DETECTING THE PRESENCE AND LOCATION OF SURFACE DEFECTS FROM IMAGES

DETECTING THE PRESENCE AND LOCATION OF SURFACE DEFECTS FROM IMAGES

Bachelor's

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Bibliographic Details
Main Author: TANG CHIN SING
Other Authors: BUILDING
Format: Dissertation
Language:English
Published: 2019
Subjects:
Building
PFM
Project and Facilities Management
Clayton Miller
2019/2020 PFM
Computer Vision
Machine Learning
Convolutional Neural Network (CNN)
Classifier Model
Image Augmentation
Training Accuracy
Testing Accuracy
Online Access:https://scholarbank.nus.edu.sg/handle/10635/222709
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Institution: National University of Singapore
Language: English
id sg-nus-scholar.10635-222709
record_format dspace
spelling sg-nus-scholar.10635-2227092022-05-13T02:43:50Z DETECTING THE PRESENCE AND LOCATION OF SURFACE DEFECTS FROM IMAGES TANG CHIN SING BUILDING CLAYTON MILLER Building PFM Project and Facilities Management Clayton Miller 2019/2020 PFM Computer Vision Machine Learning Convolutional Neural Network (CNN) Classifier Model Image Augmentation Training Accuracy Testing Accuracy Bachelor's BACHELOR OF SCIENCE (PROJECT AND FACILITIES MANAGEMENT) 2019-12-10T09:40:23Z 2022-04-22T18:14:12Z 2020-01-06 2022-04-22T18:14:12Z 2019 Dissertation TANG CHIN SING (2019). DETECTING THE PRESENCE AND LOCATION OF SURFACE DEFECTS FROM IMAGES. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/222709 en https://lib.sde.nus.edu.sg/dspace/handle/sde/4670
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
topic Building
PFM
Project and Facilities Management
Clayton Miller
2019/2020 PFM
Computer Vision
Machine Learning
Convolutional Neural Network (CNN)
Classifier Model
Image Augmentation
Training Accuracy
Testing Accuracy
spellingShingle Building
PFM
Project and Facilities Management
Clayton Miller
2019/2020 PFM
Computer Vision
Machine Learning
Convolutional Neural Network (CNN)
Classifier Model
Image Augmentation
Training Accuracy
Testing Accuracy
TANG CHIN SING
DETECTING THE PRESENCE AND LOCATION OF SURFACE DEFECTS FROM IMAGES
description Bachelor's
author2 BUILDING
author_facet BUILDING
TANG CHIN SING
format Dissertation
author TANG CHIN SING
author_sort TANG CHIN SING
title DETECTING THE PRESENCE AND LOCATION OF SURFACE DEFECTS FROM IMAGES
title_short DETECTING THE PRESENCE AND LOCATION OF SURFACE DEFECTS FROM IMAGES
title_full DETECTING THE PRESENCE AND LOCATION OF SURFACE DEFECTS FROM IMAGES
title_fullStr DETECTING THE PRESENCE AND LOCATION OF SURFACE DEFECTS FROM IMAGES
title_full_unstemmed DETECTING THE PRESENCE AND LOCATION OF SURFACE DEFECTS FROM IMAGES
title_sort detecting the presence and location of surface defects from images
publishDate 2019
url https://scholarbank.nus.edu.sg/handle/10635/222709
_version_ 1734309782255304704

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