Ultralytics YOLO for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.
copied from cf-staging / ultralytics
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Ultralytics YOLO is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility. YOLO is designed to be fast, accurate, and easy to use, making it an excellent choice for a wide range of object detection and tracking, instance segmentation, image classification and pose estimation tasks.
We hope that the resources here will help you get the most out of YOLO. Please browse the Ultralytics Docs for details, raise an issue on GitHub for support, questions, or discussions, become a member of the Ultralytics Discord, Reddit and Forums!
To request an Enterprise License please complete the form at Ultralytics Licensing.
YOLO Detect, Segment and Pose models pretrained on the COCO dataset are available, as well as YOLO Classify models pretrained on the ImageNet dataset. Track mode is available for all Detect, Segment and Pose models. All Models download automatically from the latest Ultralytics release on first use.
