Product recognition demo for supermarket shelf images
ddead84546
The documented near-unknown case could not be rejected. Crops 82-97 of
add/image6.jpg are Kewpie 450g bags the catalog does not hold, and they read
'マヨネーズ 450g'. Every mayonnaise row explains 'マヨネーズ' equally, so the
text ranking ties at 1.0 and the strict-greater veto in DecisionPolicy never
fires - the local lane's answer stood and the bag was labelled as a catalog
row. No amount of IDF tuning fixes this: the veto compares two catalog rows,
and the crop's product is not one of them.
The size is the part that differs and the part printed plainly, so the policy
now checks it. Only a mass in PACKAGE_MASS_RANGE counts: below it are
fragments of a longer number ('20' out of '200g') and above it are two numbers
run together ('5210' out of '210g'), and vetoing on either would cost correct
answers. Percentages are excluded for the same reason - 'カロリー 50% カット'
is a claim about the contents, not a 50 g package.
The veto also blocks the text lane's fill-in, or it would only move the
answer: the local row is blocked and the text lane then names that same row.
Measured on the corrected image6 labels, local lane at full resolution:
precision 86% -> 91%, false accepts 8 -> 5, coverage unchanged at 79%. At live
resolution 95% and 2 false accepts, unchanged. 307 tests pass.
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| recognization | ||
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