Will artificial intelligence revolutionize aerial surveys? A first large-scale semi-automated survey of African wildlife using oblique imagery and deep learning

Integrating remote sensing and deep learning into aerial survey of large African mammals

Software underlying PhD thesis: AI in the Sky - Advancing Wildlife Survey Methods in Africa with Deep Learning and Aerial Imagery.

ZyPro is a deep learning framework designed to support the PhD research project “AI in the Sky:

Data underlying PhD thesis: AI in the Sky - Advancing Wildlife Survey Methods in Africa with Deep Learning and Aerial Imagery

This dataset supports the PhD research titled “AI in the Sky: Advancing Wildlife Survey Methods

Automated rhinoceros detection in satellite imagery using deep learning

Rhinoceroses face severe threats from poaching, habitat fragmentation, and ongoing habitat degradati

Automated Rhinoceros Detection in Satellite Imagery using Deep Learning Dataset

This repository contains a dataset of satellite images for white rhino (Ceratotherium simum simum) d

Livestock Detection and Counting in Kenyan Rangelands Using Aerial Imagery and Deep Learning Techniques

Accurate livestock counts are essential for effective pastureland management. High spatial resolutio