METHOD AND SYSTEM FOR PREDICTING THE PRESENCE OF ENVIRONMENTAL CONDITIONS IN IMAGE DATA

The present disclosure relates to methods and systems for generating a trained learning algorithm configured to predict the presence of environmental conditions in image data, a vehicle for utilizing the algorithm, as well as methods and systems for generating the training data for the automated supervised training of a learning algorithm. In some embodiments the training data is in the form of labelled images generated by a camera device arranged on a vehicle, where the labels are indicative of an environmental sensor activation or deactivation signal, or a user-input signal which serve as a supervisory signal for the training of the learning algorithm.