Classification of buildings images by damage level
| dc.contributor.advisor | Кузьменко, Дмитро | uk_UA |
| dc.contributor.author | Кузнецова, Анна | uk_UA |
| dc.date.accessioned | 2025-09-09T14:18:51Z | |
| dc.date.available | 2025-09-09T14:18:51Z | |
| dc.date.issued | 2025 | |
| dc.description.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. | en_US |
| dc.identifier.uri | https://ekmair.ukma.edu.ua/handle/123456789/36546 | |
| dc.language.iso | en_US | en_US |
| dc.status | first published | en_US |
| dc.subject | Image Classification | en_US |
| dc.subject | Shelling | en_US |
| dc.subject | Convolutional Neural Network | en_US |
| dc.subject | Deep Learning | en_US |
| dc.subject | Computer Vision | en_US |
| dc.subject | term paper | en_US |
| dc.title | Classification of buildings images by damage level | en_US |
| dc.type | Other | en_US |
Files
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description: