Image embedding - ML on Web with MediaPipe: Episode 12

Опубликовано 24 апреля 2024, 13:06

Ready to unlock the power of image embeddings with MediaPipe? Discover how the Image Embedder task can transform images into numerical representations, making it easier to perform various machine learning tasks.

Key takeaways:
- Understand the concept of image embeddings: Learn how images can be represented as numerical vectors for machine learning applications.
- Explore the MediaPipe Image Embedder task: Discover how this powerful tool can create high-dimensional embeddings from image data.
- Compare image similarity: Learn how to use image embeddings to measure the similarity between different images.

Whether you're building image search engines, recommendation systems, or other computer vision applications, this tutorial will provide you with the essential knowledge and skills.

Resources:
View available image embedding models → goo.gle/48e0lWD
Try out the image embedding model options in MediaPipe Studio → goo.gle/48AS92L
Learn more about WebAssembly → goo.gle/3tdEa3n
View the complete gesture recognition code demo → goo.gle/48spQDi
MediaPipe Solutions → goo.gle/MediaPipe_Solutions

Watch more Getting Started with MediaPipe for Web → goo.gle/MediaPipeforWeb
Subscribe to Google for Developers → goo.gle/developers

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Products Mentioned: MediaPipe