A CoreML model which classifies images of food

Philipp Gabriel

Last update: Nov 17, 2022

Related tags

Core ML machine-learning food-classification convolutional-neural-networks machine-learning-models coreml coreml-framework coreml-models

Overview

Food101 for CoreML

Description

This is the Food101 dataset implemented in Apple's new framework called CoreML. The Food101 dataset can predict foods from images. The model was built with Keras 1.2.2 and is a fine-tuned InceptionV3 model.

To test this model you can open the Food101Prediction.xcodeproj and run it on your device (iOS 11 and Xcode 9 is required). To test further images just add them to the project and replace my testing with yours.

Obtaining the model

Download the model from Google Drive and drag it right into your project folder
Convert the model on your own:
1. Change directory: cd ./Convert
2. Change directory: sh convert.sh

More information

If you want to find out more how this model works and on which data it was trained on, feel free to visit the original Food101 Keras page on Github

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Comments

Can't Download the CoreML Model from Google Drive

I think the owner of the file has change the privacy setting to "not sharing with others". Would you please let us download the CoreML model?

opened by kr1s0404 1
Discrepancy in behavior between iPhone and iOS simulator

I'm trying to run your project on my iPhone (iPhone 11, iOS 13.7) but the app doesn't appear to show the Prediction text. A screenshot of my phone is below.

However, this issue doesn't seem to be the case when I run the project in an iPhone 11 simulator.

What might be the problem?

opened by MalharJ 0