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
.938
6
.928
7
.924
8
.920
9
.917
10
.914
11
.910
12
.909
13
.905
14
.904
15
.898
16
.896
17
.881
18
.880
19
.878
20
.877
21
.871
22
.868
23
.867
24
.864
25
.865
26
.865
27
.864
28
.863
29
.862
30
.861
31
.862
32
.860
33
.859
34
.858
35
.857
36
.857
37
.854
38
.851
39
.850
40
.850
41
.849
42
.847
43
.849
44
.844
45
.843
46
.843
47
.844
48
.843
49
.841
50
.841
51
.842
52
.842
53
.841
54
.841
55
.839
56
.838
57
.837
58
.834
59
.835
60
.835
61
.834
62
.834
63
.834
64
.833
65
.833
66
.832
67
.829
68
.830
69
.830
70
.828
71
.828
72
.829
73
.826
74
.826
75
.825
76
.824
77
.824
78
.823
79
.822
80
.823
81
.822
82
.821
83
.820
84
.820
85
.820
86
.820
87
.818
88
.820
89
.820
90
.819
91
.819
92
.819
93
.818
94
.818
95
.818
96
.816
97
.815
98
.816
99
.814
100
.814
101
.814
102
.813
103
.814
104
.813
105
.812
106
.810
107
.811
108
.809
109
.807
110
.808
111
.808
112
.809
113
.807
114
.807
115
.805
116
.801
117
.802
118
.803
119
.801
120
.797
121
.797
122
.798
123
.797
124
.797
125
.797
126
.795
127
.793
128
.792
129
.791
130
.789
131
.789
132
.788
133
.788
134
.786
135
.786
136
.786
137
.785
138
.784
139
.784
140
.783
141
.784
142
.784
143
.783
144
.783
145
.783
146
.782
147
.782
148
.782
149
.780
150
.780
151
.780
152
.781
153
.780
154
.780
155
.779
156
.778
157
.777
158
.778
159
.776
160
.776
161
.775
162
.776
163
.775
164
.773
165
.773
166
.772
167
.770
168
.770
169
.770
170
.770
171
.769
172
.767
173
.767
174
.766
175
.766
176
.766
177
.764
178
.765
179
.763
180
.763
181
.761
182
.760
183
.758
184
.755
185
.754
186
.754
187
.752
188
.752
189
.752
190
.752
191
.751
192
.751
193
.748
194
.747
195
.748
196
.747
197
.747
198
.745
199
.745
200
.743
201
.740
202
.739
203
.739
204
.738
205
.738
206
.736
207
.734
208
.734
209
.731
210
.730
211
.729
212
.729
213
.726
214
.724
215
.723
216
.724
217
.723
218
.722
219
.721
220
.718
221
.717
222
.716
223
.718
224
.717
225
.715
226
.714
227
.714
228
.713
229
.713
230
.713
231
.711
232
.711
233
.711
234
.710
235
.709
236
.709
237
.708
238
.707
239
.706
240
.705
241
.704
242
.705
243
.704
244
.702
245
.703
246
.700
247
.699
248
.699
249
.698
250
.697
251
.694
252
.695
253
.694
254
.692
255
.692
256
.689
257
.687
258
.687
259
.687
260
.687
261
.687
262
.687
263
.687
264
.686
265
.687
266
.686
267
.686
268
.683
269
.683
270
.684
271
.683
272
.682
273
.681
274
.678
275
.679
276
.678
277
.678
278
.673
279
.671
280
.667
281
.667
282
.665
283
.664
284
.663
285
.662
286
.661
287
.660
288
.659
289
.655
290
.655
291
.654
292
.654
293
.652
294
.652
295
.651
296
.649
297
.650
298
.648
299
.645
300
.646
301
.643
302
.642
303
.641
304
.641
305
.638
306
.636
307
.635
308
.632
309
.621
310
.617
311
.614
312
.615
313
.611
314
.610
315
.609
316
.604
317
.602
318
.600
319
.600
320
.599
321
.585
322
.582
323
.579
324
.579
325
.578
326
.578
327
.577
328
.575
329
.575
330
.571
331
.559
332
.555
333
.553
334
.553
335
.547
336
.544
337
.539
338
.532
339
.529
340
.516
341
.503
342
.500
343
.490
344
.481
345
.475
346
.461
347
.453
348
.451
349
.442
350
.405
351
.388
352
.385
353
.383
354
.379
355
.358
356
.280
357
.209
358
.209
359
.209
360
.208
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387

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