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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	aughost_fair_resnet18	1.0
2	alexnet_training_seed_01	1.0
3	yudixie_resnet50_translation_reg_0_240908	1.0
4	resnet50-vicreg	1.0
5	resnet-18_test_m	1.0
6	convnext_tiny:in12k_ft_in1k	1.0
7	convnext_small_imagenet_10_seed-0	1.0
8	yudixie_resnet18_translation_rotation_0_240719	1.0
9	alexnet_training_seed_01_fov16	1.0
10	ReAlnet01_cornet_fov4	1.0
11	alexnet_fov12	1.0
12	briaai_rmbg_1_4	1.0
13	alexnet_fov16	1.0
14	compact_vgg19_V4	1.0
15	yudixie_wbh_object_class_scaling_0415_run_0	1.0
16	VOneCORnet-S	1.0
17	vit_base_patch16_clip_224:openai_ft_in1k	1.0
18	pnasnet_large_halfPrecision	.961
19	resnet_101_v1	.961
20	inception_v4	.961
21	convnext_base:clip_laiona_augreg_ft_in1k_384	.961
22	cvt_cvt-13-224-in1k_4_LucyV4	.961
23	resnet-152_v2_pytorch	.961
24	resnext101_32x32d_wsl	.961
25	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.961
26	yudixie_resnet50_random_0_240908	.906
27	inception_v1	.906
28	yudixie_resnet50_distance_rotation_0_240908	.906
29	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.906
30	alexnet_training_seed_01_fov12	.906
31	compact_vgg19_IT	.906
32	compact_resnet50_robust_V4	.906
33	alexnet_training_seed_10	.867
34	mobilenet_v2_1_0_160	.867
35	resnet_50_v2	.867
36	yudixie_resnet18_rotation_reg_0_240719	.867
37	resnet50_ecoset_full	.867
38	cv_18_dagger_408_pretrained	.867
39	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.867
40	inception_v3	.818
41	convnext_xlarge:fb_in22k_ft_in1k	.818
42	yudixie_resnet18_distance_rotation_0_240719	.818
43	alexnet_training_seed_07	.783
44	alexnet_training_seed_04	.783
45	resnet_152_v2	.783
46	AdvProp_efficientnet-b4	.783
47	deit_small_imagenet_full_seed-0	.783
48	resnet50_imagenet_10_seed-0	.783
49	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.783
50	resnet18_imagenet_full	.783
51	resnet_101_v2	.739
52	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.739
53	AlexNet_SIN_fov16	.739
54	compact_cornets_V4	.739
55	convnext_base_fb_in22k_ft_in1k	.707
56	resnet50_st_wzc_seed5_2_323	.707
57	resnet50_st_wzc_2_323	.707
58	yolos_tiny	.707
59	ReAlnet02_cornet	.707
60	ReAlnet02	.707
61	BiT-S-R152x2	.707
62	deit_base_imagenet_full_seed-0	.707
63	efficientnet_b2_imagenet_full	.707
64	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.667
65	yudixie_resnet50_distance_translation_rotation_0_240908	.667
66	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.667
67	yudixie_resnet18_random_0_240719	.667
68	resnet101_imagenet_full	.667
69	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.667
70	resnet_50_v1_spiking_l4a	.638
71	yudixie_resnet50_object_class_0_240908	.638
72	alexnet_training_seed_02	.638
73	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.638
74	vit_large_patch14_clip_224:openai_ft_in1k	.638
75	BiT-S-R101x1	.638
76	BiT-S-R101x3	.638
77	resnet50_robust_l2_eps3	.638
78	imagenet_l2_3_0	.638
79	cvt_cvt-21-224-in1k_4_LucyV4	.638
80	compact_resnet50_IT	.638
81	ReAlnet08_ALL	.638
82	pr1_stl10_disentangled_alpha04	.602
83	deit_small_imagenet_100_seed-0	.602
84	resnext101_32x8d_wsl	.576
85	pnasnet_large	.576
86	alexnet_training_seed_06	.576
87	yudixie_resnet50_translation_rotation_0_240908	.576
88	efficientnet_b0	.576
