Visual Blocks is a Google visual programming framework designed for machine learning (ML). It enables you to build ML pipelines using a no-code graph editor. With Visual Blocks, you and your users can rapidly prototype workflows by dragging and dropping various ML components, such as models, user inputs, processors, and visualisations, into a connected graph.
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What Can You Do with Visual Blocks?
Visual Blocks offer a powerful and flexible approach for building a wide range of applications, especially those leveraging machine learning. Here are some key areas where Visual Blocks excel:
Machine Learning Pipelines: Easily design and experiment with ML pipelines by connecting pre-built blocks for tasks like data processing, model training, and evaluation.
Multimedia Applications: Create interactive multimedia experiences with ease, incorporating features such as image and video processing and body language detection.
Real-Time Applications: Develop applications that respond to…
