library_name: pytorch
license: other
tags:
- android
pipeline_tag: image-segmentation
MediaPipe-Selfie-Segmentation: Optimized for Qualcomm Devices
Light-weight model that segments a person from the background in square or landscape selfie and video conference imagery.
This is based on the implementation of MediaPipe-Selfie-Segmentation found here. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here.
Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up to run these models on a hosted Qualcomm® device.
Getting Started
There are two ways to deploy this model on your device:
Option 1: Download Pre-Exported Models
Below are pre-exported model assets ready for deployment.
| Runtime | Precision | Chipset | SDK Versions | Download |
|---|---|---|---|---|
| ONNX | float | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | Download |
| ONNX | w8a16 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | Download |
| ONNX | w8a8 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | Download |
| QNN_DLC | float | Universal | QAIRT 2.43 | Download |
| QNN_DLC | w8a16 | Universal | QAIRT 2.43 | Download |
| QNN_DLC | w8a8 | Universal | QAIRT 2.43 | Download |
| TFLITE | float | Universal | QAIRT 2.43, TFLite 2.17.0 | Download |
| TFLITE | w8a8 | Universal | QAIRT 2.43, TFLite 2.17.0 | Download |
For more device-specific assets and performance metrics, visit MediaPipe-Selfie-Segmentation on Qualcomm® AI Hub.
Option 2: Export with Custom Configurations
Use the Qualcomm® AI Hub Models Python library to compile and export the model with your own:
- Custom weights (e.g., fine-tuned checkpoints)
- Custom input shapes
- Target device and runtime configurations
This option is ideal if you need to customize the model beyond the default configuration provided here.
See our repository for MediaPipe-Selfie-Segmentation on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.semantic_segmentation
Model Stats:
- Model checkpoint: Square
- Input resolution (Square): 256x256
- Input resolution (Landscape): 144x256
- Number of output classes: 6
- Number of parameters: 106K
- Model size (float): 447 KB
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| MediaPipe-Selfie-Segmentation | ONNX | float | Snapdragon® X2 Elite | 0.381 ms | 0 - 0 MB | NPU |
| MediaPipe-Selfie-Segmentation | ONNX | float | Snapdragon® X Elite | 0.919 ms | 2 - 2 MB | NPU |
| MediaPipe-Selfie-Segmentation | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.524 ms | 0 - 37 MB | NPU |
| MediaPipe-Selfie-Segmentation | ONNX | float | Qualcomm® QCS8550 (Proxy) | 0.783 ms | 1 - 2 MB | NPU |
| MediaPipe-Selfie-Segmentation | ONNX | float | Qualcomm® QCS9075 | 0.98 ms | 1 - 4 MB | NPU |
| MediaPipe-Selfie-Segmentation | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.413 ms | 0 - 24 MB | NPU |
| MediaPipe-Selfie-Segmentation | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.368 ms | 0 - 31 MB | NPU |
| MediaPipe-Selfie-Segmentation | ONNX | w8a16 | Snapdragon® X2 Elite | 0.401 ms | 0 - 0 MB | NPU |
| MediaPipe-Selfie-Segmentation | ONNX | w8a16 | Snapdragon® X Elite | 1.005 ms | 1 - 1 MB | NPU |
| MediaPipe-Selfie-Segmentation | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.549 ms | 0 - 41 MB | NPU |
| MediaPipe-Selfie-Segmentation | ONNX | w8a16 | Qualcomm® QCS6490 | 30.509 ms | 14 - 17 MB | CPU |
| MediaPipe-Selfie-Segmentation | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 0.831 ms | 0 - 3 MB | NPU |
| MediaPipe-Selfie-Segmentation | ONNX | w8a16 | Qualcomm® QCS9075 | 0.963 ms | 0 - 3 MB | NPU |
| MediaPipe-Selfie-Segmentation | ONNX | w8a16 | Qualcomm® QCM6690 | 11.682 ms | 15 - 23 MB | CPU |
| MediaPipe-Selfie-Segmentation | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.447 ms | 0 - 37 MB | NPU |
| MediaPipe-Selfie-Segmentation | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 7.999 ms | 15 - 23 MB | CPU |
| MediaPipe-Selfie-Segmentation | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.384 ms | 0 - 37 MB | NPU |
| MediaPipe-Selfie-Segmentation | ONNX | w8a8 | Snapdragon® X2 Elite | 0.18 ms | 0 - 0 MB | NPU |
| MediaPipe-Selfie-Segmentation | ONNX | w8a8 | Snapdragon® X Elite | 0.479 ms | 1 - 1 MB | NPU |
| MediaPipe-Selfie-Segmentation | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.245 ms | 0 - 36 MB | NPU |
| MediaPipe-Selfie-Segmentation | ONNX | w8a8 | Qualcomm® QCS6490 | 9.853 ms | 7 - 11 MB | CPU |
| MediaPipe-Selfie-Segmentation | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.366 ms | 0 - 2 MB | NPU |
| MediaPipe-Selfie-Segmentation | ONNX | w8a8 | Qualcomm® QCS9075 | 0.515 ms | 0 - 3 MB | NPU |
| MediaPipe-Selfie-Segmentation | ONNX | w8a8 | Qualcomm® QCM6690 | 5.975 ms | 7 - 15 MB | CPU |
| MediaPipe-Selfie-Segmentation | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.208 ms | 0 - 30 MB | NPU |
| MediaPipe-Selfie-Segmentation | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 4.128 ms | 0 - 8 MB | CPU |
