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                <identifier>oai:data.mendeley.com/j8z5cfcn33.1</identifier>
                <datestamp>2025-04-29T07:56:16Z</datestamp>
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    <dc:creator>Shinde, Rohit</dc:creator>
    <dc:title>Predictive Structural Risk Evaluation Through Crack Imaging and Environmental Condition Metrics</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc: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.</dc:description>
    <dc:subject>Machine Learning</dc:subject>
    <dc:subject>Crack</dc:subject>
    <dc:subject>Structural Health Monitoring</dc:subject>
    <dc:subject>Image Analysis</dc:subject>
    <dc:contributor>Nalawade, Tanmay</dc:contributor>
    <dc:contributor>Malakji, Riyan</dc:contributor>
    <dc:contributor>Karbhari, Adeeb</dc:contributor>
    <dc:contributor id="https://orcid.org/0000-0002-9555-1475">Kadam, Rutuja</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/j8z5cfcn33.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/j8z5cfcn33.1</dc:identifier>
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    <dc:date>2025-04-29T07:56:16Z</dc:date>
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