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Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("Ferguson2024round_f-value_delta")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	resnet50_simclr_linhead_01norm	1.0
2	mehrer2020_alexnet_training_seed_04	1.0
3	mehrer2020_alexnet_training_seed_02	1.0
4	alexnet_training_seed_01	1.0
5	yudixie_resnet50_translation_reg_0_240908	1.0
6	resnet50-vicreg	1.0
7	resnet-18_test_m	1.0
8	convnext_tiny:in12k_ft_in1k	1.0
9	convnext_small_imagenet_10_seed-0	1.0
10	yudixie_resnet18_translation_rotation_0_240719	1.0
11	alexnet_training_seed_01_fov16	1.0
12	ReAlnet01_cornet_fov4	1.0
13	alexnet_fov12	1.0
14	briaai_rmbg_1_4	1.0
15	alexnet_fov16	1.0
16	compact_vgg19_V4	1.0
17	convnext_large_clip_laion2b_finelayers	1.0
18	yudixie_wbh_object_class_scaling_0415_run_0	1.0
19	VOneCORnet-S	1.0
20	vit_base_patch16_clip_224:openai_ft_in1k	1.0
21	mehrer2020_alexnet_training_seed_07	.961
22	pnasnet_large_halfPrecision	.961
23	resnet_101_v1	.961
24	inception_v4	.961
25	convnext_base:clip_laiona_augreg_ft_in1k_384	.961
26	cvt_cvt-13-224-in1k_4_LucyV4	.961
27	resnet-152_v2_pytorch	.961
28	resnext101_32x32d_wsl	.961
29	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.961
30	mehrer2020_alexnet_training_seed_05	.906
31	yudixie_resnet50_random_0_240908	.906
32	inception_v1	.906
33	yudixie_resnet50_distance_rotation_0_240908	.906
34	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.906
35	alexnet_training_seed_01_fov12	.906
36	compact_vgg19_IT	.906
37	compact_resnet50_robust_V4	.906
38	resnet50_barlowtwins_linhead	.867
39	convnext_large_in22k_supervised	.867
40	alexnet_training_seed_10	.867
41	mobilenet_v2_1_0_160	.867
42	resnet_50_v2	.867
43	yudixie_resnet18_rotation_reg_0_240719	.867
44	resnet50_ecoset_full	.867
45	cv_18_dagger_408_pretrained	.867
46	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.867
47	inception_v3	.818
48	convnext_xlarge:fb_in22k_ft_in1k	.818
49	yudixie_resnet18_distance_rotation_0_240719	.818
50	alexnet_training_seed_07	.783
51	alexnet_training_seed_04	.783
52	resnet_152_v2	.783
53	AdvProp_efficientnet-b4	.783
54	deit_small_imagenet_full_seed-0	.783
55	resnet50_imagenet_10_seed-0	.783
56	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.783
57	resnet18_imagenet_full	.783
58	mehrer2020_alexnet_training_seed_01_fov12	.739
59	vit_huge_clip336_laion	.739
60	resnet_101_v2	.739
61	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.739
62	AlexNet_SIN_fov16	.739
63	compact_cornets_V4	.739
64	mehrer2020_alexnet_training_seed_01_fov16	.707
65	convnext_base_fb_in22k_ft_in1k	.707
66	yolos_tiny	.707
67	ReAlnet02_cornet	.707
68	ReAlnet02	.707
69	BiT-S-R152x2	.707
70	deit_base_imagenet_full_seed-0	.707
71	efficientnet_b2_imagenet_full	.707
72	ijepa_vith14_linhead	.667
73	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.667
74	yudixie_resnet50_distance_translation_rotation_0_240908	.667
75	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.667
76	yudixie_resnet18_random_0_240719	.667
77	resnet101_imagenet_full	.667
78	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.667
79	eicircuit_resnet18_bn_20260919	.638
80	resnet_50_v1_spiking_l4a	.638
81	yudixie_resnet50_object_class_0_240908	.638
82	alexnet_training_seed_02	.638
83	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.638
84	vit_large_patch14_clip_224:openai_ft_in1k	.638
85	BiT-S-R101x1	.638
86	BiT-S-R101x3	.638
87	resnet50_robust_l2_eps3	.638
88	imagenet_l2_3_0	.638
89	cvt_cvt-21-224-in1k_4_LucyV4	.638
90	compact_resnet50_IT	.638
91	ReAlnet08_ALL	.638
92	mehrer2020_alexnet_training_seed_08	.602
93	pr1_stl10_disentangled_alpha04	.602
94	deit_small_imagenet_100_seed-0	.602
95	resnext101_32x8d_wsl	.576
96	mehrer2020_alexnet_training_seed_10	.576
