Addressing significant challenges for animal detection in camera trap images: a novel deep learning-based approach

Abstract Wildlife biologists increasingly use camera traps for monitoring animal populations. However, manually sifting through the collected images is expensive and time-consuming. Current deep learning studies for camera trap images do not adequately tackle real-world challenges such as imbalances...

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Bibliografische Detailangaben

Hauptverfasser:	Margarita Mulero-Pázmány, Sandro Hurtado, Cristóbal Barba-González, María Luisa Antequera-Gómez, Francisco Díaz-Ruiz, Raimundo Real, Ismael Navas-Delgado, José F. Aldana-Montes
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Nature Portfolio 2025-05-01
Schriftenreihe:	Scientific Reports
Schlagworte:	Camera traps Deep learning Animal identification YOLO
Online-Zugang:	https://doi.org/10.1038/s41598-025-90249-z
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