END-TO-END LITTER DETECTION USING A TINY HYBRID DATASET

Master's

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Main Author: IRVIN TANG KAIJUN
Other Authors: THE BUILT ENVIRONMENT
Format: Theses and Dissertations
Language:English
Published: 2022
Subjects:
Online Access:https://scholarbank.nus.edu.sg/handle/10635/229568
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-2295682022-07-31T18:00:42Z END-TO-END LITTER DETECTION USING A TINY HYBRID DATASET IRVIN TANG KAIJUN THE BUILT ENVIRONMENT Clayton Carl Miller convolutional neural networks (cnn), synthetic datasets, object detection, litter Master's MASTER OF SCIENCE (RSH-CDE) 2022-07-31T18:00:41Z 2022-07-31T18:00:41Z 2022-01-10 Thesis IRVIN TANG KAIJUN (2022-01-10). END-TO-END LITTER DETECTION USING A TINY HYBRID DATASET. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/229568 en
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
topic convolutional neural networks (cnn), synthetic datasets, object detection, litter
spellingShingle convolutional neural networks (cnn), synthetic datasets, object detection, litter
IRVIN TANG KAIJUN
END-TO-END LITTER DETECTION USING A TINY HYBRID DATASET
description Master's
author2 THE BUILT ENVIRONMENT
author_facet THE BUILT ENVIRONMENT
IRVIN TANG KAIJUN
format Theses and Dissertations
author IRVIN TANG KAIJUN
author_sort IRVIN TANG KAIJUN
title END-TO-END LITTER DETECTION USING A TINY HYBRID DATASET
title_short END-TO-END LITTER DETECTION USING A TINY HYBRID DATASET
title_full END-TO-END LITTER DETECTION USING A TINY HYBRID DATASET
title_fullStr END-TO-END LITTER DETECTION USING A TINY HYBRID DATASET
title_full_unstemmed END-TO-END LITTER DETECTION USING A TINY HYBRID DATASET
title_sort end-to-end litter detection using a tiny hybrid dataset
publishDate 2022
url https://scholarbank.nus.edu.sg/handle/10635/229568
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