TraficSigns Computer Vision Project

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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{
                            traficsigns-y7trc_dataset,
                            title = { TraficSigns Dataset },
                            type = { Open Source Dataset },
                            author = { Sridhar },
                            howpublished = { \url{ https://universe.roboflow.com/sridhar-8y50c/traficsigns-y7trc } },
                            url = { https://universe.roboflow.com/sridhar-8y50c/traficsigns-y7trc },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jul },
                            note = { visited on 2024-07-05 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the TraficSigns project in your project.

Source

Sridhar

Last Updated

2 days ago

Project Type

Object Detection

Subject

TraficSigns

Views: 23

Views in previous 30 days: 23

Downloads: 5

Downloads in previous 30 days: 5

License

CC BY 4.0

Classes

Ahead only Directions Give way No Entry No Right Turn No turning for Lorries Pass either side Pedestrain Cross Ahead Roundabout Roundabout Ahead Spped Hump Spped Limit 40 km-h Spped Limit 60 km-h Stop Trafic Sign Trafic Signal Ahead Turn Left Turn right Two-way Trafic U-Turn You Must go this Way You must giv eway to pedestrians