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FFNet-78S-LowRes

Semantic segmentation for automotive street scenes.

FFNet‑78S‑LowRes is a "fuss‑free network" that segments street scene images with per‑pixel classes like road, sidewalk, and pedestrian. Trained on the Cityscapes dataset.

Technical Details

Model checkpoint:ffnet78S_BCC_cityscapes_state_dict_quarts_pre_down
Input resolution:1024x512
Number of parameters:26.8M
Model size:102 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 Compute Devices

  • Snapdragon X Elite CRD
  • Snapdragon X Plus 8-Core CRD

Supported Compute Chipsets

  • Snapdragon® X Elite
  • Snapdragon® X Plus 8-Core

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