
FiftyOne
Multimodal data platform for curating and improving physical AI performance.
Pricing
About FiftyOne
FiftyOne is a multimodal data platform developed by Voxel51 designed to help teams build and iterate on AI systems faster by improving data quality. The platform enables users to slice, search, and filter large datasets to identify and remove low-quality samples, while providing full visibility into data across various modalities including images, video, point clouds, and time-series data. It's built for enterprises working with physical AI systems across industries like autonomous systems, healthcare, and manufacturing. FiftyOne puts data curation at the center of AI success rather than focusing solely on model architecture. One limitation is that it requires integration expertise to fully leverage within complex AI stacks, though the platform is designed to support billions of samples with role-based access controls and ISO 27001 certification.
At a glance
- Company
- Voxel51
- Platforms
- Web, API
- API
- Available
- Last verified
- June 2026
Who It's For
- •Machine learning engineers
- •Computer vision teams
- •Enterprise AI organizations
- •Companies building autonomous systems
- •Defense, healthcare, manufacturing, and robotics industries
How It Works
- 1Surfaces data insights to maximize AI performance by analyzing visual data quality
- 2Provides instant dataset slicing, searching, and filtering to identify low-quality samples
- 3Visualizes and queries multimodal datasets in a unified interface
- 4Supports dataset versioning and governance controls for enterprise compliance
How to Use FiftyOne
- 1Install FiftyOne via open-source (OSS) installation option
- 2Access the web-based platform to visualize and manage your datasets
- 3Use annotation tools for data labeling and quality assurance
- 4Evaluate model performance with built-in evaluation tools
- 5Generate synthetic scenes for data augmentation
Key Features
- •Data Curation & Management - slice, search, filter massive multimodal datasets
- •Smarter Annotation - streamlined annotation workflows
- •Model Evaluation - assess model performance on visual data
- •Scene Generation - generate synthetic data for training
- •Multimodal Support - handle images, video, point clouds, and time-series data
- •Dataset Versioning - track and manage dataset versions
- •Role-based Access Controls - enterprise-grade security
- •Scalability - supports billions of samples
Use Cases
- •Improving model accuracy by curating high-quality training datasets
- •Reducing development time through faster data wrangling and preparation
- •Evaluating computer vision models across multimodal data types
- •Managing autonomous systems and robotics datasets
- •Enhancing physical AI performance in defense, healthcare, and manufacturing
Pros & Cons
Advantages
- •Unified platform for all physical AI modalities (images, video, point clouds, time-series) - no need for multiple specialized tools
- •Proven ROI for enterprises with documented improvements in model accuracy and development velocity
- •Open-source foundation with 5+ million installs and strong community support (100K+ members)
Disadvantages
- •Requires integration expertise to fully leverage within complex AI stacks despite flexible architecture
- •The platform's extensive customization options may create a steep learning curve for smaller teams
Alternatives
See all FiftyOne alternatives →- Datature
- DataFit AI
- Labelbox
- Roboflow
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Frequently Asked Questions
What is FiftyOne?
FiftyOne is a multimodal data platform developed by Voxel51 designed to help teams build and iterate on AI systems faster by improving data quality. The platform enables users to slice, search, and filter large datasets to identify and remove low-quality samples, while providing full visibility into data across various modalities including images, video, point clouds, and time-series data.
How much does FiftyOne cost?
FiftyOne uses custom pricing — contact the vendor for a quote.
Is FiftyOne free?
FiftyOne is a paid tool and does not offer a free plan.
What are the best FiftyOne alternatives?
Popular FiftyOne alternatives include Datature, DataFit AI, Labelbox.
What is FiftyOne used for?
FiftyOne is commonly used for Improving model accuracy by curating high-quality training datasets, Reducing development time through faster data wrangling and preparation, Evaluating computer vision models across multimodal data types.
Does FiftyOne have an API?
Yes, FiftyOne offers an API for developers.
What platforms does FiftyOne support?
FiftyOne is available on Web, API.
Information Accuracy
Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.