A QGIS plugin for tree monitoring using AI.
GreenShield Mobile App
Semantic segmentation of drone imagery using U-Net deep learning architecture | TensorFlow/Keras implementation with automated preprocessing and multi-class pixel classification | Dron görüntülerinin U-Net ile semantik segmentasyonu
Final Year Project developed for my BSc (Hons) in Computing.
A modern desktop app for calculating areas from UAV-captured GeoTIFFs and shapefiles. Features support for alpha masking, automatic UTM projection, clean map overlays, and precise dimension reporting.
This repository provides a tutorial and code for reproducing the data and results presented in the following publication: Automated Mapping of Post-Storm Roof Damage Using Deep Learning and Aerial Imagery: A Case Study in the Caribbean (Kucharczyk, Nesbit, & Hugenholtz, 2025, Remote Sensing).
Drone-based livestock detection system using YOLOv8 for identifying and counting sheep in aerial imagery. Includes dataset details, training pipeline, model weights, and Colab notebook.
FieldSight AI is a full-stack platform for analyzing drone imagery to detect water pooling, generate field insights, and visualize results through interactive heatmaps.
High-resolution drone imagery dataset of rural landscapes in Central Europe, designed for AI/ML training, computer vision, and geospatial analysis.
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