### PaddleDetection 2.0 is ready! Dygraph mode is set by default and static graph code base is [here](static)
### Highly effective PPYOLO v2 and ultra lightweight PPYOLO tiny are released! [link](configs/ppyolo/README.md)
### SOTA Anchor Free model -- PAFNet is released! [link](configs/ttfnet/README.md)
# Introduction
PaddleDetection is an end-to-end object detection development kit based on PaddlePaddle, which aims to help developers in the whole development of constructing, training, optimizing and deploying detection models in a faster and better way.
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### Product news
- 2021.04.14: Release `release/2.0` version. Dygraph mode in PaddleDetection is fully supported. Cover all the algorithm of static graph and update the performance of mainstream detection models. Release `PP-YOLO v2` and `S2ANet` which is aimed at rotation object detection.Please refer to [PaddleDetection](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.0) for details.
- 2021.04.14: Release `release/2.0` version. Dygraph mode in PaddleDetection is fully supported. Cover all the algorithm of static graph and update the performance of mainstream detection models. Release [`PP-YOLO v2` and `PP-YOLO tiny`](configs/ppyolo/README.md), enhanced anchor free model [PAFNet](configs/ttfnet/README.md) and [`S2ANet`](configs/dota/README.md) which is aimed at rotation object detection.Please refer to [PaddleDetection](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.0) for details.
- 2020.02.07: Release `release/2.0-rc` version, Please refer to [PaddleDetection](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.0-rc) for details.
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- Universal object detection
-[Model library and baselines](docs/MODEL_ZOO_cn.md)
