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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	gabor_filter_entropy_4x4_v2	.989
2	gabor_filter_entropy_4x4	.985
3	gabor_filter_entropy_4x4_v2_forcedCosine	.940
4	alexnet_training_seed_01	.752
5	alexnet_training_seed_10	.733
6	alexnet_training_seed_07	.708
7	alexnet_training_seed_06	.689
8	alexnet_training_seed_09	.683
9	alexnet_training_seed_02	.647
10	alexnet_training_seed_05	.621
11	alexnet_training_seed_04	.621
12	alexnet_training_seed_03	.592
13	AlexNet_SIN_fov16	.547
14	alexnet_training_seed_01_fov16	.453
15	alexnet_training_seed_08	.444
16	convnext_small_imagenet_10_seed-0	.383
17	mehrer2020_alexnet_training_seed_01_fov16	.365
18	gabor_filter_mean_abs_4x4_v2	.321
19	hmax	.307
20	vit_base_patch16_clip_224:openai_ft_in1k	.284
21	vit_relpos_base_patch16_clsgap_224:sw_in1k	.277
22	convnext_base_imagenet_full_seed-0	.277
23	convnext_base_fb_in1k_gram_aligned_dinov3	.265
24	alexnet_training_seed_01_fov4	.264
25	resnet50_supervised_linhead	.258
26	yudixie_resnet18_random_0_240719	.258
27	pr1_stl10_disentangled_alpha04	.257
28	deit_small_imagenet_10_seed-0	.256
29	vit_large_patch14_clip_336:laion2b_ft_in1k	.254
30	resnet_50_v2	.238
31	resnet-50-robust	.230
32	mehrer2020_alexnet_training_seed_10	.225
33	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.224
34	resnet_152_v2	.221
35	convnext_small_imagenet_1_seed-0	.219
36	convnext_base_fb_in1k	.215
37	mehrer2020_alexnet_training_seed_06	.208
38	alexnet_fov16	.207
39	deit_small_imagenet_1_seed-0	.204
40	mehrer2020_alexnet_training_seed_01	.199
41	predictive_coding_pc	.199
42	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.197
43	mehrer2020_alexnet_training_seed_01_fov12	.190
44	deit_small_imagenet_full_seed-0	.187
45	mehrer2020_alexnet_training_seed_08	.187
46	efficientnet_b2_imagenet_full	.185
47	compact_resnet50_robust_V4	.184
48	resnet50_primary_visual_cortex	.183
49	resnet50_eMMCR_Vanilla	.178
50	vit_large_patch14_clip_224:openai_ft_in1k	.176
51	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.170
52	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.169
53	mehrer2020_alexnet_training_seed_03	.169
54	convnext_femto_ols:d1_in1k	.166
55	alexnet_training_seed_01_fov12	.164
56	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.157
57	mehrer2020_alexnet_training_seed_02	.152
58	mehrer2020_alexnet_training_seed_04	.151
59	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.150
60	convnext_tiny_imagenet_full_seed-0	.147
61	mehrer2020_alexnet_training_seed_09	.147
62	densenet-121	.146
63	vit_huge_clip336_laion	.140
64	yolos_tiny	.139
65	resnet_101_v2	.139
66	resnet50-SIN_IN	.137
67	resnet50-vitoimagevidnet8	.136
68	resnet50-VITO-8deg-cc	.136
69	resnet50_st_wzc_seed6_2_323	.130
70	ViT_L_32_imagenet1k	.129
71	deit_small_imagenet_100_seed-0	.127
72	convnext_small_imagenet_full_seed-0	.126
73	resnet50_ewconplus_wzc_seed2_2__323	.124
74	inception_v1	.124
75	resnet50_ewconplus_wzc	.123
76	deit_large_imagenet_full_seed-0	.123
