CyberHarem/abukuma_azurlane
收藏Hugging Face2024-01-14 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/CyberHarem/abukuma_azurlane
下载链接
链接失效反馈官方服务:
资源简介:
---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of abukuma/阿武隈/阿武隈 (Azur Lane)
This is the dataset of abukuma/阿武隈/阿武隈 (Azur Lane), containing 16 images and their tags.
The core tags of this character are `bangs, black_hair, hair_ornament, horns, red_eyes, ahoge, hairclip, pointy_ears, breasts, earrings, facial_mark, fang, hair_between_eyes, short_hair, large_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 | 16 | 14.41 MiB | [Download](https://huggingface.co/datasets/CyberHarem/abukuma_azurlane/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 16 | 12.17 MiB | [Download](https://huggingface.co/datasets/CyberHarem/abukuma_azurlane/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 39 | 24.66 MiB | [Download](https://huggingface.co/datasets/CyberHarem/abukuma_azurlane/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 16 | 13.97 MiB | [Download](https://huggingface.co/datasets/CyberHarem/abukuma_azurlane/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 39 | 27.10 MiB | [Download](https://huggingface.co/datasets/CyberHarem/abukuma_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/abukuma_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, solo, bare_shoulders, jewelry, looking_at_viewer, sideboob, smile, thighhighs, bell, closed_mouth, cloud, detached_sleeves, medium_breasts, open_mouth, outdoors, shirt, shorts, sky |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | solo | bare_shoulders | jewelry | looking_at_viewer | sideboob | smile | thighhighs | bell | closed_mouth | cloud | detached_sleeves | medium_breasts | open_mouth | outdoors | shirt | shorts | sky |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-------|:-----------------|:----------|:--------------------|:-----------|:--------|:-------------|:-------|:---------------|:--------|:-------------------|:-----------------|:-------------|:-----------|:--------|:---------|:------|
| 0 | 7 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X |
提供机构:
CyberHarem
原始信息汇总
数据集概述
数据集名称
Dataset of abukuma/阿武隈/阿武隈 (Azur Lane)
数据集描述
该数据集包含16张图片及其标签,主要描述角色abukuma/阿武隈/阿武隈(Azur Lane)。
核心标签
- bangs
- black_hair
- hair_ornament
- horns
- red_eyes
- ahoge
- hairclip
- pointy_ears
- breasts
- earrings
- facial_mark
- fang
- hair_between_eyes
- short_hair
- large_breasts
数据集包列表
| 名称 | 图片数量 | 大小 | 类型 | 描述 |
|---|---|---|---|---|
| raw | 16 | 14.41 MiB | Waifuc-Raw | 包含元信息的原始数据(如果较大,最小边对齐到1400)。 |
| 800 | 16 | 12.17 MiB | IMG+TXT | 短边不超过800像素的数据集。 |
| stage3-p480-800 | 39 | 24.66 MiB | IMG+TXT | 3阶段裁剪数据集,区域不小于480x480像素。 |
| 1200 | 16 | 13.97 MiB | IMG+TXT | 短边不超过1200像素的数据集。 |
| stage3-p480-1200 | 39 | 27.10 MiB | IMG+TXT | 3阶段裁剪数据集,区域不小于480x480像素。 |
标签聚类结果
原始文本版本
| # | 样本数量 | 图片1 | 图片2 | 图片3 | 图片4 | 图片5 | 标签 |
|---|---|---|---|---|---|---|---|
| 0 | 7 | ![]() |
![]() |
![]() |
![]() |
![]() |
1girl, solo, bare_shoulders, jewelry, looking_at_viewer, sideboob, smile, thighhighs, bell, closed_mouth, cloud, detached_sleeves, medium_breasts, open_mouth, outdoors, shirt, shorts, sky |
表格版本
| # | 样本数量 | 图片1 | 图片2 | 图片3 | 图片4 | 图片5 | 1girl | solo | bare_shoulders | jewelry | looking_at_viewer | sideboob | smile | thighhighs | bell | closed_mouth | cloud | detached_sleeves | medium_breasts | open_mouth | outdoors | shirt | shorts | sky |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 7 | ![]() |
![]() |
![]() |
![]() |
![]() |
X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X |








