Total AI beginner with a 25-year photography archive—is this useful for training?

John6666:

corpus because you have layered PSDs and alpha masks. It is a benchmark corpus because you have a smaller closed-loop subset with raw-to-layout lineage. And it is a metadata/provenance corpus because you have capture device, optics, lighting, color workflow, layout references, and rights history attached to many scenes. Modern image workflows are already built around adapting strong pretrained models rather than starting from scratch, which is exactly why this kind of structured archive can matter so much. (Hugging Face)

Why your archive is unusually strong

Most image archives preserve only the final image. Yours appears to preserve part of the process graph :

• capture,
• layered edit,
• masks,

Don’t post ‘what your llm says’ to a forum. We all have llm’s. We can get their opinions at the press of a button.

You copying and pasting LLM slop is not adding value.