CyberHarem/marcus_reverse1999

---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---

# Dataset of Marcus/马库斯 (Reverse:1999)

This is the dataset of Marcus/马库斯 (Reverse:1999), containing 46 images and their tags.

The core tags of this character are `hat, long_hair, blue_eyes, brown_hair, cabbie_hat, blue_headwear`, 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 | Images-head | Images-others |
|:-----------------|---------:|:-----------|:--------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|:--------------|:----------------|
| raw | 46 | 95.12 MiB | [Download](https://huggingface.co/datasets/CyberHarem/marcus_reverse1999/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | -- | -- |
| stage3-p480-1200 | 116 | 152.83 MiB | [Download](https://huggingface.co/datasets/CyberHarem/marcus_reverse1999/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | 48 | 68 |

### 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/marcus_reverse1999',
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 | 16 |  |  |  |  |  | 1girl, beret, long_sleeves, solo, blue_scarf, hairclip, braid, looking_at_viewer, closed_mouth, coat, upper_body, white_dress, black_footwear, full_body, holding_book, shoes |
| 1 | 14 |  |  |  |  |  | 1girl, long_sleeves, solo, upper_body, white_scarf, holding_lantern, black_gloves, jacket, black_headwear, brown_gloves, closed_mouth, blue_coat, looking_at_viewer |
| 2 | 6 |  |  |  |  |  | 1girl, blue_coat, brown_gloves, long_sleeves, solo, white_scarf, brown_footwear, full_body, holding, looking_at_viewer, open_coat, open_mouth, simple_background, belt, blush, boots, neckerchief, teeth, wavy_hair, white_background, white_dress, white_socks |
| 3 | 6 |  |  |  |  |  | 1girl, solo, upper_body, looking_at_viewer, neckerchief, white_background, brown_gloves, closed_mouth, long_sleeves, simple_background, white_scarf, blue_jacket, coat, holding, shirt |

### Table Version

| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | beret | long_sleeves | solo | blue_scarf | hairclip | braid | looking_at_viewer | closed_mouth | coat | upper_body | white_dress | black_footwear | full_body | holding_book | shoes | white_scarf | holding_lantern | black_gloves | jacket | black_headwear | brown_gloves | blue_coat | brown_footwear | holding | open_coat | open_mouth | simple_background | belt | blush | boots | neckerchief | teeth | wavy_hair | white_background | white_socks | blue_jacket | shirt |
|----:|----------:|:-----------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------|:--------|:--------|:---------------|:-------|:-------------|:-----------|:--------|:--------------------|:---------------|:-------|:-------------|:--------------|:-----------------|:------------|:---------------|:--------|:--------------|:------------------|:---------------|:---------|:-----------------|:---------------|:------------|:-----------------|:----------|:------------|:-------------|:--------------------|:-------|:--------|:--------|:--------------|:--------|:------------|:-------------------|:--------------|:--------------|:--------|
| 0 | 16 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 14 |  |  |  |  |  | X | | X | X | | | | X | X | | X | | | | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | |
| 2 | 6 |  |  |  |  |  | X | | X | X | | | | X | | | | X | | X | | | X | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | |
| 3 | 6 |  |  |  |  |  | X | | X | X | | | | X | X | X | X | | | | | | X | | | | | X | | | X | | | X | | | | X | | | X | | X | X |