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Sample app that predicts the flower type on an image, using Core ML and the Oxford 102 category flower dataset.

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​ CoreML-Flowers

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About

Sample app that predicts the flower type on an image, using Core ML and the Oxford 102 category flower dataset.

Requirements

  • iOS 11.0+
  • Xcode 9.0+
  • Swift 3.0+

Usage

You'll need to produce the .mlmodel in order to use the app.

Download the .caffemodel (~230Mb) here, move it into the conversion folder, and run the script as follows:

$ python FlowerModeltoCoreML.py

Drag the FlowerClassifier.mlmodel into the Xcode project and you can run it!

License

Available under the MIT license. See the LICENSE file for more info.

About

Sample app that predicts the flower type on an image, using Core ML and the Oxford 102 category flower dataset.

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