Speed_breakers&Pothole Object Detection Dataset and Pre-Trained Model by Akash Kumbar

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Explore Dataset

Here are a few use cases for this project:

Road Maintenance and Repair: Municipalities and road construction agencies can use the "Speed_breakers&Pothole" model to efficiently monitor and identify potholes and speed breakers on roads, helping them prioritize maintenance tasks and improve overall road quality in a timely manner.
Accident Prevention: The model can be integrated with traffic monitoring systems or traffic apps to provide real-time information on pothole and speed breaker locations, allowing drivers to take precautionary measures, thus reducing the risk of accidents.
Driver Assistance Systems: Integrating the "Speed_breakers&Pothole" model into Advanced Driver Assistance Systems (ADAS) can improve driver safety by providing alerts or recommendations when approaching potholes or speed breakers, helping drivers avoid damage to their vehicles and enhancing overall driving experience.
Data Analysis for Urban Planning: City planners and urban developers can use the output of the "Speed_breakers&Pothole" model to analyze the distribution and frequency of potholes and speed breakers in different neighborhoods or districts. This data can be used to optimize planning and development efforts and inform future infrastructure improvements.
Road Safety Research: Researchers can use the "Speed_breakers&Pothole" dataset to study the effects of road conditions on vehicle performance and safety, helping to develop better road construction materials and techniques, or propose new strategies for road hazard prevention and mitigation.

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{
                            speed_breakers-pothole_dataset,
                            title = { Speed_breakers&Pothole Dataset },
                            type = { Open Source Dataset },
                            author = { Akash Kumbar },
                            howpublished = { \url{ https://universe.roboflow.com/akash-kumbar/speed_breakers-pothole } },
                            url = { https://universe.roboflow.com/akash-kumbar/speed_breakers-pothole },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-06-20 },
                            }