DETECTION AND CLASSIFICATION OF SEASON CLOTHES USING ML ON THE EDGE

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dc.contributor.authorSakenkyzy, Alua
dc.contributor.authorYeraliyeva, Nazerke
dc.contributor.authorBekubayev, Arsen
dc.contributor.authorSovet, Sanzhar
dc.date.accessioned2024-06-19T05:54:29Z
dc.date.available2024-06-19T05:54:29Z
dc.date.issued2024-04-19
dc.description.abstractThe creation of a machine learning (ML) model for the automatic identification of different types of seasonal clothes was the main goal of our research. The objective was to categorize into four main groups: winter clothes, trousers, long-sleeve, and short-sleeve items. Our goal was to facilitate the precise and efficient identification of different kinds of clothing products by utilizing Convolutional Neural Network (CNN) algorithms about their seasonal properties. We collected a dataset of over 1000 photos that represented the four-goal categories to train and evaluate our model. Carefully tagged images were used to enable supervised learning. The model gained the ability to recognize patterns and characteristics typical of various seasonal clothes through a process of training and validation, facilitating precise categorization. After a long training and validation process, our CNN model performed admirably in the classification of seasonal cloth. The classification accuracy of the model was higher than 80%. This high accuracy demonstrates the effectiveness of our method and its potential for useful use in real-world settings.en_US
dc.identifier.citationBekubayev, A., Sovet, S., Sakenkyzy, A., & Yeraliyeva, N. (2024). Detection and Classification of Season Clothes using ML on the Edge. Nazarbayev University School of Engineering and Digital Sciencesen_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/7902
dc.language.isoenen_US
dc.publisherNazarbayev University School of Engineering and Digital Sciencesen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectType of access: Restricteden_US
dc.subjectMachine Learningen_US
dc.subjectOpenMVen_US
dc.subjectClassificationen_US
dc.subjectSeasonal clothesen_US
dc.subjectNeural Networken_US
dc.titleDETECTION AND CLASSIFICATION OF SEASON CLOTHES USING ML ON THE EDGEen_US
dc.typeBachelor's thesisen_US
workflow.import.sourcescience

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