>>> import numpy as np
>>> import albumentations as A
>>> # Create example data
>>> image = np.random.randint(0, 256, (100, 100, 3), dtype=np.uint8)
>>> mask = np.random.randint(0, 2, (100, 100), dtype=np.uint8)
>>> bboxes = np.array([[10, 10, 50, 50], [40, 40, 80, 80]], dtype=np.float32)
>>> bbox_labels = [1, 2]  # Class labels for bounding boxes
>>> keypoints = np.array([[20, 30], [60, 70]], dtype=np.float32)
>>> keypoint_labels = [0, 1]  # Labels for keypoints
>>> # Define the transform
>>> transform = A.Compose([
...     A.RandomRotate90(p=1.0),
... ], bbox_params=A.BboxParams(format='pascal_voc', label_fields=['bbox_labels']),
...    keypoint_params=A.KeypointParams(format='xy', label_fields=['keypoint_labels']))
>>> # Apply the transform to all targets
>>> transformed = transform(
...     image=image,
...     mask=mask,
...     bboxes=bboxes,
...     bbox_labels=bbox_labels,
...     keypoints=keypoints,
...     keypoint_labels=keypoint_labels
... )
>>> rotated_image = transformed["image"]
>>> rotated_mask = transformed["mask"]
>>> rotated_bboxes = transformed["bboxes"]
>>> rotated_bbox_labels = transformed["bbox_labels"]
>>> rotated_keypoints = transformed["keypoints"]
>>> rotated_keypoint_labels = transformed["keypoint_labels"]