I’m playing around with some image detection routines, trying to integrate them into my Great Image Categorization Project that’s been idling for ages now. I’ve been using Darknet as an engine and a few different pre-trained models, mostly YOLO9000 as of late. But these may change, as I’m getting some…interesting results.
Which isn’t to say that it’s all wrong and odd answers. Sometimes it’s pretty much dead-on.
And sometimes the engine just…falls asleep and gives me nothing. This merits further investigation, but I just haven’t had time yet.
The process isn’t close to perfect, of course — which is what I expected, there’s just no way of creating a perfect, automatic image indexing solution — but it is an improvement, and that’s all I was asking of this particular project. Actually, there’s a bit more to this endeavor, but that’s for another post.