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Yolo-NAS-Quantized

Quantized 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. This model is post‑training quantized to int8 using samples from the COCO dataset.

Technical Details

Model checkpoint:YoloNAS Small
Input resolution:640x640
Number of parameters:12.2M
Model size:12.1 MB

Applicable Scenarios

  • Factory Automation
  • Robotic Navigation
  • Camera

Licenses

Source Model:OTHER
Deployable Model:OTHER

Tags

  • real-time
  • quantized

Supported Compute Devices

  • Snapdragon X Elite CRD
  • Snapdragon X Plus 8-Core CRD

Supported Compute Chipsets

  • Snapdragon® X Elite
  • Snapdragon® X Plus 8-Core

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