pytorch-image-models/results/results-imagenet-real.csv

1	model	top1	top1_err	top5	top5_err	param_count	img_size	cropt_pct	interpolation	top1_diff	top5_diff	rank_diff
2	tf_efficientnet_l2_ns	90.572	9.428	98.779	1.221	480.31	800	0.960	bicubic	+6.208	+1.739	-2
3	tf_efficientnet_l2_ns_475	90.525	9.475	98.706	1.294	480.31	475	0.936	bicubic	+6.785	+1.936	-2
4	tf_efficientnet_b7_ns	90.134	9.866	98.617	1.383	66.35	600	0.949	bicubic	+1.784	-0.040	-2
5	tf_efficientnet_b6_ns	89.767	10.233	98.503	1.497	43.04	528	0.942	bicubic	+1.527	-0.047	-2
6	tf_efficientnet_b5_ns	89.658	10.342	98.488	1.512	30.39	456	0.934	bicubic	+2.830	+0.404	-2
7	tf_efficientnet_b8_ap	89.589	10.411	98.300	1.700	87.41	672	0.954	bicubic	+3.511	+0.548	-1
8	tf_efficientnet_b7_ap	89.419	10.581	98.343	1.657	66.35	600	0.949	bicubic	+4.253	+0.981	+2
9	tf_efficientnet_b8	89.340	10.660	98.305	1.695	87.41	672	0.954	bicubic	+3.916	+0.727	-2
10	tf_efficientnet_b6_ap	89.338	10.662	98.281	1.719	43.04	528	0.942	bicubic	+4.390	+0.831	+5
11	tf_efficientnet_b4_ns	89.325	10.675	98.352	1.648	19.34	380	0.922	bicubic	+3.975	+0.962	-2
12	ig_resnext101_32x32d	89.115	10.885	98.181	1.819	468.53	224	0.875	bilinear	+3.965	+0.711	-1
13	ig_resnext101_32x48d	89.111	10.889	98.125	1.875	828.41	224	0.875	bilinear	+2.663	+0.245	-8
14	tf_efficientnet_b7	89.088	10.912	98.179	1.821	66.35	600	0.949	bicubic	+4.102	+0.883	0
15	tf_efficientnet_b5_ap	88.934	11.066	98.168	1.832	30.39	456	0.934	bicubic	+4.664	+0.998	+6
16	ig_resnext101_32x16d	88.817	11.184	98.049	1.951	194.03	224	0.875	bilinear	+4.614	+0.831	+7
17	vit_base_resnet50_384	88.804	11.196	98.241	1.759	98.95	384	1.000	bicubic	+3.684	+0.991	-5
18	seresnet152d_320	88.797	11.203	98.172	1.828	66.84	320	1.000	bicubic	+4.393	+0.738	+19
19	tf_efficientnet_b6	88.759	11.241	98.066	1.934	43.04	528	0.942	bicubic	+4.595	+0.872	+6
20	swsl_resnext101_32x8d	88.748	11.252	98.138	1.862	88.79	224	0.875	bilinear	+4.366	+0.772	+1
21	resnetv2_152x2_bitm	88.656	11.344	98.320	1.680	236.34	480	1.000	bilinear	+3.870	+1.182	-3
22	resnetv2_152x4_bitm	88.556	11.444	98.185	1.815	936.53	480	1.000	bilinear	+3.466	+0.745	-8
23	resnet200d_320	88.528	11.472	97.957	2.043	64.69	320	1.000	bicubic	+4.484	+1.047	+4
24	resnest269e	88.526	11.474	98.021	1.979	110.93	416	0.928	bicubic	+3.592	+0.817	-7
25	resnetv2_101x3_bitm	88.443	11.557	98.164	1.836	387.93	480	1.000	bilinear	+3.917	+1.178	-6
26	tf_efficientnet_b3_ns	88.439	11.561	98.031	1.968	12.23	300	0.904	bicubic	+4.325	+1.144	0
27	resnest200e	88.421	11.579	98.049	1.951	70.20	320	0.909	bicubic	+4.454	+1.231	+1
28	vit_large_patch16_384	88.407	11.593	98.187	1.813	304.72	384	1.000	bicubic	+3.033	+0.889	-19
29	vit_base_patch16_384	88.385	11.615	98.149	1.851	86.86	384	1.000	bicubic	+4.131	+1.175	-6
30	seresnet152d	88.379	11.621	98.036	1.964	66.84	256	0.940	bicubic	+4.627	+0.916	+29
31	tf_efficientnet_b4_ap	88.349	11.651	97.891	2.109	19.34	380	0.922	bicubic	+5.093	+1.497	+4
