DDRNet23-Slim
Segment images or video by class in real‑time on device.
DDRNet23Slim is a machine learning model that segments an image into semantic classes, specifically designed for road‑based scenes. It is designed for the application of self‑driving cars.
Not supported
This model is currently not supported on any IoT chipset.
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View for other chipsetsTechnical Details
Model checkpoint:DDRNet23s_imagenet.pth
Inference latency:RealTime
Input resolution:2048x1024
Number of output classes:19
Number of parameters:6.13M
Model size (float):21.7 MB
Model size (w8a8):6.11 MB
Applicable Scenarios
- Self-driving cars
License
Model:MIT
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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