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.
Technical Details
Model checkpoint:ffnet54S_dBBB_cityscapes_state_dict_quarts
Input resolution:2048x1024
Number of parameters:18.0M
Model size:68.8 MB
Number of output classes:19
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