77	deit_base_imagenet_full_seed-0	.121
78	vit_base_patch16_dinov3-lvd1689m	.116
79	shufflenet_v2_x1_0	.114
80	r3d_18	.114
81	mehrer2020_alexnet_training_seed_05	.112
82	resnext101_32x32d_wsl	.112
83	resnet50_ewconplus_wzc_seed5_2__323	.110
84	resnet50_st_wzc_seed3_2_323	.110
85	yudixie_wbh_object_class_scaling_0415_run_3	.107
86	dinov2_vitg14_lc	.107
87	vonegrcnn_62e_nobn	.107
88	mehrer2020_alexnet_training_seed_07	.104
89	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.104
90	antialiased-rnext101_32x8d	.103
91	Res2Net50_26w_4s	.101
92	resnet50_cpc_linhead	.099
93	convnext_large:fb_in22k_ft_in1k	.099
94	seresnext50_32x4d	.097
95	convnext_small_imagenet_100_seed-0	.096
96	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.093
97	resnet34_imagenet_full	.086
98	omnivore_swinS	.086
99	vit_large_patch14_clip_224:laion2b_ft_in1k	.086
100	resnet18_ecoset_full	.085
101	resnet50_hvs_wzc	.083
102	AlexNet_SIN_fov4	.083
103	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.082
104	compact_resnet50_robust_IT	.082
105	resnet34_ecoset_full	.080
106	resnet-152_v2_pytorch	.080
107	vit_large_clip336_openai	.079
108	resnet50-moclr8deg	.077
109	yudixie_resnet50_rotation_reg_0_240908	.077
110	BiT-S-R101x1	.075
111	resnet50_ewconplus_wzc_seed6_2_323	.075
112	resnet50-vicregl0p9	.074
113	resnet50_vicreg_linhead	.073
114	regnety_032	.073
115	custom_model_cv_18_dagger_408	.073
116	SeLaVi-Kinetics400	.073
117	resnet50_st_wzc_seed7_2_323	.072
118	resnext101_32x16d_wsl	.071
119	resnet-18_test_m	.068
120	resnet50_st_wzc_2	.068
121	efficientnet_b0	.067
122	s3d	.066
123	mobilenet_v2_1_0_224	.066
124	resnet_152_v1	.063
125	ReAlnet10_cornet	.063
126	ReAlnet10	.063
127	mehrer2020_alexnet_training_seed_01_fov4	.061
128	ReAlnet07_ALL	.060
129	ReAlnet08_cornet	.060
130	ReAlnet08	.060
131	alexnet_fov12	.060
132	ReAlnet05_cornet	.059
133	ReAlnet05	.059
134	ReAlnet03_ALL	.059
135	ReAlnet10_ALL	.059
136	grcnn_109	.059
137	ReAlnet05_ALL	.058
138	ReAlnet04_ALL	.058
139	ReAlnet02_ALL	.058
140	cvt_cvt-21-224-in1k_4_LucyV4	.058
141	ReAlnet06_ALL	.058
142	ReAlnet08_ALL	.058
143	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.057
144	ReAlnet09_ALL	.057
145	ReAlnet01_ALL	.057
146	ReAlnet07_cornet	.056
147	ReAlnet07	.056
148	ReAlnet03_cornet	.056
149	ReAlnet03	.056
150	ReAlnet04_cornet	.056
151	ReAlnet04	.056
152	ReAlnet01_cornet	.056
153	ReAlnet01	.056
154	BiT-S-R152x4	.056
155	convnext_large_imagenet_full_seed-0	.055
156	ReAlnet06_cornet	.055
157	ReAlnet06	.055
158	dinov2_vitl14_lc	.055
159	r2plus1d_18	.054
160	resnet50_imagenet_1_seed-0	.054
161	AT_efficientnet-b2	.054
162	AdvProp_efficientnet-b2	.054
163	nasnet_large	.053
164	ReAlnet09_cornet	.053
165	ReAlnet09	.053
166	ReAlnet02_cornet	.053
167	ReAlnet02	.053
168	resnet50_untrained_linhead	.051
169	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.050
170	vith14_untrained_linhead	.050
171	resnet18_imagenet_full	.049
172	ijepa_vith14_linhead	.049
173	AlexNet_SIN_fov12	.049
174	convnext_tiny:in12k_ft_in1k	.049
175	resnet50_imagenet_full	.047
