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	58.850	41.150	81.080	18.920	828.41	224	0.875	bilinear	-26.652	-16.468	+9
3	ig_resnext101_32x32d	58.429	41.571	80.371	19.629	468.53	224	0.875	bilinear	-26.717	-17.085	+14
4	ig_resnext101_32x16d	57.663	42.337	79.882	20.118	194.03	224	0.875	bilinear	-26.505	-17.314	+29
5	swsl_resnext101_32x16d	57.466	42.534	80.406	19.594	194.03	224	0.875	bilinear	-25.998	-16.460	+36
6	swsl_resnext101_32x8d	56.460	43.540	78.936	21.064	88.79	224	0.875	bilinear	-27.872	-18.218	+24
7	ig_resnext101_32x8d	54.918	45.082	77.531	22.468	88.79	224	0.875	bilinear	-27.742	-19.153	+46
8	swsl_resnext101_32x4d	53.601	46.399	76.315	23.685	44.18	224	0.875	bilinear	-29.651	-20.453	+36
9	tf_efficientnet_l2_ns_475	51.485	48.515	73.918	26.082	480.31	475	0.936	bicubic	-36.745	-24.628	-6
10	swsl_resnext50_32x4d	50.396	49.604	73.356	26.644	25.03	224	0.875	bilinear	-31.790	-22.908	+50
11	swsl_resnet50	49.547	50.453	72.352	27.648	25.56	224	0.875	bilinear	-31.577	-23.636	+74
12	tf_efficientnet_b7_ns	47.784	52.216	69.644	30.356	66.35	600	0.949	bicubic	-39.046	-28.448	-8
13	tf_efficientnet_b6_ns	47.773	52.227	69.966	30.034	43.04	528	0.942	bicubic	-38.689	-27.912	-8
14	tf_efficientnet_l2_ns	47.598	52.402	69.978	30.022	480.31	800	0.960	bicubic	-40.738	-28.686	-12
15	tf_efficientnet_b8_ap	45.778	54.222	67.893	32.107	87.41	672	0.954	bicubic	-39.606	-29.405	-1
16	tf_efficientnet_b5_ns	45.595	54.405	67.852	32.148	30.39	456	0.934	bicubic	-40.477	-29.896	-9
17	vit_base_resnet50_384	43.524	56.476	66.792	33.208	98.95	384	1.000	bicubic	-41.470	-30.502	+2
18	tf_efficientnet_b4_ns	43.438	56.562	65.550	34.450	19.34	380	0.922	bicubic	-41.756	-31.950	-3
19	vit_large_patch16_384	43.253	56.747	66.453	33.547	304.72	384	1.000	bicubic	-41.917	-30.891	-3
20	tf_efficientnet_b8	42.492	57.508	64.876	35.123	87.41	672	0.954	bicubic	-42.892	-32.524	-7
21	dm_nfnet_f6	41.600	58.400	63.181	36.819	438.36	576	0.956	bicubic	-44.706	-34.561	-15
22	tf_efficientnet_b7_ap	41.451	58.549	62.894	37.106	66.35	600	0.949	bicubic	-43.673	-34.362	-4
23	tf_efficientnet_b7	41.449	58.551	63.037	36.963	66.35	600	0.949	bicubic	-43.487	-34.171	-2
24	tf_efficientnet_b5_ap	41.384	58.616	62.051	37.949	30.39	456	0.934	bicubic	-42.876	-34.923	+7
25	resnetv2_152x4_bitm	41.247	58.753	64.248	35.752	936.53	480	1.000	bilinear	-43.669	-33.196	-2
26	tf_efficientnet_b6_ap	41.097	58.903	62.363	37.637	43.04	528	0.942	bicubic	-43.693	-34.773	-2
27	dm_nfnet_f5	41.009	58.991	61.927	38.073	377.21	544	0.954	bicubic	-44.711	-35.509	-18
28	dm_nfnet_f3	40.875	59.125	62.008	37.992	254.92	416	0.940	bicubic	-44.707	-35.383	-18
29	vit_large_patch16_224	40.681	59.319	63.546	36.454	304.33	224	0.900	bicubic	-42.379	-32.878	+18
30	tf_efficientnet_b4_ap	40.533	59.467	61.673	38.327	19.34	380	0.922	bicubic	-42.691	-34.693	+15
31	tf_efficientnet_b3_ns	39.675	60.325	61.473	38.527	12.23	300	0.904	bicubic	-44.337	-35.437	+4
32	ecaresnet269d	39.594	60.406	60.308	39.692	102.09	352	1.000	bicubic	-45.332	-36.928	-10
33	dm_nfnet_f4	39.439	60.561	60.410	39.590	316.07	512	0.951	bicubic	-46.287	-37.108	-25
34	tf_efficientnet_b5	38.346	61.654	59.934	40.066	30.39	456	0.934	bicubic	-45.474	-36.826	+4
35	vit_deit_base_distilled_patch16_384	38.244	61.756	57.853	42.147	87.63	384	1.000	bicubic	-47.178	-39.481	-23
36	vit_base_patch16_384	38.142	61.858	60.439	39.561	86.86	384	1.000	bicubic	-46.070	-36.777	-4
37	resnet152d	37.859	62.141	58.388	41.612	60.21	320	1.000	bicubic	-45.805	-38.338	+3
38	resnet200d	37.478	62.522	58.284	41.716	64.69	320	1.000	bicubic	-46.522	-38.540	-2
