Learning method for a machine learning system for detecting and modeling an object in an image, corresponding computer program product and device

A device for detecting and modeling at least one object represented in at least one image and/or at least one characteristic region of said at least one image,

• characterized in that it comprises at least one processor and/or at least one dedicated computing machine configured to implement:
• generating a plurality of augmented reality images comprising a real image and at least one virtual element representative of said at least one object and/or of said at least one characteristic region;
• obtaining, for each augmented reality image, learning information comprising, for at least one given virtual element of said augmented reality image:
• a segmentation model of the given virtual element obtained from said given virtual element, and
• either a set of contour points corresponding to a parametrization of the given virtual element, or said parametrization, obtained from said given virtual element;
• and
• learning from the plurality of augmented reality images and said learning information, delivering a set of parameters enabling said machine learning system to detect said at least one object and/or said at least one characteristic region in at least one given image and to determine corresponding modeling information comprising:
• a segmentation model of said at least one object and/or of said at least one characteristic region, and
• either a set of contour points corresponding to a parametrization of said at least one object and/or of said at least one characteristic region, or said parametrization.