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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	resnet50_simsiam_linhead	.994
80	yudixie_wbh_object_class_scaling_0415_run_2	.994
81	Res2Net50_26w_4s	.994
82	resnet-18-LC_w_sh_1_iter_conv_init_m	.994
83	alexnet_training_seed_01	.993
84	AlexNet_SIN_fov12	.993
85	focalnet_tiny_lrf_in1k	.993
86	alexnet_fov12	.993
87	ReAlnet03_ALL	.992
88	ReAlnet05_ALL	.992
89	yudixie_resnet50_translation_reg_0_240908	.992
90	ReAlnet10_ALL	.992
91	ReAlnet06_ALL	.991
92	resnet-18_untrained	.992
93	CORnet-Z	.991
94	ReAlnet07_ALL	.991
95	yudixie_resnet18_rotation_reg_0_240719	.991
96	yudixie_resnet50_distance_rotation_0_240908	.991
97	vonegrcnn_62e_nobn	.990
98	convnext_large:fb_in22k_ft_in1k	.990
99	AdvProp_efficientnet-b8	.989
100	resnet-50_untrained	.988
101	0.5x_resnet-18_LC_w_sh_1_iter	.988
102	ReAlnet01_cornet_fov4	.987
103	cvt_cvt-21-384-in1k_4_LucyV4	.986
104	AdvProp_efficientnet-b0	.986
105	hmax	.986
106	mobilenet_v2_1.3_224-tf	.986
107	mobilenet_v2_0.75_192-tf	.986
108	mobilenet_v2_0.75_160-tf	.986
109	mobilenet_v2_1.0_192-tf	.986
110	mobilenet_v2_1.0_160-tf	.986
111	mobilenet_v2_0.5_224-tf	.986
112	mobilenet_v2_0.75_128	.986
113	mobilenet_v2_0.5_160	.986
114	mobilenet_v2_1.0_128-tf	.986
115	mobilenet_v2_0.5_128	.986
116	mobilenet_v2_0.75_96	.986
117	inception_v1-tf	.986
118	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.986
119	effnetb1_cutmixpatch_augmix_robust32_e5_324x288	.986
120	tf_efficientnetv2_s_in21ft1k_robust_linf12255_400x400	.986
121	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.986
122	effnetb1_cutmixrespatch_SAM_robust32_e2_manylayers_324x288	.986
123	effnetb1_cutmixrespatch_SAM_robust32_e10_manylayers_324x288	.986
124	omnivore_swinS	.986
125	mobilenet_v1_0.25_128	.986
126	convnext_tiny_sup	.986
127	mobilenet_v2_1_0_128	.986
128	deit_small_imagenet_10_seed-0	.986
129	deit_small_imagenet_full_seed-0	.986
130	convnext_small_imagenet_full_seed-0	.986
131	compact_resnet50_robust_V4	.986
132	ReAlnet01_cornet_fov16	.986
133	mobilenet_v2_1_0_224	.986
134	compact_vgg19_IT	.986
135	deepeisnn_ei_cifar10_resnet18	.986
136	gabor_filter_mean_abs_4x4_v2	.986
137	0.5x_resnet-18_LC_w_sh_100_iter	.986
138	resnet101	.985
139	resnet-18-LC_w_sh_10_iter_m	.984
140	resnet50-vicregl0p9	.984
141	mobilenet_v2_1.4_224-tf	.984
142	alexnet_random_l2_3_perturb	.984
143	barlow-twins-resnet50	.983
144	BiT-M-R50x3	.982
145	yudixie_resnet18_distance_translation_0_240719	.982
146	compact_resnet50_IT	.982
147	yudixie_resnet18_distance_translation_rotation_0_240719	.981
148	resnet152_ecoset_full	.981
149	texture_shape_alexnet_trained_on_SIN	.981
150	BiT-M-R101x1	.981
151	resnet50_byol_linhead	.981
152	mobilenet_v2_1-4_224_pytorch	.980
153	compact_vgg19_V4	.979
154	resnet50_primary_visual_cortex	.979
155	alexnet_fov16	.979
156	mobilenet_v2_1_4_224	.978
157	resnet-18-LC_w_sh_1_iter_m	.977
158	mehrer2020_alexnet_training_seed_03	.976
159	yudixie_resnet18_object_class_0_240719	.975
160	resnet50-simclr-vissl	.975
161	convnext_base_fb_in1k	.975
162	resnet50-vitoimagevidnet8	.975
163	resnet-18-LC_m	.975
164	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.974
165	vggface	.974
166	alexnet_training_seed_01_fov16	.972
167	cvt_cvt-13-224-in1k_4_LucyV4	.971
168	alexnet_training_seed_09	.971
