pytorch-image-models/results/results-sketch.csv

1	model	top1	top1_err	top5	top5_err	param_count	img_size	cropt_pct	interpolation	top1_diff	top5_diff	rank_diff
2	ig_resnext101_32x48d	58.810	41.190	81.076	18.924	828.41	224	0.875	bilinear	-26.618	-16.496	+18
3	ig_resnext101_32x32d	58.386	41.614	80.381	19.619	468.53	224	0.875	bilinear	-26.708	-17.057	+25
4	ig_resnext101_32x16d	57.690	42.310	79.905	20.095	194.03	224	0.875	bilinear	-26.480	-17.291	+47
5	swsl_resnext101_32x16d	57.458	42.542	80.385	19.615	194.03	224	0.875	bilinear	-25.888	-16.461	+66
6	swsl_resnext101_32x8d	56.438	43.562	78.944	21.056	88.79	224	0.875	bilinear	-27.846	-18.232	+41
7	ig_resnext101_32x8d	54.918	45.082	77.534	22.466	88.79	224	0.875	bilinear	-27.770	-19.102	+82
8	swsl_resnext101_32x4d	53.603	46.397	76.347	23.653	44.18	224	0.875	bilinear	-29.627	-20.413	+66
9	tf_efficientnet_l2_ns_475	51.494	48.506	73.928	26.072	480.31	475	0.936	bicubic	-36.740	-24.618	-6
10	swsl_resnext50_32x4d	50.437	49.563	73.368	26.633	25.03	224	0.875	bilinear	-31.745	-22.862	+95
11	swin_large_patch4_window12_384	50.404	49.596	72.564	27.436	196.74	384	1.000	bicubic	-36.744	-25.670	-7
12	swsl_resnet50	49.541	50.459	72.334	27.666	25.56	224	0.875	bilinear	-31.625	-23.638	+125
13	swin_large_patch4_window7_224	48.991	51.009	71.391	28.609	196.53	224	0.900	bicubic	-37.329	-26.505	-4
14	swin_base_patch4_window12_384	48.553	51.447	71.813	28.187	87.90	384	1.000	bicubic	-37.879	-26.245	-6
15	tf_efficientnet_b7_ns	47.800	52.200	69.640	30.360	66.35	600	0.949	bicubic	-39.040	-28.454	-10
16	tf_efficientnet_b6_ns	47.761	52.239	69.968	30.032	43.04	528	0.942	bicubic	-38.691	-27.914	-9
17	tf_efficientnet_l2_ns	47.570	52.430	70.019	29.981	480.31	800	0.960	bicubic	-40.782	-28.631	-15
18	tf_efficientnetv2_l_in21ft1k	46.939	53.061	70.310	29.690	118.52	480	1.000	bicubic	-39.365	-27.668	-8
19	tf_efficientnet_b8_ap	45.774	54.226	67.911	32.089	87.41	672	0.954	bicubic	-39.596	-29.383	+4
20	tf_efficientnet_b5_ns	45.615	54.385	67.842	32.158	30.39	456	0.934	bicubic	-40.473	-29.910	-8
21	tf_efficientnetv2_m_in21ft1k	45.582	54.418	69.150	30.849	54.14	480	1.000	bicubic	-40.006	-28.602	-5
22	swin_base_patch4_window7_224	45.560	54.440	68.512	31.488	87.77	224	0.900	bicubic	-39.692	-29.050	+2
23	cait_m48_448	44.245	55.755	64.653	35.347	356.46	448	1.000	bicubic	-42.239	-33.102	-17
24	vit_base_r50_s16_384	43.512	56.488	66.781	33.219	98.95	384	1.000	bicubic	-41.460	-30.507	+10
25	tf_efficientnet_b4_ns	43.450	56.550	65.519	34.481	19.34	380	0.922	bicubic	-41.713	-31.951	0
26	vit_large_patch16_384	43.300	56.700	66.454	33.546	304.72	384	1.000	bicubic	-41.858	-30.902	0
27	tf_efficientnet_b8	42.508	57.492	64.857	35.143	87.41	672	0.954	bicubic	-42.862	-32.533	-5
28	cait_m36_384	42.398	57.602	63.324	36.676	271.22	384	1.000	bicubic	-43.656	-34.406	-15
29	dm_nfnet_f6	41.593	58.407	63.192	36.808	438.36	576	0.956	bicubic	-44.704	-34.552	-18
30	tf_efficientnet_b7	41.431	58.569	63.017	36.983	66.35	600	0.949	bicubic	-43.505	-34.186	+5
31	tf_efficientnet_b7_ap	41.429	58.571	62.874	37.126	66.35	600	0.949	bicubic	-43.691	-34.378	-4
32	tf_efficientnet_b5_ap	41.418	58.582	62.084	37.916	30.39	456	0.934	bicubic	-42.834	-34.890	+17
33	resnetv2_152x4_bitm	41.241	58.759	64.238	35.762	936.53	480	1.000	bilinear	-43.691	-33.198	+3
34	tf_efficientnet_b6_ap	41.099	58.901	62.355	37.645	43.04	528	0.942	bicubic	-43.689	-34.783	+4
35	dm_nfnet_f5	41.003	58.997	61.911	38.089	377.21	544	0.954	bicubic	-44.711	-35.531	-21
36	tf_efficientnetv2_s_in21ft1k	40.950	59.050	63.849	36.151	21.46	384	1.000	bicubic	-43.352	-33.403	+10
37	dm_nfnet_f3	40.920	59.080	61.949	38.051	254.92	416	0.940	bicubic	-44.640	-35.457	-20
38	vit_large_patch16_224	40.732	59.268	63.593	36.407	304.33	224	0.900	bicubic	-42.330	-32.845	+42
39	tf_efficientnet_b4_ap	40.484	59.516	61.723	38.277	19.34	380	0.922	bicubic	-42.764	-34.669	+34
40	vit_base_patch16_224_miil	40.168	59.832	60.887	39.113	86.54	224	0.875	bilinear	-44.100	-35.915	+8
41	tf_efficientnetv2_l	39.830	60.170	60.801	39.199	118.52	480	1.000	bicubic	-45.660	-36.571	-23
42	cait_s36_384	39.765	60.235	60.475	39.525	68.37	384	1.000	bicubic	-45.695	-37.005	-23
43	efficientnetv2_rw_m	39.667	60.333	59.687	40.313	53.24	416	1.000	bicubic	-45.141	-37.461	-6
44	ecaresnet269d	39.594	60.406	60.343	39.657	102.09	352	1.000	bicubic	-45.382	-36.883	-11
45	tf_efficientnet_b3_ns	39.584	60.416	61.453	38.547	12.23	300	0.904	bicubic	-44.464	-35.457	+11
46	dm_nfnet_f4	39.474	60.526	60.420	39.580	316.07	512	0.951	bicubic	-46.184	-37.090	-31
47	efficientnet_b4	39.079	60.921	59.608	40.392	19.34	384	1.000	bicubic	-44.349	-36.988	+22