32	resnet152d_320	88.347	11.653	97.929	2.071	60.21	320	1.000	bicubic	+4.681	+1.195	+1
33	tf_efficientnet_b5	88.313	11.687	97.914	2.086	30.39	456	0.934	bicubic	+4.461	+1.024	-3
34	resnetv2_50x3_bitm	88.308	11.692	98.113	1.887	217.32	480	1.000	bilinear	+4.500	+1.367	-3
35	ig_resnext101_32x8d	88.150	11.850	97.861	2.139	88.79	224	0.875	bilinear	+5.454	+1.217	+9
36	swsl_resnext101_32x4d	88.086	11.914	97.974	2.026	44.18	224	0.875	bilinear	+4.864	+1.206	+1
37	resnet152d	87.986	12.014	97.709	2.291	60.21	256	0.940	bicubic	+4.852	+1.359	+1
38	tf_efficientnet_b4	87.960	12.040	97.737	2.263	19.34	380	0.922	bicubic	+4.934	+1.439	+3
39	resnet101d_320	87.948	12.052	97.903	2.097	44.57	320	1.000	bicubic	+4.924	+1.447	+3
40	resnet200d	87.943	12.057	97.773	2.227	64.69	256	0.940	bicubic	+4.701	+1.285	-4
41	tresnet_xl_448	87.794	12.206	97.468	2.532	78.44	448	0.875	bilinear	+4.738	+1.282	-1
42	resnetv2_101x1_bitm	87.634	12.366	97.953	2.047	44.54	480	1.000	bilinear	+5.420	+1.480	+8
43	swsl_resnext101_32x16d	87.602	12.398	97.820	2.180	194.03	224	0.875	bilinear	+4.258	+0.980	-9
44	swsl_resnext50_32x4d	87.597	12.403	97.651	2.349	25.03	224	0.875	bilinear	+5.425	+1.419	+8
45	tf_efficientnet_b2_ns	87.561	12.439	97.626	2.374	9.11	260	0.890	bicubic	+5.169	+1.388	+1
46	efficientnet_b3a	87.452	12.548	97.679	2.321	12.23	320	1.000	bicubic	+5.198	+1.565	+3
47	resnet101d	87.386	12.614	97.572	2.428	44.57	256	0.940	bicubic	+5.076	+1.508	0
48	tresnet_l_448	87.373	12.627	97.485	2.515	55.99	448	0.875	bilinear	+5.113	+1.507	0
49	nasnetalarge	87.350	12.650	97.412	2.588	88.75	331	0.911	bicubic	+4.724	+1.362	-4
50	efficientnet_b3	87.328	12.672	97.605	2.396	12.23	300	0.904	bicubic	+5.246	+1.578	+3
51	ecaresnet101d	87.286	12.714	97.562	2.438	44.57	224	0.875	bicubic	+5.110	+1.506	0
52	resnest101e	87.262	12.738	97.558	2.442	48.28	256	0.875	bilinear	+4.384	+1.244	-9
53	regnety_032	87.254	12.746	97.521	2.479	19.44	224	0.875	bicubic	+5.246	+1.609	+2
54	tresnet_xl	87.224	12.776	97.400	2.600	78.44	224	0.875	bilinear	+5.170	+1.468	0
55	tf_efficientnet_b3_ap	87.196	12.804	97.382	2.618	12.23	300	0.904	bicubic	+5.374	+1.762	+2
56	vit_base_patch32_384	87.014	12.986	97.656	2.344	88.30	384	1.000	bicubic	+5.358	+1.526	+4
57	vit_large_patch16_224	86.993	13.007	97.692	2.308	304.33	224	0.900	bicubic	+3.933	+1.248	-18
58	rexnet_200	86.854	13.146	97.282	2.718	16.37	224	0.875	bicubic	+5.228	+1.610	+4
59	ssl_resnext101_32x16d	86.844	13.156	97.519	2.481	194.03	224	0.875	bilinear	+5.006	+1.427	-3
60	tf_efficientnet_b3	86.842	13.158	97.293	2.707	12.23	300	0.904	bicubic	+5.196	+1.571	+1
61	tresnet_m_448	86.816	13.184	97.205	2.795	31.39	448	0.875	bilinear	+5.098	+1.639	-2
62	ssl_resnext101_32x8d	86.803	13.197	97.466	2.534	88.79	224	0.875	bilinear	+5.197	+1.422	+1
63	tf_efficientnet_lite4	86.801	13.199	97.254	2.746	13.01	380	0.920	bilinear	+5.265	+1.594	+1
64	swsl_resnet50	86.790	13.210	97.493	2.507	25.56	224	0.875	bilinear	+5.654	+1.519	+7
