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	resnet101_imagenet_full	1.0
2	effnetb1_272x240	1.0
3	yudixie_resnet18_distance_translation_0_240719	1.0
4	shufflenet_v2_x1_0	1.0
5	BiT-S-R101x3	1.0
6	yudixie_resnet50_translation_rotation_0_240908	1.0
7	deit_small_imagenet_10_seed-0	1.0
8	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	1.0
9	alexnet_training_seed_09	1.0
10	voneresnet-50-non_stochastic	1.0
11	convnext_tiny_imagenet_full_seed-0	1.0
12	BiT-S-R50x1	1.0
13	nasnet_large	1.0
14	efficientnet-b7	1.0
15	cvt_cvt-21-224-in1k_4_LucyV4	.935
16	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.935
17	resnext101_32x8d_wsl	.931
18	mobilenet_v2_0_75_192	.931
19	convnext_tiny_sup	.931
20	vit_base_patch16_clip_224:openai_ft_in1k	.931
21	BiT-S-R152x2	.848
22	convnext_small_imagenet_full_seed-0	.848
23	vonegrcnn_52e_full	.845
24	yudixie_resnet50_random_0_240908	.845
25	grcnn_109	.845
26	yudixie_resnet18_translation_reg_0_240719	.845
27	yudixie_resnet18_distance_translation_rotation_0_240719	.845
28	pnasnet_large_pytorch	.845
29	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.770
30	BiT-S-R50x3	.767
31	convnext_large_imagenet_full_seed-0	.767
32	convnext_small_imagenet_1_seed-0	.767
33	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.699
34	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.696
35	mobilenet_v2_1_4_224	.696
36	AdvProp_efficientnet-b4	.696
37	deit_small_imagenet_100_seed-0	.696
38	mobilenet_v2_1-4_224_pytorch	.696
39	deit_base_imagenet_full_seed-0	.696
40	AdvProp_efficientnet-b8	.634
41	alexnet_training_seed_02	.632
42	convnext_femto_ols:d1_in1k	.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	alexnet_training_seed_06	.573
48	vit_relpos_base_patch16_clsgap_224:sw_in1k	.573
49	vit_large_patch14_clip_336:laion2b_ft_in1k	.573
50	vit_large_patch14_clip_224:laion2b_ft_in1k	.573
51	yudixie_resnet50_distance_reg_0_240908	.573
52	convnext_base:clip_laiona_augreg_ft_in1k_384	.573
53	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.573
54	mobilenet_v2_0_75_224	.573
55	resnet152_ecoset_full	.522
56	vonegrcnn_62e_nobn	.522
57	convnext_base_imagenet_full_seed-0	.522
58	omnivore_swinB	.522
59	resnet50-vicregl0p9	.520
60	resnet50_primary_visual_cortex	.520
61	resnet101_ecoset_full	.520
62	AdvProp_efficientnet-b6	.520
63	Res2Net50_26w_4s	.520
64	yudixie_resnet18_rotation_reg_0_240719	.520
65	yolos_tiny	.520
66	densenet-121	.520
67	cvt_cvt-13-384-in1k_4_LucyV4	.520
68	convnext_large:fb_in22k_ft_in1k	.520
69	vgg_19	.520
70	mobilenet_v2_1_0_128	.472
71	resnet-50-robust	.472
72	ViT_L_32_imagenet1k	.472
73	xception	.472
74	antialiased-r50	.472
75	resnet_50_v1	.430
76	resnet50-sup	.430
77	resnet_50_v2	.428
78	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.428
79	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.428
80	BiT-S-R101x1	.428
81	convnext_tiny:in12k_ft_in1k	.428
82	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.428
83	mobilenet_v2_0_5_224	.428
84	voneresnet-50	.428
85	inception_v4	.428
86	resnext101_32x32d_wsl	.390
87	yudixie_resnet50_translation_reg_0_240908	.389
88	yudixie_resnet18_object_class_0_240719	.389
89	briaai_rmbg_1_4	.389
90	yudixie_resnet50_imagenet1kpret_0_240908	.389
91	resnet50_ecoset_full	.389
92	resnet_50_v1_spiking_l3	.389
93	convnext_xlarge:fb_in22k_ft_in1k	.389
94	mobilenet_v2_1_0_224	.389
95	efficientnet_b2_imagenet_full	.353
96	BiT-S-R152x4	.353
97	resnet50-vicreg	.353
98	convnext_small_imagenet_10_seed-0	.353
99	resnet50-SIN_IN_IN	.353
100	voneresnet-50-robust	.353
101	resnet_152_v1	.353
102	resnet50-moclr8deg	.353
103	resnet50-vicregl0p75	.353
