wd-v1-4-moat-tagger-v2

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匿名用户2024年07月31日
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所属分类ai、other
开源地址https://modelscope.cn/models/fireicewolf/wd-v1-4-moat-tagger-v2
授权协议apache-2.0

作品详情

WD 1.4 MOAT Tagger V2

This is a fork version from https://huggingface.co/SmilingWolf/wd-v1-4-moat-tagger-v2

Supports ratings, characters and general tags.

Trained using https://github.com/SmilingWolf/SW-CV-ModelZoo.
TPUs used for training kindly provided by the TRC program.

Dataset

Last image id: 5944504
Trained on Danbooru images with IDs modulo 0000-0899.
Validated on images with IDs modulo 0950-0999.
Images with less than 10 general tags were filtered out.
Tags with less than 600 images were filtered out.

Validation results

P=R: threshold = 0.3771, F1 = 0.6911

Paper

MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models

Final words

Subject to change and updates.
Downstream users are encouraged to use tagged releases rather than relying on the head of the repo.

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