YOLOv5 is a fast, accurate computer vision framework in PyTorch for object detection, instance segmentation, and image classification. It supports training on custom datasets, inference from various sources, and exporting models to formats like ONNX, TensorRT, and CoreML.
AI & MLModel runtime
Ultralytics OpenAPI generates interactive API docs and typed Python SDKs from OpenAPI 3.0-3.2 specs, with configurable branding, auth, and CLI support.
Developer toolsAI & MLBackend & APIs
Ultralytics provides a suite of state-of-the-art YOLO models for computer vision tasks including object detection, segmentation, and classification.
AI & MLTraining & evaluation