https://bugs.kde.org/show_bug.cgi?id=444394
Chris <chrisc.gigam...@gmail.com> changed:
What |Removed |Added
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CC| |chrisc.gigam...@gmail.com
--- Comment #6 from Chris <chrisc.gigam...@gmail.com> ---
(In reply to S. Burmeister from comment #4)
> Does rejecting educate the detection engine or does it only learn from
> confirmations?
>
> I have people with 400 confirmed faces and still digikam suggests the same
> wrong faces each time I re-run the detection. So it seems to me that the
> engine does not get any negative feedback and hence does not learn from
> rejections.
I agree. I would also like this feature.
Possibly it could be done with a model similar to the one that connects
confirmed and unconfirmed face tags to face regions. There could be a rejected
category as well. Rejections should of course be cancellable again (if you
reject by mistake).
To make it even more useful, maybe a large rejection value could be applied to
the face recognition, for every face tag, in order to make the recognition
value make the a second best suggestion.
It won't really "educate" the face recognition, but it will be helpful to the
end user when running recognition again.
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