We recently had the opportunity to sit down with Toyota Research Institute’s Head of Machine Learning Research, Adrien Gaidon, to:
“When it comes to object tracking, we improved the state of the art. We improved the robustness. It’s not just accuracy, it’s also safety benefits that directly resulted from combining synthetic data with real world data. Always mixing the two is the best of both worlds.” – Adrien Gaidon, Head of Machine Learning Research, Toyota Research Institute
Be sure to also check out TRI’s research papers that use Parallel Domain’s synthetic data to beat state-of-the-art results across several different benchmarks:
Check out our Data Visualizer to easily view samples of our synthetic data for autonomy applications!