>>19269
>unwanted tags
I've been hearing about that issue, haven't tested that feature so I couldn't really tell you unfortunately.
>I assume this is a bunch of tagging script types?
Nope, these are small manual tagging projects aimed at fixing some inconsistencies/omitted tags. You basically give a tag query, from which users then iterate through images, and options for fixing it (remove tag X and add tag Y, add tag Z, remove tag W, ...).
Picking one at random :
https://tagme.dev/projects/hoof_tagging
The project is aimed at tagging different kind of hooves correctly. It gives you a base query (hooves -unguligrade -hooved_toes) and a few options to choose from for each image that encompass every case, along with tagging instructions.
It uses your api key to do these actions when you press the button corresponding to the option, to help automating the process. Haven't really used it though, but the source code is available.
We wouldn't have the same need for these at first since the tags are already vague and muddy compared to their autistic tagging system, but still nice to keep in mind.
>A public facing booru wouldn't be a good idea if that is the case
If we just don't broadcast the link and keep any reference to AI and only say it's a retagging effort, that could be enough? idk
various ideas:
special tags for official art for series? I'm not sure how SD would interpret a prompt "series, official art" differently than a special token "series_(official art)" or something. Since a large benefit of training like this is embedded artist styles (which includes anime styles if enough pics) it could be worth looking into it. Largely a detail though.
Finetuning autotaggers along with dataset fixing : retag a statistically representative chunk of the dataset, send it for tagger finetune, do another chunk (maybe while training? idk), repeat. Idk how tagger training/finetune works so may or may not work well.