Sold by: Voxel51
Deployed on AWS
Voxel51 is the most powerful visual and multimodal AI data engine for unlocking model performance. FiftyOne has 3M+ installs and customers, including Sony, LG, Ford, Hyundai, and Bosch.
4.6
Overview
Voxel51 is the most powerful visual AI and computer vision data platform.
Voxel51 streamlines visual data curation and model analysis with workflows to simplify the labor-intensive processes of visualizing and analyzing insights during data curation and model refinement-addressing a major challenge in large-scale data pipelines with billions of samples.
With over 3 million open source installs and customers like Walmart, GM, Bosch, Medtronic, and the University of Michigan Health, FiftyOne is an indispensable tool for building computer vision systems that work in the real world, not just in the lab.
Highlights
- FiftyOne is the most powerful Visual AI and computer vision data platform.
- FiftyOne puts data at the center of your workflow-helping you exploit its full potential to gain a competitive edge.
- FiftyOne is built to meet the demands of the most sophisticated ML stacks.
Details
Sold by
Categories
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
Platform Access | For access to the FiftyOne Enterprise Platform | $1.00 |
Dimension | Description | Cost/unit |
|---|---|---|
additional_usage | Additional Usage | $1.00 |
Vendor refund policy
All fees are non-refundable and non-cancellable except as required by law.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Email support services are available from Monday to Friday.
support@voxel51.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Customer reviews
Issac L.
A Powerful Command Center for Model Development and Vector Search at Scale
Reviewed on May 11, 2026
Review provided by G2
What do you like best about the product?
It functions as a comprehensive command center for our model development, helping us move away from static spreadsheets and toward interactive data exploration. For me, the vector embedding search is the standout feature, since it lets our team query millions of images using either text prompts or visual similarity. That high-level auditing capability makes it much faster to spot distribution shifts and uncover labeling errors than with any other tool I’ve used.
What do you dislike about the product?
The lack of a fully managed, native SaaS option for smaller research teams is a significant hurdle. Once you start approaching the petabyte range, having to host and scale the database backend yourself turns into a major administrative burden. I’d really like a plug-and-play cloud version where I can simply link an S3 bucket and let the platform take care of the underlying infrastructure and indexing automatically.
What problems is the product solving and how is that benefiting you?
It effectively removes the “blind spot” in our model evaluation phase by closing the gap between raw datasets and real-world model performance. By helping us downsample redundant imagery and tighten up our labels, it ensures we’re training on higher-quality data. That, in turn, leads to better model accuracy and a much smoother transition from research into production environments.
Emmitt S.
Unified Platform with a Standout Evaluation API for High-Fidelity Error Analysis
Reviewed on May 08, 2026
Review provided by G2
What do you like best about the product?
I find the platform’s unified nature to be its biggest advantage. In particular, the evaluation API is a technical standout: it allows me to run model prediction assessments and then immediately visualize false positives and false negatives in a high-fidelity interface.
What do you dislike about the product?
There’s a noticeable complexity cliff when moving from standard image viewing into the advanced features required for enterprise-level projects. The UI works well for basic tasks, but it starts to feel a little disjointed when you’re trying to set up multi-stage, large-scale workflows, and the overall flow isn’t as smooth as it could be for more complex setups.
What problems is the product solving and how is that benefiting you?
It effectively bridges the gap between raw data collection and final model deployment by bringing together tools for organization and error analysis in one place. This consolidation has noticeably reduced our context switching and the overall “data tax” that typically slows projects down.
Mack B.
Developer-Centric Visual Data Tool with Seamless Pre-Trained Model Integration
Reviewed on May 07, 2026
Review provided by G2
What do you like best about the product?
It offers a developer-centric environment that makes it genuinely easy to interpret and organize complex visual data. For me, the standout is its integration with popular pre-trained models, since it lets me quickly switch configurations, try out updates, and validate predictions across several models at the same time. The initial setup was also impressively painless.
What do you dislike about the product?
I find the current coupling between the interface and the backend a bit restrictive. I’d love to see a more stateless backend that would let me work with multiple datasets at the same time, ideally through separate windows. Right now, the fact that I can’t easily switch between different dataset views in the UI without re-initializing each time feels like a missed opportunity for a smoother, more flexible workflow.
What problems is the product solving and how is that benefiting you?
It effectively removes a lot of the friction from analyzing computer vision model outputs. Because the platform is genuinely optimized for developers, it gives me granular control over how I visualize the data and how I integrate it into our existing infrastructure. As a result, model updates and configuration testing have become much faster and more reliable for our team.
Lillie C.
An Effective Command Center for Organized AI Data Operations
Reviewed on May 06, 2026
Review provided by G2
What do you like best about the product?
It serves as a highly effective command center for our data-centric AI operations, keeping everything organized and easy to manage.
What do you dislike about the product?
The query syntax used for filtering can be fairly challenging to learn, and it often feels non-intuitive for new users, especially during the first few weeks.
What problems is the product solving and how is that benefiting you?
It effectively bridges the gap between automated labeling and human verification in our specialized textile projects. I use it to audit the accuracy of LLM-generated annotations on fabric samples, especially when distinguishing between patterned designs and graphic designs.
Carmen K.
Intuitive Tool That Transformed Our Computer Vision Dataset Workflow
Reviewed on May 05, 2026
Review provided by G2
What do you like best about the product?
I really appreciate how it has fundamentally changed our day-to-day routine for exploring and validating our computer vision datasets. The interface is remarkably intuitive, so newer team members were able to get up to speed almost immediately, without needing extensive hand-holding.
What do you dislike about the product?
While the tool itself is excellent, the pricing model feels a bit steep for smaller startups like ours. As a result, we’re currently limited to the free version, which means we miss out on some features.
What problems is the product solving and how is that benefiting you?
It effectively addresses the fragmentation and time-consuming nature of our previous computer vision workflows. Before we adopted it, analyzing specific edge cases or tracking down subtle labeling errors often felt like searching for a needle in a haystack.