CyberHarem/takao_azurlane

---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---

# Dataset of takao/高雄/高雄 (Azur Lane)

This is the dataset of takao/高雄/高雄 (Azur Lane), containing 500 images and their tags.

The core tags of this character are `long_hair, black_hair, breasts, large_breasts, bow, ponytail, hair_bow, white_bow, bangs, very_long_hair, brown_eyes, yellow_eyes`, 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 | 500 | 758.67 MiB | [Download](https://huggingface.co/datasets/CyberHarem/takao_azurlane/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 500 | 404.57 MiB | [Download](https://huggingface.co/datasets/CyberHarem/takao_azurlane/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 1327 | 895.60 MiB | [Download](https://huggingface.co/datasets/CyberHarem/takao_azurlane/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 500 | 655.19 MiB | [Download](https://huggingface.co/datasets/CyberHarem/takao_azurlane/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1327 | 1.26 GiB | [Download](https://huggingface.co/datasets/CyberHarem/takao_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/takao_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 | 7 |  |  |  |  |  | 1girl, black_pantyhose, holding_sword, katana, military_uniform, miniskirt, pleated_skirt, solo, white_gloves, white_skirt, looking_at_viewer, sheath, panties_under_pantyhose, simple_background, thighband_pantyhose |
| 1 | 5 |  |  |  |  |  | 1girl, aiguillette, black_pantyhose, closed_mouth, hair_flaps, long_sleeves, looking_at_viewer, military_uniform, miniskirt, pleated_skirt, solo, white_gloves, white_skirt, blush, katana, simple_background, sitting, white_background, smile |
| 2 | 15 |  |  |  |  |  | 1girl, military_uniform, solo, looking_at_viewer, upper_body, simple_background, blush, hair_flaps, white_background, buttons, closed_mouth, white_gloves |
| 3 | 7 |  |  |  |  |  | 1girl, bare_shoulders, cleavage_cutout, looking_at_viewer, pantyhose, solo, holding_sword, sheath, white_skirt, elbow_gloves, hair_flaps, official_alternate_costume, pleated_skirt, katana, electricity, leotard |
| 4 | 39 |  |  |  |  |  | elbow_gloves, looking_at_viewer, race_queen, hair_flaps, bodystocking, two-tone_leotard, 1girl, official_alternate_costume, solo, bare_shoulders, cleavage_cutout, fingerless_gloves, black_pantyhose, white_gloves, blush, simple_background, unitard, white_background |
| 5 | 5 |  |  |  |  |  | 1girl, black_serafuku, black_skirt, holding_sword, katana, long_sleeves, looking_at_viewer, pleated_skirt, sheath, solo, black_pantyhose, black_shirt, crop_top_overhang, midriff, miniskirt, simple_background, white_background, white_neckerchief, black_sailor_collar, blush, collarbone, navel, cowboy_shot, parted_lips, signature, smile, standing, white_hairband |
| 6 | 16 |  |  |  |  |  | 1girl, black_serafuku, black_skirt, midriff, miniskirt, pleated_skirt, solo, looking_at_viewer, black_pantyhose, blush, navel, white_neckerchief, black_shirt, long_sleeves, hair_flaps, crop_top_overhang, simple_background, white_hairband, black_sailor_collar, white_background, bag, official_alternate_costume |
| 7 | 5 |  |  |  |  |  | 1girl, arms_up, black_pantyhose, blush, cleavage, collarbone, looking_at_viewer, navel, on_back, panties_under_pantyhose, parted_lips, solo, thighband_pantyhose, arms_behind_head, brown_pantyhose, hair_flaps, open_shirt, white_shirt, bed_sheet, gusset, long_sleeves, pillow, spread_legs, thighs, white_bra, white_panties, armpits, black_bra, black_panties, brown_hair, crotch_seam, see-through |
| 8 | 5 |  |  |  |  |  | 1girl, blush, cleavage, hair_flower, looking_at_viewer, simple_background, solo, white_background, white_one-piece_swimsuit, bare_shoulders, casual_one-piece_swimsuit, closed_mouth, criss-cross_halter, hair_flaps, navel_cutout, thighs, collarbone, sitting, bare_arms, breast_hold, wet |
| 9 | 6 |  |  |  |  |  | 1girl, casual_one-piece_swimsuit, cleavage, criss-cross_halter, hair_flower, holding_sword, looking_at_viewer, solo, white_one-piece_swimsuit, hair_flaps, white_background, navel_cutout, simple_background, bare_shoulders, blush, bokken, full_body |
| 10 | 6 |  |  |  |  |  | 2girls, animal_ears, cleavage, day, extra_ears, mole_under_eye, outdoors, white_bikini, looking_at_viewer, ribbon, smile, solo_focus, blush, choker, swept_bangs, beach, blue_sky, closed_mouth, cloud, hair_flower, navel, ocean, one-piece_swimsuit, sarong |
| 11 | 16 |  |  |  |  |  | 1girl, black_bikini, looking_at_viewer, race_queen, extra_ears, mole_under_eye, shrug_(clothing), wrist_cuffs, white_ribbon, navel, two-tone_bikini, official_alternate_costume, solo, cleavage, thighs, blush, highleg_bikini, smile, black_thighhighs, hair_ribbon, swept_bangs, dog_ears |
| 12 | 6 |  |  |  |  |  | 1girl, bare_shoulders, looking_at_viewer, solo, white_dress, white_thighhighs, blush, china_dress, garter_straps, cleavage, closed_mouth, hair_flower, sitting, bridal_gauntlets, covered_nipples, hair_flaps, pelvic_curtain, white_background, white_gloves |
| 13 | 6 |  |  |  |  |  | 1girl, collarbone, looking_at_viewer, solo, blush, nipples, navel, sweat, completely_nude, huge_breasts, simple_background |

