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Table Recognition Datasets
Here are the commonly used table recognition datasets, which are being updated continuously. Welcome to contribute datasets~
Dataset Summary
| dataset | Image download link | PPOCR format annotation download link |
|---|---|---|
| PubTabNet | https://github.com/ibm-aur-nlp/PubTabNet | jsonl format, which can be loaded directly with pubtab_dataset.py |
| TAL Table Recognition Competition Dataset | https://ai.100tal.com/dataset | jsonl format, which can be loaded directly with pubtab_dataset.py |
| WTW Chinese scene table dataset | https://github.com/wangwen-whu/WTW-Dataset | Conversion is required to load with pubtab_dataset.py |
1. PubTabNet
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Data Introduction：The training set of the PubTabNet dataset contains 500,000 images and the validation set contains 9000 images. Part of the image visualization is shown below.
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illustrate：When using this dataset, the CDLA-Permissive protocol is required.
2. TAL Table Recognition Competition Dataset
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Data Introduction：The training set of the TAL table recognition competition dataset contains 16,000 images. The validation set does not give trainable annotations.
3. WTW Chinese scene table dataset
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Data Introduction：The WTW Chinese scene table dataset consists of two parts: table detection and table data. The dataset contains images of two scenes, scanned and photographed.
