trafficlight Object Detection Dataset and Pre-Trained Model by CV

Images

2178 images

Explore Dataset

Here are a few use cases for this project:

Autonomous Driving: The "trafficlight" model can be particularly useful in autonomous driving systems, helping the vehicle understand road signs and make safe decisions based on real-time traffic conditions.
Navigation Apps: This computer vision model could be integrated within navigation applications to provide a real-time assistance to drivers, ensuring they are aware of speed limits, turn restrictions, parking availability, and road humps.
Traffic Management: The model can aid in proactive traffic management and planning. By understanding road signs, it could predict potential traffic issues and guide resolution, such as changes in speed limits or no parking signs.
Driver’s Education: This could be used as a tool in driver’s education systems, testing students' understanding of various traffic signs, or simulating specific driving conditions to enhance their learning experience.
Augmented Reality Games: In gaming, particularly AR-powered games that involve driving or navigating through real-world roads, the "trafficlight" model can be used to incorporate actual traffic rules within the gaming environment, thereby enhancing the realism.

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{
                            trafficlight-7vaxi_dataset,
                            title = { trafficlight Dataset },
                            type = { Open Source Dataset },
                            author = { CV },
                            howpublished = { \url{ https://universe.roboflow.com/cv-qykcv/trafficlight-7vaxi } },
                            url = { https://universe.roboflow.com/cv-qykcv/trafficlight-7vaxi },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-06-18 },
                            }