Data augmentation and feature selection for table decomposition

A method for training a machine learning model, the method comprising:

• obtaining a first training set comprising a first training document including a table with a border;
• training, using the first training set, an object detection model during a first training phase;
• obtaining a second training set comprising a second training document including the table without the border;
• and
• training, using the second training set, the object detection model during a second training phase.

An apparatus comprising:

• at least one processor;
• at least one memory storing instruction executable by the at least one processor;
• and
• an object detection model comprising parameters stored in the at least one memory and trained to generate location information for an element of a table of an unstructured document based on font information of the unstructured document.