48	tf_efficientnet_b5	38.356	61.644	59.913	40.087	30.39	456	0.934	bicubic	-45.456	-36.835	+13
49	vit_deit_base_distilled_patch16_384	38.260	61.740	57.783	42.217	87.63	384	1.000	bicubic	-47.162	-39.549	-28
50	vit_base_patch16_384	38.099	61.901	60.428	39.572	86.86	384	1.000	bicubic	-46.111	-36.790	0
51	cait_s24_384	37.873	62.127	58.079	41.921	47.06	384	1.000	bicubic	-47.173	-39.267	-22
52	resnet152d	37.857	62.143	58.356	41.644	60.21	320	1.000	bicubic	-45.823	-38.382	+14
53	tf_efficientnetv2_m	37.824	62.176	58.710	41.290	54.14	480	1.000	bicubic	-47.220	-38.568	-23
54	resnetrs420	37.747	62.253	58.215	41.785	191.89	416	1.000	bicubic	-47.261	-38.909	-23
55	resnetrs350	37.676	62.324	58.083	41.917	163.96	384	1.000	bicubic	-47.044	-38.905	-16
56	pit_b_distilled_224	37.590	62.410	57.238	42.762	74.79	224	0.900	bicubic	-46.554	-39.618	-4
57	resnet200d	37.505	62.495	58.297	41.703	64.69	320	1.000	bicubic	-46.457	-38.526	+1
58	resnest269e	37.315	62.685	57.468	42.532	110.93	416	0.928	bicubic	-47.203	-39.518	-17
59	cait_s24_224	37.153	62.847	56.724	43.276	46.92	224	1.000	bicubic	-46.299	-39.840	+9
60	tf_efficientnet_b3_ap	37.055	62.945	57.240	42.760	12.23	300	0.904	bicubic	-44.767	-38.384	+53
61	efficientnetv2_rw_s	37.049	62.951	56.814	43.186	23.94	384	1.000	bicubic	-46.759	-39.910	+1
62	resnetv2_152x2_bitm	36.847	63.153	59.899	40.101	236.34	480	1.000	bilinear	-47.593	-37.547	-20
63	seresnet152d	36.790	63.210	56.718	43.282	66.84	320	1.000	bicubic	-47.572	-40.322	-18
64	resnetrs200	36.639	63.361	56.828	43.172	93.21	320	1.000	bicubic	-47.427	-40.046	-10
65	efficientnet_b3	36.420	63.580	56.845	43.155	12.23	320	1.000	bicubic	-45.822	-39.269	+37
66	cait_xs24_384	36.416	63.584	56.944	43.056	26.67	384	1.000	bicubic	-47.645	-39.945	-11
67	vit_deit_base_distilled_patch16_224	36.397	63.603	56.617	43.383	87.34	224	0.900	bicubic	-46.991	-39.871	+3
68	resnetrs270	36.320	63.680	56.562	43.438	129.86	352	1.000	bicubic	-48.114	-40.408	-25
69	tresnet_m	36.285	63.715	55.796	44.204	31.39	224	0.875	bilinear	-46.795	-40.322	+10
70	mixer_b16_224_miil	36.269	63.731	55.965	44.035	59.88	224	0.875	bilinear	-46.039	-39.751	+28
71	dm_nfnet_f2	36.257	63.743	55.847	44.153	193.78	352	0.920	bicubic	-48.733	-41.297	-39
72	tf_efficientnet_b2_ns	36.183	63.817	57.551	42.449	9.11	260	0.890	bicubic	-46.197	-38.697	+22
73	ecaresnet101d	36.004	63.996	56.165	43.835	44.57	224	0.875	bicubic	-46.168	-39.881	+33
74	resnest200e	35.931	64.069	55.849	44.151	70.20	320	0.909	bicubic	-47.901	-41.045	-14
75	swsl_resnet18	35.858	64.142	58.455	41.545	11.69	224	0.875	bilinear	-37.418	-33.279	+292
76	eca_nfnet_l1	35.856	64.144	55.955	44.045	41.41	320	1.000	bicubic	-48.151	-41.073	-19
77	vit_base_patch16_224	35.768	64.232	57.390	42.610	86.57	224	0.900	bicubic	-46.018	-38.732	+37
78	resnest101e	35.373	64.627	55.780	44.220	48.28	256	0.875	bilinear	-47.517	-40.540	+6
79	convit_base	35.314	64.686	54.927	45.073	86.54	224	0.875	bicubic	-46.976	-41.011	+20
80	resnetv2_101x3_bitm	35.261	64.739	57.851	42.149	387.93	480	1.000	bilinear	-49.133	-39.511	-36
81	dm_nfnet_f1	35.192	64.808	54.413	45.587	132.63	320	0.910	bicubic	-49.412	-42.655	-41
82	twins_svt_large	35.086	64.914	54.721	45.279	99.27	224	0.900	bicubic	-48.592	-41.873	-15
83	repvgg_b3	35.043	64.957	54.542	45.458	123.09	224	0.875	bilinear	-45.449	-40.718	+74
84	repvgg_b3g4	35.043	64.957	54.772	45.228	83.83	224	0.875	bilinear	-45.171	-40.338	+90
85	resnet101d	34.872	65.128	54.202	45.798	44.57	320	1.000	bicubic	-48.150	-42.244	-3
86	vit_large_patch32_384	34.673	65.326	55.729	44.271	306.63	384	1.000	bicubic	-46.833	-40.363	+38
87	dm_nfnet_f0	34.642	65.358	54.762	45.238	71.49	256	0.900	bicubic	-48.700	-41.798	-15
88	ssl_resnext101_32x16d	34.605	65.395	55.931	44.069	194.03	224	0.875	bilinear	-47.239	-40.165	+24
89	repvgg_b2g4	34.587	65.413	54.782	45.218	61.76	224	0.875	bilinear	-44.779	-39.906	+124
90	resnest50d_4s2x40d	34.355	65.645	54.725	45.275	30.42	224	0.875	bicubic	-46.753	-40.833	+48
91	resnetrs152	34.355	65.645	53.562	46.438	86.62	320	1.000	bicubic	-49.357	-43.052	-27
92	tf_efficientnet_b1_ns	34.157	65.843	55.489	44.511	7.79	240	0.882	bicubic	-47.231	-40.249	+36
93	twins_pcpvt_large	34.111	65.888	54.128	45.872	60.99	224	0.900	bicubic	-49.029	-42.470	-17
94	tf_efficientnet_b4	34.064	65.936	54.198	45.802	19.34	380	0.922	bicubic	-48.958	-42.102	-11
95	nfnet_l0	34.029	65.971	54.418	45.582	35.07	288	1.000	bicubic	-48.731	-42.080	-9
96	ssl_resnext101_32x8d	34.017	65.983	55.601	44.399	88.79	224	0.875	bilinear	-47.599	-40.437	+24
