📦 模型下載https://pub-478929a98a5c440cb22c2241c0bde314.r2.dev/factory_ppe_v20260529/best.pt

👷 PPE 22-attr v20260529

訓練日期 2026-05-29 · 5090-2 GPU0 · MobileNetV3-L (timm ra_in1k) 384×192 · cvat #12 video-mode fix 重訓

⭐ 結論:test mAP 0.959 / macro_F1 0.939,+1.3pp vs v526

cvat #12 export 用 cvat_frame_iter(video-mode 已修),crops_v529 共 185,767 筆(+816 vs v526)。test_mAP 0.9593 / macro_F1 0.9387,vs v526(0.946 / 0.935)+1.3pp / +0.4pp。head 從 v526 弱項回升。

📊 核心指標

0.9593
test mAP
0.9387
test macro_F1
0.9774
best val mAP
ep40
early stop

🆚 vs v526

版本test mAPmacro_F1crops
v202605260.9460.935184,951
v202605290.95930.9387185,767

📂 各 attr val AP(best epoch)

glove 0.991 · body 0.995 · foot 0.994 · sleeves 0.992 · head 0.954 · other 0.965 — 多數 >0.99。⚠️ hair_cover 僅 29 正樣本(cov 11.4%)為長期資料瓶頸,需補標才能進一步提升。

⚙️ Hyperparams

backbone: mobilenetv3_large_100.ra_in1k, img: 384×192
batch: 128, epochs: 40 (early-stop), patience: 16, lr: 3e-4, wd: 0.01
aug: strong + mixup 0.2 · partial-label BCE (unknown mask=0)
dataset: crops_v529 (cvat #12 video-mode fix)

📦 模型下載

factory_ppe_v20260529/best.pt ⬇

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