class_docstr: Metric util function mixin.
class_docstr_tok: ["Metric","util","function","mixin","."]
docstr: Group detection and labels in dict of format {class_id: {'detected' [...], 'ground_truth': [...]}}.
docstr_tok: ["Group","detection","and","labels","in","dict","of","format","{","class_id",":","{","'detected","'","[","...","]",",","'ground_truth","'",":","[","...","]","}","}","."]
code: def group_class_detection_label(
      self, detections, labels
  ) -> t.Dict[t.Any, t.Dict[str, list]]:
      """Group detection and labels in dict of format {class_id: {'detected' [...], 'ground_truth': [...]}}."""
      pass
  
file_path: deepchecks/deepchecks/vision/metrics_utils/metric_mixin.py
imports: import typing
  from abc import abstractmethod
  import numpy
  from deepchecks.vision.metrics_utils.iou_utils import compute_pairwise_ious, group_class_detection_label, jaccard_iou
label_desc: Use image node_id 3 for calling the MetricMixin obj's underlying member method code with example usage: obj.group_class_detection_label(detections, labels) without return types