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Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("Marques2020_Ringach2002-or_selective")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	ReAlnet08_cornet	1.0
2	v1-pyr-nodown	1.0
3	ReAlnet04_ALL	1.0
4	efficientnet_b1_imagenet_full	1.0
5	cornet_s	1.0
6	convnext_femto_ols:d1_in1k	1.0
7	ReAlnet08	1.0
8	compact_resnet50_V4	1.0
9	0.5x_resnet-18_LC_w_sh_10_iter	1.0
10	resnet34_imagenet_full	1.0
11	yudixie_wbh_object_class_scaling_0415_run_1	1.0
12	yudixie_resnet18_translation_reg_0_240719	1.0
13	CORnetZ_CIFAR10_bs32_20_04	1.0
14	vonealexnet_gaussian_noise_std4_fixed	1.0
15	resnet-18-LC_w_sh_100_iter_conv_init_m	1.0
16	resnet-18-LC_w_sh_10_iter_conv_init_m	1.0
17	yudixie_resnet18_translation_rotation_0_240719	1.0
18	yudixie_wbh_object_class_scaling_0415_run_3	1.0
19	ReAlnet01_cornet_fov12	.999
20	yudixie_resnet18_distance_rotation_0_240719	.999
21	ReAlnet10	.999
22	ReAlnet01	1.0
23	ReAlnet03	.999
24	ReAlnet07_cornet	.999
25	ReAlnet03_cornet	.999
26	ReAlnet10_cornet	.999
27	voneresnet-50-non_stochastic	.999
28	ReAlnet07	.999
29	ReAlnet04	.999
30	ReAlnet04_cornet	.999
31	ReAlnet02	.999
32	resnet50_ecoset_full	.999
33	ReAlnet01_cornet	.999
34	convnext_tiny_imagenet_full_seed-0	.999
35	ReAlnet01_ALL	.999
36	yudixie_resnet50_distance_reg_0_240908	.999
37	ReAlnet09_ALL	.999
38	ReAlnet02_cornet	.999
39	CORnet-S	.999
40	ReAlnet06	.998
41	ReAlnet02_ALL	.998
42	alexnet_reduced_aliasing_early_checkpoint	.998
43	ReAlnet06_cornet	.999
44	ReAlnet05	.998
45	ReAlnet05_cornet	.999
46	compact_resnet50_robust_IT	.998
47	efficientnet-b7	.998
48	compact_cornets_IT	.998
49	yudixie_resnet50_distance_translation_0_240908	.998
50	resnet-18-LC_1st_conv_m	.998
51	resnet50_st_wzc_2	.998
52	yudixie_resnet18_distance_reg_0_240719	.997
53	yudixie_resnet50_rotation_reg_0_240908	.997
54	eicircuit_resnet18_bn_20260919	.997
55	resnet18_imagenet_full	.997
56	yudixie_wbh_object_class_scaling_0415_run_0	.997
57	alexnet_training_seed_01_fov12	.997
58	compact_cornets_V4	.997
59	resnet34_ecoset_full	.996
60	convnext_small_imagenet_100_seed-0	.996
61	resnet-18-LC_w_sh_100_iter_m	.996
62	vgg_19	.996
63	0.5x_resnet-18	.996
64	omnivore_swinB	.996
65	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.996
66	yudixie_resnet18_category_class_0_240719	.996
67	ReAlnet08_ALL	.995
68	resnet152_imagenet_full	.995
69	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.996
70	yudixie_resnet50_translation_rotation_0_240908	.995
71	ReAlnet09_cornet	.995
72	ReAlnet09	.995
73	resnet-18_test_m	.995
74	resnet-50x2_untrained	.995
75	mobilenet_v2_1.0_224-tf	.995
76	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.994
77	yudixie_resnet50_distance_translation_rotation_0_240908	.995
78	AdvProp_efficientnet-b6	.994
79	yudixie_wbh_object_class_scaling_0415_run_2	.994
80	Res2Net50_26w_4s	.994
81	resnet-18-LC_w_sh_1_iter_conv_init_m	.994
82	alexnet_training_seed_01	.993
83	AlexNet_SIN_fov12	.993
84	focalnet_tiny_lrf_in1k	.993
85	alexnet_fov12	.993
86	ReAlnet03_ALL	.992
87	ReAlnet05_ALL	.992
88	yudixie_resnet50_translation_reg_0_240908	.992
89	ReAlnet10_ALL	.992
