
# Dataset of elbe/エルベ/易北 (Azur Lane)

This is the dataset of elbe/エルベ/易北 (Azur Lane), containing 218 images and their tags.

The core tags of this character are `long_hair, breasts, purple_eyes, multicolored_hair, large_breasts, streaked_hair, white_hair, black_hair, fang, skin_fang, hat, black_headwear, peaked_cap, very_long_hair, ribbon`, 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              |      218 | 421.75 MiB | [Download](https://huggingface.co/datasets/CyberHarem/elbe_azurlane/resolve/main/dataset-raw.zip)              | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800              |      218 | 205.22 MiB | [Download](https://huggingface.co/datasets/CyberHarem/elbe_azurlane/resolve/main/dataset-800.zip)              | IMG+TXT    | dataset with the shorter side not exceeding 800 pixels.              |
| stage3-p480-800  |      592 | 479.90 MiB | [Download](https://huggingface.co/datasets/CyberHarem/elbe_azurlane/resolve/main/dataset-stage3-p480-800.zip)  | IMG+TXT    | 3-stage cropped dataset with the area not less than 480x480 pixels.  |
| 1200             |      218 | 358.68 MiB | [Download](https://huggingface.co/datasets/CyberHarem/elbe_azurlane/resolve/main/dataset-1200.zip)             | IMG+TXT    | dataset with the shorter side not exceeding 1200 pixels.             |
| stage3-p480-1200 |      592 | 754.33 MiB | [Download](https://huggingface.co/datasets/CyberHarem/elbe_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/elbe_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 |         5 | ![](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_dress, black_gloves, cleavage, frilled_dress, layered_dress, looking_at_viewer, official_alternate_costume, open_mouth, solo, iron_cross, underboob_cutout, blush, puffy_short_sleeves, simple_background, two-tone_hair, upper_body, white_background                                                                                                            |
|   1 |        14 | ![](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, beer_mug, black_dress, black_gloves, frilled_dress, iron_cross, looking_at_viewer, official_alternate_costume, cleavage, layered_dress, solo, open_mouth, grey_hair, holding_tray, underboob_cutout, black_footwear, puffy_short_sleeves, black_socks, blush, two-tone_hair                                                                                             |
|   2 |        39 | ![](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, bare_shoulders, black_gloves, frilled_dress, looking_at_viewer, layered_dress, shoulder_cutout, iron_cross, black_dress, simple_background, black_corset, open_mouth, white_leotard, white_background, smile, black_thighhighs, blush, black_ribbon                                                                                                               |
|   3 |        33 | ![](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, cleavage, solo, brown_sweater, looking_at_viewer, sunglasses, eyewear_on_head, twintails, bare_shoulders, garter_straps, two-tone_hair, blush, black_skirt, hair_ribbon, necklace, bangs, long_sleeves, black_bra, black_ribbon, off-shoulder_sweater, official_alternate_costume, sitting, black_thighhighs, collarbone, hair_between_eyes, handbag, open_mouth, smile |
|   4 |        12 | ![](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, looking_at_viewer, twintails, black_bikini, blush, outdoors, solo, thighs, bangs, hair_bow, beach, cleavage, collarbone, jewelry, navel, open_mouth, smile, wet, bare_shoulders, black_thighhighs, side-tie_bikini_bottom, water, day, ocean, sand, sky, black_ribbon, cloud, grey_hair, hair_ribbon                                                                    |

### Table Version

|   # |   Samples | Img-1                           | Img-2                           | Img-3                           | Img-4                           | Img-5                           | 1girl   | black_dress   | black_gloves   | cleavage   | frilled_dress   | layered_dress   | looking_at_viewer   | official_alternate_costume   | open_mouth   | solo   | iron_cross   | underboob_cutout   | blush   | puffy_short_sleeves   | simple_background   | two-tone_hair   | upper_body   | white_background   | beer_mug   | grey_hair   | holding_tray   | black_footwear   | black_socks   | bare_shoulders   | shoulder_cutout   | black_corset   | white_leotard   | smile   | black_thighhighs   | black_ribbon   | brown_sweater   | sunglasses   | eyewear_on_head   | twintails   | garter_straps   | black_skirt   | hair_ribbon   | necklace   | bangs   | long_sleeves   | black_bra   | off-shoulder_sweater   | sitting   | collarbone   | hair_between_eyes   | handbag   | black_bikini   | outdoors   | thighs   | hair_bow   | beach   | jewelry   | navel   | wet   | side-tie_bikini_bottom   | water   | day   | ocean   | sand   | sky   | cloud   |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------------|:---------------|:-----------|:----------------|:----------------|:--------------------|:-----------------------------|:-------------|:-------|:-------------|:-------------------|:--------|:----------------------|:--------------------|:----------------|:-------------|:-------------------|:-----------|:------------|:---------------|:-----------------|:--------------|:-----------------|:------------------|:---------------|:----------------|:--------|:-------------------|:---------------|:----------------|:-------------|:------------------|:------------|:----------------|:--------------|:--------------|:-----------|:--------|:---------------|:------------|:-----------------------|:----------|:-------------|:--------------------|:----------|:---------------|:-----------|:---------|:-----------|:--------|:----------|:--------|:------|:-------------------------|:--------|:------|:--------|:-------|:------|:--------|
|   0 |         5 | ![](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 |        14 | ![](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             |                  |                   |                |                 |         |                    |                |                 |              |                   |             |                 |               |               |            |         |                |             |                        |           |              |                     |           |                |            |          |            |         |           |         |       |                          |         |       |         |        |       |         |
|   2 |        39 | ![](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              |                 |              |                   |             |                 |               |               |            |         |                |             |                        |           |              |                     |           |                |            |          |            |         |           |         |       |                          |         |       |         |        |       |         |
|   3 |        33 | ![](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         |                |            |          |            |         |           |         |       |                          |         |       |         |        |       |         |
|   4 |        12 | ![](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       |


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 elbe/エルベ/易北 (Azur Lane)
==================================


This is the dataset of elbe/エルベ/易北 (Azur Lane), containing 218 images and their tags.


The core tags of this character are 'long\_hair, breasts, purple\_eyes, multicolored\_hair, large\_breasts, streaked\_hair, white\_hair, black\_hair, fang, skin\_fang, hat, black\_headwear, peaked\_cap, very\_long\_hair, ribbon', 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