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("Ferguson2024circle_line-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
.935
16
.935
17
.931
18
.931
19
.931
20
.931
21
.848
22
.848
23
.845
24
.845
25
.845
26
.845
27
.845
28
.845
29
.770
30
.767
31
.767
32
.767
33
.699
34
.696
35
.696
36
.696
37
.696
38
.696
39
.696
40
.634
41
.632
42
.632
43
.632
44
.632
45
.632
46
.573
47
.573
48
.573
49
.573
50
.573
51
.573
52
.573
53
.573
54
.573
55
.522
56
.522
57
.522
58
.522
59
.520
60
.520
61
.520
62
.520
63
.520
64
.520
65
.520
66
.520
67
.520
68
.472
69
.472
70
.472
71
.472
72
.472
73
.430
74
.430
75
.428
76
.428
77
.428
78
.428
79
.428
80
.428
81
.428
82
.428
83
.428
84
.390
85
.389
86
.389
87
.389
88
.389
89
.389
90
.389
91
.353
92
.353
93
.353
94
.353
95
.353
96
.353
97
.353
98
.353
99
.353
100
.353
101
.322
102
.322
103
.320
104
.320
105
.320
106
.320
107
.320
108
.320
109
.320
110
.320
111
.320
112
.320
113
.291
114
.291
115
.291
116
.291
117
.291
118
.291
119
.291
120
.264
121
.264
122
.264
123
.264
124
.264
125
.264
126
.264
127
.264
128
.264
129
.240
130
.240
131
.239
132
.239
133
.239
134
.239
135
.239
136
.239
137
.239
138
.239
139
.239
140
.217
141
.217
142
.217
143
.217
144
.217
145
.217
146
.198
147
.198
148
.197
149
.197
150
.197
151
.179
152
.179
153
.179
154
.179
155
.179
156
.162
157
.162
158
.162
159
.162
160
.162
161
.147
162
.147
163
.147
164
.147
165
.134
166
.121
167
.121
168
.121
169
.110
170
.110
171
.110
172
.100
173
.100
174
.091
175
.091
176
.082
177
.082
178
.082
179
.075
180
.075
181
.075
182
.068
183
.068
184
.068
185
.068
186
.068
187
.068
188
.068
189
.068
190
.062
191
.062
192
.046
193
.046
194
.046
195
.046
196
.046
197
.034
198
.034
199
.034
200
.031
201
.021
202
.014
203
X

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

0.88.

Note that scores are relative to this ceiling.

Data: Ferguson2024circle_line

Metric: value_delta