It could be fun to see how much of this is automatable: I have a camera roll that goes back to early 2012 combined with my selections for each year. That’s a decent amount of annotated data!
I don’t think phrasing it as a classification problem is necessarily the best approach. It may be that there are many very similar images and which one out of a cluster you pick is fairly arbitrary, so any attempt at a classifying ’picked/‘not picked’ wouldn’t tell you much, but clustering/sorting still makes it much easier/pleasant to do the curation.
(Speaking of classification and images and blogs, you might find it useful to know that we just launched the InvertOrNot.com API (HN) for dark-mode images.)
It could be fun to see how much of this is automatable: I have a camera roll that goes back to early 2012 combined with my selections for each year. That’s a decent amount of annotated data!
I don’t think phrasing it as a classification problem is necessarily the best approach. It may be that there are many very similar images and which one out of a cluster you pick is fairly arbitrary, so any attempt at a classifying ’picked/‘not picked’ wouldn’t tell you much, but clustering/sorting still makes it much easier/pleasant to do the curation.
(Speaking of classification and images and blogs, you might find it useful to know that we just launched the InvertOrNot.com API (HN) for dark-mode images.)