class_docstr: Mean Average recall metric for object detection.
  
  It computes the mean average precision metric for object detections for a
  single class. It averages COCOAverageRecall metric over mulitple classes.
class_docstr_tok: ["Mean","Average","recall","metric","for","object","detection",".","It","computes","the","mean","average","precision","metric","for","object","detections","for","a","single","class",".","It","averages","COCOAverageRecall","metric","over","mulitple","classes","."]
code: def _default_name(self) -> str:
      return MEAN_AVERAGE_RECALL_NAME
  
imports: import logging
  import math
  from typing import Any, Dict, List, Optional, Tuple, Union
  import numpy
  from tensorflow_model_analysis.metrics import confusion_matrix_metrics
  from tensorflow_model_analysis.metrics import metric_types
  from tensorflow_model_analysis.metrics import metric_util
  from tensorflow_model_analysis.metrics import object_detection_confusion_matrix_metrics
label_desc: Use image node_id 2 for calling the COCOMeanAverageRecall obj's underlying member method code with example usage: obj._default_name() and returns: MEAN_AVERAGE_RECALL_NAME