65	vit_base_patch16_224	86.758	13.242	97.440	2.560	86.57	224	0.900	bicubic	+4.974	+1.314	-7
66	tresnet_l	86.754	13.246	97.271	2.729	55.99	224	0.875	bilinear	+5.268	+1.651	-1
67	seresnext50_32x4d	86.709	13.291	97.203	2.797	27.56	224	0.875	bicubic	+5.435	+1.585	+2
68	tf_efficientnet_b1_ns	86.684	13.316	97.380	2.620	7.79	240	0.882	bicubic	+5.298	+1.640	-1
69	wide_resnet50_2	86.649	13.351	97.212	2.788	68.88	224	0.875	bicubic	+5.197	+1.690	-3
70	resnest50d_4s2x40d	86.585	13.415	97.269	2.731	30.42	224	0.875	bicubic	+5.471	+1.715	+1
71	efficientnet_b3_pruned	86.585	13.415	97.186	2.814	9.86	300	0.904	bicubic	+5.727	+1.946	+9
72	ecaresnet50d	86.477	13.524	97.186	2.814	25.58	224	0.875	bicubic	+5.863	+1.878	+12
73	ssl_resnext101_32x4d	86.474	13.526	97.468	2.532	44.18	224	0.875	bilinear	+5.560	+1.734	+3
74	gluon_resnet152_v1s	86.449	13.551	97.120	2.880	60.32	224	0.875	bicubic	+5.431	+1.700	-1
75	resnest50d_1s4x24d	86.442	13.558	97.150	2.850	25.68	224	0.875	bicubic	+5.438	+1.824	-1
76	legacy_senet154	86.338	13.662	96.928	3.072	115.09	224	0.875	bilinear	+5.012	+1.420	-8
77	efficientnet_b2a	86.310	13.690	96.990	3.010	9.11	288	1.000	bicubic	+5.696	+1.672	+8
78	gluon_senet154	86.280	13.720	96.938	3.062	115.09	224	0.875	bicubic	+5.052	+1.586	-8
79	resnest50d	86.229	13.771	97.069	2.931	27.48	224	0.875	bilinear	+5.271	+1.691	-4
80	tresnet_m	86.190	13.810	96.667	3.333	31.39	224	0.875	bilinear	+5.386	+1.809	+1
81	ecaresnet101d_pruned	86.182	13.818	97.342	2.658	24.88	224	0.875	bicubic	+5.366	+1.704	-1
82	rexnet_150	86.163	13.837	97.066	2.934	9.73	224	0.875	bicubic	+5.853	+1.904	+13
83	resnetv2_50x1_bitm	86.154	13.846	97.558	2.442	25.55	480	1.000	bilinear	+5.962	+1.928	+20
84	tf_efficientnet_el	86.152	13.848	96.985	3.015	10.59	300	0.904	bicubic	+5.704	+1.815	+6
85	cspdarknet53	86.150	13.850	97.013	2.987	27.64	256	0.887	bilinear	+6.102	+1.921	+22
86	ssl_resnext50_32x4d	86.082	13.918	97.212	2.788	25.03	224	0.875	bilinear	+5.780	+1.800	+10
87	ecaresnetlight	86.043	13.957	97.073	2.927	30.16	224	0.875	bicubic	+5.585	+1.823	+2
88	efficientnet_b2	86.041	13.959	96.923	3.077	9.11	260	0.875	bicubic	+5.663	+1.845	+4
89	gluon_resnet101_v1s	86.037	13.963	97.024	2.976	44.67	224	0.875	bicubic	+5.751	+1.864	+9
90	gluon_seresnext101_32x4d	86.009	13.991	96.979	3.021	48.96	224	0.875	bicubic	+5.137	+1.687	-12
91	resnet50d	86.002	13.998	96.981	3.019	25.58	224	0.875	bicubic	+5.454	+1.823	-5
92	tf_efficientnet_b2_ap	85.975	14.025	96.808	3.192	9.11	260	0.890	bicubic	+5.673	+1.776	+5
93	gluon_seresnext101_64x4d	85.949	14.051	96.990	3.010	88.23	224	0.875	bicubic	+5.065	+1.676	-16
94	gluon_resnet152_v1d	85.906	14.094	96.806	3.194	60.21	224	0.875	bicubic	+5.428	+1.606	-7
95	tf_efficientnet_b2	85.885	14.115	96.855	3.145	9.11	260	0.890	bicubic	+5.813	+1.951	+11
96	seresnet50	85.836	14.164	96.998	3.002	28.09	224	0.875	bicubic	+5.578	+1.932	+4
97	gluon_resnet101_v1d	85.832	14.168	96.663	3.337	44.57	224	0.875	bicubic	+5.430	+1.643	-6
