
# Dataset of august_von_parseval/アウグスト・フォン・パーセヴァル/奥古斯特·冯·帕塞瓦尔 (Azur Lane)

This is the dataset of august_von_parseval/アウグスト・フォン・パーセヴァル/奥古斯特·冯·帕塞瓦尔 (Azur Lane), containing 394 images and their tags.

The core tags of this character are `long_hair, breasts, horns, hair_over_one_eye, large_breasts, mechanical_horns, purple_eyes, curled_horns, very_long_hair, purple_hair, between_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              |      394 | 775.37 MiB | [Download](https://huggingface.co/datasets/CyberHarem/august_von_parseval_azurlane/resolve/main/dataset-raw.zip)              | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800              |      394 | 352.81 MiB | [Download](https://huggingface.co/datasets/CyberHarem/august_von_parseval_azurlane/resolve/main/dataset-800.zip)              | IMG+TXT    | dataset with the shorter side not exceeding 800 pixels.              |
| stage3-p480-800  |     1019 | 783.64 MiB | [Download](https://huggingface.co/datasets/CyberHarem/august_von_parseval_azurlane/resolve/main/dataset-stage3-p480-800.zip)  | IMG+TXT    | 3-stage cropped dataset with the area not less than 480x480 pixels.  |
| 1200             |      394 | 640.99 MiB | [Download](https://huggingface.co/datasets/CyberHarem/august_von_parseval_azurlane/resolve/main/dataset-1200.zip)             | IMG+TXT    | dataset with the shorter side not exceeding 1200 pixels.             |
| stage3-p480-1200 |     1019 | 1.21 GiB   | [Download](https://huggingface.co/datasets/CyberHarem/august_von_parseval_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/august_von_parseval_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 |        28 | ![](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, bare_shoulders, black_thighhighs, cleavage, solo, looking_at_viewer, white_gloves, black_dress, clothing_cutout, sitting, iron_cross, one_eye_covered, detached_sleeves                                                                                                                                                                                                 |
|   1 |         6 | ![](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, bare_shoulders, black_dress, black_thighhighs, cleavage, clothing_cutout, looking_at_viewer, solo, white_gloves, blue_eyes, grey_hair, iron_cross, simple_background, white_background, bangs, blush, one_eye_covered, short_dress, parted_lips                                                                                                                         |
|   2 |        22 | ![](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, bare_shoulders, cleavage, solo, black_dress, looking_at_viewer, upper_body, clothing_cutout, white_gloves, detached_sleeves, simple_background, iron_cross, white_background, blue_eyes, bangs, parted_lips                                                                                                                                                             |
|   3 |        29 | ![](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, official_alternate_costume, solo, looking_at_viewer, black_dress, white_apron, white_thighhighs, white_dress, two-tone_dress, sleeveless_dress, maid_headdress, simple_background, clothing_cutout, one_eye_covered, strap_between_breasts, white_background, bare_shoulders, sitting, cleavage                                                                         |
|   4 |         8 | ![](samples/4/clu4-sample0.png) | ![](samples/4/clu4-sample1.png) | ![](samples/4/clu4-sample2.png) | ![](samples/4/clu4-sample3.png) | ![](samples/4/clu4-sample4.png) | 1girl, armpits, looking_at_viewer, official_alternate_costume, one_eye_covered, solo, white_dress, white_thighhighs, arms_up, full_body, garter_straps, no_shoes, sitting, black_footwear, feet, shoe_dangle, shoes_removed, thighs, two-tone_dress, couch, high_heels, ribbon_in_mouth, single_shoe, black_dress, indoors, legs, maid_headdress, plant, sideboob, soles, toes |

### Table Version

|   # |   Samples | Img-1                           | Img-2                           | Img-3                           | Img-4                           | Img-5                           | 1girl   | bare_shoulders   | black_thighhighs   | cleavage   | solo   | looking_at_viewer   | white_gloves   | black_dress   | clothing_cutout   | sitting   | iron_cross   | one_eye_covered   | detached_sleeves   | blue_eyes   | grey_hair   | simple_background   | white_background   | bangs   | blush   | short_dress   | parted_lips   | upper_body   | official_alternate_costume   | white_apron   | white_thighhighs   | white_dress   | two-tone_dress   | sleeveless_dress   | maid_headdress   | strap_between_breasts   | armpits   | arms_up   | full_body   | garter_straps   | no_shoes   | black_footwear   | feet   | shoe_dangle   | shoes_removed   | thighs   | couch   | high_heels   | ribbon_in_mouth   | single_shoe   | indoors   | legs   | plant   | sideboob   | soles   | toes   |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-----------------|:-------------------|:-----------|:-------|:--------------------|:---------------|:--------------|:------------------|:----------|:-------------|:------------------|:-------------------|:------------|:------------|:--------------------|:-------------------|:--------|:--------|:--------------|:--------------|:-------------|:-----------------------------|:--------------|:-------------------|:--------------|:-----------------|:-------------------|:-----------------|:------------------------|:----------|:----------|:------------|:----------------|:-----------|:-----------------|:-------|:--------------|:----------------|:---------|:--------|:-------------|:------------------|:--------------|:----------|:-------|:--------|:-----------|:--------|:-------|
|   0 |        28 | ![](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                  |             |             |                     |                    |         |         |               |               |              |                              |               |                    |               |                  |                    |                  |                         |           |           |             |                 |            |                  |        |               |                 |          |         |              |                   |               |           |        |         |            |         |        |
|   1 |         6 | ![](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             |              |                              |               |                    |               |                  |                    |                  |                         |           |           |             |                 |            |                  |        |               |                 |          |         |              |                   |               |           |        |         |            |         |        |
|   2 |        22 | ![](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            |                              |               |                    |               |                  |                    |                  |                         |           |           |             |                 |            |                  |        |               |                 |          |         |              |                   |               |           |        |         |            |         |        |
|   3 |        29 | ![](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                       |           |           |             |                 |            |                  |        |               |                 |          |         |              |                   |               |           |        |         |            |         |        |
|   4 |         8 | ![](samples/4/clu4-sample0.png) | ![](samples/4/clu4-sample1.png) | ![](samples/4/clu4-sample2.png) | ![](samples/4/clu4-sample3.png) | ![](samples/4/clu4-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 august\_von\_parseval/アウグスト・フォン・パーセヴァル/奥古斯特·冯·帕塞瓦尔 (Azur Lane)
=========================================================================


This is the dataset of august\_von\_parseval/アウグスト・フォン・パーセヴァル/奥古斯特·冯·帕塞瓦尔 (Azur Lane), containing 394 images and their tags.


The core tags of this character are 'long\_hair, breasts, horns, hair\_over\_one\_eye, large\_breasts, mechanical\_horns, purple\_eyes, curled\_horns, very\_long\_hair, purple\_hair, between\_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