The invention relates to an attribute selection method for making statistical learning of descriptors intended to enable automatic recognition and/or detection of an object from a set of images, method characterized by the following steps: obtain a mask of the object in each image containing said object to be recognized, define and select at least one set of descriptors as a function of their geometric shape and/or apparent specific physical characteristics, calculate attributes associated with this shape and said specific physical characteristics, sort the descriptors as a function of their respective scores, select descriptors with the highest scores to perform said statistical learning.