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("Ferguson2024tilted_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
1.0
16
1.0
17
1.0
18
1.0
19
1.0
20
.975
21
.975
22
.975
23
.975
24
.975
25
.917
26
.917
27
.917
28
.917
29
.917
30
.917
31
.917
32
.883
33
.883
34
.883
35
.883
36
.883
37
.883
38
.831
39
.831
40
.831
41
.831
42
.831
43
.831
44
.831
45
.831
46
.831
47
.831
48
.831
49
.800
50
.800
51
.800
52
.800
53
.800
54
.800
55
.800
56
.800
57
.800
58
.800
59
.800
60
.753
61
.753
62
.753
63
.753
64
.753
65
.753
66
.753
67
.725
68
.682
69
.682
70
.682
71
.682
72
.682
73
.682
74
.682
75
.682
76
.682
77
.682
78
.657
79
.657
80
.657
81
.657
82
.657
83
.657
84
.657
85
.657
86
.657
87
.657
88
.657
89
.657
90
.657
91
.657
92
.657
93
.657
94
.657
95
.657
96
.657
97
.657
98
.657
99
.657
100
.657
101
.657
102
.657
103
.657
104
.657
105
.657
106
.657
107
.657
108
.657
109
.657
110
.657
111
.618
112
.618
113
.618
114
.618
115
.618
116
.618
117
.595
118
.595
119
.595
120
.595
121
.560
122
.560
123
.539
124
.539
125
.539
126
.539
127
.539
128
.507
129
.507
130
.507
131
.507
132
.489
133
.489
134
.489
135
.489
136
.460
137
.460
138
.460
139
.460
140
.443
141
.443
142
.443
143
.443
144
.443
145
.443
146
.443
147
.443
148
.417
149
.417
150
.417
151
.401
152
.401
153
.401
154
.401
155
.401
156
.377
157
.377
158
.377
159
.377
160
.377
161
.377
162
.377
163
.363
164
.363
165
.363
166
.363
167
.342
168
.329
169
.329
170
.329
171
.310
172
.310
173
.310
174
.310
175
.310
176
.310
177
.298
178
.281
179
.281
180
.281
181
.270
182
.254
183
.254
184
.245
185
.245
186
.245
187
.230
188
.230
189
.222
190
.222
191
.222
192
.222
193
.209
194
.189
195
.182
196
.171
197
.165
198
.155
199
.141
200
.141
201
.135
202
.135
203
.135
204
.116
205
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

0.91.

Note that scores are relative to this ceiling.

Data: Ferguson2024tilted_line

Metric: value_delta