Machine-learning method on vectorized three-dimensional model and learning system thereof

A learning system, comprising:

• a three-dimensional camera;
• and
• a computer system, wherein including a database, and a processor, which is used to execute a machine learning method on a vectorized three-dimensional model, wherein the machine learning method comprising:
• scanning a target object to obtain stereoscopic scan files of the target object by the three-dimensional camera;
• calculating and constructing the vectorized three-dimensional model of the target object from the stereoscopic scan files, wherein the vectorized three-dimensional model is constructed by the computer system with an automated program controlling the three-dimensional camera to capture images of components of the target object at various distances, poses, and angles, so as that the vectorized three-dimensional model of the target object contain detailed representations of the components at various poses relative to the target object;
• converting the vectorized three-dimensional model to a specific file format that can be used for rendering and using a rendering program to render plural and diversified first synthetic images;
• applying image augmentation algorithms on the first synthetic images to generate plural and diversified second synthetic images;
• and
• forming the training dataset and a testing dataset according to the first and the second synthetic images stored in the database.