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EfficientViT-l2-seg

Semantic segmentation in higher resuolution.

EfficientViT is a machine learning model that can segment images from the Cityscape dataset. It has lightweight and hardware‑efficient operations and thus delivers significant speedup on diverse hardware platforms

Technical Details

Model checkpoint:l2.pt
Input resolution:2048x1024
Number of parameters:53M
Model size:200 MB
Number of output classes:19

Applicable Scenarios

  • Automotive
  • Autonomous Driving
  • Camera

Licenses

Source Model:BSD-3-CLAUSE
Deployable Model:AI Model Hub License

Tags

  • real-time

Supported Automotive Devices

  • SA7255P ADP
  • SA8255 (Proxy)
  • SA8295P ADP
  • SA8650 (Proxy)
  • SA8775P ADP

Supported Automotive Chipsets

  • Qualcomm® SA7255P
  • Qualcomm® SA8255P (Proxy)
  • Qualcomm® SA8295P
  • Qualcomm® SA8650P (Proxy)
  • Qualcomm® SA8775P

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