mpi inf 3dhp

MPI-INF-3DHP (Max Planck Institute for Informatics 3D Human Pose dataset) is a large-scale benchmark dataset for 3D human pose estimation. It consists of 3D ground-truth poses obtained from motion capture (mocap) systems, and a corresponding set of RGB images and 2D joints obtained from state-of-the-art 2D pose estimation methods. The dataset contains over 60,000 frames of 17 subjects performing a range of activities, including walking, running, dancing, and weightlifting. The dataset is intended to facilitate research in the field of 3D human pose estimation, which has applications in fields such as computer vision, robotics, and virtual reality. The dataset is publicly available and has been used in numerous research studies.