YOLOv8n Nano 320x320
Model Overview
A YOLOv8n model for object detection optimized for 320x320 resolution, offering a balance between speed and accuracy.
The YOLOv8n 320x320 model is developed and optimized for the Synaptics Astra™ SL2610-Series processors Torq NPU.
Model Features
- Model Type: Object Detection
- Input Size: 320x320
- Output Size: 1x84x2100
Deployment
The compiled model file is available for download on Huggingface at Synaptics/yolo.
Usage tutorial available at Synaptics AI Developer Zone / SL2600 / Object Detection.
Performance on NPU
| Processors | Inference Time (ms) |
|---|---|
| SL2619 | 30.617 |
License
Both the source model and the compiled model for on-device deployment are licensed under AGPL-3.0.
Learn More
- Synaptics AI Developer Zone: Get started with documentation, tutorials and resources for your Edge AI journey.
- Astra Support Portal: Connect with our engineering team and community.
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