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

1	model	top1	top1_err	top5	top5_err	param_count	img_size	cropt_pct	interpolation
2	tf_efficientnet_l2_ns_475	62.3867	37.6133	87.1067	12.8933	480.31	475	0.936	bicubic
3	tf_efficientnet_l2_ns	62.0267	37.9733	87.96	12.04	480.31	800	0.96	bicubic
4	tf_efficientnet_b7_ns	45.72	54.28	74.2	25.8	66.35	600	0.949	bicubic
5	ig_resnext101_32x48d	41.5733	58.4267	66.6133	33.3867	828.41	224	0.875	bilinear
6	tf_efficientnet_b6_ns	40.4267	59.5733	68.84	31.16	43.04	528	0.942	bicubic
7	ig_resnext101_32x32d	39.4133	60.5867	63.76	36.24	468.53	224	0.875	bilinear
8	tf_efficientnet_b5_ns	39.0133	60.9867	68.04	31.96	30.39	456	0.934	bicubic
9	ig_resnext101_32x16d	36.0533	63.9467	59.04	40.96	194.03	224	0.875	bilinear
10	swsl_resnext101_32x8d	32.0667	67.9333	59.4	40.6	88.79	224	0.875	bilinear
11	tf_efficientnet_b4_ns	30.8	69.2	59.44	40.56	19.34	380	0.922	bicubic
12	tf_efficientnet_b8_ap	29.6	70.4	56.9333	43.0667	87.41	672	0.954	bicubic
13	tf_efficientnet_b8	29.3733	70.6267	57.0667	42.9333	87.41	672	0.954	bicubic
14	ig_resnext101_32x8d	28.7067	71.2933	52.32	47.68	88.79	224	0.875	bilinear
15	swsl_resnext101_32x16d	27.9467	72.0533	52.32	47.68	194.03	224	0.875	bilinear
16	tf_efficientnet_b7_ap	27.8133	72.1867	54.7733	45.2267	66.35	600	0.949	bicubic
17	resnest269e	27.6133	72.3867	53.1067	46.8933	110.93	416	0.875	bilinear
18	tresnet_xl_448	26.88	73.12	51.0933	48.9067	78.44	448	0.875	bilinear
19	resnest200e	26.4267	73.5733	51.9333	48.0667	70.2	320	0.875	bilinear
20	swsl_resnext101_32x4d	25.3467	74.6533	49.6267	50.3733	44.18	224	0.875	bilinear
21	tf_efficientnet_b7	25.2533	74.7467	51.6667	48.3333	66.35	600	0.949	bicubic
22	tresnet_l_448	24.5733	75.4267	48.6	51.4	55.99	448	0.875	bilinear
23	tf_efficientnet_b6_ap	24.3467	75.6533	50.4267	49.5733	43.04	528	0.942	bicubic
24	tf_efficientnet_b6	20.3733	79.6267	45.4933	54.5067	43.04	528	0.942	bicubic
25	tresnet_m_448	19.68	80.32	42.76	57.24	31.39	448	0.875	bilinear
26	tf_efficientnet_b5_ap	19.4667	80.5333	44.72	55.28	30.39	456	0.934	bicubic
27	tf_efficientnet_b3_ns	19.4133	80.5867	44.6267	55.3733	12.23	300	0.904	bicubic
28	swsl_resnext50_32x4d	18.0667	81.9333	41.8667	58.1333	25.03	224	0.875	bilinear
29	ssl_resnext101_32x16d	17.2133	82.7867	39.9467	60.0533	194.03	224	0.875	bilinear
30	tf_efficientnet_b5	17.0667	82.9333	41.9067	58.0933	30.39	456	0.934	bicubic
31	resnest101e	16.4933	83.5067	40.7467	59.2533	48.28	256	0.875	bilinear
