Case Study: Move.ai accelerates motion capture training and launches 2x faster with Labelbox

Move.ai moves 2x as fast with Labelbox

Move.ai, a London-based AI company, faced the challenge of training complex computer vision models for its markerless motion capture technology. Their algorithms needed to accurately identify people, recognize human limbs in various poses, and track classifications like jersey numbers, all while dealing with occlusions and different distances. To produce the high-quality training signal required across multiple use cases, they turned to Labelbox.

Using Labelbox's video processing interface and Python SDK, along with its expert workforce, Move.ai was able to rapidly produce the necessary pose and spatial signal. This solution enabled the company to iterate on its algorithms twice as fast, significantly accelerating its go-to-market timeline and product launches. The results from Labelbox were described as magnificent, providing a major boost to Move.ai's training data efforts.

Move.ai