Pothole Computer Vision Project
Updated 9 days ago
Metrics
Pothole Dataset
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.
Usage
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.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
pothole-mrf1w-xpake-vm5sl_dataset,
title = { Pothole Dataset },
type = { Open Source Dataset },
author = { Atikur Rahman Chitholian },
howpublished = { \url{ https://universe.roboflow.com/djchoe/pothole-mrf1w-xpake-vm5sl } },
url = { https://universe.roboflow.com/djchoe/pothole-mrf1w-xpake-vm5sl },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { nov },
note = { visited on 2024-11-21 },
}