just curiosity: AI image analysis ?

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Did you do recognition down to what level of understanding? For  
example, for plants / flowers, down to species level (of family, or  
genus), or for mountains in the background down to name and location?

Kind Regards


Quoting William Allen <dk at ballen.fastmail.fm>:

> I have used ollama with the granite3.2-vision model to do this  
> locally with pretty good preliminary results. Obviously it’s not  
> integrated with digikam, but I think with some prompt tweaking one  
> could get it to produce some usable and searchable content about  
> images without exposing them to the world.
>
> Bill
>
> On 29 Mar 2025, at 14:26, Daniel Bauer wrote:
>
>> Hi,
>>
>> I read now and then here about face recognition. For me personally  
>> this is not interesting, as my archive is ordered by persons.
>>
>> But what would be really fantastic would be "general image content  
>> analysis" using *local* AI.
>>
>> Like, for example, searching for images that contain
>> - a group of persons
>> - mountains in the background
>> - a person with a teddybaer
>> - somebody wearing a red shirt
>> - somebody sleeping/laughing/sitting/running
>> etc.
>>
>> Of course, google, fakebook, X etc. can analyze the content of  
>> images this way, and very precise, but the (poor) tools available  
>> for the public only work with uploaded images, which, besides of  
>> all the data protection questions, means "giving them away".
>>
>> A local AI (without uploading any data to anywhere) with such  
>> capabilities would be simply mind-blowing.
>>
>> I have no idea if something like this is even possible, of if it is  
>> already planned for the future of digikam, but maybe my post here  
>> brings somebody to the idea, and who knows?
>>
>> Have a nice weekend.
>>
>> Daniel
>>
>>
>>
>>
>> --
>> Daniel Bauer photographer Basel Málaga
>> Twitter: @Marsfotografo (often explicit nudes)
>> https://www.patreon.com/danielbauer
>> https://www.daniel-bauer.com (nudes)