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pipeline_tag: object-detection |
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license: apache-2.0 |
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language: |
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- en |
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--- |
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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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