1. A method for efficient feature data analysis, comprising: determining, by at least one electronic circuit, a first number of screen pages needed to verify that each of a plurality of clusters of detected features comprises only detected features which were correctly identified during feature extraction/detection operations as being of the same feature class as a selected feature of an image, said first number of screen pages equal to a total number of the clusters; determining, by the electronic circuit, a second number of screen pages needed to verify that each of a plurality of singular detected features was correctly identified during feature extraction/detection operations as being of the same feature class as the selected feature of the image, said second number of screen pages equal to a reference number resulting from dividing a total number of detected features by a parallelization factor; selecting, by the electronic circuit, one of a plurality of different validation processes based on a result of comparing a value of the first number of screen pages to a value of the second number of screen pages; and performing the selected one of the plurality of validation processes to verify that each of the detected features was correctly identified during the feature extraction/detection operations as being of the same feature class as the selected feature of the image.