CyberHarem/sen_no_rikyu_fgo
收藏Hugging Face2024-03-24 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/CyberHarem/sen_no_rikyu_fgo
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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 sen_no_rikyu/千利休/千利休 (Fate/Grand Order)
This is the dataset of sen_no_rikyu/千利休/千利休 (Fate/Grand Order), containing 89 images and their tags.
The core tags of this character are `blunt_bangs, black_eyes, hat, grey_hair, multicolored_hair, black_hair, gradient_hair, medium_hair, tassel, black_headwear, white_hair`, 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 | 89 | 145.35 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sen_no_rikyu_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 1200 | 89 | 120.89 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sen_no_rikyu_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 190 | 222.59 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sen_no_rikyu_fgo/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/sen_no_rikyu_fgo',
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 | 13 |  |  |  |  |  | 1girl, looking_at_viewer, solo, black_kimono, blue_flower, morning_glory, wide_sleeves, long_sleeves, holding, smile, simple_background, white_background, obi, closed_mouth |
| 1 | 7 |  |  |  |  |  | 1girl, black_kimono, looking_at_viewer, solo, wide_sleeves, blue_flower, disembodied_limb, obi, smile, holding, long_sleeves, morning_glory, cup, flower_knot |
| 2 | 8 |  |  |  |  |  | 1girl, red_kimono, solo, looking_at_viewer, red_headwear, short_hair, long_sleeves, obi, smile, wide_sleeves, folding_fan, holding_fan, simple_background, closed_mouth, disembodied_limb, white_background |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | looking_at_viewer | solo | black_kimono | blue_flower | morning_glory | wide_sleeves | long_sleeves | holding | smile | simple_background | white_background | obi | closed_mouth | disembodied_limb | cup | flower_knot | red_kimono | red_headwear | short_hair | folding_fan | holding_fan |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------------------|:-------|:---------------|:--------------|:----------------|:---------------|:---------------|:----------|:--------|:--------------------|:-------------------|:------|:---------------|:-------------------|:------|:--------------|:-------------|:---------------|:-------------|:--------------|:--------------|
| 0 | 13 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | |
| 1 | 7 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | | | X | | X | X | X | | | | | |
| 2 | 8 |  |  |  |  |  | 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
- 名称: sen_no_rikyu/千利休/千利休 (Fate/Grand Order)
数据集内容
- 描述: 包含89张图像及其标签。
- 核心标签: blunt_bangs, black_eyes, hat, grey_hair, multicolored_hair, black_hair, gradient_hair, medium_hair, tassel, black_headwear, white_hair
数据集来源
- 来源: 从多个网站爬取,包括danbooru, pixiv, zerochan等。
- 爬取系统: 由DeepGHS Team开发。
数据集版本与下载
| 名称 | 图像数量 | 大小 | 下载链接 | 类型 | 描述 |
|---|---|---|---|---|---|
| raw | 89 | 145.35 MiB | 下载 | Waifuc-Raw | 包含元信息的原始数据,最小边对齐至1400像素(如果更大)。 |
| 1200 | 89 | 120.89 MiB | 下载 | IMG+TXT | 短边不超过1200像素的数据集。 |
| stage3-p480-1200 | 190 | 222.59 MiB | 下载 | IMG+TXT | 三阶段裁剪数据集,区域不小于480x480像素。 |
数据集使用
- 加载工具: 使用waifuc加载原始数据集。
标签集群
-
集群列表:
# 样本数 图像示例 标签 0 13
至 
1girl, looking_at_viewer, solo, black_kimono, blue_flower, morning_glory, wide_sleeves, long_sleeves, holding, smile, simple_background, white_background, obi, closed_mouth 1 7
至 
1girl, black_kimono, looking_at_viewer, solo, wide_sleeves, blue_flower, disembodied_limb, obi, smile, holding, long_sleeves, morning_glory, cup, flower_knot 2 8
至 
1girl, red_kimono, solo, looking_at_viewer, red_headwear, short_hair, long_sleeves, obi, smile, wide_sleeves, folding_fan, holding_fan, simple_background, closed_mouth, disembodied_limb, white_background



