Cropping's affect on annatations?

[gao-shi]

In the paper, it is metioned that random crop a bounding box from input image, for which the box area is within [0.05, 1.0] of the whole image area for image pre-processing. But how can i know which label should be kept? It could happen that the object is cut off，but its label remains in the gt annotations.

[yunkchen]

Params in train.py:
object_cover=0.7,
area_cover=0.7,
I guess that just to keep most images' label invariant.