Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("Ferguson2024llh-value_delta")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	alexnet_training_seed_06	1.0
2	deit_base_imagenet_full_seed-0	1.0
3	ViT_L_32_imagenet1k	1.0
4	resnet50-SIN_IN_IN	1.0
5	convnext_femto_ols:d1_in1k	1.0
6	resnet50_imagenet_100_seed-0	1.0
7	deit_small_imagenet_10_seed-0	1.0
8	alexnet_training_seed_10	1.0
9	mobilenet_v2_1_0_128	1.0
10	alexnet_training_seed_09	1.0
11	convnext_xxlarge:clip_laion2b_soup_ft_in1k	1.0
12	efficientnet_b1_imagenet_full	1.0
13	vit_large_patch14_clip_224:openai_ft_in1k	1.0
14	resnet_50_v1_spiking_l4a	1.0
15	mobilenet_v2_1_0_160	1.0
16	xception	1.0
17	resnet50-moclr8deg	1.0
18	alexnet_training_seed_02	1.0
19	resnet-152_v2_pytorch	1.0
20	efficientnet-b7	1.0
21	alexnet_training_seed_01	1.0
22	resnet50_tutorial	1.0
23	yudixie_resnet50_object_class_0_240908	1.0
24	mobilenet_v2_1_0_192	1.0
25	resnet34_imagenet_full	1.0
26	cvt_cvt-w24-384-in22k_finetuned-in1k_4	1.0
27	resnet152_imagenet_full	1.0
28	vit_relpos_base_patch16_clsgap_224:sw_in1k	1.0
29	vgg_16	1.0
30	resnet_50_v1_spiking	1.0
31	cvt_cvt-13-384-in1k_4_LucyV4	1.0
32	efficientnet_b0_imagenet_full	1.0
33	cvt_cvt-21-224-in1k_4_LucyV4	.979
34	AdvProp_efficientnet-b8	.979
35	resnet152_ecoset_full	.951
36	blt_vs	.951
37	AdvProp_efficientnet-b4	.951
38	antialiased-r50	.951
39	pnasnet_large_pytorch	.951
40	vonegrcnn_52e_full	.951
41	yudixie_resnet18_category_class_0_240719	.951
42	BiT-S-R50x3	.888
43	mobilenet_v2_1_0_224	.888
44	mobilenet_v2_0_5_224	.888
45	BiT-S-R50x1	.888
46	yudixie_resnet18_distance_rotation_0_240719	.888
47	AdvProp_efficientnet-b7	.888
48	yudixie_resnet50_imagenet1kpret_0_240908	.862
49	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.862
50	AT_efficientnet-b2	.862
51	focalnet_tiny_lrf_in1k	.862
52	AdvProp_efficientnet-b2	.862
53	efficientnet_b2_imagenet_full	.862
54	yudixie_resnet18_distance_translation_0_240719	.862
55	resnet50_primary_visual_cortex	.805
56	mobilenet_v2_0_75_224	.805
57	deit_small_imagenet_100_seed-0	.805
58	inception_v1	.805
59	yudixie_resnet18_object_class_0_240719	.805
60	resnet18_ecoset_full	.805
61	resnext101_32x32d_wsl	.805
62	BiT-S-R152x4	.782
63	resnet50-vicregl0p9	.782
64	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.782
65	artResNet18_1	.782
66	resnet50_robust_l2_eps1	.782
67	resnet18_imagenet_full	.782
68	omnivore_swinB	.730
69	inception_v3	.730
70	yudixie_resnet18_rotation_reg_0_240719	.730
71	resnet50_imagenet_1_seed-0	.730
72	mobilenet_v2_0_75_192	.730
73	resnext101_32x48d_wsl	.709
74	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.709
75	convnext_tiny_sup	.709
76	resnet50-VITO-8deg-cc	.709
77	efficientnet_b0	.709
78	BiT-S-R101x1	.709
79	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.709
80	resnet50-vitoimagevidnet8	.709
81	yudixie_resnet18_translation_rotation_0_240719	.709
82	omnivore_swinS	.709
83	mobilenet_v2_1_3_224	.662
84	resnet_SIN_IN_FT_IN	.662
85	yudixie_resnet18_random_0_240719	.643
86	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.643
87	resnet_101_v1	.643
88	mobilenet_v2_0_5_192	.643
89	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.643
90	convnext_xlarge:fb_in22k_ft_in1k	.643
91	alexnet_training_seed_05	.601
92	BiT-S-R152x2	.601
93	resnet_152_v1	.583
94	shufflenet_v2_x1_0	.583
95	yudixie_resnet50_translation_reg_0_240908	.583
96	inception_v4	.583
97	VOneCORnet-S	.583
98	BiT-S-R101x3	.583
99	densenet-169	.583
100	alexnet_training_seed_08	.583
101	AdvProp_efficientnet-b6	.545
102	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.529
103	resnet50-vicregl0p75	.529
104	yudixie_resnet50_distance_reg_0_240908	.529
105	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.529
