bicubic
tf_efficientnet_b0_ap,77.086,22.914,93.256,6.744,5.29,224,0.875,bicubic
dla60,77.032,22.968,93.318,6.682,22.04,224,0.875,bilinear
regnetx_016,76.950,23.050,93.420,6.580,9.19,224,0.875,bicubic
tf_mixnet_m,76.942,23.058,93.152,6.848,5.01,224,0.875,bicubic
skresnet34,76.912,23.088,93.322,6.678,22.28,224,0.875,bicubic
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
tf_efficientnet_lite1,76.642,23.358,93.226,6.774,5.42,240,0.882,bicubic
densenetblur121d,76.588,23.412,93.192,6.808,8.00,224,0.875,bicubic
mobilenetv2_140,76.516,23.484,92.996,7.004,6.11,224,0.875,bicubic
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
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
tf_mixnet_s,75.650,24.350,92.630,7.370,4.13,224,0.875,bicubic
mobilenetv3_rw,75.634,24.366,92.708,7.292,5.48,224,0.875,bicubic
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,75.504,24.496,92.518,7.482,10.61,224,0.875,bilinear
efficientnet_lite0,75.484,24.516,92.510,7.490,4.65,224,0.875,bicubic
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
fbnetc_100,75.124,24.876,92.386,7.614,5.57,224,0.875,bilinear
hrnet_w18_small_v2,75.114,24.886,92.416,7.584,15.60,224,0.875,bilinear
resnet34,75.110,24.890,92.284,7.716,21.80,224,0.875,bilinear
regnetx_008,75.038,24.962,92.336,7.664,7.26,224,0.875,bicubic
mobilenetv2_110d,75.036,24.964,92.186,7.814,4.52,224,0.875,bicubic
tf_efficientnet_lite0,74.830,25.170,92.176,7.824,4.65,224,0.875,bicubic
legacy_seresnet34,74.808,25.192,92.124,7.876,21.96,224,0.875,bilinear
tv_densenet121,74.738,25.262,92.150,7.850,7.98,224,0.875,bicubic
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
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
regnetx_006,73.852,26.148,91.672,8.328,6.20,224,0.875,bicubic
tf_mobilenetv3_large_075,73.438,26.562,91.350,8.650,3.99,224,0.875,bilinear
tv_resnet34,73.312,26.688,91.426,8.574,21.80,224,0.875,bilinear
swsl_resnet18,73.276,26.724,91.734,8.266,11.69,224,0.875,bilinear
skresnet18,73.038,26.962,91.168,8.832,11.96,224,0.875,bicubic
mobilenetv2_100,72.970,27.030,91.016,8.984,3.50,224,0.875,bicubic
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
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
legacy_seresnet18,71.742,28.258,90.334,9.666,11.78,224,0.875,bicubic
gluon_resnet18_v1b,70.836,29.164,89.762,10.238,11.69,224,0.875,bicubic
regnety_002,70.252,29.748,89.540,10.460,3.16,224,0.875,bicubic
resnet18,69.748,30.252,89.078,10.922,11.69,224,0.875,bilinear
regnetx_002,68.762,31.238,88.556,11.444,2.68,224,0.875,bicubic
tf_mobilenetv3_small_100,67.922,32.078,87.664,12.336,2.54,224,0.875,bilinear
dla60x_c,67.892,32.108,88.426,11.574,1.32,224,0.875,bilinear
dla46x_c,65.970,34.030,86.980,13.020,1.07,224,0.875,bilinear
tf_mobilenetv3_small_075,65.716,34.284,86.130,13.870,2.04,224,0.875,bilinear
dla46_c,64.866,35.134,86.292,13.708,1.30,224,0.875,bilinear
tf_mobilenetv3_small_minimal_100,62.906,37.094,84.230,15.770,2.04,224,0.875,bilinear
skresnext50_32x4d,80.146,19.854,94.640,5.360,27.48,224,0.875,bicubic
tf_efficientnet_b2,80.072,19.928,94.904,5.096,9.11,260,0.890,bicubic
cspdarknet53,80.048,19.952,95.092,4.908,27.64,256,0.887,bilinear
cspresnext50,80.046,19.954,94.944,5.056,20.57,224,0.875,bilinear
dpn92,79.990,20.010,94.844,5.156,37.67,224,0.875,bicubic
gluon_seresnext50_32x4d,79.924,20.076,94.822,5.178,27.56,224,0.875,bicubic
gluon_resnet152_v1c,79.914,20.086,94.848,5.152,60.21,224,0.875,bicubic
efficientnet_b2_pruned,79.906,20.094,94.856,5.144,8.31,260,0.890,bicubic
xception71,79.884,20.116,94.932,5.068,42.34,299,0.903,bicubic
regnety_080,79.870,20.130,94.830,5.170,39.18,224,0.875,bicubic
regnetx_160,79.838,20.162,94.824,5.176,54.28,224,0.875,bicubic
dpn131,79.826,20.174,94.712,5.288,79.25,224,0.875,bicubic
tf_efficientnet_lite3,79.826,20.174,94.908,5.092,8.20,300,0.904,bilinear
resnext50_32x4d,79.790,20.210,94.606,5.394,25.03,224,0.875,bicubic
regnety_064,79.732,20.268,94.764,5.236,30.58,224,0.875,bicubic
ecaresnet50d_pruned,79.712,20.288,94.876,5.124,19.94,224,0.875,bicubic
gluon_xception65,79.702,20.298,94.868,5.132,39.92,299,0.903,bicubic
gluon_resnet152_v1b,79.692,20.308,94.734,5.266,60.19,224,0.875,bicubic
resnext50d_32x4d,79.668,20.332,94.866,5.134,25.05,224,0.875,bicubic
dpn98,79.650,20.350,94.606,5.394,61.57,224,0.875,bicubic
regnetx_120,79.610,20.390,94.732,5.268,46.11,224,0.875,bicubic
cspresnet50,79.574,20.426,94.708,5.292,21.62,256,0.887,bilinear
xception65,79.550,20.450,94.658,5.342,39.92,299,0.903,bicubic
gluon_resnet101_v1c,79.532,20.468,94.588,5.412,44.57,224,0.875,bicubic
rexnet_130,79.494,20.506,94.674,5.326,7.56,224,0.875,bicubic
hrnet_w64,79.462,20.538,94.654,5.346,128.06,224,0.875,bilinear
dla102x2,79.442,20.558,94.646,5.354,41.28,224,0.875,bilinear
gluon_resnext50_32x4d,79.354,20.646,94.424,5.576,25.03,224,0.875,bicubic
tf_efficientnet_cc_b1_8e,79.326,20.674,94.372,5.628,39.72,240,0.882,bicubic
hrnet_w48,79.316,20.684,94.514,5.486,77.47,224,0.875,bilinear
ese_vovnet39b,79.312,20.688,94.722,5.278,24.57,224,0.875,bicubic
gluon_resnet101_v1b,79.304,20.696,94.530,5.470,44.55,224,0.875,bicubic
resnext101_32x8d,79.304,20.696,94.526,5.474,88.79,224,0.875,bilinear
resnetblur50,79.286,20.714,94.640,5.360,25.56,224,0.875,bicubic
tf_efficientnet_b1_ap,79.276,20.724,94.302,5.698,7.79,240,0.882,bicubic
efficientnet_em,79.264,20.736,94.790,5.210,6.90,240,0.882,bicubic
ssl_resnet50,79.236,20.764,94.830,5.170,25.56,224,0.875,bilinear
regnety_040,79.232,20.768,94.644,5.356,20.65,224,0.875,bicubic
dpn68b,79.212,20.788,94.422,5.578,12.61,224,0.875,bicubic
regnetx_080,79.212,20.788,94.554,5.446,39.57,224,0.875,bicubic
res2net101_26w_4s,79.194,20.806,94.434,5.566,45.21,224,0.875,bilinear
res2net50_26w_8s,79.192,20.808,94.368,5.632,48.40,224,0.875,bilinear
legacy_seresnext50_32x4d,79.084,20.916,94.434,5.566,27.56,224,0.875,bilinear
regnetx_064,79.064,20.936,94.470,5.530,26.21,224,0.875,bicubic
gluon_resnet50_v1d,79.064,20.936,94.460,5.540,25.58,224,0.875,bicubic
xception,79.046,20.954,94.396,5.604,22.86,299,0.897,bicubic
resnet50,79.036,20.964,94.392,5.608,25.56,224,0.875,bicubic
mixnet_l,78.980,21.020,94.182,5.818,7.33,224,0.875,bicubic
hrnet_w40,78.932,21.068,94.478,5.522,57.56,224,0.875,bilinear
hrnet_w44,78.890,21.110,94.374,5.626,67.06,224,0.875,bilinear
wide_resnet101_2,78.854,21.146,94.282,5.718,126.89,224,0.875,bilinear
tf_efficientnet_b1,78.844,21.156,94.196,5.804,7.79,240,0.882,bicubic
gluon_inception_v3,78.800,21.200,94.380,5.620,23.83,299,0.875,bicubic
tf_mixnet_l,78.776,21.224,94.002,5.998,7.33,224,0.875,bicubic
tf_efficientnet_em,78.712,21.288,94.328,5.672,6.90,240,0.882,bicubic
efficientnet_b1,78.706,21.294,94.154,5.846,7.79,240,0.875,bicubic
gluon_resnet50_v1s,78.700,21.300,94.246,5.754,25.68,224,0.875,bicubic
dla169,78.694,21.306,94.330,5.670,53.39,224,0.875,bilinear
legacy_seresnet152,78.666,21.334,94.376,5.624,66.82,224,0.875,bilinear
tf_efficientnet_b0_ns,78.660,21.340,94.372,5.628,5.29,224,0.875,bicubic
res2net50_26w_6s,78.566,21.434,94.120,5.880,37.05,224,0.875,bilinear
xception41,78.536,21.464,94.284,5.716,26.97,299,0.903,bicubic
dla102x,78.510,21.490,94.230,5.770,26.31,224,0.875,bilinear
regnetx_040,78.484,21.516,94.252,5.748,22.12,224,0.875,bicubic
resnest26d,78.480,21.520,94.300,5.700,17.07,224,0.875,bilinear
dla60_res2net,78.460,21.540,94.206,5.794,20.85,224,0.875,bilinear
hrnet_w32,78.446,21.554,94.190,5.810,41.23,224,0.875,bilinear
dla60_res2next,78.444,21.556,94.158,5.842,17.03,224,0.875,bilinear
selecsls60b,78.410,21.590,94.178,5.822,32.77,224,0.875,bicubic
legacy_seresnet101,78.380,21.620,94.262,5.738,49.33,224,0.875,bilinear
tv_resnet152,78.320,21.680,94.052,5.948,60.19,224,0.875,bilinear
dla60x,78.250,21.750,94.024,5.976,17.35,224,0.875,bilinear
efficientnet_b1_pruned,78.248,21.752,93.836,6.164,6.33,240,0.882,bicubic
res2next50,78.236,21.764,93.906,6.094,24.67,224,0.875,bilinear
hrnet_w30,78.206,21.794,94.224,5.776,37.71,224,0.875,bilinear
regnetx_032,78.148,21.852,94.088,5.912,15.30,224,0.875,bicubic
res2net50_14w_8s,78.138,21.862,93.856,6.144,25.06,224,0.875,bilinear
efficientnet_es,78.088,21.912,93.932,6.068,5.44,224,0.875,bicubic
dla102,78.030,21.970,93.952,6.048,33.27,224,0.875,bilinear
gluon_resnet50_v1c,78.008,21.992,93.988,6.012,25.58,224,0.875,bicubic
res2net50_26w_4s,77.992,22.008,93.852,6.148,25.70,224,0.875,bilinear
selecsls60,77.990,22.010,93.828,6.172,30.67,224,0.875,bicubic
seresnext26t_32x4d,77.988,22.012,93.732,6.268,16.82,224,0.875,bicubic
seresnext26tn_32x4d,77.986,22.014,93.744,6.256,16.81,224,0.875,bicubic
tf_efficientnet_cc_b0_8e,77.908,22.092,93.652,6.348,24.01,224,0.875,bicubic
regnety_016,77.868,22.132,93.726,6.274,11.20,224,0.875,bicubic
tf_inception_v3,77.866,22.134,93.646,6.354,23.83,299,0.875,bicubic
rexnet_100,77.862,22.138,93.878,6.122,4.80,224,0.875,bicubic
vit_small_patch16_224,77.854,22.146,93.424,6.576,48.75,224,0.900,bicubic
efficientnet_b0,77.706,22.294,93.522,6.478,5.29,224,0.875,bicubic
legacy_seresnet50,77.636,22.364,93.744,6.256,28.09,224,0.875,bilinear
tv_resnext50_32x4d,77.614,22.386,93.684,6.316,25.03,224,0.875,bilinear
seresnext26d_32x4d,77.586,22.414,93.608,6.392,16.81,224,0.875,bicubic
adv_inception_v3,77.582,22.418,93.740,6.260,23.83,299,0.875,bicubic
gluon_resnet50_v1b,77.578,22.422,93.718,6.282,25.56,224,0.875,bicubic
res2net50_48w_2s,77.534,22.466,93.560,6.440,25.29,224,0.875,bilinear
tf_efficientnet_lite2,77.482,22.518,93.748,6.252,6.09,260,0.890,bicubic
inception_v3,77.464,22.536,93.476,6.524,23.83,299,0.875,bicubic
tv_resnet101,77.366,22.634,93.556,6.444,44.55,224,0.875,bilinear
densenet161,77.360,22.640,93.634,6.366,28.68,224,0.875,bicubic
tf_efficientnet_cc_b0_4e,77.320,22.680,93.322,6.678,13.31,224,0.875,bicubic
densenet201,77.290,22.710,93.480,6.520,20.01,224,0.875,bicubic
tf_efficientnet_es,77.284,22.716,93.604,6.396,5.44,224,0.875,bicubic
mobilenetv2_120d,77.278,22.722,93.510,6.490,5.83,224,0.875,bicubic
mixnet_m,77.274,22.726,93.422,6.578,5.01,224,0.875,bicubic
selecsls42b,77.184,22.816,93.388,6.612,32.46,224,0.875,bicubic
resnet34d,77.114,22.886,93.382,6.618,21.82,224,0.875,bicubic
legacy_seresnext26_32x4d,77.106,22.894,93.308,6.692,16.79,224,0.875,bicubic
tf_efficientnet_b0_ap,77.102,22.898,93.264,6.736,5.29,224,0.875,bicubic
dla60,77.036,22.964,93.324,6.676,22.04,224,0.875,bilinear
tf_mixnet_m,76.956,23.044,93.164,6.836,5.01,224,0.875,bicubic
regnetx_016,76.946,23.054,93.426,6.574,9.19,224,0.875,bicubic
skresnet34,76.930,23.070,93.322,6.678,22.28,224,0.875,bicubic
tf_efficientnet_b0,76.848,23.152,93.232,6.768,5.29,224,0.875,bicubic
ese_vovnet19b_dw,76.818,23.182,93.278,6.722,6.54,224,0.875,bicubic
hrnet_w18,76.764,23.236,93.442,6.558,21.30,224,0.875,bilinear
resnet26d,76.688,23.312,93.146,6.854,16.01,224,0.875,bicubic
tf_efficientnet_lite1,76.666,23.334,93.238,6.762,5.42,240,0.882,bicubic
densenetblur121d,76.586,23.414,93.196,6.804,8.00,224,0.875,bicubic
mobilenetv2_140,76.512,23.488,92.998,7.002,6.11,224,0.875,bicubic
regnety_008,76.320,23.680,93.068,6.932,6.26,224,0.875,bicubic
dpn68,76.312,23.688,92.968,7.032,12.61,224,0.875,bicubic
tv_resnet50,76.158,23.842,92.878,7.122,25.56,224,0.875,bilinear
mixnet_s,75.994,24.006,92.790,7.210,4.13,224,0.875,bicubic
densenet169,75.898,24.102,93.022,6.978,14.15,224,0.875,bicubic
mobilenetv3_large_100,75.774,24.226,92.538,7.462,5.48,224,0.875,bicubic
tf_mixnet_s,75.682,24.318,92.638,7.362,4.13,224,0.875,bicubic
mobilenetv3_rw,75.620,24.380,92.712,7.288,5.48,224,0.875,bicubic
densenet121,75.564,24.436,92.648,7.352,7.98,224,0.875,bicubic
resnest14d,75.514,24.486,92.518,7.482,10.61,224,0.875,bilinear
tf_mobilenetv3_large_100,75.510,24.490,92.610,7.390,5.48,224,0.875,bilinear
efficientnet_lite0,75.502,24.498,92.514,7.486,4.65,224,0.875,bicubic
semnasnet_100,75.452,24.548,92.610,7.390,3.89,224,0.875,bicubic
resnet26,75.290,24.710,92.566,7.434,16.00,224,0.875,bicubic
regnety_006,75.268,24.732,92.530,7.470,6.06,224,0.875,bicubic
fbnetc_100,75.116,24.884,92.374,7.626,5.57,224,0.875,bilinear
hrnet_w18_small_v2,75.108,24.892,92.412,7.588,15.60,224,0.875,bilinear
resnet34,75.106,24.894,92.276,7.724,21.80,224,0.875,bilinear
regnetx_008,75.052,24.948,92.342,7.658,7.26,224,0.875,bicubic
mobilenetv2_110d,75.048,24.952,92.190,7.810,4.52,224,0.875,bicubic
tf_efficientnet_lite0,74.832,25.168,92.174,7.826,4.65,224,0.875,bicubic
legacy_seresnet34,74.790,25.210,92.126,7.874,21.96,224,0.875,bilinear
tv_densenet121,74.742,25.258,92.154,7.846,7.98,224,0.875,bicubic
mnasnet_100,74.670,25.330,92.102,7.898,4.38,224,0.875,bicubic
dla34,74.624,25.376,92.062,7.938,15.74,224,0.875,bilinear
gluon_resnet34_v1b,74.588,25.412,91.996,8.004,21.80,224,0.875,bicubic
spnasnet_100,74.080,25.920,91.820,8.180,4.42,224,0.875,bilinear
regnety_004,74.018,25.982,91.764,8.236,4.34,224,0.875,bicubic
regnetx_006,73.844,26.156,91.678,8.322,6.20,224,0.875,bicubic
tf_mobilenetv3_large_075,73.448,26.552,91.342,8.658,3.99,224,0.875,bilinear
tv_resnet34,73.304,26.696,91.424,8.576,21.80,224,0.875,bilinear
swsl_resnet18,73.280,26.720,91.758,8.242,11.69,224,0.875,bilinear
skresnet18,73.026,26.974,91.172,8.828,11.96,224,0.875,bicubic
mobilenetv2_100,72.950,27.050,91.002,8.998,3.50,224,0.875,bicubic
ssl_resnet18,72.616,27.384,91.416,8.584,11.69,224,0.875,bilinear
regnetx_004,72.394,27.606,90.818,9.182,5.16,224,0.875,bicubic
hrnet_w18_small,72.336,27.664,90.684,9.316,13.19,224,0.875,bilinear
resnet18d,72.274,27.726,90.688,9.312,11.71,224,0.875,bicubic
tf_mobilenetv3_large_minimal_100,72.244,27.756,90.636,9.364,3.92,224,0.875,bilinear
legacy_seresnet18,71.736,28.264,90.342,9.658,11.78,224,0.875,bicubic
gluon_resnet18_v1b,70.838,29.162,89.758,10.242,11.69,224,0.875,bicubic
regnety_002,70.278,29.722,89.546,10.454,3.16,224,0.875,bicubic
resnet18,69.742,30.258,89.086,10.914,11.69,224,0.875,bilinear
regnetx_002,68.754,31.246,88.560,11.440,2.68,224,0.875,bicubic
tf_mobilenetv3_small_100,67.922,32.078,87.676,12.324,2.54,224,0.875,bilinear
dla60x_c,67.912,32.088,88.418,11.582,1.32,224,0.875,bilinear
dla46x_c,65.976,34.024,86.988,13.012,1.07,224,0.875,bilinear
tf_mobilenetv3_small_075,65.724,34.276,86.134,13.866,2.04,224,0.875,bilinear
dla46_c,64.870,35.130,86.294,13.706,1.30,224,0.875,bilinear
tf_mobilenetv3_small_minimal_100,62.910,37.090,84.244,15.756,2.04,224,0.875,bilinear
inception_v4,1.008,98.992,16.854,83.146,42.68,299,0.875,bicubic
ens_adv_inception_resnet_v2,0.998,99.002,17.324,82.676,55.85,299,0.897,bicubic
pnasnet5large,0.984,99.016,18.576,81.424,86.06,331,0.911,bicubic
inception_resnet_v2,0.950,99.050,17.294,82.706,55.85,299,0.897,bicubic

