资源简介:
---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of mina/近衛ミナ/南 (Blue Archive)
This is the dataset of mina/近衛ミナ/南 (Blue Archive), containing 135 images and their tags.
The core tags of this character are `long_hair, breasts, halo, sunglasses, green_hair, hair_over_one_eye, eyewear_on_head, red_eyes, hair_ornament, large_breasts, hair_rings`, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
## List of Packages
| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 135 | 250.14 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mina_bluearchive/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 1200 | 135 | 207.60 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mina_bluearchive/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 366 | 415.48 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mina_bluearchive/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
### Load Raw Dataset with Waifuc
We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code
```python
import os
import zipfile
from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource
# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/mina_bluearchive',
repo_type='dataset',
filename='dataset-raw.zip',
)
# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)
# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```
## List of Clusters
List of tag clustering result, maybe some outfits can be mined here.
### Raw Text Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 26 |  |  |  |  |  | 1girl, black_necktie, high-waist_pants, looking_at_viewer, white_shirt, black_gloves, black_pants, solo, jacket, long_sleeves, coat_on_shoulders, collared_shirt, simple_background, white_background, closed_mouth, hair_stick, striped_coat, holding |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | black_necktie | high-waist_pants | looking_at_viewer | white_shirt | black_gloves | black_pants | solo | jacket | long_sleeves | coat_on_shoulders | collared_shirt | simple_background | white_background | closed_mouth | hair_stick | striped_coat | holding |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:----------------|:-------------------|:--------------------|:--------------|:---------------|:--------------|:-------|:---------|:---------------|:--------------------|:-----------------|:--------------------|:-------------------|:---------------|:-------------|:---------------|:----------|
| 0 | 26 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X |