Case Study: Realeyes accelerates video attention and emotion analysis with Appen

The Appen Data Annotation Platform helps Realeyes label large volumes of data quickly with a culturally-diverse crowd

Realeyes, a leader in attention measurement and emotion analysis, needed a way to annotate and label large volumes of video data quickly while maintaining quality, security, and cultural relevance across global markets. As the company expanded, its small in-house team struggled to keep up with demand and to account for subtle differences in facial expressions and emotional reactions across cultures. To address this, Realeyes used Appen’s Data Annotation Platform to support its annotation workflow.

With Appen, Realeyes built customized contributor pools, used multi-step jobs and quality assurance controls, and paired annotators with footage from relevant markets to improve accuracy and consistency. The result was a major speed gain: tasks that once took three months in-house now take just two weeks, without sacrificing quality. Realeyes also benefited from automation and custom integrations with Appen, helping it run projects more efficiently and securely.

Realeyes

Or Amir

Vice President of Operations