METHOD FOR DISTRIBUTING A LABELING TASK BASED ON DIFFICULTY OF WORK AND APPARATUS USING THE SAME

摘要

According to the present invention, in a method of distributing a labeling task, when a computing device uses a deep learning model that performs a bounding box labeling task to find the location of an object included in an image and classify the object type, Obtaining, by the computing device, a predetermined image including at least one object; The computing device performs an operation while passing the predetermined image through the deep learning model, i) the coordinates of the bounding box for the at least one object, ii) a classification value indicating the type of the at least one object, and iii) Calculating a loss value indicating an error degree of the calculated bounding box; And determining, by the computing device, a difficulty level of the labeling operation based on the loss value and the classification value, and distributing it to workers according to the determined difficulty level.