Traffic Sign of Speed Limitation Object Detection Dataset and Pre-Trained Model by Computer Engineering Project

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Explore Dataset

Here are a few use cases for this project:

Speed Detection Systems: The model can be integrated into traffic surveillance systems to help authorities detect vehicles that are exceeding the legal speed limits specific to their location.
Autonomous Vehicle Navigation: This model can be useful in the domain of self-driving cars, where it can help in perceiving and understanding the speed limit assigned on different roads to ensure safety.
Smart Traffic Applications: It could be incorporated into GPS or navigation systems to alert drivers of current speed limits, potentially reducing over-speeding and traffic violations.
Traffic Management Research: Researchers in transportation and traffic management can use this model to understand driving behaviors and patterns more effectively, contributing to the development of safer road systems.
Driver's Assistance System: This model can be used to develop advanced driver-assistance systems (ADAS) that could warn or notify the driver when they exceed the allowed speed limit.

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-sign-of-speed-limitation_dataset,
                            title = { Traffic Sign of Speed Limitation Dataset },
                            type = { Open Source Dataset },
                            author = { Computer Engineering Project },
                            howpublished = { \url{ https://universe.roboflow.com/computer-engineering-project/traffic-sign-of-speed-limitation } },
                            url = { https://universe.roboflow.com/computer-engineering-project/traffic-sign-of-speed-limitation },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { oct },
                            note = { visited on 2024-05-22 },
                            }