11826cc43c
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. |
||
|---|---|---|
| .. | ||
| evaluations/2026-09-29-session | ||
| external-eval | ||
| packshots | ||
| 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