Case Study: a leading sports analytics company achieves 10x faster annotation with Encord

Rapid Annotation & Flexible Ontology for a Sports Tech Startup

a leading sports analytics company needed to rapidly label video footage to train its models but found its in-house annotation tool was too slow and limited its ability to iterate on new features. The single-purpose tool prevented the ML team from exploring new models and products, making their strategy unsustainable. They turned to Encord for a solution.

Encord provided a rapid annotation platform featuring multi-frame object detection, which drastically cut the time needed to label objects across video frames. The solution included API access for importing existing datasets and allowed multiple annotators to work simultaneously. As a result, the company achieved a 10x faster annotation time, enabling them to immediately collect data and iteratively build new ontologies to develop features for additional sports.