Powering visual AI with
FiftyOne
Built on a powerful open source core, FiftyOne surfaces the data insights needed to build high-quality computer vision datasets and robust models.
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.

customers

Loved by developers

0+
product installs
0k
GitHub stars
0+
enterprise customers
fiftyone platform

Deploy anywhere
Fully customizable and extensible
Support for billions of samples
FiftyOne supports billions of samples and metadata
Dataset versioning
FiftyOne includes robust data versioning capabilities
Role-based access controls
ISO 27001 certification
FiftyOne is ISO 27001 certified
Annotation Overview

Verified Auto Labeling

Get auto-labeling combined with intelligent QA to deliver human-quality labels at a fraction of the price.
Curation Overview

Data curation and management

Curate high-quality visual datasets with tools that surface insights, uncover issues, and optimize data for model performance.

Data Quality

Detect label errors, uncover biases, and fill coverage gaps. FiftyOne gives you the visibility to improve dataset quality and ensure your models are learning from the right data.
Voxel51 Data Quality - Exact Duplicates

Embeddings & Data Visualizations

Explore your dataset like never before with powerful embeddings and interactive visualizations. Quickly surface patterns, clusters, and edge cases to guide model development and refinement.
Computer vision embeddings
MODEL EVALUATION

Understand model strengths and weaknesses to improve performance

Assess overall model performance and inspect individual samples — all in one interactive workflow. Identify failure modes, bias, and blind spots with ease.

Scenario analysis

Compare model metrics on multiple models to understand which model performs best and why

Sample-level analysis

Uncover model failure modes by conducting sample-level analysis to view the best/worst-performing samples and edge cases

Performance metrics
Evaluate and analyze model detections and aggregate metrics such as mAP, precision, recall, f1 scores, and more

INTEGRATIONS

Integrate with your existing ML stack

“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

“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)

“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


"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

“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

“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

“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


Join our AI, ML, and data science 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.

Enough data wrangling.

Request a demo.