LayerNext

What is LayerNext?

LayerNext is an end-to-end AI data management platform specifically designed for Computer Vision. It provides a unified infrastructure to capture, store, index, search, curate, annotate, and manage large-scale computer vision data, including raw video/image data, metadata, labels, and model runs. The platform facilitates the entire CV workflow from data collection to experiment tracking and production monitoring, aiming to supercharge AI team productivity and collaboration.

How to use LayerNext?

LayerNext allows users to upload raw video/image data, then curate and annotate it using the Annotation Studio. Datasets can be managed with version control via the Dataset Manager. Users can explore and visualize all data in a single DataLake, organize unstructured datasets, analyze training data effectiveness, and integrate seamlessly with other computer vision applications via SDK and API to automate pipelines.

LayerNext’s Core Features

DataLake: Unified repository for all AI data. Annotation Studio: Label image and video data at scale. Dataset Manager: Manage training datasets with version control. Explore: Visualize, search, and explore raw images, videos, and model outcomes. Organize: Curate large unstructured datasets and create subsets. Analyze: Understand training data effectiveness and debug errors. Integrate: Seamlessly connect with any computer vision application via SDK and API. Self-Hosted by default: Run within your infrastructure for security. Data Control: Ensure compliance with HIPAA, GDPR, and other regulations.

LayerNext’s Use Cases

• Retail: For computer vision applications in retail.
• Agriculture: For computer vision applications in agriculture.
• Healthcare: For computer vision applications in healthcare.
• Construction: For computer vision applications in construction.