Smoking behavior detection algorithm based on YOLOv8-MNC
Zhong Wang,
Lanfang Lei,
Peibei Shi
Abstract:IntroductionThe detection of smoking behavior is an emerging field faced with challenges in identifying small, frequently occluded objects like cigarette butts using existing deep learning technologies. Such challenges have led to unsatisfactory detection accuracy and poor model robustness.MethodsTo overcome these issues, this paper introduces a novel smoking detection algorithm, YOLOv8-MNC, which builds on the YOLOv8 network and includes a specialized layer for small target detection. The YOLOv8-MNC algorithm… Show more
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