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

1	model	top1	top1_err	top5	top5_err	param_count	img_size	cropt_pct	interpolation
2	tf_efficientnet_l2_ns	88.350	11.650	98.656	1.344	480.31	800	0.960	bicubic
3	tf_efficientnet_l2_ns_475	88.240	11.760	98.550	1.450	480.31	475	0.936	bicubic
4	tf_efficientnet_b7_ns	86.828	13.172	98.084	1.916	66.35	600	0.949	bicubic
5	tf_efficientnet_b6_ns	86.448	13.552	97.880	2.120	43.04	528	0.942	bicubic
6	tf_efficientnet_b5_ns	86.078	13.922	97.752	2.248	30.39	456	0.934	bicubic
7	ig_resnext101_32x48d	85.424	14.576	97.578	2.422	828.41	224	0.875	bilinear
8	tf_efficientnet_b8_ap	85.374	14.626	97.298	2.702	87.41	672	0.954	bicubic
9	tf_efficientnet_b8	85.350	14.650	97.390	2.610	87.41	672	0.954	bicubic
10	vit_large_patch16_384	85.166	14.834	97.362	2.638	304.72	384	1.000	bicubic
11	tf_efficientnet_b4_ns	85.150	14.850	97.470	2.530	19.34	380	0.922	bicubic
12	tf_efficientnet_b7_ap	85.120	14.880	97.250	2.750	66.35	600	0.949	bicubic
13	ig_resnext101_32x32d	85.090	14.910	97.440	2.560	468.53	224	0.875	bilinear
14	vit_base_resnet50_384	84.986	15.014	97.296	2.704	98.95	384	1.000	bicubic
15	resnetv2_152x4_bitm	84.948	15.052	97.450	2.550	936.53	480	1.000	bilinear
16	tf_efficientnet_b7	84.934	15.066	97.204	2.796	66.35	600	0.949	bicubic
17	tf_efficientnet_b6_ap	84.786	15.214	97.138	2.862	43.04	528	0.942	bicubic
18	resnest269e	84.526	15.474	96.986	3.014	110.93	416	0.928	bicubic
19	resnetv2_152x2_bitm	84.404	15.596	97.434	2.566	236.34	480	1.000	bilinear
20	resnetv2_101x3_bitm	84.382	15.618	97.366	2.634	387.93	480	1.000	bilinear
21	seresnet152d_320	84.364	15.636	97.040	2.960	66.84	320	1.000	bicubic
22	swsl_resnext101_32x8d	84.270	15.730	97.170	2.830	88.79	224	0.875	bilinear
23	tf_efficientnet_b5_ap	84.254	15.746	96.974	3.026	30.39	456	0.934	bicubic
24	vit_base_patch16_384	84.202	15.798	97.218	2.782	86.86	384	1.000	bicubic
25	ig_resnext101_32x16d	84.164	15.836	97.194	2.806	194.03	224	0.875	bilinear
26	tf_efficientnet_b6	84.114	15.886	96.888	3.112	43.04	528	0.942	bicubic
27	tf_efficientnet_b3_ns	84.044	15.956	96.910	3.090	12.23	300	0.904	bicubic
28	resnet200d_320	83.968	16.032	96.818	3.182	64.69	320	1.000	bicubic
29	resnest200e	83.852	16.148	96.890	3.110	70.20	320	0.909	bicubic
30	tf_efficientnet_b5	83.808	16.192	96.746	3.254	30.39	456	0.934	bicubic
31	resnetv2_50x3_bitm	83.752	16.248	97.120	2.880	217.32	480	1.000	bilinear
32	seresnet152d	83.740	16.260	96.770	3.230	66.84	256	0.940	bicubic
33	resnet152d_320	83.666	16.334	96.734	3.266	60.21	320	1.000	bicubic
34	swsl_resnext101_32x16d	83.344	16.656	96.840	3.160	194.03	224	0.875	bilinear
35	tf_efficientnet_b4_ap	83.256	16.744	96.394	3.606	19.34	380	0.922	bicubic
36	resnet200d	83.242	16.758	96.488	3.512	64.69	256	0.940	bicubic
37	swsl_resnext101_32x4d	83.222	16.778	96.768	3.232	44.18	224	0.875	bilinear
