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CyberHarem/kimura_natsuki_idolmastercinderellagirls

Dataset of kimura_natsuki/木村夏樹 (THE iDOLM@STER: Cinderella Girls) This is the dataset of kimura_natsuki/木村夏樹 (THE iDOLM@STER: Cinderella Girls), containing 198 images and their tags. The core tags of this character are short_hair, brown_hair, green_eyes, earrings, breasts, medium_breasts, hair_between_eyes, 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… See the full description on the dataset page: https://huggingface.co/datasets/CyberHarem/kimura_natsuki_idolmastercinderellagirls.

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Dataset Card

Dataset of kimura_natsuki/木村夏樹 (THE iDOLM@STER: Cinderella Girls)

This is the dataset of kimura_natsuki/木村夏樹 (THE iDOLM@STER: Cinderella Girls), containing 198 images and their tags.

The core tags of this character are short_hair, brown_hair, green_eyes, earrings, breasts, medium_breasts, hair_between_eyes, 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

NameImagesSizeDownloadTypeDescription
raw198238.47 MiBDownloadWaifuc-RawRaw data with meta information (min edge aligned to 1400 if larger).
800198141.26 MiBDownloadIMG+TXTdataset with the shorter side not exceeding 800 pixels.
stage3-p480-800426278.31 MiBDownloadIMG+TXT3-stage cropped dataset with the area not less than 480x480 pixels.
1200198208.76 MiBDownloadIMG+TXTdataset with the shorter side not exceeding 1200 pixels.
stage3-p480-1200426395.37 MiBDownloadIMG+TXT3-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

python
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/kimura_natsuki_idolmastercinderellagirls',
    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

#SamplesImg-1Img-2Img-3Img-4Img-5Tags
09[image][image][image][image][image]1girl, solo, simplebackground, whitebackground, grin, shirt, cleavage, lookingatviewer, necklace, upperbody, collarbone, openjacket
18[image][image][image][image][image]1girl, cleavage, enmaided, maidheaddress, blush, solo, wristcuffs, jewelry, lookingatviewer, apron, simplebackground, smile, collarbone, earpiercing, frills, largebreasts, oneeyeclosed, shortsleeves, sweatdrop, upper_body
29[image][image][image][image][image]1girl, solo, fingerlessgloves, jewelry, smile, microphone, belt, card(medium), charactername, navel, sunsymbol, midriff, orange_background
36[image][image][image][image][image]1girl, fingerlessgloves, microphonestand, nailpolish, thighhighs, boots, garterstraps, midriff, necklace, solo

Table Version

#SamplesImg-1Img-2Img-3Img-4Img-51girlsolosimple_backgroundwhite_backgroundgrinshirtcleavagelooking_at_viewernecklaceupper_bodycollarboneopen_jacketenmaidedmaid_headdressblushwrist_cuffsjewelryapronsmileear_piercingfrillslarge_breastsone_eye_closedshort_sleevessweatdropfingerless_glovesmicrophonebeltcard_(medium)character_namenavelsun_symbolmidrifforange_backgroundmicrophone_standnail_polishthighhighsbootsgarter_straps
09[image][image][image][image][image]XXXXXXXXXXXX
18[image][image][image][image][image]XXXXXXXXXXXXXXXXXXXX
29[image][image][image][image][image]XXXXXXXXXXXXX
36[image][image][image][image][image]XXXXXXXXXX