Research on steel rail surface defects detection based on improved YOLOv4 network

IntroductionThe surface images of steel rails are extremely difficult to detect and recognize due to the presence of interference such as light changes and texture background clutter during the acquisition process.MethodsTo improve the accuracy of railway defects detection, a deep learning algorithm...

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Bibliographic Details
Main Authors: Zengzhen Mi, Ren Chen, Shanshan Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Neurorobotics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnbot.2023.1119896/full