Leaderboard Explore Compare Profile Community Blog FAQ Competition 2024 Report Issue

Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("Zerbe2026_fmri.IT-ood-ridgecv")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	resnext101_32x48d_wsl	.267
2	resnext101_32x32d_wsl	.263
3	resnext101_32x16d_wsl	.254
4	vit_relpos_base_patch16_clsgap_224:sw_in1k	.251
5	convnext_tiny:in12k_ft_in1k	.243
6	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.243
7	dinov2_vitg14_reg_lc	.241
8	deit_small_imagenet_full_seed-0	.244
9	resnet50-moclr8deg	.239
10	deit_large_imagenet_full_seed-0	.242
11	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.235
12	densenet-121	.235
13	pnasnet_large_halfPrecision	.235
14	deit_base_imagenet_full_seed-0	.238
15	ReAlnet01_cornet	.232
16	dinov2_vitl14_lc	.231
17	convnext_large:fb_in22k_ft_in1k	.231
18	ReAlnet04_cornet	.230
19	convnext_tiny_sup	.230
20	focalnet_tiny_lrf_in1k	.230
21	convnext_base_imagenet_full_seed-0	.230
22	ReAlnet03_cornet	.229
23	resnet_50_v2	.229
24	convnext_large_imagenet_full_seed-0	.228
25	convnext_base:clip_laiona_augreg_ft_in1k_384	.228
26	Res2Net50_26w_4s	.228
27	resnet50-SIN_IN_IN	.227
28	dinov2_vitl14_lc_res336	.227
29	vit_large_patch14_clip_336:laion2b_ft_in1k	.225
30	VOneCORnet-S	.224
31	resnet50-SIN_IN	.223
32	resnet152_imagenet_full	.222
33	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.223
34	resnet_50_v1_spiking	.222
35	resnet_50_v1	.222
36	resnet50-sup	.222
37	antialiased-r50	.222
38	resnet50_ewconplus_wzc	.222
39	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.221
40	voneresnet-50	.221
41	eva02_large_in22k	.222
42	resnet50_tutorial	.221
43	vit_base_patch16_clip_224:openai_ft_in1k	.220
44	vit_large_patch14_clip_224:openai_ft_in1k	.220
45	resnet_SIN_IN_FT_IN	.217
46	dinov2_vitl14_reg_lc_featread	.216
47	dinov2_vitl14_reg_lc	.216
48	convnext_femto_ols:d1_in1k	.215
49	convnext_small_imagenet_full_seed-0	.215
50	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.214
51	voneresnet-50-non_stochastic	.213
52	custom_model_cv_18_dagger_408	.213
53	shufflenet_v2_x1_0	.212
54	convnext_tiny_imagenet_full_seed-0	.212
55	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.211
56	resnet50-vitoimagevidnet8	.211
57	resnet50-VITO-8deg-cc	.211
58	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.210
59	resnet50_robust_l2_eps1	.210
60	resnext101_32x8d_wsl	.210
61	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.209
62	effnetb1_272x240	.208
63	resnet50_imagenet_full	.208
64	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.208
65	convnext_xxlarge_clip	.207
66	vit_huge_clip336_laion	.205
67	efficientnet_b2_imagenet_full	.204
68	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.203
69	mobilenet_v2_1_4_224	.203
70	efficientnet_b0	.202
71	vit_large_patch14_clip_224:laion2b_ft_in1k	.200
72	cvt_cvt-13-224-in1k_4_LucyV4	.199
73	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.193
74	cvt_cvt-21-224-in1k_4_LucyV4	.191
75	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.190
76	AT_efficientnet-b2	.189
77	AdvProp_efficientnet-b2	.189
78	convnext_xlarge:fb_in22k_ft_in1k	.188
79	cvt_cvt-21-384-in1k_4_LucyV4	.188
80	dinov2_vitg14_lc	.187
81	alexnet	.184
82	AdvProp_efficientnet-b7	.182
83	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.183
84	resnet50-SIN	.182
85	ReAlnet01_cornet_fov4	.181
86	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.180
87	AdvProp_efficientnet-b8	.177
88	cvt_cvt-13-384-in1k_4_LucyV4	.177
89	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.175
90	AdvProp_efficientnet-b4	.174
91	AdvProp_efficientnet-b6	.173
92	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.171
93	resnet-50-robust	.169
94	vit_large_clip336_openai	.171
95	ViT_L_32_imagenet1k	.167
96	grcnn	.166
97	AlexNet_SIN	.119
98	AlexNet_SIN_fov12	.098
99	hmax	.074
100	AlexNet_SIN_fov16	.072
101	alexnet_training_seed_06	.021
102	alexnet_training_seed_01	.020
103	alexnet_training_seed_10	.019
104	alexnet_training_seed_02	.018
105	alexnet_training_seed_09	.016
106	compact_resnet50_robust_V4	.015
107	alexnet_training_seed_07	.014
108	alexnet_training_seed_03	.011

Benchmark bibtex

None

Ceiling

0.76.

Note that scores are relative to this ceiling.

Data: Zerbe2026_fmri.IT-ood

Metric: ridgecv