2026-10-10T22:38:03Z https://data.mendeley.com/oai

oai:data.mendeley.com/2r8367vkpm.1 2025-03-03T00:51:43Z

Islam, Md Riadul A Unique Feature Based Classifier for Bangla Currency using Deep Learning Mendeley Data A carefully prepared custom dataset containing a wide range of situations and denominations of 10- to 1000 Taka notes ensures that the approach is applicable and useful in the real world. The particular combination of YOLOv8 with ResNet-50 achieves outstanding results, with an amazing 99.82% accuracy in currency detection as well as classification. Extensive studies highlight the system's reliability in a wide range of external circumstances, demonstrating its potential for revolutionary currency identification in areas such as economic activity, financial transactions, and more. This particular study marks a new maturity in currency recognition. This is an important shift towards improved accuracy, sustainability, and general effectiveness in Bangladeshi notes of currency detection and classification in modern life. Image Analysis Dataset doi:10.17632/2r8367vkpm.1 oai:data.mendeley.com/2r8367vkpm.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/2r8367vkpm 2025-03-03T00:51:43Z