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CyberHarem/durga_fgo

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Hugging Face2024-03-24 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/CyberHarem/durga_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 durga/ドゥルガー/杜尔伽 (Fate/Grand Order) This is the dataset of durga/ドゥルガー/杜尔伽 (Fate/Grand Order), containing 114 images and their tags. The core tags of this character are `breasts, long_hair, hair_ribbon, red_eyes, large_breasts, ribbon, earrings, very_long_hair, grey_hair, colored_skin, red_skin, gradient_skin, facial_mark, 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 | 114 | 246.74 MiB | [Download](https://huggingface.co/datasets/CyberHarem/durga_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 1200 | 114 | 207.63 MiB | [Download](https://huggingface.co/datasets/CyberHarem/durga_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 301 | 400.40 MiB | [Download](https://huggingface.co/datasets/CyberHarem/durga_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/durga_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 | 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, armlet, bare_shoulders, belly_chain, body_markings, bracelet, cleavage, collarbone, forehead_mark, looking_at_viewer, pelvic_curtain, revealing_clothes, sash, snake, solo, thighs, thumb_ring, open_mouth | | 1 | 6 | ![](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, armlet, bare_shoulders, belly_chain, body_markings, bracelet, cleavage, looking_at_viewer, pelvic_curtain, revealing_clothes, sash, snake, solo, thighs, thumb_ring, navel | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | armlet | bare_shoulders | belly_chain | body_markings | bracelet | cleavage | collarbone | forehead_mark | looking_at_viewer | pelvic_curtain | revealing_clothes | sash | snake | solo | thighs | thumb_ring | open_mouth | navel | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:---------|:-----------------|:--------------|:----------------|:-----------|:-----------|:-------------|:----------------|:--------------------|:-----------------|:--------------------|:-------|:--------|:-------|:---------|:-------------|:-------------|:--------| | 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 | 6 | ![](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 |
提供机构:
CyberHarem
原始信息汇总

数据集概述:durga/ドゥルガー/杜尔伽 (Fate/Grand Order)

数据集基本信息

  • 数据集名称:durga/ドゥルガー/杜尔伽 (Fate/Grand Order)
  • 包含内容:114张图像及其标签
  • 主要标签:breasts, long_hair, hair_ribbon, red_eyes, large_breasts, ribbon, earrings, very_long_hair, grey_hair, colored_skin, red_skin, gradient_skin, facial_mark, white_hair
  • 许可证:MIT
  • 任务类别:text-to-image
  • 标签:art, not-for-all-audiences
  • 大小类别:n<1K

数据集包信息

名称 图像数量 大小 下载链接 类型 描述
raw 114 246.74 MiB 下载链接 Waifuc-Raw 原始数据,包含元信息(如果图像较大,最小边对齐至1400像素)
1200 114 207.63 MiB 下载链接 IMG+TXT 数据集,其中较短边不超过1200像素
stage3-p480-1200 301 400.40 MiB 下载链接 IMG+TXT 三阶段裁剪数据集,区域不小于480x480像素

数据集加载示例

使用waifuc加载原始数据集的示例代码如下:

python import os import zipfile

from huggingface_hub import hf_hub_download from waifuc.source import LocalSource

下载原始档案文件

zip_file = hf_hub_download( repo_id=CyberHarem/durga_fgo, repo_type=dataset, filename=dataset-raw.zip, )

提取文件至目录

dataset_dir = dataset_dir os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, r) as zf: zf.extractall(dataset_dir)

使用waifuc加载数据集

source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta[filename], item.meta[tags])

标签聚类结果

原始文本版本

# 样本数 图像1 图像2 图像3 图像4 图像5 标签
0 5 图像链接 图像链接 图像链接 图像链接 图像链接 1girl, armlet, bare_shoulders, belly_chain, body_markings, bracelet, cleavage, collarbone, forehead_mark, looking_at_viewer, pelvic_curtain, revealing_clothes, sash, snake, solo, thighs, thumb_ring, open_mouth
1 6 图像链接 图像链接 图像链接 图像链接 图像链接 1girl, armlet, bare_shoulders, belly_chain, body_markings, bracelet, cleavage, looking_at_viewer, pelvic_curtain, revealing_clothes, sash, snake, solo, thighs, thumb_ring, navel

表格版本

# 样本数 图像1 图像2 图像3 图像4 图像5 1girl armlet bare_shoulders belly_chain body_markings bracelet cleavage collarbone forehead_mark looking_at_viewer pelvic_curtain revealing_clothes sash snake solo thighs thumb_ring open_mouth navel
0 5 图像链接 图像链接 图像链接 图像链接 图像链接 X X X X X X X X X X X X X X X X X X
1 6 图像链接 图像链接 图像链接 图像链接 图像链接 X X X X X X X X X X X X X X X
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