yolov26_3d/docs/macros/sam-auto-annotate.md

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).