From: Comparative analysis of deep learning image detection algorithms
Average precision (AP): | Â | Â |
---|---|---|
AP | % AP at IoU | .50:.05:.95 (primary challenge metric) |
AP(IoU = .50) | % AP at IoU | .50 (PASCAL VOC metric) |
AP(IoU = .75) | % AP at IoU | .75 (strict metric) |
AP across scales | Â | Â |
---|---|---|
AP (small) | % AP for small objects | Area < 322 |
AP (medium) | % AP for medium objects | 322 < area < 962 |
AP (large) | % AP for large objects | Area > 962 |
Average Recall (AR) | Â |
---|---|
AR (max=1) | % AR given 1 detection per image |
AR (max=10) | % AR given 10 detections per image |
AR (max=100) | % AR given 100 detections per image |
AR across scales | Â | Â |
---|---|---|
AR (small) | % AR for small objects | Area < 322 |
AR (medium) | % AR for medium objects | 322 < area < 962 |
AR (large) | % A for large objects | Area > 962 |