97	tf_efficientnet_b6	33.998	66.002	54.544	45.456	43.04	528	0.942	bicubic	-50.112	-42.342	-44
98	efficientnet_b3_pruned	33.996	66.004	54.108	45.892	9.86	300	0.904	bicubic	-46.862	-41.134	+50
99	regnety_160	33.976	66.024	53.546	46.454	83.59	288	1.000	bicubic	-49.710	-43.230	-34
100	pit_s_distilled_224	33.939	66.061	53.265	46.735	24.04	224	0.900	bicubic	-48.057	-42.533	+10
101	resnet51q	33.563	66.437	53.021	46.979	35.70	288	1.000	bilinear	-48.797	-43.159	-6
102	regnety_032	33.412	66.588	52.754	47.246	19.44	288	1.000	bicubic	-49.312	-43.670	-15
103	gernet_l	33.357	66.643	51.901	48.099	31.08	256	0.875	bilinear	-47.997	-43.635	+27
104	tresnet_xl	33.257	66.743	52.294	47.706	78.44	224	0.875	bilinear	-48.797	-43.642	+4
105	resnest50d_1s4x24d	33.147	66.853	52.839	47.161	25.68	224	0.875	bicubic	-47.841	-42.483	+37
106	twins_pcpvt_base	33.021	66.979	52.485	47.515	43.83	224	0.900	bicubic	-49.687	-43.861	-18
107	rexnet_200	32.987	67.013	52.939	47.061	16.37	224	0.875	bicubic	-48.645	-42.729	+12
108	resnest50d	32.972	67.028	52.713	47.287	27.48	224	0.875	bilinear	-48.002	-42.665	+35
109	tf_efficientnetv2_s	32.915	67.085	51.726	48.274	21.46	384	1.000	bicubic	-50.979	-44.972	-50
110	convit_small	32.913	67.087	52.123	47.877	27.78	224	0.875	bicubic	-48.513	-43.621	+17
111	tf_efficientnet_b3	32.860	67.140	52.950	47.050	12.23	300	0.904	bicubic	-48.776	-42.768	+7
112	pnasnet5large	32.848	67.152	50.500	49.500	86.06	331	0.911	bicubic	-49.934	-45.540	-27
113	twins_svt_base	32.836	67.164	51.559	48.441	56.07	224	0.900	bicubic	-50.300	-44.859	-36
114	nasnetalarge	32.775	67.225	50.141	49.859	88.75	331	0.911	bicubic	-49.845	-45.906	-24
115	gernet_m	32.740	67.260	51.913	48.087	21.14	224	0.875	bilinear	-47.992	-43.271	+36
116	inception_resnet_v2	32.738	67.262	50.648	49.352	55.84	299	0.897	bicubic	-47.720	-44.658	+45
117	gluon_resnet152_v1d	32.734	67.266	51.088	48.912	60.21	224	0.875	bicubic	-47.740	-44.118	+42
118	pit_b_224	32.718	67.282	49.852	50.148	73.76	224	0.900	bicubic	-49.728	-45.858	-25
119	tf_efficientnet_b2_ap	32.681	67.319	52.239	47.761	9.11	260	0.890	bicubic	-47.619	-42.789	+50
120	tresnet_l	32.559	67.441	51.139	48.861	55.99	224	0.875	bilinear	-48.931	-44.485	+5
121	cait_xxs36_384	32.549	67.451	52.233	47.767	17.37	384	1.000	bicubic	-49.645	-43.915	-17
122	vit_base_patch32_384	32.461	67.539	52.444	47.556	88.30	384	1.000	bicubic	-49.191	-43.684	-5
123	wide_resnet50_2	32.439	67.561	51.459	48.541	68.88	224	0.875	bicubic	-49.017	-44.073	+3
124	resnetv2_50x3_bitm	32.410	67.590	54.314	45.686	217.32	480	1.000	bilinear	-51.374	-42.792	-61
125	ens_adv_inception_resnet_v2	32.370	67.629	50.427	49.573	55.84	299	0.897	bicubic	-47.611	-44.509	+59
126	vit_deit_base_patch16_224	32.363	67.637	51.011	48.989	86.57	224	0.900	bicubic	-49.635	-44.723	-17
127	swin_small_patch4_window7_224	32.341	67.659	50.905	49.095	49.61	224	0.900	bicubic	-50.871	-45.417	-52
128	gluon_resnet152_v1s	32.331	67.669	50.526	49.474	60.32	224	0.875	bicubic	-48.685	-44.886	+13
129	vit_deit_small_distilled_patch16_224	32.284	67.716	52.102	47.898	22.44	224	0.900	bicubic	-48.916	-43.276	+7
130	gluon_seresnext101_64x4d	32.205	67.795	50.319	49.681	88.23	224	0.875	bicubic	-48.689	-44.989	+17
131	coat_lite_small	32.127	67.873	49.934	50.066	19.84	224	0.900	bicubic	-50.181	-45.916	-34
132	gluon_seresnext101_32x4d	32.107	67.893	51.237	48.763	48.96	224	0.875	bicubic	-48.797	-44.057	+14
133	vit_deit_base_patch16_384	31.989	68.011	50.547	49.453	86.86	384	1.000	bicubic	-51.117	-45.825	-55
134	seresnext50_32x4d	31.985	68.015	51.231	48.769	27.56	224	0.875	bicubic	-49.281	-44.389	0
135	levit_384	31.877	68.123	50.598	49.402	39.13	224	0.900	bicubic	-50.709	-45.418	-43
136	resnetrs101	31.858	68.142	51.017	48.983	63.62	288	0.940	bicubic	-50.430	-44.991	-36
137	cspresnext50	31.822	68.178	51.602	48.398	20.57	224	0.875	bilinear	-48.218	-43.342	+45
138	eca_nfnet_l0	31.657	68.343	51.654	48.346	24.14	288	1.000	bicubic	-50.931	-44.820	-47
139	tnt_s_patch16_224	31.643	68.357	51.143	48.857	23.76	224	0.900	bicubic	-49.875	-44.605	-17
140	resnet50	31.547	68.453	50.170	49.830	25.56	224	0.875	bicubic	-47.491	-44.220	+96
141	ssl_resnext101_32x4d	31.423	68.577	52.121	47.879	44.18	224	0.875	bilinear	-49.501	-43.607	+4
142	inception_v4	31.378	68.622	49.244	50.756	42.68	299	0.875	bicubic	-48.790	-45.724	+35
143	rexnet_150	31.366	68.634	51.288	48.712	9.73	224	0.875	bicubic	-48.944	-43.878	+23
144	pit_s_224	31.333	68.667	49.661	50.339	23.46	224	0.900	bicubic	-49.761	-45.671	-5
145	cait_xxs36_224	31.278	68.722	50.616	49.384	17.30	224	1.000	bicubic	-48.472	-44.250	+53
