license: apache-2.0
tags:
- art
pretty_name: Human Segmentation Dataset
Human Segmentation Dataset
This dataset was created for developing the best fully open-source background remover of images with humans. The dataset was crafted with LayerDiffuse, a Stable Diffusion extension for generating transparent images.
The resulting model will be similar to RMBG-1.4, but with open training data/process and commercially free to use.
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, no yet uploaded).
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 2.549 for validation with diverse backgrounds. The backgrounds are optimized for art exhibitions because this is where I want to apply the background remover.
Support
If you identify weaknesses in the data, please contact me.
Examples
