A general defect detection model for power scenarios using the improved YOLOv8

The current centralized defect detection system faces challenges such as large data volume and poor real-time performance， underscoring the pressing need for distributed detection systems， with edge computing as a representative. In response， diverse module algorithms are devised based on the single...

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Hlavní autoři:	HAN Rui, DAI Zheren, JIANG Peng, LI Chen, JIANG Xiongwei
Médium:	Artigo
Jazyk:	Chinês
Vydáno:	zhejiang electric power 2024-04-01
Edice:	Zhejiang dianli
Témata:	deep learning defect detection data augmentation nms yolov8
On-line přístup:	https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=be31fdb6-0917-42e7-a902-f6d355077d92
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