2026-07-21 16:23:33 +08:00
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# YOLOv8n Mobile Phone v1
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2026-07-22 15:17:34 +08:00
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这是单类手机目标检测模型的 v1 PT 导出源与回滚版本。当前 Debug OpenCV Viewer 使用
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[`yolov8n-mobile-phone@2`](v2/README.md) ONNX 制品。v1 来自
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2026-07-21 16:23:33 +08:00
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[`IndUSV/yolov8n-mobile-phone`](https://huggingface.co/IndUSV/yolov8n-mobile-phone)，
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用于检测画面中可见的手机物体。
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| 字段 | 值 |
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|---|---|
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| Model ID | `yolov8n-mobile-phone@1` |
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| 注册名称 | `YOLOv8n Mobile Phone` |
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| Backend | `ultralytics-yolo` |
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| 基础模型 | YOLOv8n |
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| 输入尺寸 | 640 × 640 |
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| 权重 | `models/detection/yolov8n-mobile-phone/yolov8n-mobile-phone.pt` |
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| 文件大小 | 6,234,666 bytes |
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| SHA256 | `9230e4bfa7cba7134215c4c7f228b5e58760b02138788ccaff0149258c2d2e19` |
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| Checkpoint Ultralytics 版本 | 8.4.12 |
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| 上游模型卡许可 | MIT |
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## 标签
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checkpoint 只有一个类别，注册顺序必须与 class ID 完全一致：
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| Class ID | 标签 | 语义 |
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|---:|---|---|
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| 0 | `mobile_phone` | 画面中可见的手机物体 |
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2026-07-22 15:17:34 +08:00
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## v1 回滚配置
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```yaml
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phone_detector:
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uses: detection.model@1
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with:
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model: yolov8n-mobile-phone@1
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detect_labels: [mobile_phone]
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confidence: 0.50
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attach_frame: true
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model_options:
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weights: models/detection/yolov8n-mobile-phone/yolov8n-mobile-phone.pt
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device: cpu
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imgsz: 640
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iou: 0.70
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half: false
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max_det: 100
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```
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## 限制
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- 这是手机物体检测器，不是接打电话行为识别器。检测到手机不能证明人员正在通话，
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也不能区分接听、拨出或电话是否接通。
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- 本地 smoke test 中，640 × 640 全黑合成图在 `confidence: 0.50` 下仍出现过误报；
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该结果不代表真实画面精度，但说明上线前必须用目标相机数据校准阈值。
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- 遮挡、小目标、反光、屏幕和外形相近物体都可能造成漏检或误检。
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- 上游模型卡未给出可直接用于本项目验收的量化指标；部署效果应以现场数据回放为准。
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## 来源与校验
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上游模型卡说明该模型基于 YOLOv8n，在 Datacluster Labs Mobile Phone Image Dataset
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上训练，单类标签为 `mobile_phone`，输入尺寸为 640 × 640，并标注 MIT 许可。运行时及
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其依赖仍需分别遵守各自许可。
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```bash
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sha256sum models/detection/yolov8n-mobile-phone/yolov8n-mobile-phone.pt
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uv run --no-sync cmvr-edge-ai models
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2026-07-22 15:17:34 +08:00
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uv run --no-sync python server/detect/show_detections.py \
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--config configs/detection_viewer.yaml \
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--validate-only
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```
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