104	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.353
105	AT_efficientnet-b2	.322
106	AdvProp_efficientnet-b2	.322
107	alexnet_training_seed_01	.320
108	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.320
109	resnet34_ecoset_full	.320
110	yudixie_resnet50_category_class_0_240908	.320
111	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.320
112	yudixie_resnet18_imagenet1kpret_0_240719	.320
113	vit_large_patch14_clip_224:openai_ft_in1k	.320
114	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.320
115	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.320
116	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.320
117	inception_v3	.291
118	ReAlnet06	.291
119	resnet50-SIN	.291
120	yudixie_resnet18_distance_rotation_0_240719	.291
121	ReAlnet06_cornet	.291
122	nasnet_mobile	.291
123	resnet_101_v1	.291
124	deit_small_imagenet_full_seed-0	.264
125	densenet-169	.264
126	resnet_50_v1_spiking	.264
127	cvt_cvt-21-384-in1k_4_LucyV4	.264
128	grcnn	.264
129	deit_large_imagenet_full_seed-0	.264
130	resnet50_imagenet_1_seed-0	.264
131	efficientnet_b0_imagenet_full	.264
132	yudixie_resnet50_object_class_0_240908	.264
133	resnet_50_v1_spiking_l4a	.264
134	yudixie_resnet18_random_0_240719	.264
135	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.240
136	omnivore_swinS	.240
137	resnet50-VITO-8deg-cc	.239
138	efficientnet_b0	.239
139	mobilenet_v2_1_0_192	.239
140	resnet50_imagenet_10_seed-0	.239
141	resnet50-vitoimagevidnet8	.239
142	alexnet_training_seed_05	.239
143	resnet34_imagenet_full	.239
144	vonegrcnn_47e	.239
145	mobilenet_v2_1_3_224	.239
146	ReAlnet07_cornet	.217
147	resnet_SIN_IN_FT_IN	.217
148	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.217
149	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.217
150	ReAlnet07	.217
151	mobilenet_v2_0_5_192	.217
152	AdvProp_efficientnet-b7	.198
153	pnasnet_large	.198
154	alexnet_training_seed_08	.197
155	resnet50_tutorial	.197
156	vgg_16	.197
157	artResNet18_1	.179
158	custom_model_cv_18_dagger_408	.179
159	focalnet_tiny_lrf_in1k	.179
160	alexnet_training_seed_03	.179
161	resnet50_imagenet_full	.179
162	ReAlnet09_cornet	.162
163	ReAlnet09	.162
164	mobilenet_v2_1_0_160	.162
165	alexnet_training_seed_10	.162
166	efficientnet_b1_imagenet_full	.162
167	ReAlnet10_cornet	.147
168	yudixie_resnet50_rotation_reg_0_240908	.147
169	ReAlnet10	.147
170	alexnet_training_seed_04	.147
171	convnext_small_imagenet_100_seed-0	.134
172	resnet50-SIN_IN	.121
173	yudixie_resnet50_distance_translation_rotation_0_240908	.121
174	deit_small_imagenet_1_seed-0	.121
175	densenet-201	.110
176	resnet152_imagenet_full	.110
177	yudixie_resnet50_distance_rotation_0_240908	.110
178	yudixie_resnet18_category_class_0_240719	.100
179	VOneCORnet-S	.100
180	ReAlnet05_cornet	.091
181	ReAlnet05	.091
182	resnet_50_v1_spiking_l4	.082
183	yudixie_resnet18_translation_rotation_0_240719	.082
184	yudixie_resnet50_distance_translation_0_240908	.082
185	resnet50-barlow	.082
186	ReAlnet08	.075
187	ReAlnet08_cornet	.075
188	resnet18_ecoset_full	.075
189	alexnet_training_seed_07	.068
190	imagenet_l2_3_0	.068
191	resnet50_robust_l2_eps3	.068
192	ReAlnet02_cornet	.068
193	yudixie_resnet18_distance_reg_0_240719	.068
194	ReAlnet03	.068
195	ReAlnet02	.068
196	ReAlnet03_cornet	.068
197	resnet50_imagenet_100_seed-0	.062
198	resnet-18_test_m	.062
199	resnet50_robust_l2_eps1	.046
200	ReAlnet04_cornet	.046
201	resnet18_imagenet_full	.046
202	blt_vs	.046
203	ReAlnet04	.046
204	ReAlnet01	.034
205	ReAlnet01_cornet	.034
206	inception_v1	.031
207	resnet-152_v2_pytorch	.021
208	resnet_152_v2	.014
209	hmax

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