# Noise Pollution Monitoring

VIMS instance for noise-pollution.

## Related Article
[/insights/the-problem-with-official-statistics/](https://landvex.com/insights/the-problem-with-official-statistics/)

## Anomaly Classes
- construction_noise
- traffic_noise
- industrial_noise
- event_noise
- alarm_noise

## 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/noise-pollution/predict`
- WebSocket: `ws://host/ws/noise-pollution/alerts`