Rank #6,045 1,018 starsJupyter Notebook

football_analysis

by abdullahtarek (personal account)

This repository contains a comprehensive computer vision/machine learning football project that uses YOLO for object detection, Kmeans for pixel segmentation, optical flow for motion tracking, and perspective transformation to analyze player movements in football videos (description from the project’s GitHub page)

View on GitHub

Repository facts

Stars: 1,018
Forks: 342
Open issues and pull requests: 20
Primary language: Jupyter Notebook
License: No license file detected
Owner: abdullahtarek · Personal account
Created: Apr 18, 2024
Last push: Apr 23, 2024

Rank #6,045 of 9,507 in AI on GitHub, by stars. Data from the GitHub API, fetched Oct 18, 2026; star counts change daily. Stars measure popularity, not quality or safety, and a listing is not an endorsement. How this list is made

Add this badge to your README

Ranked #6,045 in AI on GitHub Shows this repository’s rank in AI on GitHub and links back to this page. Ranks are by stars and change when the list is refreshed. The badge is not an endorsement or a rating. About the badges

Markdown (for a README)

[![Ranked #6,045 in AI on GitHub](https://unitedstatesofamericasuperintelligence.com/badges/github/abdullahtarek--football-analysis.svg)](https://unitedstatesofamericasuperintelligence.com/github/abdullahtarek--football-analysis/)

HTML

<a href="https://unitedstatesofamericasuperintelligence.com/github/abdullahtarek--football-analysis/"><img src="https://unitedstatesofamericasuperintelligence.com/badges/github/abdullahtarek--football-analysis.svg" alt="Ranked #6,045 in AI on GitHub" height="20"></a>

Repository facts

Add this badge to your README

Support Us