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 IoT Devices
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS8550 (Proxy)
Related Models
See all models
Looking for more? See models created by industry leaders.
Discover Model Makers