Deploy a Core ML model to classify images in just 4 steps.
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Use this code pattern to train a custom machine learning model without any code, using Watson Visual Recognition. Test and export that model to be used in your iOS application with just a few clicks.
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Here’s how you can do it:
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One line
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Import and tag images
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two line
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Train, test and deploy a Watson Visual Recognition model for Core ML
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three line
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Run the application to classify image using the Core ML model on the device
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four line
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Get feedback from the user/device for iterative training in Watson
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See how we can help you get started with Core ML and Watson Visual Recognition to #BuildSmarter
 
Get coding
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