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@ -79,9 +79,9 @@ PaddleOCR开源的文本识别算法列表：
- [x] [RARE](https://arxiv.org/abs/1603.03915v1)
- [ ] [SRN](https://arxiv.org/abs/2003.12294)(百度自研, comming 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两个文字识别合成数据集训练，在IIIT, SVT, IC03, IC13, IC15, SVTP, CUTE数据集上进行效果评估，算法效果如下：
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：
|模型|骨干网络|ACC|
|模型|骨干网络|Avg Accuracy|
|-|-|-|
|[Rosetta](https://paddleocr.bj.bcebos.com/rec_r34_vd_none_none_ctc.tar)|Resnet34_vd|80.24%|
|[Rosetta](https://paddleocr.bj.bcebos.com/rec_mv3_none_none_ctc.tar)|MobileNetV3|78.16%|