derive cleaner min-4px YOLO corpus
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@@ -12638,3 +12638,36 @@ Open:
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not independent object-level accuracy. A future benchmark must aggregate or
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deduplicate objects before uncertainty claims.
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- No source label, frozen dataset, model weight or live runtime was changed.
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## 2026-08-09 - Immutable min-4px derived corpus
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### Improved
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- Added a deterministic derived-corpus builder that preserves parent hashes,
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copies imagery, records every removed source row and refuses to turn a
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positive tile into an unlabeled negative. It creates no release manifest or
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human-review claim.
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- Derived `yolo-building-aoi1024-reviewedexp6-minpx4-derived-r1` from the
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frozen min-3px corpus. Exactly 1,812 marginal labels were removed; all 252
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tiles and 77,380 labels remain, with zero excluded tiles.
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- Corrected the quality-audit console message from `passed` to `completed`, so
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a machine-readable `needs_attention` status is no longer contradicted by
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human-facing output.
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### Verified on Tower
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- Structural audit: zero missing/invalid labels and zero sub-4-pixel rows.
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- Relationship audit: zero exact/near duplicates and 41 possible nesting
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pairs, down from 43.
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- Geometry audit: 10 plausible extreme-aspect rows, down from 26; tile-edge
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rows fell from 5,079 to 4,840 without a blanket edge deletion.
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- Cross-tile audit: zero reconstructed train/validation crossings.
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- Inspected four full contact-sheet pages covering all 252 tiles and 77,380
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labels plus the focused nine-tile extreme-aspect sheet. Pure backgrounds
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remain empty and sparse contexts remain distinct.
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### Decision and limitation
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- The min-4px corpus is preferred for future experimental work, but remains
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explicitly training/release-ineligible until real human review and governed
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release evidence exist. The active GPU model was not changed.
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+6
-3
@@ -1164,9 +1164,12 @@ This file now starts with the current implementation status. Older preparation/b
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sheets and retain immutable hashes.
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- [x] Reconstruct exact cross-tile interior objects and prove that overlap
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repeats 40,031 label rows but causes zero reconstructed train/val crossings.
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- [ ] Build the next immutable experimental corpus with `min_label_px >= 4`
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and compare the existing 0.35 edge-visibility policy against a separately
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versioned stricter ablation before any new governed training.
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- [x] Build and fully audit an immutable experimental corpus with
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`min_label_px=4`; retain 252 tiles and 77,380 labels with zero sub-4-pixel
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rows, missing files, invalid labels or cross-split reconstructed objects.
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- [ ] Compare the existing 0.35 edge-visibility policy against a separately
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versioned stricter ablation from original source geometry before any new
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governed training; do not approximate this by dropping every edge label.
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- [ ] Convert the AI-assisted ledger into no stronger claim than experimental
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triage; a real human must independently review and sign the frozen artifacts
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before the governed training wrapper may unlock.
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@@ -161,3 +161,29 @@ The edge sample shows expected clipped buildings under the 0.35 minimum-visible
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policy. Raising that value may reduce partial-target pressure, but it must be a
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separately versioned ablation because removing all 5,079 rows without checking
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the original visible fraction would be unsound.
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## Derived min-4px experimental corpus
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The row-level finding was converted into a new immutable derived corpus rather
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than changing the historical dataset. The derivation is checksum-bound to the
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79,192-label source summary and removes only labels whose smallest 512-tile
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dimension is below 4 pixels. It retains all 252 tiles and 77,380 labels; no
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positive tile became empty, and no source file was overwritten.
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Fresh audits report zero sub-4-pixel labels, zero invalid or missing label
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files, zero exact/high-IoU duplicates and zero reconstructed cross-split
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object groups. Extreme-aspect labels fall from 26 to 10, possible nesting from
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43 to 41 and tile-edge rows from 5,079 to 4,840. The complete four-page visual
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render was inspected again. Pure-background tiles remain visibly empty, sparse
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contexts remain distinct and the ten remaining elongated labels predominantly
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match plausible long structures.
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The generic quality auditor still reports `needs_attention` because normalized
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median box area `0.000641` is below its conservative `0.001` warning threshold.
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That corresponds to median dimensions near 12 by 13 pixels at source tile
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resolution and is not a failed minimum-dimension gate. The warning remains
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visible; it was not suppressed or relabelled as success.
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This min-4px version is the preferred experimental successor to the legacy
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min-3px corpus. It explicitly remains ineligible for governed training until
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real human review and all release-contract evidence exist.
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