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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 output classes:19
Model size (float):201 MB

Applicable Scenarios

  • Automotive
  • Autonomous Driving
  • Camera

Licenses

Source Model:BSD-3-CLAUSE
Deployable Model:AI-HUB-MODELS-LICENSE

Tags

  • real-time

Supported IoT Chipsets

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