Adapting simulation data to real-world conditions encountered by physical processes

One or more non-transitory computer-readable media storing instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of:

• receiving a first simulated image of a first object;
• performing, by at least one machine learning model, one or more operations on the first simulated image to generate a first augmented image of the first object;
• and
• transmitting the first augmented image as training data to an additional machine learning model that, once trained, controls a behavior of a physical process.

A system, comprising:

• one or more memories that store instructions, and one or more processors that are coupled to the one or more memories and, when executing the instructions, are configured to:
• receive a first simulated image of a first object;
• perform one or more operations on the first simulated image to generate a first augmented image of the first object;
• and
• transmitting the first augmented image as training data to a machine learning model that, once trained, controls a behavior of a physical process.