Key Features From LayerNext
DataLake: Centralized storage for all your AI data
Store and manage all your visual data, metadata, and model outputs in one scalable repository.
Annotation Studio: High-speed labeling of visual content
Label thousands of images and videos with powerful tools that support team collaboration and automation.
Dataset Manager: Version-controlled dataset handling
Create, track, and manage training datasets with full version history and reproducibility.
Unified Infrastructure: All-in-one data management system
From ingestion to indexing and search, LayerNext offers a unified backend for all your computer vision needs.
Visualize and Search: Interactive data exploration
Easily navigate and search through your visual datasets using intuitive filtering and preview tools.
Organize and Share: Collaborative dataset management
Curate datasets, tag them with metadata, and share with team members for streamlined collaboration.
Analyze and Debug: Insightful data evaluation tools
Identify performance gaps, label inconsistencies, and data biases through powerful analytical dashboards.
Integration and Automation: Flexible API and SDK support
Integrate LayerNext into your existing pipelines and automate labeling, dataset generation, and more.
LayerNext Apps and Third-Party Integration: Seamless connectivity
Connect with external tools and platforms, keeping all your data accessible from a single DataLake interface.