ultralytics

Why we included this project

Ultralytics is the YOLO library most computer vision work starts from. It ships a family of models, from YOLOv8 through YOLO11 to YOLO26, that cover object detection, instance and semantic segmentation, classification, pose estimation, and tracking through a single Python and CLI interface, so moving between tasks doesn't mean learning a new API. Pretrained weights download on first use, and the same workflow handles training on your own data, validation, prediction, and export to formats like ONNX. The docs are solid and the community is large enough that you'll rarely be stuck, which makes it a sensible default whether you're testing an idea quickly or building a production vision pipeline. The range of model sizes also helps when you need real-time inference on modest hardware and have to trade speed against accuracy.