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Dataset of Hikigaya Komachi (Yahari Ore no Seishun LoveCome wa Machigatte Iru)
This is the dataset of Hikigaya Komachi (Yahari Ore no Seishun LoveCome wa Machigatte Iru), containing 240 images and their tags.
The core tags of this character are short_hair, black_hair, ahoge, hair_ornament, hairclip, x_hair_ornament
, 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 | 240 | 117.16 MiB | Download | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
800 | 240 | 100.74 MiB | Download | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. |
stage3-p480-800 | 463 | 186.62 MiB | Download | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
1200 | 240 | 117.07 MiB | Download | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
stage3-p480-1200 | 463 | 208.46 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/hikigaya_komachi_yahariorenoseishunlovecomewamachigatteiru',
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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