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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	deit_small_imagenet_100_seed-0	1.0
2	deit_large_imagenet_full_seed-0	1.0
3	ReAlnet10	1.0
4	pnasnet_large_pytorch	1.0
5	compact_resnet50_robust_V4	1.0
6	resnet101_ecoset_full	1.0
7	omnivore_swinB	1.0
8	artResNet18_1	1.0
9	ReAlnet10_cornet	1.0
10	BiT-S-R101x1	1.0
11	convnext_tiny:in12k_ft_in1k	1.0
12	yudixie_resnet18_object_class_0_240719	1.0
13	vit_relpos_base_patch16_clsgap_224:sw_in1k	1.0
14	convnext_femto_ols:d1_in1k	1.0
15	resnet18_fair	1.0
16	resnext101_32x16d_wsl	1.0
17	inception_v4	1.0
18	ReAlnet01_ALL	1.0
19	vgg_16	1.0
20	deit_small_imagenet_1_seed-0	.971
21	ReAlnet02_ALL	.971
22	voneresnet-50-robust	.971
23	compact_resnet50_robust_IT	.971
24	BiT-S-R152x2	.971
25	yudixie_wbh_object_class_scaling_0415_run_3	.971
26	yudixie_wbh_object_class_scaling_0415_run_1	.971
27	deepeisnn_ei_cifar10_vgg19	.971
28	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.942
29	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.942
30	resnet_50_v1_spiking_l4	.942
31	vit_large_patch14_clip_224:openai_ft_in1k	.942
32	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.942
33	vit_large_patch14_clip_336:laion2b_ft_in1k	.942
34	cv_18_dagger_408_pretrained	.942
35	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.942
36	vit_base_patch16_dinov3-lvd1689m	.942
37	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.942
38	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.942
39	vit_base_patch14_dinov2-lvd142m	.942
40	vit_base_patch14_reg4_dinov2-lvd142m	.942
41	vit_large_patch14_clip_224:laion2b_ft_in1k	.942
42	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.942
43	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.942
44	resnet50-VITO-8deg-cc	.942
45	nasnet_mobile	.942
46	resnet50-vitoimagevidnet8	.942
47	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.942
48	deit3_base_patch16_224_fb_in1k	.942
49	yudixie_wbh_object_class_scaling_0415_run_2	.942
50	yudixie_resnet50_imagenet1kpret_0_240908	.883
51	yudixie_resnet50_imagenet1kpret_0_240312	.883
52	deit_small_imagenet_10_seed-0	.883
53	pnasnet_large_halfPrecision	.883
54	nasnet_large	.883
55	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.883
56	convnext_large:fb_in22k_ft_in1k	.883
57	ReAlnet05	.855
58	alexnet_training_seed_06	.855
59	compact_resnet50_IT	.855
60	ReAlnet05_cornet	.855
61	custom_model_cv_18_dagger_408	.855
62	alexnet_fov12	.802
63	resnet_SIN_IN_FT_IN	.802
64	resnet50-vicregl0p9	.802
65	ReAlnet07	.777
66	alexnet_training_seed_08	.777
67	briaai_rmbg_1_4	.777
68	resnet50_imagenet_full	.777
69	ReAlnet07_cornet	.777
70	grcnn	.777
71	yudixie_resnet50_distance_translation_rotation_0_240908	.777
72	deit3_base_patch16_224_fb_in22k_ft_in1k	.777
73	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	.777
74	yudixie_resnet50_object_class_0_240908	.728
75	convnext_xlarge:fb_in22k_ft_in1k	.728
76	cvt_cvt-21-224-in1k_4_LucyV4	.728
77	yudixie_resnet18_distance_translation_rotation_0_240719	.728
78	yudixie_resnet50_rotation_reg_0_240908	.728
79	ReAlnet07_ALL	.728
80	resnet50-vicregl0p75	.728
81	focalnet_tiny_lrf_in1k	.728
82	alexnet_ks_torevert	.706
83	cvt_cvt-13-224-in1k_4_LucyV4	.706
84	alexnet	.706
85	ViT_L_32_imagenet1k	.706
86	ReAlnet01_cornet_fov4	.706
87	resnet50-vicreg	.706
88	VOneCORnet-S	.706
89	mobilenet_v2_1_0_224	.706
90	resnet_152_v2	.706
91	ReAlnet09_ALL	.706
92	predictive_coding_pc	.706
