class_docstr: Metric util function mixin for object detection.
class_docstr_tok: ["Metric","util","function","mixin","for","object","detection","."]
docstr: Get labels object of single image and should return area for each label.
docstr_tok: ["Get","labels","object","of","single","image","and","should","return","area","for","each","label","."]
code: def get_labels_areas(self, labels) -> t.List[int]:
      """Get labels object of single image and should return area for each label."""
      return [bbox[3] * bbox[4] for bbox in labels]
  
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 1 for calling the ObjectDetectionMetricMixin obj's underlying member method code with example usage: obj.get_labels_areas(labels) and returns: unknown