product-recognition-demo/recognization/data/evaluations/2026-09-29-session/server-smoke/summary.json
kiyo9w 8754738dc1 docs(decision): refresh every number the corrected labels moved
Five blocks still printed pre-correction figures. Each was re-run through the
evaluator and replaced with what it actually outputs now:

- The lane comparison: local 75% at 91% against Van 64% at 38% (full), and
  59% at 93% against 66% at 39% (live). At live resolution Van now answers more
  facings correctly and is wrong on 67 of them to the local lane's 3 - stated
  plainly rather than left as a win on both axes.
- The accept sweep: 75/67/67/62% end-to-end at 91/91/93/95% precision, with the
  evaluator's own column definitions spelled out, since my first re-derivation
  used the wrong denominator.
- The G1 stream claim: four pan replays give 63-70% coverage at 76-84%
  precision, not 75% at 100%.
- The upscale paragraph: the guard is intact, but sku_l09.jpg is now a
  1000x1000 packshot, so the current run no longer exercises it.
- catalog_hash and the pyramid floor: the hash covers view bytes, not just
  names, and every view is now above the 800 px floor.

Also refreshes the server smoke against the renamed catalog: 53 named in 2.58 s,
no view-suffixed ids, no missing product info. l12 is not among them - it has
no enrolled view, which is the documented gap.
2026-09-29 03:18:30 +09:00

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{
"endpoint": "/v1/recognize",
"image": "add/image6.jpg",
"catalog": "stock-lopia-clean",
"catalog_version": "d0f835fc7826",
"detections": 111,
"named": 53,
"named_without_product_info": 0,
"view_suffixed_ids": [],
"elapsed_s": 2.58,
"by_sku": {
"sku_l10": 9,
"sku_l11": 5,
"sku_l01": 5,
"sku_l06": 4,
"sku_l09": 13,
"sku_l07": 6,
"sku_l02": 3,
"sku_l03": 5,
"sku_l05": 3
},
"note": "After the l12 rename. l12 is not named: it has no enrolled view, which is the documented catalog gap."
}