# 2D Human Whole-Body Pose Estimation
2D human whole-body pose estimation aims to localize dense landmarks on the entire human body including face, hands, body, and feet.
Existing approaches can be categorized into top-down and bottom-up approaches.
Top-down methods divide the task into two stages: human detection and whole-body pose estimation. They perform human detection first, followed by single-person whole-body pose estimation given human bounding boxes.
Bottom-up approaches (e.g. AE) first detect all the whole-body keypoints and then group/associate them into person instances.
## Data preparation
Please follow [DATA Preparation](/docs/en/tasks/2d_wholebody_keypoint.md) to prepare data.
## Demo
Please follow [Demo](/demo/docs/2d_wholebody_pose_demo.md) to run demos.
