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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Published in: | Data in brief Vol. 57; p. 110934 |
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Main Authors: | , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Netherlands
Elsevier Inc
01-12-2024
Elsevier |
Subjects: | |
Online Access: | Get full text |
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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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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Authors contributed equally. |
ISSN: | 2352-3409 2352-3409 |
DOI: | 10.1016/j.dib.2024.110934 |