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Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("tong.Coggan2024_fMRI.V1-rdm")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	alexnet_training_seed_01	.752
2	alexnet_training_seed_10	.733
3	alexnet_training_seed_07	.708
4	alexnet_training_seed_06	.689
5	alexnet_training_seed_09	.683
6	alexnet_training_seed_02	.647
7	alexnet_training_seed_05	.621
8	alexnet_training_seed_04	.621
9	alexnet_training_seed_03	.592
10	alexnet_training_seed_08	.444
11	convnext_small_imagenet_10_seed-0	.383
12	hmax	.307
13	vit_base_patch16_clip_224:openai_ft_in1k	.284
14	vit_relpos_base_patch16_clsgap_224:sw_in1k	.277
15	convnext_base_imagenet_full_seed-0	.277
16	yudixie_resnet18_random_0_240719	.258
17	deit_small_imagenet_10_seed-0	.256
18	vit_large_patch14_clip_336:laion2b_ft_in1k	.254
19	resnet_50_v2	.238
20	resnet-50-robust	.230
21	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.224
22	resnet_152_v2	.221
23	convnext_small_imagenet_1_seed-0	.219
24	deit_small_imagenet_1_seed-0	.204
25	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.197
26	deit_small_imagenet_full_seed-0	.187
27	efficientnet_b2_imagenet_full	.185
28	compact_resnet50_robust_V4	.184
29	resnet50_primary_visual_cortex	.183
30	resnet50_eMMCR_Vanilla	.178
31	vit_large_patch14_clip_224:openai_ft_in1k	.176
32	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.170
33	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.169
34	convnext_femto_ols:d1_in1k	.166
35	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.157
36	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.150
37	convnext_tiny_imagenet_full_seed-0	.147
38	densenet-121	.146
39	yolos_tiny	.139
40	resnet_101_v2	.139
41	resnet50-SIN_IN	.137
42	resnet50-VITO-8deg-cc	.136
43	resnet50-vitoimagevidnet8	.136
44	ViT_L_32_imagenet1k	.129
45	deit_small_imagenet_100_seed-0	.127
46	convnext_small_imagenet_full_seed-0	.126
47	inception_v1	.124
48	resnet50_ewconplus_wzc	.123
49	deit_large_imagenet_full_seed-0	.123
50	deit_base_imagenet_full_seed-0	.121
51	shufflenet_v2_x1_0	.114
52	r3d_18	.114
53	resnext101_32x32d_wsl	.112
54	vonegrcnn_62e_nobn	.107
55	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.104
56	antialiased-rnext101_32x8d	.103
57	Res2Net50_26w_4s	.101
58	convnext_large:fb_in22k_ft_in1k	.099
59	convnext_small_imagenet_100_seed-0	.096
60	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.093
61	resnet34_imagenet_full	.086
62	omnivore_swinS	.086
63	vit_large_patch14_clip_224:laion2b_ft_in1k	.086
64	resnet18_ecoset_full	.085
65	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.082
66	compact_resnet50_robust_IT	.082
67	resnet34_ecoset_full	.080
68	resnet-152_v2_pytorch	.080
69	resnet50-moclr8deg	.077
70	yudixie_resnet50_rotation_reg_0_240908	.077
71	BiT-S-R101x1	.075
72	resnet50-vicregl0p9	.074
73	custom_model_cv_18_dagger_408	.073
74	SeLaVi-Kinetics400	.073
75	resnext101_32x16d_wsl	.071
76	resnet-18_test_m	.068
