icdar-task-b

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# ICDAR 2021 Challenge task b test set

The test set is composed of the following files:

1. `final_eval.zip` contains the images of the tables
2. `final_eval.json` contains the ground truth used in the evaluation of the challenge. The ground truth did not include `b` 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 option `ignore_nodes` as in the following example `teds = 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](https://git-lfs.github.com).

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}
}
```

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