Voxel51 organizes, queries, and evaluates complex visual data to help computer vision teams build better physical models with fewer training errors.
What it is
Voxel51 is an end-to-end multimodal data platform built for physical and visual model development. It gives machine learning engineers a centralized workspace to index, examine, and refine massive video, image, 3D, and sensor datasets before model training.
Key features
- Natural language, visual similarity, and metadata search across massive samples
- Synchronized playback for images, 3D scenes, sensor streams, and maps
- Automated quality checks and annotation validation to catch label errors
- Built-in agentic workflows to automate repetitive data tasks using text commands
- Detailed model evaluation tools to surface underperforming classes and failure modes
- Extensible plugin framework for custom capabilities and integrations
Who it's for
This platform serves machine learning researchers, computer vision engineers, and robotics teams working on autonomous systems, manufacturing, healthcare, and retail applications.
Pricing
Voxel51 offers paid tiers including Team, Growth, and Custom plans based on user seats, compute hours, and deployment needs, plus an open-source option.
Use cases
- Search massive datasets using natural language queries
- Visualize synchronized multimodal episodes and sensor streams
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