Corpus ID: 235790740

Unity Perception: Generate Synthetic Data for Computer Vision

@article{Borkman2021UnityPG,
  title={Unity Perception: Generate Synthetic Data for Computer Vision},
  author={S. Borkman and Adam Crespi and S. Dhakad and Sujoy Ganguly and Jonathan Hogins and Y. Jhang and Mohsen Kamalzadeh and Bowen Li and Steven Leal and Pete Parisi and Cesar Romero and Wesley Smith and Alex Thaman and Samuel Warren and Nupur Yadav},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.04259}
}
We introduce the Unity Perception package which aims to simplify and accelerate the process of generating synthetic datasets for computer vision tasks by offering an easy-to-use and highly customizable toolset. This opensource package extends the Unity Editor and engine components to generate perfectly annotated examples for several common computer vision tasks. Additionally, it offers an extensible Randomization framework that lets the user quickly construct and configure randomized simulation… Expand
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