# Humans This dataset was created _for developing the best fully open-source background remover_ of images with humans. The dataset was crafted with [LayerDiffuse](https://github.com/layerdiffusion/LayerDiffuse), a Stable Diffusion extension for generating transparent images. It covers a diverse set of 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. The dataset contains transparent images of humans (`/humans`) which were randomly combined with backgrounds (`/backgrounds`). Then the groundtruth (`/gt`) for segmentation was computed based on the transparent images. The results are written to a training and validation dataset. 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.      