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("Ferguson2024gray_easy-value_delta")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	resnet50_robust_l2_eps1	1.0
2	resnet_101_v2	1.0
3	BiT-S-R50x3	1.0
4	densenet-121	1.0
5	custom_model_cv_18_dagger_408	1.0
6	resnet50-VITO-8deg-cc	.973
7	yudixie_resnet50_translation_rotation_0_240908	.973
8	resnet50-vitoimagevidnet8	.973
9	mobilenet_v2_1_3_224	.973
10	convnext_base_fb_in22k_ft_in1k	.973
11	resnet_50_v1_spiking	.932
12	deepeisnn_ei_cifar10_resnet18	.932
13	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.882
14	cv_18_dagger_408_pretrained	.882
15	alexnet	.882
16	resnet152_imagenet_full	.882
17	deit_small_imagenet_full_seed-0	.882
18	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.882
19	nasnet_large	.882
20	resnet50-moclr8deg	.882
21	BiT-S-R152x2	.882
22	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	.882
23	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.845
24	cvt_cvt-21-384-in1k_4_LucyV4	.845
25	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.845
26	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.845
27	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.845
28	vit_large_patch14_clip_224:openai_ft_in1k	.845
29	vit_large_patch14_clip_336:laion2b_ft_in1k	.845
30	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.845
31	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.845
32	vit_base_patch16_dinov3-lvd1689m	.845
33	ViT_L_32_imagenet1k	.845
34	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.845
35	deit_large_imagenet_full_seed-0	.845
36	cvt_cvt-13-384-in1k_4_LucyV4	.845
37	compact_resnet50_V4	.845
38	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.845
39	deit_base_imagenet_full_seed-0	.845
40	vit_base_patch14_dinov2-lvd142m	.845
41	vit_base_patch16_clip_224:openai_ft_in1k	.845
42	vit_base_patch14_reg4_dinov2-lvd142m	.845
43	vit_large_patch14_clip_224:laion2b_ft_in1k	.845
44	resnet101_ecoset_full	.845
45	vit_relpos_base_patch16_clsgap_224:sw_in1k	.845
46	AdvProp_efficientnet-b7	.845
47	AdvProp_efficientnet-b8	.845
48	BiT-S-R152x4	.845
49	convnext_large:fb_in22k_ft_in1k	.845
50	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.845
51	deit3_base_patch16_224_fb_in1k	.845
52	compact_resnet50_IT	.800
53	compact_vgg19_V4	.800
54	nasnet_mobile	.800
55	BiT-S-R101x3	.800
56	AlexNet_SIN_fov12	.767
57	grcnn	.767
58	vonegrcnn_62e_nobn	.767
59	densenet-169	.767
60	convnext_xlarge:fb_in22k_ft_in1k	.725
61	yudixie_resnet18_translation_reg_0_240719	.725
62	alexnet_training_seed_01_fov4	.725
63	omnivore_swinS	.725
64	resnet_152_v1	.725
65	convnext_tiny:in12k_ft_in1k	.695
66	mobilenet_v2_1_0_128	.695
67	resnet152_ecoset_full	.695
68	AdvProp_efficientnet-b6	.695
69	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.658
70	yudixie_resnet50_random_0_240908	.630
71	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.630
72	resnet-50-robust	.630
73	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.630
74	yudixie_resnet18_distance_translation_0_240719	.630
75	deit_small_imagenet_100_seed-0	.596
76	cvt_cvt-13-224-in1k_4_LucyV4	.596
77	resnet101_imagenet_full	.596
78	yolos_tiny	.572
79	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.572
80	imagenet_l2_3_0	.572
81	resnet50_robust_l2_eps3	.572
82	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.541
83	alexnet_fov12	.541
