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Largest list of models for Core ML (for iOS 11+)
📚 Curated list of articles, tutorials and repos 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 simple demo for Core ML
Predict handwritten digits with CoreML
Real-time Mobile Car Pose Estimation with CoreML
A camera object recognition demo using the CoreML & AVCam framework. Required XCode 9 & iOS 11.
Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
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
A simple image classification test using Core ML and Inception V3 model in Objective-C
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.
A simple iOS app to demonstrate Machine Learning capabilities using Core ML and Vision framework.
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.