Integrate multi-sensor labeling into your
existing ML pipeline

  • Programmatically manage your data with a Python SDK
  • Connect your cloud storage provider (AWS, Google Cloud, Azure)
  • Export to popular ML frameworks (PyTorch, TensorFlow, Hugging Face 🤗)

Make the development experience smoother

Take advantage of Segments.ai’s robust labeling platform, directly in your existing ML pipeline. The Python SDK lets you add top-tier labeling tech to your workflow.

Restful endpoints

Keep data management simple

The Python SDK is a light wrapper around our public API which communicates with the Segments.ai backend. We chose a REST API design so we could build an intuitive developer experience.

Data validation

Keep your code clean

The Python SDK uses type hints and Pydantic classes in the backend to help improve data quality. It will automatically validate your data as you go and will auto-complete code in your code editor.

Error handling

Quickly resolve issues with timely error notifications

If you want to handle errors efficiently, you need to know where they are and when they occur. Segments.ai uses exceptions to define problems in your program and solve them quickly.

CLEAN DOCUMENTATION

Answer questions faster

We invest a lot of time into making our documentation crystal-clear. You’ll be able to find the information you need in minutes.

Manage datasets programmatically

You can upload data sets, download labels, and so much more in a simple, user-friendly way.

Connect to your cloud provider

Easily sync your with AWS, Azure, or Google Cloud data with the Segments.ai platform.

Export to popular machine learning frameworks

We’ve got support for PyTorch, TensorFlow, and Hugging Face 🤗, so you’ll never lose time converting between frameworks.

Simplify multi-sensor labeling

Say hello to faster labeling, better quality data, and more time for your engineering team.
You’ve got access to a 14-day free trial to test it for yourself.