Crack Detection ML case study image

Crack Detection ML


Framework: N/A

Language: Python

About this Project

This project was created for my Honours project at the end of my time at Caledonian University. The project focused on creating a neural network that could use image segmentation to detect cracks within concrete structures such as bridges and tunnels. The architecture of the NN is based on the U-Net architecture and used the CrackForest dataset, initial results were mediocre but with increased training time I was able to achieve a relatively high accuracy against my test dataset.