Qualcomm® AI HubAI Hub

Yolo-NAS

Real-time object detection optimized for mobile and edge.

YoloNAS is a machine learning model that predicts bounding boxes and classes of objects in an image.

Snapdragon® X Elite
10.1ms
Inference Time
5MB
Memory Usage
290NPU
Layers

Technical Details

Model checkpoint:YoloNAS Small
Input resolution:640x640
Number of parameters:12.2M
Model size:46.6 MB

Applicable Scenarios

  • Factory Automation
  • Robotic Navigation
  • Camera

Licenses

Source Model:APACHE-2.0
Deployable Model:AI Model Hub License

Tags

  • real-time
    A “real-time” model can typically achieve 5-60 predictions per second. This translates to latency ranging up to 200 ms per prediction.

Supported Compute Chipsets

  • Snapdragon® X Elite