Model-based pre-annotation
Pre-annotation can help speed up the labeling process for various use cases and tasks.
You can use machine learning to speed up your Kili annotation project by:
- Importing labels
- Implementing active learning strategies with queue prioritization
Additionally, as a standard Kili feature, you can:
- Use Chat GPT to pre-label text assets for you (Text projects with classification jobs)
- Use the Segment Anything Model (SAM) to speed up and enhance the quality on semantic segmentation tasks (images only)
Learn more
For an end-to-end example of how to programmatically import model-based pre-annotations to a Kili project using Kili's Python SDK, refer to our tutorial on importing labels.
Updated 9 months ago