https://bugs.kde.org/show_bug.cgi?id=470018
Chris <chrisc.gigam...@gmail.com> changed:
What |Removed |Added
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CC| |chrisc.gigam...@gmail.com
--- Comment #1 from Chris <chrisc.gigam...@gmail.com> ---
(In reply to Andy from comment #0)
> Hello,
> my facial recognition has a very high error rate. I've already written a lot
> about this.
> At the moment I have over 20000 unconfirmed and 30000 unknown to work
> through one by one.
> My idea would be that I mark five to ten matching faces under "unconfirmed"
> or "unknown" and then digikam groups new suggestions for me from all other
> unknown or unconfirmed faces that show an actual similarity. Maybe that
> would also work with a selection of the already confirmed faces.
> When you're happy with the result, mark the first and last faces and confirm
> them all at once.
>
> Best Regards
> Andy
I think the grouping under "Unconfirmed" is actually the automatic version of
half of what you suggest. The problem is that the suggestion is probably wrong,
since you need to manually select some (5-10 matching faces) and tell the
algorhithm that "this is the same person, please find more like it."
In another bug-report / suggestion I saw a mention that the last 100 face tags
of a particular person are used by the algorithm to recognize people. Another
way to phrase your idea, could be "allow the user to manually select 5-100 face
regions of a particular person and make the algorithm use only those".
It's not exactly the same, but it's all about helping the recognition algorithm
use the best data. Maybe? :)
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