How DetectionBoxes_Recall is calculated for values 1 / 10 / 100?

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When we are training Tensorflow Object Detection API, in Tensorboard there are 3 metrics for recall:

  • 'DetectionBoxes_Recall/AR@1': average recall with 1 detection.
  • 'DetectionBoxes_Recall/AR@10': average recall with 10 detections.
  • 'DetectionBoxes_Recall/AR@100': average recall with 100 detections.

How are those calculated? What 'with n detections' exactly mean?

graphs from TB

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