SmilingWolf/wd-v1-4-moat-tagger-v2

🤗 Hugging Face 来源apache-2.0662 MBother✓ 5 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo SmilingWolf/wd-v1-4-moat-tagger-v2 ./model-folder
需要做种者 →

WD 1.4 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.