Football Player Detection Computer Vision Project
Overview
This project started over 3 years ago, where I wanted to make something that would draw out football plays automatically. Last year I hit a break through in my python development where I could track players individually. Roboflow has allowed me to track players by position groups.
Classes
Some of them are straight forward like Center, QB (quarterback), db (defensive back), lb (linebacker), but the rest are identified as skill. That means an offensive player like Runningback, Fullback, Tightend, H-back, Wide Reciever.
The project in action
I haven't made a video with myself using roboflow but I will shortly. You can see the project on my linkedin and how it's grown and will continue to grow. My LinkedIn
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-detection_dataset,
title = { Football Player Detection Dataset },
type = { Open Source Dataset },
author = { bronkscottema },
howpublished = { \url{ https://universe.roboflow.com/bronkscottema/football-player-detection } },
url = { https://universe.roboflow.com/bronkscottema/football-player-detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { dec },
note = { visited on 2024-03-19 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Football Player Detection project in your project.