Datasets:

Size:
< 1K
Tags:
art
Not-For-All-Audiences
Libraries:
Datasets
License:
kent_azurlane / README.md
narugo's picture
Publish character 'kent (Azur Lane)' to repository, on 2024-01-13 20:32:35 UTC
3846c98 verified
metadata
license: mit
task_categories:
  - text-to-image
tags:
  - art
  - not-for-all-audiences
size_categories:
  - n<1K

Dataset of kent/ケント/肯特 (Azur Lane)

This is the dataset of kent/ケント/肯特 (Azur Lane), containing 24 images and their tags.

The core tags of this character are breasts, red_eyes, hairband, hair_between_eyes, large_breasts, short_hair, fang, purple_hair, bangs, ahoge, bow, ribbon, black_hairband, 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 24 29.93 MiB Download Waifuc-Raw Raw data with meta information (min edge aligned to 1400 if larger).
800 24 16.20 MiB Download IMG+TXT dataset with the shorter side not exceeding 800 pixels.
stage3-p480-800 61 38.63 MiB Download IMG+TXT 3-stage cropped dataset with the area not less than 480x480 pixels.
1200 24 25.78 MiB Download IMG+TXT dataset with the shorter side not exceeding 1200 pixels.
stage3-p480-1200 61 56.00 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/kent_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 24 1girl, solo, looking_at_viewer, open_mouth, blush, bare_shoulders, black_gloves, elbow_gloves, simple_background, sleeveless_shirt, upper_body, white_background, white_shirt, :d, skirt, white_apron

Table Version

# Samples Img-1 Img-2 Img-3 Img-4 Img-5 1girl solo looking_at_viewer open_mouth blush bare_shoulders black_gloves elbow_gloves simple_background sleeveless_shirt upper_body white_background white_shirt :d skirt white_apron
0 24 X X X X X X X X X X X X X X X X