We've put up the largest collection of machine learning models that work with Apples Core ML standard, to help iOS developers experiment with machine learning techniques. If you've converted a Core ML model and feel free to submit a PR here.
Models that takes image data as input and output useful information about the image.
- MobileNet - Detects the dominant objects present in an image. Download | Demo | Reference
- Places CNN - Detects the scene of an image from 205 categories such as bedroom, forest, coast etc. Download | Demo | Reference
- Inception v3 - Detects the dominant objects present in an image. Download | Demo | Reference
- ResNet50 - Detects the dominant objects present in an image. Download | Demo | Reference
- VGG16 - Detects the dominant objects present in an image. Download | Demo | Reference
- Car Recognition - Predict the brand & model of a car. Download | Demo | Reference
- YOLO - Recognize what the objects are inside a given image and where they are in the image. Download | Demo | Reference
- AgeNet - Predict a person's age from one's portrait. Download | Demo | Reference
- GenderNet - Predict a person's gender from one's portrait. Download | Demo | Reference
- MNIST - Predict handwritten (drawn) digits from images. Download | Demo | Reference
- EmotionNet - Predict a person's emotion from one's portrait. Download | Demo | Reference
- SentimentVision - Predict positive or negative sentiments from images. Download | Demo | Reference
- Food101 - Predict the type of foods from images. Download | Demo | Reference
- Oxford102 - Detect the type of flowers from images. Download | Demo | Reference
- FlickrStyle - Detect the artistic style of images. Download | Demo | Reference
- LocationNet - Predict the location where a picture was taken. Download | Demo | Reference
Models that transform image data into other form of image data.
- HED - Output the nested edges of a color image. Download | Demo | Reference
- Candy - Transfer a color image into Candy style. Download | Demo | Reference
- Feathers - Transfer a color image into Feathers style. Download | Demo | Reference
- La Muse - Transfer a color image into La-muse style. Download | Demo | Reference
- The Scream - Transfer a color image into The-Scream style. Download | Demo | Reference
- Udnie - Transfer a color image into Udnie style. Download | Demo | Reference
- Mosaic - Transfer a color image into Mosaic style. Download | Demo | Reference
Models that takes text data as input and output useful information about the text.
- Sentiment Polarity - Predict positive or negative sentiments from sentences. Download | Demo | Reference
- iMessage Spam Detection - Detect whether a message is spam. Download | Demo | Reference
- Exermote - Predicts the type of exercise from movement data. Download | Demo | Reference
- Artists Recommendation - Recommend a artist based on given location and genre. Download | Demo | Reference
List of model formats that could be converted to Core ML with examples
Collections of machine learning models that could be converted to Core ML
- Caffe Model Zoo - Big list of models in Caffe format.
- TensorFlow Models - Models for TensorFlow.
- TensorFlow Slim Models - Another collection of TensorFlow Models.
- MXNet Model Zoo - Collection of MXNet models.
- See the guide
- Distributed under the MIT license. See LICENSE for more information.