7 dos and don'ts of using ML on the web with MediaPipe- Google Developers Blog

What this post added

This post provides seven dos and don'ts for web developers using MediaPipe Solutions for machine learning. Key recommendations include not bundling ML models within the app but storing them in cloud storage and caching them locally, initializing tasks early to hide processing from the user, cleaning up WebAssembly resources using the .close() method, utilizing MediaPipe Studio for testing and customization, testing on different devices, and avoiding defaulting to the largest model, prioritizing speed and size based on use case.