METHOD AND SYSTEM FOR CLASSIFYING AN OBJECT IN INPUT DATA USING ARTIFICIAL NEURAL NETWORK MODEL

This disclosure relates to method and system for classifying an object in input data using an artificial neural network (ANN) model. The method may include extracting positive features and orthogonal features associated with the object in the input data, performing a partial classification of the object based on the positive features by a first part of the ANN model, and determining an accuracy of the classification of the object based on the orthogonal features by a second part of the ANN model. The positive features are features uniquely contributing to identification of a class for the object, while the orthogonal features are features not contributing to identification of the class but contributing to identification of one or more of remaining classes.