https://bugs.kde.org/show_bug.cgi?id=433716
Bug ID: 433716
Summary: Feature Request: Search/Detect upside down images
through Deep Learning
Product: digikam
Version: unspecified
Platform: unspecified
OS: All
Status: REPORTED
Severity: wishlist
Priority: NOR
Component: general
Assignee: digikam-bugs-n...@kde.org
Reporter: tahar...@gmail.com
Target Milestone: ---
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.
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