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

1	model	rank_diff	top1	top1_diff	top1_err	top5	top5_diff	top5_err	param_count	img_size	cropt_pct	interpolation
2	ig_resnext101_32x48d	+5	58.814	-26.628	41.186	81.086	-16.486	18.914	828.410	224	0.875	bilinear
3	ig_resnext101_32x32d	+9	58.380	-26.712	41.620	80.379	-17.057	19.621	468.530	224	0.875	bilinear
4	ig_resnext101_32x16d	+14	57.700	-26.476	42.300	79.913	-17.283	20.087	194.030	224	0.875	bilinear
5	swsl_resnext101_32x16d	+18	57.466	-25.872	42.534	80.381	-16.471	19.619	194.030	224	0.875	bilinear
6	swsl_resnext101_32x8d	+9	56.435	-27.859	43.565	78.934	-18.239	21.066	88.790	224	0.875	bilinear
7	ig_resnext101_32x8d	+23	54.918	-27.770	45.082	77.545	-19.087	22.455	88.790	224	0.875	bilinear
8	swsl_resnext101_32x4d	+17	53.591	-29.643	46.409	76.339	-20.417	23.661	44.180	224	0.875	bilinear
9	tf_efficientnet_l2_ns_475	-6	51.487	-36.747	48.513	73.930	-24.617	26.070	480.310	475	0.936	bicubic
10	swsl_resnext50_32x4d	+24	50.449	-31.731	49.551	73.358	-22.870	26.642	25.030	224	0.875	bilinear
11	swsl_resnet50	+38	49.551	-31.629	50.449	72.332	-23.654	27.668	25.560	224	0.875	bilinear
12	tf_efficientnet_b7_ns	-8	47.800	-39.038	52.200	69.638	-28.456	30.362	66.350	600	0.949	bicubic
13	tf_efficientnet_b6_ns	-8	47.751	-38.711	52.249	69.962	-27.922	30.038	43.040	528	0.942	bicubic
14	tf_efficientnet_l2_ns	-12	47.570	-40.782	52.430	70.017	-28.631	29.983	480.310	800	0.960	bicubic
15	tf_efficientnet_b8_ap	-6	45.778	-39.590	54.222	67.905	-29.389	32.095	87.410	672	0.954	bicubic
16	tf_efficientnet_b5_ns	-10	45.607	-40.473	54.393	67.852	-29.902	32.148	30.390	456	0.934	bicubic
17	tf_efficientnet_b4_ns	-7	43.455	-41.703	56.545	65.513	-31.955	34.487	19.340	380	0.922	bicubic
18	tf_efficientnet_b8	-10	42.502	-42.868	57.498	64.874	-32.518	35.126	87.410	672	0.954	bicubic
19	tf_efficientnet_b7	-6	41.437	-43.495	58.563	63.027	-34.181	36.973	66.350	600	0.949	bicubic
20	tf_efficientnet_b7_ap	-9	41.433	-43.685	58.567	62.876	-34.376	37.124	66.350	600	0.949	bicubic
21	tf_efficientnet_b5_ap	-5	41.420	-42.834	58.580	62.082	-34.894	37.918	30.390	456	0.934	bicubic
22	tf_efficientnet_b6_ap	-8	41.091	-43.695	58.909	62.359	-34.779	37.641	43.040	528	0.942	bicubic
23	tf_efficientnet_b4_ap	+1	40.476	-42.772	59.524	61.713	-34.675	38.287	19.340	380	0.922	bicubic
24	tf_efficientnet_b3_ns	-4	39.582	-44.472	60.418	61.463	-35.449	38.537	12.230	300	0.904	bicubic
25	tf_efficientnet_b5	-3	38.328	-45.488	61.672	59.928	-36.822	40.072	30.390	456	0.934	bicubic
26	tf_efficientnet_b3_ap	+13	37.061	-44.767	62.939	57.236	-38.388	42.764	12.230	300	0.904	bicubic
27	resnest269e	-10	36.670	-47.516	63.330	56.810	-40.112	43.190	110.930	416	0.875	bilinear
28	tf_efficientnet_b2_ns	+4	36.177	-46.203	63.823	57.555	-38.697	42.445	9.110	260	0.890	bicubic
