Re: Still cant figure out face recognition under 8.7

"Chad A. Bersche" <[email protected]>
Newsgroups gmane.comp.kde.digikam.user
Message-ID <[email protected]>
I've been baffled by this as well. I'm running on Windows 11, DigiKam 
8.7, and downloaded all the modules.  I let it grind thru a bunch of my 
libraries overnight.  It resulted in about 6000 images in the Unknown 
category.  I spent a a couple hours assigning names to people in that 
list (sometimes up to 200-300 images).  I still have 5500 in the Unknown 
bucket after classifying several hundred.

After doing that, I went to run the "Recognize faces only" with 
Accuracy=7, Search in set to "All Albums" and Tags unchecked. Then when 
I do the "Scan collection for faces" nothing changes, and all the same 
Unknown images stay in the same Unknown bucket.

What am I doing wrong?  I had hoped that tagging a good number of faces 
before doing the recognition would improve its accuracy, but it seems to 
just want me to do all the assignment work, which I kinda don't want to do.

I'm using an external SQL database, with the database running on Linux, 
because I do use the same image libraries across Windows clients.

Thanks for any help/suggestions!

   -- Chad

On 7/8/2025 10:43 PM, Gilles Caulier wrote:
> Hi,
>
> You need to first detect faces on albums before you recognize them.
> After detecting, manually tag a few faces with names, at least a few
> ones are enough to teach the AI for an automated recognition.
>
> Finally, run a recognition process and look as AI recognizes similar
> faces already registered in the model but not yet tagged in the
> database.
>
> The workflow is explained in the online doc :
> https://docs.digikam.org/en/left_sidebar/people_view.html
>
> Best
>
> Gilles Caulier
>
> Le mer. 9 juil. 2025 à 02:08, robert lindsay
> <[email protected]> a écrit :
>> This is under intel mac os and I installed the modules it asked for in installation. Under face recognition their are boxes for rebuilding and training data, but i can't find on to start face recognition on albums
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