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I think there is definitely space for improvement for 2 and 3, but then you would need to collect your own data. Are you a developer? We should talk if you're considering CoreML as we (Polarr) have ready to use, battle tested CoreML models for various computer vision purposes (email in my profile.)

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I have used both CoreML and MPSCNN in the past, the pain point is typically how to translate a cloud-based model to run directly on the phone. Caffe2 to CoreML is good so far, but issue is CoreML is a black box and crashes are often not decipherable. I'm looking more in a universal flow that can port models trained in TensorFlow or PyTorch and at the same time some way to debug intermediate results. Or better yet, if there are existing mobile models that can be used is best. Just reached out!

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