[P] I built an open SotA image tagging model to do what CLIP won't

I'm a hobbyist ML researcher and finally, after a year of work, built a state of the art machine vision model from scratch. It's ViT-B/16 based, 448x448x3 input, 91M parameters, trained for 660M samples, with multi-label classification as the target task, on over 5000 unique tags.

All the big foundation vision models today were trained on heavily filtered datasets, greatly limiting the concepts they can represent, in line with arbitrary sets of rules for what is deemed "wholesome" by leading …

art classification clip image machine machinelearning machine vision parameters researcher sota state state of the art tagging tags vision vit work