Pothole Computer Vision Dataset
About Pothole Dataset
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 Free Pothole Detection API
Powered by general detection model
pip install inference-sdk# 1. Import the library
from inference_sdk import InferenceHTTPClient
# 2. Connect to your workspace
client = InferenceHTTPClient(
api_url="https://serverless.roboflow.com",
api_key="API_KEY"
)
# 3. Run your workflow on an image
result = client.run_workflow(
workspace_name="<YOUR_WORKSPACE>",
workflow_id="<YOUR_WORKFLOW_ID>",
images={
"image": "YOUR_IMAGE.jpg" # Path to your image file
},
parameters={
"classes": "pothole"
},
use_cache=True # cache workflow definition for 15 minutes
)
# 4. Get your results
print(result)Run on custom image
Drop an image here or click to upload
Tell the agent what you want to build.
Cite This Project
LicenseODbL v1.0If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ pothole-kvso8_dataset,
title = { Pothole Dataset },
type = { Open Source Dataset },
author = { Atikur Rahman Chitholian },
howpublished = { \url{ https://universe.roboflow.com/pothole-skc/pothole-kvso8 } },
url = { https://universe.roboflow.com/pothole-skc/pothole-kvso8 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { dec },
note = { visited on 2026-07-29 },
}