# Product-scan validation images

This folder is the **validation/test set** for the product-scan accuracy
harness (`backend/scripts/accuracy-check-scan.mts`) — real-world photos that
are *not* part of the classifier's reference dataset, so scoring against them
measures actual accuracy instead of memorization.

**Workflow:**
1. Drop a photo here directly (flat, no subfolders — a filename with no `/`
   is what marks an image as "validation" instead of "training").
2. Label it via the `/manual-label-scan` page (correct `no_sku`, `nama_item`,
   `expiry_date` by hand — don't just accept the AI-scan prefill, that would
   make the ground truth equal to the model's own prediction).
3. Run `node scripts/accuracy-check-scan.mts` from `backend/` — the photo now
   scores under "Validation Set", separate from "Training Set".

**This is not where new training photos go.** To improve the classifier
itself (DINOv2 index / YOLO fine-tune), add photos to
`pfm-web-app/public/produk-pfm/foto-kemasan-v2/<SKU folder>/` instead, then
reindex/retrain per `docs/scan-product.md`'s "Model artifacts & retraining"
section.