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Viper dataset

The Viper dataset is a visual perception benchmark to facilitate both low-level and high-level vision tasks, e.g., optical flow and semantic segmentation. It consists of videos from a realistic virtual world (i.e. GTA gameplay), which are collected while driving, riding and walking in diverse ambient conditions (day, sunset, snow, rain, and night). Each frame (resolution: 1920 × 1080) is annotated with pix-level labels, i.e., segmentation label map.

Data and Resources

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Cite this as

Aayush Bansal, Shugao Ma, Deva Ramanan, Yaser Sheikh (2024). Dataset: Viper dataset. https://doi.org/10.57702/iywas1al

DOI retrieved: November 25, 2024

Additional Info

Field Value
Created November 25, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.1908.09514
Citation
  • https://doi.org/10.48550/arXiv.1808.05174
  • https://doi.org/10.48550/arXiv.2004.06502
Author Aayush Bansal
More Authors
Shugao Ma
Deva Ramanan
Yaser Sheikh
Homepage https://arxiv.org/abs/1606.03698