AR-ASSISTED SYNTHETIC DATA GENERATION FOR TRAINING MACHINE LEARNING MODELS

摘要

The present disclosure is directed to systems and methods for generating synthetic training data using augmented reality (AR) techniques. For example, images of a scene can be used to generate a three-dimensional mapping of the scene. The three-dimensional mapping may be associated with the images to indicate locations for positioning a virtual object. Using an AR rendering engine, implementations can generate an augmented image depicting the virtual object within the scene at a position and orientation. The augmented image can then be stored in a machine learning dataset and associated with a label based on aspects of the virtual object.