Integration of ShuffleNet V2 and YOLOv5s Networks for a Lightweight Object Detection Model of Electric Bikes within Elevators

Integration of ShuffleNet V2 and YOLOv5s Networks for a Lightweight Object Detection Model of Electric Bikes within Elevators

The entry of electric bikes into elevators poses safety risks. This article proposes a lightweight object detection model for edge deployment in elevator environments specifically designed for electric bikes. Based on the YOLOv5s network, the backbone network replaces the original CSPDarknet53 with...

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Bibliographic Details
Main Authors:	Jingfang Su, Minrui Yang, Xinliang Tang
Format:	Article
Language:	English
Published:	MDPI AG 2024-01-01
Series:	Electronics
Subjects:	electric bike lightweight YOLOv5s ShuffleNet V2 Swin Transformer
Online Access:	https://www.mdpi.com/2079-9292/13/2/394

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