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.
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This model is currently not supported on any IoT chipset.
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View for other chipsetsTechnical Details
Model checkpoint:ffnet78S_BCC_cityscapes_state_dict_quarts_pre_down
Input resolution:1024x512
Number of output classes:19
Number of parameters:26.8M
Model size (float):102 MB
Model size (w8a8):26.0 MB
Applicable Scenarios
- Automotive
- Autonomous Driving
- Camera
License
Model:BSD-3-CLAUSE
Tags
- real-time
Supported IoT Devices
- Dragonwing IQ-9075 EVK
- Dragonwing Q-6690 MTP
- 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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