| Summary: | Suggestion : import tags from thesaurus | ||
|---|---|---|---|
| Product: | [Applications] digikam | Reporter: | jeanjacques.monot |
| Component: | Tags-Keywords | Assignee: | Digikam Developers <digikam-bugs-null> |
| Status: | RESOLVED FIXED | ||
| Severity: | wishlist | CC: | caulier.gilles, metzpinguin |
| Priority: | NOR | ||
| Version First Reported In: | 8.2.0 | ||
| Target Milestone: | --- | ||
| Platform: | Other | ||
| OS: | Other | ||
| Latest Commit: | Version Fixed/Implemented In: | 8.9.0 | |
| Sentry Crash Report: | |||
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Description
jeanjacques.monot
2023-11-26 08:25:31 UTC
What's the purpose of this feature ? To bloat database with per-registred tags hierarchies ? Gilles Caulier *** This bug has been marked as a duplicate of bug 444966 *** (In reply to caulier.gilles from comment #1) > What's the purpose of this feature ? To bloat database with per-registred > tags hierarchies ? > > Gilles Caulier Dear Gilles I would not say "bloat", which may refer to a high, useless, volume of data. It is much more to be considered as an helpful reference for tagging photos with accurate and precise information (for example in my case, doing a lot of photos in Paris and other towns in France, it is useful to directly have the list of streets or remarkable places). I will then follow bug 444966. Best regards. Hi Jean Jacques, The auto-tags assignment feature based on IA introduced in next 8.3.0 do not solve this issue ? The deep learning neural network will analyze image contents and recognize subjects of photography in goal to tag item in the database accordingly, following a taxonomy logic. All is explained in details to the student blog entry here : https://community.kde.org/GSoc/2023/StatusReports/QuocHungTran#Add_Automatic_Tags_Assignment_Tools_and_Improve_Face_Recognition_Engine_for_digiKam Best regards Gilles Caulier Fixed with bug 444966 |