YOLOv7 Applied to Livestock Image Detection and Segmentation Tasks in Cattle Grazing Behavior, Monitor and Intrusions

Autor:	O. M. Moradeyo, A. S. Olaniyan, A. O. Ojoawo, J. A. Olawale, R. W. Bello
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	You only look once Cattle Image segmentation Livestock YOLOv7 Science
Zdroj:	Journal of Applied Sciences and Environmental Management, Vol 27, Iss 5 (2023)
Druh dokumentu:	article
ISSN:	2659-1502 2659-1499
DOI:	10.4314/jasem.v27i5.10
Popis:	You only look once (YOLO) is a state-of-the-art, real-time object detection system. YOLO version 7 (YOLOv7) model is a variant of YOLO. The objective of this paper is to apply YOLOv7 to livestock image detection and segmentation tasks in cattle grazing behavior, monitor and intrusions. Data obtained revealed that YOLOv7 performs better in terms of speed and accuracy with a mAP of 0.95 than the baseline techniques.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/753e7dd63d7b4d91a0c0d8a90011fbd0 Zobrazit plný text záznamu View record in DOAJ