Leaderboard Explore Compare Profile Community Blog FAQ Competition 2024 Report Issue

Scores on benchmarks

Model rank shown below is with respect to all public models.

.071	average_vision rank 425 99 benchmarks	.071 0 ceiling best median

.141	behavior_vision rank 262 43 benchmarks	.141 0 ceiling best median

.130	BMD2024 rank 160 4 benchmarks	.130 0 ceiling best median

.104	BMD2024.dotted_1Behavioral-accuracy_distance v1 rank 147	.104 0 ceiling best median
	100 images Sample stimuli cannot be displayed publicly for this benchmark.

.126	BMD2024.dotted_2Behavioral-accuracy_distance v1 rank 127	.126 0 ceiling best median
	100 images Sample stimuli cannot be displayed publicly for this benchmark.

.155	BMD2024.texture_1Behavioral-accuracy_distance v1 rank 138	.155 0 ceiling best median
	100 images Sample stimuli cannot be displayed publicly for this benchmark.

.136	BMD2024.texture_2Behavioral-accuracy_distance v1 rank 150	.136 0 ceiling best median
	100 images Sample stimuli cannot be displayed publicly for this benchmark.

1.0	Hebart2023-match v1 rank 1	1.0 0 ceiling best median
	1854 images Sample stimuli cannot be displayed publicly for this benchmark.

How to use

from brainscore_vision import load_model
model = load_model("bp_resnet50_julios")
model.start_task(...)
model.start_recording(...)
model.look_at(...)

Model API

Code examples

Brain Encoding Response Generator (BERG)

Through the BERG you can easily generate neural responses to images of your choice using any Brain-Score vision model.

For more information on how to use BERG, see the documentation and tutorial.

Benchmarks bibtex

Layer Commitment

No layer commitments found for this model. Older submissions might not have stored this information but will be updated when evaluated on new benchmarks.

Visual Angle

None degrees