146	cspresnet50	31.270	68.730	51.223	48.777	21.62	256	0.887	bilinear	-48.304	-43.489	+60
147	coat_mini	31.203	68.797	49.773	50.227	10.34	224	0.900	bicubic	-50.065	-45.619	-14
148	ecaresnetlight	31.121	68.879	50.243	49.757	30.16	224	0.875	bicubic	-49.341	-45.007	+12
149	gluon_resnet101_v1s	31.115	68.885	49.793	50.207	44.67	224	0.875	bicubic	-49.187	-45.367	+18
150	tf_efficientnet_cc_b0_8e	31.087	68.913	50.761	49.239	24.01	224	0.875	bicubic	-46.821	-42.892	+132
151	ecaresnet50d	31.058	68.942	50.848	49.152	25.58	224	0.875	bicubic	-49.534	-44.472	+4
152	ecaresnet50t	31.058	68.942	50.577	49.423	25.57	320	0.950	bicubic	-51.288	-45.561	-56
153	resnet50d	31.020	68.980	49.808	50.192	25.58	224	0.875	bicubic	-49.510	-45.352	+3
154	cspdarknet53	31.018	68.981	50.390	49.610	27.64	256	0.887	bilinear	-49.040	-44.694	+27
155	gluon_resnet152_v1c	30.991	69.009	48.924	51.076	60.21	224	0.875	bicubic	-48.919	-45.916	+32
156	gluon_resnext101_64x4d	30.987	69.013	48.549	51.451	83.46	224	0.875	bicubic	-49.617	-46.439	-2
157	twins_svt_small	30.985	69.015	49.223	50.777	24.06	224	0.900	bicubic	-50.697	-46.447	-41
158	tf_efficientnet_cc_b1_8e	30.899	69.101	50.080	49.920	39.72	240	0.882	bicubic	-48.409	-44.290	+59
159	ecaresnet101d_pruned	30.897	69.103	50.013	49.987	24.88	224	0.875	bicubic	-49.921	-45.615	-10
160	gluon_resnext101_32x4d	30.877	69.123	48.537	51.463	44.18	224	0.875	bicubic	-49.457	-46.389	+4
161	tf_efficientnetv2_b3	30.861	69.139	49.814	50.186	14.36	300	0.904	bicubic	-51.109	-45.968	-50
162	tf_efficientnet_lite4	30.830	69.170	50.386	49.614	13.01	380	0.920	bilinear	-50.706	-45.282	-41
163	nf_resnet50	30.775	69.225	50.074	49.926	25.56	288	0.940	bicubic	-49.919	-45.282	-11
164	dpn107	30.678	69.322	48.810	51.190	86.92	224	0.875	bicubic	-49.478	-46.100	+14
165	ese_vovnet39b	30.657	69.343	49.875	50.125	24.57	224	0.875	bicubic	-48.663	-44.837	+50
166	gluon_resnet152_v1b	30.623	69.376	48.521	51.479	60.19	224	0.875	bicubic	-49.063	-46.215	+36
167	tresnet_xl_448	30.614	69.386	49.069	50.931	78.44	448	0.875	bilinear	-52.436	-47.105	-86
168	ssl_resnext50_32x4d	30.594	69.406	50.657	49.343	25.03	224	0.875	bilinear	-49.724	-44.749	-3
169	gluon_resnet101_v1d	30.523	69.477	47.950	52.050	44.57	224	0.875	bicubic	-49.891	-47.064	-7
170	dpn68b	30.517	69.483	49.158	50.842	12.61	224	0.875	bicubic	-48.699	-45.256	+57
171	resnest26d	30.490	69.510	50.677	49.323	17.07	224	0.875	bilinear	-47.988	-43.621	+84
172	efficientnet_b2	30.435	69.565	49.698	50.302	9.11	288	1.000	bicubic	-50.177	-45.620	-19
173	tf_efficientnet_b1_ap	30.421	69.579	49.553	50.447	7.79	240	0.882	bicubic	-48.859	-44.753	+50
174	twins_pcpvt_small	30.382	69.618	49.386	50.614	24.11	224	0.900	bicubic	-50.706	-46.256	-34
175	visformer_small	30.329	69.671	48.285	51.715	40.22	224	0.900	bicubic	-51.777	-47.587	-68
176	pit_xs_distilled_224	30.278	69.722	49.836	50.164	11.00	224	0.900	bicubic	-49.028	-44.528	+44
177	seresnet50	30.077	69.923	49.292	50.708	28.09	224	0.875	bicubic	-50.197	-45.778	-7
178	dpn98	30.067	69.933	48.244	51.756	61.57	224	0.875	bicubic	-49.575	-46.354	+26
179	tf_efficientnet_b2	30.026	69.974	49.581	50.419	9.11	260	0.890	bicubic	-50.060	-45.328	+1
180	dpn131	30.024	69.976	48.146	51.854	79.25	224	0.875	bicubic	-49.798	-46.564	+15
181	efficientnet_el	30.018	69.982	48.834	51.166	10.59	300	0.904	bicubic	-51.298	-46.692	-50
182	legacy_senet154	30.001	69.999	48.034	51.966	115.09	224	0.875	bilinear	-51.309	-47.462	-50
183	dpn92	29.953	70.047	49.162	50.838	37.67	224	0.875	bicubic	-50.055	-45.674	0
184	gluon_senet154	29.877	70.123	47.894	52.106	115.09	224	0.875	bicubic	-51.357	-47.454	-49
185	xception	29.865	70.135	48.686	51.314	22.86	299	0.897	bicubic	-49.187	-45.706	+50
186	adv_inception_v3	29.816	70.184	47.847	52.153	23.83	299	0.875	bicubic	-47.766	-45.889	+107
187	gluon_xception65	29.784	70.216	47.755	52.245	39.92	299	0.903	bicubic	-49.932	-47.105	+14
188	resnetblur50	29.625	70.375	48.248	51.752	25.56	224	0.875	bicubic	-49.661	-46.390	+34
189	efficientnet_em	29.486	70.514	48.946	51.054	6.90	240	0.882	bicubic	-49.766	-45.848	+35
190	resnext101_32x8d	29.439	70.561	48.486	51.514	88.79	224	0.875	bilinear	-49.869	-46.032	+26
191	coat_lite_mini	29.433	70.567	47.724	52.276	11.01	224	0.900	bicubic	-49.655	-46.880	+40
192	ssl_resnet50	29.423	70.577	49.781	50.219	25.56	224	0.875	bilinear	-49.799	-45.051	+33
193	vit_deit_small_patch16_224	29.421	70.579	48.256	51.744	22.05	224	0.900	bicubic	-50.435	-46.796	-1
194	nf_regnet_b1	29.397	70.603	49.445	50.555	10.22	288	0.900	bicubic	-49.909	-45.303	+25
195	cait_xxs24_384	29.387	70.612	48.753	51.247	12.03	384	1.000	bicubic	-51.578	-46.893	-51
