Pothole Computer Vision Project

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Pothole Dataset

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This is a collection of 665 images of roads with the potholes labeled. The dataset was created and shared by Atikur Rahman Chitholian as part of his undergraduate thesis and was originally shared on Kaggle.

Note: The original dataset did not contain a validation set; we have re-shuffled the images into a 70/20/10 train-valid-test split.


This dataset could be used for automatically finding and categorizing potholes in city streets so the worst ones can be fixed faster.

The dataset is provided in a wide variety of formats for various common machine learning models.

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.

Cite This Project

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

                            title = { Pothole Dataset },
                            type = { Open Source Dataset },
                            author = { Atikur Rahman Chitholian },
                            howpublished = { \url{ https://universe.roboflow.com/brad-dwyer/pothole-voxrl } },
                            url = { https://universe.roboflow.com/brad-dwyer/pothole-voxrl },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2020 },
                            month = { nov },
                            note = { visited on 2024-07-14 },

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Pothole project in your project.


Brad Dwyer

Last Updated

4 years ago

Project Type

Object Detection



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