Football detection Object Detection Dataset and Pre-Trained Model by Yolo

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Explore Dataset

Here are a few use cases for this project:

Sports Performance Analysis: Researchers or coaches can use the "Football detection" model to analyze sports performance. It can identify the players, ball, and cone positions to study player movements, ball possession, and team formation tactics during a football game.
Sports Broadcasting and Media: The model can be used by sports broadcasters to enhance user experience. They can utilize the model to automatically track players and the ball, and provide real-time statistics during live broadcasts.
Augmented Reality Apps: Mobile app developers can use the model to create augmented reality (AR) applications for football fans. For example, an AR app that enables users to analyze football play strategies by identifying players and the ball in real-time.
Security and Surveillance: At football stadiums, the model could be used as a security tool to monitor crowd movements and detect any unusual activities. It can keep track of the location of different teams to ensure that they are in their designated areas.
Fitness and Training: The model could be used by fitness trainers or individuals to assess performance during training sessions. It can help identify if the player's positioning and movements correlate with the ideal tactics.

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-detection-7nb48_dataset,
                            title = { Football detection Dataset },
                            type = { Open Source Dataset },
                            author = { Yolo },
                            howpublished = { \url{ https://universe.roboflow.com/yolo-whjii/football-detection-7nb48 } },
                            url = { https://universe.roboflow.com/yolo-whjii/football-detection-7nb48 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { may },
                            note = { visited on 2024-06-23 },
                            }