169	alexnet_early_checkpoint	.970
170	fulltest_microblockvf_nobottleneck_freeat_nopretrain_eps2_m4	.970
171	resnet-18-LC_d_w_sh_1x1_conv_init_m	.968
172	resnet50_vicreg_linhead	.968
173	resnet50_barlowtwins_linhead	.967
174	convnext_large_in22k_supervised	.967
175	vgg_16	.966
176	resnet50_ewconplus_wzc	.966
177	convnext_base:clip_laiona_augreg_ft_in1k_384	.966
178	resnet50_ewconplus_wzc_seed5_2__323	.965
179	yudixie_resnet50_random_0_240908	.965
180	alexnet_training_seed_07	.965
181	convnext_base_fb_in22k_ft_in1k	.965
182	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3	.964
183	blt_vs	.963
184	resnet-152_v2-tf	.964
185	resnet101_ecoset_full	.964
186	resnet50_hvs_wzc	.964
187	cvt_cvt-21-224-in1k_4_LucyV4	.963
188	yudixie_resnet50_category_class_0_240908	.962
189	yudixie_resnet18_random_0_240719	.958
190	resnet50_imagenet_100_seed-0	.958
191	convnext_large_clip_laion2b_finelayers	.956
192	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.956
193	mehrer2020_alexnet_training_seed_01_fov12	.954
194	resnext101_32x8d_wsl	.954
195	deepeisnn_ei_cifar10_vgg19	.953
196	alexnet_training_seed_04	.953
197	alexnet_robust_correct	.952
198	convnext_tiny:in12k_ft_in1k	.951
199	BiT-S-R50x1	.949
200	mehrer2020_alexnet_training_seed_09	.950
201	resnet50_ewconplus_wzc_seed6_2_323	.949
202	resnet50_ewconplus_wzc_seed2_2__323	.948
203	vgg-16-keras	.948
204	mehrer2020_alexnet_training_seed_01	.947
205	resnet50_simclr_linhead_01norm	.947
206	yudixie_resnet18_imagenet1kpret_0_240719	.946
207	yudixie_wbh_object_class_scaling_0415_imagenet	.946
208	xception	.946
209	inception_v3-tf	.945
210	resnet50_imagenet_10_seed-0	.945
211	mehrer2020_alexnet_training_seed_05	.944
212	resnet18_ecoset_full	.942
213	resnet50_st_wzc_seed7_2_323	.941
214	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.941
215	resnet101_imagenet_full	.941
216	resnet50-SIN_IN	.940
217	AlexNet_SIN	.939
218	convnext_large_imagenet_full_seed-0	.939
219	0.5x_resnet-18_LC	.939
220	mobilenet_v2_0_75_192	.939
221	inception_v3	.937
222	resnet-152_v2_pytorch	.937
223	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.936
224	CLIP-RN50	.935
225	resnet50_byol	.935
226	alexnet_training_seed_10	.933
227	resnet50-cifar	.933
228	mobilenet_v2_0.5_192-tf	.933
229	mobilenet_v2_0_5_224	.931
230	convnext_base_imagenet_full_seed-0	.931
231	resnet18_imagenet21kP	.931
232	resnet50_st_wzc_seed3_2_323	.930
233	voneresnet-50	.929
234	resnet-50_v1-tf	.928
235	BiT-S-R152x2	.927
236	convnext_xlarge:fb_in22k_ft_in1k	.927
237	briaai_rmbg_1_4	.927
238	alexnet_fov4	.926
239	vit_base_patch14_reg4_dinov2-lvd142m	.926
240	resnet50_st_wzc_seed6_2_323	.926
241	CLIP_resnet50_float32	.925
242	CLIP_resnet50	.925
243	resnet50-vicregl0p75	.925
244	RN50	.925
245	VOneCORnet-S	.924
246	voneresnet-50-robust	.923
247	grcnn	.921
248	convnext_xxlarge_clip	.920
249	grcnn_robust_v1	.919
250	mobilenet_v2_1.0_96	.919
251	mehrer2020_alexnet_training_seed_02	.919
252	BiT-S-R101x3	.917
253	convnext_base_fb_in1k_gram_aligned_dinov3	.916
254	alexnet_training_seed_02	.915
255	yudixie_resnet50_object_class_0_240908	.914
256	grcnn_109	.913
257	resnet18_fair	.913
258	grcnn_v2_text_noise	.912
259	r3m_resnet34_nocrop	.911
260	inception_v2-tf	.911
261	BiT-S-R50x3	.909
262	AlexNet_SIN_fov4	.909
263	cvt_cvt-13-384-in1k_4_LucyV4	.909
