swift-identification

Swift iOS CoreML Image Classifier

This app uses 4 top CoreML Machine Learning classifiers in parallel, to come up with labels for images:

• MobileNet (17.1 MB)
• ResNet50 (102.6 MB)
• Inception v3 (94.7 MB)
• VGG16 (553.5 MB)

All 4 of these models "[detect] the dominant objects present in an image from a set of 1000 categories such as trees, animals, food, vehicles, people, and more."

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

git clone https://github.com/hardingmatt/swift-identification.git

Screenshots

Prerequisites

First, you will need:

• XCode 9
• iOS device running iOS 11

Built With

• Apple CoreML -
• LoremPixel - Provides sample images

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

Authors

• Matt Harding - Github

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Final Thoughts

There’s no institution in the world that cannot be improved with machine learning.

-Jeff Bezos