90	ReAlnet06_ALL	.991
91	resnet-18_untrained	.992
92	CORnet-Z	.991
93	ReAlnet07_ALL	.991
94	yudixie_resnet18_rotation_reg_0_240719	.991
95	yudixie_resnet50_distance_rotation_0_240908	.991
96	vonegrcnn_62e_nobn	.990
97	convnext_large:fb_in22k_ft_in1k	.990
98	AdvProp_efficientnet-b8	.989
99	resnet-50_untrained	.988
100	0.5x_resnet-18_LC_w_sh_1_iter	.988
101	ReAlnet01_cornet_fov4	.987
102	cvt_cvt-21-384-in1k_4_LucyV4	.986
103	AdvProp_efficientnet-b0	.986
104	hmax	.986
105	mobilenet_v2_1.3_224-tf	.986
106	mobilenet_v2_0.75_192-tf	.986
107	mobilenet_v2_0.75_160-tf	.986
108	mobilenet_v2_1.0_192-tf	.986
109	mobilenet_v2_1.0_160-tf	.986
110	mobilenet_v2_0.5_224-tf	.986
111	mobilenet_v2_0.75_128	.986
112	mobilenet_v2_0.5_160	.986
113	mobilenet_v2_1.0_128-tf	.986
114	mobilenet_v2_0.5_128	.986
115	mobilenet_v2_0.75_96	.986
116	inception_v1-tf	.986
117	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.986
118	effnetb1_cutmixpatch_augmix_robust32_e5_324x288	.986
119	tf_efficientnetv2_s_in21ft1k_robust_linf12255_400x400	.986
120	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.986
121	effnetb1_cutmixrespatch_SAM_robust32_e2_manylayers_324x288	.986
122	effnetb1_cutmixrespatch_SAM_robust32_e10_manylayers_324x288	.986
123	omnivore_swinS	.986
124	mobilenet_v1_0.25_128	.986
125	convnext_tiny_sup	.986
126	mobilenet_v2_1_0_128	.986
127	deit_small_imagenet_10_seed-0	.986
128	deit_small_imagenet_full_seed-0	.986
129	convnext_small_imagenet_full_seed-0	.986
130	compact_resnet50_robust_V4	.986
131	ReAlnet01_cornet_fov16	.986
132	mobilenet_v2_1_0_224	.986
133	compact_vgg19_IT	.986
134	deepeisnn_ei_cifar10_resnet18	.986
135	gabor_filter_mean_abs_4x4_v2	.986
136	0.5x_resnet-18_LC_w_sh_100_iter	.986
137	resnet101	.985
138	resnet-18-LC_w_sh_10_iter_m	.984
139	resnet50-vicregl0p9	.984
140	mobilenet_v2_1.4_224-tf	.984
141	alexnet_random_l2_3_perturb	.984
142	barlow-twins-resnet50	.983
143	BiT-M-R50x3	.982
144	yudixie_resnet18_distance_translation_0_240719	.982
145	compact_resnet50_IT	.982
146	yudixie_resnet18_distance_translation_rotation_0_240719	.981
147	resnet152_ecoset_full	.981
148	texture_shape_alexnet_trained_on_SIN	.981
149	BiT-M-R101x1	.981
150	mobilenet_v2_1-4_224_pytorch	.980
151	compact_vgg19_V4	.979
152	resnet50_primary_visual_cortex	.979
153	alexnet_fov16	.979
154	mobilenet_v2_1_4_224	.978
155	resnet-18-LC_w_sh_1_iter_m	.977
156	mehrer2020_alexnet_training_seed_03	.976
157	yudixie_resnet18_object_class_0_240719	.975
158	resnet50-simclr-vissl	.975
159	convnext_base_fb_in1k	.975
160	resnet50-vitoimagevidnet8	.975
161	resnet-18-LC_m	.975
162	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.974
163	vggface	.974
164	alexnet_training_seed_01_fov16	.972
165	cvt_cvt-13-224-in1k_4_LucyV4	.971
166	alexnet_training_seed_09	.971
167	alexnet_early_checkpoint	.970
168	fulltest_microblockvf_nobottleneck_freeat_nopretrain_eps2_m4	.970
169	resnet-18-LC_d_w_sh_1x1_conv_init_m	.968
170	convnext_large_in22k_supervised	.967
171	vgg_16	.966
172	resnet50_ewconplus_wzc	.966
173	convnext_base:clip_laiona_augreg_ft_in1k_384	.966
174	resnet50_ewconplus_wzc_seed5_2__323	.965
