Historical Printed Ornaments: Dataset and Tasks

Official repository of the paper "Historical Printed Ornaments: Dataset and Tasks". We introduce Rey's Ornaments dataset which focuses on an XVIIIth century bookseller, Marc Michel Rey, providing a consistent set of ornaments with a wide diversity and representative challenges. We additinally highlight three complex tasks that are of critical interest to book historians: (a) clustering, (b) element discovery, and (c) unsupervised change localization.

Datasets 📜 and Evaluation 📈

We offer three task-specific subsets of Rey's Ornaments dataset:

./
├── clustering
├── element_discovery
└── change_localization

Detailed explanations of datasets, tasks, baselines and evaluation demos are presented in following ReadMe files:

clustering ReadMe
element discovery ReadMe
change localization ReadMe

Citation 🔖

@inproceedings{chaki2024historical,
  title={Historical Printed Ornaments: Dataset and Tasks},
  author={Chaki, Sayan Kumar and Baltaci, Zeynep Sonat and Vincent, Elliot and Emonet, Remi and Vial-Bonacci, Fabiene and Bahier-Porte, Christelle and Aubry, Mathieu and Fournel, Thierry},
  booktitle={ICDAR},
  year={2024}
}

License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Acknowledgements

The Rey's Ornaments dataset was produced as part of the Rey’s Ornaments Image investigation project (ROIi, 2020-2025, see https://ro2i.hypotheses.org), a project in digital humanities funded by the French National Research Agency (ANR). The dataset which is a part of the ROIi database, is made publicly available for research purposes in computer vision by the members of the ROIi project, IHRIM (UMR 5317) and Hubert Curien lab (UMR 5516).

The images were cropped from digitized pages of ancient books, stored either in the Bibliothèque Nationale de France (BnF) or in the Bibliothèque Municipale de Lyon (BML, a partner of the ROIi project). The provenance for each image file is indicated by the first part of the file name (« BnF » and « BML », respectively). Their conditions of use are indicated by the license files accessible on the websites of BnF Gallica and BML Numélyo.

S. Baltaci, E. Vincent and M. Aubry were supported by ERC project DISCOVER funded by the European Union’s Horizon Europe Research and Innovation program under grant agreement No. 101076028 and ANR VHS project ANR-21-CE38-0008.