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--- |
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task_categories: |
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- image-classification |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Danbooru SFW 512px Character Filter |
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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. It is similar to [db-sfw-512-general-filter-dataset](https://huggingface.co/datasets/hayden-donnelly/db-sfw-512-general-filter-dataset) |
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but it has different class criteria. Just like the general dataset there are two |
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classes: "accepted" and "rejected", with "accepted" representing samples that should pass |
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through the filter and "rejected" representing samples that should not. |
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To be accepted, a sample should meet the following criteria: |
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1. Focused on a character or set of characters. This includes non-humans like animals, humanoid |
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mechs, and anthropomorphized robots, but not vehicles and other non-anthropomorphized machines. |
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For example, pokemon, gundams, and r2-d2 all meet this criterion, but not tanks, robotic arms, |
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and helicopter drones. |
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3. Character(s) are clear and not overwhelmed by the background. This means the character(s) |
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should not be tiny compared to a large background. They should also have enough contrast with |
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the background that they don't blend into it. |
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4. Character(s) are not presented in a noisy comic strip. Some comic strips are allowed if they |
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are simple and the central character(s) are easy to extract via cropping. Note that the second part of |
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this criterion is a bit inconsistent and generally errs on the side of rejecting all comic |
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strips. |
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## Original Dataset Citation |
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```bibtex |
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@misc{danbooru2021, |
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author={Anonymous and Danbooru community and Gwern Branwen}, |
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title={Danbooru2021: A Large-Scale Crowdsourced and Tagged Anime Illustration Dataset}, |
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howpublished={\url{https://gwern.net/danbooru2021}}, |
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url={https://gwern.net/danbooru2021}, |
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type={dataset}, |
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year={2022}, |
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month={January}, |
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timestamp={2022-01-21}, |
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note={Accessed: 2023-12-06} |
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} |
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``` |