Deep Learning-based military vehicle recognition in UAV video footage
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Date
2024
Authors
Безбородов, Владислав
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Abstract
The 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.
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Keywords
Python, PyTorch, Deep Learning, Neural Network, YOLOv8, YOLOv5, coursework