1 model top1 top1_err top5 top5_err param_count img_size cropt_pct interpolation
2 tf_efficientnet_l2_ns 88.352 88.350 11.648 11.650 98.650 98.656 1.350 1.344 480.31 800 0.960 bicubic
3 tf_efficientnet_l2_ns_475 88.234 88.240 11.766 11.760 98.546 98.550 1.454 1.450 480.31 475 0.936 bicubic
4 tf_efficientnet_b7_ns 86.840 86.828 13.160 13.172 98.094 98.084 1.906 1.916 66.35 600 0.949 bicubic
5 tf_efficientnet_b6_ns 86.452 86.448 13.548 13.552 97.882 97.880 2.118 2.120 43.04 528 0.942 bicubic
6 tf_efficientnet_b5_ns 86.088 86.078 13.912 13.922 97.752 2.248 30.39 456 0.934 bicubic
7 ig_resnext101_32x48d 85.428 85.424 14.572 14.576 97.572 97.578 2.428 2.422 828.41 224 0.875 bilinear
8 tf_efficientnet_b8 tf_efficientnet_b8_ap 85.370 85.374 14.630 14.626 97.390 97.298 2.610 2.702 87.41 672 0.954 bicubic
9 tf_efficientnet_b8_ap tf_efficientnet_b8 85.370 85.350 14.630 14.650 97.294 97.390 2.706 2.610 87.41 672 0.954 bicubic
10 tf_efficientnet_b4_ns vit_large_patch16_384 85.162 85.166 14.838 14.834 97.470 97.362 2.530 2.638 19.34 304.72 380 384 0.922 1.000 bicubic
11 vit_large_patch16_384 tf_efficientnet_b4_ns 85.158 85.150 14.842 14.850 97.356 97.470 2.644 2.530 304.72 19.34 384 380 1.000 0.922 bicubic
12 tf_efficientnet_b7_ap 85.120 14.880 97.252 97.250 2.748 2.750 66.35 600 0.949 bicubic
13 ig_resnext101_32x32d 85.094 85.090 14.906 14.910 97.438 97.440 2.562 2.560 468.53 224 0.875 bilinear
14 tf_efficientnet_b7 vit_base_resnet50_384 84.936 84.986 15.064 15.014 97.204 97.296 2.796 2.704 66.35 98.95 600 384 0.949 1.000 bicubic
15 tf_efficientnet_b6_ap resnetv2_152x4_bitm 84.788 84.948 15.212 15.052 97.138 97.450 2.862 2.550 43.04 936.53 528 480 0.942 1.000 bicubic bilinear
16 resnest269e tf_efficientnet_b7 84.518 84.934 15.482 15.066 96.986 97.204 3.014 2.796 110.93 66.35 416 600 0.928 0.949 bicubic
17 swsl_resnext101_32x8d tf_efficientnet_b6_ap 84.284 84.786 15.716 15.214 97.176 97.138 2.824 2.862 88.79 43.04 224 528 0.875 0.942 bilinear bicubic
18 tf_efficientnet_b5_ap resnest269e 84.252 84.526 15.748 15.474 96.974 96.986 3.026 3.014 30.39 110.93 456 416 0.934 0.928 bicubic
19 vit_base_patch16_384 resnetv2_152x2_bitm 84.210 84.404 15.790 15.596 97.218 97.434 2.782 2.566 86.86 236.34 384 480 1.000 bicubic bilinear
20 ig_resnext101_32x16d resnetv2_101x3_bitm 84.170 84.382 15.830 15.618 97.196 97.366 2.804 2.634 194.03 387.93 224 480 0.875 1.000 bilinear
21 tf_efficientnet_b6 seresnet152d_320 84.110 84.364 15.890 15.636 96.886 97.040 3.114 2.960 43.04 66.84 528 320 0.942 1.000 bicubic
22 tf_efficientnet_b3_ns swsl_resnext101_32x8d 84.048 84.270 15.952 15.730 96.910 97.170 3.090 2.830 12.23 88.79 300 224 0.904 0.875 bicubic bilinear
23 resnest200e tf_efficientnet_b5_ap 83.832 84.254 16.168 15.746 96.894 96.974 3.106 3.026 70.20 30.39 320 456 0.909 0.934 bicubic
24 tf_efficientnet_b5 vit_base_patch16_384 83.812 84.202 16.188 15.798 96.748 97.218 3.252 2.782 30.39 86.86 456 384 0.934 1.000 bicubic
25 swsl_resnext101_32x16d ig_resnext101_32x16d 83.346 84.164 16.654 15.836 96.846 97.194 3.154 2.806 194.03 224 0.875 bilinear
26 tf_efficientnet_b4_ap tf_efficientnet_b6 83.248 84.114 16.752 15.886 96.392 96.888 3.608 3.112 19.34 43.04 380 528 0.922 0.942 bicubic
27 swsl_resnext101_32x4d tf_efficientnet_b3_ns 83.230 84.044 16.770 15.956 96.760 96.910 3.240 3.090 44.18 12.23 224 300 0.875 0.904 bilinear bicubic
28 tresnet_xl_448 resnet200d_320 83.050 83.968 16.950 16.032 96.174 96.818 3.826 3.182 78.44 64.69 448 320 0.875 1.000 bilinear bicubic
29 tf_efficientnet_b4 resnest200e 83.022 83.852 16.978 16.148 96.300 96.890 3.700 3.110 19.34 70.20 380 320 0.922 0.909 bicubic
30 resnest101e tf_efficientnet_b5 82.890 83.808 17.110 16.192 96.320 96.746 3.680 3.254 48.28 30.39 256 456 0.875 0.934 bilinear bicubic
31 pnasnet5large resnetv2_50x3_bitm 82.782 83.752 17.218 16.248 96.040 97.120 3.960 2.880 86.06 217.32 331 480 0.911 1.000 bicubic bilinear
32 ig_resnext101_32x8d seresnet152d 82.688 83.740 17.312 16.260 96.636 96.770 3.364 3.230 88.79 66.84 224 256 0.875 0.940 bilinear bicubic
33 nasnetalarge resnet152d_320 82.620 83.666 17.380 16.334 96.046 96.734 3.954 3.266 88.75 60.21 331 320 0.911 1.000 bicubic
34 tf_efficientnet_b2_ns swsl_resnext101_32x16d 82.380 83.344 17.620 16.656 96.248 96.840 3.752 3.160 9.11 194.03 260 224 0.890 0.875 bicubic bilinear
35 tresnet_l_448 tf_efficientnet_b4_ap 82.268 83.256 17.732 16.744 95.976 96.394 4.024 3.606 55.99 19.34 448 380 0.875 0.922 bilinear bicubic
36 efficientnet_b3a resnet200d 82.242 83.242 17.758 16.758 96.114 96.488 3.886 3.512 12.23 64.69 320 256 1.000 0.940 bicubic
37 swsl_resnext50_32x4d swsl_resnext101_32x4d 82.182 83.222 17.818 16.778 96.230 96.768 3.770 3.232 25.03 44.18 224 0.875 bilinear
38 ecaresnet101d resnet152d 82.172 83.134 17.828 16.866 96.046 96.350 3.954 3.650 44.57 60.21 224 256 0.875 0.940 bicubic
39 efficientnet_b3 vit_large_patch16_224 82.076 83.060 17.924 16.940 96.020 96.444 3.980 3.556 12.23 304.33 300 224 0.904 0.900 bicubic
40 tresnet_xl tresnet_xl_448 82.054 83.056 17.946 16.944 95.936 96.186 4.064 3.814 78.44 224 448 0.875 bilinear
41 regnety_032 tf_efficientnet_b4 82.002 83.026 17.998 16.974 95.906 96.298 4.094 3.702 19.44 19.34 224 380 0.875 0.922 bicubic
42 ssl_resnext101_32x16d resnet101d_320 81.844 83.024 18.156 16.976 96.096 96.456 3.904 3.544 194.03 44.57 224 320 0.875 1.000 bilinear bicubic
43 tf_efficientnet_b3_ap resnest101e 81.822 82.878 18.178 17.122 95.624 96.314 4.376 3.686 12.23 48.28 300 256 0.904 0.875 bicubic bilinear
44 tresnet_m_448 ig_resnext101_32x8d 81.714 82.696 18.286 17.304 95.572 96.644 4.428 3.356 31.39 88.79 448 224 0.875 bilinear
45 vit_base_patch32_384 nasnetalarge 81.652 82.626 18.348 17.374 96.128 96.050 3.872 3.950 88.30 88.75 384 331 1.000 0.911 bicubic
46 tf_efficientnet_b3 tf_efficientnet_b2_ns 81.636 82.392 18.364 17.608 95.718 96.238 4.282 3.762 12.23 9.11 300 260 0.904 0.890 bicubic
47 rexnet_200 resnet101d 81.632 82.310 18.368 17.690 95.668 96.064 4.332 3.936 16.37 44.57 224 256 0.875 0.940 bicubic
48 ssl_resnext101_32x8d tresnet_l_448 81.616 82.260 18.384 17.740 96.038 95.978 3.962 4.022 88.79 55.99 224 448 0.875 bilinear
49 tf_efficientnet_lite4 efficientnet_b3a 81.536 82.254 18.464 17.746 95.668 96.114 4.332 3.886 13.01 12.23 380 320 0.920 1.000 bilinear bicubic
50 vit_large_patch32_384 resnetv2_101x1_bitm 81.506 82.214 18.494 17.786 96.092 96.472 3.908 3.528 306.63 44.54 384 480 1.000 bicubic bilinear
51 tresnet_l ecaresnet101d 81.490 82.176 18.510 17.824 95.624 96.056 4.376 3.944 55.99 44.57 224 0.875 bilinear bicubic
52 wide_resnet50_2 swsl_resnext50_32x4d 81.456 82.172 18.544 17.828 95.532 96.232 4.468 3.768 68.88 25.03 224 0.875 bicubic bilinear
53 tf_efficientnet_b1_ns efficientnet_b3 81.388 82.082 18.612 17.918 95.738 96.026 4.262 3.974 7.79 12.23 240 300 0.882 0.904 bicubic
54 legacy_senet154 tresnet_xl 81.310 82.054 18.690 17.946 95.496 95.932 4.504 4.068 115.09 78.44 224 0.875 bilinear
55 seresnext50_32x4d regnety_032 81.266 82.008 18.734 17.992 95.620 95.912 4.380 4.088 27.56 19.44 224 0.875 bicubic
56 gluon_senet154 ssl_resnext101_32x16d 81.234 81.838 18.766 18.162 95.348 96.092 4.652 3.908 115.09 194.03 224 0.875 bicubic bilinear
57 swsl_resnet50 tf_efficientnet_b3_ap 81.166 81.822 18.834 18.178 95.972 95.620 4.028 4.380 25.56 12.23 224 300 0.875 0.904 bilinear bicubic
58 resnest50d_4s2x40d vit_base_patch16_224 81.108 81.784 18.892 18.216 95.558 96.126 4.442 3.874 30.42 86.57 224 0.875 0.900 bicubic
59 gluon_resnet152_v1s tresnet_m_448 81.016 81.718 18.984 18.282 95.412 95.566 4.588 4.434 60.32 31.39 224 448 0.875 bicubic bilinear
60 resnest50d_1s4x24d vit_base_patch32_384 80.988 81.656 19.012 18.344 95.322 96.130 4.678 3.870 25.68 88.30 224 384 0.875 1.000 bicubic
61 resnest50d tf_efficientnet_b3 80.974 81.646 19.026 18.354 95.378 95.722 4.622 4.278 27.48 12.23 224 300 0.875 0.904 bilinear bicubic
62 ssl_resnext101_32x4d rexnet_200 80.924 81.626 19.076 18.374 95.728 95.672 4.272 4.328 44.18 16.37 224 0.875 bilinear bicubic
63 gluon_seresnext101_32x4d ssl_resnext101_32x8d 80.904 81.606 19.096 18.394 95.294 96.044 4.706 3.956 48.96 88.79 224 0.875 bicubic bilinear
64 gluon_seresnext101_64x4d tf_efficientnet_lite4 80.894 81.536 19.106 18.464 95.308 95.660 4.692 4.340 88.23 13.01 224 380 0.875 0.920 bicubic bilinear
65 efficientnet_b3_pruned tresnet_l 80.858 81.486 19.142 18.514 95.242 95.620 4.758 4.380 9.86 55.99 300 224 0.904 0.875 bicubic bilinear
66 ecaresnet101d_pruned wide_resnet50_2 80.818 81.452 19.182 18.548 95.628 95.522 4.372 4.478 24.88 68.88 224 0.875 bicubic
67 regnety_320 tf_efficientnet_b1_ns 80.812 81.386 19.188 18.614 95.244 95.740 4.756 4.260 145.05 7.79 224 240 0.875 0.882 bicubic
68 tresnet_m legacy_senet154 80.802 81.326 19.198 18.674 94.860 95.508 5.140 4.492 31.39 115.09 224 0.875 bilinear
69 efficientnet_b2a seresnext50_32x4d 80.612 81.274 19.388 18.726 95.318 95.618 4.682 4.382 9.11 27.56 288 224 1.000 0.875 bicubic
70 gluon_resnext101_64x4d gluon_senet154 80.604 81.228 19.396 18.772 94.988 95.352 5.012 4.648 83.46 115.09 224 0.875 bicubic
71 ecaresnet50d swsl_resnet50 80.592 81.136 19.408 18.864 95.320 95.974 4.680 4.026 25.58 25.56 224 0.875 bicubic bilinear
72 resnet50d resnest50d_4s2x40d 80.530 81.114 19.470 18.886 95.160 95.554 4.840 4.446 25.58 30.42 224 0.875 bicubic
73 mixnet_xl gluon_resnet152_v1s 80.476 81.018 19.524 18.982 94.936 95.420 5.064 4.580 11.90 60.32 224 0.875 bicubic
74 gluon_resnet152_v1d resnest50d_1s4x24d 80.474 81.004 19.526 18.996 95.206 95.326 4.794 4.674 60.21 25.68 224 0.875 bicubic
75 ecaresnetlight resnest50d 80.462 80.958 19.538 19.042 95.248 95.378 4.752 4.622 30.16 27.48 224 0.875 bicubic bilinear
76 inception_resnet_v2 ssl_resnext101_32x4d 80.458 80.914 19.542 19.086 95.306 95.734 4.694 4.266 55.84 44.18 299 224 0.897 0.875 bicubic bilinear
77 tf_efficientnet_el gluon_seresnext101_64x4d 80.440 80.884 19.560 19.116 95.164 95.314 4.836 4.686 10.59 88.23 300 224 0.904 0.875 bicubic
78 gluon_resnet101_v1d gluon_seresnext101_32x4d 80.414 80.872 19.586 19.128 95.014 95.292 4.986 4.708 44.57 48.96 224 0.875 bicubic
79 efficientnet_b2 efficientnet_b3_pruned 80.392 80.858 19.608 19.142 95.076 95.240 4.924 4.760 9.11 9.86 260 300 0.875 0.904 bicubic
80 regnety_120 ecaresnet101d_pruned 80.366 80.816 19.634 19.184 95.126 95.638 4.874 4.362 51.82 24.88 224 0.875 bicubic
81 gluon_resnext101_32x4d tresnet_m 80.334 80.804 19.666 19.196 94.926 94.858 5.074 5.142 44.18 31.39 224 0.875 bicubic bilinear
82 ssl_resnext50_32x4d regnety_320 80.318 80.798 19.682 19.202 95.406 95.246 4.594 4.754 25.03 145.05 224 0.875 bilinear bicubic
83 rexnet_150 gluon_resnext101_64x4d 80.310 80.630 19.690 19.370 95.166 94.998 4.834 5.002 9.73 83.46 224 0.875 bicubic
84 gluon_resnet101_v1s ecaresnet50d 80.302 80.614 19.698 19.386 95.160 95.308 4.840 4.692 44.67 25.58 224 0.875 bicubic
85 tf_efficientnet_b2_ap efficientnet_b2a 80.300 80.614 19.700 19.386 95.028 95.318 4.972 4.682 9.11 260 288 0.890 1.000 bicubic
86 regnety_160 resnet50d 80.296 80.548 19.704 19.452 94.962 95.158 5.038 4.842 83.59 25.58 224 0.875 bicubic
87 seresnet50 gluon_resnet152_v1d 80.274 80.478 19.726 19.522 95.070 95.200 4.930 4.800 28.09 60.21 224 0.875 bicubic
88 regnetx_320 mixnet_xl 80.246 80.474 19.754 19.526 95.026 94.934 4.974 5.066 107.81 11.90 224 0.875 bicubic
89 legacy_seresnext101_32x4d ecaresnetlight 80.228 80.458 19.772 19.542 95.018 95.250 4.982 4.750 48.96 30.16 224 0.875 bilinear bicubic
90 inception_v4 tf_efficientnet_el 80.168 80.448 19.832 19.552 94.968 95.170 5.032 4.830 42.68 10.59 299 300 0.875 0.904 bicubic
91 gluon_resnet101_v1d 80.402 19.598 95.020 4.980 44.57 224 0.875 bicubic
92 efficientnet_b2 80.378 19.622 95.078 4.922 9.11 260 0.875 bicubic
93 regnety_120 80.378 19.622 95.122 4.878 51.82 224 0.875 bicubic
94 gluon_resnext101_32x4d 80.334 19.666 94.908 5.092 44.18 224 0.875 bicubic
95 rexnet_150 80.310 19.690 95.162 4.838 9.73 224 0.875 bicubic
96 ssl_resnext50_32x4d 80.302 19.698 95.412 4.588 25.03 224 0.875 bilinear
97 tf_efficientnet_b2_ap 80.302 19.698 95.032 4.968 9.11 260 0.890 bicubic
98 gluon_resnet101_v1s 80.286 19.714 95.160 4.840 44.67 224 0.875 bicubic
99 regnety_160 80.276 19.724 94.968 5.032 83.59 224 0.875 bicubic
100 seresnet50 80.258 19.742 95.066 4.934 28.09 224 0.875 bicubic
101 regnetx_320 80.254 19.746 95.030 4.970 107.81 224 0.875 bicubic
102 legacy_seresnext101_32x4d 80.228 19.772 95.020 4.980 48.96 224 0.875 bilinear
103 resnetv2_50x1_bitm 80.192 19.808 95.630 4.370 25.55 480 1.000 bilinear
104 dpn107 80.156 19.844 94.910 5.090 86.92 224 0.875 bicubic
105 skresnext50_32x4d 80.156 80.146 19.844 19.854 94.642 94.640 5.358 5.360 27.48 224 0.875 bicubic
106 tf_efficientnet_b2 80.086 80.072 19.914 19.928 94.908 94.904 5.092 5.096 9.11 260 0.890 bicubic
107 cspdarknet53 80.058 80.048 19.942 19.952 95.084 95.092 4.916 4.908 27.64 256 0.887 bilinear
108 cspresnext50 80.040 80.046 19.960 19.954 94.944 5.056 20.57 224 0.875 bilinear
109 dpn92 80.008 79.990 19.992 20.010 94.836 94.844 5.164 5.156 37.67 224 0.875 bicubic
110 ens_adv_inception_resnet_v2 gluon_seresnext50_32x4d 79.982 79.924 20.018 20.076 94.936 94.822 5.064 5.178 55.84 27.56 299 224 0.897 0.875 bicubic
111 gluon_seresnext50_32x4d gluon_resnet152_v1c 79.918 79.914 20.082 20.086 94.822 94.848 5.178 5.152 27.56 60.21 224 0.875 bicubic
112 efficientnet_b2_pruned 79.916 79.906 20.084 20.094 94.856 5.144 8.31 260 0.890 bicubic
113 gluon_resnet152_v1c xception71 79.910 79.884 20.090 20.116 94.840 94.932 5.160 5.068 60.21 42.34 224 299 0.875 0.903 bicubic
114 regnety_080 79.876 79.870 20.124 20.130 94.830 5.170 39.18 224 0.875 bicubic
115 xception71 regnetx_160 79.874 79.838 20.126 20.162 94.922 94.824 5.078 5.176 42.34 54.28 299 224 0.903 0.875 bicubic
116 regnetx_160 dpn131 79.856 79.826 20.144 20.174 94.830 94.712 5.170 5.288 54.28 79.25 224 0.875 bicubic
117 dpn131 tf_efficientnet_lite3 79.822 79.826 20.178 20.174 94.710 94.908 5.290 5.092 79.25 8.20 224 300 0.875 0.904 bicubic bilinear
118 tf_efficientnet_lite3 resnext50_32x4d 79.820 79.790 20.180 20.210 94.914 94.606 5.086 5.394 8.20 25.03 300 224 0.904 0.875 bilinear bicubic
119 resnext50_32x4d regnety_064 79.768 79.732 20.232 20.268 94.598 94.764 5.402 5.236 25.03 30.58 224 0.875 bicubic
120 regnety_064 ecaresnet50d_pruned 79.722 79.712 20.278 20.288 94.768 94.876 5.232 5.124 30.58 19.94 224 0.875 bicubic
121 ecaresnet50d_pruned gluon_xception65 79.716 79.702 20.284 20.298 94.880 94.868 5.120 5.132 19.94 39.92 224 299 0.875 0.903 bicubic
122 gluon_xception65 gluon_resnet152_v1b 79.716 79.692 20.284 20.308 94.860 94.734 5.140 5.266 39.92 60.19 299 224 0.903 0.875 bicubic
123 gluon_resnet152_v1b resnext50d_32x4d 79.686 79.668 20.314 20.332 94.736 94.866 5.264 5.134 60.19 25.05 224 0.875 bicubic
124 resnext50d_32x4d dpn98 79.676 79.650 20.324 20.350 94.866 94.606 5.134 5.394 25.05 61.57 224 0.875 bicubic
125 dpn98 regnetx_120 79.642 79.610 20.358 20.390 94.598 94.732 5.402 5.268 61.57 46.11 224 0.875 bicubic
126 regnetx_120 cspresnet50 79.596 79.574 20.404 20.426 94.738 94.708 5.262 5.292 46.11 21.62 224 256 0.875 0.887 bicubic bilinear
127 cspresnet50 xception65 79.574 79.550 20.426 20.450 94.712 94.658 5.288 5.342 21.62 39.92 256 299 0.887 0.903 bilinear bicubic
128 xception65 gluon_resnet101_v1c 79.552 79.532 20.448 20.468 94.654 94.588 5.346 5.412 39.92 44.57 299 224 0.903 0.875 bicubic
129 gluon_resnet101_v1c rexnet_130 79.534 79.494 20.466 20.506 94.578 94.674 5.422 5.326 44.57 7.56 224 0.875 bicubic
130 rexnet_130 hrnet_w64 79.500 79.462 20.500 20.538 94.682 94.654 5.318 5.346 7.56 128.06 224 0.875 bicubic bilinear
131 hrnet_w64 dla102x2 79.474 79.442 20.526 20.558 94.652 94.646 5.348 5.354 128.06 41.28 224 0.875 bilinear
132 dla102x2 gluon_resnext50_32x4d 79.448 79.354 20.552 20.646 94.640 94.424 5.360 5.576 41.28 25.03 224 0.875 bilinear bicubic
133 gluon_resnext50_32x4d tf_efficientnet_cc_b1_8e 79.354 79.326 20.646 20.674 94.426 94.372 5.574 5.628 25.03 39.72 224 240 0.875 0.882 bicubic
134 vit_base_patch16_224 hrnet_w48 79.348 79.316 20.652 20.684 94.512 94.514 5.488 5.486 86.54 77.47 224 0.900 0.875 bicubic bilinear
135 ese_vovnet39b 79.320 79.312 20.680 20.688 94.712 94.722 5.288 5.278 24.57 224 0.875 bicubic
136 resnext101_32x8d gluon_resnet101_v1b 79.308 79.304 20.692 20.696 94.518 94.530 5.482 5.470 88.79 44.55 224 0.875 bilinear bicubic
137 tf_efficientnet_cc_b1_8e resnext101_32x8d 79.308 79.304 20.692 20.696 94.370 94.526 5.630 5.474 39.72 88.79 240 224 0.882 0.875 bicubic bilinear
138 gluon_resnet101_v1b resnetblur50 79.306 79.286 20.694 20.714 94.524 94.640 5.476 5.360 44.55 25.56 224 0.875 bicubic
139 hrnet_w48 tf_efficientnet_b1_ap 79.300 79.276 20.700 20.724 94.512 94.302 5.488 5.698 77.47 7.79 224 240 0.875 0.882 bilinear bicubic
140 resnetblur50 efficientnet_em 79.286 79.264 20.714 20.736 94.638 94.790 5.362 5.210 25.56 6.90 224 240 0.875 0.882 bicubic
141 tf_efficientnet_b1_ap ssl_resnet50 79.280 79.236 20.720 20.764 94.306 94.830 5.694 5.170 7.79 25.56 240 224 0.882 0.875 bicubic bilinear
142 efficientnet_em regnety_040 79.252 79.232 20.748 20.768 94.794 94.644 5.206 5.356 6.90 20.65 240 224 0.882 0.875 bicubic
143 ssl_resnet50 dpn68b 79.222 79.212 20.778 20.788 94.832 94.422 5.168 5.578 25.56 12.61 224 0.875 bilinear bicubic
144 regnety_040 regnetx_080 79.220 79.212 20.780 20.788 94.656 94.554 5.344 5.446 20.65 39.57 224 0.875 bicubic
145 dpn68b res2net101_26w_4s 79.216 79.194 20.784 20.806 94.414 94.434 5.586 5.566 12.61 45.21 224 0.875 bicubic bilinear
146 res2net101_26w_4s res2net50_26w_8s 79.198 79.192 20.802 20.808 94.432 94.368 5.568 5.632 45.21 48.40 224 0.875 bilinear
147 res2net50_26w_8s legacy_seresnext50_32x4d 79.198 79.084 20.802 20.916 94.368 94.434 5.632 5.566 48.40 27.56 224 0.875 bilinear
148 regnetx_080 regnetx_064 79.194 79.064 20.806 20.936 94.560 94.470 5.440 5.530 39.57 26.21 224 0.875 bicubic
149 legacy_seresnext50_32x4d gluon_resnet50_v1d 79.078 79.064 20.922 20.936 94.436 94.460 5.564 5.540 27.56 25.58 224 0.875 bilinear bicubic
150 gluon_resnet50_v1d xception 79.074 79.046 20.926 20.954 94.470 94.396 5.530 5.604 25.58 22.86 224 299 0.875 0.897 bicubic
151 regnetx_064 resnet50 79.072 79.036 20.928 20.964 94.458 94.392 5.542 5.608 26.21 25.56 224 0.875 bicubic
152 xception mixnet_l 79.052 78.980 20.948 21.020 94.392 94.182 5.608 5.818 22.86 7.33 299 224 0.897 0.875 bicubic
153 resnet50 hrnet_w40 79.038 78.932 20.962 21.068 94.390 94.478 5.610 5.522 25.56 57.56 224 0.875 bicubic bilinear
154 mixnet_l hrnet_w44 78.976 78.890 21.024 21.110 94.182 94.374 5.818 5.626 7.33 67.06 224 0.875 bicubic bilinear
155 hrnet_w40 wide_resnet101_2 78.920 78.854 21.080 21.146 94.470 94.282 5.530 5.718 57.56 126.89 224 0.875 bilinear
156 hrnet_w44 tf_efficientnet_b1 78.896 78.844 21.104 21.156 94.368 94.196 5.632 5.804 67.06 7.79 224 240 0.875 0.882 bilinear bicubic
157 wide_resnet101_2 gluon_inception_v3 78.856 78.800 21.144 21.200 94.282 94.380 5.718 5.620 126.89 23.83 224 299 0.875 bilinear bicubic
158 tf_efficientnet_b1 tf_mixnet_l 78.826 78.776 21.174 21.224 94.198 94.002 5.802 5.998 7.79 7.33 240 224 0.882 0.875 bicubic
159 gluon_inception_v3 tf_efficientnet_em 78.806 78.712 21.194 21.288 94.370 94.328 5.630 5.672 23.83 6.90 299 240 0.875 0.882 bicubic
160 tf_mixnet_l efficientnet_b1 78.774 78.706 21.226 21.294 93.998 94.154 6.002 5.846 7.33 7.79 224 240 0.875 bicubic
161 gluon_resnet50_v1s 78.710 78.700 21.290 21.300 94.238 94.246 5.762 5.754 25.68 224 0.875 bicubic
162 tf_efficientnet_em dla169 78.708 78.694 21.292 21.306 94.314 94.330 5.686 5.670 6.90 53.39 240 224 0.882 0.875 bicubic bilinear
163 efficientnet_b1 legacy_seresnet152 78.698 78.666 21.302 21.334 94.144 94.376 5.856 5.624 7.79 66.82 240 224 0.875 bicubic bilinear
164 dla169 tf_efficientnet_b0_ns 78.688 78.660 21.312 21.340 94.336 94.372 5.664 5.628 53.39 5.29 224 0.875 bilinear bicubic
165 legacy_seresnet152 res2net50_26w_6s 78.660 78.566 21.340 21.434 94.370 94.120 5.630 5.880 66.82 37.05 224 0.875 bilinear
166 tf_efficientnet_b0_ns xception41 78.658 78.536 21.342 21.464 94.376 94.284 5.624 5.716 5.29 26.97 224 299 0.875 0.903 bicubic
167 res2net50_26w_6s dla102x 78.570 78.510 21.430 21.490 94.124 94.230 5.876 5.770 37.05 26.31 224 0.875 bilinear
168 xception41 regnetx_040 78.516 78.484 21.484 21.516 94.278 94.252 5.722 5.748 26.97 22.12 299 224 0.903 0.875 bicubic
169 dla102x resnest26d 78.510 78.480 21.490 21.520 94.228 94.300 5.772 5.700 26.31 17.07 224 0.875 bilinear
170 regnetx_040 dla60_res2net 78.482 78.460 21.518 21.540 94.244 94.206 5.756 5.794 22.12 20.85 224 0.875 bicubic bilinear
171 resnest26d hrnet_w32 78.478 78.446 21.522 21.554 94.298 94.190 5.702 5.810 17.07 41.23 224 0.875 bilinear
172 dla60_res2net dla60_res2next 78.464 78.444 21.536 21.556 94.206 94.158 5.794 5.842 20.85 17.03 224 0.875 bilinear
173 hrnet_w32 selecsls60b 78.450 78.410 21.550 21.590 94.186 94.178 5.814 5.822 41.23 32.77 224 0.875 bilinear bicubic
174 dla60_res2next legacy_seresnet101 78.440 78.380 21.560 21.620 94.152 94.262 5.848 5.738 17.03 49.33 224 0.875 bilinear
175 selecsls60b tv_resnet152 78.412 78.320 21.588 21.680 94.174 94.052 5.826 5.948 32.77 60.19 224 0.875 bicubic bilinear
176 legacy_seresnet101 dla60x 78.382 78.250 21.618 21.750 94.264 94.024 5.736 5.976 49.33 17.35 224 0.875 bilinear
177 tv_resnet152 efficientnet_b1_pruned 78.312 78.248 21.688 21.752 94.038 93.836 5.962 6.164 60.19 6.33 224 240 0.875 0.882 bilinear bicubic
178 dla60x res2next50 78.246 78.236 21.754 21.764 94.018 93.906 5.982 6.094 17.35 24.67 224 0.875 bilinear
179 res2next50 hrnet_w30 78.246 78.206 21.754 21.794 93.892 94.224 6.108 5.776 24.67 37.71 224 0.875 bilinear
180 efficientnet_b1_pruned regnetx_032 78.236 78.148 21.764 21.852 93.834 94.088 6.166 5.912 6.33 15.30 240 224 0.882 0.875 bicubic
181 hrnet_w30 res2net50_14w_8s 78.206 78.138 21.794 21.862 94.222 93.856 5.778 6.144 37.71 25.06 224 0.875 bilinear
182 regnetx_032 efficientnet_es 78.172 78.088 21.828 21.912 94.088 93.932 5.912 6.068 15.30 5.44 224 0.875 bicubic
183 res2net50_14w_8s dla102 78.150 78.030 21.850 21.970 93.848 93.952 6.152 6.048 25.06 33.27 224 0.875 bilinear
184 efficientnet_es gluon_resnet50_v1c 78.066 78.008 21.934 21.992 93.926 93.988 6.074 6.012 5.44 25.58 224 0.875 bicubic
185 dla102 res2net50_26w_4s 78.032 77.992 21.968 22.008 93.946 93.852 6.054 6.148 33.27 25.70 224 0.875 bilinear
186 gluon_resnet50_v1c selecsls60 78.012 77.990 21.988 22.010 93.988 93.828 6.012 6.172 25.58 30.67 224 0.875 bicubic
187 seresnext26t_32x4d 77.998 77.988 22.002 22.012 93.708 93.732 6.292 6.268 16.82 224 0.875 bicubic
188 seresnext26tn_32x4d 77.986 22.014 93.746 93.744 6.254 6.256 16.81 224 0.875 bicubic
189 selecsls60 tf_efficientnet_cc_b0_8e 77.982 77.908 22.018 22.092 93.828 93.652 6.172 6.348 30.67 24.01 224 0.875 bicubic
190 res2net50_26w_4s regnety_016 77.964 77.868 22.036 22.132 93.854 93.726 6.146 6.274 25.70 11.20 224 0.875 bilinear bicubic
191 tf_efficientnet_cc_b0_8e tf_inception_v3 77.908 77.866 22.092 22.134 93.654 93.646 6.346 6.354 24.01 23.83 224 299 0.875 bicubic
192 regnety_016 rexnet_100 77.862 22.138 93.720 93.878 6.280 6.122 11.20 4.80 224 0.875 bicubic
193 tf_inception_v3 vit_small_patch16_224 77.862 77.854 22.138 22.146 93.640 93.424 6.360 6.576 23.83 48.75 299 224 0.875 0.900 bicubic
194 rexnet_100 efficientnet_b0 77.858 77.706 22.142 22.294 93.870 93.522 6.130 6.478 4.80 5.29 224 0.875 bicubic
195 vit_small_patch16_224 legacy_seresnet50 77.858 77.636 22.142 22.364 93.416 93.744 6.584 6.256 48.75 28.09 224 0.900 0.875 bicubic bilinear
196 efficientnet_b0 tv_resnext50_32x4d 77.698 77.614 22.302 22.386 93.532 93.684 6.468 6.316 5.29 25.03 224 0.875 bicubic bilinear
197 legacy_seresnet50 seresnext26d_32x4d 77.630 77.586 22.370 22.414 93.748 93.608 6.252 6.392 28.09 16.81 224 0.875 bilinear bicubic
198 tv_resnext50_32x4d adv_inception_v3 77.620 77.582 22.380 22.418 93.696 93.740 6.304 6.260 25.03 23.83 224 299 0.875 bilinear bicubic
199 seresnext26d_32x4d gluon_resnet50_v1b 77.602 77.578 22.398 22.422 93.608 93.718 6.392 6.282 16.81 25.56 224 0.875 bicubic
200 adv_inception_v3 res2net50_48w_2s 77.582 77.534 22.418 22.466 93.736 93.560 6.264 6.440 23.83 25.29 299 224 0.875 bicubic bilinear
201 gluon_resnet50_v1b tf_efficientnet_lite2 77.580 77.482 22.420 22.518 93.716 93.748 6.284 6.252 25.56 6.09 224 260 0.875 0.890 bicubic
202 res2net50_48w_2s inception_v3 77.522 77.464 22.478 22.536 93.554 93.476 6.446 6.524 25.29 23.83 224 299 0.875 bilinear bicubic
203 tf_efficientnet_lite2 tv_resnet101 77.468 77.366 22.532 22.634 93.754 93.556 6.246 6.444 6.09 44.55 260 224 0.890 0.875 bicubic bilinear
204 inception_v3 densenet161 77.438 77.360 22.562 22.640 93.476 93.634 6.524 6.366 23.83 28.68 299 224 0.875 bicubic
205 tv_resnet101 tf_efficientnet_cc_b0_4e 77.374 77.320 22.626 22.680 93.540 93.322 6.460 6.678 44.55 13.31 224 0.875 bilinear bicubic
206 densenet161 densenet201 77.358 77.290 22.642 22.710 93.638 93.480 6.362 6.520 28.68 20.01 224 0.875 bicubic
207 tf_efficientnet_cc_b0_4e tf_efficientnet_es 77.306 77.284 22.694 22.716 93.334 93.604 6.666 6.396 13.31 5.44 224 0.875 bicubic
208 densenet201 mobilenetv2_120d 77.286 77.278 22.714 22.722 93.478 93.510 6.522 6.490 20.01 5.83 224 0.875 bicubic
209 mobilenetv2_120d mixnet_m 77.284 77.274 22.716 22.726 93.492 93.422 6.508 6.578 5.83 5.01 224 0.875 bicubic
210 mixnet_m selecsls42b 77.260 77.184 22.740 22.816 93.424 93.388 6.576 6.612 5.01 32.46 224 0.875 bicubic
211 tf_efficientnet_es resnet34d 77.258 77.114 22.742 22.886 93.594 93.382 6.406 6.618 5.44 21.82 224 0.875 bicubic
212 selecsls42b legacy_seresnext26_32x4d 77.174 77.106 22.826 22.894 93.390 93.308 6.610 6.692 32.46 16.79 224 0.875 bicubic
213 resnet34d tf_efficientnet_b0_ap 77.116 77.102 22.884 22.898 93.382 93.264 6.618 6.736 21.82 5.29 224 0.875 bicubic
214 legacy_seresnext26_32x4d dla60 77.104 77.036 22.896 22.964 93.316 93.324 6.684 6.676 16.79 22.04 224 0.875 bicubic bilinear
215 tf_efficientnet_b0_ap tf_mixnet_m 77.086 76.956 22.914 23.044 93.256 93.164 6.744 6.836 5.29 5.01 224 0.875 bicubic
216 dla60 regnetx_016 77.032 76.946 22.968 23.054 93.318 93.426 6.682 6.574 22.04 9.19 224 0.875 bilinear bicubic
217 regnetx_016 skresnet34 76.950 76.930 23.050 23.070 93.420 93.322 6.580 6.678 9.19 22.28 224 0.875 bicubic
218 tf_mixnet_m tf_efficientnet_b0 76.942 76.848 23.058 23.152 93.152 93.232 6.848 6.768 5.01 5.29 224 0.875 bicubic
219 skresnet34 ese_vovnet19b_dw 76.912 76.818 23.088 23.182 93.322 93.278 6.678 6.722 22.28 6.54 224 0.875 bicubic
220 tf_efficientnet_b0 hrnet_w18 76.848 76.764 23.152 23.236 93.228 93.442 6.772 6.558 5.29 21.30 224 0.875 bicubic bilinear
221 ese_vovnet19b_dw resnet26d 76.798 76.688 23.202 23.312 93.268 93.146 6.732 6.854 6.54 16.01 224 0.875 bicubic
222 hrnet_w18 tf_efficientnet_lite1 76.758 76.666 23.242 23.334 93.444 93.238 6.556 6.762 21.30 5.42 224 240 0.875 0.882 bilinear bicubic
223 resnet26d densenetblur121d 76.696 76.586 23.304 23.414 93.150 93.196 6.850 6.804 16.01 8.00 224 0.875 bicubic
224 tf_efficientnet_lite1 mobilenetv2_140 76.642 76.512 23.358 23.488 93.226 92.998 6.774 7.002 5.42 6.11 240 224 0.882 0.875 bicubic
225 densenetblur121d regnety_008 76.588 76.320 23.412 23.680 93.192 93.068 6.808 6.932 8.00 6.26 224 0.875 bicubic
226 mobilenetv2_140 dpn68 76.516 76.312 23.484 23.688 92.996 92.968 7.004 7.032 6.11 12.61 224 0.875 bicubic
227 dpn68 tv_resnet50 76.318 76.158 23.682 23.842 92.978 92.878 7.022 7.122 12.61 25.56 224 0.875 bicubic bilinear
228 regnety_008 mixnet_s 76.316 75.994 23.684 24.006 93.066 92.790 6.934 7.210 6.26 4.13 224 0.875 bicubic
229 tv_resnet50 densenet169 76.138 75.898 23.862 24.102 92.864 93.022 7.136 6.978 25.56 14.15 224 0.875 bilinear bicubic
230 mixnet_s mobilenetv3_large_100 75.992 75.774 24.008 24.226 92.796 92.538 7.204 7.462 4.13 5.48 224 0.875 bicubic
231 densenet169 tf_mixnet_s 75.906 75.682 24.094 24.318 93.026 92.638 6.974 7.362 14.15 4.13 224 0.875 bicubic
232 mobilenetv3_large_100 mobilenetv3_rw 75.766 75.620 24.234 24.380 92.542 92.712 7.458 7.288 5.48 224 0.875 bicubic
233 tf_mixnet_s densenet121 75.650 75.564 24.350 24.436 92.630 92.648 7.370 7.352 4.13 7.98 224 0.875 bicubic
234 mobilenetv3_rw resnest14d 75.634 75.514 24.366 24.486 92.708 92.518 7.292 7.482 5.48 10.61 224 0.875 bicubic bilinear
235 densenet121 tf_mobilenetv3_large_100 75.578 75.510 24.422 24.490 92.652 92.610 7.348 7.390 7.98 5.48 224 0.875 bicubic bilinear
236 tf_mobilenetv3_large_100 efficientnet_lite0 75.518 75.502 24.482 24.498 92.606 92.514 7.394 7.486 5.48 4.65 224 0.875 bilinear bicubic
237 resnest14d semnasnet_100 75.504 75.452 24.496 24.548 92.518 92.610 7.482 7.390 10.61 3.89 224 0.875 bilinear bicubic
238 efficientnet_lite0 resnet26 75.484 75.290 24.516 24.710 92.510 92.566 7.490 7.434 4.65 16.00 224 0.875 bicubic
239 semnasnet_100 regnety_006 75.448 75.268 24.552 24.732 92.604 92.530 7.396 7.470 3.89 6.06 224 0.875 bicubic
240 resnet26 fbnetc_100 75.292 75.116 24.708 24.884 92.570 92.374 7.430 7.626 16.00 5.57 224 0.875 bicubic bilinear
241 regnety_006 hrnet_w18_small_v2 75.246 75.108 24.754 24.892 92.532 92.412 7.468 7.588 6.06 15.60 224 0.875 bicubic bilinear
242 fbnetc_100 resnet34 75.124 75.106 24.876 24.894 92.386 92.276 7.614 7.724 5.57 21.80 224 0.875 bilinear
243 hrnet_w18_small_v2 regnetx_008 75.114 75.052 24.886 24.948 92.416 92.342 7.584 7.658 15.60 7.26 224 0.875 bilinear bicubic
244 resnet34 mobilenetv2_110d 75.110 75.048 24.890 24.952 92.284 92.190 7.716 7.810 21.80 4.52 224 0.875 bilinear bicubic
245 regnetx_008 tf_efficientnet_lite0 75.038 74.832 24.962 25.168 92.336 92.174 7.664 7.826 7.26 4.65 224 0.875 bicubic
246 mobilenetv2_110d legacy_seresnet34 75.036 74.790 24.964 25.210 92.186 92.126 7.814 7.874 4.52 21.96 224 0.875 bicubic bilinear
247 tf_efficientnet_lite0 tv_densenet121 74.830 74.742 25.170 25.258 92.176 92.154 7.824 7.846 4.65 7.98 224 0.875 bicubic
248 legacy_seresnet34 mnasnet_100 74.808 74.670 25.192 25.330 92.124 92.102 7.876 7.898 21.96 4.38 224 0.875 bilinear bicubic
249 tv_densenet121 dla34 74.738 74.624 25.262 25.376 92.150 92.062 7.850 7.938 7.98 15.74 224 0.875 bicubic bilinear
250 mnasnet_100 gluon_resnet34_v1b 74.658 74.588 25.342 25.412 92.114 91.996 7.886 8.004 4.38 21.80 224 0.875 bicubic
251 dla34 spnasnet_100 74.630 74.080 25.370 25.920 92.078 91.820 7.922 8.180 15.74 4.42 224 0.875 bilinear
252 gluon_resnet34_v1b regnety_004 74.588 74.018 25.412 25.982 91.990 91.764 8.010 8.236 21.80 4.34 224 0.875 bicubic
253 spnasnet_100 regnetx_006 74.084 73.844 25.916 26.156 91.818 91.678 8.182 8.322 4.42 6.20 224 0.875 bilinear bicubic
254 regnety_004 tf_mobilenetv3_large_075 74.034 73.448 25.966 26.552 91.752 91.342 8.248 8.658 4.34 3.99 224 0.875 bicubic bilinear
255 regnetx_006 tv_resnet34 73.852 73.304 26.148 26.696 91.672 91.424 8.328 8.576 6.20 21.80 224 0.875 bicubic bilinear
256 tf_mobilenetv3_large_075 swsl_resnet18 73.438 73.280 26.562 26.720 91.350 91.758 8.650 8.242 3.99 11.69 224 0.875 bilinear
257 tv_resnet34 skresnet18 73.312 73.026 26.688 26.974 91.426 91.172 8.574 8.828 21.80 11.96 224 0.875 bilinear bicubic
258 swsl_resnet18 mobilenetv2_100 73.276 72.950 26.724 27.050 91.734 91.002 8.266 8.998 11.69 3.50 224 0.875 bilinear bicubic
259 skresnet18 ssl_resnet18 73.038 72.616 26.962 27.384 91.168 91.416 8.832 8.584 11.96 11.69 224 0.875 bicubic bilinear
260 mobilenetv2_100 regnetx_004 72.970 72.394 27.030 27.606 91.016 90.818 8.984 9.182 3.50 5.16 224 0.875 bicubic
261 ssl_resnet18 hrnet_w18_small 72.610 72.336 27.390 27.664 91.416 90.684 8.584 9.316 11.69 13.19 224 0.875 bilinear
262 regnetx_004 resnet18d 72.396 72.274 27.604 27.726 90.830 90.688 9.170 9.312 5.16 11.71 224 0.875 bicubic
263 hrnet_w18_small tf_mobilenetv3_large_minimal_100 72.342 72.244 27.658 27.756 90.678 90.636 9.322 9.364 13.19 3.92 224 0.875 bilinear
264 resnet18d legacy_seresnet18 72.260 71.736 27.740 28.264 90.696 90.342 9.304 9.658 11.71 11.78 224 0.875 bicubic
265 tf_mobilenetv3_large_minimal_100 gluon_resnet18_v1b 72.248 70.838 27.752 29.162 90.630 89.758 9.370 10.242 3.92 11.69 224 0.875 bilinear bicubic
266 legacy_seresnet18 regnety_002 71.742 70.278 28.258 29.722 90.334 89.546 9.666 10.454 11.78 3.16 224 0.875 bicubic
267 gluon_resnet18_v1b resnet18 70.836 69.742 29.164 30.258 89.762 89.086 10.238 10.914 11.69 224 0.875 bicubic bilinear
268 regnety_002 regnetx_002 70.252 68.754 29.748 31.246 89.540 88.560 10.460 11.440 3.16 2.68 224 0.875 bicubic
269 resnet18 tf_mobilenetv3_small_100 69.748 67.922 30.252 32.078 89.078 87.676 10.922 12.324 11.69 2.54 224 0.875 bilinear
270 regnetx_002 dla60x_c 68.762 67.912 31.238 32.088 88.556 88.418 11.444 11.582 2.68 1.32 224 0.875 bicubic bilinear
271 tf_mobilenetv3_small_100 dla46x_c 67.922 65.976 32.078 34.024 87.664 86.988 12.336 13.012 2.54 1.07 224 0.875 bilinear
272 dla60x_c tf_mobilenetv3_small_075 67.892 65.724 32.108 34.276 88.426 86.134 11.574 13.866 1.32 2.04 224 0.875 bilinear
273 dla46x_c dla46_c 65.970 64.870 34.030 35.130 86.980 86.294 13.020 13.706 1.07 1.30 224 0.875 bilinear
274 tf_mobilenetv3_small_075 tf_mobilenetv3_small_minimal_100 65.716 62.910 34.284 37.090 86.130 84.244 13.870 15.756 2.04 224 0.875 bilinear
275 dla46_c inception_v4 64.866 1.008 35.134 98.992 86.292 16.854 13.708 83.146 1.30 42.68 224 299 0.875 bilinear bicubic
276 tf_mobilenetv3_small_minimal_100 ens_adv_inception_resnet_v2 62.906 0.998 37.094 99.002 84.230 17.324 15.770 82.676 2.04 55.85 224 299 0.875 0.897 bilinear bicubic
277 pnasnet5large 0.984 99.016 18.576 81.424 86.06 331 0.911 bicubic
278 inception_resnet_v2 0.950 99.050 17.294 82.706 55.85 299 0.897 bicubic