97	pnasnet_large	.576
98	alexnet_training_seed_06	.576
99	yudixie_resnet50_translation_rotation_0_240908	.576
100	efficientnet_b0	.576
101	BiT-S-R50x1	.576
102	ReAlnet01_cornet_fov12	.576
103	dinov2_vitl14_lc	.544
104	convnext_xxlarge_clip	.544
105	dinov2_vitl14_reg_lc_featread	.544
106	dinov2_vitl14_lc_res336	.544
107	dinov2_vitl14_reg_lc	.544
108	eva02_large_in22k	.544
109	dinov2_vitg14_reg_lc	.544
110	dinov2_vitg14_lc	.544
111	vit_base_patch14_reg4_dinov2-lvd142m	.544
112	vit_base_patch16_dinov3-lvd1689m	.544
113	vit_base_patch14_dinov2-lvd142m	.544
114	mobilenet_v2_1_4_224	.544
115	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.544
116	vit_large_patch14_clip_224:laion2b_ft_in1k	.544
117	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.544
118	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.544
119	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.544
120	convnext_large:fb_in22k_ft_in1k	.544
121	compact_resnet50_V4	.544
122	mobilenet_v2_1-4_224_pytorch	.544
123	alexnet_training_seed_09	.520
124	deit_small_imagenet_10_seed-0	.520
125	ReAlnet10_ALL	.520
126	alexnet	.520
127	deepeisnn_ei_imagenet_resnet18	.491
128	seresnext50_32x4d	.470
129	deepeisnn_ei_cifar10_resnet18	.470
130	resnet18_fair	.470
131	ReAlnet09_cornet	.470
132	ReAlnet09	.470
133	resnet50-moclr8deg	.470
134	convnext_base_imagenet_full_seed-0	.470
135	yudixie_resnet18_translation_reg_0_240719	.470
136	alexnet_training_seed_01_fov4	.470
137	convnext_small_imagenet_1_seed-0	.443
138	yudixie_resnet18_distance_reg_0_240719	.443
139	mehrer2020_alexnet_training_seed_06	.424
140	gabor_filter_entropy_4x4_v2_forcedCosine	.424
141	resnet50_ewconplus_wzc_seed6_2_323	.424
142	xception	.424
143	mobilenet_v2_0_75_224	.424
144	voneresnet-50	.424
145	efficientnet_b1_imagenet_full	.424
146	efficientnet_b0_imagenet_full	.424
147	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.424
148	vit_large_patch14_clip_336:laion2b_ft_in1k	.400
149	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.400
150	deit_small_imagenet_1_seed-0	.400
151	mehrer2020_alexnet_training_seed_01_fov4	.383
152	resnet_50_v1_spiking	.383
153	convnext_tiny_imagenet_full_seed-0	.383
154	resnet18_ecoset_full	.383
155	ReAlnet06_ALL	.383
156	ReAlnet05_ALL	.383
157	pnasnet_large_pytorch	.383
158	voneresnet-50-non_stochastic	.383
159	compact_resnet50_robust_IT	.361
160	yudixie_resnet50_rotation_reg_0_240908	.346
161	omnivore_swinS	.346
162	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.346
163	artResNet18_1	.346
164	convnext_small_imagenet_100_seed-0	.346
165	yudixie_resnet18_imagenet1kpret_0_240719	.346
166	hmax	.346
167	mehrer2020_alexnet_training_seed_03	.326
168	resnet_50_v1_spiking_l4	.326
169	convnext_femto_ols:d1_in1k	.326
170	resnext101_32x48d_wsl	.326
171	resnet50_vicreg_linhead	.312
172	resnet50_byol_linhead	.312
173	vit_large_clip336_openai	.312
174	yudixie_wbh_object_class_scaling_0415_run_1	.312
175	alexnet_training_seed_03	.312
176	nasnet_large	.312
177	mobilenet_v2_0_5_224	.312
178	resnet152_ecoset_full	.312
179	resnet34_imagenet_full	.312
180	resnet50_ewconplus_wzc	.312
181	ReAlnet09_ALL	.312
182	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.282
183	convnext_base_fb_in1k	.282
184	resnet50_st_wzc_seed7_2_323	.282
185	ReAlnet01_cornet	.282
186	nasnet_mobile	.282
187	ReAlnet01	.282
188	deit_large_imagenet_full_seed-0	.282
189	cvt_cvt-21-384-in1k_4_LucyV4	.282
190	AlexNet_SIN_fov4	.282
191	gabor_filter_entropy_4x4_v2	.255
192	resnet50_ewconplus_wzc_seed2_2__323	.255
193	grcnn	.255
194	shufflenet_v2_x1_0	.255
195	resnet50-SIN	.255
196	resnet50-SIN_IN	.255
197	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.255
198	vonegrcnn_52e_full	.255
199	resnet50_imagenet_100_seed-0	.255
200	ReAlnet01_cornet_fov16	.255
201	ReAlnet07_ALL	.255
202	ReAlnet02_ALL	.255
203	custom_model_cv_18_dagger_408	.255
204	mehrer2020_alexnet_training_seed_09	.240
205	deepeisnn_ei_cifar10_vgg19	.240
206	yudixie_wbh_object_class_scaling_0415_imagenet	.230
207	yudixie_resnet50_distance_reg_0_240908	.230
208	yudixie_resnet50_distance_translation_0_240908	.230
209	omnivore_swinB	.230
210	densenet-121	.230
211	resnet_SIN_IN_FT_IN	.230
212	yudixie_resnet18_distance_translation_rotation_0_240719	.230
213	yudixie_resnet18_category_class_0_240719	.230
214	ReAlnet04_ALL	.230
215	ReAlnet03_ALL	.230
216	ReAlnet07_cornet	.208
217	ReAlnet04_cornet	.208
218	ReAlnet03_cornet	.208
219	ReAlnet03	.208
220	ReAlnet07	.208
221	ReAlnet04	.208
222	convnext_small_imagenet_full_seed-0	.208
223	AlexNet_SIN_fov12	.208
224	resnet50_st_wzc_2	.208
225	ReAlnet01_ALL	.208
226	resnet_50_v1_spiking_l3	.208
227	resnext101_32x16d_wsl	.187
228	ReAlnet08_cornet	.187
229	vgg_16	.187
230	ReAlnet08	.187
231	resnet50-vitoimagevidnet8	.187
232	resnet50_robust_l2_eps1	.187
233	resnet50-VITO-8deg-cc	.187
234	AT_efficientnet-b2	.187
235	resnet50-vicregl0p9	.187
236	AdvProp_efficientnet-b2	.187
237	AdvProp_efficientnet-b6	.187
238	AlexNet_SIN	.187
239	regnety_032	.169
240	deit3_base_patch16_224_fb_in1k	.169
241	resnet50_ewconplus_wzc_seed5_2__323	.169
242	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.169
243	convnext_large_imagenet_full_seed-0	.169
244	blt_vs	.160
245	yudixie_resnet18_object_class_0_240719	.160
246	resnet50_simsiam_linhead	.153
247	convnext_base_fb_in1k_gram_aligned_dinov3	.153
248	ReAlnet05_cornet	.153
249	mobilenet_v2_0_5_192	.153
250	ReAlnet05	.153
251	voneresnet-50-robust	.153
252	AdvProp_efficientnet-b8	.153
253	vonegrcnn_47e	.153
254	resnet101_ecoset_full	.153
255	yudixie_resnet50_category_class_0_240908	.138
256	ReAlnet10_cornet	.138
257	mobilenet_v2_0_75_160	.138
258	vonegrcnn_62e_nobn	.138
259	ReAlnet10	.138
260	densenet-201	.138
261	cvt_cvt-13-384-in1k_4_LucyV4	.138
262	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.138
263	compact_cornets_IT	.138
264	gabor_filter_entropy_4x4	.125
265	yudixie_wbh_object_class_scaling_0415_run_3	.125
266	resnet50_imagenet_1_seed-0	.125
267	yudixie_wbh_object_class_scaling_0415_run_2	.113
268	ReAlnet06_cornet	.113
269	ReAlnet06	.113
270	BiT-S-R50x3	.113
271	yudixie_resnet18_distance_translation_0_240719	.113
272	resnet152_imagenet_full	.113
273	mehrer2020_alexnet_training_seed_01	.102
274	alexnet_training_seed_08	.102
275	resnet_152_v1	.102
276	grcnn_109	.102
277	BiT-S-R152x4	.102
278	ViT_L_32_imagenet1k	.102
279	resnet-50-robust	.102
280	gabor_filter_mean_abs_4x4_v2	.092
281	resnet50_primary_visual_cortex	.092
282	mobilenet_v2_0_75_192	.092
283	efficientnet-b7	.092
284	vit_relpos_base_patch16_clsgap_224:sw_in1k	.092
285	resnet34_ecoset_full	.092
286	resnet50_imagenet_full	.092
287	alexnet_fov4	.092
288	mobilenet_v2_1_0_128	.083
289	mobilenet_v2_1_0_224	.075
290	resnet50-barlow	.075
291	densenet-169	.075
292	resnet50-vicregl0p75	.075
293	convnext_tiny_sup	.075
294	resnet50_tutorial	.075
295	resnet50_hvs_wzc	.068
296	effnetb1_272x240	.068
297	yudixie_resnet50_imagenet1kpret_0_240908	.061
298	mobilenet_v2_1_3_224	.061
299	AdvProp_efficientnet-b7	.055
300	focalnet_tiny_lrf_in1k	.055
301	alexnet_training_seed_05	.050
302	Res2Net50_26w_4s	.050
303	resnet50_st_wzc_seed6_2_323	.045
304	resnet_50_v1	.033
305	resnet50-sup	.033
306	mobilenet_v2_1_0_192	.030
307	antialiased-r50	.027
308	predictive_coding_pc	.024
309	resnet50-SIN_IN_IN	.018
310	vgg_19	.012
311	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3

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

0.87.

Note that scores are relative to this ceiling.

Data: Ferguson2024round_f

Metric: value_delta