Pothole Detection Object Detection Dataset and Pre-Trained Model by UMKC

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Here are a few use cases for this project:

Road Maintenance and Repair: City governments and road management authorities can use the Pothole Detection model to prioritize and plan road repair and maintenance activities. By automatically identifying potholes and their locations, work crews can be dispatched more efficiently, reducing overall costs and improving road safety.
Accident Prediction and Prevention: Insurance companies and traffic safety organizations can use the Pothole Detection model to analyze the relationship between road conditions (such as the presence of potholes) and accidents. This data can help to identify accident-prone areas, allowing for targeted mitigation efforts and the implementation of safety measures.
Autonomous Vehicle Navigation: Autonomous vehicle systems can incorporate the Pothole Detection model in their navigation algorithms to ensure safe driving. By detecting and avoiding potholes, autonomous vehicles can minimize wear and tear, prevent costly breakdowns, and ensure passenger safety.
Road Quality Assessment and Monitoring: Civil engineering and urban planning departments can use the Pothole Detection model to assess and monitor the overall quality of road infrastructure. By analyzing the prevalence and distribution of potholes, officials can prioritize investments in infrastructure development, ensuring better road conditions and enhanced transportation networks in the long run.
Mobile Application for Road Users: A smartphone app can be developed using the Pothole Detection model, allowing drivers and cyclists to report potholes to local road authorities. Users can upload images or use the app's built-in camera functionality to identify potholes, which can then be shared with relevant agencies. This crowd-sourced information can speed up the response time for repairs and improve overall road conditions for all users.

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:

@misc{
                            pothole-detection-bt5rs_dataset,
                            title = { Pothole Detection Dataset },
                            type = { Open Source Dataset },
                            author = { UMKC },
                            howpublished = { \url{ https://universe.roboflow.com/umkc-rxgcx/pothole-detection-bt5rs } },
                            url = { https://universe.roboflow.com/umkc-rxgcx/pothole-detection-bt5rs },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-06-21 },
                            }