Face recognition - avoid messing up the data

[Helen Jelen]

Hei,

Didn't you like my suggestion I sent Oct. 8th?


BR,


h.


On Sun, Oct 22, 2023, 22:40 daj omu <dajomu1 at gmail.com> wrote:

> Hi,
>
> No takers on my question on how to manage faces of bad quality. I want the
> name tag, but do not want the database to become unusable.
>
> DJ
>
> On Sat, 7 Oct 2023 at 18:14, daj omu <dajomu1 at gmail.com> wrote:
>
>> 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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