98	resnet50	85.810	14.190	96.714	3.286	25.56	224	0.875	bicubic	+6.774	+2.322	+53
99	mixnet_xl	85.795	14.205	96.718	3.282	11.90	224	0.875	bicubic	+5.321	+1.784	-11
100	tf_efficientnet_lite3	85.766	14.235	96.891	3.109	8.20	300	0.904	bilinear	+5.939	+1.983	+17
101	cspresnext50	85.757	14.243	96.840	3.160	20.57	224	0.875	bilinear	+5.711	+1.896	+7
102	ese_vovnet39b	85.748	14.252	96.900	3.100	24.57	224	0.875	bicubic	+6.436	+2.178	+33
103	gluon_resnext101_32x4d	85.746	14.254	96.616	3.384	44.18	224	0.875	bicubic	+5.412	+1.708	-9
104	legacy_seresnext101_32x4d	85.738	14.262	96.765	3.235	48.96	224	0.875	bilinear	+5.510	+1.745	-2
105	regnety_320	85.727	14.273	96.725	3.275	145.05	224	0.875	bicubic	+4.929	+1.479	-23
106	cspresnet50	85.723	14.277	96.795	3.205	21.62	256	0.887	bilinear	+6.149	+2.087	+20
107	gluon_resnext101_64x4d	85.701	14.299	96.641	3.358	83.46	224	0.875	bicubic	+5.072	+1.644	-24
108	xception71	85.695	14.305	96.774	3.226	42.34	299	0.903	bicubic	+5.811	+1.842	+5
109	efficientnet_em	85.693	14.307	96.941	3.059	6.90	240	0.882	bicubic	+6.429	+2.150	+31
110	dpn107	85.640	14.360	96.729	3.271	86.92	224	0.875	bicubic	+5.484	+1.819	-6
111	efficientnet_b2_pruned	85.637	14.363	96.746	3.254	8.31	260	0.890	bicubic	+5.731	+1.890	+1
112	ecaresnet50d_pruned	85.578	14.422	96.934	3.066	19.94	224	0.875	bicubic	+5.866	+2.058	+8
113	gluon_resnet152_v1c	85.578	14.422	96.650	3.350	60.21	224	0.875	bicubic	+5.664	+1.802	-2
114	resnext50d_32x4d	85.565	14.435	96.746	3.254	25.05	224	0.875	bicubic	+5.897	+1.880	+9
115	regnety_120	85.535	14.465	96.774	3.226	51.82	224	0.875	bicubic	+5.157	+1.652	-22
116	regnetx_320	85.524	14.476	96.667	3.333	107.81	224	0.875	bicubic	+5.270	+1.637	-15
117	regnety_160	85.494	14.506	96.618	3.382	83.59	224	0.875	bicubic	+5.218	+1.650	-18
118	dpn92	85.482	14.518	96.635	3.365	37.67	224	0.875	bicubic	+5.492	+1.791	-9
119	gluon_resnet152_v1b	85.467	14.533	96.556	3.444	60.19	224	0.875	bicubic	+5.775	+1.822	+3
120	rexnet_130	85.467	14.533	96.684	3.316	7.56	224	0.875	bicubic	+5.973	+2.010	+9
121	dpn131	85.403	14.597	96.646	3.354	79.25	224	0.875	bicubic	+5.577	+1.934	-5
122	dla102x2	85.377	14.623	96.637	3.363	41.28	224	0.875	bilinear	+5.935	+1.991	+9
123	regnetx_160	85.373	14.627	96.633	3.367	54.28	224	0.875	bicubic	+5.535	+1.809	-8
124	gluon_seresnext50_32x4d	85.341	14.659	96.671	3.329	27.56	224	0.875	bicubic	+5.417	+1.849	-14
125	gluon_resnet101_v1c	85.317	14.683	96.413	3.587	44.57	224	0.875	bicubic	+5.785	+1.825	+3
126	xception65	85.315	14.685	96.633	3.367	39.92	299	0.903	bicubic	+5.765	+1.975	+1
127	dpn98	85.311	14.689	96.466	3.534	61.57	224	0.875	bicubic	+5.661	+1.860	-3
128	skresnext50_32x4d	85.311	14.689	96.392	3.608	27.48	224	0.875	bicubic	+5.165	+1.752	-23
129	regnety_064	85.289	14.711	96.633	3.367	30.58	224	0.875	bicubic	+5.557	+1.869	-10
130	dpn68b	85.285	14.715	96.471	3.529	12.61	224	0.875	bicubic	+6.073	+2.049	+13
