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Microsoft Project AirSim provides a rich set of tools that enables you to rapidly create custom machine learning capabilities. Realistic sensor models, pre-trained neural networks, and extensible autonomy building blocks accelerate the training of aerial agents. Building on the foundation of years of research, Project AirSim has the unique ability to generate an unprecedented amount of simulated data needed to train machine learning models using thousands of environments and billions of parameters. Simulation provides the necessary ground truth data—eliminating the need for manual labeling, resulting in significant cost savings.

Learn more here: https://aka.ms/projectairsim