Launched in 2019
Pricing
Free trial
Free version

Voxel51 is the company behind FiftyOne, an open-source platform designed to help data scientists, ML engineers, and AI researchers manage, visualize, explore, and curate datasets for computer vision and multimodal AI applications. FiftyOne enables users to identify dataset issues such as label errors, duplicates, and edge cases, and to evaluate model performance across diverse data slices. The platform supports a wide range of data types including images, video, point clouds, and 3D scenes. FiftyOne integrates with popular ML frameworks and annotation tools, allowing teams to build iterative data-centric AI workflows. Voxel51 also offers FiftyOne Teams, an enterprise-grade version that adds collaboration, access control, and scalable dataset management for larger organizations. The platform is widely used in industries such as autonomous vehicles, robotics, healthcare imaging, and general computer vision research.

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Target audience and deployment

  • Startup
  • SMB
  • Mid-market
  • Enterprise
  • Cloud
  • Self-hosted
  • API

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Key features

Dataset visualization and explorationLabel error and duplicate detectionModel evaluation and diagnosticsEmbeddings visualizationDataset versioning and managementAnnotation workflow integrationSupport for images, video, point clouds, and 3D scenesPlugin and integration ecosystemFiftyOne Teams collaboration and access controlBrain methods for dataset curationOpen-source core (FiftyOne OSS)

Use cases

  • Curate and clean training datasets
  • Evaluate model performance across data slices
  • Visualize and explore multimodal datasets
  • Manage annotation workflows
  • Build data-centric AI pipelines
  • Collaborate on datasets at scale

Best for

  • ML Engineers who need to curate and validate large-scale computer vision datasets
  • Data Scientists who need to diagnose model failures and improve dataset quality
  • AI Researchers who need to explore and visualize multimodal datasets interactively
  • Enterprise AI Teams who need to collaborate on dataset management with access controls

Integrations

Developer

GitHub

AI models included

PyTorch, TensorFlow, Hugging Face, ONNX

Databases

MongoDB

Other

Scale AI, Label Studio, CVAT, Labelbox, Weights & Biases, MLflow