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

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

Determining the degree of damage that is done to buildings post an earthquake using Machine Learning.The damage to a building is categorized in five grades. Each grade depicts the extent of damage done to a building post an earthquake.

This repository focuses on the automation of blade inspection, using different Computer Vision (CV) approaches and methods to detect damage on the wind turbine blades.

AI Assisted Infrastructure Inspection using Mixed Reality

It will detect the damage done to the car and classify into MINOR, MODERATE and SEVERE

ADELE is a dataset of vibration in a beam that exhibits nonlinear behavior even in the healthy condition, and it is exposed to a type of damage that causes the structure to display a nonlinear behavior with a different nature than the initial one. This experiment was conducted by the SHM lab at the University of California San Diego with collabo…

UIUC CEE498: Data Science Project 9 - Structural Health Monitoring

An android application to detect car damage from images

Using deep learning techniques like 1D and 2D CNNs, LSTM to detect damage in a structure with hinges/joints after an earthquake.

Our machine learning model and application to classify damage severity

Damage mapping with deep learning on satellite data

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

Wind turbine blade diagnosis

Variational Autoencoders for Out-of-Distribution Detection

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

Interactive Defect Quantification through Extended Reality

HierMUD: a Hierarchical Multi-task Unsupervised Domain adaptation framework