Classification of buildings images by damage level
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Date
2025
Authors
Кузнецова, Анна
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Abstract
This course paper focuses on the development of a machine learning model for classifying destroyed buildings based on the type of damage caused. It explores and compares different approaches to model creation and training, using real-life data of buildings in Ukraine that were damaged as a result of Russian military aggression. The study aims to contribute to effective damage estimation and planning for urban reconstruction in the context of the ongoing war in Ukraine.
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Keywords
Image Classification, Shelling, Convolutional Neural Network, Deep Learning, Computer Vision, term paper