公开(公告)号：US20210224609A1

公开(公告)日：2021-07-22

申请号：US16960072

申请日：2019-12-10

Applicant: INSTITUTE OF AUTOMATION, CHINESE ACADEMY OF SCIENCES

Inventor： Guodong YANG ,  Yunong TIAN ,  En LI ,  Zize LIANG ,  Min TAN ,  Fengshui JING ,  Zishu GAO ,  Hao WANG ,  Yuansong SUN ,  Sixi LU

IPC: G06K9/62 ,  G06N3/08

Abstract: A multi-label object detection method based on an object detection network includes: selecting an image of an object to be detected as an input image; based on a trained object detection network, obtaining a class of the object to be detected, coordinates of a center of the object to be detected, and a length and a width of a detection rectangular box according to the input image; and outputting the class of the object to be detected, the coordinates of the center of the object to be detected, and the length and the width of the detection rectangular box. The method of the present invention can perform real-time and accurate object detection on different classes of objects with improved detection speed and accuracy, and can solve the problem of object overlapping and occlusion during the object detection.