Semantic segmentation in higher resolution.
HRNet‑W48‑OCR is a machine learning model that can segment images from the Cityscape dataset. It has lightweight and hardware‑efficient operations and thus delivers significant speedup on diverse hardware platforms
Model checkpoint:hrnet_ocr_cs_8162_torch11.pth
Input resolution:2048x1024
Number of output classes:19
Number of parameters:70.3M
Model size (float):268 MB
Model size (w8a16):70.3 MB
Automotive
Autonomous Driving
Camera
Source Model: BSD-3-CLAUSE
Deployable Model: AI-HUB-MODELS-LICENSE