scorevision: push artifact
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README.md
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Runs both models on every image and merges all detections.
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---
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license: cc-by-4.0
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tags:
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- element_type:detect
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- model:yolov11-small
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- object:numberplate
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- subnet:sn44
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- element:manak0/Detect-number-plates-1-0
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manako:
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element_id: manak0/Detect-number-plates-1-0
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description: License plate / number plate detector for SN44 element manak0/Detect-number-plates-1-0
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source: meaculpitt/ScoreVision
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prompt_hints: null
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input_payload:
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- name: frame
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type: image
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description: RGB frame (validator native resolution 1408x768)
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output_payload:
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- name: detections
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type: detections
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description: List of license plate bounding boxes (single class "numberplate", absolute pixel xyxy)
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evaluation_score: null
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last_benchmark: null
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---
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# meaculpitt/ScoreVision-Numberplate
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Single-element chute for the SN44 element
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**`manak0/Detect-number-plates-1-0`** (activates 2026-04-12T12:02 UTC).
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- Architecture: YOLO11s exported to ONNX (≤30 MB hard cap)
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- Input: 1408×768 RGB frames (the validator's native resolution)
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- Output: bounding boxes around license plates (single class
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`numberplate`, absolute-pixel xyxy coordinates)
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- Inference: ONNX Runtime CUDA EP, Gaussian Soft-NMS (sigma=0.5)
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for plate-dense scenes
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- Latency target: p95 ≤ 50 ms end-to-end
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Trained on a 344k-image combined corpus of:
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- Roboflow license-plate-recognition-rxg4e v4
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- Roboflow vehicle-registration-plates-trudk v2
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- Roboflow car-license-fj1kd v4
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- helpme-8ixem/anpr-iuzao (real CCTV ANPR footage)
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- CCPD2019 (Chinese City Parking Dataset, ~200k overhead surveillance frames)
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## Sibling repos in this org
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- [`meaculpitt/ScoreVision-Vehicle`](https://huggingface.co/meaculpitt/ScoreVision-Vehicle) — vehicle (manak0/Detect-detect-vehicle), served by the `insect` chute
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- [`meaculpitt/ScoreVision-Petrol`](https://huggingface.co/meaculpitt/ScoreVision-Petrol) — petrol station components
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This repo (`ScoreVision-Numberplate`) is intentionally a separate
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single-element submission deployed under its own chute slug, not part
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of the unified `insect` chute.
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