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

# Abandoned Home Detector

This model is designed to detect abandoned homes from images by identifying high-confidence indicators, such as:
- Damaged roofs
- Surface damage
- Boarded-up windows
- Graffiti

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.