Guide for Image Classification Model with Marty the Robot
This guide explains how to import an image classification model from Teachable Machine and have Marty the Robot respond to predictions in MartyBlocks.
Users new to Teachable Machine should review the following videos to learn about how to create a classification model:
Go to the Teachable Machine website, select “Get Started,” and create an image project.
Follow the instructions from Teachable Machine to define your classes, collect image samples, and train your model.
In the preview panel, select “Export Model.”
In the dialog box that appears, confirm that “Upload (shareable link)” is chosen and select “Upload my model.”
It will take a few seconds to save your model, then copy the shareable link URL that is generated.
Open MartyBlocks and select the add extension icon in the lower left corner.
Select the “Teachable Machine Image & Sound” extension.
From the Teachable Machine menu, select the “image classification model URL” block and drag it into the workspace.
Paste your classification model URL from Teachable Machine into the block and execute the command to import the model.
Executing the “classify image” block will use your device's camera to start making predictions, and you may toggle classifications on and off using the “turn classification” block.
Once you have executed the command to import your classification model, the class labels will be available for selection in some blocks. There are a few ways to make predictions.
To see the value of the “image label” variable, check the box beside the variable in the Teachable Machine menu.
To see the video from your device’s camera, open the stage view by selecting the icon to the right of the stop icon.
The “turn video” block allows you to turn video on and off.
To make changes to the rate of classifications, use the “Label once every seconds” block
To make changes to the confidence threshold, use the “set confidence threshold” block. The default confidence threshold is 0.5 (i.e. 50%).