📦 模型下載https://pub-478929a98a5c440cb22c2241c0bde314.r2.dev/door_state_v20260518/best.pt

🚪 door_state v20260518

MobileNetV3-L + 2 binary heads + SWA-4 + cvat #11 force-acceptance

結果摘要:best ep4 val_mAP=0.998 / test_mAP=0.9897 / macro_F1=0.9634
對標 baseline:v20260515 baseline val_mAP=0.994 @ ep2

📊 結果

指標v20260515 baselinev20260518 best.ptv20260518 SWA-4
val_mAP best0.994 @ ep20.998 @ ep40.972
test_mAP0.98970.9817
macro F10.9650.96340.9616
open_AP / close_AP0.998 / 0.999

📦 訓練 stack

📝 觀察

door 任務已飽和 (0.99+),新加 cvat #11 已 acceptance task 沒帶入明顯難度。可直接部署。

關聯文件: → v20260518–19 batch 整體報告 · → 模型訓練 SOP · → 所有報告目錄