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umautobots/driving-in-the-matrix

0
View on GitHub↗
0 stars·0 forks·9 views

Driving In The Matrix

Features

  • Synthetic Datasets - Synthetic urban driving dataset for autonomous vehicle training.

Star history

Star history chart for umautobots/driving-in-the-matrixStar history chart for umautobots/driving-in-the-matrix

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Frequently asked questions

What are the main features of umautobots/driving-in-the-matrix?

The main features of umautobots/driving-in-the-matrix are: Synthetic Datasets.

Which projects share features with umautobots/driving-in-the-matrix?

Projects with overlapping indexed features include: facebookresearch/house3d — #. gulvarol/surreal — Gül Varol, Javier Romero, Xavier Martin, Naureen Mahmood, Michael J. Black, Ivan Laptev and Cordelia Schmid, Learning…

Projects sharing features with Driving In The Matrix

These projects share indexed features with Driving In The Matrix. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • facebookresearch/house3dfacebookresearch avatar

    facebookresearch/House3D

    1,202View on GitHub↗

    #

    C++
    View on GitHub↗1,202
  • gulvarol/surrealgulvarol avatar

    gulvarol/surreal

    617View on GitHub↗

    Gül Varol, Javier Romero, Xavier Martin, Naureen Mahmood, Michael J. Black, Ivan Laptev and Cordelia Schmid, Learning from Synthetic Humans, CVPR 2017.

    Lua
    View on GitHub↗617