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

1	model	top1	top1_err	top5	top5_err	param_count	img_size	cropt_pct	interpolation
2	ig_resnext101_32x48d	85.442	14.558	97.572	2.428	828.41	224	0.875	bilinear
3	tf_efficientnet_b8_ap	85.368	14.632	97.294	2.706	87.41	672	0.954	bicubic
4	tf_efficientnet_b7_ap	85.118	14.882	97.252	2.748	66.35	600	0.949	bicubic
5	ig_resnext101_32x32d	85.092	14.908	97.436	2.564	468.53	224	0.875	bilinear
6	tf_efficientnet_b7	84.932	15.068	97.208	2.792	66.35	600	0.949	bicubic
7	tf_efficientnet_b6_ap	84.786	15.214	97.138	2.862	43.04	528	0.942	bicubic
8	swsl_resnext101_32x8d	84.294	15.706	97.174	2.826	88.79	224	0.875	bilinear
9	tf_efficientnet_b5_ap	84.254	15.746	96.976	3.024	30.39	456	0.934	bicubic
10	ig_resnext101_32x16d	84.176	15.824	97.196	2.804	194.03	224	0.875	bilinear
11	tf_efficientnet_b6	84.112	15.888	96.884	3.116	43.04	528	0.942	bicubic
12	tf_efficientnet_b5	83.816	16.184	96.75	3.25	30.39	456	0.934	bicubic
13	swsl_resnext101_32x16d	83.338	16.662	96.852	3.148	194.03	224	0.875	bilinear
14	tf_efficientnet_b4_ap	83.248	16.752	96.388	3.612	19.34	380	0.922	bicubic
15	swsl_resnext101_32x4d	83.234	16.766	96.756	3.244	44.18	224	0.875	bilinear
16	tf_efficientnet_b4	83.016	16.984	96.298	3.702	19.34	380	0.922	bicubic
17	pnasnet5large	82.74	17.26	96.04	3.96	86.06	331	0.875	bicubic
18	ig_resnext101_32x8d	82.688	17.312	96.632	3.368	88.79	224	0.875	bilinear
19	nasnetalarge	82.558	17.442	96.036	3.964	88.75	331	0.875	bicubic
20	swsl_resnext50_32x4d	82.18	17.82	96.228	3.772	25.03	224	0.875	bilinear
21	ssl_resnext101_32x16d	81.836	18.164	96.094	3.906	194.03	224	0.875	bilinear
22	tf_efficientnet_b3_ap	81.828	18.172	95.624	4.376	12.23	300	0.904	bicubic
23	tf_efficientnet_b3	81.64	18.36	95.722	4.278	12.23	300	0.904	bicubic
24	ssl_resnext101_32x8d	81.626	18.374	96.038	3.962	88.79	224	0.875	bilinear
25	senet154	81.304	18.696	95.498	4.502	115.09	224	0.875	bilinear
26	gluon_senet154	81.224	18.776	95.356	4.644	115.09	224	0.875	bicubic
27	swsl_resnet50	81.18	18.82	95.986	4.014	25.56	224	0.875	bilinear
28	gluon_resnet152_v1s	81.012	18.988	95.416	4.584	60.32	224	0.875	bicubic
29	ssl_resnext101_32x4d	80.928	19.072	95.728	4.272	44.18	224	0.875	bilinear
30	gluon_seresnext101_32x4d	80.902	19.098	95.294	4.706	48.96	224	0.875	bicubic
31	gluon_seresnext101_64x4d	80.89	19.11	95.304	4.696	88.23	224	0.875	bicubic
32	gluon_resnext101_64x4d	80.602	19.398	94.994	5.006	83.46	224	0.875	bicubic
33	gluon_resnet152_v1d	80.47	19.53	95.206	4.794	60.21	224	0.875	bicubic
34	inception_resnet_v2	80.46	19.54	95.31	4.69	55.84	299	0.8975	bicubic
35	tf_efficientnet_el	80.448	19.552	95.16	4.84	10.59	300	0.904	bicubic
36	gluon_resnet101_v1d	80.424	19.576	95.02	4.98	44.57	224	0.875	bicubic
