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

📚Curated list of articles, web-resources, tutorials and code repositories that may help you dig a little bit deeper into iOS [and Apple Platforms].

Collection of models for Core ML

Discover, download, compile & launch different image processing & style transfer CoreML models on iOS.

A CoreML model which classifies images of food

🦁 A central GitHub repository for sharing Core ML models

A simple demo for Core ML

Predict handwritten digits with CoreML

A camera object recognition demo using the CoreML & AVCam framework. Required XCode 9 & iOS 11.

Real-time Mobile Car Pose Estimation with CoreML

Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.

The better way to deal with MNIST model and Core ML in iOS

A simple image classification test using Core ML and Inception V3 model in Objective-C

This project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several different types of objects in the image. The detections are described by bounding boxes, and for each bounding box, the model also predicts a class.

This app predicts the age of a person from the picture input using camera or photos gallery. The app uses Core ML framework of iOS for the predictions. The Vision library of CoreML is used here. The trained model fed to the system is AgeNet.

Sample app that predicts the flower type on an image, using Core ML and the Oxford 102 category flower dataset.

A simple iOS app to demonstrate Machine Learning capabilities using Core ML and Vision framework.

Image recognition iOS app with Apple’s CoreML and Vision APIs

An app which recognises handwritten English characters using Vision/CoreML and a trained model using CreateML

Core ML and Vision object classifier with a lightweight trained model. The model is trained and tested with Create ML straight from Xcode Playgrounds with the dataset I provided.

Augmented Reality Tetris made with ARKit and SceneKit

An app that uses CoreML and SqueezeNet to take a picture and tell what the object it thinks is in the picture!

[Capstone Design 2] Team Capstone Design Project. (Prof. 고석주)

Sample application to test the new CoreML framework on iOS 11, using the inception v3 model.

Core ML & Vison Demo

A test project with the CreateML and CoreML to identify if the person in given photos is Clarence.

A simple image classification test using Core ML and Inception V3 model

iOS Application that recognizes handwritten digits using CoreML module