https://bugs.kde.org/show_bug.cgi?id=478557

Michael Miller <[email protected]> changed:

           What    |Removed                     |Added
----------------------------------------------------------------------------
             Status|REPORTED                    |CONFIRMED
     Ever confirmed|0                           |1

--- Comment #3 from Michael Miller <[email protected]> ---
Hi al,
The recognition score is computed one face vs another.  There isn't a global
score for all faces, or even for a new face against a set of known faces.  This
is so digiKam can recognize faces at all angles and profiles.  For example, if
a known face is looking straight at the camera digikam can now recognize the
same face turned more to the side and match it.  Once that face suggestion is
confirmed, digiKam will use the new sideways face and match it to a face in
full profile. The same process would repeat for faces turned the opposite
direction.

The new facial recognition model coming in digiKam 8.5.0 is much more accurate
at matching faces, even very blurry ones.

For item 2, I agree.  We need to provide a function to check faces within an
approved set to see if there were any accidental matches.  Because the new
model is much more accurate, even 1 accidentally approved incorrect face can
generate many false-positive matches.

Cheers,
Mike

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