Synthetic Human Dataset Generator

This is the official repository of the paper "A novel Framework for the Generation of Synthetic Datasets with Applications to Hand Detection and Segmentation". It contains the configurable framework and explanations on how to use it.

Examples of generated images and their respective annotation.

List of Content

Folder	Description
DemoGenerator/	A demo generator that can also be used as a template. It shows the capabilities of our framework.
HandPostureGenerator/	Complete Blender files and MakeHuman models used to generate our hand gesture dataset.
VideoTutorial/	Video tutorials on how to use the framework.

How to cite

Uhlmann, T., Dadgar, A., Weigand, F., and Brunnett, G. (2023). A novel framework for the generation of synthetic datasets with applications to hand detection and segmentation. 1st International Conference on Hybrid Societies (accepted paper).

@INPROCEEDINGS{SyntheticHumanDatasetFramework23,  
    author={Uhlmann, Tom and Dadgar, Amin and Weigand, Felix and Brunnett, Guido},  
    booktitle={1st International Conference on Hybrid Societies},   
    title={A novel Framework for the Generation of Synthetic Datasets with Applications to Hand Detection and Segmentation},   
    year={2023},  
    volume={},  
    number={},  
    doi={},
    note={(accepted paper)}
}

Acknowledgment

This project was originally developed at Chemnitz University of Technology and funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project-ID 416228727 – CRC 1410.