Explore the Action & Vision app

It's now easy to create an app for fitness or sports coaching that takes advantage of machine learning — and to prove it, we built our own. Learn how we designed the Action & Vision app using Object Detection and Action Classification in Create ML along with the new Body Pose Estimation, Trajectory Detection, and Contour Detection features in the Vision framework. Explore how you can create an immersive application for gameplay or training from setup to analysis and feedback. And follow along in Xcode with a full sample project. To get the most out of this session, you should have familiarity with the Vision framework and Create ML's Action Classifier tools. To learn more, we recommend watching “Build an Action Classifier with Create ML,” “Explore Computer Vision APIs,” and “Detect Body and Hand Pose with Vision.” We also recommend exploring the Action & Vision sample project to learn more about adopting these technologies. Whether you are building a fitness coaching app, or exploring new ways of interacting, consider the incredible features that you can build by combining machine learning with the rich set of computer vision features. By bringing Create ML, Core ML, and Vision API together, there's almost no end to the magic you can bring to your app.

Resources

• Building a Feature-Rich App for Sports Analysis
• Create ML
• Have a question? Ask with tag wwdc20-10099
• Sample video for Action & Vision app
• Search the forums for tag wwdc20-10099
• Vision
• • HD Video
  • SD Video

Related Videos

WWDC 2020

• Build an Action Classifier with Create ML
• Detect Body and Hand Pose with Vision
• Explore Computer Vision APIs
• Thursday@WWDC
• Wednesday@WWDC