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Argument | Type | Default | Description |
---|---|---|---|
data |
str |
required | Path to directory containing target images for annotation or segmentation. |
det_model |
str |
'yolo11x.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 mobile_sam 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). |
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Browsing data directories saved to S3 compatible storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!
ultralytics is now integrated with your S3 compatible storage!
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