Abstract: Recent state-of-the-art pavement crack detection algorithms are data-driven and domain-sensitive due to their heavy reliance on datasets. Establishing a high-quality pavement crack dataset ...
Abstract: 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.
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