131	resnetblur50	85.270	14.730	96.522	3.478	25.56	224	0.875	bicubic	+5.984	+1.882	+7
132	resnext50_32x4d	85.232	14.768	96.528	3.472	25.03	224	0.875	bicubic	+5.442	+1.922	-14
133	regnety_080	85.230	14.770	96.633	3.367	39.18	224	0.875	bicubic	+5.360	+1.803	-19
134	gluon_inception_v3	85.185	14.815	96.528	3.472	23.83	299	0.875	bicubic	+6.385	+2.148	+23
135	resnext101_32x8d	85.178	14.822	96.449	3.551	88.79	224	0.875	bilinear	+5.874	+1.923	+2
136	hrnet_w48	85.153	14.847	96.490	3.510	77.47	224	0.875	bilinear	+5.837	+1.976	-2
137	xception	85.146	14.854	96.477	3.523	22.86	299	0.897	bicubic	+6.100	+2.081	+13
138	regnetx_120	85.140	14.860	96.473	3.527	46.11	224	0.875	bicubic	+5.530	+1.741	-13
139	tf_efficientnet_b1_ap	85.127	14.873	96.407	3.593	7.79	240	0.882	bicubic	+5.851	+2.105	0
140	gluon_resnet101_v1b	85.125	14.875	96.368	3.632	44.55	224	0.875	bicubic	+5.821	+1.838	-4
141	hrnet_w64	85.123	14.877	96.746	3.254	128.06	224	0.875	bilinear	+5.661	+2.092	-11
142	gluon_xception65	85.121	14.879	96.599	3.401	39.92	299	0.903	bicubic	+5.419	+1.731	-21
143	ssl_resnet50	85.110	14.890	96.864	3.136	25.56	224	0.875	bilinear	+5.874	+2.034	-2
144	res2net101_26w_4s	85.089	14.911	96.383	3.617	45.21	224	0.875	bilinear	+5.895	+1.949	+1
145	tf_efficientnet_cc_b1_8e	85.072	14.928	96.426	3.574	39.72	240	0.882	bicubic	+5.746	+2.054	-12
146	res2net50_26w_8s	85.008	14.992	96.405	3.595	48.40	224	0.875	bilinear	+5.816	+2.037	0
147	tf_efficientnet_b0_ns	85.001	14.999	96.499	3.502	5.29	224	0.875	bicubic	+6.341	+2.126	+17
148	resnest26d	84.997	15.003	96.631	3.369	17.07	224	0.875	bilinear	+6.517	+2.331	+21
149	gluon_resnext50_32x4d	84.993	15.007	96.426	3.574	25.03	224	0.875	bicubic	+5.639	+2.002	-17
150	regnety_040	84.954	15.046	96.601	3.399	20.65	224	0.875	bicubic	+5.722	+1.957	-8
151	tf_efficientnet_em	84.926	15.074	96.424	3.576	6.90	240	0.882	bicubic	+6.214	+2.096	+8
152	tf_efficientnet_b1	84.916	15.084	96.362	3.638	7.79	240	0.882	bicubic	+6.072	+2.166	+4
153	legacy_seresnext50_32x4d	84.914	15.086	96.441	3.559	27.56	224	0.875	bilinear	+5.830	+2.007	-6
154	dla169	84.909	15.091	96.524	3.476	53.39	224	0.875	bilinear	+6.215	+2.194	+8
155	hrnet_w44	84.888	15.112	96.434	3.566	67.06	224	0.875	bilinear	+5.998	+2.060	-1
156	regnetx_080	84.871	15.129	96.430	3.570	39.57	224	0.875	bicubic	+5.659	+1.876	-12
157	gluon_resnet50_v1s	84.856	15.144	96.447	3.553	25.68	224	0.875	bicubic	+6.156	+2.201	+4
158	mixnet_l	84.824	15.176	96.328	3.672	7.33	224	0.875	bicubic	+5.844	+2.146	-7
159	dla60_res2next	84.824	15.176	96.411	3.589	17.03	224	0.875	bilinear	+6.380	+2.253	+14
160	tv_resnet152	84.822	15.178	96.225	3.775	60.19	224	0.875	bilinear	+6.502	+2.173	+15
161	dla60_res2net	84.820	15.180	96.477	3.523	20.85	224	0.875	bilinear	+6.360	+2.271	+9
162	dla102x	84.815	15.185	96.552	3.448	26.31	224	0.875	bilinear	+6.305	+2.322	+5
163	gluon_resnet50_v1d	84.813	15.187	96.394	3.606	25.58	224	0.875	bicubic	+5.749	+1.924	-14
