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Launch v42 building training loop
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2026-07-29 20:22:48 +02:00
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@@ -11905,3 +11905,38 @@ Open:
and pure-background results only if every regional calibration gate passes.
- Continue failure-driven, train-only corpus iterations until all objective
gates pass; only then request the queued representative human review.
## 2026-07-29 - V42 regional corpus expansion and v43 loop handoff
Changed:
- Added and acquired 14 independent train-only AOIs spanning Flemish coastal,
port, dunes, industrial and ribbon contexts plus Walloon architecture,
rural, industrial, quarry, forest and field contexts.
- Built immutable 156-sample v42 evidence, applied the governed temporal
filters, refined the new labels with SAM2 on CUDA and retiled all new source
labels with 384 px tiles and 128 px overlap without uncovered labels.
- Rotated the training corpus while retaining the exact protected v31
calibration, test and background assignments.
- Added the versioned v43 command for calibration-first evaluation followed by
at most 20 failure-driven CUDA iterations. It starts from the rejected v38
iteration-5 checkpoint and shortens patience to 8 because all preceding runs
selected epoch 2 while later epochs overfit the protected regional pattern.
Verified:
- Corpus audit: 156 samples, no automated failures and no reported leakage.
- Training tile audit: `ok`; 2,160 tiles, 56,474 valid labels, zero invalid or
missing labels, 270 negative tiles and zero repeated background negatives.
- New-AOI visual renderer: `ok`; 56 rendered tiles spanning all 14 added AOIs,
with zero missing inputs, invalid rows or low-variance imagery. Manual
AI-assisted inspection found labels aligned with visible roof footprints and
retained the deliberately sparse hard-negative contexts.
- NVIDIA preflight: RTX 4080 SUPER idle and available before the v43 handoff.
Open:
- Complete v43 calibration convergence, then and only then evaluate the closed
protected test and pure-background sets.
- Obtain final representative human contact-sheet approval, promote the exact
checksummed model, and redeploy from the canonical Tower directory.