[aanet]

Kudos on the launch.

This would be useful for somebody like me (254 GB out of 256 GB used!)

Would love to hear more about how the on-device AI model works... What is it? What does it look for ? how does it score? How does the user specify which are "similar photos to look at" ? etc etc .

Thanks

[nicklewers]

Thanks! So yeah its all on-device using Apples Vision framework. I use feature prints and embeddings + face counts + person counts + a few other properties to cluster similar photos, then score each one based on sharpness, exposure, face clarity, composition, emotional score, and Apple’s aesthetic score. Each of those is weighted a bit differently.

You don’t need to define “similar” yourself, you select i.e. 100 photos from your library, then it figures that out the groups by itself, and there’s the review screen so you can confirm the decisions made before deleting anything.