Clothify: Personalized Clothing Recommendations and Identification Technology [Clothing Recognition and Style Recommendations]

Karadeniz, Havva Eda (2024) Clothify: Personalized Clothing Recommendations and Identification Technology [Clothing Recognition and Style Recommendations]. Masters thesis, Dublin, National College of Ireland.

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Abstract

In this work, a deep learning model is developed for the purpose of classifying and recommending fashion products. Efficient classification and recommendation systems in the fashion sector can greatly improve consumer experience by facilitating fast and precise product finding. DeepFashion dataset was used in this research to analyze product photos and create a classification and recommendation system. The trained model has high accuracy and offers recommendations that are compatible with user preferences.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Zahoor, Sheresh UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science H Social Sciences > HD Industries. Land use. Labor > Specific Industries > Fashion Industry Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Artificial Intelligence
Depositing User:	Ciara O'Brien
Date Deposited:	18 Jun 2025 13:19
Last Modified:	18 Jun 2025 13:19
URI:	https://norma.ncirl.ie/id/eprint/7915

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