Face recognition - avoid messing up the data

[Ian McCarthy]

I have a major problem with face tagging. Since the early days of 
Digikam I have been using face tag to mark people. I can recognise the 
back of people, and use lots of other methods, such as the clothes they 
are wearing etc. So I have a large number of images 50K plus so marked.
I knew this problem would be coming towards me, and that software would 
appear that would help me, excellent. So I need a method of grading the 
quality of the face tags, such that the software uses the ones that it 
can cope with, and I can continue to mark people in images, including 
the backs of there heads etc.

This I suspect would help a lot of people,and is a facility request.
-- 
cheers IAn MAc

On 23/10/2023 12:48, Gilles Caulier wrote:
> hi,
>
> yes there are :
> https://docs.digikam.org/en/maintenance_tools/maintenance_quality.html
>
> It must be used before to process face-management.
>
> Gilles Caulier
>
> Le lun. 23 oct. 2023 à 13:20, daj omu <dajomu1 at gmail.com> a écrit :
>> Hi,
>>
>> Sorry. Your answer ended up in the spam folder. I guess that is one solution, but I do not know what is good enough or too bad.
>> Does not DK have an image quality sorter? I would assume that DK «knows» the quality of a picture and should be able to automatically know if the image is too blurry or whatever?
>>
>> Dajomu
>>
>> On Mon, 23 Oct 2023 at 06:07, Helen Jelen <inomniapar4tus at gmail.com> wrote:
>>> 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"...
>>>>>>>
>>>>>>>
>>>>>>>