38	resnet152d	83.134	16.866	96.350	3.650	60.21	256	0.940	bicubic
39	vit_large_patch16_224	83.060	16.940	96.444	3.556	304.33	224	0.900	bicubic
40	tresnet_xl_448	83.056	16.944	96.186	3.814	78.44	448	0.875	bilinear
41	tf_efficientnet_b4	83.026	16.974	96.298	3.702	19.34	380	0.922	bicubic
42	resnet101d_320	83.024	16.976	96.456	3.544	44.57	320	1.000	bicubic
43	resnest101e	82.878	17.122	96.314	3.686	48.28	256	0.875	bilinear
44	ig_resnext101_32x8d	82.696	17.304	96.644	3.356	88.79	224	0.875	bilinear
45	nasnetalarge	82.626	17.374	96.050	3.950	88.75	331	0.911	bicubic
46	tf_efficientnet_b2_ns	82.392	17.608	96.238	3.762	9.11	260	0.890	bicubic
47	resnet101d	82.310	17.690	96.064	3.936	44.57	256	0.940	bicubic
48	tresnet_l_448	82.260	17.740	95.978	4.022	55.99	448	0.875	bilinear
49	efficientnet_b3a	82.254	17.746	96.114	3.886	12.23	320	1.000	bicubic
50	resnetv2_101x1_bitm	82.214	17.786	96.472	3.528	44.54	480	1.000	bilinear
51	ecaresnet101d	82.176	17.824	96.056	3.944	44.57	224	0.875	bicubic
52	swsl_resnext50_32x4d	82.172	17.828	96.232	3.768	25.03	224	0.875	bilinear
53	efficientnet_b3	82.082	17.918	96.026	3.974	12.23	300	0.904	bicubic
54	tresnet_xl	82.054	17.946	95.932	4.068	78.44	224	0.875	bilinear
55	regnety_032	82.008	17.992	95.912	4.088	19.44	224	0.875	bicubic
56	ssl_resnext101_32x16d	81.838	18.162	96.092	3.908	194.03	224	0.875	bilinear
57	tf_efficientnet_b3_ap	81.822	18.178	95.620	4.380	12.23	300	0.904	bicubic
58	vit_base_patch16_224	81.784	18.216	96.126	3.874	86.57	224	0.900	bicubic
59	tresnet_m_448	81.718	18.282	95.566	4.434	31.39	448	0.875	bilinear
60	vit_base_patch32_384	81.656	18.344	96.130	3.870	88.30	384	1.000	bicubic
61	tf_efficientnet_b3	81.646	18.354	95.722	4.278	12.23	300	0.904	bicubic
62	rexnet_200	81.626	18.374	95.672	4.328	16.37	224	0.875	bicubic
63	ssl_resnext101_32x8d	81.606	18.394	96.044	3.956	88.79	224	0.875	bilinear
64	tf_efficientnet_lite4	81.536	18.464	95.660	4.340	13.01	380	0.920	bilinear
65	tresnet_l	81.486	18.514	95.620	4.380	55.99	224	0.875	bilinear
66	wide_resnet50_2	81.452	18.548	95.522	4.478	68.88	224	0.875	bicubic
67	tf_efficientnet_b1_ns	81.386	18.614	95.740	4.260	7.79	240	0.882	bicubic
68	legacy_senet154	81.326	18.674	95.508	4.492	115.09	224	0.875	bilinear
69	seresnext50_32x4d	81.274	18.726	95.618	4.382	27.56	224	0.875	bicubic
70	gluon_senet154	81.228	18.772	95.352	4.648	115.09	224	0.875	bicubic
71	swsl_resnet50	81.136	18.864	95.974	4.026	25.56	224	0.875	bilinear
72	resnest50d_4s2x40d	81.114	18.886	95.554	4.446	30.42	224	0.875	bicubic
73	gluon_resnet152_v1s	81.018	18.982	95.420	4.580	60.32	224	0.875	bicubic
74	resnest50d_1s4x24d	81.004	18.996	95.326	4.674	25.68	224	0.875	bicubic
75	resnest50d	80.958	19.042	95.378	4.622	27.48	224	0.875	bilinear
76	ssl_resnext101_32x4d	80.914	19.086	95.734	4.266	44.18	224	0.875	bilinear
77	gluon_seresnext101_64x4d	80.884	19.116	95.314	4.686	88.23	224	0.875	bicubic
