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 ...

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 ...

Crack formation is one of the first indicators of degradation of the concrete structure. Therefore, they must be detected early to take the necessary precautions to avoid further degradation. The ...

[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 ...

This is a Surface Crack Detection project implemented with the Tensorflow. We fine tuning some deep learning models (like VGG 19, VGG16, MobileNetV2, ...). Use Surface Crack Detection dataset ...

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.

This study employs a YOLOv8 Dynamic Plus deep learning model to detect surface diseases in concrete bridges. By analyzing image data from drones, the model improves accuracy in identifying defects ...