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Teachable Machine
In this video, we're going to discuss how to create an Image Dataset using Google Teachable Machine. The Google Teachable Machine is an online open-source environment that is used to develop and train machine learning and deep learning supervised models without using any programming language. Here, we'll see the step-by-step process to do the same. So, let's get started now.
Check out the Related Links:
Google Teachable Machine [https://teachablemachine.withgoogle.com/]
Image Classification using Googleβs Teachable Machine [https://www.geeksforgeeks.org/image-classification-using-googles-teachable-machine/]
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This video is contributed by Akshit Madan.
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What to know
Key features
- No-code machine learning interface
- Image classification training
- Audio sound classification
- Pose estimation and recognition
- Real-time model testing and validation
- Exportable models for TensorFlow.js
Best for
- Introducing ML concepts in classrooms
- Rapid prototyping for interactive art
- Creating gesture-controlled web applications
- Building simple sound-triggered events
Pros
- Extremely accessible for non-programmers
- Instant feedback during training
- Completely free to use
Cons
- Limited to basic classification tasks
- Requires browser-based hardware access
- Not suitable for high-complexity industrial models
Teachable Machine FAQ
What is Teachable Machine used for?
Is Teachable Machine free?
How do I compare Teachable Machine with alternatives?
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