Deep Learning-based military vehicle recognition in UAV video footage

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dc.contributor.advisorКузьменко, Дмитро
dc.contributor.authorБезбородов, Владислав
dc.date.accessioned2024-10-31T09:18:15Z
dc.date.available2024-10-31T09:18:15Z
dc.date.issued2024
dc.description.abstractThe course work addresses the creation of neural network models for detecting military vehicles from unmanned aerial vehicle (UAV) images using deep learning. The work describes the analysis and comparison of YOLO models, and the search for the optimal approach in terms of size and accuracy of military vehicle detection. The solution is planned to be embedded into the hardware UAVs in the future.en.US
dc.identifier.urihttps://ekmair.ukma.edu.ua/handle/123456789/32112
dc.language.isoenen.US
dc.statusfirst publisheduk_UA
dc.subjectPythonen.US
dc.subjectPyTorchen.US
dc.subjectDeep Learningen.US
dc.subjectNeural Networken.US
dc.subjectYOLOv8en.US
dc.subjectYOLOv5en.US
dc.subjectcourseworken.US
dc.titleDeep Learning-based military vehicle recognition in UAV video footageen.US
dc.typeOtheruk_UA
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