code: def load_sample(self, sample: Dict[str, Any]) -> Dict[str, Any]:
      sample = super().load_sample(sample)
      if DataKeys.TARGET in sample:
          sample[DataKeys.TARGET] = self.format_target(
              sample[DataKeys.TARGET]
          )
      return sample
  
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 2 for calling the ImageClassificationFilesInput obj's underlying member method code with example usage: obj.load_sample(sample) and returns: sample