UQ Racing

FSAE Cones

Object Detection

FSAE Cones 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{
                            fsae-cones_dataset,
                            title = { FSAE Cones Dataset },
                            type = { Open Source Dataset },
                            author = { UQ Racing },
                            howpublished = { \url{ https://universe.roboflow.com/uq-racing/fsae-cones } },
                            url = { https://universe.roboflow.com/uq-racing/fsae-cones },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jan },
                            note = { visited on 2024-04-29 },
                            }
                        

Connect Your Model With Program Logic

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

Source

UQ Racing

Last Updated

4 months ago

Project Type

Object Detection

Subject

traffic-cones

Views: 215

Views in previous 30 days: 0

Downloads: 16

Downloads in previous 30 days: 0

License

MIT

Classes

Eduard Lehan Tyler \ blue_cone cone dom jed large_orange_cone maddy small_orange_cone tynan yellow_cone