--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of hibiscus/ハイビスカス/芙蓉 (Arknights) This is the dataset of hibiscus/ハイビスカス/芙蓉 (Arknights), containing 115 images and their tags. The core tags of this character are `horns, purple_hair, pointy_ears, purple_eyes, long_hair, breasts, parted_bangs`, 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](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages | Name | Images | Size | Download | Type | Description | |:-----------------|---------:|:-----------|:--------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------| | raw | 115 | 199.88 MiB | [Download](https://huggingface.co/datasets/CyberHarem/hibiscus_arknights/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 1200 | 115 | 165.28 MiB | [Download](https://huggingface.co/datasets/CyberHarem/hibiscus_arknights/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 300 | 344.47 MiB | [Download](https://huggingface.co/datasets/CyberHarem/hibiscus_arknights/resolve/main/dataset-stage3-p480-1200.zip) | 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](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) 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/hibiscus_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 | 9 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | 1girl, black_jacket, black_necktie, collared_shirt, looking_at_viewer, open_clothes, solo, upper_body, pink_flower, simple_background, smile, white_background, black_gloves, white_shirt, black_coat, large_breasts, blush, braid, closed_mouth, long_sleeves | | 1 | 7 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | 1girl, black_coat, black_gloves, closed_mouth, cowboy_shot, flute, holding_instrument, open_coat, solo, black_necktie, collared_shirt, long_sleeves, looking_at_viewer, pink_flower, black_pantyhose, black_skirt, bracelet, object_namesake, white_background, white_shirt, black_jacket, black_shorts, brown_pantyhose, hibiscus, purple_shirt, simple_background, smile | | 2 | 23 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | 1girl, collared_shirt, black_jacket, looking_at_viewer, solo, blue_gloves, blue_shirt, long_sleeves, open_jacket, black_necktie, diagonal-striped_necktie, open_mouth, :d, blush, diagonal-striped_clothes, short_hair, simple_background, white_background, holding, pleated_skirt, black_skirt, teeth, cowboy_shot, upper_body | | 3 | 5 | ![](samples/3/clu3-sample0.png) | ![](samples/3/clu3-sample1.png) | ![](samples/3/clu3-sample2.png) | ![](samples/3/clu3-sample3.png) | ![](samples/3/clu3-sample4.png) | 1girl, beanie, black_headwear, black_jacket, black_scarf, looking_at_viewer, red_shirt, solo, :d, open_jacket, open_mouth, short_hair, upper_body, blush, gradient_hair, long_sleeves, official_alternate_costume, teeth, character_name, hand_up, holding_lantern, white_background | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | black_jacket | black_necktie | collared_shirt | looking_at_viewer | open_clothes | solo | upper_body | pink_flower | simple_background | smile | white_background | black_gloves | white_shirt | black_coat | large_breasts | blush | braid | closed_mouth | long_sleeves | cowboy_shot | flute | holding_instrument | open_coat | black_pantyhose | black_skirt | bracelet | object_namesake | black_shorts | brown_pantyhose | hibiscus | purple_shirt | blue_gloves | blue_shirt | open_jacket | diagonal-striped_necktie | open_mouth | :d | diagonal-striped_clothes | short_hair | holding | pleated_skirt | teeth | beanie | black_headwear | black_scarf | red_shirt | gradient_hair | official_alternate_costume | character_name | hand_up | holding_lantern | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:---------------|:----------------|:-----------------|:--------------------|:---------------|:-------|:-------------|:--------------|:--------------------|:--------|:-------------------|:---------------|:--------------|:-------------|:----------------|:--------|:--------|:---------------|:---------------|:--------------|:--------|:---------------------|:------------|:------------------|:--------------|:-----------|:------------------|:---------------|:------------------|:-----------|:---------------|:--------------|:-------------|:--------------|:---------------------------|:-------------|:-----|:---------------------------|:-------------|:----------|:----------------|:--------|:---------|:-----------------|:--------------|:------------|:----------------|:-----------------------------|:-----------------|:----------|:------------------| | 0 | 9 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 1 | 7 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | X | X | X | X | X | | X | | X | X | X | X | X | X | X | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | 2 | 23 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | X | X | X | X | X | | X | X | | X | | X | | | | | X | | | X | X | | | | | X | | | | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | 3 | 5 | ![](samples/3/clu3-sample0.png) | ![](samples/3/clu3-sample1.png) | ![](samples/3/clu3-sample2.png) | ![](samples/3/clu3-sample3.png) | ![](samples/3/clu3-sample4.png) | X | X | | | X | | X | X | | | | X | | | | | X | | | X | | | | | | | | | | | | | | | X | | X | X | | X | | | X | X | X | X | X | X | X | X | X | X |