176	cv_18_dagger_408_pretrained	.044
177	grcnn	.044
178	ReAlnet01_cornet_fov4	.044
179	alexnet_fov4	.043
180	inception_v3	.043
181	compact_cornets_IT	.043
182	compact_resnet50_IT	.041
183	resnet50_byol_linhead	.040
184	eva02_large_in22k	.039
185	mobilenet_v2_0_5_192	.039
186	resnet101_ecoset_full	.039
187	deit3_base_patch16_224_fb_in1k	.037
188	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.037
189	BiT-S-R101x3	.036
190	resnet50_ecoset_full	.035
191	resnet152_ecoset_full	.035
192	efficientnet-b7	.035
193	eicircuit_resnet18_bn_20260919	.035
194	resnet_SIN_IN_FT_IN	.035
195	inception_v4	.035
196	resnet50-barlow	.035
197	nasnet_mobile	.034
198	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	.034
199	deit3_base_patch16_224_fb_in22k_ft_in1k	.034
200	dinov2_vitl14_lc_res336	.034
201	yudixie_wbh_object_class_scaling_0415_run_2	.034
202	regnet_y_400mf	.033
203	imagenet_l2_3_0	.033
204	resnet50_barlowtwins_linhead	.033
205	resnext101_32x48d_wsl	.033
206	resnet152_imagenet_full	.033
207	yudixie_wbh_object_class_scaling_0415_run_1	.032
208	resnet50-vicregl0p75	.031
209	resnet18_imagenet21kP	.031
210	cvt_cvt-13-224-in1k_4_LucyV4	.030
211	vit_base_patch14_dinov2-lvd142m	.030
212	resnet50_robust_l2_eps3	.029
213	convnext_base:clip_laiona_augreg_ft_in1k_384	.027
214	densenet-201	.027
215	yudixie_wbh_object_class_scaling_0415_run_0	.026
216	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.026
217	effnetb1_272x240	.026
218	resnet_101_v1	.025
219	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.025
220	densenet-169	.025
221	compact_vgg19_IT	.023
222	resnet50-vicreg	.022
223	AdvProp_efficientnet-b6	.022
224	convnext_large_in22k_supervised	.022
225	vith14_supervised_linhead	.021
226	cvt_cvt-13-384-in1k_4_LucyV4	.020
227	vit_base_patch14_reg4_dinov2-lvd142m	.019
228	convnext_xxlarge_clip	.019
229	cvt_cvt-21-384-in1k_4_LucyV4	.019
230	yudixie_resnet18_distance_translation_0_240719	.018
231	alexnet_ks_torevert	.018
232	alexnet	.018
233	resnext101_32x8d_wsl	.018
234	resnet101_imagenet_full	.017
235	resnet50_simsiam_linhead	.017
236	compact_cornets_V4	.017
237	yudixie_resnet50_random_0_240908	.017
238	persistence_mem	.017
239	compact_vgg19_V4	.016
240	artResNet18_1	.016
241	resnet50_robust_l2_eps1	.015
242	AdvProp_efficientnet-b4	.014
243	omnivore_swinB	.014
244	convnext_tiny_sup	.013
245	voneresnet-50-robust	.013
246	yudixie_resnet50_imagenet1kpret_0_240312	.013
247	resnet_50_v1_spiking_l3	.013
248	resnet_50_v1_spiking_l4a	.013
249	resnet_50_v1_spiking	.013
250	resnet_50_v1_spiking_l4	.013
251	yudixie_resnet50_imagenet1kpret_0_240908	.013
252	resnet_50_v1	.013
253	resnet50-sup	.013
254	resnet50_tutorial	.013
255	tv_efficientnet-b1	.012
256	mobilenet_v2_1_4_224	.011
257	mobilenet_v2_1-4_224_pytorch	.011
258	yudixie_resnet18_category_class_0_240719	.011
259	AlexNet_SIN	.011
260	BiT-S-R50x1	.011
261	resnet50_simclr_linhead_01norm	.010
262	deepeisnn_ei_cifar10_vgg19	.010
263	vonealexnet	.009
264	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.009