32	swsl_resnet50	15.9867	84.0133	38.8533	61.1467	25.56	224	0.875	bilinear
33	ssl_resnext101_32x8d	15.12	84.88	37.72	62.28	88.79	224	0.875	bilinear
34	tf_efficientnet_b4_ap	13.68	86.32	35.92	64.08	19.34	380	0.922	bicubic
35	ecaresnet101d	13.3067	86.6933	35.5333	64.4667	44.57	224	0.875	bicubic
36	tf_efficientnet_b4	13.3067	86.6933	35.52	64.48	19.34	380	0.922	bicubic
37	pnasnet5large	13.08	86.92	32.2133	67.7867	86.06	331	0.875	bicubic
38	nasnetalarge	12.5733	87.4267	33.4133	66.5867	88.75	331	0.875	bicubic
39	ssl_resnext101_32x4d	12.12	87.88	31.8933	68.1067	44.18	224	0.875	bilinear
40	tf_efficientnet_b2_ns	11.7867	88.2133	32.96	67.04	9.11	260	0.89	bicubic
41	gluon_senet154	9.9067	90.0933	26.4533	73.5467	115.09	224	0.875	bicubic
42	resnest50d_4s2x40d	9.7867	90.2133	29.1467	70.8533	30.42	224	0.875	bicubic
43	ssl_resnext50_32x4d	9.6667	90.3333	28.4267	71.5733	25.03	224	0.875	bilinear
44	senet154	9.4533	90.5467	26.44	73.56	115.09	224	0.875	bilinear
45	tresnet_xl	9.3067	90.6933	28.4133	71.5867	78.44	224	0.875	bilinear
46	efficientnet_b3a	9.2667	90.7333	28.4267	71.5733	12.23	320	1.0	bicubic
47	efficientnet_b3	8.9467	91.0533	28.2133	71.7867	12.23	300	0.904	bicubic
48	inception_v4	8.92	91.08	24.7067	75.2933	42.68	299	0.875	bicubic
49	gluon_seresnext101_64x4d	8.8667	91.1333	27.32	72.68	88.23	224	0.875	bicubic
50	tf_efficientnet_b1_ns	8.6133	91.3867	27.28	72.72	7.79	240	0.882	bicubic
51	resnest50d_1s4x24d	8.52	91.48	26.7867	73.2133	25.68	224	0.875	bicubic
52	ecaresnet50d	8.5067	91.4933	26.2667	73.7333	25.58	224	0.875	bicubic
53	gluon_xception65	8.4667	91.5333	25.1333	74.8667	39.92	299	0.875	bicubic
54	gluon_resnet152_v1d	8.4133	91.5867	23.4533	76.5467	60.21	224	0.875	bicubic
55	inception_resnet_v2	8.16	91.84	23.5333	76.4667	55.84	299	0.8975	bicubic
56	tf_efficientnet_b3_ap	8.1333	91.8667	26.28	73.72	12.23	300	0.904	bicubic
57	gluon_seresnext101_32x4d	8.04	91.96	24.7333	75.2667	48.96	224	0.875	bicubic
58	tf_efficientnet_b3	8.0133	91.9867	25.4667	74.5333	12.23	300	0.904	bicubic
59	ens_adv_inception_resnet_v2	7.9867	92.0133	23.8267	76.1733	55.84	299	0.8975	bicubic
60	tf_efficientnet_lite4	7.9333	92.0667	25.56	74.44	13.01	380	0.92	bilinear
61	tresnet_l	7.88	92.12	25.1867	74.8133	55.99	224	0.875	bilinear
62	gluon_resnet152_v1s	7.8667	92.1333	23.1733	76.8267	60.32	224	0.875	bicubic
63	resnest50d	7.7467	92.2533	25.2933	74.7067	27.48	224	0.875	bilinear
64	gluon_resnext101_64x4d	7.7067	92.2933	23.24	76.76	83.46	224	0.875	bicubic
