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The far-unknown claim in the verdict said 0.2-0.7% on 602 crops. That was the audit's variant matcher on the add/ photos; the shipped lane at the shipped lines was 3.61% on the Wikimedia sets. Both are now stated, with the sweep that chose 4.0/4 and the live-endpoint result: 44 named, 42 correct, 95.5% precision against 53/48/90.6% before. Gate status is recorded per gate rather than as a blanket claim: G2 and G3's far half pass offline, G8 passes, and G1/G4/G5/G6/G7 are not yet measured on held-out data because Tier 2 does not exist. The Wikimedia manifests and results are committed; the 59 MB of images are not, because collect_shelf_images.py fetches them from the source URLs the manifests record.
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544 B
JSON
24 lines
No EOL
544 B
JSON
{
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"endpoint": "/v1/recognize",
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"image": "add/image6.jpg",
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"catalog": "stock-lopia-clean",
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"gates": "LOCAL_ACCEPT=4.0 TEXT_MIN_SHARED=4",
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"detections": 111,
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"named": 44,
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"matched": 44,
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"correct": 42,
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"wrong": 2,
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"precision": 0.955,
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"wrong_detail": [
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"sku_l07 vs unknown",
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"sku_l03 vs unknown"
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],
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"previous": {
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"gates": "2.0/2",
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"named": 53,
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"correct": 48,
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"wrong": 5,
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"precision": 0.906
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},
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"note": "Live still endpoint, box-IoU matched to the corrected labels. The stricter gates trade 9 names for 3 wrong labels."
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} |