pfm-ocr/backend/sources/product-test-images

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.