open-mmlab/mmyolo
PyTorch toolbox implementing YOLO family object detection models including RTMDet, YOLOv5-v8, and other architectures.
Not currently ranked — collecting fresh signals.
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This repository provides a comprehensive object detection toolbox built on PyTorch and the OpenMMLab ecosystem. It implements various YOLO architectures such as RTMDet, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOX, and PPYOLOE for training, evaluation, and deployment. The project offers model weights, training pipelines, and benchmarking capabilities for rotated and standard object detection tasks.
Frequently asked
- What is open-mmlab/mmyolo?
- PyTorch toolbox implementing YOLO family object detection models including RTMDet, YOLOv5-v8, and other architectures.
- Is mmyolo open source?
- Yes — open-mmlab/mmyolo is open source, released under the GPL-3.0 license.
- What language is mmyolo written in?
- open-mmlab/mmyolo is primarily written in Python.
- How popular is mmyolo?
- open-mmlab/mmyolo has 3.5k stars on GitHub.
- Where can I find mmyolo?
- open-mmlab/mmyolo is on GitHub at https://github.com/open-mmlab/mmyolo.