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

1	model	top1	top1_err	top5	top5_err	param_count	img_size	cropt_pct	interpolation
2	resnet18	69.758	30.242	89.078	10.922	11.69	224	0.875	bilinear
3	gluon_resnet18_v1b	70.83	29.17	89.756	10.244	11.69	224	0.875	bicubic
4	seresnet18	71.758	28.242	90.334	9.666	11.78	224	0.875	bicubic
5	tv_resnet34	73.314	26.686	91.42	8.58	21.8	224	0.875	bilinear
6	spnasnet_100	74.08	25.92	91.832	8.168	4.42	224	0.875	bilinear
7	gluon_resnet34_v1b	74.58	25.42	91.988	8.012	21.8	224	0.875	bicubic
8	mnasnet_100	74.656	25.344	92.126	7.874	4.38	224	0.875	bicubic
9	densenet121	74.752	25.248	92.152	7.848	7.98	224	0.875	bicubic
10	seresnet34	74.808	25.192	92.126	7.874	21.96	224	0.875	bilinear
11	resnet34	75.112	24.888	92.288	7.712	21.8	224	0.875	bilinear
12	fbnetc_100	75.12	24.88	92.386	7.614	5.57	224	0.875	bilinear
13	resnet26	75.292	24.708	92.57	7.43	16	224	0.875	bicubic
14	semnasnet_100	75.456	24.544	92.592	7.408	3.89	224	0.875	bicubic
15	mobilenetv3_100	75.628	24.372	92.708	7.292	5.48	224	0.875	bicubic
16	tf_mixnet_s	75.648	24.352	92.636	7.364	4.13	224	0.875	bicubic
17	densenet169	75.912	24.088	93.024	6.976	14.15	224	0.875	bicubic
18	mixnet_s	75.988	24.012	92.794	7.206	4.13	224	0.875	bicubic
19	tv_resnet50	76.13	23.87	92.862	7.138	25.56	224	0.875	bilinear
20	dpn68	76.306	23.694	92.97	7.03	12.61	224	0.875	bicubic
21	resnet26d	76.68	23.32	93.166	6.834	16.01	224	0.875	bicubic
22	tf_efficientnet_b0	76.84	23.16	93.226	6.774	5.29	224	0.875	bicubic
23	efficientnet_b0	76.914	23.086	93.206	6.794	5.29	224	0.875	bicubic
24	tf_mixnet_m	76.95	23.05	93.156	6.844	5.01	224	0.875	bicubic
25	seresnext26_32x4d	77.1	22.9	93.31	6.69	16.79	224	0.875	bicubic
26	mixnet_m	77.256	22.744	93.418	6.582	5.01	224	0.875	bicubic
27	tf_efficientnet_es	77.264	22.736	93.6	6.4	5.44	224	0.875	bicubic
28	densenet201	77.29	22.71	93.478	6.522	20.01	224	0.875	bicubic
29	densenet161	77.348	22.652	93.648	6.352	28.68	224	0.875	bicubic
30	resnet101	77.374	22.626	93.546	6.454	44.55	224	0.875	bilinear
31	inception_v3	77.434	22.566	93.478	6.522	27.16	299	0.875	bicubic
32	dpn68b	77.514	22.486	93.822	6.178	12.61	224	0.875	bicubic
33	adv_inception_v3	77.576	22.424	93.724	6.276	23.83	299	0.875	bicubic
34	gluon_resnet50_v1b	77.578	22.422	93.718	6.282	25.56	224	0.875	bicubic
35	tv_resnext50_32x4d	77.618	22.382	93.698	6.302	25.03	224	0.875	bilinear
36	seresnet50	77.636	22.364	93.752	6.248	28.09	224	0.875	bilinear
37	tf_inception_v3	77.856	22.144	93.644	6.356	23.83	299	0.875	bicubic
38	gluon_resnet50_v1c	78.012	21.988	93.988	6.012	25.58	224	0.875	bicubic
39	resnet152	78.312	21.688	94.046	5.954	60.19	224	0.875	bilinear
40	seresnet101	78.396	21.604	94.258	5.742	49.33	224	0.875	bilinear
41	wide_resnet50_2	78.468	21.532	94.086	5.914	68.88	224	0.875	bilinear
42	resnet50	78.47	21.53	94.266	5.734	25.56	224	0.875	bicubic
43	resnext50_32x4d	78.51	21.49	94.054	5.946	25.03	224	0.875	bicubic
44	seresnet152	78.658	21.342	94.374	5.626	66.82	224	0.875	bilinear
45	efficientnet_b1	78.692	21.308	94.086	5.914	7.79	240	0.882	bicubic
46	tf_efficientnet_em	78.698	21.302	94.32	5.68	6.9	240	0.882	bicubic
47	gluon_resnet50_v1s	78.712	21.288	94.242	5.758	25.68	224	0.875	bicubic
48	tf_mixnet_l	78.77	21.23	94.004	5.996	7.33	224	0.875	bicubic
49	gluon_inception_v3	78.804	21.196	94.38	5.62	23.83	299	0.875	bicubic
50	tf_efficientnet_b1	78.832	21.168	94.196	5.804	7.79	240	0.882	bicubic