39	resnest269e	37.293	62.707	57.443	42.557	110.93	416	0.928	bicubic	-47.225	-39.559	-13
40	tf_efficientnet_b3_ap	37.126	62.874	57.297	42.703	12.23	300	0.904	bicubic	-44.676	-38.303	+27
41	resnetv2_152x2_bitm	36.837	63.163	59.866	40.134	236.34	480	1.000	bilinear	-47.591	-37.586	-14
42	seresnet152d	36.768	63.232	56.672	43.328	66.84	320	1.000	bicubic	-47.582	-40.370	-13
43	efficientnet_b3a	36.432	63.568	56.788	43.212	12.23	320	1.000	bicubic	-45.800	-39.338	+15
44	vit_deit_base_distilled_patch16_224	36.373	63.627	56.588	43.412	87.34	224	0.900	bicubic	-46.999	-39.916	-2
45	dm_nfnet_f2	36.269	63.731	55.882	44.118	193.78	352	0.920	bicubic	-48.699	-41.242	-25
46	tf_efficientnet_b2_ns	36.218	63.782	57.517	42.483	9.11	260	0.890	bicubic	-46.148	-38.743	+9
47	efficientnet_b3	36.039	63.961	56.350	43.650	12.23	300	0.904	bicubic	-45.993	-39.686	+16
48	ecaresnet101d	36.010	63.990	56.132	43.868	44.57	224	0.875	bicubic	-46.108	-39.908	+14
49	resnest200e	35.888	64.112	55.880	44.120	70.20	320	0.909	bicubic	-47.952	-40.978	-12
50	swsl_resnet18	35.809	64.191	58.380	41.620	11.69	224	0.875	bilinear	-37.509	-33.372	+237
51	vit_base_patch16_224	35.691	64.309	57.390	42.610	86.57	224	0.900	bicubic	-46.089	-38.722	+17
52	resnest101e	35.369	64.631	55.835	44.165	48.28	256	0.875	bilinear	-47.455	-40.475	-1
53	resnetv2_101x3_bitm	35.230	64.770	57.863	42.137	387.93	480	1.000	bilinear	-49.162	-39.495	-25
54	dm_nfnet_f1	35.198	64.802	54.375	45.625	132.63	320	0.910	bicubic	-49.396	-42.705	-29
55	repvgg_b3g4	35.043	64.957	54.774	45.226	83.83	224	0.875	bilinear	-45.195	-40.294	+64
56	repvgg_b3	34.980	65.020	54.576	45.424	123.09	224	0.875	bilinear	-45.460	-40.618	+49
57	resnet101d	34.878	65.122	54.210	45.790	44.57	320	1.000	bicubic	-48.122	-42.250	-8
58	vit_large_patch32_384	34.660	65.340	55.674	44.326	306.63	384	1.000	bicubic	-46.846	-40.434	+17
59	dm_nfnet_f0	34.652	65.348	54.747	45.253	71.49	256	0.900	bicubic	-48.718	-41.811	-16
60	ssl_resnext101_32x16d	34.628	65.372	55.955	44.045	194.03	224	0.875	bilinear	-47.218	-40.177	+6
61	repvgg_b2g4	34.618	65.382	54.786	45.214	61.76	224	0.875	bilinear	-44.785	-39.920	+93
62	regnety_032	34.447	65.552	54.304	45.696	19.44	224	0.875	bicubic	-47.569	-41.628	+2
63	resnest50d_4s2x40d	34.381	65.619	54.737	45.263	30.42	224	0.875	bicubic	-46.767	-40.815	+21
64	tf_efficientnet_b1_ns	34.131	65.869	55.472	44.528	7.79	240	0.882	bicubic	-47.267	-40.258	+13
65	tf_efficientnet_b4	34.088	65.912	54.269	45.731	19.34	380	0.922	bicubic	-48.886	-42.023	-15
66	efficientnet_b3_pruned	34.033	65.967	54.051	45.949	9.86	300	0.904	bicubic	-46.787	-41.173	+27
67	tf_efficientnet_b6	33.976	66.024	54.534	45.466	43.04	528	0.942	bicubic	-50.146	-42.356	-33
68	ssl_resnext101_32x8d	33.968	66.032	55.560	44.440	88.79	224	0.875	bilinear	-47.632	-40.462	+5
69	gernet_l	33.329	66.671	51.840	48.160	31.08	256	0.875	bilinear	-48.015	-43.700	+9
70	tresnet_xl	33.257	66.743	52.288	47.712	78.44	224	0.875	bilinear	-48.909	-43.646	-9
71	resnest50d_1s4x24d	33.178	66.822	52.815	47.185	25.68	224	0.875	bicubic	-47.760	-42.503	+18
72	rexnet_200	32.978	67.022	52.886	47.114	16.37	224	0.875	bicubic	-48.710	-42.804	-2
73	resnest50d	32.948	67.052	52.581	47.419	27.48	224	0.875	bilinear	-48.022	-42.769	+15
74	tf_efficientnet_b3	32.870	67.130	52.917	47.083	12.23	300	0.904	bicubic	-48.756	-42.789	-2
75	pnasnet5large	32.848	67.152	50.457	49.543	86.06	331	0.911	bicubic	-49.938	-45.619	-23
76	nasnetalarge	32.764	67.237	50.091	49.909	88.75	331	0.911	bicubic	-49.877	-45.961	-22
77	inception_resnet_v2	32.750	67.250	50.645	49.355	55.84	299	0.897	bicubic	-47.698	-44.647	+27
