
# Dataset of argus/アーガス/百眼巨人 (Azur Lane)

This is the dataset of argus/アーガス/百眼巨人 (Azur Lane), containing 25 images and their tags.

The core tags of this character are `breasts, long_hair, large_breasts, bangs, blue_eyes, braid, very_long_hair, crown, white_hair, grey_hair, bow, hair_bow`, 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              |       25 | 45.13 MiB | [Download](https://huggingface.co/datasets/CyberHarem/argus_azurlane/resolve/main/dataset-raw.zip)              | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800              |       25 | 20.45 MiB | [Download](https://huggingface.co/datasets/CyberHarem/argus_azurlane/resolve/main/dataset-800.zip)              | IMG+TXT    | dataset with the shorter side not exceeding 800 pixels.              |
| stage3-p480-800  |       69 | 48.61 MiB | [Download](https://huggingface.co/datasets/CyberHarem/argus_azurlane/resolve/main/dataset-stage3-p480-800.zip)  | IMG+TXT    | 3-stage cropped dataset with the area not less than 480x480 pixels.  |
| 1200             |       25 | 37.34 MiB | [Download](https://huggingface.co/datasets/CyberHarem/argus_azurlane/resolve/main/dataset-1200.zip)             | IMG+TXT    | dataset with the shorter side not exceeding 1200 pixels.             |
| stage3-p480-1200 |       69 | 72.71 MiB | [Download](https://huggingface.co/datasets/CyberHarem/argus_azurlane/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/argus_azurlane',
    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 |        13 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | 1girl, solo, cleavage, looking_at_viewer, white_dress, white_background, white_gloves, simple_background, clothing_cutout, elbow_gloves, necklace, closed_mouth, fingerless_gloves, bare_shoulders, blush, gem, mini_crown, smile                                                                |
|   1 |         8 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | 1girl, collared_shirt, long_sleeves, looking_at_viewer, solo, white_shirt, black_skirt, cleavage, pleated_skirt, black_pantyhose, partially_unbuttoned, sitting, black_bow, blush, closed_mouth, no_shoes, ribbon, simple_background, white_background, grey_eyes, indoors, open_clothes, thighs |

### Table Version

|   # |   Samples | Img-1                           | Img-2                           | Img-3                           | Img-4                           | Img-5                           | 1girl   | solo   | cleavage   | looking_at_viewer   | white_dress   | white_background   | white_gloves   | simple_background   | clothing_cutout   | elbow_gloves   | necklace   | closed_mouth   | fingerless_gloves   | bare_shoulders   | blush   | gem   | mini_crown   | smile   | collared_shirt   | long_sleeves   | white_shirt   | black_skirt   | pleated_skirt   | black_pantyhose   | partially_unbuttoned   | sitting   | black_bow   | no_shoes   | ribbon   | grey_eyes   | indoors   | open_clothes   | thighs   |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-------|:-----------|:--------------------|:--------------|:-------------------|:---------------|:--------------------|:------------------|:---------------|:-----------|:---------------|:--------------------|:-----------------|:--------|:------|:-------------|:--------|:-----------------|:---------------|:--------------|:--------------|:----------------|:------------------|:-----------------------|:----------|:------------|:-----------|:---------|:------------|:----------|:---------------|:---------|
|   0 |        13 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | X       | X      | X          | X                   | X             | X                  | X              | X                   | X                 | X              | X          | X              | X                   | X                | X       | X     | X            | X       |                  |                |               |               |                 |                   |                        |           |             |            |          |             |           |                |          |
|   1 |         8 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | X       | X      | X          | X                   |               | X                  |                | X                   |                   |                |            | X              |                     |                  | X       |       |              |         | X                | X              | X             | X             | X               | X                 | X                      | X         | X           | X          | X        | X           | X         | X              | X        |


task_categories:text-to-image size_categories:n<1K license:mit art not-for-all-audiences region:us
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us 

Dataset of argus/アーガス/百眼巨人 (Azur Lane)
======================================


This is the dataset of argus/アーガス/百眼巨人 (Azur Lane), containing 25 images and their tags.


The core tags of this character are 'breasts, long\_hair, large\_breasts, bangs, blue\_eyes, braid, very\_long\_hair, crown, white\_hair, grey\_hair, bow, hair\_bow', 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(huggingface organization).


List of Packages
----------------



### Load Raw Dataset with Waifuc


We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code


List of Clusters
----------------


List of tag clustering result, maybe some outfits can be mined here.


### Raw Text Version



### Table Version




### Load Raw Dataset with Waifuc


We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code


List of Clusters
----------------


List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version ### Table Version
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us 
 ### Load Raw Dataset with Waifuc


We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code


List of Clusters
----------------


List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version ### Table Version
passage: TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us 
### Load Raw Dataset with Waifuc


We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code


List of Clusters
----------------


List of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version