Figure Eight Workflows Streamlines Multi-Step Automation for High-Quality AI Training Data

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A new press release states, “Figure Eight, an Appen company, today announced Workflows, a new feature that automates the creation of complex data annotation jobs at scale. Workflows makes it possible for non-technical users to create granular, plug-and-play, multi-step annotation projects, removing bottlenecks and lowering the cost of data annotation across the board. Workflows helps customers, including Society6, employ complex data-annotation tasks at scale to improve their business processes and customer experiences… Creating high-quality data sets often requires completing a complicated maze of multi-step annotation jobs, making it difficult and expensive for companies to navigate setting up annotation tasks. Multi-step annotation projects can develop problems like reliance on expensive, scarce technical resources, latencies, manual error and unpredictable costs.”

The release continues, “Society6 is home to hundreds of thousands of artists from around the globe. Artists upload more than 4,000 new creative assets every day, and Society6 must filter out low resolution images, as well as inappropriate or copyrighted material. Before turning to Figure Eight, Society6 would manually review its site every time it received a legal notice about any copyright or IP infringement. Workflows makes it easier to break down complex annotation jobs into simpler jobs and connect them dynamically. For Society6, Workflows automates the process of separating out creative uploads into review buckets. This helps Society6 prioritize the review of inappropriate artwork and remove these assets at a faster rate. Society6 is a great example of how Workflows can perform multiple types of annotation jobs in the same workflow on the same initial data set without human intervention, as opposed to running different independent jobs and manually processing the intermediary data.”

Read more at Business Wire.

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