Transforming sensor data to train models used with different sensor configurations

A system comprising:

• a processor;
• and
• a memory storing instructions which when executed by the processor configure the processor to:
• receive first data from a first set of sensors arranged in a first configuration;
• transform the first data to a second data to train a model to recognize third data captured by a second set of sensors arranged in a second configuration, wherein the second configuration is different than the first configuration;
• train the model based on the second set of sensors sensing the second data to recognize the third data captured by the second set of sensors arranged in the second configuration;
• detect one or more objects in the first data;
• separate the objects from background in the first data;
• transform perspectives of the objects from 2D to 3D using a machine learning based model;
• and
• transform a perspective of the background from 2D to 3D using a computer graphics technique.