65	skresnext50_32x4d	7.08	92.92	23.0267	76.9733	27.48	224	0.875	bicubic
66	ssl_resnet50	7.0	93.0	23.92	76.08	25.56	224	0.875	bilinear
67	regnety_320	6.92	93.08	23.04	76.96	145.05	224	0.875	bicubic
68	ecaresnet101d_pruned	6.8	93.2	24.2	75.8	24.88	224	0.875	bicubic
69	ecaresnetlight	6.76	93.24	22.56	77.44	30.16	224	0.875	bicubic
70	efficientnet_b2a	6.76	93.24	23.4933	76.5067	9.11	288	1.0	bicubic
71	seresnext101_32x4d	6.4133	93.5867	21.52	78.48	48.96	224	0.875	bilinear
72	efficientnet_b2	6.0933	93.9067	21.9333	78.0667	9.11	260	0.875	bicubic
73	gluon_resnext101_32x4d	6.04	93.96	21.1333	78.8667	44.18	224	0.875	bicubic
74	regnetx_320	5.9867	94.0133	19.88	80.12	107.81	224	0.875	bicubic
75	ese_vovnet39b	5.9733	94.0267	21.2933	78.7067	24.57	224	0.875	bicubic
76	gluon_resnet101_v1d	5.92	94.08	19.9467	80.0533	44.57	224	0.875	bicubic
77	gluon_seresnext50_32x4d	5.7867	94.2133	21.4267	78.5733	27.56	224	0.875	bicubic
78	efficientnet_b3_pruned	5.7333	94.2667	21.36	78.64	9.86	300	0.904	bicubic
79	regnety_160	5.64	94.36	19.3467	80.6533	83.59	224	0.875	bicubic
80	gluon_inception_v3	5.5067	94.4933	19.9467	80.0533	23.83	299	0.875	bicubic
81	mixnet_xl	5.48	94.52	21.0933	78.9067	11.9	224	0.875	bicubic
82	tresnet_m	5.44	94.56	19.96	80.04	31.39	224	0.875	bilinear
83	regnety_120	5.4133	94.5867	19.8533	80.1467	51.82	224	0.875	bicubic
84	gluon_resnet101_v1s	5.28	94.72	19.5467	80.4533	44.67	224	0.875	bicubic
85	hrnet_w64	5.1333	94.8667	19.4533	80.5467	128.06	224	0.875	bilinear
86	regnety_080	5.0	95.0	18.6	81.4	39.18	224	0.875	bicubic
87	efficientnet_b2_pruned	4.9467	95.0533	19.3467	80.6533	8.31	260	0.89	bicubic
88	dpn107	4.88	95.12	17.6133	82.3867	86.92	224	0.875	bicubic
89	gluon_resnet152_v1c	4.8667	95.1333	17.7733	82.2267	60.21	224	0.875	bicubic
90	adv_inception_v3	4.7467	95.2533	17.5467	82.4533	23.83	299	0.875	bicubic
91	dla102x2	4.7467	95.2533	18.96	81.04	41.75	224	0.875	bilinear
92	tf_inception_v3	4.7467	95.2533	17.7467	82.2533	23.83	299	0.875	bicubic
93	hrnet_w48	4.72	95.28	18.44	81.56	77.47	224	0.875	bilinear
94	dpn131	4.64	95.36	16.8667	83.1333	79.25	224	0.875	bicubic
95	gluon_resnet152_v1b	4.5867	95.4133	16.5333	83.4667	60.19	224	0.875	bicubic
96	ecaresnet50d_pruned	4.5467	95.4533	18.5467	81.4533	19.94	224	0.875	bicubic
97	dpn92	4.4933	95.5067	18.2	81.8	37.67	224	0.875	bicubic
98	hrnet_w44	4.4933	95.5067	17.3467	82.6533	67.06	224	0.875	bilinear
99	regnetx_160	4.3733	95.6267	17.0933	82.9067	54.28	224	0.875	bicubic
100	resnext50d_32x4d	4.3467	95.6533	17.7733	82.2267	25.05	224	0.875	bicubic
