
# Dataset of u_47/U-47 (Azur Lane)

This is the dataset of u_47/U-47 (Azur Lane), containing 152 images and their tags.

The core tags of this character are `black_hair, long_hair, breasts, red_eyes, multicolored_hair, streaked_hair, hair_between_eyes, white_hair, one_side_up, earrings, bangs, large_breasts`, 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              |      152 | 198.92 MiB | [Download](https://huggingface.co/datasets/CyberHarem/u_47_azurlane/resolve/main/dataset-raw.zip)              | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800              |      152 | 114.40 MiB | [Download](https://huggingface.co/datasets/CyberHarem/u_47_azurlane/resolve/main/dataset-800.zip)              | IMG+TXT    | dataset with the shorter side not exceeding 800 pixels.              |
| stage3-p480-800  |      376 | 251.63 MiB | [Download](https://huggingface.co/datasets/CyberHarem/u_47_azurlane/resolve/main/dataset-stage3-p480-800.zip)  | IMG+TXT    | 3-stage cropped dataset with the area not less than 480x480 pixels.  |
| 1200             |      152 | 176.45 MiB | [Download](https://huggingface.co/datasets/CyberHarem/u_47_azurlane/resolve/main/dataset-1200.zip)             | IMG+TXT    | dataset with the shorter side not exceeding 1200 pixels.             |
| stage3-p480-1200 |      376 | 350.40 MiB | [Download](https://huggingface.co/datasets/CyberHarem/u_47_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/u_47_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 |        22 | ![](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, black_one-piece_swimsuit, looking_at_viewer, solo, black_panties, iron_cross, black_gloves, cleavage, bare_shoulders, elbow_gloves, bandana, unzipped, covered_mouth, black_leotard, blush, black_thighhighs, covered_navel, simple_background, cross_earrings, zipper, white_background, bridal_gauntlets, clothing_cutout, scarf, sidelocks, meme_attire, cowboy_shot, side_ponytail, arm_strap, eyes_visible_through_hair |
|   1 |        10 | ![](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, black_one-piece_swimsuit, black_panties, iron_cross, looking_at_viewer, solo, black_thighhighs, elbow_gloves, bandana, cleavage, jewelry, medium_breasts, torpedo, unzipped, air_bubble, ass, bridal_gauntlets, underwater                                                                                                                                                                                                   |
|   2 |        31 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | 1girl, solo, looking_at_viewer, cleavage, glasses, navel, tank_top, jacket, black-framed_eyewear, bike_shorts, jewelry, iron_cross, off_shoulder, blush, under-rim_eyewear, very_long_hair, bare_shoulders, character_name, cross_choker, hair_ornament                                                                                                                                                                             |
|   3 |         7 | ![](samples/3/clu3-sample0.png) | ![](samples/3/clu3-sample1.png) | ![](samples/3/clu3-sample2.png) | ![](samples/3/clu3-sample3.png) | ![](samples/3/clu3-sample4.png) | 1girl, black_gloves, fingerless_gloves, short_sleeves, sidelocks, solo, cleavage, looking_at_viewer, navel, wine_glass, holding_cup, midriff, sitting, barrel, black_footwear, blush, indoors, jewelry, window, black_nails, crossed_bangs, iron_cross, knee_boots, miniskirt, nail_polish, open_mouth, pleated_skirt, red_skirt, side_ponytail, stomach, wine_bottle                                                               |

### Table Version

|   # |   Samples | Img-1                           | Img-2                           | Img-3                           | Img-4                           | Img-5                           | 1girl   | black_one-piece_swimsuit   | looking_at_viewer   | solo   | black_panties   | iron_cross   | black_gloves   | cleavage   | bare_shoulders   | elbow_gloves   | bandana   | unzipped   | covered_mouth   | black_leotard   | blush   | black_thighhighs   | covered_navel   | simple_background   | cross_earrings   | zipper   | white_background   | bridal_gauntlets   | clothing_cutout   | scarf   | sidelocks   | meme_attire   | cowboy_shot   | side_ponytail   | arm_strap   | eyes_visible_through_hair   | jewelry   | medium_breasts   | torpedo   | air_bubble   | ass   | underwater   | glasses   | navel   | tank_top   | jacket   | black-framed_eyewear   | bike_shorts   | off_shoulder   | under-rim_eyewear   | very_long_hair   | character_name   | cross_choker   | hair_ornament   | fingerless_gloves   | short_sleeves   | wine_glass   | holding_cup   | midriff   | sitting   | barrel   | black_footwear   | indoors   | window   | black_nails   | crossed_bangs   | knee_boots   | miniskirt   | nail_polish   | open_mouth   | pleated_skirt   | red_skirt   | stomach   | wine_bottle   |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:---------------------------|:--------------------|:-------|:----------------|:-------------|:---------------|:-----------|:-----------------|:---------------|:----------|:-----------|:----------------|:----------------|:--------|:-------------------|:----------------|:--------------------|:-----------------|:---------|:-------------------|:-------------------|:------------------|:--------|:------------|:--------------|:--------------|:----------------|:------------|:----------------------------|:----------|:-----------------|:----------|:-------------|:------|:-------------|:----------|:--------|:-----------|:---------|:-----------------------|:--------------|:---------------|:--------------------|:-----------------|:-----------------|:---------------|:----------------|:--------------------|:----------------|:-------------|:--------------|:----------|:----------|:---------|:-----------------|:----------|:---------|:--------------|:----------------|:-------------|:------------|:--------------|:-------------|:----------------|:------------|:----------|:--------------|
|   0 |        22 | ![](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                   | X                | X        | X                  | X                  | X                 | X       | X           | X             | X             | X               | X           | X                           |           |                  |           |              |       |              |           |         |            |          |                        |               |                |                     |                  |                  |                |                 |                     |                 |              |               |           |           |          |                  |           |          |               |                 |              |             |               |              |                 |             |           |               |
|   1 |        10 | ![](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            |           |         |            |          |                        |               |                |                     |                  |                  |                |                 |                     |                 |              |               |           |           |          |                  |           |          |               |                 |              |             |               |              |                 |             |           |               |
|   2 |        31 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | X       |                            | X                   | X      |                 | X            |                | X          | X                |                |           |            |                 |                 | X       |                    |                 |                     |                  |          |                    |                    |                   |         |             |               |               |                 |             |                             | X         |                  |           |              |       |              | X         | X       | X          | X        | X                      | X             | X              | X                   | X                | X                | X              | X               |                     |                 |              |               |           |           |          |                  |           |          |               |                 |              |             |               |              |                 |             |           |               |
|   3 |         7 | ![](samples/3/clu3-sample0.png) | ![](samples/3/clu3-sample1.png) | ![](samples/3/clu3-sample2.png) | ![](samples/3/clu3-sample3.png) | ![](samples/3/clu3-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               | 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 u\_47/U-47 (Azur Lane)
=================================


This is the dataset of u\_47/U-47 (Azur Lane), containing 152 images and their tags.


The core tags of this character are 'black\_hair, long\_hair, breasts, red\_eyes, multicolored\_hair, streaked\_hair, hair\_between\_eyes, white\_hair, one\_side\_up, earrings, bangs, large\_breasts', 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