Object Pose Estimation

The OnePose dataset contains over 450 video sequences of 150 objects. For each object, multiple video recordings, accompanied camera poses and 3D bounding box annotations are provided. These sequences are collected under different background environments, and each has an average recording-length of 30 seconds covering all views of the object. The dataset is randomly divided into training and validation sets. For each object in the validation set, we assign one mapping sequence for building the SfM map and use a test sequence for the evaluation.