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Yolo-v3

Real‑time object detection optimized for mobile and edge.

YoloV3 is a machine learning model that predicts bounding boxes and classes of objects in an image.

Model RepositoryHugging FaceResearch Paper

Technical Details

Model checkpoint:YoloV3 Tiny
Input resolution:416p (416x416)
Number of parameters:8.85M
Model size:24.4 MB

Applicable Scenarios

  • Factory Automation
  • Robotic Navigation
  • Camera

Licenses

Source Model:GPL-3.0
Deployable Model:GPL-3.0

Tags

  • real-time

Supported IoT Devices

  • QCS8550 (Proxy)

Supported IoT Chipsets

  • Qualcomm® QCS8550 (Proxy)

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