metadata
license: mit
datasets:
- deepghs/monochrome_danbooru
pipeline_tag: image-classification
library_name: dghs-imgutils
tags:
- art
- onnx
- safetensors
- emb_attachments
- wdtaggers
This is an experiment on DeepGHS's new tagger attachment training framework deepghs/emb_attachments.
Just some technical validation, not recommended for use in production.
(2025.3.7: This feature is still WIP, you can take a look at this PR and this documentation, you will like it.)
| Name | Encoder | Problem | FLOPS | Params | AUC | accuracy | loss | mAP | Labels |
|---|---|---|---|---|---|---|---|---|---|
| mlp_layer1_seed114514_dist8 | wdtagger:SmilingWolf/wd-swinv2-tagger-v3 | classification | 525.3K | 525.8K | 0.9937 | 0.9743 | 0.04483 | 0.9937 | monochrome, normal |
| mlp_layer1_seedx_dist8 | wdtagger:SmilingWolf/wd-swinv2-tagger-v3 | classification | 525.3K | 525.8K | 0.9946 | 0.9732 | 0.04058 | 0.9947 | monochrome, normal |
| mlp_layer1_seed3_dist8 | wdtagger:SmilingWolf/wd-swinv2-tagger-v3 | classification | 525.3K | 525.8K | 0.9956 | 0.9699 | 0.05301 | 0.9957 | monochrome, normal |
| mlp_layer1_seed1 | wdtagger:SmilingWolf/wd-swinv2-tagger-v3 | classification | 525.3K | 525.8K | 0.9948 | 0.9652 | 0.06904 | 0.995 | monochrome, normal |