Application of the YOLOv5 Model for the Detection of Microobjects in the Marine Environment

• URL: http://arxiv.org/abs/2211.15218v1
• Date: Mon, 28 Nov 2022 10:58:50 GMT
• Title: Application of the YOLOv5 Model for the Detection of Microobjects in the Marine Environment
• Authors: Aleksandr N. Grekov (1)(2), Yurii E. Shishkin, Sergei S. Peliushenko, Aleksandr S. Mavrin, ((1) Institute of Natural and Technical Systems, (2) Sevastopol State University)
• Abstract summary: The efficiency of using the YOLOV5 machine learning model for solving the problem of automatic de-tection and recognition of micro-objects in the marine environment is studied.
• Score: 101.18253437732933
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The efficiency of using the YOLOV5 machine learning model for solving the problem of automatic de-tection and recognition of micro-objects in the marine environment is studied. Samples of microplankton and microplastics were prepared, according to which a database of classified images was collected for training an image recognition neural network. The results of experiments using a trained network to find micro-objects in photo and video images in real time are presented. Experimental studies have shown high efficiency, comparable to manual recognition, of the proposed model in solving problems of detect-ing micro-objects in the marine environment.

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