| MediaPipe-Selfie-Segmentation | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.191 ms | 0 - 30 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | float | Snapdragon® X2 Elite | 0.46 ms | 1 - 1 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | float | Snapdragon® X Elite | 0.856 ms | 1 - 1 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.458 ms | 0 - 36 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 1.797 ms | 0 - 26 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 0.686 ms | 1 - 17 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | float | Qualcomm® SA8775P | 0.973 ms | 1 - 28 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | float | Qualcomm® QCS9075 | 0.858 ms | 1 - 3 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 0.941 ms | 0 - 39 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | float | Qualcomm® SA7255P | 1.797 ms | 0 - 26 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | float | Qualcomm® SA8295P | 1.294 ms | 0 - 25 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.359 ms | 0 - 26 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.323 ms | 1 - 30 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.379 ms | 0 - 0 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a16 | Snapdragon® X Elite | 0.754 ms | 0 - 0 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.423 ms | 0 - 36 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a16 | Qualcomm® QCS6490 | 1.816 ms | 0 - 3 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 1.327 ms | 0 - 27 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 0.604 ms | 0 - 2 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a16 | Qualcomm® SA8775P | 3.31 ms | 0 - 27 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 0.745 ms | 0 - 2 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 2.085 ms | 0 - 141 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a16 | Qualcomm® QCS8450 (Proxy) | 0.758 ms | 0 - 39 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a16 | Qualcomm® SA7255P | 1.327 ms | 0 - 27 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a16 | Qualcomm® SA8295P | 1.104 ms | 0 - 24 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.331 ms | 0 - 27 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 0.612 ms | 0 - 26 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.268 ms | 0 - 31 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.233 ms | 0 - 0 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.383 ms | 0 - 0 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.184 ms | 0 - 32 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 0.818 ms | 2 - 4 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 0.686 ms | 0 - 24 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.265 ms | 0 - 16 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a8 | Qualcomm® SA8775P | 0.451 ms | 0 - 25 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 0.354 ms | 0 - 2 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 0.828 ms | 0 - 22 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.343 ms | 0 - 34 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a8 | Qualcomm® SA7255P | 0.686 ms | 0 - 24 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a8 | Qualcomm® SA8295P | 0.631 ms | 0 - 21 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.146 ms | 0 - 22 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.261 ms | 0 - 23 MB | NPU |
| MediaPipe-Selfie-Segmentation | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.132 ms | 0 - 25 MB | NPU |
| MediaPipe-Selfie-Segmentation | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.46 ms | 0 - 36 MB | NPU |
| MediaPipe-Selfie-Segmentation | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 1.817 ms | 0 - 26 MB | NPU |
| MediaPipe-Selfie-Segmentation | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 0.69 ms | 0 - 2 MB | NPU |
| MediaPipe-Selfie-Segmentation | TFLITE | float | Qualcomm® SA8775P | 1.014 ms | 0 - 28 MB | NPU |
| MediaPipe-Selfie-Segmentation | TFLITE | float | Qualcomm® QCS9075 | 0.868 ms | 0 - 3 MB | NPU |
| MediaPipe-Selfie-Segmentation | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 0.946 ms | 0 - 39 MB | NPU |
| MediaPipe-Selfie-Segmentation | TFLITE | float | Qualcomm® SA7255P | 1.817 ms | 0 - 26 MB | NPU |
| MediaPipe-Selfie-Segmentation | TFLITE | float | Qualcomm® SA8295P | 1.327 ms | 0 - 25 MB | NPU |
| MediaPipe-Selfie-Segmentation | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.365 ms | 0 - 30 MB | NPU |
| MediaPipe-Selfie-Segmentation | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.319 ms | 0 - 30 MB | NPU |
| MediaPipe-Selfie-Segmentation | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.177 ms | 0 - 31 MB | NPU |
| MediaPipe-Selfie-Segmentation | TFLITE | w8a8 | Qualcomm® QCS6490 | 0.69 ms | 0 - 3 MB | NPU |
| MediaPipe-Selfie-Segmentation | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 0.709 ms | 0 - 23 MB | NPU |
| MediaPipe-Selfie-Segmentation | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.267 ms | 0 - 2 MB | NPU |
| MediaPipe-Selfie-Segmentation | TFLITE | w8a8 | Qualcomm® SA8775P | 0.467 ms | 0 - 24 MB | NPU |
| MediaPipe-Selfie-Segmentation | TFLITE | w8a8 | Qualcomm® QCS9075 | 0.399 ms | 0 - 2 MB | NPU |
| MediaPipe-Selfie-Segmentation | TFLITE | w8a8 | Qualcomm® QCM6690 | 0.856 ms | 0 - 21 MB | NPU |
| MediaPipe-Selfie-Segmentation | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.353 ms | 0 - 32 MB | NPU |
| MediaPipe-Selfie-Segmentation | TFLITE | w8a8 | Qualcomm® SA7255P | 0.709 ms | 0 - 23 MB | NPU |
| MediaPipe-Selfie-Segmentation | TFLITE | w8a8 | Qualcomm® SA8295P | 0.64 ms | 0 - 20 MB | NPU |
| MediaPipe-Selfie-Segmentation | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.155 ms | 0 - 22 MB | NPU |
| MediaPipe-Selfie-Segmentation | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.266 ms | 0 - 21 MB | NPU |
| MediaPipe-Selfie-Segmentation | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.139 ms | 0 - 25 MB | NPU |
License
- The license for the original implementation of MediaPipe-Selfie-Segmentation can be found here.
References
Community
- Join our AI Hub Slack community to collaborate, post questions and learn more about on-device AI.
- For questions or feedback please reach out to us.
