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.
If you’ve converted a Core ML model, feel free to submit a pull request .
Recently, we’ve included visualization tools. And here’s one Netron.
Models that take image data as input and output useful information about the image.
TextDetection - Detecting text using Vision built-in model in real-time. Download | Demo | Reference |
PhotoAssessment - Photo Assessment using Core ML and Metal. Download | Demo | Reference |
PoseEstimation - Estimating human pose from a picture for mobile. Download | Demo | Reference |
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 |
RN1015k500 - Predict the location where a picture was taken. Download | Demo | Reference |
TextRecognition (ML Kit) - Recognizing text using ML Kit built-in model in real-time. Download | Demo | Reference |
ImageSegmentation - Segment the pixels of a camera frame or image into a predefined set of classes. Download | Demo | Reference |
DepthPrediction - Predict the depth from a single image. Download | Demo | Reference |
Models that transform images.
HED - Detect nested edges from a color image. Download | Demo | Reference |
AnimeScale2x - Process a bicubic-scaled anime-style artwork Download | Demo | Reference |
Models that process text data
Sentiment Polarity - Predict positive or negative sentiments from sentences. Download | Demo | Reference |
DocumentClassification - Classify news articles into 1 of 5 categories. Download | Demo | Reference |
iMessage Spam Detection - Detect whether a message is spam. Download | Demo | Reference |
NamesDT - Gender Classification using DecisionTreeClassifier Download | Demo | Reference |
Personality Detection - Predict personality based on user documents (sentences). Download | Demo | Reference |
BERT for Question answering - Swift Core ML 3 implementation of BERT for Question answering Download | Demo | Reference |
Exermote - Predicts the exercise, when iPhone is worn on right upper arm. Download | Demo | Reference |
GestureAI - Recommend an artist based on given location and genre. Download | Demo | Reference |
Artists Recommendation - Recommend an artist based on given location and genre. Download | Demo | Reference |
ChordSuggester - Predicts the most likely next chord based on the entered Chord Progression. Download | Demo | Reference |
Tools that help visualize CoreML Models
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
Individual machine learning models that could be converted to Core ML. We’ll keep adjusting the list as they become converted.