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fix model doc
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littletomatodonkey committed Feb 3, 2021
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6 changes: 5 additions & 1 deletion doc/doc_ch/models_list.md
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## OCR模型列表(V2.0,2021年1月20日更新)
**说明** :2.0版模型和[1.1版模型](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_ch/models_list.md)的主要区别在于动态图训练vs.静态图训练,模型性能上无明显差距。

> **说明**
> 1. 2.0版模型和[1.1版模型](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_ch/models_list.md)的主要区别在于动态图训练vs.静态图训练,模型性能上无明显差距。
> 2. 本文档提供的是PPOCR自研模型列表,更多基于公开数据集的算法介绍与预训练模型可以参考:[算法概览文档](./algorithm_overview.md)

- [一、文本检测模型](#文本检测模型)
- [二、文本识别模型](#文本识别模型)
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4 changes: 3 additions & 1 deletion doc/doc_en/models_list_en.md
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## OCR model list(V2.0, updated on 2021.1.20)
**Note** : Compared with [models 1.1](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_en/models_list_en.md), which are trained with static graph programming paradigm, models 2.0 are the dynamic graph trained version and achieve close performance.
> **Note**
> 1. Compared with [models 1.1](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_en/models_list_en.md), which are trained with static graph programming paradigm, models 2.0 are the dynamic graph trained version and achieve close performance.
> 2. All models in this tutorial are all ppocr-series models, for more introduction of algorithms and models based on public dataset, you can refer to [algorithm overview tutorial](./algorithm_overview_en.md).
- [1. Text Detection Model](#Detection)
- [2. Text Recognition Model](#Recognition)
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