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My first CoreML ImageClassifier model using the pets dataset

  • [Model Prediction]

    • Input:
      • A Color Image (360 * 360)
    • Output:
      • Target: String
        • eg: "Cat"
      • Target Probability: Dictionary<String, Double>
        • {
            "Cat" : 0.88,
            "Rabbit" : 0.0,
            "Dog" : 0.08
          }
          
  • [Made Using]

  • [Requirements]

    • macOS 14.0+
    • iOS 17.0+
    • tvOS 17.0+
  • [Sample Usage]:

  • [Prediction Results] image/png

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Inference Examples
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Dataset used to train c2p-cmd/PetsImageClassifier