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.