78	gluon_seresnext101_32x4d	80.872	19.128	95.292	4.708	48.96	224	0.875	bicubic
79	efficientnet_b3_pruned	80.858	19.142	95.240	4.760	9.86	300	0.904	bicubic
80	ecaresnet101d_pruned	80.816	19.184	95.638	4.362	24.88	224	0.875	bicubic
81	tresnet_m	80.804	19.196	94.858	5.142	31.39	224	0.875	bilinear
82	regnety_320	80.798	19.202	95.246	4.754	145.05	224	0.875	bicubic
83	gluon_resnext101_64x4d	80.630	19.370	94.998	5.002	83.46	224	0.875	bicubic
84	ecaresnet50d	80.614	19.386	95.308	4.692	25.58	224	0.875	bicubic
85	efficientnet_b2a	80.614	19.386	95.318	4.682	9.11	288	1.000	bicubic
86	resnet50d	80.548	19.452	95.158	4.842	25.58	224	0.875	bicubic
87	gluon_resnet152_v1d	80.478	19.522	95.200	4.800	60.21	224	0.875	bicubic
88	mixnet_xl	80.474	19.526	94.934	5.066	11.90	224	0.875	bicubic
89	ecaresnetlight	80.458	19.542	95.250	4.750	30.16	224	0.875	bicubic
90	tf_efficientnet_el	80.448	19.552	95.170	4.830	10.59	300	0.904	bicubic
91	gluon_resnet101_v1d	80.402	19.598	95.020	4.980	44.57	224	0.875	bicubic
92	efficientnet_b2	80.378	19.622	95.078	4.922	9.11	260	0.875	bicubic
93	regnety_120	80.378	19.622	95.122	4.878	51.82	224	0.875	bicubic
94	gluon_resnext101_32x4d	80.334	19.666	94.908	5.092	44.18	224	0.875	bicubic
95	rexnet_150	80.310	19.690	95.162	4.838	9.73	224	0.875	bicubic
96	ssl_resnext50_32x4d	80.302	19.698	95.412	4.588	25.03	224	0.875	bilinear
97	tf_efficientnet_b2_ap	80.302	19.698	95.032	4.968	9.11	260	0.890	bicubic
98	gluon_resnet101_v1s	80.286	19.714	95.160	4.840	44.67	224	0.875	bicubic
99	regnety_160	80.276	19.724	94.968	5.032	83.59	224	0.875	bicubic
100	seresnet50	80.258	19.742	95.066	4.934	28.09	224	0.875	bicubic
101	regnetx_320	80.254	19.746	95.030	4.970	107.81	224	0.875	bicubic
102	legacy_seresnext101_32x4d	80.228	19.772	95.020	4.980	48.96	224	0.875	bilinear
103	resnetv2_50x1_bitm	80.192	19.808	95.630	4.370	25.55	480	1.000	bilinear
104	dpn107	80.156	19.844	94.910	5.090	86.92	224	0.875	bicubic
105	skresnext50_32x4d	80.146	19.854	94.640	5.360	27.48	224	0.875	bicubic
106	tf_efficientnet_b2	80.072	19.928	94.904	5.096	9.11	260	0.890	bicubic
107	cspdarknet53	80.048	19.952	95.092	4.908	27.64	256	0.887	bilinear
108	cspresnext50	80.046	19.954	94.944	5.056	20.57	224	0.875	bilinear
109	dpn92	79.990	20.010	94.844	5.156	37.67	224	0.875	bicubic
110	gluon_seresnext50_32x4d	79.924	20.076	94.822	5.178	27.56	224	0.875	bicubic
111	gluon_resnet152_v1c	79.914	20.086	94.848	5.152	60.21	224	0.875	bicubic
112	efficientnet_b2_pruned	79.906	20.094	94.856	5.144	8.31	260	0.890	bicubic
113	xception71	79.884	20.116	94.932	5.068	42.34	299	0.903	bicubic
114	regnety_080	79.870	20.130	94.830	5.170	39.18	224	0.875	bicubic
115	regnetx_160	79.838	20.162	94.824	5.176	54.28	224	0.875	bicubic
116	dpn131	79.826	20.174	94.712	5.288	79.25	224	0.875	bicubic
117	tf_efficientnet_lite3	79.826	20.174	94.908	5.092	8.20	300	0.904	bilinear
