Keywords: deep learning, crack detection, semi-supervisded, image segementation, infrastructure. Citation: Mohammed MA, Han Z, Li Y, Al-Huda Z, Li C and Wang W (2022) End-to-end semi-supervised deep ...

This project focuses on developing a deep learning model to detect cracks in concrete surfaces, specifically designed to assist site engineers in identifying structural issues early. The model is ...

The walls of metal surfaces may crack due to environmental changes and subpar surface materials, it is necessary for upkeep as well as exposure that is ongoing and will adversely impact the ecosystem.

In this paper, we adopt the U-Net model in deep learning for wall crack recognition and detection, which performs exceptionally well in this field. The U-Net model utilizes its unique ...

Digital Image Processing class project, Master's degree, UPE - POLI (2018.2). This project aims to detect and segment surface cracks in images using Digital Image Processing and deep learning ...

Henceforth the authors proposed a model later on with ‘slope surface’ crack detection from images using deep learning. The authors found that vision transformer model achieved 94% accuracy whereas the ...