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

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.

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

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

Test Example of CoreML

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

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

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

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

Core ML & Vison Demo

A CoreML model which classifies images of food

Predict handwritten digits with CoreML

Confoo 2018 - Add Machine Learning to your iOS 
App with Core ML

Confoo 2018 - Add Machine Learning to your iOS 
App with Core ML

Just build this simple app to check CoreML feature in MLTokyo Meetup

Este projeto iOS pretende implementar as tecnologias de CoreML para reconhecimento de objetos utilizando a câmera traseira de um iPhone. Ele já vem com um modelo dentro do projeto (94mb), mas permite que seja utilizado outro atualizável a partir da web.

Converts UIImage to PixelBuffer which is used as an input by CoreML for prediction.

Este projeto tem por base gerar modelos CoreML para classificação de objetos através da câmera de dispositivos iOS em português.