37	gluon_resnext101_32x4d	80.334	19.666	94.926	5.074	44.18	224	0.875	bicubic
38	ssl_resnext50_32x4d	80.328	19.672	95.404	4.596	25.03	224	0.875	bilinear
39	tf_efficientnet_b2_ap	80.306	19.694	95.028	4.972	9.11	260	0.89	bicubic
40	gluon_resnet101_v1s	80.3	19.7	95.15	4.85	44.67	224	0.875	bicubic
41	seresnext101_32x4d	80.236	19.764	95.028	4.972	48.96	224	0.875	bilinear
42	dpn107	80.164	19.836	94.912	5.088	86.92	224	0.875	bicubic
43	inception_v4	80.156	19.844	94.974	5.026	42.68	299	0.875	bicubic
44	mixnet_xl	80.12	19.88	95.022	4.978	11.9	224	0.875	bicubic
45	tf_efficientnet_b2	80.09	19.91	94.906	5.094	9.11	260	0.89	bicubic
46	dpn92	80.016	19.984	94.838	5.162	37.67	224	0.875	bicubic
47	ens_adv_inception_resnet_v2	79.976	20.024	94.946	5.054	55.84	299	0.8975	bicubic
48	gluon_resnet152_v1c	79.916	20.084	94.842	5.158	60.21	224	0.875	bicubic
49	gluon_seresnext50_32x4d	79.912	20.088	94.818	5.182	27.56	224	0.875	bicubic
50	dpn131	79.828	20.172	94.704	5.296	79.25	224	0.875	bicubic
51	efficientnet_b2	79.752	20.248	94.71	5.29	9.11	260	0.89	bicubic
52	gluon_resnet152_v1b	79.692	20.308	94.738	5.262	60.19	224	0.875	bicubic
53	resnext50d_32x4d	79.674	20.326	94.868	5.132	25.05	224	0.875	bicubic
54	dpn98	79.636	20.364	94.594	5.406	61.57	224	0.875	bicubic
55	gluon_xception65	79.604	20.396	94.748	5.252	39.92	299	0.875	bicubic
56	gluon_resnet101_v1c	79.544	20.456	94.586	5.414	44.57	224	0.875	bicubic
57	hrnet_w64	79.472	20.528	94.65	5.35	128.06	224	0.875	bilinear
58	dla102x2	79.452	20.548	94.644	5.356	41.75	224	0.875	bilinear
59	gluon_resnext50_32x4d	79.356	20.644	94.424	5.576	25.03	224	0.875	bicubic
60	resnext101_32x8d	79.312	20.688	94.526	5.474	88.79	224	0.875	bilinear
61	hrnet_w48	79.31	20.69	94.52	5.48	77.47	224	0.875	bilinear
62	gluon_resnet101_v1b	79.304	20.696	94.524	5.476	44.55	224	0.875	bicubic
63	tf_efficientnet_cc_b1_8e	79.298	20.702	94.364	5.636	39.72	240	0.882	bicubic
64	tf_efficientnet_b1_ap	79.278	20.722	94.308	5.692	7.79	240	0.882	bicubic
65	ssl_resnet50	79.228	20.772	94.832	5.168	25.56	224	0.875	bilinear
66	res2net50_26w_8s	79.21	20.79	94.362	5.638	48.4	224	0.875	bilinear
67	res2net101_26w_4s	79.196	20.804	94.44	5.56	45.21	224	0.875	bilinear
68	seresnext50_32x4d	79.076	20.924	94.434	5.566	27.56	224	0.875	bilinear
69	gluon_resnet50_v1d	79.074	20.926	94.476	5.524	25.58	224	0.875	bicubic
70	xception	79.048	20.952	94.392	5.608	22.86	299	0.8975	bicubic
71	mixnet_l	78.976	21.024	94.184	5.816	7.33	224	0.875	bicubic
72	hrnet_w40	78.934	21.066	94.466	5.534	57.56	224	0.875	bilinear
73	hrnet_w44	78.894	21.106	94.37	5.63	67.06	224	0.875	bilinear
74	wide_resnet101_2	78.846	21.154	94.284	5.716	126.89	224	0.875	bilinear
75	tf_efficientnet_b1	78.832	21.168	94.196	5.804	7.79	240	0.882	bicubic
