IDEA-Research/HumanArt
[CVPR 2023] The official implementation of CVPR 2023 paper "Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes"
This project provides a large dataset, Human-Art, containing 50,000 images across 20 diverse scenarios, featuring both real and artificial human figures. Each image includes detailed annotations for human bounding boxes, 2D keypoints, self-contact keypoints, and descriptive text. It's designed for researchers and developers working on computer vision tasks like detecting humans, estimating 2D and 3D human poses, and generating realistic or stylized human images.
275 stars. No commits in the last 6 months.
Use this if you need a comprehensive, multi-scenario dataset to train and evaluate models for human detection, pose estimation, or controllable human image generation across various contexts, including out-of-domain scenarios.
Not ideal if your project focuses solely on highly specific niche applications that do not involve general human detection or pose understanding.
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Last pushed
Oct 03, 2023
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