Face recognition - avoid messing up the data

[daj omu]

Yolo is probably good. Now if I have 20 really good photos for training the
engine on a specific face and after that I add 50 bad and blurry faces,
will that mess it up? If so, how can I avoid having the face recognition
totally messed up after a while?


On Sat, 7 Oct 2023 at 17:01, Gilles Caulier <caulier.gilles at gmail.com>
wrote:

> Hi,
>
> If you use the Yolo v3 DNN face engine, I see very good results in
> face workflow. Look the samples listed in online documentation:
>
> https://docs.digikam.org/en/main_window/people_view.html#face-detection
>
> Best
>
> Gilles Caulier
>
> Le sam. 7 oct. 2023 à 11:41, Remco Viëtor <remco.vietor at wanadoo.fr> a
> écrit :
> >
> > On samedi 7 octobre 2023 11:27:47 CEST daj omu wrote:
> > > Hi,
> > >
> > > Will blurry and low quality images eventually mess up the face
> recognition
> > > engine?
> > >
> > > Dajomu
> >
> > There's a saying "garbage in, garbage out"...
> >
> >
> >
>
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