29	ecaresnet101d	+6	36.006	-46.160	63.994	56.154	-39.898	43.846	44.570	224	0.875	bicubic
30	swsl_resnet18	+192	35.860	-37.426	64.140	58.437	-33.295	41.563	11.690	224	0.875	bilinear
31	resnest200e	-10	35.847	-47.987	64.153	55.890	-40.948	44.110	70.200	320	0.875	bilinear
32	resnest101e	-4	35.365	-47.525	64.635	55.786	-40.538	44.214	48.280	256	0.875	bilinear
33	ssl_resnext101_32x16d	+5	34.609	-47.227	65.391	55.914	-40.180	44.086	194.030	224	0.875	bilinear
34	resnest50d_4s2x40d	+16	34.361	-46.753	65.639	54.711	-40.857	45.289	30.420	224	0.875	bicubic
35	tf_efficientnet_b1_ns	+11	34.153	-47.233	65.847	55.489	-40.249	44.511	7.790	240	0.882	bicubic
36	tf_efficientnet_b4	-9	34.062	-48.954	65.938	54.216	-42.082	45.784	19.340	380	0.922	bicubic
37	ssl_resnext101_32x8d	+5	34.021	-47.605	65.979	55.593	-40.444	44.407	88.790	224	0.875	bilinear
38	tf_efficientnet_b6	-19	34.005	-50.107	65.995	54.540	-42.344	45.460	43.040	528	0.942	bicubic
39	efficientnet_b3_pruned	+18	33.996	-46.860	66.004	54.110	-41.130	45.890	9.860	300	0.904	bicubic
40	tresnet_xl	-4	33.259	-48.811	66.741	52.296	-43.632	47.704	78.440	224	0.875	bilinear
41	resnest50d_1s4x24d	+11	33.139	-47.851	66.861	52.831	-42.491	47.169	25.680	224	0.875	bicubic
42	resnest50d	+11	32.968	-47.990	67.032	52.701	-42.681	47.299	27.480	224	0.875	bilinear
43	tf_efficientnet_b3	-2	32.864	-48.776	67.136	52.962	-42.760	47.038	12.230	300	0.904	bicubic
44	inception_resnet_v2	+22	32.736	-47.724	67.264	50.640	-44.670	49.360	55.840	299	0.897	bicubic
45	gluon_resnet152_v1d	+20	32.730	-47.740	67.270	51.084	-44.122	48.916	60.210	224	0.875	bicubic
46	tf_efficientnet_b2_ap	+28	32.679	-47.627	67.321	52.233	-42.795	47.767	9.110	260	0.890	bicubic
47	nasnetalarge	-16	32.583	-49.975	67.417	49.787	-46.249	50.213	88.750	331	0.875	bicubic
48	tresnet_l	-3	32.567	-48.921	67.433	51.141	-44.487	48.859	55.990	224	0.875	bilinear
49	pnasnet5large	-20	32.532	-50.208	67.468	50.188	-45.852	49.812	86.060	331	0.875	bicubic
50	ens_adv_inception_resnet_v2	+34	32.370	-47.605	67.629	50.427	-44.519	49.573	55.840	299	0.897	bicubic
51	gluon_resnet152_v1s	=	32.331	-48.681	67.669	50.539	-44.877	49.461	60.320	224	0.875	bicubic
52	gluon_seresnext101_64x4d	+4	32.194	-48.696	67.806	50.327	-44.977	49.673	88.230	224	0.875	bicubic
53	gluon_seresnext101_32x4d	+2	32.115	-48.787	67.885	51.241	-44.053	48.759	48.960	224	0.875	bicubic
54	efficientnet_b3a	-17	31.728	-50.146	68.272	51.322	-44.519	48.678	12.230	320	1.000	bicubic
55	efficientnet_b3	-11	31.565	-49.933	68.435	51.272	-44.446	48.728	12.230	300	0.904	bicubic
56	resnet50	+64	31.545	-47.487	68.455	50.172	-44.212	49.828	25.560	224	0.875	bicubic
57	ssl_resnext101_32x4d	-3	31.433	-49.495	68.567	52.115	-43.613	47.885	44.180	224	0.875	bilinear
