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ptilopsis_arknights / README.md
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Publish character 'ptilopsis (Arknights)' to repository, on 2024-01-10 09:52:13 UTC
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metadata
license: mit
task_categories:
  - text-to-image
tags:
  - art
  - not-for-all-audiences
size_categories:
  - n<1K

Dataset of ptilopsis/フィリオプシス/白面鸮 (Arknights)

This is the dataset of ptilopsis/フィリオプシス/白面鸮 (Arknights), containing 500 images and their tags.

The core tags of this character are bangs, owl_ears, orange_eyes, long_hair, white_hair, grey_hair, yellow_eyes, 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 500 819.56 MiB Download Waifuc-Raw Raw data with meta information (min edge aligned to 1400 if larger).
800 500 393.40 MiB Download IMG+TXT dataset with the shorter side not exceeding 800 pixels.
stage3-p480-800 1246 885.82 MiB Download IMG+TXT 3-stage cropped dataset with the area not less than 480x480 pixels.
1200 500 683.92 MiB Download IMG+TXT dataset with the shorter side not exceeding 1200 pixels.
stage3-p480-1200 1246 1.35 GiB 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/ptilopsis_arknights',
    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 15 1girl, black_headwear, official_alternate_costume, solo, long_sleeves, looking_at_viewer, purple_jacket, orange_sweater, holding_bag, baguette, outdoors, upper_body, hair_ornament, beret, turtleneck_sweater, armband, jewelry, black_dress, closed_mouth, holding_food, leaf, open_jacket
1 29 1girl, open_clothes, solo, white_dress, goggles_around_neck, looking_at_viewer, jacket, armband, holding_staff, long_sleeves, black_gloves, medium_hair, simple_background, closed_mouth, white_background, upper_body
2 5 1girl, feather_hair, holding_staff, long_sleeves, solo, white_dress, white_thighhighs, armband, elite_ii_(arknights), looking_at_viewer, thigh_boots, wide_sleeves, black_shorts, full_body, high_heel_boots, simple_background, white_footwear, closed_mouth, jacket, sitting, thigh_strap, white_background
3 15 1girl, bare_shoulders, off_shoulder, solo, black_jacket, sleeveless_shirt, open_jacket, looking_at_viewer, blue_shirt, black_skirt, hairclip, long_sleeves, official_alternate_costume, simple_background, closed_mouth, cowboy_shot, upper_body

Table Version

# Samples Img-1 Img-2 Img-3 Img-4 Img-5 1girl black_headwear official_alternate_costume solo long_sleeves looking_at_viewer purple_jacket orange_sweater holding_bag baguette outdoors upper_body hair_ornament beret turtleneck_sweater armband jewelry black_dress closed_mouth holding_food leaf open_jacket open_clothes white_dress goggles_around_neck jacket holding_staff black_gloves medium_hair simple_background white_background feather_hair white_thighhighs elite_ii_(arknights) thigh_boots wide_sleeves black_shorts full_body high_heel_boots white_footwear sitting thigh_strap bare_shoulders off_shoulder black_jacket sleeveless_shirt blue_shirt black_skirt hairclip cowboy_shot
0 15 X X X X X X X X X X X X X X X X X X X X X X
1 29 X X X X X X X X X X X X X X X X
2 5 X X X X X X X X X X X X X X X X X X X X X X
3 15 X X X X X X X X X X X X X X X X X