PSPNet
Deep learning model for pixel‑level semantic segmentation using pyramid pooling.
PSPNet (Pyramid Scene Parsing Network) is a semantic segmentation model that captures global context information by applying pyramid pooling modules. It is designed to improve scene understanding by aggregating contextual features at multiple scales.
Technical Details
Model checkpoint:pspnet101_ade20k.pth
Input resolution:1x3x473x473
Number of parameters:65.7M
Model size (float):251 MB
Applicable Scenarios
Licenses
Source Model:MIT
Deployable Model:AI-HUB-MODELS-LICENSE
Supported IoT Devices
- QCS8275 (Proxy)
- QCS8550 (Proxy)
- QCS9075 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS8275 (Proxy)
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075 (Proxy)
Looking for more? See models created by industry leaders.
Discover Model Makers








