Crack identification from concrete structure images using deep transfer learning

Early crack identification of civil structures is an essential task to prolong the life of the structures and to promise public safety. This research aims to develop an automated crack identification system using deep learning models and the SDNET2018 dataset. Image augmentation is applied to overco...

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Bibliographic Details

Published in:	2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) pp. 1 - 7
Main Authors:	Syed, Amena Qadri, Jothi, J.Angel Arul, Anusree, K
Format:	Conference Proceeding
Language:	English
Published:	IEEE 12-02-2022
Subjects:	convolutional neural network Crack detection data augmentation Deep learning Feature extraction Image segmentation machine learning Neural networks Signal processing Training Transfer learning
Online Access:	Get full text
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