---
title: TableExtractor
canonical_url: "https://www.modelscope.cn/models/jockerK/TableExtractor"
md_url: "https://www.modelscope.cn/models/jockerK/TableExtractor.md"
repository: jockerK/TableExtractor
chinese_name: "RapidTableDet表格检测模型"
last_updated: 2024-11-13
pipeline_tag: semantic-segmentation
tasks:
  - semantic-segmentation
library_name:
  - onnx
  - pytorch
frameworks:
  - Pytorch
downloads: 335
stars: 14
---

# TableExtractor

> TableExtractor - jockerK 在 ModelScope 开源的模型。RapidTableDet表格检测模型

- **Repository**: jockerK/TableExtractor
- **Tasks**: semantic-segmentation
- **Downloads**: 335
- **Stars**: 14
- **Last updated**: 2024-11-13

Source: https://www.modelscope.cn/models/jockerK/TableExtractor

---

<div align="center">
  <div align="center">
    <h1><b>📊RapidTableDetection</b></h1>
  </div>
  <a href=""><img src="https://img.shields.io/badge/Python->=3.8,<3.12-aff.svg"></a>
  <a href=""><img src="https://img.shields.io/badge/OS-Linux%2C%20Mac%2C%20Win-pink.svg"></a>
<a href="https://semver.org/"><img alt="SemVer2.0" src="https://img.shields.io/badge/SemVer-2.0-brightgreen"></a>
  <a href="https://github.com/psf/black"><img src="https://img.shields.io/badge/code%20style-black-000000.svg"></a>
  <a href="https://github.com/RapidAI/TableStructureRec/blob/c41bbd23898cb27a957ed962b0ffee3c74dfeff1/LICENSE"><img alt="GitHub" src="https://img.shields.io/badge/license-Apache 2.0-blue"></a>
</div>

### 使用方式见[RapidTableDet](https://github.com/Joker1212/RapidTableDet)

### 简介
复杂场景下的表格提取方案，同时支持高精度的paddle推理和量化小模型的onnx推理,并补充训练了yolo11相关模型，自由搭配选择，为下游 ocr/表格识别/数据采集 提供强力支撑
采用项目 [百度表格检测大赛](https://aistudio.baidu.com/projectdetail/5398861?searchKeyword=%E8%A1%A8%E6%A0%BC%E6%A3%80%E6%B5%8B%E5%A4%A7%E8%B5%9B&searchTab=ALL) 的实现方案，补充大量真实场景数据再训练
![img.png](structure.png)

📚参考项目 [百度表格检测大赛第2名方案](https://aistudio.baidu.com/projectdetail/5398861?searchKeyword=%E8%A1%A8%E6%A0%BC%E6%A3%80%E6%B5%8B%E5%A4%A7%E8%B5%9B&searchTab=ALL) 的实现方案，补充大量真实场景数据再训练
![img.png](readme_resource/structure.png)
👇🏻训练数据集在致谢, 作者天天上班摸鱼搞开源，希望大家点个⭐️支持一下


### 效果展示
![res_show.jpg](res_show.jpg)![res_show2.jpg](res_show2.jpg)