Leveraging Synthetic Data for Hands-On-Wheel Detection

As presented at CVPR 2022

Find out how combining real and synthetic data can lead to safer driving in autonomous vehicles.

  • Learn how using synthetic data, along with a very small amount of real examples, can boost performance relative to using the same amount of only-real data
  • See a complete iteration of a data-centric approach using the Datagen platform to generate a specific edge case that was lacking in the training dataset
  • Authored by Paul Yudkin, Eli Friedman, Orly Zvitia and Datagen’s CTO, Gil Elbaz

Example images from the synthetic dataset:

Access the
benchmark report