LayerNext
End-to-end AI data management platform for Computer Vision teams.
Screenshots
Overview
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 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.
Core Features
Use Cases
- 1 Retail: For computer vision applications in retail.
- 2 Agriculture: For computer vision applications in agriculture.
- 3 Healthcare: For computer vision applications in healthcare.
- 4 Construction: For computer vision applications in construction.
Frequently Asked Questions
What is LayerNext? What are the core components of LayerNext? Is LayerNext self-hosted? What industries can benefit from LayerNext? Does LayerNext offer a free version?
Quick Info
- Category
- Image Analysis
- Subcategory
- AI Image Recognition
- Added on
- May 15 2023
- Monthly Visits
- --
- Rating
- 5.0 / 5.0
- Saved
- 2
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