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Dataset of pengi/ペンギー (Granblue Fantasy)
This is the dataset of pengi/ペンギー (Granblue Fantasy), containing 85 images and their tags.
The core tags of this character are blonde_hair, blue_eyes, twintails, goggles_on_head, short_hair, short_twintails, breasts, ahoge, fang, small_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 | 85 | 84.63 MiB | Download | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
800 | 85 | 55.93 MiB | Download | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
stage3-p480-800 | 200 | 116.35 MiB | Download | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
1200 | 85 | 77.68 MiB | Download | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
stage3-p480-1200 | 200 | 150.68 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/pengi_granbluefantasy',
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
Table Version
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Models trained or fine-tuned on CyberHarem/pengi_granbluefantasy
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