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This step-by-step tutorial demonstrates how to segment different objects in a single image using YOLO V11 model and Python. Learn the complete process from loading the YOLO V11 segmentation model to predicting object masks, extracting polygons, drawing colorful boundaries around detected objects, and saving the final segmented image. The 14-minute guide covers essential techniques including how to load the segmentation model, predict masks on images, extract masks and polygons, visualize segmentation masks with Pillow (PIL), and draw colored polygons around different objects. The tutorial includes chapters on introduction and demo, installation requirements, and the actual coding implementation. Access the complete code through the provided link and explore additional computer vision and image segmentation tutorials from the author's blog and playlists.