101	xception	4.3467	95.6533	16.76	83.24	22.86	299	0.8975	bicubic
102	seresnext50_32x4d	4.28	95.72	17.8133	82.1867	27.56	224	0.875	bilinear
103	resnext50_32x4d	4.2533	95.7467	18.3867	81.6133	25.03	224	0.875	bicubic
104	tf_efficientnet_cc_b1_8e	4.24	95.76	15.9467	84.0533	39.72	240	0.882	bicubic
105	regnety_064	4.2267	95.7733	17.1867	82.8133	30.58	224	0.875	bicubic
106	tf_efficientnet_el	4.2267	95.7733	18.1733	81.8267	10.59	300	0.904	bicubic
107	inception_v3	4.1867	95.8133	16.2933	83.7067	23.83	299	0.875	bicubic
108	tf_efficientnet_b2_ap	4.1733	95.8267	18.32	81.68	9.11	260	0.89	bicubic
109	seresnet152	4.1467	95.8533	15.8933	84.1067	66.82	224	0.875	bilinear
110	resnext101_32x8d	4.1333	95.8667	16.9867	83.0133	88.79	224	0.875	bilinear
111	tf_efficientnet_b0_ns	4.1333	95.8667	17.68	82.32	5.29	224	0.875	bicubic
112	dpn98	4.08	95.92	15.9467	84.0533	61.57	224	0.875	bicubic
113	res2net101_26w_4s	4.0	96.0	14.8267	85.1733	45.21	224	0.875	bilinear
114	efficientnet_b1	3.9733	96.0267	15.76	84.24	7.79	240	0.875	bicubic
115	tf_efficientnet_lite3	3.9333	96.0667	16.52	83.48	8.2	300	0.904	bilinear
116	tf_efficientnet_b2	3.7733	96.2267	16.6133	83.3867	9.11	260	0.89	bicubic
117	regnety_040	3.7467	96.2533	16.4	83.6	20.65	224	0.875	bicubic
118	hrnet_w30	3.68	96.32	15.5733	84.4267	37.71	224	0.875	bilinear
119	hrnet_w32	3.6533	96.3467	14.7867	85.2133	41.23	224	0.875	bilinear
120	hrnet_w40	3.6533	96.3467	15.44	84.56	57.56	224	0.875	bilinear
121	regnetx_120	3.6267	96.3733	15.9733	84.0267	46.11	224	0.875	bicubic
122	seresnext26t_32x4d	3.6133	96.3867	15.8933	84.1067	16.82	224	0.875	bicubic
123	tf_efficientnet_b1_ap	3.5467	96.4533	15.0667	84.9333	7.79	240	0.882	bicubic
124	seresnext26tn_32x4d	3.5067	96.4933	15.76	84.24	16.81	224	0.875	bicubic
125	resnest26d	3.4933	96.5067	15.6667	84.3333	17.07	224	0.875	bilinear
126	dla169	3.4667	96.5333	15.3333	84.6667	53.99	224	0.875	bilinear
127	gluon_resnext50_32x4d	3.4533	96.5467	16.12	83.88	25.03	224	0.875	bicubic
128	mixnet_l	3.44	96.56	15.3067	84.6933	7.33	224	0.875	bicubic
129	seresnext26d_32x4d	3.4	96.6	16.16	83.84	16.81	224	0.875	bicubic
130	res2net50_26w_8s	3.3333	96.6667	14.04	85.96	48.4	224	0.875	bilinear
131	resnetblur50	3.3333	96.6667	15.5867	84.4133	25.56	224	0.875	bicubic
132	dla102x	3.3067	96.6933	15.12	84.88	26.77	224	0.875	bilinear
133	gluon_resnet101_v1c	3.3067	96.6933	14.12	85.88	44.57	224	0.875	bicubic
134	seresnet101	3.2533	96.7467	15.4533	84.5467	49.33	224	0.875	bilinear
