HRNet-W48-OCR

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

Not supported

This model is currently not supported on any IoT chipset.

To see performance metrics for this model on other chipsets, click the button below.

View for other chipsets

Technical Details

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

Applicable Scenarios

  • Automotive
  • Autonomous Driving
  • Camera

License

Tags

  • real-time

Supported IoT Devices

  • Dragonwing IQ-9075 EVK
  • Dragonwing IQ-X5121
  • Dragonwing IQ-X7181
  • Dragonwing Q-8750
  • QCS8550 (Proxy)

Supported IoT Chipsets

  • Qualcomm® QCS8550 (Proxy)
  • Qualcomm® QCS9075

Related Models

See all models

Looking for more? See models created by industry leaders.

Discover Model Makers