Benchmark of YOLO v8 with Lacmus dataset
Abstract
This research introduces a specialized Lacmus dataset designed for detecting missing persons in aerial photographs obtained from unmanned aerial vehicles (UAVs). The dataset comprises 1552 images with over 5000 annotated bounding boxes captured at five distinct locations characterized by grassy areas and sparse forests across different seasons. The primary objective of the study was to optimize the accuracy-performance ratio of YOLOv8 models based on the presented dataset. Experimental research has revealed that the best results were achieved using a medium-sized model with increased input image resolution without prior segmentation into smaller resolution images. The developed dataset and research results are intended for practical application in search and rescue operations, which could potentially enhance the efficiency of rescue missions and save human lives.
About the Authors
A. I. Labintsev
Financial University under the Government of the Russian Federation; RTC IT LLC
Russian Federation
Russian Federation
Andrey I. Labintsev - Cand. Sci (Tech.), Assoc. Professor at the Department of Artificial Intelligence, Faculty of Information Technology and Big Data Analysis; Leading Analyst at the Department of Strategic Projects
Moscow
E. I. Kublik
Financial University under the Government of the Russian Federation
Russian Federation
Russian Federation
Evgeny I. Kublik - Cand. Sci (Tech.), Assoc. Prof. at the Department of Information Technology, Faculty of Information Technology and Big Data Analysis
Moscow
G. P. Perevozchikov
Julius-Maximilians-Universität Würzburg
Germany
Germany
Georgiy P. Perevozchikov - Researcher
Würzburg
R. A. Kоchkarov
Financial University under the Government of the Russian Federation
Russian Federation
Russian Federation
Rasul A. Kochkarov - Cand. Sci. (Econ.), Assoc. Prof. Department of Artificial Intelligence, Deputy Dean for Research at the Faculty of Information Technology and Big Data Analysis
Moscow
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Review
For citations:
Labintsev A.I., Kublik E.I., Perevozchikov G.P., Kоchkarov R.A. Benchmark of YOLO v8 with Lacmus dataset. Digital Solutions and Artificial Intelligence Technologies. 2025;1(2):32-43. (In Russ.)
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