product-recognition-demo/recognization/data/external-eval/tier3-sources
kiyo9w 962cdaab5f test(tier3): run the production pipeline over both reusable clips
The two clips were staged but never exercised. One frame per second through the
production detector and the shipped local lane:

- The 1080p supermarket pan: 227 crops, 0 accepted. Correct open-set behaviour -
  the frame is German pickle jars, not catalog products.
- The 360p mayonnaise bay: 1623 crops, 24 accepted (1.5%), across seven SKUs.
  The clip visibly contains Kewpie products, so those are not automatically
  false accepts, but at 640x360 the labels are too soft for per-SKU ground
  truth.

Recorded as an accept-rate probe with false_accepts and accuracy left null
rather than estimated. Tier 3 still needs an operator-recorded walk.
2026-09-29 03:39:33 +09:00
..
media test(external): score 8 independent-source images, 0 false accepts 2026-09-29 03:13:16 +09:00
eval_result.json test(tier3): run the production pipeline over both reusable clips 2026-09-29 03:39:33 +09:00
manifest.json fix(labels): the tare facings are sku_l12, not unknown 2026-09-29 03:09:15 +09:00