code: def cleanup_fo_dataset():
      dataset_test_names = ["_iv_test", "_iv_test_1"]
      yield
      for dataset_name in dataset_test_names:
          if dataset_name in list_datasets():
              ds = load_dataset(dataset_name)
              ds.delete()
              del ds
  
file_path: icevision/tests/data/test_convert_records_to_fo.py
imports: import imp
  from venv import create
  import pytest
  from PIL import Image
  from fiftyone import list_datasets, load_dataset, Detection, Sample, Dataset
  from icevision import tfms
  from icevision import data
  from icevision.data import Prediction
  from icevision.data.convert_records_to_fo import _convert_bbox_to_fo_bbox, record_to_fo_detections
  from icevision.data import convert_record_to_fo_sample, convert_prediction_to_fo_sample, create_fo_dataset
  from tests.conftest import object_detection_record
label_desc: Use image node_id 1 for calling a global function with example usage: cleanup_fo_dataset() without return types