Label all sensors in a single interface for increased speed and accuracy
Segmentation, Cuboids, Keypoints, Polygons and Polylines
Segmentation, Bounding boxes, Polygons, Polylines and Keypoints
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.
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.
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.
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.
We invest a lot of time into making our documentation crystal-clear. You’ll be able to find the information you need in minutes.
You can upload data sets, download labels, and so much more in a simple, user-friendly way.
Easily sync your with AWS, Azure, or Google Cloud data with the Segments.ai platform.
We’ve got support for PyTorch, TensorFlow, and Hugging Face 🤗, so you’ll never lose time converting between frameworks.
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.
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