Teachable Machine

What it is

Teachable Machine is a user-friendly platform that allows users to train machine learning models without coding. It supports image, sound, and pose recognition, making it accessible for developers and non-developers alike.

Teachable Machine stands out as one of the most accessible platforms for training machine learning models, requiring no coding knowledge. It is ideal for educational purposes and rapid prototyping.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited model customization and fine-tuning options

   Teachable Machine offers a simplified interface which restricts advanced users from making detailed adjustments to the machine learning models.

2. 02

   Small community and limited third-party integrations

   The platform has fewer user contributions and plugins compared to more established ML platforms like TensorFlow or PyTorch.

3. 03

   Performance limitations for complex models

   Teachable Machine is optimized for simplicity and ease of use, which can result in suboptimal performance when dealing with large datasets or more complex machine learning tasks.

4. 04

   Vendor lock-in due to proprietary nature

   Models trained on Teachable Machine may not be easily transferable to other platforms, leading to dependency on Google's ecosystem for further development and deployment.

What it does well

• No coding required for model training

• Supports image, sound, and pose recognition

• User-friendly interface for data collection and model deployment

Pricing

Free tier

Yes

Paid from

—

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.