Tensorboard graph recall

Question

I am training an object detector and I ran the evaluation job. I see certain graphs in the tensorboard. What is DetectionBoxes_Recall/AR@10 vs AR@100 vs AR@100(medium) in th

Answer 1

'DetectionBoxes_Precision/mAP': mean average precision over classes averaged over IOU thresholds ranging from .5 to .95 with .05 increments.

'DetectionBoxes_Precision/mAP@.50IOU': mean average precision at 50% IOU

'DetectionBoxes_Precision/mAP@.75IOU': mean average precision at 75% IOU

'DetectionBoxes_Precision/mAP (small)': mean average precision for small objects (area < 32^2 pixels).

'DetectionBoxes_Precision/mAP (medium)': mean average precision for medium sized objects (32^2 pixels < area < 96^2 pixels).

'DetectionBoxes_Precision/mAP (large)': mean average precision for large objects (96^2 pixels < area < 10000^2 pixels).

'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.

'DetectionBoxes_Recall/AR@100 (small)': average recall for small objects with 100.

'DetectionBoxes_Recall/AR@100 (medium)': average recall for medium objects with 100.

'DetectionBoxes_Recall/AR@100 (large)': average recall for large objects with 100 detections.