# Urban Decay Measurement

VIMS instance for urban-decay.

## Related Article
[/insights/how-to-measure-urban-decay/](https://landvex.com/insights/how-to-measure-urban-decay/)

## Anomaly Classes
- building_deterioration
- abandoned_property
- trash_accumulation
- broken_infrastructure
- illegal_dumping

## Quick Start

1. Add training images to `data/raw/`
2. Annotate using LabelImg (YOLO format)
3. Run preprocessing: `python src/detector.py`
4. Train model: `python src/detector.py --train`
5. Run inference: `python src/detector.py --predict data/test/image.jpg`

## API

Once deployed, access via:
- REST: `POST /api/urban-decay/predict`
- WebSocket: `ws://host/ws/urban-decay/alerts`