LayerNext is an end-to-end AI data management platform that helps Computer Vision teams collect, curate, label, and search datasets at scale.

What are the core components of LayerNext?

LayerNext includes a DataLake for unified data storage, Annotation Studio for labeling, and Dataset Manager for version-controlled dataset management, along with tools for exploration, organization, analysis, and integration.

Is LayerNext self-hosted?

Yes, LayerNext is self-hosted by default, allowing users to run it inside their own infrastructure for enhanced security and data control.

What industries can benefit from LayerNext?

LayerNext can be used in various AI applications across industries such as Retail, Agriculture, Healthcare, and Construction.

Does LayerNext offer a free version?

Yes, LayerNext has launched a Community version.

LayerNext: End-to-end AI data management platform for Computer Vision teams.

Name: LayerNext
Rating: 5 (85 reviews)
Author: toolify

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Introduction:

End-to-end AI data management platform for Computer Vision teams.

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May 15 2023

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LayerNext Product Information

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.