58	inception_v4	+22	31.382	-48.774	68.618	49.237	-45.737	50.763	42.680	299	0.875	bicubic
59	ecaresnetlight	+8	31.133	-49.321	68.868	50.252	-45.004	49.748	30.160	224	0.875	bicubic
60	gluon_resnet101_v1s	+15	31.113	-49.187	68.887	49.791	-45.359	50.209	44.670	224	0.875	bicubic
61	tf_efficientnet_cc_b0_8e	+98	31.081	-46.827	68.919	50.773	-42.883	49.227	24.010	224	0.875	bicubic
62	ecaresnet50d	=	31.064	-49.540	68.936	50.846	-44.476	49.154	25.580	224	0.875	bicubic
63	gluon_resnet152_v1c	+23	31.007	-48.909	68.993	48.936	-45.906	51.064	60.210	224	0.875	bicubic
64	tresnet_m	-4	30.993	-49.803	69.007	48.690	-46.166	51.310	31.390	224	0.875	bilinear
65	gluon_resnext101_64x4d	-2	30.981	-49.621	69.019	48.553	-46.441	51.447	83.460	224	0.875	bicubic
66	tf_efficientnet_cc_b1_8e	+42	30.901	-48.397	69.099	50.074	-44.290	49.926	39.720	240	0.882	bicubic
67	ecaresnet101d_pruned	-8	30.895	-49.913	69.105	50.001	-45.627	49.999	24.880	224	0.875	bicubic
68	gluon_resnext101_32x4d	+4	30.881	-49.453	69.119	48.537	-46.389	51.463	44.180	224	0.875	bicubic
69	tf_efficientnet_lite4	-26	30.840	-50.688	69.160	50.398	-45.270	49.602	13.010	380	0.920	bilinear
70	dpn107	+9	30.680	-49.484	69.320	48.806	-46.106	51.194	86.920	224	0.875	bicubic
71	ese_vovnet39b	+33	30.677	-48.643	69.323	49.893	-44.817	50.107	24.570	224	0.875	bicubic
72	tresnet_xl_448	-46	30.620	-52.428	69.380	49.072	-47.102	50.928	78.440	448	0.875	bilinear
73	gluon_resnet152_v1b	+22	30.618	-49.074	69.382	48.529	-46.209	51.471	60.190	224	0.875	bicubic
74	ssl_resnext50_32x4d	-1	30.594	-49.734	69.406	50.653	-44.751	49.347	25.030	224	0.875	bilinear
75	gluon_resnet101_v1d	-6	30.509	-49.914	69.490	47.975	-47.045	52.025	44.570	224	0.875	bicubic
76	resnest26d	+62	30.500	-47.982	69.500	50.677	-43.613	49.323	17.070	224	0.875	bilinear
77	efficientnet_b2a	-16	30.423	-50.185	69.577	49.675	-45.635	50.325	9.110	288	1.000	bicubic
78	tf_efficientnet_b1_ap	+32	30.419	-48.859	69.581	49.553	-44.755	50.447	7.790	240	0.882	bicubic
79	dpn98	+18	30.058	-49.578	69.942	48.240	-46.354	51.760	61.570	224	0.875	bicubic
80	tf_efficientnet_b2	+2	30.020	-50.070	69.980	49.590	-45.316	50.410	9.110	260	0.890	bicubic
81	dpn131	+9	30.014	-49.814	69.986	48.144	-46.560	51.856	79.250	224	0.875	bicubic
82	senet154	-35	30.001	-51.303	69.999	48.032	-47.466	51.968	115.090	224	0.875	bilinear
83	dpn92	=	29.969	-50.047	70.031	49.160	-45.678	50.840	37.670	224	0.875	bicubic
84	gluon_senet154	-36	29.887	-51.337	70.113	47.873	-47.483	52.127	115.090	224	0.875	bicubic
85	xception	+34	29.849	-49.199	70.151	48.690	-45.702	51.310	22.860	299	0.897	bicubic
86	adv_inception_v3	+80	29.824	-47.756	70.176	47.867	-45.857	52.133	23.830	299	0.875	bicubic
87	resnetblur50	+22	29.623	-49.667	70.377	48.250	-46.382	51.750	25.560	224	0.875	bicubic
88	efficientnet_b2	-18	29.617	-50.785	70.383	48.773	-46.303	51.227	9.110	260	0.875	bicubic
