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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	mehrer2020_alexnet_training_seed_01_fov4	1.0
2	mehrer2020_alexnet_training_seed_01_fov12	1.0
3	alexnet_training_seed_10	1.0
4	alexnet_training_seed_06	1.0
5	alexnet_training_seed_09	1.0
6	mobilenet_v2_1_0_128	1.0
7	resnet50-SIN_IN_IN	1.0
8	vit_large_patch14_clip_224:openai_ft_in1k	1.0
9	convnext_xxlarge:clip_laion2b_soup_ft_in1k	1.0
10	convnext_femto_ols:d1_in1k	1.0
11	deit_small_imagenet_10_seed-0	1.0
12	deit_base_imagenet_full_seed-0	1.0
13	efficientnet_b1_imagenet_full	1.0
14	resnet50_imagenet_100_seed-0	1.0
15	ViT_L_32_imagenet1k	1.0
16	mehrer2020_alexnet_training_seed_07	1.0
17	mehrer2020_alexnet_training_seed_02	1.0
18	dinov2_vitl14_reg_lc	1.0
19	alexnet_training_seed_01_fov16	1.0
20	alexnet_fov4	1.0
21	resnet_50_v1_spiking_l4a	1.0
22	eicircuit_resnet18_bn_20260919	1.0
23	xception	1.0
24	alexnet_training_seed_02	1.0
25	resnet50-moclr8deg	1.0
26	mobilenet_v2_1_0_160	1.0
27	resnet-152_v2_pytorch	1.0
28	resnext101_32x16d_wsl	1.0
29	dinov2_vitl14_lc_res336	1.0
30	yudixie_resnet50_object_class_0_240908	1.0
31	alexnet_training_seed_01	1.0
32	mobilenet_v2_1_0_192	1.0
33	efficientnet-b7	1.0
34	vit_relpos_base_patch16_clsgap_224:sw_in1k	1.0
35	resnet50_tutorial	1.0
36	resnet152_imagenet_full	1.0
37	resnet34_imagenet_full	1.0
38	cvt_cvt-w24-384-in22k_finetuned-in1k_4	1.0
39	dinov2_vitg14_reg_lc	1.0
40	vit_base_patch14_dinov2-lvd142m	1.0
41	compact_resnet50_robust_V4	1.0
42	resnet_50_v1_spiking	1.0
43	vgg_16	1.0
44	efficientnet_b0_imagenet_full	1.0
45	cvt_cvt-13-384-in1k_4_LucyV4	1.0
46	resnet50_simclr_linhead_01norm	.979
47	AdvProp_efficientnet-b8	.979
48	cvt_cvt-21-224-in1k_4_LucyV4	.979
49	resnet50_st_wzc_seed7_2_323	.951
50	gabor_filter_entropy_4x4_v2	.951
51	gabor_filter_entropy_4x4	.951
52	vonegrcnn_52e_full	.951
53	AdvProp_efficientnet-b4	.951
54	antialiased-r50	.951
55	blt_vs	.951
56	yudixie_resnet18_category_class_0_240719	.951
57	resnet152_ecoset_full	.951
58	pnasnet_large_pytorch	.951
59	alexnet_training_seed_01_fov4	.888
60	mobilenet_v2_1_0_224	.888
61	mobilenet_v2_0_5_224	.888
62	BiT-S-R50x1	.888
63	BiT-S-R50x3	.888
64	AdvProp_efficientnet-b7	.888
65	yudixie_resnet18_distance_rotation_0_240719	.888
66	mehrer2020_alexnet_training_seed_05	.862
67	dinov2_vitl14_lc	.862
68	yudixie_resnet50_imagenet1kpret_0_240908	.862
69	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.862
70	AT_efficientnet-b2	.862
71	AdvProp_efficientnet-b2	.862
72	yudixie_resnet18_distance_translation_0_240719	.862
73	efficientnet_b2_imagenet_full	.862
74	focalnet_tiny_lrf_in1k	.862
75	yudixie_wbh_object_class_scaling_0415_run_0	.805
76	predictive_coding_pc	.805
77	resnet18_fair	.805
78	resnet50_primary_visual_cortex	.805
79	mobilenet_v2_0_75_224	.805
80	inception_v1	.805
81	yudixie_resnet18_object_class_0_240719	.805
82	deit_small_imagenet_100_seed-0	.805
83	resnet18_ecoset_full	.805
84	alexnet	.805
85	resnext101_32x32d_wsl	.805
86	resnet50_st_wzc_seed3_2_323	.782
87	resnet50_ewconplus_wzc_seed5_2__323	.782
88	ReAlnet01_cornet_fov4	.782
89	vit_huge_clip336_laion	.782
90	resnet50_robust_l2_eps1	.782
91	resnet50-vicregl0p9	.782
92	BiT-S-R152x4	.782
93	artResNet18_1	.782
94	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.782
95	resnet18_imagenet_full	.782
96	ReAlnet01_cornet_fov16	.730
97	mobilenet_v2_0_75_192	.730
98	inception_v3	.730
99	omnivore_swinB	.730
100	yudixie_resnet18_rotation_reg_0_240719	.730
101	resnet50_imagenet_1_seed-0	.730
102	resnet50_barlowtwins_linhead	.709
103	resnet50-vitoimagevidnet8	.709
104	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.709
105	omnivore_swinS	.709