### Table Version

| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | black_pantyhose | holding_sword | katana | military_uniform | miniskirt | pleated_skirt | solo | white_gloves | white_skirt | looking_at_viewer | sheath | panties_under_pantyhose | simple_background | thighband_pantyhose | aiguillette | closed_mouth | hair_flaps | long_sleeves | blush | sitting | white_background | smile | upper_body | buttons | bare_shoulders | cleavage_cutout | pantyhose | elbow_gloves | official_alternate_costume | electricity | leotard | race_queen | bodystocking | two-tone_leotard | fingerless_gloves | unitard | black_serafuku | black_skirt | black_shirt | crop_top_overhang | midriff | white_neckerchief | black_sailor_collar | collarbone | navel | cowboy_shot | parted_lips | signature | standing | white_hairband | bag | arms_up | cleavage | on_back | arms_behind_head | brown_pantyhose | open_shirt | white_shirt | bed_sheet | gusset | pillow | spread_legs | thighs | white_bra | white_panties | armpits | black_bra | black_panties | brown_hair | crotch_seam | see-through | hair_flower | white_one-piece_swimsuit | casual_one-piece_swimsuit | criss-cross_halter | navel_cutout | bare_arms | breast_hold | wet | bokken | full_body | 2girls | animal_ears | day | extra_ears | mole_under_eye | outdoors | white_bikini | ribbon | solo_focus | choker | swept_bangs | beach | blue_sky | cloud | ocean | one-piece_swimsuit | sarong | black_bikini | shrug_(clothing) | wrist_cuffs | white_ribbon | two-tone_bikini | highleg_bikini | black_thighhighs | hair_ribbon | dog_ears | white_dress | white_thighhighs | china_dress | garter_straps | bridal_gauntlets | covered_nipples | pelvic_curtain | nipples | sweat | completely_nude | huge_breasts |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:------------------|:----------------|:---------|:-------------------|:------------|:----------------|:-------|:---------------|:--------------|:--------------------|:---------|:--------------------------|:--------------------|:----------------------|:--------------|:---------------|:-------------|:---------------|:--------|:----------|:-------------------|:--------|:-------------|:----------|:-----------------|:------------------|:------------|:---------------|:-----------------------------|:--------------|:----------|:-------------|:---------------|:-------------------|:--------------------|:----------|:-----------------|:--------------|:--------------|:--------------------|:----------|:--------------------|:----------------------|:-------------|:--------|:--------------|:--------------|:------------|:-----------|:-----------------|:------|:----------|:-----------|:----------|:-------------------|:------------------|:-------------|:--------------|:------------|:---------|:---------|:--------------|:---------|:------------|:----------------|:----------|:------------|:----------------|:-------------|:--------------|:--------------|:--------------|:---------------------------|:----------------------------|:---------------------|:---------------|:------------|:--------------|:------|:---------|:------------|:---------|:--------------|:------|:-------------|:-----------------|:-----------|:---------------|:---------|:-------------|:---------|:--------------|:--------|:-----------|:--------|:--------|:---------------------|:---------|:---------------|:-------------------|:--------------|:---------------|:------------------|:-----------------|:-------------------|:--------------|:-----------|:--------------|:-------------------|:--------------|:----------------|:-------------------|:------------------|:-----------------|:----------|:--------|:------------------|:---------------|
| 0 | 7 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 5 |  |  |  |  |  | X | X | | X | X | X | X | X | X | X | X | | | X | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 15 |  |  |  |  |  | X | | | | X | | | X | X | | X | | | X | | | X | X | | X | | X | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 7 |  |  |  |  |  | X | | X | X | | | X | X | | X | X | X | | | | | | X | | | | | | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 39 |  |  |  |  |  | X | X | | | | | | X | X | | X | | | X | | | | X | | X | | X | | | | X | X | | X | X | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 5 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 16 |  |  |  |  |  | X | X | | | | X | X | X | | | X | | | X | | | | X | X | X | | X | | | | | | | | X | | | | | | | | X | X | X | X | X | X | X | | X | | | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 5 |  |  |  |  |  | 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 | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 5 |  |  |  |  |  | X | | | | | | | X | | | X | | | X | | | X | X | | X | X | X | | | | X | | | | | | | | | | | | | | | | | | | X | | | | | | | | | X | | | | | | | | | | X | | | | | | | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 9 | 6 |  |  |  |  |  | X | | X | | | | | X | | | X | | | X | | | | X | | X | | X | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | X | X | X | X | X | | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 10 | 6 |  |  |  |  |  | | | | | | | | | | | X | | | | | | X | | | X | | | X | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | X | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | |
| 11 | 16 |  |  |  |  |  | X | | | | | | | X | | | X | | | | | | | | | X | | | X | | | | | | | X | | | X | | | | | | | | | | | | | X | | | | | | | | X | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | X | X | | | | | | X | | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | |
| 12 | 6 |  |  |  |  |  | X | | | | | | | X | X | | X | | | | | | X | X | | X | X | X | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | | | | |
| 13 | 6 |  |  |  |  |  | X | | | | | | | X | | | X | | | X | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X |

