README.md

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:
  - 1M<n<10M
annotations_creators:
  - no-annotation
source_datasets:
  - zerochan

Zerochan Newest 4M Re-encoded Dataset

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

There are 3842375 images in total. The maximum ID of these images is 4317656. Last updated at 2024-10-25 02:35:57 UTC.

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 ZerochanWebpDataPool

pool = ZerochanWebpDataPool()
pool.batch_download_to_directory(
    # download images #3000000-3000100, any ranges or id lists are okay
    resource_ids=range(3000000, 3000100),

    # save to directory /data/zerochan_webp
    dst_dir='/data/zerochan_webp',
)