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Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("Ferguson2024gray_hard-value_delta")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	compact_resnet50_robust_V4	1.0
2	ReAlnet10_cornet	1.0
3	ReAlnet10	1.0
4	omnivore_swinB	1.0
5	BiT-S-R101x1	1.0
6	artResNet18_1	1.0
7	deit_small_imagenet_100_seed-0	1.0
8	deit_large_imagenet_full_seed-0	1.0
9	resnet101_ecoset_full	1.0
10	pnasnet_large_pytorch	1.0
11	resnet18_fair	1.0
12	vit_relpos_base_patch16_clsgap_224:sw_in1k	1.0
13	convnext_tiny:in12k_ft_in1k	1.0
14	convnext_femto_ols:d1_in1k	1.0
15	yudixie_resnet18_object_class_0_240719	1.0
16	resnext101_32x16d_wsl	1.0
17	ReAlnet01_ALL	1.0
18	vgg_16	1.0
19	inception_v4	1.0
20	deepeisnn_ei_cifar10_vgg19	.971
21	yudixie_wbh_object_class_scaling_0415_run_1	.971
22	yudixie_wbh_object_class_scaling_0415_run_3	.971
23	compact_resnet50_robust_IT	.971
24	ReAlnet02_ALL	.971
25	voneresnet-50-robust	.971
26	BiT-S-R152x2	.971
27	deit_small_imagenet_1_seed-0	.971
28	ijepa_vith14_linhead	.942
29	mehrer2020_alexnet_training_seed_05	.942
30	dinov2_vitl14_lc	.942
31	vit_huge_clip336_laion	.942
32	vit_large_clip336_openai	.942
33	dinov2_vitl14_reg_lc_featread	.942
34	dinov2_vitl14_lc_res336	.942
35	dinov2_vitl14_reg_lc	.942
36	eva02_large_in22k	.942
37	dinov2_vitg14_reg_lc	.942
38	dinov2_vitg14_lc	.942
39	yudixie_wbh_object_class_scaling_0415_run_2	.942
40	deit3_base_patch16_224_fb_in1k	.942
41	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.942
42	vit_base_patch16_dinov3-lvd1689m	.942
43	vit_base_patch14_reg4_dinov2-lvd142m	.942
44	vit_base_patch14_dinov2-lvd142m	.942
45	cv_18_dagger_408_pretrained	.942
46	resnet_50_v1_spiking_l4	.942
47	nasnet_mobile	.942
48	resnet50-vitoimagevidnet8	.942
49	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.942
50	vit_large_patch14_clip_336:laion2b_ft_in1k	.942
51	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.942
52	vit_large_patch14_clip_224:openai_ft_in1k	.942
53	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.942
54	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.942
55	resnet50-VITO-8deg-cc	.942
56	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.942
57	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.942
58	vit_large_patch14_clip_224:laion2b_ft_in1k	.942
59	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.942
60	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.942
61	resnet50_vicreg_linhead	.883
62	seresnext50_32x4d	.883
63	convnext_xxlarge_clip	.883
64	pnasnet_large_halfPrecision	.883
65	yudixie_resnet50_imagenet1kpret_0_240312	.883
66	yudixie_resnet50_imagenet1kpret_0_240908	.883
67	nasnet_large	.883
68	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.883
69	convnext_large:fb_in22k_ft_in1k	.883
70	deit_small_imagenet_10_seed-0	.883
71	resnet50_barlowtwins_linhead	.855
72	compact_resnet50_IT	.855
73	alexnet_training_seed_06	.855
74	ReAlnet05_cornet	.855
75	ReAlnet05	.855
76	custom_model_cv_18_dagger_408	.855
77	mehrer2020_alexnet_training_seed_07	.802
