Faster and accurate green pepper detection using NSGA-II-based pruned YOLOv5l in the field environment

Yulong Nan,Huichun Zhang,Yong Zeng,Jiaqiang Zheng,Yufeng Ge

Computers and Electronics in Agriculture（2023）

引用 6|浏览3

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摘要

•The NSGA-II-based pruning algorithm was proposed to obtain the optimal pruning strategy.•The NSGA-II-based pruned YOLOv5l green pepper detection model was obtained.•The mAP0.5 was 81.4 %, the model size was 23.9 MB, and the frame rate is 70.9f/s.•The model was a current state-of-the-art (SOTA) lightweight green pepper detection model.

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关键词

Green pepper,NSGA-II-based pruning algorithm,YOLOv5l,Field environment,Detection

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