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

A CoreML model which classifies images of food

A simple demo for Core ML

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

Custom implementation of Apple Intelligence features

Tool for visual profiling Core ML models, compatible with both package and compiled versions, including reasons for unsupported operations on the Neural Engine

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

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.

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 di…

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.

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

Classifying Images with Vision, Core ML and SwiftUI

Augmented Reality Tetris made with ARKit and SceneKit

This project is simple iOS app using CoreML framework to predict object class on the photo

iOS App that guesses what you have drawn. It is created using SwiftUI interface and CoreML. Model is trained using Google's Quick Draw Dataset

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

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