DEVELOPMENT OF A NIGERIAN CULTURAL ATTIRE RECOGNITION SYSTEM

Main Article Content

OGUNBIYI DIMPLE
JIMOH KUDIRAT
ADEBAYO OLAJIDE
OKELOLA LOVELYN

Abstract

This paper presents the development of a system to automatically recognize Nigerian traditional attire worn by major ethnic groups. Samples of clothing images depicting the cultural groups were obtained from publicly available online sources and an architecture to classify the images classes was designed using the Convolutional Neural Network (CNN) model. Performance evaluation results from experiment show that the model can classify images accordingly, achieving a validation accuracy score of 86 %. A web application interface was also implemented to validate the model’s accuracy which shows good potential when integrated in commercial clothing applications.

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How to Cite
DIMPLE, O., KUDIRAT, J., OLAJIDE, A., & LOVELYN, O. (2023). DEVELOPMENT OF A NIGERIAN CULTURAL ATTIRE RECOGNITION SYSTEM. Journal of Engineering Studies and Research, 29(2), 20-25. Retrieved from https://jesr.ub.ro/index.php/1/article/view/377
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Articles
Author Biographies

OGUNBIYI DIMPLE

Department of Information and Communication Technology, Osun State University, PMB 4494, Osogbo, Nigeria

JIMOH KUDIRAT

Department of Information and Communication Technology, Osun State University, PMB 4494, Osogbo, Nigeria

ADEBAYO OLAJIDE

Department of Information and Communication Technology, Osun State University, PMB 4494, Osogbo, Nigeria

OKELOLA LOVELYN

Department of Information and Communication Technology, Osun State University, PMB 4494, Osogbo, Nigeria