Add Mol false-negative visual review evidence

2026-07-13 20:22:53 +02:00
parent de4e15f166
commit 50952e18f9
11 changed files with 967 additions and 3 deletions
@@ -22,7 +22,8 @@ This file now starts with the current implementation status. Older preparation/b
 - [x] Add a Mol multi-zone operational pack with independent positive holdouts, background control and persisted map-ready AOIs.
 - [x] Execute the Mol pack on live Tower/PostGIS with real orthophotos, GRB references, configured YOLO, persisted QA/QC and a zero-building background control.
 - [x] Persist combined Mol operator evidence under the Unraid storage mount so reports survive all-in-one container replacement.
- [ ] Visually review Mol Postel and Donk false-positive/false-negative evidence, classify the dominant error modes and only then decide whether another model-training pass is justified.
+- [x] Visually review Mol Postel and Donk false-positive/false-negative evidence, classify the dominant error modes and only then decide whether another model-training pass is justified.
+- [ ] Clip detection QA populations to persisted raster/tile coverage and add box-to-footprint matching diagnostics before reconsidering model training.
 - [x] Backend FastAPI foundation, health endpoint and service structure.
 - [x] React/TypeScript frontend foundation and MapLibre workbench.
 - [x] Map layer visibility, opacity and feature property inspection.