$2.00
Link for the tutorial : https://youtu.be/i8k8YP0oy00
In this tutorial, we delve into the world of computer vision by creating automatic labeling in Video streaming , and YOLOv8-based basketball object detection using Deep learning .
We'll work with game footage from a YouTube match between Real Madrid and Maccabi Tel-Aviv to build a model capable of detecting players, referees, and the basketball itself in real-time.
This tutorial covers the full pipeline, from automatically labeling data with Autodistill and GroundingDINO to training a custom YOLOv8 model and running live inference on new game footage. You'll gain hands-on experience with essential tools for AI-based sports analytics, while learning practical deep learning techniques.
### Key Concepts Covered:
- Frame extraction from YouTube videos using CamGear
- Automatic annotation generation with Autodistill and GroundingDINO
- Model training with YOLOv8 for object detection in sports
- Real-time inference on new basketball footage