Dataset of ks_23/KS-23/KS-23 (Girls' Frontline)

This is the dataset of ks_23/KS-23/KS-23 (Girls' Frontline), containing 17 images and their tags.

The core tags of this character are breasts, orange_hair, large_breasts, yellow_eyes, ahoge, long_hair, red_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(huggingface organization).

List of Packages

Name	Images	Size	Download	Type	Description
raw	17	16.46 MiB	Download	Waifuc-Raw	Raw data with meta information (min edge aligned to 1400 if larger).
800	17	10.37 MiB	Download	IMG+TXT	dataset with the shorter side not exceeding 800 pixels.
stage3-p480-800	36	21.51 MiB	Download	IMG+TXT	3-stage cropped dataset with the area not less than 480x480 pixels.
1200	17	14.75 MiB	Download	IMG+TXT	dataset with the shorter side not exceeding 1200 pixels.
stage3-p480-1200	36	28.43 MiB	Download	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 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/ks_23_girlsfrontline',
    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	17						1girl, looking_at_viewer, fingerless_gloves, sharp_teeth, solo, cleavage, navel, simple_background, blush, midriff, white_background, shorts, black_gloves, elbow_gloves, smile