Record AOI1024 runtime QA evidence

CHANGELOG.md

@@ -15,6 +15,7 @@
 - Prepared a larger Tower operator sample manifest at `/app/storage/operator-data/operator-samples-1024` using explicit `1024x1024` rasters and doubled AOI half-size.
 - Exported and audited `/app/storage/operator-data/yolo-building-aoi1024-visible025`: 144 tiles, 117 positive tiles, 27 negative tiles, 15,079 labels and `min_label_visible_ratio=0.25`; audit remains `needs_attention` because median label area is still below gate.
 - Trained inactive local model asset `geointel-building-yolov8s-aoi1024visible025e50-pt` from the AOI1024 dataset. Ultralytics validation ended at approximately precision `0.275`, recall `0.331`, mAP50 `0.188` and mAP50-95 `0.0716`.
+- Redeployed Tower and verified the previously failing Geel low-threshold persisted YOLO/QA path now completes instead of returning `504`; the run produced F1 `0.09136212624584718`, so the model remains rejected for default use.
 - The candidate remains inactive and must pass persisted detection QA/QC plus background/hard-negative promotion gates before default activation.
 - No API contract, migration, product feature, provider fetching, fake detection data or active model default changed.
 

docs/CODEX_EXECUTION_LOG.md

@@ -5960,13 +5960,19 @@ Open:
   - output model: `/app/models/geointel-building-yolov8s-aoi1024visible025e50.pt`
   - model asset id: `geointel-building-yolov8s-aoi1024visible025e50-pt`
   - final Ultralytics validation: precision approximately `0.275`, recall `0.331`, mAP50 `0.188`, mAP50-95 `0.0716`
+- Tower live runtime validation after deploy:
+  - browser/runtime verification passed on `http://192.168.10.150:1202`
+  - the previous Geel 1024px upload `413` no longer occurs
+  - the previous Geel low-threshold persisted YOLO/QA `504` no longer occurs
+  - Geel `threshold=0.05` completed with 2,612 detections, 5,091 raw candidates, 2,479 suppressed duplicates, precision `0.06316998468606431`, recall `0.165` and F1 `0.09136212624584718`
 
 ## Known limitations
 
 - The AOI1024 tile audit is still `needs_attention`: median normalized box area is below gate and small-box share remains high.
 - Several dense 1024 GRB reference exports reached the current 1000-feature source cap. Treat those samples as useful but potentially reference-capped until the provider query path supports paging or smaller dense AOIs are chosen.
 - The trained model is intentionally inactive. It needs persisted detection QA/QC matrix evidence and background/hard-negative evidence before default promotion.
+- The first completed persisted Geel QA run confirms the candidate is not promotion-ready: recall improves at low threshold, but false-positive pressure is too high.
 
 ## Next recommended pass
 
-- Rebuild/deploy the runtime upload-limit fix, rerun the four-sample AOI1024 persisted QA matrix, then decide whether label/source paging or additional AOI quality work comes before another training run.
+- Run the remaining AOI1024 persisted QA samples and background/hard-negative checks, then decide whether label/source paging or additional AOI quality work comes before another training run.

docs/TODO.md

@@ -467,6 +467,7 @@ This file now starts with the current implementation status. Older preparation/b
 - [x] Train a new inactive AOI1024 YOLOv8s candidate with visible-label filtering.
 - [x] Fix the all-in-one/compose Nginx upload limit after live 1024px GeoTIFF uploads hit `413 Request Entity Too Large`.
 - [x] Fix the all-in-one/compose Nginx proxy timeout after low-threshold persisted YOLO/QA runs hit `504 Gateway Timeout`.
-- [ ] Rerun persisted QA/QC matrix for `geointel-building-yolov8s-aoi1024visible025e50-pt` after redeploying the upload-limit fix.
+- [x] Rerun the previously failing Geel low-threshold persisted QA/QC path for `geointel-building-yolov8s-aoi1024visible025e50-pt` after redeploying upload/timeout fixes.
+- [ ] Finish remaining AOI1024 positive-sample matrix coverage for `geointel-building-yolov8s-aoi1024visible025e50-pt`.
 - [ ] Add GRB paging or smaller dense AOI sampling before trusting 1000-feature-capped dense reference exports as full ground truth.
 - [ ] Keep every local YOLO candidate inactive until positive-AOI and hard-negative promotion reports recommend default activation.