Fast data labeling
Label data quickly with a suite of AI-assisted annotation tools to augment human labeling or fully automate your data labeling pipeline.
Voxel51 helps you explore your data, Roboflow helps you turn it into a deployed vision solution
Voxel51 vs. Roboflow? Over 1 million engineers create datasets, train models, and deploy to production with Roboflow.
Why are companies choosing Roboflow?
The turnkey solution for vision AI. Create datasets, train models, and deploy to production.
AnnotateAI-accelerated labeling and dataset optimization
TrainComplete model training toolset and platform
BuildVisual application builder and template
DeployManaged infrastructure, cloud and edge support
End-to-End Vision, One Platform
From labeling to deployment - build, train, and launch with ease.
Built for Builders, Ready for Anything
Interoperable infrastructure for developers to create custom vision solutions.
AI at the Edge, Without Limits
Deploy seamlessly to any edge device and power real-time vision AI.
Build vision AI applications with ease
Use a low-code open source platform to simplify building and deploying vision AI applications.
Machine learning expertise, always
Work with account-dedicated AI specialists and Field Engineers to accelerate development and optimize performance.
Datasets and models for every industry
Access thousands of datasets and pre-trained models to kickstart your computer vision projects.
Flexible model licensing
Choose from a range of licensing options to fit your needs, whether for commercial use, private deployment, or collaboration across teams.
Want to use Voxel51 and Roboflow?
Import images to Roboflow
Bring data from Voxel51 to Roboflow for model training.
Deploy with Roboflow
No matter where you train your model, use Roboflow's trusted deployment solutions.
Automate data labeling
Use AI labeling in Roboflow to automate 90% of human labeling.
OK I’m ready, how do I use Roboflow?
Roboflow makes it easy to build, train, and deploy custom computer vision models, even if you’re not a machine learning expert.
Speak with an AI expert
Our team will help you start solving business problems on the first call.
Ask us about:
- Solution architecting
- Live demonstration
- Pricing and specifications
- Feasibility assessment
Over 16,000 organizations build with Roboflow.
- Rivian
- Pella
- Chobani
- USG Corporation
- BNSF Railway
- American Woodmark
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Compare Roboflow and Voxel51
When it comes to comparing Roboflow and Voxel51, Voxel51 provides tools for visualizing and exploring datasets - especially video and complex annotations. Teams looking to build, train, and deploy computer vision models end-to-end often choose Roboflow. Roboflow offers a complete pipeline that includes data labeling, preprocessing, model training, deployment to any environment, and ongoing improvement with active learning. With Roboflow, engineers can move from raw data to production-ready models in one integrated platform. Teams use Roboflow because it combines powerful dataset tools with the infrastructure needed to iterate quickly and ship real-world vision systems.
Roboflow
End-to-end computer vision platform (annotate, train, deploy)
Voxel51
FiftyOne — open-source dataset curation and model evaluation
Scale & Ecosystem
Roboflow
- 1,000,000+ developers on the platform
- 1,000,000+ public datasets on Roboflow Universe
- 100,000+ pre-trained models hosted publicly
- 25,000+ organizations building with the platform, including more than half of the Fortune 100 (publicly cited: GE Vernova, Rivian, Chobani, USG, Pella)
Voxel51
- 2,000,000+ cumulative downloads of the open-source FiftyOne package
- Community Slack of approximately 1,500+ members at last public count
- Total disclosed funding of approximately $45.5M, including a $30M Series B led by Bessemer Venture Partners in May 2024
- Publicly cited customers include Berkshire Grey, Precision Planting, RIOS Intelligent Machines, and Forsight
- No public catalog of community-contributed datasets or pre-trained models comparable to Roboflow Universe
Product Capabilities (Computer Vision)
Roboflow
- End-to-end platform: dataset management, annotation, model training, hosted inference, and deployment
- Native support for object detection, instance and semantic segmentation, image classification, keypoint detection, OCR, depth estimation, and multimodal tasks
- Built-in foundation models including CLIP and SAM
- Roboflow Workflows for chaining detection, classification, OCR, and business logic into a single pipeline
- Active model registry covering RF-DETR, YOLO (v8 / v11 / v26), Detectron2, and other current architectures
Voxel51
- Platform scope is dataset visualization, curation, evaluation, and failure-mode analysis across images, video, 3D, and multimodal data
- Does not include native, built-in model training or hosted inference; documented architecture relies on integrations with external training frameworks (PyTorch, TensorFlow, Hugging Face) and external deployment
- VoxelGPT plugin provides natural-language querying of datasets
- FiftyOne Brain provides open-source utilities for similarity search, uniqueness scoring, and mistake detection on labeled data
Developer Experience
Roboflow
- Open-source supervision library - model-agnostic utilities for detections, tracking, annotation, and evaluation
- Open-source inference server, self-hostable HTTP inference for custom and foundation models
- Native integrations with Hugging Face Transformers, MMDetection, and the broader open-source CV stack
- Python SDK plus REST/HTTP APIs; standardized I/O lets teams swap model weights without changing application code
Voxel51
- Open-source Python library (fiftyone), supporting Python 3.9–3.12
- Plugin framework for extending workflows; FiftyOne Brain and FiftyOne Plugin Examples are open-sourced
- No comparable self-hostable inference server or model-registry pattern; the SDK is oriented to dataset operations rather than training or serving
- Strong community presence on GitHub, Slack, and Discord; CVPR / academic adoption
Enterprise & Security
Roboflow
- SOC 2 Type II compliant
- HIPAA-compliant infrastructure with BAAs available
- PCI DSS (SAQ A and AOC) compliance
- Deployment options: managed cloud, customer VPC, on-premises, and fully air-gapped / offline (Docker-based) for firewalled environments
- Training and inference can run on customer-owned bare metal or in the customer's own cloud account
Voxel51
- SOC 2, HIPAA, ISO 27001, and PCI DSS compliance status are not publicly documented on Voxel51's website or trust resources
- Enterprise product (FiftyOne Teams) supports customer-deployed environments since FiftyOne is a self-installable Python library; managed-cloud, VPC, and air-gapped offerings as standardized SKUs are not publicly documented
- No hosted inference layer in scope; security model is therefore centered on dataset storage and collaboration rather than model serving
Sources: roboflow.com, docs.roboflow.com, security.roboflow.com, universe.roboflow.com, github.com/roboflow, voxel51.com, docs.voxel51.com, github.com/voxel51, pitchbook.com, crunchbase.com. Figures reflect publicly available information as of May 2026.