code: def __init__(
      self, index, data, class_id, transform=None, target_transform=None
  ):
      super(PascalDataset, self).__init__(
          index, transform=transform, target_transform=target_transform
      )
      self.data, self.masks = data
      self.class_id = class_id
  
imports: import os
  import json
  import glob
  import h5py
  from PIL import Image, ImageOps
  from torchmeta.utils.data import Dataset, ClassDataset, CombinationMetaDataset
  from torchvision.datasets.utils import list_dir, download_url
  from torchmeta.datasets.utils import get_asset
  import numpy
label_desc: Use image node_id 1 to create a new PascalDataset object from inherited base classes: Dataset with example: obj = PascalDataset(index, data, class_id, transform, target_transform)