Why AI teams choose Voxel51 over CVAT
Voxel51 provides the tools data annotation and ML teams need to make their labeling budgets go further, keep data quality consistently high, and ship reliable models faster. Voxel51 provides an extensible platform built for curation, annotation, and model evaluation — at any scale.
30% increase in model accuracy
Identify edge cases, outliers, duplicates, and mislabeled samples with precision filtering and dynamic slices—so you can build cleaner, leaner datasets that drive better model results.
5+ months of development time saved
Identify your best performing samples, weed out low-quality data, and organize dataset views intuitively — so you can focus on building better models, faster.
30% boost in team productivity
Work with enterprise-level workloads spanning billions of samples across multimodal data in the cloud, on-premise, or air gapped.
Benefits
Voxel51 is a better alternative to CVAT. Here's why.
Teams that use CVAT for annotation and Voxel51 for curation find they can consolidate their entire ML workflow into Voxel51—with no loss in annotation capability and significant gains in the speed of model iteration.
Annotation plus everything around it
Voxel51 connects data annotation to curation and model evaluation, so teams spend their time on labeling the right data and get through it faster with AI-assisted labeling. No integration code, no tool switching, no lost context.
Faster and more efficient label review
Spend less time finding and fixing labeling errors. Voxel51 speeds up labeling QA by performing intelligent review to surface annotation mistakes. The same approach flags data gaps before they become model failures.
Flexible and extensible
Voxel51’s open and flexible architecture adapts to your project needs. Agentically extend the tool’s functionality, build custom visualizations, automate workflows, and deploy as you need: on-prem, air-gapped, cloud, or managed service.
3x Faster robotics investigations
“FiftyOne has really helped us speed up investigations. 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
Comprehensive annotation
I use CVAT for my labeling tasks. Does Voxel51 provide all the annotation capabilities I need?
Voxel51 gives annotation teams everything they need to create high-quality labels faster.
- Label across images, video, and 3D lidar — bounding boxes, SAM2 click-to-segment, cuboids, polylines, polygons, video object tracking, and temporal events.
- Set up and manage annotation projects with configurable multi-stage workflows.
- Prioritize the right data for labeling and perform intelligent QA.
- Use agentic labeling to annotate faster and more accurately.
Annotation, curation, and model evaluation live on the same platform, so annotators and ML engineers work from a shared view of the data — eliminating lengthy handoffs and lost context between teams.
Scalability
CVAT works for my small datasets. How does Voxel51 handle datasets with large data samples?
CVAT works best on small datasets
CVAT supports annotation on small datasets, but teams report performance slowdowns as the dataset and video file size grow. Users quickly outgrow the tool when they need to scale their data.
Voxel51 is built for multimodal datasets of any scale
Voxel51 is designed to scale with your data. Easily query, visualize, annotate, and evaluate data across billions of samples from connected cloud and data lakes.
One platform
My team currently uses CVAT for labeling and Voxel51 for data curation and model analysis. Does Voxel51 cover annotation as well?
CVAT handles annotation, but other ML workflows require other tools
Annotation is one step in a larger ML workflow. Teams that need to curate datasets, surface coverage gaps, evaluate model performance, and trace failures back to specific samples end up integrating CVAT with Voxel51 to cover the rest. Every additional tool incurs a handoff and maintenance cost, adding latency to each annotation iteration.
Voxel51 is a complete platform for curation, annotation, and model evaluation
Data curation, smart data selection, annotation, QA, and model evaluation are all first-class capabilities in Voxel51. Teams that previously used CVAT for annotation and Voxel51 for curation find they can consolidate entirely into Voxel51 with no loss in annotation capability and significant gains in the speed of every iteration.
Data selection
I currently queue all my data for labeling. Does Voxel51 help me filter and prioritize what’s actually worth labeling?
CVAT doesn’t help you prioritize what to label
Teams routinely label more data than they need to, which drives up annotation cost and time without adding coverage. CVAT lacks the guidance teams need to identify the samples worth labeling before the work starts.
Voxel51 surfaces the highest value data for labeling
Voxel51 smart data selection techniques use embeddings and ML-based sampling to identify unique, representative, and edge-case samples for the labeling queue—and flag redundant or low-quality ones for removal. Annotators have all functionality in Voxel51 to work a smaller, higher-value labeling queue, lowering budgets and labeling time.
Maintained 99% fall detection rates for model performance.
Maintained 99% fall detection rates for model performance.
Maintained 99% fall detection rates for model performance.
Smart labeling
My team manually labels data and performs QA. Does Voxel51 help me accelerate any of my annotation processes?
CVAT annotation workflows are manual
CVAT provides manual review stages and job-level validation workflows. The entire human-driven work requires reviewers to go through labels sequentially, flag issues by hand, and route jobs back to annotators. As dataset volume grows, manual annotation and QA become the bottleneck that slows overall development.
Voxel51 combines agentic and manual labeling for faster throughput
Voxel51’s AI-assisted agentic labeling reduces the manual effort of labeling and QA by providing a first good pass at label selection, creation, and QA. As a result, teams spend less time finding errors and creating labels from scratch.
Enterprise-ready
CVAT covers our current requirements. What does Voxel51 offer for building production AI?
Voxel51 is built for enterprise-grade security and scale. Deploy anywhere, cloud, hybrid, air-gapped, or on-premise.
- Work with billion+ samples. Search, query, and retrieve samples from connected data lakes.
- Adopt agentic workflows to label data and automate tasks, and draw faster insights into your data and model performance.
- Automate workflows and collaborate with teams, including sharing datasets, model results, and labeling QA.
- Governance and security with access control and audits.
Data curation made easy with Voxel51
Curate your datasets and get insights into your distribution, diversity, coverage, and more to optimize AI performance. Analyze billions of samples.
30% increase in model accuracy
Identify edge cases, outliers, duplicates, and mislabeled samples with precision filtering and dynamic slices—so you can build cleaner, leaner datasets that drive better model results.
5+ months of development time saved
Identify your best performing samples, weed out low-quality data, and organize dataset views intuitively — so you can focus on building better models, faster.
30% boost in team productivity
Work with enterprise-level workloads spanning billions of samples across multimodal data in the cloud, on-premise, or air gapped.
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