78	gernet_m	32.695	67.305	51.927	48.073	21.14	224	0.875	bilinear	-48.035	-43.285	+17
79	gluon_resnet152_v1d	32.657	67.343	51.025	48.975	60.21	224	0.875	bicubic	-47.823	-44.237	+23
80	tf_efficientnet_b2_ap	32.655	67.345	52.219	47.781	9.11	260	0.890	bicubic	-47.585	-42.764	+38
81	tresnet_l	32.581	67.419	51.151	48.849	55.99	224	0.875	bilinear	-48.909	-44.434	-5
82	vit_base_patch32_384	32.547	67.453	52.438	47.562	88.30	384	1.000	bicubic	-49.117	-43.690	-11
83	wide_resnet50_2	32.431	67.569	51.534	48.466	68.88	224	0.875	bicubic	-48.875	-44.054	-3
84	ens_adv_inception_resnet_v2	32.408	67.592	50.435	49.565	55.84	299	0.897	bicubic	-47.522	-44.515	+46
85	resnetv2_50x3_bitm	32.384	67.616	54.271	45.729	217.32	480	1.000	bilinear	-51.416	-42.839	-46
86	vit_deit_base_patch16_224	32.355	67.645	50.986	49.014	86.57	224	0.900	bicubic	-49.639	-44.752	-21
87	gluon_resnet152_v1s	32.309	67.691	50.547	49.453	60.32	224	0.875	bicubic	-48.710	-44.879	0
88	vit_deit_small_distilled_patch16_224	32.292	67.708	52.119	47.881	22.44	224	0.900	bicubic	-48.958	-43.277	-6
89	gluon_seresnext101_64x4d	32.239	67.761	50.359	49.641	88.23	224	0.875	bicubic	-48.613	-44.977	+3
90	gluon_seresnext101_32x4d	32.062	67.938	51.288	48.712	48.96	224	0.875	bicubic	-48.816	-43.986	+1
91	vit_deit_base_patch16_384	32.021	67.979	50.573	49.427	86.86	384	1.000	bicubic	-51.071	-45.779	-45
92	seresnext50_32x4d	31.991	68.009	51.192	48.808	27.56	224	0.875	bicubic	-49.279	-44.464	-11
93	cspresnext50	31.838	68.162	51.599	48.401	20.57	224	0.875	bilinear	-48.168	-43.333	+35
94	resnet50	31.518	68.482	50.184	49.816	25.56	224	0.875	bicubic	-47.486	-44.208	+81
95	ssl_resnext101_32x4d	31.353	68.647	52.070	47.930	44.18	224	0.875	bilinear	-49.671	-43.678	-9
96	rexnet_150	31.327	68.673	51.223	48.777	9.73	224	0.875	bicubic	-49.023	-43.979	+14
97	cspresnet50	31.299	68.701	51.198	48.802	21.62	256	0.887	bilinear	-48.282	-43.514	+51
98	inception_v4	31.294	68.706	49.244	50.756	42.68	299	0.875	bicubic	-48.860	-45.718	+24
99	ecaresnetlight	31.123	68.877	50.221	49.779	30.16	224	0.875	bicubic	-49.337	-44.981	+4
100	ecaresnet50d	31.097	68.903	50.811	49.189	25.58	224	0.875	bicubic	-49.517	-44.503	-1
101	resnet50d	31.072	68.928	49.820	50.180	25.58	224	0.875	bicubic	-49.421	-45.308	0
102	ecaresnet50t	31.064	68.936	50.681	49.319	25.57	320	0.950	bicubic	-51.284	-45.463	-46
103	gluon_resnet101_v1s	31.056	68.944	49.789	50.211	44.67	224	0.875	bicubic	-49.240	-45.387	+11
104	tf_efficientnet_cc_b0_8e	31.052	68.948	50.795	49.205	24.01	224	0.875	bicubic	-46.874	-42.803	+108
105	cspdarknet53	31.020	68.980	50.423	49.577	27.64	256	0.887	bilinear	-49.029	-44.652	+20
106	gluon_resnet152_v1c	31.020	68.980	48.934	51.066	60.21	224	0.875	bicubic	-48.829	-45.956	+29
107	tresnet_m	30.942	69.058	48.682	51.318	31.39	224	0.875	bilinear	-49.778	-46.174	-11
108	gluon_resnext101_64x4d	30.916	69.084	48.529	51.471	83.46	224	0.875	bicubic	-49.720	-46.461	-10
109	tf_efficientnet_cc_b1_8e	30.895	69.105	50.060	49.940	39.72	240	0.882	bicubic	-48.393	-44.298	+50
110	ecaresnet101d_pruned	30.871	69.129	49.968	50.032	24.88	224	0.875	bicubic	-50.015	-45.604	-20
111	gluon_resnext101_32x4d	30.859	69.141	48.584	51.416	44.18	224	0.875	bicubic	-49.359	-46.324	+9
112	nf_resnet50	30.761	69.239	50.040	49.960	25.56	288	0.940	bicubic	-49.905	-45.318	-15
113	tf_efficientnet_lite4	30.735	69.264	50.262	49.738	13.01	380	0.920	bilinear	-50.781	-45.362	-39
114	dpn107	30.627	69.373	48.842	51.158	86.92	224	0.875	bicubic	-49.553	-46.064	+7
115	ese_vovnet39b	30.625	69.374	49.924	50.076	24.57	224	0.875	bicubic	-48.581	-44.804	+51
116	gluon_resnet152_v1b	30.612	69.388	48.535	51.465	60.19	224	0.875	bicubic	-49.022	-46.223	+30