135	densenetblur121d	3.0667	96.9333	14.28	85.72	8.0	224	0.875	bicubic
136	dla60_res2next	3.04	96.96	14.4533	85.5467	17.33	224	0.875	bilinear
137	regnety_032	3.0267	96.9733	14.24	85.76	19.44	224	0.875	bicubic
138	gluon_resnet50_v1d	3.0133	96.9867	14.6267	85.3733	25.58	224	0.875	bicubic
139	wide_resnet101_2	2.96	97.04	13.9467	86.0533	126.89	224	0.875	bilinear
140	efficientnet_b1_pruned	2.9333	97.0667	14.4133	85.5867	6.33	240	0.882	bicubic
141	gluon_resnet50_v1s	2.92	97.08	13.12	86.88	25.68	224	0.875	bicubic
142	tf_efficientnet_b1	2.8667	97.1333	13.5067	86.4933	7.79	240	0.882	bicubic
143	res2net50_26w_6s	2.84	97.16	12.6	87.4	37.05	224	0.875	bilinear
144	efficientnet_b0	2.8133	97.1867	13.9067	86.0933	5.29	224	0.875	bicubic
145	tf_mixnet_l	2.8133	97.1867	13.04	86.96	7.33	224	0.875	bicubic
146	regnetx_064	2.7867	97.2133	13.88	86.12	26.21	224	0.875	bicubic
147	dpn68b	2.7067	97.2933	12.64	87.36	12.61	224	0.875	bicubic
148	selecsls60b	2.6933	97.3067	13.1733	86.8267	32.77	224	0.875	bicubic
149	tf_efficientnet_cc_b0_8e	2.68	97.32	12.7733	87.2267	24.01	224	0.875	bicubic
150	dla60_res2net	2.64	97.36	14.2	85.8	21.15	224	0.875	bilinear
151	gluon_resnet101_v1b	2.6267	97.3733	13.5733	86.4267	44.55	224	0.875	bicubic
152	dla60x	2.6133	97.3867	13.3333	86.6667	17.65	224	0.875	bilinear
153	mixnet_m	2.5467	97.4533	12.4267	87.5733	5.01	224	0.875	bicubic
154	skresnet34	2.52	97.48	12.7733	87.2267	22.28	224	0.875	bicubic
155	efficientnet_es	2.3733	97.6267	13.88	86.12	5.44	224	0.875	bicubic
156	resnet152	2.36	97.64	12.2	87.8	60.19	224	0.875	bilinear
157	regnetx_080	2.3467	97.6533	12.6933	87.3067	39.57	224	0.875	bicubic
158	swsl_resnet18	2.3333	97.6667	11.2133	88.7867	11.69	224	0.875	bilinear
159	wide_resnet50_2	2.32	97.68	11.8	88.2	68.88	224	0.875	bilinear
160	seresnext26_32x4d	2.2933	97.7067	12.44	87.56	16.79	224	0.875	bicubic
161	hrnet_w18	2.2667	97.7333	11.8533	88.1467	21.3	224	0.875	bilinear
162	dla102	2.2533	97.7467	12.12	87.88	33.73	224	0.875	bilinear
163	resnet50	2.2267	97.7733	11.3333	88.6667	25.56	224	0.875	bicubic
164	regnety_016	2.1733	97.8267	11.44	88.56	11.2	224	0.875	bicubic
165	regnetx_040	2.16	97.84	11.8	88.2	22.12	224	0.875	bicubic
166	resnest14d	2.1467	97.8533	10.4	89.6	10.61	224	0.875	bilinear
167	selecsls60	2.08	97.92	12.84	87.16	30.67	224	0.875	bicubic
168	tf_efficientnet_cc_b0_4e	2.08	97.92	10.9733	89.0267	13.31	224	0.875	bicubic
169	res2next50	2.0667	97.9333	11.4533	88.5467	24.67	224	0.875	bilinear