93	yudixie_wbh_object_class_scaling_0415_run_0	.706
94	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.662
95	resnet50_tutorial	.662
96	ReAlnet04_ALL	.662
97	ReAlnet06_ALL	.662
98	resnet18_imagenet21kP	.641
99	fixres_resnext101_32x48d_wsl	.641
100	ReAlnet03	.641
101	resnet50_st_wzc_2	.641
102	yolos_tiny	.641
103	resnet18_imagenet_full	.641
104	ReAlnet03_cornet	.641
105	vit_base_patch16_clip_224:openai_ft_in1k	.641
106	resnet-18_test_m	.641
107	Res2Net50_26w_4s	.641
108	mobilenet_v2_1_3_224	.641
109	ReAlnet05_ALL	.641
110	omnivore_swinS	.641
111	inception_v1	.641
112	alexnet_training_seed_05	.601
113	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.601
114	yudixie_resnet18_distance_rotation_0_240719	.601
115	resnet18_ecoset_full	.583
116	resnet50_ewconplus_wzc	.583
117	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.583
118	mobilenet_v2_1_0_128	.583
119	cvt_cvt-13-384-in1k_4_LucyV4	.583
120	resnet50_imagenet_1_seed-0	.583
121	yudixie_resnet18_random_0_240719	.583
122	alexnet_training_seed_01_fov4	.583
123	AdvProp_efficientnet-b7	.583
124	AlexNet_SIN	.546
125	pnasnet_large	.546
126	ReAlnet03_ALL	.546
127	resnet_101_v2	.546
128	antialiased-rnext101_32x8d	.529
129	resnet_50_v1_spiking_l4a	.529
130	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.529
131	compact_vgg19_IT	.529
132	BiT-S-R101x3	.529
133	yudixie_resnet50_distance_reg_0_240908	.496
134	alexnet_training_seed_07	.496
135	deit_base_imagenet_full_seed-0	.481
136	blt_vs	.481
137	ReAlnet09	.481
138	compact_resnet50_V4	.481
139	yudixie_resnet18_translation_reg_0_240719	.481
140	ReAlnet09_cornet	.481
141	vonegrcnn_47e	.481
142	alexnet_training_seed_01	.451
143	ReAlnet08_ALL	.451
144	convnext_tiny_imagenet_full_seed-0	.437
145	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.437
146	densenet-201	.437
147	ReAlnet01_cornet	.437
148	resnext101_32x8d_wsl	.437
149	hmax	.437
150	mobilenet_v2_1-4_224_pytorch	.437
151	AlexNet_SIN_fov4	.437
152	vgg_19	.437
153	mobilenet_v2_1_4_224	.437
154	ReAlnet01	.437
155	resnet_101_v1	.437
156	alexnet_training_seed_03	.437
157	convnext_base:clip_laiona_augreg_ft_in1k_384	.437
158	yudixie_wbh_object_class_scaling_0415_imagenet	.437
159	deepeisnn_ei_imagenet_resnet18	.437
160	mobilenet_v2_1_0_192	.410
161	resnet50-SIN_IN_IN	.410
162	xception	.410
163	convnext_small_imagenet_100_seed-0	.397
164	yudixie_resnet50_random_0_240908	.397
165	ReAlnet08	.397
166	alexnet_training_seed_04	.397
167	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.397
168	alexnet_training_seed_10	.397
169	resnet50-SIN	.397
170	compact_vgg19_V4	.397
171	ReAlnet04_cornet	.397
172	ReAlnet08_cornet	.397
173	resnet50-barlow	.397
174	resnet50-moclr8deg	.397
175	ReAlnet04	.397
176	resnet50_primary_visual_cortex	.397
177	resnet50_ewconplus_wzc_seed3_2_323	.397
178	resnet50_st_wzc_noseed_2_323	.397
179	resnet50_imagenet_10_seed-0	.372
180	resnext101_32x32d_wsl	.372
181	deit_small_imagenet_full_seed-0	.361
182	resnet50_st_wzc_seed5_2_323	.361
183	AdvProp_efficientnet-b6	.361
184	antialiased-r50	.361
185	densenet-169	.361
186	yudixie_resnet18_translation_rotation_0_240719	.338
187	compact_cornets_IT	.338
188	efficientnet_b1_imagenet_full	.328
189	vonegrcnn_62e_nobn	.328
190	alexnet_training_seed_01_fov12	.328
191	resnet50_ewconplus_noseed_2_323	.328
192	convnext_base_fb_in22k_ft_in1k	.328
193	convnext_base_fb_in1k_gram_aligned_dinov3	.328
194	convnext_small_imagenet_1_seed-0	.307
195	resnet50_ewconplus_wzc_seed7_2_323	.298