175	yudixie_resnet50_random_0_240908	.965
176	alexnet_training_seed_07	.965
177	convnext_base_fb_in22k_ft_in1k	.965
178	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3	.964
179	blt_vs	.963
180	resnet-152_v2-tf	.964
181	resnet101_ecoset_full	.964
182	resnet50_hvs_wzc	.964
183	cvt_cvt-21-224-in1k_4_LucyV4	.963
184	yudixie_resnet50_category_class_0_240908	.962
185	yudixie_resnet18_random_0_240719	.958
186	resnet50_imagenet_100_seed-0	.958
187	convnext_large_clip_laion2b_finelayers	.956
188	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.956
189	mehrer2020_alexnet_training_seed_01_fov12	.954
190	resnext101_32x8d_wsl	.954
191	deepeisnn_ei_cifar10_vgg19	.953
192	alexnet_training_seed_04	.953
193	alexnet_robust_correct	.952
194	convnext_tiny:in12k_ft_in1k	.951
195	BiT-S-R50x1	.949
196	mehrer2020_alexnet_training_seed_09	.950
197	resnet50_ewconplus_wzc_seed6_2_323	.949
198	resnet50_ewconplus_wzc_seed2_2__323	.948
199	vgg-16-keras	.948
200	mehrer2020_alexnet_training_seed_01	.947
201	yudixie_resnet18_imagenet1kpret_0_240719	.946
202	yudixie_wbh_object_class_scaling_0415_imagenet	.946
203	xception	.946
204	inception_v3-tf	.945
205	resnet50_imagenet_10_seed-0	.945
206	mehrer2020_alexnet_training_seed_05	.944
207	resnet18_ecoset_full	.942
208	resnet50_st_wzc_seed7_2_323	.941
209	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.941
210	resnet101_imagenet_full	.941
211	resnet50-SIN_IN	.940
212	AlexNet_SIN	.939
213	convnext_large_imagenet_full_seed-0	.939
214	0.5x_resnet-18_LC	.939
215	mobilenet_v2_0_75_192	.939
216	inception_v3	.937
217	resnet-152_v2_pytorch	.937
218	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.936
219	CLIP-RN50	.935
220	resnet50_byol	.935
221	alexnet_training_seed_10	.933
222	resnet50-cifar	.933
223	mobilenet_v2_0.5_192-tf	.933
224	mobilenet_v2_0_5_224	.931
225	convnext_base_imagenet_full_seed-0	.931
226	resnet18_imagenet21kP	.931
227	resnet50_st_wzc_seed3_2_323	.930
228	voneresnet-50	.929
229	resnet-50_v1-tf	.928
230	BiT-S-R152x2	.927
231	convnext_xlarge:fb_in22k_ft_in1k	.927
232	briaai_rmbg_1_4	.927
233	alexnet_fov4	.926
234	vit_base_patch14_reg4_dinov2-lvd142m	.926
235	resnet50_st_wzc_seed6_2_323	.926
236	CLIP_resnet50_float32	.925
237	CLIP_resnet50	.925
238	resnet50-vicregl0p75	.925
239	RN50	.925
240	VOneCORnet-S	.924
241	voneresnet-50-robust	.923
242	grcnn	.921
243	convnext_xxlarge_clip	.920
244	grcnn_robust_v1	.919
245	mobilenet_v2_1.0_96	.919
246	mehrer2020_alexnet_training_seed_02	.919
247	BiT-S-R101x3	.917
248	convnext_base_fb_in1k_gram_aligned_dinov3	.916
249	alexnet_training_seed_02	.915
250	yudixie_resnet50_object_class_0_240908	.914
251	grcnn_109	.913
252	resnet18_fair	.913
253	grcnn_v2_text_noise	.912
254	r3m_resnet34_nocrop	.911
255	inception_v2-tf	.911
256	BiT-S-R50x3	.909
257	AlexNet_SIN_fov4	.909
258	cvt_cvt-13-384-in1k_4_LucyV4	.909
259	resnet50_robust_l2_eps1	.908
260	alexnet_l2_3_robust	.907
261	resnet-50-robust	.907
262	resnet50-moclr8deg	.906
263	resnext101_32x32d_wsl	.906
264	BiT-S-R152x4	.905
265	alexnet_random_linf8_perturb	.905
266	nasnet_large-tf	.905
267	alexnet	.901
268	resnet50_random_l2_perturb	.901
