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README.md
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---
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license: mit
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---
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---
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license: mit
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pipeline_tag: image-classification
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---
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My CoreML ImageClassifier model was made using the [facial-emotion-expressions dataset](https://www.kaggle.com/datasets/samaneheslamifar/facial-emotion-expressions)
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- **[Model Prediction]**
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- **Input**:
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- A Color Image (360 * 360)
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- **Output**:
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- Target Probability: Dictionary<String, Double>
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- ```
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[
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"happy": 0.4855561791349634,
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"surprise": 0.024084357400483238,
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"neutral": 0.21888420462997776,
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"sad": 0.19763450068444008,
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"disgust": 0.00016288822139744888,
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"fear": 0.022619370188337207,
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"angry": 0.05105849974040094
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]
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```
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- **[Made Using]**
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- Apple's [**CreateML** ](https://developer.apple.com/documentation/createml/mlimageclassifier)
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- **[Requirements]**
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- macOS 14.0+
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- iOS 17.0+
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- tvOS 17.0+
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- **[Sample Usage]**:
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- [**GitHub**](https://github.com/c2p-cmd/FaceEmotionClassifierSwift/)
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- **[Prediction Results]**
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