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HORAE: an annotated dataset of books of hours

arXiv 2012.00351 ↗First posted 1 Dec 2020cs.CVcited by 13

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Abstract (arXiv)

We introduce in this paper a new dataset of annotated pages from books of hours, a type of handwritten prayer books owned and used by rich lay people in the late middle ages. The dataset was created for conducting historical research on the evolution of the religious mindset in Europe at this period since the book of hours represent one of the major sources of information thanks both to their rich illustrations and the different types of religious sources they contain. We first describe how the corpus was collected and manually annotated then present the evaluation of a state-of-the-art system for text line detection and for zone detection and typing. The corpus is freely available for research.

Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Dec 2020.

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Citing papers per year: 2021: 1; 2022: 3; 2023: 1; 2024: 2; 2025: 3; 2026: 3.

13 papers.

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  1. 2022A Survey of Historical Document Image Datasetscited by 18
  2. 2022Robust Text Line Detection in Historical Documents: Learning and Evaluation Methodscited by 4
  3. 2024U-DIADS-Bib: a full and few-shot pixel-precise dataset for document layout analysis of ancient manuscriptscited by 4
  4. 2021Synthesis in Style: Semantic Segmentation of Historical Documents using Synthetic Datacited by 2
  5. 2023Prompt me a Dataset: An investigation of text-image prompting for historical image dataset creation using foundation modelscited by 1
  6. 2025AnnoPage Dataset: Dataset of Non-Textual Elements in Documents with Fine-Grained Categorizationcited by 1
  7. 2026METATR: A Multilingual, Evolving Benchmark for Automatic Text Recognitioncited by 1
  8. 2022Confidence Estimation for Object Detection in Document Imagescited by 0
  9. 2024Diachronic Document Dataset for Semantic Layout Analysiscited by 0
  10. 2025Archival Faces: Detection of Faces in Digitized Historical Documentscited by 0
  11. 2025From Codicology to Code: A Comparative Study of Transformer and YOLO-based Detectors for Layout Analysis in Historical Documentscited by 0
  12. 2026iDocV2: Leveraging Self-Supervision and Open-Set Detection for Improving Pattern Spotting in Historical Documentscited by 0
1 more
  1. 2026Text region detection in historical astronomical diagramscited by 0