How to Create Workflows in Encord

Encord's new feature, Workflows, is designed to enhance machine learning (ML) teams' ability to create high-quality training data through fully customizable and automated pipelines. These workflows are user-friendly and consist of a library of six components—Start, Annotate, Router, Review, Archive, and Complete—that can be combined to form complex ML processes. Alexandre Bonnet, a Solutions Engineer at Encord, highlights the streamlined process of building these workflows by outlining steps that include selecting components from the library and assigning roles to annotators and reviewers, ultimately aiming to boost efficiency in ML training tasks.

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