History

kiyo9w aa838f7b2b docs(packshots): record l04/l07/l10 identity provenance Three enrollment views were refused by the name/OCR check at 0.70, and the research says all three refusals are false negatives: - sku_l04: the packshot is byte-identical (MD5 510db1965bc483899c0cce17c72ba10e) to Amazon media 61yWDtDjDuL for ASIN B0197VWHRG, やまやめんたいマヨネーズタイプ 200g, JAN 4903085062863. 明太子屋さんがつくった is a package slogan, not a competing brand. Caveat recorded: 200g is superseded by the current 300g. - sku_l07: 丸和油脂ラッキーマヨネーズ 200g, JAN 4978931401615, corroborated by Amazon, Rakuten, Yahoo Shopping and Kakaku. The front prints the product name but never the maker or size, so full-name overlap cannot reach 0.70. - sku_l10: exact 400g front, JAN 4901001114030, with the 450g rejection. Also adds the missing sku_l10 OCR read, generated with the current engine, and l10's attribution entry. Manifests are tracked; the retailer images they cite are restricted-research and stay untracked, matching the existing precedent.		2026-09-29 02:51:55 +09:00
..
evaluations/2026-09-29-session	Enroll from a repo data dir; read packshots in every orientation	2026-09-29 02:33:47 +09:00
packshots	docs(packshots): record l04/l07/l10 identity provenance	2026-09-29 02:51:55 +09:00
README.md	Enroll from a repo data dir; read packshots in every orientation	2026-09-29 02:33:47 +09:00

README.md

Recognition data

Everything the identity work needs to be reproducible: sourced packshots, evaluation runs, and the audits that produced them. Nothing here is ephemeral; a run that matters is written here, not to a temp directory.

`packshots/source/`

Front packshots as downloaded, before enrollment. ATTRIBUTION.json records the source URL, the product as printed, and the manufacturer for each. ocr-reads.json holds the OCR text each image produced, so a name/OCR refusal can be re-checked without re-running Vision.

rebuild_catalog.py reads this directory and writes a catalog:

.venv/bin/python code/rebuild_catalog.py --source data/packshots/source \
    --output stock-lopia-clean --csv stock-lopia/stock.csv --min-views 1 --replace

`evaluations/`

One directory per session. Each holds the raw artifacts a claim was computed from, so a number in DECISION.md can be traced back to the run that produced it.

Directory	Contents
`stream/`	WebSocket track dumps from `stream_client.py`, scored by `score_stream.py`.
`still/`	`/v1/recognize` responses for the still-image path.
`catalog-audit/`	`rebuild_catalog.py --json` reports.
`scratch/`	Intermediate images (rotations, crops) kept because they document a finding.

Scoring a stream dump:

.venv/bin/python code/score_stream.py data/evaluations/<session>/stream/<file>.json \
    --labels eval/labels/image6.json --stock-dir stock-lopia-clean