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Voxel51 FiftyOne

Open-source platform to curate, visualize and debug visual AI datasets

data-labeling#dataset-curation#computer-vision#data-centric-ai#visualization
Free plan Free trial Claimed API Self-hosted Teams

About Voxel51 FiftyOne

FiftyOne by Voxel51 is an open-source, data-centric platform for curating, visualizing and debugging computer-vision and multimodal datasets, with an enterprise edition for teams.

FiftyOne is a data-centric platform for building high-quality visual AI. It provides an interactive app and Python SDK to explore, filter and search large image, video and multimodal datasets using metadata, visual similarity and natural language, and to surface related or edge-case samples. Teams can evaluate model performance, trace poor metrics down to individual samples, and compare multiple models to understand and fix failures. Built on an open-source core with a plugin ecosystem, FiftyOne is widely adopted by computer-vision research teams and had over 10,000 GitHub stars as of 2026. Voxel51 also offers FiftyOne Enterprise (Teams) with collaboration, security and scaling, and has extended the platform toward physical AI with synchronized playback, curation and annotation for multimodal time-series data. It suits ML and computer-vision teams that want to improve dataset quality rather than just train on raw data.

TL;DR

FiftyOne by Voxel51 is an open-source, data-centric platform for curating and debugging visual AI datasets, with an enterprise edition for teams.

Company overview

Voxel51 develops FiftyOne, an open-source platform for data-centric computer vision, alongside FiftyOne Enterprise for teams. The company is a well-known name in the computer-vision community, with FiftyOne widely used by research teams.

In 2026 Voxel51 extended FiftyOne toward physical AI and multimodal time-series data, reinforcing its focus on dataset quality as a competitive edge.

Product features

FiftyOne offers an interactive app and Python SDK to explore, search and filter large visual datasets, evaluate models and trace failures to specific samples. Its plugin ecosystem extends the core platform.

The enterprise edition adds collaboration, security, scaling and annotation, and the platform supports synchronized playback and curation for physical-AI data.

Target market

Voxel51 targets computer-vision and ML teams, from research labs to enterprises, that want to improve dataset quality and debug models.

Buyer personas

End users

Computer-vision engineers and ML researchers.

Buyers

ML and data engineering leads.

Key influencers

CV researchers and open-source contributors.

Ideal customer profile

Computer-vision and multimodal ML teams that need to curate, evaluate and debug datasets to improve model quality.

Funding & performance

Voxel51 has raised venture funding to develop FiftyOne; verify the latest funding details with the company.

Pros & cons

Pros

  • Powerful open-source core
  • Rich visualization and search
  • Traces metrics to sample level
  • Broad integrations with CV tools
  • Strong adoption in CV research
  • Enterprise edition for collaboration

Cons

  • Focused on visual and multimodal data
  • Enterprise features require paid plan
  • Learning curve for advanced workflows
  • Local resource needs for big datasets
  • Not a general text-only labeling tool

Pricing plans

Open Source
$0
  • FiftyOne core app and SDK
  • Dataset visualization and search
  • Model evaluation
  • Community support
Enterprise
Contact sales / month
  • Team collaboration
  • Security and access control
  • Scaling and cloud
  • Annotation and support

Key features

API
Team collaboration
Self-hosted
Multi-language
Integrations
PyTorch, TensorFlow, CVAT, Labelbox, Hugging Face
Input types
image, video
Output types
text
Best For
dataset curation, model debugging, computer vision teams

Compare key features

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Feature
Voxel51 FiftyOne
Label Studio
Roboflow
Pricing
Freemium
Freemium
Freemium
Free plan
Yes
Yes
Yes
Free trial
Yes
Yes
No
API
Yes
Yes
Yes
Self-hosted
Yes
Yes
No
Team support
Yes
Yes
Yes

Frequently asked questions

Is FiftyOne open source?+

Yes, the FiftyOne core is open source and free, with a paid enterprise edition available.

What is FiftyOne used for?+

Curating, visualizing, evaluating and debugging computer-vision and multimodal datasets.

Does FiftyOne support model evaluation?+

Yes, it can evaluate models and trace poor metrics down to individual samples.

What data does FiftyOne handle?+

Primarily images and video, plus multimodal and time-series data for physical AI.

What is FiftyOne Enterprise?+

A paid edition adding collaboration, security, scaling and annotation for teams.

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