KZ-BD: Dataset of Kazakhstan banknotes with annotations
The field of deep learning is rapidly advancing and impacting various industries, including banking. However, there are still challenges when it comes to accurately identifying the denomination of currencies, especially when dealing with issues like variation within the same class of currency and in...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Elsevier
2024-04-01
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Series: | Data in Brief |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340924000490 |
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author | Ualikhan Sadyk Rashid Baimukashev Akgul Bozshina Cemil Turan |
author_facet | Ualikhan Sadyk Rashid Baimukashev Akgul Bozshina Cemil Turan |
author_sort | Ualikhan Sadyk |
collection | DOAJ |
description | The field of deep learning is rapidly advancing and impacting various industries, including banking. However, there are still challenges when it comes to accurately identifying the denomination of currencies, especially when dealing with issues like variation within the same class of currency and inconsistent lighting conditions. One notable problem is the lack of available data for Kazakhstan's currency. This research paper introduces the Kazakhstan Banknotes Dataset (KZ-BD), which is a unique collection of 4200 carefully annotated images covering 14 different categories. The dataset includes high-resolution images of authentic Kazakhstan Tenge in both coin and paper note forms, ranging from 1 to 20,000 tenge denominations. Each image has undergone strict de-identification and validation procedures, and the dataset is openly accessible to artificial intelligence researchers. This contribution addresses the data gap in deep learning research related to currency identification by offering a comprehensive dataset for Kazakhstan's currency, enabling better evaluation and fine-tuning of machine learning models with real-world data. |
first_indexed | 2024-03-08T05:14:17Z |
format | Article |
id | doaj.art-8de244d1afd64f4aaa7265f303505bac |
institution | Directory Open Access Journal |
issn | 2352-3409 |
language | English |
last_indexed | 2024-04-24T22:20:26Z |
publishDate | 2024-04-01 |
publisher | Elsevier |
record_format | Article |
series | Data in Brief |
spelling | doaj.art-8de244d1afd64f4aaa7265f303505bac2024-03-20T06:09:36ZengElsevierData in Brief2352-34092024-04-0153110076KZ-BD: Dataset of Kazakhstan banknotes with annotationsUalikhan Sadyk0Rashid Baimukashev1Akgul Bozshina2Cemil Turan3Corresponding authors.; SDU University, Kaskelen, KazakhstanCorresponding authors.; SDU University, Kaskelen, KazakhstanSDU University, Kaskelen, KazakhstanSDU University, Kaskelen, KazakhstanThe field of deep learning is rapidly advancing and impacting various industries, including banking. However, there are still challenges when it comes to accurately identifying the denomination of currencies, especially when dealing with issues like variation within the same class of currency and inconsistent lighting conditions. One notable problem is the lack of available data for Kazakhstan's currency. This research paper introduces the Kazakhstan Banknotes Dataset (KZ-BD), which is a unique collection of 4200 carefully annotated images covering 14 different categories. The dataset includes high-resolution images of authentic Kazakhstan Tenge in both coin and paper note forms, ranging from 1 to 20,000 tenge denominations. Each image has undergone strict de-identification and validation procedures, and the dataset is openly accessible to artificial intelligence researchers. This contribution addresses the data gap in deep learning research related to currency identification by offering a comprehensive dataset for Kazakhstan's currency, enabling better evaluation and fine-tuning of machine learning models with real-world data.http://www.sciencedirect.com/science/article/pii/S2352340924000490Central Asian currencyBanknote recognitionCurrency detectionMachine learning |
spellingShingle | Ualikhan Sadyk Rashid Baimukashev Akgul Bozshina Cemil Turan KZ-BD: Dataset of Kazakhstan banknotes with annotations Data in Brief Central Asian currency Banknote recognition Currency detection Machine learning |
title | KZ-BD: Dataset of Kazakhstan banknotes with annotations |
title_full | KZ-BD: Dataset of Kazakhstan banknotes with annotations |
title_fullStr | KZ-BD: Dataset of Kazakhstan banknotes with annotations |
title_full_unstemmed | KZ-BD: Dataset of Kazakhstan banknotes with annotations |
title_short | KZ-BD: Dataset of Kazakhstan banknotes with annotations |
title_sort | kz bd dataset of kazakhstan banknotes with annotations |
topic | Central Asian currency Banknote recognition Currency detection Machine learning |
url | http://www.sciencedirect.com/science/article/pii/S2352340924000490 |
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