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cs.CV2025
Efficient Endangered Deer Species Monitoring with UAV Aerial Imagery and Deep Learning
AgustÃn Roca, Gabriel Torre, Juan I. Giribet +4
This paper examines the use of Unmanned Aerial Vehicles (UAVs) and deep learning for detecting endangered deer species in their natural habitats. As traditional identification proc…
cs.CV2025
Detection of Endangered Deer Species Using UAV Imagery: A Comparative Study Between Efficient Deep Learning Approaches
AgustÃn Roca, Gastón Castro, Gabriel Torre +4
This study compares the performance of state-of-the-art neural networks including variants of the YOLOv11 and RT-DETR models for detecting marsh deer in UAV imagery, in scenarios w…