78	alexnet_fov12	.802
79	resnet50-vicregl0p9	.802
80	resnet_SIN_IN_FT_IN	.802
81	mehrer2020_alexnet_training_seed_01	.777
82	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	.777
83	deit3_base_patch16_224_fb_in22k_ft_in1k	.777
84	briaai_rmbg_1_4	.777
85	yudixie_resnet50_distance_translation_rotation_0_240908	.777
86	alexnet_training_seed_08	.777
87	ReAlnet07_cornet	.777
88	grcnn	.777
89	ReAlnet07	.777
90	resnet50_imagenet_full	.777
91	convnext_large_in22k_supervised	.728
92	ReAlnet07_ALL	.728
93	yudixie_resnet50_object_class_0_240908	.728
94	yudixie_resnet50_rotation_reg_0_240908	.728
95	convnext_xlarge:fb_in22k_ft_in1k	.728
96	resnet50-vicregl0p75	.728
97	yudixie_resnet18_distance_translation_rotation_0_240719	.728
98	cvt_cvt-21-224-in1k_4_LucyV4	.728
99	focalnet_tiny_lrf_in1k	.728
100	yudixie_wbh_object_class_scaling_0415_run_0	.706
101	predictive_coding_pc	.706
102	alexnet_ks_torevert	.706
103	ReAlnet01_cornet_fov4	.706
104	ReAlnet09_ALL	.706
105	mobilenet_v2_1_0_224	.706
106	resnet_152_v2	.706
107	resnet50-vicreg	.706
108	VOneCORnet-S	.706
109	cvt_cvt-13-224-in1k_4_LucyV4	.706
110	ViT_L_32_imagenet1k	.706
111	alexnet	.706
112	ReAlnet06_ALL	.662
113	ReAlnet04_ALL	.662
114	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.662
115	resnet50_tutorial	.662
116	fixres_resnext101_32x48d_wsl	.641
117	resnet18_imagenet21kP	.641
118	resnet50_st_wzc_2	.641
119	ReAlnet05_ALL	.641
120	yolos_tiny	.641
121	mobilenet_v2_1_3_224	.641
122	ReAlnet03_cornet	.641
123	inception_v1	.641
124	ReAlnet03	.641
125	Res2Net50_26w_4s	.641
126	resnet-18_test_m	.641
127	omnivore_swinS	.641
128	vit_base_patch16_clip_224:openai_ft_in1k	.641
129	resnet18_imagenet_full	.641
130	alexnet_training_seed_05	.601
131	yudixie_resnet18_distance_rotation_0_240719	.601
132	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.601
133	mehrer2020_alexnet_training_seed_06	.583
134	mehrer2020_alexnet_training_seed_01_fov12	.583
135	alexnet_training_seed_01_fov4	.583
136	resnet50_ewconplus_wzc	.583
137	mobilenet_v2_1_0_128	.583
138	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.583
139	AdvProp_efficientnet-b7	.583
140	yudixie_resnet18_random_0_240719	.583
141	resnet50_imagenet_1_seed-0	.583
142	cvt_cvt-13-384-in1k_4_LucyV4	.583
143	resnet18_ecoset_full	.583
144	AlexNet_SIN	.546
145	ReAlnet03_ALL	.546
146	pnasnet_large	.546
147	resnet_101_v2	.546
148	antialiased-rnext101_32x8d	.529
149	compact_vgg19_IT	.529
150	resnet_50_v1_spiking_l4a	.529
151	BiT-S-R101x3	.529
152	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.529
153	resnet50_simclr_linhead_01norm	.496
154	yudixie_resnet50_distance_reg_0_240908	.496
155	alexnet_training_seed_07	.496
156	compact_resnet50_V4	.481
157	ReAlnet09_cornet	.481
158	ReAlnet09	.481
159	vonegrcnn_47e	.481
160	blt_vs	.481
161	yudixie_resnet18_translation_reg_0_240719	.481
162	deit_base_imagenet_full_seed-0	.481
163	regnety_032	.451
164	ReAlnet08_ALL	.451
165	alexnet_training_seed_01	.451
166	mehrer2020_alexnet_training_seed_03	.437
167	deepeisnn_ei_imagenet_resnet18	.437
