#vision + #code

Ultralytics creates cutting-edge, state-of-the-art (SOTA) YOLO models built on years of foundational research in computer vision and AI. Constantly updated for performance and flexibility, our models are fast, accurate, and easy to use. They excel at object detection, tracking, instance segmentation, semantic segmentation, image classification, and pose estimation tasks.

CVAT Community is the free, self-hosted open-source edition of CVAT — one of the most widely used data annotation platforms for building high-quality visual datasets for computer vision and visual AI. Since 2018, CVAT has become one of the best-known data annotation tools in computer vision, with a large open-source community, millions of Docker pulls, and broad adoption across research and production AI teams.

Turn raw visual data into model-ready datasets with CVAT annotation platform. Run it on your own infrastructure, CVAT cloud, or let our labeling team do the work.

Docs for the OAK-D Lite.

Luxonis OAK-D Lite datasheet.