I can't speak to the OPs decision, but I also have a similar script set up that adds a combination of YOLO, bakllava, tesseract etc. and also puts it along with a URI reference to the image file into a database.

I actually store the data in the EXIF as well, but the nice thing about having a database is that it's significantly faster than attempting to search hundreds of thousands of images across a nested file structure, particularly since I store a great deal of media on a NAS.

It's not as good as tags but it does pretty ok for now especially since searching for specific text in an image is something I want to do a lot. I'm trying to work on getting llama to output according to a user defined tagging vocabulary/taxonomy and ideally learn from manual classifications. Kind of a work in progress there.

This is the prompt I've been using.

"Create a structured list of all of the people and things in the image and their main properties. Include a section transcribing any text. Include a section describing if the image is a photo, comic, art, or screenshot. Do not try to interpret, infer, or give subjective opinions. Only give direct, literal, objective descriptions of what you see."