168	yudixie_wbh_object_class_scaling_0415_imagenet	.437
169	AlexNet_SIN_fov4	.437
170	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.437
171	mobilenet_v2_1_4_224	.437
172	alexnet_training_seed_03	.437
173	ReAlnet01_cornet	.437
174	resnet_101_v1	.437
175	vgg_19	.437
176	ReAlnet01	.437
177	densenet-201	.437
178	convnext_base:clip_laiona_augreg_ft_in1k_384	.437
179	convnext_tiny_imagenet_full_seed-0	.437
180	mobilenet_v2_1-4_224_pytorch	.437
181	hmax	.437
182	resnext101_32x8d_wsl	.437
183	gabor_filter_entropy_4x4	.410
184	xception	.410
185	mobilenet_v2_1_0_192	.410
186	resnet50-SIN_IN_IN	.410
187	convnext_large_clip_laion2b_finelayers	.397
188	compact_vgg19_V4	.397
189	resnet50_primary_visual_cortex	.397
190	yudixie_resnet50_random_0_240908	.397
191	alexnet_training_seed_10	.397
192	alexnet_training_seed_04	.397
193	ReAlnet08_cornet	.397
194	ReAlnet04_cornet	.397
195	ReAlnet08	.397
196	ReAlnet04	.397
197	resnet50-moclr8deg	.397
198	resnet50-barlow	.397
199	resnet50-SIN	.397
200	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.397
201	convnext_small_imagenet_100_seed-0	.397
202	resnet50_byol_linhead	.372
203	resnet50_imagenet_10_seed-0	.372
204	resnext101_32x32d_wsl	.372
205	densenet-169	.361
206	antialiased-r50	.361
207	AdvProp_efficientnet-b6	.361
208	deit_small_imagenet_full_seed-0	.361
209	mehrer2020_alexnet_training_seed_02	.338
210	compact_cornets_IT	.338
211	yudixie_resnet18_translation_rotation_0_240719	.338
212	mehrer2020_alexnet_training_seed_01_fov4	.328
213	gabor_filter_entropy_4x4_v2	.328
214	convnext_base_fb_in1k_gram_aligned_dinov3	.328
215	convnext_base_fb_in22k_ft_in1k	.328
216	alexnet_training_seed_01_fov12	.328
217	vonegrcnn_62e_nobn	.328
218	efficientnet_b1_imagenet_full	.328
219	mehrer2020_alexnet_training_seed_01_fov16	.307
220	convnext_small_imagenet_1_seed-0	.307
221	gabor_filter_mean_abs_4x4_v2	.298
222	alexnet_training_seed_01_fov16	.298
223	ReAlnet01_cornet_fov16	.298
224	yudixie_resnet50_distance_translation_0_240908	.298
225	resnet50_ecoset_full	.298
226	resnet34_ecoset_full	.298
227	resnext101_32x48d_wsl	.298
228	ReAlnet10_ALL	.279
229	convnext_small_imagenet_10_seed-0	.279
230	deepeisnn_ei_cifar10_resnet18	.270
231	resnet50_eMMCR_Vanilla	.270
232	ReAlnet01_cornet_fov12	.270
233	alexnet_training_seed_02	.270
234	ReAlnet06_cornet	.270
235	mobilenet_v2_0_5_224	.270
236	mobilenet_v2_0_75_160	.270
237	yudixie_resnet50_translation_reg_0_240908	.270
238	ReAlnet06	.270
239	voneresnet-50	.270
240	convnext_tiny_sup	.270
241	resnet50_imagenet_100_seed-0	.270
242	resnet34_imagenet_full	.270
243	AlexNet_SIN_fov16	.253
244	yudixie_resnet18_rotation_reg_0_240719	.253
245	alexnet_fov16	.246
246	ReAlnet02_cornet	.246
247	ReAlnet02	.246
248	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.246
249	resnet152_ecoset_full	.246
250	voneresnet-50-non_stochastic	.246
251	yudixie_resnet50_category_class_0_240908	.230
252	resnet50_simsiam_linhead	.223
253	resnet50_st_wzc_seed7_2_323	.223
254	resnet_50_v1_spiking_l3	.223
255	densenet-121	.223
256	BiT-S-R50x1	.223
