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@@ -7,22 +7,21 @@ pretty_name: Human Segmentation Dataset
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  # Human Segmentation Dataset
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- [>>> Download Here <<<](https://drive.google.com/drive/folders/1K1lK6nSoaQ7PLta-bcfol3XSGZA1b9nt?usp=drive_link).
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  This dataset was created **for developing the best fully open-source background remover** of images with humans. It was crafted with [LayerDiffuse](https://github.com/layerdiffusion/LayerDiffuse), a Stable Diffusion extension for generating transparent images.
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- The dataset covers a diverse set of humans: various skin tones, clothes, hair styles etc.
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- Since Stable Diffusion is not perfect, the dataset contains images with flaws. Still the dataset is good enough for training background remover models.
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- It contains transparent images of humans (`/humans`) which are randomly combined with backgrounds (`/backgrounds`). Then the ground truth (`/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 more than 5.000 images with people and more than 5.000 diverse backgrounds.
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  # Create Training Dataset
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- The following script creates augmented training and validation data.
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- Notice: download the dataset from [Google Drive](https://drive.google.com/drive/folders/1K1lK6nSoaQ7PLta-bcfol3XSGZA1b9nt?usp=drive_link).
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  ```
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  ./create_dataset.sh
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  If you identify weaknesses in the data, please contact me.
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- I had some trouble with the Hugging Face file upload. You can find the data here: [Google Drive](https://drive.google.com/drive/folders/1K1lK6nSoaQ7PLta-bcfol3XSGZA1b9nt?usp=drive_link).
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  # Changelog
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  - Added more diverse backgrounds (natural landscapes, streets, houses)
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  - Added more close-up images
 
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  # Human Segmentation Dataset
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+ [>>> Download Here <<<](https://drive.google.com/drive/folders/1K1lK6nSoaQ7PLta-bcfol3XSGZA1b9nt?usp=drive_link)
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  This dataset was created **for developing the best fully open-source background remover** of images with humans. It was crafted with [LayerDiffuse](https://github.com/layerdiffusion/LayerDiffuse), a Stable Diffusion extension for generating transparent images.
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+ The dataset covers a diverse set of segmented humans: various skin tones, clothes, hair styles etc. Since Stable Diffusion is not perfect, the dataset contains images with flaws. Still the dataset is good enough for training background remover models.
 
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+ It contains transparent images of humans (`/humans`) which are randomly combined with backgrounds (`/backgrounds`) with an augmentation script.
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  I created more than 5.000 images with people and more than 5.000 diverse backgrounds.
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  # Create Training Dataset
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+ 1. [Download human segmentations and backgrounds](https://drive.google.com/drive/folders/1K1lK6nSoaQ7PLta-bcfol3XSGZA1b9nt?usp=drive_link)
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+ 2. Execute the following script creates augmented training and validation data:
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  ```
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  ./create_dataset.sh
 
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  If you identify weaknesses in the data, please contact me.
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+ I had some trouble with the Hugging Face file upload. This is why you can find the data here: [Google Drive](https://drive.google.com/drive/folders/1K1lK6nSoaQ7PLta-bcfol3XSGZA1b9nt?usp=drive_link).
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  # Changelog
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+ 26.05.2024
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+
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  - Added more diverse backgrounds (natural landscapes, streets, houses)
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  - Added more close-up images