Cat/Dog Classifier Activity

Resource type

Use type

Tools

Project name

Begin video walkthrough at 4:23 minutes - The walkthrough of this activity begins 4 minutes and 23 seconds into the video.

Activity Overview

This activity builds on the Thumbs-Up/Thumbs-Down Teachable Machine Activity to have students upload photos of cats and dogs to train Teachable Machine, and then test the algorithm with new data.

Total Activity Time:  15 minutes

Materials:

  • Cat training Dataset
  • Dog training Dataset
  • Test Dataset
  • Teachable Machine Activity #2 (printable worksheet)
  • Teachable Machine Activity #2 (Google Form)

Prep:

Follow instructions in Teachable Machines Tutorial

Options for Differentiation

  • Assign partners or small heterogeneous ability groups of 3-4 for all three “Teachable Machine” activities. Design groups so they can stay the same throughout all three lessons.
  • Form a small pull-out group to work closely with a teacher as they complete the activity together. This teacher can plan on reading all directions and walking the students each step of all three activities (Make sure this teacher is available for all three lessons).
  • Students with special needs for more content or more time can both benefit from taking extra time to explore each activity. For students who move through content quickly, give them a mini-project of creating an entirely new dataset to make a new classifier. For students who need more time, replace Activity 2 with a mini-project that repeats Activity 1 so they can explore other ways images they create might introduce algorithmic bias (without struggling with uploading image files to the website, which can be an unnecessary barrier).
  • Remind students that, if they finish early, they can continue to work on their “Explore AI Journal”, which students can work on as an ongoing project.
 
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