Macro segmentation Computer Vision Project

DataCatalogue

Updated 23 days ago

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Classes (26)
DigitizationArtefactZone
GraphicZone
GraphicZone:Decoration
GraphicZone:FigDesc
GraphicZone:Head
MainZone:Entry
MainZone:Entry#Continued
MainZone:Form
MainZone:Head
MainZone:List
MainZone:Other
MainZone:P
MainZone:P#Continued
MainZone:P@CatalogueDesc
MainZone:Signature
MarginTextZone:ManuscriptAddendum
MarginTextZone:Notes
MarginTextZone:Notes#Continued
NumberingZone
PageTitleZone
PageTitleZone:Index
QuireMarkZone
RunningTitleZone
StampZone
StampZone:Sticker
TableZone

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Description

Auction sale catalogues macro segmentation

Document layout analysis dataset for segmenting the macro structure of sale catalogues.

We follow SegmOnto controlled vocabulary (https://segmonto.github.io/) and the COLaF (Inria, ALMAnaCH and Multispeech) schema.

Dataset

Two random folio have been selected from 8 auction sale catalogues collections, kept in the national library of France (Bibliothèque nationale de France, BnF), and the national institute for art history (Institut national d'histoire de l'art, INHA).

  • Bienaimé-Feuardent (BnF)
  • Bourgey (BnF)
  • Dubois (BnF)
  • Naville (BnF)
  • Rollin (BnF)
  • XVIIIe (BnF)
  • Desvouges (INHA)
  • Lair-Dubreuil (INHA)

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            macro-segmentation_dataset,
                            title = { Macro segmentation Dataset },
                            type = { Open Source Dataset },
                            author = { DataCatalogue },
                            howpublished = { \url{ https://universe.roboflow.com/datacatalogue/macro-segmentation } },
                            url = { https://universe.roboflow.com/datacatalogue/macro-segmentation },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { oct },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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