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.

Qualcomm® QCS8550
QCS8550 (Proxy)
25.9ms
Inference Time
2-5MB
Memory Usage
113NPU
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 IoT Devices

  • QCS8550 (Proxy)

Supported IoT Chipsets

  • Qualcomm® QCS8550