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LayerNext Features

LayerNext's Core Features

DataLake: A unified repository for all AI data

Annotation Studio: Label image and video data at scale

Dataset Manager: Manage training datasets with version control

Unified Infrastructure: Capture, store, index, and search computer vision data

Visualize and Search: Easily explore and navigate data within DataLake

Organize and Share: Curate and organize large datasets, share with team members

Analyze and Debug: Understand data effectiveness, identify gaps and errors

Integration and Automation: Seamlessly integrate with computer vision applications and automate pipelines

LayerNext Apps and Third-Party App Integration: Store and access all data in one Data Lake

LayerNext's Use Cases

Retail: Enhance customer experience, optimize inventory management

Agriculture: Improve crop yield, monitor plant health

Healthcare: Assist in medical diagnosis, analyze medical images

Construction: Monitor construction sites, ensure safety compliance

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