Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("Ferguson2024circle_line-value_delta")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	yudixie_resnet18_distance_translation_0_240719	1.0
2	shufflenet_v2_x1_0	1.0
3	effnetb1_272x240	1.0
4	resnet101_imagenet_full	1.0
5	deit_small_imagenet_10_seed-0	1.0
6	BiT-S-R101x3	1.0
7	yudixie_resnet50_translation_rotation_0_240908	1.0
8	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	1.0
9	convnext_tiny_imagenet_full_seed-0	1.0
10	alexnet_training_seed_09	1.0
11	nasnet_large	1.0
12	BiT-S-R50x1	1.0
13	voneresnet-50-non_stochastic	1.0
14	efficientnet-b7	1.0
15	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.935
16	cvt_cvt-21-224-in1k_4_LucyV4	.935
17	vit_base_patch16_clip_224:openai_ft_in1k	.931
18	resnext101_32x8d_wsl	.931
19	convnext_tiny_sup	.931
20	mobilenet_v2_0_75_192	.931
21	convnext_small_imagenet_full_seed-0	.848
22	BiT-S-R152x2	.848
23	pnasnet_large_pytorch	.845
24	vonegrcnn_52e_full	.845
25	yudixie_resnet18_translation_reg_0_240719	.845
26	yudixie_resnet50_random_0_240908	.845
27	grcnn_109	.845
28	yudixie_resnet18_distance_translation_rotation_0_240719	.845
29	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.770
30	convnext_small_imagenet_1_seed-0	.767
31	BiT-S-R50x3	.767
32	convnext_large_imagenet_full_seed-0	.767
33	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.699
34	mobilenet_v2_1-4_224_pytorch	.696
35	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.696
36	mobilenet_v2_1_4_224	.696
37	deit_base_imagenet_full_seed-0	.696
38	AdvProp_efficientnet-b4	.696
39	deit_small_imagenet_100_seed-0	.696
40	AdvProp_efficientnet-b8	.634
41	convnext_femto_ols:d1_in1k	.632
42	alexnet_training_seed_02	.632
43	cvt_cvt-13-224-in1k_4_LucyV4	.632
44	resnet_101_v2	.632
45	mobilenet_v2_0_75_160	.632
46	resnext101_32x48d_wsl	.573
47	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.573
48	alexnet_training_seed_06	.573
49	vit_relpos_base_patch16_clsgap_224:sw_in1k	.573
50	vit_large_patch14_clip_336:laion2b_ft_in1k	.573
51	mobilenet_v2_0_75_224	.573
52	vit_large_patch14_clip_224:laion2b_ft_in1k	.573
53	yudixie_resnet50_distance_reg_0_240908	.573
54	convnext_base:clip_laiona_augreg_ft_in1k_384	.573
55	resnet152_ecoset_full	.522
56	vonegrcnn_62e_nobn	.522
57	omnivore_swinB	.522
58	convnext_base_imagenet_full_seed-0	.522
59	convnext_large:fb_in22k_ft_in1k	.520
60	yolos_tiny	.520
61	AdvProp_efficientnet-b6	.520
62	cvt_cvt-13-384-in1k_4_LucyV4	.520
63	resnet101_ecoset_full	.520
64	yudixie_resnet18_rotation_reg_0_240719	.520
65	Res2Net50_26w_4s	.520
66	vgg_19	.520
67	resnet50-vicregl0p9	.520
68	densenet-121	.520
69	antialiased-r50	.472
70	mobilenet_v2_1_0_128	.472
71	xception	.472
72	ViT_L_32_imagenet1k	.472
73	resnet-50-robust	.472
74	resnet50-sup	.430
75	resnet_50_v1	.430
76	BiT-S-R101x1	.428
77	voneresnet-50	.428
78	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.428
79	inception_v4	.428
80	convnext_tiny:in12k_ft_in1k	.428
81	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.428
82	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.428
83	resnet_50_v2	.428
84	mobilenet_v2_0_5_224	.428
85	resnext101_32x32d_wsl	.390
86	briaai_rmbg_1_4	.389
87	convnext_xlarge:fb_in22k_ft_in1k	.389
88	mobilenet_v2_1_0_224	.389
89	yudixie_resnet50_translation_reg_0_240908	.389
90	yudixie_resnet50_imagenet1kpret_0_240908	.389
91	yudixie_resnet18_object_class_0_240719	.389
92	resnet50_ecoset_full	.389
93	voneresnet-50-robust	.353
94	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.353
95	resnet50-vicregl0p75	.353
96	convnext_small_imagenet_10_seed-0	.353
97	BiT-S-R152x4	.353
98	resnet50-SIN_IN_IN	.353
99	efficientnet_b2_imagenet_full	.353
