Car-interior object detection using deep learning

Object detection represents a pivotal facet of computer vision, offering versatile applications across various domains including industrial inspection and intelligent video surveillance. Its value lies in its potential to substantially alleviate the demand for human resources through the implementat...

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Bibliographic Details
Main Author:	Zhou, Yang
Other Authors:	Yap Kim Hui
Format:	Thesis-Master by Coursework
Language:	English
Published:	Nanyang Technological University 2023
Subjects:	Engineering::Electrical and electronic engineering
Online Access:	https://hdl.handle.net/10356/170785
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-170785
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spelling	sg-ntu-dr.10356-1707852023-10-06T15:42:53Z Car-interior object detection using deep learning Zhou, Yang Yap Kim Hui School of Electrical and Electronic Engineering EKHYap@ntu.edu.sg Engineering::Electrical and electronic engineering Object detection represents a pivotal facet of computer vision, offering versatile applications across various domains including industrial inspection and intelligent video surveillance. Its value lies in its potential to substantially alleviate the demand for human resources through the implementation of computer vision solutions. This strategic utilization holds profound significance and offers tangible practical implications. Master of Science (Communications Engineering) 2023-10-03T04:34:49Z 2023-10-03T04:34:49Z 2023 Thesis-Master by Coursework Zhou, Y. (2023). Car-interior object detection using deep learning. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/170785 https://hdl.handle.net/10356/170785 en ISM-DISS-02672 application/pdf Nanyang Technological University
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	Engineering::Electrical and electronic engineering
spellingShingle	Engineering::Electrical and electronic engineering Zhou, Yang Car-interior object detection using deep learning
description	Object detection represents a pivotal facet of computer vision, offering versatile applications across various domains including industrial inspection and intelligent video surveillance. Its value lies in its potential to substantially alleviate the demand for human resources through the implementation of computer vision solutions. This strategic utilization holds profound significance and offers tangible practical implications.
author2	Yap Kim Hui
author_facet	Yap Kim Hui Zhou, Yang
format	Thesis-Master by Coursework
author	Zhou, Yang
author_sort	Zhou, Yang
title	Car-interior object detection using deep learning
title_short	Car-interior object detection using deep learning
title_full	Car-interior object detection using deep learning
title_fullStr	Car-interior object detection using deep learning
title_full_unstemmed	Car-interior object detection using deep learning
title_sort	car-interior object detection using deep learning
publisher	Nanyang Technological University
publishDate	2023
url	https://hdl.handle.net/10356/170785
_version_	1779171088505241600

Car-interior object detection using deep learning

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