code: def setup_coco():
      coco_model = coco.load_model()
      train_ds = coco.load_dataset(train=True, object_type="VisionData")
      test_ds = coco.load_dataset(train=False, object_type="VisionData")
      train_preds, tests_preds = create_static_predictions(
          train_ds, test_ds, coco_model
      )
      return train_ds, test_ds, train_preds, tests_preds
  
file_path: deepchecks/benchmarks/vision_bench.py
imports: from typing import Callable
  import torch
  from deepchecks.core.errors import DeepchecksBaseError
  from deepchecks.vision import SingleDatasetCheck, TrainTestCheck
  from deepchecks.vision.datasets.classification import mnist_torch
  from deepchecks.vision.datasets.detection import coco_torch
  from deepchecks.vision.vision_data import VisionData
label_desc: Use image node_id 4 for calling a global function with example usage: setup_coco() and returns: train_ds,  test_ds,  train_preds,  tests_preds