v3 weights (yolo11s, 204k merged plate dataset, val mAP50=0.944)
Browse files
miner.py
CHANGED
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@@ -161,7 +161,10 @@ class Miner:
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# conf=0.16, score_threshold=0.01 with our v3 ONNX: HIGH recall
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# 57% -> 66% (+3 plates) at the cost of +2 singletons. Net positive
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# given 0.6 weight on map50 vs 0.4 on false_positive in composite.
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# Soft-NMS hyperparameters (Gaussian variant).
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# Tightened 0.5 → 0.3: sharper decay collapses near-duplicates from SAHI
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# tile-seam overlaps faster, dropping more below the 0.01 score floor.
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| 161 |
# conf=0.16, score_threshold=0.01 with our v3 ONNX: HIGH recall
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| 162 |
# 57% -> 66% (+3 plates) at the cost of +2 singletons. Net positive
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| 163 |
# given 0.6 weight on map50 vs 0.4 on false_positive in composite.
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# 2026-04-30: lowered to 0.12 after bench sweep on 33-task archive +
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# 30-frame starter showed +1.6pp HIGH recall (0.8607→0.8770) for only
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# +2 phantoms (+0.061/frame), 1:1 hit-to-phantom ratio.
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self.conf_threshold = 0.12
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# Soft-NMS hyperparameters (Gaussian variant).
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# Tightened 0.5 → 0.3: sharper decay collapses near-duplicates from SAHI
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| 170 |
# tile-seam overlaps faster, dropping more below the 0.01 score floor.
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