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YOLOv8-Segmentation

Image Segmentation
PyTorch
real_time
android
Model card Files
xet
 Community
1

YOLOv8-Segmentation: Optimized for Qualcomm Devices

Ultralytics YOLOv8 is a machine learning model that predicts bounding boxes, segmentation masks and classes of objects in an image.

This is based on the implementation of YOLOv8-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

Due to licensing restrictions, we cannot distribute pre-exported model assets for this model. 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

See our repository for YOLOv8-Segmentation on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.semantic_segmentation

Model Stats:

  • Input resolution: 640x640
  • Model checkpoint: YOLOv8N-Seg
  • Model size (float): 13.2 MB
  • Model size (w8a16): 3.91 MB
  • Number of output classes: 80
  • Number of parameters: 3.43M

Performance Summary

Model Runtime Precision Chipset Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit
YOLOv8-Segmentation ONNX float Snapdragon® X2 Elite 3.791 ms 17 - 17 MB NPU
YOLOv8-Segmentation ONNX float Snapdragon® X Elite 7.125 ms 17 - 17 MB NPU
YOLOv8-Segmentation ONNX float Snapdragon® 8 Gen 3 Mobile 5.959 ms 17 - 243 MB NPU
YOLOv8-Segmentation ONNX float Snapdragon® 8 Gen 1 Mobile 12.508 ms 17 - 223 MB NPU
YOLOv8-Segmentation ONNX float Qualcomm® Dragonwing™ IQ-8275 9.386 ms 15 - 19 MB NPU
YOLOv8-Segmentation ONNX float Qualcomm® Dragonwing™ QCS8550 (Proxy) 7.579 ms 9 - 16 MB NPU
YOLOv8-Segmentation ONNX float Qualcomm® QCS8450 12.508 ms 17 - 223 MB NPU
YOLOv8-Segmentation ONNX float Qualcomm® Dragonwing™ IQ-9075 9.101 ms 15 - 18 MB NPU
YOLOv8-Segmentation ONNX float Qualcomm® Dragonwing™ IQ-X7181 7.125 ms 17 - 17 MB NPU
YOLOv8-Segmentation ONNX float Qualcomm® Dragonwing™ Q-8750 4.716 ms 13 - 203 MB NPU
YOLOv8-Segmentation ONNX float Snapdragon® 8 Elite Mobile 4.716 ms 13 - 203 MB NPU
YOLOv8-Segmentation ONNX float Snapdragon® 8 Elite Gen 5 Mobile 4.255 ms 3 - 215 MB NPU
YOLOv8-Segmentation QNN_DLC float Snapdragon® X2 Elite 2.835 ms 5 - 5 MB NPU
YOLOv8-Segmentation QNN_DLC float Snapdragon® X Elite 4.99 ms 5 - 5 MB NPU
YOLOv8-Segmentation QNN_DLC float Snapdragon® 8 Gen 3 Mobile 3.429 ms 5 - 211 MB NPU
YOLOv8-Segmentation QNN_DLC float Snapdragon® 8 Gen 1 Mobile 9.337 ms 4 - 198 MB NPU
YOLOv8-Segmentation QNN_DLC float Qualcomm® Dragonwing™ IQ-8275 6.389 ms 5 - 16 MB NPU
YOLOv8-Segmentation QNN_DLC float Qualcomm® Dragonwing™ IQ-8275 17.129 ms 2 - 182 MB NPU
YOLOv8-Segmentation QNN_DLC float Qualcomm® Dragonwing™ QCS8550 (Proxy) 4.67 ms 5 - 96 MB NPU
YOLOv8-Segmentation QNN_DLC float Qualcomm® SA8775P 6.533 ms 0 - 181 MB NPU
YOLOv8-Segmentation QNN_DLC float Qualcomm® SA8650P 6.533 ms 0 - 181 MB NPU
YOLOv8-Segmentation QNN_DLC float Qualcomm® SA8255P 6.533 ms 0 - 181 MB NPU
YOLOv8-Segmentation QNN_DLC float Qualcomm® QCS8450 9.337 ms 4 - 198 MB NPU
YOLOv8-Segmentation QNN_DLC float Qualcomm® Dragonwing™ IQ-9075 6.31 ms 5 - 15 MB NPU
YOLOv8-Segmentation QNN_DLC float Qualcomm® Dragonwing™ IQ-X7181 4.99 ms 5 - 5 MB NPU
YOLOv8-Segmentation QNN_DLC float Qualcomm® Dragonwing™ Q-8750 2.799 ms 0 - 180 MB NPU
YOLOv8-Segmentation QNN_DLC float Qualcomm® SA7255P 17.129 ms 2 - 182 MB NPU
YOLOv8-Segmentation QNN_DLC float Qualcomm® SA8295P 9.409 ms 0 - 166 MB NPU
YOLOv8-Segmentation QNN_DLC float Snapdragon® 8 Elite Mobile 2.799 ms 0 - 180 MB NPU
YOLOv8-Segmentation QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 2.054 ms 5 - 199 MB NPU
YOLOv8-Segmentation TFLITE float Snapdragon® 8 Gen 3 Mobile 3.01 ms 0 - 107 MB NPU
YOLOv8-Segmentation TFLITE float Snapdragon® 8 Gen 1 Mobile 8.714 ms 4 - 88 MB NPU
YOLOv8-Segmentation TFLITE float Qualcomm® Dragonwing™ IQ-8275 5.902 ms 4 - 24 MB NPU
YOLOv8-Segmentation TFLITE float Qualcomm® Dragonwing™ IQ-8275 16.282 ms 4 - 83 MB NPU
YOLOv8-Segmentation TFLITE float Qualcomm® Dragonwing™ QCS8550 (Proxy) 4.08 ms 4 - 7 MB NPU
YOLOv8-Segmentation TFLITE float Qualcomm® SA8775P 6.044 ms 4 - 87 MB NPU
YOLOv8-Segmentation TFLITE float Qualcomm® SA8650P 6.044 ms 4 - 87 MB NPU
YOLOv8-Segmentation TFLITE float Qualcomm® SA8255P 6.044 ms 4 - 87 MB NPU
YOLOv8-Segmentation TFLITE float Qualcomm® QCS8450 8.714 ms 4 - 88 MB NPU
YOLOv8-Segmentation TFLITE float Qualcomm® Dragonwing™ IQ-9075 5.76 ms 4 - 23 MB NPU
YOLOv8-Segmentation TFLITE float Qualcomm® Dragonwing™ Q-8750 2.27 ms 0 - 94 MB NPU
YOLOv8-Segmentation TFLITE float Qualcomm® SA7255P 16.282 ms 4 - 83 MB NPU
YOLOv8-Segmentation TFLITE float Qualcomm® SA8295P 8.645 ms 4 - 60 MB NPU
YOLOv8-Segmentation TFLITE float Snapdragon® 8 Elite Mobile 2.27 ms 0 - 94 MB NPU
YOLOv8-Segmentation TFLITE float Snapdragon® 8 Elite Gen 5 Mobile 1.879 ms 0 - 92 MB NPU

License

  • The license for the original implementation of YOLOv8-Segmentation can be found here.

References

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