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### 1.文本检测算法
PaddleOCR开源的文本检测算法列表
- [x] DB([paper]( https://arxiv.org/abs/1911.08947) )ppocr推荐
- [x] EAST([paper](https://arxiv.org/abs/1704.03155))
- [x] SAST([paper](https://arxiv.org/abs/1908.05498))
- [x] DB[2]([paper]( https://arxiv.org/abs/1911.08947) )ppocr推荐
- [x] EAST[1]([paper](https://arxiv.org/abs/1704.03155))
- [x] SAST[4]([paper](https://arxiv.org/abs/1908.05498))
在ICDAR2015文本检测公开数据集上算法效果如下
@ -38,13 +38,13 @@ PaddleOCR文本检测算法的训练和使用请参考文档教程中[模型训
### 2.文本识别算法
PaddleOCR基于动态图开源的文本识别算法列表
- [x] CRNN([paper](https://arxiv.org/abs/1507.05717) )ppocr推荐
- [x] Rosetta([paper](https://arxiv.org/abs/1910.05085))
- [ ] STAR-Net([paper](http://www.bmva.org/bmvc/2016/papers/paper043/index.html)) coming soon
- [ ] RARE([paper](https://arxiv.org/abs/1603.03915v1)) coming soon
- [ ] SRN([paper](https://arxiv.org/abs/2003.12294)) coming soon
- [x] CRNN[7]([paper](https://arxiv.org/abs/1507.05717) )ppocr推荐
- [x] Rosetta[10]([paper](https://arxiv.org/abs/1910.05085))
- [ ] STAR-Net[11]([paper](http://www.bmva.org/bmvc/2016/papers/paper043/index.html)) coming soon
- [ ] RARE[12]([paper](https://arxiv.org/abs/1603.03915v1)) coming soon
- [ ] SRN[5]([paper](https://arxiv.org/abs/2003.12294)) coming soon
参考[DTRB](https://arxiv.org/abs/1904.01906)文字识别训练和评估流程使用MJSynth和SynthText两个文字识别数据集训练在IIIT, SVT, IC03, IC13, IC15, SVTP, CUTE数据集上进行评估算法效果如下
参考[DTRB][3](https://arxiv.org/abs/1904.01906)文字识别训练和评估流程使用MJSynth和SynthText两个文字识别数据集训练在IIIT, SVT, IC03, IC13, IC15, SVTP, CUTE数据集上进行评估算法效果如下
|模型|骨干网络|Avg Accuracy|模型存储命名|下载链接|
|-|-|-|-|-|