89	BiT-S-R50x1	.576
90	ReAlnet01_cornet_fov12	.576
91	vit_base_patch14_reg4_dinov2-lvd142m	.544
92	vit_base_patch16_dinov3-lvd1689m	.544
93	vit_base_patch14_dinov2-lvd142m	.544
94	mobilenet_v2_1_4_224	.544
95	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.544
96	vit_large_patch14_clip_224:laion2b_ft_in1k	.544
97	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.544
98	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.544
99	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.544
100	convnext_large:fb_in22k_ft_in1k	.544
101	compact_resnet50_V4	.544
102	mobilenet_v2_1-4_224_pytorch	.544
103	resnet50_st_wzc_noseed_2_323	.520
104	alexnet_training_seed_09	.520
105	deit_small_imagenet_10_seed-0	.520
106	ReAlnet10_ALL	.520
107	alexnet	.520
108	deepeisnn_ei_imagenet_resnet18	.491
109	deepeisnn_ei_cifar10_resnet18	.470
110	resnet18_fair	.470
111	ReAlnet09_cornet	.470
112	ReAlnet09	.470
113	resnet50-moclr8deg	.470
114	convnext_base_imagenet_full_seed-0	.470
115	yudixie_resnet18_translation_reg_0_240719	.470
116	alexnet_training_seed_01_fov4	.470
117	convnext_small_imagenet_1_seed-0	.443
118	yudixie_resnet18_distance_reg_0_240719	.443
119	resnet50_ewconplus_wzc_seed6_2_323	.424
120	resnet50_ewconplus_wzc_seed4_2_323	.424
121	resnet50_ewconplus_noseed_2_323	.424
122	xception	.424
123	mobilenet_v2_0_75_224	.424
124	voneresnet-50	.424
125	efficientnet_b1_imagenet_full	.424
126	efficientnet_b0_imagenet_full	.424
127	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.424
128	vit_large_patch14_clip_336:laion2b_ft_in1k	.400
129	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.400
130	deit_small_imagenet_1_seed-0	.400
131	resnet_50_v1_spiking	.383
132	convnext_tiny_imagenet_full_seed-0	.383
133	resnet18_ecoset_full	.383
134	ReAlnet06_ALL	.383
135	ReAlnet05_ALL	.383
136	pnasnet_large_pytorch	.383
137	voneresnet-50-non_stochastic	.383
138	compact_resnet50_robust_IT	.361
139	resnet50_ewconplus_wzc_2_323	.346
140	yudixie_resnet50_rotation_reg_0_240908	.346
141	omnivore_swinS	.346
142	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.346
143	artResNet18_1	.346
144	convnext_small_imagenet_100_seed-0	.346
145	yudixie_resnet18_imagenet1kpret_0_240719	.346
146	hmax	.346
147	resnet_50_v1_spiking_l4	.326
148	convnext_femto_ols:d1_in1k	.326
149	resnext101_32x48d_wsl	.326
150	yudixie_wbh_object_class_scaling_0415_run_1	.312
151	alexnet_training_seed_03	.312
152	nasnet_large	.312
153	mobilenet_v2_0_5_224	.312
154	resnet152_ecoset_full	.312
155	resnet34_imagenet_full	.312
156	resnet50_ewconplus_wzc	.312
157	ReAlnet09_ALL	.312
158	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.282
159	convnext_base_fb_in1k	.282
160	resnet50_st_wzc_seed7_2_323	.282
161	ReAlnet01_cornet	.282
162	nasnet_mobile	.282
163	ReAlnet01	.282
164	deit_large_imagenet_full_seed-0	.282
165	cvt_cvt-21-384-in1k_4_LucyV4	.282
166	AlexNet_SIN_fov4	.282
167	resnet50_ewconplus_wzc_seed2_2__323	.255
168	grcnn	.255
169	shufflenet_v2_x1_0	.255
170	resnet50-SIN	.255
171	resnet50-SIN_IN	.255
172	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.255
173	vonegrcnn_52e_full	.255
174	resnet50_imagenet_100_seed-0	.255
175	ReAlnet01_cornet_fov16	.255
176	ReAlnet07_ALL	.255
177	ReAlnet02_ALL	.255
178	custom_model_cv_18_dagger_408	.255
179	deepeisnn_ei_cifar10_vgg19	.240
