Patent ID: 11967137
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. A computer system, the computer system comprising:
one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising:
receiving an annotated image dataset comprising rectangles which surround objects to be detected and labels which specify a class to which an object belongs;
calculating areas of high and low probability of rectangle distribution for each class of objects within images of the dataset;
applying a correction factor to confidence values of object prediction results, obtained during validation of a trained object detection (OD) model, depending on a class label and a rectangle location of an object prediction result;
calculating an accuracy of the trained OD model;
increasing the correction factor and re-calculating the accuracy of the trained OD model with every increase; and
selecting an optimal correction factor which yields a highest accuracy.