100	resnet50-moclr8deg	.353
101	resnet50-vicreg	.353
102	resnet_152_v1	.353
103	AT_efficientnet-b2	.322
104	AdvProp_efficientnet-b2	.322
105	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.320
106	alexnet_training_seed_01	.320
107	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.320
108	yudixie_resnet18_imagenet1kpret_0_240719	.320
109	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.320
110	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.320
111	vit_large_patch14_clip_224:openai_ft_in1k	.320
112	resnet34_ecoset_full	.320
113	yudixie_resnet50_category_class_0_240908	.320
114	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.320
115	ReAlnet06	.291
116	resnet_101_v1	.291
117	inception_v3	.291
118	ReAlnet06_cornet	.291
119	nasnet_mobile	.291
120	yudixie_resnet18_distance_rotation_0_240719	.291
121	resnet50-SIN	.291
122	deit_large_imagenet_full_seed-0	.264
123	efficientnet_b0_imagenet_full	.264
124	grcnn	.264
125	yudixie_resnet50_object_class_0_240908	.264
126	deit_small_imagenet_full_seed-0	.264
127	densenet-169	.264
128	yudixie_resnet18_random_0_240719	.264
129	cvt_cvt-21-384-in1k_4_LucyV4	.264
130	resnet50_imagenet_1_seed-0	.264
131	omnivore_swinS	.240
132	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.240
133	resnet50_imagenet_10_seed-0	.239
134	mobilenet_v2_1_0_192	.239
135	efficientnet_b0	.239
136	resnet50-VITO-8deg-cc	.239
137	resnet50-vitoimagevidnet8	.239
138	mobilenet_v2_1_3_224	.239
139	vonegrcnn_47e	.239
140	resnet34_imagenet_full	.239
141	alexnet_training_seed_05	.239
142	ReAlnet07	.217
143	ReAlnet07_cornet	.217
144	mobilenet_v2_0_5_192	.217
145	resnet_SIN_IN_FT_IN	.217
146	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.217
147	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.217
148	AdvProp_efficientnet-b7	.198
149	pnasnet_large	.198
150	alexnet_training_seed_08	.197
151	vgg_16	.197
152	resnet50_tutorial	.197
153	artResNet18_1	.179
154	resnet50_imagenet_full	.179
155	alexnet_training_seed_03	.179
156	focalnet_tiny_lrf_in1k	.179
157	custom_model_cv_18_dagger_408	.179
158	alexnet_training_seed_10	.162
159	efficientnet_b1_imagenet_full	.162
160	ReAlnet09_cornet	.162
161	ReAlnet09	.162
162	mobilenet_v2_1_0_160	.162
163	ReAlnet10_cornet	.147
164	yudixie_resnet50_rotation_reg_0_240908	.147
165	alexnet_training_seed_04	.147
166	ReAlnet10	.147
167	convnext_small_imagenet_100_seed-0	.134
168	yudixie_resnet50_distance_translation_rotation_0_240908	.121
169	resnet50-SIN_IN	.121
170	deit_small_imagenet_1_seed-0	.121
171	resnet152_imagenet_full	.110
172	yudixie_resnet50_distance_rotation_0_240908	.110
173	densenet-201	.110
174	VOneCORnet-S	.100
175	yudixie_resnet18_category_class_0_240719	.100
176	ReAlnet05	.091
177	ReAlnet05_cornet	.091
178	yudixie_resnet50_distance_translation_0_240908	.082
179	resnet50-barlow	.082
180	yudixie_resnet18_translation_rotation_0_240719	.082
181	resnet18_ecoset_full	.075
182	ReAlnet08	.075
183	ReAlnet08_cornet	.075
184	yudixie_resnet18_distance_reg_0_240719	.068
185	ReAlnet03_cornet	.068
186	imagenet_l2_3_0	.068
187	resnet50_robust_l2_eps3	.068
188	alexnet_training_seed_07	.068
189	ReAlnet03	.068
190	ReAlnet02_cornet	.068
191	ReAlnet02	.068
192	resnet-18_test_m	.062
193	resnet50_imagenet_100_seed-0	.062
194	blt_vs	.046
195	resnet18_imagenet_full	.046
196	ReAlnet04	.046
197	resnet50_robust_l2_eps1	.046
198	ReAlnet04_cornet	.046
199	ReAlnet_incorrect	.034
200	ReAlnet01	.034
201	ReAlnet01_cornet	.034
202	inception_v1	.031
203	resnet-152_v2_pytorch	.021
204	resnet_152_v2	.014
205	hmax	X

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

0.88.

Note that scores are relative to this ceiling.

Data: Ferguson2024circle_line

Metric: value_delta