| Summary: | [Feature request] use existing tags in DB as retrieval-augmented generation or tuning material when suggesting new tags for images | ||
|---|---|---|---|
| Product: | [Applications] digikam | Reporter: | sean dmr <sean> |
| Component: | Tags-AutoAssignement | Assignee: | Digikam Developers <digikam-bugs-null> |
| Status: | REPORTED --- | ||
| Severity: | wishlist | CC: | caulier.gilles |
| Priority: | NOR | ||
| Version First Reported In: | 8.8.0 | ||
| Target Milestone: | --- | ||
| Platform: | Other | ||
| OS: | Other | ||
| Latest Commit: | Version Fixed/Implemented In: | ||
| Sentry Crash Report: | |||
What do you mean by "RAG" ? (In reply to caulier.gilles from comment #1) > What do you mean by "RAG" ? Retrieval augmented generation, if it made more sense to do the primed inference at runtime rather than ahead of time with tuning. |
SUMMARY Right now, auto-tagging is limited to objects (person, dog, car). I also use more "thematic" tags, like "winter | winter light" or "alone" or "couples", etc. I imagine this is different for every user. It would be fantastic if digikam could auto-suggest tags for new images based on my historical tagging. Things like: - image content (e.g. "alone", "couple") - exif data ("winter", "nyc | soho") - combos (exif: "winter"; content: "winter light") - etc SOFTWARE/OS VERSIONS digiKam: 8.8.0 KDE Frameworks: 6.17.0 Qt: Using 6.9.1 and built against 6.9.1 macOS Sequoia (15.6) Build ABI: arm64-little_endian-lp64 Kernel: darwin 24.6.0