Skip to main content
Visual Layer is a platform for managing and analyzing visual at scale. When you work with large collections of images and videos, Visual Layer helps you find specific content, identify quality issues, and organize data efficiently. Your visual data provides the foundation for Visual Layer to generate insights, detect patterns, and streamline curation workflows.
Dataset Inventory

​
What makes Visual Layer efficient for visual data management and analysis?

Visual Layer provides three core capabilities for managing visual datasets.

​
Exploring visual datasets

Visual Layer organizes your data into of similar images and objects. Semantic Search finds content using natural language descriptions like “cat sitting on a fence.” Visual Search locates similar images based on reference examples you provide.

​
Improving data quality

Visual Layer identifies , , and automatically. Duplicate Detection finds redundant frames that waste storage and bias models. Quality filters surface technical problems like blur, overexposure, or underexposure that reduce annotation accuracy.

​
Organizing and collaborating

Visual Layer saves your filtering queries as reusable views. Saved Views let teams access specific dataset subsets instantly without recreating searches. management adds custom tags and attributes for better organization and downstream workflows.

​
Get started with Visual Layer

Select any of the following to begin.

Create a Dataset

Upload and index your first visual dataset

Deploying Visual Layer

Choose between cloud and self-hosted deployment

Key Concepts

Learn core terminology and platform concepts