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Yolo-v5

Real‑time object detection optimized for mobile and edge.

YoloV5 is a machine learning model that predicts bounding boxes and classes of objects in an image.

Not supported

This model is currently not supported on any Automotive chipset.

To see performance metrics for this model on other chipsets, click the button below.

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Technical Details

Model checkpoint:YoloV5-M
Input resolution:640x640
Number of parameters:21.2M
Model size:81.1 MB

Applicable Scenarios

  • Factory Automation
  • Robotic Navigation
  • Camera

Licenses

Source Model:AGPL-3.0
Deployable Model:AGPL-3.0

Tags

  • real-time

Supported Automotive Chipsets

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