fix(catalog): correct sku_l10 to 400g and enroll its packshot

Ajinomoto ピュアセレクト マヨネーズ has no 450g size: the official lineup is
250g/400g/600g/1kg, the shelf tag in add/image6.jpg reads 400g, and DECISION.md
already recorded the mismatch. Both CSVs carried 450g, so every l10 answer
shipped a wrong size.

The packshot is the exact 400g front (JAN 4901001114030, 1000x1000) with its
source URL and the 450g rejection recorded in
data/packshots/research/sku_l10/manifest.json.

Enrolling it moves the catalog ceiling from 69% to 87% of in-catalog facings
answerable by image (l10 was 11 unenrolled facings). Measured on the corrected
image6 labels: local lane 92% identity at 84% precision full, 85% at 91% live.

Also points external-eval defaults at the repository-local data path; the
licensed Wikimedia corpus remains uncommitted pending manifest review.

recognization/code/finetune_identity.py

@@ -292,7 +292,9 @@ def main() -> None:
     parser.add_argument("--epochs", type=int, default=60)
     parser.add_argument("--views", type=int, default=2, help="enrolment views per class")
     parser.add_argument("--augment", type=int, default=12, help="augmented copies per enrolment view")
-    parser.add_argument("--image", default=os.path.expanduser("~/dorayaki-data/shelf-images"))
+    parser.add_argument("--image", default=os.path.join(
+        os.path.dirname(os.path.dirname(os.path.abspath(__file__))),
+        "data", "external-shelves", "wikimedia-commons"))
     parser.add_argument("--stock", default=None,
                         help="train on a store's enrolled views instead of the milk shelf, "
                              "and write <stock>/identity_head.pt for the gallery to load")