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CyberHarem/folkwang_nikke

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Hugging Face2024-01-24 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/CyberHarem/folkwang_nikke
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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 folkwang/フォルクヴァン/富克旺/폴크방 (Nikke: Goddess of Victory) This is the dataset of folkwang/フォルクヴァン/富克旺/폴크방 (Nikke: Goddess of Victory), containing 22 images and their tags. The core tags of this character are `long_hair, breasts, large_breasts, purple_hair, blue_eyes, braid, bangs, purple_eyes, bow, hair_bow, very_long_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 | 22 | 44.88 MiB | [Download](https://huggingface.co/datasets/CyberHarem/folkwang_nikke/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 800 | 22 | 19.21 MiB | [Download](https://huggingface.co/datasets/CyberHarem/folkwang_nikke/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. | | stage3-p480-800 | 57 | 46.70 MiB | [Download](https://huggingface.co/datasets/CyberHarem/folkwang_nikke/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | | 1200 | 22 | 37.28 MiB | [Download](https://huggingface.co/datasets/CyberHarem/folkwang_nikke/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 57 | 78.79 MiB | [Download](https://huggingface.co/datasets/CyberHarem/folkwang_nikke/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/folkwang_nikke', 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 | 22 | ![](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, solo, looking_at_viewer, fingerless_gloves, popsicle, crop_top, sweat, bare_shoulders, black_gloves, blush, navel, underboob, holding, open_mouth, white_shirt, midriff, sleeveless_shirt, belt, mouth_hold, simple_background, white_background, white_pants | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | solo | looking_at_viewer | fingerless_gloves | popsicle | crop_top | sweat | bare_shoulders | black_gloves | blush | navel | underboob | holding | open_mouth | white_shirt | midriff | sleeveless_shirt | belt | mouth_hold | simple_background | white_background | white_pants | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-------|:--------------------|:--------------------|:-----------|:-----------|:--------|:-----------------|:---------------|:--------|:--------|:------------|:----------|:-------------|:--------------|:----------|:-------------------|:-------|:-------------|:--------------------|:-------------------|:--------------| | 0 | 22 | ![](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 | 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 folkwang/フォルクヴァン/富克旺/폴크방 (Nikke: Goddess of Victory)

数据集内容

  • 图像数量:22张
  • 图像来源:多个网站,如danbooru, pixiv, zerochan等
  • 核心标签:long_hair, breasts, large_breasts, purple_hair, blue_eyes, braid, bangs, purple_eyes, bow, hair_bow, very_long_hair

数据集版本

名称 图像数量 大小 类型 描述
raw 22 44.88 MiB 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)
800 22 19.21 MiB IMG+TXT 短边不超过800像素的数据集
stage3-p480-800 57 46.70 MiB IMG+TXT 三阶段裁剪数据集,区域不小于480x480像素
1200 22 37.28 MiB IMG+TXT 短边不超过1200像素的数据集
stage3-p480-1200 57 78.79 MiB 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waifuc
  • 加载方法:提供Python代码示例,用于下载和解压数据集,并通过waifuc加载。

数据集标签集群

# 样本数 标签示例
0 22 1girl, solo, looking_at_viewer, fingerless_gloves, popsicle, crop_top, sweat, bare_shoulders, black_gloves, blush, navel, underboob, holding, open_mouth, white_shirt, midriff, sleeveless_shirt, belt, mouth_hold, simple_background, white_background, white_pants
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