Datasets:

Tags:
art
Not-For-All-Audiences
Libraries:
Datasets
License:
myrtle_arknights / README.md
narugo's picture
Publish character 'myrtle (Arknights)' to repository, on 2024-01-10 00:17:02 UTC
55bebb0
|
raw
history blame
12.8 kB
metadata
license: mit
task_categories:
  - text-to-image
tags:
  - art
  - not-for-all-audiences
size_categories:
  - n<1K

Dataset of myrtle/テンニンカ/桃金娘 (Arknights)

This is the dataset of myrtle/テンニンカ/桃金娘 (Arknights), containing 397 images and their tags.

The core tags of this character are long_hair, pointy_ears, bangs, green_eyes, red_hair, ahoge, parted_bangs, ear_piercing, very_long_hair, brown_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 397 686.47 MiB Download Waifuc-Raw Raw data with meta information (min edge aligned to 1400 if larger).
800 397 311.12 MiB Download IMG+TXT dataset with the shorter side not exceeding 800 pixels.
stage3-p480-800 1032 712.37 MiB Download IMG+TXT 3-stage cropped dataset with the area not less than 480x480 pixels.
1200 397 566.29 MiB Download IMG+TXT dataset with the shorter side not exceeding 1200 pixels.
stage3-p480-1200 1032 1.10 GiB 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/myrtle_arknights',
    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

Raw Text Version

# Samples Img-1 Img-2 Img-3 Img-4 Img-5 Tags
0 5 breasts
1 25 blue_eyes
2 5 mole, mole_under_mouth
3 6 breasts, eyewear_on_head, hair_flower, hair_ornament, heart-shaped_eyewear, sunglasses, tinted_eyewear, small_breasts
4 6 eyewear_on_head, hair_flower, hair_ornament, heart-shaped_eyewear, sunglasses, tinted_eyewear, hat
5 14 hat, white_headwear, bow, blue_bow, shako_cap
6 9 hat, shako_cap, white_headwear
7 8 hat, white_headwear
8 5 fang, skin_fang, wavy_hair
9 6 fang

Table Version

# Samples Img-1 Img-2 Img-3 Img-4 Img-5 breasts blue_eyes mole mole_under_mouth eyewear_on_head hair_flower hair_ornament heart-shaped_eyewear sunglasses tinted_eyewear small_breasts hat white_headwear bow blue_bow shako_cap fang skin_fang wavy_hair
0 5 X
1 25 X
2 5 X X
3 6 X X X X X X X X
4 6 X X X X X X X
5 14 X X X X X
6 9 X X X
7 8 X X
8 5 X X X
9 6 X