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Desciption of the dataset

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  - split: train
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  path: data/train-*
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  ---
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- This is a test for the readme
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- #test
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- ##tests
 
 
 
 
 
 
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  - split: train
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  path: data/train-*
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  ---
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+ # Stable Diffusion Dataset For 3D images generation
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+ This is a set of 1.030 pairs prompt-image filtered and extracted from the 3D dataset [Objaverse](https://objaverse.allenai.org/)
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+ This Dataset was used to finetune [Stable Diffusion 2](https://huggingface.co/stabilityai/stable-diffusion-2) in order to generate good (isolated, full object ...) images to feed an image to 3D model after that (like [Triposr](https://github.com/VAST-AI-Research/TripoSR) or [CRM](https://huggingface.co/Zhengyi/CRM)).
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+ The issue we faced here was to chose which image to keep as most Objaverse objects had no title, no description or an inadequate one (for instance : School Project n°45). Thus the images have been sorted manually and by keeping around 20% of them we managed to build a 1000 big image dataset.
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