CyberHarem/ru_class_kantaicollection
收藏Hugging Face2024-01-15 更新2024-03-04 收录
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https://hf-mirror.com/datasets/CyberHarem/ru_class_kantaicollection
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资源简介:
---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of ru_class/戦艦ル級 (Kantai Collection)
This is the dataset of ru_class/戦艦ル級 (Kantai Collection), containing 44 images and their tags.
The core tags of this character are `long_hair, black_hair, pale_skin, glowing_eyes, blue_eyes, 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 | 44 | 30.28 MiB | [Download](https://huggingface.co/datasets/CyberHarem/ru_class_kantaicollection/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800 | 44 | 25.23 MiB | [Download](https://huggingface.co/datasets/CyberHarem/ru_class_kantaicollection/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
| stage3-p480-800 | 70 | 38.07 MiB | [Download](https://huggingface.co/datasets/CyberHarem/ru_class_kantaicollection/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
| 1200 | 44 | 29.30 MiB | [Download](https://huggingface.co/datasets/CyberHarem/ru_class_kantaicollection/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 70 | 43.63 MiB | [Download](https://huggingface.co/datasets/CyberHarem/ru_class_kantaicollection/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/ru_class_kantaicollection',
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 | 9 |  |  |  |  |  | 1girl, abyssal_ship, solo, glowing, turret, cannon, yellow_eyes |
| 1 | 5 |  |  |  |  |  | 1girl, abyssal_ship, black_pants, solo, looking_at_viewer, turret, aqua_eyes, boots, cannon, full_body, machinery, white_background, glowing, simple_background |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | abyssal_ship | solo | glowing | turret | cannon | yellow_eyes | black_pants | looking_at_viewer | aqua_eyes | boots | full_body | machinery | white_background | simple_background |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:---------------|:-------|:----------|:---------|:---------|:--------------|:--------------|:--------------------|:------------|:--------|:------------|:------------|:-------------------|:--------------------|
| 0 | 9 |  |  |  |  |  | X | X | X | X | X | X | X | | | | | | | | |
| 1 | 5 |  |  |  |  |  | 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 ru_class/戦艦ル級 (Kantai Collection)
数据集描述
该数据集包含44张图片及其标签,主题为ru_class/戦艦ル級(舰队Collection)。主要标签包括long_hair, black_hair, pale_skin, glowing_eyes, blue_eyes, breasts。
数据集来源
图片从多个网站(如danbooru、pixiv、zerochan等)爬取,爬虫系统由DeepGHS Team开发。
数据集包列表
| 名称 | 图片数量 | 大小 | 类型 | 描述 |
|---|---|---|---|---|
| raw | 44 | 30.28 MiB | 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 | 44 | 25.23 MiB | IMG+TXT | 短边不超过800像素的数据集。 |
| stage3-p480-800 | 70 | 38.07 MiB | IMG+TXT | 3阶段裁剪数据集,区域不小于480x480像素。 |
| 1200 | 44 | 29.30 MiB | IMG+TXT | 短边不超过1200像素的数据集。 |
| stage3-p480-1200 | 70 | 43.63 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 | 9 | ![]() |
![]() |
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1girl, abyssal_ship, solo, glowing, turret, cannon, yellow_eyes |
| 1 | 5 | ![]() |
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1girl, abyssal_ship, black_pants, solo, looking_at_viewer, turret, aqua_eyes, boots, cannon, full_body, machinery, white_background, glowing, simple_background |
表格版本
| # | 样本数量 | 图片1 | 图片2 | 图片3 | 图片4 | 图片5 | 1girl | abyssal_ship | solo | glowing | turret | cannon | yellow_eyes | black_pants | looking_at_viewer | aqua_eyes | boots | full_body | machinery | white_background | simple_background |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 9 | ![]() |
![]() |
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X | X | X | X | X | X | X | ||||||||
| 1 | 5 | ![]() |
![]() |
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X | X | X | X | X | X | X | X | X | X | X | X | X | X |













