tngo
5fe3258614
Two visually verified non-enrollment images per SKU for sku_l01, l02, l03, l05, l06 and l11, sourced from Amazon retailer galleries and Yahoo retailer/customer listings. sku_l06 uses the current 内臓脂肪を減らす package (F-12); three customer listings showing the superseded wrapper were rejected. Collection scratch files are removed. |
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|---|---|---|
| .. | ||
| kewpie | ||
| l12-reconciliation | ||
| other-mayo | ||
| tier3-sources | ||
| README.md | ||
External evidence (2026-09-29)
Independent-source media used to stress the identity pipeline. None of this is
Tier 2. DECISION.md's Tier 2 is a second labelled store visit; these are
external_proxy artifacts, and every manifest here says so.
| Directory | What it holds |
|---|---|
other-mayo/ |
8 accepted images for sku_l04, sku_l07, sku_l09 from 6 source domains, plus the scored result |
l12-reconciliation/ |
What sku_l12 actually is, from the shelf tag and package pixels |
kewpie/ |
Kewpie 450 g research (the near-unknown case) |
tier3-sources/ |
Two reusable pan clips and 11 rejected candidates for a future Tier-3 replay |
Leak test
Every accepted image was template-matched against add/image6.jpg. Highest
score across all 8 is 0.675 (sku_l07_1), and the 0.95+ band that identifies a
crop of the evaluation photo is empty. The images are genuinely external.
Result: 8 images, 0 false accepts
Scored through the shipped LocalLaneAdapter + DecisionPolicy against
stock-lopia-clean (other-mayo/eval_result.json):
| Verdict | Count | Files |
|---|---|---|
| Correct accept | 4 | sku_l07_1, sku_l07_2, sku_l09_1, sku_l09_2 |
| Abstain | 4 | all sku_l04_* |
| False accept | 0 | — |
Two things this establishes that the image6 shelf cannot:
sku_l07is answered with no enrolled image. Both l07 images accept through the text lane alone:sku_l07_1reads ラッキー フヨネーズ, andsku_l07_2reads the rear label's 製造者：丸和油脂株式会社 with 内容量：200g. The catalog row is 丸和油脂 ラッキーマヨネーズ 200g, so the manufacturer and the size together name it. This is the text lane's coverage claim - that a product with no reference image can still be named - holding on data that was not used to build it.- The l04 abstentions are correct behaviour, not a miss. l04 has no
enrolled image either, and its reads are weak:
sku_l04_2reads only コと旨 タ 味 (all rows score 0.0), andsku_l04_4reads the rear label with やまや garbled to まや, scoring 0.379 - below the accept line. Abstaining on a weak read is the designed outcome.
sku_l07_2 accepts with a negative local score (-0.55) on text evidence alone.
That is the lane doing its job, but it is worth naming: the accept rests on two
matched tokens (manufacturer + size), not on geometry.
What is still missing
No external source gives per-SKU identity for the whole catalog, and no reusable clip combines the target category with shelf-distance text resolution. The Tier-2 and Tier-3 gates in DECISION.md still need the operator's own recorded walks.