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XXMiner/ScoreVision_crime
ScoreVision_crime is a machine learning model from XXMiner. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Model: YOLO11n detector (Ultralytics), trained on official-domain challenge frames labeled by winner-consensus (map50=0.9, fp=0.9 record boxes) — frozen-GT-proxy supervision matching the official sam3jsonv1 scoring ta…
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Updated Aug 23, 2026
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From the Hugging Face model README
Model: YOLO11n detector (Ultralytics), trained on official-domain challenge frames labeled by winner-consensus (map50>=0.9, fp>=0.9 record boxes) — frozen-GT-proxy supervision matching the official sam3_json_v1 scoring target.
Winner-proxy holdout (120 frames, disjoint): map50=0.8364, fp=0.951, gated=0.4889 (internal bar 0.45; leader rolling 0.497). 1024-parent gate = 0.4987.
Latency: fp32 ONNX, 85ms p95 single-frame on 2 vCPU-class cores (measured 2026-08-22) — within the 100ms+10ms compliance budget at 704px inference.
Packaging: CPU-onnxruntime, no network access, no env reads, no symlinks.
Input arrives as cv2.imdecode(IMREAD_COLOR) => BGR. _predict_one converts BGR->RGB before
preprocess (measured cost of NOT converting: map50 0.8364 -> 0.6307 on the 120-frame winner-proxy holdout).