Latin sentences sourced from The Latin Library, converted to images, were subsequently degraded via OCRODEG.
OCR (via Kraken and Tesseract) transcriptions were generated. The dataset was then augmented with several synthetic noise patterns in order to emulate the more severe corruption found in many older digitizations.
If you use this in your work, please cite:
@misc{mccarthy2025LACOROCR,
author = {McCarthy, A. M.},
title = {{Latin OCR Artifacts}},
year = {2025}… See the full description on the dataset page:
https://huggingface.co/datasets/aimgo/Latin-OCR-Artifacts.
