This is a computer vision project that utilizes object detection algorithms to analyze football matches videos by finding the position of players, ball and referees on the football pitch and finding out to which team each player belongs.

For this we use YOLOv8 (the latest version of the popular and fast object detector) for detecting the players in each frame of the video, and ByteTrack a multi object detection model released in 2022 to identify the players and track their trajectory.

Using Yolov8 for object detection and OpenCV for computer vision tasks, this application extracts player and ball coordinates, projects them onto a tactical map, and provides real-time insights for football analysis.

Dec 9, 2022 · In this post, we use a YOLOv5 detection model and state-of-the-art tracker ByteTRACK to track football players.

Nov 25, 2024 · At a high level, the computer vision model (YOLO) can accurately detect the location🌍 of each object and create a frame🖼️ around it while tracking its motion over time. Through this, we’re able...

Jul 2, 2024 · In this tutorial, we will walk you through building a football analysis project utilizing state-of-the-art AI/ML techniques. We will leverage YOLO (You Only Look Once) for object detection, OpenCV for video manipulation, and perform various analytical tasks from scratch.

Dec 16, 2023 · YOLO (You Only Look Once) is a state-of-the-art Object Detection algorithm which found its fame due to its revolutionary technique of single-pass detection which improved its speed and accuracy...

This project utilizes advanced AI techniques to detect and analyze football-related objects in images and videos. The solution is designed for applications in sports analytics, video processing, and automated commentary systems.

Jul 10, 2018 · Analyze a Soccer (Football) Game Using Tensorflow Object Detection and OpenCV. For the data scientist within you let's use this opportunity to do some analysis on soccer clips. With the use of deep learning and opencv we can extract interesting insights from video clips

By leveraging state-of-the-art object detection (YOLOv8) and tracking (ByteTrack), we aimed to provide actionable insights such as player tracking, heatmaps, and performance metrics. The project is a football analytics system that: Detects and tracks players in …