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.

License

Both the source model and the compiled model for on-device deployment are licensed under AGPL-3.0.

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