Abstract: The method is based on consensus analysis of classifications at the object level carried out by learning Systems. To determine persons or groups of persons ability to analyze details, e.g. in visual objects, digitized images of the objects are feed into a computer, where each image is assigned a number of characteristics, N out of Q possible. Some of the characteristics in the images are being selected, after which a person is set to identify the images by determination of the characteristics. The same image in a series of images is presented for the person several times, and if the person is capable to distinguish the images from each other, and furthermore reach the same results with the same images, then the person possess good abilities for type determination of reference signals, e.g. in form of images. The invention is suitable to identify persons, who are gifted for analysis of e.g. biological samples, such as images of semen samples, cancer cells, etc.