bluzen/bluzen-tagger-v1
Image Classification
Multi-label illustration tagger over a 12k-tag vocabulary, trained on the Aurora corpus with a ViT-L backbone.
Everything needed to tag an illustration corpus: the tagger, the vocabulary it was trained on, the benchmark it is measured against, and a demo to sanity-check all three.
Image Classification
Multi-label illustration tagger over a 12k-tag vocabulary, trained on the Aurora corpus with a ViT-L backbone.
Image Classification
A 1.2M-row quality-filtered slice of Aurora. The subset most of our own training runs actually use.
Image Classification
Held-out tagging benchmark with per-tag frequency strata and a published error analysis for every baseline.
Image Classification
Drop an image in and read the tags back, with per-tag confidence and the threshold exposed as a slider.