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FFNet-54S

Semantic segmentation for automotive street scenes.

FFNet-54S is a "fuss-free network" that segments street scene images with per-pixel classes like road, sidewalk, and pedestrian. Trained on the Cityscapes dataset.

Snapdragon® X Elite
25.7ms
Inference Time
24MB
Memory Usage
175NPU
Layers

Technical Details

Model checkpoint:ffnet54S_dBBB_cityscapes_state_dict_quarts
Input resolution:2048x1024
Number of parameters:18.0M
Model size:68.8 MB

Applicable Scenarios

  • Automotive
  • Autonomous Driving
  • Camera

Licenses

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

Supported Compute Chipsets

  • Snapdragon® X Elite