Modelo basado en YOLOv8 para la detección automática de daños en tejados residenciales

Modelo basado en YOLOv8 para la detección automática de daños en tejados residenciales

This study developed an automated image recognition model for inspecting residential roofs using the YOLOv8 architecture to identify three types of damage. The methodology involved images from 167 buildings captured by drones and annotated in CVAT, which were used to train and test the model. YOLOv...

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Bibliographic Details
Main Authors: Alisson Souza Silva, Arthur Rios de Azevedo, Fernando Humberto de Almeida Moraes Neto, Paulo Henrique Ferreira da Silva
Format: Article
Language:English
Published: Asociación Latinoamericana de Control de Calidad, Patología y Recuperación de la Construcción 2025-01-01
Series:Revista ALCONPAT
Subjects:
maintenance management
machine learning
You Only Look Once (YOLO)
roof inspection
rooftop assessment
Online Access:https://mail.revistaalconpat.org/index.php/RA/article/view/783
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https://mail.revistaalconpat.org/index.php/RA/article/view/783

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