yolov5

by ultralytics · Machine Learning

Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.

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About this project

中文 한국어 日本語 Русский Deutsch Français Español Português Türkçe Tiếng Việt العربية 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. We hope the resources here help you get the most out of YOLOv5. Please browse the YOLOv5 Docs for detailed information, raise an issue on GitHub for support, and…

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ShellPythondeep-learningDockerfilecomputer-visioncoreml

Project health

Actively maintained
Last updatelast week
Contributors337
Latest releasev7.0
Open issues & PRs31
LicenseAGPL-3.0
On GitHubsince 2020

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