Sample stimuli

sample 0 sample 1 sample 2 sample 3 sample 4 sample 5 sample 6 sample 7 sample 8 sample 9

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("Marques2020_FreemanZiemba2013-max_texture")
score = benchmark(my_model)

Model scores

Min Alignment Max Alignment

Rank

Model

Score

1
.986
2
.985
3
.987
4
.984
5
.983
6
.983
7
.983
8
.983
9
.981
10
.980
11
.979
12
.977
13
.978
14
.979
15
.978
16
.977
17
.977
18
.975
19
.975
20
.972
21
.970
22
.969
23
.969
24
.970
25
.968
26
.968
27
.968
28
.966
29
.966
30
.967
31
.964
32
.964
33
.964
34
.963
35
.963
36
.962
37
.963
38
.959
39
.960
40
.961
41
.961
42
.959
43
.959
44
.960
45
.958
46
.957
47
.956
48
.956
49
.955
50
.955
51
.953
52
.953
53
.952
54
.955
55
.953
56
.952
57
.951
58
.952
59
.950
60
.951
61
.949
62
.951
63
.950
64
.949
65
.948
66
.949
67
.947
68
.946
69
.946
70
.944
71
.947
72
.945
73
.946
74
.945
75
.945
76
.943
77
.944
78
.943
79
.943
80
.945
81
.943
82
.944
83
.942
84
.941
85
.941
86
.940
87
.942
88
.940
89
.940
90
.939
91
.939
92
.936
93
.938
94
.937
95
.937
96
.936
97
.936
98
.934
99
.932
100
.932
101
.932
102
.930
103
.929
104
.930
105
.928
106
.930
107
.930
108
.927
109
.927
110
.927
111
.927
112
.926
113
.925
114
.926
115
.926
116
.925
117
.925
118
.922
119
.923
120
.923
121
.922
122
.921
123
.923
124
.920
125
.922
126
.919
127
.918
128
.917
129
.918
130
.916
131
.917
132
.916
133
.916
134
.915
135
.915
136
.912
137
.914
138
.911
139
.912
140
.912
141
.908
142
.909
143
.906
144
.906
145
.905
146
.905
147
.902
148
.903
149
.901
150
.897
151
.901
152
.898
153
.897
154
.897
155
.897
156
.895
157
.895
158
.894
159
.893
160
.891
161
.891
162
.889
163
.889
164
.888
165
.888
166
.887
167
.889
168
.887
169
.887
170
.886
171
.883
172
.884
173
.883
174
.883
175
.880
176
.880
177
.879
178
.878
179
.878
180
.877
181
.876
182
.873
183
.874
184
.873
185
.873
186
.871
187
.871
188
.871
189
.871
190
.871
191
.869
192
.869
193
.868
194
.867
195
.869
196
.867
197
.867
198
.865
199
.866
200
.865
201
.866
202
.865
203
.864
204
.862
205
.862
206
.862
207
.860
208
.857
209
.856
210
.856
211
.855
212
.854
213
.854
214
.852
215
.852
216
.852
217
.850
218
.848
219
.849
220
.849
221
.848
222
.845
223
.846
224
.845
225
.845
226
.844
227
.842
228
.841
229
.840
230
.837
231
.837
232
.836
233
.835
234
.834
235
.835
236
.833
237
.833
238
.832
239
.832
240
.831
241
.830
242
.831
243
.831
244
.828
245
.828
246
.827
247
.820
248
.821
249
.820
250
.819
251
.820
252
.819
253
.817
254
.816
255
.816
256
.815
257
.813
258
.814
259
.814
260
.813
261
.813
262
.809
263
.808
264
.806
265
.809
266
.807
267
.805
268
.803
269
.800
270
.800
271
.800
272
.801
273
.799
274
.797
275
.795
276
.796
277
.794
278
.793
279
.794
280
.794
281
.793
282
.793
283
.791
284
.791
285
.791
286
.790
287
.789
288
.788
289
.789
290
.789
291
.788
292
.787
293
.789
294
.788
295
.787
296
.787
297
.784
298
.784
299
.782
300
.784
301
.781
302
.779
303
.780
304
.779
305
.774
306
.773
307
.772
308
.771
309
.771
310
.767
311
.765
312
.764
313
.763
314
.763
315
.763
316
.761
317
.758
318
.757
319
.753
320
.752
321
.751
322
.751
323
.747
324
.748
325
.744
326
.743
327
.739
328
.738
329
.737
330
.734
331
.730
332
.727
333
.725
334
.724
335
.724
336
.723
337
.722
338
.721
339
.722
340
.721
341
.721
342
.720
343
.720
344
.720
345
.720
346
.718
347
.717
348
.714
349
.712
350
.711
351
.709
352
.707
353
.705
354
.705
355
.704
356
.702
357
.697
358
.694
359
.687
360
.685
361
.679
362
.679
363
.676
364
.676
365
.675
366
.669
367
.666
368
.653
369
.652
370
.653
371
.653
372
.653
373
.653
374
.654
375
.654
376
.653
377
.653
378
.653
379
.654
380
.653
381
.653
382
.653
383
.652
384
.653
385
.651
386
.649
387
.640
388
.638
389
.633
390
.626
391
.623
392
.623
393
.617
394
.614
395
.614
396
.613
397
.573
398
.532
399
.510
400
.463
401
.462
402
.405
403
.404
404
.404
405
.339
406
.270
407
.269
408
.269
409
.163
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439

Benchmark bibtex

@article{Freeman2013,
            author = {Freeman, Jeremy and Ziemba, Corey M. and Heeger, David J. and Simoncelli, E. P. and Movshon, J. A.},
            doi = {10.1038/nn.3402},
            issn = {10976256},
            journal = {Nature Neuroscience},
            number = {7},
            pages = {974--981},
            pmid = {23685719},
            publisher = {Nature Publishing Group},
            title = {{A functional and perceptual signature of the second visual area in primates}},
            url = {http://dx.doi.org/10.1038/nn.3402},
            volume = {16},
            year = {2013}
            }
            

Ceiling

0.95.

Note that scores are relative to this ceiling.

Data: Marques2020_FreemanZiemba2013

Metric: max_texture