Abstract
An image selection method executed by a processor using memory includes: predicting a degree of missed detection based on a number of undetected objects in each of a plurality of unlabeled images by inputting the plurality of unlabeled images into an undetected object prediction model; and selecting one or more unlabeled images to be labeled from among the plurality of unlabeled images, based on the degree of missed detection of each of the plurality of unlabeled images.
Full Text
What is claimed is:
An image selection method executed by a processor using memory includes: predicting a degree of missed detection based on a number of undetected objects in each of a plurality of unlabeled images by inputting the plurality of unlabeled images into an undetected object prediction model; and selecting one or more unlabeled images to be labeled from among the plurality of unlabeled images, based on the degree of missed detection of each of the plurality of unlabeled images.
Timeline
Filed
04/28/2026Published
09/03/2026Granted
Not AvailableIPC Codes(2)
G06V 10/764:using classification, e.g. of video objects
G06V 10/778:Active pattern-learning, e.g. online learning of image or video features