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("Ferguson2024half-value_delta")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	cvt_cvt-13-384-in1k_4_LucyV4	1.0
2	cv_18_dagger_408_pretrained	1.0
3	swin_small_patch4_window7_224:ms_in22k_ft_in1k	1.0
4	efficientnet_b0_imagenet_full	1.0
5	resnext101_32x32d_wsl	1.0
6	mobilenet_v2_0_75_192	1.0
7	compact_resnet50_V4	1.0
8	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	1.0
9	yudixie_resnet18_random_0_240719	1.0
10	resnet_152_v2	1.0
11	ReAlnet05	1.0
12	yudixie_resnet50_random_0_240908	1.0
13	yudixie_resnet50_imagenet1kpret_0_240908	1.0
14	alexnet_training_seed_05	1.0
15	resnet18_ecoset_full	1.0
16	yudixie_resnet50_distance_reg_0_240908	1.0
17	mobilenet_v2_0_5_224	1.0
18	resnet18_imagenet_full	1.0
19	alexnet_training_seed_07	1.0
20	resnet50_imagenet_1_seed-0	1.0
21	ReAlnet05_cornet	1.0
22	yudixie_resnet18_rotation_reg_0_240719	1.0
23	artResNet18_1	1.0
24	convnext_tiny_sup	1.0
25	resnet50_tutorial	.975
26	convnext_base_imagenet_full_seed-0	.975
27	inception_v4	.975
28	resnext101_32x8d_wsl	.975
29	effnetb1_272x240	.975
30	resnet-152_v2_pytorch	.975
31	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.942
32	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.942
33	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.942
34	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.942
35	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.942
36	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.942
37	nasnet_mobile	.942
38	vonegrcnn_47e	.942
39	vonegrcnn_52e_full	.942
40	convnext_small_imagenet_1_seed-0	.882
41	convnext_small_imagenet_10_seed-0	.882
42	AlexNet_SIN_fov4	.882
43	resnet34_imagenet_full	.852
44	resnet_50_v1_spiking_l4a	.852
45	alexnet_training_seed_04	.852
46	resnet152_ecoset_full	.852
47	resnet50-barlow	.852
48	BiT-S-R152x4	.852
49	voneresnet-50-non_stochastic	.798
50	focalnet_tiny_lrf_in1k	.798
51	efficientnet-b7	.798
52	resnet_50_v1_spiking_l3	.798
53	AdvProp_efficientnet-b8	.798
54	convnext_xlarge:fb_in22k_ft_in1k	.771
55	vit_large_patch14_clip_224:openai_ft_in1k	.771
56	vit_large_patch14_clip_336:laion2b_ft_in1k	.771
57	resnext101_32x48d_wsl	.771
58	ViT_L_32_imagenet1k	.771
59	yudixie_resnet18_category_class_0_240719	.771
60	efficientnet_b0	.771
61	grcnn	.771
62	voneresnet-50-robust	.771
63	AdvProp_efficientnet-b4	.771
64	AdvProp_efficientnet-b2	.771
65	AT_efficientnet-b2	.771
66	vit_base_patch16_clip_224:openai_ft_in1k	.771
67	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.722
68	yudixie_resnet50_category_class_0_240908	.722
69	mobilenet_v2_0_5_192	.722
70	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.722
71	yudixie_resnet18_translation_reg_0_240719	.722
72	AlexNet_SIN_fov16	.722
73	AdvProp_efficientnet-b7	.722
74	ReAlnet07	.698
75	vit_large_patch14_clip_224:laion2b_ft_in1k	.698
76	Res2Net50_26w_4s	.698
77	deit_small_imagenet_1_seed-0	.698
78	ReAlnet07_cornet	.698
79	vgg_16	.698
80	omnivore_swinB	.698
81	BiT-S-R101x3	.698
82	densenet-121	.698
83	mobilenet_v2_1_0_160	.653
84	compact_resnet50_IT	.653
85	compact_cornets_V4	.653
86	yudixie_resnet50_object_class_0_240908	.631
87	convnext_large:fb_in22k_ft_in1k	.631
88	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.631
89	convnext_tiny_imagenet_full_seed-0	.631
90	alexnet_fov16	.631
91	yudixie_resnet18_translation_rotation_0_240719	.631
92	yudixie_resnet18_distance_translation_rotation_0_240719	.631
93	compact_vgg19_IT	.631
94	yudixie_resnet18_imagenet1kpret_0_240719	.631
95	ReAlnet01_cornet_fov16	.631
96	alexnet_training_seed_09	.591
97	mobilenet_v2_0_75_160	.591
98	briaai_rmbg_1_4	.591
99	alexnet_training_seed_10	.591
100	resnet50-SIN_IN	.591
101	compact_resnet50_robust_IT	.591
102	inception_v1	.591
103	resnet_152_v1	.571
104	resnet_50_v1_spiking	.571
105	convnext_tiny:in12k_ft_in1k	.571
106	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.571
107	mobilenet_v2_1_0_192	.571
108	pnasnet_large_pytorch	.571
109	ReAlnet02_cornet	.571
110	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.571
111	ReAlnet01_cornet_fov4	.571
112	yudixie_resnet18_distance_rotation_0_240719	.571
113	resnet50_robust_l2_eps1	.571
114	vonegrcnn_62e_nobn	.571
115	BiT-S-R50x3	.571
116	ReAlnet02	.571
117	BiT-S-R50x1	.571
