**News**: We released the technical report on [ArXiv](https://arxiv.org/abs/1906.07155).
## Introduction
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-**Support of multiple frameworks out of box**
The toolbox directly supports popular detection frameworks, *e.g.* Faster RCNN, Mask RCNN, RetinaNet, etc.
The toolbox directly supports popular and contemporary detection frameworks, *e.g.* Faster RCNN, Mask RCNN, RetinaNet, etc.
-**Efficient**
-**High efficiency**
All basic bbox and mask operations run on GPUs now.
The training speed is nearly 2x faster than Detectron and comparable to maskrcnn-benchmark.
-**State of the art**
This was the codebase of the *MMDet* team, who won the [COCO Detection 2018 challenge](http://cocodataset.org/#detection-leaderboard).
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.
Apart from mmdetection, we also released a library [mmcv](https://github.com/open-mmlab/mmcv) for computer vision research,
Apart from MMDetection, we also released a library [mmcv](https://github.com/open-mmlab/mmcv) for computer vision research,
which is heavily depended on by this toolbox.
## License
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@@ -111,25 +113,25 @@ Please refer to [INSTALL.md](INSTALL.md) for installation and dataset preparatio
## Get Started
Please see [GETTING_STARTED.md](GETTING_STARTED.md) for the basic usage of mmdetection.
Please see [GETTING_STARTED.md](GETTING_STARTED.md) for the basic usage of MMDetection.
## Contributing
We appreciate all contributions to improve mmdetection. Please refer to [CONTRIBUTING.md](CONTRIBUTING.md) for the contributing guideline.
We appreciate all contributions to improve MMDetection. Please refer to [CONTRIBUTING.md](CONTRIBUTING.md) for the contributing guideline.
## Citation
If you use our codebase or models in your research, please cite this project.
We will release a paper or technical report later.
If you use this toolbox or benchmark in your research, please cite this project.
```
@misc{mmdetection2018,
author = {Kai Chen and Jiangmiao Pang and Jiaqi Wang and Yu Xiong and Xiaoxiao Li
and Shuyang Sun and Wansen Feng and Ziwei Liu and Jianping Shi and