I'm novice on r-cnn.
There are term AP, AP50, AP75 on mask r-cnn paper. 50, 75 is small postfix, but I can't make it small, sorry. Anyway the paper says it is averaged over IOU thresholds. For AP50, only candidates over 50% region comparing ground truth are counted, and for AP75 only candidate over 75% are counted. Then what is empty AP? I knew AP use 70% IoU threshold, but it wouldn't. Because just AP is lower then AP75.
And additionally, there are another terms I don't understand well. They are APs, m, L. I know they mean small, medium, large. Then is there any criteria how big they are. Just saying small, medium, large makes me little bit confused.
Thanks in advance!
1 Answer
I found them from below:
Average Precision (AP):
AP % AP at IoU=.50:.05:.95 (primary challenge metric)
APIoU=.50 % AP at IoU=.50 (PASCAL VOC metric)
APIoU=.75 % AP at IoU=.75 (strict metric)
AP Across Scales: APsmall % AP for small objects: area < 322
APmedium % AP for medium objects: 322 < area < 962
APlarge % AP for large objects: area > 962
Average Recall (AR):
ARmax=1 % AR given 1 detection per image
ARmax=10 % AR given 10 detections per image
ARmax=100 % AR given 100 detections per image
AR Across Scales:
ARsmall % AR for small objects: area < 322
ARmedium % AR for medium objects: 322 < area < 962
ARlarge % AR for large objects: area > 962
Thanks.