539
results/results-imagenetv2-matched-frequency.csv
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model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation,top1_diff,top5_diff,rank_diff
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,-3.714,0
tf_efficientnet_b6_ns,77.280,22.720,93.890,6.110,43.04,528,0.942,bicubic,-9.172,-3.992,0
ig_resnext101_32x48d,76.870,23.130,93.310,6.690,828.41,224,0.875,bilinear,-8.558,-4.262,+1
ig_resnext101_32x32d,76.840,23.160,93.200,6.800,468.53,224,0.875,bilinear,-8.254,-4.238,+6
tf_efficientnet_b5_ns,76.810,23.190,93.580,6.420,30.39,456,0.934,bicubic,-9.278,-4.172,-2
tf_efficientnet_b7_ap,76.090,23.910,92.970,7.030,66.35,600,0.949,bicubic,-9.030,-4.282,+3
tf_efficientnet_b8_ap,76.090,23.910,92.730,7.270,87.41,672,0.954,bicubic,-9.280,-4.564,-1
ig_resnext101_32x16d,75.720,24.280,92.910,7.090,194.03,224,0.875,bilinear,-8.450,-4.286,+9
tf_efficientnet_b4_ns,75.670,24.330,93.050,6.950,19.34,380,0.922,bicubic,-9.492,-4.420,-2
swsl_resnext101_32x8d,75.430,24.570,92.760,7.240,88.79,224,0.875,bilinear,-8.854,-4.416,+4
tf_efficientnet_b6_ap,75.380,24.620,92.440,7.560,43.04,528,0.942,bicubic,-9.408,-4.698,+1
vit_large_patch16_384,75.150,24.850,92.660,7.340,304.72,384,1.000,bicubic,-10.008,-4.696,-4
tf_efficientnet_b8,74.940,25.060,92.310,7.690,87.41,672,0.954,bicubic,-10.430,-5.080,-8
tf_efficientnet_b7,74.720,25.280,92.220,7.780,66.35,600,0.949,bicubic,-10.216,-4.984,-3
tf_efficientnet_b5_ap,74.600,25.400,91.990,8.010,30.39,456,0.934,bicubic,-9.652,-4.984,0
resnest200e,74.480,25.520,91.860,8.140,70.20,320,0.909,bicubic,-9.352,-5.034,+4
resnest269e,74.170,25.830,91.950,8.050,110.93,416,0.928,bicubic,-10.348,-5.036,-4
swsl_resnext101_32x4d,74.140,25.860,91.990,8.010,44.18,224,0.875,bilinear,-9.090,-4.770,+6
vit_base_patch16_384,74.130,25.870,92.360,7.640,86.86,384,1.000,bicubic,-10.080,-4.858,-3
swsl_resnext101_32x16d,74.020,25.980,92.160,7.840,194.03,224,0.875,bilinear,-9.326,-4.686,+2
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,-3
ig_resnext101_32x8d,73.650,26.350,92.190,7.810,88.79,224,0.875,bilinear,-9.038,-4.446,+6
tf_efficientnet_b5,73.550,26.450,91.460,8.540,30.39,456,0.934,bicubic,-10.262,-5.288,-3
tf_efficientnet_b4_ap,72.890,27.110,90.980,9.020,19.34,380,0.922,bicubic,-10.358,-5.412,-2
pnasnet5large,72.610,27.390,90.510,9.490,86.06,331,0.911,bicubic,-10.172,-5.530,+2
resnest101e,72.570,27.430,90.820,9.180,48.28,256,0.875,bilinear,-10.320,-5.500,0
swsl_resnext50_32x4d,72.560,27.440,90.870,9.130,25.03,224,0.875,bilinear,-9.622,-5.360,+6
tresnet_xl_448,72.550,27.450,90.310,9.690,78.44,448,0.875,bilinear,-10.500,-5.864,-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,-5.158,0
nasnetalarge,72.230,27.770,90.470,9.530,88.75,331,0.911,bicubic,-10.390,-5.576,-2
swsl_resnet50,71.700,28.300,90.500,9.500,25.56,224,0.875,bilinear,-9.466,-5.472,+21
tresnet_xl,71.660,28.340,89.630,10.370,78.44,224,0.875,bilinear,-10.394,-6.306,+3
tresnet_l_448,71.600,28.400,90.050,9.950,55.99,448,0.875,bilinear,-10.668,-5.926,-3
ssl_resnext101_32x8d,71.500,28.500,90.460,9.540,88.79,224,0.875,bilinear,-10.116,-5.578,+9
ecaresnet101d,71.490,28.510,90.330,9.670,44.57,224,0.875,bicubic,-10.682,-5.716,-2
efficientnet_b3a,71.480,28.520,90.060,9.940,12.23,320,1.000,bicubic,-10.762,-6.054,-5
efficientnet_b3,71.460,28.540,90.090,9.910,12.23,300,0.904,bicubic,-10.616,-5.930,-3
ssl_resnext101_32x16d,71.410,28.590,90.560,9.440,194.03,224,0.875,bilinear,-10.434,-5.536,-1
vit_base_patch32_384,71.180,28.820,90.630,9.370,88.30,384,1.000,bicubic,-10.472,-5.498,+1
regnety_032,71.080,28.920,90.270,9.730,19.44,224,0.875,bicubic,-10.922,-5.636,-4
tresnet_m_448,70.990,29.010,88.680,11.320,31.39,448,0.875,bilinear,-10.724,-6.892,-2
resnest50d_4s2x40d,70.950,29.050,89.710,10.290,30.42,224,0.875,bicubic,-10.158,-5.848,+11
wide_resnet50_2,70.950,29.050,89.230,10.770,68.88,224,0.875,bicubic,-10.506,-6.302,+4
tf_efficientnet_b3_ap,70.920,29.080,89.430,10.570,12.23,300,0.904,bicubic,-10.902,-6.194,-6
tf_efficientnet_b1_ns,70.870,29.130,90.120,9.880,7.79,240,0.882,bicubic,-10.518,-5.618,+3
vit_large_patch32_384,70.860,29.140,90.570,9.430,306.63,384,1.000,bicubic,-10.646,-5.522,-1
rexnet_200,70.840,29.160,89.700,10.300,16.37,224,0.875,bicubic,-10.792,-5.968,-5
tresnet_l,70.840,29.160,89.630,10.370,55.99,224,0.875,bilinear,-10.650,-5.994,-2
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,+1
ssl_resnext101_32x4d,70.530,29.470,89.760,10.240,44.18,224,0.875,bilinear,-10.394,-5.968,+6
legacy_senet154,70.500,29.500,89.010,10.990,115.09,224,0.875,bilinear,-10.810,-6.486,-3
gluon_seresnext101_64x4d,70.430,29.570,89.350,10.650,88.23,224,0.875,bicubic,-10.464,-5.958,+6
tf_efficientnet_lite4,70.430,29.570,89.110,10.890,13.01,380,0.920,bilinear,-11.106,-6.558,-10
resnest50d,70.410,29.590,88.760,11.240,27.48,224,0.875,bilinear,-10.564,-6.618,+1
resnest50d_1s4x24d,70.400,29.600,89.220,10.780,25.68,224,0.875,bicubic,-10.588,-6.102,-1
seresnext50_32x4d,70.400,29.600,89.110,10.890,27.56,224,0.875,bicubic,-10.866,-6.510,-7
gluon_resnet152_v1s,70.290,29.710,88.850,11.150,60.32,224,0.875,bicubic,-10.726,-6.562,-4
ecaresnet101d_pruned,70.130,29.870,89.590,10.410,24.88,224,0.875,bicubic,-10.688,-6.038,+2
inception_resnet_v2,70.120,29.880,88.700,11.300,55.84,299,0.897,bicubic,-10.338,-6.606,+11
gluon_seresnext101_32x4d,70.010,29.990,88.900,11.100,48.96,224,0.875,bicubic,-10.894,-6.394,-3
regnety_320,70.000,30.000,88.890,11.110,145.05,224,0.875,bicubic,-10.812,-6.354,0
gluon_resnet152_v1d,69.960,30.040,88.490,11.510,60.21,224,0.875,bicubic,-10.514,-6.716,+6
ecaresnet50d,69.840,30.160,89.400,10.600,25.58,224,0.875,bicubic,-10.752,-5.920,+2
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,-1
tresnet_m,69.660,30.340,87.990,12.010,31.39,224,0.875,bilinear,-11.142,-6.870,-4
efficientnet_b3_pruned,69.580,30.420,88.980,11.020,9.86,300,0.904,bicubic,-11.278,-6.262,-8
ens_adv_inception_resnet_v2,69.520,30.480,88.510,11.490,55.84,299,0.897,bicubic,-10.462,-6.426,+23
efficientnet_b2a,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,+7
regnetx_320,69.440,30.560,88.270,11.730,107.81,224,0.875,bicubic,-10.806,-6.756,+11
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,+10
ecaresnetlight,69.340,30.660,89.220,10.780,30.16,224,0.875,bicubic,-11.122,-6.028,-5
resnet50d,69.330,30.670,88.220,11.780,25.58,224,0.875,bicubic,-11.200,-6.940,-9
xception71,69.320,30.680,88.260,11.740,42.34,299,0.903,bicubic,-10.554,-6.662,+20
gluon_xception65,69.160,30.840,88.090,11.910,39.92,299,0.903,bicubic,-10.556,-6.770,+26
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,-12
gluon_resnet101_v1d,69.010,30.990,88.100,11.900,44.57,224,0.875,bicubic,-11.404,-6.914,-8
seresnet50,68.980,31.020,88.710,11.290,28.09,224,0.875,bicubic,-11.294,-6.360,0
xception65,68.980,31.020,88.480,11.520,39.92,299,0.903,bicubic,-10.572,-6.174,+27
efficientnet_b2,68.970,31.030,88.630,11.370,9.11,260,0.875,bicubic,-11.422,-6.446,-10
regnety_160,68.970,31.030,88.270,11.730,83.59,224,0.875,bicubic,-11.326,-6.692,-4
gluon_resnext101_32x4d,68.960,31.040,88.360,11.640,44.18,224,0.875,bicubic,-11.374,-6.566,-10
tf_efficientnet_b2_ap,68.920,31.080,88.350,11.650,9.11,260,0.890,bicubic,-11.380,-6.678,-7
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,-14
gluon_resnet152_v1b,68.820,31.180,87.710,12.290,60.19,224,0.875,bicubic,-10.866,-7.026,+15
dpn131,68.770,31.230,87.470,12.530,79.25,224,0.875,bicubic,-11.052,-7.240,+8
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,+12
gluon_resnet101_v1s,68.710,31.290,87.910,12.090,44.67,224,0.875,bicubic,-11.592,-7.250,-16
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,-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,+14
resnext50_32x4d,68.640,31.360,87.570,12.430,25.03,224,0.875,bicubic,-11.128,-7.028,+1
dpn98,68.590,31.410,87.680,12.320,61.57,224,0.875,bicubic,-11.052,-6.918,+6
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,+6
rexnet_130,68.450,31.550,88.040,11.960,7.56,224,0.875,bicubic,-11.050,-6.642,+8
ecaresnet50d_pruned,68.420,31.580,88.370,11.630,19.94,224,0.875,bicubic,-11.296,-6.510,-2
regnety_064,68.420,31.580,88.080,11.920,30.58,224,0.875,bicubic,-11.302,-6.688,-4
ssl_resnet50,68.410,31.590,88.560,11.440,25.56,224,0.875,bilinear,-10.812,-6.272,+18
skresnext50_32x4d,68.350,31.650,87.570,12.430,27.48,224,0.875,bicubic,-11.806,-7.072,-21
dla102x2,68.330,31.670,87.890,12.110,41.28,224,0.875,bilinear,-11.118,-6.750,+5
efficientnet_b2_pruned,68.320,31.680,88.100,11.900,8.31,260,0.890,bicubic,-11.596,-6.756,-16
gluon_resnext50_32x4d,68.310,31.690,87.300,12.700,25.03,224,0.875,bicubic,-11.044,-7.126,+4
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,+4
tf_efficientnet_el,68.180,31.820,88.350,11.650,10.59,300,0.904,bicubic,-12.260,-6.814,-42
regnetx_120,68.150,31.850,87.660,12.340,46.11,224,0.875,bicubic,-11.446,-7.078,-7
dpn92,67.990,32.010,87.580,12.420,37.67,224,0.875,bicubic,-12.018,-7.256,-25
gluon_resnet50_v1d,67.940,32.060,87.130,12.870,25.58,224,0.875,bicubic,-11.134,-7.340,+15
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,-1
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,+10
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,+15
tf_efficientnet_b0_ns,67.710,32.290,88.070,11.930,5.29,224,0.875,bicubic,-10.948,-6.306,+24
vit_base_patch16_224,67.700,32.300,87.660,12.340,86.54,224,0.900,bicubic,-11.648,-6.852,-9
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,-1
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,-20
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,-7.152,-4
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,-13
gluon_resnet101_v1b,67.460,32.540,87.240,12.760,44.55,224,0.875,bicubic,-11.846,-7.284,-17
tf_efficientnet_cc_b1_8e,67.450,32.550,87.310,12.690,39.72,240,0.882,bicubic,-11.858,-7.060,-19
res2net101_26w_4s,67.440,32.560,87.010,12.990,45.21,224,0.875,bilinear,-11.758,-7.358,-11
resnet50,67.440,32.560,87.420,12.580,25.56,224,0.875,bicubic,-11.598,-6.970,-5
resnetblur50,67.430,32.570,87.440,12.560,25.56,224,0.875,bicubic,-11.856,-7.198,-19
regnetx_032,67.290,32.710,87.000,13.000,15.30,224,0.875,bicubic,-10.882,-7.088,+22
xception41,67.250,32.750,87.200,12.800,26.97,299,0.903,bicubic,-11.266,-7.078,+7
resnest26d,67.200,32.800,87.170,12.830,17.07,224,0.875,bilinear,-11.278,-7.128,+9
efficientnet_b1,67.170,32.830,87.150,12.850,7.79,240,0.875,bicubic,-11.528,-6.994,0
legacy_seresnet101,67.160,32.840,87.060,12.940,49.33,224,0.875,bilinear,-11.222,-7.204,+12
dla60x,67.100,32.900,87.190,12.810,17.35,224,0.875,bilinear,-11.146,-6.828,+13
gluon_resnet50_v1s,67.060,32.940,86.860,13.140,25.68,224,0.875,bicubic,-11.650,-7.378,-5
tv_resnet152,67.050,32.950,87.550,12.450,60.19,224,0.875,bilinear,-11.262,-6.488,+10
dla60_res2net,67.020,32.980,87.160,12.840,20.85,224,0.875,bilinear,-11.444,-7.046,+4
dla102x,67.010,32.990,86.770,13.230,26.31,224,0.875,bilinear,-11.500,-7.458,0
mixnet_l,66.940,33.060,86.910,13.090,7.33,224,0.875,bicubic,-12.036,-7.272,-16
res2net50_26w_6s,66.910,33.090,86.860,13.140,37.05,224,0.875,bilinear,-11.660,-7.264,-4
efficientnet_es,66.880,33.120,86.730,13.270,5.44,224,0.875,bicubic,-11.186,-7.196,+12
tf_efficientnet_b1,66.880,33.120,87.010,12.990,7.79,240,0.882,bicubic,-11.946,-7.188,-15
tf_efficientnet_em,66.880,33.120,86.970,13.030,6.90,240,0.882,bicubic,-11.828,-7.344,-12
regnetx_040,66.840,33.160,86.730,13.270,22.12,224,0.875,bicubic,-11.642,-7.514,-5
hrnet_w30,66.780,33.220,86.800,13.200,37.71,224,0.875,bilinear,-11.426,-7.422,+5
tf_mixnet_l,66.780,33.220,86.470,13.530,7.33,224,0.875,bicubic,-11.994,-7.528,-17
selecsls60b,66.760,33.240,86.530,13.470,32.77,224,0.875,bicubic,-11.652,-7.644,-3
hrnet_w32,66.750,33.250,87.300,12.700,41.23,224,0.875,bilinear,-11.700,-6.886,-6
wide_resnet101_2,66.730,33.270,87.030,12.970,126.89,224,0.875,bilinear,-12.126,-7.252,-23
adv_inception_v3,66.650,33.350,86.530,13.470,23.83,299,0.875,bicubic,-10.932,-7.206,+19
dla60_res2next,66.640,33.360,87.030,12.970,17.03,224,0.875,bilinear,-11.800,-7.122,-8
gluon_resnet50_v1c,66.560,33.440,86.180,13.820,25.58,224,0.875,bicubic,-11.452,-7.808,+3
dla102,66.540,33.460,86.910,13.090,33.27,224,0.875,bilinear,-11.492,-7.036,+1
tf_inception_v3,66.410,33.590,86.660,13.340,23.83,299,0.875,bicubic,-11.452,-6.980,+8
efficientnet_b0,66.290,33.710,85.960,14.040,5.29,224,0.875,bicubic,-11.408,-7.572,+10
legacy_seresnet50,66.250,33.750,86.330,13.670,28.09,224,0.875,bilinear,-11.380,-7.418,+10
selecsls60,66.210,33.790,86.340,13.660,30.67,224,0.875,bicubic,-11.772,-7.488,+1
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,+1
inception_v3,66.150,33.850,86.330,13.670,23.83,299,0.875,bicubic,-11.288,-7.146,+13
res2net50_26w_4s,66.140,33.860,86.600,13.400,25.70,224,0.875,bilinear,-11.824,-7.254,-2
efficientnet_b1_pruned,66.090,33.910,86.570,13.430,6.33,240,0.882,bicubic,-12.146,-7.264,-13
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,-1
regnety_016,66.060,33.940,86.380,13.620,11.20,224,0.875,bicubic,-11.802,-7.340,-4
res2net50_14w_8s,66.020,33.980,86.250,13.750,25.06,224,0.875,bilinear,-12.130,-7.598,-14
seresnext26tn_32x4d,65.880,34.120,85.680,14.320,16.81,224,0.875,bicubic,-12.106,-8.066,-10
res2next50,65.850,34.150,85.840,14.160,24.67,224,0.875,bilinear,-12.396,-8.052,-20
densenet161,65.840,34.160,86.450,13.550,28.68,224,0.875,bicubic,-11.518,-7.188,+6
resnet34d,65.780,34.220,86.720,13.280,21.82,224,0.875,bicubic,-11.336,-6.662,+12
skresnet34,65.750,34.250,85.960,14.040,22.28,224,0.875,bicubic,-11.162,-7.362,+17
vit_small_patch16_224,65.740,34.260,86.120,13.880,48.75,224,0.900,bicubic,-12.118,-7.296,-8
tv_resnet101,65.690,34.310,85.980,14.020,44.55,224,0.875,bilinear,-11.684,-7.560,+1
selecsls42b,65.610,34.390,85.810,14.190,32.46,224,0.875,bicubic,-11.564,-7.580,+7
seresnext26t_32x4d,65.600,34.400,86.080,13.920,16.82,224,0.875,bicubic,-12.398,-7.628,-19
tf_efficientnet_b0_ap,65.490,34.510,85.580,14.420,5.29,224,0.875,bicubic,-11.596,-7.676,+8
seresnext26d_32x4d,65.410,34.590,85.970,14.030,16.81,224,0.875,bicubic,-12.192,-7.638,-9
tf_efficientnet_lite2,65.380,34.620,85.990,14.010,6.09,260,0.890,bicubic,-12.088,-7.764,-6
res2net50_48w_2s,65.350,34.650,85.960,14.040,25.29,224,0.875,bilinear,-12.172,-7.594,-8
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,+13
tf_efficientnet_es,65.220,34.780,85.550,14.450,5.44,224,0.875,bicubic,-12.038,-8.044,-2
dla60,65.200,34.800,85.760,14.240,22.04,224,0.875,bilinear,-11.832,-7.558,+2
ese_vovnet19b_dw,65.190,34.810,85.470,14.530,6.54,224,0.875,bicubic,-11.608,-7.798,+6
tf_efficientnet_cc_b0_4e,65.150,34.850,85.160,14.840,13.31,224,0.875,bicubic,-12.156,-8.174,-9
legacy_seresnext26_32x4d,65.050,34.950,85.660,14.340,16.79,224,0.875,bicubic,-12.054,-7.656,-3
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,+3
densenet169,64.760,35.240,85.240,14.760,14.15,224,0.875,bicubic,-11.146,-7.786,+11
mixnet_m,64.700,35.300,85.450,14.550,5.01,224,0.875,bicubic,-12.560,-7.974,-11
resnet26d,64.680,35.320,85.120,14.880,16.01,224,0.875,bicubic,-12.016,-8.030,+1
regnetx_016,64.380,35.620,85.470,14.530,9.19,224,0.875,bicubic,-12.570,-7.950,-6
tf_efficientnet_lite1,64.380,35.620,85.470,14.530,5.42,240,0.882,bicubic,-12.262,-7.756,0
tf_efficientnet_b0,64.310,35.690,85.280,14.720,5.29,224,0.875,bicubic,-12.538,-7.948,-5
tf_mixnet_m,64.270,35.730,85.090,14.910,5.01,224,0.875,bicubic,-12.672,-8.062,-8
dpn68,64.230,35.770,85.180,14.820,12.61,224,0.875,bicubic,-12.088,-7.798,0
regnety_008,64.160,35.840,85.270,14.730,6.26,224,0.875,bicubic,-12.156,-7.796,0
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,+5
resnest14d,63.590,36.410,84.250,15.750,10.61,224,0.875,bilinear,-11.914,-8.268,+6
tf_mixnet_s,63.560,36.440,84.270,15.730,4.13,224,0.875,bicubic,-12.090,-8.360,+1
resnet26,63.470,36.530,84.260,15.740,16.00,224,0.875,bicubic,-11.822,-8.310,+7
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,-3
tv_resnet50,63.330,36.670,84.640,15.360,25.56,224,0.875,bilinear,-12.808,-8.224,-7
efficientnet_lite0,63.240,36.760,84.440,15.560,4.65,224,0.875,bicubic,-12.244,-8.070,+1
mobilenetv3_rw,63.220,36.780,84.510,15.490,5.48,224,0.875,bicubic,-12.414,-8.198,-4
semnasnet_100,63.150,36.850,84.520,15.480,3.89,224,0.875,bicubic,-12.298,-8.084,0
regnety_006,63.110,36.890,84.250,15.750,6.06,224,0.875,bicubic,-12.136,-8.282,+1
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,+2
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,+2
hrnet_w18_small_v2,62.800,37.200,83.980,16.020,15.60,224,0.875,bilinear,-12.314,-8.436,-2
swsl_resnet18,62.760,37.240,84.300,15.700,11.69,224,0.875,bilinear,-10.516,-7.434,+12
gluon_resnet34_v1b,62.570,37.430,83.990,16.010,21.80,224,0.875,bicubic,-12.018,-8.000,+5
tf_efficientnet_lite0,62.550,37.450,84.220,15.780,4.65,224,0.875,bicubic,-12.280,-7.956,-1
regnetx_008,62.490,37.510,84.020,15.980,7.26,224,0.875,bicubic,-12.548,-8.316,-4
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,-15
fbnetc_100,62.440,37.560,83.380,16.620,5.57,224,0.875,bilinear,-12.684,-9.006,-10
mnasnet_100,61.900,38.100,83.710,16.290,4.38,224,0.875,bicubic,-12.758,-8.404,-3
regnety_004,61.870,38.130,83.430,16.570,4.34,224,0.875,bicubic,-12.164,-8.322,0
ssl_resnet18,61.480,38.520,83.300,16.700,11.69,224,0.875,bilinear,-11.130,-8.116,+6
regnetx_006,61.350,38.650,83.450,16.550,6.20,224,0.875,bicubic,-12.502,-8.222,-1
spnasnet_100,61.220,38.780,82.790,17.210,4.42,224,0.875,bilinear,-12.864,-9.028,-4
tv_resnet34,61.190,38.810,82.710,17.290,21.80,224,0.875,bilinear,-12.122,-8.716,-1
skresnet18,60.860,39.140,82.880,17.120,11.96,224,0.875,bicubic,-12.178,-8.288,0
tf_mobilenetv3_large_075,60.400,39.600,81.950,18.050,3.99,224,0.875,bilinear,-13.038,-9.400,-4
mobilenetv2_100,60.190,39.810,82.240,17.760,3.50,224,0.875,bicubic,-12.780,-8.776,-1
resnet18d,60.160,39.840,82.300,17.700,11.71,224,0.875,bicubic,-12.100,-8.396,+2
legacy_seresnet18,59.800,40.200,81.690,18.310,11.78,224,0.875,bicubic,-11.942,-8.644,+3
regnetx_004,59.410,40.590,81.690,18.310,5.16,224,0.875,bicubic,-12.986,-9.140,-2
tf_mobilenetv3_large_minimal_100,59.070,40.930,81.150,18.850,3.92,224,0.875,bilinear,-13.178,-9.480,0
hrnet_w18_small,58.950,41.050,81.340,18.660,13.19,224,0.875,bilinear,-13.392,-9.338,-3
gluon_resnet18_v1b,58.340,41.660,80.970,19.030,11.69,224,0.875,bicubic,-12.496,-8.792,0
resnet18,57.170,42.830,80.200,19.800,11.69,224,0.875,bilinear,-12.578,-8.878,+1
regnety_002,57.000,43.000,79.840,20.160,3.16,224,0.875,bicubic,-13.252,-9.700,-1
regnetx_002,56.050,43.950,79.210,20.790,2.68,224,0.875,bicubic,-12.712,-9.346,0
dla60x_c,56.000,44.000,78.930,21.070,1.32,224,0.875,bilinear,-11.892,-9.496,+1
tf_mobilenetv3_small_100,54.530,45.470,77.060,22.940,2.54,224,0.875,bilinear,-13.392,-10.604,-1
dla46x_c,53.050,46.950,76.870,23.130,1.07,224,0.875,bilinear,-12.920,-10.110,0
tf_mobilenetv3_small_075,52.160,47.840,75.470,24.530,2.04,224,0.875,bilinear,-13.556,-10.660,0
dla46_c,52.130,47.870,75.690,24.310,1.30,224,0.875,bilinear,-12.736,-10.602,0
tf_mobilenetv3_small_minimal_100,49.500,50.500,73.050,26.950,2.04,224,0.875,bilinear,-13.406,-11.180,0
tf_efficientnet_l2_ns_475,80.500,19.500,95.630,4.370,480.31,475,0.936,bicubic,-3.240,-1.140,-1
tf_efficientnet_l2_ns,80.100,19.900,95.860,4.140,480.31,800,0.960,bicubic,-4.264,-1.180,-3
tf_efficientnet_b7_ns,77.850,22.150,94.310,5.690,66.35,600,0.949,bicubic,-10.500,-4.346,-2
tf_efficientnet_b6_ns,77.050,22.950,93.780,6.220,43.04,528,0.942,bicubic,-11.190,-4.770,-2
ig_resnext101_32x48d,76.770,23.230,93.420,6.580,828.41,224,0.875,bilinear,-9.678,-4.460,-1
ig_resnext101_32x32d,76.730,23.270,93.190,6.810,468.53,224,0.875,bilinear,-8.420,-4.280,+4
tf_efficientnet_b5_ns,76.700,23.300,93.510,6.490,30.39,456,0.934,bicubic,-10.128,-4.574,-4
tf_efficientnet_b7_ap,75.990,24.010,92.920,7.080,66.35,600,0.949,bicubic,-9.176,-4.442,+1
tf_efficientnet_b8_ap,75.960,24.040,92.650,7.350,87.41,672,0.954,bicubic,-10.118,-5.102,-4
ig_resnext101_32x16d,75.690,24.310,92.930,7.070,194.03,224,0.875,bilinear,-8.512,-4.288,+12
tf_efficientnet_b4_ns,75.500,24.500,92.860,7.140,19.34,380,0.922,bicubic,-9.850,-4.530,-3
swsl_resnext101_32x8d,75.480,24.520,92.690,7.310,88.79,224,0.875,bilinear,-8.902,-4.676,+7
vit_base_resnet50_384,75.400,24.600,92.750,7.250,98.95,384,1.000,bicubic,-9.720,-4.500,-2
tf_efficientnet_b6_ap,75.370,24.630,92.300,7.700,43.04,528,0.942,bicubic,-9.578,-5.150,0
vit_large_patch16_384,74.780,25.220,92.580,7.420,304.72,384,1.000,bicubic,-10.594,-4.718,-8
tf_efficientnet_b8,74.540,25.460,92.180,7.820,87.41,672,0.954,bicubic,-10.884,-5.398,-10
tf_efficientnet_b7,74.450,25.550,92.120,7.880,66.35,600,0.949,bicubic,-10.536,-5.176,-4
tf_efficientnet_b5_ap,74.340,25.660,91.940,8.060,30.39,456,0.934,bicubic,-9.930,-5.230,+2
resnest200e,74.230,25.770,91.860,8.140,70.20,320,0.909,bicubic,-9.738,-4.958,+7
seresnet152d_320,74.110,25.890,91.920,8.080,66.84,320,1.000,bicubic,-10.294,-5.514,+19
swsl_resnext101_32x4d,73.980,26.020,91.970,8.030,44.18,224,0.875,bilinear,-9.242,-4.798,+14
resnest269e,73.910,26.090,91.990,8.010,110.93,416,0.928,bicubic,-11.024,-5.214,-6
tf_efficientnet_b6,73.910,26.090,91.730,8.270,43.04,528,0.942,bicubic,-10.254,-5.464,+1
tf_efficientnet_b3_ns,73.770,26.230,91.850,8.150,12.23,300,0.904,bicubic,-10.344,-5.038,+1
vit_base_patch16_384,73.710,26.290,92.080,7.920,86.86,384,1.000,bicubic,-10.544,-4.894,-3
ig_resnext101_32x8d,73.690,26.310,92.190,7.810,88.79,224,0.875,bilinear,-9.006,-4.454,+16
swsl_resnext101_32x16d,73.680,26.320,92.140,7.860,194.03,224,0.875,bilinear,-9.664,-4.700,+5
seresnet152d,73.330,26.670,91.500,8.500,66.84,256,0.940,bicubic,-10.422,-5.620,+29
resnet200d_320,73.320,26.680,91.470,8.530,64.69,320,1.000,bicubic,-10.724,-5.440,-2
tf_efficientnet_b5,73.290,26.710,91.370,8.630,30.39,456,0.934,bicubic,-10.562,-5.520,-1
resnet152d_320,73.270,26.730,91.210,8.790,60.21,320,1.000,bicubic,-10.396,-5.524,+1
resnetv2_152x4_bitm,73.120,26.880,91.790,8.210,936.53,480,1.000,bilinear,-11.970,-5.650,-18
resnetv2_152x2_bitm,72.820,27.180,92.040,7.960,236.34,480,1.000,bilinear,-11.966,-5.098,-15
resnet200d,72.780,27.220,90.930,9.070,64.69,256,0.940,bicubic,-10.462,-5.558,+1
tf_efficientnet_b4_ap,72.740,27.260,90.990,9.010,19.34,380,0.922,bicubic,-10.516,-5.404,-1
resnetv2_101x3_bitm,72.490,27.510,91.830,8.170,387.93,480,1.000,bilinear,-12.036,-5.156,-17
swsl_resnext50_32x4d,72.440,27.560,90.880,9.120,25.03,224,0.875,bilinear,-9.732,-5.352,+14
resnet101d_320,72.370,27.630,90.580,9.420,44.57,320,1.000,bicubic,-10.654,-5.876,+3
nasnetalarge,72.340,27.660,90.520,9.480,88.75,331,0.911,bicubic,-10.286,-5.530,+5
resnest101e,72.320,27.680,90.780,9.220,48.28,256,0.875,bilinear,-10.558,-5.534,+2
tf_efficientnet_b2_ns,72.320,27.680,90.990,9.010,9.11,260,0.890,bicubic,-10.072,-5.248,+4
resnet152d,72.310,27.690,90.710,9.290,60.21,256,0.940,bicubic,-10.824,-5.640,-5
tresnet_xl_448,72.170,27.830,90.130,9.870,78.44,448,0.875,bilinear,-10.886,-6.056,-4
tf_efficientnet_b4,72.150,27.850,90.480,9.520,19.34,380,0.922,bicubic,-10.876,-5.818,-4
vit_large_patch16_224,71.820,28.180,90.820,9.180,304.33,224,0.900,bicubic,-11.240,-5.624,-7
swsl_resnet50,71.650,28.350,90.520,9.480,25.56,224,0.875,bilinear,-9.486,-5.454,+24
efficientnet_b3,71.540,28.460,90.070,9.930,12.23,300,0.904,bicubic,-10.542,-5.956,+5
tresnet_l_448,71.500,28.500,89.950,10.050,55.99,448,0.875,bilinear,-10.760,-6.028,-1
resnetv2_50x3_bitm,71.480,28.520,91.360,8.640,217.32,480,1.000,bilinear,-12.328,-5.386,-19
tresnet_xl,71.480,28.520,89.460,10.540,78.44,224,0.875,bilinear,-10.574,-6.472,+3
ssl_resnext101_32x8d,71.470,28.530,90.330,9.670,88.79,224,0.875,bilinear,-10.136,-5.714,+11
efficientnet_b3a,71.460,28.540,90.020,9.980,12.23,320,1.000,bicubic,-10.794,-6.094,-4
resnet101d,71.400,28.600,90.150,9.850,44.57,256,0.940,bicubic,-10.910,-5.914,-7
ecaresnet101d,71.240,28.760,90.240,9.760,44.57,224,0.875,bicubic,-10.936,-5.816,-4
ssl_resnext101_32x16d,71.170,28.830,90.460,9.540,194.03,224,0.875,bilinear,-10.668,-5.632,0
vit_base_patch32_384,71.120,28.880,90.520,9.480,88.30,384,1.000,bicubic,-10.536,-5.610,+3
regnety_032,71.070,28.930,90.250,9.750,19.44,224,0.875,bicubic,-10.938,-5.662,-3
vit_base_patch16_224,71.030,28.970,90.420,9.580,86.57,224,0.900,bicubic,-10.754,-5.706,-1
tf_efficientnet_b3_ap,71.010,28.990,89.220,10.780,12.23,300,0.904,bicubic,-10.812,-6.400,-3
rexnet_200,70.840,29.160,89.800,10.200,16.37,224,0.875,bicubic,-10.786,-5.872,+1
resnest50d_4s2x40d,70.800,29.200,89.520,10.480,30.42,224,0.875,bicubic,-10.314,-6.034,+10
tresnet_m_448,70.780,29.220,88.690,11.310,31.39,448,0.875,bilinear,-10.938,-6.876,-4
wide_resnet50_2,70.690,29.310,89.110,10.890,68.88,224,0.875,bicubic,-10.762,-6.412,+2
tresnet_l,70.670,29.330,89.640,10.360,55.99,224,0.875,bilinear,-10.816,-5.980,0
tf_efficientnet_b1_ns,70.630,29.370,89.930,10.070,7.79,240,0.882,bicubic,-10.756,-5.810,+1
legacy_senet154,70.490,29.510,88.960,11.040,115.09,224,0.875,bilinear,-10.836,-6.548,+1
gluon_seresnext101_64x4d,70.460,29.540,89.180,10.820,88.23,224,0.875,bicubic,-10.424,-6.134,+9
seresnext50_32x4d,70.450,29.550,89.130,10.870,27.56,224,0.875,bicubic,-10.824,-6.488,0
tf_efficientnet_b3,70.400,29.600,89.270,10.730,12.23,300,0.904,bicubic,-11.246,-6.452,-9
ssl_resnext101_32x4d,70.370,29.630,89.810,10.190,44.18,224,0.875,bilinear,-10.544,-5.924,+5
gluon_senet154,70.350,29.650,88.970,11.030,115.09,224,0.875,bicubic,-10.878,-6.382,-2
resnest50d_1s4x24d,70.350,29.650,89.140,10.860,25.68,224,0.875,bicubic,-10.654,-6.186,+1
resnetv2_101x1_bitm,70.320,29.680,90.640,9.360,44.54,480,1.000,bilinear,-11.894,-5.832,-24
resnest50d,70.250,29.750,88.620,11.380,27.48,224,0.875,bilinear,-10.708,-6.758,0
tf_efficientnet_lite4,70.200,29.800,89.030,10.970,13.01,380,0.920,bilinear,-11.336,-6.630,-12
gluon_resnet152_v1s,70.120,29.880,88.890,11.110,60.32,224,0.875,bicubic,-10.898,-6.530,-4
gluon_seresnext101_32x4d,69.910,30.090,88.850,11.150,48.96,224,0.875,bicubic,-10.962,-6.442,0
regnety_320,69.870,30.130,88.760,11.240,145.05,224,0.875,bicubic,-10.928,-6.486,+3
gluon_resnet152_v1d,69.810,30.190,88.500,11.500,60.21,224,0.875,bicubic,-10.668,-6.700,+7
ecaresnet101d_pruned,69.700,30.300,89.330,10.670,24.88,224,0.875,bicubic,-11.116,-6.308,-1
tresnet_m,69.670,30.330,87.960,12.040,31.39,224,0.875,bilinear,-11.134,-6.898,-1
ssl_resnext50_32x4d,69.600,30.400,89.320,10.680,25.03,224,0.875,bilinear,-10.702,-6.092,+13
ecaresnet50d,69.570,30.430,89.290,10.710,25.58,224,0.875,bicubic,-11.044,-6.018,0
efficientnet_b3_pruned,69.530,30.470,88.770,11.230,9.86,300,0.904,bicubic,-11.328,-6.470,-6
gluon_resnext101_64x4d,69.490,30.510,88.260,11.740,83.46,224,0.875,bicubic,-11.140,-6.738,-3
regnetx_320,69.440,30.560,88.140,11.860,107.81,224,0.875,bicubic,-10.814,-6.890,+14
rexnet_150,69.410,30.590,88.970,11.030,9.73,224,0.875,bicubic,-10.900,-6.192,+7
efficientnet_b2a,69.400,30.600,88.650,11.350,9.11,288,1.000,bicubic,-11.214,-6.668,-4
ecaresnetlight,69.330,30.670,89.210,10.790,30.16,224,0.875,bicubic,-11.128,-6.040,-1
xception71,69.270,30.730,88.170,11.830,42.34,299,0.903,bicubic,-10.614,-6.762,+22
resnet50d,69.170,30.830,88.140,11.860,25.58,224,0.875,bicubic,-11.378,-7.018,-6
mixnet_xl,69.060,30.940,88.360,11.640,11.90,224,0.875,bicubic,-11.414,-6.574,-5
legacy_seresnext101_32x4d,69.040,30.960,88.070,11.930,48.96,224,0.875,bilinear,-11.188,-6.950,+8
regnety_120,68.990,31.010,88.180,11.820,51.82,224,0.875,bicubic,-11.388,-6.942,-2
gluon_resnet152_v1c,68.960,31.040,87.650,12.350,60.21,224,0.875,bicubic,-10.954,-7.198,+15
efficientnet_b2,68.930,31.070,88.470,11.530,9.11,260,0.875,bicubic,-11.448,-6.608,-5
gluon_resnext101_32x4d,68.880,31.120,88.310,11.690,44.18,224,0.875,bicubic,-11.454,-6.598,-4
hrnet_w64,68.840,31.160,88.160,11.840,128.06,224,0.875,bilinear,-10.622,-6.494,+31
gluon_resnet152_v1b,68.800,31.200,87.560,12.440,60.19,224,0.875,bicubic,-10.892,-7.174,+22
tf_efficientnet_b2_ap,68.790,31.210,88.330,11.670,9.11,260,0.890,bicubic,-11.512,-6.702,-4
gluon_resnet101_v1d,68.780,31.220,88.080,11.920,44.57,224,0.875,bicubic,-11.622,-6.940,-11
gluon_xception65,68.770,31.230,87.950,12.050,39.92,299,0.903,bicubic,-10.932,-6.918,+18
seresnet50,68.760,31.240,88.530,11.470,28.09,224,0.875,bicubic,-11.498,-6.536,-5
xception65,68.760,31.240,88.250,11.750,39.92,299,0.903,bicubic,-10.790,-6.408,+21
cspdarknet53,68.760,31.240,88.530,11.470,27.64,256,0.887,bilinear,-11.288,-6.562,+3
cspresnext50,68.720,31.280,88.030,11.970,20.57,224,0.875,bilinear,-11.326,-6.914,+1
regnety_160,68.720,31.280,88.200,11.800,83.59,224,0.875,bicubic,-11.556,-6.768,-9
resnext50d_32x4d,68.670,31.330,88.230,11.770,25.05,224,0.875,bicubic,-10.998,-6.636,+14
dpn131,68.640,31.360,87.220,12.780,79.25,224,0.875,bicubic,-11.186,-7.492,+6
gluon_resnet101_v1s,68.640,31.360,87.720,12.280,44.67,224,0.875,bicubic,-11.646,-7.440,-13
gluon_seresnext50_32x4d,68.570,31.430,88.140,11.860,27.56,224,0.875,bicubic,-11.354,-6.682,-2
regnetx_160,68.520,31.480,88.280,11.720,54.28,224,0.875,bicubic,-11.318,-6.544,+2
regnety_080,68.500,31.500,88.000,12.000,39.18,224,0.875,bicubic,-11.370,-6.830,0
tf_efficientnet_b2,68.460,31.540,88.020,11.980,9.11,260,0.890,bicubic,-11.612,-6.884,-9
skresnext50_32x4d,68.440,31.560,87.610,12.390,27.48,224,0.875,bicubic,-11.706,-7.030,-11
dpn107,68.390,31.610,88.070,11.930,86.92,224,0.875,bicubic,-11.766,-6.840,-13
cspresnet50,68.380,31.620,87.950,12.050,21.62,256,0.887,bilinear,-11.194,-6.758,+8
dla102x2,68.380,31.620,87.800,12.200,41.28,224,0.875,bilinear,-11.062,-6.846,+12
resnext50_32x4d,68.360,31.640,87.570,12.430,25.03,224,0.875,bicubic,-11.430,-7.036,-2
ssl_resnet50,68.360,31.640,88.580,11.420,25.56,224,0.875,bilinear,-10.876,-6.250,+20
regnety_064,68.350,31.650,88.030,11.970,30.58,224,0.875,bicubic,-11.382,-6.734,-3
dpn98,68.300,31.700,87.560,12.440,61.57,224,0.875,bicubic,-11.350,-7.046,+1
regnetx_120,68.240,31.760,87.570,12.430,46.11,224,0.875,bicubic,-11.370,-7.162,+1
efficientnet_b2_pruned,68.220,31.780,88.070,11.930,8.31,260,0.890,bicubic,-11.686,-6.786,-13
ese_vovnet39b,68.220,31.780,88.290,11.710,24.57,224,0.875,bicubic,-11.092,-6.432,+9
rexnet_130,68.220,31.780,88.010,11.990,7.56,224,0.875,bicubic,-11.274,-6.664,+2
tf_efficientnet_el,68.170,31.830,88.230,11.770,10.59,300,0.904,bicubic,-12.278,-6.940,-38
ecaresnet50d_pruned,68.160,31.840,88.340,11.660,19.94,224,0.875,bicubic,-11.552,-6.536,-9
gluon_resnext50_32x4d,68.160,31.840,87.370,12.630,25.03,224,0.875,bicubic,-11.194,-7.054,+2
regnetx_080,67.930,32.070,87.080,12.920,39.57,224,0.875,bicubic,-11.282,-7.474,+13
tf_efficientnet_lite3,67.920,32.080,87.710,12.290,8.20,300,0.904,bilinear,-11.906,-7.198,-15
legacy_seresnext50_32x4d,67.890,32.110,87.590,12.410,27.56,224,0.875,bilinear,-11.194,-6.844,+14
gluon_resnet50_v1d,67.880,32.120,86.940,13.060,25.58,224,0.875,bicubic,-11.184,-7.530,+15
hrnet_w48,67.800,32.200,87.370,12.630,77.47,224,0.875,bilinear,-11.516,-7.144,-1
resnext101_32x8d,67.750,32.250,87.360,12.640,88.79,224,0.875,bilinear,-11.554,-7.166,+1
tf_efficientnet_b0_ns,67.720,32.280,87.940,12.060,5.29,224,0.875,bicubic,-10.940,-6.432,+27
hrnet_w44,67.700,32.300,87.510,12.490,67.06,224,0.875,bilinear,-11.190,-6.864,+16
dla169,67.670,32.330,87.470,12.530,53.39,224,0.875,bilinear,-11.024,-6.860,+23
regnetx_064,67.660,32.340,87.470,12.530,26.21,224,0.875,bicubic,-11.404,-6.990,+8
regnety_040,67.620,32.380,87.390,12.610,20.65,224,0.875,bicubic,-11.612,-7.254,+1
dpn92,67.580,32.420,87.290,12.710,37.67,224,0.875,bicubic,-12.410,-7.554,-33
efficientnet_em,67.560,32.440,88.120,11.880,6.90,240,0.882,bicubic,-11.704,-6.670,-3
xception,67.550,32.450,87.510,12.490,22.86,299,0.897,bicubic,-11.496,-6.886,+6
gluon_inception_v3,67.540,32.460,87.250,12.750,23.83,299,0.875,bicubic,-11.260,-7.130,+12
dpn68b,67.530,32.470,87.500,12.500,12.61,224,0.875,bicubic,-11.682,-6.922,-3
legacy_seresnet152,67.510,32.490,87.470,12.530,66.82,224,0.875,bilinear,-11.156,-6.906,+16
hrnet_w40,67.480,32.520,87.140,12.860,57.56,224,0.875,bilinear,-11.452,-7.338,+5
resnetblur50,67.460,32.540,87.570,12.430,25.56,224,0.875,bicubic,-11.826,-7.070,-11
resnet50,67.450,32.550,87.430,12.570,25.56,224,0.875,bicubic,-11.586,-6.962,+1
resnetv2_50x1_bitm,67.440,32.560,89.100,10.900,25.55,480,1.000,bilinear,-12.752,-6.530,-48
res2net50_26w_8s,67.430,32.570,87.140,12.860,48.40,224,0.875,bilinear,-11.762,-7.228,-6
tf_efficientnet_b1_ap,67.430,32.570,87.540,12.460,7.79,240,0.882,bicubic,-11.846,-6.762,-14
tf_efficientnet_cc_b1_8e,67.380,32.620,87.280,12.720,39.72,240,0.882,bicubic,-11.946,-7.092,-21
gluon_resnet101_v1b,67.360,32.640,87.050,12.950,44.55,224,0.875,bicubic,-11.944,-7.480,-19
res2net101_26w_4s,67.350,32.650,87.170,12.830,45.21,224,0.875,bilinear,-11.844,-7.264,-11
xception41,67.300,32.700,87.150,12.850,26.97,299,0.903,bicubic,-11.236,-7.134,+8
gluon_resnet101_v1c,67.300,32.700,87.060,12.940,44.57,224,0.875,bicubic,-12.232,-7.528,-29
efficientnet_b1,67.250,32.750,86.970,13.030,7.79,240,0.875,bicubic,-11.456,-7.184,+1
regnetx_032,67.140,32.860,86.980,13.020,15.30,224,0.875,bicubic,-11.008,-7.108,+20
legacy_seresnet101,67.120,32.880,87.040,12.960,49.33,224,0.875,bilinear,-11.260,-7.222,+13
dla60_res2net,67.110,32.890,87.060,12.940,20.85,224,0.875,bilinear,-11.350,-7.146,+8
resnest26d,67.110,32.890,87.130,12.870,17.07,224,0.875,bilinear,-11.370,-7.170,+6
dla60x,67.080,32.920,87.190,12.810,17.35,224,0.875,bilinear,-11.170,-6.834,+12
dla102x,67.010,32.990,86.730,13.270,26.31,224,0.875,bilinear,-11.500,-7.500,+2
res2net50_26w_6s,66.950,33.050,86.810,13.190,37.05,224,0.875,bilinear,-11.616,-7.310,-1
gluon_resnet50_v1s,66.940,33.060,86.790,13.210,25.68,224,0.875,bicubic,-11.760,-7.456,-6
mixnet_l,66.940,33.060,86.790,13.210,7.33,224,0.875,bicubic,-12.040,-7.392,-16
tv_resnet152,66.920,33.080,87.450,12.550,60.19,224,0.875,bilinear,-11.400,-6.602,+6
tf_efficientnet_b1,66.810,33.190,86.920,13.080,7.79,240,0.882,bicubic,-12.034,-7.276,-14
dla60_res2next,66.710,33.290,86.940,13.060,17.03,224,0.875,bilinear,-11.734,-7.218,+1
gluon_resnet50_v1c,66.710,33.290,86.080,13.920,25.58,224,0.875,bicubic,-11.298,-7.908,+12
efficientnet_es,66.700,33.300,86.670,13.330,5.44,224,0.875,bicubic,-11.388,-7.262,+9
hrnet_w30,66.700,33.300,86.730,13.270,37.71,224,0.875,bilinear,-11.506,-7.494,+5
regnetx_040,66.650,33.350,86.530,13.470,22.12,224,0.875,bicubic,-11.834,-7.722,-7
hrnet_w32,66.640,33.360,87.180,12.820,41.23,224,0.875,bilinear,-11.806,-7.010,-5
selecsls60b,66.640,33.360,86.590,13.410,32.77,224,0.875,bicubic,-11.770,-7.588,-4
tf_mixnet_l,66.620,33.380,86.390,13.610,7.33,224,0.875,bicubic,-12.156,-7.612,-20
dla102,66.570,33.430,86.930,13.070,33.27,224,0.875,bilinear,-11.460,-7.022,+4
wide_resnet101_2,66.550,33.450,87.010,12.990,126.89,224,0.875,bilinear,-12.304,-7.272,-25
tf_efficientnet_em,66.540,33.460,86.800,13.200,6.90,240,0.882,bicubic,-12.172,-7.528,-22
adv_inception_v3,66.360,33.640,86.380,13.620,23.83,299,0.875,bicubic,-11.222,-7.360,+16
selecsls60,66.340,33.660,86.290,13.710,30.67,224,0.875,bicubic,-11.650,-7.538,+3
tf_inception_v3,66.310,33.690,86.570,13.430,23.83,299,0.875,bicubic,-11.556,-7.076,+7
efficientnet_b0,66.130,33.870,86.090,13.910,5.29,224,0.875,bicubic,-11.576,-7.432,+9
tf_efficientnet_cc_b0_8e,66.110,33.890,86.110,13.890,24.01,224,0.875,bicubic,-11.798,-7.542,+3
legacy_seresnet50,66.090,33.910,86.290,13.710,28.09,224,0.875,bilinear,-11.546,-7.454,+8
res2net50_14w_8s,66.020,33.980,86.200,13.800,25.06,224,0.875,bilinear,-12.118,-7.656,-7
res2net50_26w_4s,66.010,33.990,86.580,13.420,25.70,224,0.875,bilinear,-11.982,-7.272,-4
inception_v3,66.000,34.000,86.120,13.880,23.83,299,0.875,bicubic,-11.464,-7.356,+12
tv_resnext50_32x4d,65.970,34.030,86.030,13.970,25.03,224,0.875,bilinear,-11.644,-7.654,+5
regnety_016,65.950,34.050,86.270,13.730,11.20,224,0.875,bicubic,-11.918,-7.456,-3
efficientnet_b1_pruned,65.950,34.050,86.500,13.500,6.33,240,0.882,bicubic,-12.298,-7.336,-15
gluon_resnet50_v1b,65.910,34.090,86.230,13.770,25.56,224,0.875,bicubic,-11.668,-7.488,+5
tv_resnet101,65.850,34.150,85.980,14.020,44.55,224,0.875,bilinear,-11.516,-7.576,+8
rexnet_100,65.810,34.190,86.510,13.490,4.80,224,0.875,bicubic,-12.052,-7.368,-4
seresnext26tn_32x4d,65.780,34.220,85.600,14.400,16.81,224,0.875,bicubic,-12.206,-8.144,-9
resnet34d,65.770,34.230,86.630,13.370,21.82,224,0.875,bicubic,-11.344,-6.752,+13
densenet161,65.710,34.290,86.510,13.490,28.68,224,0.875,bicubic,-11.650,-7.124,+5
vit_small_patch16_224,65.710,34.290,86.130,13.870,48.75,224,0.900,bicubic,-12.144,-7.294,-7
skresnet34,65.690,34.310,85.960,14.040,22.28,224,0.875,bicubic,-11.240,-7.362,+16
res2next50,65.610,34.390,85.790,14.210,24.67,224,0.875,bilinear,-12.626,-8.116,-24
selecsls42b,65.560,34.440,85.860,14.140,32.46,224,0.875,bicubic,-11.624,-7.528,+7
seresnext26t_32x4d,65.440,34.560,86.140,13.860,16.82,224,0.875,bicubic,-12.548,-7.592,-17
tf_efficientnet_lite2,65.310,34.690,86.010,13.990,6.09,260,0.890,bicubic,-12.172,-7.738,-4
densenet201,65.300,34.700,85.660,14.340,20.01,224,0.875,bicubic,-11.990,-7.820,0
densenetblur121d,65.260,34.740,85.790,14.210,8.00,224,0.875,bicubic,-11.326,-7.406,+16
seresnext26d_32x4d,65.250,34.750,85.820,14.180,16.81,224,0.875,bicubic,-12.336,-7.788,-11
res2net50_48w_2s,65.220,34.780,85.910,14.090,25.29,224,0.875,bilinear,-12.314,-7.650,-9
tf_efficientnet_b0_ap,65.200,34.800,85.490,14.510,5.29,224,0.875,bicubic,-11.902,-7.774,+3
hrnet_w18,65.110,34.890,85.670,14.330,21.30,224,0.875,bilinear,-11.654,-7.772,+9
ese_vovnet19b_dw,65.090,34.910,85.420,14.580,6.54,224,0.875,bicubic,-11.728,-7.858,+7
dla60,65.070,34.930,85.700,14.300,22.04,224,0.875,bilinear,-11.966,-7.624,+1
tf_efficientnet_es,65.030,34.970,85.410,14.590,5.44,224,0.875,bicubic,-12.254,-8.194,-7
tf_efficientnet_cc_b0_4e,64.940,35.060,85.030,14.970,13.31,224,0.875,bicubic,-12.380,-8.292,-10
mobilenetv2_120d,64.930,35.070,85.870,14.130,5.83,224,0.875,bicubic,-12.348,-7.640,-8
legacy_seresnext26_32x4d,64.820,35.180,85.540,14.460,16.79,224,0.875,bicubic,-12.286,-7.768,-5
mixnet_m,64.740,35.260,85.510,14.490,5.01,224,0.875,bicubic,-12.534,-7.912,-9
resnet26d,64.590,35.410,85.090,14.910,16.01,224,0.875,bicubic,-12.098,-8.056,+2
tf_efficientnet_lite1,64.490,35.510,85.510,14.490,5.42,240,0.882,bicubic,-12.176,-7.728,+2
tf_mixnet_m,64.470,35.530,84.930,15.070,5.01,224,0.875,bicubic,-12.486,-8.234,-6
densenet169,64.420,35.580,85.270,14.730,14.15,224,0.875,bicubic,-11.478,-7.752,+7
regnetx_016,64.270,35.730,85.450,14.550,9.19,224,0.875,bicubic,-12.676,-7.976,-7
tf_efficientnet_b0,64.150,35.850,85.170,14.830,5.29,224,0.875,bicubic,-12.698,-8.062,-6
dpn68,64.030,35.970,84.990,15.010,12.61,224,0.875,bicubic,-12.282,-7.978,+1
mobilenetv2_140,63.850,36.150,84.950,15.050,6.11,224,0.875,bicubic,-12.662,-8.048,-2
densenet121,63.730,36.270,84.600,15.400,7.98,224,0.875,bicubic,-11.834,-8.048,+6
regnety_008,63.720,36.280,85.240,14.760,6.26,224,0.875,bicubic,-12.600,-7.828,-3
mixnet_s,63.540,36.460,84.710,15.290,4.13,224,0.875,bicubic,-12.454,-8.080,-1
resnest14d,63.540,36.460,84.020,15.980,10.61,224,0.875,bilinear,-11.974,-8.498,+4
resnet26,63.440,36.560,84.220,15.780,16.00,224,0.875,bicubic,-11.850,-8.346,+7
tf_mixnet_s,63.430,36.570,84.090,15.910,4.13,224,0.875,bicubic,-12.252,-8.548,-1
mobilenetv3_large_100,63.310,36.690,84.050,15.950,5.48,224,0.875,bicubic,-12.464,-8.488,-3
mobilenetv3_rw,63.270,36.730,84.560,15.440,5.48,224,0.875,bicubic,-12.350,-8.152,-2
tv_resnet50,63.210,36.790,84.650,15.350,25.56,224,0.875,bilinear,-12.948,-8.228,-8
efficientnet_lite0,63.150,36.850,84.350,15.650,4.65,224,0.875,bicubic,-12.352,-8.164,0
semnasnet_100,63.060,36.940,84.450,15.550,3.89,224,0.875,bicubic,-12.392,-8.160,0
resnet34,62.860,37.140,84.150,15.850,21.80,224,0.875,bilinear,-12.246,-8.126,+4
tv_densenet121,62.790,37.210,84.120,15.880,7.98,224,0.875,bicubic,-11.952,-8.034,+8
legacy_seresnet34,62.770,37.230,84.200,15.800,21.96,224,0.875,bilinear,-12.020,-7.926,+6
regnety_006,62.740,37.260,84.110,15.890,6.06,224,0.875,bicubic,-12.528,-8.420,-2
hrnet_w18_small_v2,62.660,37.340,83.840,16.160,15.60,224,0.875,bilinear,-12.448,-8.572,-1
swsl_resnet18,62.650,37.350,84.290,15.710,11.69,224,0.875,bilinear,-10.630,-7.468,+13
mobilenetv2_110d,62.620,37.380,84.450,15.550,4.52,224,0.875,bicubic,-12.428,-7.740,0
tf_efficientnet_lite0,62.550,37.450,84.160,15.840,4.65,224,0.875,bicubic,-12.282,-8.014,0
dla34,62.500,37.500,83.870,16.130,15.74,224,0.875,bilinear,-12.124,-8.192,+3
regnetx_008,62.500,37.500,83.970,16.030,7.26,224,0.875,bicubic,-12.552,-8.372,-4
gluon_resnet34_v1b,62.450,37.550,83.920,16.080,21.80,224,0.875,bicubic,-12.138,-8.076,+2
fbnetc_100,62.370,37.630,83.370,16.630,5.57,224,0.875,bilinear,-12.746,-9.004,-9
tf_mobilenetv3_large_100,62.230,37.770,83.840,16.160,5.48,224,0.875,bilinear,-13.280,-8.770,-15
regnety_004,61.960,38.040,83.450,16.550,4.34,224,0.875,bicubic,-12.058,-8.314,+1
mnasnet_100,61.900,38.100,83.740,16.260,4.38,224,0.875,bicubic,-12.770,-8.362,-4
ssl_resnet18,61.520,38.480,83.290,16.710,11.69,224,0.875,bilinear,-11.096,-8.126,+6
tv_resnet34,61.150,38.850,82.640,17.360,21.80,224,0.875,bilinear,-12.154,-8.784,+1
regnetx_006,61.130,38.870,83.240,16.760,6.20,224,0.875,bicubic,-12.714,-8.438,-2
spnasnet_100,61.070,38.930,82.770,17.230,4.42,224,0.875,bilinear,-13.010,-9.050,-5
skresnet18,60.820,39.180,82.870,17.130,11.96,224,0.875,bicubic,-12.206,-8.302,0
tf_mobilenetv3_large_075,60.370,39.630,81.790,18.210,3.99,224,0.875,bilinear,-13.078,-9.552,-4
mobilenetv2_100,60.210,39.790,82.030,17.970,3.50,224,0.875,bicubic,-12.740,-8.972,-1
resnet18d,59.860,40.140,82.310,17.690,11.71,224,0.875,bicubic,-12.414,-8.378,+2
legacy_seresnet18,59.710,40.290,81.610,18.390,11.78,224,0.875,bicubic,-12.026,-8.732,+3
regnetx_004,59.250,40.750,81.830,18.170,5.16,224,0.875,bicubic,-13.144,-8.988,-2
tf_mobilenetv3_large_minimal_100,59.040,40.960,80.890,19.110,3.92,224,0.875,bilinear,-13.204,-9.746,0
hrnet_w18_small,58.900,41.100,81.310,18.690,13.19,224,0.875,bilinear,-13.436,-9.374,-3
gluon_resnet18_v1b,58.300,41.700,80.990,19.010,11.69,224,0.875,bicubic,-12.538,-8.768,0
resnet18,57.250,42.750,80.100,19.900,11.69,224,0.875,bilinear,-12.492,-8.986,+1
regnety_002,56.980,43.020,79.820,20.180,3.16,224,0.875,bicubic,-13.298,-9.726,-1
dla60x_c,56.100,43.900,78.950,21.050,1.32,224,0.875,bilinear,-11.812,-9.468,+2
regnetx_002,55.820,44.180,79.230,20.770,2.68,224,0.875,bicubic,-12.934,-9.330,-1
tf_mobilenetv3_small_100,54.530,45.470,77.020,22.980,2.54,224,0.875,bilinear,-13.392,-10.656,-1
dla46x_c,53.130,46.870,76.800,23.200,1.07,224,0.875,bilinear,-12.846,-10.188,0
tf_mobilenetv3_small_075,52.360,47.640,75.470,24.530,2.04,224,0.875,bilinear,-13.364,-10.664,0
dla46_c,52.020,47.980,75.730,24.270,1.30,224,0.875,bilinear,-12.850,-10.564,0
tf_mobilenetv3_small_minimal_100,49.570,50.430,72.830,27.170,2.04,224,0.875,bilinear,-13.340,-11.414,0
pnasnet5large,1.000,99.000,18.050,81.950,86.06,331,0.911,bicubic,+0.016,-0.526,+2
inception_resnet_v2,0.990,99.010,16.530,83.470,55.85,299,0.897,bicubic,+0.040,-0.764,+2
ens_adv_inception_resnet_v2,0.970,99.030,16.450,83.550,55.85,299,0.897,bicubic,-0.028,-0.874,-1
inception_v4,0.950,99.050,16.030,83.970,42.68,299,0.875,bicubic,-0.058,-0.824,-3

