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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.

Note: Yolo-v5 cannot be downloaded directly due to licensing restrictions. You can export a model ready for on-device deployment using the AI Hub service.

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Model RepositoryHugging Face

Technical Details

Model checkpoint:YoloV5-M
Input resolution:640x640
Number of parameters:21.2M
Model size (float):81.1 MB
Model size (w8a16):21.8 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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