Object detection in smart indoor shopping using an enhanced YOLOv8n algorithm

Abstract This paper introduces an enhanced object detection algorithm tailored for indoor shopping applications, a critical component of smart cities and smart shopping ecosystems. The proposed method builds on the YOLOv8n algorithm by integrating a ParNetAttention module into the backbone's C2f mod...

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Detalhes bibliográficos

Principais autores:	Yawen Zhao, Defu Yang, Sheng Cao, Bingyu Cai, Maryamah Maryamah, Mahmud Iwan Solihin
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wiley 2024-12-01
coleção:	IET Image Processing
Assuntos:	computer vision image recognition learning (artificial intelligence) object detection supervised learning
Acesso em linha:	https://doi.org/10.1049/ipr2.13284
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