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@inc4dge inc4dge commented Nov 17, 2025

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Comment out action edit and view in mkdocs.yml
将修改和查看源代码注释掉了
Updated the documentation for the PP-LCNet_x1_0_doc_ori model, including performance metrics, testing environment details, and inference mode descriptions.
Added detailed descriptions and download links for PP-DocBee models.
修改了文档图像方向分类模块的模型表格
Updated the formula recognition documentation with detailed model descriptions, performance metrics, and download links for various models, including UniMERNet, PP-FormulaNet, and LaTeX-OCR.
Updated the documentation for the PP-Chart2Table model, including model specifications, performance metrics, and usage instructions.
Updated layout detection model documentation with detailed descriptions, performance metrics, and download links for various models, including PP-DocLayout and PicoDet series.
Updated model descriptions and performance metrics for layout detection module, including changes to model names and links.
Updated the documentation for RT-DETR-L model, including performance metrics, download links, and testing environment details for wired and wireless table cell detection.
Added detailed model information and testing environment specifications for PP-LCNet_x1_0_table_cls.
Updated the text detection documentation with detailed model information, performance metrics, and download links for PP-OCRv5 and PP-OCRv4 models.
Updated the UVDoc model section with detailed performance metrics and testing environment information.
Updated the textline orientation classification documentation to include new model details and performance metrics.
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paddle-bot bot commented Nov 17, 2025

Thanks for your contribution!

| **常规模式** | 99.06 | 2.62 | 3.24 |
| **高性能模式** | - | 0.59 | 1.19 |

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这部分建议改成表格结构,其他的也都修改成如下格式:

训练模型 推理模型
BOS源 BOS源,AI Studio,Hugging Face ,ModelScope

| :--- | :--- |
| **内部评估** | 765 |

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同上

**模型介绍:**
PP-DocBee 是飞桨团队自研的一款专注于文档理解的多模态大模型,在中文文档理解任务上具有卓越表现。该模型通过近 500 万条文档理解类多模态数据集进行微调优化,各种数据集包括了通用VQA类、OCR类、图表类、text-rich文档类、数学和复杂推理类、合成数据类、纯文本数据等,并设置了不同训练数据配比。在学术界权威的几个英文文档理解评测榜单上,PP-DocBee基本都达到了同参数量级别模型的SOTA。

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同上

<td>PP-Chart2Table是飞桨团队自研的一款专注于图表解析的多模态模型,在中英文图表解析任务中展现出卓越性能。团队专为图表解析设计了Shuffled Chart Data Retrieval训练任务,并结合精心设计的令牌掩码策略,显著提升其在图表转数据表任务上的性能。此外,团队通过精心设计的数据合成流程增强了PP-Chart2Table的能力,该流程利用高质量的种子数据,并结合RAG和大语言模型人格设计,以生成更丰富多样化的数据。为了处理大量未标记的分布外 (OOD) 数据,团队采用了两阶段大模型蒸馏训练过程,确保模型在广泛的真实世界数据集中具有出色的适应性和泛化能力。在内部业务的中英文场景测试中,PP-Chart2Table不仅达到同参数量级模型中的SOTA水平,更在关键场景中实现了与7B参数量级VLM模型相当的精度。</td>
</tr>
</table>
### 📊📊 PP-Chart2Table
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模型名称前的小图标建议去掉,对于一部分模型图标能代表模型,但是很多模型无法使用合适的图标,所以统一去除


---

### 📝📝 评估说明
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这种能统一的可以酌情保留

- content.footnote.tooltips
- content.action.edit
- content.action.view
- content.action.edit #修改源代码
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去掉注释

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