Track Fastener Defect Detection Model Based on Improved YOLOv5s

Track Fastener Defect Detection Model Based on Improved YOLOv5s

Defect detection of track fasteners is a prerequisite for safe and reliable railroad operation. The traditional manual visual inspection method has been unable to meet the growing demand for railroad network inspection in China. To achieve the need for accurate, fast, and intelligent detection of ra...

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Bibliographic Details
Main Authors: Xue Li, Quan Wang, Xinwen Yang, Kaiyun Wang, Hongbing Zhang
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Sensors
Subjects:
track
fastener
defect detection
YOLOv5s
attention mechanism
BiFPN
Online Access:https://www.mdpi.com/1424-8220/23/14/6457

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