| --- |
| 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** ](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]** |
|  |
