Teachable Machine

9.8(420)

1980 upvotesFree

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 Google’s Teachable Machine [https://www.geeksforgeeks.org/image-classification-using-googles-teachable-machine/]

Apply For Video Internship Program - https://script.geeksforgeeks.org/on-boarding/youtube

Our courses: https://practice.geeksforgeeks.org/courses/

This video is contributed by Akshit Madan.

Please Like, Comment, and Share the Video with your friends.

#machinelearning #projects #google #imageclassification #dataset #kaggle #deeplearning

Install our Android App:

https://play.google.com/store/apps/details?id=free.programming.programming&hl=en

If you wish, translate into the local language and help us reach millions of other geeks:

http://www.youtube.com/timedtext_cs_panel?c=UC0RhatS1pyxInC00YKjjBqQ&tab=2

Twitter- https://twitter.com/geeksforgeeks

LinkedIn- https://www.linkedin.com/company/geeksforgeeks

Facebook- https://www.facebook.com/geeksforgeeks.org

Instagram- https://www.instagram.com/geeks_for_geeks/?hl=en

Reddit- https://www.reddit.com/user/geeksforgeeks

Telegram- https://t.me/s/geeksforgeeks_official

Also, Subscribe if you haven't already! :)

Tool Snapshot

Train AI models easily: no code, instant feedback, multiple data types.

Pricing

Free

Primary category

education

Publisher

Google

Verification

Community listing

What To Know About Teachable Machine

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

Published by Google

education ai detection low-code/no-code

Teachable Machine FAQ

What is Teachable Machine used for?

Teachable Machine is commonly used for Introducing ML concepts in classrooms, Rapid prototyping for interactive art, Creating gesture-controlled web applications.