FFNet-40S
Semantic segmentation for automotive street scenes.
FFNet‑40S is a "fuss‑free network" that segments street scene images with per‑pixel classes like road, sidewalk, and pedestrian. Trained on the Cityscapes dataset.
Not supported
This model is currently not supported on any Mobile chipset.
To see performance metrics for this model on other chipsets, click the button below.
View for other chipsetsTechnical Details
Model checkpoint:ffnet40S_dBBB_cityscapes_state_dict_quarts
Input resolution:2048x1024
Number of output classes:19
Number of parameters:13.9M
Model size (float):53.1 MB
Model size (w8a8):13.5 MB
Applicable Scenarios
- Automotive
- Autonomous Driving
- Camera
Supported Mobile Form Factors
- Phone
- Tablet
License
Model:BSD-3-CLAUSE
Tags
- real-time
Supported Mobile Devices
- Samsung Galaxy S21
- Samsung Galaxy S21 Ultra
- Samsung Galaxy S22 5G
- Samsung Galaxy S22 Ultra 5G
- Samsung Galaxy S22+ 5G
- Samsung Galaxy S23
- Samsung Galaxy S23 Ultra
- Samsung Galaxy S23+
- Samsung Galaxy S24
- Samsung Galaxy S24 Ultra
- Samsung Galaxy S24+
- Samsung Galaxy S25
- Samsung Galaxy S25 Ultra
- Samsung Galaxy S25+
- Samsung Galaxy Tab S8
- Snapdragon 7 Gen 4 QRD
- Snapdragon 8 Elite Gen 5 QRD
- Xiaomi 12
- Xiaomi 12 Pro
Supported Mobile Chipsets
- Snapdragon® 7 Gen 4 Mobile
- Snapdragon® 8 Elite Mobile
- Snapdragon® 8 Elite Gen 5 Mobile
- Snapdragon® 8 Gen 1 Mobile
- Snapdragon® 8 Gen 2 Mobile
- Snapdragon® 8 Gen 3 Mobile
- Snapdragon® 888 Mobile
Related Models
See all models
Sample Appsfeaturing FFNet-40S
See all sample apps
Looking for more? See models created by industry leaders.
Discover Model Makers