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maker mission

Colour Detector in Google Teachable Machine

In this project, you’ll create a colour detection model using Google Teachable Machine. The goal is to teach
your machine to recognise and classify different colours using a camera. This model can be used in various
applications like recognising objects based on their colour, sorting items or even helping robots identify the
colour of things in their environment.
To create a colour detection model using Google Teachable Machine follow the given steps:

STEP - 1 Select the Image Project option on Google Teachable Machine.

STEP - 2 Gather images of colours you want to teach the model. Use
a variety of shades for accuracy. Ensure good lighting when
capturing each colour image.

STEP - 3 Upload images to Google Teachable Machine and label them
based on their respective colours.

STEP - 4 Train your model. Google Teachable Machine will process the
images and learn to recognise the differences between the
colours based on the data you’ve provided.

STEP - 5 Test your model with live input. Hold up coloured objects in front
of the camera and check if the model can correctly identify
the colour.

STEP - 6 If the model works as expected, export the trained model for use
in different applications, such as on a robot or a colour sorting
system.

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