Lightweight fruit detection algorithms for low‐power computing devices
Olarewaju Mubashiru Lawal,
Huamin Zhao,
Shengyan Zhu
et al.
Abstract:A lightweight fruit detection algorithm is important to ensure real‐time detection on low‐power computing devices while maintaining detection accuracy. In addition, the fruit detection algorithm is also faced with some environmental factors. To solve these challenges, lightweight detection algorithms termed YOLO‐Lite, YOLO‐Liter and YOLO‐Litest were developed based on the YOLOv5 framework. The compared mean average precision (mAP) detection revealed that YOLO‐Lite at 0.86 is 2%, 4%, 5%, 7%, and 16% more than Y… Show more
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