84	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.541
85	convnext_base:clip_laiona_augreg_ft_in1k_384	.541
86	pnasnet_large_halfPrecision	.518
87	pnasnet_large	.518
88	resnet50-barlow	.518
89	mobilenet_v2_1_4_224	.518
90	resnet-152_v2_pytorch	.518
91	focalnet_tiny_lrf_in1k	.518
92	mobilenet_v2_1-4_224_pytorch	.518
93	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.518
94	alexnet_training_seed_01	.490
95	compact_cornets_IT	.490
96	resnet50-vicregl0p75	.490
97	resnet50_imagenet_full	.470
98	cvt_cvt-21-224-in1k_4_LucyV4	.470
99	effnetb1_272x240	.470
100	resnet34_ecoset_full	.470
101	resnet50_ecoset_full	.470
102	BiT-S-R101x1	.470
103	resnet_101_v1	.470
104	BiT-S-R50x1	.470
105	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3	.470
106	resnext101_32x8d_wsl	.445
107	alexnet_training_seed_10	.445
108	alexnet_fov16	.445
109	compact_vgg19_IT	.445
110	blt_vs	.426
111	ReAlnet09	.426
112	ReAlnet10	.426
113	pnasnet_large_pytorch	.426
114	yudixie_resnet18_random_0_240719	.426
115	resnet50-vicreg	.426
116	AlexNet_SIN_fov16	.426
117	ReAlnet09_cornet	.426
118	ReAlnet10_cornet	.426
119	resnext101_32x32d_wsl	.403
120	resnext101_32x48d_wsl	.403
121	yudixie_wbh_object_class_scaling_0415_run_2	.403
122	deepeisnn_ei_cifar10_vgg19	.403
123	resnet_50_v1_spiking_l4	.387
124	mobilenet_v2_1_0_192	.387
125	pr1_stl10_disentangled_alpha04	.387
126	ReAlnet07_ALL	.351
127	resnet_SIN_IN_FT_IN	.351
128	alexnet_training_seed_09	.332
129	alexnet_training_seed_07	.332
130	xception	.332
131	ReAlnet01_cornet_fov16	.332
132	ReAlnet07	.318
133	inception_v3	.318
134	convnext_small_imagenet_1_seed-0	.318
135	ReAlnet01_cornet_fov12	.318
136	ReAlnet07_cornet	.318
137	voneresnet-50-robust	.318
138	compact_resnet50_robust_V4	.301
139	deepeisnn_ei_imagenet_resnet18	.301
140	AlexNet_SIN	.288
141	yudixie_resnet50_distance_rotation_0_240908	.288
142	yudixie_resnet18_rotation_reg_0_240719	.288
143	yudixie_resnet18_distance_reg_0_240719	.288
144	artResNet18_1	.288
145	antialiased-r50	.288
146	vonegrcnn_52e_full	.288
147	ReAlnet05	.261
148	ReAlnet05_cornet	.261
149	yudixie_resnet18_distance_translation_rotation_0_240719	.261
150	ReAlnet01_ALL	.261
151	resnet_50_v1_spiking_l3	.261
152	resnet50_ewconplus_wzc_seed7_2_323	.261
153	alexnet_training_seed_02	.247
154	omnivore_swinB	.247
155	densenet-201	.237
156	resnet50_imagenet_100_seed-0	.237
157	convnext_large_imagenet_full_seed-0	.237
158	resnet50_imagenet_1_seed-0	.237
159	efficientnet_b0	.237
160	ReAlnet10_ALL	.237
161	yudixie_wbh_object_class_scaling_0415_imagenet	.237
162	resnet34_imagenet_full	.215
163	efficientnet_b2_imagenet_full	.215
164	yudixie_resnet50_rotation_reg_0_240908	.215
165	vonegrcnn_47e	.215
166	resnet50_ewconplus_noseed_2_323	.215
167	aughost_fair_resnet18	.203
168	alexnet_training_seed_01_fov16	.203
169	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.195
170	ReAlnet02_ALL	.195
171	convnext_femto_ols:d1_in1k	.195
172	resnet_50_v2	.195
173	resnet50_st_wzc_seed3_2_323	.195
174	alexnet_training_seed_05	.184
175	compact_resnet50_robust_IT	.184
176	yudixie_wbh_object_class_scaling_0415_run_0	.184
177	mobilenet_v2_0_5_224	.177
178	mobilenet_v2_0_75_160	.177
179	efficientnet-b7	.177
180	AlexNet_SIN_fov4	.177
181	ReAlnet03_ALL	.177
182	alexnet_fov4	.160
183	convnext_small_imagenet_full_seed-0	.160
184	ReAlnet01_cornet	.160
185	resnet18_imagenet_full	.160
