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NFL-competition

Object Detection

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NFL-competition Computer Vision Project

Images

9947 images
Explore Dataset

The NFL Competition dataset contains nearly 10,000 images of football players during game play. This dataset can be used to detect the number of players and their locations on the field in order to alert coaches of possible NFL formation penalties or to analyze formations post-game. It can also be used as a starting point for automated player safety checks, ensuring each player is wearing a helmet.

For inspiration on how computer vision applications in the world of sports, check out this post from the Roboflow blog:

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            nfl-competition_dataset,
                            title = { NFL-competition Dataset },
                            type = { Open Source Dataset },
                            author = { home },
                            howpublished = { \url{ https://universe.roboflow.com/home-mxzv1/nfl-competition } },
                            url = { https://universe.roboflow.com/home-mxzv1/nfl-competition },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { sep },
                            note = { visited on 2024-06-21 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the NFL-competition project in your project.

Source

home

Last Updated

2 years ago

Project Type

Object Detection

Subject

helmets

Views: 727

Views in previous 30 days: 13

Downloads: 25

Downloads in previous 30 days: 1

License

Public Domain

Classes

Helmet Helmet-Blurred Helmet-Difficult Helmet-Partial Helmet-Sideline