Krikey AI is transforming the world of 3D animation with its innovative platform that enables users to generate high-quality 3D animations using just text or video inputs, without requiring any prior animation experience. The startup’s powerful foundation model, trained to understand human motion and translate text descriptions into realistic 3D character animations, relies on high-quality labeled data for machine learning models. However, labeling a vast amount of data input containing body motions with descriptive text labels was a daunting task for Krikey AI.
Amazon SageMaker Ground Truth, an AWS managed service, provided a solution by combining machine learning and expert human annotation to get high-quality labeled data for machine learning models. Krikey AI used SageMaker Ground Truth to expedite the development and implementation of their text-to-animation model, efficiently sourcing precise labels tailored to their needs. The partnership enabled Krikey AI to rapidly build a massive dataset of richly labeled motion data in just three months, generate high-quality labels for their large dataset, and save over $200,000 in labeling costs.
In my opinion, this partnership highlights the immense value SageMaker Ground Truth offers startups working with generative AI, providing access to premium labeled data, and accelerating their time-to-market. The article showcases how Krikey AI was able to overcome the challenge of labeling a vast amount of data input, and how SageMaker Ground Truth’s advanced data labeling workflows and model-assisted labeling capabilities streamlined and optimized their large-scale labeling process.
