Boccia ball Object Detection Dataset and Pre-Trained Model by boccia

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Explore Dataset

Here are a few use cases for this project:

Sports Coaching: Trainers can use the computer vision model to observe each player's characteristics and fine-tune their strategies in the game of Boccia. It can help in identifying the path of the balls, the consistency of throws, and player performance analysis.
Automated Score Keeping: The model can be used to automatically track the state of Boccia games and maintain real-time scores. It will identify which ball is closer to the Jack Ball and assign points accordingly, reducing human error.
Augmented Reality Games: The model can be used to create AR games using actual physical movements. Players would toss real balls, and the model would identify and track them to synchronize with the virtual game.
Boccia Ball Robot: Development of an autonomous robot that can play Boccia Ball. The model can be used to recognize the balls and develop a strategy to win the game.
Physiotherapy & Rehab: The model can be used in a rehabilitation setting where patients play Boccia as a form of physical therapy. The model can monitor how well patients are able to throw and control the balls over time, providing health professionals with additional information about their progress.

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{
                            boccia-ball_dataset,
                            title = { Boccia ball Dataset },
                            type = { Open Source Dataset },
                            author = { boccia },
                            howpublished = { \url{ https://universe.roboflow.com/boccia/boccia-ball } },
                            url = { https://universe.roboflow.com/boccia/boccia-ball },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-05-02 },
                            }