SSamDav/icdar-2019-competition-cbad

ICDAR 2019 Competition on Baseline Detection (cBAD) Dataset

Dataset Description

The ICDAR 2019 Competition on Baseline Detection (cBAD) dataset was developed for the eponymous competition focused on Baseline Detection in historical documents. Baseline detection is a critical step for segmenting handwritten lines before Handwritten Text Recognition (HTR).

This is a newly created, real-world dataset consisting of 3,021 annotated document page images collected from seven different European archives.

Dataset Creation

Source Data

The document images were collected from various archival sources across Europe as part of the READ project (Recognition and Enrichment of Archival Documents).

Creators

The primary creators of the competition and dataset are: Markus Diem, Florian Kleber, and Basilis Gatos.

Funding

The dataset was created under the auspices of the European Commission's READ (Recognition and Enrichment of Archival Documents) project (Grant ID: 674943).

License

The dataset is licensed under the Creative Commons Attribution 4.0 International (CC-BY-4.0) license.

Citation

When using this dataset, please cite the original Zenodo record as follows:

@dataset{DiemKleberGatos2019,
  author    = {Diem, Markus and Kleber, Florian and Gatos, Basilis},
  title     = {{ICDAR 2019 Competition on Baseline Detection (cBAD)}},
  publisher = {Zenodo},
  year      = {2019},
  doi       = {10.5281/zenodo.3568023},
  url       = {[https://zenodo.org/records/3568023](https://zenodo.org/records/3568023)}
}