76	gluon_inception_v3	78.804	21.196	94.38	5.62	23.83	299	0.875	bicubic
77	tf_mixnet_l	78.77	21.23	94.004	5.996	7.33	224	0.875	bicubic
78	gluon_resnet50_v1s	78.712	21.288	94.242	5.758	25.68	224	0.875	bicubic
79	dla169	78.71	21.29	94.338	5.662	53.99	224	0.875	bilinear
80	tf_efficientnet_em	78.698	21.302	94.32	5.68	6.9	240	0.882	bicubic
81	efficientnet_b1	78.692	21.308	94.086	5.914	7.79	240	0.882	bicubic
82	seresnet152	78.658	21.342	94.374	5.626	66.82	224	0.875	bilinear
83	res2net50_26w_6s	78.574	21.426	94.126	5.874	37.05	224	0.875	bilinear
84	resnext50_32x4d	78.51	21.49	94.054	5.946	25.03	224	0.875	bicubic
85	dla102x	78.508	21.492	94.234	5.766	26.77	224	0.875	bilinear
86	dla60_res2net	78.472	21.528	94.204	5.796	21.15	224	0.875	bilinear
87	resnet50	78.47	21.53	94.266	5.734	25.56	224	0.875	bicubic
88	wide_resnet50_2	78.468	21.532	94.086	5.914	68.88	224	0.875	bilinear
89	dla60_res2next	78.448	21.552	94.144	5.856	17.33	224	0.875	bilinear
90	hrnet_w32	78.448	21.552	94.188	5.812	41.23	224	0.875	bilinear
91	seresnet101	78.396	21.604	94.258	5.742	49.33	224	0.875	bilinear
92	resnet152	78.312	21.688	94.046	5.954	60.19	224	0.875	bilinear
93	dla60x	78.242	21.758	94.022	5.978	17.65	224	0.875	bilinear
94	res2next50	78.242	21.758	93.892	6.108	24.67	224	0.875	bilinear
95	hrnet_w30	78.196	21.804	94.22	5.78	37.71	224	0.875	bilinear
96	res2net50_14w_8s	78.152	21.848	93.842	6.158	25.06	224	0.875	bilinear
97	dla102	78.026	21.974	93.95	6.05	33.73	224	0.875	bilinear
98	gluon_resnet50_v1c	78.012	21.988	93.988	6.012	25.58	224	0.875	bicubic
99	res2net50_26w_4s	77.946	22.054	93.852	6.148	25.7	224	0.875	bilinear
100	tf_efficientnet_cc_b0_8e	77.908	22.092	93.656	6.344	24.01	224	0.875	bicubic
101	tf_inception_v3	77.854	22.146	93.644	6.356	23.83	299	0.875	bicubic
102	seresnet50	77.636	22.364	93.752	6.248	28.09	224	0.875	bilinear
103	tv_resnext50_32x4d	77.618	22.382	93.698	6.302	25.03	224	0.875	bilinear
104	adv_inception_v3	77.58	22.42	93.724	6.276	23.83	299	0.875	bicubic
105	gluon_resnet50_v1b	77.578	22.422	93.718	6.282	25.56	224	0.875	bicubic
106	dpn68b	77.514	22.486	93.822	6.178	12.61	224	0.875	bicubic
107	res2net50_48w_2s	77.514	22.486	93.548	6.452	25.29	224	0.875	bilinear
108	inception_v3	77.436	22.564	93.476	6.524	27.16	299	0.875	bicubic
109	resnet101	77.374	22.626	93.546	6.454	44.55	224	0.875	bilinear
110	densenet161	77.348	22.652	93.648	6.352	28.68	224	0.875	bicubic
111	tf_efficientnet_cc_b0_4e	77.304	22.696	93.332	6.668	13.31	224	0.875	bicubic
112	densenet201	77.29	22.71	93.478	6.522	20.01	224	0.875	bicubic
113	tf_efficientnet_es	77.264	22.736	93.6	6.4	5.44	224	0.875	bicubic
114	mixnet_m	77.256	22.744	93.418	6.582	5.01	224	0.875	bicubic
115	seresnext26_32x4d	77.1	22.9	93.31	6.69	16.79	224	0.875	bicubic
