Datasets:
metadata
license: other
task_categories:
- image-classification
- zero-shot-image-classification
- text-to-image
language:
- en
tags:
- art
- anime
- not-for-all-audiences
size_categories:
- 10M<n<100M
annotations_creators:
- no-annotation
source_datasets:
- gelbooru
Gelbooru 4M Re-encoded Dataset
This is the re-encoded dataset of deepghs/gelbooru_full. And all the resized images are maintained here.
There are 10102796 images in total. The maximum ID of these images is 11191859. Last updated at 2025-01-03 06:11:05 JST
.
How to Painlessly Use This
Use cheesechaser to quickly get images from this repository.
Before using this code, you have to grant the access from this gated repository. And then set your personal HuggingFace token into HF_TOKEN
environment variable to give the code authorization for this repository.
from cheesechaser.datapool import GelbooruWebpDataPool
pool = GelbooruWebpDataPool()
pool.batch_download_to_directory(
# download images #7000000-7000100, any ranges or id lists are okay
resource_ids=range(7000000, 7000100),
# save to directory /data/gelbooru_webp
dst_dir='/data/gelbooru_webp',
)