No more endless back-and-forth between you and your labeling provider.
You upload your unlabeled training dataset and enter basic information about your use case and what you are trying to accomplish in an interactive template designed by labeling experts.
Alectio uses anomaly detection and Machine Learning to identify a sample of data containing both representative data and critical corner cases. You can select more data or upload additional records if need be.
You annotate the sample data with “Dos” and “Don’ts” that illustrate what you would consider correct labels, and what you wouldn’t accept. An algorithm measures the strength of your instructions so that you know when you’re good to go.
Alectio uses your own annotations and feedback to generate a standardized labeling instructions file which you can either use when sending data to the Alectio labeling marketplace, or that you can download to reuse elsewhere.
You communicate your expectations to the labeling partner in an efficient and fun way. You reduce by more than 70% the likelihood the annotators have questions about how you want things done. You get your data annotated properly in one shot and stop wasting time project-managing your labeling task.