Case Study: Genius Sports achieves rapid, high-quality AI labeling and full data control with Labelbox

Genius Artificial Intelligence Transformation of Pro Sports

Genius Sports, a UK-based sports data company working with organizations like MLB, PGA Tour and the Premier League (and recently partnered with the NCAA), needed high-quality, transparent labeling and tooling to train computer vision and deep learning models. The team feared outsourcing labeling would produce low-quality training data and eliminate visibility and control over the process, while alternative tools were unintuitive, hard to set up, and slowed iterative model development—so Genius Sports turned to Labelbox’s data labeling and collaboration platform.

Labelbox provided an easy-to-use labeling interface, in-app support, and proactive account engagement that allowed Genius Sports to integrate remote labelers, maintain visibility into annotations, and iterate quickly. The result: the labeling team completed 1,000 complex images in just two days, improved collaboration with remote contributors, and made Labelbox a critical, front-line part of Genius Sports’ deep learning workflow.

Genius Sports

Gal Ozery

Senior Product Owner