FiftyOne powers multimodal and physical AI

Built on a powerful open source core, FiftyOne surfaces the data insights for building high-quality multimodal datasets and robust models.
Underwater coral reef scene with multiple striped fish detected and bounding-boxed, each labeled "Fish A."
Screenshot of the Voxel Agent chat interface showing a user query "Find samples with potential annotation mistakes in my dataset" and the agent's response confirming a completed QA workflow that found 47 samples with potential issues and configured a review workspace.

Overview

FiftyOne Overview

Get full visibility into your data

Instantly slice, search, and filter massive multimodal datasets to weed out low-quality samples and surface the right insights.

Label the right data and QA more efficiently

  • Streamline your annotation pipeline with Intelligent Review and VLM-powered Agentic Labeling
  • Curate high-value samples that are most likely to improve your model
  • Deliver projects to spec with project management, workforce routing, schemas, ontologies, and more.

Pinpoint exactly why your models fail

Trace poor metrics directly down to the sample level, analyze performance across specific edge-case scenarios, and compare multiple models side-by-side to uncover hidden biases.
FiftyOne model evaluation dashboard comparing two models across performance metrics, confusion matrices, and confidence distributions.

Multiply the value of every scene you capture

Build dataset diversity without the need to collect new data every time. Close edge cases and generate high-fidelity scene variations. Transform raw sensor captures into rich, reconstructable scenes through direct integration with NVIDIA libraries.

Multimodal

Get native support for multimodal time-series data

FiftyOne covers every development stage for multimodal and physical AI by providing all the right tools that enable end-to-end development.
Query massive datasets by metadata, temporal events, and annotation labels.
Compute and visualize embeddings across sensor data to find visually similar samples beyond keyword label matches.
Tag arbitrary time intervals to curate data for investigation.
Camera streams, LiDAR point clouds, and numeric sensors play back in sync on a single, shared timeline.
Labels exist as tracks over time. Scrub the timeline to see exactly when an object appears or an event occurs across the full scene.
Query massive datasets by metadata, temporal events, and annotation labels.
Compute and visualize embeddings across sensor data to find visually similar samples beyond keyword label matches.
Tag arbitrary time intervals to curate data for investigation.
Camera streams, LiDAR point clouds, and numeric sensors play back in sync on a single, shared timeline.
Labels exist as tracks over time. Scrub the timeline to see exactly when an object appears or an event occurs across the full scene.

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.

customers

Loved by developers

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product installs
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enterprise customers

“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
Safely You logo in green

“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)
Microsoft logo

“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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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.
Integrations
FiftyOne logo surrounded by integration icons: AWS, Anthropic, Google Cloud, OpenAI, Weights and Biases, Milvus, Hugging Face, NVIDIA, and MongoDB.

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.

Request a demo.