ALEXANDRIA, Va., Sept. 23 -- United States Patent no. 12,423,617, issued on Sept. 23, was assigned to Singulos Research Inc. (Burnaby, Canada).
"Scale selective machine learning system and method" was invented by Bradley Quinton (Vancouver, Canada), Trent McClements (Burnaby, Canada), Michael Scott Lee (North Vancouver, Canada) and Scott Chin (Vancouver, Canada).
According to the abstract* released by the U.S. Patent & Trademark Office: "In an aspect, the present disclosure provides a method of generating scale selective training data for use in training a machine learning system to support scale selective image classification tasks, comprising obtaining a plurality of images comprising an object of interest at a plurality of image scales...