just curiosity: AI image analysis ?

[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