Application of YOLO and U-Net models for building material identification on segmented images
This paper is devoted to the analysis of existing convolutional neural networks and experimental verification of the YOLO and U-Net architectures for the identification and classification of building materials based on images of destroyed structures. The aim of the study is to determine the effecti...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Lublin University of Technology
2025-06-01
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| Series: | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska |
| Subjects: | |
| Online Access: | https://ph.pollub.pl/index.php/iapgos/article/view/6968 |
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