
# 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, long_hair, bangs, blue_eyes, side_braid, orange_hair, hat, crown_braid, brown_hair, 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](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).

## List of Packages

| Name             |   Images | Size       | Download                                                                                                      | Type       | Description                                                          |
|:-----------------|---------:|:-----------|:--------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw              |      500 | 903.66 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). |
| 800              |      500 | 447.02 MiB | [Download](https://huggingface.co/datasets/CyberHarem/van_gogh_fgo/resolve/main/dataset-800.zip)              | IMG+TXT    | dataset with the shorter side not exceeding 800 pixels.              |
| stage3-p480-800  |     1199 | 962.01 MiB | [Download](https://huggingface.co/datasets/CyberHarem/van_gogh_fgo/resolve/main/dataset-stage3-p480-800.zip)  | IMG+TXT    | 3-stage cropped dataset with the area not less than 480x480 pixels.  |
| 1200             |      500 | 758.20 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 |     1199 | 1.48 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 |         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, kimono, blush, solo, wide_sleeves, looking_at_viewer, floral_print, smile, hair_flower, open_mouth, small_breasts                                                                                 |
|   1 |        15 | ![](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, solo, sunflower, smile, upper_body, holding_flower, blush, open_mouth                                                                                                          |
|   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, solo, blush, sunflower, looking_at_viewer, belt, smile, yellow_headwear, open_mouth, blue_overalls, navel, puffy_sleeves, small_breasts, straw_hat, zipper_pull_tab, long_sleeves, dress, holding |
|   3 |        16 | ![](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, looking_at_viewer, solo, blue_skin, smile, dress, bare_shoulders, long_sleeves, puffy_sleeves, see-through_sleeves, open_mouth                                                                    |
|   4 |         5 | ![](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, blush, looking_at_viewer, smile, solo, bare_shoulders, dress, small_breasts, blue_overalls, on_side, closed_mouth, open_mouth, sweat                                                              |
|   5 |         5 | ![](samples/5/clu5-sample0.png) | ![](samples/5/clu5-sample1.png) | ![](samples/5/clu5-sample2.png) | ![](samples/5/clu5-sample3.png) | ![](samples/5/clu5-sample4.png) | 1girl, highleg_swimsuit, navel, small_breasts, solo, thighs, bare_shoulders, blush, looking_at_viewer, open_mouth, smile, white_one-piece_swimsuit, two-tone_swimsuit, wet, black_sclera, sitting, water |

### Table Version

|   # |   Samples | Img-1                           | Img-2                           | Img-3                           | Img-4                           | Img-5                           | 1girl   | kimono   | blush   | solo   | wide_sleeves   | looking_at_viewer   | floral_print   | smile   | hair_flower   | open_mouth   | small_breasts   | sunflower   | upper_body   | holding_flower   | belt   | yellow_headwear   | blue_overalls   | navel   | puffy_sleeves   | straw_hat   | zipper_pull_tab   | long_sleeves   | dress   | holding   | blue_skin   | bare_shoulders   | see-through_sleeves   | on_side   | closed_mouth   | sweat   | highleg_swimsuit   | thighs   | white_one-piece_swimsuit   | two-tone_swimsuit   | wet   | black_sclera   | sitting   | water   |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:---------|:--------|:-------|:---------------|:--------------------|:---------------|:--------|:--------------|:-------------|:----------------|:------------|:-------------|:-----------------|:-------|:------------------|:----------------|:--------|:----------------|:------------|:------------------|:---------------|:--------|:----------|:------------|:-----------------|:----------------------|:----------|:---------------|:--------|:-------------------|:---------|:---------------------------|:--------------------|:------|:---------------|:----------|:--------|
|   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               |             |              |                  |        |                   |                 |         |                 |             |                   |                |         |           |             |                  |                       |           |                |         |                    |          |                            |                     |       |                |           |         |
|   1 |        15 | ![](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                |        |                   |                 |         |                 |             |                   |                |         |           |             |                  |                       |           |                |         |                    |          |                            |                     |       |                |           |         |
|   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         |             |                  |                       |           |                |         |                    |          |                            |                     |       |                |           |         |
|   3 |        16 | ![](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                     |           |                |         |                    |          |                            |                     |       |                |           |         |
|   4 |         5 | ![](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       |                    |          |                            |                     |       |                |           |         |
|   5 |         5 | ![](samples/5/clu5-sample0.png) | ![](samples/5/clu5-sample1.png) | ![](samples/5/clu5-sample2.png) | ![](samples/5/clu5-sample3.png) | ![](samples/5/clu5-sample4.png) | X       |          | X       | X      |                | X                   |                | X       |               | X            | X               |             |              |                  |        |                   |                 | X       |                 |             |                   |                |         |           |             | X                |                       |           |                |         | X                  | X        | X                          | X                   | X     | X              | X         | X       |


task_categories:text-to-image size_categories:n<1K license:mit art not-for-all-audiences region:us
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us 

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, long\_hair, bangs, blue\_eyes, side\_braid, orange\_hair, hat, crown\_braid, brown\_hair, 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
----------------



### Load Raw Dataset with Waifuc


We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code


List of Clusters
----------------


List of tag clustering result, maybe some outfits can be mined here.


### Raw Text Version



### Table Version




### Load Raw Dataset with Waifuc


We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code


List of Clusters
----------------


List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version ### Table Version
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us 
 ### Load Raw Dataset with Waifuc


We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code


List of Clusters
----------------


List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version ### Table Version
passage: TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us 
### Load Raw Dataset with Waifuc


We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code


List of Clusters
----------------


List of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version