📦 模型下載https://pub-478929a98a5c440cb22c2241c0bde314.r2.dev/factory_ppe_v20260717/best.pt

👷 factory_ppe_v20260717 訓練報告

MobileNetV3-L 27-head NV | cvat #12 | imgsz 512×256 | 並列候選(未切)

結論(混合,待 operator):公平 test macro +0.0049 持平;hair_cover +0.19(稀有未稀釋);但 safety_glasses_nv −0.40。非乾淨全勝 → 未自動上版。

⬇ 下載

best.pt ⬇ 版本差異 JSON ⬇

📈 訓練曲線

📊 訓練資料(模型實吃,export manifest)

unit=crops · 總 223,722 crops(train 171,319/val 32,575/test 19,828)· 17 廠商

廠商鏡頭總croptrainvaltest
unknown1106,44480,07215,39910,973
PUBLIC340,58329,5728,3492,662
RAIVISION524,21319,1832,5412,489
ROBOFLOW417,26214,6721,905685
HSINTUNGYANG116,97513,8791,4751,621
IRODA45,6004,316946338
FOX25,3403,9131,115312
HSINTUNGYANG-AI71,7381,343242153

🔀 前後版差異(vs v706,公平 test)

訓練資料:實吃 201,185 → 223,722(+22,537 crops,主要 SINON-AI)

指標v706v717Δ
macro AP0.93410.939+0.0049
hair_cover ⚠稀有0.7950.988+0.193
safety_glasses_nv ❌0.9070.511-0.396

⚠️ v717 自己 test +0.0742 是新場域主場偏誤,上表為 v706 主場公平對照。

verdict:持平(混合):稀有attr未稀釋hair_cover+0.19,但safety_glasses_nv-0.40,待operator