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--- |
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license: other |
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task_categories: |
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- image-classification |
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- zero-shot-image-classification |
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- text-to-image |
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language: |
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- en |
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tags: |
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- art |
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- anime |
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- not-for-all-audiences |
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size_categories: |
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- 1M<n<10M |
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annotations_creators: |
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- no-annotation |
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source_datasets: |
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- zerochan |
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--- |
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# Zerochan Newest 4M Re-encoded Dataset |
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This is the re-encoded dataset of [deepghs/zerochan_full](https://huggingface.co/datasets/deepghs/zerochan_full). And all the resized images are maintained here. |
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There are 3842375 images in total. The maximum ID of these images is 4317656. Last updated at `2024-10-25 02:35:57 UTC`. |
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# How to Painlessly Use This |
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Use [cheesechaser](https://github.com/deepghs/cheesechaser) to quickly get images from this repository. |
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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. |
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```python |
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from cheesechaser.datapool import ZerochanWebpDataPool |
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pool = ZerochanWebpDataPool() |
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pool.batch_download_to_directory( |
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# download images #3000000-3000100, any ranges or id lists are okay |
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resource_ids=range(3000000, 3000100), |
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# save to directory /data/zerochan_webp |
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dst_dir='/data/zerochan_webp', |
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) |
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``` |
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