Product recognition demo for supermarket shelf images
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kiyo9w a9f0f61611 fix(catalog): sku_l12 is a vegetable tare, not 焼肉のたれ 中辛
The row named a product that is not on the shelf. The tag under facings #46-48
reads ユーラス 野菜をおいしく食べる旨タレ (380g) at ¥299 - the exact price the
l12 row already carried - and the package reads お子さまOK 甘めテイスト, the
opposite of 中辛. Category, heat level and brand were all wrong.

This one is worse than a wrong size: the text lane scores a crop against the
row's printed name, so a correct read of the real bottle would have been
vetoed by a row describing a different product.

The 2023 green-label predecessor (380ml, JAN 4571233473887, checksum verified)
is recorded in the manifest as predecessor-only evidence; no current JAN is
claimed, because the current white package's rear label has not been
photographed. One in-store rear-label photo would close that.
2026-09-29 03:07:39 +09:00
.github/workflows chore: run the Python suite from the repository root 2026-09-28 17:26:58 +09:00
recognization fix(catalog): sku_l12 is a vegetable tare, not 焼肉のたれ 中辛 2026-09-29 03:07:39 +09:00
.gitignore Initial commit for push folder 2026-09-18 09:13:53 +09:00