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--- |
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license: afl-3.0 |
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task_categories: |
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- feature-extraction |
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language: |
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- en |
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- zh |
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size_categories: |
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- 100M<n<1B |
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--- |
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# pdf-layout-chinese: A Chinese document layout PDF dataset |
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### 介绍 |
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pdf-layout-chinese是一个中文文档版面分析数据集，面向中文文献类（论文）场景。包含以下10个label： |
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| 正文 | 标题 | 图片 | 图片标题 | 表格 | 表格标题 | 页眉 | 页脚 | 注释 | 公式 | |
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| :----: | :-----: | :------: | :--------------: | :-----: | :-------------: | :------: | :------: | :---------: | :--------: | |
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| Text | Title | Figure | Figure caption | Table | Table caption | Header | Footer | Reference | Equation | |
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共包含5000张训练集和1000张验证集，分别在train和val目录下。每张图片对应一个同名的标注文件(.json)。 |
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样例展示： |
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 |
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 |
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### 标注格式 |
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使用的标注工具是labelme，所以标注格式和labelme格式一致。这里说明一下比较重要的字段。 |
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"shapes": shapes字段是一个list，里面有多个dict，每个dict代表一个标注实例。 |
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"labels": 类别。 |
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"points": 实例标注。因为我们的标注是Polygon形式，所以points里的坐标数量可能大于4。 |
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"shape_type": "polygon" |
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"imagePath": 图片路径/名 |
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"imageHeight": 高 |
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"imageWidth": 宽 |
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展示一个完整的标注样例: |
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``` |
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{ |
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"version":"4.5.6", |
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"flags":{}, |
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"shapes":[ |
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{ |
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"label":"Title", |
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"points":[ |
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[ |
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553.1111111111111, |
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166.59259259259258 |
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], |
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[ |
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553.1111111111111, |
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198.59259259259258 |
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], |
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[ |
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686.1111111111111, |
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198.59259259259258 |
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], |
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[ |
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686.1111111111111, |
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166.59259259259258 |
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] |
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], |
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"group_id":null, |
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"shape_type":"polygon", |
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"flags":{} |
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}, |
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{ |
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"label":"Text", |
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"points":[ |
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[ |
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250.5925925925925, |
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298.0740740740741 |
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], |
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[ |
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250.5925925925925, |
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345.0740740740741 |
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], |
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[ |
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188.5925925925925, |
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345.0740740740741 |
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], |
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[ |
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188.5925925925925, |
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410.0740740740741 |
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], |
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[ |
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188.5925925925925, |
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456.0740740740741 |
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], |
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[ |
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324.5925925925925, |
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456.0740740740741 |
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], |
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[ |
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324.5925925925925, |
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410.0740740740741 |
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], |
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[ |
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1051.5925925925926, |
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410.0740740740741 |
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], |
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[ |
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1051.5925925925926, |
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345.0740740740741 |
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], |
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[ |
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1052.5925925925926, |
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345.0740740740741 |
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], |
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[ |
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1052.5925925925926, |
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298.0740740740741 |
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] |
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], |
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"group_id":null, |
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"shape_type":"polygon", |
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"flags":{} |
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}, |
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{ |
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"label":"Footer", |
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"points":[ |
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[ |
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1033.7407407407406, |
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1634.5185185185185 |
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], |
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[ |
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1033.7407407407406, |
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1646.5185185185185 |
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], |
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[ |
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1052.7407407407406, |
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1646.5185185185185 |
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], |
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[ |
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1052.7407407407406, |
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1634.5185185185185 |
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] |
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], |
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"group_id":null, |
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"shape_type":"polygon", |
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"flags":{} |
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} |
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], |
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"imagePath":"val_0031.jpg", |
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"imageData":null, |
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"imageHeight":1754, |
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"imageWidth":1240 |
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} |
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``` |
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### 转coco格式 |
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执行命令: |
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``` |
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# train |
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python3 labelme2coco.py train train_save_path --labels labels.txt |
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# val |
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python3 labelme2coco.py val val_save_path --labels labels.txt |
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``` |
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转换结果保存在train_save_path/val_save_path目录下。 |
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labelme2coco.py取自labelme，更多信息请参考[labelme官方项目](https://github.com/wkentaro/labelme/tree/master/examples/instance_segmentation) |
