Autodistill uses big, slower foundation models to train small, faster supervised models. Using autodistill, you can go from unlabeled images to inference on a custom model running at the edge with no human intervention in between. You can use Autodistill on your own hardware, or use the Roboflow hosted version of Autodistill to label images in the cloud.

Features

  • Pluggable interface to connect models together
  • Documentation available
  • Automatically label datasets
  • Train fast supervised models
  • Own your model
  • Examples included
  • Deploy distilled models to the cloud or the edge

Project Samples

Autodistill Screenshot 1 Autodistill Screenshot 2

Project Activity

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Categories

Machine Learning, LLM Inference

License

Apache License V2.0

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Machine Learning Software, Python LLM Inference Tool

Registered

2024-08-14
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