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license: apache-2.0
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language:
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license: apache-2.0
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language:
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# Abandoned Home Detector
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This model is designed to detect abandoned homes from images by identifying high-confidence indicators, such as:
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- Damaged roofs
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- Surface damage
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- Boarded-up windows
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- Graffiti
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The model is built using YOLOv8, optimized for detecting these indicators with polygon-based annotations, and supports PyTorch framework for deployment. It can assist in tasks such as urban area analysis, property risk assessment, and disaster recovery planning.
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