METHOD FOR PROVIDING A TRAINING DATA SET QUANTITY, METHOD FOR TRAINING A CLASSIFIER, METHOD FOR CONTROLLING A VEHICLE, COMPUTER-READABLE STORAGE MEDIUM AND VEHICLE

摘要

Classification systems require a large quantity of training data representing different operating conditions. Creating said training data is complex and expensive. The invention relates to a method for providing a training data set quantity (30), in particular for an artificial neural network (32, 40), comprising the following steps: loading a base training data set (31), which specifies assignments (15, 15') of image data (14, 14') to characterizations (16, 16'); processing the base training data set (31) using at least one optical filter (19) and producing an output training data set (31'), which comprises the processed base training data set (31); providing a training data set quantity comprising the base training data set (31) and the output training data set (31'), the base training data set (31) being associated with properties of an optically transparent reference medium, in particular a reference windshield, and the output training data set (31') being associated with properties of an optically transparent training medium, in particular a training windshield, the optical filter (19) being defined in accordance with the installation position of the optically transparent reference medium (20) relative to an image sensor (23).