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The APAC-Egocentric-Stereo dataset provides first-person recordings of people working in industrial and other jobs, featuring stereo video, depth maps, tracking, and captions, now available in FiftyOne format on Hugging Face.
Lightwheel AI and Hugging Face have open-sourced EgoSuite-Open100K, the largest fully annotated egocentric human dataset with 100,000 hours of data, emphasizing scaling laws for physical AI.
LightwheelAI and Hugging Face have released EgoSuite-Open100K, a large-scale open dataset of 100,000 hours of egocentric human activities, fully annotated and available in LeRobot format for AI research and training.
A flow-matching model generates diverse human grasps from RGB-D images, enabling zero-shot robotic grasping with improved performance over existing methods. The model, trained on a large egocentric dataset, significantly outperforms state-of-the-art baselines on a new benchmark.