Data-Centric Computer Vision

Approaches, Applications, and Best Practices using the Appen Data Annotation Platform

Human vision systems have the advantage of learning from a lifetime of experiences how to contextualize the things we see. Machine learning models, on the other hand, usually need a substantial number of real-world scenarios to learn from to be able to product reliable computer vision (CV) outputs. These examples may come in many forms:

  • 2D images and video (taken from an SLR or infrared camera)
  • 3-D images and video (taken from a camera or scanner)
  • Sensor data (taken from RADAR or LiDAR technology).
  • Sometimes a mix of the above

High-quality data is foundational to effective CV systems. Today, with the right training data, a Computer Vision system can recognize objects in images and video, including their shapes, textures, colors, sizes, locations, movements, and other relevant characteristics.

This Computer Vision eBook is focused on a data-centric approach to model development, which consists of systematically changing and enhancing datasets to improve output accuracy, as opposed to adjusting the models.


The Data-Centric Computer Vision eBook Will Cover:

  • Approaches and applications for different computer vision use cases
  • Techniques and best practices for launching successful CV-based models
  • Visual examples using our platform and output code


Data-Centric Computer Vision

Website for deploying AI with world class training data


Andrew Ettinger | Chief Revenue Officer

Andrew Ettinger joined Appen as Chief Revenue Officer in May 2023 overseeing the company's revenue strategies and driving growth in the field of AI. He joined Appen with more than 25 years of sales experience in sales and services in the technology industry. 

Andrew's expertise extends to harnessing the power of data to drive insights and optimize processes. As the Chief Revenue Officer at Astronomer, he successfully grew the adoption of their open-source data solution, leading to a remarkable increase in monthly downloads and revenue. His strategic initiatives resulted in a 600% growth in customer count and a 75% win rate. 

Prior to joining Astronomer, he served as the VP of Sales at Pivotal Software, where he helped grow the business from zero to $100 million in annual recurring revenue in a single year leading up to Pivotal’s initial public offering, and up to $500 million thereafter. Under his leadership, the company achieved three consecutive years of 50% revenue growth, fueling digital transformations for Fortune 500 companies in various sectors. 

Andrew holds a Bachelor of Science in Business Marketing from The Ohio State University.