Bug 433716 - Feature Request: Search/Detect upside down images through Deep Learning
Summary: Feature Request: Search/Detect upside down images through Deep Learning
Status: REPORTED
Alias: None
Product: digikam
Classification: Applications
Component: Tags-AutoAssignement (show other bugs)
Version: 7.2.0
Platform: unspecified All
: NOR wishlist
Target Milestone: ---
Assignee: Digikam Developers
URL:
Keywords:
Depends on:
Blocks:
 
Reported: 2021-02-27 19:39 UTC by Theliel
Modified: 2023-12-01 11:48 UTC (History)
1 user (show)

See Also:
Latest Commit:
Version Fixed In:
Sentry Crash Report:


Attachments

Note You need to log in before you can comment on or make changes to this bug.
Description Theliel 2021-02-27 19:39:27 UTC
SUMMARY

It is amazing what can be achieved with Deep Learning these days. The improvement in face detection with YOLO has been incredible, and it has brought this idea back to me again.

Apply Deep Learning to search / detect images that are upside down (or rotated), and thus be able to later select all of them (or those that one needs / prefers) to correct them.

I have been seeing that there are many projects in this regard, and quite well documented. Perhaps some owned "sanitized" albums (with correctly oriented images) could be used as training data for the neural network, and later applied to the rest of the library.

In my tests, this would also improve facial recognition (not detection). Those images that are already tagged and that are still rotated, greatly reduce the precision when used as training data for recognition.
Comment 1 caulier.gilles 2023-12-01 11:48:17 UTC
Maik,

This is a task for the Neural Network used to auto-tag images. I don't know if the current models are able to detect this upside-down photograph.

Gilles