Awesome
ICDAR 2021 Challenge task b test set
The test set is composed of the following files:
final_eval.zip
contains the images of the tablesfinal_eval.json
contains the ground truth used in the evaluation of the challenge. The ground truth did not includeb
tags that typically highlight text in bold. This was considered during the evaluation of the challenge. If you use the TEDS tools to evaluate your output, please consider the optionignore_nodes
as in the following exampleteds = TEDS(n_jobs=args.threads, ignore_nodes='b')
.
You need to install and setup git lfs
to access the files, please consider the instructions here.
ICDAR 2021 Challenge journal article:
@inproceedings{jimeno2021icdar,
title={ICDAR 2021 Competition on Scientific Literature Parsing},
author={Jimeno Yepes, Antonio and Zhong, Peter and Burdick, Douglas},
booktitle={International Conference on Document Analysis and Recognition},
pages={605--617},
year={2021},
organization={Springer}
}
PubTabNet article:
@inproceedings{zhong2020image,
title={Image-based table recognition: data, model, and evaluation},
author={Zhong, Xu and ShafieiBavani, Elaheh and Jimeno Yepes, Antonio},
booktitle={European Conference on Computer Vision},
pages={564--580},
year={2020},
organization={Springer}
}