196	swin_tiny_patch4_window7_224	29.334	70.666	47.602	52.398	28.29	224	0.900	bicubic	-52.044	-47.938	-67
197	resnext50_32x4d	29.331	70.669	47.397	52.603	25.03	224	0.875	bicubic	-50.438	-47.201	0
198	resnet34d	29.328	70.671	48.409	51.591	21.82	224	0.875	bicubic	-47.788	-44.973	+109
199	cait_xxs24_224	29.303	70.697	48.535	51.465	11.96	224	1.000	bicubic	-49.083	-45.775	+62
200	ecaresnet50d_pruned	29.215	70.785	48.453	51.547	19.94	224	0.875	bicubic	-50.501	-46.427	0
201	tresnet_l_448	29.165	70.835	47.232	52.768	55.99	448	0.875	bilinear	-53.103	-48.744	-100
202	gluon_inception_v3	29.122	70.878	46.957	53.043	23.83	299	0.875	bicubic	-49.684	-47.413	+40
203	xception71	29.047	70.953	47.405	52.595	42.34	299	0.903	bicubic	-50.826	-47.517	-13
204	hrnet_w64	28.989	71.011	47.142	52.858	128.06	224	0.875	bilinear	-50.485	-47.510	+6
205	resnetv2_101x1_bitm	28.910	71.090	49.502	50.498	44.54	480	1.000	bilinear	-53.302	-46.970	-102
206	tf_efficientnet_b0_ns	28.902	71.098	49.011	50.989	5.29	224	0.875	bicubic	-49.756	-45.365	+43
207	xception65	28.896	71.104	47.167	52.833	39.92	299	0.903	bicubic	-50.656	-47.487	0
208	tf_efficientnet_b1	28.886	71.114	47.503	52.497	7.79	240	0.882	bicubic	-49.940	-46.695	+33
209	gluon_resnet101_v1b	28.878	71.121	46.389	53.611	44.55	224	0.875	bicubic	-50.427	-48.135	+9
210	skresnext50_32x4d	28.818	71.182	46.497	53.503	27.48	224	0.875	bicubic	-51.338	-48.145	-31
211	levit_256	28.745	71.255	46.723	53.277	18.89	224	0.900	bicubic	-52.765	-48.767	-88
212	tf_efficientnet_lite3	28.660	71.340	47.354	52.646	8.20	300	0.904	bilinear	-51.160	-47.560	-16
213	gluon_seresnext50_32x4d	28.651	71.349	46.436	53.564	27.56	224	0.875	bicubic	-51.267	-48.386	-28
214	skresnet34	28.645	71.355	47.953	52.047	22.28	224	0.875	bicubic	-48.267	-45.369	+101
215	hrnet_w40	28.641	71.359	47.454	52.546	57.56	224	0.875	bilinear	-50.279	-47.016	+23
216	tf_efficientnetv2_b0	28.566	71.434	47.079	52.921	7.14	224	0.875	bicubic	-49.790	-46.945	+48
217	tv_resnet152	28.533	71.467	47.118	52.882	60.19	224	0.875	bilinear	-49.779	-46.920	+48
218	repvgg_b2	28.427	71.573	47.038	52.962	89.02	224	0.875	bilinear	-50.365	-47.376	+26
219	hrnet_w48	28.413	71.587	47.586	52.414	77.47	224	0.875	bilinear	-50.887	-46.926	+2
220	gluon_resnext50_32x4d	28.375	71.624	45.328	54.672	25.03	224	0.875	bicubic	-50.978	-49.098	-6
221	efficientnet_b2_pruned	28.362	71.638	47.051	52.949	8.31	260	0.890	bicubic	-51.554	-47.805	-35
222	tf_efficientnet_b0_ap	28.346	71.654	47.531	52.469	5.29	224	0.875	bicubic	-48.740	-45.725	+87
223	tf_efficientnet_cc_b0_4e	28.315	71.685	47.364	52.636	13.31	224	0.875	bicubic	-48.991	-45.970	+79
224	dla169	28.313	71.687	47.391	52.609	53.39	224	0.875	bilinear	-50.375	-46.945	+22
225	dla102x2	28.313	71.687	46.761	53.239	41.28	224	0.875	bilinear	-51.135	-47.879	-12
226	mixnet_xl	28.287	71.713	46.702	53.298	11.90	224	0.875	bicubic	-52.189	-48.234	-68
227	gluon_resnet50_v1d	28.246	71.754	45.878	54.122	25.58	224	0.875	bicubic	-50.828	-48.592	+6
228	wide_resnet101_2	28.108	71.892	46.401	53.599	126.89	224	0.875	bilinear	-50.748	-47.881	+12
229	gluon_resnet101_v1c	28.104	71.896	45.961	54.039	44.57	224	0.875	bicubic	-51.430	-48.617	-21
230	regnetx_320	28.093	71.907	45.126	54.874	107.81	224	0.875	bicubic	-52.153	-49.900	-58
231	densenet161	28.081	71.919	46.641	53.359	28.68	224	0.875	bicubic	-49.277	-46.997	+70
232	regnety_320	28.059	71.941	45.444	54.556	145.05	224	0.875	bicubic	-52.753	-49.800	-82
233	gernet_s	28.022	71.978	46.723	53.277	8.17	224	0.875	bilinear	-48.894	-46.409	+81
234	efficientnet_el_pruned	28.016	71.984	46.790	53.210	10.59	300	0.904	bicubic	-52.284	-48.428	-66
235	levit_192	28.016	71.984	45.880	54.120	10.95	224	0.900	bicubic	-51.826	-48.906	-41
236	xception41	27.888	72.112	45.890	54.110	26.97	299	0.903	bicubic	-50.628	-48.388	+15
237	regnetx_160	27.817	72.183	45.617	54.383	54.28	224	0.875	bicubic	-52.039	-49.213	-46
238	tf_inception_v3	27.780	72.220	45.721	54.279	23.83	299	0.875	bicubic	-50.078	-48.149	+46
239	res2net101_26w_4s	27.768	72.232	45.179	54.821	45.21	224	0.875	bilinear	-51.430	-49.253	-10
240	tf_efficientnetv2_b1	27.760	72.240	46.578	53.422	8.14	240	0.882	bicubic	-51.702	-48.144	-29
241	repvgg_b1	27.656	72.344	46.531	53.469	57.42	224	0.875	bilinear	-50.710	-47.567	+22
242	hrnet_w44	27.621	72.379	45.837	54.163	67.06	224	0.875	bilinear	-51.275	-48.531	-3
243	inception_v3	27.556	72.444	45.263	54.737	23.83	299	0.875	bicubic	-49.882	-48.213	+55
244	pit_xs_224	27.491	72.509	45.900	54.100	10.62	224	0.900	bicubic	-50.691	-48.268	+26
