
# Dataset of minneapolis/ミネアポリス/明尼阿波利斯 (Azur Lane)

This is the dataset of minneapolis/ミネアポリス/明尼阿波利斯 (Azur Lane), containing 219 images and their tags.

The core tags of this character are `dark-skinned_female, dark_skin, long_hair, white_hair, red_eyes, bangs, hair_between_eyes, breasts, crossed_bangs, high_ponytail, ponytail, very_long_hair, 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              |      219 | 310.48 MiB | [Download](https://huggingface.co/datasets/CyberHarem/minneapolis_azurlane/resolve/main/dataset-raw.zip)              | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800              |      219 | 176.16 MiB | [Download](https://huggingface.co/datasets/CyberHarem/minneapolis_azurlane/resolve/main/dataset-800.zip)              | IMG+TXT    | dataset with the shorter side not exceeding 800 pixels.              |
| stage3-p480-800  |      517 | 365.92 MiB | [Download](https://huggingface.co/datasets/CyberHarem/minneapolis_azurlane/resolve/main/dataset-stage3-p480-800.zip)  | IMG+TXT    | 3-stage cropped dataset with the area not less than 480x480 pixels.  |
| 1200             |      219 | 277.08 MiB | [Download](https://huggingface.co/datasets/CyberHarem/minneapolis_azurlane/resolve/main/dataset-1200.zip)             | IMG+TXT    | dataset with the shorter side not exceeding 1200 pixels.             |
| stage3-p480-1200 |      517 | 517.13 MiB | [Download](https://huggingface.co/datasets/CyberHarem/minneapolis_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/minneapolis_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 |        60 | ![](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, bodypaint, breast_curtain, facepaint, solo, revealing_clothes, navel, underboob, looking_at_viewer, midriff, fur-trimmed_cape, highleg_panties, black_panties, fingerless_gloves, brown_cape, multicolored_cape, hood_up, loincloth, native_american, o-ring_bottom, black_gloves, brown_skirt, closed_mouth, brown_gloves, blue_cape, cowboy_shot, simple_background, white_cape, white_background |
|   1 |        12 | ![](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, facepaint, looking_at_viewer, official_alternate_costume, solo, blue_rose, bodypaint, blush, navel, white_dress, sleeveless_dress, bare_shoulders, white_gloves, closed_mouth, midriff, revealing_clothes, wedding_dress, elbow_gloves, hair_flower, veil, white_thighhighs, facial_mark, full_body, underboob, white_footwear                                                                      |
|   2 |        29 | ![](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, red_scarf, long_sleeves, plaid_scarf, solo, headphones, looking_at_viewer, black_skirt, facepaint, official_alternate_costume, pleated_skirt, red_neckerchief, cardigan, shirt, sailor_collar, blush, serafuku, closed_mouth, disposable_cup, drinking_straw, holding_cup, white_socks                                                                                                              |
|   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, baseball_cap, jeans, looking_at_viewer, skateboard, solo, blue_pants, bodypaint, facepaint, white_shirt, midriff, short_sleeves, sneakers, wristband, belt, black_headwear, black_nails, blue_background, day, official_alternate_costume, outdoors, red_footwear, smile, t-shirt, tree, wet                                                                                                        |

### Table Version

|   # |   Samples | Img-1                           | Img-2                           | Img-3                           | Img-4                           | Img-5                           | 1girl   | bodypaint   | breast_curtain   | facepaint   | solo   | revealing_clothes   | navel   | underboob   | looking_at_viewer   | midriff   | fur-trimmed_cape   | highleg_panties   | black_panties   | fingerless_gloves   | brown_cape   | multicolored_cape   | hood_up   | loincloth   | native_american   | o-ring_bottom   | black_gloves   | brown_skirt   | closed_mouth   | brown_gloves   | blue_cape   | cowboy_shot   | simple_background   | white_cape   | white_background   | official_alternate_costume   | blue_rose   | blush   | white_dress   | sleeveless_dress   | bare_shoulders   | white_gloves   | wedding_dress   | elbow_gloves   | hair_flower   | veil   | white_thighhighs   | facial_mark   | full_body   | white_footwear   | red_scarf   | long_sleeves   | plaid_scarf   | headphones   | black_skirt   | pleated_skirt   | red_neckerchief   | cardigan   | shirt   | sailor_collar   | serafuku   | disposable_cup   | drinking_straw   | holding_cup   | white_socks   | baseball_cap   | jeans   | skateboard   | blue_pants   | white_shirt   | short_sleeves   | sneakers   | wristband   | belt   | black_headwear   | black_nails   | blue_background   | day   | outdoors   | red_footwear   | smile   | t-shirt   | tree   | wet   |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:------------|:-----------------|:------------|:-------|:--------------------|:--------|:------------|:--------------------|:----------|:-------------------|:------------------|:----------------|:--------------------|:-------------|:--------------------|:----------|:------------|:------------------|:----------------|:---------------|:--------------|:---------------|:---------------|:------------|:--------------|:--------------------|:-------------|:-------------------|:-----------------------------|:------------|:--------|:--------------|:-------------------|:-----------------|:---------------|:----------------|:---------------|:--------------|:-------|:-------------------|:--------------|:------------|:-----------------|:------------|:---------------|:--------------|:-------------|:--------------|:----------------|:------------------|:-----------|:--------|:----------------|:-----------|:-----------------|:-----------------|:--------------|:--------------|:---------------|:--------|:-------------|:-------------|:--------------|:----------------|:-----------|:------------|:-------|:-----------------|:--------------|:------------------|:------|:-----------|:---------------|:--------|:----------|:-------|:------|
|   0 |        60 | ![](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                  |                              |             |         |               |                    |                  |                |                 |                |               |        |                    |               |             |                  |             |                |               |              |               |                 |                   |            |         |                 |            |                  |                  |               |               |                |         |              |              |               |                 |            |             |        |                  |               |                   |       |            |                |         |           |        |       |
|   1 |        12 | ![](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             | X           | X                |             |                |               |              |               |                 |                   |            |         |                 |            |                  |                  |               |               |                |         |              |              |               |                 |            |             |        |                  |               |                   |       |            |                |         |           |        |       |
|   2 |        29 | ![](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             | 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     |


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 minneapolis/ミネアポリス/明尼阿波利斯 (Azur Lane)
================================================


This is the dataset of minneapolis/ミネアポリス/明尼阿波利斯 (Azur Lane), containing 219 images and their tags.


The core tags of this character are 'dark-skinned\_female, dark\_skin, long\_hair, white\_hair, red\_eyes, bangs, hair\_between\_eyes, breasts, crossed\_bangs, high\_ponytail, ponytail, very\_long\_hair, 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