Damage mapping with deep learning on satellite data
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Updated
Jul 30, 2021 - Python
Damage mapping with deep learning on satellite data
SimpleNet: A Simple Network for Image Anomaly Detection and Localization
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.
A website that compares multiple deep learning models for crack segmentation in images. Features include result sorting, image carousels, and downloadable predictions.
Repository containing multiple EOV Mitigation Procedures 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.
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
Python scripts that flies a drone in AirSim environment and generates data.
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