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# mmdetection
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# MMDetection
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**News**: We released the technical report on [ArXiv](https://arxiv.org/abs/1906.07155).
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## Introduction
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-**Support of multiple frameworks out of box**
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The toolbox directly supports popular detection frameworks, *e.g.* Faster RCNN, Mask RCNN, RetinaNet, etc.
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The toolbox directly supports popular and contemporary detection frameworks, *e.g.* Faster RCNN, Mask RCNN, RetinaNet, etc.
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-**Efficient**
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-**High efficiency**
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All basic bbox and mask operations run on GPUs now.
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The training speed is nearly 2x faster than Detectron and comparable to maskrcnn-benchmark.
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-**State of the art**
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This was the codebase of the *MMDet* team, who won the [COCO Detection 2018 challenge](http://cocodataset.org/#detection-leaderboard).
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This was the codebase of the *MMDet* team, who won the [COCO Detection 2018 challenge](http://cocodataset.org/#detection-leaderboard), and we keep pushing it forward.
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Apart from mmdetection, we also released a library [mmcv](https://github.com/open-mmlab/mmcv) for computer vision research,
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Apart from MMDetection, we also released a library [mmcv](https://github.com/open-mmlab/mmcv) for computer vision research,
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which is heavily depended on by this toolbox.
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## License
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## Get Started
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Please see [GETTING_STARTED.md](GETTING_STARTED.md) for the basic usage of mmdetection.
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Please see [GETTING_STARTED.md](GETTING_STARTED.md) for the basic usage of MMDetection.
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## Contributing
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We appreciate all contributions to improve mmdetection. Please refer to [CONTRIBUTING.md](CONTRIBUTING.md) for the contributing guideline.
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We appreciate all contributions to improve MMDetection. Please refer to [CONTRIBUTING.md](CONTRIBUTING.md) for the contributing guideline.
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## Citation
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If you use our codebase or models in your research, please cite this project.
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We will release a paper or technical report later.
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If you use this toolbox or benchmark in your research, please cite this project.
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```
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@misc{mmdetection2018,
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author = {Kai Chen and Jiangmiao Pang and Jiaqi Wang and Yu Xiong and Xiaoxiao Li
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and Shuyang Sun and Wansen Feng and Ziwei Liu and Jianping Shi and
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