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YOLOv8-Detection

Object Detection
PyTorch
TF Lite
ONNX
real_time
android
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@@ -35,45 +35,42 @@ 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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- | YOLOv8-Detection | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 5.188 ms | 0 - 17 MB | FP16 | NPU | [YOLOv8-Detection.tflite](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.tflite) |
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- | YOLOv8-Detection | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 5.231 ms | 4 - 20 MB | FP16 | NPU | [YOLOv8-Detection.so](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.so) |
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- | YOLOv8-Detection | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 6.249 ms | 1 - 35 MB | FP16 | NPU | [YOLOv8-Detection.onnx](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.onnx) |
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- | YOLOv8-Detection | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 3.717 ms | 0 - 45 MB | FP16 | NPU | [YOLOv8-Detection.tflite](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.tflite) |
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- | YOLOv8-Detection | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 3.709 ms | 5 - 55 MB | FP16 | NPU | [YOLOv8-Detection.so](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.so) |
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- | YOLOv8-Detection | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 4.54 ms | 7 - 67 MB | FP16 | NPU | [YOLOv8-Detection.onnx](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.onnx) |
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- | YOLOv8-Detection | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 3.669 ms | 0 - 44 MB | FP16 | NPU | [YOLOv8-Detection.tflite](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.tflite) |
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- | YOLOv8-Detection | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 3.127 ms | 0 - 50 MB | FP16 | NPU | Use Export Script |
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- | YOLOv8-Detection | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 4.206 ms | 5 - 55 MB | FP16 | NPU | [YOLOv8-Detection.onnx](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.onnx) |
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- | YOLOv8-Detection | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 5.166 ms | 0 - 16 MB | FP16 | NPU | [YOLOv8-Detection.tflite](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.tflite) |
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- | YOLOv8-Detection | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 5.035 ms | 5 - 8 MB | FP16 | NPU | Use Export Script |
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- | YOLOv8-Detection | SA7255P ADP | SA7255P | TFLITE | 71.831 ms | 0 - 36 MB | FP16 | NPU | [YOLOv8-Detection.tflite](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.tflite) |
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- | YOLOv8-Detection | SA7255P ADP | SA7255P | QNN | 70.944 ms | 2 - 11 MB | FP16 | NPU | Use Export Script |
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- | YOLOv8-Detection | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 5.164 ms | 0 - 14 MB | FP16 | NPU | [YOLOv8-Detection.tflite](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.tflite) |
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- | YOLOv8-Detection | SA8255 (Proxy) | SA8255P Proxy | QNN | 5.036 ms | 5 - 7 MB | FP16 | NPU | Use Export Script |
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- | YOLOv8-Detection | SA8295P ADP | SA8295P | TFLITE | 9.721 ms | 0 - 34 MB | FP16 | NPU | [YOLOv8-Detection.tflite](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.tflite) |
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- | YOLOv8-Detection | SA8295P ADP | SA8295P | QNN | 8.992 ms | 0 - 14 MB | FP16 | NPU | Use Export Script |
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- | YOLOv8-Detection | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 5.182 ms | 0 - 17 MB | FP16 | NPU | [YOLOv8-Detection.tflite](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.tflite) |
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- | YOLOv8-Detection | SA8650 (Proxy) | SA8650P Proxy | QNN | 5.057 ms | 5 - 7 MB | FP16 | NPU | Use Export Script |
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- | YOLOv8-Detection | SA8775P ADP | SA8775P | TFLITE | 8.124 ms | 0 - 37 MB | FP16 | NPU | [YOLOv8-Detection.tflite](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.tflite) |
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- | YOLOv8-Detection | SA8775P ADP | SA8775P | QNN | 7.99 ms | 0 - 10 MB | FP16 | NPU | Use Export Script |
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- | YOLOv8-Detection | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 8.46 ms | 0 - 39 MB | FP16 | NPU | [YOLOv8-Detection.tflite](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.tflite) |
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- | YOLOv8-Detection | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 7.626 ms | 5 - 43 MB | FP16 | NPU | Use Export Script |
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- | YOLOv8-Detection | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 5.527 ms | 5 - 5 MB | FP16 | NPU | Use Export Script |
