[BUG] Classification pre-trained model can make use of some serious refinement...

[derei]

It's quite obvious from the attachments what I mean.
The worst is to not recognise Enterprise (blasphemy 😆).

[IacobIonut01]

This is the best I could find - which is the same as the Google Gallery Go uses.

The next update will be a major one where it would allow for manually creating and moving categories for the ones that do not match.

I'm not in any way an AI/Machine Learning expert nor I have any significant experience with it, but from my testing this is the best I could find that categories the media in a more general manner while being fast and efficient - which as you can see can definitely sacrifice the accuracy.

I have tried over 15 models - some were too specific (and very often wrong).

[IacobIonut01]

Also creating my own model is not a priority right now

[mon-jai]

@IacobIonut01 Just out of curiosity, what model are you using right now?

[IacobIonut01]

@IacobIonut01 Just out of curiosity, what model are you using right now?

Mobile Ica 8bit with metadata

[ghost]

Have Ente's ML models been looked at? They work very well in my experience. You can search for a keyword and it will bring up all the image related to said keyword. It groups faces very well too.

Relevant links:
Ente's GitHub: https://github.com/ente-io/ente
Blog post: https://ente.io/blog/machine-learning/
Machine Learning Whitepaper: https://ente.io/ml

I could open a feature request in a seperate issue if you're interested. Good ML models really are the main reason I'm using Ente at the moment so this would be very beneficial.

[newhinton]

@IacobIonut01 So this is entirely loca? I was surprised that it immediately started classifying my images.

[IacobIonut01]

@IacobIonut01 So this is entirely loca? I was surprised that it immediately started classifying my images.

Yes, it uses Tensorflow Lite to process them in the background locally