HyperLabel Developer — a full-featured desktop application for creating labeled datasets for Machine Learning (ML) quickly, easily and with complete privacy — is now available free, with no label quantity restrictions, the company said.
HyperLabel Developer offers the fastest path to implementing ML and allows individual data scientists, developers and engineers, as well as large, in-house or distributed labeling teams to create high-quality training datasets in any quantity free of charge.
Sixgill, LLC, which first introduced HyperLabel in July, is revising HyperLabel Developer for unlimited use, free, making it more easily obtainable and inherently valuable for users. HyperLabel is continuing to build its fast-growing user community with a robust set of free, easy-to-use features so developers and other data experts can spend more time training models and less time labeling.
Stand-alone, self-hosted, and anchored to the desktop for image and video labeling, HyperLabel Developer is fast, accurate and private. The application guides users through a quick, easy, step-by-step process. In just a few clicks, users can set up projects, import imagery, define schemas and begin labeling.
Sixgill provides a full suite of universal data automation and authenticity products and services that enable organizations to govern IoE assets. To learn more, visit Sixgill.com.
