M
mmyolo
open-mmlab/mmyolo
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
★3.5kstars
Python
GPL-3.0
Updated: Today
📋 Project at a Glance
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What's this?A deep-learning/object-detection tool in the Models category, built with Python, open-source
Who made it?Maintained by open-mmlab team, 3.5K⭐ on GitHub, #436 out of 3201 in Models
Why does it exist?As the Models landscape evolved, the open-mmlab team identified the need for better deep-learning solutions. mmyolo was created to simplify object-detection workflows.
What can it do?Key use cases: ppyoloe, pytorch, rotated-object-detection
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/open-mmlab/mmyolo | 官网 https://mmyolo.readthedocs.io/zh_CN/dev/
🔗 github.com/open-mmlab/mmyolo | 官网 https://mmyolo.readthedocs.io/zh_CN/dev/
Topics
deep-learningobject-detectionppyoloepytorchrotated-object-detectionrtmdetyoloyolov5yolov6yolov7yolov8yolox