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---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of Apple/APPLe (Reverse:1999)
This is the dataset of Apple/APPLe (Reverse:1999), containing 80 images and their tags.
The core tags of this character are `hat, brown_hair, sunglasses, medium_hair, cabbie_hat, bow, short_hair, brown_eyes, black_bow`, 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 | 80 | 129.91 MiB | [Download](https://huggingface.co/datasets/CyberHarem/apple_reverse1999/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | -- | -- |
| stage3-p480-1200 | 175 | 206.60 MiB | [Download](https://huggingface.co/datasets/CyberHarem/apple_reverse1999/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | 51 | 124 |
### 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/apple_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 | 6 |  |  |  |  |  | 1girl, blue_dress, blue_neckerchief, red_jacket, apple, white_background, :d, arm_up, black_bowtie, black_footwear, chibi, full_body, hand_up, open_jacket, open_mouth, puffy_long_sleeves, red_socks, simple_background, solo, traditional_bowtie, v-shaped_eyebrows, backpack, black_bag, blue_bow, scarf |
| 1 | 10 |  |  |  |  |  | 1girl, long_sleeves, outdoors, blue_dress, solo, red_jacket, red_socks, apple, blue_neckerchief, boots, holding, black_bowtie, black_footwear, black_headwear, brown_footwear, full_body, sitting, backpack, cloud, hand_up, open_mouth, short_dress, sky, smile |
| 2 | 11 |  |  |  |  |  | 1girl, red_jacket, blue_neckerchief, blue_dress, holding, indoors, open_mouth, smile, food, solo_focus, teeth, bag, looking_at_viewer, shirt, sitting, socks, table, white_headwear, chair, cup, open_jacket, puffy_long_sleeves, window |
| 3 | 6 |  |  |  |  |  | red_jacket, 1girl, upper_body, baseball_cap, black_headwear, blue_neckerchief, long_sleeves, simple_background, solo, blue_scarf, blue_shirt, open_jacket, open_mouth, smile, sparkle, white_background |
| 4 | 9 |  |  |  |  |  | 1girl, looking_at_viewer, solo, apple, blue_neckerchief, red_jacket, smile, upper_body, white_headwear, backpack, black_bowtie, open_jacket, shirt, closed_mouth, hand_up, simple_background, blonde_hair, holding, orange_jacket, puffy_long_sleeves, white_background |
| 5 | 12 |  |  |  |  |  | 1girl, red_jacket, off_shoulder, solo, long_sleeves, open_mouth, red_headwear, sleeveless_dress, green_dress, looking_at_viewer, eyewear_on_head, :d, beret, black_bowtie, red_socks, apple, blue_dress, open_jacket, upper_teeth_only, white_footwear, aqua_dress, belt, knee_boots, outdoors, shirt, sky |
| 6 | 8 |  |  |  |  |  | 1girl, solo, looking_at_viewer, smile, red_headwear, beret, leg_warmers, shoulder_bag, badge, hand_on_own_hip, hand_up, headphones_around_neck, holding_food, red_shirt, red_socks, simple_background, skirt, white_background, yellow_eyes, bare_shoulders, boots, feet_out_of_frame, fruit, full_body, open_mouth, pizza_slice, red_footwear, sleeveless_dress, standing, upper_teeth_only |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | blue_dress | blue_neckerchief | red_jacket | apple | white_background | :d | arm_up | black_bowtie | black_footwear | chibi | full_body | hand_up | open_jacket | open_mouth | puffy_long_sleeves | red_socks | simple_background | solo | traditional_bowtie | v-shaped_eyebrows | backpack | black_bag | blue_bow | scarf | long_sleeves | outdoors | boots | holding | black_headwear | brown_footwear | sitting | cloud | short_dress | sky | smile | indoors | food | solo_focus | teeth | bag | looking_at_viewer | shirt | socks | table | white_headwear | chair | cup | window | upper_body | baseball_cap | blue_scarf | blue_shirt | sparkle | closed_mouth | blonde_hair | orange_jacket | off_shoulder | red_headwear | sleeveless_dress | green_dress | eyewear_on_head | beret | upper_teeth_only | white_footwear | aqua_dress | belt | knee_boots | leg_warmers | shoulder_bag | badge | hand_on_own_hip | headphones_around_neck | holding_food | red_shirt | skirt | yellow_eyes | bare_shoulders | feet_out_of_frame | fruit | pizza_slice | red_footwear | standing |
|----:|----------:|:----------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------|:--------|:-------------|:-------------------|:-------------|:--------|:-------------------|:-----|:---------|:---------------|:-----------------|:--------|:------------|:----------|:--------------|:-------------|:---------------------|:------------|:--------------------|:-------|:---------------------|:--------------------|:-----------|:------------|:-----------|:--------|:---------------|:-----------|:--------|:----------|:-----------------|:-----------------|:----------|:--------|:--------------|:------|:--------|:----------|:-------|:-------------|:--------|:------|:--------------------|:--------|:--------|:--------|:-----------------|:--------|:------|:---------|:-------------|:---------------|:-------------|:-------------|:----------|:---------------|:--------------|:----------------|:---------------|:---------------|:-------------------|:--------------|:------------------|:--------|:-------------------|:-----------------|:-------------|:-------|:-------------|:--------------|:---------------|:--------|:------------------|:-------------------------|:---------------|:------------|:--------|:--------------|:-----------------|:--------------------|:--------|:--------------|:---------------|:-----------|
| 0 | 6 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 10 |  |  |  |  |  | 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 | 11 |  |  |  |  |  | X | 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 | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 9 |  |  |  |  |  | X | | X | X | X | X | | | X | | | | X | X | | X | | X | X | | | X | | | | | | | X | | | | | | | X | | | | | | X | X | | | X | | | | X | | | | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 12 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | |
| 6 | 8 |  |  |  |  |  | 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 | X | X | X |
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