117	tresnet_xl_448	30.602	69.398	49.087	50.913	78.44	448	0.875	bilinear	-52.440	-47.095	-69
118	ssl_resnext50_32x4d	30.600	69.400	50.642	49.358	25.03	224	0.875	bilinear	-49.732	-44.740	-7
119	gluon_resnet101_v1d	30.561	69.439	47.985	52.015	44.57	224	0.875	bicubic	-49.869	-47.029	-13
120	dpn68b	30.527	69.473	49.170	50.830	12.61	224	0.875	bicubic	-48.613	-45.254	+48
121	resnest26d	30.514	69.487	50.640	49.360	17.07	224	0.875	bilinear	-47.926	-43.656	+75
122	efficientnet_b2a	30.409	69.591	49.712	50.288	9.11	288	1.000	bicubic	-50.199	-45.586	-22
123	tf_efficientnet_b1_ap	30.390	69.610	49.545	50.455	7.79	240	0.882	bicubic	-48.900	-44.781	+35
124	seresnet50	30.087	69.913	49.297	50.703	28.09	224	0.875	bicubic	-50.205	-45.751	-9
125	legacy_senet154	30.048	69.952	48.006	51.994	115.09	224	0.875	bilinear	-51.274	-47.448	-46
126	dpn98	30.040	69.960	48.185	51.815	61.57	224	0.875	bicubic	-49.648	-46.459	+17
127	tf_efficientnet_b2	30.001	69.999	49.559	50.441	9.11	260	0.890	bicubic	-50.023	-45.385	0
128	dpn131	29.999	70.001	48.118	51.882	79.25	224	0.875	bicubic	-49.867	-46.608	+6
129	dpn92	29.912	70.088	49.064	50.936	37.67	224	0.875	bicubic	-50.122	-45.754	-3
130	gluon_senet154	29.843	70.157	47.851	52.149	115.09	224	0.875	bicubic	-51.373	-47.469	-47
131	gluon_xception65	29.834	70.166	47.755	52.245	39.92	299	0.903	bicubic	-49.922	-47.097	+9
132	xception	29.814	70.186	48.678	51.322	22.86	299	0.897	bicubic	-49.214	-45.692	+42
133	adv_inception_v3	29.804	70.196	47.881	52.119	23.83	299	0.875	bicubic	-47.758	-45.805	+90
134	resnetblur50	29.657	70.343	48.201	51.799	25.56	224	0.875	bicubic	-49.605	-46.421	+26
135	efficientnet_b2	29.641	70.359	48.751	51.249	9.11	260	0.875	bicubic	-50.673	-46.361	-23
136	vit_deit_small_patch16_224	29.468	70.532	48.262	51.738	22.05	224	0.900	bicubic	-50.400	-46.780	-3
137	efficientnet_em	29.460	70.540	48.916	51.084	6.90	240	0.882	bicubic	-49.770	-45.876	+26
138	nf_regnet_b1	29.445	70.555	49.439	50.561	10.22	288	0.900	bicubic	-49.879	-45.333	+18
139	ssl_resnet50	29.439	70.561	49.852	50.148	25.56	224	0.875	bilinear	-49.801	-45.062	+21
140	resnext101_32x8d	29.439	70.561	48.500	51.500	88.79	224	0.875	bilinear	-49.771	-46.056	+26
141	resnext50_32x4d	29.352	70.648	47.331	52.669	25.03	224	0.875	bicubic	-50.370	-47.275	+1
142	resnet34d	29.331	70.669	48.395	51.605	21.82	224	0.875	bicubic	-47.766	-45.029	+95
143	ecaresnet50d_pruned	29.201	70.799	48.517	51.483	19.94	224	0.875	bicubic	-50.475	-46.405	+2
144	tresnet_l_448	29.140	70.860	47.252	52.748	55.99	448	0.875	bilinear	-53.150	-48.726	-87
145	gluon_inception_v3	29.108	70.891	46.941	53.059	23.83	299	0.875	bicubic	-49.721	-47.457	+37
146	hrnet_w64	28.985	71.015	47.128	52.872	128.06	224	0.875	bilinear	-50.503	-47.510	+6
147	xception71	28.979	71.021	47.433	52.567	42.34	299	0.903	bicubic	-50.867	-47.503	-11
148	tf_efficientnet_b0_ns	28.932	71.068	49.038	50.962	5.29	224	0.875	bicubic	-49.668	-45.350	+41
149	resnetv2_101x1_bitm	28.881	71.120	49.571	50.429	44.54	480	1.000	bilinear	-53.328	-46.889	-90
150	tf_efficientnet_b1	28.867	71.133	47.495	52.505	7.79	240	0.882	bicubic	-49.965	-46.711	+31
151	xception65	28.857	71.143	47.187	52.813	39.92	299	0.903	bicubic	-50.735	-47.471	-4
152	gluon_resnet101_v1b	28.839	71.161	46.395	53.605	44.55	224	0.875	bicubic	-50.521	-48.113	+3
153	skresnext50_32x4d	28.806	71.194	46.486	53.514	27.48	224	0.875	bicubic	-51.348	-48.216	-30
154	skresnet34	28.662	71.338	47.965	52.035	22.28	224	0.875	bicubic	-48.248	-45.307	+88
155	tf_efficientnet_lite3	28.649	71.351	47.309	52.691	8.20	300	0.904	bilinear	-51.109	-47.555	-16
