Football Player Tracker Object Detection Dataset and Pre-Trained Model by Football Tracking

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Here are a few use cases for this project:

Player Performance Analysis: Use the "Football Player Tracker" to analyze individual player performances during football games. This could include tracking their movements, analyzing their tactical decisions, or assessing the overall efficiency of the team's formations and strategies.
Automated Sports Coverage: Employ this computer vision model for automated, real-time sports-broadcast coverage. It could provide detailed tracking information about players to sports commentators to enhance their analysis during live broadcasts.
Learning and Coaching: Coaches can use this model to educate players by visually demonstrating their movements and activities on the field. This could be incredibly beneficial for training sessions, providing a unique method to improve player's understanding of their role and performance.
Sports Betting: Sports betting companies could use this model to provide real-time data and analytics to their customers, enhancing their betting experience by supplying in-depth information about player performances and behaviors.
Game Strategy Development: Use the data gathered by this computer vision model to assist in the creation or tweaking of a team's game strategies. By understanding which player/classes are performing well in certain roles, the coaching staff can better plan their strategies for future games.

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{
                            football-player-tracker-tyrjx_dataset,
                            title = { Football Player Tracker Dataset },
                            type = { Open Source Dataset },
                            author = { Football Tracking },
                            howpublished = { \url{ https://universe.roboflow.com/football-tracking/football-player-tracker-tyrjx } },
                            url = { https://universe.roboflow.com/football-tracking/football-player-tracker-tyrjx },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jan },
                            note = { visited on 2024-04-28 },
                            }

Connect Your Model With Program Logic

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