Free and open source software for geospatial data storage.

Inspection of Power Line Assets Dataset (InsPLAD)

STN PLAD: A Dataset for Multi-Size Power Line Assets Detection in High-Resolution UAV Images

UAV images dataset for moving object detection

MPID : an open-source insulator dataset for UAV inspection of power lines through computer vision

Deep Learning-based Early Weed Segmentation using Motion Blurred UAV Images of Sorghum Fields

Metashape step-by-step tutorial for creating point clouds, orthomosaic, DEM and meshed model from arial images

This repository shows how to train a CNN model for detecting vehicles and other objects on streets

Collection of scripts for preparation of datasets for semantic segmentation of UAV images

Real Time Drone Detection with YOLOv3, YOLOv3-tiny, YOLOv4, YOLOv4-tiny, YOLOv5x, YOLOv5s, YOLOv6-L, YOLOv6-S, YOLOv7-X, YOLOv7, YOLOv8l and YOLOv8s

Batch conversion of thermal TIFF files (from SenseFly ThermoMap, FLIR Vue Pro R, DJI Zenmuse, etc.) to PNG files, with normalisation options.

This repository contains the code to reproduce the article (https://doi.org/10.1007/s11119-024-10133-0). The presented method allows to extract oblique and nadir viewing angles from UAV-mounted, multispectral snapshot cameras.

Repository for my Master's Thesis Project: "Contextual Saliency for Detecting Anomalies within Unmanned Aerial Vehicle (UAV) Video"

Real-Time Detection of Drones with YOLOv3 Deep Learning Algorithm

Involves careful consideration of factors such as the selection of the appropriate UAV, the type of thermographic camera, and the flight planning and data acquisition techniques.

MUAAD: Manipal Anomaly Activity Detection Dataset, A dataset for multi-scene anomaly activity detection

Real-Time Detection of Drones with YOLOv3 Deep Learning Algorithm

Image segmentation and point classification using UAV survey images of a California volcano

A pile detection system based on UAV images.

APF-YOLOV8: Enhancing Multiscale Detection and Intra-Class Variance Handling for UAV-Based Insulator Power Line Inspections

Semantic segmentation of UAV imagery using KMeans clustering

Python code for detecting and learning new classes of threats present in crops

I'm currently developing Hermes AI, a modular deep learning framework for post-disaster flood, damage, and debris segmentation — leveraging datasets like FloodNet, RescueNet, and SpaceNet-8. My focus is on blending satellite imagery, drone footage, and multi-head segmentation models to support FEMA critical infrastructure recovery operations.

uav-image-segmentation for hurrican-hurvey-flood-damage by unet

🛰️ Automate flood damage mapping and infrastructure assessment using AI-driven models for effective disaster response and recovery operations.