1. A method for determining a property map of an object based on at least a first image of the object, comprising: defining a structure of reference pairs, wherein each reference pair has at least two entries, wherein the first entry represents a property value, and wherein the second entry preferably represents a group of image points belonging together, which are particularly extracted from MR images, wherein the group includes at least one interesting image point which corresponds to the property values; providing a plurality of training pairs, wherein a structure of the training pairs corresponds to the structure of reference pairs, and wherein the entries of the respective training pairs are known; determining an assignment between the first entries and the other entries of the training pairs by machine learning for predicting in this manner a corresponding property value for an arbitrary image point of the first image.