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- | YOLOv8-Detection | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 6.703 ms | 5 - 5 MB | FP16 | NPU | [YOLOv8-Detection.onnx](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-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[yolov8_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 +149,7 @@ from qai_hub_models.models.yolov8_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 +241,8 @@ 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 YOLOv8-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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+ | YOLOv8-Detection | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 5.178 ms | 0 - 17 MB | FP16 | NPU | [YOLOv8-Detection.tflite](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.tflite) |
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+ | YOLOv8-Detection | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 5.26 ms | 5 - 19 MB | FP16 | NPU | [YOLOv8-Detection.so](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.so) |
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+ | YOLOv8-Detection | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 6.202 ms | 1 - 35 MB | FP16 | NPU | [YOLOv8-Detection.onnx](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.onnx) |
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+ | YOLOv8-Detection | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 3.714 ms | 0 - 44 MB | FP16 | NPU | [YOLOv8-Detection.tflite](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.tflite) |
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+ | YOLOv8-Detection | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 3.68 ms | 5 - 56 MB | FP16 | NPU | [YOLOv8-Detection.so](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.so) |
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+ | YOLOv8-Detection | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 4.316 ms | 5 - 65 MB | FP16 | NPU | [YOLOv8-Detection.onnx](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.onnx) |
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+ | YOLOv8-Detection | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 3.692 ms | 0 - 42 MB | FP16 | NPU | [YOLOv8-Detection.tflite](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.tflite) |
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+ | YOLOv8-Detection | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 2.995 ms | 5 - 52 MB | FP16 | NPU | Use Export Script |
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+ | YOLOv8-Detection | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 3.965 ms | 5 - 55 MB | FP16 | NPU | [YOLOv8-Detection.onnx](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.onnx) |
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+ | YOLOv8-Detection | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 5.148 ms | 0 - 17 MB | FP16 | NPU | [YOLOv8-Detection.tflite](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.tflite) |
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+ | YOLOv8-Detection | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 5.076 ms | 5 - 8 MB | FP16 | NPU | Use Export Script |
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+ | YOLOv8-Detection | SA7255P ADP | SA7255P | QNN | 70.855 ms | 1 - 9 MB | FP16 | NPU | Use Export Script |
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+ | YOLOv8-Detection | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 5.168 ms | 0 - 17 MB | FP16 | NPU | [YOLOv8-Detection.tflite](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.tflite) |
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+ | YOLOv8-Detection | SA8255 (Proxy) | SA8255P Proxy | QNN | 4.986 ms | 5 - 8 MB | FP16 | NPU | Use Export Script |
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+ | YOLOv8-Detection | SA8295P ADP | SA8295P | TFLITE | 9.951 ms | 0 - 35 MB | FP16 | NPU | [YOLOv8-Detection.tflite](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.tflite) |
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+ | YOLOv8-Detection | SA8295P ADP | SA8295P | QNN | 8.997 ms | 0 - 14 MB | FP16 | NPU | Use Export Script |
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+ | YOLOv8-Detection | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 5.159 ms | 0 - 16 MB | FP16 | NPU | [YOLOv8-Detection.tflite](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.tflite) |
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+ | YOLOv8-Detection | SA8650 (Proxy) | SA8650P Proxy | QNN | 5.073 ms | 5 - 7 MB | FP16 | NPU | Use Export Script |
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+ | YOLOv8-Detection | SA8775P ADP | SA8775P | TFLITE | 8.134 ms | 0 - 36 MB | FP16 | NPU | [YOLOv8-Detection.tflite](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.tflite) |
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+ | YOLOv8-Detection | SA8775P ADP | SA8775P | QNN | 8.015 ms | 0 - 10 MB | FP16 | NPU | Use Export Script |
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+ | YOLOv8-Detection | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 8.579 ms | 0 - 35 MB | FP16 | NPU | [YOLOv8-Detection.tflite](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.tflite) |
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+ | YOLOv8-Detection | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 7.708 ms | 5 - 44 MB | FP16 | NPU | Use Export Script |
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+ | YOLOv8-Detection | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 6.684 ms | 5 - 5 MB | FP16 | NPU | [YOLOv8-Detection.onnx](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-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[yolov8-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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  # 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 YOLOv8-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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