diff --git a/README.md b/README.md
index e58c982274f5b8e31fe7f48bb499815f8e33d26c..71024e89bc162bbf0550f17733656fa9baec2bc1 100644
--- a/README.md
+++ b/README.md
@@ -25,30 +25,26 @@ PaddleOCR aims to create multilingual, awesome, leading, and practical OCR tools
-## Recent updates
+## 📣 Recent updates
- **🔥2022.8.24 Release PaddleOCR [release/2.6](https://github.com/PaddlePaddle/PaddleOCR/tree/release/2.6)**
- Release [PP-Structurev2](./ppstructure/),with functions and performance fully upgraded, adapted to Chinese scenes, and new support for [Layout Recovery](./ppstructure/recovery) and **one line command to convert PDF to Word**;
- [Layout Analysis](./ppstructure/layout) optimization: model storage reduced by 95%, while speed increased by 11 times, and the average CPU time-cost is only 41ms;
- [Table Recognition](./ppstructure/table) optimization: 3 optimization strategies are designed, and the model accuracy is improved by 6% under comparable time consumption;
- [Key Information Extraction](./ppstructure/kie) optimization:a visual-independent model structure is designed, the accuracy of semantic entity recognition is increased by 2.8%, and the accuracy of relation extraction is increased by 9.1%.
-
- **🔥2022.8 Release [OCR scene application collection](./applications/README_en.md)**
- Release **9 vertical models** such as digital tube, LCD screen, license plate, handwriting recognition model, high-precision SVTR model, etc, covering the main OCR vertical applications in general, manufacturing, finance, and transportation industries.
-
- **2022.8 Add implementation of [8 cutting-edge algorithms](doc/doc_en/algorithm_overview_en.md)**
- Text Detection: [FCENet](doc/doc_en/algorithm_det_fcenet_en.md), [DB++](doc/doc_en/algorithm_det_db_en.md)
- Text Recognition: [ViTSTR](doc/doc_en/algorithm_rec_vitstr_en.md), [ABINet](doc/doc_en/algorithm_rec_abinet_en.md), [VisionLAN](doc/doc_en/algorithm_rec_visionlan_en.md), [SPIN](doc/doc_en/algorithm_rec_spin_en.md), [RobustScanner](doc/doc_en/algorithm_rec_robustscanner_en.md)
- Table Recognition: [TableMaster](doc/doc_en/algorithm_table_master_en.md)
-
- **2022.5.9 Release PaddleOCR [release/2.5](https://github.com/PaddlePaddle/PaddleOCR/tree/release/2.5)**
- Release [PP-OCRv3](./doc/doc_en/ppocr_introduction_en.md#pp-ocrv3): With comparable speed, the effect of Chinese scene is further improved by 5% compared with PP-OCRv2, the effect of English scene is improved by 11%, and the average recognition accuracy of 80 language multilingual models is improved by more than 5%.
- Release [PPOCRLabelv2](./PPOCRLabel): Add the annotation function for table recognition task, key information extraction task and irregular text image.
- Release interactive e-book [*"Dive into OCR"*](./doc/doc_en/ocr_book_en.md), covers the cutting-edge theory and code practice of OCR full stack technology.
-
- [more](./doc/doc_en/update_en.md)
-## Features
+## 🌟 Features
PaddleOCR support a variety of cutting-edge algorithms related to OCR, and developed industrial featured models/solution [PP-OCR](./doc/doc_en/ppocr_introduction_en.md) and [PP-Structure](./ppstructure/README.md) on this basis, and get through the whole process of data production, model training, compression, inference and deployment.
@@ -59,7 +55,7 @@ PaddleOCR support a variety of cutting-edge algorithms related to OCR, and devel
> It is recommended to start with the “quick experience” in the document tutorial
-## Quick Experience
+## ⚡ Quick Experience
- Web online experience for the ultra-lightweight OCR: [Online Experience](https://www.paddlepaddle.org.cn/hub/scene/ocr)
- Mobile DEMO experience (based on EasyEdge and Paddle-Lite, supports iOS and Android systems): [Sign in to the website to obtain the QR code for installing the App](https://ai.baidu.com/easyedge/app/openSource?from=paddlelite)
@@ -67,12 +63,12 @@ PaddleOCR support a variety of cutting-edge algorithms related to OCR, and devel
-## E-book: *Dive Into OCR*
-- [Dive Into OCR 📚](./doc/doc_en/ocr_book_en.md)
-
+## 📚 E-book: *Dive Into OCR*
+- [Dive Into OCR ](./doc/doc_en/ocr_book_en.md)
-## Community
+## 👫 Community
+
- For international developers, we regard [PaddleOCR Discussions](https://github.com/PaddlePaddle/PaddleOCR/discussions) as our international community platform. All ideas and questions can be discussed here in English.
- For Chinese develops, Scan the QR code below with your Wechat, you can join the official technical discussion group. For richer community content, please refer to [中文README](README_ch.md), looking forward to your participation.
@@ -83,7 +79,7 @@ PaddleOCR support a variety of cutting-edge algorithms related to OCR, and devel
-## PP-OCR Series Model List(Update on September 8th)
+## 🛠️ PP-OCR Series Model List(Update on September 8th)
| Model introduction | Model name | Recommended scene | Detection model | Direction classifier | Recognition model |
| ------------------------------------------------------------ | ---------------------------- | ----------------- | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |
@@ -98,7 +94,7 @@ PaddleOCR support a variety of cutting-edge algorithms related to OCR, and devel
- For a new language request, please refer to [Guideline for new language_requests](#language_requests).
- For structural document analysis models, please refer to [PP-Structure models](./ppstructure/docs/models_list_en.md).
-## Tutorials
+## 📖 Tutorials
- [Environment Preparation](./doc/doc_en/environment_en.md)
- [PP-OCR 🔥](./doc/doc_en/ppocr_introduction_en.md)
- [Quick Start](./doc/doc_en/quickstart_en.md)
@@ -159,7 +155,7 @@ PaddleOCR support a variety of cutting-edge algorithms related to OCR, and devel
-## Visualization [more](./doc/doc_en/visualization_en.md)
+## 👀 Visualization [more](./doc/doc_en/visualization_en.md)
PP-OCRv3 Chinese model
@@ -198,7 +194,7 @@ PaddleOCR support a variety of cutting-edge algorithms related to OCR, and devel
-## 近期更新
+## 📣 近期更新
+
+- 💼 **2022.9.5 飞桨智慧金融行业系列直播课**
+
+ - PaddleOCR发布四大范例:印章弯曲文本检测与识别、扫描版合同关键信息抽取、通用卡证结构化信息提取、中文表格识别与属性分析
+
+ - 9月6日起每周二、周四19点直播,扫码免费加入微信群获取直播链接,与行业专家深度交流
+
+