156	hrnet_w40	28.615	71.385	47.429	52.571	57.56	224	0.875	bilinear	-50.291	-47.005	+22
157	gluon_seresnext50_32x4d	28.576	71.424	46.348	53.652	27.56	224	0.875	bicubic	-51.372	-48.488	-28
158	tv_resnet152	28.570	71.430	47.110	52.890	60.19	224	0.875	bilinear	-49.680	-46.872	+43
159	repvgg_b2	28.399	71.601	47.036	52.964	89.02	224	0.875	bilinear	-50.483	-47.310	+21
160	tf_efficientnet_b0_ap	28.391	71.609	47.578	52.422	5.29	224	0.875	bicubic	-48.681	-45.684	+78
161	gluon_resnext50_32x4d	28.381	71.619	45.285	54.715	25.03	224	0.875	bicubic	-50.939	-49.215	-4
162	hrnet_w48	28.360	71.640	47.490	52.510	77.47	224	0.875	bilinear	-50.876	-47.032	0
163	dla102x2	28.334	71.666	46.802	53.198	41.28	224	0.875	bilinear	-51.094	-47.826	-10
164	efficientnet_b2_pruned	28.322	71.678	46.994	53.006	8.31	260	0.890	bicubic	-51.510	-47.812	-26
165	dla169	28.309	71.691	47.331	52.669	53.39	224	0.875	bilinear	-50.423	-47.004	+20
166	tf_efficientnet_cc_b0_4e	28.295	71.705	47.350	52.650	13.31	224	0.875	bicubic	-49.001	-46.010	+67
167	mixnet_xl	28.264	71.737	46.737	53.263	11.90	224	0.875	bicubic	-52.161	-48.151	-60
168	gluon_resnet50_v1d	28.203	71.797	45.896	54.104	25.58	224	0.875	bicubic	-50.869	-48.582	+5
169	densenet161	28.138	71.862	46.623	53.377	28.68	224	0.875	bicubic	-49.200	-47.065	+60
170	wide_resnet101_2	28.100	71.900	46.497	53.503	126.89	224	0.875	bilinear	-50.810	-47.847	+7
171	gluon_resnet101_v1c	28.093	71.907	45.943	54.057	44.57	224	0.875	bicubic	-51.457	-48.699	-21
172	regnetx_320	28.079	71.921	45.165	54.835	107.81	224	0.875	bicubic	-52.235	-49.903	-59
173	regnety_320	28.041	71.959	45.456	54.544	145.05	224	0.875	bicubic	-52.741	-49.806	-79
174	gernet_s	28.018	71.982	46.654	53.346	8.17	224	0.875	bilinear	-48.856	-46.474	+69
175	xception41	27.894	72.106	45.977	54.023	26.97	299	0.903	bicubic	-50.602	-48.279	+18
176	regnetx_160	27.859	72.141	45.605	54.395	54.28	224	0.875	bicubic	-52.025	-49.221	-44
177	tf_inception_v3	27.764	72.236	45.786	54.214	23.83	299	0.875	bicubic	-50.040	-47.938	+40
178	res2net101_26w_4s	27.741	72.259	45.169	54.831	45.21	224	0.875	bilinear	-51.379	-49.263	-8
179	repvgg_b1	27.650	72.350	46.501	53.499	57.42	224	0.875	bilinear	-50.792	-47.657	+16
180	regnety_160	27.621	72.379	45.525	54.475	83.59	224	0.875	bicubic	-52.793	-49.455	-72
181	hrnet_w44	27.603	72.397	45.839	54.161	67.06	224	0.875	bilinear	-51.283	-48.571	-2
182	inception_v3	27.584	72.416	45.269	54.731	23.83	299	0.875	bicubic	-49.826	-48.205	+46
183	hrnet_w30	27.460	72.540	46.544	53.456	37.71	224	0.875	bilinear	-50.674	-47.648	+22
184	regnetx_080	27.377	72.623	44.959	55.041	39.57	224	0.875	bicubic	-51.797	-49.597	-17
185	hrnet_w32	27.367	72.633	45.975	54.025	41.23	224	0.875	bilinear	-51.057	-48.227	+12
186	gluon_resnet50_v1s	27.350	72.650	45.253	54.747	25.68	224	0.875	bicubic	-51.438	-48.987	-2
187	densenetblur121d	27.289	72.711	46.387	53.613	8.00	224	0.875	bicubic	-49.185	-46.709	+65
188	regnety_064	27.269	72.731	44.855	55.145	30.58	224	0.875	bicubic	-52.467	-49.903	-47
189	densenet201	27.259	72.741	46.230	53.770	20.01	224	0.875	bicubic	-50.061	-47.252	+42
190	efficientnet_b1_pruned	27.157	72.843	45.823	54.177	6.33	240	0.882	bicubic	-51.117	-47.985	+10
191	rexnet_130	27.092	72.908	45.900	54.100	7.56	224	0.875	bicubic	-52.424	-48.760	-40
192	vit_small_patch16_224	27.077	72.923	45.642	54.358	48.75	224	0.900	bicubic	-50.795	-47.749	+23
193	res2net50_26w_8s	27.061	72.939	44.469	55.531	48.40	224	0.875	bilinear	-52.069	-49.935	-24
194	tv_resnet101	27.000	73.000	45.177	54.823	44.55	224	0.875	bilinear	-50.314	-48.379	+38
