Leveraging Synthetic Data for Hands-On-Wheel Detection
Find out how combining real and synthetic data during model training 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 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
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