196	resnext101_32x48d_wsl	.298
197	resnet34_ecoset_full	.298
198	resnet50_ecoset_full	.298
199	yudixie_resnet50_distance_translation_0_240908	.298
200	ReAlnet01_cornet_fov16	.298
201	alexnet_training_seed_01_fov16	.298
202	convnext_small_imagenet_10_seed-0	.279
203	ReAlnet10_ALL	.279
204	ReAlnet06	.270
205	resnet50_eMMCR_Vanilla	.270
206	alexnet_training_seed_02	.270
207	mobilenet_v2_0_75_160	.270
208	mobilenet_v2_0_5_224	.270
209	resnet50_imagenet_100_seed-0	.270
210	resnet34_imagenet_full	.270
211	ReAlnet01_cornet_fov12	.270
212	aughost_fair_resnet18	.270
213	yudixie_resnet50_translation_reg_0_240908	.270
214	ReAlnet06_cornet	.270
215	voneresnet-50	.270
216	convnext_tiny_sup	.270
217	deepeisnn_ei_cifar10_resnet18	.270
218	yudixie_resnet18_rotation_reg_0_240719	.253
219	AlexNet_SIN_fov16	.253
220	resnet152_ecoset_full	.246
221	voneresnet-50-non_stochastic	.246
222	alexnet_fov16	.246
223	ReAlnet02_cornet	.246
224	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.246
225	ReAlnet02	.246
226	yudixie_resnet50_category_class_0_240908	.230
227	resnet101_imagenet_full	.223
228	convnext_small_imagenet_full_seed-0	.223
229	resnet_50_v1_spiking_l3	.223
230	AdvProp_efficientnet-b8	.223
231	BiT-S-R50x1	.223
232	densenet-121	.223
233	resnet50_st_wzc_seed7_2_323	.223
234	resnet_50_v1	.203
235	resnet50-sup	.203
236	AdvProp_efficientnet-b4	.203
237	resnet50_ewconplus_wzc_2_323	.203
238	BiT-S-R152x4	.190
239	inception_v3	.184
240	alexnet_fov4	.184
241	resnet152_imagenet_full	.184
242	efficientnet_b0_imagenet_full	.184
243	yudixie_resnet18_category_class_0_240719	.184
244	antialias-resnet152	.173
245	AlexNet_SIN_fov12	.173
246	alexnet_training_seed_09	.167
247	yudixie_resnet50_translation_rotation_0_240908	.167
248	grcnn_109	.167
249	vonegrcnn_52e_full	.167
250	BiT-S-R50x3	.167
251	cvt_cvt-21-384-in1k_4_LucyV4	.157
252	tv_efficientnet-b1	.152
253	effnetb1_272x240	.152
254	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.152
255	yudixie_resnet18_distance_translation_0_240719	.152
256	shufflenet_v2_x1_0	.152
257	resnet_50_v2	.152
258	resnet50_ewconplus_wzc_seed5_2__323	.152
259	mobilenet_v2_1_0_160	.138
260	resnet_152_v1	.138
261	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.126
262	yudixie_resnet50_distance_rotation_0_240908	.126
263	yudixie_resnet18_imagenet1kpret_0_240719	.126
264	convnext_large_imagenet_full_seed-0	.126
265	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.114
266	mobilenet_v2_0_75_224	.114
267	resnet50_ewconplus_wzc_seed4_2_323	.114
268	yudixie_resnet18_distance_reg_0_240719	.104
269	efficientnet-b7	.104
270	pr1_stl10_disentangled_alpha04	.094
271	efficientnet_b0	.086
272	resnet-152_v2_pytorch	.078
273	convnext_base_imagenet_full_seed-0	.078
274	resnet50_robust_l2_eps1	.073
275	regnet_y_400mf	.071
276	resnet50-SIN_IN	.071
277	resnet50_ewconplus_wzc_seed2_2__323	.071
278	resnet-50-robust	.064
279	imagenet_l2_3_0	.064
280	resnet50_robust_l2_eps3	.064
281	compact_cornets_V4	.053
282	mobilenet_v2_0_5_192	.048
283	mobilenet_v2_0_75_192	.048
284	resnet_50_v1_spiking	.044
285	AdvProp_efficientnet-b2	.033
286	AT_efficientnet-b2	.033
287	efficientnet_b2_imagenet_full	.020
288	SeLaVi-AVE
289	SeLaVi-Kinetics400
290	r3d_18
291	mc3_18
292	s3d
293	mvit_v2_s
294	mvit_v1_b
295	SeLaVi-Kinetics-Sound
296	SeLaVi-VGG-Sound
297	r2plus1d_18
298	convnext_base_fb_in1k
299	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3

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