Here are the commonly used table recognition datasets, which are being updated continuously. Welcome to contribute datasets~
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 |
- 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.
- Data Introduction:The training set of the TAL table recognition competition dataset contains 16,000 images. The validation set does not give trainable annotations.