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	tv_resnet50	76.13	23.87	92.862	7.138	25.56	224	0.875	bilinear
19	dpn68	76.306	23.694	92.97	7.03	12.61	224	0.875	bicubic
20	tf_efficientnet_b0	76.528	23.472	93.01	6.99	5.29	224	0.875	bicubic
21	resnet26d	76.68	23.32	93.166	6.834	16.01	224	0.875	bicubic
22	efficientnet_b0	76.914	23.086	93.206	6.794	5.29	224	0.875	bicubic
23	tf_mixnet_m	76.95	23.05	93.156	6.844	5.01	224	0.875	bicubic
24	seresnext26_32x4d	77.1	22.9	93.31	6.69	16.79	224	0.875	bicubic
25	densenet201	77.29	22.71	93.478	6.522	20.01	224	0.875	bicubic
26	densenet161	77.348	22.652	93.648	6.352	28.68	224	0.875	bicubic
27	resnet101	77.374	22.626	93.546	6.454	44.55	224	0.875	bilinear
28	inception_v3	77.432	22.568	93.478	6.522	27.16	299	0.875	bicubic
29	dpn68b	77.514	22.486	93.822	6.178	12.61	224	0.875	bicubic
30	gluon_resnet50_v1b	77.578	22.422	93.718	6.282	25.56	224	0.875	bicubic
31	adv_inception_v3	77.58	22.42	93.724	6.276	23.83	299	0.875	bicubic
32	tv_resnext50_32x4d	77.618	22.382	93.698	6.302	25.03	224	0.875	bilinear
33	seresnet50	77.636	22.364	93.752	6.248	28.09	224	0.875	bilinear
34	tf_inception_v3	77.856	22.144	93.644	6.356	23.83	299	0.875	bicubic
35	gluon_resnet50_v1c	78.012	21.988	93.988	6.012	25.58	224	0.875	bicubic
36	resnet152	78.312	21.688	94.046	5.954	60.19	224	0.875	bilinear
37	seresnet101	78.396	21.604	94.258	5.742	49.33	224	0.875	bilinear
38	wide_resnet50_2	78.468	21.532	94.086	5.914	68.88	224	0.875	bilinear
39	resnet50	78.47	21.53	94.266	5.734	25.56	224	0.875	bicubic
40	resnext50_32x4d	78.51	21.49	94.054	5.946	25.03	224	0.875	bicubic
41	tf_efficientnet_b1	78.554	21.446	94.098	5.902	7.79	240	0.882	bicubic
42	seresnet152	78.658	21.342	94.374	5.626	66.82	224	0.875	bilinear
43	efficientnet_b1	78.692	21.308	94.086	5.914	7.79	240	0.882	bicubic
44	gluon_resnet50_v1s	78.712	21.288	94.242	5.758	25.68	224	0.875	bicubic
45	tf_mixnet_l	78.77	21.23	94.004	5.996	7.33	224	0.875	bicubic
46	gluon_inception_v3	78.804	21.196	94.38	5.62	23.83	299	0.875	bicubic
47	wide_resnet101_2	78.846	21.154	94.284	5.716	126.89	224	0.875	bilinear
48	xception	79.048	20.952	94.392	5.608	22.86	299	0.8975	bicubic
49	gluon_resnet50_v1d	79.074	20.926	94.476	5.524	25.58	224	0.875	bicubic
50	seresnext50_32x4d	79.076	20.924	94.434	5.566	27.56	224	0.875	bilinear
51	gluon_resnet101_v1b	79.304	20.696	94.524	5.476	44.55	224	0.875	bicubic
52	resnext101_32x8d	79.312	20.688	94.526	5.474	88.79	224	0.875	bilinear
53	gluon_resnext50_32x4d	79.356	20.644	94.424	5.576	25.03	224	0.875	bicubic
54	gluon_resnet101_v1c	79.544	20.456	94.586	5.414	44.57	224	0.875	bicubic
55	tf_efficientnet_b2	79.606	20.394	94.712	5.288	9.11	260	0.89	bicubic
56	dpn98	79.636	20.364	94.594	5.406	61.57	224	0.875	bicubic
57	resnext50d_32x4d	79.674	20.326	94.868	5.132	25.05	224	0.875	bicubic
58	gluon_resnet152_v1b	79.692	20.308	94.738	5.262	60.19	224	0.875	bicubic
59	efficientnet_b2	79.752	20.248	94.71	5.29	9.11	260	0.89	bicubic
60	dpn131	79.828	20.172	94.704	5.296	79.25	224	0.875	bicubic
61	gluon_seresnext50_32x4d	79.912	20.088	94.818	5.182	27.56	224	0.875	bicubic
62	gluon_resnet152_v1c	79.916	20.084	94.842	5.158	60.21	224	0.875	bicubic
63	ens_adv_inception_resnet_v2	79.976	20.024	94.946	5.054	55.84	299	0.8975	bicubic
64	dpn92	80.016	19.984	94.838	5.162	37.67	224	0.875	bicubic
65	inception_v4	80.156	19.844	94.974	5.026	42.68	299	0.875	bicubic
66	dpn107	80.164	19.836	94.912	5.088	86.92	224	0.875	bicubic
67	seresnext101_32x4d	80.236	19.764	95.028	4.972	48.96	224	0.875	bilinear
68	gluon_resnet101_v1s	80.3	19.7	95.15	4.85	44.67	224	0.875	bicubic
69	gluon_resnext101_32x4d	80.334	19.666	94.926	5.074	44.18	224	0.875	bicubic
70	gluon_resnet101_v1d	80.424	19.576	95.02	4.98	44.57	224	0.875	bicubic
71	inception_resnet_v2	80.46	19.54	95.31	4.69	55.84	299	0.8975	bicubic
72	gluon_resnet152_v1d	80.47	19.53	95.206	4.794	60.21	224	0.875	bicubic
73	gluon_resnext101_64x4d	80.602	19.398	94.994	5.006	83.46	224	0.875	bicubic
74	tf_efficientnet_b3	80.874	19.126	95.302	4.698	12.23	300	0.904	bicubic
75	gluon_seresnext101_64x4d	80.89	19.11	95.304	4.696	88.23	224	0.875	bicubic
76	gluon_seresnext101_32x4d	80.902	19.098	95.294	4.706	48.96	224	0.875	bicubic
77	gluon_resnet152_v1s	81.012	18.988	95.416	4.584	60.32	224	0.875	bicubic
78	gluon_senet154	81.224	18.776	95.356	4.644	115.09	224	0.875	bicubic
79	senet154	81.304	18.696	95.498	4.502	115.09	224	0.875	bilinear
80	nasnetalarge	82.558	17.442	96.036	3.964	88.75	331	0.875	bicubic
81	tf_efficientnet_b4	82.604	17.396	96.128	3.872	19.34	380	0.922	bicubic
82	ig_resnext101_32x8d	82.688	17.312	96.632	3.368	88.79	224	0.875	bilinear
83	pnasnet5large	82.74	17.26	96.04	3.96	86.06	331	0.875	bicubic
84	tf_efficientnet_b5	83.176	16.824	96.536	3.464	30.39	456	0.934	bicubic
85	ig_resnext101_32x16d	84.176	15.824	97.196	2.804	194.03	224	0.875	bilinear
86	ig_resnext101_32x32d	85.092	14.908	97.436	2.564	468.53	224	0.875	bilinear
87	ig_resnext101_32x48d	85.442	14.558	97.572	2.428	828.41	224	0.875	bilinear