TTest

Player-Stick

Object Detection

Player-Stick 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{
                            player-stick_dataset,
                            title = { Player-Stick Dataset },
                            type = { Open Source Dataset },
                            author = { TTest },
                            howpublished = { \url{ https://universe.roboflow.com/ttest-ezbls/player-stick } },
                            url = { https://universe.roboflow.com/ttest-ezbls/player-stick },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-04-29 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Player-Stick project in your project.

Source

TTest

Last Updated

9 months ago

Project Type

Object Detection

Subject

Players-Racket

Views: 198

Views in previous 30 days: 21

Downloads: 8

Downloads in previous 30 days: 0

License

CC BY 4.0

Classes

court net player