How did you choose maskrcnn_bboxes?

[kondounagi]

Usually, Mask-R-CNN outputs many bounding boxes to an image.
In your paper, the model use only ten bounding boxes for an image.
How did you choose ten bounding boxes? (confidence, the size of bbox, ...)

maskrcnn_bboxes	List of detected bounding boxes corresponding to the image. (x1,y1) refers to start vertex of the rectangle and (x2, y2) refers to end vertex of the rectangle

Thanks