195	dla102x	26.992	73.008	45.497	54.503	26.31	224	0.875	bilinear	-51.536	-48.709	-5
196	resnext50d_32x4d	26.858	73.141	44.432	55.568	25.05	224	0.875	bicubic	-52.830	-50.412	-52
197	densenet169	26.843	73.157	45.299	54.701	14.15	224	0.875	bicubic	-49.107	-47.695	+60
198	legacy_seresnext101_32x4d	26.835	73.165	43.450	56.550	48.96	224	0.875	bilinear	-53.447	-51.575	-81
199	regnetx_064	26.835	73.165	44.921	55.079	26.21	224	0.875	bicubic	-52.243	-49.539	-27
200	regnetx_120	26.803	73.197	44.693	55.307	46.11	224	0.875	bicubic	-52.771	-49.999	-51
201	rexnet_100	26.778	73.222	45.363	54.637	4.80	224	0.875	bicubic	-51.108	-48.495	+13
202	regnety_120	26.758	73.242	44.475	55.525	51.82	224	0.875	bicubic	-53.616	-50.633	-93
203	regnetx_032	26.688	73.312	45.234	54.766	15.30	224	0.875	bicubic	-51.460	-48.832	+1
204	legacy_seresnet152	26.656	73.344	44.025	55.975	66.82	224	0.875	bilinear	-51.988	-50.365	-18
205	dla60x	26.648	73.352	45.049	54.951	17.35	224	0.875	bilinear	-51.578	-48.939	-3
206	densenet121	26.623	73.377	45.833	54.167	7.98	224	0.875	bicubic	-48.907	-46.783	+56
207	res2net50_26w_6s	26.603	73.397	43.939	56.061	37.05	224	0.875	bilinear	-52.001	-50.225	-19
208	efficientnet_es	26.591	73.409	45.104	54.896	5.44	224	0.875	bicubic	-51.441	-48.796	+1
209	regnety_080	26.570	73.430	44.371	55.629	39.18	224	0.875	bicubic	-53.270	-50.477	-72
210	repvgg_b1g4	26.544	73.456	45.090	54.910	39.97	224	0.875	bilinear	-50.996	-48.704	+14
211	tf_efficientnet_b0	26.491	73.509	45.666	54.334	5.29	224	0.875	bicubic	-50.339	-47.606	+34
212	res2net50_14w_8s	26.467	73.533	44.357	55.643	25.06	224	0.875	bilinear	-51.651	-49.479	-6
213	gluon_resnet50_v1b	26.375	73.625	44.045	55.955	25.56	224	0.875	bicubic	-51.289	-49.629	+6
214	tf_efficientnet_el	26.340	73.660	44.188	55.812	10.59	300	0.904	bicubic	-53.952	-50.932	-98
215	regnetx_040	26.232	73.768	44.404	55.596	22.12	224	0.875	bicubic	-52.262	-49.865	-21
216	dpn68	26.122	73.878	44.226	55.774	12.61	224	0.875	bicubic	-50.256	-48.752	+37
217	hrnet_w18	25.917	74.083	44.843	55.157	21.30	224	0.875	bilinear	-50.915	-48.561	+27
218	regnety_040	25.915	74.085	43.860	56.140	20.65	224	0.875	bicubic	-53.301	-50.802	-54
219	tresnet_m_448	25.856	74.144	42.883	57.117	31.39	448	0.875	bilinear	-55.836	-52.677	-150
220	res2net50_26w_4s	25.839	74.161	43.141	56.859	25.70	224	0.875	bilinear	-52.127	-50.689	-10
221	resnet34	25.835	74.165	43.939	56.061	21.80	224	0.875	bilinear	-49.261	-48.307	+49
222	gluon_resnet50_v1c	25.801	74.199	43.031	56.969	25.58	224	0.875	bicubic	-52.125	-50.975	-11
223	selecsls60	25.793	74.207	44.011	55.989	30.67	224	0.875	bicubic	-52.121	-49.811	-10
224	dla60_res2net	25.650	74.350	43.611	56.389	20.85	224	0.875	bilinear	-52.872	-50.641	-33
225	dla60_res2next	25.648	74.352	43.617	56.383	17.03	224	0.875	bilinear	-52.674	-50.573	-26
226	mixnet_l	25.558	74.442	43.508	56.492	7.33	224	0.875	bicubic	-53.374	-50.676	-50
227	ecaresnet26t	25.556	74.444	43.595	56.405	16.01	320	0.950	bicubic	-54.328	-51.477	-96
228	tf_efficientnet_lite1	25.522	74.478	43.538	56.462	5.42	240	0.882	bicubic	-51.106	-49.710	+19
229	efficientnet_b1	25.497	74.503	43.267	56.733	7.79	240	0.875	bicubic	-53.107	-50.827	-42
230	repvgg_a2	25.467	74.533	44.010	55.990	28.21	224	0.875	bilinear	-51.021	-49.013	+21
231	tv_resnext50_32x4d	25.465	74.535	42.768	57.232	25.03	224	0.875	bilinear	-52.163	-50.912	-11
232	res2next50	25.428	74.572	42.502	57.498	24.67	224	0.875	bilinear	-52.652	-51.450	-25
233	tf_mixnet_l	25.412	74.588	42.571	57.429	7.33	224	0.875	bicubic	-53.390	-51.483	-50
234	dla102	25.322	74.678	43.898	56.102	33.27	224	0.875	bilinear	-52.732	-50.021	-26
