US Road Signs Object Detection Dataset and Pre-Trained Model by US Road Signs Projects

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Explore Dataset

Here are a few use cases for this project:

Automatic Driving Assistance: This model could be implemented in cars to assist with automatic driving features. The system would detect and decipher road signs to guide decisions such as stopping, altering speed, or obeying specified restrictions.
Road Maintenance Monitoring: Government or local authorities can use this model to automatically survey road signs, identify those that are worn out, damaged, blocked, or missing, helping to prioritize maintenance tasks.
Interactive Maps and Navigation Apps: This model could be used to update and enhance detailing on interactive maps such as Google Street View or GPS navigation apps by detecting and labeling road signs.
Road Safety Education: The model could be integrated into driving training and testing applications to educate new drivers about different road signs and what they represent in a controlled and repeatable digital environment.
Traffic Flow Analysis: The model can be used in conjunction with CCTV or drone footage to monitor and analyze traffic compliance with specific road signs, contributing to traffic management and city planning strategies.

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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

YOLOv5

This project has a YOLOv5 model checkpoint available for inference with Roboflow Deploy. YOLOv5 is a proven and tested, production ready, state-of-the-art real-time object detection model.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            us-road-signs_dataset,
                            title = { US Road Signs Dataset },
                            type = { Open Source Dataset },
                            author = { US Road Signs Projects },
                            howpublished = { \url{ https://universe.roboflow.com/us-road-signs-projects/us-road-signs } },
                            url = { https://universe.roboflow.com/us-road-signs-projects/us-road-signs },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { feb },
                            note = { visited on 2024-04-25 },
                            }