Update README.md
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README.md
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@@ -11,10 +11,12 @@ The Danbooru dataset is a wealth of (mostly) free anime style images,
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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 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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We are working from
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https://huggingface.co/datasets/animelover/danbooru2022/commits/main/data
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There are literally hundreds of blocks of data, each block having perhaps 4000-5000 images.
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So this is an organized, crowd-sourced volunteer effort.
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#
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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 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 complete)
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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/commits/main/data
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There are literally hundreds of blocks of data, each block having perhaps 4000-5000 images.
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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 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-0002 complete)
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