Juggling Object Detection Dataset and Pre-Trained Model by football

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Explore Dataset

Here are a few use cases for this project:

Sports Analytics: The "Juggling" model can be used for tracking player and ball movements during football matches. It can provide insights into player performance, ball control and technique.
Player Training Improvement: Coaches can use the model to analyse and improve a player's juggling skills, by identifying any errors in foot-ball coordination and providing feedback on how to improve.
Augmented Reality Sports Games: In AR games aiming to emulate real life ball games (like football), this model can be used to detect and track the person's movements as well as the ball, making the gaming experience more interactive and realistic.
Physical Therapy and Rehabilitation: This model can be used to monitor patients’ progress during physical therapy - particularly in exercises involving coordination between the person and balls.
Video Review and Referee Assistance: The model can help in making judgment calls such as fouls and handballs by determining if the ball contacted the player's foot or another part of the body. It can also be used for retrospective video analysis to validate or dispute calls made during the game.

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{
                            juggling-xfitx_dataset,
                            title = { Juggling Dataset },
                            type = { Open Source Dataset },
                            author = { football },
                            howpublished = { \url{ https://universe.roboflow.com/football-bjlgx/juggling-xfitx } },
                            url = { https://universe.roboflow.com/football-bjlgx/juggling-xfitx },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { nov },
                            note = { visited on 2024-05-11 },
                            }