257	AdvProp_efficientnet-b8	.223
258	convnext_small_imagenet_full_seed-0	.223
259	resnet101_imagenet_full	.223
260	mehrer2020_alexnet_training_seed_08	.203
261	resnet_50_v1	.203
262	AdvProp_efficientnet-b4	.203
263	resnet50-sup	.203
264	BiT-S-R152x4	.190
265	alexnet_fov4	.184
266	inception_v3	.184
267	yudixie_resnet18_category_class_0_240719	.184
268	efficientnet_b0_imagenet_full	.184
269	resnet152_imagenet_full	.184
270	antialias-resnet152	.173
271	AlexNet_SIN_fov12	.173
272	mehrer2020_alexnet_training_seed_09	.167
273	resnet50_hvs_wzc	.167
274	alexnet_training_seed_09	.167
275	grcnn_109	.167
276	yudixie_resnet50_translation_rotation_0_240908	.167
277	BiT-S-R50x3	.167
278	vonegrcnn_52e_full	.167
279	cvt_cvt-21-384-in1k_4_LucyV4	.157
280	mehrer2020_alexnet_training_seed_04	.152
281	resnet50_ewconplus_wzc_seed5_2__323	.152
282	tv_efficientnet-b1	.152
283	resnet_50_v2	.152
284	shufflenet_v2_x1_0	.152
285	yudixie_resnet18_distance_translation_0_240719	.152
286	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.152
287	effnetb1_272x240	.152
288	gabor_filter_entropy_4x4_v2_forcedCosine	.138
289	mobilenet_v2_1_0_160	.138
290	resnet_152_v1	.138
291	yudixie_resnet50_distance_rotation_0_240908	.126
292	convnext_large_imagenet_full_seed-0	.126
293	yudixie_resnet18_imagenet1kpret_0_240719	.126
294	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.126
295	mobilenet_v2_0_75_224	.114
296	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.114
297	efficientnet-b7	.104
298	yudixie_resnet18_distance_reg_0_240719	.104
299	pr1_stl10_disentangled_alpha04	.094
300	efficientnet_b0	.086
301	convnext_base_imagenet_full_seed-0	.078
302	resnet-152_v2_pytorch	.078
303	resnet50_robust_l2_eps1	.073
304	mehrer2020_alexnet_training_seed_10	.071
305	resnet50_ewconplus_wzc_seed2_2__323	.071
306	regnet_y_400mf	.071
307	resnet50-SIN_IN	.071
308	resnet50_robust_l2_eps3	.064
309	imagenet_l2_3_0	.064
310	resnet-50-robust	.064
311	compact_cornets_V4	.053
312	mobilenet_v2_0_75_192	.048
313	mobilenet_v2_0_5_192	.048
314	resnet_50_v1_spiking	.044
315	AT_efficientnet-b2	.033
316	AdvProp_efficientnet-b2	.033
317	eicircuit_resnet18_bn_20260919	.022
318	efficientnet_b2_imagenet_full	.020
319	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3
320	convnext_base_fb_in1k
321	r2plus1d_18
322	SeLaVi-VGG-Sound
323	SeLaVi-Kinetics-Sound
324	mvit_v1_b
325	mvit_v2_s
326	s3d
327	mc3_18
328	r3d_18
329	SeLaVi-Kinetics400
330	SeLaVi-AVE

Benchmark bibtex

        @misc{ferguson_ngo_lee_dicarlo_schrimpf_2024,
         title={How Well is Visual Search Asymmetry predicted by a Binary-Choice, Rapid, Accuracy-based Visual-search, Oddball-detection (BRAVO) task?},
         url={osf.io/5ba3n},
         DOI={10.17605/OSF.IO/5BA3N},
         publisher={OSF},
         author={Ferguson, Michael E, Jr and Ngo, Jerry and Lee, Michael and DiCarlo, James and Schrimpf, Martin},
         year={2024},
         month={Jun}
}

Ceiling

0.86.

Note that scores are relative to this ceiling.

Data: Ferguson2024gray_hard

Metric: value_delta