Datasets:

Size:
< 1K
Tags:
art
Not-For-All-Audiences
Libraries:
Datasets
License:
aoba_azurlane / README.md
narugo's picture
Publish character 'aoba (Azur Lane)' to repository, on 2024-01-13 19:24:52 UTC
a2ddb0f verified
metadata
license: mit
task_categories:
  - text-to-image
tags:
  - art
  - not-for-all-audiences
size_categories:
  - n<1K

Dataset of aoba/青葉/青叶 (Azur Lane)

This is the dataset of aoba/青葉/青叶 (Azur Lane), containing 10 images and their tags.

The core tags of this character are long_hair, bangs, aqua_hair, breasts, brown_eyes, animal_ears, twintails, medium_breasts, blue_hair, earrings, hair_between_eyes, large_breasts, 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 10 8.17 MiB Download Waifuc-Raw Raw data with meta information (min edge aligned to 1400 if larger).
800 10 5.58 MiB Download IMG+TXT dataset with the shorter side not exceeding 800 pixels.
stage3-p480-800 19 9.94 MiB Download IMG+TXT 3-stage cropped dataset with the area not less than 480x480 pixels.
1200 10 7.47 MiB Download IMG+TXT dataset with the shorter side not exceeding 1200 pixels.
stage3-p480-1200 19 13.00 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/aoba_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 10 1girl, smile, solo, cleavage, looking_at_viewer, open_jacket, pleated_skirt, black_shirt, simple_background, white_skirt, black_jacket, blush, collarbone, white_background, holding_pen, jewelry, miniskirt, open_mouth

Table Version

# Samples Img-1 Img-2 Img-3 Img-4 Img-5 1girl smile solo cleavage looking_at_viewer open_jacket pleated_skirt black_shirt simple_background white_skirt black_jacket blush collarbone white_background holding_pen jewelry miniskirt open_mouth
0 10 X X X X X X X X X X X X X X X X X X