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Inception-v3-Quantized

Quantized Imagenet classifier and general purpose backbone.

InceptionNetV3 is a machine learning model that can classify images from the Imagenet dataset. It can also be used as a backbone in building more complex models for specific use cases. This model is post‑training quantized to int8 using samples from Google's open images dataset.

Technical Details

Model checkpoint:Imagenet
Input resolution:224x224
Number of parameters:23.9M
Model size:23.3 MB

Applicable Scenarios

  • Medical Imaging
  • Anomaly Detection
  • Inventory Management

Licenses

Source Model:BSD-3-CLAUSE
Deployable Model:AI Model Hub License

Tags

  • backbone
  • quantized

Supported Compute Devices

  • Snapdragon X Elite CRD
  • Snapdragon X Plus 8-Core CRD

Supported Compute Chipsets

  • Snapdragon® X Elite
  • Snapdragon® X Plus 8-Core

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