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 80.500 19.540 19.500 95.730 95.630 4.270 4.370 480.31 475 0.936 bicubic -7.774 -3.240 -2.816 -1.140 +1 -1
3 tf_efficientnet_l2_ns 80.250 80.100 19.750 19.900 95.840 95.860 4.160 4.140 480.31 800 0.960 bicubic -8.102 -4.264 -2.810 -1.180 -1 -3
4 tf_efficientnet_b7_ns 78.510 77.850 21.490 22.150 94.380 94.310 5.620 5.690 66.35 600 0.949 bicubic -8.330 -10.500 -3.714 -4.346 0 -2
5 tf_efficientnet_b6_ns 77.280 77.050 22.720 22.950 93.890 93.780 6.110 6.220 43.04 528 0.942 bicubic -9.172 -11.190 -3.992 -4.770 0 -2
6 ig_resnext101_32x48d 76.870 76.770 23.130 23.230 93.310 93.420 6.690 6.580 828.41 224 0.875 bilinear -8.558 -9.678 -4.262 -4.460 +1 -1
7 ig_resnext101_32x32d 76.840 76.730 23.160 23.270 93.200 93.190 6.800 6.810 468.53 224 0.875 bilinear -8.254 -8.420 -4.238 -4.280 +6 +4
8 tf_efficientnet_b5_ns 76.810 76.700 23.190 23.300 93.580 93.510 6.420 6.490 30.39 456 0.934 bicubic -9.278 -10.128 -4.172 -4.574 -2 -4
9 tf_efficientnet_b7_ap 76.090 75.990 23.910 24.010 92.970 92.920 7.030 7.080 66.35 600 0.949 bicubic -9.030 -9.176 -4.282 -4.442 +3 +1
10 tf_efficientnet_b8_ap 76.090 75.960 23.910 24.040 92.730 92.650 7.270 7.350 87.41 672 0.954 bicubic -9.280 -10.118 -4.564 -5.102 -1 -4
11 ig_resnext101_32x16d 75.720 75.690 24.280 24.310 92.910 92.930 7.090 7.070 194.03 224 0.875 bilinear -8.450 -8.512 -4.286 -4.288 +9 +12
12 tf_efficientnet_b4_ns 75.670 75.500 24.330 24.500 93.050 92.860 6.950 7.140 19.34 380 0.922 bicubic -9.492 -9.850 -4.420 -4.530 -2 -3
13 swsl_resnext101_32x8d 75.430 75.480 24.570 24.520 92.760 92.690 7.240 7.310 88.79 224 0.875 bilinear -8.854 -8.902 -4.416 -4.676 +4 +7
14 tf_efficientnet_b6_ap vit_base_resnet50_384 75.380 75.400 24.620 24.600 92.440 92.750 7.560 7.250 43.04 98.95 528 384 0.942 1.000 bicubic -9.408 -9.720 -4.698 -4.500 +1 -2
15 vit_large_patch16_384 tf_efficientnet_b6_ap 75.150 75.370 24.850 24.630 92.660 92.300 7.340 7.700 304.72 43.04 384 528 1.000 0.942 bicubic -10.008 -9.578 -4.696 -5.150 -4 0
16 tf_efficientnet_b8 vit_large_patch16_384 74.940 74.780 25.060 25.220 92.310 92.580 7.690 7.420 87.41 304.72 672 384 0.954 1.000 bicubic -10.430 -10.594 -5.080 -4.718 -8
17 tf_efficientnet_b7 tf_efficientnet_b8 74.720 74.540 25.280 25.460 92.220 92.180 7.780 7.820 66.35 87.41 600 672 0.949 0.954 bicubic -10.216 -10.884 -4.984 -5.398 -3 -10
18 tf_efficientnet_b5_ap tf_efficientnet_b7 74.600 74.450 25.400 25.550 91.990 92.120 8.010 7.880 30.39 66.35 456 600 0.934 0.949 bicubic -9.652 -10.536 -4.984 -5.176 0 -4
19 resnest200e tf_efficientnet_b5_ap 74.480 74.340 25.520 25.660 91.860 91.940 8.140 8.060 70.20 30.39 320 456 0.909 0.934 bicubic -9.352 -9.930 -5.034 -5.230 +4 +2
20 resnest269e resnest200e 74.170 74.230 25.830 25.770 91.950 91.860 8.050 8.140 110.93 70.20 416 320 0.928 0.909 bicubic -10.348 -9.738 -5.036 -4.958 -4 +7
21 swsl_resnext101_32x4d seresnet152d_320 74.140 74.110 25.860 25.890 91.990 91.920 8.010 8.080 44.18 66.84 224 320 0.875 1.000 bilinear bicubic -9.090 -10.294 -4.770 -5.514 +6 +19
22 vit_base_patch16_384 swsl_resnext101_32x4d 74.130 73.980 25.870 26.020 92.360 91.970 7.640 8.030 86.86 44.18 384 224 1.000 0.875 bicubic bilinear -10.080 -9.242 -4.858 -4.798 -3 +14
23 swsl_resnext101_32x16d resnest269e 74.020 73.910 25.980 26.090 92.160 91.990 7.840 8.010 194.03 110.93 224 416 0.875 0.928 bilinear bicubic -9.326 -11.024 -4.686 -5.214 +2 -6
24 tf_efficientnet_b6 73.900 73.910 26.100 26.090 91.750 91.730 8.250 8.270 43.04 528 0.942 bicubic -10.210 -10.254 -5.136 -5.464 -3 +1
25 tf_efficientnet_b3_ns 73.890 73.770 26.110 26.230 91.870 91.850 8.130 8.150 12.23 300 0.904 bicubic -10.158 -10.344 -5.040 -5.038 -3 +1
26 ig_resnext101_32x8d vit_base_patch16_384 73.650 73.710 26.350 26.290 92.190 92.080 7.810 7.920 88.79 86.86 224 384 0.875 1.000 bilinear bicubic -9.038 -10.544 -4.446 -4.894 +6 -3
27 tf_efficientnet_b5 ig_resnext101_32x8d 73.550 73.690 26.450 26.310 91.460 92.190 8.540 7.810 30.39 88.79 456 224 0.934 0.875 bicubic bilinear -10.262 -9.006 -5.288 -4.454 -3 +16
28 tf_efficientnet_b4_ap swsl_resnext101_32x16d 72.890 73.680 27.110 26.320 90.980 92.140 9.020 7.860 19.34 194.03 380 224 0.922 0.875 bicubic bilinear -10.358 -9.664 -5.412 -4.700 -2 +5
29 pnasnet5large seresnet152d 72.610 73.330 27.390 26.670 90.510 91.500 9.490 8.500 86.06 66.84 331 256 0.911 0.940 bicubic -10.172 -10.422 -5.530 -5.620 +2 +29
30 resnest101e resnet200d_320 72.570 73.320 27.430 26.680 90.820 91.470 9.180 8.530 48.28 64.69 256 320 0.875 1.000 bilinear bicubic -10.320 -10.724 -5.500 -5.440 0 -2
31 swsl_resnext50_32x4d tf_efficientnet_b5 72.560 73.290 27.440 26.710 90.870 91.370 9.130 8.630 25.03 30.39 224 456 0.875 0.934 bilinear bicubic -9.622 -10.562 -5.360 -5.520 +6 -1
32 tresnet_xl_448 resnet152d_320 72.550 73.270 27.450 26.730 90.310 91.210 9.690 8.790 78.44 60.21 448 320 0.875 1.000 bilinear bicubic -10.500 -10.396 -5.864 -5.524 -4 +1
33 tf_efficientnet_b4 resnetv2_152x4_bitm 72.290 73.120 27.710 26.880 90.590 91.790 9.410 8.210 19.34 936.53 380 480 0.922 1.000 bicubic bilinear -10.732 -11.970 -5.710 -5.650 -4 -18
34 tf_efficientnet_b2_ns resnetv2_152x2_bitm 72.280 72.820 27.720 27.180 91.090 92.040 8.910 7.960 9.11 236.34 260 480 0.890 1.000 bicubic bilinear -10.100 -11.966 -5.158 -5.098 0 -15
35 nasnetalarge resnet200d 72.230 72.780 27.770 27.220 90.470 90.930 9.530 9.070 88.75 64.69 331 256 0.911 0.940 bicubic -10.390 -10.462 -5.576 -5.558 -2 +1
36 swsl_resnet50 tf_efficientnet_b4_ap 71.700 72.740 28.300 27.260 90.500 90.990 9.500 9.010 25.56 19.34 224 380 0.875 0.922 bilinear bicubic -9.466 -10.516 -5.472 -5.404 +21 -1
37 tresnet_xl resnetv2_101x3_bitm 71.660 72.490 28.340 27.510 89.630 91.830 10.370 8.170 78.44 387.93 224 480 0.875 1.000 bilinear -10.394 -12.036 -6.306 -5.156 +3 -17
38 tresnet_l_448 swsl_resnext50_32x4d 71.600 72.440 28.400 27.560 90.050 90.880 9.950 9.120 55.99 25.03 448 224 0.875 bilinear -10.668 -9.732 -5.926 -5.352 -3 +14
39 ssl_resnext101_32x8d resnet101d_320 71.500 72.370 28.500 27.630 90.460 90.580 9.540 9.420 88.79 44.57 224 320 0.875 1.000 bilinear bicubic -10.116 -10.654 -5.578 -5.876 +9 +3
40 ecaresnet101d nasnetalarge 71.490 72.340 28.510 27.660 90.330 90.520 9.670 9.480 44.57 88.75 224 331 0.875 0.911 bicubic -10.682 -10.286 -5.716 -5.530 -2 +5
41 efficientnet_b3a resnest101e 71.480 72.320 28.520 27.680 90.060 90.780 9.940 9.220 12.23 48.28 320 256 1.000 0.875 bicubic bilinear -10.762 -10.558 -6.054 -5.534 -5 +2
42 efficientnet_b3 tf_efficientnet_b2_ns 71.460 72.320 28.540 27.680 90.090 90.990 9.910 9.010 12.23 9.11 300 260 0.904 0.890 bicubic -10.616 -10.072 -5.930 -5.248 -3 +4
43 ssl_resnext101_32x16d resnet152d 71.410 72.310 28.590 27.690 90.560 90.710 9.440 9.290 194.03 60.21 224 256 0.875 0.940 bilinear bicubic -10.434 -10.824 -5.536 -5.640 -1 -5
44 vit_base_patch32_384 tresnet_xl_448 71.180 72.170 28.820 27.830 90.630 90.130 9.370 9.870 88.30 78.44 384 448 1.000 0.875 bicubic bilinear -10.472 -10.886 -5.498 -6.056 +1 -4
45 regnety_032 tf_efficientnet_b4 71.080 72.150 28.920 27.850 90.270 90.480 9.730 9.520 19.44 19.34 224 380 0.875 0.922 bicubic -10.922 -10.876 -5.636 -5.818 -4
46 tresnet_m_448 vit_large_patch16_224 70.990 71.820 29.010 28.180 88.680 90.820 11.320 9.180 31.39 304.33 448 224 0.875 0.900 bilinear bicubic -10.724 -11.240 -6.892 -5.624 -2 -7
47 resnest50d_4s2x40d swsl_resnet50 70.950 71.650 29.050 28.350 89.710 90.520 10.290 9.480 30.42 25.56 224 0.875 bicubic bilinear -10.158 -9.486 -5.848 -5.454 +11 +24
48 wide_resnet50_2 efficientnet_b3 70.950 71.540 29.050 28.460 89.230 90.070 10.770 9.930 68.88 12.23 224 300 0.875 0.904 bicubic -10.506 -10.542 -6.302 -5.956 +4 +5
49 tf_efficientnet_b3_ap tresnet_l_448 70.920 71.500 29.080 28.500 89.430 89.950 10.570 10.050 12.23 55.99 300 448 0.904 0.875 bicubic bilinear -10.902 -10.760 -6.194 -6.028 -6 -1
50 tf_efficientnet_b1_ns resnetv2_50x3_bitm 70.870 71.480 29.130 28.520 90.120 91.360 9.880 8.640 7.79 217.32 240 480 0.882 1.000 bicubic bilinear -10.518 -12.328 -5.618 -5.386 +3 -19
51 vit_large_patch32_384 tresnet_xl 70.860 71.480 29.140 28.520 90.570 89.460 9.430 10.540 306.63 78.44 384 224 1.000 0.875 bicubic bilinear -10.646 -10.574 -5.522 -6.472 -1 +3
52 rexnet_200 ssl_resnext101_32x8d 70.840 71.470 29.160 28.530 89.700 90.330 10.300 9.670 16.37 88.79 224 0.875 bicubic bilinear -10.792 -10.136 -5.968 -5.714 -5 +11
53 tresnet_l efficientnet_b3a 70.840 71.460 29.160 28.540 89.630 90.020 10.370 9.980 55.99 12.23 224 320 0.875 1.000 bilinear bicubic -10.650 -10.794 -5.994 -6.094 -2 -4
54 tf_efficientnet_b3 resnet101d 70.640 71.400 29.360 28.600 89.440 90.150 10.560 9.850 12.23 44.57 300 256 0.904 0.940 bicubic -10.996 -10.910 -6.278 -5.914 -8 -7
55 gluon_senet154 ecaresnet101d 70.600 71.240 29.400 28.760 88.920 90.240 11.080 9.760 115.09 44.57 224 0.875 bicubic -10.634 -10.936 -6.428 -5.816 +1 -4
56 ssl_resnext101_32x4d ssl_resnext101_32x16d 70.530 71.170 29.470 28.830 89.760 90.460 10.240 9.540 44.18 194.03 224 0.875 bilinear -10.394 -10.668 -5.968 -5.632 +6 0
57 legacy_senet154 vit_base_patch32_384 70.500 71.120 29.500 28.880 89.010 90.520 10.990 9.480 115.09 88.30 224 384 0.875 1.000 bilinear bicubic -10.810 -10.536 -6.486 -5.610 -3 +3
58 gluon_seresnext101_64x4d regnety_032 70.430 71.070 29.570 28.930 89.350 90.250 10.650 9.750 88.23 19.44 224 0.875 bicubic -10.464 -10.938 -5.958 -5.662 +6 -3
59 tf_efficientnet_lite4 vit_base_patch16_224 70.430 71.030 29.570 28.970 89.110 90.420 10.890 9.580 13.01 86.57 380 224 0.920 0.900 bilinear bicubic -11.106 -10.754 -6.558 -5.706 -10 -1
60 resnest50d tf_efficientnet_b3_ap 70.410 71.010 29.590 28.990 88.760 89.220 11.240 10.780 27.48 12.23 224 300 0.875 0.904 bilinear bicubic -10.564 -10.812 -6.618 -6.400 +1 -3
61 resnest50d_1s4x24d rexnet_200 70.400 70.840 29.600 29.160 89.220 89.800 10.780 10.200 25.68 16.37 224 0.875 bicubic -10.588 -10.786 -6.102 -5.872 -1 +1
62 seresnext50_32x4d resnest50d_4s2x40d 70.400 70.800 29.600 29.200 89.110 89.520 10.890 10.480 27.56 30.42 224 0.875 bicubic -10.866 -10.314 -6.510 -6.034 -7 +10
63 gluon_resnet152_v1s tresnet_m_448 70.290 70.780 29.710 29.220 88.850 88.690 11.150 11.310 60.32 31.39 224 448 0.875 bicubic bilinear -10.726 -10.938 -6.562 -6.876 -4
64 ecaresnet101d_pruned wide_resnet50_2 70.130 70.690 29.870 29.310 89.590 89.110 10.410 10.890 24.88 68.88 224 0.875 bicubic -10.688 -10.762 -6.038 -6.412 +2
65 inception_resnet_v2 tresnet_l 70.120 70.670 29.880 29.330 88.700 89.640 11.300 10.360 55.84 55.99 299 224 0.897 0.875 bicubic bilinear -10.338 -10.816 -6.606 -5.980 +11 0
66 gluon_seresnext101_32x4d tf_efficientnet_b1_ns 70.010 70.630 29.990 29.370 88.900 89.930 11.100 10.070 48.96 7.79 224 240 0.875 0.882 bicubic -10.894 -10.756 -6.394 -5.810 -3 +1
67 regnety_320 legacy_senet154 70.000 70.490 30.000 29.510 88.890 88.960 11.110 11.040 145.05 115.09 224 0.875 bicubic bilinear -10.812 -10.836 -6.354 -6.548 0 +1
68 gluon_resnet152_v1d gluon_seresnext101_64x4d 69.960 70.460 30.040 29.540 88.490 89.180 11.510 10.820 60.21 88.23 224 0.875 bicubic -10.514 -10.424 -6.716 -6.134 +6 +9
69 ecaresnet50d seresnext50_32x4d 69.840 70.450 30.160 29.550 89.400 89.130 10.600 10.870 25.58 27.56 224 0.875 bicubic -10.752 -10.824 -5.920 -6.488 +2 0
70 ssl_resnext50_32x4d tf_efficientnet_b3 69.710 70.400 30.290 29.600 89.440 89.270 10.560 10.730 25.03 12.23 224 300 0.875 0.904 bilinear bicubic -10.608 -11.246 -5.966 -6.452 +12 -9
71 gluon_resnext101_64x4d ssl_resnext101_32x4d 69.680 70.370 30.320 29.630 88.270 89.810 11.730 10.190 83.46 44.18 224 0.875 bicubic bilinear -10.924 -10.544 -6.718 -5.924 -1 +5
72 tresnet_m gluon_senet154 69.660 70.350 30.340 29.650 87.990 88.970 12.010 11.030 31.39 115.09 224 0.875 bilinear bicubic -11.142 -10.878 -6.870 -6.382 -4 -2
73 efficientnet_b3_pruned resnest50d_1s4x24d 69.580 70.350 30.420 29.650 88.980 89.140 11.020 10.860 9.86 25.68 300 224 0.904 0.875 bicubic -11.278 -10.654 -6.262 -6.186 -8 +1
74 ens_adv_inception_resnet_v2 resnetv2_101x1_bitm 69.520 70.320 30.480 29.680 88.510 90.640 11.490 9.360 55.84 44.54 299 480 0.897 1.000 bicubic bilinear -10.462 -11.894 -6.426 -5.832 +23 -24
75 efficientnet_b2a resnest50d 69.500 70.250 30.500 29.750 88.680 88.620 11.320 11.380 9.11 27.48 288 224 1.000 0.875 bicubic bilinear -11.112 -10.708 -6.638 -6.758 -6 0
76 rexnet_150 tf_efficientnet_lite4 69.470 70.200 30.530 29.800 88.980 89.030 11.020 10.970 9.73 13.01 224 380 0.875 0.920 bicubic bilinear -10.840 -11.336 -6.186 -6.630 +7 -12
77 regnetx_320 gluon_resnet152_v1s 69.440 70.120 30.560 29.880 88.270 88.890 11.730 11.110 107.81 60.32 224 0.875 bicubic -10.806 -10.898 -6.756 -6.530 +11 -4
78 inception_v4 gluon_seresnext101_32x4d 69.360 69.910 30.640 30.090 88.780 88.850 11.220 11.150 42.68 48.96 299 224 0.875 bicubic -10.808 -10.962 -6.188 -6.442 +12 0
79 legacy_seresnext101_32x4d regnety_320 69.360 69.870 30.640 30.130 88.070 88.760 11.930 11.240 48.96 145.05 224 0.875 bilinear bicubic -10.868 -10.928 -6.948 -6.486 +10 +3
80 ecaresnetlight gluon_resnet152_v1d 69.340 69.810 30.660 30.190 89.220 88.500 10.780 11.500 30.16 60.21 224 0.875 bicubic -11.122 -10.668 -6.028 -6.700 -5 +7
81 resnet50d ecaresnet101d_pruned 69.330 69.700 30.670 30.300 88.220 89.330 11.780 10.670 25.58 24.88 224 0.875 bicubic -11.200 -11.116 -6.940 -6.308 -9 -1
82 xception71 tresnet_m 69.320 69.670 30.680 30.330 88.260 87.960 11.740 12.040 42.34 31.39 299 224 0.903 0.875 bicubic bilinear -10.554 -11.134 -6.662 -6.898 +20 -1
83 gluon_xception65 ssl_resnext50_32x4d 69.160 69.600 30.840 30.400 88.090 89.320 11.910 10.680 39.92 25.03 299 224 0.903 0.875 bicubic bilinear -10.556 -10.702 -6.770 -6.092 +26 +13
84 gluon_resnet152_v1c ecaresnet50d 69.140 69.570 30.860 30.430 87.870 89.290 12.130 10.710 60.21 25.58 224 0.875 bicubic -10.770 -11.044 -6.970 -6.018 +16 0
85 mixnet_xl efficientnet_b3_pruned 69.100 69.530 30.900 30.470 88.310 88.770 11.690 11.230 11.90 9.86 224 300 0.875 0.904 bicubic -11.376 -11.328 -6.626 -6.470 -12 -6
86 gluon_resnet101_v1d gluon_resnext101_64x4d 69.010 69.490 30.990 30.510 88.100 88.260 11.900 11.740 44.57 83.46 224 0.875 bicubic -11.404 -11.140 -6.914 -6.738 -8 -3
87 seresnet50 regnetx_320 68.980 69.440 31.020 30.560 88.710 88.140 11.290 11.860 28.09 107.81 224 0.875 bicubic -11.294 -10.814 -6.360 -6.890 0 +14
88 xception65 rexnet_150 68.980 69.410 31.020 30.590 88.480 88.970 11.520 11.030 39.92 9.73 299 224 0.903 0.875 bicubic -10.572 -10.900 -6.174 -6.192 +27 +7
89 efficientnet_b2 efficientnet_b2a 68.970 69.400 31.030 30.600 88.630 88.650 11.370 11.350 9.11 260 288 0.875 1.000 bicubic -11.422 -11.214 -6.446 -6.668 -10 -4
90 regnety_160 ecaresnetlight 68.970 69.330 31.030 30.670 88.270 89.210 11.730 10.790 83.59 30.16 224 0.875 bicubic -11.326 -11.128 -6.692 -6.040 -4 -1
91 gluon_resnext101_32x4d xception71 68.960 69.270 31.040 30.730 88.360 88.170 11.640 11.830 44.18 42.34 224 299 0.875 0.903 bicubic -11.374 -10.614 -6.566 -6.762 -10 +22
92 tf_efficientnet_b2_ap resnet50d 68.920 69.170 31.080 30.830 88.350 88.140 11.650 11.860 9.11 25.58 260 224 0.890 0.875 bicubic -11.380 -11.378 -6.678 -7.018 -7 -6
93 cspdarknet53 mixnet_xl 68.890 69.060 31.110 30.940 88.600 88.360 11.400 11.640 27.64 11.90 256 224 0.887 0.875 bilinear bicubic -11.168 -11.414 -6.484 -6.574 +1 -5
94 regnety_120 legacy_seresnext101_32x4d 68.850 69.040 31.150 30.960 88.330 88.070 11.670 11.930 51.82 48.96 224 0.875 bicubic bilinear -11.516 -11.188 -6.796 -6.950 -14 +8
95 gluon_resnet152_v1b regnety_120 68.820 68.990 31.180 31.010 87.710 88.180 12.290 11.820 60.19 51.82 224 0.875 bicubic -10.866 -11.388 -7.026 -6.942 +15 -2
96 dpn131 gluon_resnet152_v1c 68.770 68.960 31.230 31.040 87.470 87.650 12.530 12.350 79.25 60.21 224 0.875 bicubic -11.052 -10.954 -7.240 -7.198 +8 +15
97 cspresnext50 efficientnet_b2 68.760 68.930 31.240 31.070 87.950 88.470 12.050 11.530 20.57 9.11 224 260 0.875 bilinear bicubic -11.280 -11.448 -6.994 -6.608 -2 -5
98 tf_efficientnet_b2 gluon_resnext101_32x4d 68.750 68.880 31.250 31.120 87.990 88.310 12.010 11.690 9.11 44.18 260 224 0.890 0.875 bicubic -11.336 -11.454 -6.918 -6.598 -5 -4
99 resnext50d_32x4d hrnet_w64 68.740 68.840 31.260 31.160 88.300 88.160 11.700 11.840 25.05 128.06 224 0.875 bicubic bilinear -10.936 -10.622 -6.566 -6.494 +12 +31
100 gluon_resnet101_v1s gluon_resnet152_v1b 68.710 68.800 31.290 31.200 87.910 87.560 12.090 12.440 44.67 60.19 224 0.875 bicubic -11.592 -10.892 -7.250 -7.174 -16 +22
101 regnety_080 tf_efficientnet_b2_ap 68.700 68.790 31.300 31.210 87.970 88.330 12.030 11.670 39.18 9.11 224 260 0.875 0.890 bicubic -11.176 -11.512 -6.860 -6.702 0 -4
102 dpn107 gluon_resnet101_v1d 68.690 68.780 31.310 31.220 88.130 88.080 11.870 11.920 86.92 44.57 224 0.875 bicubic -11.466 -11.622 -6.780 -6.940 -11
103 gluon_seresnext50_32x4d gluon_xception65 68.670 68.770 31.330 31.230 88.310 87.950 11.690 12.050 27.56 39.92 224 299 0.875 0.903 bicubic -11.248 -10.932 -6.512 -6.918 -5 +18
104 hrnet_w64 seresnet50 68.640 68.760 31.360 31.240 88.050 88.530 11.950 11.470 128.06 28.09 224 0.875 bilinear bicubic -10.834 -11.498 -6.602 -6.536 +14 -5
105 resnext50_32x4d xception65 68.640 68.760 31.360 31.240 87.570 88.250 12.430 11.750 25.03 39.92 224 299 0.875 0.903 bicubic -11.128 -10.790 -7.028 -6.408 +1 +21
106 dpn98 cspdarknet53 68.590 68.760 31.410 31.240 87.680 88.530 12.320 11.470 61.57 27.64 224 256 0.875 0.887 bicubic bilinear -11.052 -11.288 -6.918 -6.562 +6 +3
107 regnetx_160 cspresnext50 68.530 68.720 31.470 31.280 88.450 88.030 11.550 11.970 54.28 20.57 224 0.875 bicubic bilinear -11.326 -6.380 -6.914 -4 +1
108 cspresnet50 regnety_160 68.460 68.720 31.540 31.280 88.010 88.200 11.990 11.800 21.62 83.59 256 224 0.887 0.875 bilinear bicubic -11.114 -11.556 -6.702 -6.768 +6 -9
109 rexnet_130 resnext50d_32x4d 68.450 68.670 31.550 31.330 88.040 88.230 11.960 11.770 7.56 25.05 224 0.875 bicubic -11.050 -10.998 -6.642 -6.636 +8 +14
110 ecaresnet50d_pruned dpn131 68.420 68.640 31.580 31.360 88.370 87.220 11.630 12.780 19.94 79.25 224 0.875 bicubic -11.296 -11.186 -6.510 -7.492 -2 +6
111 regnety_064 gluon_resnet101_v1s 68.420 68.640 31.580 31.360 88.080 87.720 11.920 12.280 30.58 44.67 224 0.875 bicubic -11.302 -11.646 -6.688 -7.440 -4 -13
112 ssl_resnet50 gluon_seresnext50_32x4d 68.410 68.570 31.590 31.430 88.560 88.140 11.440 11.860 25.56 27.56 224 0.875 bilinear bicubic -10.812 -11.354 -6.272 -6.682 +18 -2
113 skresnext50_32x4d regnetx_160 68.350 68.520 31.650 31.480 87.570 88.280 12.430 11.720 27.48 54.28 224 0.875 bicubic -11.806 -11.318 -7.072 -6.544 -21 +2
114 dla102x2 regnety_080 68.330 68.500 31.670 31.500 87.890 88.000 12.110 12.000 41.28 39.18 224 0.875 bilinear bicubic -11.118 -11.370 -6.750 -6.830 +5 0
115 efficientnet_b2_pruned tf_efficientnet_b2 68.320 68.460 31.680 31.540 88.100 88.020 11.900 11.980 8.31 9.11 260 0.890 bicubic -11.596 -11.612 -6.756 -6.884 -16 -9
116 gluon_resnext50_32x4d skresnext50_32x4d 68.310 68.440 31.690 31.560 87.300 87.610 12.700 12.390 25.03 27.48 224 0.875 bicubic -11.044 -11.706 -7.126 -7.030 +4 -11
117 tf_efficientnet_lite3 dpn107 68.230 68.390 31.770 31.610 87.740 88.070 12.260 11.930 8.20 86.92 300 224 0.904 0.875 bilinear bicubic -11.590 -11.766 -7.174 -6.840 -12 -13
118 ese_vovnet39b cspresnet50 68.210 68.380 31.790 31.620 88.250 87.950 11.750 12.050 24.57 21.62 224 256 0.875 0.887 bicubic bilinear -11.110 -11.194 -6.462 -6.758 +4 +8
119 tf_efficientnet_el dla102x2 68.180 68.380 31.820 31.620 88.350 87.800 11.650 12.200 10.59 41.28 300 224 0.904 0.875 bicubic bilinear -12.260 -11.062 -6.814 -6.846 -42 +12
120 regnetx_120 resnext50_32x4d 68.150 68.360 31.850 31.640 87.660 87.570 12.340 12.430 46.11 25.03 224 0.875 bicubic -11.446 -11.430 -7.078 -7.036 -7 -2
121 dpn92 ssl_resnet50 67.990 68.360 32.010 31.640 87.580 88.580 12.420 11.420 37.67 25.56 224 0.875 bicubic bilinear -12.018 -10.876 -7.256 -6.250 -25 +20
122 gluon_resnet50_v1d regnety_064 67.940 68.350 32.060 31.650 87.130 88.030 12.870 11.970 25.58 30.58 224 0.875 bicubic -11.134 -11.382 -7.340 -6.734 +15 -3
123 regnetx_080 dpn98 67.880 68.300 32.120 31.700 86.990 87.560 13.010 12.440 39.57 61.57 224 0.875 bicubic -11.314 -11.350 -7.570 -7.046 +12 +1
124 resnext101_32x8d regnetx_120 67.860 68.240 32.140 31.760 87.490 87.570 12.510 12.430 88.79 46.11 224 0.875 bilinear bicubic -11.448 -11.370 -7.028 -7.162 -1 +1
125 efficientnet_em efficientnet_b2_pruned 67.840 68.220 32.160 31.780 88.120 88.070 11.880 11.930 6.90 8.31 240 260 0.882 0.890 bicubic -11.412 -11.686 -6.674 -6.786 +4 -13
126 legacy_seresnext50_32x4d ese_vovnet39b 67.840 68.220 32.160 31.780 87.620 88.290 12.380 11.710 27.56 24.57 224 0.875 bilinear bicubic -11.238 -11.092 -6.816 -6.432 +10 +9
127 hrnet_w48 rexnet_130 67.770 68.220 32.230 31.780 87.420 88.010 12.580 11.990 77.47 7.56 224 0.875 bilinear bicubic -11.530 -11.274 -7.092 -6.664 -1 +2
128 hrnet_w44 tf_efficientnet_el 67.740 68.170 32.260 31.830 87.560 88.230 12.440 11.770 67.06 10.59 224 300 0.875 0.904 bilinear bicubic -11.156 -12.278 -6.808 -6.940 +15 -38
129 tf_efficientnet_b0_ns ecaresnet50d_pruned 67.710 68.160 32.290 31.840 88.070 88.340 11.930 11.660 5.29 19.94 224 0.875 bicubic -10.948 -11.552 -6.306 -6.536 +24 -9
130 vit_base_patch16_224 gluon_resnext50_32x4d 67.700 68.160 32.300 31.840 87.660 87.370 12.340 12.630 86.54 25.03 224 0.900 0.875 bicubic -11.648 -11.194 -6.852 -7.054 -9 +2
131 regnetx_064 regnetx_080 67.680 67.930 32.320 32.070 87.520 87.080 12.480 12.920 26.21 39.57 224 0.875 bicubic -11.392 -11.282 -6.938 -7.474 +7 +13
132 xception tf_efficientnet_lite3 67.650 67.920 32.350 32.080 87.570 87.710 12.430 12.290 22.86 8.20 299 300 0.897 0.904 bicubic bilinear -11.402 -11.906 -6.822 -7.198 +7 -15
133 dpn68b legacy_seresnext50_32x4d 67.630 67.890 32.370 32.110 87.660 87.590 12.340 12.410 12.61 27.56 224 0.875 bicubic bilinear -11.586 -11.194 -6.754 -6.844 -1 +14
134 dla169 gluon_resnet50_v1d 67.610 67.880 32.390 32.120 87.590 86.940 12.410 13.060 53.39 25.58 224 0.875 bilinear bicubic -11.078 -11.184 -6.746 -7.530 +17 +15
135 gluon_inception_v3 hrnet_w48 67.590 67.800 32.410 32.200 87.470 87.370 12.530 12.630 23.83 77.47 299 224 0.875 bicubic bilinear -11.216 -11.516 -6.900 -7.144 +11 -1
136 gluon_resnet101_v1c resnext101_32x8d 67.580 67.750 32.420 32.250 87.180 87.360 12.820 12.640 44.57 88.79 224 0.875 bicubic bilinear -11.954 -11.554 -7.398 -7.166 -20 +1
137 regnety_040 tf_efficientnet_b0_ns 67.580 67.720 32.420 32.280 87.510 87.940 12.490 12.060 20.65 5.29 224 0.875 bicubic -11.640 -10.940 -7.146 -6.432 -6 +27
138 res2net50_26w_8s hrnet_w44 67.570 67.700 32.430 32.300 87.280 87.510 12.720 12.490 48.40 67.06 224 0.875 bilinear -11.628 -11.190 -7.152 -6.864 -4 +16
139 hrnet_w40 dla169 67.560 67.670 32.440 32.330 87.140 87.470 12.860 12.530 57.56 53.39 224 0.875 bilinear -11.360 -11.024 -7.330 -6.860 +3 +23
140 legacy_seresnet152 regnetx_064 67.520 67.660 32.480 32.340 87.390 87.470 12.610 12.530 66.82 26.21 224 0.875 bilinear bicubic -11.140 -11.404 -6.980 -6.990 +12 +8
141 tf_efficientnet_b1_ap regnety_040 67.520 67.620 32.480 32.380 87.760 87.390 12.240 12.610 7.79 20.65 240 224 0.882 0.875 bicubic -11.760 -11.612 -6.546 -7.254 -13 +1
142 gluon_resnet101_v1b dpn92 67.460 67.580 32.540 32.420 87.240 87.290 12.760 12.710 44.55 37.67 224 0.875 bicubic -11.846 -12.410 -7.284 -7.554 -17 -33
143 tf_efficientnet_cc_b1_8e efficientnet_em 67.450 67.560 32.550 32.440 87.310 88.120 12.690 11.880 39.72 6.90 240 0.882 bicubic -11.858 -11.704 -7.060 -6.670 -19 -3
144 res2net101_26w_4s xception 67.440 67.550 32.560 32.450 87.010 87.510 12.990 12.490 45.21 22.86 224 299 0.875 0.897 bilinear bicubic -11.758 -11.496 -7.358 -6.886 -11 +6
145 resnet50 gluon_inception_v3 67.440 67.540 32.560 32.460 87.420 87.250 12.580 12.750 25.56 23.83 224 299 0.875 bicubic -11.598 -11.260 -6.970 -7.130 -5 +12
146 resnetblur50 dpn68b 67.430 67.530 32.570 32.470 87.440 87.500 12.560 12.500 25.56 12.61 224 0.875 bicubic -11.856 -11.682 -7.198 -6.922 -19 -3
147 regnetx_032 legacy_seresnet152 67.290 67.510 32.710 32.490 87.000 87.470 13.000 12.530 15.30 66.82 224 0.875 bicubic bilinear -10.882 -11.156 -7.088 -6.906 +22 +16
148 xception41 hrnet_w40 67.250 67.480 32.750 32.520 87.200 87.140 12.800 12.860 26.97 57.56 299 224 0.903 0.875 bicubic bilinear -11.266 -11.452 -7.078 -7.338 +7 +5
149 resnest26d resnetblur50 67.200 67.460 32.800 32.540 87.170 87.570 12.830 12.430 17.07 25.56 224 0.875 bilinear bicubic -11.278 -11.826 -7.128 -7.070 +9 -11
150 efficientnet_b1 resnet50 67.170 67.450 32.830 32.550 87.150 87.430 12.850 12.570 7.79 25.56 240 224 0.875 bicubic -11.528 -11.586 -6.994 -6.962 0 +1
151 legacy_seresnet101 resnetv2_50x1_bitm 67.160 67.440 32.840 32.560 87.060 89.100 12.940 10.900 49.33 25.55 224 480 0.875 1.000 bilinear -11.222 -12.752 -7.204 -6.530 +12 -48
152 dla60x res2net50_26w_8s 67.100 67.430 32.900 32.570 87.190 87.140 12.810 12.860 17.35 48.40 224 0.875 bilinear -11.146 -11.762 -6.828 -7.228 +13 -6
153 gluon_resnet50_v1s tf_efficientnet_b1_ap 67.060 67.430 32.940 32.570 86.860 87.540 13.140 12.460 25.68 7.79 224 240 0.875 0.882 bicubic -11.650 -11.846 -7.378 -6.762 -5 -14
154 tv_resnet152 tf_efficientnet_cc_b1_8e 67.050 67.380 32.950 32.620 87.550 87.280 12.450 12.720 60.19 39.72 224 240 0.875 0.882 bilinear bicubic -11.262 -11.946 -6.488 -7.092 +10 -21
155 dla60_res2net gluon_resnet101_v1b 67.020 67.360 32.980 32.640 87.160 87.050 12.840 12.950 20.85 44.55 224 0.875 bilinear bicubic -11.444 -11.944 -7.046 -7.480 +4 -19
156 dla102x res2net101_26w_4s 67.010 67.350 32.990 32.650 86.770 87.170 13.230 12.830 26.31 45.21 224 0.875 bilinear -11.500 -11.844 -7.458 -7.264 0 -11
157 mixnet_l xception41 66.940 67.300 33.060 32.700 86.910 87.150 13.090 12.850 7.33 26.97 224 299 0.875 0.903 bicubic -12.036 -11.236 -7.272 -7.134 -16 +8
158 res2net50_26w_6s gluon_resnet101_v1c 66.910 67.300 33.090 32.700 86.860 87.060 13.140 12.940 37.05 44.57 224 0.875 bilinear bicubic -11.660 -12.232 -7.264 -7.528 -4 -29
159 efficientnet_es efficientnet_b1 66.880 67.250 33.120 32.750 86.730 86.970 13.270 13.030 5.44 7.79 224 240 0.875 bicubic -11.186 -11.456 -7.196 -7.184 +12 +1
160 tf_efficientnet_b1 regnetx_032 66.880 67.140 33.120 32.860 87.010 86.980 12.990 13.020 7.79 15.30 240 224 0.882 0.875 bicubic -11.946 -11.008 -7.188 -7.108 -15 +20
161 tf_efficientnet_em legacy_seresnet101 66.880 67.120 33.120 32.880 86.970 87.040 13.030 12.960 6.90 49.33 240 224 0.882 0.875 bicubic bilinear -11.828 -11.260 -7.344 -7.222 -12 +13
162 regnetx_040 dla60_res2net 66.840 67.110 33.160 32.890 86.730 87.060 13.270 12.940 22.12 20.85 224 0.875 bicubic bilinear -11.642 -11.350 -7.514 -7.146 -5 +8
163 hrnet_w30 resnest26d 66.780 67.110 33.220 32.890 86.800 87.130 13.200 12.870 37.71 17.07 224 0.875 bilinear -11.426 -11.370 -7.422 -7.170 +5 +6
164 tf_mixnet_l dla60x 66.780 67.080 33.220 32.920 86.470 87.190 13.530 12.810 7.33 17.35 224 0.875 bicubic bilinear -11.994 -11.170 -7.528 -6.834 -17 +12
165 selecsls60b dla102x 66.760 67.010 33.240 32.990 86.530 86.730 13.470 13.270 32.77 26.31 224 0.875 bicubic bilinear -11.652 -11.500 -7.644 -7.500 -3 +2
166 hrnet_w32 res2net50_26w_6s 66.750 66.950 33.250 33.050 87.300 86.810 12.700 13.190 41.23 37.05 224 0.875 bilinear -11.700 -11.616 -6.886 -7.310 -6 -1
167 wide_resnet101_2 gluon_resnet50_v1s 66.730 66.940 33.270 33.060 87.030 86.790 12.970 13.210 126.89 25.68 224 0.875 bilinear bicubic -12.126 -11.760 -7.252 -7.456 -23 -6
168 adv_inception_v3 mixnet_l 66.650 66.940 33.350 33.060 86.530 86.790 13.470 13.210 23.83 7.33 299 224 0.875 bicubic -10.932 -12.040 -7.206 -7.392 +19 -16
169 dla60_res2next tv_resnet152 66.640 66.920 33.360 33.080 87.030 87.450 12.970 12.550 17.03 60.19 224 0.875 bilinear -11.800 -11.400 -7.122 -6.602 -8 +6
170 gluon_resnet50_v1c tf_efficientnet_b1 66.560 66.810 33.440 33.190 86.180 86.920 13.820 13.080 25.58 7.79 224 240 0.875 0.882 bicubic -11.452 -12.034 -7.808 -7.276 +3 -14
171 dla102 dla60_res2next 66.540 66.710 33.460 33.290 86.910 86.940 13.090 13.060 33.27 17.03 224 0.875 bilinear -11.492 -11.734 -7.036 -7.218 +1
172 tf_inception_v3 gluon_resnet50_v1c 66.410 66.710 33.590 33.290 86.660 86.080 13.340 13.920 23.83 25.58 299 224 0.875 bicubic -11.452 -11.298 -6.980 -7.908 +8 +12
173 efficientnet_b0 efficientnet_es 66.290 66.700 33.710 33.300 85.960 86.670 14.040 13.330 5.29 5.44 224 0.875 bicubic -11.408 -11.388 -7.572 -7.262 +10 +9
174 legacy_seresnet50 hrnet_w30 66.250 66.700 33.750 33.300 86.330 86.730 13.670 13.270 28.09 37.71 224 0.875 bilinear -11.380 -11.506 -7.418 -7.494 +10 +5
175 selecsls60 regnetx_040 66.210 66.650 33.790 33.350 86.340 86.530 13.660 13.470 30.67 22.12 224 0.875 bicubic -11.772 -11.834 -7.488 -7.722 +1 -7
176 tv_resnext50_32x4d hrnet_w32 66.180 66.640 33.820 33.360 86.040 87.180 13.960 12.820 25.03 41.23 224 0.875 bilinear -11.440 -11.806 -7.656 -7.010 +9 -5
177 tf_efficientnet_cc_b0_8e selecsls60b 66.170 66.640 33.830 33.360 86.240 86.590 13.760 13.410 24.01 32.77 224 0.875 bicubic -11.738 -11.770 -7.414 -7.588 +1 -4
178 inception_v3 tf_mixnet_l 66.150 66.620 33.850 33.380 86.330 86.390 13.670 13.610 23.83 7.33 299 224 0.875 bicubic -11.288 -12.156 -7.146 -7.612 +13 -20
179 res2net50_26w_4s dla102 66.140 66.570 33.860 33.430 86.600 86.930 13.400 13.070 25.70 33.27 224 0.875 bilinear -11.824 -11.460 -7.254 -7.022 -2 +4
180 efficientnet_b1_pruned wide_resnet101_2 66.090 66.550 33.910 33.450 86.570 87.010 13.430 12.990 6.33 126.89 240 224 0.882 0.875 bicubic bilinear -12.146 -12.304 -7.264 -7.272 -13 -25
181 gluon_resnet50_v1b tf_efficientnet_em 66.070 66.540 33.930 33.460 86.260 86.800 13.740 13.200 25.56 6.90 224 240 0.875 0.882 bicubic -11.510 -12.172 -7.456 -7.528 +7 -22
182 rexnet_100 adv_inception_v3 66.070 66.360 33.930 33.640 86.490 86.380 13.510 13.620 4.80 23.83 224 299 0.875 bicubic -11.788 -11.222 -7.380 -7.360 -1 +16
183 regnety_016 selecsls60 66.060 66.340 33.940 33.660 86.380 86.290 13.620 13.710 11.20 30.67 224 0.875 bicubic -11.802 -11.650 -7.340 -7.538 -4 +3
184 res2net50_14w_8s tf_inception_v3 66.020 66.310 33.980 33.690 86.250 86.570 13.750 13.430 25.06 23.83 224 299 0.875 bilinear bicubic -12.130 -11.556 -7.598 -7.076 -14 +7
185 seresnext26tn_32x4d efficientnet_b0 65.880 66.130 34.120 33.870 85.680 86.090 14.320 13.910 16.81 5.29 224 0.875 bicubic -12.106 -11.576 -8.066 -7.432 -10 +9
186 res2next50 tf_efficientnet_cc_b0_8e 65.850 66.110 34.150 33.890 85.840 86.110 14.160 13.890 24.67 24.01 224 0.875 bilinear bicubic -12.396 -11.798 -8.052 -7.542 -20 +3
187 densenet161 legacy_seresnet50 65.840 66.090 34.160 33.910 86.450 86.290 13.550 13.710 28.68 28.09 224 0.875 bicubic bilinear -11.518 -11.546 -7.188 -7.454 +6 +8
188 resnet34d res2net50_14w_8s 65.780 66.020 34.220 33.980 86.720 86.200 13.280 13.800 21.82 25.06 224 0.875 bicubic bilinear -11.336 -12.118 -6.662 -7.656 +12 -7
189 skresnet34 res2net50_26w_4s 65.750 66.010 34.250 33.990 85.960 86.580 14.040 13.420 22.28 25.70 224 0.875 bicubic bilinear -11.162 -11.982 -7.362 -7.272 +17 -4
190 vit_small_patch16_224 inception_v3 65.740 66.000 34.260 34.000 86.120 13.880 48.75 23.83 224 299 0.900 0.875 bicubic -12.118 -11.464 -7.296 -7.356 -8 +12
191 tv_resnet101 tv_resnext50_32x4d 65.690 65.970 34.310 34.030 85.980 86.030 14.020 13.970 44.55 25.03 224 0.875 bilinear -11.684 -11.644 -7.560 -7.654 +1 +5
192 selecsls42b regnety_016 65.610 65.950 34.390 34.050 85.810 86.270 14.190 13.730 32.46 11.20 224 0.875 bicubic -11.564 -11.918 -7.580 -7.456 +7 -3
193 seresnext26t_32x4d efficientnet_b1_pruned 65.600 65.950 34.400 34.050 86.080 86.500 13.920 13.500 16.82 6.33 224 240 0.875 0.882 bicubic -12.398 -12.298 -7.628 -7.336 -19 -15
194 tf_efficientnet_b0_ap gluon_resnet50_v1b 65.490 65.910 34.510 34.090 85.580 86.230 14.420 13.770 5.29 25.56 224 0.875 bicubic -11.596 -11.668 -7.676 -7.488 +8 +5
195 seresnext26d_32x4d tv_resnet101 65.410 65.850 34.590 34.150 85.970 85.980 14.030 14.020 16.81 44.55 224 0.875 bicubic bilinear -12.192 -11.516 -7.638 -7.576 -9 +8
196 tf_efficientnet_lite2 rexnet_100 65.380 65.810 34.620 34.190 85.990 86.510 14.010 13.490 6.09 4.80 260 224 0.890 0.875 bicubic -12.088 -12.052 -7.764 -7.368 -6 -4
197 res2net50_48w_2s seresnext26tn_32x4d 65.350 65.780 34.650 34.220 85.960 85.600 14.040 14.400 25.29 16.81 224 0.875 bilinear bicubic -12.172 -12.206 -7.594 -8.144 -8 -9
198 densenet201 resnet34d 65.290 65.770 34.710 34.230 85.690 86.630 14.310 13.370 20.01 21.82 224 0.875 bicubic -11.996 -11.344 -7.788 -6.752 -3 +13
199 densenetblur121d densenet161 65.280 65.710 34.720 34.290 85.710 86.510 14.290 13.490 8.00 28.68 224 0.875 bicubic -11.308 -11.650 -7.482 -7.124 +13 +5
200 tf_efficientnet_es vit_small_patch16_224 65.220 65.710 34.780 34.290 85.550 86.130 14.450 13.870 5.44 48.75 224 0.875 0.900 bicubic -12.038 -12.144 -8.044 -7.294 -2 -7
201 dla60 skresnet34 65.200 65.690 34.800 34.310 85.760 85.960 14.240 14.040 22.04 22.28 224 0.875 bilinear bicubic -11.832 -11.240 -7.558 -7.362 +2 +16
202 ese_vovnet19b_dw res2next50 65.190 65.610 34.810 34.390 85.470 85.790 14.530 14.210 6.54 24.67 224 0.875 bicubic bilinear -11.608 -12.626 -7.798 -8.116 +6 -24
203 tf_efficientnet_cc_b0_4e selecsls42b 65.150 65.560 34.850 34.440 85.160 85.860 14.840 14.140 13.31 32.46 224 0.875 bicubic -12.156 -11.624 -8.174 -7.528 -9 +7
204 legacy_seresnext26_32x4d seresnext26t_32x4d 65.050 65.440 34.950 34.560 85.660 86.140 14.340 13.860 16.79 16.82 224 0.875 bicubic -12.054 -12.548 -7.656 -7.592 -3 -17
205 mobilenetv2_120d tf_efficientnet_lite2 65.030 65.310 34.970 34.690 85.960 86.010 14.040 13.990 5.83 6.09 224 260 0.875 0.890 bicubic -12.254 -12.172 -7.532 -7.738 -9 -4
206 hrnet_w18 densenet201 64.920 65.300 35.080 34.700 85.740 85.660 14.260 14.340 21.30 20.01 224 0.875 bilinear bicubic -11.838 -11.990 -7.704 -7.820 +3 0
207 densenet169 densenetblur121d 64.760 65.260 35.240 34.740 85.240 85.790 14.760 14.210 14.15 8.00 224 0.875 bicubic -11.146 -11.326 -7.786 -7.406 +11 +16
208 mixnet_m seresnext26d_32x4d 64.700 65.250 35.300 34.750 85.450 85.820 14.550 14.180 5.01 16.81 224 0.875 bicubic -12.560 -12.336 -7.974 -7.788 -11
209 resnet26d res2net50_48w_2s 64.680 65.220 35.320 34.780 85.120 85.910 14.880 14.090 16.01 25.29 224 0.875 bicubic bilinear -12.016 -12.314 -8.030 -7.650 +1 -9
210 regnetx_016 tf_efficientnet_b0_ap 64.380 65.200 35.620 34.800 85.470 85.490 14.530 14.510 9.19 5.29 224 0.875 bicubic -12.570 -11.902 -7.950 -7.774 -6 +3
211 tf_efficientnet_lite1 hrnet_w18 64.380 65.110 35.620 34.890 85.470 85.670 14.530 14.330 5.42 21.30 240 224 0.882 0.875 bicubic bilinear -12.262 -11.654 -7.756 -7.772 0 +9
212 tf_efficientnet_b0 ese_vovnet19b_dw 64.310 65.090 35.690 34.910 85.280 85.420 14.720 14.580 5.29 6.54 224 0.875 bicubic -12.538 -11.728 -7.948 -7.858 -5 +7
213 tf_mixnet_m dla60 64.270 65.070 35.730 34.930 85.090 85.700 14.910 14.300 5.01 22.04 224 0.875 bicubic bilinear -12.672 -11.966 -8.062 -7.624 -8 +1
214 dpn68 tf_efficientnet_es 64.230 65.030 35.770 34.970 85.180 85.410 14.820 14.590 12.61 5.44 224 0.875 bicubic -12.088 -12.254 -7.798 -8.194 0 -7
215 regnety_008 tf_efficientnet_cc_b0_4e 64.160 64.940 35.840 35.060 85.270 85.030 14.730 14.970 6.26 13.31 224 0.875 bicubic -12.156 -12.380 -7.796 -8.292 0 -10
216 mobilenetv2_140 mobilenetv2_120d 64.060 64.930 35.940 35.070 85.040 85.870 14.960 14.130 6.11 5.83 224 0.875 bicubic -12.456 -12.348 -7.956 -7.640 -3 -8
217 densenet121 legacy_seresnext26_32x4d 63.750 64.820 36.250 35.180 84.590 85.540 15.410 14.460 7.98 16.79 224 0.875 bicubic -11.828 -12.286 -8.062 -7.768 +5 -5
218 resnest14d mixnet_m 63.590 64.740 36.410 35.260 84.250 85.510 15.750 14.490 10.61 5.01 224 0.875 bilinear bicubic -11.914 -12.534 -8.268 -7.912 +6 -9
219 tf_mixnet_s resnet26d 63.560 64.590 36.440 35.410 84.270 85.090 15.730 14.910 4.13 16.01 224 0.875 bicubic -12.090 -12.098 -8.360 -8.056 +1 +2
220 resnet26 tf_efficientnet_lite1 63.470 64.490 36.530 35.510 84.260 85.510 15.740 14.490 16.00 5.42 224 240 0.875 0.882 bicubic -11.822 -12.176 -8.310 -7.728 +7 +2
221 mixnet_s tf_mixnet_m 63.390 64.470 36.610 35.530 84.740 84.930 15.260 15.070 4.13 5.01 224 0.875 bicubic -12.602 -12.486 -8.056 -8.234 -4 -6
222 mobilenetv3_large_100 densenet169 63.360 64.420 36.640 35.580 84.090 85.270 15.910 14.730 5.48 14.15 224 0.875 bicubic -12.406 -11.478 -8.452 -7.752 -3 +7
223 tv_resnet50 regnetx_016 63.330 64.270 36.670 35.730 84.640 85.450 15.360 14.550 25.56 9.19 224 0.875 bilinear bicubic -12.808 -12.676 -8.224 -7.976 -7
224 efficientnet_lite0 tf_efficientnet_b0 63.240 64.150 36.760 35.850 84.440 85.170 15.560 14.830 4.65 5.29 224 0.875 bicubic -12.244 -12.698 -8.070 -8.062 +1 -6
225 mobilenetv3_rw dpn68 63.220 64.030 36.780 35.970 84.510 84.990 15.490 15.010 5.48 12.61 224 0.875 bicubic -12.414 -12.282 -8.198 -7.978 -4 +1
226 semnasnet_100 mobilenetv2_140 63.150 63.850 36.850 36.150 84.520 84.950 15.480 15.050 3.89 6.11 224 0.875 bicubic -12.298 -12.662 -8.084 -8.048 0 -2
227 regnety_006 densenet121 63.110 63.730 36.890 36.270 84.250 84.600 15.750 15.400 6.06 7.98 224 0.875 bicubic -12.136 -11.834 -8.282 -8.048 +1 +6
228 tv_densenet121 regnety_008 62.940 63.720 37.060 36.280 84.250 85.240 15.750 14.760 7.98 6.26 224 0.875 bicubic -11.798 -12.600 -7.900 -7.828 +8 -3
229 resnet34 mixnet_s 62.870 63.540 37.130 36.460 84.140 84.710 15.860 15.290 21.80 4.13 224 0.875 bilinear bicubic -12.240 -12.454 -8.144 -8.080 +2 -1
230 legacy_seresnet34 resnest14d 62.850 63.540 37.150 36.460 84.210 84.020 15.790 15.980 21.96 10.61 224 0.875 bilinear -11.958 -11.974 -7.914 -8.498 +5 +4
231 mobilenetv2_110d resnet26 62.830 63.440 37.170 36.560 84.500 84.220 15.500 15.780 4.52 16.00 224 0.875 bicubic -12.206 -11.850 -7.686 -8.346 +2 +7
232 hrnet_w18_small_v2 tf_mixnet_s 62.800 63.430 37.200 36.570 83.980 84.090 16.020 15.910 15.60 4.13 224 0.875 bilinear bicubic -12.314 -12.252 -8.436 -8.548 -2 -1
233 swsl_resnet18 mobilenetv3_large_100 62.760 63.310 37.240 36.690 84.300 84.050 15.700 15.950 11.69 5.48 224 0.875 bilinear bicubic -10.516 -12.464 -7.434 -8.488 +12 -3
234 gluon_resnet34_v1b mobilenetv3_rw 62.570 63.270 37.430 36.730 83.990 84.560 16.010 15.440 21.80 5.48 224 0.875 bicubic -12.018 -12.350 -8.000 -8.152 +5 -2
235 tf_efficientnet_lite0 tv_resnet50 62.550 63.210 37.450 36.790 84.220 84.650 15.780 15.350 4.65 25.56 224 0.875 bicubic bilinear -12.280 -12.948 -7.956 -8.228 -1 -8
236 regnetx_008 efficientnet_lite0 62.490 63.150 37.510 36.850 84.020 84.350 15.980 15.650 7.26 4.65 224 0.875 bicubic -12.548 -12.352 -8.316 -8.164 -4 0
237 dla34 semnasnet_100 62.480 63.060 37.520 36.940 83.910 84.450 16.090 15.550 15.74 3.89 224 0.875 bilinear bicubic -12.150 -12.392 -8.168 -8.160 +1 0
238 tf_mobilenetv3_large_100 resnet34 62.460 62.860 37.540 37.140 83.970 84.150 16.030 15.850 5.48 21.80 224 0.875 bilinear -13.058 -12.246 -8.636 -8.126 -15 +4
239 fbnetc_100 tv_densenet121 62.440 62.790 37.560 37.210 83.380 84.120 16.620 15.880 5.57 7.98 224 0.875 bilinear bicubic -12.684 -11.952 -9.006 -8.034 -10 +8
240 mnasnet_100 legacy_seresnet34 61.900 62.770 38.100 37.230 83.710 84.200 16.290 15.800 4.38 21.96 224 0.875 bicubic bilinear -12.758 -12.020 -8.404 -7.926 -3 +6
241 regnety_004 regnety_006 61.870 62.740 38.130 37.260 83.430 84.110 16.570 15.890 4.34 6.06 224 0.875 bicubic -12.164 -12.528 -8.322 -8.420 0 -2
242 ssl_resnet18 hrnet_w18_small_v2 61.480 62.660 38.520 37.340 83.300 83.840 16.700 16.160 11.69 15.60 224 0.875 bilinear -11.130 -12.448 -8.116 -8.572 +6 -1
243 regnetx_006 swsl_resnet18 61.350 62.650 38.650 37.350 83.450 84.290 16.550 15.710 6.20 11.69 224 0.875 bicubic bilinear -12.502 -10.630 -8.222 -7.468 -1 +13
244 spnasnet_100 mobilenetv2_110d 61.220 62.620 38.780 37.380 82.790 84.450 17.210 15.550 4.42 4.52 224 0.875 bilinear bicubic -12.864 -12.428 -9.028 -7.740 -4 0
245 tv_resnet34 tf_efficientnet_lite0 61.190 62.550 38.810 37.450 82.710 84.160 17.290 15.840 21.80 4.65 224 0.875 bilinear bicubic -12.122 -12.282 -8.716 -8.014 -1 0
246 skresnet18 dla34 60.860 62.500 39.140 37.500 82.880 83.870 17.120 16.130 11.96 15.74 224 0.875 bicubic bilinear -12.178 -12.124 -8.288 -8.192 0 +3
247 tf_mobilenetv3_large_075 regnetx_008 60.400 62.500 39.600 37.500 81.950 83.970 18.050 16.030 3.99 7.26 224 0.875 bilinear bicubic -13.038 -12.552 -9.400 -8.372 -4
248 mobilenetv2_100 gluon_resnet34_v1b 60.190 62.450 39.810 37.550 82.240 83.920 17.760 16.080 3.50 21.80 224 0.875 bicubic -12.780 -12.138 -8.776 -8.076 -1 +2
249 resnet18d fbnetc_100 60.160 62.370 39.840 37.630 82.300 83.370 17.700 16.630 11.71 5.57 224 0.875 bicubic bilinear -12.100 -12.746 -8.396 -9.004 +2 -9
250 legacy_seresnet18 tf_mobilenetv3_large_100 59.800 62.230 40.200 37.770 81.690 83.840 18.310 16.160 11.78 5.48 224 0.875 bicubic bilinear -11.942 -13.280 -8.644 -8.770 +3 -15
251 regnetx_004 regnety_004 59.410 61.960 40.590 38.040 81.690 83.450 18.310 16.550 5.16 4.34 224 0.875 bicubic -12.986 -12.058 -9.140 -8.314 -2 +1
252 tf_mobilenetv3_large_minimal_100 mnasnet_100 59.070 61.900 40.930 38.100 81.150 83.740 18.850 16.260 3.92 4.38 224 0.875 bilinear bicubic -13.178 -12.770 -9.480 -8.362 0 -4
253 hrnet_w18_small ssl_resnet18 58.950 61.520 41.050 38.480 81.340 83.290 18.660 16.710 13.19 11.69 224 0.875 bilinear -13.392 -11.096 -9.338 -8.126 -3 +6
254 gluon_resnet18_v1b tv_resnet34 58.340 61.150 41.660 38.850 80.970 82.640 19.030 17.360 11.69 21.80 224 0.875 bicubic bilinear -12.496 -12.154 -8.792 -8.784 0 +1
255 resnet18 regnetx_006 57.170 61.130 42.830 38.870 80.200 83.240 19.800 16.760 11.69 6.20 224 0.875 bilinear bicubic -12.578 -12.714 -8.878 -8.438 +1 -2
256 regnety_002 spnasnet_100 57.000 61.070 43.000 38.930 79.840 82.770 20.160 17.230 3.16 4.42 224 0.875 bicubic bilinear -13.252 -13.010 -9.700 -9.050 -1 -5
257 regnetx_002 skresnet18 56.050 60.820 43.950 39.180 79.210 82.870 20.790 17.130 2.68 11.96 224 0.875 bicubic -12.712 -12.206 -9.346 -8.302 0
258 dla60x_c tf_mobilenetv3_large_075 56.000 60.370 44.000 39.630 78.930 81.790 21.070 18.210 1.32 3.99 224 0.875 bilinear -11.892 -13.078 -9.496 -9.552 +1 -4
259 tf_mobilenetv3_small_100 mobilenetv2_100 54.530 60.210 45.470 39.790 77.060 82.030 22.940 17.970 2.54 3.50 224 0.875 bilinear bicubic -13.392 -12.740 -10.604 -8.972 -1
260 dla46x_c resnet18d 53.050 59.860 46.950 40.140 76.870 82.310 23.130 17.690 1.07 11.71 224 0.875 bilinear bicubic -12.920 -12.414 -10.110 -8.378 0 +2
261 tf_mobilenetv3_small_075 legacy_seresnet18 52.160 59.710 47.840 40.290 75.470 81.610 24.530 18.390 2.04 11.78 224 0.875 bilinear bicubic -13.556 -12.026 -10.660 -8.732 0 +3
262 dla46_c regnetx_004 52.130 59.250 47.870 40.750 75.690 81.830 24.310 18.170 1.30 5.16 224 0.875 bilinear bicubic -12.736 -13.144 -10.602 -8.988 0 -2
263 tf_mobilenetv3_small_minimal_100 tf_mobilenetv3_large_minimal_100 49.500 59.040 50.500 40.960 73.050 80.890 26.950 19.110 2.04 3.92 224 0.875 bilinear -13.406 -13.204 -11.180 -9.746 0
264 hrnet_w18_small 58.900 41.100 81.310 18.690 13.19 224 0.875 bilinear -13.436 -9.374 -3
265 gluon_resnet18_v1b 58.300 41.700 80.990 19.010 11.69 224 0.875 bicubic -12.538 -8.768 0
266 resnet18 57.250 42.750 80.100 19.900 11.69 224 0.875 bilinear -12.492 -8.986 +1
267 regnety_002 56.980 43.020 79.820 20.180 3.16 224 0.875 bicubic -13.298 -9.726 -1
268 dla60x_c 56.100 43.900 78.950 21.050 1.32 224 0.875 bilinear -11.812 -9.468 +2
269 regnetx_002 55.820 44.180 79.230 20.770 2.68 224 0.875 bicubic -12.934 -9.330 -1
270 tf_mobilenetv3_small_100 54.530 45.470 77.020 22.980 2.54 224 0.875 bilinear -13.392 -10.656 -1
271 dla46x_c 53.130 46.870 76.800 23.200 1.07 224 0.875 bilinear -12.846 -10.188 0
272 tf_mobilenetv3_small_075 52.360 47.640 75.470 24.530 2.04 224 0.875 bilinear -13.364 -10.664 0
273 dla46_c 52.020 47.980 75.730 24.270 1.30 224 0.875 bilinear -12.850 -10.564 0
274 tf_mobilenetv3_small_minimal_100 49.570 50.430 72.830 27.170 2.04 224 0.875 bilinear -13.340 -11.414 0
275 pnasnet5large 1.000 99.000 18.050 81.950 86.06 331 0.911 bicubic +0.016 -0.526 +2
276 inception_resnet_v2 0.990 99.010 16.530 83.470 55.85 299 0.897 bicubic +0.040 -0.764 +2
277 ens_adv_inception_resnet_v2 0.970 99.030 16.450 83.550 55.85 299 0.897 bicubic -0.028 -0.874 -1
278 inception_v4 0.950 99.050 16.030 83.970 42.68 299 0.875 bicubic -0.058 -0.824 -3

