https://github.com/kingreza/seefood

Inspired by HBO's Silicon Valley: SeeFood is an iOS app that uses CoreML to detect various dishes
https://github.com/kingreza/seefood

caffe coreml digits image-classification ios machine-learning swift4 xcode9

Last synced: about 1 month ago
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Inspired by HBO's Silicon Valley: SeeFood is an iOS app that uses CoreML to detect various dishes

• Host: GitHub
• URL: https://github.com/kingreza/seefood
• Owner: kingreza
• License: lgpl-3.0
• Created: 2017-07-25T20:14:52.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2017-08-05T20:30:13.000Z (over 7 years ago)
• Last Synced: 2024-09-29T22:03:31.684Z (about 1 month ago)
• Topics: caffe, coreml, digits, image-classification, ios, machine-learning, swift4, xcode9
• Language: Swift
• Homepage: http://www.reza.codes
• Size: 22.7 MB
• Stars: 447
• Watchers: 18
• Forks: 39
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# SeeFood

For a step by step guide on how to build SeeFood: **[How to train your own model for CoreML](http://reza.codes/2017-07-29/how-to-train-your-own-dataset-for-coreml/)**. 

![demo](seefood1.gif).      

[Video Demo](https://www.youtube.com/watch?v=cFwUl0DjpHA)

Follw me on [Twitter](https://twitter.com/kingreza)

## Prerequisites:  

Xcode 9 (currently Version 9.0 beta 3 (9M174d)).   

The trained CoreML data model which can be downloaded [here](https://d3rwn5lppri82t.cloudfront.net/coreml/food.mlmodel).     

An iOS device running iOS 11+.  

## Setup:

Import the data model downloaded from the link above and build. 

## Credit:

This model is a retrained [AlexNet](https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks) (Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton) Caffe model using [Food-101](https://www.vision.ee.ethz.ch/datasets_extra/food-101/) (Lukas Bossard, Matthieu Guillaumin, Luc Van Gool) dataset.