118	resnext50_32x4d	79.790	20.210	94.606	5.394	25.03	224	0.875	bicubic
119	regnety_064	79.732	20.268	94.764	5.236	30.58	224	0.875	bicubic
120	ecaresnet50d_pruned	79.712	20.288	94.876	5.124	19.94	224	0.875	bicubic
121	gluon_xception65	79.702	20.298	94.868	5.132	39.92	299	0.903	bicubic
122	gluon_resnet152_v1b	79.692	20.308	94.734	5.266	60.19	224	0.875	bicubic
123	resnext50d_32x4d	79.668	20.332	94.866	5.134	25.05	224	0.875	bicubic
124	dpn98	79.650	20.350	94.606	5.394	61.57	224	0.875	bicubic
125	regnetx_120	79.610	20.390	94.732	5.268	46.11	224	0.875	bicubic
126	cspresnet50	79.574	20.426	94.708	5.292	21.62	256	0.887	bilinear
127	xception65	79.550	20.450	94.658	5.342	39.92	299	0.903	bicubic
128	gluon_resnet101_v1c	79.532	20.468	94.588	5.412	44.57	224	0.875	bicubic
129	rexnet_130	79.494	20.506	94.674	5.326	7.56	224	0.875	bicubic
130	hrnet_w64	79.462	20.538	94.654	5.346	128.06	224	0.875	bilinear
131	dla102x2	79.442	20.558	94.646	5.354	41.28	224	0.875	bilinear
132	gluon_resnext50_32x4d	79.354	20.646	94.424	5.576	25.03	224	0.875	bicubic
133	tf_efficientnet_cc_b1_8e	79.326	20.674	94.372	5.628	39.72	240	0.882	bicubic
134	hrnet_w48	79.316	20.684	94.514	5.486	77.47	224	0.875	bilinear
135	ese_vovnet39b	79.312	20.688	94.722	5.278	24.57	224	0.875	bicubic
136	gluon_resnet101_v1b	79.304	20.696	94.530	5.470	44.55	224	0.875	bicubic
137	resnext101_32x8d	79.304	20.696	94.526	5.474	88.79	224	0.875	bilinear
138	resnetblur50	79.286	20.714	94.640	5.360	25.56	224	0.875	bicubic
139	tf_efficientnet_b1_ap	79.276	20.724	94.302	5.698	7.79	240	0.882	bicubic
140	efficientnet_em	79.264	20.736	94.790	5.210	6.90	240	0.882	bicubic
141	ssl_resnet50	79.236	20.764	94.830	5.170	25.56	224	0.875	bilinear
142	regnety_040	79.232	20.768	94.644	5.356	20.65	224	0.875	bicubic
143	dpn68b	79.212	20.788	94.422	5.578	12.61	224	0.875	bicubic
144	regnetx_080	79.212	20.788	94.554	5.446	39.57	224	0.875	bicubic
145	res2net101_26w_4s	79.194	20.806	94.434	5.566	45.21	224	0.875	bilinear
146	res2net50_26w_8s	79.192	20.808	94.368	5.632	48.40	224	0.875	bilinear
147	legacy_seresnext50_32x4d	79.084	20.916	94.434	5.566	27.56	224	0.875	bilinear
148	regnetx_064	79.064	20.936	94.470	5.530	26.21	224	0.875	bicubic
149	gluon_resnet50_v1d	79.064	20.936	94.460	5.540	25.58	224	0.875	bicubic
150	xception	79.046	20.954	94.396	5.604	22.86	299	0.897	bicubic
151	resnet50	79.036	20.964	94.392	5.608	25.56	224	0.875	bicubic
152	mixnet_l	78.980	21.020	94.182	5.818	7.33	224	0.875	bicubic
153	hrnet_w40	78.932	21.068	94.478	5.522	57.56	224	0.875	bilinear
154	hrnet_w44	78.890	21.110	94.374	5.626	67.06	224	0.875	bilinear
155	wide_resnet101_2	78.854	21.146	94.282	5.718	126.89	224	0.875	bilinear
156	tf_efficientnet_b1	78.844	21.156	94.196	5.804	7.79	240	0.882	bicubic
157	gluon_inception_v3	78.800	21.200	94.380	5.620	23.83	299	0.875	bicubic
