I know how YOLO models work for object detection.
I wonder what gave the YOLOv8 the ability to apply segmentation at the pixel level.
Is there a clever trick? How does it compare to other models like UNET in its approach?
I know how YOLO models work for object detection.
I wonder what gave the YOLOv8 the ability to apply segmentation at the pixel level.
Is there a clever trick? How does it compare to other models like UNET in its approach?