code: def _get_rand_bbox(self):
      x1, x2 = random.uniform(0, IMAGE_SIZE), random.uniform(
          0, IMAGE_SIZE
      )
      y1, y2 = random.uniform(0, IMAGE_SIZE), random.uniform(
          0, IMAGE_SIZE
      )
      return [min(x1, x2), min(y1, y2), abs(x1 - x2), abs(y1 - y2)]
  
file_path: mediapipe/mediapipe/model_maker/python/vision/object_detector/dataset_test.py
imports: import json
  import os
  import random
  import tensorflow
  from mediapipe.model_maker.python.vision.core import image_utils
  from mediapipe.model_maker.python.vision.core import test_utils
  from mediapipe.model_maker.python.vision.object_detector import dataset
  from mediapipe.tasks.python.test import test_utils
label_desc: Use image node_id 1 for calling the DatasetTest obj's underlying member method code with example usage: obj._get_rand_bbox() and returns: list