--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of van_gogh/ヴァン・ゴッホ/梵高 (Fate/Grand Order) This is the dataset of van_gogh/ヴァン・ゴッホ/梵高 (Fate/Grand Order), containing 500 images and their tags. The core tags of this character are `braid, side_braid, blue_eyes, crown_braid, brown_hair, hat, long_hair, orange_hair`, 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 | 500 | 923.98 MiB | [Download](https://huggingface.co/datasets/CyberHarem/van_gogh_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 1200 | 500 | 771.81 MiB | [Download](https://huggingface.co/datasets/CyberHarem/van_gogh_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 1206 | 1.51 GiB | [Download](https://huggingface.co/datasets/CyberHarem/van_gogh_fgo/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/van_gogh_fgo', 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 | 8 | ![](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, blue_overalls, puffy_sleeves, solo, sunflower, blush, looking_at_viewer, smile, striped_headwear, upper_body, black_sleeves, open_mouth, holding_flower, striped_clothes, belt, buckle, navel | | 1 | 13 | ![](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, looking_at_viewer, puffy_sleeves, small_breasts, smile, solo, sunflower, blue_overalls, belt, open_mouth, holding, navel, blush, yellow_headwear, straw_hat | | 2 | 10 | ![](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, belt, black_sleeves, blue_overalls, blush, looking_at_viewer, navel_cutout, solo, striped_clothes, striped_headwear, orange_headwear, buckle, puffy_short_sleeves, open_mouth, simple_background, sweatdrop, upper_body, white_background, zipper_pull_tab, flat_chest, fangs, small_breasts | | 3 | 10 | ![](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, blue_skin, smile, solo, black_dress, looking_at_viewer, see-through_sleeves, bare_shoulders, puffy_sleeves, black_headwear, long_sleeves, gloves | | 4 | 8 | ![](samples/4/clu4-sample0.png) | ![](samples/4/clu4-sample1.png) | ![](samples/4/clu4-sample2.png) | ![](samples/4/clu4-sample3.png) | ![](samples/4/clu4-sample4.png) | 1girl, bare_shoulders, looking_at_viewer, small_breasts, solo, smile, highleg_swimsuit, blush, casual_one-piece_swimsuit, navel_cutout, open_mouth, wet, water | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | blue_overalls | puffy_sleeves | solo | sunflower | blush | looking_at_viewer | smile | striped_headwear | upper_body | black_sleeves | open_mouth | holding_flower | striped_clothes | belt | buckle | navel | small_breasts | holding | yellow_headwear | straw_hat | navel_cutout | orange_headwear | puffy_short_sleeves | simple_background | sweatdrop | white_background | zipper_pull_tab | flat_chest | fangs | blue_skin | black_dress | see-through_sleeves | bare_shoulders | black_headwear | long_sleeves | gloves | highleg_swimsuit | casual_one-piece_swimsuit | wet | water | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:----------------|:----------------|:-------|:------------|:--------|:--------------------|:--------|:-------------------|:-------------|:----------------|:-------------|:-----------------|:------------------|:-------|:---------|:--------|:----------------|:----------|:------------------|:------------|:---------------|:------------------|:----------------------|:--------------------|:------------|:-------------------|:------------------|:-------------|:--------|:------------|:--------------|:----------------------|:-----------------|:-----------------|:---------------|:---------|:-------------------|:----------------------------|:------|:--------| | 0 | 8 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | | | 1 | 13 | ![](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 | | | | | | | | | | | | | | | | | | | | | | 2 | 10 | ![](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 | | | | | | | | | | | | | 3 | 10 | ![](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 | | | | | | 4 | 8 | ![](samples/4/clu4-sample0.png) | ![](samples/4/clu4-sample1.png) | ![](samples/4/clu4-sample2.png) | ![](samples/4/clu4-sample3.png) | ![](samples/4/clu4-sample4.png) | X | | | X | | X | X | X | | | | X | | | | | | X | | | | X | | | | | | | | | | | | X | | | | X | X | X | X |