A Practical Image Augmentation Method for Construction Safety Using Object Range Expansion Synthesis

A Practical Image Augmentation Method for Construction Safety Using Object Range Expansion Synthesis

This study aims to propose a practical and realistic synthetic data generation method for object recognition in hazardous and data-scarce environments, such as construction sites. Artificial intelligence (AI) applications in such dynamic domains require domain-specific datasets, yet collecting real-...

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Bibliographic Details
Main Authors: Jaemin Kim, Ingook Wang, Jungho Yu, Seulki Lee
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Buildings
Subjects:
synthetic data
artificial intelligence performance
machine learning
construction sites
Online Access:https://www.mdpi.com/2075-5309/15/9/1447
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