Product recognition demo for supermarket shelf images
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kiyo9w 11826cc43c feat(eval): report the external benchmark per SKU
A set total hides which products the lane can and cannot name. Every SKU in
these sets has images from two independent source domains, so a SKU that scores
the same on both is not one lucky photograph.

The breakdown is what makes the two interesting results visible: l01, l02, l03,
l07 and l09 are 2/2 correct on both their domains, l07 with no enrolled image
at all, while l11 abstains on both and l04 abstains on all four of its images.
2026-09-29 03:37:04 +09:00
.github/workflows chore: run the Python suite from the repository root 2026-09-28 17:26:58 +09:00
recognization feat(eval): report the external benchmark per SKU 2026-09-29 03:37:04 +09:00
.gitignore Initial commit for push folder 2026-09-18 09:13:53 +09:00