|
--- |
|
license: apache-2.0 |
|
tags: |
|
- art |
|
pretty_name: Human Segmentation Dataset |
|
--- |
|
# Human Segmentation Dataset |
|
|
|
[GDrvie Download: 61.1 GB](https://drive.google.com/drive/folders/1K1lK6nSoaQ7PLta-bcfol3XSGZA1b9nt?usp=drive_link) |
|
|
|
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. |
|
|
|
The resulting model will be similar to [RMBG-1.4](https://huggingface.co./briaai/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 |
|
|
|
 |
|
 |
|
|
|
 |
|
 |
