PACE: A Large-Scale Dataset with Pose Annotations in Cluttered Environments

arXiv:2312.15130v2 Announce Type: replace
Abstract: Pose estimation is a crucial task in computer vision and robotics, enabling the tracking and manipulation of objects in images or videos. While several datasets exist for pose estimation, there is a lack of large-scale datasets specifically focusing on cluttered scenes with occlusions. We introduce PACE (Pose Annotations in Cluttered Environments), a large-scale benchmark designed to advance the development and evaluation of pose estimation methods in cluttered scenarios. PACE consists of 54,945 frames with 257,673 …

annotations arxiv cs.cv dataset environments scale type