just curiosity: AI image analysis ?

[Jens Benecke]

Hello,

I think this goes in the direction of something I proposed a few years ago.

Situation:

- There are a lot of online services offering specialized AI based 
$WHATEVER. Tagging, background removal, you name it.
- Most of these have an API where you can call some HTTP endpoint and 
either upload a (possibly reduced) version of your image, or a part of it.
- They then - usually - return an image or a set of text based data, 
like tags or free text.

Digikam needs a system that can use these APIs in a flexible way, e.g. 
by incorporating scripts directly integrated into the app. There is a 
scripting interface but it cannot feed data back into Digikam or replace 
images.

https://bugs.kde.org/show_bug.cgi?id=384444

At the time, this idea was rejected for privacy reasons.
But IMHO, if you want to do specialized tagging using an online service, 
and remain API agnostic within Digikam, this is not necessarily a problem.

Maybe reconsider?

Regards,
Jens


Am 31.03.25 um 21:49 schrieb support at hausoos.com:
> Yes, of course! But if we had a way to integrate specialised image 
> recognition, running locally or through an API on connection, it would 
> be interesting for some people (of course, niche groups, but still 
> ....).For example, Plantnet has an API which can connect to the AI 
> recognition engine. Plantnet can reach > 85% accuracy with good set of 
> pictures for example (that varies across taxa, and across geographies).
>
> There are quite a few other models, such as Flora Incognita, which are 
> very good for the plants in their database and have versions of te 
> models weighted that can be downloaded and run locally.
>
> That said, it would be very interesting to see whether it is possible 
> to at least identify down to the genus level, even if not the species.
>
> The same could be done for other categories (trains, for example, for 
> those who are passionate about them, cars, buildings, fossils, etc. 
> .... :-) ....)
>
> Kind Regards
>
> Corrado
>
> Quoting Remco Viëtor <remco.vietor at wanadoo.fr>:
>
>> On dimanche 30 mars 2025 15:45:00 heure d’été d’Europe centrale Bill 
>> Allen
>> wrote:
>>> I did a couple of tests using the python API in which I fed my ex if
>>> metadata as part of the prompt which helped, but it's not going to work
>>> like, say, plant net for identification of plants.
>>
>> There are two big differences between systems like plantnet and digikam:
>> - in Digikam, the whole model is *local*, systems like plantnet can 
>> have many
>> more resources available;
>> - Plantnet is a *specialised* system, Digikam would need a general 
>> system
>>
>> Note that Plantnet, while good, can give wrong results. Other such 
>> systems can
>> do a lot worse (some specialised systems barely reach 50% success, 
>> and those
>> are the good ones *for their domain*).
>>
>> Remco
>
>
>
-- 
Regards, Jens