Object Detection to Segmentation with YOLOv11 and SAM2 - Full Python Tutorial

Learn to combine YOLOv11 object detection with SAM2 (Segment Anything Model v2) for powerful image segmentation in this 17-minute hands-on Python tutorial. Master the process of detecting objects using YOLOv11, extracting bounding boxes, and passing them to SAM2 to generate precise binary segmentation masks using Python and Ultralytics' new API. Discover how to load and run YOLOv11 object detection on multiple images, extract bounding boxes from YOLO output, utilize SAM2 for accurate object segmentation, and convert masks to binary format for visualization or saving. Follow along with practical coding examples that demonstrate the complete workflow from object detection to segmentation, making this an essential resource for computer vision practitioners working with state-of-the-art models.