Single-Species Leaf Detection against Complex Backgrounds with YOLOv5s

Accurate and rapid localization and identification of tree leaves are of significant importance for urban forest planning and environmental protection. Existing object detection neural networks are complex and often large, which hinders their deployment on mobile devices and compromises their effici...

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Veröffentlicht in:	Forests 2024-06, Vol.15 (6), p.894
Hauptverfasser:	Wang, Ziyi, Su, Xiyou, Mao, Shiwei
Format:	Artikel
Sprache:	eng
Schlagworte:	Boxes data collection Datasets Environmental protection Feature maps Flowers & plants Forestry Forests Frames per second information exchange Information processing Information transfer Learning Leaves Localization Mobile devices Modules natural resources conservation Neural networks Object recognition Protection and preservation rapid methods Species texture Transfer learning Trees Urban areas urban forestry Urban forests
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