33 lines
1.6 KiB
Markdown
33 lines
1.6 KiB
Markdown
# Table Recognition Datasets
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- [Dataset Summary](#dataset-summary)
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- [1. PubTabNet](#1-pubtabnet)
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- [2. TAL Table Recognition Competition Dataset](#2-tal-table-recognition-competition-dataset)
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Here are the commonly used table recognition datasets, which are being updated continuously. Welcome to contribute datasets~
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## Dataset Summary
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| dataset | Image download link | PPOCR format annotation download link |
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|---|---|---|
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| PubTabNet |https://github.com/ibm-aur-nlp/PubTabNet| jsonl format, which can be loaded directly with [pubtab_dataset.py](../../../ppocr/data/pubtab_dataset.py) |
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| TAL Table Recognition Competition Dataset |https://ai.100tal.com/dataset| jsonl format, which can be loaded directly with [pubtab_dataset.py](../../../ppocr/data/pubtab_dataset.py) |
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## 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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<div align="center">
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<img src="../../datasets/table_PubTabNet_demo/PMC524509_007_00.png" width="500">
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<img src="../../datasets/table_PubTabNet_demo/PMC535543_007_01.png" width="500">
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</div>
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- **illustrate**：When using this dataset, the [CDLA-Permissive](https://cdla.io/permissive-1-0/) protocol is required.
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## 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.
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<div align="center">
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<img src="../../datasets/table_tal_demo/1.jpg" width="500">
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<img src="../../datasets/table_tal_demo/2.jpg" width="500">
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</div>
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