Traffic-Signs2 Object Detection Dataset and Pre-Trained Model by Mohamed Wael

Images

3635 images

Explore Dataset

Here are a few use cases for this project:

Smart Navigation Systems: Integrate Traffic-Signs2 into vehicle navigation systems to provide real-time updates on speed limits, road warnings, and parking regulations. This will help drivers comply with traffic rules and promote safer driving.
Road Maintenance and Traffic Infrastructure Planning: Government agencies and urban planners can use Traffic-Signs2 to analyze the current state of traffic signs and identify any damaged or missing signage. This will aid in prioritizing maintenance tasks and improving overall traffic management.
Traffic Law Enforcement: Traffic-Signs2 can be integrated into traffic surveillance systems to help law enforcement more efficiently monitor driver compliance with traffic rules, such as speed limits, parking restrictions, and avoiding restricted zones.
Driver Assistance Systems: Incorporate Traffic-Signs2 into advanced driver assistance systems (ADAS) to enable features such as adaptive cruise control, speed limit reminders, and lane change warnings, based on detected traffic signs. This will enhance driver awareness and promote safer driving behaviors.
Autonomous Vehicles: Equip self-driving cars with Traffic-Signs2 to help them accurately interpret traffic signs and make appropriate decisions during navigation to maintain traffic laws and ensure the safety of passengers, pedestrians, 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-signs2-0ygwy_dataset,
                            title = { Traffic-Signs2 Dataset },
                            type = { Open Source Dataset },
                            author = { Mohamed Wael },
                            howpublished = { \url{ https://universe.roboflow.com/mohamed-wael-oj4cq/traffic-signs2-0ygwy } },
                            url = { https://universe.roboflow.com/mohamed-wael-oj4cq/traffic-signs2-0ygwy },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-05-04 },
                            }