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:
  - sankaku

Sankaku 4M Re-encoded Dataset

This is the re-encoded dataset of deepghs/sankaku_full. And all the resized images are maintained here.

There are 16492859 images in total. The maximum ID of these images is 36864051. Last updated at 2025-01-02 12:41:55 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 SankakuWebpDataPool

pool = SankakuWebpDataPool()
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/sankaku_webp
    dst_dir='/data/sankaku_webp',
)