106	efficientnet_b0	.709
107	resnet50-VITO-8deg-cc	.709
108	BiT-S-R101x1	.709
109	convnext_tiny_sup	.709
110	yudixie_resnet18_translation_rotation_0_240719	.709
111	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.709
112	resnext101_32x48d_wsl	.709
113	hmax	.709
114	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3	.662
115	mobilenet_v2_1_3_224	.662
116	resnet_SIN_IN_FT_IN	.662
117	mehrer2020_alexnet_training_seed_06	.643
118	yudixie_wbh_object_class_scaling_0415_imagenet	.643
119	alexnet_training_seed_01_fov12	.643
120	alexnet_fov16	.643
121	ReAlnet01_ALL	.643
122	resnet_101_v1	.643
123	mobilenet_v2_0_5_192	.643
124	convnext_xlarge:fb_in22k_ft_in1k	.643
125	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.643
126	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.643
127	yudixie_resnet18_random_0_240719	.643
128	convnext_large_in22k_supervised	.601
129	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	.601
130	AlexNet_SIN_fov12	.601
131	compact_vgg19_IT	.601
132	alexnet_training_seed_05	.601
133	BiT-S-R152x2	.601
134	yudixie_wbh_object_class_scaling_0415_run_2	.583
135	deit3_base_patch16_224_fb_in1k	.583
136	vit_base_patch16_dinov3-lvd1689m	.583
137	AlexNet_SIN_fov4	.583
138	gabor_filter_entropy_4x4_v2_forcedCosine	.583
139	alexnet_training_seed_08	.583
140	resnet_152_v1	.583
141	inception_v4	.583
142	yudixie_resnet50_translation_reg_0_240908	.583
143	shufflenet_v2_x1_0	.583
144	VOneCORnet-S	.583
145	densenet-169	.583
146	BiT-S-R101x3	.583
147	yudixie_wbh_object_class_scaling_0415_run_1	.545
148	convnext_base_fb_in22k_ft_in1k	.545
149	AdvProp_efficientnet-b6	.545
150	mehrer2020_alexnet_training_seed_08	.529
151	ReAlnet01_cornet_fov12	.529
152	AlexNet_SIN	.529
153	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.529
154	yudixie_resnet50_distance_reg_0_240908	.529
155	mobilenet_v2_1_4_224	.529
156	mobilenet_v2_0_75_160	.529
157	vonegrcnn_62e_nobn	.529
158	resnet50-vicreg	.529
159	resnet-18_test_m	.529
160	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.529
161	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.529
162	resnet50-vicregl0p75	.529
163	vonegrcnn_47e	.529
164	yudixie_resnet18_distance_translation_rotation_0_240719	.529
165	mobilenet_v2_1-4_224_pytorch	.529
166	yudixie_wbh_object_class_scaling_0415_run_3	.494
167	alexnet_training_seed_04	.494
168	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.494
169	ijepa_vith14_linhead	.480
170	mehrer2020_alexnet_training_seed_10	.480
171	dinov2_vitl14_reg_lc_featread	.480
172	deit3_base_patch16_224_fb_in22k_ft_in1k	.480
173	resnet_50_v1	.480
174	densenet-201	.480
175	resnet50-sup	.480
176	yudixie_resnet50_translation_rotation_0_240908	.448
177	yudixie_resnet18_distance_reg_0_240719	.448
178	resnet50_ewconplus_wzc	.435
179	compact_resnet50_IT	.435
180	ReAlnet02_ALL	.435
181	yudixie_resnet50_category_class_0_240908	.435
182	nasnet_mobile	.435
183	grcnn	.435
184	cvt_cvt-21-384-in1k_4_LucyV4	.435
185	resnet50_ecoset_full	.435
186	resnet_152_v2	.406
187	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.406
188	convnext_small_imagenet_10_seed-0	.406
189	alexnet_fov12	.395
190	compact_cornets_V4	.395
191	compact_resnet50_V4	.395
192	ReAlnet04_ALL	.395
193	convnext_xxlarge_clip	.395
194	yudixie_resnet50_distance_rotation_0_240908	.395
195	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.395
196	resnet_50_v1_spiking_l4	.369
197	alexnet_training_seed_07	.369
198	resnet50_imagenet_10_seed-0	.369
199	custom_model_cv_18_dagger_408	.369
200	eva02_large_in22k	.358
201	vit_base_patch14_reg4_dinov2-lvd142m	.358
202	yudixie_resnet50_random_0_240908	.358
203	yudixie_resnet50_rotation_reg_0_240908	.358
204	resnet50-SIN	.358
