---
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](https://almanach.inria.fr/index-en.html) 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](https://segmonto.github.io/) vocabulary. 
An annotation guide is available [here](https://github.com/DEFI-COLaF/LADaS/blob/25d4cf3f850cf79d18af572153cfbc73deff4160/AnnotationGuide.md).


### Dataset Description


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

## Uses

### Direct Use

- Layout Analysis

## Dataset Structure

You'll find 8 fields in the parquet:

- `image_path` is a string identifier for the file
- `year` is the year of production. It can be null.
- `dating-certainty` is used to specify when a date is automatically provided based on a date range and a century range. They will usually be centuries, such as 1600.
- `set` represents the subset of the data, there are a few, including `theatre` for plays, `monographies` for monographs, `theses` for PhD thesis, etc.
- `image` contains the image
- `width` and `height` are quite clear...
- `objects` is a dictionary with entries:
  - `bbox` which represents a series of bbox using the COCO / YOLO format (tuple of relative center_x, center_y, width, height)
  - `category` which contains a plain text representation of the annotation class of each bbox. There are 41 classes, further described on the annotation guide.
  - `objects` can contain an empty `bbox` list and an empty `category` list: it means the image does not contain any objects.
### Annotations

#### Annotation process

The annotation process is described in the [dataset paper](https://inria.hal.science/hal-04513725).

#### Who are the annotators?

- Clérice, Thibault
- Janès, Juliette
- Scheithauer, Hugo
- Bénière, Sarah
- Bougrelle, Roxane
- [Anonymous place holder until a paper is published]

## Citation

**BibTeX:**

```tex
@misc{Clerice_Layout_Analysis_Dataset,
  author = {Clérice, Thibault and Janès, Juliette and Scheithauer, Hugo and Bénière, Sarah and Bougrelle, Roxane and Romary, Laurent and Sagot, Benoit},
  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)