Datasets:

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Tags:
art
Not-For-All-Audiences
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Datasets
License:
jade_azurlane / README.md
narugo's picture
Publish character 'jade (Azur Lane)' to repository, on 2024-01-13 19:32:52 UTC
7e97ad7 verified
metadata
license: mit
task_categories:
  - text-to-image
tags:
  - art
  - not-for-all-audiences
size_categories:
  - n<1K

Dataset of jade/ヤーデ/亚德 (Azur Lane)

This is the dataset of jade/ヤーデ/亚德 (Azur Lane), containing 46 images and their tags.

The core tags of this character are breasts, blue_eyes, bangs, grey_hair, hair_bun, hair_ornament, large_breasts, short_hair, hair_between_eyes, hairclip, hat, double_bun, mole, 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 46 92.03 MiB Download Waifuc-Raw Raw data with meta information (min edge aligned to 1400 if larger).
800 46 43.10 MiB Download IMG+TXT dataset with the shorter side not exceeding 800 pixels.
stage3-p480-800 117 93.81 MiB Download IMG+TXT 3-stage cropped dataset with the area not less than 480x480 pixels.
1200 46 78.27 MiB Download IMG+TXT dataset with the shorter side not exceeding 1200 pixels.
stage3-p480-1200 117 153.07 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/jade_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 16 1girl, looking_at_viewer, solo, popsicle, sailor_collar, bracelet, white_one-piece_swimsuit, blush, bare_shoulders, innertube, water, covered_navel, holding, looking_back, smile
1 25 1girl, looking_at_viewer, solo, cleavage, smile, blush, long_sleeves, white_background, simple_background, white_gloves, black_headwear, thigh_strap, black_dress, skirt, cross, mole_under_eye

Table Version

# Samples Img-1 Img-2 Img-3 Img-4 Img-5 1girl looking_at_viewer solo popsicle sailor_collar bracelet white_one-piece_swimsuit blush bare_shoulders innertube water covered_navel holding looking_back smile cleavage long_sleeves white_background simple_background white_gloves black_headwear thigh_strap black_dress skirt cross mole_under_eye
0 16 X X X X X X X X X X X X X X X
1 25 X X X X X X X X X X X X X X X X