YOLOv8-Segmentation
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.
Note: YOLOv8-Segmentation cannot be downloaded directly due to licensing restrictions. You can export a model ready for on-device deployment using the AI Hub service.
Not supported
This model is currently not supported on any IoT chipset.
To see performance metrics for this model on other chipsets, click the button below.
View for other chipsetsTechnical Details
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
Applicable Scenarios
- Factory Automation
- Robotic Navigation
- Camera
License
Model:AGPL-3.0
Tags
- real-time
Supported IoT Devices
- Dragonwing IQ-8275 EVK
- Dragonwing IQ-9075 EVK
- Dragonwing IQ-X5121
- Dragonwing IQ-X7181
- Dragonwing Q-8750
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® Dragonwing™ IQ-X7181
- Qualcomm® Dragonwing™ QCS8275
- Qualcomm® Dragonwing™ QCS8550 (Proxy)
- Qualcomm® Dragonwing™ Q-8750
- Qualcomm® Dragonwing™ IQ-9075
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