scorevision: push artifact

miner.py

@@ -29,11 +29,11 @@ class TVFrameResult(BaseModel):
 
 # Element: manak0/Detect-fire — objects order: 0=fire, 1=smoke, 2=fire extinguisher.
 # Model trained with identical class order; ids pass through unmapped.
-# Tuned 2026-07-31 by replicating the element's own scorer
+# Tuned by replicating the element's own scorer
 # (0.6*mAP50 + 0.4*(1-FP_per_image/10)) across a threshold sweep on held-out
-# data: 0.15 maximised composite (0.809) — lower thresholds add false
-# positives faster than they add recall, higher ones lose mAP.
-CONF_THRESHOLD = 0.15
+# data. For the 3-class v2 model 0.10 maximised composite (0.782); below that
+# false positives grow faster than recall, above it mAP drops off sharply.
+CONF_THRESHOLD = 0.10
 IMGSZ = 1280  # matches element preproc resize_long