About
In this repository, we gather a collection of images featuring people, both labelled and unlabelled. The primary objective of this dataset is to serve as training data for self-supervised models that focus on recognizing individuals within the images. Using this trained model, it becomes possible to tackle a range of related tasks with limited labelled data, including human pose estimation, human segmentation, human classification, human activity recognition, and human object detection.
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65K image files > 99%
5 text files < 1%
