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mmyolo
Python

mmyolo

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

by open-mmlab · GitHub
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deep-learningobject-detectionppyoloeGPL-3.0Python
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In plain words

Use a toolbox for object detection that includes various YOLO models and provides benchmarks and tutorials.

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3 4623 458
2026-07-072026-08-31
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📄 About

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

mmyolo has 3.5k stars on GitHub. It has been forked 626 times. mmyolo is written mainly in Python. It has been in active development since 2022. mmyolo is available under the GPL-3.0 license. Its main topics are deep-learning, object-detection, ppyoloe, pytorch.

Frequently asked questions

What is mmyolo?

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

Is mmyolo open source?

mmyolo is an open-source project. It is released under the GPL-3.0 license.

Is mmyolo free?

Yes. mmyolo is free and open source — you can use, modify and self-host it. Its GPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.

What license does mmyolo use?

mmyolo is available under the GPL-3.0 license.

What language is mmyolo written in?

mmyolo is written mainly in Python.

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