VEIS: Virtual Environment for Instance Segmentation

This dataset contains synthetic images which are obtained from an environment created in the Unity3D framework, called VEIS (Virtual Environment for Instance Segmentation). we used the Unity3D game engine, in which one can manually design scenes with common urban structures and add freely-available 3D objects, representing foreground classes, to the scene.

Released in: VEIS: Virtual Environment for Instance Segmentation

Source: arXiv - Effective Use of Synthetic Data for Urban Scene Semantic Segmentation

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Summary

This dataset contains synthetic images which are obtained from an environment created in the Unity3D framework, called VEIS (Virtual Environment for Instance Segmentation). we used the Unity3D game engine, in which one can manually design scenes with common urban structures and add freely-available 3D objects, representing foreground classes, to the scene.

61305

Images in dataset

2018

Year Released

Key Links & Stats

VEIS: Virtual Environment for Instance Segmentation

@inproceedings{sadat2018effective, title={Effective Use of Synthetic Data for Urban Scene Semantic Segmentation}, author={Sadat Saleh, Fatemeh and Sadegh Aliakbarian, Mohammad and Salzmann, Mathieu and Petersson, Lars and Alvarez, Jose M}, booktitle={Proceedings of the European Conference on Computer Vision (ECCV)}, pages={84--100}, year={2018} }

scenebox

Modalities

  1. Still Image
  2. Video

Verticals

  1. Satellite
  2. A/V

ML Task

  1. Object Detection
  2. Autonomous Vehicles

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