89	gluon_xception65	+9	29.555	-50.049	70.445	47.523	-47.225	52.477	39.920	299	0.875	bicubic
90	resnext101_32x8d	+15	29.435	-49.877	70.565	48.482	-46.044	51.518	88.790	224	0.875	bilinear
91	ssl_resnet50	+20	29.423	-49.805	70.577	49.773	-45.059	50.227	25.560	224	0.875	bilinear
92	resnext50_32x4d	=	29.328	-50.434	70.671	47.395	-47.205	52.605	25.030	224	0.875	bicubic
93	ecaresnet50d_pruned	=	29.216	-50.502	70.784	48.458	-46.432	51.542	19.940	224	0.875	bicubic
94	tresnet_l_448	-61	29.167	-53.101	70.833	47.234	-48.744	52.766	55.990	448	0.875	bilinear
95	gluon_inception_v3	+32	29.114	-49.690	70.886	46.943	-47.437	53.057	23.830	299	0.875	bicubic
96	hrnet_w64	+5	28.987	-50.485	71.013	47.140	-47.510	52.860	128.060	224	0.875	bilinear
97	tf_efficientnet_b0_ns	+37	28.914	-49.738	71.086	49.011	-45.357	50.989	5.290	224	0.875	bicubic
98	tf_efficientnet_b1	+28	28.892	-49.940	71.108	47.511	-46.685	52.489	7.790	240	0.882	bicubic
99	gluon_resnet101_v1b	+8	28.857	-50.447	71.143	46.371	-48.153	53.629	44.550	224	0.875	bicubic
100	skresnext50_32x4d	-19	28.818	-51.332	71.182	46.503	-48.141	53.497	27.480	224	0.875	bicubic
101	tf_efficientnet_lite3	-10	28.654	-51.157	71.346	47.358	-47.556	52.642	8.200	300	0.904	bilinear
102	hrnet_w40	+20	28.645	-50.289	71.355	47.443	-47.024	52.557	57.560	224	0.875	bilinear
103	gluon_seresnext50_32x4d	-16	28.641	-51.271	71.359	46.450	-48.368	53.550	27.560	224	0.875	bicubic
104	skresnet34	+81	28.629	-48.281	71.371	47.957	-45.359	52.043	22.280	224	0.875	bicubic
105	resnet152	+40	28.535	-49.777	71.465	47.114	-46.932	52.886	60.190	224	0.875	bilinear
106	hrnet_w48	=	28.407	-50.903	71.593	47.574	-46.944	52.426	77.470	224	0.875	bilinear
107	gluon_resnext50_32x4d	-4	28.383	-50.973	71.617	45.326	-49.098	54.674	25.030	224	0.875	bicubic
108	efficientnet_b2_pruned	-23	28.366	-51.552	71.634	47.059	-47.789	52.941	8.310	260	0.890	bicubic
109	tf_efficientnet_b0_ap	+72	28.350	-48.734	71.650	47.531	-45.723	52.469	5.290	224	0.875	bicubic
110	dla102x2	-8	28.319	-51.133	71.681	46.757	-47.887	53.243	41.750	224	0.875	bilinear
111	dla169	+19	28.311	-50.399	71.689	47.399	-46.939	52.601	53.990	224	0.875	bilinear
112	tf_efficientnet_cc_b0_4e	+62	28.311	-48.993	71.689	47.364	-45.968	52.636	13.310	224	0.875	bicubic
113	mixnet_xl	-49	28.293	-52.185	71.707	46.717	-48.215	53.283	11.900	224	0.875	bicubic
114	gluon_resnet50_v1d	+3	28.236	-50.838	71.764	45.876	-48.600	54.124	25.580	224	0.875	bicubic
115	wide_resnet101_2	+10	28.106	-50.740	71.894	46.425	-47.859	53.575	126.890	224	0.875	bilinear
116	gluon_resnet101_v1c	-16	28.102	-51.442	71.898	45.953	-48.633	54.047	44.570	224	0.875	bicubic
117	densenet161	+56	28.100	-49.248	71.900	46.651	-46.997	53.349	28.680	224	0.875	bicubic
