Can someone explain me these terms (acceptanceRatio, HR, FA) in training haar cascade, and "acceptanceRatio 800:4.97153e-05" is it consider good?

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May be it is a bit late to answer this question but I was searching for answers to it and found this https://stackoverflow.com/questions/2...

Shortly: HR and FA stand for hit rate and false alarm. Conceptually: hitRate = % of positive samples that are classified correctly as such. falseAlarm = % of negative samples incorrectly classified as positive.

Take a look here on how to handle the acceptanceRatio and the False acceptanceRatio in opencv traincascade:

• http://www.vision-ary.net/2015/03/boo... (on faces)

More about cascades:

• http://www.vision-ary.net/

The precision of your cascade classifier is determined by your Acceptance Ratio of the last stage. Technically, the acceptance ratio break value tells how much your model should continue to learn and when to stop.It must ideally be around 0.0000412 or so.

If it is 4.8789e-05, it signifies that your cascade is overtrained and will not detect the objects. In this case, you will have to reduce the number of stages you set and increase the number of learning samples( give in more negative and positive images)