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]["labels"] = [
              self.format_target(label)
              for label in sample[DataKeys.TARGET]["labels"]
          ]
      return sample
  
imports: from typing import Any, Dict, Hashable, List, Optional, Sequence
  from flash.core.data.io.classification_input import ClassificationInputMixin
  from flash.core.data.io.input import DataKeys
  from flash.core.data.utilities.classification import TargetFormatter
  from flash.core.data.utilities.paths import PATH_TYPE, filter_valid_files
  from flash.core.data.utilities.samples import to_samples
  from flash.core.integrations.fiftyone.utils import FiftyOneLabelUtilities
  from flash.core.integrations.icevision.data import IceVisionInput
  from flash.core.utilities.imports import _FIFTYONE_AVAILABLE, _ICEVISION_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 ObjectDetectionFilesInput obj's underlying member method code with example usage: obj.load_sample(sample) and returns: sample