Abstract: A computing device, method and computer program product are provided to generate training data for a machine learning system including training data representative of one or more edge scenes. In the context of a computing device, the computing device includes a simulator configured in accordance with a sampling algorithm to create a plurality of different scenes, including one or more edge scenes, within a scenario that is at least partially defined by one or more parametric attributes. The computing device also includes a physics engine generate training data representative of the plurality of different scenes including the one or more edge scenes. The physics engine is configured to modify the one or more parametric attributes to generate additional and different training data based upon another plurality of different scenes created by the simulator within another scenario that is at least partially defined by one or more parametric attributes, as modified.