Hugging Face Expands LeRobot with L2D Dataset for Self-Driving AI Training

Hugging Face Expands LeRobot with L2D Dataset for Self-Driving AI Training

Last year, Hugging Face, the AI dev platform, launched LeRobot, a collection of open AI models, datasets, and tools to help build real-world robotics systems. On Tuesday, Hugging Face teamed up with AI startup Yaak to expand LeRobot with a training set for robots and cars that can navigate environments, like city streets, autonomously.  Image:Hugging Face The new set, called Learning to Drive (L2D), is more than a petabyte in size, and contains data from sensors that were installed on cars in German driving schools. L2D captures camera, GPS, and “vehicle dynamics” data from driving instructors and students navigating streets with construction zones, intersections, highways, and more. There are a number of open self-driving training sets out there from companies including Alphabet’s Waymo and Comma AI. But many of these focus on planning tasks like object detection and tracking, which require high-quality annotations, according to L2D’s creators — making them difficult to scale. In contras…