Object Detection and Tracking with YOLOv8
Nicolai Nielsen
"Object Detection and Tracking with YOLOv8" is an advanced course meticulously designed to equip you with the cutting-edge skills required for mastering object detection and tracking using the latest iteration of the YOLO algorithm, YOLOv8. This course begins with a comprehensive introduction to the core concepts of object detection and tracking, setting a solid foundation for the complex topics ahead. Designed for those with a passion for AI and computer vision, this course requires a foundational understanding of machine learning principles but promises to take you on a deep dive into the practical and theoretical aspects of implementing YOLOv8 for object detection and tracking.
Explore the Course Plan
This module serves as an introduction to object detection and tracking using YOLOv8.
This module delves into object tracking, building upon the foundations of object detection covered in the previous module.
This module transitions into the practical aspect of object detection and tracking.
This module delves into the practical steps of training a custom object detection model using YOLOv8 in a Google Colab notebook.
This module demonstrates how to run inference on a video using a custom-trained object detection model.
This module focuses on integrating object tracking with the previously trained object detection model.
