Railway Track Misalignment Detection Image Dataset
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} }