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Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("Ferguson2024round_v-value_delta")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	1.0
2	mobilenet_v2_0_75_192	1.0
3	ReAlnet01_cornet	1.0
4	resnet50_ecoset_full	1.0
5	grcnn	1.0
6	voneresnet-50-robust	1.0
7	ReAlnet01	1.0
8	vit_large_patch14_clip_224:openai_ft_in12k_in1k	1.0
9	resnet152_ecoset_full	1.0
10	yudixie_resnet18_distance_translation_0_240719	1.0
11	yudixie_resnet18_object_class_0_240719	1.0
12	ReAlnet08	1.0
13	resnet50-SIN	1.0
14	nasnet_large	1.0
15	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	1.0
16	ReAlnet08_cornet	1.0
17	resnet_152_v2	1.0
18	convnext_femto_ols:d1_in1k	1.0
19	convnext_small_imagenet_10_seed-0	1.000
20	ReAlnet06	1.000
21	yudixie_resnet50_category_class_0_240908	1.000
22	alexnet_training_seed_04	1.000
23	inception_v4	1.000
24	resnet34_ecoset_full	1.000
25	vit_large_patch14_clip_224:laion2b_ft_in1k	1.000
26	ReAlnet04_cornet	1.000
27	Res2Net50_26w_4s	1.000
28	ReAlnet06_cornet	1.000
29	ReAlnet04	1.000
30	convnext_xlarge:fb_in22k_ft_in1k	.924
31	convnext_base_imagenet_full_seed-0	.924
32	resnet101_imagenet_full	.924
33	mobilenet_v2_0_5_224	.924
34	mobilenet_v2_1-4_224_pytorch	.924
35	ReAlnet01_ALL	.924
36	omnivore_swinB	.924
37	mobilenet_v2_1_4_224	.924
38	vit_large_patch14_clip_336:laion2b_ft_in1k	.905
39	convnext_tiny_imagenet_full_seed-0	.905
40	efficientnet-b7	.905
41	voneresnet-50	.905
42	deit_small_imagenet_100_seed-0	.836
43	deit_large_imagenet_full_seed-0	.836
44	ReAlnet09	.836
45	resnet101_ecoset_full	.836
46	nasnet_mobile	.836
47	ReAlnet09_cornet	.836
48	inception_v1	.836
49	vit_large_patch14_clip_224:openai_ft_in1k	.820
50	resnet18_imagenet_full	.820
51	resnext101_32x32d_wsl	.820
52	focalnet_tiny_lrf_in1k	.820
53	resnet152_imagenet_full	.820
54	blt_vs	.820
55	yudixie_resnet18_distance_reg_0_240719	.820
56	resnet50-vicreg	.820
57	resnet34_imagenet_full	.757
58	yudixie_resnet50_distance_reg_0_240908	.757
59	ViT_L_32_imagenet1k	.757
60	alexnet_training_seed_10	.757
61	vgg_16	.757
62	vonegrcnn_62e_nobn	.757
63	ReAlnet05	.742
64	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.742
65	alexnet_training_seed_01	.742
66	ReAlnet05_cornet	.742
67	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.686
68	shufflenet_v2_x1_0	.686
69	ReAlnet02_ALL	.686
70	ReAlnet05_ALL	.686
71	ReAlnet10_ALL	.686
72	efficientnet_b2_imagenet_full	.672
73	custom_model_cv_18_dagger_408	.672
74	efficientnet_b0	.672
75	resnet_50_v1_spiking_l3	.672
76	vgg_19	.672
77	AdvProp_efficientnet-b7	.672
78	ReAlnet07_ALL	.672
79	resnet_50_v2	.672
80	inception_v3	.621
81	convnext_small_imagenet_full_seed-0	.621
82	deit_small_imagenet_10_seed-0	.621
83	deit_base_imagenet_full_seed-0	.621
84	resnet18_ecoset_full	.621
85	ReAlnet03_ALL	.621
86	omnivore_swinS	.621
87	AdvProp_efficientnet-b4	.621
88	ReAlnet08_ALL	.621
89	densenet-169	.621
90	resnext101_32x48d_wsl	.621
91	yudixie_resnet50_distance_translation_rotation_0_240908	.609
92	ReAlnet03	.609
93	ReAlnet07	.609
94	voneresnet-50-non_stochastic	.609
95	ReAlnet03_cornet	.609
96	ReAlnet07_cornet	.609
97	grcnn_109	.609
98	vonegrcnn_47e	.609
99	yudixie_resnet18_imagenet1kpret_0_240719	.562
100	AdvProp_efficientnet-b8	.562
101	convnext_tiny_sup	.562
102	alexnet_training_seed_05	.551
103	resnet-50-robust	.551
104	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.551
105	ReAlnet02_cornet	.551
106	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.551
107	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.551
108	yudixie_resnet18_translation_reg_0_240719	.551
109	resnet_SIN_IN_FT_IN	.551
110	ReAlnet02	.551
111	alexnet_training_seed_03	.509
112	cvt_cvt-21-384-in1k_4_LucyV4	.509
113	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.509
114	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.509
115	hmax	.509
