# M9 Module Dataflow Checklist

Every module must declare its dataflow.

## Dataset Manager

Input:

- file upload,
- project id,
- optional area id.

Processing:

- validate extension,
- store raw file,
- inspect metadata,
- persist dataset record,
- schedule optional processing job.

Output:

- dataset record,
- status,
- metadata.

## Raster Lab

Input:

- raster dataset id,
- optional area geometry.

Processing:

- read raster metadata,
- compute bounds,
- inspect bands,
- clip if requested,
- generate preview/tiles later.

Output:

- metadata,
- preview descriptor,
- derived dataset if clipped.

## Vector Lab

Input:

- vector dataset id,
- optional area geometry.

Processing:

- load features,
- validate CRS,
- compute feature count,
- compute bounds,
- clip if requested.

Output:

- vector metadata,
- clipped layer,
- operation report.

## Detection Lab

Input:

- raster dataset id,
- model id,
- threshold,
- classes.

Processing:

- tile raster,
- run model adapter,
- merge detections,
- georeference outputs,
- persist detection layer.

Output:

- detection dataset/layer,
- analysis run,
- metrics.

## Segmentation Lab

Input:

- raster dataset id,
- model id,
- classes/prompts.

Processing:

- generate masks,
- polygonize,
- clean geometry,
- compute areas,
- persist layer.

Output:

- mask path,
- polygon layer,
- metrics.

## QA/QC Lab

Input:

- reference vector layer,
- predicted vector layer,
- matching threshold.

Processing:

- spatial match,
- IoU calculation,
- precision/recall/F1,
- false positive/negative features.

Output:

- QA metrics,
- findings,
- QA overlay layers.