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_sparseness")
score = benchmark(my_model)

Model scores

Min Alignment Max Alignment

Rank

Model

Score

1
.930
2
.919
3
.917
4
.912
5
.908
6
.908
7
.907
8
.900
9
.897
10
.894
11
.886
12
.885
13
.884
14
.878
15
.877
16
.879
17
.876
18
.875
19
.874
20
.870
21
.868
22
.866
23
.863
24
.861
25
.856
26
.857
27
.853
28
.849
29
.851
30
.847
31
.845
32
.845
33
.844
34
.843
35
.843
36
.842
37
.843
38
.841
39
.841
40
.841
41
.838
42
.839
43
.837
44
.839
45
.838
46
.835
47
.834
48
.832
49
.833
50
.832
51
.830
52
.829
53
.829
54
.827
55
.825
56
.825
57
.824
58
.823
59
.822
60
.823
61
.820
62
.817
63
.814
64
.814
65
.814
66
.813
67
.813
68
.812
69
.811
70
.811
71
.808
72
.806
73
.805
74
.806
75
.804
76
.804
77
.803
78
.802
79
.802
80
.801
81
.801
82
.800
83
.799
84
.798
85
.798
86
.799
87
.796
88
.795
89
.794
90
.794
91
.793
92
.794
93
.793
94
.791
95
.792
96
.791
97
.790
98
.789
99
.789
100
.787
101
.787
102
.786
103
.784
104
.783
105
.781
106
.780
107
.780
108
.781
109
.779
110
.778
111
.780
112
.778
113
.779
114
.777
115
.777
116
.777
117
.776
118
.778
119
.776
120
.776
121
.775
122
.776
123
.773
124
.772
125
.771
126
.769
127
.769
128
.768
129
.767
130
.767
131
.767
132
.766
133
.766
134
.766
135
.764
136
.762
137
.764
138
.762
139
.761
140
.763
141
.762
142
.762
143
.762
144
.761
145
.761
146
.759
147
.758
148
.756
149
.755
150
.752
151
.752
152
.751
153
.751
154
.750
155
.749
156
.747
157
.746
158
.746
159
.741
160
.742
161
.741
162
.741
163
.738
164
.738
165
.737
166
.737
167
.735
168
.737
169
.736
170
.734
171
.731
172
.731
173
.728
174
.726
175
.726
176
.725
177
.727
178
.718
179
.717
180
.715
181
.715
182
.714
183
.711
184
.710
185
.711
186
.709
187
.708
188
.707
189
.706
190
.705
191
.703
192
.702
193
.702
194
.700
195
.700
196
.701
197
.700
198
.699
199
.699
200
.696
201
.696
202
.695
203
.695
204
.692
205
.692
206
.691
207
.690
208
.688
209
.687
210
.687
211
.687
212
.686
213
.684
214
.684
215
.684
216
.681
217
.681
218
.680
219
.680
220
.679
221
.679
222
.677
223
.677
224
.677
225
.676
226
.673
227
.671
228
.669
229
.667
230
.668
231
.668
232
.666
233
.667
234
.666
235
.663
236
.664
237
.663
238
.663
239
.659
240
.658
241
.658
242
.658
243
.658
244
.655
245
.655
246
.654
247
.651
248
.651
249
.647
250
.646
251
.645
252
.645
253
.644
254
.644
255
.643
256
.643
257
.643
258
.642
259
.642
260
.642
261
.641
262
.640
263
.639
264
.634
265
.634
266
.632
267
.632
268
.631
269
.631
270
.630
271
.630
272
.625
273
.624
274
.622
275
.622
276
.620
277
.616
278
.616
279
.615
280
.613
281
.611
282
.607
283
.606
284
.603
285
.603
286
.601
287
.599
288
.600
289
.600
290
.598
291
.597
292
.596
293
.597
294
.594
295
.594
296
.593
297
.594
298
.593
299
.592
300
.591
301
.589
302
.588
303
.586
304
.586
305
.584
306
.582
307
.583
308
.582
309
.582
310
.579
311
.572
312
.572
313
.570
314
.569
315
.565
316
.560
317
.555
318
.554
319
.554
320
.550
321
.548
322
.548
323
.546
324
.545
325
.543
326
.543
327
.543
328
.542
329
.543
330
.542
331
.543
332
.542
333
.542
334
.541
335
.534
336
.533
337
.529
338
.523
339
.515
340
.513
341
.511
342
.509
343
.509
344
.508
345
.500
346
.498
347
.497
348
.490
349
.487
350
.486
351
.467
352
.455
353
.451
354
.451
355
.451
356
.439
357
.433
358
.430
359
.422
360
.412
361
.404
362
.386
363
.376
364
.358
365
.347
366
.338
367
.330
368
.329
369
.325
370
.325
371
.254
372
.241
373
.210
374
.164
375
.157
376
.094
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400

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

0.93.

Note that scores are relative to this ceiling.

Data: Marques2020_FreemanZiemba2013

Metric: texture_sparseness