Ultralytics
Ultralytics YOLO 🚀 for SOTA object detection, instance segmentation, semantic segmentation, depth estimation, classification, pose estimation, oriented object detection, and multi-object tracking.
About
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.
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- Stars
- 61,543
- Forks
- 11,756
- License
- AGPL-3.0
- Last commit
- 27 days ago
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Ultralytics
Publisher of Ultralytics YOLOv5
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Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
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