Abstract: The presently disclosed subject matter relates to a method for recognizing objects of a predefined type from among a set of types, within a set of digital images, including detecting an object of this predefined type within a digital image of the set, and determining a zone of the image encompassing the detected object, generating a signature by a convolutional neural network on the basis of this zone, allowing identification of the object in a one-to-one manner, determining on the basis of the signature of a set of attributes, storing in a database a record relating to the object associating the signature with the set of attributes, wherein the neural network is trained on a learning suite composed of a first set formed of objects associated with a set of attributes and of a second set formed of objects not associated with a set of attributes.

Abstract: The presently disclosed subject matter relates to a method for recognizing objects of a predefined type from among a set of types, within a set of digital images, including detecting an object of this predefined type within a digital image of the set, and determining a zone of the image encompassing the detected object, generating a signature by a convolutional neural network on the basis of this zone, allowing identification of the object in a one-to-one manner, determining on the basis of the signature of a set of attributes, storing in a database a record relating to the object associating the signature with the set of attributes, wherein the neural network is trained on a learning suite composed of a first set formed of objects associated with a set of attributes and of a second set formed of objects not associated with a set of attributes.