YOLOv8-Segmentation: Optimized for Mobile Deployment

Real-time object segmentation optimized for mobile and edge by Ultralytics

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

This model is an implementation of YOLOv8-Segmentation found here.

More details on model performance across various devices, can be found here.

Model Details

  • Model Type: Model_use_case.semantic_segmentation
  • Model Stats:
    • Model checkpoint: YOLOv8N-Seg
    • Input resolution: 640x640
    • Number of parameters: 3.43M
    • Number of output classes: 80
    • Model size (float): 13.2 MB
Model Precision Device Chipset Target Runtime Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit Target Model
YOLOv8-Segmentation float QCS8275 (Proxy) Qualcomm® QCS8275 (Proxy) TFLITE 21.491 ms 4 - 65 MB NPU --
YOLOv8-Segmentation float QCS8275 (Proxy) Qualcomm® QCS8275 (Proxy) QNN_DLC 17.023 ms 4 - 117 MB NPU --
YOLOv8-Segmentation float QCS8450 (Proxy) Qualcomm® QCS8450 (Proxy) TFLITE 11.53 ms 4 - 50 MB NPU --
YOLOv8-Segmentation float QCS8450 (Proxy) Qualcomm® QCS8450 (Proxy) QNN_DLC 10.219 ms 5 - 43 MB NPU --
YOLOv8-Segmentation float QCS8550 (Proxy) Qualcomm® QCS8550 (Proxy) TFLITE 8.117 ms 4 - 27 MB NPU --
YOLOv8-Segmentation float QCS8550 (Proxy) Qualcomm® QCS8550 (Proxy) QNN_DLC 4.457 ms 5 - 41 MB NPU --
YOLOv8-Segmentation float QCS9075 (Proxy) Qualcomm® QCS9075 (Proxy) TFLITE 10.25 ms 4 - 66 MB NPU --
YOLOv8-Segmentation float QCS9075 (Proxy) Qualcomm® QCS9075 (Proxy) QNN_DLC 6.317 ms 0 - 112 MB NPU --
YOLOv8-Segmentation float SA7255P ADP Qualcomm® SA7255P TFLITE 21.491 ms 4 - 65 MB NPU --
YOLOv8-Segmentation float SA7255P ADP Qualcomm® SA7255P QNN_DLC 17.023 ms 4 - 117 MB NPU --
YOLOv8-Segmentation float SA8255 (Proxy) Qualcomm® SA8255P (Proxy) TFLITE 8.169 ms 4 - 28 MB NPU --
YOLOv8-Segmentation float SA8255 (Proxy) Qualcomm® SA8255P (Proxy) QNN_DLC 4.48 ms 5 - 48 MB NPU --
YOLOv8-Segmentation float SA8295P ADP Qualcomm® SA8295P TFLITE 12.674 ms 4 - 34 MB NPU --
YOLOv8-Segmentation float SA8295P ADP Qualcomm® SA8295P QNN_DLC 8.576 ms 0 - 34 MB NPU --
YOLOv8-Segmentation float SA8650 (Proxy) Qualcomm® SA8650P (Proxy) TFLITE 8.213 ms 4 - 26 MB NPU --
YOLOv8-Segmentation float SA8650 (Proxy) Qualcomm® SA8650P (Proxy) QNN_DLC 4.481 ms 5 - 35 MB NPU --
YOLOv8-Segmentation float SA8775P ADP Qualcomm® SA8775P TFLITE 10.25 ms 4 - 66 MB NPU --
YOLOv8-Segmentation float SA8775P ADP Qualcomm® SA8775P QNN_DLC 6.317 ms 0 - 112 MB NPU --
YOLOv8-Segmentation float Samsung Galaxy S23 Snapdragon® 8 Gen 2 Mobile TFLITE 8.157 ms 4 - 27 MB NPU --
YOLOv8-Segmentation float Samsung Galaxy S23 Snapdragon® 8 Gen 2 Mobile QNN_DLC 4.47 ms 4 - 43 MB NPU --
YOLOv8-Segmentation float Samsung Galaxy S23 Snapdragon® 8 Gen 2 Mobile ONNX 6.584 ms 9 - 78 MB NPU --
YOLOv8-Segmentation float Samsung Galaxy S24 Snapdragon® 8 Gen 3 Mobile TFLITE 5.902 ms 3 - 68 MB NPU --
YOLOv8-Segmentation float Samsung Galaxy S24 Snapdragon® 8 Gen 3 Mobile QNN_DLC 3.28 ms 5 - 204 MB NPU --
YOLOv8-Segmentation float Samsung Galaxy S24 Snapdragon® 8 Gen 3 Mobile ONNX 4.467 ms 16 - 208 MB NPU --
YOLOv8-Segmentation float Snapdragon 8 Elite QRD Snapdragon® 8 Elite Mobile TFLITE 5.555 ms 3 - 66 MB NPU --
YOLOv8-Segmentation float Snapdragon 8 Elite QRD Snapdragon® 8 Elite Mobile QNN_DLC 2.965 ms 5 - 130 MB NPU --
