CyberHarem/z_reverse1999

Dataset of Z/Madam_Z/Z女士 (Reverse:1999)

This is the dataset of Z/Madam_Z/Z女士 (Reverse:1999), containing 10 images and their tags.

The core tags of this character are black_hair, glasses, medium_hair, brown_eyes, long_hair, parted_bangs, 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(huggingface organization).

List of Packages

Name	Images	Size	Download	Type	Description	Images-head	Images-others
raw	10	18.00 MiB	Download	Waifuc-Raw	Raw data with meta information (min edge aligned to 1400 if larger).	--	--
stage3-p480-1200	25	28.41 MiB	Download	IMG+TXT	3-stage cropped dataset with the area not less than 480x480 pixels.	8	17

Load Raw Dataset with Waifuc

We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code

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/z_reverse1999',
    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	10						long_sleeves, 1girl, closed_mouth, coat, simple_background, white_background, white_shirt, looking_at_viewer, upper_body, 1boy, black_gloves, solo_focus

Table Version

#	Samples	Img-1	Img-2	Img-3	Img-4	Img-5	long_sleeves	1girl	closed_mouth	coat	simple_background	white_background	white_shirt	looking_at_viewer	upper_body	1boy	black_gloves	solo_focus
0	10						X	X	X	X	X	X	X	X	X	X	X	X