Active Learning Pipeline
An iterative process where the model itself chooses which images from your unlabeled pool are the most "complex" or "uncertain". The platform then passes this data to the annotator for labeling in a prioritized order.
AI-assisted workflows
Optimize dataset creation with intelligent pipelines and minimize manual labor with AI.
Autodistill – automated data labeling
Used to automatically generate annotations so you don't have to manually mark up thousands of images.
// Why Autodistill at Keylabs- Speed: Ability to get a ready dataset many times faster.
- Efficiency: Creating your own model that works faster and cheaper in real time.
Other powerful solutions
Human-in-the-Loop
An essential component for businesses where accuracy is a priority. The model does the main work, and a human serves as an expert arbiter, checking, editing, or confirming the results.
Choose your path
The industrial scale
Automate the markup of millions of objects with Autodistill in a matter of hours.
Optimize scaleThe accuracy first
Implement the best segmentation tools and Human-in-the-Loop processes for projects where errors are costly (medicine, security).
Ensure precisionThe budget optimizer
Use Active Learning to label only the most complex data, saving you significant budget.
Reduce costsThe custom bridge
Integrate your own proprietary models into our pipeline.
Integrate AIReady to build a faster labeling pipeline?
Book a demo and we'll match the right AI-assisted pipeline to your data.
Custom solution? hello@keylabs.ai
