Semantic segmentation for automotive street scenes.
FFNet‑78S is a "fuss‑free network" that segments street scene images with per‑pixel classes like road, sidewalk, and pedestrian. Trained on the Cityscapes dataset.
Model checkpoint:ffnet78S_dBBB_cityscapes_state_dict_quarts
Input resolution:2048x1024
Number of output classes:19
Number of parameters:27.5M
Model size (float):105 MB
Model size (w8a8):26.7 MB
Automotive
Autonomous Driving
Camera
Source Model: BSD-3-CLAUSE
Deployable Model: AI-HUB-MODELS-LICENSE