DEVELOPMENT OF A NIGERIAN CULTURAL ATTIRE RECOGNITION SYSTEM

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 de...

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Main Authors: OGUNBIYI DIMPLE, JIMOH KUDIRAT, ADEBAYO OLAJIDE, OKELOLA LOVELYN
Format: Article
Language:English
Published: Alma Mater Publishing House "Vasile Alecsandri" University of Bacau 2023-09-01
Series:Journal of Engineering Studies and Research
Subjects:
Online Access:https://jesr.ub.ro/index.php/1/article/view/377
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author OGUNBIYI DIMPLE
JIMOH KUDIRAT
ADEBAYO OLAJIDE
OKELOLA LOVELYN
author_facet OGUNBIYI DIMPLE
JIMOH KUDIRAT
ADEBAYO OLAJIDE
OKELOLA LOVELYN
author_sort OGUNBIYI DIMPLE
collection DOAJ
description 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.
format Article
id doaj-art-69b38d5842284de9b05ada8ebffdf55e
institution Kabale University
issn 2068-7559
2344-4932
language English
publishDate 2023-09-01
publisher Alma Mater Publishing House "Vasile Alecsandri" University of Bacau
record_format Article
series Journal of Engineering Studies and Research
spelling doaj-art-69b38d5842284de9b05ada8ebffdf55e2025-02-11T11:39:21ZengAlma Mater Publishing House "Vasile Alecsandri" University of BacauJournal of Engineering Studies and Research2068-75592344-49322023-09-01292DEVELOPMENT OF A NIGERIAN CULTURAL ATTIRE RECOGNITION SYSTEMOGUNBIYI DIMPLEJIMOH KUDIRATADEBAYO OLAJIDEOKELOLA LOVELYN 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. https://jesr.ub.ro/index.php/1/article/view/377recognition system, Nigerian attire, convolution neural network
spellingShingle OGUNBIYI DIMPLE
JIMOH KUDIRAT
ADEBAYO OLAJIDE
OKELOLA LOVELYN
DEVELOPMENT OF A NIGERIAN CULTURAL ATTIRE RECOGNITION SYSTEM
Journal of Engineering Studies and Research
recognition system, Nigerian attire, convolution neural network
title DEVELOPMENT OF A NIGERIAN CULTURAL ATTIRE RECOGNITION SYSTEM
title_full DEVELOPMENT OF A NIGERIAN CULTURAL ATTIRE RECOGNITION SYSTEM
title_fullStr DEVELOPMENT OF A NIGERIAN CULTURAL ATTIRE RECOGNITION SYSTEM
title_full_unstemmed DEVELOPMENT OF A NIGERIAN CULTURAL ATTIRE RECOGNITION SYSTEM
title_short DEVELOPMENT OF A NIGERIAN CULTURAL ATTIRE RECOGNITION SYSTEM
title_sort development of a nigerian cultural attire recognition system
topic recognition system, Nigerian attire, convolution neural network
url https://jesr.ub.ro/index.php/1/article/view/377
work_keys_str_mv AT ogunbiyidimple developmentofanigerianculturalattirerecognitionsystem
AT jimohkudirat developmentofanigerianculturalattirerecognitionsystem
AT adebayoolajide developmentofanigerianculturalattirerecognitionsystem
AT okelolalovelyn developmentofanigerianculturalattirerecognitionsystem