118	regnetx_320	-41	28.079	-52.167	71.921	45.120	-49.902	54.880	107.810	224	0.875	bicubic
119	regnety_320	-61	28.071	-52.743	71.929	45.460	-49.780	54.540	145.050	224	0.875	bicubic
120	dpn68b	+48	27.884	-49.630	72.116	47.460	-46.362	52.540	12.610	224	0.875	bicubic
121	regnetx_160	-32	27.825	-52.041	72.175	45.631	-49.197	54.369	54.280	224	0.875	bicubic
122	tf_inception_v3	+38	27.786	-50.070	72.214	45.711	-47.933	54.289	23.830	299	0.875	bicubic
123	res2net101_26w_4s	-8	27.774	-51.422	72.226	45.171	-49.269	54.829	45.210	224	0.875	bilinear
124	regnety_160	-48	27.639	-52.661	72.361	45.534	-49.428	54.466	83.590	224	0.875	bicubic
125	hrnet_w44	-2	27.625	-51.269	72.375	45.831	-48.539	54.169	67.060	224	0.875	bilinear
126	inception_v3	+45	27.570	-49.866	72.430	45.261	-48.215	54.739	23.830	299	0.875	bicubic
127	regnetx_080	-13	27.411	-51.787	72.589	45.022	-49.536	54.978	39.570	224	0.875	bicubic
128	hrnet_w30	+21	27.385	-50.811	72.615	46.542	-47.678	53.458	37.710	224	0.875	bilinear
129	hrnet_w32	+13	27.377	-51.071	72.623	45.990	-48.198	54.010	41.230	224	0.875	bilinear
130	gluon_resnet50_v1s	-1	27.326	-51.386	72.674	45.214	-49.028	54.786	25.680	224	0.875	bicubic
131	densenet201	+45	27.261	-50.029	72.739	46.224	-47.254	53.776	20.010	224	0.875	bicubic
132	regnety_064	-38	27.228	-52.484	72.772	44.851	-49.923	55.149	30.580	224	0.875	bicubic
133	densenetblur121d	+57	27.224	-49.352	72.776	46.307	-46.883	53.693	8.000	224	0.875	bicubic
134	efficientnet_b1_pruned	+13	27.195	-51.047	72.805	45.872	-47.960	54.128	6.330	240	0.882	bicubic
135	res2net50_26w_8s	-22	27.073	-52.137	72.927	44.432	-49.930	55.568	48.400	224	0.875	bilinear
136	dla102x	=	27.023	-51.484	72.977	45.495	-48.739	54.505	26.770	224	0.875	bilinear
137	resnet101	+35	26.968	-50.405	73.031	45.236	-48.310	54.764	44.550	224	0.875	bilinear
138	resnext50d_32x4d	-42	26.874	-52.800	73.126	44.430	-50.438	55.570	25.050	224	0.875	bicubic
139	regnetx_120	-40	26.864	-52.726	73.136	44.682	-50.058	55.318	46.110	224	0.875	bicubic
140	seresnext101_32x4d	-62	26.819	-53.417	73.181	43.508	-51.520	56.492	48.960	224	0.875	bilinear
141	densenet169	+55	26.811	-49.101	73.189	45.375	-47.649	54.625	14.150	224	0.875	bicubic
142	regnetx_064	-24	26.802	-52.264	73.198	44.904	-49.552	55.096	26.210	224	0.875	bicubic
143	regnety_120	-72	26.782	-53.600	73.218	44.440	-50.688	55.560	51.820	224	0.875	bicubic
144	regnetx_032	+6	26.707	-51.459	73.293	45.226	-48.854	54.774	15.300	224	0.875	bicubic
145	densenet121	+55	26.676	-48.898	73.324	45.900	-46.756	54.100	7.980	224	0.875	bicubic
146	seresnet152	-13	26.672	-51.986	73.328	43.945	-50.429	56.055	66.820	224	0.875	bilinear
147	tf_efficientnet_el	-79	26.623	-53.825	73.377	44.636	-50.524	55.364	10.590	300	0.904	bicubic
148	efficientnet_es	+4	26.617	-51.437	73.383	45.106	-48.824	54.894	5.440	224	0.875	bicubic
