Bug 433716

Summary: Feature Request: Search/Detect upside down images through Deep Learning
Product: [Applications] digikam Reporter: Theliel <tahariel>
Component: Tags-AutoAssignementAssignee: Digikam Developers <digikam-bugs-null>
Status: REPORTED ---    
Severity: wishlist CC: caulier.gilles
Priority: NOR    
Version First Reported In: 7.2.0   
Target Milestone: ---   
Platform: unspecified   
OS: All   
Latest Commit: Version Fixed/Implemented In:
Sentry Crash Report:

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