77	efficientnet_b0	.067
78	s3d	.066
79	mobilenet_v2_1_0_224	.066
80	resnet_152_v1	.063
81	ReAlnet10	.063
82	ReAlnet10_cornet	.063
83	ReAlnet07_ALL	.060
84	ReAlnet08	.060
85	ReAlnet08_cornet	.060
86	ReAlnet05	.059
87	ReAlnet05_cornet	.059
88	ReAlnet03_ALL	.059
89	ReAlnet10_ALL	.059
90	grcnn_109	.059
91	ReAlnet05_ALL	.058
92	ReAlnet04_ALL	.058
93	ReAlnet02_ALL	.058
94	cvt_cvt-21-224-in1k_4_LucyV4	.058
95	ReAlnet06_ALL	.058
96	ReAlnet08_ALL	.058
97	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.057
98	ReAlnet09_ALL	.057
99	ReAlnet01_ALL	.057
100	ReAlnet07	.056
101	ReAlnet07_cornet	.056
102	ReAlnet03	.056
103	ReAlnet03_cornet	.056
104	ReAlnet04	.056
105	ReAlnet04_cornet	.056
106	ReAlnet01_cornet	.056
107	ReAlnet01	.056
108	BiT-S-R152x4	.056
109	convnext_large_imagenet_full_seed-0	.055
110	ReAlnet06	.055
111	ReAlnet06_cornet	.055
112	r2plus1d_18	.054
113	resnet50_imagenet_1_seed-0	.054
114	AdvProp_efficientnet-b2	.054
115	AT_efficientnet-b2	.054
116	nasnet_large	.053
117	ReAlnet09	.053
118	ReAlnet09_cornet	.053
119	ReAlnet02_cornet	.053
120	ReAlnet02	.053
121	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.050
122	resnet18_imagenet_full	.049
123	convnext_tiny:in12k_ft_in1k	.049
124	resnet50_imagenet_full	.047
125	cv_18_dagger_408_pretrained	.044
126	grcnn	.044
127	inception_v3	.043
128	compact_cornets_IT	.043
129	compact_resnet50_IT	.041
130	mobilenet_v2_0_5_192	.039
131	resnet101_ecoset_full	.039
132	BiT-S-R101x3	.036
133	resnet50_ecoset_full	.035
134	resnet152_ecoset_full	.035
135	efficientnet-b7	.035
136	resnet_SIN_IN_FT_IN	.035
137	inception_v4	.035
138	resnet50-barlow	.035
139	nasnet_mobile	.034
140	regnet_y_400mf	.033
141	imagenet_l2_3_0	.033
142	resnext101_32x48d_wsl	.033
143	resnet152_imagenet_full	.033
144	resnet50-vicregl0p75	.031
145	resnet18_imagenet21kP	.031
146	cvt_cvt-13-224-in1k_4_LucyV4	.030
147	resnet50_robust_l2_eps3	.029
148	convnext_base:clip_laiona_augreg_ft_in1k_384	.027
149	densenet-201	.027
150	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.026
151	effnetb1_272x240	.026
152	resnet_101_v1	.025
153	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.025
154	densenet-169	.025
155	compact_vgg19_IT	.023
156	resnet50-vicreg	.022
157	AdvProp_efficientnet-b6	.022
158	cvt_cvt-13-384-in1k_4_LucyV4	.020
159	cvt_cvt-21-384-in1k_4_LucyV4	.019
160	yudixie_resnet18_distance_translation_0_240719	.018
161	alexnet_ks_torevert	.018
162	resnext101_32x8d_wsl	.018
163	resnet101_imagenet_full	.017
164	compact_cornets_V4	.017
165	yudixie_resnet50_random_0_240908	.017
166	compact_vgg19_V4	.016
167	artResNet18_1	.016
168	resnet50_robust_l2_eps1	.015
169	AdvProp_efficientnet-b4	.014
170	omnivore_swinB	.014
171	convnext_tiny_sup	.013
172	voneresnet-50-robust	.013
173	resnet_50_v1_spiking_l4	.013
174	yudixie_resnet50_imagenet1kpret_0_240908	.013
175	resnet_50_v1_spiking	.013
176	resnet50_tutorial	.013
177	resnet_50_v1_spiking_l4a	.013
178	resnet_50_v1_spiking_l3	.013
179	resnet_50_v1	.013
180	resnet50-sup	.013
