Open X-Embodiment
1M+ real-robot trajectories from 20+ institutions.
EgoXtreme: A Dataset for Robust Object Pose Estimation in Egocentric Views under Extreme Conditions 📖 Dataset Information EgoXtreme is a novel large-scale dataset designed for robust egocentric 6D object pose estimation under extreme environmental conditions. The dataset comprises approximately 1.3 million frames with a total duration of 775.5 minutes (~12.9 hours). It was captured at 30 fps using Aria glasses, providing high-resolution 1408 x 1408 raw fisheye RGB… See the full description on the dataset page:
Source: Hugging Face Hub (taegyoun88/egoxtreme). Metadata imported from the dataset’s Hub tags.