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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
License
Apache License V2.0Follow Autodistill
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