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WWDC21 • Session 10039

Classify hand poses and actions with Create ML

Augmented Reality • iOS, macOS • 26:49

With Create ML, your app’s ability to understand the expressiveness of the human hand has never been easier. Discover how you can build off the support for Hand Pose Detection in Vision and train custom Hand Pose and Hand Action classifiers using the Create ML app and framework. Learn how simple it is to collect data, train a model, and integrate it with Vision, Camera, and ARKit to create a fun, entertaining app experience. To learn more about Create ML and related concepts around model training, check out “Build an Action Classifier with Create ML” from WWDC20. And don’t miss “Build dynamic iOS apps with the Create ML framework” to learn how your models can be trained on-the-fly and on device from within your app.

Speakers: Nathan Wertman, Brittany Weinert, Geppy Parziale

Open in Apple Developer site