FiftyOnePowering multimodal and physical AI

Built on a powerful open source core, FiftyOne surfaces the data insights for building high-quality vision datasets and robust models.
FiftyOne app showing an embeddings cluster plot beside a 3D point cloud reconstruction of a tree in a bounding box.
FiftyOne sample grid showing segmentation masks and detection boxes across a diverse image dataset.
Shoulder X-ray with detection boxes labeled 'fracture' and a confidence score, showing visual AI for medical imaging in healthcare.
FiftyOne model comparison table scoring two models on IoU, precision, recall, and F1, with per-metric differences.

Workflows

FiftyOne Platform

FiftyOne covers every development stage for multimodal and Physical AI by providing all the right tools that enable end-to-end development.
FiftyOne workflow diagram: curate, annotate, generate, and evaluate multimodal data and models in a continuous loop.

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Overview

FiftyOne Overview

Get full visibility into your data

Understand data distributions, explore datasets, and weed out low-quality data samples using intuitive data workflows.
  • Unify multimodal data (3D, video, images, metadata)
  • Slice, search, and filter massive datasets
  • Analyze data patterns with embeddings
  • Improve data quality with automatic filters
  • Query data lake and retrieve relevant samples

Why FiftyOne

Poor quality data is the biggest obstacle to AI success

FiftyOne is the refinery for building visual AI that harmonizes data and models to create quality datasets and accurate models. Reveal data gaps, spot failure modes, and streamline workflows to maximize model performance.

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Leading enterprises build using FiftyOne
30% increase in model accuracy
5+ months of development time saved
30% boost in team productivity

COMPLIANCE & GOVERNANCE

Enterprise-grade security, scale, and extensibility

FiftyOne is built to meet the demands of the most sophisticated ML stacks.
Deploy anywhere
Diagram of FiftyOne Enterprise deployment options: cloud, hybrid, on-premise, air-gapped, and managed.
Fully customizable and extensible
Diagram of FiftyOne's customization options: front-end, security, plugins, and integrations, showing platform extensibility.
Support for billions of samples
FiftyOne dataset list showing image and video collections like Oxford Flowers 102 and Baseball Game with sample counts.
Dataset versioning
FiftyOne dataset versioning interface showing snapshots with sample counts and a rollback option.
Role-based access controls
FiftyOne interface showing role-based access controls, with teams assigned view or edit permissions.
ISO 27001 certification
ISO 27001 certification badge, signaling FiftyOne Enterprise compliance with information security standards.

INTEGRATIONS

Integrate with your existing ML stack

Diagram of FiftyOne's integration ecosystem: annotation tools, cloud, SDKs and notebooks, vector search, models, and evaluation.

“FiftyOne is our primary resource for machine learning research. Thanks to FiftyOne's convenient field visualizations and filtering capabilities, we can easily distinguish incorrect labels and predictions, and therefore iterate on models faster than ever. As a result, we've achieved a 77% reduction in images sent for manual verification.”

Ryan Szeto
Senior Computer Vision Engineer at SafelyYou

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“As we developed our Florence-2 model, FiftyOne proved invaluable for data management and visualization. Its powerful capabilities helped streamline our workflow, ensuring we built a robust foundation for our models. Now, as we dive into the development of Florence-5B, we're relying on FiftyOne more than ever. The tool's intuitive interface and rich feature set are essential for effectively managing our large datasets and gaining critical insights.”

Bin Xiao
AI Researcher, Meta (formerly Principal Research Manager, Microsoft GenAI)
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“FiftyOne has helped us speed up investigations by 3x. For example, if we see a wrong suction cup grasping an item, we can quickly visualize the issue across all data sources and identify what went wrong.”

Dimitry Pechyoni
Senior Principal Machine Learning Engineer at Berkshire Grey


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"FiftyOne enables researchers to analyze and improve the quality of their datasets rapidly, replacing the weeks of manual labor that would otherwise be required without this technology. High-quality data is critical to the success of machine learning systems. Without the right tools to analyze and curate datasets, machine learning development can be inefficient and ineffective.”

Jordi Pont-Tuset
Research Scientist at Google
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“At Allstate, my team works on auto vehicle damage inspection. Verifying the damage to a vehicle can take an insurance claim agent hours to verify, but using computer vision and FiftyOne, we can segment the parts of vehicles first, then detect the damages, and finally match the damage to repair costs and generate reports for the adjusters.”

Pavan Nanjundappa
Data Science Manager, Allstate India
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“We use FiftyOne to organize large research datasets. My favorite feature is the ability to view distributions over image attributes in the dataset, and filter the dataset by those attributes.”

Brett Israelsen
Principal Research Scientist, AI, Raytheon
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“What really stands out about FiftyOne is the flexibility. The plugin framework lets us customize our workflows based on our unique needs, and the mature SDK lets us consolidate more of our pipeline into one tool, avoiding the cost of stitching together multiple systems. FiftyOne integrates directly into our production pipeline to drive 80% reductions in workplace incidents .”

Patrick Rowsome
Head of Computer Vision Operations, Protex AI


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Join our AI, ML, and computer vision community

Join more than 20,000 developers and scientists around the world who are leveling up their AI skills in
GenAI, Computer Vision, LLMs, MLOps, vector search, and more.
World map with orange markers showing FiftyOne's global AI, ML, and computer vision community.

Enough data wrangling.

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