Layernext

LayerNext is a powerful AI data infrastructure tool designed to streamline computer vision projects for AI teams.

LayerNext simplifies the process of working with computer vision (CV) datasets by helping teams collect, organize, label, and search through large amounts of data efficiently. With this tool, managing training datasets becomes a breeze, thanks to its version control features that make it easy to keep track of changes as models are developed and refined.

A standout element of LayerNext is the DataLake, which acts as a centralized hub for all your AI-related data. Whether you're dealing with raw images and videos or curated datasets, this repository holds it all—including ground truth and model outcomes. The built-in viewer allows users to see their data visually, making it simple to navigate and explore everything from one convenient location.

For those who need to label their image and video data, LayerNext offers the Annotation Studio. This feature enables users to annotate large datasets effectively, making it easy to keep everything organized. Additionally, the tool provides analytics capabilities to help teams evaluate the quality of their training data, pinpoint any gaps, and correct model and label errors.

Collaboration is key in any project, and LayerNext supports this by providing SDKs and APIs that facilitate smooth integration with other computer vision applications and services. There are also specialized apps focused on specific tasks like data curation and annotation, streamlining workflows so that teams can work more effectively.

Another advantage of LayerNext is that it is self-hosted by default, giving users complete control over their data while ensuring compliance with regulations such as HIPAA and GDPR. This flexibility and security make it a great fit for various industries, including retail, agriculture, healthcare, and construction.

Ultimately, LayerNext is all about boosting productivity and collaboration for AI teams. With a user-friendly interface and a range of comprehensive features, it simplifies the CV workflow and allows teams to concentrate on what really matters in their AI projects.