*[1.1 Text Detection Algorithm](#11-text-detection-algorithm)
*[1.2 Text Recognition Algorithm](#12-text-recognition-algorithm)
-[2. Training](#2-training)
-[3. Inference](#3-inference)
<aname="Algorithm_introduction"></a>
## Algorithm introduction
## 1. Algorithm Introduction
This tutorial lists the text detection algorithms and text recognition algorithms supported by PaddleOCR, as well as the models and metrics of each algorithm on **English public datasets**. It is mainly used for algorithm introduction and algorithm performance comparison. For more models on other datasets including Chinese, please refer to [PP-OCR v2.0 models list](./models_list_en.md).
...
...
@@ -8,7 +17,8 @@ This tutorial lists the text detection algorithms and text recognition algorithm
-[2. Text Recognition Algorithm](#TEXTRECOGNITIONALGORITHM)
<aname="TEXTDETECTIONALGORITHM"></a>
### 1. Text Detection Algorithm
### 1.1 Text Detection Algorithm
PaddleOCR open source text detection algorithms list:
@@ -38,7 +48,7 @@ On Total-Text dataset, the text detection result is as follows:
For the training guide and use of PaddleOCR text detection algorithms, please refer to the document [Text detection model training/evaluation/prediction](./detection_en.md)
<aname="TEXTRECOGNITIONALGORITHM"></a>
### 2. Text Recognition Algorithm
### 1.2 Text Recognition Algorithm
PaddleOCR open-source text recognition algorithms list:
Please refer to the document for training guide and use of PaddleOCR text recognition algorithms [Text recognition model training/evaluation/prediction](./recognition_en.md)
Please refer to the document for training guide and use of PaddleOCR
## 2. Training
For the training guide and use of PaddleOCR text detection algorithms, please refer to the document [Text detection model training/evaluation/prediction](./detection_en.md). For text recognition algorithms, please refer to [Text recognition model training/evaluation/prediction](./recognition_en.md)
## 3. Inference
Except for the PP-OCR series models of the above models, the other models only support inference based on the Python engine. For details, please refer to [Inference based on Python prediction engine](./inference_en.md)
