中文 한국어 日本語 Русский Deutsch Français Español Português Türkçe Tiếng Việt العربية 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, tracking, instance segmentation, image classification, and pose estimation tasks. 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 . For alternative installation methods, including Conda, Docker, and building from source via Git, please consult the Quickstart Guide. Usage CLI You can use Ultralytics YOLO directly from the Command Line Interface (CLI) wit…
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