ArticleScientific data2025
FaultSeg: A Dataset for Train Wheel Defect Detection.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The trial behind it
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Who cites it
5 citing papers in PubMed.
- RFDD: A High-Quality Dataset based on Metrology for Fastener Defect Detection in High-Speed Railways.Scientific data · 2026Article
- A Multimodal Railway Vibration and Vision Dataset (Rail-VIVID).Scientific data · 2026Article
- A contribution to reliable rail transport: AI-powered real-time wheel defect detection.Scientific reports · 2025Article
- ZoomHead: A Flexible and Lightweight Detection Head Structure Design for Slender Cracks.Sensors (Basel, Switzerland) · 2025Article
- FaultSeg: A Dataset for Train Wheel Defect Detection.Scientific data · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Wheels are a critical component of railway infrastructure and work as the load carrier of the train. However, defective wheels pose a serious risk to safety that can gravely jeopardize people's safety. There is a significant risk of injury or death from defective wheels, endangering the lives of individuals. In this research, FaultSeg dataset is presented for automatic train wheel defect detection for railway transportation around the world. The FaultSeg consists of 829 manually annotated images of faulty wheels acquired by an indigenously developed wayside data acquisition system. Expert Annotators have manually annotated three classes of potential defects: Cracks/Scratches, Shelling, and Discoloration. To assess the practicality of the FaultSeg dataset for training and testing advanced deep learning (DL) models, the dataset was used to train and evaluate the YOLOv9 instance segmentation algorithm. The model achieves an approximate score of 87% accuracy. These results showcase the usability of the FaultSeg dataset in automatic inspection systems and data driven predictive maintenance strategies to safeguard and ensure the safety of railway transportation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.