metadata

task_categories:
  - object-detection
version: 2024.07.17
license: cc-by-4.0
pretty_name: LADaS
size_categories:
  - 1K<n<10K

LADaS: Layout Analysis Dataset with Segmonto

Dataset Details

LADaS, created by the ALMANaCH team-project at Inria, continued in partnership with other researchers, is a multidocuments diachronic layout analysis dataset. This dataset includes:

Monographs from the Bibliothèque Nationale de France (17th century - today);
PhD Thesis, in various fields (not only STEM, 20th-21st century);
Selling Catalogs (for manuscripts and art pieces), in various fields (18th-20th century);
Noisy digitization (with fingers for example, 20th-21st century);
Academic papers (mostly Humanities and Social Sciences) (19th-21st century);
Magazines about technologies and video games, from 1920s to 2010;
Misc stuff found here and there.

The data are in YoloV8 bbox format (center_x center_y width height).

The script in document is mostly Latin script, and language is mostly French with some representation of the main western academic languages.

Annotations

Label Annotation have been conducted using the SegmOnto vocabulary. An annotation guide is available here.

Dataset Description

Curated by: Thibault Clérice & Juliette Janès
Funded by: Défi COLaF, Inria
License: CC-BY

Uses

Direct Use

Layout Analysis

Dataset Structure

Data contains the main split that is loaded through load_dataset("CATMuS/medieval")
Data can be split with each manuscript inside train, val and test using the gen_split columns which results in a 90/5/5 split
The image is in the im column, and the text in the text column

Annotations [optional]

Annotation process

The annotation process is described in the dataset paper.

Who are the annotators?

Citation

BibTeX:

@misc{Clerice_Layout_Analysis_Dataset,
  author = {Clérice, Thibault and Janès, Juliette and Scheithauer, Hugo and Bénière, Sarah and Langlais, Pierre-Carl and Romary, Laurent and Sagot, Benoit and Bougrelle, Roxane},
  title = {{Layout Analysis Dataset with SegmOnto (LADaS)}},
  url = {https://github.com/DEFI-COLaF/LADaS}
}

Dataset Card Contact

Thibault Clérice or Juliette Janes (first.last@inria.fr)