feat: scope detection QA to inference coverage

2026-07-14 11:25:28 +02:00
parent aae6315981
commit 948e50b5e1
17 changed files with 762 additions and 7 deletions
@@ -26,7 +26,7 @@ This file now starts with the current implementation status. Older preparation/b
 - [x] Separate persisted database layers from available analysis-result overlays with an explicit Map content mode.
 - [x] Persist combined Mol operator evidence under the Unraid storage mount so reports survive all-in-one container replacement.
 - [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] 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.
@@ -411,7 +411,7 @@ This file now starts with the current implementation status. Older preparation/b
 - [x] Bound populated Project, Dataset, QA, AI and Export panels so long histories do not push core actions thousands of pixels down-page.
 - [x] Move Data create/upload forms and Map/AI diagnostics into explicit progressive disclosures.
 - [x] Reorder AI Labs around run controls and Map around layer selection plus the MapLibre canvas.
- [ ] Harden detection QA coverage and matching diagnostics before any further model training.
+- [x] Harden detection QA coverage and matching diagnostics before any further model training.

 - [x] Replace the one-page workflow panel stack with a task-based workbench shell.
 - [x] Add persistent project/AOI/dataset/layer context.