GENERATING TRAINING IMAGES FOR MACHINE LEARNING-BASED OBJECT RECOGNITION SYSTEMS

A method, performed by a computing device, for generating training image data for a machine learning-based object recognition system is described. The method comprises receiving generic image data ofan object type, receiving recorded image data related to the object type, and modifying the generic image data with respect to at least one imaging-related parameter. The method further comprises determining a degree of similarity between the modified generic image data and the recorded image data, and, when the determined degree of similarity fulfills a similarity condition, storing the modifiedgeneric image data as generated training image data of the object type. Further described are a computing device, a computer program product, a system and a motor vehicle. 描述了由计算装置执行的用于生成用于基于机器学习的对象识别系统的训练图像数据的方法。该方法包括接收对象类型的通用图像数据，接收与对象类型相关的记录图像数据，以及相对于至少个成像相关参数修改通用图像数据。该方法进步包括确定修改的通用图像数据和记录图像数据之间的相似度，并且当确定的相似度满足相似性条件时，存储所修改的通用图像数据作为所生成的对象类型的训练图像数据。进步描述了计算装置、计算机程序产品、系统和机动车辆。