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http://dx.doi.org/10.30693/SMJ.2018.7.2.34

Red Tide Algea Image Classification using Deep Learning based Open Source  

Park, Sun (광주과학기술원 전기전자컴퓨터공학부)
Kim, Jongwon (광주과학기술원 전기전자컴퓨터공학부)
Publication Information
Smart Media Journal / v.7, no.2, 2018 , pp. 34-39 More about this Journal
Abstract
There are many studies on red tide due to the continuous increase in damage to domestic fish and shell farms by the harmful red tide. However, there is insufficient domestic research of identifying harmful red tide algae that automatically recognizes red tide images. In this paper, we propose a red tide image classification method using deep learning based open source. To solve the problem of recognition of various images of red tide algae, the proposed method is implemented by using tensorflow framework and Google image classification model.
Keywords
Red Tide; Deep Learning; Imge Classification; Open Source;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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