DEEP LEARNING FOR AERIAL WILDLIFE MONITORING

HerdNet is an open-source deep learning framework developed for the precise detection, identification and counting of African mammals in aerial imagery. Designed to assist researchers and conservationists, it leverages convolutional neural networks to analyze high-resolution aerial photographs, facilitating wildlife monitoring and ecological studies.

COHERENCE TRACKING FOR SAR

CohTrack is a freeware plugin developed for the Sentinel Application Platform (SNAP), designed to enhance Synthetic Aperture Radar (SAR) image analysis through coherence tracking techniques.

COLLABORATIVE BIOMEDICAL IMAGE ANALYSIS

Cytomine is an open-source web platform designed for the collaborative analysis of large-scale biomedical images. It facilitates seamless sharing, annotation, and processing of multi-gigapixel images, making it a valuable tool for researchers, educators, and clinicians.