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@@ -74,13 +74,13 @@ YOLOv12 surpasses all popular real-time object detectors in accuracy with compet
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| [YOLO12x](https://github.com/sunsmarterjie/yolov12/releases/download/v1.0/yolov12x.pt) | 640 | 55.2 | 11.79 | 59.1 | 199.0 |
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[**Instance segmentation**](https://github.com/sunsmarterjie/yolov12/tree/Seg):
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-| Model | size<br><sup>(pixels) | mAP<sup>box<br>50-95 | mAP<sup>mask<br>50-95 | Speed<br><sup>T4 TensorRT10<br>(ms) | params<br><sup>(M) | FLOPs<br><sup>(B) |
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+| Model | size<br><sup>(pixels) | mAP<sup>box<br>50-95 | mAP<sup>mask<br>50-95 | Speed<br><sup>T4 TensorRT10<br> | params<br><sup>(M) | FLOPs<br><sup>(B) |
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| -------------------------------------------------------------------------------------------- | --------------------- |--------------------- | ------------------------------ | ----------------------------------- | ------------------ | ----------------- |
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-| [YOLOv12n-seg](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n-seg.pt) | 640 | 38.9 | 32.0 | 1.8 ± 0.0 | 2.9 | 10.4 |
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-| [YOLOv12s-seg](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11s-seg.pt) | 640 | 46.6 | 37.8 | 2.9 ± 0.0 | 10.1 | 35.5 |
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-| [YOLOv12m-seg](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11m-seg.pt) | 640 | 51.5 | 41.5 | 6.3 ± 0.1 | 22.4 | 123.3 |
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-| [YOLOv12l-seg](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11l-seg.pt) | 640 | 53.4 | 42.9 | 7.8 ± 0.2 | 27.6 | 142.2 |
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-| [YOLOv12x-seg](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11x-seg.pt) | 640 | 54.7 | 43.8 | 15.8 ± 0.7 | 62.1 | 319.0 |
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+| [YOLOv12n-seg](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n-seg.pt) | 640 | 39.9 | 32.8 | 1.84 | 2.8 | 9.9 |
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+| [YOLOv12s-seg](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11s-seg.pt) | 640 | 47.5 | 38.6 | 2.84 | 9.8 | 33.4 |
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+| [YOLOv12m-seg](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11m-seg.pt) | 640 | 52.4 | 42.3 | 6.27 | 21.9 | 115.1 |
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+| [YOLOv12l-seg](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11l-seg.pt) | 640 | 54.0 | 43.2 | 7.61 | 28.8 | 137.7 |
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+| [YOLOv12x-seg](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11x-seg.pt) | 640 | 55.2 | 44.2 | 15.43 | 64.5 | 308.7 |
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</details>
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田运杰