GENERATING AUGMENTED SENSOR DATA FOR TESTING OPERATIONAL CAPABILITY IN DEPLOYED ENVIRONMENTS

摘要

In various examples, performance capabilities of a consumer—such as inference rates of a neural network executing on underlying hardware—may be tested or demonstrated for producers that have lower production rates than consumption rates of the consumer. For example, augmented data instances may be leveraged to augment production data from the producer in order to increase a frequency of transmission of data instances to a consumer. As a result, a data set including additional or alternative instances of data may be generated to emulate real-world data for demonstrating potential performance capabilities of a consuming algorithm beyond a currently required performance capability corresponding to a producer.