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Yolo-X

Real‑time object detection optimized for mobile and edge.

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

Technical Details

Model checkpoint:YoloX Medium
Input resolution:640x640
Number of parameters:25.3M
Model size:96.7 MB

Applicable Scenarios

  • Factory Automation
  • Robotic Navigation
  • Camera

Licenses

Source Model:APACHE-2.0
Deployable Model:AI-HUB-MODELS-LICENSE

Tags

  • real-time

Supported Automotive Devices

  • SA7255P ADP
  • SA8255 (Proxy)
  • SA8295P ADP
  • SA8650 (Proxy)
  • SA8775P ADP

Supported Automotive Chipsets

  • Qualcomm® SA7255P
  • Qualcomm® SA8255P (Proxy)
  • Qualcomm® SA8295P
  • Qualcomm® SA8650P (Proxy)
  • Qualcomm® SA8775P

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