149	res2net50_26w_6s	-14	26.587	-51.987	73.413	43.978	-50.148	56.022	37.050	224	0.875	bilinear
150	dla60x	-4	26.564	-51.678	73.436	45.039	-48.983	54.961	17.650	224	0.875	bilinear
151	regnety_080	-63	26.515	-53.353	73.485	44.355	-50.477	55.645	39.180	224	0.875	bicubic
152	tf_efficientnet_b0	+34	26.491	-50.349	73.509	45.656	-47.570	54.344	5.290	224	0.875	bicubic
153	res2net50_14w_8s	-2	26.471	-51.681	73.529	44.369	-49.473	55.631	25.060	224	0.875	bilinear
154	gluon_resnet50_v1b	+13	26.432	-51.146	73.568	44.033	-49.685	55.967	25.560	224	0.875	bicubic
155	regnetx_040	-18	26.239	-52.247	73.760	44.424	-49.818	55.576	22.120	224	0.875	bicubic
156	dpn68	+37	26.122	-50.184	73.878	44.233	-48.736	55.767	12.610	224	0.875	bicubic
157	hrnet_w18	+30	25.976	-50.780	74.024	44.809	-48.633	55.191	21.300	224	0.875	bilinear
158	regnety_040	-46	25.913	-53.309	74.087	43.854	-50.802	56.146	20.650	224	0.875	bicubic
159	resnet34	+49	25.884	-49.228	74.116	43.990	-48.298	56.010	21.800	224	0.875	bilinear
160	res2net50_26w_4s	-2	25.870	-52.076	74.130	43.161	-50.691	56.839	25.700	224	0.875	bilinear
161	tresnet_m_448	-121	25.850	-55.862	74.150	42.868	-52.702	57.132	31.390	448	0.875	bilinear
162	gluon_resnet50_v1c	-8	25.795	-52.215	74.205	43.017	-50.971	56.983	25.580	224	0.875	bicubic
163	selecsls60	-6	25.729	-52.254	74.272	44.069	-49.764	55.931	30.670	224	0.875	bicubic
164	dla60_res2net	-25	25.642	-52.830	74.358	43.589	-50.615	56.411	21.150	224	0.875	bilinear
165	dla60_res2next	-24	25.638	-52.810	74.362	43.670	-50.474	56.330	17.330	224	0.875	bilinear
166	tf_efficientnet_lite1	+23	25.506	-51.132	74.493	43.583	-49.649	56.417	5.420	240	0.882	bicubic
167	mixnet_l	-46	25.499	-53.477	74.501	43.463	-50.721	56.537	7.330	224	0.875	bicubic
168	efficientnet_b1	-37	25.483	-53.215	74.517	43.286	-50.866	56.714	7.790	240	0.875	bicubic
169	tv_resnext50_32x4d	-5	25.469	-52.149	74.531	42.791	-50.907	57.209	25.030	224	0.875	bilinear
170	tf_mixnet_l	-42	25.420	-53.350	74.580	42.544	-51.460	57.456	7.330	224	0.875	bicubic
171	res2next50	-23	25.395	-52.848	74.606	42.492	-51.400	57.508	24.670	224	0.875	bilinear
172	selecsls60b	-29	25.328	-53.090	74.672	43.554	-50.612	56.446	32.770	224	0.875	bicubic
173	seresnet101	-29	25.328	-53.068	74.672	42.828	-51.429	57.172	49.330	224	0.875	bilinear
174	regnety_032	-50	25.324	-53.546	74.676	42.907	-51.495	57.093	19.440	224	0.875	bicubic
175	dla102	-22	25.314	-52.712	74.686	43.837	-50.113	56.163	33.730	224	0.875	bilinear
176	wide_resnet50_2	-36	25.310	-53.158	74.690	42.178	-51.908	57.822	68.880	224	0.875	bilinear
177	resnest14d	+25	25.282	-50.221	74.718	44.121	-48.392	55.879	10.610	224	0.875	bilinear
178	seresnext50_32x4d	-62	25.218	-53.858	74.782	41.938	-52.496	58.062	27.560	224	0.875	bilinear