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results/results-sketch.csv
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model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation,top1_diff,top5_diff,rank_diff
ig_resnext101_32x48d,58.810,41.190,81.076,18.924,828.41,224,0.875,bilinear,-26.618,-16.496,+5
ig_resnext101_32x32d,58.386,41.614,80.381,19.619,468.53,224,0.875,bilinear,-26.708,-17.057,+10
ig_resnext101_32x16d,57.690,42.310,79.905,20.095,194.03,224,0.875,bilinear,-26.480,-17.291,+16
swsl_resnext101_32x16d,57.458,42.542,80.385,19.615,194.03,224,0.875,bilinear,-25.888,-16.461,+20
swsl_resnext101_32x8d,56.438,43.562,78.944,21.056,88.79,224,0.875,bilinear,-27.845,-18.232,+11
ig_resnext101_32x8d,54.918,45.082,77.534,22.466,88.79,224,0.875,bilinear,-27.770,-19.103,+25
swsl_resnext101_32x4d,53.603,46.397,76.347,23.653,44.18,224,0.875,bilinear,-29.627,-20.413,+19
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,+27
swsl_resnet50,49.541,50.459,72.334,27.666,25.56,224,0.875,bilinear,-31.625,-23.638,+46
tf_efficientnet_b7_ns,47.800,52.200,69.640,30.360,66.35,600,0.949,bicubic,-39.040,-28.454,-8
tf_efficientnet_b6_ns,47.761,52.239,69.968,30.032,43.04,528,0.942,bicubic,-38.691,-27.914,-8
tf_efficientnet_l2_ns,47.570,52.430,70.019,29.981,480.31,800,0.960,bicubic,-40.782,-28.631,-12
tf_efficientnet_b8_ap,45.774,54.226,67.911,32.089,87.41,672,0.954,bicubic,-39.596,-29.383,-6
tf_efficientnet_b5_ns,45.615,54.385,67.842,32.158,30.39,456,0.934,bicubic,-40.473,-29.910,-10
tf_efficientnet_b4_ns,43.450,56.550,65.519,34.481,19.34,380,0.922,bicubic,-41.713,-31.951,-7
vit_large_patch16_384,43.300,56.700,66.454,33.546,304.72,384,1.000,bicubic,-41.858,-30.902,-7
tf_efficientnet_b8,42.508,57.492,64.857,35.143,87.41,672,0.954,bicubic,-42.862,-32.533,-11
tf_efficientnet_b7,41.431,58.569,63.017,36.983,66.35,600,0.949,bicubic,-43.505,-34.186,-6
tf_efficientnet_b7_ap,41.429,58.571,62.874,37.126,66.35,600,0.949,bicubic,-43.691,-34.378,-9
tf_efficientnet_b5_ap,41.418,58.582,62.084,37.916,30.39,456,0.934,bicubic,-42.834,-34.890,-4
tf_efficientnet_b6_ap,41.099,58.901,62.355,37.645,43.04,528,0.942,bicubic,-43.689,-34.783,-8
tf_efficientnet_b4_ap,40.484,59.516,61.723,38.277,19.34,380,0.922,bicubic,-42.764,-34.669,+2
tf_efficientnet_b3_ns,39.584,60.416,61.453,38.547,12.23,300,0.904,bicubic,-44.464,-35.457,-3
tf_efficientnet_b5,38.356,61.644,59.913,40.087,30.39,456,0.934,bicubic,-45.456,-36.835,-2
vit_base_patch16_384,38.099,61.901,60.428,39.572,86.86,384,1.000,bicubic,-46.111,-36.790,-8
resnest269e,37.315,62.685,57.468,42.532,110.93,416,0.928,bicubic,-47.203,-39.518,-12
tf_efficientnet_b3_ap,37.055,62.945,57.240,42.760,12.23,300,0.904,bicubic,-44.767,-38.384,+14
efficientnet_b3a,36.420,63.580,56.845,43.155,12.23,320,1.000,bicubic,-45.822,-39.269,+6
tf_efficientnet_b2_ns,36.183,63.817,57.551,42.449,9.11,260,0.890,bicubic,-46.197,-38.697,+3
efficientnet_b3,36.037,63.963,56.370,43.630,12.23,300,0.904,bicubic,-46.039,-39.650,+7
ecaresnet101d,36.004,63.996,56.165,43.835,44.57,224,0.875,bicubic,-46.168,-39.881,+5
resnest200e,35.931,64.069,55.849,44.151,70.20,320,0.909,bicubic,-47.901,-41.045,-11
swsl_resnet18,35.858,64.142,58.455,41.545,11.69,224,0.875,bilinear,-37.418,-33.279,+210
resnest101e,35.373,64.627,55.780,44.220,48.28,256,0.875,bilinear,-47.517,-40.540,-6
vit_large_patch32_384,34.673,65.326,55.729,44.271,306.63,384,1.000,bicubic,-46.833,-40.363,+13
ssl_resnext101_32x16d,34.605,65.395,55.931,44.069,194.03,224,0.875,bilinear,-47.239,-40.165,+4
regnety_032,34.383,65.617,54.283,45.717,19.44,224,0.875,bicubic,-47.619,-41.623,+2
resnest50d_4s2x40d,34.355,65.645,54.725,45.275,30.42,224,0.875,bicubic,-46.753,-40.833,+18
tf_efficientnet_b1_ns,34.157,65.843,55.489,44.511,7.79,240,0.882,bicubic,-47.231,-40.249,+12
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,+5
tf_efficientnet_b6,33.998,66.002,54.544,45.456,43.04,528,0.942,bicubic,-50.112,-42.342,-23
efficientnet_b3_pruned,33.996,66.004,54.108,45.892,9.86,300,0.904,bicubic,-46.862,-41.134,+20
tresnet_xl,33.257,66.743,52.294,47.706,78.44,224,0.875,bilinear,-48.797,-43.642,-6
resnest50d_1s4x24d,33.147,66.853,52.839,47.161,25.68,224,0.875,bicubic,-47.841,-42.483,+13
rexnet_200,32.987,67.013,52.939,47.061,16.37,224,0.875,bicubic,-48.645,-42.729,-1
resnest50d,32.972,67.028,52.713,47.287,27.48,224,0.875,bilinear,-48.002,-42.665,+12
tf_efficientnet_b3,32.860,67.140,52.950,47.050,12.23,300,0.904,bicubic,-48.776,-42.767,-4
pnasnet5large,32.848,67.152,50.500,49.500,86.06,331,0.911,bicubic,-49.934,-45.540,-20
nasnetalarge,32.775,67.225,50.141,49.859,88.75,331,0.911,bicubic,-49.845,-45.906,-19
inception_resnet_v2,32.738,67.262,50.648,49.352,55.84,299,0.897,bicubic,-47.720,-44.658,+23
gluon_resnet152_v1d,32.734,67.266,51.088,48.912,60.21,224,0.875,bicubic,-47.740,-44.118,+20
vit_base_patch16_224,32.722,67.278,53.157,46.843,86.54,224,0.900,bicubic,-46.626,-41.355,+66
tf_efficientnet_b2_ap,32.681,67.319,52.239,47.761,9.11,260,0.890,bicubic,-47.619,-42.789,+29
tresnet_l,32.559,67.441,51.139,48.861,55.99,224,0.875,bilinear,-48.931,-44.485,-6
vit_base_patch32_384,32.461,67.539,52.444,47.556,88.30,384,1.000,bicubic,-49.191,-43.684,-13
wide_resnet50_2,32.439,67.561,51.459,48.541,68.88,224,0.875,bicubic,-49.017,-44.073,-7
ens_adv_inception_resnet_v2,32.370,67.629,50.427,49.573,55.84,299,0.897,bicubic,-47.611,-44.509,+37
gluon_resnet152_v1s,32.331,67.669,50.526,49.474,60.32,224,0.875,bicubic,-48.685,-44.886,-2
gluon_seresnext101_64x4d,32.205,67.795,50.319,49.681,88.23,224,0.875,bicubic,-48.689,-44.989,+2
gluon_seresnext101_32x4d,32.107,67.893,51.237,48.763,48.96,224,0.875,bicubic,-48.797,-44.057,0
seresnext50_32x4d,31.985,68.015,51.231,48.769,27.56,224,0.875,bicubic,-49.281,-44.389,-9
cspresnext50,31.822,68.178,51.602,48.398,20.57,224,0.875,bilinear,-48.218,-43.342,+30
resnet50,31.547,68.453,50.170,49.830,25.56,224,0.875,bicubic,-47.491,-44.220,+74
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,+22
rexnet_150,31.366,68.634,51.288,48.712,9.73,224,0.875,bicubic,-48.944,-43.878,+14
cspresnet50,31.270,68.730,51.223,48.777,21.62,256,0.887,bilinear,-48.304,-43.489,+44
ecaresnetlight,31.121,68.879,50.243,49.757,30.16,224,0.875,bicubic,-49.341,-45.005,+4
gluon_resnet101_v1s,31.115,68.885,49.793,50.207,44.67,224,0.875,bicubic,-49.187,-45.367,+12
tf_efficientnet_cc_b0_8e,31.087,68.913,50.761,49.239,24.01,224,0.875,bicubic,-46.821,-42.892,+105
ecaresnet50d,31.058,68.942,50.848,49.152,25.58,224,0.875,bicubic,-49.534,-44.472,-3
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,+18
tresnet_m,30.997,69.003,48.682,51.318,31.39,224,0.875,bilinear,-49.805,-46.178,-9
gluon_resnet152_v1c,30.991,69.009,48.924,51.076,60.21,224,0.875,bicubic,-48.919,-45.916,+22
gluon_resnext101_64x4d,30.987,69.013,48.549,51.451,83.46,224,0.875,bicubic,-49.617,-46.439,-9
tf_efficientnet_cc_b1_8e,30.899,69.101,50.080,49.920,39.72,240,0.882,bicubic,-48.409,-44.290,+44
ecaresnet101d_pruned,30.897,69.103,50.013,49.987,24.88,224,0.875,bicubic,-49.921,-45.615,-15
gluon_resnext101_32x4d,30.877,69.123,48.537,51.463,44.18,224,0.875,bicubic,-49.457,-46.389,-1
tf_efficientnet_lite4,30.830,69.170,50.386,49.614,13.01,380,0.920,bilinear,-50.706,-45.282,-34
dpn107,30.678,69.322,48.810,51.190,86.92,224,0.875,bicubic,-49.478,-46.100,+7
ese_vovnet39b,30.657,69.343,49.875,50.125,24.57,224,0.875,bicubic,-48.663,-44.837,+37
gluon_resnet152_v1b,30.623,69.376,48.521,51.479,60.19,224,0.875,bicubic,-49.063,-46.215,+24
tresnet_xl_448,30.614,69.386,49.069,50.931,78.44,448,0.875,bilinear,-52.436,-47.104,-59
ssl_resnext50_32x4d,30.594,69.406,50.657,49.343,25.03,224,0.875,bilinear,-49.724,-44.749,-6
gluon_resnet101_v1d,30.523,69.477,47.950,52.050,44.57,224,0.875,bicubic,-49.891,-47.064,-11
dpn68b,30.517,69.483,49.162,50.838,12.61,224,0.875,bicubic,-48.699,-45.252,+42
resnest26d,30.490,69.510,50.677,49.323,17.07,224,0.875,bilinear,-47.988,-43.621,+67
efficientnet_b2a,30.435,69.565,49.698,50.302,9.11,288,1.000,bicubic,-50.177,-45.620,-23
tf_efficientnet_b1_ap,30.421,69.579,49.553,50.447,7.79,240,0.882,bicubic,-48.859,-44.753,+35
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,+17
tf_efficientnet_b2,30.026,69.974,49.581,50.419,9.11,260,0.890,bicubic,-50.060,-45.327,-3
dpn131,30.024,69.976,48.146,51.854,79.25,224,0.875,bicubic,-49.798,-46.564,+7
legacy_senet154,30.001,69.999,48.034,51.966,115.09,224,0.875,bilinear,-51.309,-47.462,-44
dpn92,29.953,70.047,49.162,50.838,37.67,224,0.875,bicubic,-50.055,-45.674,-3
gluon_senet154,29.877,70.123,47.894,52.106,115.09,224,0.875,bicubic,-51.357,-47.454,-44
xception,29.865,70.135,48.686,51.314,22.86,299,0.897,bicubic,-49.187,-45.706,+38
adv_inception_v3,29.816,70.184,47.847,52.153,23.83,299,0.875,bicubic,-47.766,-45.889,+85
gluon_xception65,29.784,70.216,47.755,52.245,39.92,299,0.903,bicubic,-49.932,-47.105,+6
resnetblur50,29.625,70.375,48.248,51.752,25.56,224,0.875,bicubic,-49.661,-46.390,+23
efficientnet_b2,29.615,70.385,48.777,51.223,9.11,260,0.875,bicubic,-50.777,-46.299,-26
efficientnet_em,29.486,70.514,48.946,51.054,6.90,240,0.882,bicubic,-49.766,-45.848,+23
resnext101_32x8d,29.439,70.561,48.486,51.514,88.79,224,0.875,bilinear,-49.869,-46.032,+16
ssl_resnet50,29.423,70.577,49.781,50.219,25.56,224,0.875,bilinear,-49.799,-45.051,+22
resnext50_32x4d,29.331,70.669,47.397,52.603,25.03,224,0.875,bicubic,-50.438,-47.201,-3
resnet34d,29.328,70.671,48.409,51.591,21.82,224,0.875,bicubic,-47.788,-44.973,+90
ecaresnet50d_pruned,29.215,70.785,48.453,51.547,19.94,224,0.875,bicubic,-50.501,-46.427,-3
tresnet_l_448,29.165,70.835,47.232,52.768,55.99,448,0.875,bilinear,-53.103,-48.744,-77
gluon_inception_v3,29.122,70.878,46.957,53.043,23.83,299,0.875,bicubic,-49.684,-47.413,+33
xception71,29.047,70.953,47.405,52.595,42.34,299,0.903,bicubic,-50.826,-47.517,-12
hrnet_w64,28.989,71.011,47.142,52.858,128.06,224,0.875,bilinear,-50.485,-47.510,+3
tf_efficientnet_b0_ns,28.902,71.098,49.011,50.989,5.29,224,0.875,bicubic,-49.756,-45.365,+37
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,+27
gluon_resnet101_v1b,28.878,71.121,46.389,53.611,44.55,224,0.875,bicubic,-50.427,-48.135,+6
skresnext50_32x4d,28.818,71.182,46.497,53.503,27.48,224,0.875,bicubic,-51.338,-48.145,-28
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,-24
skresnet34,28.645,71.355,47.953,52.047,22.28,224,0.875,bicubic,-48.267,-45.369,+83
hrnet_w40,28.641,71.359,47.454,52.546,57.56,224,0.875,bilinear,-50.279,-47.016,+18
tv_resnet152,28.533,71.467,47.118,52.882,60.19,224,0.875,bilinear,-49.779,-46.920,+39
hrnet_w48,28.413,71.587,47.586,52.414,77.47,224,0.875,bilinear,-50.887,-46.926,0
gluon_resnext50_32x4d,28.375,71.624,45.328,54.672,25.03,224,0.875,bicubic,-50.978,-49.098,-7
efficientnet_b2_pruned,28.362,71.638,47.051,52.949,8.31,260,0.890,bicubic,-51.554,-47.805,-29
tf_efficientnet_b0_ap,28.346,71.654,47.531,52.469,5.29,224,0.875,bicubic,-48.740,-45.725,+73
tf_efficientnet_cc_b0_4e,28.315,71.685,47.364,52.636,13.31,224,0.875,bicubic,-48.991,-45.970,+64
dla102x2,28.313,71.687,46.761,53.239,41.28,224,0.875,bilinear,-51.135,-47.879,-12
dla169,28.313,71.687,47.391,52.609,53.39,224,0.875,bilinear,-50.375,-46.945,+19
mixnet_xl,28.287,71.713,46.702,53.298,11.90,224,0.875,bicubic,-52.189,-48.234,-60
gluon_resnet50_v1d,28.246,71.754,45.878,54.122,25.58,224,0.875,bicubic,-50.828,-48.592,+3
wide_resnet101_2,28.108,71.892,46.401,53.599,126.89,224,0.875,bilinear,-50.748,-47.881,+9
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,-52.154,-49.900,-49
densenet161,28.081,71.919,46.641,53.359,28.68,224,0.875,bicubic,-49.277,-46.997,+55
regnety_320,28.059,71.941,45.444,54.556,145.05,224,0.875,bicubic,-52.753,-49.800,-72
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,-38
tf_inception_v3,27.782,72.218,45.721,54.279,23.83,299,0.875,bicubic,-50.080,-47.919,+38
res2net101_26w_4s,27.768,72.232,45.179,54.821,45.21,224,0.875,bilinear,-51.430,-49.189,-10
regnety_160,27.623,72.377,45.532,54.468,83.59,224,0.875,bicubic,-52.673,-49.430,-58
hrnet_w44,27.621,72.379,45.837,54.163,67.06,224,0.875,bilinear,-51.275,-48.531,-2
inception_v3,27.556,72.444,45.263,54.737,23.83,299,0.875,bicubic,-49.882,-48.213,+45
regnetx_080,27.405,72.595,45.002,54.998,39.57,224,0.875,bicubic,-51.789,-49.558,-12
hrnet_w30,27.381,72.619,46.554,53.446,37.71,224,0.875,bilinear,-50.825,-47.668,+20
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,-51.384,-49.016,-2
densenet201,27.265,72.735,46.222,53.778,20.01,224,0.875,bicubic,-50.021,-47.256,+44
densenetblur121d,27.228,72.772,46.299,53.701,8.00,224,0.875,bicubic,-49.360,-46.893,+60
regnety_064,27.220,72.780,44.847,55.153,30.58,224,0.875,bicubic,-52.502,-49.921,-46
efficientnet_b1_pruned,27.181,72.819,45.872,54.128,6.33,240,0.882,bicubic,-51.055,-47.962,+13
rexnet_130,27.094,72.906,45.933,54.067,7.56,224,0.875,bicubic,-52.406,-48.749,-38
vit_small_patch16_224,27.086,72.914,45.701,54.299,48.75,224,0.900,bicubic,-50.772,-47.715,+26
res2net50_26w_8s,27.078,72.921,44.428,55.572,48.40,224,0.875,bilinear,-52.120,-50.004,-23
dla102x,27.061,72.939,45.475,54.525,26.31,224,0.875,bilinear,-51.449,-48.753,-2
tv_resnet101,26.963,73.037,45.234,54.766,44.55,224,0.875,bilinear,-50.411,-48.306,+33
resnext50d_32x4d,26.876,73.124,44.436,55.564,25.05,224,0.875,bicubic,-52.800,-50.430,-49
regnetx_120,26.868,73.132,44.682,55.318,46.11,224,0.875,bicubic,-52.728,-50.056,-48
rexnet_100,26.831,73.169,45.369,54.631,4.80,224,0.875,bicubic,-51.027,-48.501,+19
densenet169,26.829,73.171,45.373,54.627,14.15,224,0.875,bicubic,-49.077,-47.653,+55
legacy_seresnext101_32x4d,26.811,73.189,43.497,56.503,48.96,224,0.875,bilinear,-53.417,-51.521,-75
regnety_120,26.788,73.212,44.454,55.546,51.82,224,0.875,bicubic,-53.578,-50.672,-85
regnetx_064,26.784,73.216,44.927,55.073,26.21,224,0.875,bicubic,-52.288,-49.531,-28
regnetx_032,26.703,73.297,45.236,54.764,15.30,224,0.875,bicubic,-51.469,-48.852,+2
legacy_seresnet152,26.676,73.324,43.947,56.053,66.82,224,0.875,bilinear,-51.984,-50.423,-16
densenet121,26.664,73.336,45.900,54.100,7.98,224,0.875,bicubic,-48.914,-46.752,+53
tf_efficientnet_el,26.623,73.377,44.648,55.352,10.59,300,0.904,bicubic,-53.817,-50.516,-93
efficientnet_es,26.621,73.379,45.112,54.888,5.44,224,0.875,bicubic,-51.445,-48.814,0
res2net50_26w_6s,26.595,73.405,43.990,56.010,37.05,224,0.875,bilinear,-51.975,-50.134,-18
dla60x,26.552,73.448,45.023,54.977,17.35,224,0.875,bilinear,-51.694,-48.994,-8
regnety_080,26.524,73.476,44.359,55.641,39.18,224,0.875,bicubic,-53.352,-50.471,-73
tf_efficientnet_b0,26.485,73.515,45.646,54.354,5.29,224,0.875,bicubic,-50.363,-47.582,+32
res2net50_14w_8s,26.483,73.517,44.371,55.629,25.06,224,0.875,bilinear,-51.667,-49.477,-6
gluon_resnet50_v1b,26.436,73.564,44.035,55.965,25.56,224,0.875,bicubic,-51.144,-49.681,+11
regnetx_040,26.243,73.757,44.438,55.562,22.12,224,0.875,bicubic,-52.239,-49.806,-21
dpn68,26.129,73.871,44.228,55.772,12.61,224,0.875,bicubic,-50.189,-48.750,+35
hrnet_w18,25.986,74.014,44.813,55.187,21.30,224,0.875,bilinear,-50.772,-48.631,+29
regnety_040,25.923,74.077,43.848,56.152,20.65,224,0.875,bicubic,-53.297,-50.808,-50
resnet34,25.888,74.112,43.982,56.018,21.80,224,0.875,bilinear,-49.222,-48.302,+49
res2net50_26w_4s,25.866,74.134,43.155,56.845,25.70,224,0.875,bilinear,-52.098,-50.699,-6
tresnet_m_448,25.852,74.148,42.874,57.126,31.39,448,0.875,bilinear,-55.862,-52.698,-140
gluon_resnet50_v1c,25.784,74.216,43.031,56.969,25.58,224,0.875,bicubic,-52.228,-50.957,-12
selecsls60,25.729,74.272,44.065,55.935,30.67,224,0.875,bicubic,-52.254,-49.763,-10
dla60_res2net,25.652,74.348,43.599,56.401,20.85,224,0.875,bilinear,-52.812,-50.607,-28
dla60_res2next,25.640,74.360,43.670,56.330,17.03,224,0.875,bilinear,-52.800,-50.482,-27
mixnet_l,25.512,74.488,43.455,56.545,7.33,224,0.875,bicubic,-53.464,-50.727,-48
tf_efficientnet_lite1,25.499,74.501,43.585,56.415,5.42,240,0.882,bicubic,-51.143,-49.641,+21
efficientnet_b1,25.469,74.531,43.284,56.716,7.79,240,0.875,bicubic,-53.229,-50.860,-41
tv_resnext50_32x4d,25.455,74.545,42.787,57.213,25.03,224,0.875,bilinear,-52.165,-50.909,-7
tf_mixnet_l,25.422,74.578,42.534,57.466,7.33,224,0.875,bicubic,-53.352,-51.464,-46
res2next50,25.389,74.611,42.508,57.492,24.67,224,0.875,bilinear,-52.857,-51.384,-28
legacy_seresnet101,25.334,74.666,42.825,57.175,49.33,224,0.875,bilinear,-53.048,-51.439,-32
selecsls60b,25.332,74.668,43.559,56.441,32.77,224,0.875,bicubic,-53.080,-50.614,-34
dla102,25.316,74.684,43.827,56.173,33.27,224,0.875,bilinear,-52.716,-50.119,-25
resnest14d,25.284,74.716,44.114,55.886,10.61,224,0.875,bilinear,-50.220,-48.404,+26
legacy_seresnext50_32x4d,25.210,74.790,41.936,58.064,27.56,224,0.875,bilinear,-53.868,-52.500,-63
res2net50_48w_2s,25.027,74.973,42.208,57.792,25.29,224,0.875,bilinear,-52.495,-51.346,-11
efficientnet_b0,25.015,74.985,42.787,57.213,5.29,224,0.875,bicubic,-52.683,-50.745,-18
gluon_resnet34_v1b,24.939,75.061,42.243,57.757,21.80,224,0.875,bicubic,-49.649,-49.747,+37
mobilenetv2_120d,24.937,75.063,43.058,56.942,5.83,224,0.875,bicubic,-52.347,-50.434,-7
dla60,24.933,75.067,43.296,56.704,22.04,224,0.875,bilinear,-52.099,-50.022,-1
regnety_016,24.811,75.189,42.616,57.384,11.20,224,0.875,bicubic,-53.051,-51.104,-26
tf_efficientnet_em,24.542,75.458,42.412,57.588,6.90,240,0.882,bicubic,-54.166,-51.902,-57
tf_efficientnet_lite2,24.530,75.470,42.280,57.720,6.09,260,0.890,bicubic,-52.938,-51.474,-17
skresnet18,24.483,75.517,42.536,57.464,11.96,224,0.875,bicubic,-48.555,-48.632,+38
regnetx_016,24.473,75.527,42.514,57.486,9.19,224,0.875,bicubic,-52.477,-50.906,-5
tf_efficientnet_lite0,24.373,75.627,42.487,57.513,4.65,224,0.875,bicubic,-50.457,-49.689,+24
tv_resnet50,24.070,75.930,41.313,58.687,25.56,224,0.875,bilinear,-52.068,-51.551,+5
legacy_seresnet34,24.027,75.973,41.909,58.091,21.96,224,0.875,bilinear,-50.781,-50.215,+23
resnet18d,23.929,76.071,42.302,57.698,11.71,224,0.875,bicubic,-48.331,-48.394,+38
efficientnet_lite0,23.909,76.091,42.088,57.912,4.65,224,0.875,bicubic,-51.575,-50.422,+11
tv_densenet121,23.844,76.156,41.925,58.075,7.98,224,0.875,bicubic,-50.894,-50.225,+21
tf_efficientnet_es,23.819,76.181,41.331,58.669,5.44,224,0.875,bicubic,-53.439,-52.263,-18
mobilenetv2_140,23.712,76.288,41.477,58.523,6.11,224,0.875,bicubic,-52.804,-51.520,-4
mixnet_m,23.710,76.290,41.141,58.859,5.01,224,0.875,bicubic,-53.550,-52.283,-21
dla34,23.669,76.331,41.551,58.449,15.74,224,0.875,bilinear,-50.961,-50.527,+19
legacy_seresnet50,23.651,76.349,40.091,59.909,28.09,224,0.875,bilinear,-53.978,-53.657,-36
ese_vovnet19b_dw,23.535,76.465,41.288,58.712,6.54,224,0.875,bicubic,-53.263,-51.980,-13
tf_mixnet_m,23.484,76.516,40.989,59.011,5.01,224,0.875,bicubic,-53.458,-52.163,-17
tv_resnet34,23.473,76.527,41.367,58.633,21.80,224,0.875,bilinear,-49.839,-50.059,+21
selecsls42b,23.357,76.643,40.677,59.323,32.46,224,0.875,bicubic,-53.817,-52.713,-25
mobilenetv2_110d,23.066,76.934,40.716,59.284,4.52,224,0.875,bicubic,-51.970,-51.470,+8
mobilenetv3_large_100,22.655,77.345,40.781,59.219,5.48,224,0.875,bicubic,-53.111,-51.761,-7
mobilenetv3_rw,22.630,77.370,40.374,59.626,5.48,224,0.875,bicubic,-53.004,-52.334,-6
tf_mobilenetv3_large_100,22.569,77.431,39.767,60.233,5.48,224,0.875,bilinear,-52.949,-52.839,-5
hrnet_w18_small_v2,22.337,77.663,39.861,60.139,15.60,224,0.875,bilinear,-52.777,-52.555,+1
regnety_008,22.119,77.881,38.900,61.100,6.26,224,0.875,bicubic,-54.197,-54.166,-15
seresnext26tn_32x4d,21.991,78.009,38.482,61.518,16.81,224,0.875,bicubic,-55.995,-55.264,-56
seresnext26t_32x4d,21.985,78.015,38.570,61.430,16.82,224,0.875,bicubic,-56.013,-55.138,-58
regnety_006,21.971,78.029,38.955,61.045,6.06,224,0.875,bicubic,-53.275,-53.577,-5
regnetx_008,21.940,78.060,38.928,61.072,7.26,224,0.875,bicubic,-53.098,-53.408,-2
resnet26d,21.907,78.094,38.619,61.381,16.01,224,0.875,bicubic,-54.789,-54.531,-25
semnasnet_100,21.903,78.097,38.600,61.400,3.89,224,0.875,bicubic,-53.545,-54.004,-10
regnetx_006,21.738,78.263,38.904,61.096,6.20,224,0.875,bicubic,-52.115,-52.768,+5
gluon_resnet18_v1b,21.549,78.451,38.869,61.131,11.69,224,0.875,bicubic,-49.287,-50.893,+16
fbnetc_100,21.484,78.516,38.161,61.839,5.57,224,0.875,bilinear,-53.640,-54.225,-10
mnasnet_100,21.350,78.650,37.719,62.281,4.38,224,0.875,bicubic,-53.308,-54.395,-3
resnet26,21.295,78.705,38.018,61.982,16.00,224,0.875,bicubic,-53.997,-54.552,-14
ssl_resnet18,21.278,78.722,39.113,60.887,11.69,224,0.875,bilinear,-51.332,-52.303,+6
mixnet_s,21.254,78.746,38.187,61.813,4.13,224,0.875,bicubic,-54.738,-54.609,-26
seresnext26d_32x4d,21.252,78.748,37.311,62.689,16.81,224,0.875,bicubic,-56.350,-56.297,-58
legacy_seresnext26_32x4d,21.093,78.907,37.633,62.367,16.79,224,0.875,bicubic,-56.011,-55.683,-44
regnetx_004,20.898,79.102,37.566,62.434,5.16,224,0.875,bicubic,-51.498,-53.264,+3
spnasnet_100,20.863,79.137,37.896,62.104,4.42,224,0.875,bilinear,-53.221,-53.922,-7
legacy_seresnet18,20.837,79.162,37.619,62.381,11.78,224,0.875,bicubic,-50.905,-52.715,+5
mobilenetv2_100,20.773,79.227,37.759,62.241,3.50,224,0.875,bicubic,-52.197,-53.257,-2
tf_mixnet_s,20.470,79.530,36.607,63.393,4.13,224,0.875,bicubic,-55.180,-56.023,-30
regnety_004,20.415,79.585,37.002,62.998,4.34,224,0.875,bicubic,-53.619,-54.750,-10
hrnet_w18_small,20.368,79.632,37.093,62.907,13.19,224,0.875,bilinear,-51.974,-53.585,-2
tf_mobilenetv3_large_075,20.366,79.634,36.764,63.236,3.99,224,0.875,bilinear,-53.072,-54.586,-10
resnet18,20.228,79.772,37.261,62.739,11.69,224,0.875,bilinear,-49.520,-51.816,+2
tf_mobilenetv3_large_minimal_100,20.122,79.878,36.908,63.092,3.92,224,0.875,bilinear,-52.126,-53.722,-3
regnety_002,17.450,82.550,32.431,67.569,3.16,224,0.875,bicubic,-52.802,-57.109,-1
regnetx_002,16.962,83.038,32.225,67.775,2.68,224,0.875,bicubic,-51.800,-56.331,0
dla60x_c,16.310,83.690,31.761,68.239,1.32,224,0.875,bilinear,-51.582,-56.665,+1
tf_mobilenetv3_small_100,16.226,83.775,31.223,68.777,2.54,224,0.875,bilinear,-51.697,-56.441,-1
tf_mobilenetv3_small_075,14.944,85.056,29.572,70.428,2.04,224,0.875,bilinear,-50.772,-56.558,+1
dla46_c,14.657,85.343,29.380,70.620,1.30,224,0.875,bilinear,-50.209,-56.912,+1
dla46x_c,14.382,85.618,29.191,70.809,1.07,224,0.875,bilinear,-51.588,-57.789,-2
tf_mobilenetv3_small_minimal_100,13.964,86.036,27.988,72.012,2.04,224,0.875,bilinear,-48.942,-56.242,0
ig_resnext101_32x48d,58.832,41.168,81.078,18.922,828.41,224,0.875,bilinear,-27.616,-16.802,+3
ig_resnext101_32x32d,58.411,41.589,80.424,19.576,468.53,224,0.875,bilinear,-26.739,-17.046,+8
ig_resnext101_32x16d,57.675,42.325,79.895,20.105,194.03,224,0.875,bilinear,-26.528,-17.322,+19
swsl_resnext101_32x16d,57.449,42.551,80.391,19.609,194.03,224,0.875,bilinear,-25.895,-16.449,+27
swsl_resnext101_32x8d,56.438,43.562,78.950,21.050,88.79,224,0.875,bilinear,-27.944,-18.416,+14
ig_resnext101_32x8d,54.927,45.073,77.524,22.476,88.79,224,0.875,bilinear,-27.769,-19.120,+35
swsl_resnext101_32x4d,53.583,46.417,76.372,23.628,44.18,224,0.875,bilinear,-29.639,-20.396,+27
tf_efficientnet_l2_ns_475,51.434,48.566,73.841,26.159,480.31,475,0.936,bicubic,-32.306,-22.929,-8
swsl_resnext50_32x4d,50.412,49.588,73.362,26.638,25.03,224,0.875,bilinear,-31.760,-22.870,+40
swsl_resnet50,49.525,50.475,72.354,27.646,25.56,224,0.875,bilinear,-31.611,-23.620,+58
tf_efficientnet_b6_ns,47.729,52.271,69.927,30.073,43.04,528,0.942,bicubic,-40.511,-28.623,-9
tf_efficientnet_b7_ns,47.718,52.282,69.604,30.396,66.35,600,0.949,bicubic,-40.632,-29.052,-11
