Explore computer vision and deep learning techniques to create an automatic basketball game detection system. Learn to extract frames from YouTube videos, generate automatic annotations using Autodistill and GroundingDINO, train a custom YOLOv8 model for object detection in sports, and perform real-time inference on new game footage. Gain hands-on experience with essential tools for AI-based sports analytics while working with game footage from a Real Madrid vs. Maccabi Tel-Aviv match. Master the full pipeline from data labeling to live inference, and develop practical skills in deep learning for sports video analysis.
Deep Learning for Basketball Game Detection - YOLOv8 Object Detection Tutorial
Overview
Syllabus
Introduction & Demo
Installation
Generate the dataset
Automatic dataset annotation
Train a model
Test the mode
Taught by
Eran Feit
