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.
CVAT is an open-source annotation tool, Roboflow takes you from labeling to deployment
CVAT vs Roboflow? Over 2 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 migrate from CVAT to Roboflow?
Import images to Roboflow
Bring COCO, YOLO, or CVAT XML exports into 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.
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Compare CVAT and Roboflow
CVAT is an MIT-licensed annotation tool that started inside Intel and is now maintained by CVAT.ai as a free self-hosted edition, a hosted CVAT Online, and an Enterprise edition. It is strong on annotation mechanics: rectangles, polygons, skeletons, brush masks, 3D cuboids, and video tracking with interpolation. Training and deployment happen somewhere else. Models come in from Hugging Face, Roboflow, or agents you run on your own hardware. Teams that want labeling, training, and deployment in one place often choose Roboflow. Roboflow adds foundation-model auto labeling, hosted training, a model registry, and deployment to cloud or edge, so the same team that labels the data ships the model. Engineers choose Roboflow because they can start today and keep the entire vision pipeline under one roof.
CVAT vs Roboflow Annotate: feature by feature
Both tools cover the core vision tasks: object detection, instance segmentation, keypoints, and classification. They differ in setup, automation, analytics, and what happens after the labels are done.
| Feature | Roboflow Annotate | CVAT |
|---|---|---|
| Supported labeling tasks | Object detection, segmentation, classification, keypoint, multimodal | Object detection, instance segmentation, keypoints, classification, 3D cuboids |
| Running environment | Web browser, no install | Web browser; self-host with Docker or use CVAT Online |
| Free tier | Yes | Limited (1 GB, 3 tasks; SAM tools demo-only) |
| Open source | Closed source platform; open-source supervision and inference libraries | Yes (MIT license) |
| Hosted labeling environment | Yes | Yes (CVAT Online) or self-host |
| AI auto labeling | Yes, Auto Label with GPT-6 Astra and Gemini from a text prompt | Paid tiers, via Hugging Face or Roboflow-hosted models, or your own AI Agents |
| Label assist with foundation models | Yes, Smart Polygon powered by Segment Anything | Paid tiers, SAM and SAM 3 click and box prompts |
| Label assist with custom models | Yes, any model trained or uploaded to Roboflow | Yes, via self-hosted Nuclio functions or AI Agents on your hardware |
| Dataset management | Yes, versioning, train/valid/test splits, health check, preprocessing | Basic, projects and tasks with cloud storage integration |
| Semantic dataset search | Yes | No |
| Dataset analytics | Yes | Limited |
| Labeling analytics | Yes | Enterprise only |
| Labeling history | Yes | No |
| Image augmentation | Yes | No |
| Export formats | 40+ formats | 24 formats (COCO, VOC, YOLO, CVAT XML, MOT, KITTI, etc.) |
| Role-based access control | Yes | Yes |
| SSO | Yes | Enterprise only |
| Model training | Yes | No |
| Model deployment | Yes | No |
| Application builder | Yes, Roboflow Workflows | No |
| Purchase mechanism | Online and sales | Online and sales |
The key differences
CVAT gives you fine-grained, frame-by-frame image and video labeling, keyframe interpolation, keyboard shortcuts, and a self-hosted setup for teams comfortable managing their own infrastructure. Roboflow Annotate adds dataset analytics, annotation history, semantic search, augmentation, and AI-assisted labeling with foundation models, then carries the labeled data straight into training, deployment, and app building.
- Ease of use and setup: Roboflow Annotate is ready to go in the browser. CVAT usually means technical setup and hosting, or a paid CVAT Online plan.
- Automation and AI assistance: Roboflow's Auto Label and SAM-powered assistants label most of a dataset before a human touches it. CVAT relies on manual workflows or models you connect yourself, and its SAM tools are limited to paid tiers.
- Analytics and traceability: Roboflow shows dataset distribution, annotation history, and semantic tagging. CVAT's analytics are limited, with workforce analytics reserved for Enterprise.
- Full pipeline support: Roboflow runs from labeling to model training, deployment, and app building in one place. CVAT stops at annotation.
CVAT fits teams that need self-hosted, video-centric labeling and are happy to run the rest of the stack themselves. Roboflow Annotate fits anyone who wants fast, automated labeling that feeds directly into integrated vision workflows and production models.
Roboflow
End-to-end computer vision platform (annotate, train, deploy)
CVAT
Open-source image, video, and 3D annotation tool with cloud and enterprise editions (CVAT.ai)
Scale & Ecosystem
Roboflow
- 2,000,000+ 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: Rivian, Chobani, USG, Pella)
- Self-serve sign-up; teams can begin annotating, training, and deploying without a services contract
CVAT
- Total funding is not publicly disclosed; PitchBook lists NVIDIA GPU Ventures and Prospective Technologies Ventures as investors
- Roughly 16,600 GitHub stars on the MIT-licensed repository
- Homepage customers include Fernride, EPAM, Deloitte, Purdue, Vivint, MiR, and Tecnalia
- Separate Labeling Services arm cites 300+ annotators across 12 time zones
- 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
- Auto Label uses foundation models (GPT-6 Astra, Gemini) to label images for classes you define in a text prompt; label 1,000 images in under ten minutes
- Label Assist pre-annotates new images with your own trained models, and Smart Polygon creates one-click polygon annotations powered by Meta AI's Segment Anything
- Native support for object detection, instance and semantic segmentation, image classification, keypoint detection, OCR, depth estimation, and multimodal tasks
- 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
CVAT
- Annotation types: rectangles, polygons, polylines, points, ellipses, cuboids, skeletons, brush masks, and tags, plus a dedicated 3D point-cloud workspace
- Video track mode with keyframe interpolation; SAM 2 tracking available in Enterprise and CVAT Online
- SAM 3 image segmentation with click and box prompts added January 2026 (text prompts and video tracking still in development); SAM tools run in demo mode on the Free tier
- Auto-annotation pulls models from Hugging Face or Roboflow, or from AI Agents that run your own models on your own hardware
- No native model training, hosted inference, deployment, or model registry; the Models list is a set of connected external or agent-served models
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
CVAT
- MIT-licensed open source; Python SDK (cvat-sdk) and CLI (cvat-cli) on PyPI
- REST API and webhooks, including on the free self-hosted Community edition
- 24 documented import/export formats including CVAT XML, COCO, YOLO, Pascal VOC, Cityscapes, MOT, KITTI, and Datumaro
- Self-hosts with Docker Compose plus an optional Nuclio serverless component for auto-annotation; Enterprise adds Kubernetes and air-gapped installs
- No comparable open-source CV utility library or self-hostable inference server; SDK is oriented to tasks, jobs, and annotations rather than model serving
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
CVAT
- Enterprise page states: "We currently do not hold ISO 27001 or SOC 2 certification," and advises customers to self-host and validate compliance internally
- GDPR and CCPA compliance claimed on the website; HIPAA is not documented beyond a page meta description
- Deployment options: CVAT Online multi-tenant SaaS, free self-hosted Community edition, and Enterprise on-premises, VPC, Kubernetes, or air-gapped
- Enterprise adds SSO (SAML 2.0 / OIDC), LDAP, audit logs, RBAC, and white-labeling
- Pricing: Free tier; Solo $33 per month; Team $33 per user per month; Enterprise Basic from $12,000 per year with custom Premium
Sources: roboflow.com, docs.roboflow.com, security.roboflow.com, universe.roboflow.com, github.com/roboflow, cvat.ai, docs.cvat.ai, github.com/cvat-ai, pitchbook.com, crunchbase.com. Figures reflect publicly available information as of September 2026.