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
.942
6
.938
7
.928
8
.924
9
.920
10
.917
11
.914
12
.910
13
.909
14
.905
15
.904
16
.898
17
.896
18
.881
19
.881
20
.880
21
.881
22
.878
23
.877
24
.871
25
.868
26
.867
27
.864
28
.865
29
.865
30
.864
31
.863
32
.862
33
.861
34
.862
35
.860
36
.859
37
.858
38
.857
39
.857
40
.854
41
.851
42
.850
43
.850
44
.849
45
.847
46
.849
47
.844
48
.843
49
.843
50
.844
51
.843
52
.841
53
.841
54
.842
55
.842
56
.841
57
.841
58
.838
59
.839
60
.838
61
.837
62
.834
63
.835
64
.836
65
.835
66
.834
67
.832
68
.834
69
.834
70
.833
71
.833
72
.832
73
.829
74
.830
75
.830
76
.828
77
.828
78
.829
79
.826
80
.826
81
.825
82
.824
83
.824
84
.823
85
.822
86
.823
87
.821
88
.822
89
.821
90
.820
91
.820
92
.820
93
.820
94
.820
95
.818
96
.820
97
.820
98
.819
99
.819
100
.819
101
.818
102
.818
103
.818
104
.816
105
.815
106
.816
107
.814
108
.814
109
.814
110
.813
111
.814
112
.813
113
.812
114
.810
115
.811
116
.809
117
.807
118
.808
119
.808
120
.809
121
.807
122
.807
123
.805
124
.802
125
.801
126
.802
127
.803
128
.801
129
.797
130
.797
131
.798
132
.797
133
.797
134
.797
135
.796
136
.795
137
.793
138
.792
139
.791
140
.789
141
.789
142
.788
143
.788
144
.786
145
.786
146
.786
147
.785
148
.784
149
.784
150
.783
151
.784
152
.784
153
.783
154
.783
155
.783
156
.782
157
.782
158
.782
159
.780
160
.780
161
.780
162
.781
163
.780
164
.780
165
.779
166
.778
167
.777
168
.778
169
.776
170
.776
171
.775
172
.776
173
.775
174
.773
175
.773
176
.772
177
.770
178
.770
179
.770
180
.770
181
.769
182
.767
183
.767
184
.766
185
.766
186
.766
187
.766
188
.764
189
.765
190
.763
191
.763
192
.761
193
.760
194
.758
195
.758
196
.755
197
.754
198
.755
199
.754
200
.752
201
.752
202
.752
203
.752
204
.751
205
.751
206
.748
207
.747
208
.748
209
.747
210
.747
211
.747
212
.746
213
.745
214
.745
215
.743
216
.742
217
.740
218
.741
219
.739
220
.739
221
.738
222
.738
223
.736
224
.734
225
.734
226
.731
227
.730
228
.729
229
.729
230
.729
231
.730
232
.728
233
.726
234
.724
235
.723
236
.724
237
.723
238
.722
239
.721
240
.721
241
.720
242
.719
243
.718
244
.717
245
.716
246
.718
247
.717
248
.715
249
.714
250
.714
251
.713
252
.713
253
.713
254
.711
255
.711
256
.711
257
.710
258
.709
259
.709
260
.708
261
.707
262
.706
263
.705
264
.704
265
.705
266
.705
267
.704
268
.702
269
.703
270
.700
271
.701
272
.699
273
.699
274
.699
275
.698
276
.697
277
.694
278
.695
279
.694
280
.692
281
.692
282
.690
283
.688
284
.686
285
.687
286
.686
287
.686
288
.683
289
.683
290
.684
291
.683
292
.684
293
.682
294
.681
295
.678
296
.679
297
.678
298
.678
299
.673
300
.671
301
.670
302
.667
303
.667
304
.664
305
.665
306
.664
307
.663
308
.662
309
.661
310
.660
311
.659
312
.659
313
.655
314
.655
315
.654
316
.654
317
.652
318
.652
319
.651
320
.649
321
.650
322
.648
323
.645
324
.646
325
.643
326
.642
327
.641
328
.641
329
.639
330
.638
331
.636
332
.635
333
.633
334
.634
335
.633
336
.632
337
.622
338
.621
339
.617
340
.614
341
.615
342
.611
343
.610
344
.609
345
.604
346
.604
347
.601
348
.602
349
.600
350
.600
351
.599
352
.589
353
.588
354
.585
355
.582
356
.579
357
.579
358
.578
359
.578
360
.578
361
.577
362
.575
363
.575
364
.571
365
.568
366
.559
367
.559
368
.557
369
.555
370
.553
371
.553
372
.547
373
.544
374
.539
375
.532
376
.532
377
.529
378
.516
379
.503
380
.500
381
.490
382
.481
383
.475
384
.461
385
.453
386
.451
387
.449
388
.449
389
.405
390
.401
391
.400
392
.388
393
.386
394
.385
395
.383
396
.379
397
.358
398
.280
399
.209
400
.209
401
.209
402
.208
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

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