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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -29,7 +29,7 @@ PaddleOCR 由 [PMC](https://github.com/PaddlePaddle/PaddleOCR/issues/12122) 监

## 📣 近期更新([more](https://paddlepaddle.github.io/PaddleOCR/latest/update.html))

- **🔥🔥2024.3.6 新增OCR领域自研重磅模型方案**
- **🔥🔥2025.3.6 新增OCR领域自研重磅模型方案**

- **重磅新增 OCR 领域 12 个自研单模型:**
- **[版面区域检测](https://paddlepaddle.github.io/PaddleX/latest/module_usage/tutorials/ocr_modules/layout_detection.html)** 系列 3 个模型:PP-DocLayout-L、PP-DocLayout-M、PP-DocLayout-S,支持预测 23 个常见版面类别,中英论文、研报、试卷、书籍、杂志、合同、报纸等丰富类型的文档实现高质量版面检测,**mAP@0.5 最高达 90.4%,轻量模型端到端每秒处理超百页文档图像。**
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2 changes: 1 addition & 1 deletion README_en.md
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Expand Up @@ -30,7 +30,7 @@ PaddleOCR is being oversight by a [PMC](https://github.com/PaddlePaddle/PaddleOC
## 📣 Recent updates ([more](https://paddlepaddle.github.io/PaddleOCR/latest/en/update.html))


- **🔥🔥2024.3.6: Release of a New Self-Developed Major Model Solution in the OCR Field**
- **🔥🔥2025.3.6: Release of a New Self-Developed Major Model Solution in the OCR Field**

- **12 new self-developed single models:**
- **[Layout Detection](https://paddlepaddle.github.io/PaddleX/latest/en/module_usage/tutorials/ocr_modules/layout_detection.html)** series with 3 models: PP-DocLayout-L, PP-DocLayout-M, PP-DocLayout-S, supporting prediction of 23 common layout categories. High-quality layout detection for various document types such as papers, reports, exams, books, magazines, contracts, newspapers in both English and Chinese. **mAP@0.5 reaches up to 90.4%, lightweight models can process over 100 pages of document images per second end-to-end.**
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2 changes: 1 addition & 1 deletion docs/update.en.md
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Expand Up @@ -7,7 +7,7 @@ hide:

### Recently Update

#### **🔥🔥2024.3.6: Release of a New Self-Developed Major Model Solution in the OCR Field**
#### **🔥🔥2025.3.6: Release of a New Self-Developed Major Model Solution in the OCR Field**

- **12 new self-developed single models:**
- **[Layout Detection](https://paddlepaddle.github.io/PaddleX/latest/en/module_usage/tutorials/ocr_modules/layout_detection.html)** series with 3 models: PP-DocLayout-L, PP-DocLayout-M, PP-DocLayout-S, supporting prediction of 23 common layout categories. High-quality layout detection for various document types such as papers, reports, exams, books, magazines, contracts, newspapers in both English and Chinese. **mAP@0.5 reaches up to 90.4%, lightweight models can process over 100 pages of document images per second end-to-end.**
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2 changes: 1 addition & 1 deletion docs/update.md
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Expand Up @@ -7,7 +7,7 @@ hide:

### 更新

#### **🔥🔥2024.3.6 新增OCR领域自研重磅模型方案**
#### **🔥🔥2025.3.6 新增OCR领域自研重磅模型方案**

- **重磅新增 OCR 领域 12 个自研单模型:**
- **[版面区域检测](https://paddlepaddle.github.io/PaddleX/latest/module_usage/tutorials/ocr_modules/layout_detection.html)** 系列 3 个模型:PP-DocLayout-L、PP-DocLayout-M、PP-DocLayout-S,支持预测 23 个常见版面类别,中英论文、研报、试卷、书籍、杂志、合同、报纸等丰富类型的文档实现高质量版面检测,**mAP@0.5 最高达 90.4%,轻量模型端到端每秒处理超百页文档图像。**
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