YOLOv5
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
About
Ultralytics YOLOv5 🚀 is a fast, accurate, and easy-to-use computer vision model developed by Ultralytics. Based on the PyTorch framework, YOLOv5 is renowned for its speed, accuracy, and simplicity. It incorporates insights and best practices from extensive research and development, making it a popular and reliable choice for a wide range of vision AI tasks, including object detection, image segmentation, and image classification.
Open Source Health
- Stars
- 58,004
- Forks
- 17,467
- License
- AGPL-3.0
- Last commit
- 1 months ago
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Ultralytics
Publisher of Ultralytics YOLOv5
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Ultralytics
Ultralytics YOLO 🚀 for SOTA object detection, instance segmentation, semantic segmentation, depth estimation, classification, pose estimation, oriented object detection, and multi-object tracking.
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