264	resnet50_robust_l2_eps1	.908
265	alexnet_l2_3_robust	.907
266	resnet-50-robust	.907
267	resnet50-moclr8deg	.906
268	resnext101_32x32d_wsl	.906
269	BiT-S-R152x4	.905
270	alexnet_random_linf8_perturb	.905
271	nasnet_large-tf	.905
272	alexnet	.901
273	resnet50_random_l2_perturb	.901
274	resnet50_random_linf8_perturb	.900
275	resnext101_32x48d_wsl	.899
276	resnet-50_v2-tf	.898
277	resnet50_tutorial	.898
278	resnext101_32x16d_wsl	.897
279	resnet50-sup	.897
280	resnet_50_v1_spiking	.897
281	resnet_SIN_IN_FT_IN	.897
282	yudixie_resnet50_imagenet1kpret_0_240908	.897
283	resnet_50_v1	.897
284	resnet_50_v1_spiking_l4a	.896
285	resnet50-SIN	.896
286	resnet_50_v1_spiking_l3	.896
287	resnet_50_v1_spiking_l4	.896
288	resnet50_finetune_cutmix_AVGe2e3_robust_linf8255_e0_247x234	.895
289	vit_base_patch14_dinov2-lvd142m	.895
290	resnet50_finetune_cutmix_e3_robust_linf8255_e0_247x234	.895
291	BiT-S-R101x1	.894
292	inception_v1	.893
293	antialias-resnet152	.893
294	densenet-201-keras	.892
295	my-model	.891
296	imagenet_l2_10_0	.890
297	alexnet_linf_8_robust	.889
298	efficientnet_b2_imagenet_full	.889
299	mobilenet_v2_1_3_224	.888
300	densenet-201	.886
301	resnet-18-LC_conv_init_m	.885
302	SWSL_resnet50	.884
303	efficientnet_b0	.884
304	densenet-169	.883
305	SWSL_resnext101_32x8d	.883
306	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.880
307	AdvProp_efficientnet-b4	.880
308	resnet50-vicreg	.879
309	resnet50-SIN_IN_IN	.878
310	ViT_L_32_imagenet1k	.877
311	resnet50	.877
312	resnet_50_v2	.876
313	resnet-152_v1-tf	.876
314	dinov2_vitl14_lc_res336	.875
315	vgg-19-keras	.873
316	konkle_alexnetgn_ipcl_ref12_supervised_ipcl_aug	.873
317	texture_shape_resnet50_trained_on_SIN	.871
318	imagenet_l2_3_0	.871
319	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.870
320	antialiased-r50	.868
321	alexnet_training_seed_03	.868
322	inception_v4-tf	.865
323	AdvProp_efficientnet-b7	.862
324	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.860
325	effnetv2m_custom384	.860
326	BiT-M-R152x4	.857
327	mobilevit_small	.855
328	shufflenet_v2_x1_0	.848
329	resnet50-VITO-8deg-cc	.846
330	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.846
331	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.846
332	densenet-121-keras	.845
333	densenet-121	.844
334	resnet50_robust_l2_eps3	.839
335	nasnet_mobile	.839
336	resnet-101_v1-tf	.838
337	mobilenet_v2_0_75_160	.838
338	r3m_resnet50	.838
339	resnet50_l2_3_robust	.835
340	artResNet18_1	.834
341	resnet50-barlow	.834
342	efficientnet_b0_imagenet_full	.828
343	resnet50_linf_8_robust	.828
344	resnet50_FractalDB	.828
345	resnet-101_v2-tf	.827
346	resnet50_imagenet_full	.826
347	vision_transformer_vit_large_patch16_224	.826
348	vonegrcnn_47e	.823
349	densenet-169-keras	.821
350	BiT-M-R50x1	.820
351	deit_small_imagenet_100_seed-0	.820
352	regnety_032	.814
353	resnet50_linf_4_robust	.813
354	mobilenet_v2_0_5_192	.813
355	nasnet_mobile-tf	.812
356	konkle_alexnetgn_ipcl_ref01_primary_model	.805
357	eBarlow_lmda_02_1000ep	.803
358	pnasnet_large-tf	.800
359	pnasnet_large_halfPrecision	.799
360	r3m_resnet50_nocrop	.797
361	vit_base_patch16_clip_224:openai_ft_in1k	.797
362	mobilenet_v2_0_75_224	.797
363	AT_efficientnet-b2	.795
364	mobilenet_v2_1_0_192	.795
365	vonegrcnn_52e_full	.795
