DeepLabV3-Plus-MobileNet-Quantized
Quantized Deep Convolutional Neural Network model for semantic segmentation.
DeepLabV3 Quantized is designed for semantic segmentation at multiple scales, trained on various datasets. It uses MobileNet as a backbone.
Technical Details
Model checkpoint:VOC2012
Input resolution:513x513
Number of parameters:5.80M
Model size:6.04 MB
Number of output classes:21
Applicable Scenarios
- Anomaly Detection
- Inventory Management
Licenses
Source Model:MIT
Deployable Model:AI Model Hub License
Tags
- quantizedA “quantized” model can run in low or mixed precision, which can substantially reduce inference latency.
Supported Compute Chipsets
- Snapdragon® X Elite