>>> import numpy as np
>>> import albumentations as A
>>>
>>> # Prepare sample data
>>> image = np.random.randint(0, 256, (100, 100, 3), dtype=np.uint8)
>>> mask = np.zeros((100, 100), dtype=np.uint8)
>>> mask[20:40, 20:40] = 1  # Object 1
>>> mask[60:80, 60:80] = 2  # Object 2
>>> bboxes = np.array([[20, 20, 40, 40], [60, 60, 80, 80]], dtype=np.float32)
>>> bbox_labels = [1, 2]
>>> keypoints = np.array([[30, 30], [70, 70]], dtype=np.float32)
>>> keypoint_labels = [0, 1]
>>>
>>> # Define the transform with tuple for max_objects
>>> transform = A.Compose(
...     transforms=[
...         A.MaskDropout(
...             max_objects=(1, 2),  # Using tuple to specify min and max objects to drop
...             fill=0,  # Fill value for dropped regions in image
...             fill_mask=0,  # Fill value for dropped regions in mask
...             p=1.0
...         ),
...     ],
...     bbox_params=A.BboxParams(
...         format='pascal_voc',
...         label_fields=['bbox_labels'],
...         min_area=1,
...         min_visibility=0.1
...     ),
...     keypoint_params=A.KeypointParams(
...         format='xy',
...         label_fields=['keypoint_labels'],
...         remove_invisible=True
...     )
... )
>>>
>>> # Apply the transform
>>> transformed = transform(
...     image=image,
...     mask=mask,
...     bboxes=bboxes,
...     bbox_labels=bbox_labels,
...     keypoints=keypoints,
...     keypoint_labels=keypoint_labels
... )
>>>
>>> # Get the transformed data
>>> transformed_image = transformed['image']  # Image with dropped out regions
>>> transformed_mask = transformed['mask']    # Mask with dropped out regions
>>> transformed_bboxes = transformed['bboxes']  # Remaining bboxes after dropout
>>> transformed_bbox_labels = transformed['bbox_labels']  # Labels for remaining bboxes
>>> transformed_keypoints = transformed['keypoints']  # Remaining keypoints after dropout
>>> transformed_keypoint_labels = transformed['keypoint_labels']  # Labels for remaining keypoints
Parameters

Bounding Box Parameters

Keypoint Parameters
