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Last year, the face, AI Dev platform, Lerobot, open AI models, data sets and tools launched a collection of tools to build real-world robotics systems. Tuesday, AI startup, along with AI Startup, like city streets, combined with AI startup to expand the lerobot with a training set for robots and cars that can walk around the environs like city streets.
New set, Learning for driving (L2D)It contains information from sensors installed in cars in a petabyte, size and German driving schools. L2D camera, GPS and “vehicle dynamics” data from driving trainers and students building zones, nodes, highways, etc. Walking the streets.
The companies, including Alphabetin Waymo and comma AI, have a number of open self-driving kits out there. However, this is a very focus on planning tasks such as object detection and tracking requiring high quality annotations according to the creators of L2D.
On the contrary, the L2D is designed to support the development of learning, the creators, which claims that the measures (such as infantry, such as infantry) (eg camera footage)
“The AI community can now establish its driving models until the end,” Jaak co-founder Harsimrat Sandhawalia and Remi Cadene, a member of the EU, wrote in a blog post. “L2D aims to be the highest level of open-speed data sets in the AI community.
Face and Yaak’s plan to embrace the real world of models placed in a vehicle, which is a security driver, which is a security driver using L2D and Lerobot. Companies are called the AI community to present models and tasks to be assessed as navigation and parking lots.
