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("Ferguson2024color-value_delta")
score = benchmark(my_model)

Model scores

Min Alignment Max Alignment

Rank

Model

Score

1
1.0
2
1.0
3
1.0
4
1.0
5
1.0
6
1.0
7
1.0
8
1.0
9
1.0
10
1.0
11
1.0
12
1.0
13
1.0
14
1.0
15
1.0
16
1.0
17
1.0
18
1.0
19
1.0
20
1.0
21
1.0
22
1.0
23
1.0
24
1.0
25
1.0
26
1.0
27
1.0
28
1.0
29
1.0
30
1.0
31
1.0
32
1.0
33
1.0
34
1.0
35
1.0
36
1.0
37
1.0
38
1.0
39
1.0
40
1.0
41
1.0
42
1.0
43
1.0
44
1.0
45
1.0
46
1.0
47
1.0
48
1.0
49
1.0
50
1.0
51
1.0
52
1.0
53
1.0
54
1.0
55
1.0
56
1.0
57
.968
58
.968
59
.968
60
.968
61
.968
62
.968
63
.968
64
.952
65
.952
66
.952
67
.952
68
.952
69
.952
70
.952
71
.952
72
.877
73
.877
74
.877
75
.877
76
.877
77
.877
78
.877
79
.877
80
.877
81
.877
82
.877
83
.877
84
.877
85
.877
86
.877
87
.862
88
.862
89
.862
90
.862
91
.862
92
.862
93
.862
94
.794
95
.794
96
.794
97
.794
98
.794
99
.794
100
.794
101
.794
102
.794
103
.780
104
.780
105
.780
106
.719
107
.719
108
.719
109
.719
110
.719
111
.719
112
.706
113
.706
114
.706
115
.706
116
.650
117
.650
118
.650
119
.650
120
.640
121
.640
122
.640
123
.640
124
.640
125
.589
126
.589
127
.589
128
.589
129
.589
130
.579
131
.579
132
.579
133
.579
134
.579
135
.533
136
.533
137
.524
138
.483
139
.483
140
.483
141
.483
142
.483
143
.483
144
.474
145
.474
146
.437
147
.437
148
.437
149
.437
150
.437
151
.430
152
.430
153
.430
154
.430
155
.430
156
.396
157
.396
158
.396
159
.396
160
.389
161
.389
162
.389
163
.358
164
.358
165
.358
166
.358
167
.358
168
.358
169
.358
170
.358
171
.352
172
.352
173
.352
174
.324
175
.324
176
.319
177
.319
178
.293
179
.293
180
.293
181
.293
182
.293
183
.293
184
.266
185
.266
186
.266
187
.266
188
.266
189
.261
190
.261
191
.261
192
.261
193
.240
194
.236
195
.236
196
.236
197
.218
198
.218
199
.218
200
.218
201
.214
202
.178
203
.175
204
.175
205
.159
206
.159
207
.159
208
.146
209
.146
210
.146
211
.098
212
.098
213
.089
214
.089
215
.066
216
.060
217
.022
218
219

Benchmark bibtex

        @misc{ferguson_ngo_lee_dicarlo_schrimpf_2024,
         title={How Well is Visual Search Asymmetry predicted by a Binary-Choice, Rapid, Accuracy-based Visual-search, Oddball-detection (BRAVO) task?},
         url={osf.io/5ba3n},
         DOI={10.17605/OSF.IO/5BA3N},
         publisher={OSF},
         author={Ferguson, Michael E, Jr and Ngo, Jerry and Lee, Michael and DiCarlo, James and Schrimpf, Martin},
         year={2024},
         month={Jun}
}

Ceiling

0.90.

Note that scores are relative to this ceiling.

Data: Ferguson2024color

Metric: value_delta