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.gitattributes
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README.md
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# danbooru-artists-10k
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## Dataset Summary
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This dataset contains images from 10,000 artists collected from Danbooru. The images are primarily sourced from a mirror [here](https://huggingface.co/datasets/KBlueLeaf/danbooru2023-webp-4Mpixel). However, there are six images that are missing/broken in this mirror, which have been directly sourced from Danbooru. Each artist is represented by 30 images. This dataset is intended for use in metric learning or fine-grained classification tasks related to art styles. The artists are split into train, validation, and test sets at a ratio of 80%, 10%, and 10%, respectively. Similarly, each artist's 30 images are also split into train, validation, and test sets at the same ratio.
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## Size
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300,000 images (10,000 artists * 30 images/artist)
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## Format
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The images are stored as WebP files packaged in `a10k.zip`. The dataset splits are provided in `split.txt`. Each line of `split.txt` follows this format: `artist_split image_split artist_name file_path`.
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a10k.z01
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a10k.zip
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split.txt
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size 12499359
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