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Expand operator samples for YOLO hard negatives
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2026-07-07 21:42:23 +02:00
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@@ -426,16 +426,21 @@ manifests generated for AI handoff include source CRS metadata so pixel-space
model outputs can be transformed to WGS84 GeoJSON coordinates. Current V1 upload
support is limited to GeoTIFF-style rasters and GeoJSON/JSON reference vectors.
To prepare the documented Geel/Mol/Turnhout operator sample pairs inside the
all-in-one runtime container, run:
To prepare the documented operator sample corpus inside the all-in-one runtime
container, run:
```bash
docker exec -it geointel python /app/scripts/prepare_operator_real_data_samples.py --samples geel,mol,turnhout
docker exec -it geointel python3 /app/scripts/prepare_operator_real_data_samples.py
```
The helper writes GeoTIFF orthophotos, GRB GBG building GeoJSON files and
`operator_samples_manifest.json` under `/app/storage/operator-data`. These are
runtime artifacts only and are not committed to Git.
`operator_samples_manifest.json` under `/app/storage/operator-data`. The corpus
contains dense reference AOIs for Geel, Mol, Turnhout, Herentals, Balen, Retie
and Westerlo plus explicitly marked background candidates for Postel-bos,
Lommel-heide and Kasterlee-bos. Background candidates can persist empty GRB
FeatureCollections for negative-tile training; normal reference AOIs still fail
when GRB returns no buildings. These are runtime artifacts only and are not
committed to Git.
For model-quality calibration, run the confidence sweep wrapper: