Railway track surface faults dataset
Author:
Funder
Mehran University of Engineering and Technology
Higher Education Commission, Pakistan
Publisher
Elsevier BV
Subject
Multidisciplinary
Reference5 articles.
1. RTLSeg: a novel multi-component inspection network for railway track line based on instance segmentation;Wei;Eng. Appl. Artif. Intell.,2023
2. State-of-the-Art wayside condition monitoring systems for railway wheels: a comprehensive review;Shaikh;IEEE Access,2023
3. Rail surface faults identification from low quality image data using machine learning algorithms;Arain;Gyancity J. Electron. Comput. Sci.,2021
4. MSRConvNet: classification of railway track defects using multi-scale residual convolutional neural network;Acikgoz;Eng. Appl. Artif. Intell.,2023
5. An optimized railway fastener detection method based on modified Faster R-CNN;Bai;Measurement,2021
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