END-TO-END LITTER DETECTION USING A TINY HYBRID DATASET
Master's
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2022
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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 |
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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 |
_version_ |
1743119394295250944 |