Create ML
Experience an entirely new way of training machine learning models on your Mac. Create ML takes the complexity out of model training while producing powerful Core ML models.
Discover Create ML features
Multimodel training
Train multiple models using different datasets, all in a single project.
Training control
Pause, save, resume, and extend your training process.
eGPU training support
Use an external graphics processing unit with your Mac for even better model training performance.
On-device training
Train models blazingly fast right on your Mac while taking advantage of CPU and GPU.
Model previews
Preview your model performance using Continuity with your iPhone camera and microphone on your Mac, or drop in sample data.
Visual evaluation New
Interactively learn how your model performs on test data from your evaluation set. Explore key metrics and their connections to specific examples to help identify challenging use cases, further investments in data collection and opportunities to help improve model quality.
Model types
Create ML has a variety of model types to choose from. Just select a model type in the app and add your data and parameters to start training.
Image
Image classification
Object detection
Hand pose classification
Style transfer
Video
Action classification
Hand action classification
Style transfer
Motion
Activity classification
Sound
Sound classification
Text
Text classification
Word tagging
Tabular
Tabular classification
Tabular regression
Recommendation
Create ML framework
The power of Create ML is also available as a Swift framework on iOS, iPadOS, tvOS, and macOS. Programmatically experiment and automate model creation in Swift scripts or playgrounds. Build dynamic app features that leverage Create ML APIs to train models directly from user input or on-device behavior, providing personalized and adaptive experiences while preserving user privacy.
Create ML Components New
In addition to leveraging task-specific APIs in Create ML, you can now design your own custom estimation pipeline using the rich set of underlying components in Create ML.
