Football Field Entity Track Computer Vision Project
FootballFieldEntityNet
Updated 10 months ago
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Description
This model designed to detect and classify key elements in a soccer match. This system is capable of identifying players, referees, goalkeepers, and the ball, offering a basic yet useful analysis of the game.
This model focuses on providing reliable and practical detection, making it ideal for tasks such as video analysis, tactical reviews, or simple automated systems. While it's a specialized model, its development is aimed at being an accessible tool for those who need a clear understanding of actions on a football field.
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LICENSE
CC BY 4.0 If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
football-field-entity-track_dataset,
title = { Football Field Entity Track Dataset },
type = { Open Source Dataset },
author = { FootballFieldEntityNet },
howpublished = { \url{ https://universe.roboflow.com/footballfieldentitynet/football-field-entity-track } },
url = { https://universe.roboflow.com/footballfieldentitynet/football-field-entity-track },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { aug },
note = { visited on 2025-06-14 },
}