How to Create Workflows in Encord

Alexandre Bonnet
May 10, 2023
5 min read
Back to blogs

Alexandre Bonnet, Solutions Engineer at Encord, walks through our latest feature: Workflows.

Workflows allow ML teams to build fully customizable and automated ML pipelines to improve the efficiency of creating high-quality training data.

Workflows are easy to create:

  • Step 1: Choose from the library of 6 components (Start, Annotate, Router, Review, Archive, Complete)
  • Step 2: Assign Annotators and Reviewers
  • Step 3: Create arbitrarily complex workflows
author-avatar-url
Written by Alexandre Bonnet
Alexandre Bonnet is a Machine Learning Solutions Engineer at Encord. He holds a Master's degree in Theoretical Physics from Imperial College and has previous industry experience in data engineering and data science. Alexandre has also been a member of Entrepreneur First's LD17 cohort as th... see more
View more posts
cta banner

Build better ML models with Encord

Get started today
cta banner

Discuss this blog on Slack

Join the Encord Developers community to discuss the latest in computer vision, machine learning, and data-centric AI

Join the community

Software To Help You Turn Your Data Into AI

Forget fragmented workflows, annotation tools, and Notebooks for building AI applications. Encord Data Engine accelerates every step of taking your model into production.