Building cracks such as gaping cracks, separation, and horizontal cracks are a few types of cracks that possess a severe issue on reinforced concrete; hence, the earlier the detection the cheaper the ...

Image processing tasks have benefited from deep learning models based on convolutional neural networks. However, ... This paper investigates adaptation of multi-source datasets as an augmentation ...

Welcome to the Crack Detection Project repository! This project demonstrates a complete pipeline for crack detection in concrete structures using deep learning. The repository is organized into ...

[3] Autonomous concrete crack detection using deep fully convolutional neural network. Automation in Construction (2019). [4] Advances in Computer Vision-Based Civil Infrastructure Inspection and ...

Researchers developed a three-step computer vision framework using YOLOv8 and image processing techniques for efficient concrete crack detection and measurement. The method demonstrated high ...

When structures made of concrete like bridges, buildings, and tunnels are loaded repeatedly over long periods, they develop cracks that may progress and cause structural failure.

Liu Y, Yao J, Lu X, et al. Deepcrack: a deep hierarchical feature learning architecture for crack segmentation. Neurocomputing 2019; 338: 139–153. [3] Ren Y, Huang J, Hong Z, et al. Image-based ...