# Contradiction Gap Analysis

VIMS instance for contradiction-gap.

## Related Article
[/insights/contradiction-gap/](https://landvex.com/insights/contradiction-gap/)

## Anomaly Classes
- official_mismatch
- reported_vs_observed
- data_conflict
- unrecorded_change
- false_claim

## 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/contradiction-gap/predict`
- WebSocket: `ws://host/ws/contradiction-gap/alerts`