Real-Time Dog Tracking with YOLOv11 - Object Segmentation and Tracking Tutorial

Learn to implement real-time object segmentation and tracking using YOLOv11 and Python in this hands-on tutorial. Follow along as you process a video of dogs running through snow, assigning each dog a unique tracking ID and overlaying segmentations with smooth live updates. Master loading a YOLOv11 segmentation model in Python, tracking multiple objects in real time, visualizing masks and track IDs dynamically, and processing and saving annotated video output. Discover how to bring segmentation to life using powerful tools like Ultralytics, OpenCV2, and real-time video processing techniques. The tutorial covers installation, setup, and complete coding implementation, making it suitable for both beginners and experienced practitioners looking to enhance their computer vision skills with state-of-the-art object detection and tracking capabilities.