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My CoreML ImageClassifier model was made using the facial-emotion-expressions dataset

  • [Model Prediction]

    • Input:
      • A Color Image (360 * 360)
    • Output:
      • Target Probability: Dictionary<String, Double>
        • [
            "happy": 0.4855561791349634,
            "surprise": 0.024084357400483238,
            "neutral": 0.21888420462997776,
            "sad": 0.19763450068444008,
            "disgust": 0.00016288822139744888,
            "fear": 0.022619370188337207,
            "angry": 0.05105849974040094
          ]
          
  • [Previews]

  • [Made Using]

  • [Requirements]

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

  • [Prediction Results] image/png

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