what is createml
Asked on 03/21/2025
1 search
Create ML is a tool within Apple's ecosystem designed to help developers build and deploy machine learning models in their apps. It consists of the CreateML app and underlying frameworks, allowing users to train models with ease. The CreateML app provides templates for various tasks such as image classification, object detection, and more, making it accessible for those new to machine learning. It leverages system domain frameworks like Vision, Natural Language, and Sound Analysis to customize models with your training data. The output is a model that can be deployed into your app.
Recent updates to Create ML include enhancements to the app, a new object tracking feature for spatial computing experiences, and new components for time series forecasting and classification. These updates aim to simplify the process of integrating machine learning into apps across Apple's operating systems.
For more detailed information, you can refer to the session What’s new in Create ML (00:00:51).

Explore machine learning on Apple platforms
Get started with an overview of machine learning frameworks on Apple platforms. Whether you’re implementing your first ML model, or an ML expert, we’ll offer guidance to help you select the right framework for your app’s needs.

What’s new in Create ML
Explore updates to Create ML, including interactive data source previews and a new template for building object tracking models for visionOS apps. We’ll also cover important framework improvements, including new time-series forecasting and classification APIs.

Bring your machine learning and AI models to Apple silicon
Learn how to optimize your machine learning and AI models to leverage the power of Apple silicon. Review model conversion workflows to prepare your models for on-device deployment. Understand model compression techniques that are compatible with Apple silicon, and at what stages in your model deployment workflow you can apply them. We’ll also explore the tradeoffs between storage size, latency, power usage and accuracy.