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# Danbooru SFW 512 General Filter Datset V1
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## Original Dataset Citation
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```bibtex
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# Danbooru SFW 512 General Filter Datset V1
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This dataset is meant to be used for training a simple binary classifier that can filter the
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Danbooru SFW 2021 dataset. There are two classes: "accepted" and "rejected", with "accepted"
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representing samples that should pass through the filter and "rejected" representing samples
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that should not.
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Generallly, to be accepted a sample should meet the following criteria:
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1. No horizontal/vertical bars, or bars that can be removed easily by filling in the background
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color. This precludes any samples with bars which cut through any part of the image that is not
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a solid color block (i.e. patterns, detailed backgrounds, and foreground elements).
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2. Not overtly sexual. The SFW subset of Danbooru 2021 which this dataset is based on has
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already removed almost all nudity, this criterion simply removes some of the borderline NSFW images.
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3. Somewhat aesthetic.
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Please note that dataset samples were selected manually, so there was somewhat of a tradeoff between
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speed and accuracy. Despite this, I've managed to train a binary classifier up to 85% test
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accuracy on this dataset. I've also observed pretty good performance when using that classifier on
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entirely new portions of the base dataset.
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## Original Dataset Citation
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```bibtex
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