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as we know , in detection we have 2 loss : one is localization loss other is classification loss , in the formulation the 1th , 2th term related to localization loss and 3th term is related to classification loss ,well , what is other terms? and why square root of w,h ?

loss function

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1st term => Will penalize localization of center (x,y)

2nd term => Will penalize height & width predictions (w,h). Square root is used to penalize smaller bounding boxes more compared to larger bounding boxes.

3rd term => If object is present, increase the confidence to IOU

4th term => If object is not present, decrease the confidence to 0

5th term => Simple Object classification loss

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