class_docstr: XML dataset for detection.
  
  Args:
      img_subdir (str): Subdir where images are stored. Default: JPEGImages.
      ann_subdir (str): Subdir where annotations are. Default: Annotations.
      backend_args (dict, optional): Arguments to instantiate the
          corresponding backend. Defaults to None.
docstr: Return the minimum size of bounding boxes in the images.
docstr_tok: ["Return","the","minimum","size","of","bounding","boxes","in","the","images","."]
code: def bbox_min_size(self) -> Optional[int]:
      """Return the minimum size of bounding boxes in the images."""
      if self.filter_cfg is not None:
          return self.filter_cfg.get("bbox_min_size", None)
      else:
          return None
  
file_path: mmdetection/mmdet/datasets/xml_style.py
imports: import os.path
  import xml.etree.ElementTree
  from typing import List, Optional, Union
  import mmcv
  from mmengine.fileio import get, get_local_path, list_from_file
  from mmdet.registry import DATASETS
  from .base_det_dataset import BaseDetDataset
label_desc: Use image node_id 4 for calling the XMLDataset obj's underlying member method code with example usage: obj.bbox_min_size() and returns: self, None