This is the MNIST dataset implemented in Apple's new framework CoreML. The MNIST dataset can predict handwritten (drawn) digits from an image and outputs a prediction from 0-9. The model was built with Keras 1.2.2.
To test this model you can open the MNISTPrediction.xcodeproj and run it on your device (iOS 11 and Xcode 9 is required). To test further images just add them to the project and replace my testing with yours.
An example of a handdrawn digit would look like this:
Be aware that your images have to have a black background and white line color!
Furthermore your images resolution has to be 28x28px. If yours is bigger just use my UIImage rescaling extension I wrote. The line width has to be thick enough to be recognized as a digit.
This CNN model achieves up to 99.5% of accuracy and the structure is as follows: