supervision

Supervision is a toolkit designed to simplify the development of computer vision applications. It acts as a model-agnostic layer, allowing users to integrate various classification, detection, and segmentation models from libraries such as Ultralytics, Transformers, MMDetection, and Roboflow Inference. Key capabilities include: - **Annotators**: A wide range of customizable tools for visualizing model outputs on images and video frames. - **Dataset Utilities**: Tools to load, split, merge, and save datasets across multiple popular formats, including COCO, YOLO, and Pascal VOC. - **Model Connectors**: Pre-built integrations to easily convert model predictions into a standardized format (sv.Detections). - **Application Building Blocks**: Support for higher-level tasks such as real-time zone counting, object tracking, and speed estimation.