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- # Humans
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- This dataset was created _for developing the best fully open-source background remover_ of images with humans.
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  The dataset was crafted with
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  [LayerDiffuse](https://github.com/layerdiffusion/LayerDiffuse), a Stable Diffusion extension for generating transparent images.
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  The dataset contains transparent images of humans (`/humans`) which were randomly combined with backgrounds (`/backgrounds`).
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  Then the groundtruth (`/gt`) for segmentation was computed based on the transparent images. The results are written to a training and validation dataset.
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- I created 4.558 images with people which I have augmented to a set of 9.116 images for training and 2.451 for validation with diverse backgrounds. The backgrounds are optimized for art exhibitions because this is where I want to apply the background remover.
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- ![](training/im/abkkxppiexuxe_tmpv33um3if.png)
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- ![](training/gt/abkkxppiexuxe_tmpv33um3if.png)
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-
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- ![](training/im/acbacuetckljf_tmpt7t65s1b.png)
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- ![](training/gt/acbacuetckljf_tmpt7t65s1b.png)
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-
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- ![](training/im/adnupzjsdffcx_tmpgkxlvmky.png)
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- ![](training/gt/adnupzjsdffcx_tmpgkxlvmky.png)
 
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+ # Human Segmentation Dataset
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+ This dataset was created **for developing the best fully open-source background remover** of images with humans.
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  The dataset was crafted with
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  [LayerDiffuse](https://github.com/layerdiffusion/LayerDiffuse), a Stable Diffusion extension for generating transparent images.
 
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  The dataset contains transparent images of humans (`/humans`) which were randomly combined with backgrounds (`/backgrounds`).
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  Then the groundtruth (`/gt`) for segmentation was computed based on the transparent images. The results are written to a training and validation dataset.
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+ I created 4.558 images with people which I have augmented to a set of 9.116 images for training and 2.549 for validation with diverse backgrounds. The backgrounds are optimized for art exhibitions because this is where I want to apply the background remover.
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+ ![](training/im/adcoyjxgttjef_tmp3tb7atsz.png)
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+ ![](training/gt/adcoyjxgttjef_tmp3tb7atsz.png)