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PASS
An ImageNet replacement for self-supervised pretraining without humans
PASS is a large-scale image dataset that does not include any humans and which can be used for high-quality pretraining while significantly reducing privacy concerns.
Visual Geometry Group, University of Oxford
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Task
Image Classification
Annotation Types
Classification Tags
6000000
Items
20000
Classes
6000000
Labels
Models using this dataset
Last updated on
October 31, 2023
Licensed under
CC-BY
