class_docstr: Average recall metric for object detection.
  
  It computes the average precision metric for object detections for a single
  class. It averages MaxRecall metric over mulitple IoU thresholds.
class_docstr_tok: ["Average","recall","metric","for","object","detection",".","It","computes","the","average","precision","metric","for","object","detections","for","a","single","class",".","It","averages","MaxRecall","metric","over","mulitple","IoU","thresholds","."]
code: def _default_name(self) -> str:
      return 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 COCOAverageRecall obj's underlying member method code with example usage: obj._default_name() and returns: AVERAGE_RECALL_NAME