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

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