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.
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
Self-driving cars
Source Model: MIT
Deployable Model: AI-HUB-MODELS-LICENSE