Egyptian Hieroglyphs Localisation Through Object Detection

Lucia Lombardi, Francesco Mercaldo, Antonella Santone

2024

Abstract

Old Egyptians used Hieroglyphic language to record their findings in medicine, engineering, sciences, achievements, their religious views, beside facts from their daily life. Thus, it is fundamentally important to understand and digitally store these scripts for anyone who wants to understand the Egyptian history and learn more about this great civilization. The interpretation of Egyptian hieroglyphs is areasonably broad and highly complex problem, but have always been fascinating with their stories and the ability to be read in several ways rather than one, which is a challenge in itself to be translated to modern languages. In this paper, we adopt the YOLO 8 model which revolutionized object detection with its one-stage deep learning approach. YOLO is designed to classify images and accurately determine the positions of detected objects within them. Using this DL approach, we were able to significantly reduce the time required to investigate the interpretation of hieroglyphs. To ensure the reproducibility of our results, we opted to utilize a publicly available dataset. All the metrics demonstrate the anticipated patterns: precision, recall, mAP 0.5, and mAP 0.5:0.95 are expected to increase as the number of epochs progresses, indicative of the model effectively learning to detect objects from Egyptian hieroglyphs images.

Paper Citation

in Harvard Style

Lombardi L., Mercaldo F. and Santone A. (2024). Egyptian Hieroglyphs Localisation Through Object Detection. In Proceedings of the 19th International Conference on Software Technologies - Volume 1: ICSOFT; ISBN 978-989-758-706-1, SciTePress, pages 434-441. DOI: 10.5220/0012787900003753

in Bibtex Style

@conference{icsoft24,
author={Lucia Lombardi and Francesco Mercaldo and Antonella Santone},
title={Egyptian Hieroglyphs Localisation Through Object Detection},
booktitle={Proceedings of the 19th International Conference on Software Technologies - Volume 1: ICSOFT},
year={2024},
pages={434-441},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012787900003753},
isbn={978-989-758-706-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Conference on Software Technologies - Volume 1: ICSOFT
TI - Egyptian Hieroglyphs Localisation Through Object Detection
SN - 978-989-758-706-1
AU - Lombardi L.
AU - Mercaldo F.
AU - Santone A.
PY - 2024
SP - 434
EP - 441
DO - 10.5220/0012787900003753
PB - SciTePress