269	resnet50_random_linf8_perturb	.900
270	resnext101_32x48d_wsl	.899
271	resnet-50_v2-tf	.898
272	resnet50_tutorial	.898
273	resnext101_32x16d_wsl	.897
274	resnet50-sup	.897
275	resnet_50_v1_spiking	.897
276	resnet_SIN_IN_FT_IN	.897
277	yudixie_resnet50_imagenet1kpret_0_240908	.897
278	resnet_50_v1	.897
279	resnet_50_v1_spiking_l4a	.896
280	resnet50-SIN	.896
281	resnet_50_v1_spiking_l3	.896
282	resnet_50_v1_spiking_l4	.896
283	resnet50_finetune_cutmix_AVGe2e3_robust_linf8255_e0_247x234	.895
284	vit_base_patch14_dinov2-lvd142m	.895
285	resnet50_finetune_cutmix_e3_robust_linf8255_e0_247x234	.895
286	BiT-S-R101x1	.894
287	inception_v1	.893
288	antialias-resnet152	.893
289	densenet-201-keras	.892
290	my-model	.891
291	imagenet_l2_10_0	.890
292	alexnet_linf_8_robust	.889
293	efficientnet_b2_imagenet_full	.889
294	mobilenet_v2_1_3_224	.888
295	densenet-201	.886
296	resnet-18-LC_conv_init_m	.885
297	SWSL_resnet50	.884
298	efficientnet_b0	.884
299	densenet-169	.883
300	SWSL_resnext101_32x8d	.883
301	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.880
302	AdvProp_efficientnet-b4	.880
303	resnet50-vicreg	.879
304	resnet50-SIN_IN_IN	.878
305	ViT_L_32_imagenet1k	.877
306	resnet50	.877
307	resnet_50_v2	.876
308	resnet-152_v1-tf	.876
309	dinov2_vitl14_lc_res336	.875
310	vgg-19-keras	.873
311	konkle_alexnetgn_ipcl_ref12_supervised_ipcl_aug	.873
312	texture_shape_resnet50_trained_on_SIN	.871
313	imagenet_l2_3_0	.871
314	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.870
315	antialiased-r50	.868
316	alexnet_training_seed_03	.868
317	inception_v4-tf	.865
318	AdvProp_efficientnet-b7	.862
319	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.860
320	effnetv2m_custom384	.860
321	BiT-M-R152x4	.857
322	mobilevit_small	.855
323	shufflenet_v2_x1_0	.848
324	resnet50-VITO-8deg-cc	.846
325	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.846
326	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.846
327	densenet-121-keras	.845
328	densenet-121	.844
329	resnet50_robust_l2_eps3	.839
330	nasnet_mobile	.839
331	resnet-101_v1-tf	.838
332	mobilenet_v2_0_75_160	.838
333	r3m_resnet50	.838
334	resnet50_l2_3_robust	.835
335	artResNet18_1	.834
336	resnet50-barlow	.834
337	efficientnet_b0_imagenet_full	.828
338	resnet50_linf_8_robust	.828
339	resnet50_FractalDB	.828
340	resnet-101_v2-tf	.827
341	resnet50_imagenet_full	.826
342	vision_transformer_vit_large_patch16_224	.826
343	vonegrcnn_47e	.823
344	densenet-169-keras	.821
345	BiT-M-R50x1	.820
346	deit_small_imagenet_100_seed-0	.820
347	regnety_032	.814
348	resnet50_linf_4_robust	.813
349	mobilenet_v2_0_5_192	.813
350	nasnet_mobile-tf	.812
351	konkle_alexnetgn_ipcl_ref01_primary_model	.805
352	eBarlow_lmda_02_1000ep	.803
353	pnasnet_large-tf	.800
354	pnasnet_large_halfPrecision	.799
355	r3m_resnet50_nocrop	.797
356	vit_base_patch16_clip_224:openai_ft_in1k	.797
357	mobilenet_v2_0_75_224	.797
358	AT_efficientnet-b2	.795
359	mobilenet_v2_1_0_192	.795
360	vonegrcnn_52e_full	.795
361	vit_large_patch14_clip_336:laion2b_ft_in1k	.795
362	AdvProp_efficientnet-b2	.795
363	convnext_small_imagenet_1_seed-0	.793
364	vonegrcnn_47e	.793
