Datasets › Railway Track Misalignment Detection Image Dataset
Railway Track Misalignment Detection Image Dataset (A Vision-based Solution for Track Misalignment Detection)
The dataset has railway track images of two types: normal and defective
The task is to classify a given image into normal or defective.
The defective images have misalignment problems: buckling or hogging
If you find this dataset useful in your research, please cite the below paper:
@INPROCEEDINGS{9643106,
author={Jerripothula, Koteswar Rao and Ansari, Sharik Ali and Nijhawan, Rahul},
booktitle={2021 34th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)},
title={A Vision-based Solution for Track Misalignment Detection},
year={2021},
pages={271-277},
keywords={Graphics;Annotations;Railway accidents;Transfer learning;Buildings;Feature extraction;Rail transportation;railway;transfer learning;VGG;Inception;buckling;hogging;misalignment},
doi={10.1109/SIBGRAPI54419.2021.00044}
}
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Railway Track Image Classification | Railway Track Misalignment Detection Image Dataset | VGG16 Classification Accuracy 0.982 | — | — | 4 | Compare |
Papers archive 2025-07-28
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Tasks archive 2025-07-28
License archive 2025-07-28
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Modalities archive 2025-07-28
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Variants archive 2025-07-28
- Railway Track Misalignment Detection Image Dataset
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