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Ishan Dhaneshwar

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Conference Aug 2026

Comparative Study of Classification and Detection-Based Approaches for Railway Track Fault Identification Using Deep Learning

Railway track inspection is still commonly carried out through manual checking, which takes considerable time and can be affected by human error. This work compares two deep-learning approaches for identifying faults in railway-track images: image classification and object detection. A ResNet18 model is used first to c...

Yuvraj Shailesh Pawar, Deven Sharad Kshirsagar, Ishan Dhaneshwar et al. · 0 citations

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