ultralytics/docs/macros/sam-auto-annotate.md
Glenn Jocher f2d3aed634
ultralytics 8.4.0 YOLO26 Models Release (#23176)
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Laughing-q <1185102784@qq.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
2026-01-14 03:44:38 +00:00

1.6 KiB

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).