Coreml

AR or augmented reality is one of the brightest and most fascinating technologies invented in the modern mobile engineering era. Augmented reality allows us to see seamlessly integrated computer-generated content, such as three-dimensional objects with the real world only using your mobile smartphone camera. This opens a lot of possibilities…

It’s Apple’s special framework that brings machine learning right to your fingertips. It allows you to integrate pre-trained machine learning models into your app. With Core ML, you can let your app identify objects in photos, translate languages, analyze emotions, and much more. I didn’t even get to the best…

I wanted to title this piece how to use Hand Pose in iOS since that’s the most popular application. However, you can also just copy and paste this code into a Playground and run it seamlessly on both iPad and Mac. Anyway, the code. Firstly, this project uses a lot…

As Large Language Models become ubiquitous, platform developers should start providing them as native services. What will this look like? — Tom: “Currently, his bank account is blowing up.” Jean-Ralphio: “I made my money the old-fashioned way: I got run over by a Lexus.” Tom: “I still can’t believe you won all that money in the lawsuit.” Sometimes it feels like we, as software developers, are sitting around a table as…

1. Prepare the Core ML Model: Obtain a pre-trained machine learning model in Core ML format (.mlmodel). You can find a variety of pre-trained models on platforms like Apple's Core ML Model Zoo (https://developer.apple.com/machine-learning/models/). Alternatively, you can create your own machine learning model using popular frameworks like TensorFlow or PyTorch…

Apple has already provided some great pre-trained machine learning models on their documentation for us to use. However, there are some cases when we have to create our own machine learning model to meet our requirements. This is when we can use CreateML to create our own machine learning model. …

Developed by Stability AI in collaboration with academic researchers and non-profit organizations, Stable Diffusion is a deep learning model that generates detailed images based on text descriptions or what so called text prompts. Additionally, it can also be utilized for tasks such as inpainting, outpainting, and generating image-to-image translations guided…

Have you ever wondered how machine learning can be used to recognize different types of flowers? In this tutorial, we will create an iOS app for the image classification of flowers using machine learning. We will use this pre-trained model created by jimgoo that was already trained with CNNs (Convolutional…

The field of machine learning is rapidly evolving, and one of the key challenges facing developers is the ability to efficiently create models that can run on a variety of hardware platforms. …