Datasets:

Size:
< 1K
Tags:
art
Not-For-All-Audiences
Libraries:
Datasets
License:
kuybyshev_azurlane / README.md
narugo's picture
Publish character 'kuybyshev (Azur Lane)' to repository, on 2024-01-14 07:16:49 UTC
6f24d6b verified
metadata
license: mit
task_categories:
  - text-to-image
tags:
  - art
  - not-for-all-audiences
size_categories:
  - n<1K

Dataset of kuybyshev/クイビシェフ/古比雪夫 (Azur Lane)

This is the dataset of kuybyshev/クイビシェフ/古比雪夫 (Azur Lane), containing 19 images and their tags.

The core tags of this character are short_hair, breasts, hat, white_headwear, blue_hair, hair_over_one_eye, large_breasts, red_eyes, bangs, peaked_cap, eyepatch, 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 19 40.47 MiB Download Waifuc-Raw Raw data with meta information (min edge aligned to 1400 if larger).
800 19 18.30 MiB Download IMG+TXT dataset with the shorter side not exceeding 800 pixels.
stage3-p480-800 53 45.52 MiB Download IMG+TXT 3-stage cropped dataset with the area not less than 480x480 pixels.
1200 19 34.11 MiB Download IMG+TXT dataset with the shorter side not exceeding 1200 pixels.
stage3-p480-1200 53 70.81 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/kuybyshev_azurlane',
    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 19 1girl, looking_at_viewer, solo, white_gloves, fur_trim, holding, sideboob, smile, thighs, white_coat, lantern, leotard, blush, thigh_strap, belt, black_thighhighs, buttons, closed_mouth, one_eye_covered, simple_background

Table Version

# Samples Img-1 Img-2 Img-3 Img-4 Img-5 1girl looking_at_viewer solo white_gloves fur_trim holding sideboob smile thighs white_coat lantern leotard blush thigh_strap belt black_thighhighs buttons closed_mouth one_eye_covered simple_background
0 19 X X X X X X X X X X X X X X X X X X X X