Supervision offers reusable computer vision tools for tasks like loading datasets, drawing detections, and counting objects in a zone. Installation is easy with Pip, and the package is designed to be model agnostic, supporting popular libraries like Ultralytics and Transformers. Annotators and dataset utilities are highly customizable, allowing for a wide range of visualizations and dataset management. Tutorials cover topics like speed estimation, vehicle tracking, and traffic analysis using YOLO and ByteTrack models. Users are encouraged to share their projects built with Supervision, and contributions to the documentation are welcome.
https://github.com/roboflow/supervision