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Anais do XVII Workshop de Visão Computacional (WVC 2021)
Cracks on the concrete surface are symptoms and precursors of structural degradation and hence must be identified and remedied. However, locating cracks is a time-consuming task that requires specialized professionals and special equipment. The use of neural networks for automatic crack detection emerges to assist in this task. This work proposes one U-Net based neural network to perform crack segmentation, trained with the Crack500 and DeepCrack datasets, separately. The U-Net used has sevendoi:10.5753/wvc.2021.18893 fatcat:u7dgdikpjzhh5l4k75xgskh74e