Predictive Structural Risk Evaluation Through Crack Imaging and Environmental Condition Metrics
Published: 29 April 2025| Version 1 | DOI: 10.17632/j8z5cfcn33.1
Contributors:
Rohit Shinde, , , , Description
This dataset contains annotated images of structural cracks in real-world buildings, captured under various environmental conditions. Each image is paired with detailed metadata including crack type (vertical/horizontal), dimensions (length, width, depth), structure type (wall, column, pillar), material type, age of the structure, humidity, moisture level, temperature, crack location, load-bearing status, and environmental context (urban/rural). The images were collected from diverse residential and commercial structures using standard smartphone cameras, and all measurements were manually recorded using digital tools.
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Institutions
Vishwakarma Institute of Information Technology
Categories
Machine Learning, Crack, Structural Health Monitoring, Image Analysis