DeepLabV3-Plus-MobileNet
Deep Convolutional Neural Network model for semantic segmentation.
DeepLabV3 is designed for semantic segmentation at multiple scales, trained on the various datasets. It uses MobileNet as a backbone.
Technical Details
Model checkpoint:VOC2012
Input resolution:513x513
Number of parameters:5.80M
Number of output classes:21
Model size (float):22.2 MB
Model size (w8a8):6.04 MB
Applicable Scenarios
- Anomaly Detection
- Inventory Management
Licenses
Source Model:MIT
Deployable Model:AI-HUB-MODELS-LICENSE
Supported Compute Devices
- Snapdragon X Elite CRD
- Snapdragon X Plus 8-Core CRD
Supported Compute Chipsets
- Snapdragon® X Elite
- Snapdragon® X Plus 8-Core
Related Models
See all models
Looking for more? See models created by industry leaders.
Discover Model Makers