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
Model size:22.2 MB
Number of output classes:21
Applicable Scenarios
- Anomaly Detection
- Inventory Management
Licenses
Source Model:MIT
Deployable Model:AI Model Hub License
Supported Automotive Devices
- SA8255 (Proxy)
- SA8295P ADP
- SA8650 (Proxy)
- SA8775 (Proxy)
Supported Automotive Chipsets
- Qualcomm® SA8255P (Proxy)
- Qualcomm® SA8295P
- Qualcomm® SA8650P (Proxy)
- Qualcomm® SA8775P (Proxy)
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