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.