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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.

Model RepositoryHugging FaceResearch Paper

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

  • quantized
    A “quantized” model can run in low or mixed precision, which can substantially reduce inference latency.

Supported IoT Devices

  • QCS6490 (Proxy)
  • QCS8250 (Proxy)
  • QCS8550 (Proxy)
  • RB3 Gen 2 (Proxy)
  • RB5 (Proxy)

Supported IoT Chipsets

  • Qualcomm® QCS6490
  • Qualcomm® QCS8250
  • Qualcomm® QCS8550