Traffic Red Light Violation Object Detection Dataset and Pre-Trained Model by Uninova

Images

2912 images

Explore Dataset

Here are a few use cases for this project:

Traffic Management Systems: Integration of the "Traffic Red Light Violation" model into existing traffic management systems can help authorities to streamline traffic flow, identify frequent rule violators, and enhance overall traffic safety.
Real-time Violation Notification: The model can be employed in real-time monitoring solutions providing immediate notifications to law enforcement when a vehicle violates a red light, offering the possibility of quick response and management.
City Planning: Urban planners and authorities can utilize the model to pinpoint problematic intersections and timings. Data gathered can be used to optimize traffic light timing, detect congestion patterns, and improve overall city traffic plans.
Insurance Industry: The model can be applied for claims processing and liability determination in accidents. It would give insurance companies a tool to corroborate drivers' reports of incidents, potentially making the claims process more efficient and accurate.
Fleet Management Systems: In a fleet management context, the model could be used to monitor driver behavior, ensuring adherence to traffic rules, and contributing to the safety of the company's fleet, its drivers, and other road 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{
                            traffic-red-light-violation-izf63_dataset,
                            title = { Traffic Red Light Violation Dataset },
                            type = { Open Source Dataset },
                            author = { Uninova },
                            howpublished = { \url{ https://universe.roboflow.com/uninova/traffic-red-light-violation-izf63 } },
                            url = { https://universe.roboflow.com/uninova/traffic-red-light-violation-izf63 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-04-24 },
                            }