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--- |
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license: openrail |
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tags: |
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- not-for-all-audiences |
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--- |
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# What is this? |
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This hosts a collaborative effort to clean up the mess that is the danbooru dataset. |
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The Danbooru dataset is a wealth of (mostly) free anime style images, |
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**that are already individually tagged!** |
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The problem being that the images are indiscriminately included. |
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Some pics are explicitly copyrighted and shouldnt be in it. |
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Some have watermarks. |
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Some have legally questionable subject matter. |
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Some just frankly arent good. |
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But the rest... are *really good* |
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So, this is a public effort to pull out just the clean, AI-training-usable images. |
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Note that we do not remove a signature or watermark from an image. We just exclude the image entirely from the set. |
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We are working from |
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https://huggingface.co/datasets/animelover/danbooru2022/ |
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which has the advantage of containing images that have already been somewhat appropriately resized. |
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So now we copy a block of them, and delete the "bad" images. One zip file at a time. |
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(See the "STANDARDS.txt") file, for suggested criteria for deleting images. |
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There are literally hundreds of blocks of data, each block having perhaps 4000-5000 images.https://huggingface.co/datasets/animelover/danbooru2022 |
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So this is an organized, crowd-sourced volunteer effort. |
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# Training tips: |
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While he images should be "usable" for AI training, and they are all individually tagged with .txt files, |
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if you just dumped them all into a trainer, the results would probably not be coherent. |
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You probably will want to take an image directory browser, and select a group of them for either |
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subject matter, or style, and pull those specific ones out for training. |
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You may also want to add in your own custom tags, on top of the ones that are already there. |
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# Currently spoken-for segments: |
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* 0000-0010: ppbrown (data-0001 - data-0003 complete) |
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* 0010: complete |
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* 0040: complete |