158	tf_mixnet_l	78.776	21.224	94.002	5.998	7.33	224	0.875	bicubic
159	tf_efficientnet_em	78.712	21.288	94.328	5.672	6.90	240	0.882	bicubic
160	efficientnet_b1	78.706	21.294	94.154	5.846	7.79	240	0.875	bicubic
161	gluon_resnet50_v1s	78.700	21.300	94.246	5.754	25.68	224	0.875	bicubic
162	dla169	78.694	21.306	94.330	5.670	53.39	224	0.875	bilinear
163	legacy_seresnet152	78.666	21.334	94.376	5.624	66.82	224	0.875	bilinear
164	tf_efficientnet_b0_ns	78.660	21.340	94.372	5.628	5.29	224	0.875	bicubic
165	res2net50_26w_6s	78.566	21.434	94.120	5.880	37.05	224	0.875	bilinear
166	xception41	78.536	21.464	94.284	5.716	26.97	299	0.903	bicubic
167	dla102x	78.510	21.490	94.230	5.770	26.31	224	0.875	bilinear
168	regnetx_040	78.484	21.516	94.252	5.748	22.12	224	0.875	bicubic
169	resnest26d	78.480	21.520	94.300	5.700	17.07	224	0.875	bilinear
170	dla60_res2net	78.460	21.540	94.206	5.794	20.85	224	0.875	bilinear
171	hrnet_w32	78.446	21.554	94.190	5.810	41.23	224	0.875	bilinear
172	dla60_res2next	78.444	21.556	94.158	5.842	17.03	224	0.875	bilinear
173	selecsls60b	78.410	21.590	94.178	5.822	32.77	224	0.875	bicubic
174	legacy_seresnet101	78.380	21.620	94.262	5.738	49.33	224	0.875	bilinear
175	tv_resnet152	78.320	21.680	94.052	5.948	60.19	224	0.875	bilinear
176	dla60x	78.250	21.750	94.024	5.976	17.35	224	0.875	bilinear
177	efficientnet_b1_pruned	78.248	21.752	93.836	6.164	6.33	240	0.882	bicubic
178	res2next50	78.236	21.764	93.906	6.094	24.67	224	0.875	bilinear
179	hrnet_w30	78.206	21.794	94.224	5.776	37.71	224	0.875	bilinear
180	regnetx_032	78.148	21.852	94.088	5.912	15.30	224	0.875	bicubic
181	res2net50_14w_8s	78.138	21.862	93.856	6.144	25.06	224	0.875	bilinear
182	efficientnet_es	78.088	21.912	93.932	6.068	5.44	224	0.875	bicubic
183	dla102	78.030	21.970	93.952	6.048	33.27	224	0.875	bilinear
184	gluon_resnet50_v1c	78.008	21.992	93.988	6.012	25.58	224	0.875	bicubic
185	res2net50_26w_4s	77.992	22.008	93.852	6.148	25.70	224	0.875	bilinear
186	selecsls60	77.990	22.010	93.828	6.172	30.67	224	0.875	bicubic
187	seresnext26t_32x4d	77.988	22.012	93.732	6.268	16.82	224	0.875	bicubic
188	seresnext26tn_32x4d	77.986	22.014	93.744	6.256	16.81	224	0.875	bicubic
189	tf_efficientnet_cc_b0_8e	77.908	22.092	93.652	6.348	24.01	224	0.875	bicubic
190	regnety_016	77.868	22.132	93.726	6.274	11.20	224	0.875	bicubic
191	tf_inception_v3	77.866	22.134	93.646	6.354	23.83	299	0.875	bicubic
192	rexnet_100	77.862	22.138	93.878	6.122	4.80	224	0.875	bicubic
193	vit_small_patch16_224	77.854	22.146	93.424	6.576	48.75	224	0.900	bicubic
194	efficientnet_b0	77.706	22.294	93.522	6.478	5.29	224	0.875	bicubic
195	legacy_seresnet50	77.636	22.364	93.744	6.256	28.09	224	0.875	bilinear
196	tv_resnext50_32x4d	77.614	22.386	93.684	6.316	25.03	224	0.875	bilinear
197	seresnext26d_32x4d	77.586	22.414	93.608	6.392	16.81	224	0.875	bicubic
