code: def _info(self):
      return evaluate.MetricInfo(
          description=_DESCRIPTION,
          citation=_CITATION,
          inputs_description=_KWARGS_DESCRIPTION,
          features=datasets.Features(
              # 1st Seq - height dim, 2nd - width dim
              {
                  "predictions": datasets.Sequence(
                      datasets.Sequence(datasets.Value("uint16"))
                  ),
                  "references": datasets.Sequence(
                      datasets.Sequence(datasets.Value("uint16"))
                  ),
              }
          ),
          reference_urls=[
              "https://github.com/open-mmlab/mmsegmentation/blob/71c201b1813267d78764f306a297ca717827c4bf/mmseg/core/evaluation/metrics.py"
          ],
      )
  
file_path: evaluate/metrics/mean_iou/mean_iou.py
imports: from typing import Dict, Optional
  import datasets
  import numpy
  import evaluate
label_desc: Use image node_id 1 for calling the MeanIoU obj's underlying member method code with example usage: obj._info() and returns: evaluate