Datasets:

Size:
< 1K
Tags:
art
Not-For-All-Audiences
Libraries:
Datasets
License:
narugo's picture
Publish character "scar_h (Girls' Frontline)" to repository, on 2024-01-13 23:27:52 UTC
030d561 verified
metadata
license: mit
task_categories:
  - text-to-image
tags:
  - art
  - not-for-all-audiences
size_categories:
  - n<1K

Dataset of scar_h/SCAR-H (Girls' Frontline)

This is the dataset of scar_h/SCAR-H (Girls' Frontline), containing 20 images and their tags.

The core tags of this character are bangs, long_hair, blonde_hair, blue_eyes, hat, ponytail, white_headwear, baseball_cap, breasts, brown_hair, purple_eyes, 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 20 25.37 MiB Download Waifuc-Raw Raw data with meta information (min edge aligned to 1400 if larger).
800 20 13.97 MiB Download IMG+TXT dataset with the shorter side not exceeding 800 pixels.
stage3-p480-800 49 30.24 MiB Download IMG+TXT 3-stage cropped dataset with the area not less than 480x480 pixels.
1200 20 22.54 MiB Download IMG+TXT dataset with the shorter side not exceeding 1200 pixels.
stage3-p480-1200 49 43.37 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/scar_h_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 6 blue_gloves, 1girl, solo, assault_rifle, black_jacket, feet_out_of_frame, holding_gun, looking_at_viewer, white_background, long_sleeves, midriff, navel, pants, simple_background

Table Version

# Samples Img-1 Img-2 Img-3 Img-4 Img-5 blue_gloves 1girl solo assault_rifle black_jacket feet_out_of_frame holding_gun looking_at_viewer white_background long_sleeves midriff navel pants simple_background
0 6 X X X X X X X X X X X X X X