mirror of
https://github.com/PaddlePaddle/PaddleOCR.git
synced 2025-06-03 21:53:39 +08:00
* docs: Add a new document site * docs: Update comment setting * chore(pre-commit): Remove rules of md and remove the size limits of 512kb * chore(format): Run pre-commit in local * ci(document): Change the default name of building document site. * chore: Update .pre-commit-config.yaml
1.8 KiB
1.8 KiB
comments
comments |
---|
true |
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
-
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.
-
illustrate:When using this dataset, the CDLA-Permissive protocol is required.
2. TAL Table Recognition Competition Dataset
-
Data Introduction:The training set of the TAL table recognition competition dataset contains 16,000 images. The validation set does not give trainable annotations.