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yolov3
ultralytics/yolov3
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
★10.6kstars
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, 10.6K⭐ on GitHub, #141 out of 3201 in Models
Why does it exist?In the Models space, computer-vision workflows faced efficiency bottlenecks. yolov3 was built by ultralytics to address these coreml challenges.
What can it do?Key use cases: deep-learning, edge-ai, 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/yolov3 | 官网 https://docs.ultralytics.com/models/yolov3/
🔗 github.com/ultralytics/yolov3 | 官网 https://docs.ultralytics.com/models/yolov3/
Topics
computer-visioncoremldeep-learningedge-aiinferencemodel-exportmodel-trainingobject-detectiononnxpytorchtensorrtultralyticsyoloyolov3