# Product-scan validation images — live intake (staging)

This folder is the **live-intake / staging area** for the product-scan
validation set. It's still where the `/manual-label-scan` page saves new
photo drops, and still what real-world photos get dropped into by hand — but
it is **no longer what the accuracy harness scores**. That's
`../product-test-images-fixed/` (a frozen, sequentially-renamed snapshot) —
see that folder's README for why the split exists.

**Workflow (adding a new SKU or photo):**
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. Re-run `node scripts/freeze-validation-set.mjs` from `backend/` to promote
   the new photo into `product-test-images-fixed/` (renamed to
   `<index> <no_sku>.<ext>`) so it actually gets scored on the next
   `accuracy-check-scan.mts` run.

**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.