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LayerNext is a cutting-edge AI data management platform designed specifically for computer vision (CV) projects. It streamlines the process of collecting, curating, labeling, and searching large-scale CV datasets, empowering AI teams to work more efficiently. The platform's DataLake serves as a centralized repository for all AI data, including raw images and videos, curated data, ground truth, and model outcomes.
The built-in viewer enables users to visualize their data and perform searches, making it easier to explore and understand their data in one place. LayerNext's Annotation Studio allows users to label image and video data at scale, while the analytics tools help analyze training data effectiveness, identify gaps, and address model and label errors.
The platform emphasizes collaboration and integration, offering SDKs and APIs for seamless integration with other computer vision applications and services. Specialized apps streamline workflows, such as dataset curation and annotation, further enhancing team productivity.
By default, LayerNext is self-hosted, giving users control over their data and ensuring compliance with regulations like HIPAA and GDPR. This makes it an ideal solution for various industries, including retail, agriculture, healthcare, and construction.
In summary, LayerNext simplifies the CV workflow, boosts team productivity, and provides comprehensive features for efficient data management and automated workflows.
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