I trained an Image Classifier using CreateML and the dataset sans background.
I also built my own Image Classifier using Tensorflow but achieved higher accuracy with CreateML and thus used that instead. I do plan to refine my Image Classifier in the future and make ASLearn available on the App Store.
Actual Usage
ASLearn takes a picture of the user's hand gesture
The hand gesture is provided to DeepLabV3 and a result without a background is obtained.
The result is provided to ASL_Classifier (described in Step 3 of the Training Phase) and a prediction is received.
CoreML Helpers is an extremely useful open source library that greatly simplifies working with MLMultiArray and CVPixelBuffer. UIImage+Extensions.swift, UIImage+CVPixelBuffer.swift, MLMultiArray+Image.swift, Math.swift, CGImage+RawBytes.swift and CGImage+CVPixelBuffer.swift are part of CoreML Helpers.