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@@ -9,7 +9,7 @@ Yolov5 is a one-stage structure target detection network framework, in which the
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  The YOLOv5 model can be found [here](https://github.com/ultralytics/yolov5)
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- |Device|SoC|Runtime|Model|Size (pixels)|Inference Time (ms)|Precision|Compute Unity|Model Download|
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  |:----:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|
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  |AidBox QCS6490|QCS6490|QNN|YOLOv5s(cutoff)|640|6.7|INT8|NPU|[model download](https://huggingface.co/aidlux/YOLOv5/blob/main/QCS6490/cutoff_yolov5s_int8.qnn.serialized.bin)|
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  |AidBox QCS6490|QCS6490|QNN|YOLOv5s(cutoff)|640|15.2|INT16|NPU|[model download](https://huggingface.co/aidlux/YOLOv5/blob/main/QCS6490/cutoff_yolov5s_int16.qnn.serialized.bin)|
 
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  The YOLOv5 model can be found [here](https://github.com/ultralytics/yolov5)
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+ |Device|SoC|Runtime|Model|Size (pixels)|Inference Time (ms)|Precision|Compute Unit|Model Download|
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  |:----:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|:----:|
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  |AidBox QCS6490|QCS6490|QNN|YOLOv5s(cutoff)|640|6.7|INT8|NPU|[model download](https://huggingface.co/aidlux/YOLOv5/blob/main/QCS6490/cutoff_yolov5s_int8.qnn.serialized.bin)|
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  |AidBox QCS6490|QCS6490|QNN|YOLOv5s(cutoff)|640|15.2|INT16|NPU|[model download](https://huggingface.co/aidlux/YOLOv5/blob/main/QCS6490/cutoff_yolov5s_int16.qnn.serialized.bin)|