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
.968
57
.968
58
.968
59
.968
60
.968
61
.968
62
.968
63
.952
64
.952
65
.952
66
.952
67
.952
68
.952
69
.952
70
.952
71
.877
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
.862
86
.862
87
.862
88
.862
89
.862
90
.862
91
.862
92
.794
93
.794
94
.794
95
.794
96
.794
97
.794
98
.794
99
.780
100
.780
101
.780
102
.719
103
.719
104
.719
105
.719
106
.719
107
.706
108
.706
109
.706
110
.706
111
.650
112
.650
113
.650
114
.650
115
.640
116
.640
117
.640
118
.640
119
.589
120
.589
121
.589
122
.589
123
.589
124
.579
125
.579
126
.579
127
.579
128
.533
129
.524
130
.483
131
.483
132
.483
133
.483
134
.483
135
.474
136
.437
137
.437
138
.437
139
.437
140
.437
141
.430
142
.430
143
.430
144
.430
145
.430
146
.396
147
.396
148
.396
149
.396
150
.389
151
.389
152
.389
153
.358
154
.358
155
.358
156
.358
157
.358
158
.358
159
.358
160
.358
161
.352
162
.352
163
.324
164
.324
165
.319
166
.319
167
.293
168
.293
169
.293
170
.293
171
.266
172
.266
173
.266
174
.266
175
.261
176
.261
177
.261
178
.261
179
.240
180
.236
181
.236
182
.236
183
.218
184
.218
185
.218
186
.218
187
.218
188
.214
189
.178
190
.175
191
.175
192
.159
193
.159
194
.146
195
.146
196
.146
197
.098
198
.098
199
.089
200
.089
201
.066
202
.060
203
.022
204
X
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

0.90.

Note that scores are relative to this ceiling.

Data: Ferguson2024color

Metric: value_delta