Leaderboard Explore Compare Profile Community Blog FAQ Competition 2024 Report Issue

Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("Ferguson2024eighth-value_delta")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	resnet_50_v1_spiking_l4	1.0
2	vit_relpos_base_patch16_clsgap_224:sw_in1k	1.0
3	compact_resnet50_robust_IT	1.0
4	vit_large_patch14_clip_336:laion2b_ft_in1k	1.0
5	compact_vgg19_V4	1.0
6	densenet-121	1.0
7	alexnet_training_seed_05	.974
8	resnext101_32x32d_wsl	.974
9	yudixie_resnet50_translation_reg_0_240908	.974
10	compact_cornets_V4	.974
11	convnext_large:fb_in22k_ft_in1k	.951
12	mobilenet_v2_0_75_224	.882
13	vit_base_patch16_clip_224:openai_ft_in1k	.882
14	alexnet_training_seed_01	.882
15	yudixie_resnet18_category_class_0_240719	.882
16	omnivore_swinS	.882
17	AdvProp_efficientnet-b4	.882
18	resnet_SIN_IN_FT_IN	.882
19	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.861
20	resnext101_32x8d_wsl	.799
21	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.780
22	mobilenet_v2_1_0_192	.723
23	cvt_cvt-13-224-in1k_4_LucyV4	.723
24	deit_small_imagenet_10_seed-0	.723
25	convnext_xlarge:fb_in22k_ft_in1k	.706
26	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.655
27	mobilenet_v2_1_0_160	.655
28	focalnet_tiny_lrf_in1k	.655
29	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.655
30	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.655
31	BiT-S-R152x2	.655
32	cvt_cvt-21-224-in1k_4_LucyV4	.593
33	resnet152_ecoset_full	.593
34	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.579
35	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.537
36	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.537
37	ReAlnet05_ALL	.537
38	omnivore_swinB	.524
39	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.486
40	resnet_50_v1_spiking	.486
41	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.486
42	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.486
43	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.486
44	effnetb1_272x240	.486
45	yudixie_resnet18_distance_translation_rotation_0_240719	.486
46	nasnet_large	.486
47	cvt_cvt-21-384-in1k_4_LucyV4	.475
48	custom_model_cv_18_dagger_408	.440
49	compact_resnet50_V4	.440
50	compact_resnet50_IT	.440
51	compact_resnet50_robust_V4	.440
52	compact_cornets_IT	.440
53	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.399
54	convnext_small_imagenet_1_seed-0	.399
55	yudixie_resnet18_imagenet1kpret_0_240719	.399
56	ReAlnet03_ALL	.399
57	densenet-169	.399
58	vit_large_patch14_clip_224:laion2b_ft_in1k	.361
59	vit_large_patch14_clip_224:openai_ft_in1k	.361
60	yudixie_resnet50_distance_reg_0_240908	.361
61	AdvProp_efficientnet-b6	.361
62	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.361
63	resnext101_32x48d_wsl	.361
64	resnet18_ecoset_full	.361
65	AdvProp_efficientnet-b2	.361
66	BiT-S-R50x3	.361
67	AT_efficientnet-b2	.361
68	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.327
69	deit_small_imagenet_full_seed-0	.327
70	convnext_small_imagenet_10_seed-0	.327
71	deit_large_imagenet_full_seed-0	.327
72	resnet-18_test_m	.327
73	yudixie_resnet18_translation_reg_0_240719	.327
74	resnet50_ewconplus_wzc	.296
75	resnet34_ecoset_full	.296
76	convnext_large_imagenet_full_seed-0	.296
77	yudixie_resnet50_distance_rotation_0_240908	.296
78	efficientnet-b7	.296
79	convnext_base:clip_laiona_augreg_ft_in1k_384	.296
80	deit_small_imagenet_1_seed-0	.268
81	mobilenet_v2_1_3_224	.268
82	resnet50-vicregl0p75	.268
83	resnet34_imagenet_full	.243
84	convnext_tiny_sup	.243
85	BiT-S-R152x4	.243
86	resnet50-vicreg	.220
87	resnet_101_v2	.220
88	vonegrcnn_52e_full	.220
89	BiT-S-R101x1	.220
90	mobilenet_v2_0_5_224	.199
91	cvt_cvt-13-384-in1k_4_LucyV4	.199
92	Res2Net50_26w_4s	.199
93	mobilenet_v2_1_0_224	.199
94	ReAlnet04_ALL	.199
95	ReAlnet06_ALL	.199
96	BiT-S-R50x1	.199
97	ReAlnet10_ALL	.180
98	resnet-152_v2_pytorch	.180
99	convnext_base_imagenet_full_seed-0	.180
100	mobilenet_v2_0_75_192	.180
101	resnet50-SIN_IN_IN	.180
102	resnet50_primary_visual_cortex	.180
103	yudixie_resnet18_distance_translation_0_240719	.163