原始信息汇总

数据集概述

基本信息

• 名称: takao/高雄/高雄 (Azur Lane)
• 许可证: MIT
• 任务类别: text-to-image
• 标签: art, not-for-all-audiences
• 大小类别: n<1K

数据集内容

• 包含: 500张图像及其标签
• 核心标签: long_hair, black_hair, breasts, large_breasts, bow, ponytail, hair_bow, white_bow, bangs, very_long_hair, brown_eyes, yellow_eyes

数据集包

名称	图像数量	大小	下载链接	类型	描述
raw	500	758.67 MiB	下载	Waifuc-Raw	包含元信息的原始数据（最小边对齐到1400像素，如果更大）。
800	500	404.57 MiB	下载	IMG+TXT	短边不超过800像素的数据集。
stage3-p480-800	1327	895.60 MiB	下载	IMG+TXT	三阶段裁剪数据集，区域不小于480x480像素。
1200	500	655.19 MiB	下载	IMG+TXT	短边不超过1200像素的数据集。
stage3-p480-1200	1327	1.26 GiB	下载	IMG+TXT	三阶段裁剪数据集，区域不小于480x480像素。

数据集加载

• 加载工具: waifuc
• 加载代码示例: 提供了一个Python代码示例，用于下载和加载原始数据集。

数据集集群

• 集群列表: 提供了多个集群的详细信息，包括每个集群的样本数量、图像示例及其标签。

数据集使用

• 数据集下载: 用户可以根据需要选择不同分辨率和处理阶段的数据集包进行下载。
• 数据集加载: 使用提供的Python代码示例，可以方便地加载和处理数据集。

注意事项

• 数据集包含的图像和标签主要针对特定角色，适用于text-to-image任务。
• 数据集的许可证为MIT，允许在遵守许可证条款的前提下自由使用。