Qualcomm® AI HubAI Hub

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

Not supported

This model is currently not supported on any Automotive chipset.

To see performance metrics for this model on other chipsets, click the button below.

View for other chipsets

Technical Details

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

Applicable Scenarios

  • Automotive
  • Autonomous Driving
  • Camera

Licenses

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

Tags

  • real-time

Supported Automotive Chipsets

    Related Models

    See all models

    Looking for more? See models created by industry leaders.

    Discover Model Makers