198	adv_inception_v3	77.582	22.418	93.740	6.260	23.83	299	0.875	bicubic
199	gluon_resnet50_v1b	77.578	22.422	93.718	6.282	25.56	224	0.875	bicubic
200	res2net50_48w_2s	77.534	22.466	93.560	6.440	25.29	224	0.875	bilinear
201	tf_efficientnet_lite2	77.482	22.518	93.748	6.252	6.09	260	0.890	bicubic
202	inception_v3	77.464	22.536	93.476	6.524	23.83	299	0.875	bicubic
203	tv_resnet101	77.366	22.634	93.556	6.444	44.55	224	0.875	bilinear
204	densenet161	77.360	22.640	93.634	6.366	28.68	224	0.875	bicubic
205	tf_efficientnet_cc_b0_4e	77.320	22.680	93.322	6.678	13.31	224	0.875	bicubic
206	densenet201	77.290	22.710	93.480	6.520	20.01	224	0.875	bicubic
207	tf_efficientnet_es	77.284	22.716	93.604	6.396	5.44	224	0.875	bicubic
208	mobilenetv2_120d	77.278	22.722	93.510	6.490	5.83	224	0.875	bicubic
209	mixnet_m	77.274	22.726	93.422	6.578	5.01	224	0.875	bicubic
210	selecsls42b	77.184	22.816	93.388	6.612	32.46	224	0.875	bicubic
211	resnet34d	77.114	22.886	93.382	6.618	21.82	224	0.875	bicubic
212	legacy_seresnext26_32x4d	77.106	22.894	93.308	6.692	16.79	224	0.875	bicubic
213	tf_efficientnet_b0_ap	77.102	22.898	93.264	6.736	5.29	224	0.875	bicubic
214	dla60	77.036	22.964	93.324	6.676	22.04	224	0.875	bilinear
215	tf_mixnet_m	76.956	23.044	93.164	6.836	5.01	224	0.875	bicubic
216	regnetx_016	76.946	23.054	93.426	6.574	9.19	224	0.875	bicubic
217	skresnet34	76.930	23.070	93.322	6.678	22.28	224	0.875	bicubic
218	tf_efficientnet_b0	76.848	23.152	93.232	6.768	5.29	224	0.875	bicubic
219	ese_vovnet19b_dw	76.818	23.182	93.278	6.722	6.54	224	0.875	bicubic
220	hrnet_w18	76.764	23.236	93.442	6.558	21.30	224	0.875	bilinear
221	resnet26d	76.688	23.312	93.146	6.854	16.01	224	0.875	bicubic
222	tf_efficientnet_lite1	76.666	23.334	93.238	6.762	5.42	240	0.882	bicubic
223	densenetblur121d	76.586	23.414	93.196	6.804	8.00	224	0.875	bicubic
224	mobilenetv2_140	76.512	23.488	92.998	7.002	6.11	224	0.875	bicubic
225	regnety_008	76.320	23.680	93.068	6.932	6.26	224	0.875	bicubic
226	dpn68	76.312	23.688	92.968	7.032	12.61	224	0.875	bicubic
227	tv_resnet50	76.158	23.842	92.878	7.122	25.56	224	0.875	bilinear
228	mixnet_s	75.994	24.006	92.790	7.210	4.13	224	0.875	bicubic
229	densenet169	75.898	24.102	93.022	6.978	14.15	224	0.875	bicubic
230	mobilenetv3_large_100	75.774	24.226	92.538	7.462	5.48	224	0.875	bicubic
231	tf_mixnet_s	75.682	24.318	92.638	7.362	4.13	224	0.875	bicubic
232	mobilenetv3_rw	75.620	24.380	92.712	7.288	5.48	224	0.875	bicubic
233	densenet121	75.564	24.436	92.648	7.352	7.98	224	0.875	bicubic
234	resnest14d	75.514	24.486	92.518	7.482	10.61	224	0.875	bilinear
235	tf_mobilenetv3_large_100	75.510	24.490	92.610	7.390	5.48	224	0.875	bilinear
236	efficientnet_lite0	75.502	24.498	92.514	7.486	4.65	224	0.875	bicubic
237	semnasnet_100	75.452	24.548	92.610	7.390	3.89	224	0.875	bicubic
238	resnet26	75.290	24.710	92.566	7.434	16.00	224	0.875	bicubic
