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### 1.文本检测算法
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PaddleOCR开源的文本检测算法列表:
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- [x] DB([paper](https://arxiv.org/abs/1911.08947))(ppocr推荐)
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- [x] DB([paper]( https://arxiv.org/abs/1911.08947) )(ppocr推荐)
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- [x] EAST([paper](https://arxiv.org/abs/1704.03155))
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- [x] SAST([paper](https://arxiv.org/abs/1908.05498))
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@ -38,7 +38,7 @@ PaddleOCR文本检测算法的训练和使用请参考文档教程中[模型训
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### 2.文本识别算法
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PaddleOCR基于动态图开源的文本识别算法列表:
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- [x] CRNN([paper](https://arxiv.org/abs/1507.05717))(ppocr推荐)
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- [x] CRNN([paper](https://arxiv.org/abs/1507.05717) )(ppocr推荐)
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- [x] Rosetta([paper](https://arxiv.org/abs/1910.05085))
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- [x] STAR-Net([paper](http://www.bmva.org/bmvc/2016/papers/paper043/index.html))
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- [ ] RARE([paper](https://arxiv.org/abs/1603.03915v1)) coming soon
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@ -13,7 +13,7 @@ This tutorial lists the text detection algorithms and text recognition algorithm
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PaddleOCR open source text detection algorithms list:
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- [x] EAST([paper](https://arxiv.org/abs/1704.03155))
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- [x] DB([paper](https://arxiv.org/abs/1911.08947))
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- [x] SAST([paper](https://arxiv.org/abs/1908.05498))(Baidu Self-Research)
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- [x] SAST([paper](https://arxiv.org/abs/1908.05498) )(Baidu Self-Research)
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On the ICDAR2015 dataset, the text detection result is as follows:
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@ -43,7 +43,7 @@ PaddleOCR open-source text recognition algorithms list:
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- [x] Rosetta([paper](https://arxiv.org/abs/1910.05085))
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- [x] STAR-Net([paper](http://www.bmva.org/bmvc/2016/papers/paper043/index.html))
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- [ ] RARE([paper](https://arxiv.org/abs/1603.03915v1)) coming soon
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- [ ] SRN([paper](https://arxiv.org/abs/2003.12294))(Baidu Self-Research) coming soon
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- [ ] SRN([paper](https://arxiv.org/abs/2003.12294) )(Baidu Self-Research) coming soon
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Refer to [DTRB](https://arxiv.org/abs/1904.01906), the training and evaluation result of these above text recognition (using MJSynth and SynthText for training, evaluate on IIIT, SVT, IC03, IC13, IC15, SVTP, CUTE) is as follow:
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