Alekhina Anna Evgenievna (PhD student, assistant at the Department of Information and Control Systems, Institute of Information Technology and Computer Science
The Siberian State University of Science and Technology
)
Proskurin Aleksandr Viktorovich (Candidate of Technical Sciences, Department of Information and Control Systems, Institute of Information Technology and Computer Science
The Siberian State University of Science and Technology
)
Poletykin Semyon Konstantinovich (Master's student, laboratory assistant at the research laboratory of "Machine Learning."
The Siberian State University of Science and Technology
)
Sukhanova Anna Alekseevna (Candidate of Biological Sciences, senior researcher at the laboratory of "High Molecular Compounds."
The Siberian State University of Science and Technology
)
Syrtsov Sergey Nikolayevich (Researcher at the laboratory of "High Molecular Compounds."
The Siberian State University of Science and Technology
)
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This paper presents a deep neural network method for identifying lactic acid-producing microorganisms using the YOLOv8 architecture. It focuses on image database collection, annotation, data augmentation, and pre-training to improve model accuracy. The research aims to create an effective classification system based on visual characteristics. Results indicate that the model achieves an mAP of 89% and recall of 84%, highlighting its efficiency. The findings suggest that modern computer vision technologies can automate microorganism identification, streamlining laboratory and production processes.
Keywords:YOLOv8, lactic acid, microorganisms, computer vision, classification, biotechnology
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Read the full article …
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Citation link:
Alekhina A. E., Proskurin A. V., Poletykin S. K., Sukhanova A. A., Syrtsov S. N. USE OF YOLOV8 ARCHITECTURE FOR IDENTIFICATION OF LACTIC ACID PRODUCING STRAINS // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2025. -№01/2. -С. 5-9 DOI 10.37882/2223-2966.2025.01-2.03 |
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