51	wide_resnet101_2	78.846	21.154	94.284	5.716	126.89	224	0.875	bilinear
52	mixnet_l	78.976	21.024	94.184	5.816	7.33	224	0.875	bicubic
53	xception	79.048	20.952	94.392	5.608	22.86	299	0.8975	bicubic
54	gluon_resnet50_v1d	79.074	20.926	94.476	5.524	25.58	224	0.875	bicubic
55	seresnext50_32x4d	79.076	20.924	94.434	5.566	27.56	224	0.875	bilinear
56	gluon_resnet101_v1b	79.304	20.696	94.524	5.476	44.55	224	0.875	bicubic
57	resnext101_32x8d	79.312	20.688	94.526	5.474	88.79	224	0.875	bilinear
58	gluon_resnext50_32x4d	79.356	20.644	94.424	5.576	25.03	224	0.875	bicubic
59	gluon_resnet101_v1c	79.544	20.456	94.586	5.414	44.57	224	0.875	bicubic
60	gluon_xception65	79.604	20.396	94.748	5.252	39.92	299	0.875	bicubic
61	dpn98	79.636	20.364	94.594	5.406	61.57	224	0.875	bicubic
62	resnext50d_32x4d	79.674	20.326	94.868	5.132	25.05	224	0.875	bicubic
63	gluon_resnet152_v1b	79.692	20.308	94.738	5.262	60.19	224	0.875	bicubic
64	efficientnet_b2	79.752	20.248	94.71	5.29	9.11	260	0.89	bicubic
65	dpn131	79.828	20.172	94.704	5.296	79.25	224	0.875	bicubic
66	gluon_seresnext50_32x4d	79.912	20.088	94.818	5.182	27.56	224	0.875	bicubic
67	gluon_resnet152_v1c	79.916	20.084	94.842	5.158	60.21	224	0.875	bicubic
68	ens_adv_inception_resnet_v2	79.976	20.024	94.946	5.054	55.84	299	0.8975	bicubic
69	dpn92	80.016	19.984	94.838	5.162	37.67	224	0.875	bicubic
70	tf_efficientnet_b2	80.09	19.91	94.906	5.094	9.11	260	0.89	bicubic
71	mixnet_xl	80.12	19.88	95.022	4.978	11.9	224	0.875	bicubic
72	inception_v4	80.156	19.844	94.974	5.026	42.68	299	0.875	bicubic
73	dpn107	80.164	19.836	94.912	5.088	86.92	224	0.875	bicubic
74	seresnext101_32x4d	80.236	19.764	95.028	4.972	48.96	224	0.875	bilinear
75	gluon_resnet101_v1s	80.3	19.7	95.15	4.85	44.67	224	0.875	bicubic
76	gluon_resnext101_32x4d	80.334	19.666	94.926	5.074	44.18	224	0.875	bicubic
77	gluon_resnet101_v1d	80.424	19.576	95.02	4.98	44.57	224	0.875	bicubic
78	tf_efficientnet_el	80.448	19.552	95.16	4.84	10.59	300	0.904	bicubic
79	inception_resnet_v2	80.46	19.54	95.31	4.69	55.84	299	0.8975	bicubic
80	gluon_resnet152_v1d	80.47	19.53	95.206	4.794	60.21	224	0.875	bicubic
81	gluon_resnext101_64x4d	80.602	19.398	94.994	5.006	83.46	224	0.875	bicubic
82	gluon_seresnext101_64x4d	80.89	19.11	95.304	4.696	88.23	224	0.875	bicubic
83	gluon_seresnext101_32x4d	80.902	19.098	95.294	4.706	48.96	224	0.875	bicubic
84	gluon_resnet152_v1s	81.012	18.988	95.416	4.584	60.32	224	0.875	bicubic
85	gluon_senet154	81.224	18.776	95.356	4.644	115.09	224	0.875	bicubic
86	senet154	81.304	18.696	95.498	4.502	115.09	224	0.875	bilinear
87	tf_efficientnet_b3	81.64	18.36	95.722	4.278	12.23	300	0.904	bicubic
88	nasnetalarge	82.558	17.442	96.036	3.964	88.75	331	0.875	bicubic
89	ig_resnext101_32x8d	82.688	17.312	96.632	3.368	88.79	224	0.875	bilinear
90	pnasnet5large	82.74	17.26	96.04	3.96	86.06	331	0.875	bicubic
91	tf_efficientnet_b4	83.016	16.984	96.298	3.702	19.34	380	0.922	bicubic
92	tf_efficientnet_b5	83.686	16.314	96.712	3.288	30.39	456	0.934	bicubic
93	tf_efficientnet_b6	84.112	15.888	96.884	3.116	43.04	528	0.942	bicubic
94	ig_resnext101_32x16d	84.176	15.824	97.196	2.804	194.03	224	0.875	bilinear
95	tf_efficientnet_b7	84.42	15.58	96.908	3.092	66.35	600	0.949	bicubic
96	ig_resnext101_32x32d	85.092	14.908	97.436	2.564	468.53	224	0.875	bilinear
97	ig_resnext101_32x48d	85.442	14.558	97.572	2.428	828.41	224	0.875	bilinear