170	seresnet50	2.0667	97.9333	12.2667	87.7333	28.09	224	0.875	bilinear
171	densenet161	1.9733	98.0267	10.5867	89.4133	28.68	224	0.875	bicubic
172	tf_efficientnet_b0_ap	1.96	98.04	10.8	89.2	5.29	224	0.875	bicubic
173	regnetx_032	1.92	98.08	10.9467	89.0533	15.3	224	0.875	bicubic
174	tf_efficientnet_em	1.8133	98.1867	11.6267	88.3733	6.9	240	0.882	bicubic
175	tf_mixnet_m	1.8133	98.1867	10.5467	89.4533	5.01	224	0.875	bicubic
176	tf_efficientnet_lite2	1.8	98.2	11.1467	88.8533	6.09	260	0.89	bicubic
177	res2net50_14w_8s	1.7867	98.2133	10.3467	89.6533	25.06	224	0.875	bilinear
178	res2net50_26w_4s	1.7733	98.2267	10.44	89.56	25.7	224	0.875	bilinear
179	mobilenetv3_large_100	1.76	98.24	10.2933	89.7067	5.48	224	0.875	bicubic
180	densenet121	1.7333	98.2667	10.8533	89.1467	7.98	224	0.875	bicubic
181	tf_efficientnet_b0	1.6933	98.3067	9.7333	90.2667	5.29	224	0.875	bicubic
182	tv_resnext50_32x4d	1.68	98.32	10.6	89.4	25.03	224	0.875	bilinear
183	mobilenetv3_rw	1.6667	98.3333	10.7333	89.2667	5.48	224	0.875	bicubic
184	resnet101	1.6667	98.3333	9.8133	90.1867	44.55	224	0.875	bilinear
185	mobilenetv2_120d	1.64	98.36	10.4533	89.5467	5.83	224	0.875	bicubic
186	mixnet_s	1.5867	98.4133	10.2533	89.7467	4.13	224	0.875	bicubic
187	densenet201	1.5467	98.4533	9.6267	90.3733	20.01	224	0.875	bicubic
188	gluon_resnet50_v1c	1.5467	98.4533	10.6133	89.3867	25.58	224	0.875	bicubic
189	semnasnet_100	1.5467	98.4533	9.32	90.68	3.89	224	0.875	bicubic
190	selecsls42b	1.4667	98.5333	10.44	89.56	32.46	224	0.875	bicubic
191	tf_efficientnet_lite1	1.4533	98.5467	9.7067	90.2933	5.42	240	0.882	bicubic
192	regnety_008	1.4267	98.5733	8.9467	91.0533	6.26	224	0.875	bicubic
193	ssl_resnet18	1.3867	98.6133	8.16	91.84	11.69	224	0.875	bilinear
194	dla60	1.3467	98.6533	9.4667	90.5333	22.33	224	0.875	bilinear
195	dpn68	1.3467	98.6533	8.8133	91.1867	12.61	224	0.875	bicubic
196	res2net50_48w_2s	1.3067	98.6933	8.92	91.08	25.29	224	0.875	bilinear
197	tf_mixnet_s	1.28	98.72	8.7467	91.2533	4.13	224	0.875	bicubic
198	mobilenetv2_140	1.2533	98.7467	9.1067	90.8933	6.11	224	0.875	bicubic
199	fbnetc_100	1.2267	98.7733	8.7467	91.2533	5.57	224	0.875	bilinear
200	resnet26d	1.2267	98.7733	9.28	90.72	16.01	224	0.875	bicubic
201	densenet169	1.1867	98.8133	8.32	91.68	14.15	224	0.875	bicubic
202	tf_mobilenetv3_large_100	1.1867	98.8133	7.9467	92.0533	5.48	224	0.875	bilinear
203	gluon_resnet50_v1b	1.16	98.84	9.0267	90.9733	25.56	224	0.875	bicubic
204	seresnet34	1.12	98.88	7.4	92.6	21.96	224	0.875	bilinear