104	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.163
105	ReAlnet08_ALL	.163
106	resnet50_imagenet_full	.148
107	deit_base_imagenet_full_seed-0	.148
108	pnasnet_large_pytorch	.148
109	efficientnet_b2_imagenet_full	.148
110	pnasnet_large	.148
111	resnet_50_v1_spiking_l3	.148
112	ReAlnet01_ALL	.148
113	resnet50-moclr8deg	.148
114	BiT-S-R101x3	.148
115	densenet-201	.134
116	efficientnet_b1_imagenet_full	.134
117	resnet50-SIN	.134
118	ReAlnet02_ALL	.134
119	grcnn	.134
120	voneresnet-50	.134
121	grcnn_109	.134
122	resnet_50_v2	.134
123	yudixie_resnet50_imagenet1kpret_0_240908	.121
124	convnext_small_imagenet_full_seed-0	.121
125	ViT_L_32_imagenet1k	.121
126	resnet152_imagenet_full	.121
127	yudixie_resnet18_translation_rotation_0_240719	.121
128	yudixie_resnet50_rotation_reg_0_240908	.121
129	yudixie_resnet18_object_class_0_240719	.121
130	compact_vgg19_IT	.121
131	artResNet18_1	.121
132	inception_v3	.110
133	convnext_tiny_imagenet_full_seed-0	.110
134	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.110
135	VOneCORnet-S	.110
136	resnet50_imagenet_10_seed-0	.110
137	xception	.110
138	antialiased-r50	.110
139	AdvProp_efficientnet-b8	.110
140	convnext_tiny:in12k_ft_in1k	.099
141	alexnet_training_seed_08	.099
142	deit_small_imagenet_100_seed-0	.099
143	yolos_tiny	.099
144	convnext_small_imagenet_100_seed-0	.099
145	yudixie_resnet18_distance_rotation_0_240719	.099
146	nasnet_mobile	.099
147	vgg_19	.099
148	yudixie_resnet50_distance_translation_rotation_0_240908	.099
149	alexnet_training_seed_09	.099
150	vgg_16	.090
151	alexnet_training_seed_02	.081
152	ReAlnet09	.081
153	mobilenet_v2_0_75_160	.081
154	mobilenet_v2_1-4_224_pytorch	.081
155	shufflenet_v2_x1_0	.081
156	ReAlnet09_cornet	.081
157	efficientnet_b0	.081
158	mobilenet_v2_1_4_224	.081
159	yudixie_resnet50_object_class_0_240908	.081
160	yudixie_resnet18_distance_reg_0_240719	.074
161	ReAlnet08	.067
162	inception_v4	.067
163	ReAlnet04_cornet	.067
164	ReAlnet08_cornet	.067
165	resnet_152_v2	.067
166	ReAlnet04	.067
167	resnet50_tutorial	.060
168	resnet18_imagenet_full	.060
169	resnet101_ecoset_full	.060
170	resnet_152_v1	.060
171	resnet101_imagenet_full	.055
172	resnet50-barlow	.055
173	alexnet_training_seed_03	.055
174	yudixie_resnet50_category_class_0_240908	.050
175	yudixie_resnet18_random_0_240719	.050
176	vonegrcnn_62e_nobn	.050
177	ReAlnet09_ALL	.050
178	yudixie_resnet18_rotation_reg_0_240719	.045
179	ReAlnet06	.041
180	briaai_rmbg_1_4	.041
181	mobilenet_v2_0_5_192	.041
182	ReAlnet06_cornet	.041
183	vonegrcnn_47e	.041
184	ReAlnet07_ALL	.041
185	ReAlnet10	.037
186	resnet_50_v1_spiking_l4a	.037
187	resnet50_imagenet_100_seed-0	.037
188	yudixie_resnet50_distance_translation_0_240908	.037
189	ReAlnet10_cornet	.037
190	AdvProp_efficientnet-b7	.037
191	convnext_femto_ols:d1_in1k	.037
192	alexnet_training_seed_06	.033
193	mobilenet_v2_1_0_128	.033
194	alexnet_training_seed_07	.033
195	inception_v1	.030
196	ReAlnet03	.027
197	resnet50_ecoset_full	.027
198	ReAlnet03_cornet	.027
199	resnet_101_v1	.027
200	resnet50-vicregl0p9	.027
201	resnet-50-robust	.025
202	resnet50-VITO-8deg-cc	.025
203	resnet_50_v1	.025
204	resnet50-vitoimagevidnet8	.025
205	resnet50-sup	.025
206	ReAlnet05	.022
207	ReAlnet05_cornet	.022
208	voneresnet-50-robust	.022
209	blt_vs	.020
210	ReAlnet02_cornet	.020
211	ReAlnet02	.020
212	efficientnet_b0_imagenet_full	.018
213	ReAlnet07	.017
214	resnet50-SIN_IN	.017
215	ReAlnet07_cornet	.017
216	yudixie_resnet50_translation_rotation_0_240908	.017
217	yudixie_resnet50_random_0_240908	.015
218	resnet50_robust_l2_eps1	.014
219	alexnet_training_seed_04	.011
220	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.011
221	alexnet_training_seed_10	.011
222	ReAlnet01_cornet	.010
223	voneresnet-50-non_stochastic	.010
224	ReAlnet01	.010
225	resnet50_robust_l2_eps3	.008
226	imagenet_l2_3_0	.008
227	resnet50_imagenet_1_seed-0	.006
228	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

0.85.

Note that scores are relative to this ceiling.

Data: Ferguson2024eighth

Metric: value_delta