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This app predicts the age of a person from the picture input using camera or photos gallery. The app uses Core ML framework of iOS for the predictions. The Vision library of CoreML is used here. The trained model fed to the system is AgeNet.

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Vision_CoreML-App

This app predicts the age of a person from the picture input using camera or photos gallery.
For this, the app uses Core ML framework of iOS. The Vision library of CoreML is also used here as the trained model takes image input.

Find a complete tutorial here.

The trained model fed to the system is AgeNet, which is a Age Classification model using Convolutional Neural Networks. This model takes a 277x277 image as input and predicts the age of the person and outputs the same.

Here is how the application would look like:

Demo


System Requirements:
1. MacOS (Sierra 10.12 or above)
2. Xcode 9 or above
3. Device with iOS 11 or above. Good news - The app can run on a simulator as well!

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This app predicts the age of a person from the picture input using camera or photos gallery. The app uses Core ML framework of iOS for the predictions. The Vision library of CoreML is used here. The trained model fed to the system is AgeNet.

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