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Promote focused small-building detector
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2026-07-13 12:15:27 +02:00
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@@ -137,7 +137,8 @@ This file now starts with the current implementation status. Older preparation/b
- [x] Add deterministic dataset/base/trained-model SHA256 provenance to future operator training summaries.
- [x] Review per-AOI false-negative evidence, expand positive sample/label coverage and verify the resulting candidate improves false-negative rate in every validated AOI.
- [x] Complete rebuild/restart and browser/runtime smoke for the guarded promoted V1 building detector activation.
- [ ] Expand focused small-building training evidence only after reviewing persistent false negatives from the promoted model; do not start another blind training run.
- [x] Expand focused small-building training evidence after reviewing persistent false negatives, train one inactive candidate and pass it through positive, pure-empty and fixed-reference promotion evidence before guarded activation.
- [ ] Review the remaining 5,838 persistent false negatives and the increased false-positive load before any further model training; do not start another blind run.
## Sprint 8 status
@@ -494,7 +495,7 @@ This file now starts with the current implementation status. Older preparation/b
- [x] Regenerate Tower AOI1024 operator samples with paged GRB references, then re-export and audit labels before any new training attempt.
- [x] Improve AOI1024 label quality before retraining: `yolo-building-aoi1024-cleanpx12vis035` now audits `ok` with 14,632 labels, `min_label_px=12`, `min_label_visible_ratio=0.35`, median normalized box area `0.001373291015625` and small-box share `0.0`.
- [x] Train and reject `geointel-building-yolov8s-aoi1024cleanpx12vis035e50-pt` through the positive/background promotion gate.
- [ ] Keep every local YOLO candidate inactive until positive-AOI and hard-negative promotion reports recommend default activation.
- [x] Keep every local YOLO candidate inactive until positive-AOI and hard-negative promotion reports recommend default activation.
# Sprint 171 - Positive AOI expansion and small-building recovery
@@ -505,4 +506,6 @@ This file now starts with the current implementation status. Older preparation/b
- [x] Refresh the full AOI1024 operator manifest on Tower and fetch only missing AOIs.
- [x] Export and audit a low-minimum-label dataset without changing the active model.
- [x] Render and inspect a sample-balanced label contact sheet before training.
- [ ] Finish the inactive expanded-minpx4 candidate and run the full promotion gate.
- [x] Finish the inactive expanded-minpx4 candidate and run the full promotion gate.
- [x] Export the focused 23-sample minpx3 corpus with independent Vosselaar/Grobbendonk validation and external Turnhout/Retie/Westerlo holdouts.
- [x] Train, audit and guarded-activate the focused small-building candidate only after all persisted promotion gates passed.