365	seresnext50_32x4d	.791
366	deepeisnn_ei_imagenet_resnet18	.789
367	effnetb1_272x240	.787
368	BiT-M-R101x3	.786
369	dinov2_vitg14_lc	.785
370	resnet50_moco_v2	.782
371	vonegrcnn_52e_full	.781
372	antialiased-rnext101_32x8d	.780
373	resnet50_simclr	.774
374	mobilenet_v2_0.35_224	.771
375	mobilenet_v2_1_0_160	.765
376	eva02_large_in22k	.761
377	r3m_resnet18	.754
378	cv_18_dagger_408_pretrained	.754
379	deit_large_imagenet_full_seed-0	.748
380	alexnet_training_seed_08	.748
381	custom_model_cv_18_dagger_408	.747
382	vit_large_patch14_clip_224:laion2b_ft_in1k	.742
383	omnivore_swinT	.736
384	FrankRobWobv0	.735
385	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.734
386	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.733
387	alexnet_training_seed_01_fov4	.732
388	dinov2_vitl14_lc	.731
389	r3m_resnet34	.718
390	convnext_small_imagenet_10_seed-0	.718
391	BiT-M-R152x2	.711
392	dinov2_vitl14_reg_lc	.709
393	dinov2_vitl14_reg_lc_featread	.707
394	vit_relpos_base_patch16_clsgap_224:sw_in1k	.694
395	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.692
396	vit_large_clip336_openai	.689
397	CLIP_ViT-B_32	.686
398	AlexNet_SIN_fov16	.684
399	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.681
400	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	.679
401	deit3_base_patch16_224_fb_in22k_ft_in1k	.679
402	vit_large_patch14_clip_224:openai_ft_in1k	.676
403	vit_base_patch16_dinov3-lvd1689m	.673
404	yolos_tiny	.672
405	inception_resnet_v2	.662
406	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.648
407	mobilenet_v2_0.75_224-tf	.643
408	deit_base_imagenet_full_seed-0	.628
409	CORnetZ_CIFAR10	.601
410	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.578
411	deit3_base_patch16_224_fb_in1k	.578
412	my-model	.557
413	alexnet_training_seed_05	.513
414	resnet50_pretrained_with_retinal_waves	.481
415	gabor_filter_entropy_4x4_v2_forcedCosine	.467
416	ViT-B/32	.370
417	resnet50_imagenet_1_seed-0	.322
418	alexnet_training_seed_06	.321
419	resnet-18-LC_untrained	.274
420	gabor_filter_entropy_4x4	.000
421	gabor_filter_entropy_4x4_v2	.000
422	mobilenet_v2_0.35_160
423	resnet18-supervised
424	fitvid_trained_on_physion
425	openclip
426	resnet50_ImageNet
427	regnet_y_400mf
428	tv_efficientnet-b1
429	resnet_101_v1
430	alexnet_ks_torevert
431	yudixie_resnet50_imagenet1kpret_0_240312
432	resnet_152_v1
433	densenet_201_pytorch
434	inception_v3_pytorch
435	pnasnet_large_pytorch
436	inception_v4
437	nasnet_large
438	deit_small_imagenet_1_seed-0
439	pnasnet_large
440	resnet_101_v2
441	vonegrcnn_62e_nobn
442	resnet_152_v2
443	mehrer2020_alexnet_training_seed_01_fov4
444	mehrer2020_alexnet_training_seed_01_fov16
445	mehrer2020_alexnet_training_seed_04
446	mehrer2020_alexnet_training_seed_06
447	mehrer2020_alexnet_training_seed_07
448	mehrer2020_alexnet_training_seed_08
449	mehrer2020_alexnet_training_seed_10
450	pr1_stl10_disentangled_alpha04
451	predictive_coding_pc
452	dinov2_vitg14_reg_lc
453	vit_huge_clip336_laion

Benchmark bibtex

None

Ceiling

0.99.

Note that scores are relative to this ceiling.

Data: Marques2020_Ringach2002

Metric: or_selective