road sign Object Detection Dataset and Pre-Trained Model by cvexperiments

Images

543 images

Explore Dataset

Here are a few use cases for this project:

Autonomous Vehicle Navigation: The "road sign" model can be programmed into self-driving cars to recognize and understand different road signs, helping in making informed decisions while on the road, increasing their safety and efficiency.
Augmenting GPS Navigation: GPS applications can use this model to provide advanced warnings to drivers about upcoming road signs, helping them prepare for and adapt to changes in the road condition or speed limit.
Traffic Management Systems: The model can be used in traffic management systems to analyze and monitor real-time traffic signs, assisting in efficient traffic control and incident management.
Driving Training Simulators: The model can be used in driving training simulators to teach new drivers about different road signs and their meanings, thus improving training effectiveness.
Infrastructure Maintenance: Municipalities and city councils can utilize the model to recognize and monitor road sign statuses in their cities, providing automated reports on damaged or obscured signs, contributing to efficient maintenance and safety.

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{
                            road-sign-77ht0_dataset,
                            title = { road sign Dataset },
                            type = { Open Source Dataset },
                            author = { cvexperiments },
                            howpublished = { \url{ https://universe.roboflow.com/cvexperiments/road-sign-77ht0 } },
                            url = { https://universe.roboflow.com/cvexperiments/road-sign-77ht0 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jul },
                            note = { visited on 2024-06-25 },
                            }