code: def load_data(
      self,
      sample_collection: SampleCollection,
      label_field: str = "ground_truth",
      target_formatter: Optional[TargetFormatter] = None,
  ) -> List[Dict[str, Any]]:
      label_utilities = FiftyOneLabelUtilities(label_field, fol.Label)
      label_utilities.validate(sample_collection)
  
      label_path = sample_collection._get_label_field_path(
          label_field, "label"
      )[1]
  
      filepaths = sample_collection.values("filepath")
      targets = sample_collection.values(label_path)
  
      return super().load_data(
          filepaths, targets, target_formatter=target_formatter
      )
  
imports: import os
  from typing import Any, Callable, Dict, List, Optional, Union
  import pandas
  from flash.core.data.io.classification_input import ClassificationInputMixin
  from flash.core.data.io.input import DataKeys
  from flash.core.data.utilities.classification import MultiBinaryTargetFormatter, TargetFormatter
  from flash.core.data.utilities.data_frame import resolve_files, resolve_targets
  from flash.core.data.utilities.loading import load_data_frame
  from flash.core.data.utilities.paths import PATH_TYPE, filter_valid_files, make_dataset
  from flash.core.data.utilities.samples import to_samples
  from flash.core.integrations.fiftyone.utils import FiftyOneLabelUtilities
  from flash.core.utilities.imports import _FIFTYONE_AVAILABLE, lazy_import, requires
  from flash.image.data import IMG_EXTENSIONS, NP_EXTENSIONS, ImageFilesInput, ImageInput, ImageNumpyInput, ImageTensorInput
label_desc: Use image node_id 1 for calling the ImageClassificationFiftyOneInput obj's underlying member method code with example usage: obj.load_data(sample_collection, label_field, target_formatter) and returns: super