245	regnetx_080	27.405	72.595	45.002	54.998	39.57	224	0.875	bicubic	-51.789	-49.558	-15
246	hrnet_w30	27.381	72.619	46.554	53.446	37.71	224	0.875	bilinear	-50.825	-47.668	+23
247	hrnet_w32	27.369	72.631	45.994	54.006	41.23	224	0.875	bilinear	-51.081	-48.192	+10
248	gluon_resnet50_v1s	27.326	72.674	45.222	54.778	25.68	224	0.875	bicubic	-51.384	-49.016	-2
249	densenet201	27.265	72.735	46.222	53.778	20.01	224	0.875	bicubic	-50.021	-47.256	+54
250	densenetblur121d	27.228	72.772	46.299	53.701	8.00	224	0.875	bicubic	-49.360	-46.893	+73
251	regnety_064	27.220	72.780	44.847	55.153	30.58	224	0.875	bicubic	-52.502	-49.921	-52
252	efficientnet_b1_pruned	27.181	72.819	45.872	54.128	6.33	240	0.882	bicubic	-51.055	-47.962	+16
253	tf_efficientnetv2_b2	27.163	72.837	44.570	55.430	10.10	260	0.890	bicubic	-53.045	-50.472	-78
254	resnetrs50	27.110	72.890	45.029	54.971	35.69	224	0.910	bicubic	-52.782	-49.939	-66
255	rexnet_130	27.094	72.906	45.933	54.067	7.56	224	0.875	bicubic	-52.406	-48.749	-46
256	vit_small_patch16_224	27.086	72.914	45.701	54.299	48.75	224	0.900	bicubic	-50.772	-47.939	+29
257	res2net50_26w_8s	27.078	72.921	44.428	55.572	48.40	224	0.875	bilinear	-52.119	-49.940	-29
258	dla102x	27.061	72.939	45.475	54.525	26.31	224	0.875	bilinear	-51.449	-48.753	-6
259	tv_resnet101	26.963	73.037	45.234	54.766	44.55	224	0.875	bilinear	-50.411	-48.306	+41
260	resnext50d_32x4d	26.876	73.124	44.436	55.564	25.05	224	0.875	bicubic	-52.800	-50.430	-57
261	regnetx_120	26.868	73.132	44.682	55.318	46.11	224	0.875	bicubic	-52.728	-50.056	-56
262	rexnet_100	26.831	73.169	45.369	54.631	4.80	224	0.875	bicubic	-51.027	-48.047	+24
263	densenet169	26.829	73.171	45.373	54.627	14.15	224	0.875	bicubic	-49.077	-47.653	+70
264	legacy_seresnext101_32x4d	26.811	73.189	43.497	56.503	48.96	224	0.875	bilinear	-53.417	-51.521	-91
265	regnety_120	26.788	73.212	44.454	55.546	51.82	224	0.875	bicubic	-53.578	-50.672	-102
266	regnetx_064	26.784	73.216	44.927	55.073	26.21	224	0.875	bicubic	-52.288	-49.531	-32
267	regnetx_032	26.703	73.297	45.236	54.764	15.30	224	0.875	bicubic	-51.469	-48.852	+4
268	legacy_seresnet152	26.676	73.324	43.947	56.053	66.82	224	0.875	bilinear	-51.984	-50.423	-20
269	densenet121	26.664	73.336	45.900	54.100	7.98	224	0.875	bicubic	-48.914	-46.752	+68
270	efficientnet_es	26.621	73.379	45.112	54.888	5.44	224	0.875	bicubic	-51.445	-48.814	+5
271	res2net50_26w_6s	26.595	73.405	43.990	56.010	37.05	224	0.875	bilinear	-51.975	-50.134	-21
272	repvgg_b1g4	26.579	73.421	45.084	54.916	39.97	224	0.875	bilinear	-51.015	-48.742	+20
273	dla60x	26.552	73.448	45.023	54.977	17.35	224	0.875	bilinear	-51.694	-48.995	-7
274	regnety_080	26.524	73.476	44.359	55.641	39.18	224	0.875	bicubic	-53.352	-50.471	-85
275	coat_lite_tiny	26.507	73.493	44.644	55.356	5.72	224	0.900	bicubic	-51.005	-49.272	+21
276	tf_efficientnet_b0	26.485	73.515	45.646	54.354	5.29	224	0.875	bicubic	-50.363	-47.582	+40
277	res2net50_14w_8s	26.483	73.517	44.371	55.629	25.06	224	0.875	bilinear	-51.667	-49.477	-5
278	mobilenetv3_large_100_miil	26.481	73.519	44.473	55.527	5.48	224	0.875	bilinear	-51.435	-48.437	+3
279	gluon_resnet50_v1b	26.436	73.564	44.035	55.965	25.56	224	0.875	bicubic	-51.144	-49.681	+15
280	tf_efficientnet_el	26.357	73.643	44.175	55.825	10.59	300	0.904	bicubic	-53.893	-50.953	-109
281	levit_128	26.332	73.668	44.096	55.904	9.21	224	0.900	bicubic	-52.154	-49.914	-28
282	regnetx_040	26.243	73.757	44.438	55.562	22.12	224	0.875	bicubic	-52.239	-49.806	-28
283	dpn68	26.129	73.871	44.228	55.772	12.61	224	0.875	bicubic	-50.189	-48.750	+45
284	efficientnet_b1	26.061	73.939	44.080	55.920	7.79	256	1.000	bicubic	-52.733	-50.262	-41
285	hrnet_w18	25.986	74.014	44.813	55.187	21.30	224	0.875	bilinear	-50.772	-48.631	+33
286	hardcorenas_f	25.951	74.049	44.220	55.780	8.20	224	0.875	bilinear	-52.153	-49.582	-12
287	regnety_040	25.923	74.077	43.848	56.152	20.65	224	0.875	bicubic	-53.297	-50.808	-61
288	resnet34	25.888	74.112	43.982	56.018	21.80	224	0.875	bilinear	-49.222	-48.302	+59
289	res2net50_26w_4s	25.866	74.134	43.155	56.845	25.70	224	0.875	bilinear	-52.098	-50.699	-9
290	tresnet_m_448	25.852	74.148	42.874	57.126	31.39	448	0.875	bilinear	-55.862	-52.698	-175
291	coat_tiny	25.843	74.157	43.276	56.724	5.50	224	0.900	bicubic	-52.591	-50.761	-32
292	hardcorenas_c	25.815	74.185	44.772	55.228	5.52	224	0.875	bilinear	-51.239	-48.386	+18
293	gluon_resnet50_v1c	25.784	74.216	43.031	56.969	25.58	224	0.875	bicubic	-52.228	-50.957	-16
294	selecsls60	25.729	74.272	44.065	55.935	30.67	224	0.875	bicubic	-52.254	-49.764	-15
295	hardcorenas_e	25.662	74.338	43.412	56.588	8.07	224	0.875	bilinear	-52.132	-50.282	-8
