ultralytics v8.4.142
Deep learning framework for object detection, segmentation, classification, pose estimation, and tracking using pre-trained YOLO models and Python/CLI APIs.
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, instance segmentation, semantic segmentation, depth estimation, image classification, pose estimation, and oriented object detection tasks, and can track detected objects across video frames.
Find detailed documentation in the Ultralytics Docs. Get support via GitHub Issues. Join discussions on Discord, Reddit, and the Ultralytics Community Forums!
Request an Enterprise License for commercial use at Ultralytics Licensing.
📄 Documentation
See below for quickstart installation and usage examples. For comprehensive guidance on training, validation, prediction, and deployment, refer to our full Ultralytics Docs.
Install
Install the ultralytics package, including all requirements, in a Python>=3.8 environment with PyTorch>=1.8.
pip install ultralytics