code: def __init__(
      self,
      data_dir="auto",
      split="train",
      year="2017",
      use_crowded=False,
      return_crowded=False,
      return_area=False,
      return_bbox=False,
  ):
      if not _available:
          raise ValueError(
              "Please install pycocotools \n"
              "pip install -e 'git+https://github.com/cocodataset/coco.git"
              "#egg=pycocotools&subdirectory=PythonAPI'"
          )
      super(COCOInstanceSegmentationDataset, self).__init__(
          data_dir, split, year, use_crowded
      )
  
      keys = ("img", "mask", "label")
      if return_area:
          keys += ("area",)
      if return_crowded:
          keys += ("crowded",)
      if return_bbox:
          keys += ("bbox",)
      self.keys = keys
  
label_desc: Use image node_id 1 to create a new COCOInstanceSegmentationDataset object from inherited base classes: COCOInstancesBaseDataset with example: obj = COCOInstanceSegmentationDataset(data_dir, split, year, use_crowded, return_crowded, return_area, return_bbox)