2 research outputs found
Application of the YOLOv5 Model for the Detection of Microobjects in the Marine Environment
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 figure