Teach AI to Recognize a Mug and Spoon

The useful part

Teachable Machine is featured here for one specific job: train and test an image classifier using live webcam examples. This guide focuses on that workflow so you can decide whether it fits your task before trying it.

What happened in the demo

Teach it with Teachable Machine. For a classroom demo, make two classes: Mug and Spoon. Capture examples of each from different angles, then train your model. Now swap the objects and watch the prediction bars. Try an angle it hasn't seen. Confused? Add more varied examples and retrain. Training takes longer than this edit.

The example used in the reel

A small, specific input makes the result easier to inspect. Use the example below to understand the scope of the recorded workflow; it is not a promise that a new run will produce an identical result.

Fictional Oak Street Science Club activity: two classes named Mug and Spoon, using a plain mug and a metal spoon against the same uncluttered background. Capture about 50 webcam examples per class with varied angles and positions.

Try it yourself

1. Create two image classes for the mug and spoon
2. Collect examples and train the model
3. Try a new view of each object in the preview

Start with material you own or have permission to use. Save the original and compare it with the output before moving the result into a real project. If the interface has changed, follow the current official instructions linked below.

What to check before using the result

A small training set does not establish reliable recognition in different lighting or backgrounds.

Keep the task narrow on your first attempt. Check the details that matter to your use case rather than judging only whether the result looks polished. A successful short example is a useful introduction, not a benchmark of the whole product.

Access, free demos & limits

Official pages describe browser-based gathering, training and testing, on-device webcam processing and free model export or hosting. This guide focuses on local training and preview. A supported desktop browser and webcam permission are needed.

Availability notes refer to the dated demonstration or source check. Features, limits and sign-in requirements can change. Check the official site before starting a larger project.

Sources & context

• teachablemachine.withgoogle.com ↗Source checked 2026-10-25
• dev.teachablemachine.withgoogle.com ↗Source checked 2026-10-25
• teachablemachine.withgoogle.com/train ↗Source checked 2026-10-25

This guide expands the channel’s recorded example and the official sources checked for that reel. Generated results are examples, not endorsements or guarantees. Read our editorial policy.