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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.

Model RepositoryHugging FaceResearch Paper

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 IoT Devices

  • QCS8275 (Proxy)
  • QCS8550 (Proxy)
  • QCS9075 (Proxy)

Supported IoT Chipsets

  • Qualcomm® QCS8275 (Proxy)
  • Qualcomm® QCS8550 (Proxy)
  • Qualcomm® QCS9075 (Proxy)

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