Google Developers2.41 млн
Опубликовано 20 октября 2023, 15:00
Ready to add image classification capabilities to your web applications? Join Jen Person, a Senior Developer Advocate at Google, as she guides you through the process of using MediaPipe Solutions to categorize images and videos into different classes.
In this tutorial, you'll:
- Discover the MediaPipe Image Classifier task: Learn how this powerful tool can analyze images and videos to identify objects or scenes.
- Explore recommended models: Discover two top-rated models for image classification tailored to different use cases.
- Implement image classification in your web app: Follow a step-by-step guide to integrate image classification functionality using JavaScript.
Whether you're building a computer vision-powered app or simply want to add interactive elements to your website, this tutorial will provide you with the knowledge and tools to get started.
Resources:
View available image classification models → goo.gle/46vQ1bp
See all EfficientNet classification labels → goo.gle/3ZHnjC1
Create a custom image classifier → goo.gle/3F6t2YA
Learn more about WebAssembly → goo.gle/3tdEa3n
View the complete image classification code demo → goo.gle/3thpY9w
MediaPipe Solutions → goo.gle/MediaPipe_Solutions
Chapters:
0:00 - Introduction
0:38 - Recommended image classification models
2:10 - Concepts with noting
3:03 - Code
6:06 - Wrap up
Watch more episodes on Getting Started with MediaPipe for Web → goo.gle/MediaPipeforWeb
Subscribe to Google for Developers → goo.gle/developers
#google #ai #dev #googleai #machinelearning #developers #googlefordevelopers #mediapipe #imageclassification #imageclassifier #mediapipesolutions #computervisionprogramming
In this tutorial, you'll:
- Discover the MediaPipe Image Classifier task: Learn how this powerful tool can analyze images and videos to identify objects or scenes.
- Explore recommended models: Discover two top-rated models for image classification tailored to different use cases.
- Implement image classification in your web app: Follow a step-by-step guide to integrate image classification functionality using JavaScript.
Whether you're building a computer vision-powered app or simply want to add interactive elements to your website, this tutorial will provide you with the knowledge and tools to get started.
Resources:
View available image classification models → goo.gle/46vQ1bp
See all EfficientNet classification labels → goo.gle/3ZHnjC1
Create a custom image classifier → goo.gle/3F6t2YA
Learn more about WebAssembly → goo.gle/3tdEa3n
View the complete image classification code demo → goo.gle/3thpY9w
MediaPipe Solutions → goo.gle/MediaPipe_Solutions
Chapters:
0:00 - Introduction
0:38 - Recommended image classification models
2:10 - Concepts with noting
3:03 - Code
6:06 - Wrap up
Watch more episodes on Getting Started with MediaPipe for Web → goo.gle/MediaPipeforWeb
Subscribe to Google for Developers → goo.gle/developers
#google #ai #dev #googleai #machinelearning #developers #googlefordevelopers #mediapipe #imageclassification #imageclassifier #mediapipesolutions #computervisionprogramming
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