Face Detection in DK 8.5 - does it learn?

[Steven Robbins]

First, I will say again that I am over the moon with the improvements in 
version 8.5.  Face detection & recognition is orders of magnitude better than 
in the past.

I just have a small question to clarify my understanding on the detection part 
-- i.e. when the face rectangles are created.

I am using the YuNet model, with default parameters (Accuracy = 7, Face Size = 
Large).  I find a fair number of "non face" regions identified.  The manual 
advises to  use the "Remove this face region" option.  Which is fine: the 
rectangle is removed and I'll never be bothered again for this picture (unless 
I use options to re-scan the picture).

My query is whether removing a face region will affect future model accuracy in 
any way.  For example, there are often many similar pictures of the same 
scene.  If a particular tree trunk is detected as a face, it shows up in all 
pictures.  If I were to remove the region, is there any update to the model 
that reduces the chance that the particular tree trunk will be detected as a 
face in a future image of the same scene?

Thanks,
-Steve
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