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 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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Publication Details

Journal
Data in Brief
Published
2024-09-17
DOI
https://doi.org/10.1016/j.dib.2024.110934
Citations
3
Primary Topic
Currency Recognition and Detection
Type
article
Field-Weighted Citation Impact
0.75

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article

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

Rubyat Tasnuva Hasan, Pranto Dev, Muhammad E. H. Chowdhury, Zakaria Shams Siam et al.
3 citations
Data in Brief
Currency Recognition and Detection
0.75
article

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

Rubyat Tasnuva Hasan, Pranto Dev, Muhammad E. H. Chowdhury, Zakaria Shams Siam, Ishtiak Al Mamoon, Abdul Akhir Al Galib, Theophil Dango, Kalin Chakma
article en
3 citations

Abstract

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.

Data in BriefVol. 57
Albany State University (US), University at Albany, State University of New York (US), Biomedical Research Foundation (BD), BRAC University (BD), Qatar University (QA)
Qatar National Library
Openalex Percentile: Top 28%
Currency Recognition and Detection
0.75
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A novel dataset of Gupta archer type coins for machine learning-based classification — Rubyat Tasnuva Hasan, Pranto Dev, et al. · Data in Brief (2024) | TGRS Research Map | TGRS