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("SanghaviJozwik2020.V4-pls")
score = benchmark(my_model)

Model scores

Min Alignment Max Alignment

Rank

Model

Score

1
.548
2
.540
3
.527
4
.526
5
.524
6
.518
7
.518
8
.515
9
.514
10
.512
11
.512
12
.512
13
.511
14
.511
15
.510
16
.510
17
.510
18
.510
19
.510
20
.510
21
.510
22
.510
23
.510
24
.509
25
.508
26
.508
27
.508
28
.507
29
.507
30
.507
31
.506
32
.506
33
.506
34
.504
35
.504
36
.504
37
.504
38
.503
39
.503
40
.503
41
.503
42
.503
43
.503
44
.503
45
.503
46
.502
47
.502
48
.502
49
.502
50
.502
51
.502
52
.501
53
.501
54
.501
55
.500
56
.500
57
.500
58
.499
59
.499
60
.498
61
.497
62
.496
63
.496
64
.496
65
.495
66
.494
67
.494
68
.493
69
.493
70
.493
71
.493
72
.493
73
.492
74
.492
75
.492
76
.492
77
.491
78
.491
79
.491
80
.491
81
.490
82
.490
83
.490
84
.490
85
.490
86
.490
87
.490
88
.490
89
.489
90
.489
91
.489
92
.489
93
.488
94
.488
95
.488
96
.488
97
.488
98
.488
99
.488
100
.488
101
.488
102
.487
103
.487
104
.487
105
.487
106
.487
107
.487
108
.487
109
.487
110
.487
111
.487
112
.487
113
.487
114
.487
115
.487
116
.487
117
.487
118
.486
119
.486
120
.485
121
.485
122
.485
123
.484
124
.484
125
.484
126
.483
127
.483
128
.483
129
.483
130
.483
131
.482
132
.482
133
.482
134
.482
135
.482
136
.481
137
.481
138
.481
139
.481
140
.481
141
.481
142
.481
143
.480
144
.480
145
.480
146
.480
147
.480
148
.480
149
.479
150
.479
151
.479
152
.479
153
.479
154
.479
155
.478
156
.478
157
.478
158
.477
159
.477
160
.477
161
.477
162
.477
163
.476
164
.476
165
.476
166
.476
167
.476
168
.476
169
.476
170
.475
171
.475
172
.475
173
.474
174
.474
175
.473
176
.473
177
.473
178
.473
179
.473
180
.472
181
.472
182
.472
183
.471
184
.471
185
.471
186
.471
187
.470
188
.470
189
.470
190
.470
191
.469
192
.469
193
.469
194
.469
195
.469
196
.469
197
.467
198
.465
199
.465
200
.465
201
.464
202
.464
203
.463
204
.463
205
.463
206
.463
207
.462
208
.462
209
.462
210
.462
211
.461
212
.461
213
.461
214
.460
215
.459
216
.459
217
.458
218
.458
219
.458
220
.458
221
.457
222
.457
223
.456
224
.456
225
.456
226
.456
227
.455
228
.455
229
.455
230
.455
231
.455
232
.455
233
.455
234
.454
235
.453
236
.453
237
.452
238
.451
239
.451
240
.451
241
.451
242
.450
243
.450
244
.450
245
.449
246
.448
247
.448
248
.447
249
.447
250
.447
251
.447
252
.447
253
.446
254
.446
255
.445
256
.445
257
.444
258
.443
259
.443
260
.443
261
.443
262
.442
263
.442
264
.441
265
.441
266
.440
267
.440
268
.439
269
.438
270
.438
271
.438
272
.438
273
.438
274
.438
275
.438
276
.438
277
.438
278
.438
279
.438
280
.438
281
.438
282
.437
283
.437
284
.437
285
.436
286
.435
287
.434
288
.433
289
.432
290
.431
291
.430
292
.430
293
.430
294
.430
295
.429
296
.429
297
.429
298
.427
299
.427
300
.425
301
.424
302
.424
303
.423
304
.421
305
.421
306
.420
307
.419
308
.419
309
.418
310
.417
311
.415
312
.415
313
.414
314
.414
315
.414
316
.411
317
.411
318
.408
319
.406
320
.406
321
.406
322
.405
323
.404
324
.403
325
.401
326
.395
327
.394
328
.392
329
.392
330
.384
331
.382
332
.380
333
.380
334
.379
335
.375
336
.374
337
.373
338
.372
339
.371
340
.370
341
.367
342
.360
343
.360
344
.349
345
.347
346
.337
347
.315
348
.308
349
.296
350
.282
351
.281
352
.277
353
.275
354
.275
355
.275
356
.274
357
.273
358
.270
359
.270
360
.268
361
.268
362
.267
363
.250
364
.249
365
.246
366
.245
367
.244
368
.244
369
.236
370
.224
371
.201
372
.198
373
.193
374
.191
375
.069
376
.055
377
.038
378
.036
379
.025
380
.021
381
X
382
X
383
X
384
X
385
X
386
X
387
X
388
X
389
X
390
X
391
X
392
X
393
X
394
X
395
X
396
X
397
X
398
X
399
X
400
X
401
X
402
X
403
X
404
X
405
X
406
X
407
X
408
X
409
X
410
X
411
X
412
X
413
X
414
X

Benchmark bibtex

@misc{Sanghavi_Jozwik_DiCarlo_2021,
  title={SanghaviJozwik2020},
  url={osf.io/fhy36},
  DOI={10.17605/OSF.IO/FHY36},
  publisher={OSF},
  author={Sanghavi, Sachi and Jozwik, Kamila M and DiCarlo, James J},
  year={2021},
  month={Nov}
}

Ceiling

0.96.

Note that scores are relative to this ceiling.

Data: SanghaviJozwik2020.V4

4916 stimuli recordings from 50 sites in V4

Metric: pls