Experience the revolutionary intersection of sports and technology in our webinar titled “How to Build an OpenAI Basketball Referee System with Computer Vision.”
Discover how advanced computer vision and machine learning technologies can be utilized to improve the fairness and quality of basketball games.
Ayush Pai will guide you through the process of creating a system that accurately identifies key plays such as travels and double dribbles, making the game more fair and data-driven.
Join Ayush Pai and Akmal Chaudhri for an eye-opening webinar demonstrating how to construct an AI Basketball Referee system that’s capable of detecting basketballs and player movements in real time using custom machine learning models.
This event is a must-attend for developers, sports enthusiasts, and anyone interested in the innovative application of AI in sports.
Don’t miss this opportunity to learn from a pioneer in the field and gain invaluable insights into building an AI Basketball Referee system.
Discussion Topics
1. How to Build an AI Basketball Referee System: Dive into the world of machine learning and computer vision with a step-by-step guide on developing an AI system capable of detecting basketballs and player movements in real time.
2. Understanding the Role of YOLO in AI Systems: Get an in-depth understanding of YOLO (You Only Look Once) machine learning model and its application in detecting basketballs within video frames.
3. The Power of Pose Estimation: Discover how YOLO pose estimation can be utilized to identify and track keypoints on the body of the players, enabling the detection of travels and double dribbles
Featured Speakers
Ayush Pai
Computer Science @ Georgia Tech
Akmal Chaudhri
Senior Technical Evangelist, SingleStore
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https://github.com/ayushpai/AI-Basketball-Referee
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