235	legacy_seresnet101	25.306	74.694	42.874	57.126	49.33	224	0.875	bilinear	-53.114	-51.300	-37
236	selecsls60b	25.302	74.698	43.485	56.515	32.77	224	0.875	bicubic	-53.194	-50.707	-44
237	legacy_seresnext50_32x4d	25.292	74.708	41.923	58.077	27.56	224	0.875	bilinear	-53.816	-52.555	-66
238	resnest14d	25.282	74.718	44.011	55.989	10.61	224	0.875	bilinear	-50.305	-48.477	+22
239	res2net50_48w_2s	25.066	74.934	42.157	57.843	25.29	224	0.875	bilinear	-52.452	-51.425	-14
240	efficientnet_b0	24.976	75.024	42.762	57.238	5.29	224	0.875	bicubic	-52.634	-50.802	-18
241	gluon_resnet34_v1b	24.976	75.024	42.235	57.765	21.80	224	0.875	bicubic	-49.520	-49.773	+38
242	mobilenetv2_120d	24.876	75.124	43.082	56.918	5.83	224	0.875	bicubic	-52.452	-50.396	-12
243	dla60	24.868	75.132	43.281	56.719	22.04	224	0.875	bilinear	-52.056	-50.010	-3
244	regnety_016	24.842	75.158	42.650	57.350	11.20	224	0.875	bicubic	-52.962	-51.000	-26
245	tf_efficientnet_lite2	24.510	75.490	42.316	57.684	6.09	260	0.890	bicubic	-52.930	-51.446	-18
246	skresnet18	24.471	75.529	42.605	57.395	11.96	224	0.875	bicubic	-48.529	-48.552	+43
247	regnetx_016	24.436	75.564	42.434	57.566	9.19	224	0.875	bicubic	-52.478	-50.938	-6
248	tf_efficientnet_lite0	24.326	75.674	42.477	57.523	4.65	224	0.875	bicubic	-50.542	-49.653	+27
249	resnetv2_50x1_bitm	24.206	75.794	43.469	56.531	25.55	480	1.000	bilinear	-55.946	-52.175	-125
250	tv_resnet50	24.157	75.844	41.331	58.669	25.56	224	0.875	bilinear	-51.855	-51.603	+6
251	legacy_seresnet34	24.058	75.942	41.889	58.111	21.96	224	0.875	bilinear	-50.854	-50.275	+23
252	resnet18d	23.964	76.036	42.329	57.671	11.71	224	0.875	bicubic	-48.416	-48.381	+41
253	efficientnet_lite0	23.836	76.164	42.094	57.906	4.65	224	0.875	bicubic	-51.608	-50.450	+11
254	tv_densenet121	23.832	76.168	41.915	58.085	7.98	224	0.875	bicubic	-50.914	-50.215	+22
255	mobilenetv2_140	23.709	76.291	41.473	58.527	6.11	224	0.875	bicubic	-52.829	-51.471	-5
256	mixnet_m	23.703	76.297	41.190	58.810	5.01	224	0.875	bicubic	-53.473	-52.236	-22
257	dla34	23.661	76.339	41.522	58.478	15.74	224	0.875	bilinear	-50.975	-50.600	+21
258	legacy_seresnet50	23.644	76.356	40.048	59.952	28.09	224	0.875	bilinear	-53.968	-53.748	-37
259	ese_vovnet19b_dw	23.496	76.504	41.262	58.738	6.54	224	0.875	bicubic	-53.276	-52.014	-13
260	tf_mixnet_m	23.477	76.523	40.956	59.044	5.01	224	0.875	bicubic	-53.487	-52.256	-21
261	tv_resnet34	23.467	76.533	41.420	58.580	21.80	224	0.875	bilinear	-49.799	-50.010	+27
262	selecsls42b	23.341	76.659	40.675	59.325	32.46	224	0.875	bicubic	-53.755	-52.717	-26
263	tf_efficientnet_em	23.314	76.686	40.425	59.575	6.90	240	0.882	bicubic	-54.846	-53.621	-60
264	repvgg_b0	23.302	76.698	41.146	58.854	15.82	224	0.875	bilinear	-51.912	-51.308	+3
265	mobilenetv2_110d	23.095	76.905	40.748	59.252	4.52	224	0.875	bicubic	-51.953	-51.385	+7
266	vit_deit_tiny_distilled_patch16_224	22.728	77.272	40.793	59.207	5.91	224	0.900	bicubic	-51.766	-51.091	+14
267	mobilenetv3_large_100	22.697	77.303	40.793	59.207	5.48	224	0.875	bicubic	-53.013	-51.703	-9
268	mobilenetv3_rw	22.640	77.361	40.352	59.648	5.48	224	0.875	bicubic	-52.903	-52.324	-7
269	tf_mobilenetv3_large_100	22.565	77.435	39.702	60.298	5.48	224	0.875	bilinear	-52.955	-52.848	-6
270	tf_efficientnet_es	22.392	77.608	39.071	60.929	5.44	224	0.875	bicubic	-54.170	-54.113	-21
271	hrnet_w18_small_v2	22.347	77.653	39.851	60.149	15.60	224	0.875	bilinear	-52.817	-52.579	-2
272	regnety_008	22.066	77.934	38.873	61.127	6.26	224	0.875	bicubic	-54.258	-54.227	-18
273	seresnext26t_32x4d	22.011	77.989	38.484	61.516	16.81	224	0.875	bicubic	-55.819	-55.244	-57
