LIP (Look into Person)
Introduced by Gong et al. in Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing
The LIP (Look into Person) dataset is a large-scale dataset focusing on semantic understanding of a person. It contains 50,000 images with elaborated pixel-wise annotations of 19 semantic human part labels and 2D human poses with 16 key points. The images are collected from real-world scenarios and the subjects appear with challenging poses and view, heavy occlusions, various appearances and low resolution.
Source: http://sysu-hcp.net/lip/
Papers
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