tf_efficientnet_l2_ns,47.478,52.522,69.919,30.081,480.31,800,0.960,bicubic,-36.886,-27.121,-14
tf_efficientnet_b8_ap,45.766,54.234,67.915,32.086,87.41,672,0.954,bicubic,-40.312,-29.838,-9
tf_efficientnet_b5_ns,45.603,54.397,67.826,32.174,30.39,456,0.934,bicubic,-41.225,-30.258,-12
vit_base_resnet50_384,43.512,56.488,66.808,33.192,98.95,384,1.000,bicubic,-41.608,-30.442,-5
tf_efficientnet_b4_ns,43.444,56.556,65.474,34.526,19.34,380,0.922,bicubic,-41.906,-31.916,-9
vit_large_patch16_384,43.308,56.692,66.453,33.547,304.72,384,1.000,bicubic,-42.066,-30.845,-11
tf_efficientnet_b8,42.492,57.508,64.867,35.133,87.41,672,0.954,bicubic,-42.931,-32.711,-13
tf_efficientnet_b7_ap,41.451,58.549,62.898,37.102,66.35,600,0.949,bicubic,-43.715,-34.464,-11
tf_efficientnet_b7,41.447,58.553,63.051,36.949,66.35,600,0.949,bicubic,-43.539,-34.245,-8
tf_efficientnet_b5_ap,41.408,58.592,62.098,37.902,30.39,456,0.934,bicubic,-42.862,-35.072,-2
resnetv2_152x4_bitm,41.235,58.765,64.281,35.719,936.53,480,1.000,bilinear,-43.855,-33.159,-11
tf_efficientnet_b6_ap,41.113,58.887,62.381,37.619,43.04,528,0.942,bicubic,-43.835,-35.069,-10
vit_large_patch16_224,40.730,59.270,63.584,36.416,304.33,224,0.900,bicubic,-42.330,-32.861,+11
tf_efficientnet_b4_ap,40.480,59.520,61.736,38.264,19.34,380,0.922,bicubic,-42.776,-34.658,+6
tf_efficientnet_b3_ns,39.511,60.489,61.453,38.547,12.23,300,0.904,bicubic,-44.602,-35.435,-3
resnet200d,38.666,61.334,59.144,40.856,64.69,256,0.940,bicubic,-44.576,-37.344,+5
resnet152d,38.484,61.516,59.209,40.791,60.21,256,0.940,bicubic,-44.650,-37.141,+6
tf_efficientnet_b5,38.362,61.638,59.919,40.081,30.39,456,0.934,bicubic,-45.490,-36.971,-3
vit_base_patch16_384,38.128,61.872,60.435,39.565,86.86,384,1.000,bicubic,-46.126,-36.538,-10
seresnet152d,38.044,61.956,58.315,41.685,66.84,256,0.940,bicubic,-45.708,-38.805,+30
resnet152d_320,37.880,62.120,58.368,41.632,60.21,320,1.000,bicubic,-45.785,-38.366,-2
resnet200d_320,37.509,62.491,58.307,41.693,64.69,320,1.000,bicubic,-46.535,-38.603,-8
resnest269e,37.299,62.701,57.460,42.540,110.93,416,0.928,bicubic,-47.635,-39.744,-19
tf_efficientnet_b3_ap,37.061,62.939,57.248,42.752,12.23,300,0.904,bicubic,-44.761,-38.372,+19
resnetv2_152x2_bitm,36.835,63.165,59.917,40.083,236.34,480,1.000,bilinear,-47.951,-37.221,-20
seresnet152d_320,36.809,63.191,56.729,43.271,66.84,320,1.000,bicubic,-47.594,-40.705,+18
efficientnet_b3a,36.426,63.574,56.843,43.157,12.23,320,1.000,bicubic,-45.828,-39.271,+9
tf_efficientnet_b2_ns,36.139,63.861,57.515,42.485,9.11,260,0.890,bicubic,-46.253,-38.723,+5
efficientnet_b3,36.045,63.955,56.391,43.609,12.23,300,0.904,bicubic,-46.037,-39.635,+11
ecaresnet101d,36.008,63.992,56.199,43.801,44.57,224,0.875,bicubic,-46.168,-39.857,+8
resnest200e,35.941,64.059,55.877,44.123,70.20,320,0.909,bicubic,-48.027,-40.941,-15
swsl_resnet18,35.852,64.147,58.462,41.538,11.69,224,0.875,bilinear,-37.428,-33.295,+211
resnet101d,35.829,64.171,55.385,44.615,44.57,256,0.940,bicubic,-46.481,-40.679,+1
vit_base_patch16_224,35.784,64.216,57.388,42.612,86.57,224,0.900,bicubic,-46.000,-38.738,+11
resnest101e,35.397,64.603,55.800,44.200,48.28,256,0.875,bilinear,-47.481,-40.514,-5
resnetv2_101x3_bitm,35.292,64.707,57.885,42.115,387.93,480,1.000,bilinear,-49.234,-39.101,-29
resnet101d_320,34.864,65.136,54.218,45.782,44.57,320,1.000,bicubic,-48.160,-42.238,-8
ssl_resnext101_32x16d,34.609,65.391,55.951,44.049,194.03,224,0.875,bilinear,-47.229,-40.141,+5
regnety_032,34.402,65.598,54.281,45.719,19.44,224,0.875,bicubic,-47.606,-41.631,+3
resnest50d_4s2x40d,34.361,65.639,54.733,45.267,30.42,224,0.875,bicubic,-46.753,-40.821,+19
tf_efficientnet_b1_ns,34.108,65.892,55.462,44.538,7.79,240,0.882,bicubic,-47.278,-40.278,+13
tf_efficientnet_b4,34.066,65.934,54.200,45.800,19.34,380,0.922,bicubic,-48.960,-42.098,-14
ssl_resnext101_32x8d,34.047,65.953,55.596,44.404,88.79,224,0.875,bilinear,-47.559,-40.448,+7
tf_efficientnet_b6,34.037,65.963,54.558,45.442,43.04,528,0.942,bicubic,-50.127,-42.636,-31
efficientnet_b3_pruned,34.017,65.983,54.124,45.876,9.86,300,0.904,bicubic,-46.841,-41.116,+21
tresnet_xl,33.274,66.726,52.312,47.688,78.44,224,0.875,bilinear,-48.780,-43.620,-5
resnest50d_1s4x24d,33.151,66.849,52.852,47.148,25.68,224,0.875,bicubic,-47.853,-42.474,+14
rexnet_200,32.986,67.014,52.947,47.053,16.37,224,0.875,bicubic,-48.641,-42.725,+1
resnest50d,32.980,67.020,52.717,47.283,27.48,224,0.875,bilinear,-47.978,-42.661,+13
tf_efficientnet_b3,32.842,67.158,52.956,47.044,12.23,300,0.904,bicubic,-48.804,-42.766,-2
nasnetalarge,32.775,67.225,50.150,49.850,88.75,331,0.911,bicubic,-49.851,-45.900,-19
gluon_resnet152_v1d,32.748,67.252,51.080,48.920,60.21,224,0.875,bicubic,-47.730,-44.120,+22
tf_efficientnet_b2_ap,32.669,67.331,52.247,47.753,9.11,260,0.890,bicubic,-47.633,-42.785,+31
tresnet_l,32.557,67.443,51.145,48.855,55.99,224,0.875,bilinear,-48.929,-44.475,-2
wide_resnet50_2,32.484,67.516,51.463,48.537,68.88,224,0.875,bicubic,-48.968,-44.059,-2
vit_base_patch32_384,32.471,67.529,52.457,47.543,88.30,384,1.000,bicubic,-49.185,-43.673,-9
resnetv2_50x3_bitm,32.469,67.531,54.293,45.707,217.32,480,1.000,bilinear,-51.339,-42.453,-39
gluon_resnet152_v1s,32.333,67.667,50.528,49.472,60.32,224,0.875,bicubic,-48.685,-44.892,+2
gluon_seresnext101_64x4d,32.219,67.781,50.343,49.657,88.23,224,0.875,bicubic,-48.665,-44.971,+5
gluon_seresnext101_32x4d,32.115,67.885,51.231,48.769,48.96,224,0.875,bicubic,-48.757,-44.061,+5
seresnext50_32x4d,32.019,67.981,51.253,48.747,27.56,224,0.875,bicubic,-49.255,-44.365,-5
cspresnext50,31.816,68.184,51.602,48.398,20.57,224,0.875,bilinear,-48.230,-43.342,+33
resnet50,31.571,68.429,50.178,49.822,25.56,224,0.875,bicubic,-47.465,-44.214,+75
ssl_resnext101_32x4d,31.463,68.537,52.139,47.861,44.18,224,0.875,bilinear,-49.451,-43.595,-1
rexnet_150,31.372,68.628,51.296,48.704,9.73,224,0.875,bicubic,-48.938,-43.866,+17
cspresnet50,31.264,68.736,51.231,48.769,21.62,256,0.887,bilinear,-48.310,-43.477,+47
gluon_resnet101_v1s,31.152,68.848,49.828,50.172,44.67,224,0.875,bicubic,-49.134,-45.332,+18
ecaresnetlight,31.138,68.862,50.256,49.744,30.16,224,0.875,bicubic,-49.320,-44.994,+8
tf_efficientnet_cc_b0_8e,31.085,68.915,50.771,49.229,24.01,224,0.875,bicubic,-46.823,-42.881,+107
ecaresnet50d,31.079,68.921,50.854,49.146,25.58,224,0.875,bicubic,-49.535,-44.454,+1
resnet50d,31.036,68.964,49.846,50.154,25.58,224,0.875,bicubic,-49.512,-45.312,+2
cspdarknet53,31.017,68.984,50.406,49.594,27.64,256,0.887,bilinear,-49.032,-44.686,+22
gluon_resnet152_v1c,31.011,68.989,48.940,51.060,60.21,224,0.875,bicubic,-48.903,-45.908,+25
tresnet_m,30.999,69.001,48.692,51.308,31.39,224,0.875,bilinear,-49.805,-46.166,-6
gluon_resnext101_64x4d,30.997,69.003,48.555,51.445,83.46,224,0.875,bicubic,-49.633,-46.443,-5
ecaresnet101d_pruned,30.901,69.099,50.013,49.987,24.88,224,0.875,bicubic,-49.915,-45.625,-9
gluon_resnext101_32x4d,30.887,69.113,48.559,51.441,44.18,224,0.875,bicubic,-49.447,-46.349,+4
tf_efficientnet_cc_b1_8e,30.887,69.113,50.080,49.920,39.72,240,0.882,bicubic,-48.439,-44.292,+42
tf_efficientnet_lite4,30.849,69.150,50.404,49.596,13.01,380,0.920,bilinear,-50.687,-45.256,-28
ese_vovnet39b,30.690,69.310,49.871,50.129,24.57,224,0.875,bicubic,-48.622,-44.851,+42
dpn107,30.673,69.327,48.834,51.166,86.92,224,0.875,bicubic,-49.483,-46.076,+10
tresnet_xl_448,30.622,69.379,49.077,50.923,78.44,448,0.875,bilinear,-52.434,-47.109,-55
gluon_resnet152_v1b,30.616,69.384,48.519,51.481,60.19,224,0.875,bicubic,-49.076,-46.215,+26
ssl_resnext50_32x4d,30.606,69.394,50.691,49.309,25.03,224,0.875,bilinear,-49.696,-44.721,-1
gluon_resnet101_v1d,30.535,69.465,47.977,52.023,44.57,224,0.875,bicubic,-49.867,-47.043,-7
dpn68b,30.517,69.483,49.130,50.870,12.61,224,0.875,bicubic,-48.695,-45.292,+44
resnest26d,30.502,69.498,50.677,49.323,17.07,224,0.875,bilinear,-47.978,-43.623,+69
efficientnet_b2a,30.441,69.559,49.700,50.300,9.11,288,1.000,bicubic,-50.173,-45.618,-16
tf_efficientnet_b1_ap,30.417,69.583,49.549,50.451,7.79,240,0.882,bicubic,-48.859,-44.753,+37
dpn98,30.064,69.936,48.252,51.748,61.57,224,0.875,bicubic,-49.587,-46.354,+21
seresnet50,30.061,69.939,49.329,50.671,28.09,224,0.875,bicubic,-50.197,-45.737,-4
dpn131,30.026,69.974,48.158,51.842,79.25,224,0.875,bicubic,-49.800,-46.554,+11
tf_efficientnet_b2,30.020,69.980,49.592,50.408,9.11,260,0.890,bicubic,-50.052,-45.312,0
legacy_senet154,29.991,70.009,48.046,51.954,115.09,224,0.875,bilinear,-51.335,-47.462,-39
dpn92,29.975,70.025,49.178,50.822,37.67,224,0.875,bicubic,-50.015,-45.666,+1
xception,29.895,70.106,48.732,51.268,22.86,299,0.897,bicubic,-49.152,-45.664,+41
gluon_senet154,29.890,70.109,47.885,52.115,115.09,224,0.875,bicubic,-51.338,-47.467,-40
adv_inception_v3,29.814,70.186,47.871,52.129,23.83,299,0.875,bicubic,-47.768,-45.869,+87
gluon_xception65,29.796,70.204,47.776,52.224,39.92,299,0.903,bicubic,-49.906,-47.091,+9
resnetblur50,29.617,70.383,48.268,51.732,25.56,224,0.875,bicubic,-49.669,-46.372,+25
efficientnet_b2,29.602,70.398,48.791,51.209,9.11,260,0.875,bicubic,-50.776,-46.287,-22
efficientnet_em,29.492,70.508,48.948,51.052,6.90,240,0.882,bicubic,-49.772,-45.842,+25
resnext101_32x8d,29.433,70.567,48.502,51.498,88.79,224,0.875,bilinear,-49.871,-46.024,+21
ssl_resnet50,29.423,70.577,49.761,50.239,25.56,224,0.875,bilinear,-49.813,-45.069,+24
resnext50_32x4d,29.346,70.654,47.397,52.603,25.03,224,0.875,bicubic,-50.444,-47.209,0
resnet34d,29.321,70.679,48.425,51.575,21.82,224,0.875,bicubic,-47.793,-44.957,+92
ecaresnet50d_pruned,29.218,70.781,48.458,51.542,19.94,224,0.875,bicubic,-50.494,-46.418,0
tresnet_l_448,29.175,70.825,47.256,52.744,55.99,448,0.875,bilinear,-53.085,-48.722,-73
gluon_inception_v3,29.134,70.866,46.963,53.037,23.83,299,0.875,bicubic,-49.666,-47.417,+35
xception71,29.055,70.945,47.441,52.559,42.34,299,0.903,bicubic,-50.829,-47.492,-10
hrnet_w64,28.996,71.004,47.142,52.858,128.06,224,0.875,bilinear,-50.466,-47.512,+6
tf_efficientnet_b0_ns,28.904,71.096,48.991,51.009,5.29,224,0.875,bicubic,-49.756,-45.381,+39
gluon_resnet101_v1b,28.900,71.100,46.405,53.595,44.55,224,0.875,bicubic,-50.404,-48.125,+10
xception65,28.900,71.100,47.173,52.827,39.92,299,0.903,bicubic,-50.650,-47.485,0
resnetv2_101x1_bitm,28.886,71.114,49.525,50.475,44.54,480,1.000,bilinear,-53.328,-46.947,-78
tf_efficientnet_b1,28.873,71.127,47.515,52.485,7.79,240,0.882,bicubic,-49.971,-46.681,+27
skresnext50_32x4d,28.851,71.149,46.507,53.493,27.48,224,0.875,bicubic,-51.295,-48.133,-25
tf_efficientnet_lite3,28.664,71.336,47.374,52.626,8.20,300,0.904,bilinear,-51.162,-47.534,-14
gluon_seresnext50_32x4d,28.653,71.347,46.470,53.530,27.56,224,0.875,bicubic,-51.271,-48.352,-22
skresnet34,28.651,71.349,47.967,52.033,22.28,224,0.875,bicubic,-48.279,-45.355,+84
hrnet_w40,28.633,71.367,47.452,52.548,57.56,224,0.875,bilinear,-50.299,-47.026,+19
tv_resnet152,28.535,71.465,47.126,52.874,60.19,224,0.875,bilinear,-49.785,-46.926,+40
hrnet_w48,28.421,71.579,47.586,52.414,77.47,224,0.875,bilinear,-50.895,-46.928,-2
gluon_resnext50_32x4d,28.389,71.611,45.359,54.641,25.03,224,0.875,bicubic,-50.965,-49.064,-5
efficientnet_b2_pruned,28.364,71.636,47.059,52.941,8.31,260,0.890,bicubic,-51.542,-47.797,-26
tf_efficientnet_b0_ap,28.356,71.644,47.535,52.465,5.29,224,0.875,bicubic,-48.746,-45.729,+74
tf_efficientnet_cc_b0_4e,28.346,71.654,47.372,52.628,13.31,224,0.875,bicubic,-48.974,-45.950,+65
dla169,28.340,71.660,47.397,52.603,53.39,224,0.875,bilinear,-50.354,-46.933,+21
dla102x2,28.326,71.674,46.780,53.220,41.28,224,0.875,bilinear,-51.116,-47.866,-11
mixnet_xl,28.285,71.715,46.706,53.294,11.90,224,0.875,bicubic,-52.189,-48.228,-55
gluon_resnet50_v1d,28.238,71.762,45.923,54.077,25.58,224,0.875,bicubic,-50.826,-48.547,+5
gluon_resnet101_v1c,28.122,71.878,45.998,54.002,44.57,224,0.875,bicubic,-51.410,-48.590,-17
wide_resnet101_2,28.104,71.896,46.425,53.575,126.89,224,0.875,bilinear,-50.750,-47.857,+9
densenet161,28.098,71.902,46.653,53.347,28.68,224,0.875,bicubic,-49.262,-46.981,+57
regnetx_320,28.095,71.906,45.130,54.870,107.81,224,0.875,bicubic,-52.159,-49.900,-47
regnety_320,28.069,71.931,45.452,54.548,145.05,224,0.875,bicubic,-52.729,-49.794,-67
xception41,27.894,72.106,45.896,54.104,26.97,299,0.903,bicubic,-50.642,-48.388,+16
regnetx_160,27.829,72.171,45.627,54.373,54.28,224,0.875,bicubic,-52.009,-49.197,-36
tf_inception_v3,27.808,72.192,45.725,54.275,23.83,299,0.875,bicubic,-50.058,-47.921,+39
res2net101_26w_4s,27.786,72.214,45.194,54.806,45.21,224,0.875,bilinear,-51.408,-49.240,-8
hrnet_w44,27.639,72.361,45.837,54.163,67.06,224,0.875,bilinear,-51.251,-48.537,0
regnety_160,27.605,72.395,45.542,54.458,83.59,224,0.875,bicubic,-52.671,-49.426,-56
inception_v3,27.582,72.418,45.263,54.737,23.83,299,0.875,bicubic,-49.882,-48.213,+46
regnetx_080,27.399,72.601,44.998,55.002,39.57,224,0.875,bicubic,-51.813,-49.556,-13
hrnet_w32,27.387,72.613,46.026,53.974,41.23,224,0.875,bilinear,-51.059,-48.164,+13
hrnet_w30,27.379,72.621,46.560,53.440,37.71,224,0.875,bilinear,-50.827,-47.664,+20
gluon_resnet50_v1s,27.334,72.666,45.257,54.743,25.68,224,0.875,bicubic,-51.366,-48.989,+1
densenet201,27.277,72.723,46.212,53.788,20.01,224,0.875,bicubic,-50.013,-47.268,+45
densenetblur121d,27.247,72.752,46.322,53.678,8.00,224,0.875,bicubic,-49.338,-46.874,+61
regnety_064,27.218,72.782,44.845,55.155,30.58,224,0.875,bicubic,-52.514,-49.919,-44
efficientnet_b1_pruned,27.175,72.825,45.890,54.110,6.33,240,0.882,bicubic,-51.073,-47.946,+13
rexnet_130,27.110,72.890,45.951,54.049,7.56,224,0.875,bicubic,-52.384,-48.723,-36
res2net50_26w_8s,27.096,72.904,44.432,55.568,48.40,224,0.875,bilinear,-52.096,-49.936,-20
vit_small_patch16_224,27.088,72.912,45.723,54.277,48.75,224,0.900,bicubic,-50.766,-47.701,+26
dla102x,27.057,72.943,45.507,54.493,26.31,224,0.875,bilinear,-51.453,-48.723,-1
tv_resnet101,26.976,73.024,45.245,54.755,44.55,224,0.875,bilinear,-50.390,-48.310,+34
resnext50d_32x4d,26.874,73.126,44.444,55.556,25.05,224,0.875,bicubic,-52.794,-50.422,-47
regnetx_120,26.870,73.130,44.674,55.326,46.11,224,0.875,bicubic,-52.740,-50.058,-46
rexnet_100,26.860,73.140,45.381,54.619,4.80,224,0.875,bicubic,-51.002,-48.497,+20
densenet169,26.847,73.153,45.409,54.591,14.15,224,0.875,bicubic,-49.051,-47.613,+56
regnety_120,26.811,73.189,44.505,55.495,51.82,224,0.875,bicubic,-53.567,-50.617,-81
legacy_seresnext101_32x4d,26.805,73.195,43.497,56.503,48.96,224,0.875,bilinear,-53.423,-51.523,-73
regnetx_064,26.799,73.201,44.947,55.053,26.21,224,0.875,bicubic,-52.264,-49.513,-28
regnetx_032,26.715,73.285,45.259,54.741,15.30,224,0.875,bicubic,-51.433,-48.829,+3
legacy_seresnet152,26.678,73.322,43.943,56.057,66.82,224,0.875,bilinear,-51.988,-50.433,-15
densenet121,26.666,73.334,45.902,54.098,7.98,224,0.875,bicubic,-48.898,-46.746,+54
tf_efficientnet_el,26.633,73.368,44.654,55.346,10.59,300,0.904,bicubic,-53.816,-50.516,-90
efficientnet_es,26.631,73.370,45.116,54.884,5.44,224,0.875,bicubic,-51.458,-48.816,+1
res2net50_26w_6s,26.595,73.405,44.000,56.000,37.05,224,0.875,bilinear,-51.971,-50.120,-17
dla60x,26.562,73.438,45.049,54.951,17.35,224,0.875,bilinear,-51.688,-48.975,-7
regnety_080,26.552,73.448,44.377,55.623,39.18,224,0.875,bicubic,-53.318,-50.453,-70
tf_efficientnet_b0,26.483,73.517,45.656,54.344,5.29,224,0.875,bicubic,-50.365,-47.576,+33
res2net50_14w_8s,26.481,73.519,44.377,55.623,25.06,224,0.875,bilinear,-51.657,-49.479,-5
gluon_resnet50_v1b,26.426,73.574,44.047,55.953,25.56,224,0.875,bicubic,-51.152,-49.671,+12
regnetx_040,26.247,73.753,44.462,55.538,22.12,224,0.875,bicubic,-52.237,-49.791,-20
dpn68,26.120,73.880,44.239,55.761,12.61,224,0.875,bicubic,-50.192,-48.729,+37
hrnet_w18,25.992,74.008,44.811,55.189,21.30,224,0.875,bilinear,-50.772,-48.631,+30
regnety_040,25.929,74.071,43.858,56.142,20.65,224,0.875,bicubic,-53.303,-50.786,-49
resnet34,25.892,74.108,43.988,56.012,21.80,224,0.875,bilinear,-49.214,-48.288,+50
res2net50_26w_4s,25.884,74.116,43.180,56.820,25.70,224,0.875,bilinear,-52.108,-50.672,-8
tresnet_m_448,25.852,74.148,42.883,57.117,31.39,448,0.875,bilinear,-55.866,-52.683,-135
gluon_resnet50_v1c,25.788,74.213,43.035,56.965,25.58,224,0.875,bicubic,-52.220,-50.953,-11
selecsls60,25.727,74.273,44.070,55.930,30.67,224,0.875,bicubic,-52.263,-49.758,-10
dla60_res2net,25.681,74.319,43.605,56.395,20.85,224,0.875,bilinear,-52.779,-50.601,-27
dla60_res2next,25.634,74.366,43.679,56.321,17.03,224,0.875,bilinear,-52.810,-50.479,-26
tf_efficientnet_lite1,25.524,74.476,43.601,56.399,5.42,240,0.882,bicubic,-51.142,-49.637,+23
mixnet_l,25.520,74.480,43.481,56.519,7.33,224,0.875,bicubic,-53.460,-50.701,-48
tv_resnext50_32x4d,25.477,74.523,42.821,57.179,25.03,224,0.875,bilinear,-52.137,-50.863,-5
efficientnet_b1,25.473,74.527,43.296,56.704,7.79,240,0.875,bicubic,-53.233,-50.858,-42
tf_mixnet_l,25.438,74.562,42.530,57.470,7.33,224,0.875,bicubic,-53.338,-51.472,-45
res2next50,25.406,74.594,42.520,57.480,24.67,224,0.875,bilinear,-52.830,-51.386,-26
legacy_seresnet101,25.332,74.668,42.823,57.177,49.33,224,0.875,bilinear,-53.048,-51.439,-31
dla102,25.326,74.674,43.811,56.189,33.27,224,0.875,bilinear,-52.704,-50.141,-23
selecsls60b,25.316,74.684,43.575,56.425,32.77,224,0.875,bicubic,-53.094,-50.603,-34
resnest14d,25.312,74.688,44.106,55.894,10.61,224,0.875,bilinear,-50.202,-48.412,+26
legacy_seresnext50_32x4d,25.227,74.772,41.962,58.038,27.56,224,0.875,bilinear,-53.857,-52.472,-62
res2net50_48w_2s,25.019,74.981,42.219,57.781,25.29,224,0.875,bilinear,-52.515,-51.341,-10
efficientnet_b0,25.017,74.983,42.797,57.203,5.29,224,0.875,bicubic,-52.689,-50.725,-17
gluon_resnet34_v1b,24.931,75.069,42.253,57.747,21.80,224,0.875,bicubic,-49.657,-49.743,+37
dla60,24.931,75.069,43.310,56.690,22.04,224,0.875,bilinear,-52.105,-50.014,+2
mobilenetv2_120d,24.927,75.073,43.054,56.946,5.83,224,0.875,bicubic,-52.351,-50.456,-6
regnety_016,24.801,75.199,42.620,57.380,11.20,224,0.875,bicubic,-53.067,-51.106,-25
tf_efficientnet_em,24.549,75.451,42.418,57.582,6.90,240,0.882,bicubic,-54.163,-51.910,-57
tf_efficientnet_lite2,24.532,75.468,42.247,57.753,6.09,260,0.890,bicubic,-52.950,-51.501,-16
regnetx_016,24.498,75.502,42.520,57.480,9.19,224,0.875,bicubic,-52.448,-50.906,-2
skresnet18,24.483,75.517,42.544,57.456,11.96,224,0.875,bicubic,-48.543,-48.628,+38
tf_efficientnet_lite0,24.396,75.604,42.485,57.515,4.65,224,0.875,bicubic,-50.436,-49.689,+25
resnetv2_50x1_bitm,24.227,75.773,43.477,56.523,25.55,480,1.000,bilinear,-55.965,-52.153,-118
tv_resnet50,24.078,75.922,41.329,58.671,25.56,224,0.875,bilinear,-52.080,-51.549,+5
legacy_seresnet34,24.033,75.967,41.905,58.095,21.96,224,0.875,bilinear,-50.757,-50.221,+23
resnet18d,23.927,76.073,42.302,57.698,11.71,224,0.875,bicubic,-48.347,-48.386,+38
efficientnet_lite0,23.919,76.081,42.105,57.895,4.65,224,0.875,bicubic,-51.583,-50.409,+11
tf_efficientnet_es,23.830,76.170,41.325,58.675,5.44,224,0.875,bicubic,-53.454,-52.279,-19
tv_densenet121,23.824,76.176,41.925,58.075,7.98,224,0.875,bicubic,-50.918,-50.229,+20
mobilenetv2_140,23.701,76.299,41.492,58.508,6.11,224,0.875,bicubic,-52.811,-51.506,-5
dla34,23.701,76.299,41.547,58.453,15.74,224,0.875,bilinear,-50.923,-50.515,+21
mixnet_m,23.697,76.303,41.160,58.840,5.01,224,0.875,bicubic,-53.577,-52.262,-21
legacy_seresnet50,23.648,76.353,40.103,59.897,28.09,224,0.875,bilinear,-53.989,-53.641,-36
ese_vovnet19b_dw,23.543,76.457,41.282,58.718,6.54,224,0.875,bicubic,-53.275,-51.996,-13
tf_mixnet_m,23.504,76.496,40.993,59.007,5.01,224,0.875,bicubic,-53.452,-52.171,-18
tv_resnet34,23.496,76.504,41.406,58.594,21.80,224,0.875,bilinear,-49.808,-50.018,+21
selecsls42b,23.394,76.606,40.665,59.335,32.46,224,0.875,bicubic,-53.790,-52.723,-25
mobilenetv2_110d,23.072,76.928,40.738,59.262,4.52,224,0.875,bicubic,-51.976,-51.452,+8
mobilenetv3_large_100,22.653,77.347,40.787,59.213,5.48,224,0.875,bicubic,-53.121,-51.751,-7
mobilenetv3_rw,22.632,77.368,40.408,59.592,5.48,224,0.875,bicubic,-52.988,-52.304,-6
tf_mobilenetv3_large_100,22.567,77.433,39.751,60.249,5.48,224,0.875,bilinear,-52.943,-52.859,-4
hrnet_w18_small_v2,22.355,77.645,39.897,60.103,15.60,224,0.875,bilinear,-52.754,-52.515,+1
regnety_008,22.117,77.883,38.926,61.074,6.26,224,0.875,bicubic,-54.203,-54.142,-16
seresnext26t_32x4d,22.017,77.984,38.588,61.412,16.82,224,0.875,bicubic,-55.971,-55.144,-55
seresnext26tn_32x4d,22.007,77.993,38.505,61.495,16.81,224,0.875,bicubic,-55.979,-55.239,-55
regnety_006,21.975,78.025,38.961,61.039,6.06,224,0.875,bicubic,-53.293,-53.569,-5
regnetx_008,21.960,78.040,38.934,61.066,7.26,224,0.875,bicubic,-53.092,-53.408,-2
resnet26d,21.932,78.068,38.641,61.359,16.01,224,0.875,bicubic,-54.756,-54.505,-25
semnasnet_100,21.907,78.094,38.604,61.396,3.89,224,0.875,bicubic,-53.545,-54.006,-10
regnetx_006,21.738,78.263,38.928,61.072,6.20,224,0.875,bicubic,-52.106,-52.750,+5
gluon_resnet18_v1b,21.549,78.451,38.881,61.119,11.69,224,0.875,bicubic,-49.289,-50.877,+16
fbnetc_100,21.504,78.496,38.150,61.850,5.57,224,0.875,bilinear,-53.612,-54.224,-10
mnasnet_100,21.360,78.640,37.723,62.277,4.38,224,0.875,bicubic,-53.310,-54.379,-3
resnet26,21.295,78.705,38.036,61.964,16.00,224,0.875,bicubic,-53.995,-54.530,-14
ssl_resnet18,21.293,78.707,39.138,60.862,11.69,224,0.875,bilinear,-51.323,-52.278,+6
seresnext26d_32x4d,21.290,78.710,37.326,62.674,16.81,224,0.875,bicubic,-56.296,-56.282,-57
mixnet_s,21.272,78.728,38.207,61.793,4.13,224,0.875,bicubic,-54.722,-54.583,-27
legacy_seresnext26_32x4d,21.075,78.925,37.633,62.367,16.79,224,0.875,bicubic,-56.031,-55.675,-44
regnetx_004,20.908,79.092,37.566,62.434,5.16,224,0.875,bicubic,-51.486,-53.252,+3
spnasnet_100,20.851,79.149,37.910,62.090,4.42,224,0.875,bilinear,-53.229,-53.910,-7
legacy_seresnet18,20.800,79.200,37.621,62.379,11.78,224,0.875,bicubic,-50.936,-52.721,+5
mobilenetv2_100,20.777,79.223,37.788,62.212,3.50,224,0.875,bicubic,-52.173,-53.214,-2
tf_mixnet_s,20.470,79.530,36.641,63.359,4.13,224,0.875,bicubic,-55.212,-55.997,-30
regnety_004,20.429,79.571,37.032,62.968,4.34,224,0.875,bicubic,-53.589,-54.732,-10
hrnet_w18_small,20.370,79.630,37.093,62.907,13.19,224,0.875,bilinear,-51.966,-53.591,-2
tf_mobilenetv3_large_075,20.362,79.638,36.768,63.232,3.99,224,0.875,bilinear,-53.086,-54.574,-10
resnet18,20.234,79.766,37.265,62.735,11.69,224,0.875,bilinear,-49.508,-51.821,+2
tf_mobilenetv3_large_minimal_100,20.122,79.878,36.902,63.098,3.92,224,0.875,bilinear,-52.122,-53.734,-3
regnety_002,17.448,82.552,32.437,67.563,3.16,224,0.875,bicubic,-52.830,-57.109,-1
regnetx_002,16.964,83.036,32.233,67.767,2.68,224,0.875,bicubic,-51.790,-56.327,0
dla60x_c,16.322,83.678,31.775,68.225,1.32,224,0.875,bilinear,-51.590,-56.643,+1
tf_mobilenetv3_small_100,16.224,83.776,31.237,68.763,2.54,224,0.875,bilinear,-51.698,-56.439,-1
tf_mobilenetv3_small_075,14.940,85.060,29.594,70.406,2.04,224,0.875,bilinear,-50.784,-56.540,+1
dla46_c,14.675,85.325,29.372,70.628,1.30,224,0.875,bilinear,-50.195,-56.922,+1
dla46x_c,14.384,85.616,29.193,70.807,1.07,224,0.875,bilinear,-51.592,-57.795,-2
tf_mobilenetv3_small_minimal_100,13.985,86.015,27.992,72.008,2.04,224,0.875,bilinear,-48.925,-56.252,0
inception_v4,1.401,98.599,9.012,90.988,42.68,299,0.875,bicubic,+0.393,-7.842,0
inception_resnet_v2,1.358,98.642,9.460,90.540,55.85,299,0.897,bicubic,+0.408,-7.834,+2
ens_adv_inception_resnet_v2,1.342,98.658,9.768,90.232,55.85,299,0.897,bicubic,+0.344,-7.556,-1
pnasnet5large,1.340,98.660,10.216,89.784,86.06,331,0.911,bicubic,+0.356,-8.360,-1

