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--- |
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task_categories: |
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- object-detection |
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version: 2024.07.17 |
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license: cc-by-4.0 |
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pretty_name: LADaS |
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size_categories: |
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- 1K<n<10K |
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--- |
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# LADaS: Layout Analysis Dataset with Segmonto |
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## Dataset Details |
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LADaS, created by the [ALMANaCH team-project](https://almanach.inria.fr/index-en.html) at Inria, |
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continued in partnership with other researchers, is a multidocuments diachronic layout analysis |
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dataset. This dataset includes: |
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- Monographs from the Bibliothèque Nationale de France (17th century - today); |
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- PhD Thesis, in various fields (not only STEM, 20th-21st century); |
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- Selling Catalogs (for manuscripts and art pieces), in various fields (18th-20th century); |
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- Noisy digitization (with fingers for example, 20th-21st century); |
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- Academic papers (mostly Humanities and Social Sciences) (19th-21st century); |
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- Magazines about technologies and video games, from 1920s to 2010; |
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- Misc stuff found here and there. |
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The data are in YoloV8 bbox format (center_x center_y width height). |
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The script in document is mostly Latin script, and language is mostly French with some representation of the main |
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western academic languages. |
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### Annotations |
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Label Annotation have been conducted using the [SegmOnto](https://segmonto.github.io/) vocabulary. |
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An annotation guide is available [here](https://github.com/DEFI-COLaF/LADaS/blob/25d4cf3f850cf79d18af572153cfbc73deff4160/AnnotationGuide.md). |
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### Dataset Description |
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- **Curated by:** Thibault Clérice & Juliette Janès |
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- **Funded by:** Défi COLaF, Inria |
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- **License:** CC-BY |
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## Uses |
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### Direct Use |
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- Layout Analysis |
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## Dataset Structure |
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You'll find 8 fields in the parquet: |
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- `image_path` is a string identifier for the file |
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- `year` is the year of production. It can be null. |
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- `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. |
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- `set` represents the subset of the data, there are a few, including `theatre` for plays, `monographies` for monographs, `theses` for PhD thesis, etc. |
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- `image` contains the image |
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- `width` and `height` are quite clear... |
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- `objects` is a dictionary with entries: |
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- `bbox` which represents a series of bbox using the COCO / YOLO format (tuple of relative center_x, center_y, width, height) |
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- `category` which contains a plain text representation of the annotation class of each bbox. There are 41 classes, further described on the annotation guide. |
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- `objects` can contain an empty `bbox` list and an empty `category` list: it means the image does not contain any objects. |
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### Annotations |
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#### Annotation process |
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The annotation process is described in the [dataset paper](https://inria.hal.science/hal-04513725). |
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#### Who are the annotators? |
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- Clérice, Thibault |
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- Janès, Juliette |
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- Scheithauer, Hugo |
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- Bénière, Sarah |
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- Bougrelle, Roxane |
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- [Anonymous place holder until a paper is published] |
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## Citation |
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**BibTeX:** |
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```tex |
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@misc{Clerice_Layout_Analysis_Dataset, |
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author = {Clérice, Thibault and Janès, Juliette and Scheithauer, Hugo and Bénière, Sarah and Bougrelle, Roxane and Romary, Laurent and Sagot, Benoit}, |
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title = {{Layout Analysis Dataset with SegmOnto (LADaS)}}, |
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url = {https://github.com/DEFI-COLaF/LADaS} |
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} |
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``` |
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## Dataset Card Contact |
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Thibault Clérice or Juliette Janes ([email protected]) |
