Published May 28, 2021 | Version v1
Dataset Open

ICDAR 2021 Historical Document Classification Dataset for Task 2 - Dating

  • 1. Friedrich-Alexander-Universität Erlangen-Nürnberg
  • 2. Johannes Gutenberg-Universität Mainz
  • 3. Institut de Recherche et d'Histoire des Textes

Description

Dataset for the localization classification task of the ICDAR 2021 Competition on Historical Document Classification competition. The tar.gz file contains the images and ground truth file (CSV format). The metadata csv file contains information, such as where the image comes from.

Files

task2-dating-test-meta.csv

Files (28.0 GB)

Name Size Download all
md5:b01c76498be879e7988ac706e1bd29c6
28.0 GB Download
md5:215386c9843d8956a17547e355dd3df6
141.7 kB Preview Download

Additional details

Related works

Is supplemented by
Dataset: 10.5281/zenodo.4836551 (DOI)
Dataset: 10.5281/zenodo.4836659 (DOI)
Dataset: 10.5281/zenodo.4836707 (DOI)