---
title: eattach_monochrome_experiments
canonical_url: "https://www.modelscope.cn/models/deepghs/eattach_monochrome_experiments"
md_url: "https://www.modelscope.cn/models/deepghs/eattach_monochrome_experiments.md"
repository: deepghs/eattach_monochrome_experiments
last_updated: 2025-03-20
license: mit
pipeline_tag: image-classification
tasks:
  - image-classification
parameters: 2.1M
tensor_type:
  - F32
library_name:
  - onnx
  - safetensors
  - pytorch
frameworks:
  - pytorch
downloads: 679
stars: 0
tags:
  - art
  - onnx
  - safetensors
  - emb_attachments
  - wdtaggers
---

# eattach_monochrome_experiments

> eattach_monochrome_experiments - deepghs 在 ModelScope 开源的模型。This is an experiment on DeepGHS's new tagger attachment training framework deepghs/embattachments.

deepghs/eattach_monochrome_experiments 是 ModelScope 魔搭社区上的 2.1M 参数image-classification模型，采用 mit 许可。

- **Repository**: deepghs/eattach_monochrome_experiments
- **License**: mit
- **Tasks**: image-classification
- **Parameters**: 2.1M
- **Tags**: art, onnx, safetensors, emb_attachments, wdtaggers
- **Downloads**: 679
- **Stars**: 0
- **Last updated**: 2025-03-20

Source: https://www.modelscope.cn/models/deepghs/eattach_monochrome_experiments

---

This is an experiment on DeepGHS's new tagger attachment training framework [deepghs/emb_attachments](https://github.com/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](https://github.com/deepghs/imgutils/pull/152) and [this documentation](https://dghs-imgutils.deepghs.org/dev/attachments/api_doc/tagging/wd14.html#get-wd14-tags), 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 |
