# Human Body 2D Pose Estimation Multi-person human pose estimation is defined as the task of detecting the poses (or keypoints) of all people from an input image. Existing approaches can be categorized into top-down and bottom-up approaches. Top-down methods (e.g. DeepPose) divide the task into two stages: human detection and pose estimation. They perform human detection first, followed by single-person pose estimation given human bounding boxes. Bottom-up approaches (e.g. Associative Embedding) first detect all the keypoints and then group/associate them into person instances. ## Data preparation Please follow [DATA Preparation](/docs/en/dataset_zoo/2d_body_keypoint.md) to prepare data. ## Demo Please follow [Demo](/demo/docs/en/2d_human_pose_demo.md#2d-human-pose-demo) to run demos.