What does yolo's mAP mean?
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Definition of mAP and related Concepts
P = > precision, that is, accuracy
R = > recall, i.e. recall rate
PR curve = > is a two-dimensional curve with precision and recall as longitudinal and horizontal axis coordinates. Generally speaking, precision and recall are the relationship between fish and bear's paw.
AP value = > Average Precision, that is, average accuracy.
How to measure the performance of a model, using precision and recall alone is not scientific. So people thought, why not take the area under the PR curve as a measure? Hence the concept of AP value. The average here is equal to averaging the precision.
MAP value = > Mean Average Precision, that is, the average AP value.
PR curve: Precision-Recall curve
TP: the number of test boxes with IoU > 0.5 (the same Ground Truth is only calculated once)
FP: the maximum Precision at 11 points of IoU= 0,0.1,0.2,0.2,1, and then AP is the average of the 11 Precision.
In VOC2010 and beyond, for each different call value (including 0 and 1), select the maximum Precision value when it is greater than or equal to these call values, and then calculate the area under the PR curve as the AP value.
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