296	dla60_res2net	25.652	74.348	43.599	56.401	20.85	224	0.875	bilinear	-52.812	-50.607	-40
297	dla60_res2next	25.640	74.360	43.670	56.330	17.03	224	0.875	bilinear	-52.800	-50.482	-39
298	ecaresnet26t	25.538	74.462	43.660	56.340	16.01	320	0.950	bicubic	-54.316	-51.424	-105
299	mixnet_l	25.512	74.488	43.455	56.545	7.33	224	0.875	bicubic	-53.464	-50.727	-62
300	tf_efficientnet_lite1	25.499	74.501	43.585	56.415	5.42	240	0.882	bicubic	-51.143	-49.641	+20
301	tv_resnext50_32x4d	25.455	74.545	42.787	57.213	25.03	224	0.875	bilinear	-52.165	-50.909	-11
302	repvgg_a2	25.436	74.564	43.939	56.061	28.21	224	0.875	bilinear	-51.024	-49.065	+25
303	tf_mixnet_l	25.422	74.578	42.534	57.466	7.33	224	0.875	bicubic	-53.352	-51.464	-58
304	hardcorenas_b	25.402	74.598	44.190	55.810	5.18	224	0.875	bilinear	-51.136	-48.564	+20
305	res2next50	25.389	74.611	42.508	57.492	24.67	224	0.875	bilinear	-52.857	-51.384	-38
306	legacy_seresnet101	25.334	74.666	42.825	57.175	49.33	224	0.875	bilinear	-53.048	-51.439	-44
307	selecsls60b	25.332	74.668	43.559	56.441	32.77	224	0.875	bicubic	-53.080	-50.615	-47
308	dla102	25.316	74.684	43.827	56.173	33.27	224	0.875	bilinear	-52.716	-50.119	-32
309	hardcorenas_d	25.300	74.700	43.121	56.879	7.50	224	0.875	bilinear	-52.132	-50.363	-10
310	resnest14d	25.284	74.716	44.114	55.886	10.61	224	0.875	bilinear	-50.222	-48.404	+29
311	legacy_seresnext50_32x4d	25.210	74.790	41.936	58.064	27.56	224	0.875	bilinear	-53.868	-52.500	-79
312	mixer_b16_224	25.121	74.879	41.227	58.773	59.88	224	0.875	bicubic	-51.481	-51.001	+9
313	res2net50_48w_2s	25.027	74.973	42.208	57.792	25.29	224	0.875	bilinear	-52.495	-51.346	-18
314	efficientnet_b0	25.015	74.985	42.787	57.213	5.29	224	0.875	bicubic	-52.683	-50.745	-26
315	gluon_resnet34_v1b	24.939	75.061	42.243	57.757	21.80	224	0.875	bicubic	-49.649	-49.747	+41
316	mobilenetv2_120d	24.937	75.063	43.058	56.942	5.83	224	0.875	bicubic	-52.347	-50.434	-12
317	dla60	24.933	75.067	43.296	56.704	22.04	224	0.875	bilinear	-52.099	-50.022	-6
318	regnety_016	24.811	75.189	42.616	57.384	11.20	224	0.875	bicubic	-53.051	-51.104	-35
319	tf_efficientnet_lite2	24.530	75.470	42.280	57.720	6.09	260	0.890	bicubic	-52.938	-51.474	-22
320	skresnet18	24.483	75.517	42.536	57.464	11.96	224	0.875	bicubic	-48.555	-48.632	+49
321	regnetx_016	24.473	75.527	42.514	57.486	9.19	224	0.875	bicubic	-52.477	-50.906	-9
322	pit_ti_distilled_224	24.406	75.594	42.730	57.270	5.10	224	0.900	bicubic	-50.124	-49.366	+35
323	tf_efficientnet_lite0	24.373	75.627	42.487	57.513	4.65	224	0.875	bicubic	-50.457	-49.689	+28
324	hardcorenas_a	24.369	75.631	43.284	56.716	5.26	224	0.875	bilinear	-51.547	-49.230	+8
325	resnetv2_50x1_bitm	24.233	75.767	43.477	56.523	25.55	480	1.000	bilinear	-55.939	-52.149	-149
326	tv_resnet50	24.070	75.930	41.313	58.687	25.56	224	0.875	bilinear	-52.068	-51.551	+4
327	levit_128s	24.058	75.942	41.007	58.993	7.78	224	0.900	bicubic	-52.472	-51.859	-2
328	legacy_seresnet34	24.027	75.973	41.909	58.091	21.96	224	0.875	bilinear	-50.781	-50.215	+24
329	resnet18d	23.929	76.071	42.300	57.700	11.71	224	0.875	bicubic	-48.331	-48.396	+47
330	efficientnet_lite0	23.909	76.091	42.088	57.912	4.65	224	0.875	bicubic	-51.575	-50.422	+10
331	tv_densenet121	23.844	76.156	41.925	58.075	7.98	224	0.875	bicubic	-50.894	-50.225	+22
332	efficientnet_es_pruned	23.828	76.172	41.995	58.005	5.44	224	0.875	bicubic	-51.172	-50.453	+18
333	mobilenetv2_140	23.712	76.288	41.477	58.523	6.11	224	0.875	bicubic	-52.804	-51.519	-7
334	mixnet_m	23.710	76.290	41.141	58.859	5.01	224	0.875	bicubic	-53.550	-52.284	-29
335	dla34	23.669	76.331	41.551	58.449	15.74	224	0.875	bilinear	-50.961	-50.527	+20
336	legacy_seresnet50	23.651	76.349	40.091	59.909	28.09	224	0.875	bilinear	-53.978	-53.657	-47
337	ese_vovnet19b_dw	23.535	76.465	41.288	58.712	6.54	224	0.875	bicubic	-53.263	-51.980	-20
338	tf_mixnet_m	23.484	76.516	40.989	59.011	5.01	224	0.875	bicubic	-53.458	-52.163	-25
339	tv_resnet34	23.473	76.527	41.367	58.633	21.80	224	0.875	bilinear	-49.839	-50.059	+27
340	tf_efficientnet_em	23.359	76.641	40.404	59.596	6.90	240	0.882	bicubic	-54.771	-53.640	-67
341	selecsls42b	23.357	76.643	40.677	59.323	32.46	224	0.875	bicubic	-53.817	-52.713	-35
342	repvgg_b0	23.316	76.684	41.182	58.818	15.82	224	0.875	bilinear	-51.837	-51.236	+2
343	mobilenetv2_110d	23.066	76.934	40.716	59.284	4.52	224	0.875	bicubic	-51.970	-51.470	+6
344	vit_deit_tiny_distilled_patch16_224	22.718	77.282	40.771	59.229	5.91	224	0.900	bicubic	-51.792	-51.119	+14