179	res2net50_48w_2s	-10	25.023	-52.491	74.977	42.202	-51.346	57.798	25.290	224	0.875	bilinear
180	efficientnet_b0	-18	25.015	-52.677	74.985	42.785	-50.747	57.215	5.290	224	0.875	bicubic
181	gluon_resnet34_v1b	+35	24.948	-49.632	75.052	42.237	-49.751	57.763	21.800	224	0.875	bicubic
182	mobilenetv2_120d	-7	24.933	-52.361	75.067	43.064	-50.438	56.936	5.830	224	0.875	bicubic
183	dla60	-1	24.927	-52.097	75.073	43.302	-50.006	56.698	22.330	224	0.875	bilinear
184	regnety_016	-23	24.819	-53.033	75.181	42.626	-51.090	57.374	11.200	224	0.875	bicubic
185	tf_efficientnet_em	-53	24.534	-54.164	75.466	42.410	-51.910	57.590	6.900	240	0.882	bicubic
186	tf_efficientnet_lite2	-16	24.530	-52.930	75.470	42.292	-51.454	57.708	6.090	260	0.890	bicubic
187	skresnet18	+36	24.494	-48.549	75.505	42.538	-48.640	57.462	11.960	224	0.875	bicubic
188	regnetx_016	-4	24.477	-52.453	75.523	42.502	-50.916	57.498	9.190	224	0.875	bicubic
189	tf_efficientnet_lite0	+22	24.371	-50.471	75.629	42.510	-49.660	57.490	4.650	224	0.875	bicubic
190	tv_resnet50	+4	24.092	-52.038	75.908	41.309	-51.553	58.691	25.560	224	0.875	bilinear
191	seresnet34	+21	24.037	-50.771	75.963	41.895	-50.231	58.105	21.960	224	0.875	bilinear
192	tv_densenet121	+21	23.846	-50.906	76.154	41.921	-50.231	58.079	7.980	224	0.875	bicubic
193	tf_efficientnet_es	-16	23.824	-53.440	76.176	41.319	-52.281	58.681	5.440	224	0.875	bicubic
194	mobilenetv2_140	-3	23.710	-52.814	76.290	41.469	-51.521	58.531	6.110	224	0.875	bicubic
195	mixnet_m	-17	23.709	-53.547	76.291	41.139	-52.279	58.861	5.010	224	0.875	bicubic
196	dla34	+19	23.677	-50.959	76.323	41.543	-50.521	58.457	15.780	224	0.875	bilinear
197	seresnet50	-34	23.644	-53.992	76.356	40.081	-53.671	59.919	28.090	224	0.875	bilinear
198	tf_mixnet_m	-15	23.479	-53.471	76.521	41.005	-52.151	58.995	5.010	224	0.875	bicubic
199	tv_resnet34	+22	23.473	-49.841	76.527	41.367	-50.053	58.633	21.800	224	0.875	bilinear
200	selecsls42b	-21	23.366	-53.809	76.633	40.677	-52.715	59.323	32.460	224	0.875	bicubic
201	mobilenetv2_110d	+8	23.070	-51.982	76.930	40.744	-51.436	59.256	4.520	224	0.875	bicubic
202	mobilenetv3_large_100	-5	22.665	-53.103	77.335	40.785	-51.755	59.215	5.480	224	0.875	bicubic
203	mobilenetv3_rw	-4	22.626	-53.002	77.374	40.370	-52.340	59.630	5.480	224	0.875	bicubic
204	tf_mobilenetv3_large_100	-3	22.571	-52.945	77.429	39.759	-52.841	60.241	5.480	224	0.875	bilinear
205	hrnet_w18_small_v2	+1	22.341	-52.785	77.659	39.847	-52.569	60.153	15.600	224	0.875	bilinear
206	regnety_008	-14	22.113	-54.201	77.887	38.896	-54.166	61.104	6.260	224	0.875	bicubic
207	seresnext26tn_32x4d	-52	22.003	-55.987	77.997	38.492	-55.256	61.508	16.810	224	0.875	bicubic
208	seresnext26t_32x4d	-52	21.987	-56.001	78.013	38.566	-55.140	61.434	16.820	224	0.875	bicubic
209	regnety_006	-4	21.973	-53.287	78.027	38.953	-53.575	61.047	6.060	224	0.875	bicubic
