Build an AI/ML NBA Basketball Analysis system with YOLO, OpenCV, and Python

🏀 In this video, you'll learn how to use machine learning, computer vision and deep learning to create an NBA basketball analysis system. This project is able to extract a lot of insights from a basketball game by using multiple AI models — like YOLO for object detection. This includes the number of passes and interceptions a team made, the ball acquisition percentage of each team, the distance and speed of each player, and even translates the camera view into a tactical top-down view, allowing the system to fully understand what’s happening on the court. This project utilizes YOlO a state …