
# Dataset of birmingham/バーミンガム/伯明翰 (Azur Lane)

This is the dataset of birmingham/バーミンガム/伯明翰 (Azur Lane), containing 26 images and their tags.

The core tags of this character are `bangs, red_hair, hair_ornament, breasts, red_eyes, short_hair, sidelocks, blunt_bangs, hairband, medium_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              |       26 | 28.40 MiB | [Download](https://huggingface.co/datasets/CyberHarem/birmingham_azurlane/resolve/main/dataset-raw.zip)              | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800              |       26 | 18.80 MiB | [Download](https://huggingface.co/datasets/CyberHarem/birmingham_azurlane/resolve/main/dataset-800.zip)              | IMG+TXT    | dataset with the shorter side not exceeding 800 pixels.              |
| stage3-p480-800  |       53 | 33.93 MiB | [Download](https://huggingface.co/datasets/CyberHarem/birmingham_azurlane/resolve/main/dataset-stage3-p480-800.zip)  | IMG+TXT    | 3-stage cropped dataset with the area not less than 480x480 pixels.  |
| 1200             |       26 | 25.59 MiB | [Download](https://huggingface.co/datasets/CyberHarem/birmingham_azurlane/resolve/main/dataset-1200.zip)             | IMG+TXT    | dataset with the shorter side not exceeding 1200 pixels.             |
| stage3-p480-1200 |       53 | 44.77 MiB | [Download](https://huggingface.co/datasets/CyberHarem/birmingham_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/birmingham_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, dress, solo, bare_shoulders, black_gloves, looking_at_viewer, half_gloves, cape, simple_background, blue_hairband, blush, panties, short_hair_with_long_locks, black_thighhighs, white_background                                                                                   |
|   1 |         5 | ![](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, goggles_on_head, solo, arm_strap, holding, looking_at_viewer, outdoors, white_one-piece_swimsuit, bare_shoulders, closed_mouth, orange_hair, short_hair_with_long_locks, thigh_strap, water, blue_sky, covered_navel, day, legs, orange_eyes, skindentation, splashing, thighs, wet |
|   2 |         5 | ![](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, fur_trim, hair_flower, looking_at_viewer, oil-paper_umbrella, sash, chinese_clothes, double_bun, floral_print, full_body, holding_umbrella, standing, wide_sleeves, yellow_eyes, long_sleeves, parted_lips, simple_background, snowing, tree, white_background                |

### Table Version

|   # |   Samples | Img-1                           | Img-2                           | Img-3                           | Img-4                           | Img-5                           | 1girl   | dress   | solo   | bare_shoulders   | black_gloves   | looking_at_viewer   | half_gloves   | cape   | simple_background   | blue_hairband   | blush   | panties   | short_hair_with_long_locks   | black_thighhighs   | white_background   | goggles_on_head   | arm_strap   | holding   | outdoors   | white_one-piece_swimsuit   | closed_mouth   | orange_hair   | thigh_strap   | water   | blue_sky   | covered_navel   | day   | legs   | orange_eyes   | skindentation   | splashing   | thighs   | wet   | fur_trim   | hair_flower   | oil-paper_umbrella   | sash   | chinese_clothes   | double_bun   | floral_print   | full_body   | holding_umbrella   | standing   | wide_sleeves   | yellow_eyes   | long_sleeves   | parted_lips   | snowing   | tree   |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------|:-------|:-----------------|:---------------|:--------------------|:--------------|:-------|:--------------------|:----------------|:--------|:----------|:-----------------------------|:-------------------|:-------------------|:------------------|:------------|:----------|:-----------|:---------------------------|:---------------|:--------------|:--------------|:--------|:-----------|:----------------|:------|:-------|:--------------|:----------------|:------------|:---------|:------|:-----------|:--------------|:---------------------|:-------|:------------------|:-------------|:---------------|:------------|:-------------------|:-----------|:---------------|:--------------|:---------------|:--------------|:----------|:-------|
|   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                  |                   |             |           |            |                            |                |               |               |         |            |                 |       |        |               |                 |             |          |       |            |               |                      |        |                   |              |                |             |                    |            |                |               |                |               |           |        |
|   1 |         5 | ![](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     |            |               |                      |        |                   |              |                |             |                    |            |                |               |                |               |           |        |
|   2 |         5 | ![](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         | 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 birmingham/バーミンガム/伯明翰 (Azur Lane)
============================================


This is the dataset of birmingham/バーミンガム/伯明翰 (Azur Lane), containing 26 images and their tags.


The core tags of this character are 'bangs, red\_hair, hair\_ornament, breasts, red\_eyes, short\_hair, sidelocks, blunt\_bangs, hairband, medium\_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