Largest list of models for Core ML (for iOS 11+)
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README.md

Awesome Core ML Models

Since iOS 11, Apple released Core ML framework to help developers integrate machine learning models into applications. The official documentation

We've put up the largest collection of machine learning models in Core ML format, to help iOS, macOS, tvOS, and watchOS developers experiment with machine learning techniques. We've created a site with better visualization of the models CoreML.Store, and are working on more advance features.

If you've converted a Core ML model, feel free to submit an issue.

Recently, we've included visualization tools. And here's one Netron.

Awesome PRs Welcome

Models

New Models

Models that are recently added.

DocumentClassification
Classify news articles into 1 of 5 categories.
Download | Demo | Reference

Image Processing

Models that takes image data as input and output useful information about the image.

MobileNet
The network from the paper 'MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications', trained on the ImageNet dataset.
Download | Demo | Reference
GoogLeNetPlaces
Detects the scene of an image from 205 categories such as airport, bedroom, forest, coast etc.
Download | Demo | Reference
Inceptionv3
Detects the dominant objects present in an image from a set of 1000 categories such as trees, animals, food, vehicles, person etc. The top-5 error from the original publication is 5.6%.
Download | Demo | Reference
Resnet50
Detects the dominant objects present in an image from a set of 1000 categories such as trees, animals, food, vehicles, person etc. The top-5 error from the original publication is 7.8%.
Download | Demo | Reference
VGG16
Detects the dominant objects present in an image from a set of 1000 categories such as trees, animals, food, vehicles, person etc. The top-5 error from the original publication is 7.4%.
Download | Demo | Reference
CarRecognition
Predict the brand & model of a car.
Download | Demo | Reference
TinyYOLO
The Tiny YOLO network from the paper 'YOLO9000: Better, Faster, Stronger' (2016), arXiv:1612.08242
Download | Demo | Reference
AgeNet
Age Classification using Convolutional Neural Networks
Download | Demo | Reference
GenderNet
Gender Classification using Convolutional Neural Networks
Download | Demo | Reference
MNIST
Predicts a handwritten digit.
Download | Demo | Reference
CNNEmotions
Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns
Download | Demo | Reference
VisualSentimentCNN
Fine-tuning CNNs for Visual Sentiment Prediction
Download | Demo | Reference
Food101
This model takes a picture of a food and predicts its name
Download | Demo | Reference
Oxford102
Classifying images in the Oxford 102 flower dataset with CNNs
Download | Demo | Reference
FlickrStyle
Finetuning CaffeNet on Flickr Style
Download | Demo | Reference
RN1015k500
Predict the location where a picture was taken.
Download | Demo | Reference
Nudity
Classifies an image either as NSFW (nude) or SFW (not nude)
Download | Demo | Reference

Style Transfer

Models that transform image to specific style.

HED_so
Holistically-Nested Edge Detection. Side outputs
Download | Demo | Reference
FNS-Candy
Feedforward style transfer https://github.com/jcjohnson/fast-neural-style
Download | Demo | Reference
FNS-Feathers
Feedforward style transfer https://github.com/jcjohnson/fast-neural-style
Download | Demo | Reference
FNS-La-Muse
Feedforward style transfer https://github.com/jcjohnson/fast-neural-style
Download | Demo | Reference
FNS-The-Scream
Feedforward style transfer https://github.com/jcjohnson/fast-neural-style
Download | Demo | Reference
FNS-Udnie
Feedforward style transfer https://github.com/jcjohnson/fast-neural-style
Download | Demo | Reference
FNS-Mosaic
Feedforward style transfer https://github.com/jcjohnson/fast-neural-style
Download | Demo | Reference
AnimeScale2x
Process a bicubic-scaled anime-style artwork
Download | Demo | Reference

Text Analysis

Models that takes text data as input and output useful information about the text.

SentimentPolarity
Sentiment polarity LinearSVC.
Download | Demo | Reference
DocumentClassification
Classify news articles into 1 of 5 categories.
Download | Demo | Reference
MessageClassifier
Detect whether a message is spam.
Download | Demo | Reference
NamesDT
Gender Classification using DecisionTreeClassifier
Download | Demo | Reference

Others

Exermote
Predicts the exercise, when iPhone is worn on right upper arm.
Download | Demo | Reference
GestureAI
GestureAI
Download | Demo | Reference

Visualization Tools

Tools that helps visualize CoreML Models

Supported formats

List of model formats that could be converted to Core ML with examples

The Gold

Collections of machine learning models that could be converted to Core ML

Individual machine learning models that could be converted to Core ML. We'll keep adjusting the list as they become converted.

  • LaMem Score the memorability of pictures.
  • ILGnet The aesthetic evaluation of images.
  • Colorization Automatic colorization using deep neural networks.
  • Illustration2Vec Estimating a set of tags and extracting semantic feature vectors from given illustrations.
  • CTPN Detecting text in natural image.
  • Image Analogy Find semantically-meaningful dense correspondences between two input images.
  • iLID Automatic spoken language identification.
  • Fashion Detection Cloth detection from images.
  • Saliency The prediction of salient areas in images has been traditionally addressed with hand-crafted features.
  • Face Detection Detect face from image.
  • mtcnn Joint Face Detection and Alignment.
  • deephorizon Single image horizon line estimation.

Contributing and License

  • See the guide
  • Distributed under the MIT license. See LICENSE for more information.