106	mobilenet_v2_0_75_160	.529
107	vonegrcnn_47e	.529
108	mobilenet_v2_1_4_224	.529
109	mobilenet_v2_1-4_224_pytorch	.529
110	vonegrcnn_62e_nobn	.529
111	resnet50-vicreg	.529
112	resnet-18_test_m	.529
113	yudixie_resnet18_distance_translation_rotation_0_240719	.529
114	alexnet_training_seed_04	.494
115	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.494
116	densenet-201	.480
117	resnet50-sup	.480
118	resnet_50_v1	.480
119	yudixie_resnet50_translation_rotation_0_240908	.448
120	yudixie_resnet18_distance_reg_0_240719	.448
121	yudixie_resnet50_category_class_0_240908	.435
122	grcnn	.435
123	nasnet_mobile	.435
124	cvt_cvt-21-384-in1k_4_LucyV4	.435
125	resnet50_ecoset_full	.435
126	resnet_152_v2	.406
127	convnext_small_imagenet_10_seed-0	.406
128	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.406
129	yudixie_resnet50_distance_rotation_0_240908	.395
130	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.395
131	custom_model_cv_18_dagger_408	.369
132	alexnet_training_seed_07	.369
133	resnet_50_v1_spiking_l4	.369
134	resnet50_imagenet_10_seed-0	.369
135	resnet50-SIN	.358
136	yudixie_resnet50_rotation_reg_0_240908	.358
137	yudixie_resnet50_random_0_240908	.358
138	effnetb1_272x240	.358
139	briaai_rmbg_1_4	.334
140	vit_base_patch16_clip_224:openai_ft_in1k	.325
141	grcnn_109	.325
142	resnet50_robust_l2_eps3	.325
143	imagenet_l2_3_0	.325
144	deit_small_imagenet_full_seed-0	.325
145	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.303
146	yudixie_resnet18_translation_reg_0_240719	.294
147	convnext_small_imagenet_full_seed-0	.294
148	Res2Net50_26w_4s	.294
149	densenet-121	.294
150	deit_large_imagenet_full_seed-0	.275
151	yolos_tiny	.267
152	convnext_base_imagenet_full_seed-0	.267
153	convnext_tiny:in12k_ft_in1k	.267
154	resnet_50_v2	.267
155	ReAlnet02	.242
156	resnet_101_v2	.242
157	yudixie_resnet50_distance_translation_0_240908	.242
158	resnet50-barlow	.242
159	deit_small_imagenet_1_seed-0	.242
160	pnasnet_large	.242
161	ReAlnet06_cornet	.242
162	ReAlnet06	.242
163	resnet50_imagenet_full	.242
164	ReAlnet02_cornet	.242
165	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.242
166	alexnet_training_seed_03	.226
167	resnet_50_v1_spiking_l3	.205
168	voneresnet-50-non_stochastic	.199
169	resnet101_imagenet_full	.199
170	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.199
171	convnext_large_imagenet_full_seed-0	.181
172	ReAlnet09_cornet	.164
173	voneresnet-50	.164
174	resnet-50-robust	.164
175	cvt_cvt-13-224-in1k_4_LucyV4	.164
176	resnet50-SIN_IN	.164
177	yudixie_resnet50_distance_translation_rotation_0_240908	.164
178	ReAlnet09	.164
179	nasnet_large	.164
180	resnet101_ecoset_full	.149
181	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.149
182	ReAlnet05_cornet	.135
183	ReAlnet05	.135
184	vit_large_patch14_clip_336:laion2b_ft_in1k	.135
185	convnext_small_imagenet_1_seed-0	.126
186	vgg_19	.122
187	vit_large_patch14_clip_224:laion2b_ft_in1k	.122
188	voneresnet-50-robust	.111
189	yudixie_resnet18_imagenet1kpret_0_240719	.111
190	convnext_small_imagenet_100_seed-0	.111
191	ReAlnet01	.083
192	ReAlnet01_cornet	.083
193	convnext_large:fb_in22k_ft_in1k	.068
194	resnext101_32x8d_wsl	.068
195	convnext_base:clip_laiona_augreg_ft_in1k_384	.068
196	ReAlnet03_cornet	.062
197	ReAlnet03	.062
198	ReAlnet10	.051
199	ReAlnet10_cornet	.051
200	ReAlnet08_cornet	.046
201	ReAlnet08	.046
202	resnet34_ecoset_full	.046
203	ReAlnet07_cornet	.042
204	ReAlnet07	.042
205	convnext_tiny_imagenet_full_seed-0	.034
206	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.031
207	ReAlnet04	.016
208	ReAlnet04_cornet	.016
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

0.81.

Note that scores are relative to this ceiling.

Data: Ferguson2024llh

Metric: value_delta