How to learn vision
Asked on 10/03/2024
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To learn about vision-related technologies presented at Apple's WWDC, you can explore several sessions that focus on VisionOS and the Vision framework. Here are some key sessions and topics:
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Design great visionOS apps: This session discusses how to create immersive and comfortable apps for VisionOS, emphasizing the importance of finding a "key moment" in your app that is optimized for VisionOS. It also covers strategies for building spatial solutions. You can start with the Comfortable chapter to learn about designing apps that are easy to use and require minimal physical movement.
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Discover Swift enhancements in the Vision framework: This session introduces new Swift APIs for the Vision framework, making it easier to integrate computer vision capabilities into your apps. It covers topics like face detection, text recognition, and body pose tracking. You can start with the New Vision API chapter to learn about the latest enhancements.
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Explore machine learning on Apple platforms: This session highlights the Vision framework's capabilities for visual intelligence, including text extraction and face detection. It also introduces new APIs and Swift enhancements. You can start with the ML-powered APIs chapter to learn more about integrating machine learning into your apps.
These sessions provide a comprehensive overview of how to leverage vision technologies on Apple platforms, offering both high-level design principles and technical details for implementation.

Design great visionOS apps
Find out how to create compelling spatial computing apps by embracing immersion, designing for eyes and hands, and taking advantage of depth, scale, and space. We’ll share several examples of great visionOS apps and explore how their designers approached creating new experiences for the platform.

Platforms State of the Union 5-Minute Recap
Watch a quick recap of the newest advancements on Apple platforms.

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.