210	regnetx_008	=	21.952	-53.070	78.048	38.930	-53.414	61.070	7.260	224	0.875	bicubic
211	resnet26d	-23	21.914	-54.766	78.086	38.617	-54.549	61.383	16.010	224	0.875	bicubic
212	semnasnet_100	-9	21.897	-53.559	78.103	38.604	-53.988	61.396	3.890	224	0.875	bicubic
213	regnetx_006	+6	21.743	-52.119	78.257	38.904	-52.776	61.096	6.200	224	0.875	bicubic
214	gluon_resnet18_v1b	+16	21.545	-49.285	78.455	38.873	-50.883	61.127	11.690	224	0.875	bicubic
215	fbnetc_100	-8	21.492	-53.628	78.508	38.165	-54.221	61.835	5.570	224	0.875	bilinear
216	mnasnet_100	-2	21.350	-53.306	78.650	37.715	-54.411	62.285	4.380	224	0.875	bicubic
217	resnet26	-13	21.295	-53.997	78.705	38.016	-54.554	61.984	16.000	224	0.875	bicubic
218	ssl_resnet18	+7	21.278	-51.322	78.722	39.114	-52.301	60.886	11.690	224	0.875	bilinear
219	mixnet_s	-24	21.258	-54.730	78.742	38.193	-54.601	61.807	4.130	224	0.875	bicubic
220	seresnext26d_32x4d	-55	21.254	-56.350	78.746	37.285	-56.327	62.715	16.810	224	0.875	bicubic
221	seresnext26_32x4d	-41	21.093	-56.007	78.907	37.639	-55.671	62.361	16.790	224	0.875	bicubic
222	regnetx_004	+4	20.887	-51.519	79.113	37.548	-53.282	62.452	5.160	224	0.875	bicubic
223	spnasnet_100	-6	20.867	-53.213	79.133	37.892	-53.940	62.108	4.420	224	0.875	bilinear
224	seresnet18	+5	20.840	-50.918	79.160	37.645	-52.689	62.355	11.780	224	0.875	bicubic
225	mobilenetv2_100	-1	20.761	-52.217	79.239	37.751	-53.265	62.249	3.500	224	0.875	bicubic
226	tf_mixnet_s	-28	20.478	-55.170	79.522	36.627	-56.009	63.373	4.130	224	0.875	bicubic
227	regnety_004	-9	20.417	-53.609	79.583	37.030	-54.718	62.970	4.340	224	0.875	bicubic
228	tf_mobilenetv3_large_075	-8	20.372	-53.070	79.628	36.770	-54.582	63.230	3.990	224	0.875	bilinear
229	hrnet_w18_small	-2	20.366	-51.976	79.634	37.094	-53.578	62.906	13.190	224	0.875	bilinear
230	resnet18	+2	20.228	-49.530	79.772	37.260	-51.818	62.740	11.690	224	0.875	bilinear
231	tf_mobilenetv3_large_minimal_100	-3	20.116	-52.128	79.884	36.904	-53.732	63.096	3.920	224	0.875	bilinear
232	regnety_002	-1	17.460	-52.822	82.540	32.443	-57.097	67.557	3.160	224	0.875	bicubic
233	regnetx_002	=	16.951	-51.803	83.049	32.235	-56.313	67.765	2.680	224	0.875	bicubic
234	dla60x_c	+1	16.326	-51.582	83.674	31.775	-56.659	68.225	1.340	224	0.875	bilinear
235	tf_mobilenetv3_small_100	-1	16.233	-51.685	83.767	31.223	-56.439	68.777	2.540	224	0.875	bilinear
236	tf_mobilenetv3_small_075	+1	14.940	-50.778	85.060	29.572	-56.564	70.428	2.040	224	0.875	bilinear
237	dla46_c	+1	14.661	-50.217	85.339	29.374	-56.912	70.626	1.310	224	0.875	bilinear
238	dla46x_c	-2	14.380	-51.600	85.620	29.177	-57.803	70.823	1.080	224	0.875	bilinear
239	tf_mobilenetv3_small_minimal_100	=	13.968	-48.930	86.032	27.980	-56.250	72.019	2.040	224	0.875	bilinear