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/collect_shelf_images.py

@@ -129,7 +129,9 @@ def image_info(titles: list) -> dict:
 
 
 def main() -> None:
-    root = sys.argv[1] if len(sys.argv) > 1 else os.path.expanduser("~/dorayaki-data/shelf-images")
+    default = os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))),
+                           "data", "external-shelves", "wikimedia-commons")
+    root = sys.argv[1] if len(sys.argv) > 1 else default
     os.makedirs(root, exist_ok=True)
 
     print("searching Commons...")

recognization/code/eval_external_images.py

@@ -1,10 +1,14 @@
 """
 Run the pipeline over store photos it has never seen.
 
-    python code/eval_external_images.py [~/dorayaki-data/shelf-images]
+    python code/eval_external_images.py [data/external-shelves/wikimedia-commons]
 
 Reports detection and identity per image, and writes a JSON summary. See
 docs/EXTERNAL-EVAL.md for what the numbers mean.
+
+The images live in the repository (`data/external-shelves/`), not in a home
+directory: they are evaluation evidence, and evidence that only exists on one
+machine cannot be re-checked.
 """
 import json, os, sys, time
 sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
@@ -13,8 +17,9 @@ from engine import build_default_engine, EngineSettings
 from tags import TagService, TagSettings
 from reconcile import attach_tags_to_boxes
 
-ROOT = os.path.expanduser(sys.argv[1] if len(sys.argv) > 1 else "~/dorayaki-data/shelf-images")
-manifest = json.load(open(os.path.join(ROOT, "manifest.json")))
+DEFAULT_ROOT = os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))),
+                            "data", "external-shelves", "wikimedia-commons")
+ROOT = os.path.expanduser(sys.argv[1] if len(sys.argv) > 1 else DEFAULT_ROOT)
 
 engine = build_default_engine(EngineSettings(stock_dir="stock-lopia"))
 catalog_by_sku = {p["sku_id"]: p for p in engine.catalog()}

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")

recognization/data/packshots/research/sku_l10/manifest.json

@@ -0,0 +1,22 @@
+{
+  "sku": "sku_l10",
+  "canonical_product": "味の素 ピュアセレクト マヨネーズ 400g",
+  "packshot_path": "data/packshots/source/sku_l10.jpg",
+  "source_url": "https://thumbnail.image.rakuten.co.jp/@0_mall/matsukiyo/cabinet/d0042/4901001114030_1.jpg?_ex=1000x1000",
+  "source_page": "https://item.rakuten.co.jp/matsukiyo/4901001114030/",
+  "source_retailer": "楽天市場 / マツモトキヨシ楽天市場店",
+  "jan": "4901001114030",
+  "width": 1000,
+  "height": 1000,
+  "format": "JPEG",
+  "verification": {
+    "visual": "Front packshot visibly reads AJINOMOTO, ピュアセレクト, マヨネーズ, and 400g.",
+    "exact_product": true
+  },
+  "size_correction": {
+    "rejected_size": "450g",
+    "canonical_size": "400g",
+    "reason": "Ajinomoto's official current product page lists 250g, 400g, 600g, and 1kg, not 450g. Archived official Ajinomoto pages from 2008-2014 show the same lineup. The repository shelf photo add/image6.jpg and its shelf tag show ピュアセレクト マヨネーズ 400g; docs/research/2026-09-28-recognition-architecture/DECISION.md records the same mismatch. Retail searches for 450g returned Kewpie products or mixed listings, while JAN 4901001114030 consistently identifies Ajinomoto ピュアセレクト マヨネーズ 400g.",
+    "official_product_page": "https://www.ajinomoto.co.jp/products/detail/?ProductName=pureselect_1"
+  }
+}

recognization/stock-lopia-clean/stock.csv

@@ -8,6 +8,6 @@ sku_l06,キューピー フィッテ 210g,2026-09-20,2026-12-25,18,7,11,'',379
 sku_l07,丸和油脂 ラッキーマヨネーズ 200g,2026-09-20,2026-12-25,24,10,14,'',199
 sku_l08,スパイシーストーム ペリペリミックス 30g,2026-09-15,2027-03-15,12,4,8,'',699
 sku_l09,ピュアセレクト コクうま カロリーカット65% 360g,2026-09-22,2026-12-28,30,13,17,'',209
-sku_l10,ピュアセレクト マヨネーズ 450g,2026-09-22,2026-12-28,36,15,21,'',222
+sku_l10,ピュアセレクト マヨネーズ 400g,2026-09-22,2026-12-28,36,15,21,'',222
 sku_l11,キューピー ハーフマヨネーズ 450g,2026-09-19,2026-12-22,48,22,26,'',269
 sku_l12,焼肉のたれ 中辛,2026-09-10,2027-02-10,24,8,16,'',299

recognization/stock-lopia/stock.csv

@@ -8,6 +8,6 @@ sku_l06,キューピー フィッテ 210g,2026-09-20,2026-12-25,18,7,11,'',379
 sku_l07,丸和油脂 ラッキーマヨネーズ 200g,2026-09-20,2026-12-25,24,10,14,'',199
 sku_l08,スパイシーストーム ペリペリミックス 30g,2026-09-15,2027-03-15,12,4,8,'',699
 sku_l09,ピュアセレクト コクうま カロリーカット65% 360g,2026-09-22,2026-12-28,30,13,17,'',209
-sku_l10,ピュアセレクト マヨネーズ 450g,2026-09-22,2026-12-28,36,15,21,'',222
+sku_l10,ピュアセレクト マヨネーズ 400g,2026-09-22,2026-12-28,36,15,21,'',222
 sku_l11,キューピー ハーフマヨネーズ 450g,2026-09-19,2026-12-22,48,22,26,'',269
 sku_l12,焼肉のたれ 中辛,2026-09-10,2027-02-10,24,8,16,'',299