YOLOv8-Segmentation float Snapdragon 8 Elite QRD Snapdragon® 8 Elite Mobile ONNX 4.315 ms 5 - 136 MB NPU --
YOLOv8-Segmentation float Snapdragon X Elite CRD Snapdragon® X Elite QNN_DLC 5.029 ms 5 - 5 MB NPU --
YOLOv8-Segmentation float Snapdragon X Elite CRD Snapdragon® X Elite ONNX 7.084 ms 17 - 17 MB NPU --
YOLOv8-Segmentation w8a16 QCS8275 (Proxy) Qualcomm® QCS8275 (Proxy) QNN_DLC 8.192 ms 1 - 35 MB NPU --
YOLOv8-Segmentation w8a16 QCS8450 (Proxy) Qualcomm® QCS8450 (Proxy) QNN_DLC 5.093 ms 2 - 43 MB NPU --
YOLOv8-Segmentation w8a16 QCS8550 (Proxy) Qualcomm® QCS8550 (Proxy) QNN_DLC 4.052 ms 2 - 15 MB NPU --
YOLOv8-Segmentation w8a16 QCS9075 (Proxy) Qualcomm® QCS9075 (Proxy) QNN_DLC 4.734 ms 2 - 39 MB NPU --
YOLOv8-Segmentation w8a16 RB3 Gen 2 (Proxy) Qualcomm® QCS6490 (Proxy) QNN_DLC 15.849 ms 2 - 39 MB NPU --
YOLOv8-Segmentation w8a16 SA7255P ADP Qualcomm® SA7255P QNN_DLC 8.192 ms 1 - 35 MB NPU --
YOLOv8-Segmentation w8a16 SA8255 (Proxy) Qualcomm® SA8255P (Proxy) QNN_DLC 4.062 ms 2 - 14 MB NPU --
YOLOv8-Segmentation w8a16 SA8295P ADP Qualcomm® SA8295P QNN_DLC 5.404 ms 2 - 39 MB NPU --
YOLOv8-Segmentation w8a16 SA8650 (Proxy) Qualcomm® SA8650P (Proxy) QNN_DLC 4.06 ms 2 - 16 MB NPU --
YOLOv8-Segmentation w8a16 SA8775P ADP Qualcomm® SA8775P QNN_DLC 4.734 ms 2 - 39 MB NPU --
YOLOv8-Segmentation w8a16 Samsung Galaxy S23 Snapdragon® 8 Gen 2 Mobile QNN_DLC 4.055 ms 2 - 15 MB NPU --
YOLOv8-Segmentation w8a16 Samsung Galaxy S23 Snapdragon® 8 Gen 2 Mobile ONNX 7.963 ms 6 - 28 MB NPU --
YOLOv8-Segmentation w8a16 Samsung Galaxy S24 Snapdragon® 8 Gen 3 Mobile QNN_DLC 2.685 ms 2 - 48 MB NPU --
YOLOv8-Segmentation w8a16 Samsung Galaxy S24 Snapdragon® 8 Gen 3 Mobile ONNX 5.161 ms 10 - 83 MB NPU --
YOLOv8-Segmentation w8a16 Snapdragon 8 Elite QRD Snapdragon® 8 Elite Mobile QNN_DLC 1.918 ms 2 - 44 MB NPU --
YOLOv8-Segmentation w8a16 Snapdragon 8 Elite QRD Snapdragon® 8 Elite Mobile ONNX 4.743 ms 9 - 106 MB NPU --
YOLOv8-Segmentation w8a16 Snapdragon X Elite CRD Snapdragon® X Elite QNN_DLC 4.951 ms 0 - 0 MB NPU --
YOLOv8-Segmentation w8a16 Snapdragon X Elite CRD Snapdragon® X Elite ONNX 8.711 ms 15 - 15 MB NPU --

License

  • The license for the original implementation of YOLOv8-Segmentation can be found here.
  • The license for the compiled assets for on-device deployment can be found here

References

Community

Usage and Limitations

Model may not be used for or in connection with any of the following applications:

  • Accessing essential private and public services and benefits;
  • Administration of justice and democratic processes;
  • Assessing or recognizing the emotional state of a person;
  • Biometric and biometrics-based systems, including categorization of persons based on sensitive characteristics;
  • Education and vocational training;
  • Employment and workers management;
  • Exploitation of the vulnerabilities of persons resulting in harmful behavior;
  • General purpose social scoring;
  • Law enforcement;
  • Management and operation of critical infrastructure;
  • Migration, asylum and border control management;
  • Predictive policing;
  • Real-time remote biometric identification in public spaces;
  • Recommender systems of social media platforms;
  • Scraping of facial images (from the internet or otherwise); and/or
  • Subliminal manipulation
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support