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 IoT chipset.
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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
License
Model:BSD-3-CLAUSE
Tags
- real-time
Supported IoT Devices
- Dragonwing IQ-9075 EVK
- Dragonwing IQ-X5121
- Dragonwing IQ-X7181
- Dragonwing Q-6690 MTP
- Dragonwing Q-7790
- Dragonwing Q-8750
- Dragonwing RB3 Gen 2 Vision Kit
- QCS8275 (Proxy)
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCM6690
- Qualcomm® QCS6490
- Qualcomm® QCS8275 (Proxy)
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075
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