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---
license: mit
pipeline_tag: image-classification
---
My CoreML ImageClassifier model was made using the [facial-emotion-expressions dataset](https://www.kaggle.com/datasets/samaneheslamifar/facial-emotion-expressions)
- **[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]**
- <table>
<tr>
<td>
<img src="https://media.giphy.com/media/4KeH3fQuu42CZqgh76/giphy.gif"/>
</td>
<td>
<img src="https://media.giphy.com/media/RGxWcdXBryryhXRriS/giphy.gif"/>
</td>
</tr>
</table>
- **[Made Using]**
- Apple's [**CreateML** ](https://developer.apple.com/documentation/createml/mlimageclassifier)
- **[Requirements]**
- macOS 14.0+
- iOS 17.0+
- tvOS 17.0+
- **[Sample Usage]**:
- [**GitHub**](https://github.com/c2p-cmd/FaceEmotionClassifierSwift/)
- **[Prediction Results]**
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