265	antialiased-r50	.009
266	convnext_large_clip_laion2b_finelayers	.009
267	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.009
268	resnet50-SIN_IN_IN	.008
269	mobilenet_v2_1_3_224	.008
270	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.008
271	mobilenet_v2_0_75_224	.007
272	yudixie_resnet18_translation_rotation_0_240719	.007
273	mobilenet_v2_1_0_192	.007
274	convnext_xlarge:fb_in22k_ft_in1k	.007
275	dinov2_vitg14_reg_lc	.007
276	dinov2_vitl14_reg_lc_featread	.006
277	dinov2_vitl14_reg_lc	.006
278	xception	.006
279	BiT-S-R50x3	.006
280	resnet50_imagenet_100_seed-0	.006
281	resnet50_ijepacnn_linhead	.005
282	vonegrcnn_52e_full	.005
283	persistence_memory	.005
284	vonegrcnn_47e	.005
285	antialias-resnet152	.005
286	mc3_18	.005
287	yudixie_wbh_object_class_scaling_0415_imagenet	.004
288	yudixie_resnet18_imagenet1kpret_0_240719	.004
289	yudixie_resnet50_translation_reg_0_240908	.004
290	mobilenet_v2_1_0_160	.004
291	pnasnet_large	.004
292	compact_resnet50_V4	.004
293	yudixie_resnet50_object_class_0_240908	.004
294	yudixie_resnet18_translation_reg_0_240719	.004
295	resnet50_imagenet_10_seed-0	.003
296	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.003
297	resnet50-SIN	.002
298	mobilenet_v2_0_5_224	.002
299	voneresnet-50-non_stochastic	.002
300	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3	.001
301	convnext_base_fb_in22k_ft_in1k	.001
302	yudixie_resnet18_rotation_reg_0_240719	.001
303	yudixie_resnet18_distance_rotation_0_240719	.001
304	yudixie_resnet18_distance_reg_0_240719	.001
305	deepeisnn_ei_cifar10_resnet18	.001
306	yudixie_resnet50_distance_reg_0_240908	.001
307	yudixie_resnet50_distance_translation_rotation_0_240908	.001
308	voneresnet-50	.001
309	yudixie_resnet50_category_class_0_240908	.001
310	VOneCORnet-S	.001
311	AdvProp_efficientnet-b8	.001
312	blt_vs	.001
313	yudixie_resnet50_distance_translation_0_240908	.000
314	vgg_16	.000
315	yudixie_resnet50_translation_rotation_0_240908	.000
316	AdvProp_efficientnet-b7	.000
317	yudixie_resnet18_distance_translation_rotation_0_240719	.000
318	yudixie_resnet50_distance_rotation_0_240908	.000
319	resnet18_fair	.000
320	briaai_rmbg_1_4	.000
321	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.000
322	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.000
323	efficientnet_b1_imagenet_full	.000
324	mobilenet_v2_0_75_160	.000
325	deepeisnn_ei_imagenet_resnet18	.000
326	BiT-S-R152x2	.001
327	vgg_19	.002
328	focalnet_tiny_lrf_in1k	.002
329	yudixie_resnet18_object_class_0_240719	.003
330	mobilenet_v2_0_75_192	.004
331	pnasnet_large_halfPrecision
332	ReAlnet01_cornet_fov16	1.0
333	ReAlnet01_cornet_fov12	1.0
334	SeLaVi-Kinetics-Sound
335	mvit_v2_s
336	SeLaVi-VGG-Sound
337	mvit_v1_b
338	fixres_resnext101_32x48d_wsl
339	SeLaVi-AVE
340	mobilenet_v2_1_0_128
341	efficientnet_b0_imagenet_full
342	pnasnet_large_pytorch

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

0.45.

Note that scores are relative to this ceiling.

Data: tong.Coggan2024_fMRI.V1

Metric: rdm