181	yudixie_resnet50_imagenet1kpret_0_240312	.013
182	tv_efficientnet-b1	.012
183	mobilenet_v2_1_4_224	.011
184	mobilenet_v2_1-4_224_pytorch	.011
185	yudixie_resnet18_category_class_0_240719	.011
186	AlexNet_SIN	.011
187	BiT-S-R50x1	.011
188	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.009
189	antialiased-r50	.009
190	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.009
191	resnet50-SIN_IN_IN	.008
192	mobilenet_v2_1_3_224	.008
193	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.008
194	mobilenet_v2_0_75_224	.007
195	yudixie_resnet18_translation_rotation_0_240719	.007
196	mobilenet_v2_1_0_192	.007
197	convnext_xlarge:fb_in22k_ft_in1k	.007
198	xception	.006
199	BiT-S-R50x3	.006
200	resnet50_imagenet_100_seed-0	.006
201	vonegrcnn_52e_full	.005
202	vonegrcnn_47e	.005
203	antialias-resnet152	.005
204	mc3_18	.005
205	yudixie_resnet18_imagenet1kpret_0_240719	.004
206	yudixie_resnet50_translation_reg_0_240908	.004
207	mobilenet_v2_1_0_160	.004
208	pnasnet_large	.004
209	compact_resnet50_V4	.004
210	yudixie_resnet50_object_class_0_240908	.004
211	yudixie_resnet18_translation_reg_0_240719	.004
212	resnet50_imagenet_10_seed-0	.003
213	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.003
214	resnet50-SIN	.002
215	mobilenet_v2_0_5_224	.002
216	voneresnet-50-non_stochastic	.002
217	yudixie_resnet18_rotation_reg_0_240719	.001
218	yudixie_resnet18_distance_rotation_0_240719	.001
219	yudixie_resnet18_distance_reg_0_240719	.001
220	yudixie_resnet50_distance_reg_0_240908	.001
221	yudixie_resnet50_distance_translation_rotation_0_240908	.001
222	voneresnet-50	.001
223	yudixie_resnet50_category_class_0_240908	.001
224	VOneCORnet-S	.001
225	AdvProp_efficientnet-b8	.001
226	blt_vs	.001
227	yudixie_resnet50_distance_translation_0_240908	.000
228	vgg_16	.000
229	yudixie_resnet50_translation_rotation_0_240908	.000
230	AdvProp_efficientnet-b7	.000
231	yudixie_resnet18_distance_translation_rotation_0_240719	.000
232	yudixie_resnet50_distance_rotation_0_240908	.000
233	briaai_rmbg_1_4	.000
234	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.000
235	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.000
236	efficientnet_b1_imagenet_full	.000
237	mobilenet_v2_0_75_160	.000
238	BiT-S-R152x2	.001
239	vgg_19	.002
240	focalnet_tiny_lrf_in1k	.002
241	yudixie_resnet18_object_class_0_240719	.003
242	mobilenet_v2_0_75_192	.004
243	mobilenet_v2_1_0_128
244	pnasnet_large_pytorch
245	efficientnet_b0_imagenet_full
246	SeLaVi-AVE
247	fixres_resnext101_32x48d_wsl
248	mvit_v1_b
249	SeLaVi-VGG-Sound
250	mvit_v2_s
251	SeLaVi-Kinetics-Sound

Benchmark bibtex

@inproceedings{santurkar2019computer,
    title={Computer Vision with a Single (Robust) Classifier},
    author={Shibani Santurkar and Dimitris Tsipras and Brandon Tran and Andrew Ilyas and Logan Engstrom and Aleksander Madry},
    booktitle={ArXiv preprint arXiv:1906.09453},
    year={2019}
}

Ceiling

Not available

Data: tong.Coggan2024_fMRI.V1

Metric: rdm