AMSMB HTR model for Medieval Notarial Manuscripts

Version 2.0
Berganzo-Besga, Iban; Coll Ardanuy, Mariona, 2025, "AMSMB HTR model for Medieval Notarial Manuscripts", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/AQRKOH, BSC Dataverse, V2
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Description
AMSMB HTR is a model trained using Kraken. The model uses the Tridis v1 model as base and is fine-tuned on the AMSMB HTR dataset (model named ft:v1 on the paper). Details on how the model was trained are reported in our GitLab repository and in our paper (see citation information below). (2025-06-25)
Subject Arts and Humanities
Keyword handwritten text recognition, Late Middle Ages, automatic transcription
Related Publication Is Supplement To: Mariona Coll Ardanuy, Iban Berganzo-Besga, Ramon Sarobe, and Coral Cuadrada. 2025 (forthcoming). Evaluating Handwritten Text Recognition in Medieval Notarial Manuscripts: A New Dataset and Comprehensive Analysis. In International Conference on Document Analysis and Recognition.
Notes Related Datasets: AMSMB HTR dataset: https://dataverse.bsc.es/citation?persistentId=perma:BSC/0VB0MC
License/Data Use Agreement

CC BY-SA 4.0

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