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 58.832 41.190 41.168 81.076 81.078 18.924 18.922 828.41 224 0.875 bilinear -26.618 -27.616 -16.496 -16.802 +5 +3
3 ig_resnext101_32x32d 58.386 58.411 41.614 41.589 80.381 80.424 19.619 19.576 468.53 224 0.875 bilinear -26.708 -26.739 -17.057 -17.046 +10 +8
4 ig_resnext101_32x16d 57.690 57.675 42.310 42.325 79.905 79.895 20.095 20.105 194.03 224 0.875 bilinear -26.480 -26.528 -17.291 -17.322 +16 +19
5 swsl_resnext101_32x16d 57.458 57.449 42.542 42.551 80.385 80.391 19.615 19.609 194.03 224 0.875 bilinear -25.888 -25.895 -16.461 -16.449 +20 +27
6 swsl_resnext101_32x8d 56.438 43.562 78.944 78.950 21.056 21.050 88.79 224 0.875 bilinear -27.845 -27.944 -18.232 -18.416 +11 +14
7 ig_resnext101_32x8d 54.918 54.927 45.082 45.073 77.534 77.524 22.466 22.476 88.79 224 0.875 bilinear -27.770 -27.769 -19.103 -19.120 +25 +35
8 swsl_resnext101_32x4d 53.603 53.583 46.397 46.417 76.347 76.372 23.653 23.628 44.18 224 0.875 bilinear -29.627 -29.639 -20.413 -20.396 +19 +27
9 tf_efficientnet_l2_ns_475 51.494 51.434 48.506 48.566 73.928 73.841 26.072 26.159 480.31 475 0.936 bicubic -36.740 -32.306 -24.618 -22.929 -6 -8
10 swsl_resnext50_32x4d 50.437 50.412 49.563 49.588 73.368 73.362 26.633 26.638 25.03 224 0.875 bilinear -31.745 -31.760 -22.862 -22.870 +27 +40
11 swsl_resnet50 49.541 49.525 50.459 50.475 72.334 72.354 27.666 27.646 25.56 224 0.875 bilinear -31.625 -31.611 -23.638 -23.620 +46 +58
12 tf_efficientnet_b7_ns tf_efficientnet_b6_ns 47.800 47.729 52.200 52.271 69.640 69.927 30.360 30.073 66.35 43.04 600 528 0.949 0.942 bicubic -39.040 -40.511 -28.454 -28.623 -8 -9
13 tf_efficientnet_b6_ns tf_efficientnet_b7_ns 47.761 47.718 52.239 52.282 69.968 69.604 30.032 30.396 43.04 66.35 528 600 0.942 0.949 bicubic -38.691 -40.632 -27.914 -29.052 -8 -11
14 tf_efficientnet_l2_ns 47.570 47.478 52.430 52.522 70.019 69.919 29.981 30.081 480.31 800 0.960 bicubic -40.782 -36.886 -28.631 -27.121 -12 -14
15 tf_efficientnet_b8_ap 45.774 45.766 54.226 54.234 67.911 67.915 32.089 32.086 87.41 672 0.954 bicubic -39.596 -40.312 -29.383 -29.838 -6 -9
16 tf_efficientnet_b5_ns 45.615 45.603 54.385 54.397 67.842 67.826 32.158 32.174 30.39 456 0.934 bicubic -40.473 -41.225 -29.910 -30.258 -10 -12
17 tf_efficientnet_b4_ns vit_base_resnet50_384 43.450 43.512 56.550 56.488 65.519 66.808 34.481 33.192 19.34 98.95 380 384 0.922 1.000 bicubic -41.713 -41.608 -31.951 -30.442 -7 -5
18 vit_large_patch16_384 tf_efficientnet_b4_ns 43.300 43.444 56.700 56.556 66.454 65.474 33.546 34.526 304.72 19.34 384 380 1.000 0.922 bicubic -41.858 -41.906 -30.902 -31.916 -7 -9
19 tf_efficientnet_b8 vit_large_patch16_384 42.508 43.308 57.492 56.692 64.857 66.453 35.143 33.547 87.41 304.72 672 384 0.954 1.000 bicubic -42.862 -42.066 -32.533 -30.845 -11
20 tf_efficientnet_b7 tf_efficientnet_b8 41.431 42.492 58.569 57.508 63.017 64.867 36.983 35.133 66.35 87.41 600 672 0.949 0.954 bicubic -43.505 -42.931 -34.186 -32.711 -6 -13
21 tf_efficientnet_b7_ap 41.429 41.451 58.571 58.549 62.874 62.898 37.126 37.102 66.35 600 0.949 bicubic -43.691 -43.715 -34.378 -34.464 -9 -11
22 tf_efficientnet_b5_ap tf_efficientnet_b7 41.418 41.447 58.582 58.553 62.084 63.051 37.916 36.949 30.39 66.35 456 600 0.934 0.949 bicubic -42.834 -43.539 -34.890 -34.245 -4 -8
23 tf_efficientnet_b6_ap tf_efficientnet_b5_ap 41.099 41.408 58.901 58.592 62.355 62.098 37.645 37.902 43.04 30.39 528 456 0.942 0.934 bicubic -43.689 -42.862 -34.783 -35.072 -8 -2
24 tf_efficientnet_b4_ap resnetv2_152x4_bitm 40.484 41.235 59.516 58.765 61.723 64.281 38.277 35.719 19.34 936.53 380 480 0.922 1.000 bicubic bilinear -42.764 -43.855 -34.669 -33.159 +2 -11
25 tf_efficientnet_b3_ns tf_efficientnet_b6_ap 39.584 41.113 60.416 58.887 61.453 62.381 38.547 37.619 12.23 43.04 300 528 0.904 0.942 bicubic -44.464 -43.835 -35.457 -35.069 -3 -10
26 tf_efficientnet_b5 vit_large_patch16_224 38.356 40.730 61.644 59.270 59.913 63.584 40.087 36.416 30.39 304.33 456 224 0.934 0.900 bicubic -45.456 -42.330 -36.835 -32.861 -2 +11
27 vit_base_patch16_384 tf_efficientnet_b4_ap 38.099 40.480 61.901 59.520 60.428 61.736 39.572 38.264 86.86 19.34 384 380 1.000 0.922 bicubic -46.111 -42.776 -36.790 -34.658 -8 +6
28 resnest269e tf_efficientnet_b3_ns 37.315 39.511 62.685 60.489 57.468 61.453 42.532 38.547 110.93 12.23 416 300 0.928 0.904 bicubic -47.203 -44.602 -39.518 -35.435 -12 -3
29 tf_efficientnet_b3_ap resnet200d 37.055 38.666 62.945 61.334 57.240 59.144 42.760 40.856 12.23 64.69 300 256 0.904 0.940 bicubic -44.767 -44.576 -38.384 -37.344 +14 +5
30 efficientnet_b3a resnet152d 36.420 38.484 63.580 61.516 56.845 59.209 43.155 40.791 12.23 60.21 320 256 1.000 0.940 bicubic -45.822 -44.650 -39.269 -37.141 +6
31 tf_efficientnet_b2_ns tf_efficientnet_b5 36.183 38.362 63.817 61.638 57.551 59.919 42.449 40.081 9.11 30.39 260 456 0.890 0.934 bicubic -46.197 -45.490 -38.697 -36.971 +3 -3
32 efficientnet_b3 vit_base_patch16_384 36.037 38.128 63.963 61.872 56.370 60.435 43.630 39.565 12.23 86.86 300 384 0.904 1.000 bicubic -46.039 -46.126 -39.650 -36.538 +7 -10
33 ecaresnet101d seresnet152d 36.004 38.044 63.996 61.956 56.165 58.315 43.835 41.685 44.57 66.84 224 256 0.875 0.940 bicubic -46.168 -45.708 -39.881 -38.805 +5 +30
34 resnest200e resnet152d_320 35.931 37.880 64.069 62.120 55.849 58.368 44.151 41.632 70.20 60.21 320 0.909 1.000 bicubic -47.901 -45.785 -41.045 -38.366 -11 -2
35 swsl_resnet18 resnet200d_320 35.858 37.509 64.142 62.491 58.455 58.307 41.545 41.693 11.69 64.69 224 320 0.875 1.000 bilinear bicubic -37.418 -46.535 -33.279 -38.603 +210 -8
36 resnest101e resnest269e 35.373 37.299 64.627 62.701 55.780 57.460 44.220 42.540 48.28 110.93 256 416 0.875 0.928 bilinear bicubic -47.517 -47.635 -40.540 -39.744 -6 -19
37 vit_large_patch32_384 tf_efficientnet_b3_ap 34.673 37.061 65.326 62.939 55.729 57.248 44.271 42.752 306.63 12.23 384 300 1.000 0.904 bicubic -46.833 -44.761 -40.363 -38.372 +13 +19
38 ssl_resnext101_32x16d resnetv2_152x2_bitm 34.605 36.835 65.395 63.165 55.931 59.917 44.069 40.083 194.03 236.34 224 480 0.875 1.000 bilinear -47.239 -47.951 -40.165 -37.221 +4 -20
39 regnety_032 seresnet152d_320 34.383 36.809 65.617 63.191 54.283 56.729 45.717 43.271 19.44 66.84 224 320 0.875 1.000 bicubic -47.619 -47.594 -41.623 -40.705 +2 +18
40 resnest50d_4s2x40d efficientnet_b3a 34.355 36.426 65.645 63.574 54.725 56.843 45.275 43.157 30.42 12.23 224 320 0.875 1.000 bicubic -46.753 -45.828 -40.833 -39.271 +18 +9
41 tf_efficientnet_b1_ns tf_efficientnet_b2_ns 34.157 36.139 65.843 63.861 55.489 57.515 44.511 42.485 7.79 9.11 240 260 0.882 0.890 bicubic -47.231 -46.253 -40.249 -38.723 +12 +5
42 tf_efficientnet_b4 efficientnet_b3 34.064 36.045 65.936 63.955 54.198 56.391 45.802 43.609 19.34 12.23 380 300 0.922 0.904 bicubic -48.958 -46.037 -42.102 -39.635 -13 +11
43 ssl_resnext101_32x8d ecaresnet101d 34.017 36.008 65.983 63.992 55.601 56.199 44.399 43.801 88.79 44.57 224 0.875 bilinear bicubic -47.599 -46.168 -40.437 -39.857 +5 +8
44 tf_efficientnet_b6 resnest200e 33.998 35.941 66.002 64.059 54.544 55.877 45.456 44.123 43.04 70.20 528 320 0.942 0.909 bicubic -50.112 -48.027 -42.342 -40.941 -23 -15
45 efficientnet_b3_pruned swsl_resnet18 33.996 35.852 66.004 64.147 54.108 58.462 45.892 41.538 9.86 11.69 300 224 0.904 0.875 bicubic bilinear -46.862 -37.428 -41.134 -33.295 +20 +211
46 tresnet_xl resnet101d 33.257 35.829 66.743 64.171 52.294 55.385 47.706 44.615 78.44 44.57 224 256 0.875 0.940 bilinear bicubic -48.797 -46.481 -43.642 -40.679 -6 +1
47 resnest50d_1s4x24d vit_base_patch16_224 33.147 35.784 66.853 64.216 52.839 57.388 47.161 42.612 25.68 86.57 224 0.875 0.900 bicubic -47.841 -46.000 -42.483 -38.738 +13 +11
48 rexnet_200 resnest101e 32.987 35.397 67.013 64.603 52.939 55.800 47.061 44.200 16.37 48.28 224 256 0.875 bicubic bilinear -48.645 -47.481 -42.729 -40.514 -1 -5
49 resnest50d resnetv2_101x3_bitm 32.972 35.292 67.028 64.707 52.713 57.885 47.287 42.115 27.48 387.93 224 480 0.875 1.000 bilinear -48.002 -49.234 -42.665 -39.101 +12 -29
50 tf_efficientnet_b3 resnet101d_320 32.860 34.864 67.140 65.136 52.950 54.218 47.050 45.782 12.23 44.57 300 320 0.904 1.000 bicubic -48.776 -48.160 -42.767 -42.238 -4 -8
51 pnasnet5large ssl_resnext101_32x16d 32.848 34.609 67.152 65.391 50.500 55.951 49.500 44.049 86.06 194.03 331 224 0.911 0.875 bicubic bilinear -49.934 -47.229 -45.540 -40.141 -20 +5
52 nasnetalarge regnety_032 32.775 34.402 67.225 65.598 50.141 54.281 49.859 45.719 88.75 19.44 331 224 0.911 0.875 bicubic -49.845 -47.606 -45.906 -41.631 -19 +3
53 inception_resnet_v2 resnest50d_4s2x40d 32.738 34.361 67.262 65.639 50.648 54.733 49.352 45.267 55.84 30.42 299 224 0.897 0.875 bicubic -47.720 -46.753 -44.658 -40.821 +23 +19
54 gluon_resnet152_v1d tf_efficientnet_b1_ns 32.734 34.108 67.266 65.892 51.088 55.462 48.912 44.538 60.21 7.79 224 240 0.875 0.882 bicubic -47.740 -47.278 -44.118 -40.278 +20 +13
55 vit_base_patch16_224 tf_efficientnet_b4 32.722 34.066 67.278 65.934 53.157 54.200 46.843 45.800 86.54 19.34 224 380 0.900 0.922 bicubic -46.626 -48.960 -41.355 -42.098 +66 -14
56 tf_efficientnet_b2_ap ssl_resnext101_32x8d 32.681 34.047 67.319 65.953 52.239 55.596 47.761 44.404 9.11 88.79 260 224 0.890 0.875 bicubic bilinear -47.619 -47.559 -42.789 -40.448 +29 +7
57 tresnet_l tf_efficientnet_b6 32.559 34.037 67.441 65.963 51.139 54.558 48.861 45.442 55.99 43.04 224 528 0.875 0.942 bilinear bicubic -48.931 -50.127 -44.485 -42.636 -6 -31
58 vit_base_patch32_384 efficientnet_b3_pruned 32.461 34.017 67.539 65.983 52.444 54.124 47.556 45.876 88.30 9.86 384 300 1.000 0.904 bicubic -49.191 -46.841 -43.684 -41.116 -13 +21
59 wide_resnet50_2 tresnet_xl 32.439 33.274 67.561 66.726 51.459 52.312 48.541 47.688 68.88 78.44 224 0.875 bicubic bilinear -49.017 -48.780 -44.073 -43.620 -7 -5
60 ens_adv_inception_resnet_v2 resnest50d_1s4x24d 32.370 33.151 67.629 66.849 50.427 52.852 49.573 47.148 55.84 25.68 299 224 0.897 0.875 bicubic -47.611 -47.853 -44.509 -42.474 +37 +14
61 gluon_resnet152_v1s rexnet_200 32.331 32.986 67.669 67.014 50.526 52.947 49.474 47.053 60.32 16.37 224 0.875 bicubic -48.685 -48.641 -44.886 -42.725 -2 +1
62 gluon_seresnext101_64x4d resnest50d 32.205 32.980 67.795 67.020 50.319 52.717 49.681 47.283 88.23 27.48 224 0.875 bicubic bilinear -48.689 -47.978 -44.989 -42.661 +2 +13
63 gluon_seresnext101_32x4d tf_efficientnet_b3 32.107 32.842 67.893 67.158 51.237 52.956 48.763 47.044 48.96 12.23 224 300 0.875 0.904 bicubic -48.797 -48.804 -44.057 -42.766 0 -2
64 seresnext50_32x4d nasnetalarge 31.985 32.775 68.015 67.225 51.231 50.150 48.769 49.850 27.56 88.75 224 331 0.875 0.911 bicubic -49.281 -49.851 -44.389 -45.900 -9 -19
65 cspresnext50 gluon_resnet152_v1d 31.822 32.748 68.178 67.252 51.602 51.080 48.398 48.920 20.57 60.21 224 0.875 bilinear bicubic -48.218 -47.730 -43.342 -44.120 +30 +22
66 resnet50 tf_efficientnet_b2_ap 31.547 32.669 68.453 67.331 50.170 52.247 49.830 47.753 25.56 9.11 224 260 0.875 0.890 bicubic -47.491 -47.633 -44.220 -42.785 +74 +31
67 ssl_resnext101_32x4d tresnet_l 31.423 32.557 68.577 67.443 52.121 51.145 47.879 48.855 44.18 55.99 224 0.875 bilinear -49.501 -48.929 -43.607 -44.475 -5 -2
68 inception_v4 wide_resnet50_2 31.378 32.484 68.622 67.516 49.244 51.463 50.756 48.537 42.68 68.88 299 224 0.875 bicubic -48.790 -48.968 -45.724 -44.059 +22 -2
69 rexnet_150 vit_base_patch32_384 31.366 32.471 68.634 67.529 51.288 52.457 48.712 47.543 9.73 88.30 224 384 0.875 1.000 bicubic -48.944 -49.185 -43.878 -43.673 +14 -9
70 cspresnet50 resnetv2_50x3_bitm 31.270 32.469 68.730 67.531 51.223 54.293 48.777 45.707 21.62 217.32 256 480 0.887 1.000 bilinear -48.304 -51.339 -43.489 -42.453 +44 -39
71 ecaresnetlight gluon_resnet152_v1s 31.121 32.333 68.879 67.667 50.243 50.528 49.757 49.472 30.16 60.32 224 0.875 bicubic -49.341 -48.685 -45.005 -44.892 +4 +2
72 gluon_resnet101_v1s gluon_seresnext101_64x4d 31.115 32.219 68.885 67.781 49.793 50.343 50.207 49.657 44.67 88.23 224 0.875 bicubic -49.187 -48.665 -45.367 -44.971 +12 +5
73 tf_efficientnet_cc_b0_8e gluon_seresnext101_32x4d 31.087 32.115 68.913 67.885 50.761 51.231 49.239 48.769 24.01 48.96 224 0.875 bicubic -46.821 -48.757 -42.892 -44.061 +105 +5
74 ecaresnet50d seresnext50_32x4d 31.058 32.019 68.942 67.981 50.848 51.253 49.152 48.747 25.58 27.56 224 0.875 bicubic -49.534 -49.255 -44.472 -44.365 -3 -5
75 resnet50d cspresnext50 31.020 31.816 68.980 68.184 49.808 51.602 50.192 48.398 25.58 20.57 224 0.875 bicubic bilinear -49.510 -48.230 -45.352 -43.342 -3 +33
76 cspdarknet53 resnet50 31.018 31.571 68.981 68.429 50.390 50.178 49.610 49.822 27.64 25.56 256 224 0.887 0.875 bilinear bicubic -49.040 -47.465 -44.694 -44.214 +18 +75
77 tresnet_m ssl_resnext101_32x4d 30.997 31.463 69.003 68.537 48.682 52.139 51.318 47.861 31.39 44.18 224 0.875 bilinear -49.805 -49.451 -46.178 -43.595 -9 -1
78 gluon_resnet152_v1c rexnet_150 30.991 31.372 69.009 68.628 48.924 51.296 51.076 48.704 60.21 9.73 224 0.875 bicubic -48.919 -48.938 -45.916 -43.866 +22 +17
79 gluon_resnext101_64x4d cspresnet50 30.987 31.264 69.013 68.736 48.549 51.231 51.451 48.769 83.46 21.62 224 256 0.875 0.887 bicubic bilinear -49.617 -48.310 -46.439 -43.477 -9 +47
80 tf_efficientnet_cc_b1_8e gluon_resnet101_v1s 30.899 31.152 69.101 68.848 50.080 49.828 49.920 50.172 39.72 44.67 240 224 0.882 0.875 bicubic -48.409 -49.134 -44.290 -45.332 +44 +18
81 ecaresnet101d_pruned ecaresnetlight 30.897 31.138 69.103 68.862 50.013 50.256 49.987 49.744 24.88 30.16 224 0.875 bicubic -49.921 -49.320 -45.615 -44.994 -15 +8
82 gluon_resnext101_32x4d tf_efficientnet_cc_b0_8e 30.877 31.085 69.123 68.915 48.537 50.771 51.463 49.229 44.18 24.01 224 0.875 bicubic -49.457 -46.823 -46.389 -42.881 -1 +107
83 tf_efficientnet_lite4 ecaresnet50d 30.830 31.079 69.170 68.921 50.386 50.854 49.614 49.146 13.01 25.58 380 224 0.920 0.875 bilinear bicubic -50.706 -49.535 -45.282 -44.454 -34 +1
84 dpn107 resnet50d 30.678 31.036 69.322 68.964 48.810 49.846 51.190 50.154 86.92 25.58 224 0.875 bicubic -49.478 -49.512 -46.100 -45.312 +7 +2
85 ese_vovnet39b cspdarknet53 30.657 31.017 69.343 68.984 49.875 50.406 50.125 49.594 24.57 27.64 224 256 0.875 0.887 bicubic bilinear -48.663 -49.032 -44.837 -44.686 +37 +22
86 gluon_resnet152_v1b gluon_resnet152_v1c 30.623 31.011 69.376 68.989 48.521 48.940 51.479 51.060 60.19 60.21 224 0.875 bicubic -49.063 -48.903 -46.215 -45.908 +24 +25
87 tresnet_xl_448 tresnet_m 30.614 30.999 69.386 69.001 49.069 48.692 50.931 51.308 78.44 31.39 448 224 0.875 bilinear -52.436 -49.805 -47.104 -46.166 -59 -6
88 ssl_resnext50_32x4d gluon_resnext101_64x4d 30.594 30.997 69.406 69.003 50.657 48.555 49.343 51.445 25.03 83.46 224 0.875 bilinear bicubic -49.724 -49.633 -44.749 -46.443 -6 -5
89 gluon_resnet101_v1d ecaresnet101d_pruned 30.523 30.901 69.477 69.099 47.950 50.013 52.050 49.987 44.57 24.88 224 0.875 bicubic -49.891 -49.915 -47.064 -45.625 -11 -9
90 dpn68b gluon_resnext101_32x4d 30.517 30.887 69.483 69.113 49.162 48.559 50.838 51.441 12.61 44.18 224 0.875 bicubic -48.699 -49.447 -45.252 -46.349 +42 +4
91 resnest26d tf_efficientnet_cc_b1_8e 30.490 30.887 69.510 69.113 50.677 50.080 49.323 49.920 17.07 39.72 224 240 0.875 0.882 bilinear bicubic -47.988 -48.439 -43.621 -44.292 +67 +42
92 efficientnet_b2a tf_efficientnet_lite4 30.435 30.849 69.565 69.150 49.698 50.404 50.302 49.596 9.11 13.01 288 380 1.000 0.920 bicubic bilinear -50.177 -50.687 -45.620 -45.256 -23 -28
93 tf_efficientnet_b1_ap ese_vovnet39b 30.421 30.690 69.579 69.310 49.553 49.871 50.447 50.129 7.79 24.57 240 224 0.882 0.875 bicubic -48.859 -48.622 -44.753 -44.851 +35 +42
94 seresnet50 dpn107 30.077 30.673 69.923 69.327 49.292 48.834 50.708 51.166 28.09 86.92 224 0.875 bicubic -50.197 -49.483 -45.778 -46.076 -7 +10
95 dpn98 tresnet_xl_448 30.067 30.622 69.933 69.379 48.244 49.077 51.756 50.923 61.57 78.44 224 448 0.875 bicubic bilinear -49.575 -52.434 -46.354 -47.109 +17 -55
96 tf_efficientnet_b2 gluon_resnet152_v1b 30.026 30.616 69.974 69.384 49.581 48.519 50.419 51.481 9.11 60.19 260 224 0.890 0.875 bicubic -50.060 -49.076 -45.327 -46.215 -3 +26
97 dpn131 ssl_resnext50_32x4d 30.024 30.606 69.976 69.394 48.146 50.691 51.854 49.309 79.25 25.03 224 0.875 bicubic bilinear -49.798 -49.696 -46.564 -44.721 +7 -1
98 legacy_senet154 gluon_resnet101_v1d 30.001 30.535 69.999 69.465 48.034 47.977 51.966 52.023 115.09 44.57 224 0.875 bilinear bicubic -51.309 -49.867 -47.462 -47.043 -44 -7
99 dpn92 dpn68b 29.953 30.517 70.047 69.483 49.162 49.130 50.838 50.870 37.67 12.61 224 0.875 bicubic -50.055 -48.695 -45.674 -45.292 -3 +44
100 gluon_senet154 resnest26d 29.877 30.502 70.123 69.498 47.894 50.677 52.106 49.323 115.09 17.07 224 0.875 bicubic bilinear -51.357 -47.978 -47.454 -43.623 -44 +69
101 xception efficientnet_b2a 29.865 30.441 70.135 69.559 48.686 49.700 51.314 50.300 22.86 9.11 299 288 0.897 1.000 bicubic -49.187 -50.173 -45.706 -45.618 +38 -16
102 adv_inception_v3 tf_efficientnet_b1_ap 29.816 30.417 70.184 69.583 47.847 49.549 52.153 50.451 23.83 7.79 299 240 0.875 0.882 bicubic -47.766 -48.859 -45.889 -44.753 +85 +37
103 gluon_xception65 dpn98 29.784 30.064 70.216 69.936 47.755 48.252 52.245 51.748 39.92 61.57 299 224 0.903 0.875 bicubic -49.932 -49.587 -47.105 -46.354 +6 +21
104 resnetblur50 seresnet50 29.625 30.061 70.375 69.939 48.248 49.329 51.752 50.671 25.56 28.09 224 0.875 bicubic -49.661 -50.197 -46.390 -45.737 +23 -4
105 efficientnet_b2 dpn131 29.615 30.026 70.385 69.974 48.777 48.158 51.223 51.842 9.11 79.25 260 224 0.875 bicubic -50.777 -49.800 -46.299 -46.554 -26 +11
106 efficientnet_em tf_efficientnet_b2 29.486 30.020 70.514 69.980 48.946 49.592 51.054 50.408 6.90 9.11 240 260 0.882 0.890 bicubic -49.766 -50.052 -45.848 -45.312 +23 0
107 resnext101_32x8d legacy_senet154 29.439 29.991 70.561 70.009 48.486 48.046 51.514 51.954 88.79 115.09 224 0.875 bilinear -49.869 -51.335 -46.032 -47.462 +16 -39
108 ssl_resnet50 dpn92 29.423 29.975 70.577 70.025 49.781 49.178 50.219 50.822 25.56 37.67 224 0.875 bilinear bicubic -49.799 -50.015 -45.051 -45.666 +22 +1
109 resnext50_32x4d xception 29.331 29.895 70.669 70.106 47.397 48.732 52.603 51.268 25.03 22.86 224 299 0.875 0.897 bicubic -50.438 -49.152 -47.201 -45.664 -3 +41
110 resnet34d gluon_senet154 29.328 29.890 70.671 70.109 48.409 47.885 51.591 52.115 21.82 115.09 224 0.875 bicubic -47.788 -51.338 -44.973 -47.467 +90 -40
111 ecaresnet50d_pruned adv_inception_v3 29.215 29.814 70.785 70.186 48.453 47.871 51.547 52.129 19.94 23.83 224 299 0.875 bicubic -50.501 -47.768 -46.427 -45.869 -3 +87
112 tresnet_l_448 gluon_xception65 29.165 29.796 70.835 70.204 47.232 47.776 52.768 52.224 55.99 39.92 448 299 0.875 0.903 bilinear bicubic -53.103 -49.906 -48.744 -47.091 -77 +9
113 gluon_inception_v3 resnetblur50 29.122 29.617 70.878 70.383 46.957 48.268 53.043 51.732 23.83 25.56 299 224 0.875 bicubic -49.684 -49.669 -47.413 -46.372 +33 +25
114 xception71 efficientnet_b2 29.047 29.602 70.953 70.398 47.405 48.791 52.595 51.209 42.34 9.11 299 260 0.903 0.875 bicubic -50.826 -50.776 -47.517 -46.287 -12 -22
115 hrnet_w64 efficientnet_em 28.989 29.492 71.011 70.508 47.142 48.948 52.858 51.052 128.06 6.90 224 240 0.875 0.882 bilinear bicubic -50.485 -49.772 -47.510 -45.842 +3 +25
116 tf_efficientnet_b0_ns resnext101_32x8d 28.902 29.433 71.098 70.567 49.011 48.502 50.989 51.498 5.29 88.79 224 0.875 bicubic bilinear -49.756 -49.871 -45.365 -46.024 +37 +21
117 xception65 ssl_resnet50 28.896 29.423 71.104 70.577 47.167 49.761 52.833 50.239 39.92 25.56 299 224 0.903 0.875 bicubic bilinear -50.656 -49.813 -47.487 -45.069 -2 +24
118 tf_efficientnet_b1 resnext50_32x4d 28.886 29.346 71.114 70.654 47.503 47.397 52.497 52.603 7.79 25.03 240 224 0.882 0.875 bicubic -49.940 -50.444 -46.695 -47.209 +27 0
119 gluon_resnet101_v1b resnet34d 28.878 29.321 71.121 70.679 46.389 48.425 53.611 51.575 44.55 21.82 224 0.875 bicubic -50.427 -47.793 -48.135 -44.957 +6 +92
120 skresnext50_32x4d ecaresnet50d_pruned 28.818 29.218 71.182 70.781 46.497 48.458 53.503 51.542 27.48 19.94 224 0.875 bicubic -51.338 -50.494 -48.145 -46.418 -28 0
121 tf_efficientnet_lite3 tresnet_l_448 28.660 29.175 71.340 70.825 47.354 47.256 52.646 52.744 8.20 55.99 300 448 0.904 0.875 bilinear -51.160 -53.085 -47.560 -48.722 -16 -73
122 gluon_seresnext50_32x4d gluon_inception_v3 28.651 29.134 71.349 70.866 46.436 46.963 53.564 53.037 27.56 23.83 224 299 0.875 bicubic -51.267 -49.666 -48.386 -47.417 -24 +35
123 skresnet34 xception71 28.645 29.055 71.355 70.945 47.953 47.441 52.047 52.559 22.28 42.34 224 299 0.875 0.903 bicubic -48.267 -50.829 -45.369 -47.492 +83 -10
124 hrnet_w40 hrnet_w64 28.641 28.996 71.359 71.004 47.454 47.142 52.546 52.858 57.56 128.06 224 0.875 bilinear -50.279 -50.466 -47.016 -47.512 +18 +6
125 tv_resnet152 tf_efficientnet_b0_ns 28.533 28.904 71.467 71.096 47.118 48.991 52.882 51.009 60.19 5.29 224 0.875 bilinear bicubic -49.779 -49.756 -46.920 -45.381 +39
126 hrnet_w48 gluon_resnet101_v1b 28.413 28.900 71.587 71.100 47.586 46.405 52.414 53.595 77.47 44.55 224 0.875 bilinear bicubic -50.887 -50.404 -46.926 -48.125 0 +10
127 gluon_resnext50_32x4d xception65 28.375 28.900 71.624 71.100 45.328 47.173 54.672 52.827 25.03 39.92 224 299 0.875 0.903 bicubic -50.978 -50.650 -49.098 -47.485 -7 0
128 efficientnet_b2_pruned resnetv2_101x1_bitm 28.362 28.886 71.638 71.114 47.051 49.525 52.949 50.475 8.31 44.54 260 480 0.890 1.000 bicubic bilinear -51.554 -53.328 -47.805 -46.947 -29 -78
129 tf_efficientnet_b0_ap tf_efficientnet_b1 28.346 28.873 71.654 71.127 47.531 47.515 52.469 52.485 5.29 7.79 224 240 0.875 0.882 bicubic -48.740 -49.971 -45.725 -46.681 +73 +27
130 tf_efficientnet_cc_b0_4e skresnext50_32x4d 28.315 28.851 71.685 71.149 47.364 46.507 52.636 53.493 13.31 27.48 224 0.875 bicubic -48.991 -51.295 -45.970 -48.133 +64 -25
131 dla102x2 tf_efficientnet_lite3 28.313 28.664 71.687 71.336 46.761 47.374 53.239 52.626 41.28 8.20 224 300 0.875 0.904 bilinear -51.135 -51.162 -47.879 -47.534 -12 -14
132 dla169 gluon_seresnext50_32x4d 28.313 28.653 71.687 71.347 47.391 46.470 52.609 53.530 53.39 27.56 224 0.875 bilinear bicubic -50.375 -51.271 -46.945 -48.352 +19 -22
133 mixnet_xl skresnet34 28.287 28.651 71.713 71.349 46.702 47.967 53.298 52.033 11.90 22.28 224 0.875 bicubic -52.189 -48.279 -48.234 -45.355 -60 +84
134 gluon_resnet50_v1d hrnet_w40 28.246 28.633 71.754 71.367 45.878 47.452 54.122 52.548 25.58 57.56 224 0.875 bicubic bilinear -50.828 -50.299 -48.592 -47.026 +3 +19
135 wide_resnet101_2 tv_resnet152 28.108 28.535 71.892 71.465 46.401 47.126 53.599 52.874 126.89 60.19 224 0.875 bilinear -50.748 -49.785 -47.881 -46.926 +9 +40
136 gluon_resnet101_v1c hrnet_w48 28.104 28.421 71.896 71.579 45.961 47.586 54.039 52.414 44.57 77.47 224 0.875 bicubic bilinear -51.430 -50.895 -48.617 -46.928 -20 -2
137 regnetx_320 gluon_resnext50_32x4d 28.093 28.389 71.907 71.611 45.126 45.359 54.874 54.641 107.81 25.03 224 0.875 bicubic -52.154 -50.965 -49.900 -49.064 -49 -5
138 densenet161 efficientnet_b2_pruned 28.081 28.364 71.919 71.636 46.641 47.059 53.359 52.941 28.68 8.31 224 260 0.875 0.890 bicubic -49.277 -51.542 -46.997 -47.797 +55 -26
139 regnety_320 tf_efficientnet_b0_ap 28.059 28.356 71.941 71.644 45.444 47.535 54.556 52.465 145.05 5.29 224 0.875 bicubic -52.753 -48.746 -49.800 -45.729 -72 +74
140 xception41 tf_efficientnet_cc_b0_4e 27.888 28.346 72.112 71.654 45.890 47.372 54.110 52.628 26.97 13.31 299 224 0.903 0.875 bicubic -50.628 -48.974 -48.388 -45.950 +15 +65
141 regnetx_160 dla169 27.817 28.340 72.183 71.660 45.617 47.397 54.383 52.603 54.28 53.39 224 0.875 bicubic bilinear -52.039 -50.354 -49.213 -46.933 -38 +21
142 tf_inception_v3 dla102x2 27.782 28.326 72.218 71.674 45.721 46.780 54.279 53.220 23.83 41.28 299 224 0.875 bicubic bilinear -50.080 -51.116 -47.919 -47.866 +38 -11
143 res2net101_26w_4s mixnet_xl 27.768 28.285 72.232 71.715 45.179 46.706 54.821 53.294 45.21 11.90 224 0.875 bilinear bicubic -51.430 -52.189 -49.189 -48.228 -10 -55
144 regnety_160 gluon_resnet50_v1d 27.623 28.238 72.377 71.762 45.532 45.923 54.468 54.077 83.59 25.58 224 0.875 bicubic -52.673 -50.826 -49.430 -48.547 -58 +5
145 hrnet_w44 gluon_resnet101_v1c 27.621 28.122 72.379 71.878 45.837 45.998 54.163 54.002 67.06 44.57 224 0.875 bilinear bicubic -51.275 -51.410 -48.531 -48.590 -2 -17
146 inception_v3 wide_resnet101_2 27.556 28.104 72.444 71.896 45.263 46.425 54.737 53.575 23.83 126.89 299 224 0.875 bicubic bilinear -49.882 -50.750 -48.213 -47.857 +45 +9
147 regnetx_080 densenet161 27.405 28.098 72.595 71.902 45.002 46.653 54.998 53.347 39.57 28.68 224 0.875 bicubic -51.789 -49.262 -49.558 -46.981 -12 +57
148 hrnet_w30 regnetx_320 27.381 28.095 72.619 71.906 46.554 45.130 53.446 54.870 37.71 107.81 224 0.875 bilinear bicubic -50.825 -52.159 -47.668 -49.900 +20 -47
149 hrnet_w32 regnety_320 27.369 28.069 72.631 71.931 45.994 45.452 54.006 54.548 41.23 145.05 224 0.875 bilinear bicubic -51.081 -52.729 -48.192 -49.794 +11 -67
150 gluon_resnet50_v1s xception41 27.326 27.894 72.674 72.106 45.222 45.896 54.778 54.104 25.68 26.97 224 299 0.875 0.903 bicubic -51.384 -50.642 -49.016 -48.388 -2 +16
151 densenet201 regnetx_160 27.265 27.829 72.735 72.171 46.222 45.627 53.778 54.373 20.01 54.28 224 0.875 bicubic -50.021 -52.009 -47.256 -49.197 +44 -36
152 densenetblur121d tf_inception_v3 27.228 27.808 72.772 72.192 46.299 45.725 53.701 54.275 8.00 23.83 224 299 0.875 bicubic -49.360 -50.058 -46.893 -47.921 +60 +39
153 regnety_064 res2net101_26w_4s 27.220 27.786 72.780 72.214 44.847 45.194 55.153 54.806 30.58 45.21 224 0.875 bicubic bilinear -52.502 -51.408 -49.921 -49.240 -46 -8
154 efficientnet_b1_pruned hrnet_w44 27.181 27.639 72.819 72.361 45.872 45.837 54.128 54.163 6.33 67.06 240 224 0.882 0.875 bicubic bilinear -51.055 -51.251 -47.962 -48.537 +13 0
155 rexnet_130 regnety_160 27.094 27.605 72.906 72.395 45.933 45.542 54.067 54.458 7.56 83.59 224 0.875 bicubic -52.406 -52.671 -48.749 -49.426 -38 -56
156 vit_small_patch16_224 inception_v3 27.086 27.582 72.914 72.418 45.701 45.263 54.299 54.737 48.75 23.83 224 299 0.900 0.875 bicubic -50.772 -49.882 -47.715 -48.213 +26 +46
157 res2net50_26w_8s regnetx_080 27.078 27.399 72.921 72.601 44.428 44.998 55.572 55.002 48.40 39.57 224 0.875 bilinear bicubic -52.120 -51.813 -50.004 -49.556 -23 -13
158 dla102x hrnet_w32 27.061 27.387 72.939 72.613 45.475 46.026 54.525 53.974 26.31 41.23 224 0.875 bilinear -51.449 -51.059 -48.753 -48.164 -2 +13
159 tv_resnet101 hrnet_w30 26.963 27.379 73.037 72.621 45.234 46.560 54.766 53.440 44.55 37.71 224 0.875 bilinear -50.411 -50.827 -48.306 -47.664 +33 +20
160 resnext50d_32x4d gluon_resnet50_v1s 26.876 27.334 73.124 72.666 44.436 45.257 55.564 54.743 25.05 25.68 224 0.875 bicubic -52.800 -51.366 -50.430 -48.989 -49 +1
161 regnetx_120 densenet201 26.868 27.277 73.132 72.723 44.682 46.212 55.318 53.788 46.11 20.01 224 0.875 bicubic -52.728 -50.013 -50.056 -47.268 -48 +45
162 rexnet_100 densenetblur121d 26.831 27.247 73.169 72.752 45.369 46.322 54.631 53.678 4.80 8.00 224 0.875 bicubic -51.027 -49.338 -48.501 -46.874 +19 +61
163 densenet169 regnety_064 26.829 27.218 73.171 72.782 45.373 44.845 54.627 55.155 14.15 30.58 224 0.875 bicubic -49.077 -52.514 -47.653 -49.919 +55 -44
164 legacy_seresnext101_32x4d efficientnet_b1_pruned 26.811 27.175 73.189 72.825 43.497 45.890 56.503 54.110 48.96 6.33 224 240 0.875 0.882 bilinear bicubic -53.417 -51.073 -51.521 -47.946 -75 +13
165 regnety_120 rexnet_130 26.788 27.110 73.212 72.890 44.454 45.951 55.546 54.049 51.82 7.56 224 0.875 bicubic -53.578 -52.384 -50.672 -48.723 -85 -36
166 regnetx_064 res2net50_26w_8s 26.784 27.096 73.216 72.904 44.927 44.432 55.073 55.568 26.21 48.40 224 0.875 bicubic bilinear -52.288 -52.096 -49.531 -49.936 -28 -20
167 regnetx_032 vit_small_patch16_224 26.703 27.088 73.297 72.912 45.236 45.723 54.764 54.277 15.30 48.75 224 0.875 0.900 bicubic -51.469 -50.766 -48.852 -47.701 +2 +26
168 legacy_seresnet152 dla102x 26.676 27.057 73.324 72.943 43.947 45.507 56.053 54.493 66.82 26.31 224 0.875 bilinear -51.984 -51.453 -50.423 -48.723 -16 -1
169 densenet121 tv_resnet101 26.664 26.976 73.336 73.024 45.900 45.245 54.100 54.755 7.98 44.55 224 0.875 bicubic bilinear -48.914 -50.390 -46.752 -48.310 +53 +34
170 tf_efficientnet_el resnext50d_32x4d 26.623 26.874 73.377 73.126 44.648 44.444 55.352 55.556 10.59 25.05 300 224 0.904 0.875 bicubic -53.817 -52.794 -50.516 -50.422 -93 -47
171 efficientnet_es regnetx_120 26.621 26.870 73.379 73.130 45.112 44.674 54.888 55.326 5.44 46.11 224 0.875 bicubic -51.445 -52.740 -48.814 -50.058 0 -46
172 res2net50_26w_6s rexnet_100 26.595 26.860 73.405 73.140 43.990 45.381 56.010 54.619 37.05 4.80 224 0.875 bilinear bicubic -51.975 -51.002 -50.134 -48.497 -18 +20
173 dla60x densenet169 26.552 26.847 73.448 73.153 45.023 45.409 54.977 54.591 17.35 14.15 224 0.875 bilinear bicubic -51.694 -49.051 -48.994 -47.613 -8 +56
174 regnety_080 regnety_120 26.524 26.811 73.476 73.189 44.359 44.505 55.641 55.495 39.18 51.82 224 0.875 bicubic -53.352 -53.567 -50.471 -50.617 -73 -81
175 tf_efficientnet_b0 legacy_seresnext101_32x4d 26.485 26.805 73.515 73.195 45.646 43.497 54.354 56.503 5.29 48.96 224 0.875 bicubic bilinear -50.363 -53.423 -47.582 -51.523 +32 -73
176 res2net50_14w_8s regnetx_064 26.483 26.799 73.517 73.201 44.371 44.947 55.629 55.053 25.06 26.21 224 0.875 bilinear bicubic -51.667 -52.264 -49.477 -49.513 -6 -28
177 gluon_resnet50_v1b regnetx_032 26.436 26.715 73.564 73.285 44.035 45.259 55.965 54.741 25.56 15.30 224 0.875 bicubic -51.144 -51.433 -49.681 -48.829 +11 +3
178 regnetx_040 legacy_seresnet152 26.243 26.678 73.757 73.322 44.438 43.943 55.562 56.057 22.12 66.82 224 0.875 bicubic bilinear -52.239 -51.988 -49.806 -50.433 -21 -15
179 dpn68 densenet121 26.129 26.666 73.871 73.334 44.228 45.902 55.772 54.098 12.61 7.98 224 0.875 bicubic -50.189 -48.898 -48.750 -46.746 +35 +54
180 hrnet_w18 tf_efficientnet_el 25.986 26.633 74.014 73.368 44.813 44.654 55.187 55.346 21.30 10.59 224 300 0.875 0.904 bilinear bicubic -50.772 -53.816 -48.631 -50.516 +29 -90
181 regnety_040 efficientnet_es 25.923 26.631 74.077 73.370 43.848 45.116 56.152 54.884 20.65 5.44 224 0.875 bicubic -53.297 -51.458 -50.808 -48.816 -50 +1
182 resnet34 res2net50_26w_6s 25.888 26.595 74.112 73.405 43.982 44.000 56.018 56.000 21.80 37.05 224 0.875 bilinear -49.222 -51.971 -48.302 -50.120 +49 -17
183 res2net50_26w_4s dla60x 25.866 26.562 74.134 73.438 43.155 45.049 56.845 54.951 25.70 17.35 224 0.875 bilinear -52.098 -51.688 -50.699 -48.975 -6 -7
184 tresnet_m_448 regnety_080 25.852 26.552 74.148 73.448 42.874 44.377 57.126 55.623 31.39 39.18 448 224 0.875 bilinear bicubic -55.862 -53.318 -52.698 -50.453 -140 -70
185 gluon_resnet50_v1c tf_efficientnet_b0 25.784 26.483 74.216 73.517 43.031 45.656 56.969 54.344 25.58 5.29 224 0.875 bicubic -52.228 -50.365 -50.957 -47.576 -12 +33
186 selecsls60 res2net50_14w_8s 25.729 26.481 74.272 73.519 44.065 44.377 55.935 55.623 30.67 25.06 224 0.875 bicubic bilinear -52.254 -51.657 -49.763 -49.479 -10 -5
187 dla60_res2net gluon_resnet50_v1b 25.652 26.426 74.348 73.574 43.599 44.047 56.401 55.953 20.85 25.56 224 0.875 bilinear bicubic -52.812 -51.152 -50.607 -49.671 -28 +12
188 dla60_res2next regnetx_040 25.640 26.247 74.360 73.753 43.670 44.462 56.330 55.538 17.03 22.12 224 0.875 bilinear bicubic -52.800 -52.237 -50.482 -49.791 -27 -20
189 mixnet_l dpn68 25.512 26.120 74.488 73.880 43.455 44.239 56.545 55.761 7.33 12.61 224 0.875 bicubic -53.464 -50.192 -50.727 -48.729 -48 +37
190 tf_efficientnet_lite1 hrnet_w18 25.499 25.992 74.501 74.008 43.585 44.811 56.415 55.189 5.42 21.30 240 224 0.882 0.875 bicubic bilinear -51.143 -50.772 -49.641 -48.631 +21 +30
191 efficientnet_b1 regnety_040 25.469 25.929 74.531 74.071 43.284 43.858 56.716 56.142 7.79 20.65 240 224 0.875 bicubic -53.229 -53.303 -50.860 -50.786 -41 -49
192 tv_resnext50_32x4d resnet34 25.455 25.892 74.545 74.108 42.787 43.988 57.213 56.012 25.03 21.80 224 0.875 bilinear -52.165 -49.214 -50.909 -48.288 -7 +50
193 tf_mixnet_l res2net50_26w_4s 25.422 25.884 74.578 74.116 42.534 43.180 57.466 56.820 7.33 25.70 224 0.875 bicubic bilinear -53.352 -52.108 -51.464 -50.672 -46 -8
194 res2next50 tresnet_m_448 25.389 25.852 74.611 74.148 42.508 42.883 57.492 57.117 24.67 31.39 224 448 0.875 bilinear -52.857 -55.866 -51.384 -52.683 -28 -135
195 legacy_seresnet101 gluon_resnet50_v1c 25.334 25.788 74.666 74.213 42.825 43.035 57.175 56.965 49.33 25.58 224 0.875 bilinear bicubic -53.048 -52.220 -51.439 -50.953 -32 -11
196 selecsls60b selecsls60 25.332 25.727 74.668 74.273 43.559 44.070 56.441 55.930 32.77 30.67 224 0.875 bicubic -53.080 -52.263 -50.614 -49.758 -34 -10
197 dla102 dla60_res2net 25.316 25.681 74.684 74.319 43.827 43.605 56.173 56.395 33.27 20.85 224 0.875 bilinear -52.716 -52.779 -50.119 -50.601 -25 -27
198 resnest14d dla60_res2next 25.284 25.634 74.716 74.366 44.114 43.679 55.886 56.321 10.61 17.03 224 0.875 bilinear -50.220 -52.810 -48.404 -50.479 +26 -26
199 legacy_seresnext50_32x4d tf_efficientnet_lite1 25.210 25.524 74.790 74.476 41.936 43.601 58.064 56.399 27.56 5.42 224 240 0.875 0.882 bilinear bicubic -53.868 -51.142 -52.500 -49.637 -63 +23
200 res2net50_48w_2s mixnet_l 25.027 25.520 74.973 74.480 42.208 43.481 57.792 56.519 25.29 7.33 224 0.875 bilinear bicubic -52.495 -53.460 -51.346 -50.701 -11 -48
201 efficientnet_b0 tv_resnext50_32x4d 25.015 25.477 74.985 74.523 42.787 42.821 57.213 57.179 5.29 25.03 224 0.875 bicubic bilinear -52.683 -52.137 -50.745 -50.863 -18 -5
202 gluon_resnet34_v1b efficientnet_b1 24.939 25.473 75.061 74.527 42.243 43.296 57.757 56.704 21.80 7.79 224 240 0.875 bicubic -49.649 -53.233 -49.747 -50.858 +37 -42
203 mobilenetv2_120d tf_mixnet_l 24.937 25.438 75.063 74.562 43.058 42.530 56.942 57.470 5.83 7.33 224 0.875 bicubic -52.347 -53.338 -50.434 -51.472 -7 -45
204 dla60 res2next50 24.933 25.406 75.067 74.594 43.296 42.520 56.704 57.480 22.04 24.67 224 0.875 bilinear -52.099 -52.830 -50.022 -51.386 -1 -26
205 regnety_016 legacy_seresnet101 24.811 25.332 75.189 74.668 42.616 42.823 57.384 57.177 11.20 49.33 224 0.875 bicubic bilinear -53.051 -53.048 -51.104 -51.439 -26 -31
206 tf_efficientnet_em dla102 24.542 25.326 75.458 74.674 42.412 43.811 57.588 56.189 6.90 33.27 240 224 0.882 0.875 bicubic bilinear -54.166 -52.704 -51.902 -50.141 -57 -23
207 tf_efficientnet_lite2 selecsls60b 24.530 25.316 75.470 74.684 42.280 43.575 57.720 56.425 6.09 32.77 260 224 0.890 0.875 bicubic -52.938 -53.094 -51.474 -50.603 -17 -34
208 skresnet18 resnest14d 24.483 25.312 75.517 74.688 42.536 44.106 57.464 55.894 11.96 10.61 224 0.875 bicubic bilinear -48.555 -50.202 -48.632 -48.412 +38 +26
209 regnetx_016 legacy_seresnext50_32x4d 24.473 25.227 75.527 74.772 42.514 41.962 57.486 58.038 9.19 27.56 224 0.875 bicubic bilinear -52.477 -53.857 -50.906 -52.472 -5 -62
210 tf_efficientnet_lite0 res2net50_48w_2s 24.373 25.019 75.627 74.981 42.487 42.219 57.513 57.781 4.65 25.29 224 0.875 bicubic bilinear -50.457 -52.515 -49.689 -51.341 +24 -10
211 tv_resnet50 efficientnet_b0 24.070 25.017 75.930 74.983 41.313 42.797 58.687 57.203 25.56 5.29 224 0.875 bilinear bicubic -52.068 -52.689 -51.551 -50.725 +5 -17
212 legacy_seresnet34 gluon_resnet34_v1b 24.027 24.931 75.973 75.069 41.909 42.253 58.091 57.747 21.96 21.80 224 0.875 bilinear bicubic -50.781 -49.657 -50.215 -49.743 +23 +37
213 resnet18d dla60 23.929 24.931 76.071 75.069 42.302 43.310 57.698 56.690 11.71 22.04 224 0.875 bicubic bilinear -48.331 -52.105 -48.394 -50.014 +38 +2
214 efficientnet_lite0 mobilenetv2_120d 23.909 24.927 76.091 75.073 42.088 43.054 57.912 56.946 4.65 5.83 224 0.875 bicubic -51.575 -52.351 -50.422 -50.456 +11 -6
215 tv_densenet121 regnety_016 23.844 24.801 76.156 75.199 41.925 42.620 58.075 57.380 7.98 11.20 224 0.875 bicubic -50.894 -53.067 -50.225 -51.106 +21 -25
216 tf_efficientnet_es tf_efficientnet_em 23.819 24.549 76.181 75.451 41.331 42.418 58.669 57.582 5.44 6.90 224 240 0.875 0.882 bicubic -53.439 -54.163 -52.263 -51.910 -18 -57
217 mobilenetv2_140 tf_efficientnet_lite2 23.712 24.532 76.288 75.468 41.477 42.247 58.523 57.753 6.11 6.09 224 260 0.875 0.890 bicubic -52.804 -52.950 -51.520 -51.501 -4 -16
218 mixnet_m regnetx_016 23.710 24.498 76.290 75.502 41.141 42.520 58.859 57.480 5.01 9.19 224 0.875 bicubic -53.550 -52.448 -52.283 -50.906 -21 -2
219 dla34 skresnet18 23.669 24.483 76.331 75.517 41.551 42.544 58.449 57.456 15.74 11.96 224 0.875 bilinear bicubic -50.961 -48.543 -50.527 -48.628 +19 +38
220 legacy_seresnet50 tf_efficientnet_lite0 23.651 24.396 76.349 75.604 40.091 42.485 59.909 57.515 28.09 4.65 224 0.875 bilinear bicubic -53.978 -50.436 -53.657 -49.689 -36 +25
221 ese_vovnet19b_dw resnetv2_50x1_bitm 23.535 24.227 76.465 75.773 41.288 43.477 58.712 56.523 6.54 25.55 224 480 0.875 1.000 bicubic bilinear -53.263 -55.965 -51.980 -52.153 -13 -118
222 tf_mixnet_m tv_resnet50 23.484 24.078 76.516 75.922 40.989 41.329 59.011 58.671 5.01 25.56 224 0.875 bicubic bilinear -53.458 -52.080 -52.163 -51.549 -17 +5
223 tv_resnet34 legacy_seresnet34 23.473 24.033 76.527 75.967 41.367 41.905 58.633 58.095 21.80 21.96 224 0.875 bilinear -49.839 -50.757 -50.059 -50.221 +21 +23
224 selecsls42b resnet18d 23.357 23.927 76.643 76.073 40.677 42.302 59.323 57.698 32.46 11.71 224 0.875 bicubic -53.817 -48.347 -52.713 -48.386 -25 +38
225 mobilenetv2_110d efficientnet_lite0 23.066 23.919 76.934 76.081 40.716 42.105 59.284 57.895 4.52 4.65 224 0.875 bicubic -51.970 -51.583 -51.470 -50.409 +8 +11
226 mobilenetv3_large_100 tf_efficientnet_es 22.655 23.830 77.345 76.170 40.781 41.325 59.219 58.675 5.48 5.44 224 0.875 bicubic -53.111 -53.454 -51.761 -52.279 -7 -19
227 mobilenetv3_rw tv_densenet121 22.630 23.824 77.370 76.176 40.374 41.925 59.626 58.075 5.48 7.98 224 0.875 bicubic -53.004 -50.918 -52.334 -50.229 -6 +20
228 tf_mobilenetv3_large_100 mobilenetv2_140 22.569 23.701 77.431 76.299 39.767 41.492 60.233 58.508 5.48 6.11 224 0.875 bilinear bicubic -52.949 -52.811 -52.839 -51.506 -5
229 hrnet_w18_small_v2 dla34 22.337 23.701 77.663 76.299 39.861 41.547 60.139 58.453 15.60 15.74 224 0.875 bilinear -52.777 -50.923 -52.555 -50.515 +1 +21
230 regnety_008 mixnet_m 22.119 23.697 77.881 76.303 38.900 41.160 61.100 58.840 6.26 5.01 224 0.875 bicubic -54.197 -53.577 -54.166 -52.262 -15 -21
231 seresnext26tn_32x4d legacy_seresnet50 21.991 23.648 78.009 76.353 38.482 40.103 61.518 59.897 16.81 28.09 224 0.875 bicubic bilinear -55.995 -53.989 -55.264 -53.641 -56 -36
232 seresnext26t_32x4d ese_vovnet19b_dw 21.985 23.543 78.015 76.457 38.570 41.282 61.430 58.718 16.82 6.54 224 0.875 bicubic -56.013 -53.275 -55.138 -51.996 -58 -13
233 regnety_006 tf_mixnet_m 21.971 23.504 78.029 76.496 38.955 40.993 61.045 59.007 6.06 5.01 224 0.875 bicubic -53.275 -53.452 -53.577 -52.171 -5 -18
234 regnetx_008 tv_resnet34 21.940 23.496 78.060 76.504 38.928 41.406 61.072 58.594 7.26 21.80 224 0.875 bicubic bilinear -53.098 -49.808 -53.408 -50.018 -2 +21
235 resnet26d selecsls42b 21.907 23.394 78.094 76.606 38.619 40.665 61.381 59.335 16.01 32.46 224 0.875 bicubic -54.789 -53.790 -54.531 -52.723 -25
236 semnasnet_100 mobilenetv2_110d 21.903 23.072 78.097 76.928 38.600 40.738 61.400 59.262 3.89 4.52 224 0.875 bicubic -53.545 -51.976 -54.004 -51.452 -10 +8
237 regnetx_006 mobilenetv3_large_100 21.738 22.653 78.263 77.347 38.904 40.787 61.096 59.213 6.20 5.48 224 0.875 bicubic -52.115 -53.121 -52.768 -51.751 +5 -7
238 gluon_resnet18_v1b mobilenetv3_rw 21.549 22.632 78.451 77.368 38.869 40.408 61.131 59.592 11.69 5.48 224 0.875 bicubic -49.287 -52.988 -50.893 -52.304 +16 -6
239 fbnetc_100 tf_mobilenetv3_large_100 21.484 22.567 78.516 77.433 38.161 39.751 61.839 60.249 5.57 5.48 224 0.875 bilinear -53.640 -52.943 -54.225 -52.859 -10 -4
240 mnasnet_100 hrnet_w18_small_v2 21.350 22.355 78.650 77.645 37.719 39.897 62.281 60.103 4.38 15.60 224 0.875 bicubic bilinear -53.308 -52.754 -54.395 -52.515 -3 +1
241 resnet26 regnety_008 21.295 22.117 78.705 77.883 38.018 38.926 61.982 61.074 16.00 6.26 224 0.875 bicubic -53.997 -54.203 -54.552 -54.142 -14 -16
242 ssl_resnet18 seresnext26t_32x4d 21.278 22.017 78.722 77.984 39.113 38.588 60.887 61.412 11.69 16.82 224 0.875 bilinear bicubic -51.332 -55.971 -52.303 -55.144 +6 -55
243 mixnet_s seresnext26tn_32x4d 21.254 22.007 78.746 77.993 38.187 38.505 61.813 61.495 4.13 16.81 224 0.875 bicubic -54.738 -55.979 -54.609 -55.239 -26 -55
244 seresnext26d_32x4d regnety_006 21.252 21.975 78.748 78.025 37.311 38.961 62.689 61.039 16.81 6.06 224 0.875 bicubic -56.350 -53.293 -56.297 -53.569 -58 -5
245 legacy_seresnext26_32x4d regnetx_008 21.093 21.960 78.907 78.040 37.633 38.934 62.367 61.066 16.79 7.26 224 0.875 bicubic -56.011 -53.092 -55.683 -53.408 -44 -2
246 regnetx_004 resnet26d 20.898 21.932 79.102 78.068 37.566 38.641 62.434 61.359 5.16 16.01 224 0.875 bicubic -51.498 -54.756 -53.264 -54.505 +3 -25
247 spnasnet_100 semnasnet_100 20.863 21.907 79.137 78.094 37.896 38.604 62.104 61.396 4.42 3.89 224 0.875 bilinear bicubic -53.221 -53.545 -53.922 -54.006 -7 -10
248 legacy_seresnet18 regnetx_006 20.837 21.738 79.162 78.263 37.619 38.928 62.381 61.072 11.78 6.20 224 0.875 bicubic -50.905 -52.106 -52.715 -52.750 +5
249 mobilenetv2_100 gluon_resnet18_v1b 20.773 21.549 79.227 78.451 37.759 38.881 62.241 61.119 3.50 11.69 224 0.875 bicubic -52.197 -49.289 -53.257 -50.877 -2 +16
250 tf_mixnet_s fbnetc_100 20.470 21.504 79.530 78.496 36.607 38.150 63.393 61.850 4.13 5.57 224 0.875 bicubic bilinear -55.180 -53.612 -56.023 -54.224 -30 -10
251 regnety_004 mnasnet_100 20.415 21.360 79.585 78.640 37.002 37.723 62.998 62.277 4.34 4.38 224 0.875 bicubic -53.619 -53.310 -54.750 -54.379 -10 -3
252 hrnet_w18_small resnet26 20.368 21.295 79.632 78.705 37.093 38.036 62.907 61.964 13.19 16.00 224 0.875 bilinear bicubic -51.974 -53.995 -53.585 -54.530 -2 -14
253 tf_mobilenetv3_large_075 ssl_resnet18 20.366 21.293 79.634 78.707 36.764 39.138 63.236 60.862 3.99 11.69 224 0.875 bilinear -53.072 -51.323 -54.586 -52.278 -10 +6
254 resnet18 seresnext26d_32x4d 20.228 21.290 79.772 78.710 37.261 37.326 62.739 62.674 11.69 16.81 224 0.875 bilinear bicubic -49.520 -56.296 -51.816 -56.282 +2 -57
255 tf_mobilenetv3_large_minimal_100 mixnet_s 20.122 21.272 79.878 78.728 36.908 38.207 63.092 61.793 3.92 4.13 224 0.875 bilinear bicubic -52.126 -54.722 -53.722 -54.583 -3 -27
256 regnety_002 legacy_seresnext26_32x4d 17.450 21.075 82.550 78.925 32.431 37.633 67.569 62.367 3.16 16.79 224 0.875 bicubic -52.802 -56.031 -57.109 -55.675 -1 -44
257 regnetx_002 regnetx_004 16.962 20.908 83.038 79.092 32.225 37.566 67.775 62.434 2.68 5.16 224 0.875 bicubic -51.800 -51.486 -56.331 -53.252 0 +3
258 dla60x_c spnasnet_100 16.310 20.851 83.690 79.149 31.761 37.910 68.239 62.090 1.32 4.42 224 0.875 bilinear -51.582 -53.229 -56.665 -53.910 +1 -7
259 tf_mobilenetv3_small_100 legacy_seresnet18 16.226 20.800 83.775 79.200 31.223 37.621 68.777 62.379 2.54 11.78 224 0.875 bilinear bicubic -51.697 -50.936 -56.441 -52.721 -1 +5
260 tf_mobilenetv3_small_075 mobilenetv2_100 14.944 20.777 85.056 79.223 29.572 37.788 70.428 62.212 2.04 3.50 224 0.875 bilinear bicubic -50.772 -52.173 -56.558 -53.214 +1 -2
261 dla46_c tf_mixnet_s 14.657 20.470 85.343 79.530 29.380 36.641 70.620 63.359 1.30 4.13 224 0.875 bilinear bicubic -50.209 -55.212 -56.912 -55.997 +1 -30
262 dla46x_c regnety_004 14.382 20.429 85.618 79.571 29.191 37.032 70.809 62.968 1.07 4.34 224 0.875 bilinear bicubic -51.588 -53.589 -57.789 -54.732 -2 -10
263 tf_mobilenetv3_small_minimal_100 hrnet_w18_small 13.964 20.370 86.036 79.630 27.988 37.093 72.012 62.907 2.04 13.19 224 0.875 bilinear -48.942 -51.966 -56.242 -53.591 0 -2
264 tf_mobilenetv3_large_075 20.362 79.638 36.768 63.232 3.99 224 0.875 bilinear -53.086 -54.574 -10
265 resnet18 20.234 79.766 37.265 62.735 11.69 224 0.875 bilinear -49.508 -51.821 +2
266 tf_mobilenetv3_large_minimal_100 20.122 79.878 36.902 63.098 3.92 224 0.875 bilinear -52.122 -53.734 -3
267 regnety_002 17.448 82.552 32.437 67.563 3.16 224 0.875 bicubic -52.830 -57.109 -1
268 regnetx_002 16.964 83.036 32.233 67.767 2.68 224 0.875 bicubic -51.790 -56.327 0
269 dla60x_c 16.322 83.678 31.775 68.225 1.32 224 0.875 bilinear -51.590 -56.643 +1
270 tf_mobilenetv3_small_100 16.224 83.776 31.237 68.763 2.54 224 0.875 bilinear -51.698 -56.439 -1
271 tf_mobilenetv3_small_075 14.940 85.060 29.594 70.406 2.04 224 0.875 bilinear -50.784 -56.540 +1
272 dla46_c 14.675 85.325 29.372 70.628 1.30 224 0.875 bilinear -50.195 -56.922 +1
273 dla46x_c 14.384 85.616 29.193 70.807 1.07 224 0.875 bilinear -51.592 -57.795 -2
274 tf_mobilenetv3_small_minimal_100 13.985 86.015 27.992 72.008 2.04 224 0.875 bilinear -48.925 -56.252 0
275 inception_v4 1.401 98.599 9.012 90.988 42.68 299 0.875 bicubic +0.393 -7.842 0
276 inception_resnet_v2 1.358 98.642 9.460 90.540 55.85 299 0.897 bicubic +0.408 -7.834 +2
277 ens_adv_inception_resnet_v2 1.342 98.658 9.768 90.232 55.85 299 0.897 bicubic +0.344 -7.556 -1
278 pnasnet5large 1.340 98.660 10.216 89.784 86.06 331 0.911 bicubic +0.356 -8.360 -1

