Data labeling

An ongoing challenge faced by enterprises is optimizing large datasets. By adopting data labeling solutions, organizations can improve business processes, predict future trends, and improve overall efficiencies.

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Figure Eight

Figure Eight’s platform combines human intelligence at scale with models to create labeled data for machine learning (ML) projects. The platform enables customers to prepare, label, and categorize text, audio, video, or images, which help improve ML model accuracy with higher quality training data. Product and data science teams can then focus on improving models instead of managing, cleaning, and controlling data.

Figure Eight Data Labeling Platform features include:

  • General Data Protection Regulation (GDPR) compliance protects data globally
  • Redundancy applied to data rows for accurate training data
  • Active testing of labelers before and during data tasks
  • Direct and customizable control of full workflows
  • Distributed human intelligence increases speed and accuracy of data labeling

How it works

Additional resources from Figure Eight

eBay

To accurately categorize millions of products, eBay needed an efficient method to find the unique 12- to 14-digit identifier often missing from posted product descriptions. Figure Eight’s platform distilled huge amounts of eBay product information into microtasks completed online by thousands of individuals collaborating globally. With Figure Eight managing the workflow and checking for data accuracy, eBay completed this task in record time and at low cost.

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As more and more projects with Figure Eight graduate to production, different groups (engineering, product management, quality engineering) across the organization are seeing the benefits of data enrichment and are keen on embracing this new paradigm.

Ram Rampalli, Product Management Team for the Selling and Catalogs Group, eBay

AWS Marketplace

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We're here to help you get started with AWS Marketplace. Ask for or give advice on the AWS Marketplace discussion forum.