Sam Auto Annotate - Ultralytics

Argument	Type	Default	Description
`data`	`str`	required	Path to directory containing target images for annotation or segmentation.
`det_model`	`str`	`'yolo26x.pt'`	YOLO detection model path for initial object detection.
`sam_model`	`str`	`'sam_b.pt'`	SAM model path for segmentation (supports SAM, SAM2 variants, and MobileSAM models).
`device`	`str`	`''`	Computation device (e.g., 'cuda:0', 'cpu', or '' for automatic device detection).
`conf`	`float`	`0.25`	YOLO detection confidence threshold for filtering weak detections.
`iou`	`float`	`0.45`	IoU threshold for Non-Maximum Suppression to filter overlapping boxes.
`imgsz`	`int`	`640`	Input size for resizing images (must be multiple of 32).
`max_det`	`int`	`300`	Maximum number of detections per image for memory efficiency.
`classes`	`list[int]`	`None`	List of class indices to detect (e.g., `[0, 1]` for person & bicycle).
`output_dir`	`str`	`None`	Save directory for annotations (defaults to './labels' relative to data path).