How I Got Segmentation Masks from Object Detection - Teeth Segmentation Tutorial

Learn to automatically generate pixel-perfect segmentation masks for dental images by combining YOLO object detection with SAM2 (Segment Anything) in this 34-minute tutorial. Discover how to skip manual labeling while achieving high-quality teeth segmentation results through automated processes. Master the use of Ultralytics' auto_annotate() function to seamlessly integrate YOLOv11 or custom YOLO models with SAM2 for automatic polygon segmentation mask generation. Explore practical implementation steps including installation procedures, mask generation using YOLO11 weights, result visualization techniques, and adaptation methods for custom datasets and models. Follow along with hands-on demonstrations that show the complete workflow from setup to final segmentation output, making this approach applicable to your own computer vision projects requiring precise object segmentation without manual annotation overhead.