116	tf_efficientnet_b0_ap	77.084	22.916	93.254	6.746	5.29	224	0.875	bicubic
117	dla60	77.022	22.978	93.308	6.692	22.33	224	0.875	bilinear
118	tf_mixnet_m	76.95	23.05	93.156	6.844	5.01	224	0.875	bicubic
119	efficientnet_b0	76.914	23.086	93.206	6.794	5.29	224	0.875	bicubic
120	tf_efficientnet_b0	76.84	23.16	93.226	6.774	5.29	224	0.875	bicubic
121	hrnet_w18	76.756	23.244	93.442	6.558	21.3	224	0.875	bilinear
122	resnet26d	76.68	23.32	93.166	6.834	16.01	224	0.875	bicubic
123	dpn68	76.306	23.694	92.97	7.03	12.61	224	0.875	bicubic
124	tv_resnet50	76.13	23.87	92.862	7.138	25.56	224	0.875	bilinear
125	mixnet_s	75.988	24.012	92.794	7.206	4.13	224	0.875	bicubic
126	densenet169	75.912	24.088	93.024	6.976	14.15	224	0.875	bicubic
127	tf_mixnet_s	75.648	24.352	92.636	7.364	4.13	224	0.875	bicubic
128	mobilenetv3_rw	75.628	24.372	92.708	7.292	5.48	224	0.875	bicubic
129	tf_mobilenetv3_large_100	75.516	24.484	92.6	7.4	5.48	224	0.875	bilinear
130	semnasnet_100	75.456	24.544	92.592	7.408	3.89	224	0.875	bicubic
131	resnet26	75.292	24.708	92.57	7.43	16	224	0.875	bicubic
132	hrnet_w18_small_v2	75.126	24.874	92.416	7.584	15.6	224	0.875	bilinear
133	fbnetc_100	75.12	24.88	92.386	7.614	5.57	224	0.875	bilinear
134	resnet34	75.112	24.888	92.288	7.712	21.8	224	0.875	bilinear
135	seresnet34	74.808	25.192	92.126	7.874	21.96	224	0.875	bilinear
136	densenet121	74.752	25.248	92.152	7.848	7.98	224	0.875	bicubic
137	mnasnet_100	74.656	25.344	92.126	7.874	4.38	224	0.875	bicubic
138	dla34	74.636	25.364	92.064	7.936	15.78	224	0.875	bilinear
139	gluon_resnet34_v1b	74.58	25.42	91.988	8.012	21.8	224	0.875	bicubic
140	spnasnet_100	74.08	25.92	91.832	8.168	4.42	224	0.875	bilinear
141	tf_mobilenetv3_large_075	73.442	26.558	91.352	8.648	3.99	224	0.875	bilinear
142	tv_resnet34	73.314	26.686	91.42	8.58	21.8	224	0.875	bilinear
143	swsl_resnet18	73.286	26.714	91.732	8.268	11.69	224	0.875	bilinear
144	ssl_resnet18	72.6	27.4	91.416	8.584	11.69	224	0.875	bilinear
145	hrnet_w18_small	72.342	27.658	90.672	9.328	13.19	224	0.875	bilinear
146	tf_mobilenetv3_large_minimal_100	72.244	27.756	90.636	9.364	3.92	224	0.875	bilinear
147	seresnet18	71.758	28.242	90.334	9.666	11.78	224	0.875	bicubic
148	gluon_resnet18_v1b	70.83	29.17	89.756	10.244	11.69	224	0.875	bicubic
149	resnet18	69.758	30.242	89.078	10.922	11.69	224	0.875	bilinear
150	tf_mobilenetv3_small_100	67.918	32.082	87.662	12.338	2.54	224	0.875	bilinear
151	dla60x_c	67.906	32.094	88.434	11.566	1.34	224	0.875	bilinear
152	dla46x_c	65.98	34.02	86.98	13.02	1.08	224	0.875	bilinear
153	tf_mobilenetv3_small_075	65.718	34.282	86.136	13.864	2.04	224	0.875	bilinear
154	dla46_c	64.878	35.122	86.286	13.714	1.31	224	0.875	bilinear
155	tf_mobilenetv3_small_minimal_100	62.898	37.102	84.23	15.77	2.04	224	0.875	bilinear