Detection of disassembled items

A method, comprising:

• generating, by processing circuitry, a plurality of three-dimensional (3D) representations for a plurality of items;
• assigning, by the processing circuitry, a set of material properties to each of the plurality of 3D representations;
• fragmenting, by the processing circuitry, each 3D representation, of the plurality of 3D representations, into a plurality of objects;
• synthesizing, by the processing circuitry, a plurality of imaging representations, with a set of imaging representations being synthesized for each object fragmented from the plurality of 3D representations;
• augmenting, by the processing circuitry, each imaging representation, of the plurality of imaging representations, with metadata indicating the set of material properties of an object of the plurality of objects associated with the corresponding imaging representation, thereby generating a plurality of augmented imaging representations;
• and
• training, by the processing circuitry, using the plurality of augmented imaging representations, a detection network to generate, in a feature space, a first embedding vector for a first test imaging representation of a first test object, wherein, in the feature space, a distance between the first embedding vector and a second embedding vector generated for a second test object indicates a degree of association of the first test object with the second test object.