A novel dataset of Gupta archer type coins for machine learning-based classification

In the field of numismatics, classifying ancient coins, especially those that have diverse information and cultural heritage is a difficult task. Machine learning algorithms have recently made remarkable advancements in these types of tasks. However, these algorithms largely rely on relevant dataset...

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Bibliographic Details
Published in:Data in brief Vol. 57; p. 110934
Main Authors: Mamoon, Ishtiak Al, Siam, Zakaria Shams, Galib, Abdul Akhir Al, Dango, Theophil, Chakma, Kalin, Dev, Pranto, Hasan, Rubyat Tasnuva, Chowdhury, Muhammad E.H.
Format: Journal Article
Language:English
Published: Netherlands Elsevier Inc 01-12-2024
Elsevier
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Summary:In the field of numismatics, classifying ancient coins, especially those that have diverse information and cultural heritage is a difficult task. Machine learning algorithms have recently made remarkable advancements in these types of tasks. However, these algorithms largely rely on relevant datasets. This article presents a novel dataset of ancient Gupta archer-type coin images, collected from verified private collections and three popular auction houses with their permission. The images exclusively comprise authentic specimens of ancient Gupta archer-type coins. We aim to establish a reliable resource that adheres to the highest standards of numismatic research. These coins, characterized by their distinctive archer motifs, present a significant challenge in terms of identification due to their scarcity and the intricate nature of their design. To address this, we meticulously curated a dataset by annotating each coin through a combination of visual examination and leveraging insights from numismatic literatures. These coins inherit ancient Indian archaeological insights, and studying these coins could provide insights into ancient Indian archaeology.
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Authors contributed equally.
ISSN:2352-3409
2352-3409
DOI:10.1016/j.dib.2024.110934