186	ReAlnet01_cornet_fov4	.160
187	grcnn_109	.160
188	ReAlnet01	.160
189	resnet_152_v2	.160
190	resnet50_primary_visual_cortex	.160
191	deit_small_imagenet_10_seed-0	.152
192	compact_cornets_V4	.152
193	alexnet_training_seed_03	.152
194	ReAlnet02_cornet	.145
195	ReAlnet02	.145
196	resnet50-vicregl0p9	.145
197	resnet18_fair	.145
198	hmax	.138
199	yudixie_wbh_object_class_scaling_0415_run_1	.138
200	ReAlnet04_cornet	.132
201	ReAlnet04	.132
202	resnet50_st_wzc_2_323	.132
203	resnet50_st_wzc_seed4_2_323	.132
204	alexnet_training_seed_08	.125
205	yudixie_resnet50_category_class_0_240908	.120
206	resnet_50_v1_spiking_l4a	.120
207	yudixie_resnet18_distance_rotation_0_240719	.120
208	deit_small_imagenet_1_seed-0	.120
209	ReAlnet04_ALL	.120
210	alexnet_training_seed_01_fov12	.113
211	yudixie_wbh_object_class_scaling_0415_run_3	.113
212	convnext_small_imagenet_10_seed-0	.108
213	convnext_base_imagenet_full_seed-0	.108
214	resnet50-SIN_IN_IN	.108
215	Res2Net50_26w_4s	.108
216	ReAlnet05_ALL	.108
217	resnet50_st_wzc_seed6_2_323	.108
218	briaai_rmbg_1_4	.103
219	ReAlnet03	.098
220	ReAlnet03_cornet	.098
221	inception_v4	.098
222	yudixie_resnet18_translation_rotation_0_240719	.098
223	ReAlnet06_ALL	.098
224	resnet50_imagenet_10_seed-0	.089
225	mobilenet_v2_0_5_192	.089
226	yudixie_resnet50_translation_reg_0_240908	.089
227	yudixie_resnet18_object_class_0_240719	.089
228	AdvProp_efficientnet-b2	.089
229	AT_efficientnet-b2	.089
230	resnet50_st_wzc_seed5_2_323	.081
231	resnet50_tutorial	.081
232	resnet18_ecoset_full	.081
233	resnet-18_test_m	.081
234	alexnet_training_seed_04	.076
235	resnet50_ewconplus_wzc	.073
236	ReAlnet08	.073
237	resnet50-SIN_IN	.073
238	resnet50-SIN	.073
239	yudixie_resnet50_distance_translation_0_240908	.073
240	shufflenet_v2_x1_0	.073
241	ReAlnet08_cornet	.073
242	vgg_19	.073
243	ReAlnet08_ALL	.073
244	ReAlnet09_ALL	.073
245	resnet50_st_wzc_seed7_2_323	.073
246	resnet50_ewconplus_wzc_seed5_2__323	.073
247	convnext_tiny_imagenet_full_seed-0	.066
248	voneresnet-50	.066
249	yudixie_resnet50_distance_translation_rotation_0_240908	.066
250	convnext_base_fb_in1k	.066
251	yudixie_resnet50_imagenet1kpret_0_240908	.060
252	ReAlnet06	.060
253	yudixie_resnet50_object_class_0_240908	.060
254	resnet50_st_wzc_2	.060
255	VOneCORnet-S	.060
256	ReAlnet06_cornet	.060
257	vgg_16	.060
258	convnext_tiny_sup	.060
259	convnext_base_fb_in1k_gram_aligned_dinov3	.060
260	mobilenet_v2_0_75_224	.055
261	yudixie_resnet50_distance_reg_0_240908	.055
262	convnext_small_imagenet_100_seed-0	.055
263	yudixie_resnet18_imagenet1kpret_0_240719	.055
264	predictive_coding_pc	.055
265	alexnet_training_seed_06	.052
266	mobilenet_v2_1_0_160	.050
267	yudixie_resnet18_category_class_0_240719	.050
268	voneresnet-50-non_stochastic	.050
269	efficientnet_b1_imagenet_full	.041
270	efficientnet_b0_imagenet_full	.041
271	inception_v1	.041
272	mobilenet_v2_1_0_224	.037
273	resnet50_ewconplus_wzc_seed6_2_323	.037
274	resnet50_ewconplus_wzc_2_323	.037
275	resnet_50_v1	.034
276	resnet50-sup	.034
277	AdvProp_efficientnet-b4	.028
278	mobilenet_v2_0_75_192	.025
279	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.019
280	resnet50_st_wzc_noseed_2_323	.010

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

0.91.

Note that scores are relative to this ceiling.

Data: Ferguson2024gray_easy

Metric: value_delta