A website that compares multiple deep learning models for crack segmentation in images. Features include result sorting, image carousels, and downloadable predictions.

Our machine learning model and application to classify damage severity

An android application to detect car damage from images

Program for transmitting information about damage given to enemy in the CS:GO game.

UIUC CEE498: Data Science Project 9 - Structural Health Monitoring

Repository containing multiple EOV Mitigation Procedures for Structural Health Monitoring.

Toolkit for xView2 Challenge: Assessing Building Damage caused by Natural Disasters

Domain Knowledge based data augementation for Structural Health Monitoring

This repository contains Python scripts used to obtain results from the paper "A Latent Variable Approach for Mitigation of Environmental and Operational Variability in Vibration-Based SHM – A Linear Approach," presented at the EWSHM2024.

Python scripts that flies a drone in AirSim environment and generates data.

Post-Disaster Damage Assessment

Wind turbine blade diagnosis

End-to-end solution for container and damage detection using Faster R-CNN | Leverages PyTorch with VGG16 and ResNet50 backbones to tackle container detection and damage assessment in shipping and logistics

We're trying to make a full-featured automatic vehicle damage detection system.

Non-parametric Vibration-based Structural Damage Detection for Coastal Structures: Multi-Dimension to Single Input Convolutional Neural Network Approach

Variational Autoencoders for Out-of-Distribution Detection

Machine Learning, Deep Learning, Computer Vision algorithms to segment/detect objects and damages to structures

Deep learning based vehicle damage detection solution. This repository is linked to the web application which is integrated with the mentioned system.