Thesis Group

Railway Crack Detection

Object Detection

Roboflow Universe Thesis Group Railway Crack Detection

Railway Crack Detection Computer Vision Project

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INTRODUCTION Railway transportation has been a vital mode of transport for many years, primarily chosen for its cost-effectiveness and safety.

METHODOLOGY To develop a real time multi-scaled detection model over railway tracks using YOLOv8

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.


This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite this Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ railway-crack-detection_dataset,
    title = { Railway Crack Detection Dataset },
    type = { Open Source Dataset },
    author = { Thesis Group },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { nov },
    note = { visited on 2023-12-11 },

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Thesis Group

Last Updated

12 days ago

Project Type

Object Detection



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