METHOD, APPARATUS, AND SYSTEM FOR GENERATING SYNTHETIC IMAGE DATA FOR MACHINE LEARNING

An approach is provided for generating synthetic image data for machine learning. The approach, for instance, involves determining, by a processor, a set of parameters for indicating an action by oneor more objects. The action is a dynamic movement of the one or more objects through a geographic space over a period of time. The approach also involves processing the set of parameters to generate synthetic image data. The synthetic image data includes a computer- generated image sequence of the one or more objects performing the action in the geographic space over the period of time. The approach further involves automatically labeling the synthetic image data with at least one label representing the action, the set of parameters, or a combination thereof. The approach further involves providing the labeled synthetic image data for training or evaluating a machine learning model to detect the action. 提供了一种用于生成用于机器学习的合成图像数据的方法。例如，所述方法涉及由处理器确定用于指示一个或多个对象的动作的一组参数。所述动作是所述一个或多个对象在一段时间内通过地理空间的动态移动。所述方法还涉及处理所述一组参数以生成合