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-texture_selectivity")
score = benchmark(my_model)

Model scores

Min Alignment Max Alignment

Rank

Model

Score

1
.981
2
.977
3
.977
4
.968
5
.944
6
.942
7
.938
8
.928
9
.924
10
.920
11
.917
12
.914
13
.910
14
.909
15
.905
16
.906
17
.904
18
.900
19
.898
20
.896
21
.881
22
.881
23
.880
24
.881
25
.878
26
.877
27
.871
28
.868
29
.867
30
.864
31
.865
32
.865
33
.863
34
.864
35
.863
36
.861
37
.862
38
.860
39
.859
40
.858
41
.857
42
.857
43
.854
44
.851
45
.850
46
.850
47
.849
48
.847
49
.849
50
.844
51
.843
52
.843
53
.844
54
.843
55
.841
56
.841
57
.842
58
.842
59
.841
60
.841
61
.838
62
.839
63
.838
64
.837
65
.834
66
.835
67
.836
68
.835
69
.834
70
.832
71
.834
72
.834
73
.833
74
.833
75
.832
76
.829
77
.830
78
.830
79
.828
80
.828
81
.829
82
.826
83
.826
84
.826
85
.825
86
.825
87
.824
88
.824
89
.823
90
.822
91
.823
92
.821
93
.822
94
.821
95
.820
96
.820
97
.820
98
.820
99
.820
100
.818
101
.820
102
.820
103
.819
104
.819
105
.819
106
.818
107
.818
108
.818
109
.818
110
.816
111
.815
112
.816
113
.814
114
.814
115
.814
116
.813
117
.814
118
.813
119
.812
120
.810
121
.811
122
.809
123
.807
124
.808
125
.808
126
.809
127
.807
128
.807
129
.805
130
.802
131
.801
132
.802
133
.803
134
.801
135
.797
136
.797
137
.798
138
.797
139
.797
140
.797
141
.796
142
.795
143
.793
144
.792
145
.791
146
.789
147
.789
148
.788
149
.788
150
.786
151
.786
152
.786
153
.785
154
.784
155
.784
156
.783
157
.784
158
.784
159
.783
160
.783
161
.783
162
.782
163
.782
164
.782
165
.780
166
.780
167
.780
168
.781
169
.780
170
.780
171
.779
172
.778
173
.777
174
.778
175
.776
176
.776
177
.775
178
.776
179
.773
180
.775
181
.773
182
.773
183
.772
184
.770
185
.770
186
.770
187
.770
188
.769
189
.767
190
.767
191
.766
192
.766
193
.766
194
.766
195
.764
196
.765
197
.764
198
.763
199
.763
200
.761
201
.760
202
.758
203
.758
204
.755
205
.754
206
.755
207
.754
208
.752
209
.752
210
.752
211
.752
212
.751
213
.751
214
.748
215
.747
216
.748
217
.747
218
.747
219
.747
220
.746
221
.745
222
.745
223
.743
224
.742
225
.740
226
.741
227
.739
228
.739
229
.738
230
.738
231
.736
232
.734
233
.734
234
.731
235
.730
236
.729
237
.729
238
.729
239
.730
240
.728
241
.726
242
.724
243
.723
244
.724
245
.723
246
.722
247
.721
248
.721
249
.719
250
.718
251
.717
252
.716
253
.718
254
.717
255
.715
256
.714
257
.714
258
.713
259
.713
260
.713
261
.711
262
.711
263
.711
264
.710
265
.709
266
.709
267
.708
268
.707
269
.706
270
.705
271
.705
272
.704
273
.705
274
.704
275
.702
276
.703
277
.700
278
.699
279
.699
280
.698
281
.697
282
.694
283
.695
284
.694
285
.692
286
.692
287
.688
288
.686
289
.687
290
.686
291
.686
292
.683
293
.683
294
.684
295
.683
296
.684
297
.682
298
.681
299
.681
300
.678
301
.679
302
.678
303
.678
304
.673
305
.671
306
.670
307
.667
308
.667
309
.665
310
.664
311
.663
312
.662
313
.661
314
.660
315
.659
316
.655
317
.655
318
.654
319
.654
320
.652
321
.652
322
.651
323
.649
324
.650
325
.648
326
.645
327
.646
328
.643
329
.642
330
.641
331
.641
332
.639
333
.638
334
.636
335
.635
336
.633
337
.633
338
.632
339
.622
340
.621
341
.617
342
.614
343
.615
344
.611
345
.610
346
.609
347
.604
348
.604
349
.601
350
.602
351
.600
352
.600
353
.599
354
.589
355
.588
356
.585
357
.582
358
.579
359
.579
360
.578
361
.578
362
.578
363
.577
364
.575
365
.575
366
.571
367
.568
368
.559
369
.559
370
.555
371
.553
372
.553
373
.544
374
.539
375
.532
376
.529
377
.516
378
.503
379
.500
380
.490
381
.481
382
.475
383
.461
384
.453
385
.451
386
.449
387
.449
388
.405
389
.401
390
.400
391
.388
392
.386
393
.385
394
.383
395
.379
396
.358
397
.280
398
.209
399
.209
400
.209
401
.208
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433

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

0.94.

Note that scores are relative to this ceiling.

Data: Marques2020_FreemanZiemba2013

Metric: texture_selectivity