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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

  • SA7255P ADP
  • SA8255 (Proxy)
  • SA8295P ADP
  • SA8650 (Proxy)
  • SA8775P ADP

Supported Automotive Chipsets

  • Qualcomm® SA7255P
  • Qualcomm® SA8255P (Proxy)
  • Qualcomm® SA8295P
  • Qualcomm® SA8650P (Proxy)
  • Qualcomm® SA8775P

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