File size: 1,456 Bytes
f37f4c4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 | {
"version": 1,
"class_list": [
"Ayam-Brand-Sardines",
"Bananas",
"Camel-Nuts",
"Chye-Sim",
"FN-Seasons",
"Gardenia-White-Bread",
"Ice-Mountain-Water",
"KCT-Chilli-Sauce",
"Kailan",
"Kaya-Spread",
"Khong-Guan-Biscuits",
"Koka-Noodles",
"Lee-Kum-Kee-Oyster-Sauce",
"Local-Lime",
"Local-Mango",
"Maggi-Curry-Noodles",
"Marigold-HL-Milk",
"Meiji-Fresh-Milk",
"Milo-Powder",
"Pasar-Fresh-Eggs",
"Pokka-Green-Tea",
"Prima-Taste-Laksa",
"Red-Chilli",
"SongHe-Rice",
"Yeos-Chrysanthemum-Tea"
],
"artifacts": {
"sample_scene.jpg": true,
"detector.pt": true,
"crops_manifest.csv": true,
"gallery_index.npy": true,
"gallery_meta.csv": true,
"catalog_prices.csv": true,
"labels.csv": true,
"head.pt": true,
"per_class_metrics.csv": true,
"error_report.md": true,
"head_v2.pt": true,
"lift_table.csv": true,
"lift_table_vs_real_photo.csv": true,
"decisive_lift_table.csv": true,
"confidence_threshold.json": true,
"head.onnx": true,
"crops_train.csv": true,
"calibration_crops.csv": true,
"detector_v0.pt": true,
"FastSAM-s.pt": true
},
"detector_note": "detector.pt retrained 2026-07-10 on cluttered basket-style composites (GrabCut cutouts, 3-8 items/scene, occlusion); detector_v0.pt is the original sparse-scene model"
} |