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FCN-ResNet50-Quantized

Quantized fully-convolutional network model for image segmentation.

FCN_ResNet50 is a quantized machine learning model that can segment images from the COCO dataset. It uses ResNet50 as a backbone.

10.0ms
Inference Time
0-79MB
Memory Usage
87NPU
Layers

Technical Details

Model checkpoint:COCO_WITH_VOC_LABELS_V1
Input resolution:512x512
Number of parameters:33.0M
Model size:32.2 MB

Applicable Scenarios

  • Anomaly Detection
  • Inventory Management

Supported Mobile Form Factors

  • Phone
  • Tablet

Licenses

Source Model:BSD-3-CLAUSE
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 Mobile Devices

  • Google Pixel 3
  • Google Pixel 3a
  • Google Pixel 3a XL
  • Google Pixel 4
  • Google Pixel 4a
  • Google Pixel 5a 5G
  • Samsung Galaxy S21
  • Samsung Galaxy S21 Ultra
  • Samsung Galaxy S21+
  • Samsung Galaxy S22 5G
  • Samsung Galaxy S22 Ultra 5G
  • Samsung Galaxy S22+ 5G
  • Samsung Galaxy S23
  • Samsung Galaxy S23 Ultra
  • Samsung Galaxy S23+
  • Samsung Galaxy S24
  • Samsung Galaxy S24 Ultra
  • Samsung Galaxy S24+
  • Samsung Galaxy Tab S8
  • Xiaomi 12
  • Xiaomi 12 Pro

Supported Mobile Chipsets

  • Snapdragon® 8 Gen 1 Mobile
  • Snapdragon® 8 Gen 2 Mobile
  • Snapdragon® 8 Gen 3 Mobile
  • Snapdragon® 888 Mobile