Roboflow Universe bronkscottema Football Player Detection
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Football Player Detection Computer Vision Project

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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

Gridiron Intelligence

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 2023-01-31 },
}

Source

bronkscottema

Last Updated

a month ago

Project Type

Object Detection

Subject

american-football-players

Classes

center, db, lb, qb, skill

License

CC BY 4.0