Re-train facial recognition?

[Aaron de Bruyn]

Thanks Maik!

I did a zfs snapshot of my photo archive and gave it a whirl. It finished about 30 minutes ago.
Unfortunately it didn't have any noticeable effect.

At 90% I can tag faces in images that are 98% or greater similarity according to the duplicate finder and it won't recognize them.

If I drop it down to 80% it might get some of them....but it also gets some wildly inaccurate guesses....like it thinks a chocolate lab is my blond-haired, blue-eyed kid.

I'll go through everything again this weekend and see if I've missed some incorrectly tagged faces.

-A

On Fri Apr 7, 2023, 08:12 PM GMT, Maik Qualmann <mailto:metzpinguin at gmail.com> wrote:
> In the maintenance tool under face detection there is the possibility to
> rebuild the training database. It will be rebuilt based on the confirmed faces.
> Note that face recognition in digiKam only works with face rectangles that
> have been automatically detected by digiKam. Face rectangles created by other
> programs or drawn manually are recognized very poorly or not at all.
>
> Maik
>
> Am Freitag, 7. April 2023, 14:51:15 CEST schrieb Aaron de Bruyn:
>> Hey everyone,
>>
>> I've been playing with the face recognition in DigiKam for a few months now
>> trying to sort through about 500,000 photos, and I've run into a few
>> problems.
>>
>> I'm making a few assumptions here, so please let me know if I'm way
>> off-base.
>>
>> I started out by tagging a few hundred photos of various family members
>> (let's just say Person 'A', 'B', 'C', etc...). After I did that, I ran the
>> recognition at 90% and it managed to get a few images that were nearly
>> duplicates of the ones I tagged. I confirmed them.
>>
>> Then I dropped it down to 80% and a bunch were detected incorrectly.
>>
>> While going through several thousand images...at one point I accidentally
>> tagged 20 or 30 images of Person A as Person B.
>>
>> I noticed there's no "Undo", and that's understandable based on my knowledge
>> of how training databases work. Anyways, I went in to Person B, found the
>> images of Person A and corrected them to be Person A.
>>
>> But from that point on, I appear to be doomed.
>>
>> The system still frequently detects Person A as Person B, and I've made the
>> mistake a few more times while classifying images.
>>
>> Yesterday I went through every single face tag and corrected probably 200
>> images in total that were confirmed incorrectly.
>>
>> Anyways, I re-ran the recognition tool, and it's still guessing people
>> incorrectly...
>>
>> My guess is the training database "learned" my mistakes and correcting them
>> doesn't really undo the damage I initially did.
>>
>> Is there a way to "reset" the facial recognition database and re-train it
>> from scratch by saying "The images I have already tagged as Person A,
>> Person B, etc... are correct"?
>>
>> Is that what "Clear and rebuild all training data" does in Maintenance? I'm
>> hesitant to try that option as it will probably take a solid day or two to
>> run and I don't want to lose all the manual tagging I've done.
>>
>> Thanks!
>>
>> -A
>
>
>
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.kde.org/pipermail/digikam-users/attachments/20230407/00b4ad47/attachment.htm>