Application development for product recognition on-shelf with deep learning

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Application development for product recognition on-shelf with deep learning

Negligence of empty shelf and high human intervention have been the issues that leads to low customer retention in brick-and-mortar stores. Hence, state-ofthe-art deep learning models are trained and compared for product recognition on-shelf and an application to detect empty shelf with the best dee...

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Bibliographic Details
Main Author:	Eyu, Jer Min
Format:	Final Year Project / Dissertation / Thesis
Published:	2022
Subjects:	QA76 Computer software
Online Access:	http://eprints.utar.edu.my/5016/ http://eprints.utar.edu.my/5016/1/1906365_EYU_JER_MIN.pdf

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