116	mobilenet_v2_0_75_224	.499
117	resnet_50_v1_spiking_l4a	.499
118	convnext_small_imagenet_1_seed-0	.499
119	BiT-S-R50x1	.499
120	convnext_large_imagenet_full_seed-0	.461
121	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.461
122	resnet50_imagenet_100_seed-0	.461
123	vit_base_patch16_clip_224:openai_ft_in1k	.461
124	ReAlnet06_ALL	.461
125	convnext_base:clip_laiona_augreg_ft_in1k_384	.417
126	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.417
127	cvt_cvt-13-224-in1k_4_LucyV4	.417
128	resnet50-SIN_IN	.417
129	resnet-18_test_m	.417
130	resnet50_primary_visual_cortex	.417
131	mobilenet_v2_0_75_160	.409
132	yudixie_resnet18_distance_rotation_0_240719	.409
133	vit_relpos_base_patch16_clsgap_224:sw_in1k	.409
134	resnet50-vitoimagevidnet8	.409
135	mobilenet_v2_1_3_224	.409
136	resnet50-VITO-8deg-cc	.409
137	resnet_50_v1	.409
138	resnet_101_v2	.409
139	resnet50-sup	.409
140	resnet_152_v1	.409
141	effnetb1_272x240	.378
142	VOneCORnet-S	.378
143	imagenet_l2_3_0	.378
144	resnet50_robust_l2_eps3	.378
145	BiT-S-R50x3	.378
146	ReAlnet09_ALL	.378
147	resnet50_imagenet_full	.370
148	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.370
149	ReAlnet10	.370
150	briaai_rmbg_1_4	.370
151	resnet50-SIN_IN_IN	.370
152	xception	.370
153	ReAlnet10_cornet	.370
154	convnext_large:fb_in22k_ft_in1k	.370
155	cvt_cvt-13-384-in1k_4_LucyV4	.342
156	artResNet18_1	.342
157	resnet50-vicregl0p9	.342
158	yudixie_resnet50_random_0_240908	.335
159	yudixie_resnet50_object_class_0_240908	.335
160	yudixie_resnet50_distance_translation_0_240908	.310
161	yudixie_resnet50_distance_rotation_0_240908	.304
162	resnet50-moclr8deg	.304
163	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.281
164	efficientnet_b0_imagenet_full	.281
165	yudixie_resnet50_imagenet1kpret_0_240908	.275
166	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.275
167	resnet50_imagenet_10_seed-0	.275
168	mobilenet_v2_1_0_224	.275
169	densenet-121	.275
170	deit_small_imagenet_full_seed-0	.254
171	densenet-201	.254
172	AdvProp_efficientnet-b6	.254
173	deit_small_imagenet_1_seed-0	.249
174	resnet50_robust_l2_eps1	.249
175	BiT-S-R152x2	.249
176	resnet50-barlow	.230
177	ReAlnet04_ALL	.230
178	vonegrcnn_52e_full	.230
179	AdvProp_efficientnet-b2	.230
180	BiT-S-R152x4	.230
181	AT_efficientnet-b2	.230
182	alexnet_training_seed_09	.225
183	resnet_50_v1_spiking_l4	.225
184	alexnet_training_seed_02	.225
185	alexnet_training_seed_08	.225
186	yudixie_resnet18_translation_rotation_0_240719	.225
187	yudixie_resnet18_distance_translation_rotation_0_240719	.225
188	yudixie_resnet50_translation_rotation_0_240908	.225
189	resnet_101_v1	.225
190	mobilenet_v2_1_0_128	.208
191	resnet-152_v2_pytorch	.208
192	mobilenet_v2_1_0_160	.204
193	mobilenet_v2_1_0_192	.204
194	antialiased-r50	.204
195	mobilenet_v2_0_5_192	.189
196	convnext_tiny:in12k_ft_in1k	.185
197	alexnet_training_seed_06	.185
198	yudixie_resnet50_rotation_reg_0_240908	.185
199	cvt_cvt-21-224-in1k_4_LucyV4	.171
200	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.155
201	resnet50-vicregl0p75	.155
202	efficientnet_b1_imagenet_full	.140
203	resnet50_tutorial	.137
204	alexnet_training_seed_07	.137
205	pnasnet_large_pytorch	.124
206	resnext101_32x8d_wsl	.102
207	BiT-S-R101x3	.083
208	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.076
209	convnext_small_imagenet_100_seed-0	.070
210	resnet50_imagenet_1_seed-0	.068
211	yudixie_resnet18_category_class_0_240719	.068
212	yudixie_resnet18_rotation_reg_0_240719	.068
213	pnasnet_large	.062
214	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.035
215	yudixie_resnet50_translation_reg_0_240908	.034
216	resnet_50_v1_spiking	.025
217	yolos_tiny	.025
218	BiT-S-R101x1	.025
219	yudixie_resnet18_random_0_240719	.023

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

0.85.

Note that scores are relative to this ceiling.

Data: Ferguson2024round_v

Metric: value_delta