Wildlife Datasets

Wildlife datasets are crucial for ecological research and conservation, aiming to improve automated species monitoring and identification through computer vision techniques. Current research focuses on developing and improving large-scale, diverse datasets, employing deep learning models like YOLOv8, vision transformers, and re-identification algorithms to analyze images from various sources, including camera traps and drones. These advancements enable more efficient and accurate wildlife monitoring, supporting conservation efforts by providing data-driven insights into species distribution, abundance, and behavior.