164	xception41	84.809	15.191	96.411	3.589	26.97	299	0.903	bicubic	+6.273	+2.127	+2
165	regnetx_064	84.779	15.221	96.492	3.508	26.21	224	0.875	bicubic	+5.715	+2.032	-17
166	hrnet_w40	84.749	15.251	96.558	3.442	57.56	224	0.875	bilinear	+5.817	+2.080	-13
167	res2net50_26w_6s	84.724	15.276	96.276	3.724	37.05	224	0.875	bilinear	+6.158	+2.156	-2
168	legacy_seresnet152	84.698	15.302	96.422	3.578	66.82	224	0.875	bilinear	+6.032	+2.046	-5
169	selecsls60b	84.657	15.343	96.302	3.698	32.77	224	0.875	bicubic	+6.247	+2.124	+4
170	hrnet_w32	84.655	15.345	96.409	3.591	41.23	224	0.875	bilinear	+6.209	+2.219	+1
171	regnetx_040	84.602	15.398	96.390	3.610	22.12	224	0.875	bicubic	+6.118	+2.138	-3
172	efficientnet_es	84.598	15.402	96.313	3.687	5.44	224	0.875	bicubic	+6.510	+2.381	+10
173	hrnet_w30	84.585	15.415	96.396	3.604	37.71	224	0.875	bilinear	+6.379	+2.172	+6
174	tf_mixnet_l	84.559	15.441	96.247	3.753	7.33	224	0.875	bicubic	+5.783	+2.245	-16
175	wide_resnet101_2	84.555	15.445	96.349	3.651	126.89	224	0.875	bilinear	+5.701	+2.067	-20
176	efficientnet_b1	84.536	15.464	96.161	3.839	7.79	240	0.875	bicubic	+5.830	+2.007	-16
177	dla60x	84.527	15.473	96.291	3.709	17.35	224	0.875	bilinear	+6.277	+2.267	-1
178	legacy_seresnet101	84.504	15.496	96.338	3.662	49.33	224	0.875	bilinear	+6.124	+2.076	-4
179	efficientnet_b1_pruned	84.401	15.599	96.142	3.858	6.33	240	0.882	bicubic	+6.153	+2.306	-2
180	res2net50_26w_4s	84.378	15.622	96.082	3.918	25.70	224	0.875	bilinear	+6.386	+2.230	+5
181	res2net50_14w_8s	84.307	15.693	96.076	3.924	25.06	224	0.875	bilinear	+6.169	+2.220	0
182	selecsls60	84.284	15.716	96.089	3.911	30.67	224	0.875	bicubic	+6.294	+2.261	+4
183	regnetx_032	84.228	15.772	96.253	3.747	15.30	224	0.875	bicubic	+6.080	+2.165	-3
184	res2next50	84.222	15.778	96.001	3.999	24.67	224	0.875	bilinear	+5.986	+2.095	-6
185	gluon_resnet50_v1c	84.205	15.795	96.168	3.832	25.58	224	0.875	bicubic	+6.197	+2.180	-1
186	dla102	84.196	15.804	96.223	3.777	33.27	224	0.875	bilinear	+6.166	+2.271	-3
187	rexnet_100	84.173	15.827	96.257	3.743	4.80	224	0.875	bicubic	+6.311	+2.379	+5
188	tf_inception_v3	84.134	15.866	95.918	4.082	23.83	299	0.875	bicubic	+6.268	+2.272	+3
189	res2net50_48w_2s	84.119	15.881	95.965	4.035	25.29	224	0.875	bilinear	+6.585	+2.405	+11
190	resnet34d	84.104	15.896	95.975	4.025	21.82	224	0.875	bicubic	+6.990	+2.593	+21
191	tf_efficientnet_lite2	84.096	15.904	96.063	3.937	6.09	260	0.890	bicubic	+6.614	+2.315	+10
192	efficientnet_b0	84.043	15.957	95.960	4.040	5.29	224	0.875	bicubic	+6.337	+2.438	+2
193	seresnext26t_32x4d	83.985	16.015	95.867	4.133	16.82	224	0.875	bicubic	+5.997	+2.134	-6
194	tf_efficientnet_cc_b0_8e	83.970	16.030	96.067	3.933	24.01	224	0.875	bicubic	+6.062	+2.415	-5
195	regnety_016	83.955	16.045	96.001	3.999	11.20	224	0.875	bicubic	+6.087	+2.275	-5
196	tv_resnext50_32x4d	83.955	16.045	95.943	4.057	25.03	224	0.875	bilinear	+6.341	+2.259	0
