1. A method for evaluating iconicity of an image comprising: receiving a plurality of test images, each test image including an object in a same selected class; for each of the test images: computing an image descriptor for the test image, the image descriptor being a multidimensional statistical representation of the test image; computing properties of the test image related to iconicity, including: a) a direct measure of iconicity which is computed based on the image descriptor, with a direct iconicity prediction model which has been learned on multidimensional descriptors of a set of training images, each training image labeled with an iconicity score, b) at least one class-independent property, and c) at least one class-dependent property; and computing a measure of iconicity of the test image based on the computed properties, the computing of the measure of iconicity comprising aggregating the computed properties of the test image with an aggregating function in which the computed properties are weighted with respective weights; and outputting information based on the computed measures of iconicity, wherein at least one of the computing of the properties and the computing the measure of iconicity of the image is performed with a processor.