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license: cc-by-sa-4.0 |
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task_categories: |
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- image-to-text |
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- image-classification |
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- image-to-image |
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- image-feature-extraction |
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language: |
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- en |
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tags: |
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- art |
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- lineart |
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- multipleviews |
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- 2048pixels |
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- spreadsheet |
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- charactersheet |
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- ai-generated |
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- sports |
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- sportswear |
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- pose-estimation |
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- VLM-oriented |
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pretty_name: Sportwears Mates Lineart Dataset |
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size_categories: |
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- n<1K |
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# Sportwears Mates Lineart Dataset |
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Now this is a different type of image dataset. |
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Here it's not beautiful images, nor taggings. |
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These are spreadsheets in multiple views of sportsman in sportswear. |
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Oh, I admit this soundtrack sounds epic now (non-commercial, not part of license, no derivative work allowed) |
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Title: Stand As One (Stadium Chant Edition) |
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<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/643765fb946fb080c6fcec87/8vcApA0028QyZ3hy2NMnM.mpga"></audio> |
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Despite not being *exactly* good for image generative models (which generate images), the idea is the other end of such chain. |
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It can be fairly used for *image recognition* for VLM captioner models. To increase their pool of styles and detection of details , and the layout and style makes it easier for their segmentation. |
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Why not woman? Sh'mon, you have tons of women for everything. we need to balance out genders. |
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So this is a collection of lineart spreasheets ai-generated. |
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I have not captioned them, because it is useless. Captioners cannot take the advantage of seeing them as spreadsheets, and for training models it serves nothing. |
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this is oriented for angles, study and inspiration. You can use your open-pose and as AI to paint them. You can crop a pose you need and use it even for open-pose. |
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Its up to your own creativity. |
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Oh, good luck at captioning, but make sure to add "multiple-views", maybe NAI and Illustrious models understand it. Many others will take the those images as whole (likely.) |
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This dataset is offered *as is*. |
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It's mainly oriented for research and study. |
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