118	VOneCORnet-S	.535
119	mobilenet_v2_1_3_224	.535
120	resnet50-vicregl0p9	.535
121	cvt_cvt-21-384-in1k_4_LucyV4	.517
122	alexnet_training_seed_06	.517
123	vit_relpos_base_patch16_clsgap_224:sw_in1k	.517
124	resnet50_ecoset_full	.517
125	alexnet_fov12	.517
126	shufflenet_v2_x1_0	.517
127	resnet50-vicreg	.517
128	vgg_19	.517
129	voneresnet-50	.517
130	hmax	.517
131	resnet50_imagenet_full	.484
132	yudixie_resnet18_distance_translation_0_240719	.484
133	nasnet_large	.484
134	compact_cornets_IT	.484
135	alexnet_training_seed_01_fov16	.484
136	alexnet_training_seed_03	.467
137	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.467
138	deit_small_imagenet_10_seed-0	.467
139	deit_large_imagenet_full_seed-0	.467
140	resnet50_imagenet_100_seed-0	.467
141	ReAlnet01_cornet_fov12	.467
142	compact_resnet50_robust_V4	.438
143	resnet_101_v2	.438
144	deit_base_imagenet_full_seed-0	.423
145	densenet-201	.423
146	mobilenet_v2_1-4_224_pytorch	.423
147	yolos_tiny	.423
148	mobilenet_v2_1_4_224	.423
149	grcnn_109	.423
150	antialiased-r50	.423
151	resnet_SIN_IN_FT_IN	.423
152	alexnet_training_seed_01	.396
153	inception_v3	.383
154	ReAlnet08	.383
155	cvt_cvt-13-224-in1k_4_LucyV4	.383
156	convnext_large_imagenet_full_seed-0	.383
157	resnet-50-robust	.383
158	mobilenet_v2_1_0_224	.383
159	ReAlnet08_cornet	.383
160	omnivore_swinS	.383
161	convnext_base:clip_laiona_augreg_ft_in1k_384	.383
162	mobilenet_v2_0_75_224	.358
163	resnet50-vicregl0p75	.358
164	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.346
165	efficientnet_b2_imagenet_full	.346
166	cvt_cvt-21-224-in1k_4_LucyV4	.346
167	convnext_femto_ols:d1_in1k	.346
168	custom_model_cv_18_dagger_408	.324
169	resnet50-SIN	.324
170	resnet_50_v1	.324
171	resnet50-sup	.324
172	densenet-169	.324
173	yudixie_resnet50_distance_translation_rotation_0_240908	.313
174	convnext_small_imagenet_full_seed-0	.313
175	convnext_small_imagenet_100_seed-0	.313
176	resnet50-SIN_IN_IN	.313
177	ReAlnet07_ALL	.313
178	BiT-S-R101x1	.313
179	compact_vgg19_V4	.293
180	alexnet_training_seed_01_fov12	.293
181	ReAlnet09	.283
182	resnet101_ecoset_full	.283
183	mobilenet_v2_1_0_128	.283
184	blt_vs	.283
185	resnet-18_test_m	.283
186	yudixie_resnet18_object_class_0_240719	.283
187	yudixie_resnet50_rotation_reg_0_240908	.283
188	resnet50-vitoimagevidnet8	.283
189	ReAlnet09_cornet	.283
190	resnet50-VITO-8deg-cc	.283
191	ReAlnet01_cornet	.256
192	yudixie_resnet50_distance_translation_0_240908	.256
193	ReAlnet01	.256
194	alexnet_fov4	.240
195	BiT-S-R152x2	.240
196	AlexNet_SIN	.232
197	yudixie_resnet50_distance_rotation_0_240908	.232
198	ReAlnet05_ALL	.232
199	ReAlnet08_ALL	.232
200	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.232
201	resnet_50_v1_spiking_l4	.217
202	resnet101_imagenet_full	.217
203	AdvProp_efficientnet-b6	.210
204	resnet152_imagenet_full	.196
205	alexnet_training_seed_01_fov4	.196
206	ReAlnet10_ALL	.190
207	resnet_50_v2	.172
208	ReAlnet06	.172
209	ReAlnet10	.172
210	resnet34_ecoset_full	.172
211	yudixie_resnet50_translation_reg_0_240908	.172
212	ReAlnet06_cornet	.172
213	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.172
214	ReAlnet10_cornet	.172
215	ReAlnet03	.155
216	ReAlnet03_cornet	.155
217	resnet50_imagenet_10_seed-0	.155
218	yudixie_resnet18_distance_reg_0_240719	.155
219	ReAlnet02_ALL	.155
220	resnet_101_v1	.155
221	ReAlnet09_ALL	.155
222	alexnet_training_seed_08	.145
223	deit_small_imagenet_100_seed-0	.141
224	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.141
225	resnet50_ewconplus_wzc	.132
226	ReAlnet04_cornet	.127
227	ReAlnet04	.127
228	efficientnet_b1_imagenet_full	.115
229	xception	.115
230	ReAlnet04_ALL	.115
231	resnet50_robust_l2_eps3	.115
232	imagenet_l2_3_0	.115
233	yudixie_resnet50_translation_rotation_0_240908	.108
234	alexnet_training_seed_02	.104
235	resnet50-moclr8deg	.104
236	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.094
237	ReAlnet06_ALL	.094
238	AlexNet_SIN_fov12	.085
239	deit_small_imagenet_full_seed-0	.077
240	ReAlnet01_ALL	.077
241	ReAlnet03_ALL	.077
242	resnet50_primary_visual_cortex	.072
243	pnasnet_large

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

0.90.

Note that scores are relative to this ceiling.

Data: Ferguson2024half

Metric: value_delta