4
setup.cfg
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@ -0,0 +1,4 @@
[dist_conda]
conda_name_differences = 'torch:pytorch'
channels = pytorch

2
timm/data/parsers/parser_image_folder.py
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@ -12,7 +12,7 @@ from .constants import IMG_EXTENSIONS
def find_images_and_targets(folder, types=IMG_EXTENSIONS, class_to_idx=None, leaf_name_only=True, sort=True):
labels = []
filenames = []
for root, subdirs, files in os.walk(folder, topdown=False):
for root, subdirs, files in os.walk(folder, topdown=False, followlinks=True):
rel_path = os.path.relpath(root, folder) if (root != folder) else ''
label = os.path.basename(rel_path) if leaf_name_only else rel_path.replace(os.path.sep, '_')
for f in files:

4
timm/data/tf_preprocessing.py
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@ -22,10 +22,6 @@ Hacked together by / Copyright 2020 Ross Wightman
# limitations under the License.
# ==============================================================================
"""ImageNet preprocessing for MnasNet."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
import numpy as np

4
timm/models/dpn.py
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@ -6,10 +6,6 @@ This implementation is compatible with the pretrained weights from cypw's MXNet
Hacked together by / Copyright 2020 Ross Wightman
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from collections import OrderedDict
from typing import Tuple

37
timm/models/resnet.py
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@ -59,10 +59,16 @@ default_cfgs = {
'resnet101d': _cfg(
url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/resnet101d_ra2-2803ffab.pth',
interpolation='bicubic', first_conv='conv1.0', input_size=(3, 256, 256), crop_pct=0.94, pool_size=(8, 8)),
'resnet101d_320': _cfg(
url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/resnet101d_ra2-2803ffab.pth',
interpolation='bicubic', first_conv='conv1.0', input_size=(3, 320, 320), crop_pct=1.0, pool_size=(10, 10)),
'resnet152': _cfg(url='', interpolation='bicubic'),
'resnet152d': _cfg(
url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/resnet152d_ra2-5cac0439.pth',
interpolation='bicubic', first_conv='conv1.0', input_size=(3, 256, 256), crop_pct=0.94, pool_size=(8, 8)),
'resnet152d_320': _cfg(
url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/resnet152d_ra2-5cac0439.pth',
interpolation='bicubic', first_conv='conv1.0', input_size=(3, 320, 320), crop_pct=1.0, pool_size=(10, 10)),
'resnet200': _cfg(url='', interpolation='bicubic'),
'resnet200d': _cfg(
url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/resnet200d_ra2-bdba9bf9.pth',
@ -151,8 +157,12 @@ default_cfgs = {
url='',
interpolation='bicubic'),
'seresnet152d': _cfg(
url='',
url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/seresnet152d_ra2-04464dd2.pth',
interpolation='bicubic', first_conv='conv1.0', input_size=(3, 256, 256), crop_pct=0.94, pool_size=(8, 8)),
'seresnet152d_320': _cfg(
url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/seresnet152d_ra2-04464dd2.pth',
interpolation='bicubic', first_conv='conv1.0', input_size=(3, 320, 320), crop_pct=1.0, pool_size=(10, 10)),
# Squeeze-Excitation ResNeXts, to eventually replace the models in senet.py
'seresnext26_32x4d': _cfg(
@ -710,6 +720,14 @@ def resnet101d(pretrained=False, **kwargs):
return _create_resnet('resnet101d', pretrained, **model_args)
@register_model
def resnet101d_320(pretrained=False, **kwargs):
"""Constructs a ResNet-101-D model.
"""
model_args = dict(block=Bottleneck, layers=[3, 4, 23, 3], stem_width=32, stem_type='deep', avg_down=True, **kwargs)
return _create_resnet('resnet101d_320', pretrained, **model_args)
@register_model
def resnet152(pretrained=False, **kwargs):
"""Constructs a ResNet-152 model.
@ -727,6 +745,15 @@ def resnet152d(pretrained=False, **kwargs):
return _create_resnet('resnet152d', pretrained, **model_args)
@register_model
def resnet152d_320(pretrained=False, **kwargs):
"""Constructs a ResNet-152-D model.
"""
model_args = dict(
block=Bottleneck, layers=[3, 8, 36, 3], stem_width=32, stem_type='deep', avg_down=True, **kwargs)
return _create_resnet('resnet152d_320', pretrained, **model_args)
@register_model
def resnet200(pretrained=False, **kwargs):
"""Constructs a ResNet-200 model.
@ -1171,6 +1198,14 @@ def seresnet152d(pretrained=False, **kwargs):
return _create_resnet('seresnet152d', pretrained, **model_args)
@register_model
def seresnet152d_320(pretrained=False, **kwargs):
model_args = dict(
block=Bottleneck, layers=[3, 8, 36, 3], stem_width=32, stem_type='deep', avg_down=True,
block_args=dict(attn_layer='se'), **kwargs)
return _create_resnet('seresnet152d_320', pretrained, **model_args)
@register_model
def seresnext26_32x4d(pretrained=False, **kwargs):
model_args = dict(

2
timm/version.py
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@ -1 +1 @@
__version__ = '0.3.2'
__version__ = '0.3.3'

2
train.py
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@ -82,6 +82,8 @@ parser.add_argument('--gp', default=None, type=str, metavar='POOL',
help='Global pool type, one of (fast, avg, max, avgmax, avgmaxc). Model default if None.')
parser.add_argument('--img-size', type=int, default=None, metavar='N',
help='Image patch size (default: None => model default)')
parser.add_argument('--input-size', default=None, nargs=3, type=int,
metavar='N N N', help='Input all image dimensions (d h w, e.g. --input-size 3 224 224), uses model default if empty')
parser.add_argument('--crop-pct', default=None, type=float,
metavar='N', help='Input image center crop percent (for validation only)')
parser.add_argument('--mean', type=float, nargs='+', default=None, metavar='MEAN',

2
validate.py
Unescape View File

@ -52,6 +52,8 @@ parser.add_argument('-b', '--batch-size', default=256, type=int,
metavar='N', help='mini-batch size (default: 256)')
parser.add_argument('--img-size', default=None, type=int,
metavar='N', help='Input image dimension, uses model default if empty')
parser.add_argument('--input-size', default=None, nargs=3, type=int,
metavar='N N N', help='Input all image dimensions (d h w, e.g. --input-size 3 224 224), uses model default if empty')
parser.add_argument('--crop-pct', default=None, type=float,
metavar='N', help='Input image center crop pct')
parser.add_argument('--mean', type=float, nargs='+', default=None, metavar='MEAN',

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