Marocan Footballers Facial Recognition Computer Vision Project
Updated a year ago
77
10
Metrics
Here are a few use cases for this project:
-
Sports Journalism: Journalists covering Moroccan football could use this model to quickly identify players while writing reports or producing player-centric features.
-
Player Performance Analysis: Coaches and football analysts could utilize this model for post-match analysis, identifying players during specific moments to review their performance, movements and actions.
-
Security Management: Security staff at football events could use this model to confirm identities of specific Moroccan players during games or within stadium premises, improving overall security.
-
Fan Engagement: A football club or sport website could use this system as part of an interactive fan experience, allowing fans to upload photos from games and receive information about the players identified in the picture.
-
Advertisement and Brand Promotion: Brands that sponsor these players could use this model to identify and collect images of the players for promotional uses, ensuring that they can track their brand ambassadors effectively.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
marocan-footballers-facial-recognition_dataset,
title = { Marocan Footballers Facial Recognition Dataset },
type = { Open Source Dataset },
author = { Sara FaqihiFYP },
howpublished = { \url{ https://universe.roboflow.com/sara-faqihifyp/marocan-footballers-facial-recognition } },
url = { https://universe.roboflow.com/sara-faqihifyp/marocan-footballers-facial-recognition },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-11-27 },
}