274	regnety_006	21.956	78.044	38.849	61.151	6.06	224	0.875	bicubic	-53.250	-53.711	-6
275	regnetx_008	21.930	78.070	38.987	61.013	7.26	224	0.875	bicubic	-53.096	-53.345	-2
276	resnet26d	21.916	78.084	38.564	61.436	16.01	224	0.875	bicubic	-54.684	-54.624	-28
277	semnasnet_100	21.897	78.103	38.645	61.355	3.89	224	0.875	bicubic	-53.529	-53.903	-12
278	regnetx_006	21.700	78.300	38.938	61.062	6.20	224	0.875	bicubic	-52.262	-52.746	+5
279	vgg19_bn	21.602	78.398	39.274	60.726	143.68	224	0.875	bilinear	-52.614	-52.574	+2
280	gluon_resnet18_v1b	21.506	78.494	38.843	61.157	11.69	224	0.875	bicubic	-49.416	-50.927	+21
281	fbnetc_100	21.498	78.502	38.122	61.878	5.57	224	0.875	bilinear	-53.584	-54.232	-10
282	mnasnet_100	21.396	78.604	37.654	62.346	4.38	224	0.875	bicubic	-53.296	-54.486	-5
283	seresnext26d_32x4d	21.317	78.683	37.281	62.719	16.81	224	0.875	bicubic	-56.201	-56.325	-57
284	resnet26	21.295	78.705	38.040	61.960	16.00	224	0.875	bicubic	-54.099	-54.544	-18
285	mixnet_s	21.282	78.718	38.173	61.827	4.13	224	0.875	bicubic	-54.780	-54.653	-30
286	ssl_resnet18	21.274	78.726	39.038	60.962	11.69	224	0.875	bilinear	-51.218	-52.404	+6
287	legacy_seresnext26_32x4d	21.095	78.905	37.609	62.391	16.79	224	0.875	bicubic	-56.021	-55.749	-52
288	regnetx_004	20.914	79.086	37.576	62.424	5.16	224	0.875	bicubic	-51.622	-53.266	+3
289	spnasnet_100	20.822	79.178	37.853	62.147	4.42	224	0.875	bilinear	-53.298	-54.029	-7
290	legacy_seresnet18	20.767	79.233	37.611	62.389	11.78	224	0.875	bicubic	-50.985	-52.697	+8
291	mobilenetv2_100	20.724	79.276	37.759	62.241	3.50	224	0.875	bicubic	-52.233	-53.283	-1
292	tf_mixnet_s	20.490	79.510	36.611	63.389	4.13	224	0.875	bicubic	-55.168	-56.007	-33
293	regnety_004	20.427	79.573	37.016	62.984	4.34	224	0.875	bicubic	-53.515	-54.738	-9
294	tf_mobilenetv3_large_075	20.393	79.607	36.812	63.188	3.99	224	0.875	bilinear	-52.979	-54.592	-8
295	hrnet_w18_small	20.340	79.660	37.067	62.933	13.19	224	0.875	bilinear	-51.936	-53.519	0
296	resnet18	20.213	79.787	37.269	62.731	11.69	224	0.875	bilinear	-49.431	-51.713	+9
297	vit_deit_tiny_patch16_224	20.183	79.817	37.544	62.456	5.72	224	0.900	bicubic	-52.013	-53.547	0
298	tf_mobilenetv3_large_minimal_100	20.101	79.899	36.910	63.090	3.92	224	0.875	bilinear	-52.127	-53.772	-2
299	vgg16_bn	19.902	80.098	36.265	63.735	138.37	224	0.875	bilinear	-53.574	-55.271	-14
300	vgg19	17.876	82.124	33.064	66.936	143.67	224	0.875	bilinear	-54.484	-57.786	-6
301	vgg13_bn	17.819	82.181	34.078	65.922	133.05	224	0.875	bilinear	-53.799	-56.282	-1
302	vgg16	17.509	82.491	32.724	67.276	138.36	224	0.875	bilinear	-54.119	-57.644	-3
303	regnety_002	17.446	82.554	32.370	67.629	3.16	224	0.875	bicubic	-52.880	-57.185	0
304	vgg11_bn	17.328	82.672	32.966	67.034	132.87	224	0.875	bilinear	-53.080	-56.758	-2
305	regnetx_002	16.949	83.051	32.272	67.728	2.68	224	0.875	bicubic	-51.881	-56.238	+2
306	dla60x_c	16.359	83.641	31.753	68.247	1.32	224	0.875	bilinear	-51.593	-56.685	+2
307	tf_mobilenetv3_small_100	16.271	83.729	31.276	68.724	2.54	224	0.875	bilinear	-51.605	-56.406	+2
308	vgg13	16.116	83.885	31.032	68.968	133.05	224	0.875	bilinear	-53.868	-58.274	-4
309	vgg11	15.738	84.262	30.482	69.518	132.86	224	0.875	bilinear	-53.134	-58.176	-3
310	tf_mobilenetv3_small_075	14.917	85.083	29.549	70.451	2.04	224	0.875	bilinear	-50.815	-56.619	+1
311	dla46_c	14.681	85.319	29.417	70.583	1.30	224	0.875	bilinear	-50.249	-56.891	+1
312	dla46x_c	14.433	85.567	29.250	70.750	1.07	224	0.875	bilinear	-51.497	-57.754	-2
313	tf_mobilenetv3_small_minimal_100	13.956	86.044	28.043	71.957	2.04	224	0.875	bilinear	-48.788	-56.337	0