345	mobilenetv3_large_100	22.655	77.345	40.781	59.219	5.48	224	0.875	bicubic	-53.111	-51.761	-11
346	mobilenetv3_rw	22.630	77.370	40.374	59.626	5.48	224	0.875	bicubic	-53.004	-52.334	-10
347	tf_mobilenetv3_large_100	22.569	77.431	39.767	60.233	5.48	224	0.875	bilinear	-52.949	-52.839	-9
348	tf_efficientnet_es	22.413	77.587	39.095	60.905	5.44	224	0.875	bicubic	-54.180	-54.107	-26
349	hrnet_w18_small_v2	22.337	77.663	39.861	60.139	15.60	224	0.875	bilinear	-52.777	-52.555	-3
350	convit_tiny	22.282	77.718	39.669	60.331	5.71	224	0.875	bicubic	-50.834	-52.045	+18
351	regnety_008	22.119	77.881	38.900	61.100	6.26	224	0.875	bicubic	-54.197	-54.166	-22
352	seresnext26t_32x4d	21.991	78.009	38.482	61.518	16.81	224	0.875	bicubic	-55.995	-55.264	-74
353	regnety_006	21.971	78.029	38.955	61.045	6.06	224	0.875	bicubic	-53.275	-53.577	-10
354	regnetx_008	21.940	78.060	38.928	61.072	7.26	224	0.875	bicubic	-53.098	-53.408	-6
355	resnet26d	21.907	78.094	38.619	61.381	16.01	224	0.875	bicubic	-54.789	-54.531	-36
356	semnasnet_100	21.903	78.097	38.600	61.400	3.89	224	0.875	bicubic	-53.545	-54.004	-15
357	pit_ti_224	21.875	78.125	39.541	60.459	4.85	224	0.900	bicubic	-51.037	-51.861	+14
358	regnetx_006	21.738	78.263	38.904	61.096	6.20	224	0.875	bicubic	-52.115	-52.768	+5
359	vgg19_bn	21.628	78.373	39.283	60.717	143.68	224	0.875	bilinear	-52.587	-52.559	0
360	ghostnet_100	21.620	78.380	38.692	61.308	5.18	224	0.875	bilinear	-52.358	-52.764	+2
361	gluon_resnet18_v1b	21.549	78.451	38.869	61.131	11.69	224	0.875	bicubic	-49.287	-50.893	+22
362	fbnetc_100	21.484	78.516	38.161	61.839	5.57	224	0.875	bilinear	-53.640	-54.224	-17
363	mnasnet_100	21.350	78.650	37.719	62.281	4.38	224	0.875	bicubic	-53.308	-54.395	-9
364	resnet26	21.295	78.705	38.018	61.982	16.00	224	0.875	bicubic	-53.997	-54.552	-22
365	ssl_resnet18	21.278	78.722	39.113	60.887	11.69	224	0.875	bilinear	-51.332	-52.303	+7
366	mixnet_s	21.254	78.746	38.187	61.813	4.13	224	0.875	bicubic	-54.738	-54.609	-35
367	seresnext26d_32x4d	21.252	78.748	37.311	62.689	16.81	224	0.875	bicubic	-56.350	-56.297	-76
368	legacy_seresnext26_32x4d	21.093	78.907	37.633	62.367	16.79	224	0.875	bicubic	-56.011	-55.683	-60
369	regnetx_004	20.898	79.102	37.566	62.434	5.16	224	0.875	bicubic	-51.498	-53.264	+4
370	spnasnet_100	20.863	79.137	37.896	62.104	4.42	224	0.875	bilinear	-53.221	-53.922	-10
371	legacy_seresnet18	20.837	79.162	37.619	62.381	11.78	224	0.875	bicubic	-50.905	-52.715	+9
372	mobilenetv2_100	20.773	79.227	37.759	62.241	3.50	224	0.875	bicubic	-52.197	-53.257	-2
373	tf_mixnet_s	20.470	79.530	36.607	63.393	4.13	224	0.875	bicubic	-55.180	-56.021	-38
374	regnety_004	20.415	79.585	37.002	62.998	4.34	224	0.875	bicubic	-53.619	-54.750	-13
375	hrnet_w18_small	20.368	79.632	37.093	62.907	13.19	224	0.875	bilinear	-51.976	-53.585	0
376	tf_mobilenetv3_large_075	20.366	79.634	36.764	63.236	3.99	224	0.875	bilinear	-53.072	-54.586	-12
377	resnet18	20.228	79.772	37.261	62.739	11.69	224	0.875	bilinear	-49.520	-51.817	+10
378	mixer_l16_224	20.171	79.829	32.956	67.044	208.20	224	0.875	bicubic	-51.887	-54.712	+1
379	vit_deit_tiny_patch16_224	20.162	79.838	37.546	62.454	5.72	224	0.900	bicubic	-52.007	-53.572	-1
380	tf_mobilenetv3_large_minimal_100	20.122	79.878	36.908	63.092	3.92	224	0.875	bilinear	-52.126	-53.722	-3
381	vgg16_bn	19.959	80.041	36.301	63.699	138.37	224	0.875	bilinear	-53.391	-55.205	-16
382	vgg19	17.929	82.071	33.054	66.946	143.67	224	0.875	bilinear	-54.439	-57.818	-8
383	vgg13_bn	17.802	82.198	34.039	65.961	133.05	224	0.875	bilinear	-53.792	-56.337	-2
384	vgg16	17.540	82.460	32.773	67.227	138.36	224	0.875	bilinear	-54.054	-57.609	-2
385	regnety_002	17.450	82.550	32.431	67.569	3.16	224	0.875	bicubic	-52.802	-57.109	0
386	vgg11_bn	17.403	82.597	33.011	66.989	132.87	224	0.875	bilinear	-52.957	-56.791	-2
387	regnetx_002	16.962	83.038	32.225	67.775	2.68	224	0.875	bicubic	-51.800	-56.331	+2
388	dla60x_c	16.310	83.690	31.761	68.239	1.32	224	0.875	bilinear	-51.582	-56.665	+3
389	tf_mobilenetv3_small_100	16.227	83.772	31.223	68.777	2.54	224	0.875	bilinear	-51.694	-56.441	+1
390	vgg13	16.100	83.900	30.985	69.015	133.05	224	0.875	bilinear	-53.826	-58.261	-4
391	vgg11	15.728	84.272	30.453	69.547	132.86	224	0.875	bilinear	-53.296	-58.175	-3
392	tf_mobilenetv3_small_075	14.944	85.056	29.572	70.428	2.04	224	0.875	bilinear	-50.772	-56.558	+1
393	dla46_c	14.657	85.343	29.380	70.620	1.30	224	0.875	bilinear	-50.207	-56.912	+1
394	dla46x_c	14.382	85.618	29.191	70.809	1.07	224	0.875	bilinear	-51.588	-57.789	-2
395	tf_mobilenetv3_small_minimal_100	13.964	86.036	27.988	72.012	2.04	224	0.875	bilinear	-48.942	-56.242	0