Identification of Myers-Briggs Type Indicator Personality Types by Photograph

The paper considers the use of deep learning methods in the task of determining a personality type based on photography. The neural network architecture was developed and trained on the data collected specifically for this task. The Myers-Briggs Types Indicator model was used for the typology. This model distinguishes 4 binary scales in personality types. Good model accuracy in each class and high performance of all the metrics used were the results. The resulting model can be used in processing signals from video surveillance cameras and in other areas related to image analysis.