Question
From the docs:
Fitness is the value we seek to maximize. In YOLOv5 we have defined a default fitness function as a weighted combination of metrics: mAP@0.5 contributes 10% of the weight and mAP@0.5:0.95 contributes the remaining 90%. You may adjust these as you see fit or use the default fitness definition.
def fitness(x):
# Model fitness as a weighted combination of metrics
w = [0.0, 0.0, 0.1, 0.9] # weights for [P, R, mAP@0.5, mAP@0.5:0.95]
return (x[:, :4] * w).sum(1)
My question:
What does the @0.5 mean at the end of mAP@0.5. Similarly what does the @0.5:0.95 mean at the end of mAP@0.5:0.95.
Also what does P and R stand for in the fitness function?
Question
From the docs:
Fitness is the value we seek to maximize. In YOLOv5 we have defined a default fitness function as a weighted combination of metrics: mAP@0.5 contributes 10% of the weight and mAP@0.5:0.95 contributes the remaining 90%. You may adjust these as you see fit or use the default fitness definition.
My question:
What does the @0.5 mean at the end of mAP@0.5. Similarly what does the @0.5:0.95 mean at the end of mAP@0.5:0.95.
Also what does P and R stand for in the fitness function?