Powering vision AI applications for Retail
Weaving human and machine intelligence to help deep learning teams reach production at scale
Expanding AI capabilities in retail
Building computer vision applications for the retail industry means dealing with chronic change and inconsistency, as products and brands get constantly replaced, reorganized and redesigned. To make matters more complex, mistakes or delays in production environments are likely to be customer-facing, so models are required to perform at peak accuracy.
To answer such demands, Dataloop’s platform integrates automatic active learning with human-in-the-loop functions for data validation. This way, deployed models are continuously fed with new, authentic and validated data that comes directly from your production environment, ensuring that your models produce outputs with maximum accuracy and reach production-grade performance at the fastest time to market.
Dataloop's real world applications in retail
Select use cases that Dataloop advances
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Enterprise-grade data engine
Ensuring highest data standards that serve your entire data organization, allowing cross-functional collaboration while keeping your data access internal