197	gluon_resnet50_v1b	83.942	16.058	96.016	3.984	25.56	224	0.875	bicubic	+6.364	+2.298	+2
198	densenet161	83.902	16.098	96.010	3.990	28.68	224	0.875	bicubic	+6.542	+2.376	+6
199	seresnext26tn_32x4d	83.887	16.113	95.939	4.061	16.81	224	0.875	bicubic	+5.901	+2.195	-11
200	adv_inception_v3	83.882	16.118	95.941	4.059	23.83	299	0.875	bicubic	+6.300	+2.201	-2
201	mobilenetv2_120d	83.882	16.118	95.911	4.089	5.83	224	0.875	bicubic	+6.604	+2.401	+7
202	tv_resnet101	83.853	16.148	95.888	4.112	44.55	224	0.875	bilinear	+6.487	+2.332	+1
203	inception_v3	83.771	16.229	95.898	4.101	23.83	299	0.875	bicubic	+6.307	+2.422	-1
204	dla60	83.735	16.265	95.931	4.069	22.04	224	0.875	bilinear	+6.699	+2.607	+10
205	vit_small_patch16_224	83.731	16.269	95.753	4.247	48.75	224	0.900	bicubic	+5.877	+2.329	-12
206	seresnext26d_32x4d	83.727	16.273	95.845	4.155	16.81	224	0.875	bicubic	+6.141	+2.237	-9
207	legacy_seresnet50	83.665	16.335	95.975	4.025	28.09	224	0.875	bilinear	+6.029	+2.231	-12
208	tf_efficientnet_b0_ap	83.665	16.335	95.783	4.217	5.29	224	0.875	bicubic	+6.563	+2.519	+5
209	skresnet34	83.652	16.348	95.924	4.076	22.28	224	0.875	bicubic	+6.722	+2.602	+8
210	tf_efficientnet_es	83.643	16.357	95.941	4.059	5.44	224	0.875	bicubic	+6.359	+2.337	-3
211	tf_efficientnet_cc_b0_4e	83.641	16.359	95.730	4.270	13.31	224	0.875	bicubic	+6.321	+2.408	-6
212	densenet201	83.549	16.451	95.807	4.193	20.01	224	0.875	bicubic	+6.259	+2.327	-6
213	legacy_seresnext26_32x4d	83.522	16.478	95.719	4.281	16.79	224	0.875	bicubic	+6.416	+2.411	-1
214	tf_efficientnet_b0	83.517	16.483	95.719	4.281	5.29	224	0.875	bicubic	+6.669	+2.487	+4
215	mixnet_m	83.513	16.487	95.691	4.309	5.01	224	0.875	bicubic	+6.239	+2.269	-6
216	hrnet_w18	83.507	16.493	95.903	4.097	21.30	224	0.875	bilinear	+6.743	+2.461	+4
217	densenetblur121d	83.483	16.517	95.822	4.178	8.00	224	0.875	bicubic	+6.897	+2.626	+6
218	selecsls42b	83.462	16.538	95.747	4.253	32.46	224	0.875	bicubic	+6.278	+2.359	-8
219	tf_efficientnet_lite1	83.361	16.639	95.642	4.358	5.42	240	0.882	bicubic	+6.695	+2.404	+3
220	regnetx_016	83.184	16.816	95.743	4.257	9.19	224	0.875	bicubic	+6.238	+2.317	-4
221	dpn68	83.174	16.826	95.589	4.411	12.61	224	0.875	bicubic	+6.862	+2.621	+5
222	tf_mixnet_m	83.174	16.826	95.467	4.533	5.01	224	0.875	bicubic	+6.218	+2.303	-7
223	mobilenetv2_140	83.171	16.829	95.689	4.311	6.11	224	0.875	bicubic	+6.659	+2.691	+1
224	ese_vovnet19b_dw	83.109	16.890	95.787	4.213	6.54	224	0.875	bicubic	+6.291	+2.510	-5
225	resnet26d	83.037	16.963	95.595	4.405	16.01	224	0.875	bicubic	+6.349	+2.449	-4
226	tv_resnet50	82.962	17.038	95.472	4.529	25.56	224	0.875	bilinear	+6.804	+2.594	+1
227	densenet121	82.811	17.189	95.587	4.413	7.98	224	0.875	bicubic	+7.247	+2.939	+6
228	densenet169	82.661	17.339	95.595	4.405	14.15	224	0.875	bicubic	+6.763	+2.573	+1
229	mixnet_s	82.529	17.471	95.352	4.648	4.13	224	0.875	bicubic	+6.535	+2.562	-1
230	regnety_008	82.478	17.523	95.476	4.524	6.26	224	0.875	bicubic	+6.158	+2.408	-5
