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yolov5
ultralytics/yolov5
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
★57.8kstars
Python
AGPL-3.0
Updated: Today
📋 Project at a Glance
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What's this?A open-source Models project, built with Python, focusing on computer-vision and coreml
Who made it?Maintained by ultralytics team, 57.8K⭐ on GitHub, #16 out of 3201 in Models
Why does it exist?As the Models landscape evolved, the ultralytics team identified the need for better computer-vision solutions. yolov5 was created to simplify coreml workflows.
What can it do?Key use cases: deep-learning, image-classification, inference
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/ultralytics/yolov5 | 官网 https://docs.ultralytics.com/yolov5/
🔗 github.com/ultralytics/yolov5 | 官网 https://docs.ultralytics.com/yolov5/
Topics
computer-visioncoremldeep-learningimage-classificationinferenceinstance-segmentationmodel-exportmodel-trainingobject-detectiononnxpytorchtensorrttfliteultralyticsyoloyolov5