Integration of YOLOv8 Small and MobileNet V3 Large for Efficient Bird Detection and Classification on Mobile Devices

Background: Bird species identification and classification are crucial for biodiversity research, conservation initiatives, and ecological monitoring. However, conventional identification techniques used by biologists are time-consuming and susceptible to human error. The integration of deep learnin...

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Egile Nagusiak:	Axel Frederick Félix-Jiménez, Vania Stephany Sánchez-Lee, Héctor Alejandro Acuña-Cid, Isaul Ibarra-Belmonte, Efraín Arredondo-Morales, Eduardo Ahumada-Tello
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2025-03-01
Saila:	AI
Gaiak:	YOLOv8 Small MobileNet V3 TensorFlowLite bird classification automated sampling mobile app
Sarrera elektronikoa:	https://www.mdpi.com/2673-2688/6/3/57
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