Datasets:
Tasks:
Image Segmentation
Sub-tasks:
semantic-segmentation
Size Categories:
10K<n<100K
Source Datasets:
original
License:
annotations_creators: [] | |
language: [] | |
language_creators: [] | |
license: | |
- cc0-1.0 | |
multilinguality: [] | |
pretty_name: Anime Segmentation | |
size_categories: | |
- 10K<n<100K | |
source_datasets: | |
- original | |
tags: [] | |
task_categories: | |
- image-segmentation | |
task_ids: | |
- semantic-segmentation | |
## Dataset Description | |
A segmentation dataset for anime character | |
My project: [anime-segmentation](https://github.com/SkyTNT/anime-segmentation) | |
### Dataset Summary | |
| Dir | Description | Format | Images | | |
| ---- | ---- | ---- | ---- | | |
| bg | background images | jpg | 8057 | | |
| fg | foreground images, transparent background | png | 11802 | | |
| imgs | real images with background and foreground| jpg | 1111 | | |
| masks| labels for imgs | jpg | 1111 | | |
Total size: 18GB | |
### Collection Method | |
Collect background from [character_bg_seg_data](https://github.com/ShuhongChen/bizarre-pose-estimator#download) | |
Collect foreground from danbooru website. | |
Collect imgs and masks from [AniSeg](https://github.com/jerryli27/AniSeg#about-the-models) and danbooru website. | |
I use [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN) to restore the background images. | |
I clean the dataset using [DeepDanbooru](https://github.com/KichangKim/DeepDanbooru) first then manually, to make sue all foreground is anime character. | |
### Contributions | |
Thanks to [@SkyTNT](https://github.com/SkyTNT) for adding this dataset. | |
Thanks to [@ShuhongChen](https://github.com/ShuhongChen) for [character_bg_seg_data](https://github.com/ShuhongChen/bizarre-pose-estimator#download) | |
Thanks to [@jerryli27](https://github.com/jerryli27) for [AniSeg](https://github.com/jerryli27/AniSeg#about-the-models) | |