239	regnety_006	75.268	24.732	92.530	7.470	6.06	224	0.875	bicubic
240	fbnetc_100	75.116	24.884	92.374	7.626	5.57	224	0.875	bilinear
241	hrnet_w18_small_v2	75.108	24.892	92.412	7.588	15.60	224	0.875	bilinear
242	resnet34	75.106	24.894	92.276	7.724	21.80	224	0.875	bilinear
243	regnetx_008	75.052	24.948	92.342	7.658	7.26	224	0.875	bicubic
244	mobilenetv2_110d	75.048	24.952	92.190	7.810	4.52	224	0.875	bicubic
245	tf_efficientnet_lite0	74.832	25.168	92.174	7.826	4.65	224	0.875	bicubic
246	legacy_seresnet34	74.790	25.210	92.126	7.874	21.96	224	0.875	bilinear
247	tv_densenet121	74.742	25.258	92.154	7.846	7.98	224	0.875	bicubic
248	mnasnet_100	74.670	25.330	92.102	7.898	4.38	224	0.875	bicubic
249	dla34	74.624	25.376	92.062	7.938	15.74	224	0.875	bilinear
250	gluon_resnet34_v1b	74.588	25.412	91.996	8.004	21.80	224	0.875	bicubic
251	spnasnet_100	74.080	25.920	91.820	8.180	4.42	224	0.875	bilinear
252	regnety_004	74.018	25.982	91.764	8.236	4.34	224	0.875	bicubic
253	regnetx_006	73.844	26.156	91.678	8.322	6.20	224	0.875	bicubic
254	tf_mobilenetv3_large_075	73.448	26.552	91.342	8.658	3.99	224	0.875	bilinear
255	tv_resnet34	73.304	26.696	91.424	8.576	21.80	224	0.875	bilinear
256	swsl_resnet18	73.280	26.720	91.758	8.242	11.69	224	0.875	bilinear
257	skresnet18	73.026	26.974	91.172	8.828	11.96	224	0.875	bicubic
258	mobilenetv2_100	72.950	27.050	91.002	8.998	3.50	224	0.875	bicubic
259	ssl_resnet18	72.616	27.384	91.416	8.584	11.69	224	0.875	bilinear
260	regnetx_004	72.394	27.606	90.818	9.182	5.16	224	0.875	bicubic
261	hrnet_w18_small	72.336	27.664	90.684	9.316	13.19	224	0.875	bilinear
262	resnet18d	72.274	27.726	90.688	9.312	11.71	224	0.875	bicubic
263	tf_mobilenetv3_large_minimal_100	72.244	27.756	90.636	9.364	3.92	224	0.875	bilinear
264	legacy_seresnet18	71.736	28.264	90.342	9.658	11.78	224	0.875	bicubic
265	gluon_resnet18_v1b	70.838	29.162	89.758	10.242	11.69	224	0.875	bicubic
266	regnety_002	70.278	29.722	89.546	10.454	3.16	224	0.875	bicubic
267	resnet18	69.742	30.258	89.086	10.914	11.69	224	0.875	bilinear
268	regnetx_002	68.754	31.246	88.560	11.440	2.68	224	0.875	bicubic
269	tf_mobilenetv3_small_100	67.922	32.078	87.676	12.324	2.54	224	0.875	bilinear
270	dla60x_c	67.912	32.088	88.418	11.582	1.32	224	0.875	bilinear
271	dla46x_c	65.976	34.024	86.988	13.012	1.07	224	0.875	bilinear
272	tf_mobilenetv3_small_075	65.724	34.276	86.134	13.866	2.04	224	0.875	bilinear
273	dla46_c	64.870	35.130	86.294	13.706	1.30	224	0.875	bilinear
274	tf_mobilenetv3_small_minimal_100	62.910	37.090	84.244	15.756	2.04	224	0.875	bilinear
275	inception_v4	1.008	98.992	16.854	83.146	42.68	299	0.875	bicubic
276	ens_adv_inception_resnet_v2	0.998	99.002	17.324	82.676	55.85	299	0.897	bicubic
277	pnasnet5large	0.984	99.016	18.576	81.424	86.06	331	0.911	bicubic
278	inception_resnet_v2	0.950	99.050	17.294	82.706	55.85	299	0.897	bicubic