Efficient Dataset Collection for Concrete Crack Detection With Spatial-Adaptive Data Augmentation

In this paper, we propose a data augmentation technique based on Convolutional Neural Networks (CNN or ConvNet) training to efficiently obtain a dataset of images containing concrete cracks. Concrete cracks usually do not have a standardized shape and have complex patterns, making it difficult to ob...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Jong-Hyun Kim, Jung Lee
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Subjects:	Spatial-adaptive augmentation concrete crack data augmentation convolutional neural networks crack direction crack thickness
Online Access:	https://ieeexplore.ieee.org/document/10298197/