231	efficientnet_lite0	82.388	17.612	95.279	4.721	4.65	224	0.875	bicubic	+6.886	+2.765	+5
232	resnest14d	82.364	17.636	95.324	4.676	10.61	224	0.875	bilinear	+6.850	+2.806	+2
233	mobilenetv3_rw	82.270	17.730	95.241	4.759	5.48	224	0.875	bicubic	+6.650	+2.529	-1
234	semnasnet_100	82.253	17.747	95.234	4.766	3.89	224	0.875	bicubic	+6.801	+2.624	+3
235	mobilenetv3_large_100	82.172	17.828	95.194	4.806	5.48	224	0.875	bicubic	+6.398	+2.656	-5
236	resnet34	82.125	17.875	95.134	4.866	21.80	224	0.875	bilinear	+7.019	+2.858	+6
237	mobilenetv2_110d	82.074	17.926	95.076	4.923	4.52	224	0.875	bicubic	+7.026	+2.886	+7
238	tf_mixnet_s	82.040	17.960	95.128	4.872	4.13	224	0.875	bicubic	+6.358	+2.490	-7
239	hrnet_w18_small_v2	81.959	18.041	95.166	4.834	15.60	224	0.875	bilinear	+6.851	+2.754	+2
240	tf_efficientnet_lite0	81.950	18.050	95.164	4.836	4.65	224	0.875	bicubic	+7.118	+2.990	+5
241	resnet26	81.933	18.067	95.237	4.763	16.00	224	0.875	bicubic	+6.643	+2.671	-3
242	tf_mobilenetv3_large_100	81.841	18.159	95.076	4.923	5.48	224	0.875	bilinear	+6.331	+2.466	-7
243	tv_densenet121	81.724	18.276	95.034	4.966	7.98	224	0.875	bicubic	+6.982	+2.880	+4
244	regnety_006	81.705	18.295	95.109	4.891	6.06	224	0.875	bicubic	+6.437	+2.579	-5
245	dla34	81.658	18.342	94.872	5.128	15.74	224	0.875	bilinear	+7.034	+2.810	+4
246	fbnetc_100	81.553	18.447	94.953	5.047	5.57	224	0.875	bilinear	+6.437	+2.579	-6
247	legacy_seresnet34	81.527	18.473	94.899	5.101	21.96	224	0.875	bilinear	+6.737	+2.773	-1
248	regnetx_008	81.510	18.490	95.057	4.943	7.26	224	0.875	bicubic	+6.458	+2.715	-5
249	gluon_resnet34_v1b	81.487	18.513	94.812	5.188	21.80	224	0.875	bicubic	+6.899	+2.816	+1
250	mnasnet_100	81.478	18.522	94.895	5.105	4.38	224	0.875	bicubic	+6.808	+2.793	-2
251	spnasnet_100	80.872	19.128	94.511	5.489	4.42	224	0.875	bilinear	+6.792	+2.691	0
252	regnety_004	80.654	19.346	94.697	5.303	4.34	224	0.875	bicubic	+6.636	+2.933	0
253	skresnet18	80.629	19.371	94.385	5.615	11.96	224	0.875	bicubic	+7.603	+3.213	+4
254	regnetx_006	80.612	19.389	94.524	5.476	6.20	224	0.875	bicubic	+6.768	+2.846	-1
255	swsl_resnet18	80.571	19.429	94.750	5.250	11.69	224	0.875	bilinear	+7.291	+2.992	+1
256	resnet18d	80.387	19.613	94.252	5.748	11.71	224	0.875	bicubic	+8.113	+3.564	+6
257	tv_resnet34	80.374	19.625	94.432	5.568	21.80	224	0.875	bilinear	+7.070	+3.008	-2
258	mobilenetv2_100	80.268	19.732	94.197	5.803	3.50	224	0.875	bicubic	+7.318	+3.195	0
259	ssl_resnet18	80.112	19.888	94.594	5.406	11.69	224	0.875	bilinear	+7.496	+3.178	0
260	tf_mobilenetv3_large_075	80.088	19.912	94.188	5.812	3.99	224	0.875	bilinear	+6.640	+2.846	-6
261	hrnet_w18_small	79.537	20.462	93.909	6.091	13.19	224	0.875	bilinear	+7.201	+3.225	0
262	regnetx_004	79.439	20.561	93.843	6.157	5.16	224	0.875	bicubic	+7.045	+3.025	-2
263	tf_mobilenetv3_large_minimal_100	79.226	20.774	93.712	6.288	3.92	224	0.875	bilinear	+6.982	+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