OpenAI examples

[Hert]

Overall I have found that OpenAI gives extensive details when analyzing an image.

OpenAI is not free and requires an API key. Pricing is pretty affordable. In general it costs $1 to analyze over 8000 images.

As soon as an image is analyzed, all of its details become searchable using the search bar or advanced search.
This helps with the cataloging of the images as the descriptions hold extensive details, reducing the time needed for additional cataloging.


Here's an example of analyzing an image with an animal in its natural habitat.

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OpenAI can even tell you what family an animal belongs to. Very useful if you run into that one exotic animal and you don't know what you've photographed:

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It can also identify car brands for you. Notice how it also describes the clothing of the people sitting inside the car. All details that help in searches.

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Or help you with landmarks.

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Or give you background information about buildings

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And here it gives details about a flower, even identified its family.

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Getting curious what OpenAI can do for you, feel free to attach an image here and I can run it through OpenAI and show you the results.

[andrew.heard]

There was no reply to my post @ viewtopic.php?p=138663#p138663, so I'll try here - I've now spent a few hours with OpenAI with somewhat frustrating results (so far) - new labels are assigned under Events, Objects, Miscellaneous rather than under a top level "AI Labels" category like implied in the Artificial Intelligence manual PDF which makes maintenance tedious & error prone. Is that expected?

I moved the new AI labels to more consistent parts of my existing catalog. I then tried a 2nd "Analyse with AI" operation of the same thumbnail, but a duplicate set of AI labels were created, which is annoying. Is that expected?

I have labels with black, white and cyan triangles in the LAP (attached). Cyan is clearly Google Vision labels, but I can't figure out the difference between the black & white ones. The calaloging manual has examples of green, white & cyan triangles, but I can't find any explanation. There are no settings in Preferences to give me clues.

In additional, I got an exception messagebox while trying to saving the thumbnail that I have no idea how to handle - also attached.

I can see the potential but....

[Mke]

I have labels with black, white and cyan triangles in the LAP (attached). Cyan is clearly Google Vision labels, but I can't figure out the difference between the black & white ones. The calaloging manual has examples of green, white & cyan triangles, but I can't find any explanation. There are no settings in Preferences to give me clues.

Maybe this topic helps: Triangle in catalog label corner? [solved]?

There was no reply to my post @ viewtopic.php?p=138663#p1386633

Maybe nobody else is using AI?

I did try using Qllama as the processing is local (I'm not going to be using Open AI, which isn't), but I only have my laptop available at the moment and it ground to a halt.

Consequently my only experience of the technology so far is from a few years ago, when I fed in a few sample images to some online system. My impression then was that its tags were poorly targeted (to many and sometimes incorrect), and the descriptions too wordy; in short, it wasn't capable of understanding what was important in the image. The only use I could see at that stage for a photographer was if you wanted to submit (spam?) the images to a stock photo agency, so that they turn up in every slightly relevant search. Hopefully it's improved since then.

[andrew.heard]

Maybe this topic helps: Triangle in catalog label corner? [solved]?

Thanks Mke. I haven't intentionally set custom catalog colors, and now that I check them, none have the "Use custom colors" box checked. So still a mystery.

I did try using Qllama as the processing is local (I'm not going to be using Open AI, which isn't), but I only have my laptop available at the moment and it ground to a halt.

A forum search for "OpenAI" showed 7 results. None of much help. But, my experience & thoughts so far are a bit like yours.