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FFNet for Real-Time Semantic Segmentation

Lightweight semantic segmentation model optimized for real-time street scene analysis on edge devices.

$0.00
More Information
FFNet for Real-Time Semantic Segmentation
app details
Model Type

Semantic Segmentation

Framework

TensorFlow Lite

Algorithm

ResNet-like Backbone with Multi-Branch Decoder

Technical Details

FFNet-40S is a compact convolutional neural network designed for pixel-wise semantic segmentation of high-resolution images. It combines a ResNet-style encoder with a multi-branch decoder, enabling efficient processing on devices with limited compute resources. Ideal for smart city and autonomous driving scenarios.

Use Cases
Quality Control
Supported IoT Devices
AI optimized hardware Fanless embedded PCs Modules
supported chipsets
Intel® Core™ i3 Qualcomm® Dragonwing QCS6490 Qualcomm® Dragonwing QCS5430 NXP i.MX 8M Plus NXP i.MX 95
Performance Benchmark
Hardware
Latency (ms)
Memory Usage
Processing unit
SECO SOM-SMARC-QCS6490
1318 ms
12.38 MB
CPU
SECO SOM-SMARC-iMX8Plus
17167 ms
12.38 MB
CPU
SECO SOM-SMARC-MX95
3564 ms
12.38 MB
CPU
SECO Titan 300 TGL-UP3 AI LiteRT
365.21 ms
12.38 MB
CPU
SECO Titan 300 TGL-UP3 AI OpenVino
164.76 ms
12.38 MB
CPU
SECO SOM-SMARC-iMX8Plus
805.85 ms
12.38 MB
NPU

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