Object Detection

Object Detection

  • 200K~25M
    Model Size (ROM)
  • 200K~10M
    Memory Usage (RAM)
  • 60~98%
    mAP (Depends on Tasks)
  • 0.2~145GOPS
    Compute (Depends on Tasks)

Our Edge

  • Edge-optimized object detection

  • Compact model with industry-leading accuracy-to-size ratio

  • Works with color (day) and NIR (night) camera inputs

  • Plug-and-play deployment, no retraining required for default tasks (people, pets, packages, fish and more)

  • Configurable for custom object types and use cases