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

Autor:	Grekov, Aleksandr N., Shishkin, Yurii E., Peliushenko, Sergei S., Mavrin, Aleksandr S.
Rok vydání:	2022
Předmět:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Machine Learning Computer Science - Neural and Evolutionary Computing Physics - Instrumentation and Detectors
Druh dokumentu:	Working Paper
Popis:	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. Comment: 9 pages, 8 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2211.15218 Zobrazit plný text záznamu View this record from Arxiv