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YOLOv11-Detection

Object Detection
PyTorch
TF Lite
ONNX
real_time
android
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@@ -35,45 +35,44 @@ More details on model performance across various devices, can be found
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  | Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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  |---|---|---|---|---|---|---|---|---|
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- | YOLOv11-Detection | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 5.43 ms | 0 - 19 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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- | YOLOv11-Detection | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 5.536 ms | 5 - 16 MB | FP16 | NPU | [YOLOv11-Detection.so](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.so) |
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- | YOLOv11-Detection | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 6.16 ms | 5 - 35 MB | FP16 | NPU | [YOLOv11-Detection.onnx](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.onnx) |
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- | YOLOv11-Detection | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 3.88 ms | 0 - 44 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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- | YOLOv11-Detection | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 3.859 ms | 2 - 53 MB | FP16 | NPU | [YOLOv11-Detection.so](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.so) |
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- | YOLOv11-Detection | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 4.544 ms | 5 - 71 MB | FP16 | NPU | [YOLOv11-Detection.onnx](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.onnx) |
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- | YOLOv11-Detection | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 3.823 ms | 0 - 44 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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- | YOLOv11-Detection | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 3.87 ms | 5 - 57 MB | FP16 | NPU | Use Export Script |
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- | YOLOv11-Detection | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 3.998 ms | 5 - 58 MB | FP16 | NPU | [YOLOv11-Detection.onnx](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.onnx) |
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- | YOLOv11-Detection | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 5.422 ms | 0 - 19 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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- | YOLOv11-Detection | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 5.363 ms | 5 - 7 MB | FP16 | NPU | Use Export Script |
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- | YOLOv11-Detection | SA7255P ADP | SA7255P | TFLITE | 60.094 ms | 0 - 37 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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- | YOLOv11-Detection | SA7255P ADP | SA7255P | QNN | 58.945 ms | 2 - 12 MB | FP16 | NPU | Use Export Script |
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- | YOLOv11-Detection | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 5.453 ms | 0 - 19 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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- | YOLOv11-Detection | SA8255 (Proxy) | SA8255P Proxy | QNN | 5.371 ms | 5 - 7 MB | FP16 | NPU | Use Export Script |
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- | YOLOv11-Detection | SA8295P ADP | SA8295P | TFLITE | 10.062 ms | 0 - 36 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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- | YOLOv11-Detection | SA8295P ADP | SA8295P | QNN | 10.006 ms | 0 - 15 MB | FP16 | NPU | Use Export Script |
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  | YOLOv11-Detection | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 5.444 ms | 0 - 19 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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- | YOLOv11-Detection | SA8650 (Proxy) | SA8650P Proxy | QNN | 5.429 ms | 5 - 7 MB | FP16 | NPU | Use Export Script |
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- | YOLOv11-Detection | SA8775P ADP | SA8775P | TFLITE | 8.144 ms | 0 - 38 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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- | YOLOv11-Detection | SA8775P ADP | SA8775P | QNN | 7.978 ms | 0 - 10 MB | FP16 | NPU | Use Export Script |
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- | YOLOv11-Detection | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 8.671 ms | 0 - 37 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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- | YOLOv11-Detection | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 8.518 ms | 5 - 45 MB | FP16 | NPU | Use Export Script |
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- | YOLOv11-Detection | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 5.889 ms | 5 - 5 MB | FP16 | NPU | Use Export Script |
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- | YOLOv11-Detection | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 6.733 ms | 5 - 5 MB | FP16 | NPU | [YOLOv11-Detection.onnx](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.onnx) |
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  ## Installation
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- This model can be installed as a Python package via pip.
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  ```bash
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- pip install "qai-hub-models[yolov11_det]"
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  ```
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-
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  ## Configure Qualcomm® AI Hub to run this model on a cloud-hosted device
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  Sign-in to [Qualcomm® AI Hub](https://app.aihub.qualcomm.com/) with your
@@ -152,7 +151,7 @@ from qai_hub_models.models.yolov11_det import Model
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  torch_model = Model.from_pretrained()
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  # Device
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- device = hub.Device("Samsung Galaxy S23")
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  # Trace model
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  input_shape = torch_model.get_input_spec()
@@ -244,7 +243,8 @@ Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/)
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  ## License
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- * The license for the original implementation of YOLOv11-Detection can be found [here](https://github.com/ultralytics/ultralytics/blob/main/LICENSE).
 
