Fix YOLO class normalization

docs/AI_PIPELINES.md

@@ -46,6 +46,7 @@ Sprint 8B adds an import-safe real YOLO adapter path:
 - Real YOLO inference uses an existing raster tile manifest generated by the raster tile operation.
 - YOLO raster tiles are normalized to RGB for inference when the tile artifact is not already a 3-band RGB image; the persisted georeferencing still comes from the tile manifest.
 - YOLO pixel boxes are converted to EPSG:4326 detection polygons from tile transform or tile bounds metadata.
+- YOLO class labels are normalized to lowercase for persisted detection records and filtering, while the original model label remains available in detection provenance.
 - Detection runs remain synchronous behind the existing job and analysis-run persistence boundary for Sprint 8B.
 
 ### Sprint 13 YOLO operational preflight
@@ -162,8 +163,9 @@ The script verifies the full persisted chain:
 
 It refuses to run without a real GeoTIFF-style raster and GeoJSON/JSON reference
 vector. It does not seed demo data, use `fixture_mode`, fetch live providers or
-download model weights. A zero detection count is valid as runtime evidence but
-does not prove the model is useful for the target imagery.
+download model weights. A zero detection count is valid as runtime evidence only
+when the selected model genuinely returns no usable detections after canonical
+class filtering; it does not prove the model is useful for the target imagery.
 
 ### Sprint 8C detection visualization and QA status