180	yudixie_wbh_object_class_scaling_0415_imagenet	.230
181	resnet50_ewconplus_wzc_seed7_2_323	.230
182	yudixie_resnet50_distance_reg_0_240908	.230
183	yudixie_resnet50_distance_translation_0_240908	.230
184	omnivore_swinB	.230
185	densenet-121	.230
186	resnet_SIN_IN_FT_IN	.230
187	yudixie_resnet18_distance_translation_rotation_0_240719	.230
188	yudixie_resnet18_category_class_0_240719	.230
189	ReAlnet04_ALL	.230
190	ReAlnet03_ALL	.230
191	ReAlnet07_cornet	.208
192	ReAlnet04_cornet	.208
193	ReAlnet03_cornet	.208
194	ReAlnet03	.208
195	ReAlnet07	.208
196	ReAlnet04	.208
197	convnext_small_imagenet_full_seed-0	.208
198	AlexNet_SIN_fov12	.208
199	resnet50_st_wzc_2	.208
200	ReAlnet01_ALL	.208
201	resnet_50_v1_spiking_l3	.208
202	ReAlnet08_cornet	.187
203	vgg_16	.187
204	ReAlnet08	.187
205	resnet50-vitoimagevidnet8	.187
206	resnet50_robust_l2_eps1	.187
207	resnet50-VITO-8deg-cc	.187
208	AT_efficientnet-b2	.187
209	resnet50-vicregl0p9	.187
210	AdvProp_efficientnet-b2	.187
211	AdvProp_efficientnet-b6	.187
212	AlexNet_SIN	.187
213	deit3_base_patch16_224_fb_in1k	.169
214	resnet50_ewconplus_wzc_seed5_2__323	.169
215	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.169
216	convnext_large_imagenet_full_seed-0	.169
217	blt_vs	.160
218	yudixie_resnet18_object_class_0_240719	.160
219	convnext_base_fb_in1k_gram_aligned_dinov3	.153
220	resnet50_st_wzc_seed4_2_323	.153
221	ReAlnet05_cornet	.153
222	mobilenet_v2_0_5_192	.153
223	ReAlnet05	.153
224	voneresnet-50-robust	.153
225	AdvProp_efficientnet-b8	.153
226	vonegrcnn_47e	.153
227	resnet101_ecoset_full	.153
228	yudixie_resnet50_category_class_0_240908	.138
229	ReAlnet10_cornet	.138
230	mobilenet_v2_0_75_160	.138
231	vonegrcnn_62e_nobn	.138
232	ReAlnet10	.138
233	densenet-201	.138
234	cvt_cvt-13-384-in1k_4_LucyV4	.138
235	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.138
236	compact_cornets_IT	.138
237	yudixie_wbh_object_class_scaling_0415_run_3	.125
238	resnet50_imagenet_1_seed-0	.125
239	yudixie_wbh_object_class_scaling_0415_run_2	.113
240	ReAlnet06_cornet	.113
241	ReAlnet06	.113
242	BiT-S-R50x3	.113
243	yudixie_resnet18_distance_translation_0_240719	.113
244	resnet152_imagenet_full	.113
245	alexnet_training_seed_08	.102
246	resnet_152_v1	.102
247	grcnn_109	.102
248	BiT-S-R152x4	.102
249	ViT_L_32_imagenet1k	.102
250	resnet-50-robust	.102
251	resnet50_primary_visual_cortex	.092
252	mobilenet_v2_0_75_192	.092
253	efficientnet-b7	.092
254	vit_relpos_base_patch16_clsgap_224:sw_in1k	.092
255	resnet34_ecoset_full	.092
256	resnet50_imagenet_full	.092
257	alexnet_fov4	.092
258	mobilenet_v2_1_0_128	.083
259	mobilenet_v2_1_0_224	.075
260	resnet50-barlow	.075
261	densenet-169	.075
262	resnet50-vicregl0p75	.075
263	convnext_tiny_sup	.075
264	resnet50_tutorial	.075
265	effnetb1_272x240	.068
266	yudixie_resnet50_imagenet1kpret_0_240908	.061
267	mobilenet_v2_1_3_224	.061
268	AdvProp_efficientnet-b7	.055
269	focalnet_tiny_lrf_in1k	.055
270	alexnet_training_seed_05	.050
271	Res2Net50_26w_4s	.050
272	resnet50_st_wzc_seed6_2_323	.045
273	resnet_50_v1	.033
274	resnet50-sup	.033
275	mobilenet_v2_1_0_192	.030
276	antialiased-r50	.027
277	predictive_coding_pc	.024
278	resnet50-SIN_IN_IN	.018
279	vgg_19	.012
280	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