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---
license: mit
pipeline_tag: image-classification
datasets:
- rokmr/pets
---
My first CoreML ImageClassifier model using the [pets dataset](https://huggingface.co/datasets/rokmr/pets)
- **[Model Prediction]**
- **Input**:
- A Color Image (360 * 360)
- **Output**:
- Target: String
- eg: "Cat"
- Target Probability: Dictionary<String, Double>
- ```json
{
"Cat" : 0.88,
"Rabbit" : 0.0,
"Dog" : 0.08
}
```
- **[Made Using]**
- Apple's [**CreateML** ![image/png](https://developer.apple.com/assets/elements/icons/create-ml/create-ml-96x96_2x.png)](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/PetsClassifierSwift/)
- **[Prediction Results]**
![image/png](https://cdn-uploads.huggingface.co/production/uploads/656968f81d7c2ca7b7b112c8/cvRhux2-fPQ0Bp_SUpK7d.png) |