205	tf_efficientnet_es	1.12	98.88	8.6	91.4	5.44	224	0.875	bicubic
206	spnasnet_100	1.1067	98.8933	8.2533	91.7467	4.42	224	0.875	bilinear
207	tf_efficientnet_lite0	1.1067	98.8933	7.4933	92.5067	4.65	224	0.875	bicubic
208	regnetx_016	1.0933	98.9067	8.6267	91.3733	9.19	224	0.875	bicubic
209	dla34	1.08	98.92	7.6933	92.3067	15.78	224	0.875	bilinear
210	regnety_006	1.0533	98.9467	8.4	91.6	6.06	224	0.875	bicubic
211	regnety_004	1.0133	98.9867	7.3333	92.6667	4.34	224	0.875	bicubic
212	resnet34	0.9867	99.0133	7.5333	92.4667	21.8	224	0.875	bilinear
213	mobilenetv2_110d	0.9333	99.0667	8.1067	91.8933	4.52	224	0.875	bicubic
214	gluon_resnet34_v1b	0.8933	99.1067	6.6	93.4	21.8	224	0.875	bicubic
215	hrnet_w18_small_v2	0.8933	99.1067	7.3867	92.6133	15.6	224	0.875	bilinear
216	regnetx_008	0.8933	99.1067	6.9067	93.0933	7.26	224	0.875	bicubic
217	skresnet18	0.88	99.12	7.3867	92.6133	11.96	224	0.875	bicubic
218	mnasnet_100	0.8667	99.1333	7.8667	92.1333	4.38	224	0.875	bicubic
219	tf_mobilenetv3_large_075	0.8667	99.1333	6.72	93.28	3.99	224	0.875	bilinear
220	regnetx_006	0.76	99.24	6.4933	93.5067	6.2	224	0.875	bicubic
221	tf_mobilenetv3_small_100	0.7467	99.2533	4.6667	95.3333	2.54	224	0.875	bilinear
222	seresnet18	0.72	99.28	6.0267	93.9733	11.78	224	0.875	bicubic
223	regnetx_004	0.6933	99.3067	5.5067	94.4933	5.16	224	0.875	bicubic
224	tv_densenet121	0.68	99.32	6.9067	93.0933	7.98	224	0.875	bicubic
225	regnety_002	0.6667	99.3333	5.5333	94.4667	3.16	224	0.875	bicubic
226	tf_mobilenetv3_small_075	0.6267	99.3733	4.1733	95.8267	2.04	224	0.875	bilinear
227	resnet26	0.6	99.4	6.88	93.12	16.0	224	0.875	bicubic
228	tv_resnet34	0.6	99.4	5.52	94.48	21.8	224	0.875	bilinear
229	mobilenetv2_100	0.5333	99.4667	6.1867	93.8133	3.5	224	0.875	bicubic
230	dla46_c	0.52	99.48	4.1867	95.8133	1.31	224	0.875	bilinear
231	tf_mobilenetv3_large_minimal_100	0.48	99.52	4.88	95.12	3.92	224	0.875	bilinear
232	dla60x_c	0.4667	99.5333	5.2133	94.7867	1.34	224	0.875	bilinear
233	hrnet_w18_small	0.4533	99.5467	4.84	95.16	13.19	224	0.875	bilinear
234	dla46x_c	0.4133	99.5867	4.44	95.56	1.08	224	0.875	bilinear
235	gluon_resnet18_v1b	0.3867	99.6133	4.7867	95.2133	11.69	224	0.875	bicubic
236	tf_mobilenetv3_small_minimal_100	0.36	99.64	2.8667	97.1333	2.04	224	0.875	bilinear
237	resnet18	0.2933	99.7067	4.04	95.96	11.69	224	0.875	bilinear
238	regnetx_002	0.2267	99.7733	3.9867	96.0133	2.68	224	0.875	bicubic
239	tv_resnet50	0.0	100.0	2.8933	97.1067	25.56	224	0.875	bilinear