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

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