players_football_2 Object Detection Dataset and Pre-Trained Model by CameraPan

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Explore Dataset

Here are a few use cases for this project:

Sports Analytics: This model can be used in professional sports analysis where understanding player movement, positioning, and ball interaction is critical. It can automatically track each player and the football to provide real-time statistics.
Broadcasting and Journalism: The model can be used in live broadcasts of football matches to provide viewers with a deeper understanding of the gameplay. It can automatically identify and highlight players or the ball, helping commentators explain critical moments of the game more effectively.
Virtual Reality Gaming: In VR football games, the model can be implemented to recognize player movements and interactions for improving the gaming experience, such as realistic ball passing or tackling.
Physical Education and Training: Coaches can employ this model to analyze the performance of their athletes during training or matches. The model can be used to spot certain gameplay patterns, player positioning, and ball interactions to help coaches develop better strategies and training plans.
Security and Crowd Management: The model can be utilized for crowd safety during football matches. By tracking the ball and player movements, it can help identify abnormal behavior or potential risks, such as crowd disturbances initiated by a player's actions on the field.

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{
                            players_football_2_dataset,
                            title = { players_football_2 Dataset },
                            type = { Open Source Dataset },
                            author = { CameraPan },
                            howpublished = { \url{ https://universe.roboflow.com/camerapan/players_football_2 } },
                            url = { https://universe.roboflow.com/camerapan/players_football_2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { nov },
                            note = { visited on 2024-06-28 },
                            }