205	effnetb1_272x240	.358
206	compact_resnet50_robust_IT	.334
207	briaai_rmbg_1_4	.334
208	mehrer2020_alexnet_training_seed_04	.325
209	resnet50_st_wzc_2	.325
210	grcnn_109	.325
211	vit_base_patch16_clip_224:openai_ft_in1k	.325
212	imagenet_l2_3_0	.325
213	resnet50_robust_l2_eps3	.325
214	deit_small_imagenet_full_seed-0	.325
215	gabor_filter_mean_abs_4x4_v2	.303
216	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.303
217	convnext_large_clip_laion2b_finelayers	.294
218	resnet50_ewconplus_wzc_seed6_2_323	.294
219	seresnext50_32x4d	.294
220	Res2Net50_26w_4s	.294
221	densenet-121	.294
222	yudixie_resnet18_translation_reg_0_240719	.294
223	convnext_small_imagenet_full_seed-0	.294
224	deit_large_imagenet_full_seed-0	.275
225	resnet50_vicreg_linhead	.267
226	AlexNet_SIN_fov16	.267
227	yolos_tiny	.267
228	resnet_50_v2	.267
229	convnext_tiny:in12k_ft_in1k	.267
230	convnext_base_imagenet_full_seed-0	.267
231	dinov2_vitg14_lc	.242
232	pnasnet_large_halfPrecision	.242
233	ReAlnet10_ALL	.242
234	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.242
235	pnasnet_large	.242
236	ReAlnet06_cornet	.242
237	ReAlnet02_cornet	.242
238	resnet_101_v2	.242
239	yudixie_resnet50_distance_translation_0_240908	.242
240	ReAlnet06	.242
241	ReAlnet02	.242
242	resnet50-barlow	.242
243	deit_small_imagenet_1_seed-0	.242
244	resnet50_imagenet_full	.242
245	mehrer2020_alexnet_training_seed_01_fov16	.226
246	alexnet_training_seed_03	.226
247	mehrer2020_alexnet_training_seed_01	.220
248	deepeisnn_ei_cifar10_vgg19	.220
249	ReAlnet06_ALL	.220
250	regnety_032	.220
251	resnet_50_v1_spiking_l3	.205
252	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.199
253	resnet101_imagenet_full	.199
254	voneresnet-50-non_stochastic	.199
255	deepeisnn_ei_imagenet_resnet18	.181
256	deepeisnn_ei_cifar10_resnet18	.181
257	ReAlnet09_ALL	.181
258	ReAlnet07_ALL	.181
259	convnext_large_imagenet_full_seed-0	.181
260	yudixie_resnet50_distance_translation_rotation_0_240908	.164
261	ReAlnet09_cornet	.164
262	nasnet_large	.164
263	ReAlnet09	.164
264	voneresnet-50	.164
265	resnet50-SIN_IN	.164
266	cvt_cvt-13-224-in1k_4_LucyV4	.164
267	resnet-50-robust	.164
268	resnet50_simsiam_linhead	.149
269	convnext_base_fb_in1k_gram_aligned_dinov3	.149
270	resnet101_ecoset_full	.149
271	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.149
272	mehrer2020_alexnet_training_seed_03	.135
273	compact_cornets_IT	.135
274	ReAlnet05_cornet	.135
275	ReAlnet05	.135
276	vit_large_patch14_clip_336:laion2b_ft_in1k	.135
277	convnext_small_imagenet_1_seed-0	.126
278	vgg_19	.122
279	vit_large_patch14_clip_224:laion2b_ft_in1k	.122
280	voneresnet-50-robust	.111
281	convnext_small_imagenet_100_seed-0	.111
282	yudixie_resnet18_imagenet1kpret_0_240719	.111
283	compact_vgg19_V4	.101
284	ReAlnet08_ALL	.101
285	ReAlnet05_ALL	.101
286	convnext_base_fb_in1k	.091
287	resnet50_byol_linhead	.091
288	mehrer2020_alexnet_training_seed_09	.083
289	ReAlnet01_cornet	.083
290	ReAlnet01	.083
291	ReAlnet03_ALL	.075
292	cv_18_dagger_408_pretrained	.068
293	convnext_base:clip_laiona_augreg_ft_in1k_384	.068
294	convnext_large:fb_in22k_ft_in1k	.068
295	resnext101_32x8d_wsl	.068
296	ReAlnet03_cornet	.062
297	ReAlnet03	.062
298	ReAlnet10_cornet	.051
299	ReAlnet10	.051
300	ReAlnet08_cornet	.046
301	ReAlnet08	.046
302	resnet34_ecoset_full	.046
303	ReAlnet07_cornet	.042
304	ReAlnet07	.042
305	convnext_tiny_imagenet_full_seed-0	.034
306	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.031
307	resnet50_hvs_wzc	.023
308	ReAlnet04_cornet	.016
309	ReAlnet04	.016
310	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3
311	vit_large_clip336_openai

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