366	vit_large_patch14_clip_336:laion2b_ft_in1k	.795
367	AdvProp_efficientnet-b2	.795
368	convnext_small_imagenet_1_seed-0	.793
369	vonegrcnn_47e	.793
370	seresnext50_32x4d	.791
371	deepeisnn_ei_imagenet_resnet18	.789
372	effnetb1_272x240	.787
373	BiT-M-R101x3	.786
374	dinov2_vitg14_lc	.785
375	resnet50_moco_v2	.782
376	vonegrcnn_52e_full	.781
377	antialiased-rnext101_32x8d	.780
378	resnet50_simclr	.774
379	mobilenet_v2_0.35_224	.771
380	mobilenet_v2_1_0_160	.765
381	eva02_large_in22k	.761
382	r3m_resnet18	.754
383	cv_18_dagger_408_pretrained	.754
384	ijepa_vith14_linhead	.748
385	deit_large_imagenet_full_seed-0	.748
386	alexnet_training_seed_08	.748
387	custom_model_cv_18_dagger_408	.747
388	vit_large_patch14_clip_224:laion2b_ft_in1k	.742
389	omnivore_swinT	.736
390	FrankRobWobv0	.735
391	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.734
392	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.733
393	alexnet_training_seed_01_fov4	.732
394	dinov2_vitl14_lc	.731
395	r3m_resnet34	.718
396	convnext_small_imagenet_10_seed-0	.718
397	BiT-M-R152x2	.711
398	dinov2_vitl14_reg_lc	.709
399	dinov2_vitl14_reg_lc_featread	.707
400	vit_relpos_base_patch16_clsgap_224:sw_in1k	.694
401	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.692
402	vit_large_clip336_openai	.689
403	CLIP_ViT-B_32	.686
404	AlexNet_SIN_fov16	.684
405	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.681
406	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	.679
407	deit3_base_patch16_224_fb_in22k_ft_in1k	.679
408	vit_large_patch14_clip_224:openai_ft_in1k	.676
409	vit_base_patch16_dinov3-lvd1689m	.673
410	yolos_tiny	.672
411	inception_resnet_v2	.662
412	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.648
413	mobilenet_v2_0.75_224-tf	.643
414	deit_base_imagenet_full_seed-0	.628
415	CORnetZ_CIFAR10	.601
416	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.578
417	deit3_base_patch16_224_fb_in1k	.578
418	my-model	.557
419	alexnet_training_seed_05	.513
420	resnet50_pretrained_with_retinal_waves	.481
421	gabor_filter_entropy_4x4_v2_forcedCosine	.467
422	ViT-B/32	.370
423	resnet50_imagenet_1_seed-0	.322
424	alexnet_training_seed_06	.321
425	resnet-18-LC_untrained	.274
426	gabor_filter_entropy_4x4	.000
427	gabor_filter_entropy_4x4_v2	.000
428	mobilenet_v2_0.35_160
429	resnet18-supervised
430	fitvid_trained_on_physion
431	openclip
432	resnet50_ImageNet
433	regnet_y_400mf
434	tv_efficientnet-b1
435	resnet_101_v1
436	alexnet_ks_torevert
437	yudixie_resnet50_imagenet1kpret_0_240312
438	resnet_152_v1
439	densenet_201_pytorch
440	inception_v3_pytorch
441	pnasnet_large_pytorch
442	inception_v4
443	nasnet_large
444	deit_small_imagenet_1_seed-0
445	pnasnet_large
446	resnet_101_v2
447	vonegrcnn_62e_nobn
448	resnet_152_v2
449	mehrer2020_alexnet_training_seed_01_fov4
450	mehrer2020_alexnet_training_seed_01_fov16
451	mehrer2020_alexnet_training_seed_04
452	mehrer2020_alexnet_training_seed_06
453	mehrer2020_alexnet_training_seed_07
454	mehrer2020_alexnet_training_seed_08
455	mehrer2020_alexnet_training_seed_10
456	pr1_stl10_disentangled_alpha04
457	predictive_coding_pc
458	dinov2_vitg14_reg_lc
459	vit_huge_clip336_laion

Benchmark bibtex

None

Ceiling

0.99.

Note that scores are relative to this ceiling.

Data: Marques2020_Ringach2002

Metric: or_selective