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  * The license for the compiled assets for on-device deployment can be found [here](https://github.com/ultralytics/ultralytics/blob/main/LICENSE)
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  | Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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  |---|---|---|---|---|---|---|---|---|
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+ | YOLOv11-Detection | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 5.419 ms | 0 - 19 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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+ | YOLOv11-Detection | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 5.517 ms | 5 - 21 MB | FP16 | NPU | [YOLOv11-Detection.so](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.so) |
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+ | YOLOv11-Detection | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 5.943 ms | 5 - 35 MB | FP16 | NPU | [YOLOv11-Detection.onnx](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.onnx) |
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+ | YOLOv11-Detection | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 3.875 ms | 0 - 42 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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+ | YOLOv11-Detection | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 3.875 ms | 5 - 55 MB | FP16 | NPU | [YOLOv11-Detection.so](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.so) |
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+ | YOLOv11-Detection | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 4.574 ms | 5 - 65 MB | FP16 | NPU | [YOLOv11-Detection.onnx](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.onnx) |
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+ | YOLOv11-Detection | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 3.154 ms | 0 - 45 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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+ | YOLOv11-Detection | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 3.209 ms | 5 - 56 MB | FP16 | NPU | Use Export Script |
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+ | YOLOv11-Detection | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 3.954 ms | 2 - 55 MB | FP16 | NPU | [YOLOv11-Detection.onnx](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.onnx) |
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+ | YOLOv11-Detection | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 5.43 ms | 0 - 15 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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+ | YOLOv11-Detection | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 5.382 ms | 5 - 12 MB | FP16 | NPU | Use Export Script |
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+ | YOLOv11-Detection | SA7255P ADP | SA7255P | TFLITE | 59.919 ms | 0 - 37 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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+ | YOLOv11-Detection | SA7255P ADP | SA7255P | QNN | 58.851 ms | 1 - 10 MB | FP16 | NPU | Use Export Script |
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+ | YOLOv11-Detection | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 5.487 ms | 0 - 19 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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+ | YOLOv11-Detection | SA8255 (Proxy) | SA8255P Proxy | QNN | 5.426 ms | 6 - 8 MB | FP16 | NPU | Use Export Script |
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+ | YOLOv11-Detection | SA8295P ADP | SA8295P | TFLITE | 10.044 ms | 0 - 36 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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+ | YOLOv11-Detection | SA8295P ADP | SA8295P | QNN | 9.698 ms | 0 - 14 MB | FP16 | NPU | Use Export Script |
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  | YOLOv11-Detection | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 5.444 ms | 0 - 19 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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+ | YOLOv11-Detection | SA8650 (Proxy) | SA8650P Proxy | QNN | 5.386 ms | 5 - 7 MB | FP16 | NPU | Use Export Script |
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+ | YOLOv11-Detection | SA8775P ADP | SA8775P | TFLITE | 8.175 ms | 0 - 37 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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+ | YOLOv11-Detection | SA8775P ADP | SA8775P | QNN | 8.049 ms | 1 - 11 MB | FP16 | NPU | Use Export Script |
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+ | YOLOv11-Detection | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 8.8 ms | 0 - 37 MB | FP16 | NPU | [YOLOv11-Detection.tflite](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.tflite) |
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+ | YOLOv11-Detection | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 8.49 ms | 5 - 44 MB | FP16 | NPU | Use Export Script |
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+ | YOLOv11-Detection | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 5.901 ms | 5 - 5 MB | FP16 | NPU | Use Export Script |
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+ | YOLOv11-Detection | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 6.753 ms | 5 - 5 MB | FP16 | NPU | [YOLOv11-Detection.onnx](https://huggingface.co/qualcomm/YOLOv11-Detection/blob/main/YOLOv11-Detection.onnx) |
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  ## Installation
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+ Install the package via pip:
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  ```bash
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+ pip install "qai-hub-models[yolov11-det]"
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  ```
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  ## Configure Qualcomm® AI Hub to run this model on a cloud-hosted device
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  Sign-in to [Qualcomm® AI Hub](https://app.aihub.qualcomm.com/) with your
 
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  torch_model = Model.from_pretrained()
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  # Device
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+ device = hub.Device("Samsung Galaxy S24")
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  # Trace model
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  input_shape = torch_model.get_input_spec()
 
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  ## License
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+ * The license for the original implementation of YOLOv11-Detection can be found
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+ [here](https://github.com/ultralytics/ultralytics/blob/main/LICENSE).
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  * The license for the compiled assets for on-device deployment can be found [here](https://github.com/ultralytics/ultralytics/blob/main/LICENSE)
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