Historic(al) Maps: Meta guidance, tools, repositories, databases, search engines, and online resources for the exploration of Historic and Historical Maps.
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Updated
Oct 30, 2024 - HTML
Historic(al) Maps: Meta guidance, tools, repositories, databases, search engines, and online resources for the exploration of Historic and Historical Maps.
Documnet Image Binarization, DIBCO Challenges
A Mongoose plugin that archives document diffs and manages document history.
Data for the HIPE 2022 shared task.
OCR-D compliant toolset for optical layout recognition on historical german-language documents published in Brazil
Official PyTorch implementation of "Investigating the Effect of using Synthetic and Semi-synthetic Images for Historical Document Font Classification" - DAS 2021
Implementation of PHOSNet and Pho(SC)Net for Word Recognition in Historical Documents. Implemented using Tensorflow 2.x
🔬 Impresso Datalab Notebooks
Thulium is a production-ready Python library for offline handwritten text recognition (HTR) supporting 52+ languages across Latin, Cyrillic, Greek, Arabic, Hebrew, Devanagari, Chinese, Japanese, Korean, and Georgian scripts.
A python-based pipeline to query the USGS Historical Topographic Map Collection (HTMC) and to download, spatially aggregate, and mosaic large amounts of individual map sheets.
Hosting for various texts to be used in NLP projects (et al)
🚀 The frontend application of the Impresso WebApp
Tai Le historical document image binarization dataset, TLHDIBD2021
The code for the paper "Historical Printed Ornaments: Dataset and Tasks" (ICDAR 2024).
Post-processing filter for (Named) Entity Linking
This project offers an advanced Optical Character Recognition (OCR) solution specialized for Chinese historical documents, uniquely addressing complex layouts and reading orders.
GPU-enhanced OCR pipeline for historical newspapers using Google Vision or Tesseract
Baseline models for HIPE-2022
Turn Old City Directory scans into searchable data. Automated pipeline handles column detection, OCR processing, and accuracy evaluation for historical document digitization.
Code and supplementary materials for the paper: "Different Strokes for Different Folks: Writer Identification for Historical Arabic Manuscripts"
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