https://bugs.kde.org/show_bug.cgi?id=426481

--- Comment #19 from Chris <hagen...@gmail.com> ---
Hi Nghia, 

Thanks for the reply. For me it gets worse over time unfortunately. 

I started using 7.2.0 beta with photos exported from Apple photos app, so there
wasn’t any photos in the EXIF file in the beginning. 

Started doing this: 
Run detect faces. 
I did set the name for some people and let it recognize faces then. First the
results where relatively good (would say 50% of the suggestions was right), as
it recognized most photos from the same day of that Person. 
Confirmed right photos and set the right name for the wrong suggestions. 

(Repeated the following two steps about 10-15 times without getting above the
20% right suggestions) 
Run recognize photos again, with now about 20% right faces. 
Confirmed right photos and set the right name for the wrong suggestions. 


Reset the faces database in management. 
Run detect & recognize photos again with the same results. 

Last time I deleted the whole database files, (as seen in the last post) run
detect and recognize photos again and had the results mentioned then. 

Next run I’m again at only 20% right suggestions. (Even for people where I
confirmed abou 700-1.500 faces now). 

Is the machine learning also run for already confirmed photos after resetting
the faces database? If not maybe that would extremely optimize the recognition?
Optionally for sure, as it would have to run over all faces.

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