Product recognition demo for supermarket shelf images
962cdaab5f
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. |
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| .github/workflows | ||
| recognization | ||
| .gitignore | ||