PASS (Pictures without humAns for Self-Supervision)
Introduced by Asano et al. in PASS: An ImageNet replacement for self-supervised pretraining without humans
PASS is a large-scale image dataset, containing 1.4 million images, that does not include any humans and which can be used for high-quality pretraining while significantly reducing privacy concerns.
Papers
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