公开(公告)号：US20240087310A1

公开(公告)日：2024-03-14

申请号：US18063781

申请日：2022-12-09

Applicant: Macau University of Science and Technology

Inventor： Jianqing LI ,  Anran Yuan ,  Binbin WANG ,  Hailin ZOU ,  Jierui WANG

IPC: G06V20/10 ,  G06F16/51 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82

CPC classification number: G06V20/188 ,  G06F16/51 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82 ,  G06V2201/07

Abstract: The present disclosure relates to a method and system for multi-source algae image target detection, and relates to the field of monitoring of algal bloom events in fresh water. The method includes first crawling images of algae of a selected species by using a built automated algae crawling tool, where the images include all formats; classifying and labeling algae in the algae images, and forming a source domain dataset by using all the classified and labeled algae images; performing transfer learning by using a faster recurrent revolutional neural network (Faster RCNN) with reference to a target domain dataset, to obtain a multi-source algae image target detection model; and finally performing identification and classification by using the multi-source algae image target detection model.