Object detection using transfer learning for underwater robot

Chia Chin Wang, Hooman Samani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

In this paper the usage of Transfer Learning method for object detection in underwater environment is experienced and evaluated. Deep learning method of YOLO is utilized for detection of different types of fish underwater. A ROV equipped with camera is employed for video streaming underwater and the data has been analyzed on the main computer Our experimental results confirmed improvement in the mAP by 4% using transfer learning.

Original languageEnglish
Title of host publication2020 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2020
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)9781728198231
DOIs
Publication statusPublished - Aug 2020
Event2020 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2020 - Taipei, Taiwan, Province of China
Duration: 19 Aug 202021 Aug 2020

Publication series

NameInternational Conference on Advanced Robotics and Intelligent Systems, ARIS
Volume2020-August
ISSN (Print)2374-3255
ISSN (Electronic)2572-6919

Conference

Conference2020 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2020
Country/TerritoryTaiwan, Province of China
CityTaipei
Period19/08/2021/08/20

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