GLOBALISE Loghi Handwritten Text Recognition Model - August 2023
type: Dataset
description: This is a Loghi Handwritten Text Recognition (HTR) model that was created to transcribe text on the scans of the GLOBALISE VOC corpus. It was finetuned using Ground Truth that is also available in this Dataverse (GLOBALISE Ground Truth for Handwritten Text and Layout Recognition) and applied using the Loghi HTR tools to generate VOC transcriptions v2 - GLOBALISE. The model's hyperparameters are available in the file metadata.json.
language: nl
language: en
creator: GLOBALISE project
contributor: Stefan Klut
contributor: Rutger van Koert
contributor: Martijn Maas
  type: Person
  given name: Martijn
  family name: Maas
  affiliation: KNAW Humanities Cluster Digital Infrastructure
date published: 2024-04-11
date modified: 2024-04-11
version: V1
keywords: Arts and Humanities
keywords: Computer and Information Science
keywords: Handwriting Recognition
keywords: Artificial Intelligence Model
license: http://creativecommons.org/licenses/by/4.0
included in data catalog: GLOBALISE Dataverse - IISH Data Collection
publisher: GLOBALISE project
provider: International Institute of Social History
funder: Dutch Research Council (NWO)
citation: GLOBALISE Ground Truth for Handwritten Text and Layout Recognition
citation: VOC transcriptions v2 - GLOBALISE
citation: https://doi.org/10.1145/3604951.3605520
distribution: charlist.txt
  type: DataDownload
  encoding format: text/plain
  content size: 931
distribution: config.json
  type: DataDownload
  encoding format: application/json
  content size: 50507
distribution: fingerprint.pb
  type: DataDownload
  encoding format: application/octet-stream
  content size: 55
distribution: keras_metadata.pb
  type: DataDownload
  encoding format: application/octet-stream
  content size: 410169
distribution: metadata.json
  type: DataDownload
  encoding format: application/json
  content size: 54621
distribution: saved_model.pb
  type: DataDownload
  encoding format: application/octet-stream
  content size: 16196662
distribution: variables.data-00000-of-00001
  type: DataDownload
  encoding format: application/octet-stream
  content size: 401725803
distribution: variables.index
  type: DataDownload
  encoding format: application/octet-stream
  content size: 43357

GLOBALISE project
type: Organization

Stefan Klut
type: Person
given name: Stefan
family name: Klut
affiliation: KNAW Humanities Cluster Digital Infrastructure

Rutger van Koert
type: Person
given name: Rutger
family name: van Koert
affiliation: KNAW Humanities Cluster Digital Infrastructure

GLOBALISE Dataverse - IISH Data Collection
type: DataCatalog
publisher: International Institute of Social History
dataset: GLOBALISE Loghi Handwritten Text Recognition Model - August 2023

International Institute of Social History
type: Organization

Dutch Research Council (NWO)
type: Organization

https://doi.org/10.1145/3604951.3605520
name: Stefan Klut, Rutger van Koert, and Ronald Sluijter. 2023. Laypa: A Novel Framework for Applying Segmentation Networks to Historical Documents. In 7th International Workshop on Historical Document Imaging and Processing (HIP ’23), August 25–26, 2023, San Jose, CA, USA. ACM, New York, NY, USA, 6 pages.